Walmart Recruiting_Trip Type Classification.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import decimal\n",
    "from sklearn.preprocessing import StandardScaler \n",
    "from sklearn.decomposition import PCA\n",
    "from collections import Counter\n",
    "from pandas import pivot_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "References\n",
    "- https://pandas.pydata.org/pandas-docs/stable/generated/pandas.pivot_table.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"train.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "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>TripType</th>\n",
       "      <th>VisitNumber</th>\n",
       "      <th>Weekday</th>\n",
       "      <th>Upc</th>\n",
       "      <th>ScanCount</th>\n",
       "      <th>DepartmentDescription</th>\n",
       "      <th>FinelineNumber</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>999</td>\n",
       "      <td>5</td>\n",
       "      <td>Friday</td>\n",
       "      <td>68113152929.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>FINANCIAL SERVICES</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>Friday</td>\n",
       "      <td>60538815980.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>SHOES</td>\n",
       "      <td>8931.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7410811099.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>PERSONAL CARE</td>\n",
       "      <td>4504.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "      <td>Friday</td>\n",
       "      <td>2238403510.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>PAINT AND ACCESSORIES</td>\n",
       "      <td>3565.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "      <td>Friday</td>\n",
       "      <td>2006613744.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>PAINT AND ACCESSORIES</td>\n",
       "      <td>1017.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   TripType  VisitNumber Weekday                 Upc  ScanCount  \\\n",
       "0       999            5  Friday  68113152929.000000         -1   \n",
       "1        30            7  Friday  60538815980.000000          1   \n",
       "2        30            7  Friday   7410811099.000000          1   \n",
       "3        26            8  Friday   2238403510.000000          2   \n",
       "4        26            8  Friday   2006613744.000000          2   \n",
       "\n",
       "   DepartmentDescription  FinelineNumber  \n",
       "0     FINANCIAL SERVICES          1000.0  \n",
       "1                  SHOES          8931.0  \n",
       "2          PERSONAL CARE          4504.0  \n",
       "3  PAINT AND ACCESSORIES          3565.0  \n",
       "4  PAINT AND ACCESSORIES          1017.0  "
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TripType</th>\n",
       "      <th>VisitNumber</th>\n",
       "      <th>ScanCount</th>\n",
       "      <th>FinelineNumber</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>647054.000000</td>\n",
       "      <td>647054.000000</td>\n",
       "      <td>647054.000000</td>\n",
       "      <td>642925.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>58.584511</td>\n",
       "      <td>96167.640078</td>\n",
       "      <td>1.108878</td>\n",
       "      <td>3726.884567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>157.635533</td>\n",
       "      <td>55545.485154</td>\n",
       "      <td>0.700776</td>\n",
       "      <td>2780.966158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>-12.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>27.000000</td>\n",
       "      <td>49268.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1404.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>39.000000</td>\n",
       "      <td>97074.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3352.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>40.000000</td>\n",
       "      <td>144316.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5501.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>999.000000</td>\n",
       "      <td>191347.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>9998.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            TripType    VisitNumber      ScanCount  FinelineNumber\n",
       "count  647054.000000  647054.000000  647054.000000   642925.000000\n",
       "mean       58.584511   96167.640078       1.108878     3726.884567\n",
       "std       157.635533   55545.485154       0.700776     2780.966158\n",
       "min         3.000000       5.000000     -12.000000        0.000000\n",
       "25%        27.000000   49268.000000       1.000000     1404.000000\n",
       "50%        39.000000   97074.000000       1.000000     3352.000000\n",
       "75%        40.000000  144316.000000       1.000000     5501.000000\n",
       "max       999.000000  191347.000000      71.000000     9998.000000"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"Upc\"] = df[\"Upc\"].apply(lambda x: format(x, 'f'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TripType</th>\n",
       "      <th>VisitNumber</th>\n",
       "      <th>Weekday</th>\n",
       "      <th>Upc</th>\n",
       "      <th>ScanCount</th>\n",
       "      <th>DepartmentDescription</th>\n",
       "      <th>FinelineNumber</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>999</td>\n",
       "      <td>5</td>\n",
       "      <td>Friday</td>\n",
       "      <td>68113152929.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>FINANCIAL SERVICES</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>Friday</td>\n",
       "      <td>60538815980.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>SHOES</td>\n",
       "      <td>8931.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7410811099.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>PERSONAL CARE</td>\n",
       "      <td>4504.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "      <td>Friday</td>\n",
       "      <td>2238403510.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>PAINT AND ACCESSORIES</td>\n",
       "      <td>3565.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "      <td>Friday</td>\n",
       "      <td>2006613744.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>PAINT AND ACCESSORIES</td>\n",
       "      <td>1017.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   TripType  VisitNumber Weekday                 Upc  ScanCount  \\\n",
       "0       999            5  Friday  68113152929.000000         -1   \n",
       "1        30            7  Friday  60538815980.000000          1   \n",
       "2        30            7  Friday   7410811099.000000          1   \n",
       "3        26            8  Friday   2238403510.000000          2   \n",
       "4        26            8  Friday   2006613744.000000          2   \n",
       "\n",
       "   DepartmentDescription  FinelineNumber  \n",
       "0     FINANCIAL SERVICES          1000.0  \n",
       "1                  SHOES          8931.0  \n",
       "2          PERSONAL CARE          4504.0  \n",
       "3  PAINT AND ACCESSORIES          3565.0  \n",
       "4  PAINT AND ACCESSORIES          1017.0  "
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TripType                 647054\n",
       "VisitNumber              647054\n",
       "Weekday                  647054\n",
       "Upc                      642925\n",
       "ScanCount                647054\n",
       "DepartmentDescription    645693\n",
       "FinelineNumber           642925\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(647054, 7)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['TripType', 'VisitNumber', 'Weekday', 'Upc', 'ScanCount',\n",
       "       'DepartmentDescription', 'FinelineNumber'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  1. 고객(VisitNum) 별 특징 파악하기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1-1. 고객별 구매 갯수(scan count)\n",
    "- 총 95,674명의 고객 방문\n",
    "- 평균 상품 구매량은 7.5개 \n",
    "- 0 이하인 경우는 아마도 반품 건? 4,395 명\n",
    "- 평균 7개 구매\n",
    "- 70개 이상 구매한 경우는 매우 적음 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ScanCount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>95674.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.499467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>10.261119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-52.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>311.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "          ScanCount\n",
       "count  95674.000000\n",
       "mean       7.499467\n",
       "std       10.261119\n",
       "min      -52.000000\n",
       "25%        2.000000\n",
       "50%        4.000000\n",
       "75%        9.000000\n",
       "max      311.000000"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VN_SC = pivot_table(df, values = ['ScanCount'], index = ['VisitNumber'], aggfunc=np.sum)\n",
    "VN_SC.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Program Files\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'# of Visitors')"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(VN_SC['ScanCount'], hist=True, kde=False, \n",
    "             bins=int(180/5), color = 'blue',\n",
    "             hist_kws={'edgecolor':'black'})\n",
    "# Add labels\n",
    "plt.title('Histogram of Sum of ScanCount per each VisitNumber')\n",
    "plt.xlabel('Sum of ScanCount')\n",
    "plt.ylabel('# of Visitors')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": true
   },
   "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>ScanCount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VisitNumber</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>27471</th>\n",
       "      <td>-52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131193</th>\n",
       "      <td>-37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50671</th>\n",
       "      <td>-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61053</th>\n",
       "      <td>-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133103</th>\n",
       "      <td>-23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ScanCount\n",
       "VisitNumber           \n",
       "27471              -52\n",
       "131193             -37\n",
       "50671              -26\n",
       "61053              -26\n",
       "133103             -23"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VN_SC.sort_values(by = 'ScanCount', ascending = True).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 구매 갯수가 0 미만인 고객 \n",
    "- 4,395명(4.6%)\n",
    "- 본 데이터가 커버하는 기간 이전에 구매하고, 데이터가 커버하는 기간 중 반품한 고객? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4395, 1)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VN_SC.loc[VN_SC['ScanCount'] < 0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.04593724522858875"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(VN_SC.loc[VN_SC['ScanCount'] < 0])/len(VN_SC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "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>TripType</th>\n",
       "      <th>VisitNumber</th>\n",
       "      <th>Weekday</th>\n",
       "      <th>Upc</th>\n",
       "      <th>ScanCount</th>\n",
       "      <th>DepartmentDescription</th>\n",
       "      <th>FinelineNumber</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>445758</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>4.190007e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>FROZEN FOODS</td>\n",
       "      <td>1854.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445759</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7.209232e+09</td>\n",
       "      <td>-3</td>\n",
       "      <td>DSD GROCERY</td>\n",
       "      <td>4655.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445760</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7.763305e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>COMM BREAD</td>\n",
       "      <td>3701.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445761</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>2.100003e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>GROCERY DRY GOODS</td>\n",
       "      <td>2452.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445762</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7.763305e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>COMM BREAD</td>\n",
       "      <td>3701.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445763</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7.110001e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>GROCERY DRY GOODS</td>\n",
       "      <td>2453.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445764</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>4.190007e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>FROZEN FOODS</td>\n",
       "      <td>1854.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445765</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1.117992e+09</td>\n",
       "      <td>-5</td>\n",
       "      <td>CELEBRATION</td>\n",
       "      <td>151.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445766</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>4.450098e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>PRE PACKED DELI</td>\n",
       "      <td>7554.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445767</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>1.117992e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>CELEBRATION</td>\n",
       "      <td>151.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445768</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7.211291e+10</td>\n",
       "      <td>-1</td>\n",
       "      <td>CELEBRATION</td>\n",
       "      <td>112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445769</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7.209291e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>DSD GROCERY</td>\n",
       "      <td>4655.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445770</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7.209291e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>DSD GROCERY</td>\n",
       "      <td>4655.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445771</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7.874204e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>HOUSEHOLD PAPER GOODS</td>\n",
       "      <td>4010.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445772</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7.116982e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>GROCERY DRY GOODS</td>\n",
       "      <td>6807.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445773</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7.048501e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>COOK AND DINE</td>\n",
       "      <td>2790.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445774</th>\n",
       "      <td>999</td>\n",
       "      <td>133103</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7.048501e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>COOK AND DINE</td>\n",
       "      <td>2790.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        TripType  VisitNumber Weekday           Upc  ScanCount  \\\n",
       "445758       999       133103  Friday  4.190007e+09         -1   \n",
       "445759       999       133103  Friday  7.209232e+09         -3   \n",
       "445760       999       133103  Friday  7.763305e+09         -1   \n",
       "445761       999       133103  Friday  2.100003e+09         -1   \n",
       "445762       999       133103  Friday  7.763305e+09         -1   \n",
       "445763       999       133103  Friday  7.110001e+09         -1   \n",
       "445764       999       133103  Friday  4.190007e+09         -1   \n",
       "445765       999       133103  Friday  1.117992e+09         -5   \n",
       "445766       999       133103  Friday  4.450098e+09         -1   \n",
       "445767       999       133103  Friday  1.117992e+09         -1   \n",
       "445768       999       133103  Friday  7.211291e+10         -1   \n",
       "445769       999       133103  Friday  7.209291e+09         -1   \n",
       "445770       999       133103  Friday  7.209291e+09         -1   \n",
       "445771       999       133103  Friday  7.874204e+09         -1   \n",
       "445772       999       133103  Friday  7.116982e+09         -1   \n",
       "445773       999       133103  Friday  7.048501e+09         -1   \n",
       "445774       999       133103  Friday  7.048501e+09         -1   \n",
       "\n",
       "        DepartmentDescription  FinelineNumber  \n",
       "445758           FROZEN FOODS          1854.0  \n",
       "445759            DSD GROCERY          4655.0  \n",
       "445760             COMM BREAD          3701.0  \n",
       "445761      GROCERY DRY GOODS          2452.0  \n",
       "445762             COMM BREAD          3701.0  \n",
       "445763      GROCERY DRY GOODS          2453.0  \n",
       "445764           FROZEN FOODS          1854.0  \n",
       "445765            CELEBRATION           151.0  \n",
       "445766        PRE PACKED DELI          7554.0  \n",
       "445767            CELEBRATION           151.0  \n",
       "445768            CELEBRATION           112.0  \n",
       "445769            DSD GROCERY          4655.0  \n",
       "445770            DSD GROCERY          4655.0  \n",
       "445771  HOUSEHOLD PAPER GOODS          4010.0  \n",
       "445772      GROCERY DRY GOODS          6807.0  \n",
       "445773          COOK AND DINE          2790.0  \n",
       "445774          COOK AND DINE          2790.0  "
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df['VisitNumber'] ==133103]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 구매 갯수가 0 인 고객은..????\n",
    "- 1,803명(1.88%)\n",
    "- 구매 당일 취소?(요일이 같음)\n",
    "- 전부 반품한 고객? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1803, 1)\n",
      "0.018845245312206032\n"
     ]
    }
   ],
   "source": [
    "print(VN_SC.loc[VN_SC['ScanCount'] == 0].shape)\n",
    "print(len(VN_SC.loc[VN_SC['ScanCount'] == 0])/len(VN_SC))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "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>TripType</th>\n",
       "      <th>VisitNumber</th>\n",
       "      <th>Weekday</th>\n",
       "      <th>Upc</th>\n",
       "      <th>ScanCount</th>\n",
       "      <th>DepartmentDescription</th>\n",
       "      <th>FinelineNumber</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3979</th>\n",
       "      <td>999</td>\n",
       "      <td>1579</td>\n",
       "      <td>Friday</td>\n",
       "      <td>6.442257e+10</td>\n",
       "      <td>-1</td>\n",
       "      <td>PHARMACY OTC</td>\n",
       "      <td>509.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3980</th>\n",
       "      <td>999</td>\n",
       "      <td>1579</td>\n",
       "      <td>Friday</td>\n",
       "      <td>8.280307e+09</td>\n",
       "      <td>1</td>\n",
       "      <td>HOME DECOR</td>\n",
       "      <td>856.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3981</th>\n",
       "      <td>999</td>\n",
       "      <td>1579</td>\n",
       "      <td>Friday</td>\n",
       "      <td>8.280307e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>HOME DECOR</td>\n",
       "      <td>856.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3982</th>\n",
       "      <td>999</td>\n",
       "      <td>1579</td>\n",
       "      <td>Friday</td>\n",
       "      <td>5.027695e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>HOME DECOR</td>\n",
       "      <td>856.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3983</th>\n",
       "      <td>999</td>\n",
       "      <td>1579</td>\n",
       "      <td>Friday</td>\n",
       "      <td>6.442257e+10</td>\n",
       "      <td>1</td>\n",
       "      <td>PHARMACY OTC</td>\n",
       "      <td>509.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3984</th>\n",
       "      <td>999</td>\n",
       "      <td>1579</td>\n",
       "      <td>Friday</td>\n",
       "      <td>5.027695e+09</td>\n",
       "      <td>1</td>\n",
       "      <td>HOME DECOR</td>\n",
       "      <td>856.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      TripType  VisitNumber Weekday           Upc  ScanCount  \\\n",
       "3979       999         1579  Friday  6.442257e+10         -1   \n",
       "3980       999         1579  Friday  8.280307e+09          1   \n",
       "3981       999         1579  Friday  8.280307e+09         -1   \n",
       "3982       999         1579  Friday  5.027695e+09         -1   \n",
