Rossmann Store Sales.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Forecast sales using store, promotion, and competitor data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Rossmann is challenging you to predict 6 weeks of daily sales for 1,115 stores located across Germany. \n",
    " Reliable sales forecasts enable store managers to create effective staff schedules that increase productivity and motivation. \n",
    "By helping Rossmann create a robust prediction model, you will help store managers stay focused on what’s most important to them:\n",
    "    their customers and their teams! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import Dependencies\n",
    "%matplotlib inline\n",
    "\n",
    "# Start Python Imports\n",
    "import math, time, random, datetime\n",
    "\n",
    "# Data Manipulation\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Visualization \n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "import seaborn as sns\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "\n",
    "# Preprocessing\n",
    "from sklearn.preprocessing import OneHotEncoder, LabelEncoder, label_binarize\n",
    "from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier\n",
    "# Machine learning\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import model_selection, tree, preprocessing, metrics, linear_model\n",
    "from sklearn.svm import LinearSVC\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.linear_model import LinearRegression, LogisticRegression, SGDClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "\n",
    "\n",
    "from pandas_summary import DataFrameSummary\n",
    "from sklearn.ensemble import RandomForestRegressor, RandomForestClassifier\n",
    "from IPython.display import display\n",
    "\n",
    "from sklearn import metrics\n",
    "\n",
    "\n",
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import train & test data \n",
    "train = pd.read_csv('/home/david/Desktop/Rossmann-Store-Sales/train.csv')\n",
    "test = pd.read_csv('/home/david/Desktop/Rossmann-Store-Sales/test.csv')\n",
    "store=pd.read_csv('/home/david/Desktop/Rossmann-Store-Sales/store.csv')\n",
    "sample_submission = pd.read_csv('/home/david/Desktop/Rossmann-Store-Sales/sample_submission.csv') # example of what a submission should look like"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "  <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",
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       "      <th>Promo</th>\n",
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      "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",
       "3      4          5  2015-07-31  13995       1498     1      1            0   \n",
       "4      5          5  2015-07-31   4822        559     1      1            0   \n",
       "\n",
       "   SchoolHoliday  \n",
       "0              1  \n",
       "1              1  \n",
       "2              1  \n",
       "3              1  \n",
       "4              1  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View the training data\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>Promo</th>\n",
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       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
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      ],
      "text/plain": [
       "   Id  Store  DayOfWeek        Date  Open  Promo StateHoliday  SchoolHoliday\n",
       "0   1      1          4  2015-09-17   1.0      1            0              0\n",
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       "5   6     10          4  2015-09-17   1.0      1            0              0\n",
       "6   7     11          4  2015-09-17   1.0      1            0              0\n",
       "7   8     12          4  2015-09-17   1.0      1            0              0\n",
       "8   9     13          4  2015-09-17   1.0      1            0              0\n",
       "9  10     14          4  2015-09-17   1.0      1            0              0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View the test data (not same columns as the training data doens't have customer and sales, id)\n",
    "test.head(10) # head = view first 5 lines"
   ]
  },
  {
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    "len(train)"
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   "cell_type": "code",
   "execution_count": 11,
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     "execution_count": 11,
     "metadata": {},
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   ],
   "source": [
    "len(store)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
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       "          Id  Store  DayOfWeek        Date  Open  Promo StateHoliday  \\\n",
       "41078  41079   1104          6  2015-08-01   1.0      0            0   \n",
       "41079  41080   1105          6  2015-08-01   1.0      0            0   \n",
       "41080  41081   1106          6  2015-08-01   1.0      0            0   \n",
       "41081  41082   1107          6  2015-08-01   1.0      0            0   \n",
       "41082  41083   1109          6  2015-08-01   1.0      0            0   \n",
       "41083  41084   1111          6  2015-08-01   1.0      0            0   \n",
       "41084  41085   1112          6  2015-08-01   1.0      0            0   \n",
       "41085  41086   1113          6  2015-08-01   1.0      0            0   \n",
       "41086  41087   1114          6  2015-08-01   1.0      0            0   \n",
       "41087  41088   1115          6  2015-08-01   1.0      0            0   \n",
       "\n",
       "       SchoolHoliday  \n",
       "41078              0  \n",
       "41079              0  \n",
       "41080              0  \n",
       "41081              0  \n",
       "41082              0  \n",
       "41083              0  \n",
       "41084              0  \n",
       "41085              0  \n",
       "41086              0  \n",
       "41087              1  "
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    "test.tail(10)"
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       "    }\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>1017199</th>\n",
       "      <td>1106</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>a</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017200</th>\n",
       "      <td>1107</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>a</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017201</th>\n",
       "      <td>1108</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>a</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017202</th>\n",
       "      <td>1109</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>a</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017203</th>\n",
       "      <td>1110</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>a</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017204</th>\n",
       "      <td>1111</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>a</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017205</th>\n",
       "      <td>1112</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>a</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017206</th>\n",
       "      <td>1113</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>a</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017207</th>\n",
       "      <td>1114</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>a</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017208</th>\n",
       "      <td>1115</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>a</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Store  DayOfWeek        Date  Sales  Customers  Open  Promo  \\\n",
       "1017199   1106          2  2013-01-01      0          0     0      0   \n",
       "1017200   1107          2  2013-01-01      0          0     0      0   \n",
       "1017201   1108          2  2013-01-01      0          0     0      0   \n",
       "1017202   1109          2  2013-01-01      0          0     0      0   \n",
       "1017203   1110          2  2013-01-01      0          0     0      0   \n",
       "1017204   1111          2  2013-01-01      0          0     0      0   \n",
       "1017205   1112          2  2013-01-01      0          0     0      0   \n",
       "1017206   1113          2  2013-01-01      0          0     0      0   \n",
       "1017207   1114          2  2013-01-01      0          0     0      0   \n",
       "1017208   1115          2  2013-01-01      0          0     0      0   \n",
       "\n",
       "        StateHoliday  SchoolHoliday  \n",
       "1017199            a              1  \n",
       "1017200            a              1  \n",
       "1017201            a              1  \n",
       "1017202            a              1  \n",
       "1017203            a              1  \n",
       "1017204            a              1  \n",
       "1017205            a              1  \n",
       "1017206            a              1  \n",
       "1017207            a              1  \n",
       "1017208            a              1  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<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>1105</th>\n",
       "      <td>1106</td>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>5330.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1106</th>\n",
       "      <td>1107</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2012.0</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",
       "    <tr>\n",
       "      <th>1107</th>\n",
       "      <td>1108</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>540.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1108</th>\n",
       "      <td>1109</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>3490.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1109</th>\n",
       "      <td>1110</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>900.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1110</th>\n",
       "      <td>1111</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1111</th>\n",
       "      <td>1112</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>1880.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1112</th>\n",
       "      <td>1113</td>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>9260.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1113</th>\n",
       "      <td>1114</td>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>870.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1114</th>\n",
       "      <td>1115</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>5350.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Mar,Jun,Sept,Dec</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Store StoreType Assortment  CompetitionDistance  \\\n",
       "1105   1106         a          c               5330.0   \n",
       "1106   1107         a          a               1400.0   \n",
       "1107   1108         a          a                540.0   \n",
       "1108   1109         c          a               3490.0   \n",
       "1109   1110         c          c                900.0   \n",
       "1110   1111         a          a               1900.0   \n",
       "1111   1112         c          c               1880.0   \n",
       "1112   1113         a          c               9260.0   \n",
       "1113   1114         a          c                870.0   \n",
       "1114   1115         d          c               5350.0   \n",
       "\n",
       "      CompetitionOpenSinceMonth  CompetitionOpenSinceYear  Promo2  \\\n",
       "1105                        9.0                    2011.0       1   \n",
       "1106                        6.0                    2012.0       1   \n",
       "1107                        4.0                    2004.0       0   \n",
       "1108                        4.0                    2011.0       1   \n",
       "1109                        9.0                    2010.0       0   \n",
       "1110                        6.0                    2014.0       1   \n",
       "1111                        4.0                    2006.0       0   \n",
       "1112                        NaN                       NaN       0   \n",
       "1113                        NaN                       NaN       0   \n",
       "1114                        NaN                       NaN       1   \n",
       "\n",
       "      Promo2SinceWeek  Promo2SinceYear     PromoInterval  \n",
       "1105             31.0           2013.0   Jan,Apr,Jul,Oct  \n",
       "1106             13.0           2010.0   Jan,Apr,Jul,Oct  \n",
       "1107              NaN              NaN               NaN  \n",
       "1108             22.0           2012.0   Jan,Apr,Jul,Oct  \n",
       "1109              NaN              NaN               NaN  \n",
       "1110             31.0           2013.0   Jan,Apr,Jul,Oct  \n",
       "1111              NaN              NaN               NaN  \n",
       "1112              NaN              NaN               NaN  \n",
       "1113              NaN              NaN               NaN  \n",
       "1114             22.0           2012.0  Mar,Jun,Sept,Dec  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store.tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data description\n",
    "\n",
    " Most of the fields are self-explanatory. The following are descriptions for those that aren't.\n",
    "\n",
    "##### Id  -an Id that represents a (Store, Date) duple within the test set\n",
    "\n",
    "##### Store - a unique Id for each store\n",
    "\n",
    "##### Sales - the turnover for any given day (this is what you are predicting)\n",
    "\n",
    "##### Customers - the number of customers on a given day\n",
    "\n",
    "##### Open - an indicator for whether the store was open: 0 = closed, 1 = open\n",
    "\n",
    "##### StateHoliday - indicates a state holiday. Normally all stores, with few exceptions, are closed on state holidays. Note that all schools are closed on public holidays and weekends.  \n",
    "                      a = public holiday, \n",
    "                      b = Easter holiday, \n",
    "                      c = Christmas, \n",
    "                      0 = None\n",
    "                      \n",
    "##### SchoolHoliday - indicates if the (Store, Date) was affected by the closure of public schools\n",
    "\n",
    "##### StoreType - differentiates between 4 different store models: a, b, c, d\n",
    "\n",
    "##### Assortment - describes an assortment level: a = basic, b = extra, c = extended\n",
    "\n",
    "##### CompetitionDistance - distance in meters to the nearest competitor store\n",
    "\n",
    "##### CompetitionOpenSince[Month/Year] - gives the approximate year and month of the time the nearest competitor was opened\n",
    "\n",
    "##### Promo - indicates whether a store is running a promo on that day\n",
    "\n",
    "##### Promo2 - Promo2 is a continuing and consecutive promotion for some stores: \n",
    "                          0 = store is not participating, \n",
    "                          1 = store is participating\n",
    "                          \n",
    "##### Promo2Since[Year/Week] - describes the year and calendar week when the store started participating in Promo2\n",
    "\n",
    "##### PromoInterval - describes the consecutive intervals Promo2 is started, naming the months the promotion is started anew. E.g. \"Feb,May,Aug,Nov\" means each round starts in February, May, August, November of any given year for that store"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What missing values are there?\n",
    "\n",
    "Where are the holes in our data?\n",
    "\n",
    "These are rows which are missing a value or have NaN instead of something like the rest of the column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'missingno' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-223-43c05b803561>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# Plot graphic of missing values\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmissingno\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmatrix\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrain\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfigsize\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m30\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[1;31m#30 and 10 are pixels\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'missingno' is not defined"
     ]
    }
   ],
   "source": [
    "# Plot graphic of missing values\n",
    "missingno.matrix(train, figsize = (30,20))\n",
    "#30 and 10 are pixels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'missingno' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-224-bcc0861a6543>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# Plot graphic of missing values\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmissingno\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmatrix\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfigsize\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m30\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[1;31m#30 and 10 are pixels\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'missingno' is not defined"
     ]
    }
   ],
   "source": [
    "# Plot graphic of missing values\n",
    "missingno.matrix(test, figsize = (30,20))\n",
    "#30 and 10 are pixels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'missingno' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-225-01e28f3a051a>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# Plot graphic of missing values\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmissingno\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmatrix\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstore\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfigsize\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m30\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m20\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[1;31m#30 and 10 are pixels\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'missingno' is not defined"
     ]
    }
   ],
   "source": [
    "# Plot graphic of missing values\n",
    "missingno.matrix(store, figsize = (30,20))\n",
    "#30 and 10 are pixels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Store            0\n",
       "DayOfWeek        0\n",
       "Date             0\n",
       "Sales            0\n",
       "Customers        0\n",
       "Open             0\n",
       "Promo            0\n",
       "StateHoliday     0\n",
       "SchoolHoliday    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                0\n",
       "Store             0\n",
       "DayOfWeek         0\n",
       "Date              0\n",
       "Open             11\n",
       "Promo             0\n",
       "StateHoliday      0\n",
       "SchoolHoliday     0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of missing or NaN values for each column:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'Store': 0,\n",
       " 'DayOfWeek': 0,\n",
       " 'Date': 0,\n",
       " 'Sales': 0,\n",
       " 'Customers': 0,\n",
       " 'Open': 0,\n",
       " 'Promo': 0,\n",
       " 'StateHoliday': 0,\n",
       " 'SchoolHoliday': 0}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's write a little function to show us how many missing values\n",
    "\n",
    "def find_missing_values(df, columns):\n",
    "    \"\"\"\n",
    "    Finds number of rows where certain columns are missing values.\n",
    "    ::param_df:: = target dataframe\n",
    "    ::param_columns:: = list of columns\n",
    "    \"\"\"\n",
    "    missing_vals = {}\n",
    "    print(\"Number of missing or NaN values for each column:\")\n",
    "    df_length = len(df)\n",
    "    for column in columns:\n",
    "        total_column_values = df[column].value_counts().sum()\n",
    "        missing_vals[column] = df_length-total_column_values\n",
    "        #missing_vals.append(str(column)+ \" column has {} missing or NaN values.\".format())\n",
    "    return missing_vals\n",
    "\n",
    "missing_values = find_missing_values(train, columns=train.columns)\n",
    "missing_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of missing or NaN values for each column:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'Id': 0,\n",
       " 'Store': 0,\n",
       " 'DayOfWeek': 0,\n",
       " 'Date': 0,\n",
       " 'Open': 11,\n",
       " 'Promo': 0,\n",
       " 'StateHoliday': 0,\n",
       " 'SchoolHoliday': 0}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's write a little function to show us how many missing values\n",
    "\n",
    "def find_missing_values(df, columns):\n",
    "    \"\"\"\n",
    "    Finds number of rows where certain columns are missing values.\n",
    "    ::param_df:: = target dataframe\n",
    "    ::param_columns:: = list of columns\n",
    "    \"\"\"\n",
    "    missing_vals = {}\n",
    "    print(\"Number of missing or NaN values for each column:\")\n",
    "    df_length = len(df)\n",
    "    for column in columns:\n",
    "        total_column_values = df[column].value_counts().sum()\n",
    "        missing_vals[column] = df_length-total_column_values\n",
    "        #missing_vals.append(str(column)+ \" column has {} missing or NaN values.\".format())\n",
    "    return missing_vals\n",
    "\n",
    "missing_values = find_missing_values(test, columns=test.columns)\n",
    "missing_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of missing or NaN values for each column:\n"
     ]
    },
    {
     "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}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's write a little function to show us how many missing values\n",
    "\n",
    "def find_missing_values(df, columns):\n",
    "    \"\"\"\n",
    "    Finds number of rows where certain columns are missing values.\n",
    "    ::param_df:: = target dataframe\n",
    "    ::param_columns:: = list of columns\n",
    "    \"\"\"\n",
    "    missing_vals = {}\n",
    "    print(\"Number of missing or NaN values for each column:\")\n",
    "    df_length = len(df)\n",
    "    for column in columns:\n",
    "        total_column_values = df[column].value_counts().sum()\n",
    "        missing_vals[column] = df_length-total_column_values\n",
    "        #missing_vals.append(str(column)+ \" column has {} missing or NaN values.\".format())\n",
    "    return missing_vals\n",
    "\n",
    "missing_values = find_missing_values(store, columns=store.columns)\n",
    "missing_values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## To perform our data analysis, let's create two new dataframes\n",
    "i will create one for exploring discretised continuous variables (continuous variables which have been sorted into some kind of category) and another for exploring continuous variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_bin = pd.DataFrame() # for discretised continuous variables\n",
    "df_con = pd.DataFrame() # for continuous variables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What datatypes are in the dataframe?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "train['Date']=pd.to_datetime(train['Date'],dayfirst=False)\n",
    "test['Date']=pd.to_datetime(test['Date'],dayfirst=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Store                     int64\n",
       "DayOfWeek                 int64\n",
       "Date             datetime64[ns]\n",
       "Sales                     int64\n",
       "Customers                 int64\n",
       "Open                      int64\n",
       "Promo                     int64\n",
       "StateHoliday             object\n",
       "SchoolHoliday             int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Different data types in the dataset\n",
    "train.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                        int64\n",
       "Store                     int64\n",
       "DayOfWeek                 int64\n",
       "Date             datetime64[ns]\n",
       "Open                    float64\n",
       "Promo                     int64\n",
       "StateHoliday             object\n",
       "SchoolHoliday             int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Different data types in the dataset\n",
    "test.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Store                          int64\n",
       "StoreType                     object\n",
       "Assortment                    object\n",
       "CompetitionDistance          float64\n",
       "CompetitionOpenSinceMonth    float64\n",
       "CompetitionOpenSinceYear     float64\n",
       "Promo2                         int64\n",
       "Promo2SinceWeek              float64\n",
       "Promo2SinceYear              float64\n",
       "PromoInterval                 object\n",
       "dtype: object"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Different data types in the dataset\n",
    "store.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's explore each of these features individually"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Target Feature: Sales\n",
    "\n",