       "3983       999         1579  Friday  6.442257e+10          1   \n",
       "3984       999         1579  Friday  5.027695e+09          1   \n",
       "\n",
       "     DepartmentDescription  FinelineNumber  \n",
       "3979          PHARMACY OTC           509.0  \n",
       "3980            HOME DECOR           856.0  \n",
       "3981            HOME DECOR           856.0  \n",
       "3982            HOME DECOR           856.0  \n",
       "3983          PHARMACY OTC           509.0  \n",
       "3984            HOME DECOR           856.0  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df['VisitNumber'] ==1579]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "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>TripType</th>\n",
       "      <th>VisitNumber</th>\n",
       "      <th>Weekday</th>\n",
       "      <th>Upc</th>\n",
       "      <th>ScanCount</th>\n",
       "      <th>DepartmentDescription</th>\n",
       "      <th>FinelineNumber</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>642235</th>\n",
       "      <td>999</td>\n",
       "      <td>190182</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>2.038210e+10</td>\n",
       "      <td>1</td>\n",
       "      <td>SERVICE DELI</td>\n",
       "      <td>7999.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642236</th>\n",
       "      <td>999</td>\n",
       "      <td>190182</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        TripType  VisitNumber Weekday           Upc  ScanCount  \\\n",
       "642235       999       190182  Sunday  2.038210e+10          1   \n",
       "642236       999       190182  Sunday           NaN         -1   \n",
       "\n",
       "       DepartmentDescription  FinelineNumber  \n",
       "642235          SERVICE DELI          7999.0  \n",
       "642236                   NaN             NaN  "
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df['VisitNumber'] ==190182] # 구매 - 반품의 upc 다른 경우도있음? Upc가 nan인 경우가 있을 수 있나봄"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "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>TripType</th>\n",
       "      <th>VisitNumber</th>\n",
       "      <th>Weekday</th>\n",
       "      <th>Upc</th>\n",
       "      <th>ScanCount</th>\n",
       "      <th>DepartmentDescription</th>\n",
       "      <th>FinelineNumber</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>640779</th>\n",
       "      <td>999</td>\n",
       "      <td>189859</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>1.675153e+09</td>\n",
       "      <td>-1</td>\n",
       "      <td>TOYS</td>\n",
       "      <td>6135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640780</th>\n",
       "      <td>999</td>\n",
       "      <td>189859</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>1.675153e+09</td>\n",
       "      <td>1</td>\n",
       "      <td>TOYS</td>\n",
       "      <td>6135.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        TripType  VisitNumber Weekday           Upc  ScanCount  \\\n",
       "640779       999       189859  Sunday  1.675153e+09         -1   \n",
       "640780       999       189859  Sunday  1.675153e+09          1   \n",
       "\n",
       "       DepartmentDescription  FinelineNumber  \n",
       "640779                  TOYS          6135.0  \n",
       "640780                  TOYS          6135.0  "
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df['VisitNumber'] ==189859]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Program Files\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(88547, 1)"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VN_SC.loc[VN_SC['ScanCount'] > 0][VN_SC['ScanCount'] < 50].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Program Files\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'# of Visitors')"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(VN_SC.loc[VN_SC['ScanCount'] > 0], hist=True, kde=False, \n",
    "             bins=int(180/5), color = 'blue', \n",
    "             hist_kws={'edgecolor':'black'})\n",
    "# Add labels\n",
    "plt.title('Histogram of Sum of ScanCount per each VisitNumber')\n",
    "plt.xlabel('Sum of ScanCount')\n",
    "plt.ylabel('# of Visitors')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ### 일부 반품은?! \n",
    " - 그렇다면, 애초에 df에서 pivot 할 때, 0 미만인 구매내역과 0 초과인 구매내역을 구분하여 aggregate 해야 함?!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "scrolled": true
   },
   "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>ScanCount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>11077.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-1.529475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.475869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-52.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ScanCount\n",
       "count  11077.000000\n",
       "mean      -1.529475\n",
       "std        1.475869\n",
       "min      -52.000000\n",
       "25%       -2.000000\n",
       "50%       -1.000000\n",
       "75%       -1.000000\n",
       "max       -1.000000"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VN_SC_minus = pivot_table(df.loc[df['ScanCount']<0], values = ['ScanCount'], index = ['VisitNumber'], aggfunc=np.sum)\n",
    "VN_SC_minus.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "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>ScanCount_minus</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VisitNumber</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>27471</th>\n",
       "      <td>-52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131193</th>\n",
       "      <td>-37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138548</th>\n",
       "      <td>-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50671</th>\n",
       "      <td>-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61053</th>\n",
       "      <td>-26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ScanCount_minus\n",
       "VisitNumber                 \n",
       "27471                    -52\n",
       "131193                   -37\n",
       "138548                   -30\n",
       "50671                    -26\n",
       "61053                    -26"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VN_SC_minus.columns = ['ScanCount_minus']\n",
    "VN_SC_minus.sort_values(by='ScanCount_minus',ascending= True).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ScanCount</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
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       "      <th>count</th>\n",
       "      <td>91547.000000</td>\n",
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       "      <th>mean</th>\n",
       "      <td>8.022611</td>\n",
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       "      <th>std</th>\n",
       "      <td>10.329336</td>\n",
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       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.000000</td>\n",
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       "      <th>50%</th>\n",
       "      <td>4.000000</td>\n",
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       "      <th>75%</th>\n",
       "      <td>10.000000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>313.000000</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "          ScanCount\n",
       "count  91547.000000\n",
       "mean       8.022611\n",
       "std       10.329336\n",
       "min        1.000000\n",
       "25%        2.000000\n",
       "50%        4.000000\n",
       "75%       10.000000\n",
       "max      313.000000"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VN_SC_plus = pivot_table(df.loc[df['ScanCount']>0], values = ['ScanCount'], index = ['VisitNumber'], aggfunc=np.sum)\n",
    "VN_SC_plus.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "      <th>ScanCount_plus</th>\n",
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       "      <th>VisitNumber</th>\n",
       "      <th></th>\n",
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       "      <th>72439</th>\n",
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       "      <th>88011</th>\n",
       "      <td>184</td>\n",
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       "      <th>178154</th>\n",
       "      <td>133</td>\n",
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      ],
      "text/plain": [
       "             ScanCount_plus\n",
       "VisitNumber                \n",
       "72439                   313\n",
       "88011                   184\n",
       "9181                    137\n",
       "65792                   133\n",
       "178154                  133"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VN_SC_plus.columns = ['ScanCount_plus']\n",
    "VN_SC_plus.sort_values(by='ScanCount_plus', ascending= False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ScanCount</th>\n",
       "      <th>ScanCount_plus</th>\n",
       "      <th>ScanCount_minus</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VisitNumber</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <td>311</td>\n",
       "      <td>313.0</td>\n",
       "      <td>-2.0</td>\n",
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       "      <th>88011</th>\n",
       "      <td>183</td>\n",
       "      <td>184.0</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9181</th>\n",
       "      <td>137</td>\n",
       "      <td>137.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65792</th>\n",
       "      <td>133</td>\n",
       "      <td>133.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>178154</th>\n",
       "      <td>133</td>\n",
       "      <td>133.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ScanCount  ScanCount_plus  ScanCount_minus\n",
       "VisitNumber                                            \n",
       "72439              311           313.0             -2.0\n",
       "88011              183           184.0             -1.0\n",
       "9181               137           137.0              0.0\n",
       "65792              133           133.0              0.0\n",
       "178154             133           133.0              0.0"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VN_2 = pd.concat([VN_SC, VN_SC_plus, VN_SC_minus],axis=1)\n",
    "VN_2 = VN_2.fillna(0)\n",
    "VN_2.sort_values(by='ScanCount_plus', ascending= False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 구매한 부문(department) 마다 구매한 갯수(ScanCount) \n",
    "--> department 를 클러스터링 한 후, 그에 대한 구매 갯수를 VN에 붙이는 게 나을 것 같음"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "VN = pivot_table(df, values = ['ScanCount'], index = ['VisitNumber'], columns=['DepartmentDescription'], aggfunc=np.sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th colspan=\"21\" halign=\"left\">ScanCount</th>\n",
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       "    <tr>\n",
       "      <th>DepartmentDescription</th>\n",
       "      <th>1-HR PHOTO</th>\n",
       "      <th>ACCESSORIES</th>\n",
       "      <th>AUTOMOTIVE</th>\n",
       "      <th>BAKERY</th>\n",
       "      <th>BATH AND SHOWER</th>\n",
       "      <th>BEAUTY</th>\n",
       "      <th>BEDDING</th>\n",
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       "      <th>...</th>\n",
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       "      <th>SERVICE DELI</th>\n",
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       "      <th>SHOES</th>\n",
       "      <th>SLEEPWEAR/FOUNDATIONS</th>\n",
       "      <th>SPORTING GOODS</th>\n",
       "      <th>SWIMWEAR/OUTERWEAR</th>\n",
       "      <th>TOYS</th>\n",
       "      <th>WIRELESS</th>\n",
       "    </tr>\n",
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       "      <th>VisitNumber</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th>5</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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",
       "      <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>191276</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191277</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191280</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191283</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191286</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191287</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191289</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191291</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191293</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191298</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191301</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191304</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191305</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191311</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191312</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191313</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191318</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191322</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191324</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191326</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191329</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191331</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191335</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191337</th>\n",
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       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191342</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>191343</th>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191344</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>191345</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>191346</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>191347</th>\n",
       "      <td>0.0</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>95516 rows × 68 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       ScanCount                                \\\n",
       "DepartmentDescription 1-HR PHOTO ACCESSORIES AUTOMOTIVE BAKERY   \n",
       "VisitNumber                                                      \n",
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       "\n",
       "                                                                          \\\n",
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       "VisitNumber                                                                \n",
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       "\n",
       "                                                   ...                      \\\n",
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       "VisitNumber                                        ...                       \n",
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       "\n",
       "                                                                              \\\n",
       "DepartmentDescription SERVICE DELI SHEER HOSIERY SHOES SLEEPWEAR/FOUNDATIONS   \n",
       "VisitNumber                                                                    \n",
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       "17                             0.0           0.0   0.0                   0.0   \n",
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       "20                             2.0           0.0   0.0                   0.0   \n",
       "23                             0.0           0.0   0.0                   0.0   \n",
       "25                             0.0           0.0   0.0                   0.0   \n",
       "26                             0.0           0.0   0.0                   0.0   \n",
       "28                             0.0           0.0   0.0                   0.0   \n",
       "29                             0.0           0.0   0.0                   0.0   \n",
       "30                             0.0           0.0   0.0                   0.0   \n",
       "31                             0.0           0.0   0.0                   0.0   \n",
       "32                             0.0           0.0   0.0                   0.0   \n",
       "33                             0.0           0.0   0.0                   0.0   \n",
       "40                             0.0           0.0   0.0                   0.0   \n",
       "41                             0.0           0.0   0.0                   0.0   \n",
       "42                             0.0           0.0   0.0                   0.0   \n",
       "43                             0.0           0.0   0.0                   0.0   \n",
       "45                             0.0           0.0   0.0                   0.0   \n",
       "47                             0.0           0.0   0.0                   0.0   \n",
       "49                             1.0           0.0   0.0                   0.0   \n",
       "50                             0.0           0.0   0.0                   0.0   \n",
       "51                             0.0           0.0   0.0                   0.0   \n",
       "53                             0.0           0.0   0.0                   0.0   \n",
       "...                            ...           ...   ...                   ...   \n",
       "191276                         0.0           0.0   0.0                   0.0   \n",
       "191277                         0.0           0.0   5.0                   0.0   \n",
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       "191283                         0.0           0.0   1.0                   0.0   \n",
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       "191287                         0.0           0.0   0.0                   0.0   \n",
       "191289                         0.0           0.0   0.0                   0.0   \n",
       "191291                         0.0           0.0   0.0                   0.0   \n",
       "191293                         0.0           0.0   0.0                   1.0   \n",
       "191298                         0.0           0.0   0.0                   0.0   \n",
       "191301                         0.0           0.0   0.0                   0.0   \n",
       "191304                         0.0           0.0   0.0                   0.0   \n",
       "191305                         0.0           0.0   0.0                   0.0   \n",
       "191311                         0.0           0.0   0.0                   0.0   \n",
       "191312                         0.0           0.0   0.0                   0.0   \n",
       "191313                         0.0           2.0   0.0                   0.0   \n",
       "191318                         0.0           0.0   0.0                   0.0   \n",
       "191322                         0.0           0.0   0.0                   0.0   \n",
       "191324                         0.0           0.0   1.0                   0.0   \n",
       "191326                         0.0           0.0   0.0                   0.0   \n",
       "191329                         0.0           0.0   0.0                   0.0   \n",
       "191331                         0.0           0.0   0.0                   0.0   \n",
       "191335                         0.0           0.0   0.0                   0.0   \n",
       "191337                         0.0           0.0   0.0                   0.0   \n",
       "191342                         0.0           0.0   0.0                   0.0   \n",
       "191343                         0.0           0.0   0.0                   0.0   \n",
       "191344                         0.0           0.0   0.0                   0.0   \n",
       "191345                         0.0           0.0   0.0                   0.0   \n",
       "191346                         0.0           0.0   0.0                   0.0   \n",
       "191347                         0.0           0.0   0.0                   0.0   \n",
       "\n",
       "                                                                       \n",
       "DepartmentDescription SPORTING GOODS SWIMWEAR/OUTERWEAR TOYS WIRELESS  \n",
       "VisitNumber                                                            \n",
       "5                                0.0                0.0  0.0      0.0  \n",
       "7                                0.0                0.0  0.0      0.0  \n",
       "8                                0.0                0.0  0.0      0.0  \n",
       "9                                0.0                0.0  0.0      0.0  \n",
       "10                               0.0                0.0  0.0      0.0  \n",
       "11                               0.0                0.0  0.0      0.0  \n",
       "12                               0.0                0.0  0.0      0.0  \n",
       "15                               0.0                0.0  0.0      0.0  \n",
       "17                               0.0                0.0  0.0      0.0  \n",
       "19                               0.0                0.0  0.0      0.0  \n",
       "20                               0.0                0.0  0.0      0.0  \n",
       "23                               0.0                0.0  0.0      0.0  \n",
       "25                               0.0                0.0  0.0      0.0  \n",
       "26                               0.0                0.0  0.0      0.0  \n",
       "28                               0.0                0.0  0.0      0.0  \n",
       "29                               0.0                0.0  0.0      0.0  \n",
       "30                               0.0                0.0  0.0      0.0  \n",
       "31                               0.0                0.0  0.0      0.0  \n",
       "32                               0.0                0.0  0.0      0.0  \n",
       "33                               0.0                0.0  0.0      0.0  \n",
       "40                               0.0                0.0  0.0      0.0  \n",
       "41                               0.0                0.0  0.0      0.0  \n",
       "42                               0.0                0.0  0.0      0.0  \n",
       "43                               0.0                0.0  0.0      0.0  \n",
       "45                               0.0                0.0  0.0      0.0  \n",
       "47                               0.0                0.0  0.0      0.0  \n",
       "49                               0.0                0.0  0.0      0.0  \n",
       "50                               0.0                0.0  0.0      0.0  \n",
       "51                               0.0                0.0  0.0      0.0  \n",
       "53                               0.0                0.0  0.0      0.0  \n",
       "...                              ...                ...  ...      ...  \n",
       "191276                           0.0                0.0  0.0      0.0  \n",
       "191277                           0.0                0.0  0.0      0.0  \n",
       "191280                           0.0                0.0  0.0      0.0  \n",
       "191283                           0.0                0.0  0.0      0.0  \n",
       "191286                           0.0                0.0  0.0      0.0  \n",
       "191287                           0.0                0.0  0.0      0.0  \n",
       "191289                           0.0                0.0  0.0      0.0  \n",
       "191291                           0.0                0.0  0.0      0.0  \n",
       "191293                           0.0                0.0  0.0      0.0  \n",
       "191298                           0.0                0.0  0.0      0.0  \n",
       "191301                           0.0                0.0  1.0      0.0  \n",
       "191304                           0.0                0.0  0.0      0.0  \n",
       "191305                           0.0                0.0  0.0      1.0  \n",
       "191311                           0.0                0.0  0.0      0.0  \n",
       "191312                           2.0                0.0  0.0      2.0  \n",
       "191313                           0.0                0.0  0.0      0.0  \n",
       "191318                           0.0                0.0  0.0      0.0  \n",
       "191322                           0.0                0.0  0.0      0.0  \n",
       "191324                           0.0                0.0  0.0      0.0  \n",
       "191326                           0.0                0.0  0.0      0.0  \n",
       "191329                           0.0                0.0  0.0      0.0  \n",
       "191331                           0.0                0.0  0.0      0.0  \n",
       "191335                           0.0                0.0  0.0      0.0  \n",
       "191337                           0.0                0.0  0.0      0.0  \n",
       "191342                           0.0                0.0  0.0      0.0  \n",
       "191343                           0.0                0.0  0.0      0.0  \n",
       "191344                           0.0                0.0  0.0      1.0  \n",
       "191345                           0.0                0.0  0.0      0.0  \n",
       "191346                           0.0                0.0  0.0      0.0  \n",
       "191347                           0.0                0.0  0.0      0.0  \n",
       "\n",
       "[95516 rows x 68 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VN = VN.fillna(0)\n",
    "VN"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### depart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df.sort_values(by = 'VisitNumber', ascending = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 방문 요일 encoding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_weekday = df[\"Weekday\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(647054, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>W_Friday</th>\n",
       "      <th>W_Monday</th>\n",
       "      <th>W_Saturday</th>\n",
       "      <th>W_Sunday</th>\n",
       "      <th>W_Thursday</th>\n",
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       "      <th>W_Wednesday</th>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   W_Friday  W_Monday  W_Saturday  W_Sunday  W_Thursday  W_Tuesday  \\\n",
       "0         1         0           0         0           0          0   \n",
       "1         1         0           0         0           0          0   \n",
       "2         1         0           0         0           0          0   \n",
       "3         1         0           0         0           0          0   \n",
       "4         1         0           0         0           0          0   \n",
       "\n",
       "   W_Wednesday  \n",
       "0            0  \n",
       "1            0  \n",
       "2            0  \n",
       "3            0  \n",
       "4            0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_weekday = pd.get_dummies(df[\"Weekday\"], prefix=\"W\")\n",
    "print(df_weekday.shape)\n",
    "df_weekday.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(647054, 14)\n"
     ]
    },
    {
     "data": {
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       "    }\n",
       "\n",
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       "        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>TripType</th>\n",
       "      <th>VisitNumber</th>\n",
       "      <th>Weekday</th>\n",
       "      <th>Upc</th>\n",
       "      <th>ScanCount</th>\n",
       "      <th>DepartmentDescription</th>\n",
       "      <th>FinelineNumber</th>\n",
       "      <th>W_Friday</th>\n",
       "      <th>W_Monday</th>\n",
       "      <th>W_Saturday</th>\n",
       "      <th>W_Sunday</th>\n",
       "      <th>W_Thursday</th>\n",
       "      <th>W_Tuesday</th>\n",
       "      <th>W_Wednesday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>999</td>\n",
       "      <td>5</td>\n",
       "      <td>Friday</td>\n",
       "      <td>68113152929.000000</td>\n",
       "      <td>-1</td>\n",
       "      <td>FINANCIAL SERVICES</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>Friday</td>\n",
       "      <td>60538815980.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>SHOES</td>\n",
       "      <td>8931.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>Friday</td>\n",
       "      <td>7410811099.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>PERSONAL CARE</td>\n",
       "      <td>4504.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "      <td>Friday</td>\n",
       "      <td>2238403510.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>PAINT AND ACCESSORIES</td>\n",
       "      <td>3565.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "      <td>Friday</td>\n",
       "      <td>2006613744.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>PAINT AND ACCESSORIES</td>\n",
       "      <td>1017.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   TripType  VisitNumber Weekday                 Upc  ScanCount  \\\n",
       "0       999            5  Friday  68113152929.000000         -1   \n",
       "1        30            7  Friday  60538815980.000000          1   \n",
       "2        30            7  Friday   7410811099.000000          1   \n",
       "3        26            8  Friday   2238403510.000000          2   \n",
       "4        26            8  Friday   2006613744.000000          2   \n",
       "\n",
       "   DepartmentDescription  FinelineNumber  W_Friday  W_Monday  W_Saturday  \\\n",
       "0     FINANCIAL SERVICES          1000.0         1         0           0   \n",
       "1                  SHOES          8931.0         1         0           0   \n",
       "2          PERSONAL CARE          4504.0         1         0           0   \n",
       "3  PAINT AND ACCESSORIES          3565.0         1         0           0   \n",
       "4  PAINT AND ACCESSORIES          1017.0         1         0           0   \n",
       "\n",
       "   W_Sunday  W_Thursday  W_Tuesday  W_Wednesday  \n",
       "0         0           0          0            0  \n",
       "1         0           0          0            0  \n",
       "2         0           0          0            0  \n",
       "3         0           0          0            0  \n",
       "4         0           0          0            0  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.concat([df, df_weekday], axis=1)\n",
    "\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 카테고리별 특징"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>ScanCount</th>\n",
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       "      <th>W_Thursday</th>\n",
       "      <th>W_Tuesday</th>\n",
       "      <th>W_Wednesday</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1-HR PHOTO</th>\n",
       "      <td>453</td>\n",
       "      <td>50.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACCESSORIES</th>\n",
       "      <td>1244</td>\n",
       "      <td>171.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>136.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUTOMOTIVE</th>\n",
       "      <td>5466</td>\n",
       "      <td>823.0</td>\n",
       "      <td>618.0</td>\n",
       "      <td>1092.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>577.0</td>\n",
       "      <td>555.0</td>\n",
       "      <td>637.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAKERY</th>\n",
       "      <td>8304</td>\n",
       "      <td>1120.0</td>\n",
       "      <td>934.0</td>\n",
       "      <td>1280.0</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>833.0</td>\n",
       "      <td>902.0</td>\n",
       "      <td>773.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BATH AND SHOWER</th>\n",
       "      <td>4901</td>\n",
       "      <td>698.0</td>\n",
       "      <td>497.0</td>\n",
       "      <td>917.0</td>\n",
       "      <td>934.0</td>\n",
       "      <td>514.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>526.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BEAUTY</th>\n",
       "      <td>15077</td>\n",
       "      <td>2296.0</td>\n",
       "      <td>1987.0</td>\n",
       "      <td>2802.0</td>\n",
       "      <td>2754.0</td>\n",
       "      <td>1689.0</td>\n",
       "      <td>1646.0</td>\n",
       "      <td>1691.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BEDDING</th>\n",
       "      <td>2372</td>\n",
       "      <td>315.0</td>\n",
       "      <td>344.0</td>\n",
       "      <td>369.0</td>\n",
       "      <td>440.0</td>\n",
       "      <td>313.0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>279.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BOOKS AND MAGAZINES</th>\n",
       "      <td>981</td>\n",
       "      <td>115.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>249.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>106.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BOYS WEAR</th>\n",
       "      <td>3675</td>\n",
       "      <td>497.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>735.0</td>\n",
       "      <td>874.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>391.0</td>\n",
       "      <td>403.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRAS &amp; SHAPEWEAR</th>\n",
       "      <td>1741</td>\n",
       "      <td>368.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>389.0</td>\n",
       "      <td>371.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>201.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAMERAS AND SUPPLIES</th>\n",
       "      <td>184</td>\n",
       "      <td>38.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CANDY, TOBACCO, COOKIES</th>\n",
       "      <td>11745</td>\n",
       "      <td>1744.0</td>\n",
       "      <td>1123.0</td>\n",
       "      <td>1651.0</td>\n",
       "      <td>1746.0</td>\n",
       "      <td>1230.0</td>\n",
       "      <td>1202.0</td>\n",
       "      <td>1112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CELEBRATION</th>\n",
       "      <td>9957</td>\n",
       "      <td>1657.0</td>\n",
       "      <td>891.0</td>\n",
       "      <td>1932.0</td>\n",
       "      <td>1371.0</td>\n",
       "      <td>985.0</td>\n",
       "      <td>798.0</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMM BREAD</th>\n",
       "      <td>17516</td>\n",
       "      <td>2104.0</td>\n",
       "      <td>2193.0</td>\n",
       "      <td>2631.0</td>\n",
       "      <td>3324.0</td>\n",
       "      <td>1442.0</td>\n",
       "      <td>1878.0</td>\n",
       "      <td>1672.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CONCEPT STORES</th>\n",
       "      <td>40</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COOK AND DINE</th>\n",
       "      <td>8102</td>\n",
       "      <td>1159.0</td>\n",
       "      <td>998.0</td>\n",
       "      <td>1439.0</td>\n",
       "      <td>1570.0</td>\n",
       "      <td>790.0</td>\n",
       "      <td>895.0</td>\n",
       "      <td>749.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DAIRY</th>\n",
       "      <td>50550</td>\n",
       "      <td>5813.0</td>\n",
       "      <td>5983.0</td>\n",
       "      <td>7978.0</td>\n",
       "      <td>9992.0</td>\n",
       "      <td>4348.0</td>\n",
       "      <td>5098.0</td>\n",
       "      <td>4608.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DSD GROCERY</th>\n",
       "      <td>79814</td>\n",
       "      <td>10153.0</td>\n",
       "      <td>8717.0</td>\n",
       "      <td>12785.0</td>\n",
       "      <td>14583.0</td>\n",
       "      <td>7222.0</td>\n",
       "      <td>7589.0</td>\n",
       "      <td>7283.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ELECTRONICS</th>\n",
       "      <td>2392</td>\n",
       "      <td>508.0</td>\n",
       "      <td>385.0</td>\n",
       "      <td>579.0</td>\n",
       "      <td>599.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>367.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FABRICS AND CRAFTS</th>\n",
       "      <td>5643</td>\n",
       "      <td>754.0</td>\n",
       "      <td>755.0</td>\n",
       "      <td>870.0</td>\n",
       "      <td>877.0</td>\n",
       "      <td>703.0</td>\n",
       "      <td>505.0</td>\n",
       "      <td>587.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINANCIAL SERVICES</th>\n",
       "      <td>8983</td>\n",
       "      <td>1945.0</td>\n",
       "      <td>1443.0</td>\n",
       "      <td>1867.0</td>\n",
       "      <td>1585.0</td>\n",
       "      <td>1159.0</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>1324.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FROZEN FOODS</th>\n",
       "      <td>25368</td>\n",
       "      <td>2936.0</td>\n",
       "      <td>2656.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>4796.0</td>\n",
       "      <td>2080.0</td>\n",
       "      <td>2280.0</td>\n",
       "      <td>2353.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FURNITURE</th>\n",
       "      <td>507</td>\n",
       "      <td>84.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GIRLS WEAR, 4-6X  AND 7-14</th>\n",
       "      <td>4314</td>\n",
       "      <td>598.0</td>\n",
       "      <td>513.0</td>\n",
       "      <td>849.0</td>\n",
       "      <td>1015.0</td>\n",
       "      <td>554.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>497.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GROCERY DRY GOODS</th>\n",
       "      <td>88718</td>\n",
       "      <td>10109.0</td>\n",
       "      <td>9355.0</td>\n",
       "      <td>13096.0</td>\n",
       "      <td>15417.0</td>\n",
       "      <td>6801.0</td>\n",
       "      <td>8087.0</td>\n",
       "      <td>7537.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HARDWARE</th>\n",
       "      <td>4915</td>\n",
       "      <td>716.0</td>\n",
       "      <td>639.0</td>\n",
       "      <td>932.0</td>\n",
       "      <td>1047.0</td>\n",
       "      <td>471.0</td>\n",
       "      <td>551.0</td>\n",
       "      <td>557.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HEALTH AND BEAUTY AIDS</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOME DECOR</th>\n",
       "      <td>4458</td>\n",
       "      <td>646.0</td>\n",
       "      <td>482.0</td>\n",
       "      <td>843.0</td>\n",
       "      <td>706.0</td>\n",
       "      <td>497.0</td>\n",
       "      <td>484.0</td>\n",
       "      <td>509.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOME MANAGEMENT</th>\n",
       "      <td>7290</td>\n",
       "      <td>1036.0</td>\n",
       "      <td>861.0</td>\n",
       "      <td>1191.0</td>\n",
       "      <td>1217.0</td>\n",
       "      <td>609.0</td>\n",
       "      <td>759.0</td>\n",
       "      <td>676.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HORTICULTURE AND ACCESS</th>\n",
       "      <td>4423</td>\n",
       "      <td>484.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>623.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>317.0</td>\n",
       "      <td>327.0</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>LARGE HOUSEHOLD GOODS</th>\n",
       "      <td>77</td>\n",
       "      <td>18.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAWN AND GARDEN</th>\n",
       "      <td>5864</td>\n",
       "      <td>812.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>1196.0</td>\n",
       "      <td>1127.0</td>\n",
       "      <td>520.0</td>\n",
       "      <td>512.0</td>\n",
       "      <td>559.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LIQUOR,WINE,BEER</th>\n",
       "      <td>4532</td>\n",
       "      <td>733.0</td>\n",
       "      <td>410.0</td>\n",
       "      <td>943.0</td>\n",
       "      <td>548.0</td>\n",
       "      <td>459.0</td>\n",
       "      <td>369.0</td>\n",
       "      <td>399.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEAT - FRESH &amp; FROZEN</th>\n",
       "      <td>10882</td>\n",
       "      <td>1366.0</td>\n",
       "      <td>1322.0</td>\n",
       "      <td>1840.0</td>\n",
       "      <td>2177.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>891.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEDIA AND GAMING</th>\n",
       "      <td>1809</td>\n",
       "      <td>337.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>487.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>167.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MENS WEAR</th>\n",
       "      <td>11690</td>\n",
       "      <td>1766.0</td>\n",
       "      <td>1449.0</td>\n",
       "      <td>2355.0</td>\n",
       "      <td>2798.0</td>\n",
       "      <td>1174.0</td>\n",
       "      <td>1399.0</td>\n",
       "      <td>1309.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MENSWEAR</th>\n",
       "      <td>302</td>\n",
       "      <td>37.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OFFICE SUPPLIES</th>\n",
       "      <td>7736</td>\n",
       "      <td>949.0</td>\n",
       "      <td>907.0</td>\n",
       "      <td>1103.0</td>\n",
       "      <td>1183.0</td>\n",
       "      <td>749.0</td>\n",
       "      <td>844.0</td>\n",
       "      <td>843.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OPTICAL - FRAMES</th>\n",