    "Description:  the turnover for any given day"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create new columns Year and Month to be used in the analysis of seasonal effects on sales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Types of holidats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['0', 'a', 'b', 'c', 0], dtype=object)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['StateHoliday'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "convert categorical data to numeric data for state holiday"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "train.loc[train['StateHoliday'] == '0', 'StateHoliday'] = 0\n",
    "train.loc[train['StateHoliday'] == 'a', 'StateHoliday'] = 1\n",
    "train.loc[train['StateHoliday'] == 'b', 'StateHoliday'] = 2\n",
    "train.loc[train['StateHoliday'] == 'c', 'StateHoliday'] = 3\n",
    "train['StateHoliday'] = train['StateHoliday'].astype(int, copy=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>13995</td>\n",
       "      <td>1498</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>4822</td>\n",
       "      <td>559</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>5651</td>\n",
       "      <td>589</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>15344</td>\n",
       "      <td>1414</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>8492</td>\n",
       "      <td>833</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>8565</td>\n",
       "      <td>687</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>7185</td>\n",
       "      <td>681</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",
       "3      4          5 2015-07-31  13995       1498     1      1             0   \n",
       "4      5          5 2015-07-31   4822        559     1      1             0   \n",
       "5      6          5 2015-07-31   5651        589     1      1             0   \n",
       "6      7          5 2015-07-31  15344       1414     1      1             0   \n",
       "7      8          5 2015-07-31   8492        833     1      1             0   \n",
       "8      9          5 2015-07-31   8565        687     1      1             0   \n",
       "9     10          5 2015-07-31   7185        681     1      1             0   \n",
       "\n",
       "   SchoolHoliday  \n",
       "0              1  \n",
       "1              1  \n",
       "2              1  \n",
       "3              1  \n",
       "4              1  \n",
       "5              1  \n",
       "6              1  \n",
       "7              1  \n",
       "8              1  \n",
       "9              1  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "train['Date']=pd.to_datetime(train['Date'],dayfirst=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>31</td>\n",
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       "      <td>3</td>\n",
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       "      <td>7</td>\n",
       "      <td>31</td>\n",
       "      <td>212</td>\n",
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       "      <td>31</td>\n",
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       "      <td>2015</td>\n",
       "      <td>7</td>\n",
       "      <td>31</td>\n",
       "      <td>212</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017191</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017192</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017193</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017194</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017195</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017196</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017197</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017198</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017199</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017200</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017201</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017202</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017203</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017204</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017205</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017206</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017207</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017208</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1017209 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         year  month  day  dayofyear  week  weekofyear  dayofweek  weekday  \\\n",
       "0        2015      7   31        212    31          31          4        4   \n",
       "1        2015      7   31        212    31          31          4        4   \n",
       "2        2015      7   31        212    31          31          4        4   \n",
       "3        2015      7   31        212    31          31          4        4   \n",
       "4        2015      7   31        212    31          31          4        4   \n",
       "5        2015      7   31        212    31          31          4        4   \n",
       "6        2015      7   31        212    31          31          4        4   \n",
       "7        2015      7   31        212    31          31          4        4   \n",
       "8        2015      7   31        212    31          31          4        4   \n",
       "9        2015      7   31        212    31          31          4        4   \n",
       "10       2015      7   31        212    31          31          4        4   \n",
       "11       2015      7   31        212    31          31          4        4   \n",
       "12       2015      7   31        212    31          31          4        4   \n",
       "13       2015      7   31        212    31          31          4        4   \n",
       "14       2015      7   31        212    31          31          4        4   \n",
       "15       2015      7   31        212    31          31          4        4   \n",
       "16       2015      7   31        212    31          31          4        4   \n",
       "17       2015      7   31        212    31          31          4        4   \n",
       "18       2015      7   31        212    31          31          4        4   \n",
       "19       2015      7   31        212    31          31          4        4   \n",
       "20       2015      7   31        212    31          31          4        4   \n",
       "21       2015      7   31        212    31          31          4        4   \n",
       "22       2015      7   31        212    31          31          4        4   \n",
       "23       2015      7   31        212    31          31          4        4   \n",
       "24       2015      7   31        212    31          31          4        4   \n",
       "25       2015      7   31        212    31          31          4        4   \n",
       "26       2015      7   31        212    31          31          4        4   \n",
       "27       2015      7   31        212    31          31          4        4   \n",
       "28       2015      7   31        212    31          31          4        4   \n",
       "29       2015      7   31        212    31          31          4        4   \n",
       "...       ...    ...  ...        ...   ...         ...        ...      ...   \n",
       "1017179  2013      1    1          1     1           1          1        1   \n",
       "1017180  2013      1    1          1     1           1          1        1   \n",
       "1017181  2013      1    1          1     1           1          1        1   \n",
       "1017182  2013      1    1          1     1           1          1        1   \n",
       "1017183  2013      1    1          1     1           1          1        1   \n",
       "1017184  2013      1    1          1     1           1          1        1   \n",
       "1017185  2013      1    1          1     1           1          1        1   \n",
       "1017186  2013      1    1          1     1           1          1        1   \n",
       "1017187  2013      1    1          1     1           1          1        1   \n",
       "1017188  2013      1    1          1     1           1          1        1   \n",
       "1017189  2013      1    1          1     1           1          1        1   \n",
       "1017190  2013      1    1          1     1           1          1        1   \n",
       "1017191  2013      1    1          1     1           1          1        1   \n",
       "1017192  2013      1    1          1     1           1          1        1   \n",
       "1017193  2013      1    1          1     1           1          1        1   \n",
       "1017194  2013      1    1          1     1           1          1        1   \n",
       "1017195  2013      1    1          1     1           1          1        1   \n",
       "1017196  2013      1    1          1     1           1          1        1   \n",
       "1017197  2013      1    1          1     1           1          1        1   \n",
       "1017198  2013      1    1          1     1           1          1        1   \n",
       "1017199  2013      1    1          1     1           1          1        1   \n",
       "1017200  2013      1    1          1     1           1          1        1   \n",
       "1017201  2013      1    1          1     1           1          1        1   \n",
       "1017202  2013      1    1          1     1           1          1        1   \n",
       "1017203  2013      1    1          1     1           1          1        1   \n",
       "1017204  2013      1    1          1     1           1          1        1   \n",
       "1017205  2013      1    1          1     1           1          1        1   \n",
       "1017206  2013      1    1          1     1           1          1        1   \n",
       "1017207  2013      1    1          1     1           1          1        1   \n",
       "1017208  2013      1    1          1     1           1          1        1   \n",
       "\n",
       "         quarter  \n",
       "0              3  \n",
       "1              3  \n",
       "2              3  \n",
       "3              3  \n",
       "4              3  \n",
       "5              3  \n",
       "6              3  \n",
       "7              3  \n",
       "8              3  \n",
       "9              3  \n",
       "10             3  \n",
       "11             3  \n",
       "12             3  \n",
       "13             3  \n",
       "14             3  \n",
       "15             3  \n",
       "16             3  \n",
       "17             3  \n",
       "18             3  \n",
       "19             3  \n",
       "20             3  \n",
       "21             3  \n",
       "22             3  \n",
       "23             3  \n",
       "24             3  \n",
       "25             3  \n",
       "26             3  \n",
       "27             3  \n",
       "28             3  \n",
       "29             3  \n",
       "...          ...  \n",
       "1017179        1  \n",
       "1017180        1  \n",
       "1017181        1  \n",
       "1017182        1  \n",
       "1017183        1  \n",
       "1017184        1  \n",
       "1017185        1  \n",
       "1017186        1  \n",
       "1017187        1  \n",
       "1017188        1  \n",
       "1017189        1  \n",
       "1017190        1  \n",
       "1017191        1  \n",
       "1017192        1  \n",
       "1017193        1  \n",
       "1017194        1  \n",
       "1017195        1  \n",
       "1017196        1  \n",
       "1017197        1  \n",
       "1017198        1  \n",
       "1017199        1  \n",
       "1017200        1  \n",
       "1017201        1  \n",
       "1017202        1  \n",
       "1017203        1  \n",
       "1017204        1  \n",
       "1017205        1  \n",
       "1017206        1  \n",
       "1017207        1  \n",
       "1017208        1  \n",
       "\n",
       "[1017209 rows x 9 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Date = train['Date']\n",
    "\n",
    "pd.DataFrame({\"year\": Date.dt.year,\n",
    "              \"month\": Date.dt.month,\n",
    "              \"day\": Date.dt.day,\n",
    "              #\"hour\": Date.dt.hour,\n",
    "              \"dayofyear\": Date.dt.dayofyear,\n",
    "              \"week\": Date.dt.week,\n",
    "              \"weekofyear\": Date.dt.weekofyear,\n",
    "              \"dayofweek\": Date.dt.dayofweek,\n",
    "              \"weekday\": Date.dt.weekday,\n",
    "              \"quarter\": Date.dt.quarter,\n",
    "             })"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "School holidays how many we have"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['SchoolHoliday'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "View of data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              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  StateHoliday  SchoolHoliday  \n",
      "count  1.017209e+06  1.017209e+06   1.017209e+06  \n",
      "mean   3.815145e-01  4.516279e-02   1.786467e-01  \n",
      "std    4.857586e-01  2.836559e-01   3.830564e-01  \n",
      "min    0.000000e+00  0.000000e+00   0.000000e+00  \n",
      "25%    0.000000e+00  0.000000e+00   0.000000e+00  \n",
      "50%    0.000000e+00  0.000000e+00   0.000000e+00  \n",
      "75%    1.000000e+00  0.000000e+00   0.000000e+00  \n",
      "max    1.000000e+00  3.000000e+00   1.000000e+00  \n"
     ]
    }
   ],
   "source": [
    "print(train.describe())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check open day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['Open'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## analysing test data set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(41088, 8)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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>Id</th>\n",
       "      <th>Store</th>\n",
       "      <th>DayOfWeek</th>\n",
       "      <th>Date</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>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  Store  DayOfWeek       Date  Open  Promo StateHoliday  SchoolHoliday\n",
       "0   1      1          4 2015-09-17   1.0      1            0              0\n",
       "1   2      3          4 2015-09-17   1.0      1            0              0\n",
       "2   3      7          4 2015-09-17   1.0      1            0              0\n",
       "3   4      8          4 2015-09-17   1.0      1            0              0\n",
       "4   5      9          4 2015-09-17   1.0      1            0              0"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change the column names of the test dataset to get construct same feature names with the train dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "check information about a particular store "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         Store  DayOfWeek       Date  Sales  Customers  Open  Promo  \\\n",
      "21          22          5 2015-07-31   6566        633     1      1   \n",
      "1136        22          4 2015-07-30   5685        575     1      1   \n",
      "2251        22          3 2015-07-29   5551        525     1      1   \n",
      "3366        22          2 2015-07-28   5761        525     1      1   \n",
      "4481        22          1 2015-07-27   7114        621     1      1   \n",
      "5596        22          7 2015-07-26      0          0     0      0   \n",
      "6711        22          6 2015-07-25   3540        415     1      0   \n",
      "7826        22          5 2015-07-24   5221        592     1      0   \n",
      "8941        22          4 2015-07-23   4390        501     1      0   \n",
      "10056       22          3 2015-07-22   4058        436     1      0   \n",
      "11171       22          2 2015-07-21   4487        468     1      0   \n",
      "12286       22          1 2015-07-20   4675        503     1      0   \n",
      "13401       22          7 2015-07-19      0          0     0      0   \n",
      "14516       22          6 2015-07-18   3578        390     1      0   \n",
      "15631       22          5 2015-07-17   5369        548     1      1   \n",
      "16746       22          4 2015-07-16   4842        505     1      1   \n",
      "17861       22          3 2015-07-15   4841        533     1      1   \n",
      "18976       22          2 2015-07-14   5027        561     1      1   \n",
      "20091       22          1 2015-07-13   6828        615     1      1   \n",
      "21206       22          7 2015-07-12      0          0     0      0   \n",
      "22321       22          6 2015-07-11   3480        392     1      0   \n",
      "23436       22          5 2015-07-10   4038        505     1      0   \n",
      "24551       22          4 2015-07-09   4534        519     1      0   \n",
      "25666       22          3 2015-07-08   4194        470     1      0   \n",
      "26781       22          2 2015-07-07   3757        429     1      0   \n",
      "27896       22          1 2015-07-06   3681        448     1      0   \n",
      "29011       22          7 2015-07-05      0          0     0      0   \n",
      "30126       22          6 2015-07-04   3188        340     1      0   \n",
      "31241       22          5 2015-07-03   5673        578     1      1   \n",
      "32356       22          4 2015-07-02   5134        527     1      1   \n",
      "...        ...        ...        ...    ...        ...   ...    ...   \n",
      "983781      22          3 2013-01-30   3846        468     1      0   \n",
      "984896      22          2 2013-01-29   3099        383     1      0   \n",
      "986011      22          1 2013-01-28   3797        467     1      0   \n",
      "987126      22          7 2013-01-27      0          0     0      0   \n",
      "988241      22          6 2013-01-26   3006        360     1      0   \n",
      "989356      22          5 2013-01-25   5451        597     1      1   \n",
      "990471      22          4 2013-01-24   4168        468     1      1   \n",
      "991586      22          3 2013-01-23   4566        496     1      1   \n",
      "992701      22          2 2013-01-22   5113        548     1      1   \n",
      "993816      22          1 2013-01-21   5048        526     1      1   \n",
      "994931      22          7 2013-01-20      0          0     0      0   \n",
      "996046      22          6 2013-01-19   2948        324     1      0   \n",
      "997161      22          5 2013-01-18   4332        507     1      0   \n",
      "998276      22          4 2013-01-17   2855        377     1      0   \n",
      "999391      22          3 2013-01-16   3132        382     1      0   \n",
      "1000506     22          2 2013-01-15   3125        438     1      0   \n",
      "1001621     22          1 2013-01-14   3600        458     1      0   \n",
      "1002736     22          7 2013-01-13      0          0     0      0   \n",
      "1003851     22          6 2013-01-12   2665        331     1      0   \n",
      "1004966     22          5 2013-01-11   4750        553     1      1   \n",
      "1006081     22          4 2013-01-10   4742        528     1      1   \n",
      "1007196     22          3 2013-01-09   5254        512     1      1   \n",
      "1008311     22          2 2013-01-08   5779        609     1      1   \n",
      "1009426     22          1 2013-01-07   6507        627     1      1   \n",
      "1010541     22          7 2013-01-06      0          0     0      0   \n",
      "1011656     22          6 2013-01-05   2645        293     1      0   \n",
      "1012771     22          5 2013-01-04   4053        501     1      0   \n",
      "1013886     22          4 2013-01-03   3894        462     1      0   \n",
      "1015001     22          3 2013-01-02   3514        453     1      0   \n",
      "1016116     22          2 2013-01-01      0          0     0      0   \n",
      "\n",
      "         StateHoliday  SchoolHoliday  \n",
      "21                  0              0  \n",
      "1136                0              0  \n",
      "2251                0              0  \n",
      "3366                0              0  \n",
      "4481                0              0  \n",
      "5596                0              0  \n",
      "6711                0              0  \n",
      "7826                0              0  \n",
      "8941                0              0  \n",
      "10056               0              0  \n",
      "11171               0              0  \n",
      "12286               0              0  \n",
      "13401               0              0  \n",
      "14516               0              0  \n",
      "15631               0              0  \n",
      "16746               0              0  \n",
      "17861               0              0  \n",
      "18976               0              0  \n",
      "20091               0              0  \n",
      "21206               0              0  \n",
      "22321               0              0  \n",
      "23436               0              0  \n",
      "24551               0              0  \n",
      "25666               0              0  \n",
      "26781               0              0  \n",
      "27896               0              0  \n",
      "29011               0              0  \n",
      "30126               0              0  \n",
      "31241               0              0  \n",
      "32356               0              0  \n",
      "...               ...            ...  \n",
      "983781              0              0  \n",
      "984896              0              0  \n",
      "986011              0              0  \n",
      "987126              0              0  \n",
      "988241              0              0  \n",
      "989356              0              0  \n",
      "990471              0              0  \n",
      "991586              0              0  \n",
      "992701              0              0  \n",
      "993816              0              0  \n",
      "994931              0              0  \n",
      "996046              0              0  \n",
      "997161              0              0  \n",
      "998276              0              0  \n",
      "999391              0              0  \n",
      "1000506             0              0  \n",
      "1001621             0              0  \n",
      "1002736             0              0  \n",
      "1003851             0              0  \n",
      "1004966             0              0  \n",
      "1006081             0              0  \n",
      "1007196             0              0  \n",
      "1008311             0              0  \n",
      "1009426             0              0  \n",
      "1010541             1              0  \n",
      "1011656             0              0  \n",
      "1012771             0              1  \n",
      "1013886             0              1  \n",
      "1015001             0              1  \n",
      "1016116             1              1  \n",
      "\n",
      "[758 rows x 9 columns]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/david/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:1: DeprecationWarning: \n",
      ".ix is deprecated. Please use\n",
      ".loc for label based indexing or\n",
      ".iloc for positional indexing\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "print(train.ix[train['Store'] == 22])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                        int64\n",
       "Store                     int64\n",
       "DayOfWeek                 int64\n",
       "Date             datetime64[ns]\n",
       "Open                    float64\n",
       "Promo                     int64\n",
       "StateHoliday             object\n",
       "SchoolHoliday             int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['0', 'a'], dtype=object)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test['StateHoliday'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1])"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test['SchoolHoliday'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "convert categorical data into state holiday into numerical data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                        int64\n",
       "Store                     int64\n",
       "DayOfWeek                 int64\n",
       "Date             datetime64[ns]\n",
       "Open                    float64\n",
       "Promo                     int64\n",
       "StateHoliday             object\n",
       "SchoolHoliday             int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>20</td>\n",
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       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>33</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>35</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>36</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>38</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>39</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>40</td>\n",
       "      <td>4</td>\n",
       "      <td>2015-09-17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41058</th>\n",
       "      <td>41059</td>\n",
       "      <td>1077</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41059</th>\n",
       "      <td>41060</td>\n",