       "      <td>602</td>\n",
       "      <td>114.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OPTICAL - LENSES</th>\n",
       "      <td>87</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OTHER DEPARTMENTS</th>\n",
       "      <td>29</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PAINT AND ACCESSORIES</th>\n",
       "      <td>1880</td>\n",
       "      <td>308.0</td>\n",
       "      <td>236.0</td>\n",
       "      <td>309.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>263.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PERSONAL CARE</th>\n",
       "      <td>44819</td>\n",
       "      <td>6253.0</td>\n",
       "      <td>5387.0</td>\n",
       "      <td>7997.0</td>\n",
       "      <td>8904.0</td>\n",
       "      <td>4408.0</td>\n",
       "      <td>4385.0</td>\n",
       "      <td>4635.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PETS AND SUPPLIES</th>\n",
       "      <td>12592</td>\n",
       "      <td>1497.0</td>\n",
       "      <td>1141.0</td>\n",
       "      <td>2136.0</td>\n",
       "      <td>1869.0</td>\n",
       "      <td>1061.0</td>\n",
       "      <td>1066.0</td>\n",
       "      <td>991.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PHARMACY OTC</th>\n",
       "      <td>25620</td>\n",
       "      <td>3585.0</td>\n",
       "      <td>3007.0</td>\n",
       "      <td>4182.0</td>\n",
       "      <td>4364.0</td>\n",
       "      <td>2621.0</td>\n",
       "      <td>2735.0</td>\n",
       "      <td>2812.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PHARMACY RX</th>\n",
       "      <td>2818</td>\n",
       "      <td>467.0</td>\n",
       "      <td>386.0</td>\n",
       "      <td>451.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>420.0</td>\n",
       "      <td>451.0</td>\n",
       "      <td>480.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLAYERS AND ELECTRONICS</th>\n",
       "      <td>627</td>\n",
       "      <td>144.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLUS AND MATERNITY</th>\n",
       "      <td>499</td>\n",
       "      <td>111.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRE PACKED DELI</th>\n",
       "      <td>10722</td>\n",
       "      <td>1268.0</td>\n",
       "      <td>1288.0</td>\n",
       "      <td>1698.0</td>\n",
       "      <td>2101.0</td>\n",
       "      <td>838.0</td>\n",
       "      <td>980.0</td>\n",
       "      <td>879.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRODUCE</th>\n",
       "      <td>52813</td>\n",
       "      <td>6983.0</td>\n",
       "      <td>7056.0</td>\n",
       "      <td>9205.0</td>\n",
       "      <td>11528.0</td>\n",
       "      <td>5120.0</td>\n",
       "      <td>5815.0</td>\n",
       "      <td>5408.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SEAFOOD</th>\n",
       "      <td>2202</td>\n",
       "      <td>286.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>359.0</td>\n",
       "      <td>455.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>212.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SEASONAL</th>\n",
       "      <td>27</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SERVICE DELI</th>\n",
       "      <td>10777</td>\n",
       "      <td>1638.0</td>\n",
       "      <td>1322.0</td>\n",
       "      <td>1614.0</td>\n",
       "      <td>1717.0</td>\n",
       "      <td>1297.0</td>\n",
       "      <td>1327.0</td>\n",
       "      <td>1212.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHEER HOSIERY</th>\n",
       "      <td>532</td>\n",
       "      <td>88.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHOES</th>\n",
       "      <td>5755</td>\n",
       "      <td>794.0</td>\n",
       "      <td>778.0</td>\n",
       "      <td>1233.0</td>\n",
       "      <td>1419.0</td>\n",
       "      <td>611.0</td>\n",
       "      <td>655.0</td>\n",
       "      <td>609.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLEEPWEAR/FOUNDATIONS</th>\n",
       "      <td>2205</td>\n",
       "      <td>366.0</td>\n",
       "      <td>305.0</td>\n",
       "      <td>463.0</td>\n",
       "      <td>449.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SPORTING GOODS</th>\n",
       "      <td>5144</td>\n",
       "      <td>786.0</td>\n",
       "      <td>562.0</td>\n",
       "      <td>974.0</td>\n",
       "      <td>1079.0</td>\n",
       "      <td>649.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>554.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SWIMWEAR/OUTERWEAR</th>\n",
       "      <td>591</td>\n",
       "      <td>125.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOYS</th>\n",
       "      <td>6210</td>\n",
       "      <td>944.0</td>\n",
       "      <td>682.0</td>\n",
       "      <td>1371.0</td>\n",
       "      <td>1426.0</td>\n",
       "      <td>579.0</td>\n",
       "      <td>519.0</td>\n",
       "      <td>586.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WIRELESS</th>\n",
       "      <td>1600</td>\n",
       "      <td>301.0</td>\n",
       "      <td>224.0</td>\n",
       "      <td>336.0</td>\n",
       "      <td>331.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>214.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            ScanCount  W_Friday  W_Monday  W_Saturday  \\\n",
       "DepartmentDescription                                                   \n",
       "1-HR PHOTO                        453      50.0      51.0        52.0   \n",
       "ACCESSORIES                      1244     171.0     175.0       258.0   \n",
       "AUTOMOTIVE                       5466     823.0     618.0      1092.0   \n",
       "BAKERY                           8304    1120.0     934.0      1280.0   \n",
       "BATH AND SHOWER                  4901     698.0     497.0       917.0   \n",
       "BEAUTY                          15077    2296.0    1987.0      2802.0   \n",
       "BEDDING                          2372     315.0     344.0       369.0   \n",
       "BOOKS AND MAGAZINES               981     115.0     110.0       249.0   \n",
       "BOYS WEAR                        3675     497.0     496.0       735.0   \n",
       "BRAS & SHAPEWEAR                 1741     368.0     221.0       389.0   \n",
       "CAMERAS AND SUPPLIES              184      38.0      21.0        42.0   \n",
       "CANDY, TOBACCO, COOKIES         11745    1744.0    1123.0      1651.0   \n",
       "CELEBRATION                      9957    1657.0     891.0      1932.0   \n",
       "COMM BREAD                      17516    2104.0    2193.0      2631.0   \n",
       "CONCEPT STORES                     40       1.0       7.0        10.0   \n",
       "COOK AND DINE                    8102    1159.0     998.0      1439.0   \n",
       "DAIRY                           50550    5813.0    5983.0      7978.0   \n",
       "DSD GROCERY                     79814   10153.0    8717.0     12785.0   \n",
       "ELECTRONICS                      2392     508.0     385.0       579.0   \n",
       "FABRICS AND CRAFTS               5643     754.0     755.0       870.0   \n",
       "FINANCIAL SERVICES               8983    1945.0    1443.0      1867.0   \n",
       "FROZEN FOODS                    25368    2936.0    2656.0      4000.0   \n",
       "FURNITURE                         507      84.0      44.0       104.0   \n",
       "GIRLS WEAR, 4-6X  AND 7-14       4314     598.0     513.0       849.0   \n",
       "GROCERY DRY GOODS               88718   10109.0    9355.0     13096.0   \n",
       "HARDWARE                         4915     716.0     639.0       932.0   \n",
       "HEALTH AND BEAUTY AIDS              0       0.0       0.0         1.0   \n",
       "HOME DECOR                       4458     646.0     482.0       843.0   \n",
       "HOME MANAGEMENT                  7290    1036.0     861.0      1191.0   \n",
       "HORTICULTURE AND ACCESS          4423     484.0     289.0       600.0   \n",
       "...                               ...       ...       ...         ...   \n",
       "LARGE HOUSEHOLD GOODS              77      18.0       5.0        11.0   \n",
       "LAWN AND GARDEN                  5864     812.0     543.0      1196.0   \n",
       "LIQUOR,WINE,BEER                 4532     733.0     410.0       943.0   \n",
       "MEAT - FRESH & FROZEN           10882    1366.0    1322.0      1840.0   \n",
       "MEDIA AND GAMING                 1809     337.0     220.0       413.0   \n",
       "MENS WEAR                       11690    1766.0    1449.0      2355.0   \n",
       "MENSWEAR                          302      37.0      55.0        62.0   \n",
       "OFFICE SUPPLIES                  7736     949.0     907.0      1103.0   \n",
       "OPTICAL - FRAMES                  602     114.0      61.0       154.0   \n",
       "OPTICAL - LENSES                   87      20.0       0.0        16.0   \n",
       "OTHER DEPARTMENTS                  29       8.0       0.0         6.0   \n",
       "PAINT AND ACCESSORIES            1880     308.0     236.0       309.0   \n",
       "PERSONAL CARE                   44819    6253.0    5387.0      7997.0   \n",
       "PETS AND SUPPLIES               12592    1497.0    1141.0      2136.0   \n",
       "PHARMACY OTC                    25620    3585.0    3007.0      4182.0   \n",
       "PHARMACY RX                      2818     467.0     386.0       451.0   \n",
       "PLAYERS AND ELECTRONICS           627     144.0      71.0       161.0   \n",
       "PLUS AND MATERNITY                499     111.0      53.0       128.0   \n",
       "PRE PACKED DELI                 10722    1268.0    1288.0      1698.0   \n",
       "PRODUCE                         52813    6983.0    7056.0      9205.0   \n",
       "SEAFOOD                          2202     286.0     234.0       359.0   \n",
       "SEASONAL                           27       6.0       4.0         3.0   \n",
       "SERVICE DELI                    10777    1638.0    1322.0      1614.0   \n",
       "SHEER HOSIERY                     532      88.0      50.0       112.0   \n",
       "SHOES                            5755     794.0     778.0      1233.0   \n",
       "SLEEPWEAR/FOUNDATIONS            2205     366.0     305.0       463.0   \n",
       "SPORTING GOODS                   5144     786.0     562.0       974.0   \n",
       "SWIMWEAR/OUTERWEAR                591     125.0     111.0       169.0   \n",
       "TOYS                             6210     944.0     682.0      1371.0   \n",
       "WIRELESS                         1600     301.0     224.0       336.0   \n",
       "\n",
       "                            W_Sunday  W_Thursday  W_Tuesday  W_Wednesday  \n",
       "DepartmentDescription                                                     \n",
       "1-HR PHOTO                      66.0        66.0       57.0         52.0  \n",
       "ACCESSORIES                    287.0       148.0      143.0        136.0  \n",
       "AUTOMOTIVE                    1112.0       577.0      555.0        637.0  \n",
       "BAKERY                        1326.0       833.0      902.0        773.0  \n",
       "BATH AND SHOWER                934.0       514.0      496.0        526.0  \n",
       "BEAUTY                        2754.0      1689.0     1646.0       1691.0  \n",
       "BEDDING                        440.0       313.0      247.0        279.0  \n",
       "BOOKS AND MAGAZINES            245.0        79.0       88.0        106.0  \n",
       "BOYS WEAR                      874.0       496.0      391.0        403.0  \n",
       "BRAS & SHAPEWEAR               371.0       276.0      210.0        201.0  \n",
       "CAMERAS AND SUPPLIES            43.0        28.0       26.0         23.0  \n",
       "CANDY, TOBACCO, COOKIES       1746.0      1230.0     1202.0       1112.0  \n",
       "CELEBRATION                   1371.0       985.0      798.0       1064.0  \n",
       "COMM BREAD                    3324.0      1442.0     1878.0       1672.0  \n",
       "CONCEPT STORES                   3.0         3.0        3.0          8.0  \n",
       "COOK AND DINE                 1570.0       790.0      895.0        749.0  \n",
       "DAIRY                         9992.0      4348.0     5098.0       4608.0  \n",
       "DSD GROCERY                  14583.0      7222.0     7589.0       7283.0  \n",
       "ELECTRONICS                    599.0       373.0      379.0        367.0  \n",
       "FABRICS AND CRAFTS             877.0       703.0      505.0        587.0  \n",
       "FINANCIAL SERVICES            1585.0      1159.0     1400.0       1324.0  \n",
       "FROZEN FOODS                  4796.0      2080.0     2280.0       2353.0  \n",
       "FURNITURE                       79.0        62.0       45.0         59.0  \n",
       "GIRLS WEAR, 4-6X  AND 7-14    1015.0       554.0      490.0        497.0  \n",
       "GROCERY DRY GOODS            15417.0      6801.0     8087.0       7537.0  \n",
       "HARDWARE                      1047.0       471.0      551.0        557.0  \n",
       "HEALTH AND BEAUTY AIDS           0.0         0.0        0.0          1.0  \n",
       "HOME DECOR                     706.0       497.0      484.0        509.0  \n",
       "HOME MANAGEMENT               1217.0       609.0      759.0        676.0  \n",
       "HORTICULTURE AND ACCESS        623.0       253.0      317.0        327.0  \n",
       "...                              ...         ...        ...          ...  \n",
       "LARGE HOUSEHOLD GOODS           10.0         5.0       13.0         15.0  \n",
       "LAWN AND GARDEN               1127.0       520.0      512.0        559.0  \n",
       "LIQUOR,WINE,BEER               548.0       459.0      369.0        399.0  \n",
       "MEAT - FRESH & FROZEN         2177.0       880.0     1001.0        891.0  \n",
       "MEDIA AND GAMING               487.0       206.0      163.0        167.0  \n",
       "MENS WEAR                     2798.0      1174.0     1399.0       1309.0  \n",
       "MENSWEAR                        73.0        41.0       40.0         30.0  \n",
       "OFFICE SUPPLIES               1183.0       749.0      844.0        843.0  \n",
       "OPTICAL - FRAMES                42.0        45.0       88.0         75.0  \n",
       "OPTICAL - LENSES                 0.0        12.0       20.0         17.0  \n",
       "OTHER DEPARTMENTS               11.0         3.0        1.0          0.0  \n",
       "PAINT AND ACCESSORIES          277.0       172.0      155.0        263.0  \n",
       "PERSONAL CARE                 8904.0      4408.0     4385.0       4635.0  \n",
       "PETS AND SUPPLIES             1869.0      1061.0     1066.0        991.0  \n",
       "PHARMACY OTC                  4364.0      2621.0     2735.0       2812.0  \n",
       "PHARMACY RX                    267.0       420.0      451.0        480.0  \n",
       "PLAYERS AND ELECTRONICS        122.0        90.0       54.0         44.0  \n",
       "PLUS AND MATERNITY              81.0        65.0       89.0         64.0  \n",
       "PRE PACKED DELI               2101.0       838.0      980.0        879.0  \n",
       "PRODUCE                      11528.0      5120.0     5815.0       5408.0  \n",
       "SEAFOOD                        455.0       175.0      202.0        212.0  \n",
       "SEASONAL                         5.0         6.0        3.0          2.0  \n",
       "SERVICE DELI                  1717.0      1297.0     1327.0       1212.0  \n",
       "SHEER HOSIERY                   63.0        46.0       28.0         47.0  \n",
       "SHOES                         1419.0       611.0      655.0        609.0  \n",
       "SLEEPWEAR/FOUNDATIONS          449.0       308.0      237.0        248.0  \n",
       "SPORTING GOODS                1079.0       649.0      483.0        554.0  \n",
       "SWIMWEAR/OUTERWEAR             170.0       138.0       72.0         75.0  \n",
       "TOYS                          1426.0       579.0      519.0        586.0  \n",
       "WIRELESS                       331.0       277.0      215.0        214.0  \n",
       "\n",
       "[68 rows x 8 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "depart = pivot_table(df, values = ['ScanCount', 'W_Monday', 'W_Tuesday', 'W_Wednesday','W_Thursday', 'W_Friday', 'W_Saturday','W_Sunday'], index = ['DepartmentDescription'], aggfunc=np.sum)\n",
    "depart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "scrolled": false
   },
   "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>ScanCount</th>\n",
       "      <th>W_Friday</th>\n",
       "      <th>W_Monday</th>\n",
       "      <th>W_Saturday</th>\n",
       "      <th>W_Sunday</th>\n",
       "      <th>W_Thursday</th>\n",
       "      <th>W_Tuesday</th>\n",
       "      <th>W_Wednesday</th>\n",
       "      <th>N_Shopper</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DepartmentDescription</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1-HR PHOTO</th>\n",
       "      <td>453</td>\n",
       "      <td>50.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>394.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACCESSORIES</th>\n",
       "      <td>1244</td>\n",
       "      <td>171.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>1318.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUTOMOTIVE</th>\n",
       "      <td>5466</td>\n",
       "      <td>823.0</td>\n",
       "      <td>618.0</td>\n",
       "      <td>1092.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>577.0</td>\n",
       "      <td>555.0</td>\n",
       "      <td>637.0</td>\n",
       "      <td>5414.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAKERY</th>\n",
       "      <td>8304</td>\n",
       "      <td>1120.0</td>\n",
       "      <td>934.0</td>\n",
       "      <td>1280.0</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>833.0</td>\n",
       "      <td>902.0</td>\n",
       "      <td>773.0</td>\n",
       "      <td>7168.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BATH AND SHOWER</th>\n",
       "      <td>4901</td>\n",
       "      <td>698.0</td>\n",
       "      <td>497.0</td>\n",
       "      <td>917.0</td>\n",
       "      <td>934.0</td>\n",
       "      <td>514.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>526.0</td>\n",
       "      <td>4582.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       ScanCount  W_Friday  W_Monday  W_Saturday  W_Sunday  \\\n",
       "DepartmentDescription                                                        \n",
       "1-HR PHOTO                   453      50.0      51.0        52.0      66.0   \n",
       "ACCESSORIES                 1244     171.0     175.0       258.0     287.0   \n",
       "AUTOMOTIVE                  5466     823.0     618.0      1092.0    1112.0   \n",
       "BAKERY                      8304    1120.0     934.0      1280.0    1326.0   \n",
       "BATH AND SHOWER             4901     698.0     497.0       917.0     934.0   \n",
       "\n",
       "                       W_Thursday  W_Tuesday  W_Wednesday  N_Shopper  \n",
       "DepartmentDescription                                                 \n",
       "1-HR PHOTO                   66.0       57.0         52.0      394.0  \n",
       "ACCESSORIES                 148.0      143.0        136.0     1318.0  \n",
       "AUTOMOTIVE                  577.0      555.0        637.0     5414.0  \n",
       "BAKERY                      833.0      902.0        773.0     7168.0  \n",
       "BATH AND SHOWER             514.0      496.0        526.0     4582.0  "
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table['N_Shopper']=table.iloc[:,1:8].sum(axis=1)\n",
    "table.shape\n",
    "table.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "table2 = pd.DataFrame(table)\n",
    "table2[['N_per_shopper','W_Monday_p', 'W_Tuesday_p', 'W_Wednesday_p','W_Thursday_p', 'W_Friday_p', 'W_Saturday_p','W_Sunday_p']] = table[['ScanCount','W_Monday', 'W_Tuesday', 'W_Wednesday','W_Thursday', 'W_Friday', 'W_Saturday','W_Sunday']].div(table['N_Shopper'].values,axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ScanCount</th>\n",
       "      <th>W_Friday</th>\n",
       "      <th>W_Monday</th>\n",
       "      <th>W_Saturday</th>\n",
       "      <th>W_Sunday</th>\n",
       "      <th>W_Thursday</th>\n",
       "      <th>W_Tuesday</th>\n",
       "      <th>W_Wednesday</th>\n",
       "      <th>N_Shopper</th>\n",
       "      <th>N_per_shopper</th>\n",
       "      <th>W_Monday_p</th>\n",
       "      <th>W_Tuesday_p</th>\n",
       "      <th>W_Wednesday_p</th>\n",
       "      <th>W_Thursday_p</th>\n",
       "      <th>W_Friday_p</th>\n",
       "      <th>W_Saturday_p</th>\n",
       "      <th>W_Sunday_p</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DepartmentDescription</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1-HR PHOTO</th>\n",
       "      <td>453</td>\n",
       "      <td>50.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>394.0</td>\n",
       "      <td>1.149746</td>\n",
       "      <td>0.129442</td>\n",
       "      <td>0.144670</td>\n",
       "      <td>0.131980</td>\n",
       "      <td>0.167513</td>\n",
       "      <td>0.126904</td>\n",
       "      <td>0.131980</td>\n",
       "      <td>0.167513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACCESSORIES</th>\n",
       "      <td>1244</td>\n",
       "      <td>171.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>1318.0</td>\n",
       "      <td>0.943854</td>\n",
       "      <td>0.132777</td>\n",
       "      <td>0.108498</td>\n",
       "      <td>0.103187</td>\n",
       "      <td>0.112291</td>\n",
       "      <td>0.129742</td>\n",
       "      <td>0.195751</td>\n",
       "      <td>0.217754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUTOMOTIVE</th>\n",
       "      <td>5466</td>\n",
       "      <td>823.0</td>\n",
       "      <td>618.0</td>\n",
       "      <td>1092.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>577.0</td>\n",
       "      <td>555.0</td>\n",
       "      <td>637.0</td>\n",
       "      <td>5414.0</td>\n",
       "      <td>1.009605</td>\n",
       "      <td>0.114149</td>\n",
       "      <td>0.102512</td>\n",
       "      <td>0.117658</td>\n",
       "      <td>0.106576</td>\n",
       "      <td>0.152013</td>\n",
       "      <td>0.201699</td>\n",
       "      <td>0.205393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAKERY</th>\n",
       "      <td>8304</td>\n",
       "      <td>1120.0</td>\n",
       "      <td>934.0</td>\n",
       "      <td>1280.0</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>833.0</td>\n",
       "      <td>902.0</td>\n",
       "      <td>773.0</td>\n",
       "      <td>7168.0</td>\n",
       "      <td>1.158482</td>\n",
       "      <td>0.130301</td>\n",
       "      <td>0.125837</td>\n",
       "      <td>0.107840</td>\n",
       "      <td>0.116211</td>\n",
       "      <td>0.156250</td>\n",
       "      <td>0.178571</td>\n",
       "      <td>0.184989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BATH AND SHOWER</th>\n",
       "      <td>4901</td>\n",
       "      <td>698.0</td>\n",
       "      <td>497.0</td>\n",
       "      <td>917.0</td>\n",
       "      <td>934.0</td>\n",
       "      <td>514.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>526.0</td>\n",
       "      <td>4582.0</td>\n",
       "      <td>1.069620</td>\n",
       "      <td>0.108468</td>\n",
       "      <td>0.108250</td>\n",
       "      <td>0.114797</td>\n",
       "      <td>0.112178</td>\n",
       "      <td>0.152335</td>\n",
       "      <td>0.200131</td>\n",
       "      <td>0.203841</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       ScanCount  W_Friday  W_Monday  W_Saturday  W_Sunday  \\\n",
       "DepartmentDescription                                                        \n",
       "1-HR PHOTO                   453      50.0      51.0        52.0      66.0   \n",
       "ACCESSORIES                 1244     171.0     175.0       258.0     287.0   \n",
       "AUTOMOTIVE                  5466     823.0     618.0      1092.0    1112.0   \n",
       "BAKERY                      8304    1120.0     934.0      1280.0    1326.0   \n",
       "BATH AND SHOWER             4901     698.0     497.0       917.0     934.0   \n",
       "\n",
       "                       W_Thursday  W_Tuesday  W_Wednesday  N_Shopper  \\\n",
       "DepartmentDescription                                                  \n",
       "1-HR PHOTO                   66.0       57.0         52.0      394.0   \n",
       "ACCESSORIES                 148.0      143.0        136.0     1318.0   \n",
       "AUTOMOTIVE                  577.0      555.0        637.0     5414.0   \n",
       "BAKERY                      833.0      902.0        773.0     7168.0   \n",
       "BATH AND SHOWER             514.0      496.0        526.0     4582.0   \n",
       "\n",
       "                       N_per_shopper  W_Monday_p  W_Tuesday_p  W_Wednesday_p  \\\n",
       "DepartmentDescription                                                          \n",
       "1-HR PHOTO                  1.149746    0.129442     0.144670       0.131980   \n",
       "ACCESSORIES                 0.943854    0.132777     0.108498       0.103187   \n",
       "AUTOMOTIVE                  1.009605    0.114149     0.102512       0.117658   \n",
       "BAKERY                      1.158482    0.130301     0.125837       0.107840   \n",
       "BATH AND SHOWER             1.069620    0.108468     0.108250       0.114797   \n",
       "\n",
       "                       W_Thursday_p  W_Friday_p  W_Saturday_p  W_Sunday_p  \n",
       "DepartmentDescription                                                      \n",
       "1-HR PHOTO                 0.167513    0.126904      0.131980    0.167513  \n",
       "ACCESSORIES                0.112291    0.129742      0.195751    0.217754  \n",
       "AUTOMOTIVE                 0.106576    0.152013      0.201699    0.205393  \n",
       "BAKERY                     0.116211    0.156250      0.178571    0.184989  \n",
       "BATH AND SHOWER            0.112178    0.152335      0.200131    0.203841  "
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ScanCount</th>\n",
       "      <th>W_Friday</th>\n",
       "      <th>W_Monday</th>\n",
       "      <th>W_Saturday</th>\n",
       "      <th>W_Sunday</th>\n",
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       "      <th>W_Wednesday_p</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>DepartmentDescription</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>HORTICULTURE AND ACCESS</th>\n",
       "      <td>4423</td>\n",
       "      <td>484.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>623.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>317.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>2893.0</td>\n",
       "      <td>1.528863</td>\n",
       "      <td>0.099896</td>\n",
       "      <td>0.109575</td>\n",
       "      <td>0.113031</td>\n",
       "      <td>0.087452</td>\n",
       "      <td>0.167300</td>\n",
       "      <td>0.207397</td>\n",
       "      <td>0.215347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PETS AND SUPPLIES</th>\n",
       "      <td>12592</td>\n",
       "      <td>1497.0</td>\n",
       "      <td>1141.0</td>\n",
       "      <td>2136.0</td>\n",
       "      <td>1869.0</td>\n",
       "      <td>1061.0</td>\n",
       "      <td>1066.0</td>\n",
       "      <td>991.0</td>\n",
       "      <td>9761.0</td>\n",
       "      <td>1.290032</td>\n",
       "      <td>0.116894</td>\n",
       "      <td>0.109210</td>\n",
       "      <td>0.101526</td>\n",
       "      <td>0.108698</td>\n",
       "      <td>0.153365</td>\n",
       "      <td>0.218830</td>\n",
       "      <td>0.191476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GROCERY DRY GOODS</th>\n",
       "      <td>88718</td>\n",
       "      <td>10109.0</td>\n",
       "      <td>9355.0</td>\n",
       "      <td>13096.0</td>\n",
       "      <td>15417.0</td>\n",
       "      <td>6801.0</td>\n",
       "      <td>8087.0</td>\n",
       "      <td>7537.0</td>\n",
       "      <td>70402.0</td>\n",
       "      <td>1.260163</td>\n",
       "      <td>0.132880</td>\n",
       "      <td>0.114869</td>\n",
       "      <td>0.107057</td>\n",
       "      <td>0.096602</td>\n",
       "      <td>0.143590</td>\n",
       "      <td>0.186017</td>\n",
       "      <td>0.218985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>INFANT CONSUMABLE HARDLINES</th>\n",
       "      <td>13149</td>\n",
       "      <td>1530.0</td>\n",
       "      <td>1508.0</td>\n",
       "      <td>1873.0</td>\n",
       "      <td>2084.0</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>1324.0</td>\n",
       "      <td>1259.0</td>\n",
       "      <td>10646.0</td>\n",
       "      <td>1.235112</td>\n",
       "      <td>0.141649</td>\n",
       "      <td>0.124366</td>\n",
       "      <td>0.118260</td>\n",
       "      <td>0.100319</td>\n",
       "      <td>0.143716</td>\n",
       "      <td>0.175935</td>\n",
       "      <td>0.195754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHEER HOSIERY</th>\n",
       "      <td>532</td>\n",
       "      <td>88.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>434.0</td>\n",
       "      <td>1.225806</td>\n",
       "      <td>0.115207</td>\n",
       "      <td>0.064516</td>\n",
       "      <td>0.108295</td>\n",
       "      <td>0.105991</td>\n",
       "      <td>0.202765</td>\n",
       "      <td>0.258065</td>\n",
       "      <td>0.145161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FROZEN FOODS</th>\n",
       "      <td>25368</td>\n",
       "      <td>2936.0</td>\n",
       "      <td>2656.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>4796.0</td>\n",
       "      <td>2080.0</td>\n",
       "      <td>2280.0</td>\n",
       "      <td>2353.0</td>\n",
       "      <td>21101.0</td>\n",
       "      <td>1.202218</td>\n",
       "      <td>0.125871</td>\n",
       "      <td>0.108052</td>\n",
       "      <td>0.111511</td>\n",
       "      <td>0.098574</td>\n",
       "      <td>0.139140</td>\n",
       "      <td>0.189564</td>\n",
       "      <td>0.227288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CANDY, TOBACCO, COOKIES</th>\n",
       "      <td>11745</td>\n",
       "      <td>1744.0</td>\n",
       "      <td>1123.0</td>\n",
       "      <td>1651.0</td>\n",
       "      <td>1746.0</td>\n",
       "      <td>1230.0</td>\n",
       "      <td>1202.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>9808.0</td>\n",
       "      <td>1.197492</td>\n",
       "      <td>0.114498</td>\n",
       "      <td>0.122553</td>\n",
       "      <td>0.113377</td>\n",
       "      <td>0.125408</td>\n",
       "      <td>0.177814</td>\n",
       "      <td>0.168332</td>\n",
       "      <td>0.178018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRE PACKED DELI</th>\n",
       "      <td>10722</td>\n",
       "      <td>1268.0</td>\n",
       "      <td>1288.0</td>\n",
       "      <td>1698.0</td>\n",
       "      <td>2101.0</td>\n",
       "      <td>838.0</td>\n",
       "      <td>980.0</td>\n",
       "      <td>879.0</td>\n",
       "      <td>9052.0</td>\n",
       "      <td>1.184490</td>\n",
       "      <td>0.142289</td>\n",
       "      <td>0.108263</td>\n",
       "      <td>0.097106</td>\n",
       "      <td>0.092576</td>\n",
       "      <td>0.140080</td>\n",
       "      <td>0.187583</td>\n",
       "      <td>0.232103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OFFICE SUPPLIES</th>\n",
       "      <td>7736</td>\n",
       "      <td>949.0</td>\n",
       "      <td>907.0</td>\n",
       "      <td>1103.0</td>\n",
       "      <td>1183.0</td>\n",
       "      <td>749.0</td>\n",
       "      <td>844.0</td>\n",
       "      <td>843.0</td>\n",
       "      <td>6578.0</td>\n",
       "      <td>1.176041</td>\n",
       "      <td>0.137884</td>\n",
       "      <td>0.128306</td>\n",
       "      <td>0.128154</td>\n",
       "      <td>0.113864</td>\n",
       "      <td>0.144269</td>\n",
       "      <td>0.167680</td>\n",
       "      <td>0.179842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LIQUOR,WINE,BEER</th>\n",
       "      <td>4532</td>\n",
       "      <td>733.0</td>\n",
       "      <td>410.0</td>\n",
       "      <td>943.0</td>\n",
       "      <td>548.0</td>\n",
       "      <td>459.0</td>\n",
       "      <td>369.0</td>\n",
       "      <td>399.0</td>\n",
       "      <td>3861.0</td>\n",
       "      <td>1.173789</td>\n",
       "      <td>0.106190</td>\n",
       "      <td>0.095571</td>\n",
       "      <td>0.103341</td>\n",
       "      <td>0.118881</td>\n",
       "      <td>0.189847</td>\n",
       "      <td>0.244237</td>\n",
       "      <td>0.141932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DSD GROCERY</th>\n",
       "      <td>79814</td>\n",
       "      <td>10153.0</td>\n",
       "      <td>8717.0</td>\n",
       "      <td>12785.0</td>\n",
       "      <td>14583.0</td>\n",
       "      <td>7222.0</td>\n",
       "      <td>7589.0</td>\n",
       "      <td>7283.0</td>\n",
       "      <td>68332.0</td>\n",
       "      <td>1.168033</td>\n",
       "      <td>0.127568</td>\n",
       "      <td>0.111061</td>\n",
       "      <td>0.106583</td>\n",
       "      <td>0.105690</td>\n",
       "      <td>0.148583</td>\n",
       "      <td>0.187101</td>\n",
       "      <td>0.213414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAKERY</th>\n",
       "      <td>8304</td>\n",
       "      <td>1120.0</td>\n",
       "      <td>934.0</td>\n",
       "      <td>1280.0</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>833.0</td>\n",
       "      <td>902.0</td>\n",
       "      <td>773.0</td>\n",
       "      <td>7168.0</td>\n",
       "      <td>1.158482</td>\n",
       "      <td>0.130301</td>\n",
       "      <td>0.125837</td>\n",
       "      <td>0.107840</td>\n",
       "      <td>0.116211</td>\n",
       "      <td>0.156250</td>\n",
       "      <td>0.178571</td>\n",
       "      <td>0.184989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DAIRY</th>\n",
       "      <td>50550</td>\n",
       "      <td>5813.0</td>\n",
       "      <td>5983.0</td>\n",
       "      <td>7978.0</td>\n",
       "      <td>9992.0</td>\n",
       "      <td>4348.0</td>\n",
       "      <td>5098.0</td>\n",
       "      <td>4608.0</td>\n",
       "      <td>43820.0</td>\n",
       "      <td>1.153583</td>\n",
       "      <td>0.136536</td>\n",
       "      <td>0.116340</td>\n",
       "      <td>0.105157</td>\n",
       "      <td>0.099224</td>\n",
       "      <td>0.132656</td>\n",
       "      <td>0.182063</td>\n",
       "      <td>0.228024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1-HR PHOTO</th>\n",
       "      <td>453</td>\n",
       "      <td>50.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>394.0</td>\n",
       "      <td>1.149746</td>\n",
       "      <td>0.129442</td>\n",
       "      <td>0.144670</td>\n",
       "      <td>0.131980</td>\n",
       "      <td>0.167513</td>\n",
       "      <td>0.126904</td>\n",
       "      <td>0.131980</td>\n",
       "      <td>0.167513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMM BREAD</th>\n",
       "      <td>17516</td>\n",
       "      <td>2104.0</td>\n",
       "      <td>2193.0</td>\n",
       "      <td>2631.0</td>\n",
       "      <td>3324.0</td>\n",
       "      <td>1442.0</td>\n",
       "      <td>1878.0</td>\n",
       "      <td>1672.0</td>\n",
       "      <td>15244.0</td>\n",
       "      <td>1.149042</td>\n",
       "      <td>0.143860</td>\n",
       "      <td>0.123196</td>\n",
       "      <td>0.109682</td>\n",
       "      <td>0.094595</td>\n",
       "      <td>0.138022</td>\n",
       "      <td>0.172592</td>\n",
       "      <td>0.218053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEAT - FRESH &amp; FROZEN</th>\n",
       "      <td>10882</td>\n",
       "      <td>1366.0</td>\n",
       "      <td>1322.0</td>\n",
       "      <td>1840.0</td>\n",
       "      <td>2177.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>891.0</td>\n",
       "      <td>9477.0</td>\n",
       "      <td>1.148254</td>\n",
       "      <td>0.139496</td>\n",
       "      <td>0.105624</td>\n",
       "      <td>0.094017</td>\n",
       "      <td>0.092856</td>\n",
       "      <td>0.144138</td>\n",
       "      <td>0.194154</td>\n",
       "      <td>0.229714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOME MANAGEMENT</th>\n",
       "      <td>7290</td>\n",
       "      <td>1036.0</td>\n",
       "      <td>861.0</td>\n",
       "      <td>1191.0</td>\n",
       "      <td>1217.0</td>\n",
       "      <td>609.0</td>\n",
       "      <td>759.0</td>\n",
       "      <td>676.0</td>\n",
       "      <td>6349.0</td>\n",
       "      <td>1.148212</td>\n",
       "      <td>0.135612</td>\n",
       "      <td>0.119546</td>\n",
       "      <td>0.106473</td>\n",
       "      <td>0.095921</td>\n",
       "      <td>0.163175</td>\n",
       "      <td>0.187589</td>\n",
       "      <td>0.191684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SEAFOOD</th>\n",
       "      <td>2202</td>\n",
       "      <td>286.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>359.0</td>\n",
       "      <td>455.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>212.0</td>\n",
       "      <td>1923.0</td>\n",
       "      <td>1.145086</td>\n",
       "      <td>0.121685</td>\n",
       "      <td>0.105044</td>\n",
       "      <td>0.110244</td>\n",
       "      <td>0.091004</td>\n",
       "      <td>0.148726</td>\n",
       "      <td>0.186687</td>\n",
       "      <td>0.236609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CELEBRATION</th>\n",
       "      <td>9957</td>\n",
       "      <td>1657.0</td>\n",
       "      <td>891.0</td>\n",
       "      <td>1932.0</td>\n",
       "      <td>1371.0</td>\n",
       "      <td>985.0</td>\n",
       "      <td>798.0</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>8698.0</td>\n",
       "      <td>1.144746</td>\n",
       "      <td>0.102437</td>\n",
       "      <td>0.091745</td>\n",
       "      <td>0.122327</td>\n",
       "      <td>0.113244</td>\n",
       "      <td>0.190504</td>\n",
       "      <td>0.222120</td>\n",
       "      <td>0.157622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CONCEPT STORES</th>\n",
       "      <td>40</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.142857</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.085714</td>\n",
       "      <td>0.228571</td>\n",
       "      <td>0.085714</td>\n",
       "      <td>0.028571</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.085714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FABRICS AND CRAFTS</th>\n",
       "      <td>5643</td>\n",
       "      <td>754.0</td>\n",
       "      <td>755.0</td>\n",
       "      <td>870.0</td>\n",
       "      <td>877.0</td>\n",
       "      <td>703.0</td>\n",
       "      <td>505.0</td>\n",
       "      <td>587.0</td>\n",
       "      <td>5051.0</td>\n",
       "      <td>1.117205</td>\n",
       "      <td>0.149475</td>\n",
       "      <td>0.099980</td>\n",
       "      <td>0.116215</td>\n",
       "      <td>0.139180</td>\n",
       "      <td>0.149277</td>\n",
       "      <td>0.172243</td>\n",
       "      <td>0.173629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAWN AND GARDEN</th>\n",
       "      <td>5864</td>\n",
       "      <td>812.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>1196.0</td>\n",
       "      <td>1127.0</td>\n",
       "      <td>520.0</td>\n",
       "      <td>512.0</td>\n",
       "      <td>559.0</td>\n",
       "      <td>5269.0</td>\n",
       "      <td>1.112925</td>\n",
       "      <td>0.103056</td>\n",
       "      <td>0.097172</td>\n",
       "      <td>0.106092</td>\n",
       "      <td>0.098690</td>\n",
       "      <td>0.154109</td>\n",
       "      <td>0.226988</td>\n",
       "      <td>0.213893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IMPULSE MERCHANDISE</th>\n",
       "      <td>31811</td>\n",
       "      <td>4423.0</td>\n",
       "      <td>3392.0</td>\n",
       "      <td>5457.0</td>\n",
       "      <td>5488.0</td>\n",
       "      <td>3395.0</td>\n",
       "      <td>3181.0</td>\n",
       "      <td>3376.0</td>\n",
       "      <td>28712.0</td>\n",
       "      <td>1.107934</td>\n",
       "      <td>0.118139</td>\n",
       "      <td>0.110790</td>\n",
       "      <td>0.117581</td>\n",
       "      <td>0.118243</td>\n",
       "      <td>0.154047</td>\n",
       "      <td>0.190060</td>\n",
       "      <td>0.191140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOUSEHOLD PAPER GOODS</th>\n",
       "      <td>17986</td>\n",
       "      <td>2456.0</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>3308.0</td>\n",
       "      <td>3444.0</td>\n",
       "      <td>1554.0</td>\n",
       "      <td>1744.0</td>\n",
       "      <td>1756.0</td>\n",
       "      <td>16274.0</td>\n",
       "      <td>1.105198</td>\n",