       "      <td>1078</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41060</th>\n",
       "      <td>41061</td>\n",
       "      <td>1079</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41061</th>\n",
       "      <td>41062</td>\n",
       "      <td>1080</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41062</th>\n",
       "      <td>41063</td>\n",
       "      <td>1083</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41063</th>\n",
       "      <td>41064</td>\n",
       "      <td>1084</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41064</th>\n",
       "      <td>41065</td>\n",
       "      <td>1086</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41065</th>\n",
       "      <td>41066</td>\n",
       "      <td>1087</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41066</th>\n",
       "      <td>41067</td>\n",
       "      <td>1088</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41067</th>\n",
       "      <td>41068</td>\n",
       "      <td>1089</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41068</th>\n",
       "      <td>41069</td>\n",
       "      <td>1091</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41069</th>\n",
       "      <td>41070</td>\n",
       "      <td>1092</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41070</th>\n",
       "      <td>41071</td>\n",
       "      <td>1094</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41071</th>\n",
       "      <td>41072</td>\n",
       "      <td>1096</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41072</th>\n",
       "      <td>41073</td>\n",
       "      <td>1097</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41073</th>\n",
       "      <td>41074</td>\n",
       "      <td>1099</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41074</th>\n",
       "      <td>41075</td>\n",
       "      <td>1100</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41075</th>\n",
       "      <td>41076</td>\n",
       "      <td>1101</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41076</th>\n",
       "      <td>41077</td>\n",
       "      <td>1102</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41077</th>\n",
       "      <td>41078</td>\n",
       "      <td>1103</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41078</th>\n",
       "      <td>41079</td>\n",
       "      <td>1104</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41079</th>\n",
       "      <td>41080</td>\n",
       "      <td>1105</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41080</th>\n",
       "      <td>41081</td>\n",
       "      <td>1106</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41081</th>\n",
       "      <td>41082</td>\n",
       "      <td>1107</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41082</th>\n",
       "      <td>41083</td>\n",
       "      <td>1109</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41083</th>\n",
       "      <td>41084</td>\n",
       "      <td>1111</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41084</th>\n",
       "      <td>41085</td>\n",
       "      <td>1112</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41085</th>\n",
       "      <td>41086</td>\n",
       "      <td>1113</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41086</th>\n",
       "      <td>41087</td>\n",
       "      <td>1114</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41087</th>\n",
       "      <td>41088</td>\n",
       "      <td>1115</td>\n",
       "      <td>6</td>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>41088 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Id  Store  DayOfWeek       Date  Open  Promo StateHoliday  \\\n",
       "0          1      1          4 2015-09-17   1.0      1            0   \n",
       "1          2      3          4 2015-09-17   1.0      1            0   \n",
       "2          3      7          4 2015-09-17   1.0      1            0   \n",
       "3          4      8          4 2015-09-17   1.0      1            0   \n",
       "4          5      9          4 2015-09-17   1.0      1            0   \n",
       "5          6     10          4 2015-09-17   1.0      1            0   \n",
       "6          7     11          4 2015-09-17   1.0      1            0   \n",
       "7          8     12          4 2015-09-17   1.0      1            0   \n",
       "8          9     13          4 2015-09-17   1.0      1            0   \n",
       "9         10     14          4 2015-09-17   1.0      1            0   \n",
       "10        11     15          4 2015-09-17   1.0      1            0   \n",
       "11        12     16          4 2015-09-17   1.0      1            0   \n",
       "12        13     19          4 2015-09-17   1.0      1            0   \n",
       "13        14     20          4 2015-09-17   1.0      1            0   \n",
       "14        15     21          4 2015-09-17   1.0      1            0   \n",
       "15        16     22          4 2015-09-17   1.0      1            0   \n",
       "16        17     23          4 2015-09-17   1.0      1            0   \n",
       "17        18     24          4 2015-09-17   1.0      1            0   \n",
       "18        19     25          4 2015-09-17   1.0      1            0   \n",
       "19        20     27          4 2015-09-17   1.0      1            0   \n",
       "20        21     29          4 2015-09-17   1.0      1            0   \n",
       "21        22     30          4 2015-09-17   1.0      1            0   \n",
       "22        23     31          4 2015-09-17   1.0      1            0   \n",
       "23        24     32          4 2015-09-17   1.0      1            0   \n",
       "24        25     33          4 2015-09-17   1.0      1            0   \n",
       "25        26     35          4 2015-09-17   1.0      1            0   \n",
       "26        27     36          4 2015-09-17   1.0      1            0   \n",
       "27        28     38          4 2015-09-17   1.0      1            0   \n",
       "28        29     39          4 2015-09-17   1.0      1            0   \n",
       "29        30     40          4 2015-09-17   1.0      1            0   \n",
       "...      ...    ...        ...        ...   ...    ...          ...   \n",
       "41058  41059   1077          6 2015-08-01   1.0      0            0   \n",
       "41059  41060   1078          6 2015-08-01   1.0      0            0   \n",
       "41060  41061   1079          6 2015-08-01   1.0      0            0   \n",
       "41061  41062   1080          6 2015-08-01   1.0      0            0   \n",
       "41062  41063   1083          6 2015-08-01   1.0      0            0   \n",
       "41063  41064   1084          6 2015-08-01   1.0      0            0   \n",
       "41064  41065   1086          6 2015-08-01   1.0      0            0   \n",
       "41065  41066   1087          6 2015-08-01   1.0      0            0   \n",
       "41066  41067   1088          6 2015-08-01   1.0      0            0   \n",
       "41067  41068   1089          6 2015-08-01   1.0      0            0   \n",
       "41068  41069   1091          6 2015-08-01   1.0      0            0   \n",
       "41069  41070   1092          6 2015-08-01   1.0      0            0   \n",
       "41070  41071   1094          6 2015-08-01   1.0      0            0   \n",
       "41071  41072   1096          6 2015-08-01   1.0      0            0   \n",
       "41072  41073   1097          6 2015-08-01   1.0      0            0   \n",
       "41073  41074   1099          6 2015-08-01   1.0      0            0   \n",
       "41074  41075   1100          6 2015-08-01   1.0      0            0   \n",
       "41075  41076   1101          6 2015-08-01   1.0      0            0   \n",
       "41076  41077   1102          6 2015-08-01   1.0      0            0   \n",
       "41077  41078   1103          6 2015-08-01   1.0      0            0   \n",
       "41078  41079   1104          6 2015-08-01   1.0      0            0   \n",
       "41079  41080   1105          6 2015-08-01   1.0      0            0   \n",
       "41080  41081   1106          6 2015-08-01   1.0      0            0   \n",
       "41081  41082   1107          6 2015-08-01   1.0      0            0   \n",
       "41082  41083   1109          6 2015-08-01   1.0      0            0   \n",
       "41083  41084   1111          6 2015-08-01   1.0      0            0   \n",
       "41084  41085   1112          6 2015-08-01   1.0      0            0   \n",
       "41085  41086   1113          6 2015-08-01   1.0      0            0   \n",
       "41086  41087   1114          6 2015-08-01   1.0      0            0   \n",
       "41087  41088   1115          6 2015-08-01   1.0      0            0   \n",
       "\n",
       "       SchoolHoliday  \n",
       "0                  0  \n",
       "1                  0  \n",
       "2                  0  \n",
       "3                  0  \n",
       "4                  0  \n",
       "5                  0  \n",
       "6                  0  \n",
       "7                  0  \n",
       "8                  0  \n",
       "9                  0  \n",
       "10                 0  \n",
       "11                 0  \n",
       "12                 0  \n",
       "13                 0  \n",
       "14                 0  \n",
       "15                 0  \n",
       "16                 0  \n",
       "17                 0  \n",
       "18                 0  \n",
       "19                 0  \n",
       "20                 0  \n",
       "21                 0  \n",
       "22                 0  \n",
       "23                 0  \n",
       "24                 0  \n",
       "25                 0  \n",
       "26                 0  \n",
       "27                 0  \n",
       "28                 0  \n",
       "29                 0  \n",
       "...              ...  \n",
       "41058              0  \n",
       "41059              0  \n",
       "41060              1  \n",
       "41061              0  \n",
       "41062              1  \n",
       "41063              1  \n",
       "41064              1  \n",
       "41065              1  \n",
       "41066              0  \n",
       "41067              0  \n",
       "41068              0  \n",
       "41069              0  \n",
       "41070              0  \n",
       "41071              0  \n",
       "41072              0  \n",
       "41073              0  \n",
       "41074              0  \n",
       "41075              0  \n",
       "41076              0  \n",
       "41077              1  \n",
       "41078              0  \n",
       "41079              0  \n",
       "41080              0  \n",
       "41081              0  \n",
       "41082              0  \n",
       "41083              0  \n",
       "41084              0  \n",
       "41085              0  \n",
       "41086              0  \n",
       "41087              1  \n",
       "\n",
       "[41088 rows x 8 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
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       "      <td>1082</td>\n",
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       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
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       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
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       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>13213</td>\n",
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       "      <td>1</td>\n",
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       "      <td>2015-07-31</td>\n",
       "      <td>7301</td>\n",
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       "      <td>2015-07-31</td>\n",
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       "      <td>1089</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1017183</th>\n",
       "      <td>1090</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1017184</th>\n",
       "      <td>1091</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1017185</th>\n",
       "      <td>1092</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1017186</th>\n",
       "      <td>1093</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1017187</th>\n",
       "      <td>1094</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1017188</th>\n",
       "      <td>1095</td>\n",
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       "      <td>2013-01-01</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1017189</th>\n",
       "      <td>1096</td>\n",
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       "      <td>2013-01-01</td>\n",
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       "      <td>0</td>\n",
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       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017193</th>\n",
       "      <td>1100</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017194</th>\n",
       "      <td>1101</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017195</th>\n",
       "      <td>1102</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017196</th>\n",
       "      <td>1103</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017197</th>\n",
       "      <td>1104</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017198</th>\n",
       "      <td>1105</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017199</th>\n",
       "      <td>1106</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017200</th>\n",
       "      <td>1107</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017201</th>\n",
       "      <td>1108</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017202</th>\n",
       "      <td>1109</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017203</th>\n",
       "      <td>1110</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017204</th>\n",
       "      <td>1111</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017205</th>\n",
       "      <td>1112</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017206</th>\n",
       "      <td>1113</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017207</th>\n",
       "      <td>1114</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017208</th>\n",
       "      <td>1115</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1017209 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Store  DayOfWeek       Date  Sales  Customers  Open  Promo  \\\n",
       "0            1          5 2015-07-31   5263        555     1      1   \n",
       "1            2          5 2015-07-31   6064        625     1      1   \n",
       "2            3          5 2015-07-31   8314        821     1      1   \n",
       "3            4          5 2015-07-31  13995       1498     1      1   \n",
       "4            5          5 2015-07-31   4822        559     1      1   \n",
       "5            6          5 2015-07-31   5651        589     1      1   \n",
       "6            7          5 2015-07-31  15344       1414     1      1   \n",
       "7            8          5 2015-07-31   8492        833     1      1   \n",
       "8            9          5 2015-07-31   8565        687     1      1   \n",
       "9           10          5 2015-07-31   7185        681     1      1   \n",
       "10          11          5 2015-07-31  10457       1236     1      1   \n",
       "11          12          5 2015-07-31   8959        962     1      1   \n",
       "12          13          5 2015-07-31   8821        568     1      1   \n",
       "13          14          5 2015-07-31   6544        710     1      1   \n",
       "14          15          5 2015-07-31   9191        766     1      1   \n",
       "15          16          5 2015-07-31  10231        979     1      1   \n",
       "16          17          5 2015-07-31   8430        946     1      1   \n",
       "17          18          5 2015-07-31  10071        936     1      1   \n",
       "18          19          5 2015-07-31   8234        718     1      1   \n",
       "19          20          5 2015-07-31   9593        974     1      1   \n",
       "20          21          5 2015-07-31   9515        682     1      1   \n",
       "21          22          5 2015-07-31   6566        633     1      1   \n",
       "22          23          5 2015-07-31   7273        560     1      1   \n",
       "23          24          5 2015-07-31  14190       1082     1      1   \n",
       "24          25          5 2015-07-31  14180       1586     1      1   \n",
       "25          26          5 2015-07-31   7818        611     1      1   \n",
       "26          27          5 2015-07-31  13213       1263     1      1   \n",
       "27          28          5 2015-07-31   7301        663     1      1   \n",
       "28          29          5 2015-07-31   9411        737     1      1   \n",
       "29          30          5 2015-07-31   4776        625     1      1   \n",
       "...        ...        ...        ...    ...        ...   ...    ...   \n",
       "1017179   1086          2 2013-01-01      0          0     0      0   \n",
       "1017180   1087          2 2013-01-01      0          0     0      0   \n",
       "1017181   1088          2 2013-01-01      0          0     0      0   \n",
       "1017182   1089          2 2013-01-01      0          0     0      0   \n",
       "1017183   1090          2 2013-01-01      0          0     0      0   \n",
       "1017184   1091          2 2013-01-01      0          0     0      0   \n",
       "1017185   1092          2 2013-01-01      0          0     0      0   \n",
       "1017186   1093          2 2013-01-01      0          0     0      0   \n",
       "1017187   1094          2 2013-01-01      0          0     0      0   \n",
       "1017188   1095          2 2013-01-01      0          0     0      0   \n",
       "1017189   1096          2 2013-01-01      0          0     0      0   \n",
       "1017190   1097          2 2013-01-01   5961       1405     1      0   \n",
       "1017191   1098          2 2013-01-01      0          0     0      0   \n",
       "1017192   1099          2 2013-01-01      0          0     0      0   \n",
       "1017193   1100          2 2013-01-01      0          0     0      0   \n",
       "1017194   1101          2 2013-01-01      0          0     0      0   \n",
       "1017195   1102          2 2013-01-01      0          0     0      0   \n",
       "1017196   1103          2 2013-01-01      0          0     0      0   \n",
       "1017197   1104          2 2013-01-01      0          0     0      0   \n",
       "1017198   1105          2 2013-01-01      0          0     0      0   \n",
       "1017199   1106          2 2013-01-01      0          0     0      0   \n",
       "1017200   1107          2 2013-01-01      0          0     0      0   \n",
       "1017201   1108          2 2013-01-01      0          0     0      0   \n",
       "1017202   1109          2 2013-01-01      0          0     0      0   \n",
       "1017203   1110          2 2013-01-01      0          0     0      0   \n",
       "1017204   1111          2 2013-01-01      0          0     0      0   \n",
       "1017205   1112          2 2013-01-01      0          0     0      0   \n",
       "1017206   1113          2 2013-01-01      0          0     0      0   \n",
       "1017207   1114          2 2013-01-01      0          0     0      0   \n",
       "1017208   1115          2 2013-01-01      0          0     0      0   \n",
       "\n",
       "         StateHoliday  SchoolHoliday  \n",
       "0                   0              1  \n",
       "1                   0              1  \n",
       "2                   0              1  \n",
       "3                   0              1  \n",
       "4                   0              1  \n",
       "5                   0              1  \n",
       "6                   0              1  \n",
       "7                   0              1  \n",
       "8                   0              1  \n",
       "9                   0              1  \n",
       "10                  0              1  \n",
       "11                  0              1  \n",
       "12                  0              0  \n",
       "13                  0              1  \n",
       "14                  0              1  \n",
       "15                  0              1  \n",
       "16                  0              1  \n",
       "17                  0              1  \n",
       "18                  0              1  \n",
       "19                  0              0  \n",
       "20                  0              1  \n",
       "21                  0              0  \n",
       "22                  0              1  \n",
       "23                  0              1  \n",
       "24                  0              1  \n",
       "25                  0              1  \n",
       "26                  0              1  \n",
       "27                  0              1  \n",
       "28                  0              1  \n",
       "29                  0              1  \n",
       "...               ...            ...  \n",
       "1017179             1              1  \n",
       "1017180             1              1  \n",
       "1017181             1              1  \n",
       "1017182             1              1  \n",
       "1017183             1              1  \n",
       "1017184             1              1  \n",
       "1017185             1              1  \n",
       "1017186             1              1  \n",
       "1017187             1              1  \n",
       "1017188             1              1  \n",
       "1017189             1              1  \n",
       "1017190             1              1  \n",
       "1017191             1              1  \n",
       "1017192             1              1  \n",
       "1017193             1              1  \n",
       "1017194             1              1  \n",
       "1017195             1              1  \n",
       "1017196             1              1  \n",
       "1017197             1              1  \n",
       "1017198             1              1  \n",
       "1017199             1              1  \n",
       "1017200             1              1  \n",
       "1017201             1              1  \n",
       "1017202             1              1  \n",
       "1017203             1              1  \n",
       "1017204             1              1  \n",
       "1017205             1              1  \n",
       "1017206             1              1  \n",
       "1017207             1              1  \n",
       "1017208             1              1  \n",
       "\n",
       "[1017209 rows x 9 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Store Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1115, 10)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>14130.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>620.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>29910.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "2      3         a          a              14130.0                       12.0   \n",
       "3      4         c          c                620.0                        9.0   \n",
       "4      5         a          a              29910.0                        4.0   \n",
       "\n",
       "   CompetitionOpenSinceYear  Promo2  Promo2SinceWeek  Promo2SinceYear  \\\n",
       "0                    2008.0       0              NaN              NaN   \n",
       "1                    2007.0       1             13.0           2010.0   \n",
       "2                    2006.0       1             14.0           2011.0   \n",
       "3                    2009.0       0              NaN              NaN   \n",
       "4                    2015.0       0              NaN              NaN   \n",
       "\n",
       "     PromoInterval  \n",
       "0              NaN  \n",
       "1  Jan,Apr,Jul,Oct  \n",
       "2  Jan,Apr,Jul,Oct  \n",
       "3              NaN  \n",
       "4              NaN  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
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       "      <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>1110</th>\n",
       "      <td>1111</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1111</th>\n",
       "      <td>1112</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>1880.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1112</th>\n",
       "      <td>1113</td>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>9260.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1113</th>\n",
       "      <td>1114</td>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>870.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1114</th>\n",
       "      <td>1115</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>5350.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Mar,Jun,Sept,Dec</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Store StoreType Assortment  CompetitionDistance  \\\n",
       "1110   1111         a          a               1900.0   \n",
       "1111   1112         c          c               1880.0   \n",
       "1112   1113         a          c               9260.0   \n",
       "1113   1114         a          c                870.0   \n",