       "      <td>0.123633</td>\n",
       "      <td>0.107165</td>\n",
       "      <td>0.107902</td>\n",
       "      <td>0.095490</td>\n",
       "      <td>0.150916</td>\n",
       "      <td>0.203269</td>\n",
       "      <td>0.211626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PHARMACY OTC</th>\n",
       "      <td>25620</td>\n",
       "      <td>3585.0</td>\n",
       "      <td>3007.0</td>\n",
       "      <td>4182.0</td>\n",
       "      <td>4364.0</td>\n",
       "      <td>2621.0</td>\n",
       "      <td>2735.0</td>\n",
       "      <td>2812.0</td>\n",
       "      <td>23306.0</td>\n",
       "      <td>1.099288</td>\n",
       "      <td>0.129023</td>\n",
       "      <td>0.117352</td>\n",
       "      <td>0.120656</td>\n",
       "      <td>0.112460</td>\n",
       "      <td>0.153823</td>\n",
       "      <td>0.179439</td>\n",
       "      <td>0.187248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PAINT AND ACCESSORIES</th>\n",
       "      <td>1880</td>\n",
       "      <td>308.0</td>\n",
       "      <td>236.0</td>\n",
       "      <td>309.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>1720.0</td>\n",
       "      <td>1.093023</td>\n",
       "      <td>0.137209</td>\n",
       "      <td>0.090116</td>\n",
       "      <td>0.152907</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.179070</td>\n",
       "      <td>0.179651</td>\n",
       "      <td>0.161047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOUSEHOLD CHEMICALS/SUPP</th>\n",
       "      <td>26915</td>\n",
       "      <td>3627.0</td>\n",
       "      <td>3291.0</td>\n",
       "      <td>4815.0</td>\n",
       "      <td>5266.0</td>\n",
       "      <td>2372.0</td>\n",
       "      <td>2611.0</td>\n",
       "      <td>2898.0</td>\n",
       "      <td>24880.0</td>\n",
       "      <td>1.081793</td>\n",
       "      <td>0.132275</td>\n",
       "      <td>0.104944</td>\n",
       "      <td>0.116479</td>\n",
       "      <td>0.095338</td>\n",
       "      <td>0.145780</td>\n",
       "      <td>0.193529</td>\n",
       "      <td>0.211656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOME DECOR</th>\n",
       "      <td>4458</td>\n",
       "      <td>646.0</td>\n",
       "      <td>482.0</td>\n",
       "      <td>843.0</td>\n",
       "      <td>706.0</td>\n",
       "      <td>497.0</td>\n",
       "      <td>484.0</td>\n",
       "      <td>509.0</td>\n",
       "      <td>4167.0</td>\n",
       "      <td>1.069834</td>\n",
       "      <td>0.115671</td>\n",
       "      <td>0.116151</td>\n",
       "      <td>0.122150</td>\n",
       "      <td>0.119270</td>\n",
       "      <td>0.155028</td>\n",
       "      <td>0.202304</td>\n",
       "      <td>0.169426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BATH AND SHOWER</th>\n",
       "      <td>4901</td>\n",
       "      <td>698.0</td>\n",
       "      <td>497.0</td>\n",
       "      <td>917.0</td>\n",
       "      <td>934.0</td>\n",
       "      <td>514.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>526.0</td>\n",
       "      <td>4582.0</td>\n",
       "      <td>1.069620</td>\n",
       "      <td>0.108468</td>\n",
       "      <td>0.108250</td>\n",
       "      <td>0.114797</td>\n",
       "      <td>0.112178</td>\n",
       "      <td>0.152335</td>\n",
       "      <td>0.200131</td>\n",
       "      <td>0.203841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PERSONAL CARE</th>\n",
       "      <td>44819</td>\n",
       "      <td>6253.0</td>\n",
       "      <td>5387.0</td>\n",
       "      <td>7997.0</td>\n",
       "      <td>8904.0</td>\n",
       "      <td>4408.0</td>\n",
       "      <td>4385.0</td>\n",
       "      <td>4635.0</td>\n",
       "      <td>41969.0</td>\n",
       "      <td>1.067907</td>\n",
       "      <td>0.128357</td>\n",
       "      <td>0.104482</td>\n",
       "      <td>0.110439</td>\n",
       "      <td>0.105030</td>\n",
       "      <td>0.148991</td>\n",
       "      <td>0.190545</td>\n",
       "      <td>0.212157</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BEAUTY</th>\n",
       "      <td>15077</td>\n",
       "      <td>2296.0</td>\n",
       "      <td>1987.0</td>\n",
       "      <td>2802.0</td>\n",
       "      <td>2754.0</td>\n",
       "      <td>1689.0</td>\n",
       "      <td>1646.0</td>\n",
       "      <td>1691.0</td>\n",
       "      <td>14865.0</td>\n",
       "      <td>1.014262</td>\n",
       "      <td>0.133670</td>\n",
       "      <td>0.110730</td>\n",
       "      <td>0.113757</td>\n",
       "      <td>0.113623</td>\n",
       "      <td>0.154457</td>\n",
       "      <td>0.188496</td>\n",
       "      <td>0.185267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SPORTING GOODS</th>\n",
       "      <td>5144</td>\n",
       "      <td>786.0</td>\n",
       "      <td>562.0</td>\n",
       "      <td>974.0</td>\n",
       "      <td>1079.0</td>\n",
       "      <td>649.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>554.0</td>\n",
       "      <td>5087.0</td>\n",
       "      <td>1.011205</td>\n",
       "      <td>0.110478</td>\n",
       "      <td>0.094948</td>\n",
       "      <td>0.108905</td>\n",
       "      <td>0.127580</td>\n",
       "      <td>0.154511</td>\n",
       "      <td>0.191468</td>\n",
       "      <td>0.212109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUTOMOTIVE</th>\n",
       "      <td>5466</td>\n",
       "      <td>823.0</td>\n",
       "      <td>618.0</td>\n",
       "      <td>1092.0</td>\n",
       "      <td>1112.0</td>\n",
       "      <td>577.0</td>\n",
       "      <td>555.0</td>\n",
       "      <td>637.0</td>\n",
       "      <td>5414.0</td>\n",
       "      <td>1.009605</td>\n",
       "      <td>0.114149</td>\n",
       "      <td>0.102512</td>\n",
       "      <td>0.117658</td>\n",
       "      <td>0.106576</td>\n",
       "      <td>0.152013</td>\n",
       "      <td>0.201699</td>\n",
       "      <td>0.205393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LADIES SOCKS</th>\n",
       "      <td>779</td>\n",
       "      <td>116.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>775.0</td>\n",
       "      <td>1.005161</td>\n",
       "      <td>0.143226</td>\n",
       "      <td>0.110968</td>\n",
       "      <td>0.112258</td>\n",
       "      <td>0.103226</td>\n",
       "      <td>0.149677</td>\n",
       "      <td>0.188387</td>\n",
       "      <td>0.192258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HARDWARE</th>\n",
       "      <td>4915</td>\n",
       "      <td>716.0</td>\n",
       "      <td>639.0</td>\n",
       "      <td>932.0</td>\n",
       "      <td>1047.0</td>\n",
       "      <td>471.0</td>\n",
       "      <td>551.0</td>\n",
       "      <td>557.0</td>\n",
       "      <td>4913.0</td>\n",
       "      <td>1.000407</td>\n",
       "      <td>0.130063</td>\n",
       "      <td>0.112151</td>\n",
       "      <td>0.113373</td>\n",
       "      <td>0.095868</td>\n",
       "      <td>0.145736</td>\n",
       "      <td>0.189701</td>\n",
       "      <td>0.213108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LARGE HOUSEHOLD GOODS</th>\n",
       "      <td>77</td>\n",
       "      <td>18.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.064935</td>\n",
       "      <td>0.168831</td>\n",
       "      <td>0.194805</td>\n",
       "      <td>0.064935</td>\n",
       "      <td>0.233766</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.129870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OTHER DEPARTMENTS</th>\n",
       "      <td>29</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.034483</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.103448</td>\n",
       "      <td>0.275862</td>\n",
       "      <td>0.206897</td>\n",
       "      <td>0.379310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BOOKS AND MAGAZINES</th>\n",
       "      <td>981</td>\n",
       "      <td>115.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>249.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>992.0</td>\n",
       "      <td>0.988911</td>\n",
       "      <td>0.110887</td>\n",
       "      <td>0.088710</td>\n",
       "      <td>0.106855</td>\n",
       "      <td>0.079637</td>\n",
       "      <td>0.115927</td>\n",
       "      <td>0.251008</td>\n",
       "      <td>0.246976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>INFANT APPAREL</th>\n",
       "      <td>5885</td>\n",
       "      <td>958.0</td>\n",
       "      <td>682.0</td>\n",
       "      <td>1312.0</td>\n",
       "      <td>1216.0</td>\n",
       "      <td>511.0</td>\n",
       "      <td>735.0</td>\n",
       "      <td>637.0</td>\n",
       "      <td>6051.0</td>\n",
       "      <td>0.972567</td>\n",
       "      <td>0.112709</td>\n",
       "      <td>0.121468</td>\n",
       "      <td>0.105272</td>\n",
       "      <td>0.084449</td>\n",
       "      <td>0.158321</td>\n",
       "      <td>0.216824</td>\n",
       "      <td>0.200959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PHARMACY RX</th>\n",
       "      <td>2818</td>\n",
       "      <td>467.0</td>\n",
       "      <td>386.0</td>\n",
       "      <td>451.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>420.0</td>\n",
       "      <td>451.0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>2922.0</td>\n",
       "      <td>0.964408</td>\n",
       "      <td>0.132101</td>\n",
       "      <td>0.154346</td>\n",
       "      <td>0.164271</td>\n",
       "      <td>0.143737</td>\n",
       "      <td>0.159822</td>\n",
       "      <td>0.154346</td>\n",
       "      <td>0.091376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GIRLS WEAR, 4-6X  AND 7-14</th>\n",
       "      <td>4314</td>\n",
       "      <td>598.0</td>\n",
       "      <td>513.0</td>\n",
       "      <td>849.0</td>\n",
       "      <td>1015.0</td>\n",
       "      <td>554.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>497.0</td>\n",
       "      <td>4516.0</td>\n",
       "      <td>0.955270</td>\n",
       "      <td>0.113596</td>\n",
       "      <td>0.108503</td>\n",
       "      <td>0.110053</td>\n",
       "      <td>0.122675</td>\n",
       "      <td>0.132418</td>\n",
       "      <td>0.187998</td>\n",
       "      <td>0.224756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MENS WEAR</th>\n",
       "      <td>11690</td>\n",
       "      <td>1766.0</td>\n",
       "      <td>1449.0</td>\n",
       "      <td>2355.0</td>\n",
       "      <td>2798.0</td>\n",
       "      <td>1174.0</td>\n",
       "      <td>1399.0</td>\n",
       "      <td>1309.0</td>\n",
       "      <td>12250.0</td>\n",
       "      <td>0.954286</td>\n",
       "      <td>0.118286</td>\n",
       "      <td>0.114204</td>\n",
       "      <td>0.106857</td>\n",
       "      <td>0.095837</td>\n",
       "      <td>0.144163</td>\n",
       "      <td>0.192245</td>\n",
       "      <td>0.228408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BOYS WEAR</th>\n",
       "      <td>3675</td>\n",
       "      <td>497.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>735.0</td>\n",
       "      <td>874.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>391.0</td>\n",
       "      <td>403.0</td>\n",
       "      <td>3892.0</td>\n",
       "      <td>0.944245</td>\n",
       "      <td>0.127441</td>\n",
       "      <td>0.100462</td>\n",
       "      <td>0.103546</td>\n",
       "      <td>0.127441</td>\n",
       "      <td>0.127698</td>\n",
       "      <td>0.188849</td>\n",
       "      <td>0.224563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACCESSORIES</th>\n",
       "      <td>1244</td>\n",
       "      <td>171.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>1318.0</td>\n",
       "      <td>0.943854</td>\n",
       "      <td>0.132777</td>\n",
       "      <td>0.108498</td>\n",
       "      <td>0.103187</td>\n",
       "      <td>0.112291</td>\n",
       "      <td>0.129742</td>\n",
       "      <td>0.195751</td>\n",
       "      <td>0.217754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHOES</th>\n",
       "      <td>5755</td>\n",
       "      <td>794.0</td>\n",
       "      <td>778.0</td>\n",
       "      <td>1233.0</td>\n",
       "      <td>1419.0</td>\n",
       "      <td>611.0</td>\n",
       "      <td>655.0</td>\n",
       "      <td>609.0</td>\n",
       "      <td>6099.0</td>\n",
       "      <td>0.943597</td>\n",
       "      <td>0.127562</td>\n",
       "      <td>0.107395</td>\n",
       "      <td>0.099852</td>\n",
       "      <td>0.100180</td>\n",
       "      <td>0.130185</td>\n",
       "      <td>0.202164</td>\n",
       "      <td>0.232661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JEWELRY AND SUNGLASSES</th>\n",
       "      <td>2363</td>\n",
       "      <td>379.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>555.0</td>\n",
       "      <td>471.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>2526.0</td>\n",
       "      <td>0.935471</td>\n",
       "      <td>0.103325</td>\n",
       "      <td>0.108868</td>\n",
       "      <td>0.105701</td>\n",
       "      <td>0.125891</td>\n",
       "      <td>0.150040</td>\n",
       "      <td>0.219715</td>\n",
       "      <td>0.186461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SEASONAL</th>\n",
       "      <td>27</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.931034</td>\n",
       "      <td>0.137931</td>\n",
       "      <td>0.103448</td>\n",
       "      <td>0.068966</td>\n",
       "      <td>0.206897</td>\n",
       "      <td>0.206897</td>\n",
       "      <td>0.103448</td>\n",
       "      <td>0.172414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SLEEPWEAR/FOUNDATIONS</th>\n",
       "      <td>2205</td>\n",
       "      <td>366.0</td>\n",
       "      <td>305.0</td>\n",
       "      <td>463.0</td>\n",
       "      <td>449.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>2376.0</td>\n",
       "      <td>0.928030</td>\n",
       "      <td>0.128367</td>\n",
       "      <td>0.099747</td>\n",
       "      <td>0.104377</td>\n",
       "      <td>0.129630</td>\n",
       "      <td>0.154040</td>\n",
       "      <td>0.194865</td>\n",
       "      <td>0.188973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLAYERS AND ELECTRONICS</th>\n",
       "      <td>627</td>\n",
       "      <td>144.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>686.0</td>\n",
       "      <td>0.913994</td>\n",
       "      <td>0.103499</td>\n",
       "      <td>0.078717</td>\n",
       "      <td>0.064140</td>\n",
       "      <td>0.131195</td>\n",
       "      <td>0.209913</td>\n",
       "      <td>0.234694</td>\n",
       "      <td>0.177843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEDIA AND GAMING</th>\n",
       "      <td>1809</td>\n",
       "      <td>337.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>487.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>1993.0</td>\n",
       "      <td>0.907677</td>\n",
       "      <td>0.110386</td>\n",
       "      <td>0.081786</td>\n",
       "      <td>0.083793</td>\n",
       "      <td>0.103362</td>\n",
       "      <td>0.169092</td>\n",
       "      <td>0.207225</td>\n",
       "      <td>0.244355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MENSWEAR</th>\n",
       "      <td>302</td>\n",
       "      <td>37.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>338.0</td>\n",
       "      <td>0.893491</td>\n",
       "      <td>0.162722</td>\n",
       "      <td>0.118343</td>\n",
       "      <td>0.088757</td>\n",
       "      <td>0.121302</td>\n",
       "      <td>0.109467</td>\n",
       "      <td>0.183432</td>\n",
       "      <td>0.215976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRAS &amp; SHAPEWEAR</th>\n",
       "      <td>1741</td>\n",
       "      <td>368.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>389.0</td>\n",
       "      <td>371.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>2036.0</td>\n",
       "      <td>0.855108</td>\n",
       "      <td>0.108546</td>\n",
       "      <td>0.103143</td>\n",
       "      <td>0.098723</td>\n",
       "      <td>0.135560</td>\n",
       "      <td>0.180747</td>\n",
       "      <td>0.191061</td>\n",
       "      <td>0.182220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLUS AND MATERNITY</th>\n",
       "      <td>499</td>\n",
       "      <td>111.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>591.0</td>\n",
       "      <td>0.844332</td>\n",
       "      <td>0.089679</td>\n",
       "      <td>0.150592</td>\n",
       "      <td>0.108291</td>\n",
       "      <td>0.109983</td>\n",
       "      <td>0.187817</td>\n",
       "      <td>0.216582</td>\n",
       "      <td>0.137056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WIRELESS</th>\n",
       "      <td>1600</td>\n",
       "      <td>301.0</td>\n",
       "      <td>224.0</td>\n",
       "      <td>336.0</td>\n",
       "      <td>331.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>1898.0</td>\n",
       "      <td>0.842993</td>\n",
       "      <td>0.118019</td>\n",
       "      <td>0.113277</td>\n",
       "      <td>0.112750</td>\n",
       "      <td>0.145943</td>\n",
       "      <td>0.158588</td>\n",
       "      <td>0.177028</td>\n",
       "      <td>0.174394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LADIESWEAR</th>\n",
       "      <td>7351</td>\n",
       "      <td>1519.0</td>\n",
       "      <td>1021.0</td>\n",
       "      <td>1845.0</td>\n",
       "      <td>1472.0</td>\n",
       "      <td>971.0</td>\n",
       "      <td>964.0</td>\n",
       "      <td>929.0</td>\n",
       "      <td>8721.0</td>\n",
       "      <td>0.842908</td>\n",
       "      <td>0.117074</td>\n",
       "      <td>0.110538</td>\n",
       "      <td>0.106524</td>\n",
       "      <td>0.111340</td>\n",
       "      <td>0.174177</td>\n",
       "      <td>0.211558</td>\n",
       "      <td>0.168788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINANCIAL SERVICES</th>\n",
       "      <td>8983</td>\n",
       "      <td>1945.0</td>\n",
       "      <td>1443.0</td>\n",
       "      <td>1867.0</td>\n",
       "      <td>1585.0</td>\n",
       "      <td>1159.0</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>1324.0</td>\n",
       "      <td>10723.0</td>\n",
       "      <td>0.837732</td>\n",
       "      <td>0.134571</td>\n",
       "      <td>0.130560</td>\n",
       "      <td>0.123473</td>\n",
       "      <td>0.108085</td>\n",
       "      <td>0.181386</td>\n",
       "      <td>0.174112</td>\n",
       "      <td>0.147813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAMERAS AND SUPPLIES</th>\n",
       "      <td>184</td>\n",
       "      <td>38.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>0.832579</td>\n",
       "      <td>0.095023</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>0.104072</td>\n",
       "      <td>0.126697</td>\n",
       "      <td>0.171946</td>\n",
       "      <td>0.190045</td>\n",
       "      <td>0.194570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ELECTRONICS</th>\n",
       "      <td>2392</td>\n",
       "      <td>508.0</td>\n",
       "      <td>385.0</td>\n",
       "      <td>579.0</td>\n",
       "      <td>599.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>367.0</td>\n",
       "      <td>3190.0</td>\n",
       "      <td>0.749843</td>\n",
       "      <td>0.120690</td>\n",
       "      <td>0.118809</td>\n",
       "      <td>0.115047</td>\n",
       "      <td>0.116928</td>\n",
       "      <td>0.159248</td>\n",
       "      <td>0.181505</td>\n",
       "      <td>0.187774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SWIMWEAR/OUTERWEAR</th>\n",
       "      <td>591</td>\n",
       "      <td>125.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>860.0</td>\n",
       "      <td>0.687209</td>\n",
       "      <td>0.129070</td>\n",
       "      <td>0.083721</td>\n",
       "      <td>0.087209</td>\n",
       "      <td>0.160465</td>\n",
       "      <td>0.145349</td>\n",
       "      <td>0.196512</td>\n",
       "      <td>0.197674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HEALTH AND BEAUTY AIDS</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             ScanCount  W_Friday  W_Monday  W_Saturday  \\\n",
       "DepartmentDescription                                                    \n",
       "HORTICULTURE AND ACCESS           4423     484.0     289.0       600.0   \n",