       "1114   1115         d          c               5350.0   \n",
       "\n",
       "      CompetitionOpenSinceMonth  CompetitionOpenSinceYear  Promo2  \\\n",
       "1110                        6.0                    2014.0       1   \n",
       "1111                        4.0                    2006.0       0   \n",
       "1112                        NaN                       NaN       0   \n",
       "1113                        NaN                       NaN       0   \n",
       "1114                        NaN                       NaN       1   \n",
       "\n",
       "      Promo2SinceWeek  Promo2SinceYear     PromoInterval  \n",
       "1110             31.0           2013.0   Jan,Apr,Jul,Oct  \n",
       "1111              NaN              NaN               NaN  \n",
       "1112              NaN              NaN               NaN  \n",
       "1113              NaN              NaN               NaN  \n",
       "1114             22.0           2012.0  Mar,Jun,Sept,Dec  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change the categorical values (string type) of StoreType and Assortment columns to integers. Check the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "store.loc[store['StoreType'] == 'a', 'StoreType'] = 1\n",
    "store.loc[store['StoreType'] == 'b', 'StoreType'] = 2\n",
    "store.loc[store['StoreType'] == 'c', 'StoreType'] = 3\n",
    "store.loc[store['StoreType'] == 'd', 'StoreType'] = 4\n",
    "store['StoreType'] = store['StoreType'].astype(int, copy=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "levels : [3 1 4 2] ; data type : int64\n"
     ]
    }
   ],
   "source": [
    "print('levels :', store['StoreType'].unique(), '; data type :', store['StoreType'].dtype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "store.loc[store['Assortment'] == 'a', 'Assortment'] = 1\n",
    "store.loc[store['Assortment'] == 'b', 'Assortment'] = 2\n",
    "store.loc[store['Assortment'] == 'c', 'Assortment'] = 3\n",
    "store['Assortment'] = store['Assortment'].astype(int, copy=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "levels : [1 3 2] ; data type : int64\n"
     ]
    }
   ],
   "source": [
    "print('levels :', store['Assortment'].unique(), '; data type :', store['Assortment'].dtype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([nan, 'Jan,Apr,Jul,Oct', 'Feb,May,Aug,Nov', 'Mar,Jun,Sept,Dec'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store['PromoInterval'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Store                          int64\n",
       "StoreType                      int64\n",
       "Assortment                     int64\n",
       "CompetitionDistance          float64\n",
       "CompetitionOpenSinceMonth    float64\n",
       "CompetitionOpenSinceYear     float64\n",
       "Promo2                         int64\n",
       "Promo2SinceWeek              float64\n",
       "Promo2SinceYear              float64\n",
       "PromoInterval                 object\n",
       "dtype: object"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PromoInterval - describes the consecutive intervals Promo2 is started, naming the months the promotion is started anew. E.g. \"Feb,May,Aug,Nov\" means each round starts in February, May, August, November of any given year for that store"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1270.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>14130.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>620.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>29910.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>310.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7520.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2030.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3160.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>960.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1070.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>310.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Feb,May,Aug,Nov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4110.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3270.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>50.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>1</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>13840.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3240.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Mar,Jun,Sept,Dec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2340.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>550.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>1</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1040.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4060.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4590.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>430.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>Mar,Jun,Sept,Dec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2170.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Mar,Jun,Sept,Dec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1085</th>\n",
       "      <td>1086</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>180.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>1</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Feb,May,Aug,Nov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1086</th>\n",
       "      <td>1087</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2210.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1087</th>\n",
       "      <td>1088</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4300.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>1</td>\n",
       "      <td>27.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1088</th>\n",
       "      <td>1089</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>5220.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1089</th>\n",
       "      <td>1090</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>330.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1090</th>\n",
       "      <td>1091</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>9990.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1091</th>\n",
       "      <td>1092</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>300.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1092</th>\n",
       "      <td>1093</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>10450.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1093</th>\n",
       "      <td>1094</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2380.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1094</th>\n",
       "      <td>1095</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>690.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1095</th>\n",
       "      <td>1096</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1130.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Mar,Jun,Sept,Dec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1096</th>\n",
       "      <td>1097</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>720.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1097</th>\n",
       "      <td>1098</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1830.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1098</th>\n",
       "      <td>1099</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>200.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1099</th>\n",
       "      <td>1100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>540.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1100</th>\n",
       "      <td>1101</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4060.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1101</th>\n",
       "      <td>1102</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>850.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1102</th>\n",
       "      <td>1103</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1340.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Feb,May,Aug,Nov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1103</th>\n",
       "      <td>1104</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>260.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1104</th>\n",
       "      <td>1105</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>330.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Feb,May,Aug,Nov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1105</th>\n",
       "      <td>1106</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5330.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1106</th>\n",
       "      <td>1107</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2012.0</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",
       "    <tr>\n",
       "      <th>1107</th>\n",
       "      <td>1108</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>540.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1108</th>\n",
       "      <td>1109</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3490.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1109</th>\n",
       "      <td>1110</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>900.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1110</th>\n",
       "      <td>1111</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1111</th>\n",
       "      <td>1112</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1880.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1112</th>\n",
       "      <td>1113</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>9260.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1113</th>\n",
       "      <td>1114</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>870.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1114</th>\n",
       "      <td>1115</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>5350.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Mar,Jun,Sept,Dec</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1115 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Store  StoreType  Assortment  CompetitionDistance  \\\n",
       "0         1          3           1               1270.0   \n",
       "1         2          1           1                570.0   \n",
       "2         3          1           1              14130.0   \n",
       "3         4          3           3                620.0   \n",
       "4         5          1           1              29910.0   \n",
       "5         6          1           1                310.0   \n",
       "6         7          1           3              24000.0   \n",
       "7         8          1           1               7520.0   \n",
       "8         9          1           3               2030.0   \n",
       "9        10          1           1               3160.0   \n",
       "10       11          1           3                960.0   \n",
       "11       12          1           3               1070.0   \n",
       "12       13          4           1                310.0   \n",
       "13       14          1           1               1300.0   \n",
       "14       15          4           3               4110.0   \n",
       "15       16          1           3               3270.0   \n",
       "16       17          1           1                 50.0   \n",
       "17       18          4           3              13840.0   \n",
       "18       19          1           3               3240.0   \n",
       "19       20          4           1               2340.0   \n",
       "20       21          3           3                550.0   \n",
       "21       22          1           1               1040.0   \n",
       "22       23          4           1               4060.0   \n",
       "23       24          1           3               4590.0   \n",
       "24       25          3           1                430.0   \n",
       "25       26          4           1               2300.0   \n",
       "26       27          1           1                 60.0   \n",
       "27       28          1           1               1200.0   \n",
       "28       29          4           3               2170.0   \n",
       "29       30          1           1                 40.0   \n",
       "...     ...        ...         ...                  ...   \n",
       "1085   1086          1           1                180.0   \n",
       "1086   1087          4           3               2210.0   \n",
       "1087   1088          1           1               4300.0   \n",
       "1088   1089          4           1               5220.0   \n",
       "1089   1090          1           1                330.0   \n",
       "1090   1091          1           3               9990.0   \n",
       "1091   1092          1           1                300.0   \n",
       "1092   1093          3           3              10450.0   \n",
       "1093   1094          4           1               2380.0   \n",
       "1094   1095          1           1                690.0   \n",
       "1095   1096          1           3               1130.0   \n",
       "1096   1097          2           2                720.0   \n",
       "1097   1098          1           1               1830.0   \n",
       "1098   1099          1           3                200.0   \n",
       "1099   1100          1           1                540.0   \n",
       "1100   1101          4           3               4060.0   \n",
       "1101   1102          1           1                850.0   \n",
       "1102   1103          4           3               1340.0   \n",
       "1103   1104          4           1                260.0   \n",
       "1104   1105          3           3                330.0   \n",
       "1105   1106          1           3               5330.0   \n",
       "1106   1107          1           1               1400.0   \n",
       "1107   1108          1           1                540.0   \n",
       "1108   1109          3           1               3490.0   \n",
       "1109   1110          3           3                900.0   \n",
       "1110   1111          1           1               1900.0   \n",
       "1111   1112          3           3               1880.0   \n",
       "1112   1113          1           3               9260.0   \n",
       "1113   1114          1           3                870.0   \n",
       "1114   1115          4           3               5350.0   \n",
       "\n",
       "      CompetitionOpenSinceMonth  CompetitionOpenSinceYear  Promo2  \\\n",
       "0                           9.0                    2008.0       0   \n",
       "1                          11.0                    2007.0       1   \n",
       "2                          12.0                    2006.0       1   \n",
       "3                           9.0                    2009.0       0   \n",
       "4                           4.0                    2015.0       0   \n",
       "5                          12.0                    2013.0       0   \n",
       "6                           4.0                    2013.0       0   \n",
       "7                          10.0                    2014.0       0   \n",
       "8                           8.0                    2000.0       0   \n",
       "9                           9.0                    2009.0       0   \n",
       "10                         11.0                    2011.0       1   \n",
       "11                          0.0                       0.0       1   \n",
       "12                          0.0                       0.0       1   \n",
       "13                          3.0                    2014.0       1   \n",
       "14                          3.0                    2010.0       1   \n",
       "15                          0.0                       0.0       0   \n",
       "16                         12.0                    2005.0       1   \n",
       "17                          6.0                    2010.0       1   \n",
       "18                          0.0                       0.0       1   \n",
       "19                          5.0                    2009.0       1   \n",
       "20                         10.0                    1999.0       1   \n",
       "21                          0.0                       0.0       1   \n",
       "22                          8.0                    2005.0       0   \n",
       "23                          3.0                    2000.0       1   \n",
       "24                          4.0                    2003.0       0   \n",
       "25                          0.0                       0.0       0   \n",
       "26                          1.0                    2005.0       1   \n",
       "27                         10.0                    2014.0       1   \n",
       "28                          0.0                       0.0       0   \n",
       "29                          2.0                    2014.0       1   \n",
       "...                         ...                       ...     ...   \n",
       "1085                       11.0                    2013.0       1   \n",
       "1086                       11.0                    2011.0       0   \n",
       "1087                        3.0                    2009.0       1   \n",
       "1088                        5.0                    2009.0       0   \n",
       "1089                        0.0                       0.0       1   \n",
       "1090                        0.0                       0.0       0   \n",
       "1091                        7.0                    2000.0       1   \n",
       "1092                        6.0                    2009.0       0   \n",
       "1093                        3.0                    2013.0       1   \n",
       "1094                        6.0                    2007.0       1   \n",
       "1095                        0.0                       0.0       1   \n",
       "1096                        3.0                    2002.0       0   \n",
       "1097                       11.0                    2004.0       0   \n",
       "1098                        4.0                    2013.0       1   \n",
       "1099                        0.0                       0.0       1   \n",
       "1100                        9.0                    2012.0       0   \n",
       "1101                       11.0                    2012.0       1   \n",
       "1102                       10.0                    2006.0       1   \n",
       "1103                        2.0                    2012.0       1   \n",
       "1104                       11.0                    2008.0       1   \n",
       "1105                        9.0                    2011.0       1   \n",
       "1106                        6.0                    2012.0       1   \n",
       "1107                        4.0                    2004.0       0   \n",
       "1108                        4.0                    2011.0       1   \n",
       "1109                        9.0                    2010.0       0   \n",
       "1110                        6.0                    2014.0       1   \n",
       "1111                        4.0                    2006.0       0   \n",
       "1112                        0.0                       0.0       0   \n",
       "1113                        0.0                       0.0       0   \n",
       "1114                        0.0                       0.0       1   \n",
       "\n",
       "      Promo2SinceWeek  Promo2SinceYear     PromoInterval  \n",
       "0                 0.0              0.0                 0  \n",
       "1                13.0           2010.0   Jan,Apr,Jul,Oct  \n",
       "2                14.0           2011.0   Jan,Apr,Jul,Oct  \n",
       "3                 0.0              0.0                 0  \n",
       "4                 0.0              0.0                 0  \n",
       "5                 0.0              0.0                 0  \n",
       "6                 0.0              0.0                 0  \n",
       "7                 0.0              0.0                 0  \n",
       "8                 0.0              0.0                 0  \n",
       "9                 0.0              0.0                 0  \n",
       "10                1.0           2012.0   Jan,Apr,Jul,Oct  \n",
       "11               13.0           2010.0   Jan,Apr,Jul,Oct  \n",
       "12               45.0           2009.0   Feb,May,Aug,Nov  \n",
       "13               40.0           2011.0   Jan,Apr,Jul,Oct  \n",
       "14               14.0           2011.0   Jan,Apr,Jul,Oct  \n",
       "15                0.0              0.0                 0  \n",
       "16               26.0           2010.0   Jan,Apr,Jul,Oct  \n",
       "17               14.0           2012.0   Jan,Apr,Jul,Oct  \n",
       "18               22.0           2011.0  Mar,Jun,Sept,Dec  \n",
       "19               40.0           2014.0   Jan,Apr,Jul,Oct  \n",
       "20               45.0           2009.0   Jan,Apr,Jul,Oct  \n",
       "21               22.0           2012.0   Jan,Apr,Jul,Oct  \n",
       "22                0.0              0.0                 0  \n",
       "23               40.0           2011.0   Jan,Apr,Jul,Oct  \n",
       "24                0.0              0.0                 0  \n",
       "25                0.0              0.0                 0  \n",
       "26                5.0           2011.0   Jan,Apr,Jul,Oct  \n",
       "27                6.0           2015.0  Mar,Jun,Sept,Dec  \n",
       "28                0.0              0.0                 0  \n",
       "29               10.0           2014.0  Mar,Jun,Sept,Dec  \n",
       "...               ...              ...               ...  \n",
       "1085             18.0           2011.0   Feb,May,Aug,Nov  \n",
       "1086              0.0              0.0                 0  \n",
       "1087             27.0           2013.0   Jan,Apr,Jul,Oct  \n",
       "1088              0.0              0.0                 0  \n",
       "1089             14.0           2011.0   Jan,Apr,Jul,Oct  \n",
       "1090              0.0              0.0                 0  \n",
       "1091             40.0           2014.0   Jan,Apr,Jul,Oct  \n",
       "1092              0.0              0.0                 0  \n",
       "1093             40.0           2014.0   Jan,Apr,Jul,Oct  \n",
       "1094             14.0           2011.0   Jan,Apr,Jul,Oct  \n",
       "1095             10.0           2014.0  Mar,Jun,Sept,Dec  \n",
       "1096              0.0              0.0                 0  \n",
       "1097              0.0              0.0                 0  \n",
       "1098             14.0           2013.0   Jan,Apr,Jul,Oct  \n",
       "1099             14.0           2011.0   Jan,Apr,Jul,Oct  \n",
       "1100              0.0              0.0                 0  \n",
       "1101             40.0           2014.0   Jan,Apr,Jul,Oct  \n",
       "1102              5.0           2013.0   Feb,May,Aug,Nov  \n",
       "1103             14.0           2011.0   Jan,Apr,Jul,Oct  \n",
       "1104              5.0           2013.0   Feb,May,Aug,Nov  \n",
       "1105             31.0           2013.0   Jan,Apr,Jul,Oct  \n",
       "1106             13.0           2010.0   Jan,Apr,Jul,Oct  \n",
       "1107              0.0              0.0                 0  \n",
       "1108             22.0           2012.0   Jan,Apr,Jul,Oct  \n",
       "1109              0.0              0.0                 0  \n",
       "1110             31.0           2013.0   Jan,Apr,Jul,Oct  \n",
       "1111              0.0              0.0                 0  \n",
       "1112              0.0              0.0                 0  \n",
       "1113              0.0              0.0                 0  \n",
       "1114             22.0           2012.0  Mar,Jun,Sept,Dec  \n",
       "\n",
       "[1115 rows x 10 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store = store.fillna(0)\n",
    "store"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "store.loc[store['PromoInterval'] == 'Jan,Apr,Jul,Oct', 'PromoInterval'] = 1\n",
    "store.loc[store['PromoInterval'] == 'Feb,May,Aug,Nov', 'PromoInterval'] = 2\n",
    "store.loc[store['PromoInterval'] == 'Mar,Jun,Sept,Dec', 'PromoInterval'] = 3\n",
    "store['PromoInterval'] = store['PromoInterval'].astype(int, copy=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "dtype = {'Store':'uint32','Sales':'uint32','DayOfWeek':'uint32','Customers':'uint32','Open':'uint32','Promo':'uint32'\n",
    "        ,'StateHoliday':'uint32','SchoolHoliday':'uint32','StoreType':'uint32','Assortment':'uint32',\n",
    "       'CompetitionDistance':'float32', 'CompetitionOpenSinceMonth':'float32','CompetitionOpenSinceYear':'float32',\n",
    "       'Promo2':'uint32','Promo2SinceWeek':'float32','PromoInterval':'uint32'}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Merge train and store datasets before modeling the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_store = pd.merge(train, store, how = 'left', on='Store')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
       "      <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>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",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1270.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</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",
       "      <td>1</td>\n",
       "      <td>1</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",
       "    <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",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>14130.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>13995</td>\n",
       "      <td>1498</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>620.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>4822</td>\n",
       "      <td>559</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>29910.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>5651</td>\n",
       "      <td>589</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>310.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>15344</td>\n",
       "      <td>1414</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>8492</td>\n",
       "      <td>833</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7520.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>8565</td>\n",
       "      <td>687</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2030.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>7185</td>\n",
       "      <td>681</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3160.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>10457</td>\n",
       "      <td>1236</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>960.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>8959</td>\n",
       "      <td>962</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1070.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>8821</td>\n",
       "      <td>568</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>310.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Feb,May,Aug,Nov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>6544</td>\n",
       "      <td>710</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>9191</td>\n",
       "      <td>766</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4110.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>10231</td>\n",
       "      <td>979</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3270.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>8430</td>\n",
       "      <td>946</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>50.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>1</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>10071</td>\n",
       "      <td>936</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>13840.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>8234</td>\n",
       "      <td>718</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3240.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Mar,Jun,Sept,Dec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>9593</td>\n",
       "      <td>974</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2340.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>9515</td>\n",
       "      <td>682</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>550.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1999.0</td>\n",
       "      <td>1</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>6566</td>\n",
       "      <td>633</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1040.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>7273</td>\n",
       "      <td>560</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4060.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>14190</td>\n",
       "      <td>1082</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4590.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>14180</td>\n",
       "      <td>1586</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>430.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>7818</td>\n",
       "      <td>611</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>13213</td>\n",
       "      <td>1263</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>7301</td>\n",
       "      <td>663</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>Mar,Jun,Sept,Dec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>9411</td>\n",
       "      <td>737</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2170.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>4776</td>\n",
       "      <td>625</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Mar,Jun,Sept,Dec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017179</th>\n",
       "      <td>1086</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>180.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>1</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Feb,May,Aug,Nov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017180</th>\n",
       "      <td>1087</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2210.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017181</th>\n",
       "      <td>1088</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4300.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>1</td>\n",
       "      <td>27.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017182</th>\n",
       "      <td>1089</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>5220.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017183</th>\n",
       "      <td>1090</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>330.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017184</th>\n",
       "      <td>1091</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>9990.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017185</th>\n",
       "      <td>1092</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>300.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017186</th>\n",
       "      <td>1093</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>10450.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017187</th>\n",
       "      <td>1094</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2380.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017188</th>\n",
       "      <td>1095</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>690.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017189</th>\n",
       "      <td>1096</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1130.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Mar,Jun,Sept,Dec</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017190</th>\n",
       "      <td>1097</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>5961</td>\n",
       "      <td>1405</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>720.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017191</th>\n",
       "      <td>1098</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1830.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017192</th>\n",
       "      <td>1099</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>200.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017193</th>\n",
       "      <td>1100</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>540.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017194</th>\n",
       "      <td>1101</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4060.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017195</th>\n",
       "      <td>1102</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>850.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>1</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017196</th>\n",
       "      <td>1103</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>1340.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Feb,May,Aug,Nov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017197</th>\n",
       "      <td>1104</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>260.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017198</th>\n",
       "      <td>1105</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>330.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Feb,May,Aug,Nov</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017199</th>\n",
       "      <td>1106</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5330.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017200</th>\n",
       "      <td>1107</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2012.0</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",
       "    <tr>\n",
       "      <th>1017201</th>\n",
       "      <td>1108</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>540.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017202</th>\n",
       "      <td>1109</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3490.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017203</th>\n",
       "      <td>1110</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>900.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017204</th>\n",
       "      <td>1111</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2014.0</td>\n",
       "      <td>1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017205</th>\n",
       "      <td>1112</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1880.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017206</th>\n",
       "      <td>1113</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>9260.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017207</th>\n",
       "      <td>1114</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>870.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017208</th>\n",
       "      <td>1115</td>\n",
       "      <td>2</td>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>5350.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Mar,Jun,Sept,Dec</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1017209 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Store  DayOfWeek       Date  Sales  Customers  Open  Promo  \\\n",
       "0            1          5 2015-07-31   5263        555     1      1   \n",
       "1            2          5 2015-07-31   6064        625     1      1   \n",
       "2            3          5 2015-07-31   8314        821     1      1   \n",
       "3            4          5 2015-07-31  13995       1498     1      1   \n",
       "4            5          5 2015-07-31   4822        559     1      1   \n",
       "5            6          5 2015-07-31   5651        589     1      1   \n",
       "6            7          5 2015-07-31  15344       1414     1      1   \n",
       "7            8          5 2015-07-31   8492        833     1      1   \n",
       "8            9          5 2015-07-31   8565        687     1      1   \n",
       "9           10          5 2015-07-31   7185        681     1      1   \n",
       "10          11          5 2015-07-31  10457       1236     1      1   \n",
       "11          12          5 2015-07-31   8959        962     1      1   \n",
       "12          13          5 2015-07-31   8821        568     1      1   \n",
       "13          14          5 2015-07-31   6544        710     1      1   \n",
       "14          15          5 2015-07-31   9191        766     1      1   \n",
       "15          16          5 2015-07-31  10231        979     1      1   \n",
       "16          17          5 2015-07-31   8430        946     1      1   \n",
       "17          18          5 2015-07-31  10071        936     1      1   \n",
       "18          19          5 2015-07-31   8234        718     1      1   \n",
       "19          20          5 2015-07-31   9593        974     1      1   \n",
       "20          21          5 2015-07-31   9515        682     1      1   \n",
       "21          22          5 2015-07-31   6566        633     1      1   \n",
       "22          23          5 2015-07-31   7273        560     1      1   \n",
       "23          24          5 2015-07-31  14190       1082     1      1   \n",
       "24          25          5 2015-07-31  14180       1586     1      1   \n",
       "25          26          5 2015-07-31   7818        611     1      1   \n",
       "26          27          5 2015-07-31  13213       1263     1      1   \n",
       "27          28          5 2015-07-31   7301        663     1      1   \n",
       "28          29          5 2015-07-31   9411        737     1      1   \n",
       "29          30          5 2015-07-31   4776        625     1      1   \n",
       "...        ...        ...        ...    ...        ...   ...    ...   \n",
       "1017179   1086          2 2013-01-01      0          0     0      0   \n",
       "1017180   1087          2 2013-01-01      0          0     0      0   \n",
       "1017181   1088          2 2013-01-01      0          0     0      0   \n",
       "1017182   1089          2 2013-01-01      0          0     0      0   \n",
       "1017183   1090          2 2013-01-01      0          0     0      0   \n",
       "1017184   1091          2 2013-01-01      0          0     0      0   \n",
       "1017185   1092          2 2013-01-01      0          0     0      0   \n",
       "1017186   1093          2 2013-01-01      0          0     0      0   \n",
       "1017187   1094          2 2013-01-01      0          0     0      0   \n",
       "1017188   1095          2 2013-01-01      0          0     0      0   \n",
       "1017189   1096          2 2013-01-01      0          0     0      0   \n",
       "1017190   1097          2 2013-01-01   5961       1405     1      0   \n",
       "1017191   1098          2 2013-01-01      0          0     0      0   \n",
       "1017192   1099          2 2013-01-01      0          0     0      0   \n",
       "1017193   1100          2 2013-01-01      0          0     0      0   \n",
       "1017194   1101          2 2013-01-01      0          0     0      0   \n",
       "1017195   1102          2 2013-01-01      0          0     0      0   \n",
       "1017196   1103          2 2013-01-01      0          0     0      0   \n",
       "1017197   1104          2 2013-01-01      0          0     0      0   \n",
       "1017198   1105          2 2013-01-01      0          0     0      0   \n",
       "1017199   1106          2 2013-01-01      0          0     0      0   \n",
       "1017200   1107          2 2013-01-01      0          0     0      0   \n",
       "1017201   1108          2 2013-01-01      0          0     0      0   \n",
       "1017202   1109          2 2013-01-01      0          0     0      0   \n",
       "1017203   1110          2 2013-01-01      0          0     0      0   \n",
       "1017204   1111          2 2013-01-01      0          0     0      0   \n",
       "1017205   1112          2 2013-01-01      0          0     0      0   \n",
       "1017206   1113          2 2013-01-01      0          0     0      0   \n",
       "1017207   1114          2 2013-01-01      0          0     0      0   \n",
       "1017208   1115          2 2013-01-01      0          0     0      0   \n",
       "\n",
       "         StateHoliday  SchoolHoliday  StoreType  Assortment  \\\n",
       "0                   0              1          3           1   \n",
       "1                   0              1          1           1   \n",
       "2                   0              1          1           1   \n",
       "3                   0              1          3           3   \n",
       "4                   0              1          1           1   \n",
       "5                   0              1          1           1   \n",
       "6                   0              1          1           3   \n",
       "7                   0              1          1           1   \n",
       "8                   0              1          1           3   \n",
       "9                   0              1          1           1   \n",
       "10                  0              1          1           3   \n",
       "11                  0              1          1           3   \n",
       "12                  0              0          4           1   \n",
       "13                  0              1          1           1   \n",
       "14                  0              1          4           3   \n",
       "15                  0              1          1           3   \n",
       "16                  0              1          1           1   \n",
       "17                  0              1          4           3   \n",
       "18                  0              1          1           3   \n",
       "19                  0              0          4           1   \n",
       "20                  0              1          3           3   \n",
       "21                  0              0          1           1   \n",
       "22                  0              1          4           1   \n",
       "23                  0              1          1           3   \n",
       "24                  0              1          3           1   \n",
       "25                  0              1          4           1   \n",
       "26                  0              1          1           1   \n",
       "27                  0              1          1           1   \n",
       "28                  0              1          4           3   \n",
       "29                  0              1          1           1   \n",
       "...               ...            ...        ...         ...   \n",
       "1017179             1              1          1           1   \n",
       "1017180             1              1          4           3   \n",
       "1017181             1              1          1           1   \n",
       "1017182             1              1          4           1   \n",
       "1017183             1              1          1           1   \n",
       "1017184             1              1          1           3   \n",
       "1017185             1              1          1           1   \n",
       "1017186             1              1          3           3   \n",
       "1017187             1              1          4           1   \n",
       "1017188             1              1          1           1   \n",
       "1017189             1              1          1           3   \n",
       "1017190             1              1          2           2   \n",
       "1017191             1              1          1           1   \n",
       "1017192             1              1          1           3   \n",
       "1017193             1              1          1           1   \n",
       "1017194             1              1          4           3   \n",
       "1017195             1              1          1           1   \n",
       "1017196             1              1          4           3   \n",
       "1017197             1              1          4           1   \n",
       "1017198             1              1          3           3   \n",
       "1017199             1              1          1           3   \n",
       "1017200             1              1          1           1   \n",
       "1017201             1              1          1           1   \n",
       "1017202             1              1          3           1   \n",
       "1017203             1              1          3           3   \n",
       "1017204             1              1          1           1   \n",
       "1017205             1              1          3           3   \n",
       "1017206             1              1          1           3   \n",
       "1017207             1              1          1           3   \n",
       "1017208             1              1          4           3   \n",
       "\n",
       "         CompetitionDistance  CompetitionOpenSinceMonth  \\\n",
       "0                     1270.0                        9.0   \n",
       "1                      570.0                       11.0   \n",
       "2                    14130.0                       12.0   \n",
       "3                      620.0                        9.0   \n",
       "4                    29910.0                        4.0   \n",
       "5                      310.0                       12.0   \n",
       "6                    24000.0                        4.0   \n",
       "7                     7520.0                       10.0   \n",
       "8                     2030.0                        8.0   \n",
       "9                     3160.0                        9.0   \n",
       "10                     960.0                       11.0   \n",
       "11                    1070.0                        0.0   \n",
       "12                     310.0                        0.0   \n",
       "13                    1300.0                        3.0   \n",
       "14                    4110.0                        3.0   \n",
       "15                    3270.0                        0.0   \n",
       "16                      50.0                       12.0   \n",
       "17                   13840.0                        6.0   \n",
       "18                    3240.0                        0.0   \n",
       "19                    2340.0                        5.0   \n",
       "20                     550.0                       10.0   \n",
       "21                    1040.0                        0.0   \n",
       "22                    4060.0                        8.0   \n",
       "23                    4590.0                        3.0   \n",
       "24                     430.0                        4.0   \n",
       "25                    2300.0                        0.0   \n",
       "26                      60.0                        1.0   \n",
       "27                    1200.0                       10.0   \n",
       "28                    2170.0                        0.0   \n",
       "29                      40.0                        2.0   \n",
       "...                      ...                        ...   \n",
       "1017179                180.0                       11.0   \n",
       "1017180               2210.0                       11.0   \n",
       "1017181               4300.0                        3.0   \n",
       "1017182               5220.0                        5.0   \n",
       "1017183                330.0                        0.0   \n",
       "1017184               9990.0                        0.0   \n",
       "1017185                300.0                        7.0   \n",
       "1017186              10450.0                        6.0   \n",
       "1017187               2380.0                        3.0   \n",
       "1017188                690.0                        6.0   \n",
       "1017189               1130.0                        0.0   \n",
       "1017190                720.0                        3.0   \n",
       "1017191               1830.0                       11.0   \n",
       "1017192                200.0                        4.0   \n",
       "1017193                540.0                        0.0   \n",
       "1017194               4060.0                        9.0   \n",
       "1017195                850.0                       11.0   \n",
       "1017196               1340.0                       10.0   \n",
       "1017197                260.0                        2.0   \n",
       "1017198                330.0                       11.0   \n",
       "1017199               5330.0                        9.0   \n",
       "1017200               1400.0                        6.0   \n",
       "1017201                540.0                        4.0   \n",
       "1017202               3490.0                        4.0   \n",
       "1017203                900.0                        9.0   \n",
       "1017204               1900.0                        6.0   \n",
       "1017205               1880.0                        4.0   \n",
       "1017206               9260.0                        0.0   \n",
       "1017207                870.0                        0.0   \n",
       "1017208               5350.0                        0.0   \n",
       "\n",
       "         CompetitionOpenSinceYear  Promo2  Promo2SinceWeek  Promo2SinceYear  \\\n",
       "0                          2008.0       0              0.0              0.0   \n",
       "1                          2007.0       1             13.0           2010.0   \n",
       "2                          2006.0       1             14.0           2011.0   \n",
       "3                          2009.0       0              0.0              0.0   \n",
       "4                          2015.0       0              0.0              0.0   \n",
       "5                          2013.0       0              0.0              0.0   \n",
       "6                          2013.0       0              0.0              0.0   \n",
       "7                          2014.0       0              0.0              0.0   \n",
       "8                          2000.0       0              0.0              0.0   \n",
       "9                          2009.0       0              0.0              0.0   \n",
       "10                         2011.0       1              1.0           2012.0   \n",
       "11                            0.0       1             13.0           2010.0   \n",
       "12                            0.0       1             45.0           2009.0   \n",
       "13                         2014.0       1             40.0           2011.0   \n",