       "PETS AND SUPPLIES                12592    1497.0    1141.0      2136.0   \n",
       "GROCERY DRY GOODS                88718   10109.0    9355.0     13096.0   \n",
       "INFANT CONSUMABLE HARDLINES      13149    1530.0    1508.0      1873.0   \n",
       "SHEER HOSIERY                      532      88.0      50.0       112.0   \n",
       "FROZEN FOODS                     25368    2936.0    2656.0      4000.0   \n",
       "CANDY, TOBACCO, COOKIES          11745    1744.0    1123.0      1651.0   \n",
       "PRE PACKED DELI                  10722    1268.0    1288.0      1698.0   \n",
       "OFFICE SUPPLIES                   7736     949.0     907.0      1103.0   \n",
       "LIQUOR,WINE,BEER                  4532     733.0     410.0       943.0   \n",
       "DSD GROCERY                      79814   10153.0    8717.0     12785.0   \n",
       "BAKERY                            8304    1120.0     934.0      1280.0   \n",
       "DAIRY                            50550    5813.0    5983.0      7978.0   \n",
       "1-HR PHOTO                         453      50.0      51.0        52.0   \n",
       "COMM BREAD                       17516    2104.0    2193.0      2631.0   \n",
       "MEAT - FRESH & FROZEN            10882    1366.0    1322.0      1840.0   \n",
       "HOME MANAGEMENT                   7290    1036.0     861.0      1191.0   \n",
       "SEAFOOD                           2202     286.0     234.0       359.0   \n",
       "CELEBRATION                       9957    1657.0     891.0      1932.0   \n",
       "CONCEPT STORES                      40       1.0       7.0        10.0   \n",
       "FABRICS AND CRAFTS                5643     754.0     755.0       870.0   \n",
       "LAWN AND GARDEN                   5864     812.0     543.0      1196.0   \n",
       "IMPULSE MERCHANDISE              31811    4423.0    3392.0      5457.0   \n",
       "HOUSEHOLD PAPER GOODS            17986    2456.0    2012.0      3308.0   \n",
       "PHARMACY OTC                     25620    3585.0    3007.0      4182.0   \n",
       "PAINT AND ACCESSORIES             1880     308.0     236.0       309.0   \n",
       "HOUSEHOLD CHEMICALS/SUPP         26915    3627.0    3291.0      4815.0   \n",
       "HOME DECOR                        4458     646.0     482.0       843.0   \n",
       "BATH AND SHOWER                   4901     698.0     497.0       917.0   \n",
       "PERSONAL CARE                    44819    6253.0    5387.0      7997.0   \n",
       "...                                ...       ...       ...         ...   \n",
       "BEAUTY                           15077    2296.0    1987.0      2802.0   \n",
       "SPORTING GOODS                    5144     786.0     562.0       974.0   \n",
       "AUTOMOTIVE                        5466     823.0     618.0      1092.0   \n",
       "LADIES SOCKS                       779     116.0     111.0       146.0   \n",
       "HARDWARE                          4915     716.0     639.0       932.0   \n",
       "LARGE HOUSEHOLD GOODS               77      18.0       5.0        11.0   \n",
       "OTHER DEPARTMENTS                   29       8.0       0.0         6.0   \n",
       "BOOKS AND MAGAZINES                981     115.0     110.0       249.0   \n",
       "INFANT APPAREL                    5885     958.0     682.0      1312.0   \n",
       "PHARMACY RX                       2818     467.0     386.0       451.0   \n",
       "GIRLS WEAR, 4-6X  AND 7-14        4314     598.0     513.0       849.0   \n",
       "MENS WEAR                        11690    1766.0    1449.0      2355.0   \n",
       "BOYS WEAR                         3675     497.0     496.0       735.0   \n",
       "ACCESSORIES                       1244     171.0     175.0       258.0   \n",
       "SHOES                             5755     794.0     778.0      1233.0   \n",
       "JEWELRY AND SUNGLASSES            2363     379.0     261.0       555.0   \n",
       "SEASONAL                            27       6.0       4.0         3.0   \n",
       "SLEEPWEAR/FOUNDATIONS             2205     366.0     305.0       463.0   \n",
       "PLAYERS AND ELECTRONICS            627     144.0      71.0       161.0   \n",
       "MEDIA AND GAMING                  1809     337.0     220.0       413.0   \n",
       "MENSWEAR                           302      37.0      55.0        62.0   \n",
       "BRAS & SHAPEWEAR                  1741     368.0     221.0       389.0   \n",
       "PLUS AND MATERNITY                 499     111.0      53.0       128.0   \n",
       "WIRELESS                          1600     301.0     224.0       336.0   \n",
       "LADIESWEAR                        7351    1519.0    1021.0      1845.0   \n",
       "FINANCIAL SERVICES                8983    1945.0    1443.0      1867.0   \n",
       "CAMERAS AND SUPPLIES               184      38.0      21.0        42.0   \n",
       "ELECTRONICS                       2392     508.0     385.0       579.0   \n",
       "SWIMWEAR/OUTERWEAR                 591     125.0     111.0       169.0   \n",
       "HEALTH AND BEAUTY AIDS               0       0.0       0.0         1.0   \n",
       "\n",
       "                             W_Sunday  W_Thursday  W_Tuesday  W_Wednesday  \\\n",
       "DepartmentDescription                                                       \n",
       "HORTICULTURE AND ACCESS         623.0       253.0      317.0        327.0   \n",
       "PETS AND SUPPLIES              1869.0      1061.0     1066.0        991.0   \n",
       "GROCERY DRY GOODS             15417.0      6801.0     8087.0       7537.0   \n",
       "INFANT CONSUMABLE HARDLINES    2084.0      1068.0     1324.0       1259.0   \n",
       "SHEER HOSIERY                    63.0        46.0       28.0         47.0   \n",
       "FROZEN FOODS                   4796.0      2080.0     2280.0       2353.0   \n",
       "CANDY, TOBACCO, COOKIES        1746.0      1230.0     1202.0       1112.0   \n",
       "PRE PACKED DELI                2101.0       838.0      980.0        879.0   \n",
       "OFFICE SUPPLIES                1183.0       749.0      844.0        843.0   \n",
       "LIQUOR,WINE,BEER                548.0       459.0      369.0        399.0   \n",
       "DSD GROCERY                   14583.0      7222.0     7589.0       7283.0   \n",
       "BAKERY                         1326.0       833.0      902.0        773.0   \n",
       "DAIRY                          9992.0      4348.0     5098.0       4608.0   \n",
       "1-HR PHOTO                       66.0        66.0       57.0         52.0   \n",
       "COMM BREAD                     3324.0      1442.0     1878.0       1672.0   \n",
       "MEAT - FRESH & FROZEN          2177.0       880.0     1001.0        891.0   \n",
       "HOME MANAGEMENT                1217.0       609.0      759.0        676.0   \n",
       "SEAFOOD                         455.0       175.0      202.0        212.0   \n",
       "CELEBRATION                    1371.0       985.0      798.0       1064.0   \n",
       "CONCEPT STORES                    3.0         3.0        3.0          8.0   \n",
       "FABRICS AND CRAFTS              877.0       703.0      505.0        587.0   \n",
       "LAWN AND GARDEN                1127.0       520.0      512.0        559.0   \n",
       "IMPULSE MERCHANDISE            5488.0      3395.0     3181.0       3376.0   \n",
       "HOUSEHOLD PAPER GOODS          3444.0      1554.0     1744.0       1756.0   \n",
       "PHARMACY OTC                   4364.0      2621.0     2735.0       2812.0   \n",
       "PAINT AND ACCESSORIES           277.0       172.0      155.0        263.0   \n",
       "HOUSEHOLD CHEMICALS/SUPP       5266.0      2372.0     2611.0       2898.0   \n",
       "HOME DECOR                      706.0       497.0      484.0        509.0   \n",
       "BATH AND SHOWER                 934.0       514.0      496.0        526.0   \n",
       "PERSONAL CARE                  8904.0      4408.0     4385.0       4635.0   \n",
       "...                               ...         ...        ...          ...   \n",
       "BEAUTY                         2754.0      1689.0     1646.0       1691.0   \n",
       "SPORTING GOODS                 1079.0       649.0      483.0        554.0   \n",
       "AUTOMOTIVE                     1112.0       577.0      555.0        637.0   \n",
       "LADIES SOCKS                    149.0        80.0       86.0         87.0   \n",
       "HARDWARE                       1047.0       471.0      551.0        557.0   \n",
       "LARGE HOUSEHOLD GOODS            10.0         5.0       13.0         15.0   \n",
       "OTHER DEPARTMENTS                11.0         3.0        1.0          0.0   \n",
       "BOOKS AND MAGAZINES             245.0        79.0       88.0        106.0   \n",
       "INFANT APPAREL                 1216.0       511.0      735.0        637.0   \n",
       "PHARMACY RX                     267.0       420.0      451.0        480.0   \n",
       "GIRLS WEAR, 4-6X  AND 7-14     1015.0       554.0      490.0        497.0   \n",
       "MENS WEAR                      2798.0      1174.0     1399.0       1309.0   \n",
       "BOYS WEAR                       874.0       496.0      391.0        403.0   \n",
       "ACCESSORIES                     287.0       148.0      143.0        136.0   \n",
       "SHOES                          1419.0       611.0      655.0        609.0   \n",
       "JEWELRY AND SUNGLASSES          471.0       318.0      275.0        267.0   \n",
       "SEASONAL                          5.0         6.0        3.0          2.0   \n",
       "SLEEPWEAR/FOUNDATIONS           449.0       308.0      237.0        248.0   \n",
       "PLAYERS AND ELECTRONICS         122.0        90.0       54.0         44.0   \n",
       "MEDIA AND GAMING                487.0       206.0      163.0        167.0   \n",
       "MENSWEAR                         73.0        41.0       40.0         30.0   \n",
       "BRAS & SHAPEWEAR                371.0       276.0      210.0        201.0   \n",
       "PLUS AND MATERNITY               81.0        65.0       89.0         64.0   \n",
       "WIRELESS                        331.0       277.0      215.0        214.0   \n",
       "LADIESWEAR                     1472.0       971.0      964.0        929.0   \n",
       "FINANCIAL SERVICES             1585.0      1159.0     1400.0       1324.0   \n",
       "CAMERAS AND SUPPLIES             43.0        28.0       26.0         23.0   \n",
       "ELECTRONICS                     599.0       373.0      379.0        367.0   \n",
       "SWIMWEAR/OUTERWEAR              170.0       138.0       72.0         75.0   \n",
       "HEALTH AND BEAUTY AIDS            0.0         0.0        0.0          1.0   \n",
       "\n",
       "                             N_Shopper  N_per_shopper  W_Monday_p  \\\n",
       "DepartmentDescription                                               \n",
       "HORTICULTURE AND ACCESS         2893.0       1.528863    0.099896   \n",
       "PETS AND SUPPLIES               9761.0       1.290032    0.116894   \n",
       "GROCERY DRY GOODS              70402.0       1.260163    0.132880   \n",
       "INFANT CONSUMABLE HARDLINES    10646.0       1.235112    0.141649   \n",
       "SHEER HOSIERY                    434.0       1.225806    0.115207   \n",
       "FROZEN FOODS                   21101.0       1.202218    0.125871   \n",
       "CANDY, TOBACCO, COOKIES         9808.0       1.197492    0.114498   \n",
       "PRE PACKED DELI                 9052.0       1.184490    0.142289   \n",
       "OFFICE SUPPLIES                 6578.0       1.176041    0.137884   \n",
       "LIQUOR,WINE,BEER                3861.0       1.173789    0.106190   \n",
       "DSD GROCERY                    68332.0       1.168033    0.127568   \n",
       "BAKERY                          7168.0       1.158482    0.130301   \n",
       "DAIRY                          43820.0       1.153583    0.136536   \n",
       "1-HR PHOTO                       394.0       1.149746    0.129442   \n",
       "COMM BREAD                     15244.0       1.149042    0.143860   \n",
       "MEAT - FRESH & FROZEN           9477.0       1.148254    0.139496   \n",
       "HOME MANAGEMENT                 6349.0       1.148212    0.135612   \n",
       "SEAFOOD                         1923.0       1.145086    0.121685   \n",
       "CELEBRATION                     8698.0       1.144746    0.102437   \n",
       "CONCEPT STORES                    35.0       1.142857    0.200000   \n",
       "FABRICS AND CRAFTS              5051.0       1.117205    0.149475   \n",
       "LAWN AND GARDEN                 5269.0       1.112925    0.103056   \n",
       "IMPULSE MERCHANDISE            28712.0       1.107934    0.118139   \n",
       "HOUSEHOLD PAPER GOODS          16274.0       1.105198    0.123633   \n",
       "PHARMACY OTC                   23306.0       1.099288    0.129023   \n",
       "PAINT AND ACCESSORIES           1720.0       1.093023    0.137209   \n",
       "HOUSEHOLD CHEMICALS/SUPP       24880.0       1.081793    0.132275   \n",
       "HOME DECOR                      4167.0       1.069834    0.115671   \n",
       "BATH AND SHOWER                 4582.0       1.069620    0.108468   \n",
       "PERSONAL CARE                  41969.0       1.067907    0.128357   \n",
       "...                                ...            ...         ...   \n",
       "BEAUTY                         14865.0       1.014262    0.133670   \n",
       "SPORTING GOODS                  5087.0       1.011205    0.110478   \n",
       "AUTOMOTIVE                      5414.0       1.009605    0.114149   \n",
       "LADIES SOCKS                     775.0       1.005161    0.143226   \n",
       "HARDWARE                        4913.0       1.000407    0.130063   \n",
       "LARGE HOUSEHOLD GOODS             77.0       1.000000    0.064935   \n",
       "OTHER DEPARTMENTS                 29.0       1.000000    0.000000   \n",
       "BOOKS AND MAGAZINES              992.0       0.988911    0.110887   \n",
       "INFANT APPAREL                  6051.0       0.972567    0.112709   \n",
       "PHARMACY RX                     2922.0       0.964408    0.132101   \n",
       "GIRLS WEAR, 4-6X  AND 7-14      4516.0       0.955270    0.113596   \n",
       "MENS WEAR                      12250.0       0.954286    0.118286   \n",
       "BOYS WEAR                       3892.0       0.944245    0.127441   \n",
       "ACCESSORIES                     1318.0       0.943854    0.132777   \n",
       "SHOES                           6099.0       0.943597    0.127562   \n",
       "JEWELRY AND SUNGLASSES          2526.0       0.935471    0.103325   \n",
       "SEASONAL                          29.0       0.931034    0.137931   \n",
       "SLEEPWEAR/FOUNDATIONS           2376.0       0.928030    0.128367   \n",
       "PLAYERS AND ELECTRONICS          686.0       0.913994    0.103499   \n",
       "MEDIA AND GAMING                1993.0       0.907677    0.110386   \n",
       "MENSWEAR                         338.0       0.893491    0.162722   \n",
       "BRAS & SHAPEWEAR                2036.0       0.855108    0.108546   \n",
       "PLUS AND MATERNITY               591.0       0.844332    0.089679   \n",
       "WIRELESS                        1898.0       0.842993    0.118019   \n",
       "LADIESWEAR                      8721.0       0.842908    0.117074   \n",
       "FINANCIAL SERVICES             10723.0       0.837732    0.134571   \n",
       "CAMERAS AND SUPPLIES             221.0       0.832579    0.095023   \n",
       "ELECTRONICS                     3190.0       0.749843    0.120690   \n",
       "SWIMWEAR/OUTERWEAR               860.0       0.687209    0.129070   \n",
       "HEALTH AND BEAUTY AIDS             2.0       0.000000    0.000000   \n",
       "\n",
       "                             W_Tuesday_p  W_Wednesday_p  W_Thursday_p  \\\n",
       "DepartmentDescription                                                   \n",
       "HORTICULTURE AND ACCESS         0.109575       0.113031      0.087452   \n",
       "PETS AND SUPPLIES               0.109210       0.101526      0.108698   \n",
       "GROCERY DRY GOODS               0.114869       0.107057      0.096602   \n",
       "INFANT CONSUMABLE HARDLINES     0.124366       0.118260      0.100319   \n",
       "SHEER HOSIERY                   0.064516       0.108295      0.105991   \n",
       "FROZEN FOODS                    0.108052       0.111511      0.098574   \n",
       "CANDY, TOBACCO, COOKIES         0.122553       0.113377      0.125408   \n",
       "PRE PACKED DELI                 0.108263       0.097106      0.092576   \n",
       "OFFICE SUPPLIES                 0.128306       0.128154      0.113864   \n",
       "LIQUOR,WINE,BEER                0.095571       0.103341      0.118881   \n",
       "DSD GROCERY                     0.111061       0.106583      0.105690   \n",
       "BAKERY                          0.125837       0.107840      0.116211   \n",
       "DAIRY                           0.116340       0.105157      0.099224   \n",
       "1-HR PHOTO                      0.144670       0.131980      0.167513   \n",
       "COMM BREAD                      0.123196       0.109682      0.094595   \n",
       "MEAT - FRESH & FROZEN           0.105624       0.094017      0.092856   \n",
       "HOME MANAGEMENT                 0.119546       0.106473      0.095921   \n",
       "SEAFOOD                         0.105044       0.110244      0.091004   \n",
       "CELEBRATION                     0.091745       0.122327      0.113244   \n",
       "CONCEPT STORES                  0.085714       0.228571      0.085714   \n",
       "FABRICS AND CRAFTS              0.099980       0.116215      0.139180   \n",
       "LAWN AND GARDEN                 0.097172       0.106092      0.098690   \n",
       "IMPULSE MERCHANDISE             0.110790       0.117581      0.118243   \n",
       "HOUSEHOLD PAPER GOODS           0.107165       0.107902      0.095490   \n",
       "PHARMACY OTC                    0.117352       0.120656      0.112460   \n",
       "PAINT AND ACCESSORIES           0.090116       0.152907      0.100000   \n",
       "HOUSEHOLD CHEMICALS/SUPP        0.104944       0.116479      0.095338   \n",
       "HOME DECOR                      0.116151       0.122150      0.119270   \n",
       "BATH AND SHOWER                 0.108250       0.114797      0.112178   \n",
       "PERSONAL CARE                   0.104482       0.110439      0.105030   \n",
       "...                                  ...            ...           ...   \n",
       "BEAUTY                          0.110730       0.113757      0.113623   \n",
       "SPORTING GOODS                  0.094948       0.108905      0.127580   \n",
       "AUTOMOTIVE                      0.102512       0.117658      0.106576   \n",
       "LADIES SOCKS                    0.110968       0.112258      0.103226   \n",
       "HARDWARE                        0.112151       0.113373      0.095868   \n",
       "LARGE HOUSEHOLD GOODS           0.168831       0.194805      0.064935   \n",
       "OTHER DEPARTMENTS               0.034483       0.000000      0.103448   \n",
       "BOOKS AND MAGAZINES             0.088710       0.106855      0.079637   \n",
       "INFANT APPAREL                  0.121468       0.105272      0.084449   \n",
       "PHARMACY RX                     0.154346       0.164271      0.143737   \n",
       "GIRLS WEAR, 4-6X  AND 7-14      0.108503       0.110053      0.122675   \n",
       "MENS WEAR                       0.114204       0.106857      0.095837   \n",
       "BOYS WEAR                       0.100462       0.103546      0.127441   \n",
       "ACCESSORIES                     0.108498       0.103187      0.112291   \n",
       "SHOES                           0.107395       0.099852      0.100180   \n",
       "JEWELRY AND SUNGLASSES          0.108868       0.105701      0.125891   \n",
       "SEASONAL                        0.103448       0.068966      0.206897   \n",
       "SLEEPWEAR/FOUNDATIONS           0.099747       0.104377      0.129630   \n",
       "PLAYERS AND ELECTRONICS         0.078717       0.064140      0.131195   \n",
       "MEDIA AND GAMING                0.081786       0.083793      0.103362   \n",
       "MENSWEAR                        0.118343       0.088757      0.121302   \n",
       "BRAS & SHAPEWEAR                0.103143       0.098723      0.135560   \n",
       "PLUS AND MATERNITY              0.150592       0.108291      0.109983   \n",
       "WIRELESS                        0.113277       0.112750      0.145943   \n",