       "14                         2010.0       1             14.0           2011.0   \n",
       "15                            0.0       0              0.0              0.0   \n",
       "16                         2005.0       1             26.0           2010.0   \n",
       "17                         2010.0       1             14.0           2012.0   \n",
       "18                            0.0       1             22.0           2011.0   \n",
       "19                         2009.0       1             40.0           2014.0   \n",
       "20                         1999.0       1             45.0           2009.0   \n",
       "21                            0.0       1             22.0           2012.0   \n",
       "22                         2005.0       0              0.0              0.0   \n",
       "23                         2000.0       1             40.0           2011.0   \n",
       "24                         2003.0       0              0.0              0.0   \n",
       "25                            0.0       0              0.0              0.0   \n",
       "26                         2005.0       1              5.0           2011.0   \n",
       "27                         2014.0       1              6.0           2015.0   \n",
       "28                            0.0       0              0.0              0.0   \n",
       "29                         2014.0       1             10.0           2014.0   \n",
       "...                           ...     ...              ...              ...   \n",
       "1017179                    2013.0       1             18.0           2011.0   \n",
       "1017180                    2011.0       0              0.0              0.0   \n",
       "1017181                    2009.0       1             27.0           2013.0   \n",
       "1017182                    2009.0       0              0.0              0.0   \n",
       "1017183                       0.0       1             14.0           2011.0   \n",
       "1017184                       0.0       0              0.0              0.0   \n",
       "1017185                    2000.0       1             40.0           2014.0   \n",
       "1017186                    2009.0       0              0.0              0.0   \n",
       "1017187                    2013.0       1             40.0           2014.0   \n",
       "1017188                    2007.0       1             14.0           2011.0   \n",
       "1017189                       0.0       1             10.0           2014.0   \n",
       "1017190                    2002.0       0              0.0              0.0   \n",
       "1017191                    2004.0       0              0.0              0.0   \n",
       "1017192                    2013.0       1             14.0           2013.0   \n",
       "1017193                       0.0       1             14.0           2011.0   \n",
       "1017194                    2012.0       0              0.0              0.0   \n",
       "1017195                    2012.0       1             40.0           2014.0   \n",
       "1017196                    2006.0       1              5.0           2013.0   \n",
       "1017197                    2012.0       1             14.0           2011.0   \n",
       "1017198                    2008.0       1              5.0           2013.0   \n",
       "1017199                    2011.0       1             31.0           2013.0   \n",
       "1017200                    2012.0       1             13.0           2010.0   \n",
       "1017201                    2004.0       0              0.0              0.0   \n",
       "1017202                    2011.0       1             22.0           2012.0   \n",
       "1017203                    2010.0       0              0.0              0.0   \n",
       "1017204                    2014.0       1             31.0           2013.0   \n",
       "1017205                    2006.0       0              0.0              0.0   \n",
       "1017206                       0.0       0              0.0              0.0   \n",
       "1017207                       0.0       0              0.0              0.0   \n",
       "1017208                       0.0       1             22.0           2012.0   \n",
       "\n",
       "            PromoInterval  \n",
       "0                       0  \n",
       "1         Jan,Apr,Jul,Oct  \n",
       "2         Jan,Apr,Jul,Oct  \n",
       "3                       0  \n",
       "4                       0  \n",
       "5                       0  \n",
       "6                       0  \n",
       "7                       0  \n",
       "8                       0  \n",
       "9                       0  \n",
       "10        Jan,Apr,Jul,Oct  \n",
       "11        Jan,Apr,Jul,Oct  \n",
       "12        Feb,May,Aug,Nov  \n",
       "13        Jan,Apr,Jul,Oct  \n",
       "14        Jan,Apr,Jul,Oct  \n",
       "15                      0  \n",
       "16        Jan,Apr,Jul,Oct  \n",
       "17        Jan,Apr,Jul,Oct  \n",
       "18       Mar,Jun,Sept,Dec  \n",
       "19        Jan,Apr,Jul,Oct  \n",
       "20        Jan,Apr,Jul,Oct  \n",
       "21        Jan,Apr,Jul,Oct  \n",
       "22                      0  \n",
       "23        Jan,Apr,Jul,Oct  \n",
       "24                      0  \n",
       "25                      0  \n",
       "26        Jan,Apr,Jul,Oct  \n",
       "27       Mar,Jun,Sept,Dec  \n",
       "28                      0  \n",
       "29       Mar,Jun,Sept,Dec  \n",
       "...                   ...  \n",
       "1017179   Feb,May,Aug,Nov  \n",
       "1017180                 0  \n",
       "1017181   Jan,Apr,Jul,Oct  \n",
       "1017182                 0  \n",
       "1017183   Jan,Apr,Jul,Oct  \n",
       "1017184                 0  \n",
       "1017185   Jan,Apr,Jul,Oct  \n",
       "1017186                 0  \n",
       "1017187   Jan,Apr,Jul,Oct  \n",
       "1017188   Jan,Apr,Jul,Oct  \n",
       "1017189  Mar,Jun,Sept,Dec  \n",
       "1017190                 0  \n",
       "1017191                 0  \n",
       "1017192   Jan,Apr,Jul,Oct  \n",
       "1017193   Jan,Apr,Jul,Oct  \n",
       "1017194                 0  \n",
       "1017195   Jan,Apr,Jul,Oct  \n",
       "1017196   Feb,May,Aug,Nov  \n",
       "1017197   Jan,Apr,Jul,Oct  \n",
       "1017198   Feb,May,Aug,Nov  \n",
       "1017199   Jan,Apr,Jul,Oct  \n",
       "1017200   Jan,Apr,Jul,Oct  \n",
       "1017201                 0  \n",
       "1017202   Jan,Apr,Jul,Oct  \n",
       "1017203                 0  \n",
       "1017204   Jan,Apr,Jul,Oct  \n",
       "1017205                 0  \n",
       "1017206                 0  \n",
       "1017207                 0  \n",
       "1017208  Mar,Jun,Sept,Dec  \n",
       "\n",
       "[1017209 rows x 18 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_store"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "dtype = {'Store':'uint32','Sales':'uint32','DayOfWeek':'uint32','Customers':'uint32','Open':'uint32','Promo':'uint32'\n",
    "        ,'StateHoliday':'uint32','SchoolHoliday':'uint32','StoreType':'uint32','Assortment':'uint32',\n",
    "       'CompetitionDistance':'float32', 'CompetitionOpenSinceMonth':'float32','CompetitionOpenSinceYear':'float32',\n",
    "       'Promo2':'uint32','Promo2SinceWeek':'float32','PromoInterval':'uint32'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "export_csv = train_store.to_csv (r'C:\\Users\\David\\Desktop\\rossmann\\train_store.csv', index = None, header=True) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visual Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2015-07-31', '2015-07-31', '2015-07-31', '2015-07-31',\n",
       "               '2015-07-31', '2015-07-31', '2015-07-31', '2015-07-31',\n",
       "               '2015-07-31', '2015-07-31',\n",
       "               ...\n",
       "               '2013-01-01', '2013-01-01', '2013-01-01', '2013-01-01',\n",
       "               '2013-01-01', '2013-01-01', '2013-01-01', '2013-01-01',\n",
       "               '2013-01-01', '2013-01-01'],\n",
       "              dtype='datetime64[ns]', name='Date', length=1017209, freq=None)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_store = train_store.set_index('Date')\n",
    "train_store.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_store.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y = train_store['Sales'].resample('MS').sum()\n",
    "\n",
    "\n",
    "y.plot(figsize=(15, 6))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2013-01-01    180132207\n",
       "2013-02-01    171534275\n",
       "2013-03-01    201180369\n",
       "2013-04-01    183431432\n",
       "2013-05-01    185411063\n",
       "2013-06-01    180702351\n",
       "2013-07-01    208843882\n",
       "2013-08-01    198042727\n",
       "2013-09-01    178053963\n",
       "2013-10-01    187662330\n",
       "2013-11-01    196170924\n",
       "2013-12-01    231710561\n",
       "2014-01-01    187752787\n",
       "2014-02-01    178924677\n",
       "2014-03-01    193019854\n",
       "2014-04-01    194544977\n",
       "2014-05-01    194693257\n",
       "2014-06-01    190047051\n",
       "2014-07-01    173892707\n",
       "2014-08-01    163748475\n",
       "2014-09-01    164516168\n",
       "2014-10-01    164216398\n",
       "2014-11-01    173327953\n",
       "2014-12-01    202120592\n",
       "2015-01-01    198843730\n",
       "2015-02-01    178275458\n",
       "2015-03-01    205631683\n",
       "2015-04-01    197918886\n",
       "2015-05-01    189143897\n",
       "2015-06-01    207363373\n",
       "2015-07-01    212322616\n",
       "Freq: MS, Name: Sales, dtype: int64"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y['2013':]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dqm3Qoo0FGte/o4L8vK2O43ZOV8jmSXr2mJ83HHe/r6TxkpiMAQAAAG5o0YYCVdU1cvZYMznlJYumaR6SJMMwgiR9LOl3x93/3ZH7T/tEmZmZ5xyyudTU1DhlLgAAAMBZvLsqX13aesvvUKEyM4usjuN2TnuAgGEYMZIWSpphmuZH5/pE8fHx5/pLm01mZqZT5gIAAACcwZaCMu0o2aXnxiUoISHO6jguLT09/YS3n25Tj0hJX0uaZprm0mbIBQAAAMBJpaTmysfLQ+MHRlkdxW2dbkL2tKRQSc8ahnF0LdlbkgJN03yzWZMBAAAAsEx1XaM+2ZCvq/p0UNsAH6vjuK3TrSF7WNLDp3sQ0zRHN1UgAADc1RcZhYprH6heHYKtjgIAp7U4o1AVNQ1s5tHMOBgaAIAWsDm/TPd9uF7XTP9OKak5cjgcVkcCgFNKSc1R13aBuiAuzOoobo1CBgBAC3h96Q4F+3lpSJcwPbUgQ09+vEnVdY1WxwKAE9q+t0Lr9hzQxKQY2Ww2q+O4NQoZAADNbEtBmb7euld3JXfVe3cO0UMX99D89XkaP+M7Ze+vtDoeAPxCSmquvD1tuiEx2uoobo9CBgBAM3t96Q4F+Xnp9uFd5Olh02OX9tS7tyepqLxG495Yoy83c64PAOdRU9+oBT/l6bKEDmrXxtfqOG6PQgYAQDPaUlCmr7bs1V3JcQrx9/7P7aONCH3+YLK6tg/UvR+k64UlmapvtFuYFAAO+2pLkQ5W1WvSkBiro7QKFDIAAJrR0enYHcN/eaBqdGiA5t47TLcOjdWbq3bplrd+VHF5jQUpAeC/UlJzFRPmr+Hd2lkdpVWgkAEA0Ey2FpTrqy17defwn0/HjuXr5an/ua6PXps0QBn5Zbrq9TX6PqukhZMCwGHZ+yv1/a4STRwcIw8PNvNoCRQyAACaydHp2J3Jv5yOHe/aAVH6dNpwBft76Za3f9DMFVmy29kaH0DLSknLlaeHTRMGc7liS6GQAQDQDDILy/XllqJTTseO1zMySIumJeuqvh314pfbdM/76Sqrqm/mpABwWF2DXR+n52qMEaHIYD+r47QaFDIAAJrB60t3KMjXS3eeYO3YqbTx9dIbkwfqD+MStMIs1tXTV2tzflkzpQSA/1qauVf7D9VpMpt5tCgKGQAATSyzsFxfbC7SHclxCgk4s+nYsWw2m24fHqc5U4epodGh62eu1Zy0nGZICgD/NTstVx1D/DSqZ3uro7QqFDIAAJrY0enYXWc5HTteYmyoPn8wWRfEhek38zP05LyNqq5rbKKUAPBfuaVVWr1jnyYMjpGXJxWhJfG7DQBAE9pWdH7TseOFt/HVv+4Yoocu7qGP1+dp/IzvlL2/sgmSAsB/zVuXK0m6aXC0xUlaHwoZAABNqKmmY8fy9LDpsUt76t3bk1RUXqNxb6zRV1uKmuzxAbRuDY12zV2Xp5E92is6NMDqOK0OhQwAgCayrahcSzKKdMfwLk0yHTveaCNCnz+YrK7tAzX1/XS9sCRTDY32Jn8eAK3Lyu37VFRew2YeFqGQAQDQRP6zs+IZnDt2rqJDAzT33mG6dWis3ly1Sze/9aOKy2ua7fkAuL/Zqblq18ZXF8dHWh2lVaKQAQDQBMyiCi3JKNLtw7uobYBPsz6Xr5en/ue6Pnpt0gBl5JfpqtfX6PuskmZ9TgDuqaisRsvNYt2YGC1vNvOwBL/rAAA0gdeX7lAbXy/d1YzTseNdOyBKn04brmB/L93y9g+auSJLDoejxZ4fgOubty5XjXaHJiVxuaJVKGQAAJwns6hCizMKdUcLTMeO1zMySIumJevKvh314pfbdPe/01VWXd+iGQC4JrvdoTnrcnVht3B1aRdodZxWi0IGAMB5en1Zy0/HjtXG10vTJw/Uc+MStMIs1rg31mhzfpklWQC4jjU79yvvQLUmDelsdZRWjUIGAMB5OLx2rFC3X9jy07Fj2Ww23TE8TnOmDlNdg13Xz1yrOWk5luUB4PxS0nIUGuCty3uzmYeVKGQAAJyH15ftUKCPddOx4yXGhmrxQ8ka0iVMv5mfoSfnbVRNfaPVsQA4mf2HavXN1r26flC0fL08rY7TqlHIAAA4R9v3/nc6Fhpo3XTseOFtfPXenUP00EXdNS89T+NnrFX2/kqrYwFwIvPT81Tf6ODsMSdAIQMA4By9vnSHArw9nWY6dixPD5seu8zQu3ckqbCsWuPeWKOvthRZHQuAE3A4HJqTlqvBsaHqHhFkdZxWj0IGAMA52L738M6Ktw93runY8cYYEfr8wWTFtQ/U1PfT9cKSTDU02q2OBcBCP+4u1a79lWzm4SQoZAAAnIOj07FfJXe1OsppRYcGaN69wzRlaGe9uWqXbn7rRxWX11gdC4BFUlJzFOTnpbF9O1odBaKQAQBw1nYcmY79PydbO3Yqvl6eev66vnp14gBl5JfpqtfX6IddJVbHAtDCDlbVacnmIl03IEr+Pmzm4QwoZAAAnKXXl+08PB0b4fzTseNdNzBKn04brmB/L9381g+auSJLDofD6lgAWsiC9fmqa7BrMpcrOg0KGQAAZ2HH3gp9vqlA/+/CLgpzkenY8XpGBmnRtGRd2bejXvxym+7+d7rKquutjgWgmTkcDqWk5ah/dIgSOgVbHQdHUMgAADgLrjwdO1YbXy9NnzxQv786QSvMYo17Y40255dZHQtAM1qfc1Db9x5iMw8nQyEDAOAM7Sw+PB27zYWnY8ey2Wy6MzlOc6YOU12DXdfPXKs5aTlWxwLQTFJScxTg46lx/TtZHQXHoJABAHCGXl+6U/7enrrbxadjx0uMDdXih5I1pEuYfjM/Q0/O26ia+karYwFoQhU19fp8U6Gu6d9JbXy9rI6DY1DIAAA4AzuLK/SZi68dO5XwNr56784heuii7pqXnqfxM9Yqe3+l1bEANJFPNxSour6RyxWdEIUMAIAz8MYy95yOHcvTw6bHLjP07h1JKiyr1rg31uirLUVWxwLQBFLSctSrQ5D6R4dYHQXHoZABAHAaO4sPadHGAt02zD2nY8cbY0To8weTFdc+UFPfT9dflmSqodFudSwA5ygjr0yb88s1eUhn2Ww2q+PgOBQyAABO441lO45Mx+KsjtJiokMDNO/eYZoytLNmrdqlm9/+UcXlNVbHAnAOZqflyNfLQ9cNjLI6Ck6AQgYAwCkcOx0Lb+NrdZwW5evlqeev66tXJvZXRl6Zrnp9jX7YVWJ1LABnobK2QYs2FGhsv44K8fe2Og5OgEIGnMJnGwv0yjfb5XA4rI4CwCLTl+2Qn1frmo4db/zAaH3ywHAF+3vp5rd+0MwVWbwuAi5i8aZCHapt0GQ283BaFDLgJA7VNuiZhRl6bekO/XPNbqvjALDAf6ZjF8a2uunY8YwOQVo0LVlX9umoF7/cpnveT1dZdb3VsQCcxuy0HHWPaKPBsaFWR8FJUMiAk/joxz0qr2nQgJi2+ssX27Q2a7/VkQC0sOnLdsjXy1P3uPHOimejja+Xpt88UL+/OkHLtxXrmulrtKWgzOpYAE7CLKrQTzkHNSkphs08nBiFDDiB2oZGvb16ty7sFq4PfnWBuoQH6MGPflLBwWqrowFoIVn7jq4dYzp2LJvNpjuT4zRn6lDV1ts1fsZazUnLsToWgBOYnZojH08PXT8o2uooOIXTFjLDMLwNw3jfMIzVhmGkGoZxzXH3jzMMI80wjO8Nw7i7+aICLWd+er6KK2p1/+juauPrpTdvG6zaBrvu+yBdNfWNVscD0AKmL9spXy9P3T2S6diJJMaG6fOHkpXUJVS/mZ+hJ+dt5PURcCI19Y1a+FO+Lusd2SqO63BlZzIhmyKpxDTNEZKulDT96B2GYXhLekXSZZJGSbrHMIwOzREUaCkNjXb9Y2WW+keHaHj3cElSt/Zt9PJN/bUxr0zPfbqFxeyAm8vad0ifbsjXbcNi1Y7p2Em1a+Orf995gR68qLvmpedp/Iy1yt5faXUsAJK+2Fyosup6NvNwAWdSyOZJevaYnzcc8+N4STtN0zxgmmadpDWSRjRhPqDFLc4oVE5ple4b3f1n11tf3ruDpo3prjnrcjU7NdfChACaG9OxM+fpYdPjlxl69/YkFRys1rjpa/TVliKrYwGt3uzUXMWGB2hY13Cro+A0vE73BaZpHpIkwzCCJH0s6XfH3B0s6djVvBWSQk70OJmZmeeespnU1NQ4ZS5Yx+Fw6NWv8hUT4q0Yj1JlZh742f1XRDv0Q5S/fv9phvxqSxTf3s+ipACaS15ZnT7dkK/xCSHal7tL+6wO5CI6SHrtqg7684piTX0/XTf2DtHtg8Lk6cFGAkBLyyurU+ruUt0xKEymuc3qODiN0xYySTIMI0bSQkkzTNP86Ji7yiUFHfPzIEkHT/QY8fHx55qx2WRmZjplLlhn2ba92n1gt16a0F+9E068APbtuO66Zvp3enFNiT5/cITaB3E5E+BO3pqzQT5eHvrt+CQuVzxL8ZKGDWzUnz7bqg9/zFFOlaemTx6oiGA+vAJa0sIlmfLysOm+KwcqIoi/f84iPT39hLefyaYekZK+lvQb0zTfOe7uTEk9DMMIMwzDR9JISd+fZ1bAEg6HQ39fnqWotv66dkCnk35d2wAf/WNKosqq6/XAh+tV32hvwZQAmtOufYf0yYZ83TasC2XsHPl6eerP4/vqlYn9lZFXpqteX6MfdpVYHQtoNeoa7JqfnqeL4yMoYy7iTNaQPS0pVNKzhmGsOPK/WwzDuMc0zXpJj0n6SoeL2DumaeY3Y16g2aTuLlX6ngO6Z2RXeXue+q9GQqdgvXhDP6Vml+qFJVz2CriL6ct3ysfLQ3dz7th5Gz8wWp88MFzBfl665e0f9Y+VWWyIBLSAb7buVUllnSaxmYfLOJM1ZA9LevgU938m6bOmDAVYYcaKLIUH+uimwTFn9PXXDojSxtwyvfPdbvWLDtH4gZzxAbiy3fsr9clP+borOY5LkZuI0SFIn04brt/M36S/frFN6XsO6KUJ/RXi7211NMBtpaTlKKqtv0b2aG91FJwhDoYGJG3OL9PK7ft0Z3Kc/H08z/jX/faqXrogLky/XZChLQVlp/8FAJzWG8t2yMfLQ/eM7GZ1FLcS5Oetv988SL+/OkHLtxXrmulreL0EmkluaZVW79ivCYOj2VDHhVDIAEkzV2QpyNdLU4bGntWv8/b00PSbB6mtv4/u/SBdB6vqmikhgOaUvb9Sn24o0JQLYpmONQObzaY7k+M0Z+pQ1dQ36voZazU3jeNDgKaWkpYjD5vO+GofOAcKGVq9XfsOacnmQk0ZFntOl9G0D/LVzCmDtLesVg+lbFCjnTUSgKt5Y9lOeXvadM8o1o41p8TYMC1+aIQGdwnVr+dv0q8/3qia+karYwFuoaHRrnnr8jTaiFCntv5Wx8FZoJCh1Zu1cpd8PD105/C4c36MgZ1D9cdre2vV9n362zdmE6YD0Nyy91fqkw35mnJBLDuStYB2bXz17zsv0IMXddfcdXkaP2Ot9pRUWh0LcHnLthWruKJWk5KYjrkaChlatcKyai34KU83DY4578uUJg/prElJMfr78ix9ubmoiRICaG5Mx1qep4dNj19m6N3bk1RwsFq3vZOqytoGq2MBLi0lLVcRQb66qFeE1VFwlihkaNXeXr1bdod0z8imeSP2x2t7q39MWz0xb6N2Fh9qkscE0HyOTsduYTpmiTG9IvTWbYOVU1ql//l8q9VxAJdVWFatFWaxJgyOltdpju6B8+FPDK1WaWWdPvoxR9f276SYsIAmeUxfL0/NvGWQfL08NPX9daqoqW+SxwXQPKYv3ykvD5umMh2zzJC4MN03qptS0nL11RauLgDOxdy0PNkd0sTBnD3miihkaLX+tTZb1fWNund0025x3amtv6bfPEjZJVV6Yt5GDkIFnNSekkot/ClfU4YyHbPaI5f0VJ+oYD01f5OKy2usjgO4lEa7Q3PX5Sq5ezt1Dm+aD5jRsihkaJUO1TbovbXZujQhUj0jg5r88Yd1C9dvr+ylr7bs1YwVWU3++ADO3/RlTMechY+Xh16dOEBVdY168uNNfJAFnIXVO/Yp/2C1Jg1hMw9XRSFDqzT7xxyHoQgJAAAgAElEQVSVVdfr/iaejh3rruQ4XdO/k1762tSq7fua7XkAnL09JZVa8BNrx5xJ94ggPTM2Xiu379P7P+yxOg7gMman5igs0EeXJkRaHQXniEKGVqe2oVFvrd6lC7uFa2Dn0GZ7HpvNpr/e0FdGZJAenP2Tckurmu25AJydo9Oxe5mOOZVbh8ZqVM/2+vPiTO0srrA6DuD0iitqtDSzWDcMipKvl6fVcXCOKGRodean56u4olb3j+7e7M8V4OOlWbcmyuFwaOr76aqu4wBUwGpHp2M3X9BZEcFMx5yJzWbT/03op0BfLz0yZ4PqGuxWRwKc2sfpeWqwOzRpCJt5uDIKGVqVhka7Zq3KUr/oEA3vHt4izxkbHqjXJg9UZlG5nl6YwdoIwGJ/P7Kz4n2jmu+SZZy7iCA//eX6vtqcX65Xv91udRzAadntDs1Jy9WQuDB1a9/G6jg4DxQytCpLNhdpT0mV7h/dTTabrcWed4wRoccu6amFP+XrvbXZLfa8AH4up6RK89czHXN2l/fuoImDYzRzZZZSd5daHQdwOgcq6/TUgk3aU1KlyWzm4fIoZGg1HA6HZizfqW7tA3VZQocWf/4HxnTXJfGRen5xJm8wAItMX76D6ZiL+P24BHUOC9CjczaonDMdAUmHp2KzU3M05uUVmr8+X/eM7Kpx/TpZHQvniUKGVmO5WaxtRRW6b3R3eXi03HTsKA8Pm/42sb86hwXo/g/Xq6iMs3aAlpRTUqUF6/M1eQjTMVcQ6OulVyYOUFF5jf6waIvVcQDLbc4v0/Uz1+q3CzLUMyJIix9K1tNXxcvLk7fzro4/QbQaM5ZnKaqtv64dYN0nScF+3pp1a6Kq6xp034fpqm1gkw+gpfx9+U55eNh0XzMed4GmNahzqKaN6a4F6/P1+aYCq+MAliirrtdzn27WNdPXKO9AlV6e0F9zpg5Vrw7BVkdDE6GQoVVI3V2qdXsO6O4RcfK2+JOkHpFBemlCf/2Uc1B/+myrpVmA1uLw2rE83TyksyKZjrmUaRd114CYtnpm4WYVllVbHQdoMQ6HQwvW5+nil1fq/R/2aMrQWC19fLRuSIxu0XXwaH4UMrQKM1bsVHigjyYmOce2sFf27ah7R3XThz/maG5artVxALfHdMx1eXt66JWJA1TXYNcT8zbKbmenWrg/s6hCE9/8QY/N3aioUH8tmpasP13bRyH+3lZHQzOgkMHtbc4v0wpzn+5MjpO/j/Mcmvjk5YaSu7fT7z7drI25B62OA7it3FKmY64url2gfj8uQd/tLNG77FQLN1ZZ26AXlmRq7OurtX1vhV4Y31cL77tQfaJCrI6GZkQhg9ubuTJLbXy9NGVorNVRfsbTw6Y3Jg9U+za+uu+DdO0/VGt1JMAtHZ2O3cvOii5tUlKMLomP1ItfbtO2onKr4wBNyuFwaPGmQl388kq9uWqXbhgUrWWPj9bNF3S2ZCMytCwKGdza7v2V+iKjUFOGxjrlmD800Eezbk1USWWdHvzoJzU02q2OBLiV3NIqfZx+eDrWIYTpmCuz2Wx68Ya+Cvbz1iMpG1RTz6ZIcA+79h3Sbe+k6oGP1iss0Efz77tQL97YT2GBPlZHQwuhkMGtzVqZJS9PD92Z3MXqKCfVJypEL4zvq+93lejFL7dZHQdwKzNW7JSHjemYuwhv46v/u7GfthVV6OWvTavjAOeluq5RL31l6opXV2tDzkH9YVyCFk0brsTYUKujoYV5WR0AaC5FZTWavz5PE5NiFBHk3J+M35AYrU15B/XW6t3qF91W4/pzyCNwvnJLqzRvXZ5uuYDpmDsZ0ytCU4Z21lurd2uMEaELu7ezOhJw1r7duld/+GyL8g5U67oBnfT02Hinf6+C5sOEDG7rrdW7ZHdIU0e6xifjz4xN0ODYUP36402sjwCawNHp2H2ju1sdBU3smasS1LV9oB6ft1FlVfVWxwHOWG5plX71Xpp+9e918vf21Oy7h+rVSQMpY60chQxu6UBlnWan5uia/p0UExZgdZwz4uPloRm3DFKQn5emvp+usmreZADn6uh0bNKQGKZjbsjfx1OvThygfRW1euaTDDkcbIUP51bb0Kg3lu7QJX9bqbVZJfrtlb205OERGtYt3OpocAIUMrilf63NVlVdo8udORQR7KeZUwap4GC1Hkn5ifN2gHM0Y0XWkemYa70G4Mz1i26rRy/tqc83FerTDQVWxwFOatX2fbri1dV6+Zvtujg+Qt8+NkpTR3WTtydvw3EY3wlwO4dqG/Svtdm6JD5SPSODrI5z1hJjw/T7cb213Nyn15busDoO4HLyDlRp3rpcTRoSo44h/lbHQTO6d1Q3DY4N1bOfbFbegSqr4wA/U1hWrQc+XK/b3kmVw+HQe3cO0YxbEtWpLa9L+DkKGdzO7B9zVFZdr/vHuO4n41Mu6KwbE6P12tIdWpq51+o4gEv5+3KmY62Fp4dNr0wcIIekx+ZuVCNXFcAJ1Dfa9eaqLF388kp9m7lXj13aU18+MlKjera3OhqcFIUMbqW2oVFvr9mlYV3DNaiz624ba7PZ9Px1fdQ3KkSPzNmg3fsrrY4EuIS8A1X6OD1XE5OYjrUWMWEB+sM1vZW6u1Rvrd5ldRy0cj/uKtHY11frhSXbNKxruL55dJQeuriH/Lw9rY4GJ0Yhg1tZsD5fe8trXXo6dpSft6dmThkkb08PTX1/nSprG6yOBDi9GSuyZBPTsdbmhkFRuqpvB738tanN+WVWx0ErVFxRo0fnbNDEN39QZW2j3rptsP55e5I6h7vGxmKwFoUMbqPR7tCslVnqGxWiZDc5lyY6NEBvTB6oncWH9Ov5m9hJDDiFo2vHJibFsEajlbHZbPrzdX0VFuijR+ZsUE19o9WR0Eo02h16b222Ln5ppT7fVKAHxnTTt4+N0qUJkVZHgwuhkMFtLMkoVHZJlR4Y0002m83qOE1mePd2+s0VvbR4UyGX4wCnMGNFliQxHWulQgN99NKE/tpZfEh//WKb1XHQCqzPOaBrpq/Rc4u2qH9MW335yEg9eXkv+ftweSLOjpfVAYCm4HA4NGNFlrq1D9RlCR2sjtPk7hnZVZvyyvTXL7apd6cQDXeTCSDQVPIPVjMdg0b0aK87hnfRu99la0yvCDZRQLM4UFmnF7/cppS0XEUG+2r6zQM1tm9Ht/owGC2LCRncwgpznzILy3XvqG7y8HC/F0Sbzab/vbGfuke00bSP1rO9M3CcGct3SpLuH93d4iSw2m+u6KWekW30xLyNKq2sszoO3Ijd7lBKao7GvLxC89LzdPeIOC19fLSu7teJMobzQiGDW5ixYqc6hfjp2gFRVkdpNoG+Xpp162A1NDp03wfrWSMBHJF/sFpz1+XqpsFMx3B4Q6RXJw5UWVW9nl6QwdpbNInN+WW64R9r9dSCDPWMCNLih5L1zNgEtfHlYjOcPwoZXF7q7lKlZR/Q3SO7ysfLvb+l49oF6pWJA5SRX6bffbKZNxqApJkrjkzHxjAdw2EJnYL1xOU99eWWIs1Lz7M6DlxYWXW9nvt0s66Zvka5pVV6eUJ/zZk6VL06BFsdDW6EWg+XN2PFToUF+mhSUmero7SISxIi9dDFPfT60h3qH9NWtw6NtToSYJmCg9Wak3Z4OhbFdAzH+FVyVy3bVqw/LtqioXHhbD+Os+JwOPTJhnz9efE2lVbWasrQWD1+maEQf2+ro8ENufc4AW5vS0GZVpj7dOfwLq1qV6NHLu6hMUZ7/emzLUrfU2p1HMAyM5iO4SQ8PGx6+aYB8vCw6dG5G9TQaLc6ElzE9r0VmvTmD3p0zkZFhfpr0bRk/enaPpQxNBsKGVzazBVZauPrpVuHdbE6Sovy8LDp1YkD1amtv+77YL2Ky2usjgS0uIKD1ZqblqcJTMdwElFt/fX8dX2UvueAZh45FgE4mcraBr2wJFNXvbZa5t4KvTC+rxbed6H6RIVYHQ1ujkIGl7V7f6WWZBTqlqGdW+WnViEB3pp1a6Iqahp0/4frVdfAp79oXWauyJJDDt3PuWM4hWsHROnaAZ306tId2pB70Oo4cEIOh0OLNxXq4pdX6s1Vu3TDoGgte3y0br6gs1vu3Aznc0aFzDCMCwzDWHGC2281DGOTYRirDcO4q8nTAacwa2WWvDw9dFdynNVRLNOrQ7BevLGf1u05oD8v3mp1HKDFHF07NmFwjKJDWRuEU/vTtX0UGeSrR+dsUFVdg9Vx4ER27Tuk295J1QMfrVdYoI/m33ehXryxn8ICfayOhlbktIXMMIxfS3pbkt9xt7eT9Lyk0ZJGSbrFMIwuTR8R+KWishrNX5+nmwZHKyLI7/S/wI1d07+T7h4Rp/e+36P57CaGVoLpGM5GiL+3Xr5pgLJLKvX84kyr48AJVNc16uWvTV3x6mptyDmo58YlaNG04UqMDbU6GlqhM5mQZUm6/gS3d5W0wTTNUtM07ZLSJA1tynDAyby9epfsDmnqSN6MSYcPQh3WNVxPL8zQ5vwyq+MAzaqw7PB07MZEpmM4c8O6heueEV310Y85Wpq51+o4sNC3W/fq0ldW6o1lO3VV3w5a+sQo3TE8Tl6erOSBNU677b1pmvNPMvnaIam3YRiRkiokXSxp+8keJzPT+T6RqqmpccpcOLXymkZ98EOORnYJ1KG9e8S/q4c9lNRGD+09qDvf+UFvXB2lYL/Ws+skWpcZP+xXo92uy2McvIbjrFzV2aFvQn302Jz1mnlNtEL9Of2nNSmqqNc/Ukv0Y16VOod468XLO6pfBz+V5O1WidXh0Kqd8yuRaZoHDMN4VNJ8SXmS1kvaf7Kvj4+PP9enajaZmZlOmQun9uq321XT4NBT1wyS0SHI6jhO5e120Zow63tNX1+pf90xRJ4sRoabKSyr1lc7s3VTUoxGJ/WzOg5c0D/ax+jqN9bon5tq9Pb/GyybjddJd1fb0Ki3Vu3SG8uy5elh02+v7KU7k+PkzUQMLSw9Pf2Et5/zd6JhGF46fIniSEm3Seol6btzfTzgTFTWNujd77J1SXwkZewE+se01fPX9tHqHfv10tem1XGAJvePFVmyOxy6fzTnjuHc9IwM0lNX9NLSbcX6KDXH6jhoZqt37NOVr67WS19v10W9IvTtY6M0dVQ3yhicyllPyAzDuFlSG9M03zQMo05SuqQaSS+bpnnSCRnQFGan5qisul73j2Ht2MnclBSjDXkHNXNFlvpFhejKvh2tjgQ0iaKyGs1OzdWEwdGKCWPtGM7d7Rd20XKzWM9/nqlhXcPVtX0bqyOhiRWWVev5zzO1OKNQXcID9N6dQzSqZ3urYwEndEaFzDTNbB3ZsMM0zY+Ouf2Pkv7YLMmA49Q2NOqt1bs0tGuYBnVmF6RTeW5cgjILy/XEvI3qHtFGPSKZJsL1zVyxk+kYmoSHh00vTeivy19dpUfnbNDH913IxMRN1Dfa9e53u/XqtzvUaHfosUt76p6RXeXnzbpqOC9efeAyFq7P197yWt6MnQFfL0/NvCVR/j5emvp+uspr6q2OBJyXo9OxGxOZjqFpRAb76YXxfbUxr0xvLN1hdRw0gR93lWjs66v1wpJtGtY1XN88OkoPXdyDMganRyGDS2i0O/SPlVnqGxWiET3aWR3HJXQI8dOMWwYpp7RKj8/dKLvdYXUk4Jz9Y+XhtWMPjOEDGTSdq/p21I2J0Zq+fKfS95RaHQfnaF9FrR6bs0ET3/xBlbWNeuu2wfrn7UnqHM6HN3ANFDK4hCUZhcouqdL9o7uxI9ZZGBIXpmfGxuubrXs1Y8VOq+MA56SorEYfpeYwHUOzeG5cgjq19dejczbqUG2D1XFwFhrtDr23NlsXvbxCn20q0ANjuunbx0bp0oRIq6MBZ4VCBqfncDg0Y0WWurYP1OW9O1gdx+XcfmEXjR8YpZe/2a7lZrHVcYCz9o+VWbLbmY6heQT5eeuViQOUd6BKf/psi9VxcIbW5xzQNdPX6LlFW9Q/uq2+fGSknry8l/x9uDwRrodCBqe3Yvs+ZRaW695R3eTBuVpnzWaz6YXxfRXfIVgPz/5Je0oqrY4EnLG95YenYzcMYjqG5pPUJUz3j+6uuevy9OXmQqvj4BQOVNbptws26foZa7X/UK2m3zxQ7981RN3YKRMujEIGpzdzeZY6hfjpugFRVkdxWf4+npp1a6JsNpumvp+uqjouy4FrmLmC6RhaxsOX9FC/6BA9tSBDe8trrI6D49jtDqWk5uiil1do7ro8/So5TksfH62r+3ViKQNcHoUMTi0tu1Sp2aW6e2RX+Xjx7Xo+YsIC9PrkgTL3Vui3CzLkcLDJB5zbsdMxFuejuXl7euiViQNUU9+oJ+axEZIzyS2t0s1v/6CnFmSoR0SQFj+UrN9dnaA2vmd9nC7glHiHC6c2Y/lOhQX6aFJSZ6ujuIVRPdvricsMfbqhQO98l211HOCUZq7IUiPTMbSgbu3b6JmxCVq9Y7/+/X221XFaPYfDoblpubrytdXKyCvTX6/vqzlTh6pXh2CrowFNio8W4LS2FpRrublPj1/ak0W6Tej+0d20Ke+gXliSqd6dgjW0a7jVkYBfKC6v0ezUHN0wKIrpGFrUlAs6a1nmXv3li20a3r2dekQGWR2pVSquqNFv52do6bZiXRAXppcm9GcdKdwWEzI4rZkrsxTo46nbhnWxOopbsdlsemlCf3UJD9C0j9arsKza6kjAL8xcmaUGu0PTxvSwOgpaGZvNpv+9sb/a+Hrp4ZQNqmuwWx2p1VmSUajLX1mlNTv369mrEzT77qGUMbg1ChmcUvb+Si3eVKApw2IVEuBtdRy3E+TnrVm3DlZNvV33frBetQ2NVkcC/qO4vEYf/Zij6wcyHYM12gf56q839NPWwnL97ZvtVsdpNQ5W1enhlJ90/4fr1TksQIsfStZdyXHssAy3RyGDU5q1Kktenh66KznO6ihuq3tEG700ob825h7UHxZx9g6cxz9W7jo8HbuItWOwzqUJkZo8pLNmrcrSD7tKrI7j9laYxbr81VVavKlQj13aU/Pvu1DdI7hcFK0DhQxOZ295jean52tCYrQigvysjuPWrujTQQ+M6abZqbmanZpjdRxAxeU1+vDHPbp+YJRiwwOtjoNW7ndj4xUbFqDH525UeU291XHcUmVtg55emKHb301TsJ+3PnlguB66uIe8PHmLitaD73Y4nbdX71KD3a6pI7tZHaVVeOxSQyN7ttdzn27RTzkHrI6DVo7pGJxJoK+XXpk4QEXlNXruU64kaGpp2aW68rXVmp2ao3tGdtVnDyarT1SI1bGAFkchg1M5WFWnD3/M0TX9O7F2pIV4etj0+qQBigzx1X0frNe+ilqrI6GVOjodG890DE5kYOdQPXRRDy38KV+LNhZYHcct1NQ36i9LMnXTrO/lkENz7hmmp6+Kl583OyqjdaKQwan8a222quoadd9oPh1vSW0DfDRrymAdrK7TtI/Wq76RXcXQ8matOjId49wxOJkHxnTTwM5t9buFGSo4yM6052Nzfpmumb5Gs1bt0qSkzvri4ZEaEhdmdSzAUhQyOI3K2gb9a222LomPkNGBhbwtLaFTsP56fT/9uLtUf/1im9VxXA4l9vwUV9Togx8OT8e6tGM6Bufi5emhVycOUIPdocfnbpTd7rA6kstpaLTr9aU7dN3fv9PBqnq9e0eS/nJ9X7Xx5UhcgL8FcBqzU3N0sKqe6ZiFrhsYpY15B/XPNbvVLzpE1w6IsjqS03A4HCqtrFN2SZX2lFT+7L/Z+ytVUVOvoV3DNbZfR13Ru4PC2/haHdmlzFrJdAzOLTY8UM+NS9Bv5mfon2t26+6RXa2O5DJ2Fh/S43M3aGNema7p30l/ura32gb4WB0LcBoUMjiF2oZGvb16ty6IC1NibKjVcVq1p6+K15aCcv1m/ib1jAxSfMdgqyO1GIfDoX2HarXnSMnaU1Kl3SWV2lNSqT37q1RR2/Cfr/WwSVGh/uoSHqhx/TsqwMdL327dq2cWbtazn2zWhd3a6aq+HXVFnw4KC+SNx6kUVxxeO3bdAKZjcG43DY7R0sxi/d9XppJ7tGtVr4/nwm536F9rs/Xil9vk7+Op6TcP1NX9OlkdC3A6Noej+cfu6enpjsTExGZ/nrOVmZmp+Ph4q2NAUkpqjp5akKF/3zlEI3u2tzpOq7evolZXv7Favl6eWjRtuFt9kmm3O1RcUavskkpl76/8xcSrqu6/h2R7etgUE+qv2PBAdQkPUJd2geoSHqjY8ABFhwbIx+vnV307HA5tK6rQ4k2FWpxRqN37K+XpYdOF3cI1tm9HXd67g0IpZ7/w/Odb9e7abC19bBSFDE6vtLJOl7+6SmEBPvp02nA2ojiJvANVenLeJn2/q0QX9YrQX6/vq4hgjrJB65aenq7ExMRfnHROIaOQWa7R7tAlf1upQF9PfTYtWTbbL75PYYH1OQc0cdb3urBbO71ze5I8PVznz6XR7lBhWfXhSVdJ5c8mXntKK1VT/9/1Xj6eHooJ8z9StALVpV3AfwpYp7b+8j7Hs3AcDoe2FpZrSUahPt9UqD0lVfL0sGl493a6um9HXdY70q2K7rnaV1GrEf+7TFf17ai/3TTA6jjAGVlhFuv2d9N0V3Kcnr06weo4TsXhcGheep7+9NlWORwO/X5cgm4aHMO/7YBOXsi4ZBGW+2Lz4UnCjFsG8YLtRAZ1DtUfr+mjpxdm6NVvt+vxywyrI/1MQ6NdBQdrjhSu/064du+vVG5pteqO2WTD18tDseGHi9bInu2OFK7Dk65Obf2bpWzabDb17hSi3p1C9MRlhrYUlGtxRqEWbyrUr+dv0tMLD5ezsf066vKEDgoJ8G7yDK7gzVVZqmuw68GLelgdBThjo40I3TYsVv9cs1tjjAgl92hndSSnUFxRo6cXZOjbzGJdEBemlyb0V0wYR9gAp0Mhg6UcDodmLM9S13aBurx3B6vj4DiTh8RoY+5BvbFsp/pGheiyFv4zqm+0K+9A9eHSdeTywqMTr9zSKjUcs9OZv7enYsMD1CMiSJckRKrLkdLVpV2AIoP85GHhhM9ms6lPVIj6RIXo15cb2pxfrs8zCrQko1C//niTnvHMUHL3dhrbr5MuTYhUiH/rKGf7Kmr1/g97dN3AKMVxqSJczG+vjNd3O/friXkb9eUjI1r9xHtJRqGeWZihyrpG/W5svO4cHmfp6y7gSihksNSK7fu0tbBc/3tjP5e6JK61sNls+uO1vbWtqFyPzd2oT6e1Ubf2bZr0OWobGpVbWqXs/cdcXnjkv/kHq9V4TOlq4+ul2PAAJXQM1lV9O/xn0tUlPEDtg3xdYsJqs9nUNzpEfaND9NQVvZSRX6bFmw5f1rh83kZ5e9o0okd7je3bUZf2jlSwn/uWM6ZjcGX+Pp56bdJAXff37/TMws2afvNAl3gNamplVfV6btFmfbKhQP2iQ/S3m/qrewRH1wBng0IGS81cnqWOIX66ju3VnZaft6dmTknUuDfWaOr76frkgeFnfW5MdV2jckqrfnF5Yfb+KhWUVevYpazBfl6KaxeoATFtdd2ATj9b1xUe6ONWb3hsNpv6RbdVv+i2eurKXtqYV6bFmwq0eFOhlm0rls8CD43sefiyxkviIxXkRuXsP9OxAUzH4Lr6RIXosct66n+/NHXxTxG6flC01ZFa1Mrt+/Sbjzdp/6FaPXJJDz0wpvs5r7sFWjMKGSyzLrtUqdml+v3VCb/YrQ7OpVNbf71x80Dd+s9UPTlv4wnX+1XWNhzeNOO49Vx7SqpUVF7zs68NC/RRbHiAhsSFKTY84D/rubqEB7baXQhtNpsGxLTVgJi2evqqeP2Ue1BLjuzW+G1msXy8PDSqZ3td3a+jLo6PdPnDVN9avUt1DXZNu4hzx+Dapo7sphXb9un3n25RUpewVrFmqrK2QS8sydSHP+aoR0QbvXXbYPWNDrE6FuCyXPtfdLi0GSuyFBrgrUlDYqyOgjNwYbd2+u2VvfT84kz9YdEWtQ/y/dmW8fsqan/29e3a+KpLeICGd2/3sy3jO4cHtJo1UufKZrNpUOdQDeoc+p9ytnhToZZkFOqbrXvl4+Wh0T3ba6yLlrP9h2r17++zdd2AKHVt4ktggZbm6WHTyzf115WvrdZjczco5Z5hbn0J/rrsUj0+b6NySqt094g4PX6Zwdb/wHlyrX/F4Ta2FpRr2bZiPX5pTwX48G3oKu5KjlNGfpne+36PJCky2Fex4YG6yIhQbLv/TrpiwwNdriQ4Kw8PmxJjQ5UYG6rfjY3X+pwD+vxIOft66175enlojBGhsf066qJeEQp0gd/3N1cxHYN7iQkL0J+u7a3H5m7UrFVZun+0+31v1zY06m/fbNebq3Ypqq2/Uu4eqgu6hlsdC3ALzv8vN9zSzJVZCvTx1G3DulgdBWfBZrPp1YkD9OglPRUR7EuZbmEeHjYN7hKmwV3C9PurE7RuzwEtyTh8WeOXW4rk5/3zcuaMfz77D9Xq/e/36FqmY3Az4wdGaem2Yv3t6+0a2aO9+kS5zyV8WwrK9NicjTL3VmjykBg9MzaBD92AJsTfJrS47P2VWrypQHeP6Npqz15yZTabTV3YhMFyHh42DYkL05C4MD17dYLWZZdqcUahlmQU6YvNh8vZxb0iNbZfR40xIuTv4xyXFL21apdqGxqZjsHt2Gw2/fm6PkrPPqCHU37S5w+O+P/t3Xl0FFX+/vF30kkIQQJICItsYbuEHRFRCCFsigriNooyOgxuiKIoX0EdHXV0fuoMiOiIKC6gDogiosCAC0gIizBE2cMFAsgum6whZOvfH1WMiIAsSVfS/bzO4djpru5+TltdXZ97b91bbL535yovv4BRqZm88s1aLiwTxXt9WtOxYbzXsUSCjgoyCbg356wnwhfOnUkJXkcRCQq+8DDa1KlImzoVebpHY64P6T0AAB1JSURBVBZt2Mu05duYsWIH05Zvp3Skj86J8VzTtCopHhZnzrVjTu9YYS+fIFIclI+JYtjNzen99kJemJ7B33o28TrSOcvcdYhHPl7K0s376N6sKs/1bBKyky6JFDUVZBJQPx3I5tP0Ldx0SXXiY6O9jiMSdHzhYVxetyKX163Is9c2YeGGPUxbtp0ZK3Ywddl2YqJ8dE6s7BZnlQJ6Mb56xyQUtKsXx51JCbwzdwMdG8bT0ZSsHqWCAj9jF2zkxemrKR3l47VbW9KjeTWvY4kENRVkElBvp60nr6CAfsl1vY4iEvR84WG0rRtH27pxPHttYxZu2MvUZduZsWI7U5Zuo0yUjy6NnOIsuUHRFmd73N6xa5tXU++YBL1HrzTMXbubwROXMeOh9lS8oJTXkc7Ilp+zePSTZSxYv4eOphIv3dhMjaciAaCCTAJmX1YO/164iR7Nq1GzYvCv0yJSnET4wmlXL4529eJ4rmdjFqx3e85W7uDzJdu4oFQEXRLjuaZZNdrXjyv04uyttGO9Y/UL9XVFiqPoSB+v9GpBz3/N4/FJy3nz9lbFelF7v9/PJ+lb+NuUVfj9fl64oSm9Wtco1plFgokKMgmYsfN/JCsnn/tS1Dsm4qUIXzjt61eiff1KPHddExZk/lKcTV6yjbKlIujayJkQJKl+HKUizq8423PoKO/P/5EezatRL169YxIaEqvGMrib4flpGXy8eDO3tK7pdaST2nXwKI9PWs43GT9xacKFDPtD85BY3FqkOFFBJgGRlZPHmPkb6NwwnoZVYr2OIyKuSF84yQ0qkdygEs9f34R563Yzbdl2vly5g0k/bKVstFOcdW9WlaR6lYiKCD/r9xidtoHsvHwGqHdMQkzfdgnMWr2TZ6esok1CxWI3Q+305dv5y+QVHDqax5PXJNK3XQLhQbyotUhxpYJMAmL8os38nJVL/466mF+kuIr0hZNi4kkx8fz9+qbMyzyuOPt+K7HREVzRuArXNKtKu7pxZ1ScOdeObeRa9Y5JCAoPD2PoH5rT7ZU5DJywhIn9LifCd/aNGoVtf1YuT3+xgslLttH0onK8fHNz6lcu63UskZClgkyK3NG8fEbPWU+bhAtpVauC13FE5AxERTiLTHc08fzd7Tmbumw7X67YwcT0LZQrHckV7rDGdvXiiDzFSebotA0cyc1ngGZWlBBVrXxp/n59UwaM/4HXv83koS7e9hTPWbOLwROXsevQUQZ2qc/9Heud8vsrIoGhgkyK3OQftrLjQDYv3dTM6ygicg5KRfjo1LAynRpW5mhePmlrdjNt+Xamr9jBJ+lbKB8TyZWNnJ6zy+tW/N/J3d7DOby/YCM9mlWjXrxa3yV09WhejVmrd/LqrLUkN4ijZc3AN05m5eTx//6TwYffbaJe/AW8dUcrmlUvH/AcIvJbKsikSOUX+BmVup7G1WJJrh/ndRwROU+lIpyp8rs0qkx2bj5pa3czbdk2pi7bxoTFm6kQE0m3JlW4umlV0tbu5khuPg92Vu+YyLM9nUXbH56whGkPtqdMqcCdgi3euJdBnyxl094s7kpK4P+uNAFdg1BETk8FmRSpGSt2sGH3YV6/7WJNnysSZKIjfXRtVJmubnGWumYX05Zt5/Ml2xi/aDOAe+2YesdEYqMjefnm5vQa/R3PT1vFCzcU/aiRo3n5DP96LW/NyaRa+dKMv/syLqtTscjfV0TOzhkVZMaYNsBL1tqUE+7vDQwC8oF3rbVvFHpCKbH8fj+vf7uOOnFl6NakitdxRKQIRUf6uLJxFa5sXIXs3Hxm253Mz9zDPcl1vI4mUmy0qVORe5PrMio1k04NncaMorJy234GfbyU1TsO0qt1DZ7s3ogLAtgrJyJn7ne/mcaYwcDtwOGTPDwUaAwcAlYZYz6y1v5cuBGlpEpds4tV2w/wjxub4dM0uiIhIzrSR7cmVenWpKrXUUSKnUe6NmDOml0M+XQZzWu0J75sdKG+fl5+AaNSMxkxcy3lY6J4t88ldGpYdIWfiJy/M5lWJxO44RSPLQPKAdFAGOAvpFxFyu/30/21NJ6euYNNe7K8jhO0Rs7OpGq5aK5reZHXUURERIqFqIhwRvRqweGjeQyZuAy/v/BOndbvOsRNoxYw9Ks1XNm4Cl8NTFYxJlIC/G4PmbX2U2NM7VM8vAJIx+k9m2St3Xeq18nIyDingEWlS60oRi06SJeXZ9OraXlubFKeKJ96cQrLqp3ZLNqwl3taVyRzrfU6joiISLHS9+IKvLFoF0MnL6J7w9jzeq0Cv58pqw/wXvpeIn1hDEmOJyWhNDs2ZbKjkPKKSNE558HExphmwDVAAs6QxQ+NMX+w1n5ysu0TExPP9a2KRGIitKq2nI9sLu8v2c7crTk817MJ7eppJsDCMHThf6kQE8nAHpcQE6Ux6yIiIsdr2NDPyn3/5Z3v93BDUmPqVjq3hdO37jvCo58sZX7mHlJMJV66sRmVYwt3GKSIFI709PST3n8+KwHuB44AR6y1+cBOoESt+htXJoLXe1/M2L6Xkl/gp/fbC3lw/A/sPJjtdbQSLWP7AWau3smf2yWoGBMRETmJsLAw/nlTM0pH+hj40RJy8wvO6vl+v5+J6VvoNnwOSzfv44UbmvJen9YqxkRKoLMuyIwxtxlj7rHW/gi8Ccw1xswFygNjCjlfQHRoUIkvBybzUOf6zFixg85DUxk7fyP5BSXikrhi543ZmZSJ8vGny2t7HUVERKTYqhwbzQs3NGX51v2M+GbtGT9v96Gj3PNBOv/3yVISq8Yy/aFkbr20ppaXESmhwgrzYtJTSU9P97dq1arI3+dsZWRk/GYo5Ybdh/nr5ytIW7ubpheV4/nrmtC8hlayP1M/7jlMx6Gzuat9HZ64ungNUxURESmOBk9cysT0LUy493Ja177wtNvOWLGdJz5bwaGjeTx6haFvUoJmMhYpIdLT02nVqtVvvrDnM2QxKCXEleH9vpfyr9ta8tOBbK4bOY8nJy9n/5Fcr6OVCG/OWU9EeDh3JSV4HUVERKRE+GuPxlSvEMPDE5ZwMPvk5xv7j+TyyIQl9Pvwe6qVj2bqgCTuTq6jYkwkCKggO4mwsDC6N6vGzEEd6NO2NuMWbqLzsNl89sOWQp2eNtj8dCCbiYu3cNMl1YnXGHYREZEzckGpCIbf0oJt+47wzBerfvN42tpddHtlDp8v3caDnevzWf92NKhc1oOkIlIUVJCdRtnoSJ7u0ZgvHkhyW66Wcuvo71i386DX0Yqld+ZuIK+ggHuT63gdRUREpERpVasCD3Ssx6ffb+E/y7cDkJWTx1OTV3D7O4uIifIx6b62PNK1AZE+nb6JBBNNgXcGmlxUjkn3teWj/27mpRmruWpEGne3r8OATvUpHeXzOl6xsD8rl39/9yPdm1WjVsUyXscREREpcQZ0rk/qml08Pmk54WHw4vTV/Lg3izuTEnj0SkN0pM45RIKRmljOUHh4GLe1qcnMQR24tvlFjJydSdfhqczM+MnraMXC2AUbOZyTz30pdb2OIiIiUiJF+sIZfksLcvIK6Pfh9+Tm+xl312U81b2RijGRIKaC7CzFXVCKYTc3Z8I9l1E60sedYxdzz/uL2brviNfRPJOVk8d78zbQuWE8iVVjvY4jIiJSYtWpdAGv9GrBvcl1mDGwPZfXreh1JBEpYirIzlGbOhX5z0PteeyqhqSt3U2XYamMSs0864Udg8H4RZv5OSuX/h3VOyYiInK+rmxchcevTqRsdKTXUUQkAFSQnYdIXzj9OtTl60eSSaofx4vTV3PNq2ks2rDX62gBk5NXwNtp67k04UJa1Tr92ikiIiIiIvJrKsgKQfUKMYy+4xLevuMSDh/N5+Y3FzDo46XsOXTU62hFbvIPW9m+P5v+unZMREREROSsqSArRF0aVeabRzrQP6UuXyzdSqdhqYxbuImCguBcuyy/wM+o1EwaV4ulQ4NKXscRERERESlxVJAVstJRPgZ3a8j0h9qTWLUsT3y2nBtHzWfltv1eRyt0M1bsYP3uw/RPqUdYWJjXcUREREREShwVZEWkXnxZxt99GcNvac7mvVn0eG0uz05ZycHsXK+jFQq/38/I2euoE1eGbk2qeB1HRERERKREUkFWhMLCwri+ZXVmPpLCbW1qMmb+Rrq8nMrUZdvw+0v2MMY5a3ezctsB7u1QB1+4esdERERERM6FCrIAKBcTyfPXNeWz/u2oVLYUD4z7gTveXcTG3Ye9jnbORn67jiqx0VzfsrrXUURERERESiwVZAHUokZ5Pr8/iWd6NGLJpn1c8cochn+9huzcfK+jnZX0H/eycMNe7k6uQ1SEdiERERERkXOls+kA84WH0addAjMHdaBb4yqMmLmWbq/MYc6aXV5HO2Mjv82kQkwkt15aw+soIiIiIiIlmgoyj8THRvPqrS358M42hIeFcce7i7h/3Pfs2J/tdbTTWr3jADNX76RP2wRioiK8jiMiIiIiUqKpIPNYUv04pg9szyNdG/D1qp/o8nIq78zdQF5+gdfRTuqN2ZmUifLxp7a1vI4iIiIiIlLiqSArBkpF+Hiwc32+fjiZVrUq8NzUVVz7r3l8v+lnr6P9yqY9WUxZuo3el9WifEyU13FEREREREo8FWTFSK2KZRjz59a80fti9h7O4cY35vP4pOXsy8rxOhoAo+ZkEhEezp1JCV5HEREREREJCirIipmwsDCualqVbwZ14M52CXy8eDOdhqXyyeLNnq5dtvNANhMXb+HGVtWpHBvtWQ4RERERkWCigqyYuqBUBE92b8TUAUnUrhjDoxOXccub37Hmp4Oe5Hln7gbyCgro16GOJ+8vIiIiIhKMVJAVc4lVY5nYry0v3diUNTsPcvWINF6YnkFWTl7AMuzPyuXD737kmmbVqFWxTMDeV0REREQk2KkgKwHCw8O4pXVNZg1K4YaLL+LN1PV0GZbKlyt3BGQY49gFGzmck0//lLpF/l4iIiIiIqFEBVkJcmGZKP5xU3Mm9ruc2NKR3PtBOneNXczmvVlF9p5ZOXm8N28DnRrGk1g1tsjeR0REREQkFKkgK4EuqX0hUwYk8ZerE1mwfg9dh6fy+rfryMkr/LXLPlq0mZ+zctU7JiIiIiJSBFSQlVCRvnDuTq7DN490IKVBPP/80nLViDnMz9xdaO+Rk1fA6LT1XFr7Qi6pfWGhva6IiIiIiDhUkJVw1cqXZtTtrXivT2ty8gu4bfRCHp6whF0Hj573a09espXt+7Pp31G9YyIiIiIiRUEFWZDo2DCerx/uwIBO9Zi6bBudhs3mgwUbyS84t0k/8gv8jJqdSeNqsXRoUKlww4qIiIiICKCCLKhER/oYdIVhxsBkml5Ujqc+X8kNI+exfMv+s36tL1fuYP3uw9yXUpewsLAiSCsiIiIiIirIglDdShfw77vaMKJXC7btz6bn63N5+vMVHMjOPaPn+/1+Rs5eR0JcGa5qUrWI04qIiIiIhC4VZEEqLCyMni0uYuagDtx+WS0++O5HOg1N5fMlW3937bK0tbtZsfUA/TrUwReu3jERERERkaKigizIxUZH8mzPJnx+fxLVykfz0EdL+OM7C8ncdeiUz3n923VUiY3m+pbVA5hURERERCT0qCALEU2rl+Oz/u147romLNuyn6teSWPYV5bs3PxfbZf+488s3LCXu9onEBWh3UNEREREpCjpjDuE+MLDuP2yWswalMI1zary2qx1dB2eyrerd/5vmzdmr6N8TCS3XlrTw6QiIiIiIqFBBVkIqlS2FMNvacG4u9sQ5Qvnz2P+S78P0pltd/JNxk76tK1NmVIRXscUEREREQl6OusOYW3rxjH9oWRGp63ntVlrmbFyBzFRPvq0re11NBERERGRkKCCLMRFRYRzf8d6XNu8GkO/srSqVYHyMVFexxIRERERCQkqyASAGhfGMKJXS69jiIiIiIiEFF1DJiIiIiIi4hEVZCIiIiIiIh5RQSYiIiIiIuKRM7qGzBjTBnjJWpty3H1VgI+O26wF8Ji1dlShJhQREREREQlSv1uQGWMGA7cDh4+/31q7A0hxt7kc+DswuvAjioiIiIiIBKczGbKYCdxwqgeNMWHAa8B91tr8wgomIiIiIiIS7H63h8xa+6kxpvZpNukBrLTW2tO9TkZGxllGK3rZ2dnFMpeIiIiIiISGwliH7I/AiN/bKDExsRDeqnBlZGQUy1wiIiIiIhJc0tPTT3p/Ycyy2AqYXwivIyIiIiIiElLOuiAzxtxmjLnHvV0JOGit9Rd6MhERERERkSB3RkMWrbUbgcvc2+OOu38XznT3IiIiIiIicpa0MLSIiIiIiIhHVJCJiIiIiIh4pDBmWTwjp5pVxGvFNZeIiIiIiAS/ML9f83GIiIiIiIh4QUMWRUREREREPKKCTERERERExCMBu4bMa8aY2UA/a+1qr7N4yRhTG1gGfH/c3bOstX87ybazCYHPzBiTAnwL9LLWTjju/mXA99baPh5FKzaMMUOAgUCCtTbb6zxe0H7y+0LlmHEuTvfZGGM2Ag1D4bulY8mvGWMeA7oABYAfeMJaG/IXtxtjEoChQEUgElgKDLHWHjzJtjWB5tbaKYFNGRjub89koKm1drN734vAamvtGA+jecr9XD4GVgFhOPvJK9baj73Mda7UQxaaVllrU47795tiLAStBm499ocxpilQxrs4xU5v4COgl9dBPKb9ROT86FjiMsY0Aq4FulprrwCGAO96m8p7xpjSwBfAP9xzlHbAQmD8KZ7SCWgXqHweyQHeM8aEeR2kmJnl7iMdgCuAIcaYErk+csj0kLnijDFTgGicVpe/WWsnuy3cqUAznBaqntba/R7mDDhjzAtAMk6R/rK19hP3ob8ZY+KAo8Ad7mLgwWgp0MAYU95auw/4I/BvoKYx5gHgBpzWl/3u7duAvjif19PW2pnexC56bitUJjAK+BAY47b2rwYa4rRM3eLefgnnh+Mta+0HXuQtYme7n4wB/m2tnWaMSQSGWmuv8SZ6wDxjjJltrR1ljGkIjLLWpug4C5zis/E6VKCc5ljSz1q72hjTD6hirX3GGPMUcD2wC4gBnrLWzvYkeNHZCdQE+hpjZlhrlxhjLnUbel7FObbuwfmtaQn8BacnrQrOMfZ1j3IXtWuAVGvtwmN3WGvHGmPuM8YY4C0gCsjC+S1+DIgxxsy31n7hSeKiNwvnfON+4F/H7jTGDMJp3MgD5lhrhxhjFgM3WWs3GmP+ACRZax/yInQgWWsPGWPeBG4yxtzCCee0xpg2wAic79VWoLe19oh3iX8t1HrIWgDDrLVdgQdwdmyAWGC8W2FvBa7yKF+gNDLGzD7uX2+c4SPtgI7AX4wx5d1tJ1lrOwFTgMe9Chwgk4Dr3RaoS4H5ON+RikAXa217nJPt1u72P1trk4K5GHPdBbxtrbXAUfegBjDfPZmcADzh3hdtrW0fpMXYMWezn4wG/uQ+ry/wTuDjFhuhdpyV3zrVseRXjDHNcfaP1sB1QNXARQwca+1unB6ydsACY8xqoDvOceN+9/j6H2Cw+5SL3O0vAx42xsQHPHRg1MEp3E+0AVgEvGCtvRx4E2gOvAiMC+Ji7Jj7cP6/13f/LgvcDLR1/9U3xnTH+Z25w92mD87+FCp+Av7Ayc9p3wL+bK1tA3wDJHoX87eCuofMGHMBcNRam+velQY8Zoy5E6eFNvK4zX9w/7sZpwctmK06vlXWGDMYaOW2VILzudRyb89x/zsfp9UqmI0D3gDW4+wr4LRG5gDjjTGHgOr8st/YgCcMMGNMBeBqIN4YMwAoh9OYAU6LHTj7Rk/3dtB/JpzdfjIbeNU9cbqCXwrXoHGS4+zxa6mcOLwmlI6zZ/vZBLXfOZYcc+wzSQQWWWvzgSNui3/QMcbUAw5Ya/u6f1+CU4CVBkY6nUFEAmvcp8y31h51t10B1MXpZQs2W3Eau05UH+ezWQBw7FohY0yfgCXzkLV2jzFmIM7Ii3k4x9Dvjh1fjDFpQGOc36e5xpi3gVhr7QqPInuhFs6oldtPck5b2VqbAWCtHelNvFML9h6ysUCSMSYciAeGA+9ba2/HuTj/+B/EUF6QbTXwrVukdcK5SHK9+9ixg2J7IKi/1Nba9TjXAz2IM5wGnFb966y1twADcL4zx/abgoCHDLw/Au9Ya6+w1nYD2uAUFpWAVu427YCV7u2g/0zOZj+x1vrdbUYAXx13Yh5MTjzOLueXHo2LT9g21I6zZ/PZBLtTHUvy+e1nshJobYwJN8aUwhmuF4yaAW8YY441TqzBGe68DucSgRSc3rFp7uMtjDE+Y0wMzon32gDnDZTPga7GmP8VZcaYu3CGr07DHaVijOntFvcFBP/5LADuxCUWp+crG2hjjIlwR2wkA2ustQeAdJxz3ve8yhpoxpiywN0436GTndNuO9a7aIwZYoy53qusJxPsO/Aw4J84vTxjcLptX3VbEboCcd5FK1amAIfczyUd8B83k9F1bitDV5xhAcFuAlDDWnusRTIPOOy20H4NbAeqeRXOA3cB/xt+aK3NAj7FaansY4xJxek5/bs38TxzNvvJGOBGgne44onH2fHA1caYbwneE+kzpc/mF6c6lswEXjfGfAn43MeW4/QUfQd8BuS6/4KKtXYSTi/6QmPMPOBL4FGcz+p99zf5RZyZkcFp6Z+O0zP/vDvkMehYaw8BPYAnjTHzjDELcQr4W3E+n8fd85LeOL0hy4GexphQmShmIHAEOIhTbMzDGcq5EWc2RnDOd6/C+a0KZp3cS29mAlOBp3GuvzzZOe29wLvueUtLnGNMsRHm94dag6WInC9Nb37mjDEX4fTMd/Y6i0hJ4A7xvclaO9LtIVsJdLLWbvI4mmfcCVH6WWtDpegQCSlBfQ2ZiIiXjDE3As8Ad3ocRaQk2Y0zZPG/OMNc3w7lYkxEgp96yERERERERDwSdD1kxphInIUVawOlgOdxVvEeg9PStgJnOtkCd/t6wGRrbRP37yo4Y5KjcK4D6eOOdRcRERERESlUwTipxx+BPe5aQFfhLKD3MvCke18Y7hTdxpjbgY/49eQejwFj3W1X4VwEKCIiIiIiUuiCsSD7BHjquL/zcKbnTnX/ng50cW//DHQ44fkPAx+60xTXwFlkTkREREREpNAFXUFmrT1krT3orkcwEXiSX9YDAmea0HLutlOttYdPeL4fZ+rdFTgrfM8LWHgREREREQkpQVeQARhjauAs/PyBtXYcv16stiyw73TPt9bmWmsbAfcA7xdZUBERERERCWlBV5AZYyoDXwFDrLXvunf/4K7hAc51ZWmnef5IY0xH98+D/LqYExERERERKTRBN8si8ARQAXjKGHPsWrKHgFeNMVFABs5QxlN5FRhljPkrTjHWvyjDioiIiIhI6NI6ZCIiIiIiIh4JuiGLIiIiIiIiJYUKMhEREREREY+oIBMREREREfGICjIRERERERGPqCATERERERHxSDBOey8iIiHCXWPyY2AVEAZEAq9Yaz8+xfY1gebW2ikBCykiInIa6iETEZGSbpa1NsVa2wG4AhhijGlxim07Ae0CF01EROT0tA6ZiIiUWG4PWT9rba/j7rsHSAAqATWAisB04BlgJRADPABsAF7F6VnbA/S11u4PYHwRERH1kImISND5CWgJfGetvRJIAu6z1uYDLwLjrLVfAKOB+621KcB/gMEe5RURkRCma8hERCTY1ALmA62NMR2BA0Cpk2yXCIw0xoBz7dmagCUUERFxqYdMRESChjGmLHA3sB/YZ63tDQwDYowxYUABv/z2WeAOt4dsMDAt8IlFRCTU6RoyEREpsU6YZTEfZ+THCJxi6yPgIHAY51qyzkC8e//TwFqcYs3nvtyd1lr1komISECpIBMREREREfGIhiyKiIiIiIh4RAWZiIiIiIiIR1SQiYiIiIiIeEQFmYiIiIiIiEdUkImIiIiIiHhEBZmIiIiIiIhHVJCJiIiIiIh4RAWZiIiIiIiIR/4/qGPyZ+V6eMwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "y['2013'].plot(figsize=(15, 6))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ppw7rxWvLtvDwh2s4f/YSjs3qzk0zLI7uF5obf4qISPArdHkAmBHES/K3lYqaSAerqm/ae3Vsn5FFu7SaiuqGb89JiA7HSk/g5KE9yUmL/7aUpcZHGUwu/iYizMn5Y/sx8+jevLhkE498tJaZj3zG1Nw0fj4jh8G9kkxHFBER6VAFLg+5GQn0TYk1HcU4FTWRw1TX2MLasu/eQ1ZSWsW2yv/uRRYbGUZ2WjxTrB5YGQlkpydgpSeQnqi9yKTtoiPCuGzCAM4d3Zc5n23k8Y/XccrDCzllWE9unJZDVlq86YgiIiJHbGdNI8s27uSnU7JMR/ELKmoi7VRaWc9lzy7FtX0Pvtal7yPDnWT1iGfMgJS9V8fSErAyEuidrL3IpOPERYVz7ZQsfjyuP08uWM9TCzfw3srtzDy6D9dPzdanjyIiEtA+dHvw+mDG4AzTUfyCippIO9351irWlVdz/dRscluvkvVPiSU8TEvfS9dIiongphkWFx+TyaPz1/Hc4q9568utnDu6Hz89Pov0xGjTEUVERNqtwOWhV1I0g3slmo7iF1TURNrh/VXbKXB5uO2kXK46bpDpOBLiusdH8atT87l84kD+Om8NL3++iX8s28yF4/tz9eSskF/WWEREAkddYwsL1pRzzqi+uj2klS4BiLTRnvom7nyrmMG9ErlswgDTcUS+lZEUzd1nDmXeTZM5dVgvnlq4gYn3z+OhAps99U2H/gEiIiKGLVhTTn2TV2OP+1BRE2mj+99bTUV1A/fNHKYxR/FL/brH8uCPhlNw4yQmW2k8PG8tE+//iEfmr6W2sfnQP0BERMSQApeHxOhwxgxIMR3Fb+jdpkgbLN24kxeXbOLSYwcwtI+WRBf/lpWWwN8vOJr//GwCI/t34w/v20z6w0c8vXAD9U0tpuOJiIh8R3OLlw/dHo7PTSNCH4Z/S78SIofQ0NzCbW+spHdyDD+fkWM6jkibDemdxNMXj+b1q8eTnZbAXf9xcfwD83n58000tXhNxxMREQGg6Otd7Kpt0tjjflTURA7h0fnrWFtWzd1nDiE2UuvvSOAZ2T+Fl68cx4uXjyUtMZrb3ljJtIc+5l9fbKXF6zMdT0REQlyBy0NkmJNJOT1MR/ErKmoi32NtWRWPfLSOM47qxWQrzXQckSNybFYqb15zDE9dNIrYyHBuePVLTvrLJ7y/qhSfT4VNRES6ns/no9Dl4dis7sRH6QPxfamoiRyE1+vjtjdWEhsVxq9PzTcdR6RDOBwOpual887PJvC380fQ7PXxkxeKOP1vnzLfLlNhExGRLmV7qti0s5bp+Rp73J+KmshBvLx0E0s37uKOk/NIjY8yHUekQzmdDk4d1ouCGybxx7OHsau2kYufWco5jy9myfodpuOJiEiIKCz24HDAtHxNLu1PRU3kADx76rnv3dUcM6g7Z4/sYzqOSKcJD3Pyw1F9mXfTZP7vjMFs3FHDOU8sZtZTS/hq827T8UREJMgVuDyM6JtMWkK06Sh+R0VN5AB++3YxjS1e7jlzKA6Hw3QckU4XGe5k1vhMPrl5CnecnMeqrZWc8fdPufK5Zawu3WM6noiIBKFtu+tYubVSY48HoaImsp+C4lLeW1XK9dOyyUyNMx1HpEtFR4RxxaSBLLjleH4+PYdF63Zw0l8WcN3LX7ChosZ0PBERCSJz3R4AZgxON5zEP6moieyjqr6JO98qJjcjgSsmDjQdR8SY+KhwrpuazYJbpvCT4wZR6PIw7aGPueWfK9i6u850PBERCQIFxR4G9ohjUI9401H8koqayD7++IGNp6qe+84aRkSY/vMQSY6N5JYTc/n45slcOL4/b36xlSl/nM9v3y6mrKredDwREQlQlXVNLF6/gxkaezwovRMVaVX09S6eX/w1Fx+TyVF9k03HEfEraQnR/Oa0wcz/5WTOGtmb5xd/zaQ/fMR9761mV02j6XgiIhJg5ttlNHt9Gnv8HipqIkBjs5fb3lhBz8RobpphmY4j4rd6Jcdw78xhfPjz4zhxcAaPf7KOSX/4iD/PLaGqvsl0PBERCRAFxR56JERxVB99OH4wKmoiwBOfrKPEU83vzxxCfFS46Tgifi8zNY4/nzuC96+fxDFZ3fnz3DVM+sNHPP7xOuoaW0zHExERP9bQ3MJ8u4xpeek4nVpd+2BU1CTkrS+v5uF5azllWE+Oz9Xld5H2sDISeHzWKN7+6bEM7ZPMve+t5rg/fsRzizbS2Ow1HU9ERPzQZ+t2UNPYwox8ve/6PipqEtK8Xh+3vbGS6HAnvzkt33QckYA1rE8yz106hn9cNZ7M1DjufKuYKQ/M5x/LNtPcosImIiL/VejyEBcZxvhB3U1H8WttmvGyLGsscL9t25P3Oz4L+CVQCcyxbfspy7JigBeANKAKuMi27fIOTS3SQV4r2sySDTu5/6yhpCVEm44jEvDGDEjh1SvHsWBNBQ8U2Nz8zxU8Nn8dN0zP4dShPTXiIiIS4rxeH4UuD5OtNKIjwkzH8WuHvKJmWdbNwJNA9H7HU4HfA5OB44ALLMvKBK4GVtq2PRF4DvhVx0YW6RhlVfXc/Y6bsQNS+NGovqbjiAQNh8PBpJwevHXtsTw+ayQRYU6ue/kLTn54AYUuDz6fz3REEREx5KstuymvamC6xh4PqS2jj+uAmQc4PhD40rbtnbZte4GlwDhgAvB+6znvAdM6IqhIR7vr3y7qm73cO3MoDoc+5RfpaA6HgxMGZ/Du9RP5y7lHUd/UwhXPLeOK55aprImIhKgCl4dwp4MpVprpKH7vkKOPtm2/3nqlbH9rgMGWZaWzd8RxKlACJLJ3FJLW40kH+9lut7u9eTtdfX29X+aSjvX5llr+s6KUC4/qRkPFZtwVphOJBLecKPjryem8smIXL35VxpMfLGNC/3jTsUREpIv954vNDEmPZtvXa9lmOoyfO+x1yG3b3mVZ1o3A68AWYDlQAewBElpPSwB2H+xn5OXlHe7Ldxq32+2XuaTjVDc0c9m/PiYnPZ5fnT2OyHCtqSPSVfLzfCwt/YQXVlZz0bSR+u9PRCSErCuvZnPlei4/Loe8vEzTcfxCUVHRQZ877D8hLcsKZ++o4yTgQiAX+LT1r5NbTzsJWHC4ryHSGR4ssNm+p557Zw7Tm0SRLhbmdHDbyXl8vaOWFxZ/bTqOiIh0oUKXB0D3p7VRu9+lWpZ1vmVZV9q23Qw0AkXAx8DDtm1XAI+ydyRyIXAl8LuODCxyJL7cvJs5n21k1rj+jOzfzXQckZA0OacHE7JSeXjeGirrmkzHERGRLlLo8jCkdyK9kmNMRwkIbRp9tG17I3uvnmHb9kv7HP8d+xUx27ZrgR92XESRjtHU4uXW11eQnhDNL0+wTMcRCVkOh4PbTs7l1L8u5JGP1nLbyRo3FxEJdmVV9SzftIsbp+WYjhIwNPclIWP2gvWsLq3irjMGkxAdYTqOSEgb3CuJs47uwzOfbmTzzlrTcUREpJN96C7D59PYY3uoqElI2FhRw1/mruGkIRnMGJxhOo6IADfNyMHphD9+YJuOIiIinazQ5aFvSgy5GQmHPlkAFTUJAT6fjzv+tZLIcCe/PX2w6Tgi0qpnUgxXTBzI219t48vNB10gWEREAlxNQzML11YwIz9De9e2g4qaBL1/Fm3h07U7uPWkXNITo03HEZF9XHXcIFLjI7nnHbc2wRYRCVKflJTT2OzV2GM7qahJUKuobuDud92MzuzGeaP7mY4jIvuJjwrnhmk5fL5xJwWtyzaLiEhwKXB56BYbwSituN0uKmoS1P7vPy5qG1q4d+ZQnE5dahfxR+eO7sugHnHc995qmlq8puOIiEgHamrx8qHbw/G56YSHqXq0h361JGjNt8t468ttXDNlEFlpunFVxF+Fhzm5/eQ8NlTU8PLnm0zHERGRDrR0w0721DczY7DGHttLRU2CUm1jM7/61yqy0uK5evIg03FE5BCOz01j/MDu/HnuGvbUaxNsEZFgUeDyEB3hZFJ2D9NRAo6KmgSlhwpK2LKrjntnDiUqPMx0HBE5BIfDwR2n5LGzppFH568zHUdERDqAz+ej0OVhQlYPYiL1fqy9VNQk6KzcUsnTn27ggrH9GJ2ZYjqOiLTRkN5JzBzRm6cWbmDr7jrTcURE5AgVb9vD1t11Gns8TCpqElSaW7zc+sYKUuOjuOWkXNNxRKSdbjrBAuABbYItIhLwClwenA6YmptmOkpAUlHbh8/no75JK44Fsqc/3UDxtj3cdcZgEqMjTMcRkXbqnRzDZRMG8OYXW1m5pdJ0HBEROQKFLg+j+qfQPT7KdJSApKK2j7e+3Ma5//iahWsqTEeRw7BpRy0PFZYwPT+dEwZnmI4jIofp6smDSImL5O53XdoEW0QkQG3eWYt7+x6NPR4BFbV9TMrpQc+ECC57dimflJSbjiPt4PP5uONfKwl3OrnrjME4HNozTSRQJUZHcMO0bBav38m81WWm44iIyGEodHkAmJ6vona4VNT2kRIXyX0zejKoRzyXP7eMj2y9QQgU//pyKwvWVHDziRY9k2JMxxGRI3TemH4MTI3jnnfdNGsTbBGRgFPgKsVKT6B/9zjTUQKWitp+kqLDeOmKseSkx3PVc0V86PaYjiSHsLOmkf/7j5uj+yXz47H9TccRkQ4QEebk1pNyWVdewytLN5uOIyIi7bCrppGlG3fpatoRUlE7gOTYSF68bBy5PRP4yQtFFBSXmo4k3+P377ioqm/ivrOG4XRq5FEkWEzPT2fMgBT+PLeEKm2CLSISMOatLqPF69P9aUdIRe0gkmIjeP6yseT3SuKaF5fz/iqVNX+0YE05byzfyk+OG0ROeoLpOCLSgRwOB3ecnEdFdSOPf7zedBwREWmjAlcpGYnRDO2dZDpKQFNR+x5JMRE8f9kYhvVJ4tqXlvPuyu2mI8k+6hpbuOPNVQxMjePaKVmm44hIJxjeN5nTh/di9oL1bK/UJtgiIv6uvqmFT0oqmJ6frsXdjpCK2iEkRkfw3GVjGdE3mZ+9/AX//mqb6UjS6s8flrBpZy33zBxKdESY6Tgi0kl+eYKFzwcPfFBiOoqIiBzCwjUV1DW1aOyxA6iotUF8VDjPXjqGkf27cf0rX/DWl1tNRwp5q7ZW8uSCDZw7ui/jBnY3HUdEOlHflFguOTaTN77YQvE2bYItIuLPCl0eEqLCGTtA78+OlIpaG8VFhTPnktGMGZDCja9+yRvLt5iOFLJavD5ue2Ml3WIjue2kPNNxRKQLXDMli6SYCO55161NsEVE/FSL18dct4cpuWlEhqtmHCn9CrZDbGQ4z1w8hvGDunPTa1/x2jItGW3CM59uYOXWSn57ej5JsRGm44hIF0iKieD6qdl8unYH80vKTccREZEDWL5pFztqGrUsfwdRUWunmMgwnrpoNBOyUrn59RW8unST6UghZfPOWh4sKGFqbhqnDO1pOo6IdKELxvYns3ss97yjTbBFRPxRoctDRJiDyVYP01GCgoraYYiOCGP2haOYlN2DW15fyUtLVNa6gs/n41f/WoXTAXf9YIhWEhIJMZHhTm45MZc1ZdW8VqTxcxERf+Lz+SgoLuWYQakkRGviqSOoqB2m6IgwHp81kuNz07j9zZU8v2ij6UhB7+2vtvFxSTm/OMGid3KM6TgiYsCJQzIY2b8bDxaUUNPQbDqOiIi0WltWzcYdtRp77EAqakcgOiKMR398NNPy0vj1W8XM+XSD6UhBa3dtI3f928XwvslcOD7TdBwRMcThcHDHKXlUVDfw+CfaBFtExF8UuDwAKmodSEXtCEWFh/HIBSOZkZ/Ob//t4skFeuPQGe5+x01lXRP3zRxKmFMjjyKh7Oh+3ThlWE9mf7Iez55603FERAQoKC5leN9k0hOjTUcJGipqHSAy3MnfLziak4Zk8Pt33DzxyTrTkYLKZ2sreK1oC1dOGkhez0TTcUTED9xyQi7NXi8PFWgTbBER00or6/lqSyUzdDWtQ6modZCIMCcPnzeCU4b15J53V/PofJW1jlDf1MLtb64ks3ss103NNh1HRPxEv+6xXDQ+k38Ubca9fY/pOCIiIa3QvXfs8YTBKmodSUWtA0WEOfnLOUdx+vBe3P/+av42b43pSAEO/yAQAAAgAElEQVTv4Q/XsHFHLfecOZToiDDTcUTEj/z0+CwSoyO4973VpqOIiIS0QpeHAalxDOoRbzpKUAlvy0mWZY0F7rdte/J+xy8AbgJagKdt23609fgXQGXraRts276kwxL7ufAwJw/9aDhhTgcPFJTQ7PVxw7Qc07ECknv7Hp74ZD1nj+zDMVmppuOIiJ9Jjo3kZ8dn8ft33HxcUs5xOdq3R0Skq+2pb2LRugouPXaAtk7qYIcsapZl3QzMAmoO8PQDwGCgGnBZlvUKUAewf6kLJeFhTh744XCcDgd/nrsGr9fHjdNz9C9vO7R4fdz6xkqSYiK44+Q803FExE/NGt+fZxdt5N533UzIStViQyIiXWy+XU5Ti0+rPXaCtow+rgNmHuS5FUASEA04AB8wHIi1LKvAsqx5lmWN65CkASbM6eCPZw/jR6P68PC8tTxQYOPz+UzHChjPL9rIV5t3c+dp+XSLizQdR0T8VFR4GLecmMvq0ipe1ybYIiJdrtDlITU+khH9upmOEnQOeUXNtu3XLcvKPMjTq4Ai9l5te8O27d2WZdWy90rbk0A28J5lWZZt2/+zM6nb7T7s4J2lvr6+Q3NdlB/BnsoE/v7ROsrKK7jk6BRdWTuE8ppm7n9vM6N6x5AdWYnbrYUCROTgBob7sFKjuP/dYrKj9hAdoduvRUS6QlOLjw9d25mUGU+JrfuFO1qb7lE7EMuyhgGnAAPYO/r4gmVZPwTeBtbatu0DSizL2gH0BDbv/zPy8vxvpM3tdnd4rkdyfdz59ipeWLyJ5G4p3H5yrsraQfh8Ph54dhk4nPzpgnH0TYk1HUlEAsDdsRmc/dgiFpRHaoVYEZEu8klJObVNG/jhMRZ5eRp9PBxFRUUHfe5IPnasZO/9aHW2bbcAZUA34FLgQQDLsnoBicD2I3idgOd0Ovi/M4Zw0fj+zF6wgbv+49IY5EG8u7KUD1eXcdOMHJU0EWmzUZkpnDQkg8c+XkdZlTbBFhHpCgWuUmIjwzhWi751inYXNcuyzrcs60rbtr8GHgcWWpa1EEgG5gBPAcmtx14FLj3Q2GOocTgc/Pb0wVxybCbPfLqR375drLK2n8raJn7zdjFDeydx8TGZpuOISIC55cRcGpu9/KlQW6OIiHQ2r9fHXFcZk7J7aAulTtKm0UfbtjcC41q/fmmf448Bjx3gW87viHDBxuFwcOep+YQ5HDy5cAMtPh93nT4Ep1YpA+C+993sqm1kziWjCQ/TPSYi0j6ZqXF7V4H8bCOXHJtJTnqC6UgiIkFr5dZKSvfUM0ObXHcavRvuYg6HgztOyeOq4wbywuJN3PGvVXi9urK2eP0OXv58M5dPGMCQ3kmm44hIgLru+GziosK5913/W6xKRCSYFLhKCXM6OD43zXSUoKWiZoDD4eDWE3O5dsogXv58E7e+sSKky1p9Uwu3v7GSvikx2hxcRI5It7hIfjoli4/scj5dW2E6johI0Cp0eRiTmUJyrLZR6iwqaoY4HA5+McPiuuOz+MeyLfzynytoCdGy9shHa1lfUcM9Zw4lJlIzziJyZC46JpPeyTHc/Y47pD8EExHpLBsraijxVGvssZOpqBnkcDj4+QyLG6Zl8/ryLfzita9CrqyVeKp49ON1zBzRm4nZPUzHEZEgEB0Rxs0nWri27+HNL7aajiMiEnQKXR4ApuerqHUmFTU/cMO0HG6ansObX2zlxle/pLnFazpSl/B6fdz6+grio8L51an5puOISBA5bVgvhvdJ4oECm7rGFtNxRESCSoGrlPyeifTppq2UOpOKmp/42dRsbj7R4u2vtnH9q1/SFAJl7cUlX7N8025+fWo+KXGabxaRjuN0Orj95Dy2V9bz9KcbTMcREQkaFdUNLPt6l8Yeu4CKmh+5ZnIWt5+cyzsrtnPdy18EdVnbXlnH/e/bTMxO5cwRvU3HEZEgNHZgd2bkp/PIR2spr2owHUdEJCjMc5fh82nssSuoqPmZKycN4len5PHeqlKufXE5jc3BWdZ+81YxzV4vd/9gKA6H9pETkc5xy0m51Dd7+cuHJaajiIgEhQJXKb2TY8jvmWg6StBTUfNDl08cyG9Oy6fA5eGaF4toaA6u+yveX7WdApeHG6fl0K+7ZptFpPMM6hHPBWP78fLnm1lbVmU6johIQKttbGbBmgqm56frg/YuoKLmpy45dgB3nTGYue4yrn5hOfVNwVHW9tQ3cedbxeT3TOSyCQNMxxGREHD91GxiIsK4773VpqOIiAS0T0oqaGj26v60LqKi5scuHJ/J3WcOYd7qMq56vigoytr9762morqB+88aRniY/vUTkc7XPT6Ka6YMYq67jEXrdpiOIyISsApcpSTFRDAmM8V0lJCgd8p+7oKx/blv5lA+WVPOFc8tC+iytnTjTl5csolLjx3A0D5JpuOISAi59NgB9EqK5p53tQm2iMjhaG7xMm91GVNz0/RhexfRr3IAOHdMP+4/axgL11Zw6ZylAbknUENzC7e9sZLeyTHcOD3HdBwRCTHREWH88kSLlVsrefurbabjiIgEnKUbd7G7tkljj11IRS1A/GhUXx44eziL1u/gkjmfU9vYbDpSuzw6fx1ry6r5/ZlDiIsKNx1HRELQGcN7M6R3In/8wA7o6QQRERMKXR4iw51MzO5hOkrIUFELIGeN7MOffnQUn2/YycVPL6WmITDK2tqyKh75aB2nD+/FFCvNdBwRCVHfbIK9dXcdz3y60XQcEZGA4fP5KHCVMjErVR+4dyEVtQDzgxG9+fO5IyjatIuLnv6caj8va16vj9veWElsVBh3npZvOo6IhLhjBqUyNTeNRz5ay45qbYItItIW7u1VbNlVp7HHLqaiFoBOH96Lh88dwRebd3PhU0vYU99kOtJBvbx0E0s37uKOk/NIjY8yHUdEhNtOzqW2qYWHP1xjOoqISEAodHlwOOD4XBW1rqSiFqBOGdaTv58/ghVbKpn11OdU1vlfWfPsqee+d1dzzKDunD2yj+k4IiIAZKUlcO7ovry4ZBPry6tNxxER8XsFrlJG9utGjwR96N6VVNQC2IlDevLIBUfj2lbJrKeWUFnrX2Xtt28X09ji5Z4zh2r3ehHxKzdMyyEq3Mn972sTbBGR77N1dx3F2/YwPV9X07qailqAmzE4g8d+PJLV26u44KnF7K5tNB0JgILiUt5bVcp1U7PJTI0zHUdE5Dt6JERx9eRBfFDs4fMNO03HERHxW4XFpcDe95zStVTUgsDUvHQenzWSEk81589ews4as2Wtqr6JO98qJjcjgSsnDTSaRUTkYC6bMJCMxGjufselTbBFRA6i0O0hOy2eAfrgvcupqAWJKblpzL5wFGvLqzl/9mKjq5k98IGNp6qee2cOJUI714uIn4qJDOOmGTl8taWS/6zcbjqOiIjfqaxtYvH6nRp7NETvooPIcTk9ePqi0WyoqOG82Yspr+r6slb09S6eW/w1F43PZES/bl3++iIi7THz6D7k9Uzk/vdWaxNsEZH9zLM9tHh9Gns0REUtyEzITuWZi0ezaWct581eTFlVfZe9dmOzl9veWEHPxGh+cYLVZa8rInK4wpwO7mjdBPu5RRtNxxER8SuFLg9pCVEM651kOkpIUlELQsdkpTLnkjFs3VXHuU8sxrOna8raE5+so8RTzf/9YAjx2rVeRALEhOxUJls9+Nu8tewyfI+viIi/qG9qYb5dzvT8dJxOrd5tgopakBo3sDvPXjqG0sp6zn1iMaWVnVvW1pdX8/C8tZwyrCdT8zTHLCKB5baT8qhuaOav89aajiIi4hcWrdtBbWOLxh4NUlELYmMGpPDcpWMor2rgnCcWsW13Xae8js/n47Y3VhId7uQ3p+V3ymuIiHQmKyOBc0b35fnFG9lYUWM6joiIcQWuUuKjwhk3MMV0lJClohbkRmWm8NxlY9hZ3cg5Tyxiy67aDn+NfyzbzJINO7n95DzSEqI7/OeLiHSFG6flEBHm5A8faBNsEQltXq+PQlcZk60eRIWHmY4TslTUQsDR/brx/OVj2V3bxDmPL2bzzo4ra2VV9dz9jpuxA1I4Z3TfDvu5IiJdLS0xmqsmDeLdlaUUfa1NsEUkdH2xeTcV1Q1alt8wFbUQcVTfZF68fCxV9U2c+8RiNu3omLJ2179d1Dd7uWfmUBwO3WgqIoHtikkDSEuI4vfvuPH5tAm2iISmAlcpEWEOpuSmmY4S0tpU1CzLGmtZ1vwDHL/AsqzllmUttSzr6tZjTsuyHrMsa5FlWfMty8rq4MxymIb1SealK8ZR09jMOU8sOuL7MOat9vCfFdv52ZQsBvWI76CUIiLmxEaGc9OMHL7YtJt3V5aajiMiYkShy8O4gd1JjI4wHSWkHbKoWZZ1M/AkcKCbjx4ApgHHAjdZltUN+AEQbdv2eOBW4MGOiytHakjvJF66fBz1TS2c88Qi1pdXH9bPqWlo5ldvriInPZ6rjhvUwSlFRMw5e2RfrPQE7n9/NY3NXtNxRES61NqyataX1zBDY4/GteWK2jpg5kGeWwEksbfEOQAfMAF4H8C27cXAqCOPKR0pv1ciL185juYWH+c8sZi1Ze0vaw8U2GzfU8+9M4cRGa4JWhEJHmFOB7efksemnbU8v/hr03FERLpUgWvvNME0FTXjDrkrsW3br1uWlXmQp1cBRUAN8IZt27sty0oEKvc5p8WyrHDbtpv3/2a3230YkTtXfX29X+bqDHdPTePWgu388JGF3HtCT/onR7bp++zyeuZ8uo1TrURia0txuzUeJCLBJQ04ulcMfypYzdD4GhKitOqZiISGt4u2kt09it3bNrJ7m+k0oe2QRe1gLMsaBpwCDACqgRcsy/ohsAdI2OdU54FKGkBeXt7hvnyncbvdfpmrM+QBWVkDOW/2Eu6YW8ZLV4zDykj43u9pavFy4wcLSU+M5p7zxpGg2WURCVJ3J/fm5IcXULjVyR2nhMafCyIS2sr21LO6fD2/mJFDXl626Tghoaio6KDPHcnMWiVQB9TZtt0ClAHdgE+BkwEsyxoHrDyC15BOlpWWwCtXjiPM6eC82Ytxb9/zvefPXrCe1aVV3HXGYJU0EQlqeT0T+eHIPjz72dcdtlKuiIg/m+suA2DG4AzDSQQOo6hZlnW+ZVlX2rb9NfA4sNCyrIVAMjAHeBOotyzrM+BPwI0dmFc6waAe8bx61Xgiw5ycN3sxxdsqD3jexooa/jJ3DScOztB/wCISEn4+3cLpRJtgi0hIKHCV0r97LNlpWs3bH7Rp9NG27Y3AuNavX9rn+GPAYwf4lp90RDjpOgNS43j1qnGc98Rizp+9hBcvH8uQ3knfPu/z+bjjXyuJDHPyuzMGG0wqItJ1MpKiuXLiQB6et5bLJuxiRL9upiOJiHSK6oZmPlu7g4uO6a+9cf2EluuTb/XvHserV40nPiqc82cv5qvNu7997p9FW/h07Q5uOSmX9MQD7dQgIhKcrjxuEKnxUdzzrjbBFpHg9bFdTmOLl+n5mpryFypq8h19U2J55cpxJMZE8OMnl/DFpl1UVDdw97tuRmd24/wx/UxHFBHpUvFR4fx8eg5LN+7ig2KP6TgiIp2iwFVKSlwkI/trcsBfqKjJ/+ibEsurV42nW1wks576nJ++tJyahmbunTkUp1OXwkUk9PxoVB+y0+K57z23NsEWkaDT1OJl3uoypuamEab3en5DRU0OqHdyDK9eNY7U+EgWr9/JNZOzyEr7/qX7RUSCVXiYk9tPzmPjjlpeWqJNsEUkuCxZv5Oq+mYtFudnVNTkoHomxfDqVeP5zWn5XDNlkOk4IiJGTbZ6cGxWd/7y4Roq65pMxxER6TCFrlJiIsKYmJ1qOorsQ0VNvld6YjSXHDuAqPAw01FERIxyOBzcdlIeu+uaeGT+WtNxREQ6hM/no8DlYWJ2KtERer/nT1TURERE2mhI7yTOHNGbZz7dyJZd2gRbRALfqq172F5Zr7FHP6SiJiIi0g6/mGHhAB74wDYdRUTkiBW6SnE64PjcNNNRZD8qaiIiIu3QKzmGyycO4F9fbmPFlt2H/gYRET9W4PIwOjOFlLhI01FkPypqIiIi7fST4wbRPS6Su9/RJtgiErg27ahldWmVxh79lIqaiIhIOyVER3DD9ByWbNjJXHeZ6TgiIoelwFUKwIz8dMNJ5EBU1ERERA7DuaP7MqhHHPe+56apRZtgi0jgKXB5yM1IoG9KrOkocgAqaiIiIochIszJrSflsb68hlc+32Q6johIu+ysaWTZxp26mubHVNREREQO07S8NMYOSOHPc9dQVa9NsEUkcHzo9uD1ofvT/JiKmoiIyGFyOBzccUoeO2oaeezjdabjiIi0WaHLQ6+kaAb3SjQdRQ5CRU1EROQIDOuTzA+O6sWTCzawbXed6TgiIodU19jCJ2vKmZ6fjsPhMB1HDkJFTURE5Aj94gQLH/BAgTbBFhH/t2BNOfVNXo09+jkVNRERkSPUp1sslx47gDe/2MqqrZWm44iIfK9Cl4fE6HDGDEgxHUW+h4qaiIhIB7hmyiCSYyK0CbaI+LUWr48PV5dxfG4aEWGqAv5MvzsiIiIdIDE6guunZrNo/Q4+srUJtoj4p6Kvd7GzplFjjwFARU1ERKSDnD+2PwNS47jn3dU0axNsEfFDBcWlRIY5mZTTw3QUOQQVNRERkQ4SGe7klhNzWVtWzT+WbTEdR0TkO3w+HwUuD8dmdSc+Ktx0HDkEFTUREZEOdMLgdEZnduOhwhKqG5pNxxER+VaJp5pNO2uZnq+xx0CgoiYiItKBHA4Ht5+cR0V1A09oE2wR8SMFxaU4HDAtP810FGkDFTUREZEONqJfN04b3osnFqyntLLedBwREQAK3R5G9E0mLSHadBRpAxU1ERGRTnDzCRZeLzyoTbBFxA9sr6xjxZZKjT0GEBU1ERGRTtA3JZaLj83kn8u34Nq2x3QcEQlxc10eAGYMTjecRNpKRU1ERKSTXDs5i8ToCO59z206ioiEuAKXh4E94hjUI950FGkjFTUREZFOkhQbwXVTs1mwpoKPS8pNxxGREFVZ18SidTuYobHHgKKiJiIi0olmjetP/+6x3POOmxavz3QcEQlB8+0ymr0+jT0GGBU1ERGRTvTNJti2p4p/Fm02HUdEQlCBy0OPhCiO6pNsOoq0Q5u2JLcsayxwv23bk/c5lgG8ss9pRwG3Ao8DW4A1rccX2bZ9W4ekFRERCUAnDcng6H7JPFhQwqnDehEX1aY/fkVEjlhDcwsf2+WcNrwXTqfDdBxph0P+SWFZ1s3ALKBm3+O2bZcCk1vPGQ/cDcwGBgHLbds+raPDioiIBCKHw8Edp+Rz1qOfMXvBem6YlmM6koiEiEXrdlDd0MyMfI09Bpq2jD6uA2Ye7EnLshzAX4GrbdtuAUYCvS3L+siyrHcty7I6JqqIiEjgGtm/G6cM7cnjH6+nbI82wRaRrlHg8hAXGcb4Qd1NR5F2OuQVNdu2X7csK/N7TjkNKLZt+5sdPbcD99q2/ZplWROAF4DRB/pGt9v/liuur6/3y1wiIhL4ZmaF80FxC3e+9jnXH9PDdBwRCXJen4/3V2zl6J7RbFhbYjqOtFNHDMn/GPjLPo+XAc0Atm0vtCyrt2VZDtu2/2epq7y8vA54+Y7ldrv9MpeIiAS+PODCsnDmfLaBG08ZgZWRYDqSiASxLzbtYmfdBs4al01eXm/TceQAioqKDvpcR6z6OBL4bJ/HvwFuALAsaziw6UAlTUREJBT97Pgs4qPCtQm2iHS6QpeHcKeDKVaa6ShyGNpd1CzLOt+yrCtbv+4BVO1XxO4DjrMs62PgIeDijggqIiISDLrFRfKz47OZb5ezYI02wRaRzlPg8jB2YApJsRGmo8hhaNPoo23bG4FxrV+/tM/xcvYuy7/vubuAUzouooiISHC58Jj+PLtoI3e/4+ad61IJ05LZItLB1pdXs7asmlnj+puOIodJG16LiIh0sajwMG45MZfVpVW8sXyL6TgiEoQKXR4ApmtZ/oCloiYiImLAqcN6clTfZB4osKlrbDEdR0SCTIHLw5DeifRKjjEdRQ6TipqIiIgBezfBzsOzp4EnF6w3HUdEgkh5VQPLN+1iRn6G6ShyBFTUREREDBmdmcIJg9N59ON1uLfvMR1HRILEh24PPp/GHgOdipqIiIhBvz19MInREVzyzFK27a4zHUdEgkChy0PflBhytVdjQFNRExERMahnUgxzLh1NTUMzFz/zOZV1TaYjiUgAq2loZsHaCmbkZ+BwaEXZQKaiJiIiYlhuRiKPzxrJhooarnp+GQ3NWlxERA7PJyXlNDZ7NfYYBFTURERE/MAxWan88ezhLF6/k1++tgKv12c6kogEGJ/Px9tfbaNbbASj+nczHUeOUJs2vBYREZHO94MRvdlWWccf3rfplRzDrSflmo4kIgHkocIS3ltVyk+nZBEepusxgU5FTURExI9cfdwgtu2u47GP19ErOZoLx2eajiQiAeAvc9fw13lrOXd0X34+Pcd0HOkAKmoiIiJ+xOFw8NvTBlNaWc9v3y4mIzGaGYO1F5KIHNzf5q3hT3NLOHtkH+45cyhOpxYRCQa6JioiIuJnwsOcPHzeCIb2Sea6V75g+aZdpiOJiJ967ON1PFBQwswRvbn/rGEqaUFERU1ERMQPxUaG89RFo0hPjObyZ5exoaLGdCQR8TNPLljPfe+t5vThvfjjD4cTppIWVFTURERE/FRqfBTPXjIGgIuf+ZyK6gbDiUTEXzzz6QZ+/46bU4b25KEfqaQFIxU1ERERP5aZGsdTF43Cs6eey+Yspbax2XQkETHs+UUb+d2/XZwwOJ0/n3uUVngMUvpdFRER8XMj+nXjr+cdzcqtlfzspS9obvGajiQihry0ZBO/fquYaXlp/PW8o4lQSQta+p0VEREJANPz0/ndGUP4cHUZd75djM+nDbFFQs0/lm7m9jdXMsXqwd8vOJrIcL2VD2Zanl9ERCRAzBrXn22763h0/jp6J8dw7ZQs05FEpIu8XrSFW95YwcTsVB798UiiwsNMR5JOpqImIiISQH45w2L77jr++IFNz6RoZh7dx3QkEelkb325lV/+8yuOGdSd2ReOIjpCJS0UqKiJiIgEEKfTwR/OHk5ZVQM3/3MFaQnRTMhONR1LRDrJf1Zs48ZXv2TMgBSevHC0SloI0WCriIhIgIkMd/LYrJFkpcXzkxeKcG3bYzqSiHSC91Zu5/pXvmRU/xSeumg0MZEqaaFERU1ERCQAJUZH8Mwlo4mPCueSOZ+zbXed6Ugi0oEKikv52ctfcFTfZJ6+ZDRxURqECzUqaiIiIgGqZ1IMcy4dTW1DCxc/8zmVdU2mI4lIB/jQ7eHal5YzpHcSc1o/kJHQo6ImIiISwHIzEnl81kg2VNRw1fPLaGhuMR1JRI7AfLuMq19YTl7PRJ69dAwJ0RGmI4khKmoiIiIB7pisVP549nAWr9/JL19bgderPdZEAtHCNRVc+XwR2enxPHfpGJJiVNJCma6jioiIBIEfjOjNtso6/vC+Ta/kGG49Kdd0JBFph8/WVXDZs0sZmBrHC5eNJTk20nQkMUxFTUREJEhcfdwgtu2u47GP19ErOZoLx2eajiQibbBk/Q4um7OM/t1jefHysXSLU0kTFTUREZGg4XA4+N3pQyitbOA3bxeTnhjNCYMzTMcSke+xbONOLpmzlF7J0bx4+Ti6x0eZjiR+QveoiYiIBJEwp4O/njeC4X2Sue7lLyj6epfpSCJyEMs37eLiZ5aSkRjNy1eMo0eCSpr8l4qaiIhIkImJDOOpi0bRMymay59dyvryatORRGQ/X23ezUVPfU73+EheumIcaYnRpiOJn1FRExERCULd46OYc8kYHA4HFz+zlIrqBtORRKTVqq2VzHpqCclxEbx8xTgyklTS5H+16R41y7LGAvfbtj15n2MZwCv7nHYUcCvwLPACkAZUARfZtl3eUYFFRESkbTJT43jqolGcN3sxl81ZystXjiM2Ureni5j0/+3deXxU9b3/8dckIQkQNkF2ARX9iKKAEaG4oVWrtu5aRUA2F6xa7a2VWvVq/em92qrXrSqCglUR11ulLvXWhaoIakRRlg9W1FpA2SSEwGSd3x/nBEJMWMOcYeb9fDx4zMyZM8nH48mZ8z7f5cxbsoahE2fRIj8IaZ1bN426JElRW2xRM7OrgYnAJlHf3b9198FheLsG+AiYAFwCfOruRwB/Bq5r7KJFRERk6/Tr1oZ7hxzMp4uLuXzKbCqrqqMuSSRjLfh2DUMnzqR5bjZPXjiQrm2aRV2SpLCt6fr4BXBGQ2+aWQy4F7jE3auAw4FXw7dfAY7d0SJFRERk+x23fwduOrU3ry9Yxn++OJdEQjfEFkm2z78rYeiEWeTmZDHlwoF0a6uQJpu3xf4P7v6cmfXYzConA3Pd3cPXLYHi8HkJ0KqhD86fP38ry0yeeDyeknWJiIjsiMJW8PPerZky61/kVpRwzoFtoi5JJGN8U1zOuFeXQgxuPq4T65f/i/kaGCRb0Bgd1YcBd9d6vQZoET5vAaxu6IO9evVqhF/fuObPn5+SdYmIiOyoWy1B+dMfM/mjJRzUsxtnHNw16pJE0t6XK0q57vn3yM7JZupFP6Jn+4KoS5IUUlRU1OB7jTHrYyEwo9brd4GTwucnAm83wu8QERGRHZSVFeMPZ/Vh0N5tufrZObzz+YqoSxJJa1+vLGXIQzOprE4w5cKBCmmyTbY5qJnZeWZ2Ufh8d6DE3Wt3dn8AOMDM3gEuAn7fKJWKiIjIDsvNyeLB4YX0bF/A2MeLmLdkTdQliaSlb1at47wJs4hXVvHEBQPYt0OLLX9IpJZYVAOKi4qKEoWFhZH87s1R10cREckES4vXc/qfZpAgwf/+4jBNES7SiBavXs8549+jJF7JExcMoJP4pcIAABbbSURBVHeXBqdskAxXVFREYWFhrL73dMNrERGRDNSpVVMmj+7PurIqRk56n+L1FVGXJJIWlhavZ8hDMyleX8HjYxTSZPspqImIiGSo/Tq2ZPzwQr5cUcrFj31IWWVV1CWJ7NK+WxNnyEMz+b60nMfGDODArgppsv0U1ERERDLYoJ7tuP3sPsxctIqrnplDdbXusSayPZaVxBkyYSbLS8qYPPpQ+u7ROuqSZBfXGNPzi4iIyC7s1L5dWLI6zm2vLqBz63yuOVFjtUW2xYq1ZZw3YRbfFsd5dPShFHbXfQplxymoiYiICGOP2oslq9czfvoiOrdqyohBPaIuSWSXsKq0nKETZvHv79cxedSh9O+xW9QlSZpQUBMRERFisRg3nnIA366Jc+O0uXRomc8JvTtGXZZISlu9rpyhE2fx1cpSJo3sz8C92kZdkqQRjVETERERALKzYtxzbj/6dG3NFVNnU/T191GXJJKyitdVMOzhWXyxfC0Tzj+EQT3bRV2SpBkFNREREdmgaW42D484hE6t8rng0Q9YtHxt1CWJpJw18QrOf2QWC79dy/jhhRy57+5RlyRpSEFNRERENtG2II/Jow4lFosxctIHrFhbFnVJIimjJF7BiEfeZ97SNdw/9GCOtvZRlyRpSkFNREREfqBHu+Y8POIQlpXEGTP5A9aVV0ZdkkjkSssqGTXpAz79dzH3nXcwx+7fIeqSJI0pqImIiEi9+nVrw71DDubTxcVcPmU2lVXVUZckEpl15ZWMmvwBs79ZzT1D+vGTAzTZjuxcCmoiIiLSoOP278BNp/bm9QXLuP6FuSQSuiG2ZJ715VWMmfwhH361irvO6ctJB3aKuiTJAJqeX0RERDZr2MDuLFm9nvvf+oKubZpy6dE9oy5JJGniFVVc+OcPmfnlSv7n5305uU/nqEuSDKGgJiIiIlv0m58YS4vj/PFvTseW+ZxZ2DXqkkR2unhFFRc/VsS7X6zgj2f14bR+XaIuSTKIgpqIiIhsUSwW47YzD2JZSZxxz82hfcs8jthHU5JL+iqrrOIXT3zE9IXLue3MAzlLFyckyTRGTURERLZKbk4WDwwrpGf7Ai55/CPmLVkTdUkiO0VFVTWXTZnNGwuWccvpvTmnf7eoS5IMpKAmIiIiW61lfhMmjepPi/wcRk1+n8Wr10ddkkijqqiq5pdPzub/5n3HTacewNAB3aMuSTKUgpqIiIhsk06tmjJ51KGsK69i1KT3KV5fEXVJIo2isqqaK5/6mFc++5b//Nn+nP+jHlGXJBlMQU1ERES2mXVswfjhhXy5opSLH/uQssqqqEsS2SFV1Ql+/cwnvDRnKdee1IvRh+8ZdUmS4RTUREREZLsM2rsdt5/dh5mLVnHVM3OortY91mTXVFWd4DfPfsILHy/h6hOMC4/cK+qSRDTro4iIiGy/U/t2YcnqOLe9uoDOrfO55sReUZcksk2qqxNc8/wcnv9oMb8+bl9+MVj3CZTUoKAmIiIiO2TsUXuxZPV6xk9fROdWTRkxqEfUJYlslerqBNf+5TOe/vDf/PLH+3D5j/eJuiSRDRTUREREZIfEYjFuPOUAvl0T58Zpc+nQMp8TeneMuiyRzUokEtzw4lyefP9fXHr03vzqWIU0SS0aoyYiIiI7LDsrxj3n9qNP19ZcMXU2RV9/H3VJIg1KJBL8fto8Hpv5NRcfuRdXHW/EYrGoyxLZhIKaiIiINIqmudk8POIQOrXK54JHP2DR8rVRlyTyA4lEgltems/kGV8x5vA9+e2J+ymkSUpSUBMREZFG07Ygj0dHH0pWLMaISe+zvKQs6pJENkgkEtz2qjPxnS8ZOagH1/20l0KapCwFNREREWlU3ds25+GR/VleUsaYRz9gXXll1CWJkEgkuOO1hTw4/QuGDezGDSfvr5AmKU1BTURERBpd3z1ac9+Qg/lscTGXTZlNZVV11CVJhrv79c+5781/cm7/PbjplN4KaZLyFNRERERkpzh2/w78v9N688aCZVz/wmckErohtkTjvjc+566/f85ZhV35r9MPJCtLIU1Sn6bnFxERkZ1m6IDuLFm9nj+9+QVdWjflsmM0Bbok14PTv+D21xZyRr8u3HbmQQppssvYqqBmZgOA29x9cJ3l/YE7gRjwLTDM3eNmNhsoDlf70t1HNV7JIiIisiu56nhj6eo4t7+2kE6tmnJmYdeoS5IMMfHtRdz6ygJO6dOZP57dh2yFNNmFbDGomdnVwHCgtM7yGDABOMvd/2lmFwDdzexrgLqhTkRERDJTLBbj1jMP4ruSOOOem0P7lnkcsc/uUZclaW7Su19y80vz+emBnbjz5wppsuvZmjFqXwBn1LN8X2AlcKWZTQd2c3cH+gDNzOw1M3vDzAY2XrkiIiKyK8rNyeKBYYX0bF/AJY9/xLwla6IuSdLYY+99xe+nzeMnB3TgrnP7kpOtaRlk1xPbmoG9ZtYDmOruA2stOwz4O1AIfA78FfgDsAwYCEwE9gFeAczdN5mbt6ioKNGsWbPG+a9oRPF4nPz8/KjLEBERSUvLSyv5j5cXk0jAnSd1oX2BhstL43p54RrufW8FA7o249rBHWiSrZY0SV3r1q2jsLCw3p10R46OK4F/uvs8ADN7lSC03R0uTwALzWwl0An4pu4P6NWr1w78+p1j/vz5KVmXiIhIOugFPNG1B2c9OIOb317Fs2MH0apZk6jLkjTx9AffcO97izjadufB4YXk5WRHXZLIZhUVFTX43o60Ay8CCsysZ/j6CGAuMBq4A8DMOgMtgaU78HtEREQkjVjHFowfXshXK0u56LEPKausirokSQPPFf2bcc/P4Yh92vHAMIU02fVtc4uamZ0HFLj7Q2Y2BpgSTiwyw91fMrNcYLKZvQMkgNF1uz2KiIhIZhu0dztuP7sPV0z9mKuemcPd5/TVtOlAVXWC79eVs3JtOSvXlrGiNHhcubacVevKyY7FyG+SRX6TbPJyNj7m1Xpd9738Td7LIi8nO+0m1njh48Vc9ewnDNq7LRPOP4T8JgppsuvbqqDm7l8RjDvD3afUWv4GcGiddcuB8xqvRBEREUlHp/btwtLiOLe+soDOrfK55qT0G3qQSCQoKavcGLzWlrOytIxVa8tZWVrOijCErSzdGMbqmz4gKwZtmuVSnUgQr6gmXllV73pbq0l2jLycjcEtr0kW+Zt5zG8ShMH8WqGw5nW9wXDD5zZ9b2eE8WmfLOFXT33MgD13Y+L5/RXSJG1oBK+IiIhE5uIj92LJ6vWM/8ciOrXKZ+Rhe0Zd0hbFK6pYVRq0eq0IA9bKtWX1Bq+Va8spr6qu9+e0zM+hXUEebQty2atdAf175NK2II+2zXNpW5BL2+Z5tCsIlrVu2mSTkJNIJKioSlBWWUW8onrDY7yiirLKasrCx3itx43Pq3/wudqPZRXVrCotpywMhDWPNZ/fkYCYm51VpwWwgaBXp3Uwr4HWwWVryrjl5fkc0n03Hh7Rn6a5CmmSPhTUREREJDKxWIwbTj6ApcVxfv/XeXRs1ZQTendMag013Q1X1Q5aG4LXxuc1XRBLyuof0ZGXk7UheO1ekMd+HVvStiCXds2DZTUhrF1BHm2aN9mhMVSxWIzcnBi5OVm0SOJk1YlEgvKq6o0hcAuhL14RhMZ4ndBY+7GsYuP6JfHKBn9OQwq7t+GRUf1pnqfTWkkv2qNFREQkUtlZMe45tx/nTZzJFVNnM+XCARR23227f14ikWBtTXfD0rC74WZavTbX3XC3Da1auRzUtXUQvDa0euVtEsSa5WYTi6XX2K+6YrGgy2ReTjYt85M3W2cikQhCXZ3WwvKqavbt0IImuk+apCEFNREREYlc09xsHh7RnzMfmMEFj37Ic5cMYq/dCza8X1ZZq7thnaC1YpOuhsEEHOWVjd/dUKITi8U2dIWkqW7nIJlBQU1ERERSwm7Nc5k8qj9n3D+Dcx+aSbfdmm1oASuJb7m7YbuCXKxji53W3VBEJJkU1ERERCRldG/bnEdG9ueWl+bTJCfGgV1aZXx3QxHJTApqIiIiklL67NGap8f+KOoyREQipZGXIiIiIiIiKUZBTUREREREJMUoqImIiIiIiKQYBTUREREREZEUo6AmIiIiIiKSYhTUREREREREUoyCmoiIiIiISIpRUBMREREREUkxCmoiIiIiIiIpRkFNREREREQkxSioiYiIiIiIpBgFNRERERERkRSjoCYiIiIiIpJicqL85UVFRVH++galal0iIiIiIpIZYolEIuoaREREREREpBZ1fRQREREREUkxCmoiIiIiIiIpJtIxalEzs7eAse6+IOpaomZmPYA5wEe1Fr/h7jfVs+5bZMB2M7PBwJvAue7+VK3lc4CP3H1kRKWlBDMbB1wJ7Onu8ajriYL2kS3LlOPF9tjctjGzr4D9MuVvS8eTjczst8CxQDWQAH7n7hk/eN7M9gRuB9oCTYBPgHHuXlLPut2APu4+LblVJk/4/fMX4EB3/yZcdiuwwN0nR1haZMJt8jQwD4gR7Cd3ufvTUda1I9SiJrXNc/fBtf79IKRloAXAkJoXZnYg0Dy6clLKUGAqcG7UhURM+4jIjtPxBDCz/YFTgOPc/XhgHPBItFVFz8yaAi8CfwjPTw4DZgFPNvCRY4DDklVfhMqBSWYWi7qQFPJGuI8cBRwPjDOzvlEXtb0yukUt1M7MpgH5BFdpbnL3v4RXxKcDBxFc0TrV3YsjrDMSZvbfwJEEof5Od38mfOsmM2sHlAHnu/vyqGrcyT4B9jWz1u6+GhgGPAF0M7PLgDMIrtgUh8/PA0YTbK8b3P31aMreucKrVl8ADwKPA5PD1oEFwH4EV7LOCZ/fRvBl8pC7PxZFvTvZtu4jk4En3P0lM+sF3O7uP42m9KS50czecvcHzWw/4EF3H6zjLNDAtom6qGTazPFkrLsvMLOxQEd3v9HMrgdOB5YDzYDr3f2tSArfOZYB3YDRZvaqu39sZoeGF4DuITi2riT4nukHXEvQ8taR4Bj7p4jq3tl+Ckx391k1C9z9UTO7xMwMeAjIBdYRfA//FmhmZjPc/cVIKk6ONwjONy4F7qtZaGa/JrjoUQn8w93HmdmHwFnu/pWZnQ0c7u5XRFF0srj7WjMbD5xlZudQ53zWzAYAdxP8XS0Ghrr7+ugq/iG1qEFf4A53Pw64jGBnB2gJPBkm8sXAiRHVl0z7m9lbtf4NJeiGchhwNHCtmbUO133e3Y8BpgHXRFVwkjwPnB5esToUmEHwt9MWONbdjyA4Ee8frv+9ux+eriEtdAEw0d0dKAsPdgAzwpPMp4Dfhcvy3f2INA1pNbZlH5kAjAg/Nxp4OPnlpoxMPM7KDzV0PNmEmfUh2Ef6A6cBnZJXYnK4+wqCFrXDgPfMbAHwM4LjxqXh8fVl4OrwI13C9QcCvzKz9kkvOjn2IgjzdX0JvA/8t7v/CBgP9AFuBaakeUircQnB//t9wtctgJ8Dg8J/+5jZzwi+a84P1xlJsE9lgu+As6n/fPYhYJS7DwD+DvSKrsz6ZVyLmpkVAGXuXhEuehv4rZmNIbii26TW6rPDx28IWtzS3bzaV3LN7GqgMLyyCcG26R4+/0f4OIPgSlc6mwI8ACwi2F8guIJZDjxpZmuBrmzcdzzpFSaRmbUBTgLam9nlQCuCixwQXN2DYL84NXye1tsjtC37yFvAPeEJ1fFsDLRpo57jbO37wNTtopNRx9lt3DZpbwvHkxo126UX8L67VwHrwxaCtGJmPYE17j46fH0IQTBrCtwfNB7RBFgYfmSGu5eF634G7E3QKpduFhNcBKtrH4Jt8x5AzVgkMxuZtMoi5u4rzexKgt4a7xIcR2fWHGPM7G3gAILvqHfMbCLQ0t0/i6jkZOtO0MtleD3nsx3cfT6Au98fTXmbl4ktao8Ch5tZFtAe+B/gz+4+nGBSgNpflJl+k7kFwJtheDuGYIDmovC9mgPmEUBa/7G7+yKCMUe/JOiWA0FLwGnufg5wOcHfUs2+U530IpNrGPCwux/v7icAAwgCx+5AYbjOYcDc8Hm6b49t2kfcPRGuczfwWq0T9nRS9zj7KRtbPw6us26mHWe3ZdtkgoaOJ1X8cLvMBfqbWZaZ5RF0/Us3BwEPmFnNRYuFBN2m/0kwzGAwQWvaS+H7fc0s28yaEZyMf57kepPlBeA4M9sQ1szsAoIusC8R9mgxs6Fh4K8mg85xw0lTnKClLA4MMLOcsJfHkcBCd18DFBGc906KqtZkMrMWwIUEf0P1nc8uqWmJNLNxZnZ6VLU2JGN24lruAP5I0CI0maDp957wisNxQLvoSks504C14bYpAhK1Zlc6LbwycRxBF4N09xSwh7vXXMWsBErDK7r/BywFOkdVXJJdAGzoxuju64DnCK5sjjSz6QStrLdEU15ktmUfmQycSfp2e6x7nH0SOMnM3iQ9T663hbbNpho6nrwO/MnM/gZkh+99StC6NBP4X6Ai/Jc23P15glb3WWb2LvA34DcE2+nP4ffxrQSzNEPQMvAKQUv+zWHXybTj7muBk4HrzOxdM5tFEOqHEGyfa8JzkqEErSefAqeaWSZNTnMlsB4oIQgi7xJ0C/2KYHZICM55TyT4vkpXx4TDd14H/grcQDC+s77z2YuBR8Lzln4Ex5eUEkskMu1ipojsDJqGfeuZWReClvwfR12LyK4i7C58lrvfH7aozQWOcfd/RVxaJMJJWMa6eyaFEZGMknFj1EREomRmZwI3AmMiLkVkV7OCoOvjBwRdZidmakgTkcygFjUREREREZEUkxEtambWhOCGkT2APOBmgruWTya4KvcZwbS31eH6PYG/uHvvOj/nSIL7H+2RtOJFRERERCTjZMpkIsOAleG9jE4kuCngncB14bIY4VTiZjYcmEqdSUXMbA/g12w6fb+IiIiIiEijy5Sg9gxwfa3XlQTTiE8PX78CHBs+/x44qvaHw2lyHwR+sXPLFBERERERyZCg5u5r3b0kvJ/Cs8B1bLyfEQRTmbYK1/2ru5fW+RH3Abe7++KkFS0iIiIiIhkrI4IabOi6+CbwmLtPYdOb8LYAVjfwuc4EN3W+IZx+fDczm7qTyxURERERkQyWKZOJdABeAy5z99fDxbPNbLC7v0Uwbu3N+j7r7ksAq/WzvtU9S0REREREZGfKiKAG/A5oA1xvZjVj1a4A7jGzXGA+QZdIERERERGRyOk+aiIiIiIiIikmY8aoiYiIiIiI7CoU1ERERERERFKMgpqIiIiIiEiKUVATERERERFJMQpqIiIiIiIiKSZTpucXEZEMYmaDgaeBeUAMaALc5e5PN7B+N6CPu09LWpEiIiKboRY1ERFJV2+4+2B3Pwo4HhhnZn0bWPcY4LDklSYiIrJ5uo+aiIiknbBFbay7n1tr2UXAnsDuwB5AW+AV4EZgLtAMuAz4EriHoCVuJTDa3YuTWL6IiIha1EREJGN8B/QDZrr7T4DDgUvcvQq4FZji7i8CE4BL3X0w8DJwdUT1iohIBtMYNRERyRTdgRlAfzM7GlgD5NWzXi/gfjODYGzbwqRVKCIiElKLmoiIpD0zawFcCBQDq919KHAH0MzMYkA1G78THTg/bFG7Gngp+RWLiEim0xg1ERFJO3Vmfawi6EFyN0EImwqUAKUEY9V+DLQPl98AfE4Q4rLDHzfG3dWqJiIiSaWgJiIiIiIikmLU9VFERERERCTFKKiJiIiIiIikGAU1ERERERGRFKOgJiIiIiIikmIU1ERERERERFKMgpqIiIiIiEiKUVATERERERFJMQpqIiIiIiIiKeb/A9p3mCHVqM7EAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y['2014'].plot(figsize=(15, 6))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y['2015'].plot(figsize=(15, 6))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\David\\Anaconda3\\envs\\fastai\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.catplot(x=\"StoreType\", y=\"Sales\", kind=\"bar\", data=train_store);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x17203e66080>"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"StoreType\",y=\"Sales\", kind=\"box\", data=train_store)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.catplot(x=\"Assortment\", y=\"Sales\", kind=\"bar\", data=train_store);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x172059d3710>"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Assortment\",y=\"Sales\", kind=\"box\", data=train_store)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Promo2\", y=\"Sales\", kind=\"bar\", data=train_store);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x17206d45470>"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWAAAAFgCAYAAACFYaNMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAFIJJREFUeJzt3X9s3PV9x/Hn2Q40aRLaBMqCVsbWVO9F2kSHp9G1ZLhbEocwoKsmDU0dbqvuh5QlQUpV1paWIlXtOnVUwGgHdB1GarUW2k5Fyk9TBTJGh2roBsP9bIGGaAoCchklUdI0tm9/3LmzE/u4r+O7T873fEiI+3z8OX/f55xe/vhz3+/3U6pUKkiSWq8rdwGS1KkMYEnKxACWpEwMYEnKxACWpEx6chcwl4aHhyu9vb25y5CkU5Wm63QGLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLGlWyuUymzdvplwu5y6lbRnAkmZlcHCQp59+mvvvvz93KW3LAJZUWLlcZseOHVQqFXbs2OEseJYMYEmFDQ4OMj4+DsDY2Jiz4FkygCUVNjQ0xOjoKACjo6Ps3r07c0XtyQCWVNiaNWvo6aneTrynp4e1a9dmrqg9GcCSChsYGKCrqxof3d3d3HDDDZkrak8GsKTCli9fzvr16ymVSqxfv57ly5fnLqktzastiSS1zsDAAPv373f2ewZKlUoldw1zxj3hJJ2l3BNOks4mBrAkZdK0NeCIeAswDKwFRoH7gArwDLAxpTQeEbcAV9e+fmNK6YmIWNno2GbVLkmt0JQZcEQsAO4Gjte6bgNuTimtproWcl1EXAZcCVwOXA/cNYuxktS2mjUD/gLw98DHau1e4JHa4+3AOiABu1JKFeBARPRExAVFxqaUXjn1wCMjI016SZI0O6tWrZq2f84DOCI+ALySUtoZERMBXKqFJ8AR4DxgKTD5Dh4T/UXGnhbAM71QSTrbNGMG/CGgEhFrgHcA9wNvmfT1JcCrwGu1x6f2jxcYK0lta87XgFNKv5NSujKl1Af8ELgB2B4RfbUhVwF7gceA/ojoioiLga6U0iHgqQJjJalttepKuK3AvRFxDjACPJhSGouIvcDjVH8RbJzFWElqW14J12HK5TK33nort9xyi9fvS63jlXByGxnpbGIAd5Byucz27dupVCps27bNbWSkzAzgDjI4OMjJkycBOHnypLNgKTMDuIPs2rVrSnvnzp2ZKpEEBnBHmdhCZqa2pNYygDvI0aNH67YltZYB3EFWrFhRty0VUS6X2bx5sx/mngEDuIOVStOemig1xFMaz5wB3EFefPHFKe2DBw9mqkTtrlwus2PHDiqVCjt27HAWPEsGcAe55JJL6ralRg0ODjI+Xr1v1tjYmLPgWTKAO8ipu9cODAxkqkTtbmhoiNHRUQBGR0fZvXt35orakwHcQU6dpQwODmaqRO1uzZo1Pz+Nsaenh7Vr12auqD0ZwB1k//79ddtSowYGBujqqsZHd3f3aX9dqTEGcAdZvHhx3bbUqOXLl7N+/XpKpRLr16/3znqz5KVQHWRizW6mtlTEwMAA+/fvd/Z7BpwBd5B169ZNaff392eqRPPB8uXLueOOO5z9ngEDuIOcetaDMxcpLwNYkjIxgDvI3XffPaV9zz33ZKpEEhjAHeXhhx+e0h4aGspUiSQwgCUpGwO4g1x00UV125JaywDuIC+//HLdtqTWMoA7yIIFC+q2JbWWAdxB3JJIOrsYwB1k4cKFdduSWssA7iDHjx+v25bUWgawJGViAHeQRYsW1W1Lai0DuIP89Kc/rduW1FoGcAeZ2ERxprak1jKAJSkTA1jSrJTLZTZv3ky5XM5dStsygCXNyuDgIE8//fRpu22rcQawpMLK5TI7duygUqmwfft2Z8GzZABLKmxwcJCTJ08CcPLkSWfBs2QASyps9+7dVCoVACqVCrt27cpcUXsygCUVduGFF9ZtqzEGsKTCXnrppbptNcYA7iDnnntu3bbUqLVr105pr1u3LlMl7c0A7iAnTpyo25Yade21105pX3PNNZkqaW8GsKTCvvvd71IqlQAolUo89NBDmStqTwawpMKGhoamnAWxe/fuzBW1JwNYUmFr1qyZMgM+dU1YjTGAJRV27bXXTpkBuwY8OwawpMIeeOCBum01xgCWVNjDDz9ct63GGMCSCptYfpiprcYYwJIKu+KKK6a0V69enamS9mYASyps4gwInRkDWFJhe/furdtWYwxgSYW5wevcMIAlFeaHcHPDAJakTAxgSYUtWrSobluNMYAlFTY6Olq3rcYYwJIK6+7urttWYwxgSYUdP368bluNMYAlKRMDWFJhK1asmNK+6KKLMlXS3nqa8U0johu4FwhgDPggUALuAyrAM8DGlNJ4RNwCXA2MAjemlJ6IiJWNjm1G/ZLq27p1Kx/5yEemtFVcs2bA1wCklN4NfAq4rfbfzSml1VTD+LqIuAy4ErgcuB64q/b8ImMltdiuXbvqttWYpgRwSumfgT+rNX8JeAnoBR6p9W0H1gBXALtSSpWU0gGgJyIuKDhWUosNDQ1Nabsn3Ow0ZQkCIKU0GhGDwB8Afwj8fkpp4nrFI8B5wFKgPOlpE/2lAmNfmXzckZGROX4l85s/L83GdPeC8L00s1WrVk3b37QABkgpDUTETcC/AQsnfWkJ8CrwWu3xqf3jBcZOMdML1fT8eWmu+F4qrilLEBHxJxHxsVrzGNVA/UFE9NX6rgL2Ao8B/RHRFREXA10ppUPAUwXGSlJbatYM+NvAP0bEo8AC4EZgBLg3Is6pPX4wpTQWEXuBx6n+MthYe/7WAmMlqS2V5tNt5IaHhyu9vb25yzhr9fX1nda3Z8+elteh9ud7qbBptxDxQgxJhZ26JZFbFM2OASypMG/IPjcMYEmFdXV11W2rMf7UJBW2YMGCum01xgCWVNiJEyfqttUYA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMulpZFBErADeDIwCNwF3ppR+2MzCJGm+a3QGfD9wIfBZYDfwxaZVJEkdotEA7gEeBd6UUvonoLt5JUlSZ2g0gM8BbgMejYj30ODShSRpZo0G8AeABPw1cAHw/mYVJEmdotEAfh74GfAJ4GXgtaZVJEkdotEAvhu4GFgHLKH6oZwk6Qw0GsBvSyl9CjieUnoIOK+JNUlSR2j4LIiIOB8gIpYA480rSZI6Q6NnM9wMPAasAL4P3Ni0iiSpQzQUwCmlR4CIiAuAQymlSnPLkqT5r24AR8TjwGlhGxGklN7VtKokqQO83gz4+qLfMCIWAF8FLgHOBT4DPAvcRzXMnwE2ppTGI+IW4Gqq95i4MaX0RESsbHRs0dok6WxS90O4lNILKaUXgAXAHwMDVC/K+Hidp70fKKeUVgNXAX9H9Sq6m2t9JeC6iLgMuBK4nGrQ31V7fpGxktS2ityMB+AK4JeB5XXGPgB8clJ7FOgFHqm1twNrat9rV0qpklI6QPVMiwsKjpWkttXoWRDHUkqfi4i3p5Q+FBF7ZxqYUjoKPz9d7UGqZ1B8YdIHd0eonke8FChPeupEf6nA2FdOPf7IyEiDL0ngz0tzx/fSzFatWjVtf6MBXIqIXwCWRMQbgWX1BkfEW4HvAF9KKX09Iv5m0peXAK9SvZx5yTT94wXGnmamF6rp+fPSXPG9VFyjSxC3Au8FHgIOUF0amFZEXAjsAm5KKX211v1URPTVHl8F7KV6XnF/RHRFxMVAV0rpUMGxktS2Xu80tMuAfwB+Czgf+DLVpYBH6zzt41R3z/hkREysBW8B7oiIc4AR4MGU0lhtKeNxqr8INtbGbgXubXCsJLWtUqUy8zUVEbGd6kz2PyLiWapnOOwDtqeU3t2iGhs2PDxc6e3tzV3GWauvr++0vj179rS8DrU/30uFlabrfL014K5a+F4EvDGl9CRARHgvCEk6Q6+3Bjzx9fXAEEBEnMvUD8QkSbPwejPgoYh4DHgrcG1EvI3qOvA3ml6ZJM1zr3cl3OeBDwO/MWkb+i+nlD7X9MokaZ573fOAU0ojkx4/BzzX1IokqUM0eh6wJGmOGcCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlElP7gI61c6dO9m2bVvuMtiyZUtLjrNhwwb6+/tbciypXTgDlqRMnAFn0t/f3/IZYV9f32l9t99+e0trkPT/nAFLUiYGcAfZs2dP3bak1jKAJSkTA7jDXHrppVx66aXOfqWzgAEsSZkYwJKUiQEsSZkYwJKUiRdiSPPA2XBpu5e1F+cMWJIycQYszQOtvrTdy9rnhjNgScrEAJZUmJe1zw0DWJIyMYAlzYqXtZ85A1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSkTA1iSMjGAJSmTpm1JFBGXA59PKfVFxErgPqACPANsTCmNR8QtwNXAKHBjSumJImObVbsktUJTZsAR8VHgK8Abal23ATenlFYDJeC6iLgMuBK4HLgeuGsWYyWpbTVrCeI54H2T2r3AI7XH24E1wBXArpRSJaV0AOiJiAsKjpWkttWUJYiU0rci4pJJXaWUUqX2+AhwHrAUKE8aM9FfZOwrpx57ZGRkLl7CvHXs2DHAn5POnO+lxq1atWra/lZtSz8+6fES4FXgtdrjU/uLjD3NTC9UVYsWLQL8OenM+V46c606C+KpiOirPb4K2As8BvRHRFdEXAx0pZQOFRwrSW2rVTPgrcC9EXEOMAI8mFIai4i9wONUfxFsnMVYSWpbTQvglNJ+4J21x/9F9SyGU8d8Gvj0KX0Nj5WkduaFGJKUiQEsSZkYwJKUiQEsSZkYwJKUSatOQzur3Xnnnezbty93GS0x8Tq3bNmSuZLWWLlyJZs2bcpdhjQtA5hqKP3wmRHGFi3LXUrTlcaq/+TDz7+UuZLm6z52OHcJUl0GcM3YomUc/9UNucvQHFr4o225S5Dqcg1YkjIxgCUpEwNYkjJxDViaQ55RM38144waA1iaQ/v27eO///MpLl48lruUpltaKQFw4oUfZK6k+Q4c7W7K9zWApTl28eIxPn7Za7nL0Bz67JNLm/J9XQOWpEwMYEnKxACWpEwMYEnKxACWpEwMYEnKxACWpEw8Dxg4fPgw3cfK3j1rnuk+Vubw4QW5y5Bm5AxYkjJxBgwsW7aMH7960vsBzzMLf7SNZcvm/0321b6cAUtSJs6ApTl0+PBhDh3pbtq9A5THC0e6Of/w3G9x5QxYkjJxBizNoWXLlvHGI897N7R55rNPLuXcJnye4AxYkjIxgCUpEwNYkjIxgCUpEwNYkjIxgCUpEwNYkjLxPOCa7mOHO+JuaKWTxwGoLFiYuZLm6z52GLgwdxnSjAxgYOXKlblLaJl9+/YBsPJXOiGYLuyof1u1HwMY2LRpU+4SWmbLli0A3H777Zkrmb8OHO2Me0H85GclAM47p5K5kuY7cLSbtzfh+xrA0hzqpBn3a7W/pt7yS/P/Nb+d5vzbGsDSHPKvKRXhWRCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZGMCSlIkBLEmZtNWmnBHRBXwJuBQ4AXw4pbQvb1WSNDvtNgN+L/CGlNJvA38F/G3meiRp1tpqBgxcAewASCl9PyJ+M3M9s7Zz5062bdvW8uPu21f9g2FiS/FW2bBhA/39/S09ZifJ8X7yvXTm2i2AlwI/mdQei4ielNLoRMfIyEjrq5qFgwcPcuzYsZYfd/HixQAtP/bBgwfb5t+mHeV4P/leatyqVaum7S9VKpUWlzJ7EXEb8P2U0jdr7f9JKf3ixNeHh4crvb292eqTpBmUputstzXgx4ANABHxTuDpvOVI0uy12xLEd4C1EfGvVH+jfDBzPZI0a20VwCmlceAvctchSXOh3ZYgJGneMIAlKRMDWJIyMYAlKRMDWJIyMYAlKRMDWJIyMYAlKRMDWJIyaasr4RoxPDycuwRJOlWlt7f3tBvytNXd0CRpPnEJQpIyMYAlKRMDWJIymXcfwmlm7iqtuRQRlwOfTyn15a6lXTkD7izuKq05EREfBb4CvCF3Le3MAO4sU3aVBtp2V2ll9xzwvtxFtDsDuLNMu6t0rmLUvlJK3wJO5q6j3RnAneU1YMmkdldKaTRXMVKnM4A7i7tKS2cR//zsLO4qLZ1FvBRZkjJxCUKSMjGAJSkTA1iSMjGAJSkTA1iSMvE0NM1LEdEHfBN4FqgAC4GvpZTubOIx3wHcCYxRvdnRDSmll5p1PLU/Z8Caz76XUupLKb0HuBLYGhFvauLxbgc21e4O9m3gpiYeS/OAM2B1iiVUZ6ZDEfFj4M3A1VTv6PU2oBu4LaX0jYjYA/w78GvAUWAv0A+8CVhX6/vqqc8Drk8pvVg7Xg/w09a8NLUrZ8Caz343IvZExPeArwGbqIbn11NKa4A/BQ6llN4FrAE+ExHn1577RErp94BzgWMppbVUlzOuBP58uudNhG9EvAv4S+CLLXulakvOgDWffS+ldP3kjtp9bFOtuQoYAkgpHYmIZ6nOagGerP3/VarBC/C/VO9/O9PzDkXEHwGfAK5OKb3SlFelecMZsDrReO3/I8BqgIhYAvw68OPa1+pdoz/t8yLi/VRnvn0ppeebULfmGQNYneweYHlE/AuwB7g1pfTybJ4HlIE7qK41f7u29HFrU6rWvOHNeCQpE2fAkpSJASxJmRjAkpSJASxJmRjAkpSJASxJmRjAkpTJ/wHLhD8TPxVe9gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Promo2\",y=\"Sales\", kind=\"box\", data=train_store)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"DayOfWeek\", y=\"Sales\", kind=\"bar\", data=train_store);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"DayOfWeek\",y=\"Sales\", kind=\"box\", data=train_store);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Open\", y=\"Sales\", kind=\"bar\", data=train_store);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Open\",y=\"Sales\", kind=\"box\", data=train_store);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"StateHoliday\", y=\"Sales\", kind=\"bar\", data=train_store);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"StateHoliday\",y=\"Sales\", kind=\"box\", data=train_store);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wMyIWRMQR48y9ttubDA8Pt7N6zWlV+8XCknfVTJnKfjUwMNB1vJUAZ+YXIuLoUUN9TWgBHgSWAIuB+0fN2TfebW5X4/1SE7vlALfTXHDg+8XU7Cx5V82UNvarmfqfcKPP4S4CHgB2NY/HjnebK0k9Z6YCfFtErGwenwpsBrYAqyKiPyKWAv2Zed84cyWp57R2FcQYFwJXRcQhwDBwTWbuiYjNwFY6fxGsHm/uDK1RkmZUawHOzP8AljePd9C54mHsnHXAujFjXedKUq/xgxiSVMQAS1IRAyxJRQywJBUxwJJUxABLUhEDLElFDLAkFTHAklTEAEtSEQMsSUUMsCQVMcCSVMQAS1IRAyxJRQywJBUxwJJUxABLUhEDLElFDLAkFTHAklTEAEtSEQMsSUUMsCQVMcCSVMQAS1IRAyxJRQywJBUxwJJUxABLUhEDLElFDLAkFTHAklTEAEtSEQMsSUUMsCQVMcCSVMQAS1KRBdUL6CYi+oErgGOBHwHnZ+Y3a1clSdNrth4BvxY4NDNfCrwL+HDxeiRp2vWNjIxUr2E/EXEZsC0zP988/3Zm/tzoOdu3b599C5ekcQwODvaNHZuVpyCAxcD3Rz3fExELMnP3voFuv4wkzSWz9RTELmDRqOf9o+MrSb1gtgZ4C/BqgIhYDtxRuxxJmn6z9RTEtcApEfF1oA84t3g9kjTtZuX/hNPUeSmf2hQRy4APZubK6rXMZbP1FISmzkv51IqIeCfwCeDQ6rXMdQa4d50IfBUgM4eAF9cuRz3kbuB11YvoBQa4d3W9lK9qMeodmfkF4LHqdfQCA9y7vJRPmuUMcO/yUj5plvM/SXuXl/JJs5yXoUlSEU9BSFIRAyxJRQywJBUxwJJUxABLUhEDrFknIt4VETdExMaIuD4iBseZd2NEPG+K7/Wd5s/1EfGqbq9NYts/j4ilY157XkTcOJW1qfd5HbBmlYh4PnAG8LLMHImIFwGfoXNXt1kpM9dUr0FzkwHWbPNdYClwXkR8NTNvj4iXNLc//AidD5V8G3hDM/+SiHgasBD4jcy8JyI+TOdmRACfy8yPRMTRwCeBg4ER4Hcz818ms6CJtm2OdN9G594bn23W+J1Rr58NrG7GAc4GLgC+nZmXR8STgBsys+uRvnqXpyA0q2TmfTRHwMDWiPgGcDrwV8C5mbkMuAEYaDb5Smb+MrABODsiTgeeDSynE+HXR8QLgEuBj2bmy4G30wnqWB9qTmvc2ET18GZ8MtsCXAj8TWa+AvjSqPFfAE5r7p2bwCo6t3N8U/P66+mEW/OMAdasEhHHALsy87zMXAq8EbgSGMjMYYDMvCIzb2022d78+R3gMDph3pyZI5n5GDAEPL8Zv6nZ/nbgqC5v/87MXLnvH+B7zfhktgX4RWBb83jLqPHvAp+JiE8DLwQOzsx7gAebUy5vAK6e+N+Oeo0B1mzzQuDKiNh3s+8ddP7T/t8i4rkAEXFRRJzVvD72s/TDNKcfIuJg4ATgrmb8pGb8RYw6RTAJk932G8BLm8e/1MxfArwXOAc4H3iEH5+KuApYC9zbHPlrnjHAmlUy84vAjcDNEbEFuB54B/BW4FMRsQk4DviHcbb/MvCtiNhK5+j3muZo+feA34mIm+gcUf/W41jWZLd9D/Ca5vTFGc3YLjpHw7cCm+kE+MjmtWuBUxj/lIZ6nDfjkYpExGHAJmBZZu6tXo9mnkfAUoGIOAG4GfhD4zt/eQQsSUU8ApakIgZYkooYYEkqYoAlqYgBlqQi/wdAAPUVmz0YvgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"SchoolHoliday\", y=\"Sales\", kind=\"bar\", data=train_store);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6FPD3pLnzvdS6wcHBafu7tgY8xckJt1cCrwKHG7en9rcz9hQzvVDVLV++HPD3pLnzvTR383UUxJMRMdy4fTWwD3gM2BgRSyJiLbAkM19pc6wk9az5mgHfCtwXEcuAUeDBzDwREfuA/dT/EGyZxVhJ6lldC+DMfA64tHH776gfxTB1zG8BvzWlr+WxktTLPBFDkgoxgCWpEANYkgoxgCWpEANYkgqZr8PQpEr4whe+wIEDB0qXMS/GX+fWrVsLVzI/1q1bx80339zRn2kASx104MAB/v5vnmTtWSdKl9J1Z9f6AHjzO39duJLue/71/q78XANY6rC1Z53gUxcfLl2GOuizT5zdlZ/rGrAkFeIMGNftFrNurNtJnWIAUw+lp54e5cTyVaVL6bq+E/V/8pFnXypcSff1Hz1UugSpKQO44cTyVbzx7mtKl6EOOvPb20uXIDXlGrAkFWIAS1IhBrAkFWIAS1IhBrAkFWIAS1IhBrAkFWIAS1IhnoghddChQ4d45bX+rl28RWV857V+zj3U+TMrnQFLUiHOgKUOWrVqFStee9bLUS4yn33ibM5Y1flrxRjA1D829h8d89oBi0z/0TEOHVpaugxpRi5BSFIhzoCpf2z8h1ePeTW0RebMb29nVRc+Nkqd4gxYkgoxgCWpEANYkgoxgCWpEANYkgoxgCWpEA9Dkzrs+dercS2If3yrD4BzltUKV9J9z7/ez7u68HMNYKmD1q1bV7qEeXP4wAEA3v7ji/81v4vu/NsawFIH3XzzzaVLmDdbt24F4K677ipcSe9yDViSCjGAJakQA1iSCnENuKH/6KFKXI6y79gbANSWnlm4ku7rP3oIOK90GdKMDGCq9c31gcY31+v+WRWC6bxK/duq9xjA+M21pDJcA5akQgxgSSrEAJakQgxgSSrEAJakQgxgSSrEAJakQgxgSSrEAJakQgxgSSrEAJakQgxgSSrEAJakQgxgSSrEAJakQgxgSSrEAJakQgxgSSrEAJakQnpqT7iIWAJ8EbgIeBP4WGYeKFuVJM1Or82AfwF4W2b+LPDrwO8WrkeSZq2nZsDAZcDDAJn5jYj4V4XrmbWdO3eyffv2eX/e8W3px3dHni/XXHMNGzdunNfnrJIS7yffS3PXawF8NvCPE9onImIgM4+Pd4yOjs5/VbNw8OBBjh49Ou/Pe9ZZZwHM+3MfPHiwZ/5telGJ95PvpdYNDg5O299Xq9XmuZTZi4g7gW9k5p822i9k5j8dv39kZKQ2NDRUrD5JmkHfdJ29tgb8GHANQERcCnyrbDmSNHu9tgTxVeDKiPjf1P+ifKRwPZI0az0VwJl5Evi10nVIUif02hKEJC0aBrAkFWIAS1IhBrAkFWIAS1IhBrAkFWIAS1IhBrAkFWIAS1IhPXUmXCtGRkZKlyBJU9WGhoZOuSBPT10NTZIWE5cgJKkQA1iSCjGAJamQRfclnGbmrtLqpIhYD3wuM4dL19KrnAFXi7tKqyMi4hPA7wNvK11LLzOAq2XSrtJAz+4qreKeAX6pdBG9zgCulml3lS5VjHpXZv45cKx0Hb3OAK6Ww8DKCe0lmXm8VDFS1RnA1eKu0tIC4sfPanFXaWkB8VRkSSrEJQhJKsQAlqRCDGBJKsQAlqRCDGBJKsQA1oIWEb8eEXsiYldE7IyIoRnG7Y2Id8/xub7X+P/9EbFpuvtaeOx/jYi1U+57d0TsnUttWpw8DlgLVkT8FHA98L7MrEXEe4Bt1K/mtiBl5i2la1DvMIC1kH0fWAt8NCIezsynIuKSxmUQ76J+MsmLwK80xt8eEecBK4BfzsxnI+J3qV+ECOCPM/OuiHgn8AfAUqAGfDwz/08rBZ3usY2Z7q9Rv+bGHzVq/N6E+z8IbGn0A3wQ+PfAi5l5T0T8GLAnM6ed6WtxcQlCC1ZmvkJjBgzsj4hvA+8Hvgx8JDPXA3uAwcZD/ioz/w2wA/hgRLwf+AngUuoh/KGI+JfA54G7M/PngK3UA3Wq32ksa+xthOqqRn8rjwW4FfiTzPx54C8n9P9z4NrGNXQT2Ej9so43Nu7/EPXgVgUYwFqwImIdcDgzP5qZa4EPA18CBjNzFCAzv5iZTzQeMr4l9veA5dSDeV9m1jLzGPAN4Kca/Y82Hv8U8I5pnv4TmTk8/h9wqNHfymMB/gXweOP2YxP6vw9si4g/BH4aWJqZzwKvNZZcfgV44PS/HS0GBrAWsp8GvhQR4xf9/jvqH+3/JiLeBRARn4yIX2zcP/W8+lEayw8RsRR4L/D3jf7LG/3vYcISQQtafey3gZ9t3P7XjfHnAHcANwAfA97g/y9F3AfcBrzQmPmrAgxgLViZ+RfAXuCbEfEYsBP4j8BNwFci4hHgZ4DtMzz+fwH/EBH7qc9+H2zMlv8DcHNEPEp9Rv3v2iir1cd+GriusXxxfaPvMPXZ8BPAPuoBfGHjvq8CVzLzkoYWIS/GIy0AEbEceARYn5knS9ej+eEMWCosIt4LfBP4z4ZvtTgDlqRCnAFLUiEGsCQVYgBLUiEGsCQVYgBLUiH/D/dC4lIlDGzaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"SchoolHoliday\",y=\"Sales\", kind=\"box\", data=train_store);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"PromoInterval\", y=\"Sales\", kind=\"bar\", data=train_store);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"PromoInterval\",y=\"Sales\", kind=\"box\", data=train_store);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Random Forest¶\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "# train_store['Date']=pd.to_datetime(train_store['Date'],dayfirst=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Date = train_store['Date']\n",
    "\n",
    "# pd.DataFrame({\"year\": Date.dt.year,\n",
    "#               \"month\": Date.dt.month,\n",
    "#               \"day\": Date.dt.day,\n",
    "#               #\"hour\": Date.dt.hour,\n",
    "#               \"dayofyear\": Date.dt.dayofyear,\n",
    "#               \"week\": Date.dt.week,\n",
    "#               \"weekofyear\": Date.dt.weekofyear,\n",
    "#               \"dayofweek\": Date.dt.dayofweek,\n",
    "#               \"weekday\": Date.dt.weekday,\n",
    "#               \"quarter\": Date.dt.quarter,\n",
    "#              })"
   ]
  },
  {
   "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": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}