       "LADIESWEAR                      0.110538       0.106524      0.111340   \n",
       "FINANCIAL SERVICES              0.130560       0.123473      0.108085   \n",
       "CAMERAS AND SUPPLIES            0.117647       0.104072      0.126697   \n",
       "ELECTRONICS                     0.118809       0.115047      0.116928   \n",
       "SWIMWEAR/OUTERWEAR              0.083721       0.087209      0.160465   \n",
       "HEALTH AND BEAUTY AIDS          0.000000       0.500000      0.000000   \n",
       "\n",
       "                             W_Friday_p  W_Saturday_p  W_Sunday_p  \n",
       "DepartmentDescription                                              \n",
       "HORTICULTURE AND ACCESS        0.167300      0.207397    0.215347  \n",
       "PETS AND SUPPLIES              0.153365      0.218830    0.191476  \n",
       "GROCERY DRY GOODS              0.143590      0.186017    0.218985  \n",
       "INFANT CONSUMABLE HARDLINES    0.143716      0.175935    0.195754  \n",
       "SHEER HOSIERY                  0.202765      0.258065    0.145161  \n",
       "FROZEN FOODS                   0.139140      0.189564    0.227288  \n",
       "CANDY, TOBACCO, COOKIES        0.177814      0.168332    0.178018  \n",
       "PRE PACKED DELI                0.140080      0.187583    0.232103  \n",
       "OFFICE SUPPLIES                0.144269      0.167680    0.179842  \n",
       "LIQUOR,WINE,BEER               0.189847      0.244237    0.141932  \n",
       "DSD GROCERY                    0.148583      0.187101    0.213414  \n",
       "BAKERY                         0.156250      0.178571    0.184989  \n",
       "DAIRY                          0.132656      0.182063    0.228024  \n",
       "1-HR PHOTO                     0.126904      0.131980    0.167513  \n",
       "COMM BREAD                     0.138022      0.172592    0.218053  \n",
       "MEAT - FRESH & FROZEN          0.144138      0.194154    0.229714  \n",
       "HOME MANAGEMENT                0.163175      0.187589    0.191684  \n",
       "SEAFOOD                        0.148726      0.186687    0.236609  \n",
       "CELEBRATION                    0.190504      0.222120    0.157622  \n",
       "CONCEPT STORES                 0.028571      0.285714    0.085714  \n",
       "FABRICS AND CRAFTS             0.149277      0.172243    0.173629  \n",
       "LAWN AND GARDEN                0.154109      0.226988    0.213893  \n",
       "IMPULSE MERCHANDISE            0.154047      0.190060    0.191140  \n",
       "HOUSEHOLD PAPER GOODS          0.150916      0.203269    0.211626  \n",
       "PHARMACY OTC                   0.153823      0.179439    0.187248  \n",
       "PAINT AND ACCESSORIES          0.179070      0.179651    0.161047  \n",
       "HOUSEHOLD CHEMICALS/SUPP       0.145780      0.193529    0.211656  \n",
       "HOME DECOR                     0.155028      0.202304    0.169426  \n",
       "BATH AND SHOWER                0.152335      0.200131    0.203841  \n",
       "PERSONAL CARE                  0.148991      0.190545    0.212157  \n",
       "...                                 ...           ...         ...  \n",
       "BEAUTY                         0.154457      0.188496    0.185267  \n",
       "SPORTING GOODS                 0.154511      0.191468    0.212109  \n",
       "AUTOMOTIVE                     0.152013      0.201699    0.205393  \n",
       "LADIES SOCKS                   0.149677      0.188387    0.192258  \n",
       "HARDWARE                       0.145736      0.189701    0.213108  \n",
       "LARGE HOUSEHOLD GOODS          0.233766      0.142857    0.129870  \n",
       "OTHER DEPARTMENTS              0.275862      0.206897    0.379310  \n",
       "BOOKS AND MAGAZINES            0.115927      0.251008    0.246976  \n",
       "INFANT APPAREL                 0.158321      0.216824    0.200959  \n",
       "PHARMACY RX                    0.159822      0.154346    0.091376  \n",
       "GIRLS WEAR, 4-6X  AND 7-14     0.132418      0.187998    0.224756  \n",
       "MENS WEAR                      0.144163      0.192245    0.228408  \n",
       "BOYS WEAR                      0.127698      0.188849    0.224563  \n",
       "ACCESSORIES                    0.129742      0.195751    0.217754  \n",
       "SHOES                          0.130185      0.202164    0.232661  \n",
       "JEWELRY AND SUNGLASSES         0.150040      0.219715    0.186461  \n",
       "SEASONAL                       0.206897      0.103448    0.172414  \n",
       "SLEEPWEAR/FOUNDATIONS          0.154040      0.194865    0.188973  \n",
       "PLAYERS AND ELECTRONICS        0.209913      0.234694    0.177843  \n",
       "MEDIA AND GAMING               0.169092      0.207225    0.244355  \n",
       "MENSWEAR                       0.109467      0.183432    0.215976  \n",
       "BRAS & SHAPEWEAR               0.180747      0.191061    0.182220  \n",
       "PLUS AND MATERNITY             0.187817      0.216582    0.137056  \n",
       "WIRELESS                       0.158588      0.177028    0.174394  \n",
       "LADIESWEAR                     0.174177      0.211558    0.168788  \n",
       "FINANCIAL SERVICES             0.181386      0.174112    0.147813  \n",
       "CAMERAS AND SUPPLIES           0.171946      0.190045    0.194570  \n",
       "ELECTRONICS                    0.159248      0.181505    0.187774  \n",
       "SWIMWEAR/OUTERWEAR             0.145349      0.196512    0.197674  \n",
       "HEALTH AND BEAUTY AIDS         0.000000      0.500000    0.000000  \n",
       "\n",
       "[68 rows x 17 columns]"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table2.sort_values(by = 'N_per_shopper', ascending = False )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "table3 = pd.DataFrame(table)\n",
    "table3[['N_per_shopper','W_Monday', 'W_Tuesday', 'W_Wednesday','W_Thursday', 'W_Friday', 'W_Saturday','W_Sunday']] = table[['ScanCount','W_Monday', 'W_Tuesday', 'W_Wednesday','W_Thursday', 'W_Friday', 'W_Saturday','W_Sunday']].div(table['N_Shopper'].values,axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "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>ScanCount</th>\n",
       "      <th>W_Friday</th>\n",
       "      <th>W_Monday</th>\n",
       "      <th>W_Saturday</th>\n",
       "      <th>W_Sunday</th>\n",
       "      <th>W_Thursday</th>\n",
       "      <th>W_Tuesday</th>\n",
       "      <th>W_Wednesday</th>\n",
       "      <th>N_Shopper</th>\n",
       "      <th>N_per_shopper</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DepartmentDescription</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1-HR PHOTO</th>\n",
       "      <td>453</td>\n",
       "      <td>0.126904</td>\n",
       "      <td>0.129442</td>\n",
       "      <td>0.131980</td>\n",
       "      <td>0.167513</td>\n",
       "      <td>0.167513</td>\n",
       "      <td>0.144670</td>\n",
       "      <td>0.131980</td>\n",
       "      <td>394.0</td>\n",
       "      <td>1.149746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACCESSORIES</th>\n",
       "      <td>1244</td>\n",
       "      <td>0.129742</td>\n",
       "      <td>0.132777</td>\n",
       "      <td>0.195751</td>\n",
       "      <td>0.217754</td>\n",
       "      <td>0.112291</td>\n",
       "      <td>0.108498</td>\n",
       "      <td>0.103187</td>\n",
       "      <td>1318.0</td>\n",
       "      <td>0.943854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUTOMOTIVE</th>\n",
       "      <td>5466</td>\n",
       "      <td>0.152013</td>\n",
       "      <td>0.114149</td>\n",
       "      <td>0.201699</td>\n",
       "      <td>0.205393</td>\n",
       "      <td>0.106576</td>\n",
       "      <td>0.102512</td>\n",
       "      <td>0.117658</td>\n",
       "      <td>5414.0</td>\n",
       "      <td>1.009605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAKERY</th>\n",
       "      <td>8304</td>\n",
       "      <td>0.156250</td>\n",
       "      <td>0.130301</td>\n",
       "      <td>0.178571</td>\n",
       "      <td>0.184989</td>\n",
       "      <td>0.116211</td>\n",
       "      <td>0.125837</td>\n",
       "      <td>0.107840</td>\n",
       "      <td>7168.0</td>\n",
       "      <td>1.158482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BATH AND SHOWER</th>\n",
       "      <td>4901</td>\n",
       "      <td>0.152335</td>\n",
       "      <td>0.108468</td>\n",
       "      <td>0.200131</td>\n",
       "      <td>0.203841</td>\n",
       "      <td>0.112178</td>\n",
       "      <td>0.108250</td>\n",
       "      <td>0.114797</td>\n",
       "      <td>4582.0</td>\n",
       "      <td>1.069620</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       ScanCount  W_Friday  W_Monday  W_Saturday  W_Sunday  \\\n",
       "DepartmentDescription                                                        \n",
       "1-HR PHOTO                   453  0.126904  0.129442    0.131980  0.167513   \n",
       "ACCESSORIES                 1244  0.129742  0.132777    0.195751  0.217754   \n",
       "AUTOMOTIVE                  5466  0.152013  0.114149    0.201699  0.205393   \n",
       "BAKERY                      8304  0.156250  0.130301    0.178571  0.184989   \n",
       "BATH AND SHOWER             4901  0.152335  0.108468    0.200131  0.203841   \n",
       "\n",
       "                       W_Thursday  W_Tuesday  W_Wednesday  N_Shopper  \\\n",
       "DepartmentDescription                                                  \n",
       "1-HR PHOTO               0.167513   0.144670     0.131980      394.0   \n",
       "ACCESSORIES              0.112291   0.108498     0.103187     1318.0   \n",
       "AUTOMOTIVE               0.106576   0.102512     0.117658     5414.0   \n",
       "BAKERY                   0.116211   0.125837     0.107840     7168.0   \n",
       "BATH AND SHOWER          0.112178   0.108250     0.114797     4582.0   \n",
       "\n",
       "                       N_per_shopper  \n",
       "DepartmentDescription                 \n",
       "1-HR PHOTO                  1.149746  \n",
       "ACCESSORIES                 0.943854  \n",
       "AUTOMOTIVE                  1.009605  \n",
       "BAKERY                      1.158482  \n",
       "BATH AND SHOWER             1.069620  "
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA()\n",
    "scaler = StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ScanCount', 'W_Friday', 'W_Monday', 'W_Saturday', 'W_Sunday',\n",
       "       'W_Thursday', 'W_Tuesday', 'W_Wednesday', 'N_Shopper', 'N_per_shopper'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table3.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "scrolled": true
   },
   "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>ScanCount</th>\n",
       "      <th>W_Friday</th>\n",
       "      <th>W_Monday</th>\n",
       "      <th>W_Saturday</th>\n",
       "      <th>W_Sunday</th>\n",
       "      <th>W_Thursday</th>\n",
       "      <th>W_Tuesday</th>\n",
       "      <th>W_Wednesday</th>\n",
       "      <th>N_Shopper</th>\n",
       "      <th>N_per_shopper</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.590883</td>\n",
       "      <td>-0.775528</td>\n",
       "      <td>0.358597</td>\n",
       "      <td>-1.440174</td>\n",
       "      <td>-0.389975</td>\n",
       "      <td>2.184912</td>\n",
       "      <td>1.231997</td>\n",
       "      <td>0.252392</td>\n",
       "      <td>-0.622662</td>\n",
       "      <td>0.650151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.544526</td>\n",
       "      <td>-0.699412</td>\n",
       "      <td>0.464568</td>\n",
       "      <td>-0.071115</td>\n",
       "      <td>0.555492</td>\n",
       "      <td>0.058479</td>\n",
       "      <td>-0.044772</td>\n",
       "      <td>-0.274299</td>\n",
       "      <td>-0.559448</td>\n",
       "      <td>-0.455714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.297097</td>\n",
       "      <td>-0.102197</td>\n",
       "      <td>-0.127308</td>\n",
       "      <td>0.056581</td>\n",
       "      <td>0.322882</td>\n",
       "      <td>-0.161622</td>\n",
       "      <td>-0.256049</td>\n",
       "      <td>-0.009586</td>\n",
       "      <td>-0.279228</td>\n",
       "      <td>-0.102562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.130777</td>\n",
       "      <td>0.011413</td>\n",
       "      <td>0.385912</td>\n",
       "      <td>-0.439933</td>\n",
       "      <td>-0.061101</td>\n",
       "      <td>0.209412</td>\n",
       "      <td>0.567252</td>\n",
       "      <td>-0.189171</td>\n",
       "      <td>-0.159231</td>\n",
       "      <td>0.697073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.330209</td>\n",
       "      <td>-0.093564</td>\n",
       "      <td>-0.307795</td>\n",
       "      <td>0.022911</td>\n",
       "      <td>0.293670</td>\n",
       "      <td>0.054118</td>\n",
       "      <td>-0.053527</td>\n",
       "      <td>-0.061919</td>\n",
       "      <td>-0.336147</td>\n",
       "      <td>0.219787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.266152</td>\n",
       "      <td>-0.036674</td>\n",
       "      <td>0.492934</td>\n",
       "      <td>-0.226860</td>\n",
       "      <td>-0.055859</td>\n",
       "      <td>0.109742</td>\n",
       "      <td>0.034017</td>\n",
       "      <td>-0.080940</td>\n",
       "      <td>0.367346</td>\n",
       "      <td>-0.077549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-0.478420</td>\n",
       "      <td>-0.517095</td>\n",
       "      <td>0.983559</td>\n",
       "      <td>-0.839745</td>\n",
       "      <td>0.046824</td>\n",
       "      <td>0.958886</td>\n",
       "      <td>-0.095326</td>\n",
       "      <td>0.050382</td>\n",
       "      <td>-0.491788</td>\n",
       "      <td>-0.002819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.559939</td>\n",
       "      <td>-1.069858</td>\n",
       "      <td>-0.230931</td>\n",
       "      <td>1.115152</td>\n",
       "      <td>1.105398</td>\n",
       "      <td>-1.198953</td>\n",
       "      <td>-0.743227</td>\n",
       "      <td>-0.207199</td>\n",
       "      <td>-0.581751</td>\n",
       "      <td>-0.213709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.402058</td>\n",
       "      <td>-0.754228</td>\n",
       "      <td>0.295028</td>\n",
       "      <td>-0.219294</td>\n",
       "      <td>0.683627</td>\n",
       "      <td>0.641850</td>\n",
       "      <td>-0.328390</td>\n",
       "      <td>-0.267730</td>\n",
       "      <td>-0.383353</td>\n",
       "      <td>-0.453618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.515400</td>\n",
       "      <td>0.668301</td>\n",
       "      <td>-0.305309</td>\n",
       "      <td>-0.171806</td>\n",
       "      <td>-0.113205</td>\n",
       "      <td>0.954492</td>\n",
       "      <td>-0.233762</td>\n",
       "      <td>-0.355950</td>\n",
       "      <td>-0.510328</td>\n",
       "      <td>-0.932379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-0.606647</td>\n",
       "      <td>0.432301</td>\n",
       "      <td>-0.734989</td>\n",
       "      <td>-0.193611</td>\n",
       "      <td>0.119204</td>\n",
       "      <td>0.613197</td>\n",
       "      <td>0.278171</td>\n",
       "      <td>-0.258097</td>\n",
       "      <td>-0.634498</td>\n",
       "      <td>-1.053384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.070881</td>\n",
       "      <td>0.589663</td>\n",
       "      <td>-0.116192</td>\n",
       "      <td>-0.659756</td>\n",
       "      <td>-0.192282</td>\n",
       "      <td>0.563561</td>\n",
       "      <td>0.451336</td>\n",
       "      <td>-0.087897</td>\n",
       "      <td>0.021380</td>\n",
       "      <td>0.906598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.033904</td>\n",
       "      <td>0.929940</td>\n",
       "      <td>-0.499403</td>\n",
       "      <td>0.494978</td>\n",
       "      <td>-0.576094</td>\n",
       "      <td>0.095179</td>\n",
       "      <td>-0.636082</td>\n",
       "      <td>0.075821</td>\n",
       "      <td>-0.054559</td>\n",
       "      <td>0.623294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.409089</td>\n",
       "      <td>-0.477394</td>\n",
       "      <td>0.816704</td>\n",
       "      <td>-0.568290</td>\n",
       "      <td>0.561115</td>\n",
       "      <td>-0.622978</td>\n",
       "      <td>0.474031</td>\n",
       "      <td>-0.155475</td>\n",
       "      <td>0.393275</td>\n",
       "      <td>0.646370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.615086</td>\n",
       "      <td>-3.412354</td>\n",
       "      <td>2.600429</td>\n",
       "      <td>1.860233</td>\n",
       "      <td>-1.929294</td>\n",
       "      <td>-0.964936</td>\n",
       "      <td>-0.848955</td>\n",
       "      <td>2.019275</td>\n",
       "      <td>-0.647222</td>\n",
       "      <td>0.613149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.142615</td>\n",
       "      <td>-0.089146</td>\n",
       "      <td>0.418144</td>\n",
       "      <td>-0.208706</td>\n",
       "      <td>0.345192</td>\n",
       "      <td>-0.262826</td>\n",
       "      <td>0.282269</td>\n",
       "      <td>-0.359066</td>\n",
       "      <td>-0.129676</td>\n",
       "      <td>0.200625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2.345036</td>\n",
       "      <td>-0.621264</td>\n",
       "      <td>0.583999</td>\n",
       "      <td>-0.364975</td>\n",
       "      <td>0.748749</td>\n",
       "      <td>-0.444708</td>\n",
       "      <td>0.232021</td>\n",
       "      <td>-0.238248</td>\n",
       "      <td>2.348251</td>\n",
       "      <td>0.670758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>4.060043</td>\n",
       "      <td>-0.194172</td>\n",
       "      <td>0.299077</td>\n",
       "      <td>-0.256814</td>\n",
       "      <td>0.473815</td>\n",
       "      <td>-0.195727</td>\n",
       "      <td>0.045693</td>\n",
       "      <td>-0.212180</td>\n",
       "      <td>4.025197</td>\n",
       "      <td>0.748369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.477248</td>\n",
       "      <td>0.091796</td>\n",
       "      <td>0.080523</td>\n",
       "      <td>-0.376961</td>\n",
       "      <td>-0.008683</td>\n",
       "      <td>0.237021</td>\n",
       "      <td>0.319176</td>\n",
       "      <td>-0.057346</td>\n",
       "      <td>-0.431379</td>\n",
       "      <td>-1.497767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.286724</td>\n",
       "      <td>-0.175562</td>\n",
       "      <td>0.995123</td>\n",
       "      <td>-0.575790</td>\n",
       "      <td>-0.274876</td>\n",
       "      <td>1.093906</td>\n",
       "      <td>-0.345413</td>\n",
       "      <td>-0.035988</td>\n",
       "      <td>-0.304062</td>\n",
       "      <td>0.475367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-0.090985</td>\n",
       "      <td>0.685442</td>\n",
       "      <td>0.521556</td>\n",
       "      <td>-0.535675</td>\n",
       "      <td>-0.760690</td>\n",
       "      <td>-0.103481</td>\n",
       "      <td>0.733974</td>\n",
       "      <td>0.096783</td>\n",
       "      <td>0.083978</td>\n",
       "      <td>-1.025708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.869253</td>\n",
       "      <td>-0.447392</td>\n",
       "      <td>0.245142</td>\n",
       "      <td>-0.203932</td>\n",
       "      <td>0.734900</td>\n",
       "      <td>-0.469759</td>\n",
       "      <td>-0.060513</td>\n",
       "      <td>-0.122022</td>\n",
       "      <td>0.793971</td>\n",
       "      <td>0.931982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.587718</td>\n",
       "      <td>0.543717</td>\n",
       "      <td>-0.823299</td>\n",
       "      <td>0.407158</td>\n",
       "      <td>-0.425621</td>\n",
       "      <td>0.739586</td>\n",
       "      <td>-0.544508</td>\n",
       "      <td>0.100749</td>\n",
       "      <td>-0.616984</td>\n",
       "      <td>0.183655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-0.364610</td>\n",
       "      <td>-0.627653</td>\n",
       "      <td>-0.144859</td>\n",
       "      <td>-0.237556</td>\n",
       "      <td>0.687263</td>\n",
       "      <td>0.458324</td>\n",
       "      <td>-0.044582</td>\n",
       "      <td>-0.148695</td>\n",
       "      <td>-0.340663</td>\n",
       "      <td>-0.394399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4.581859</td>\n",
       "      <td>-0.328081</td>\n",
       "      <td>0.467835</td>\n",
       "      <td>-0.280080</td>\n",
       "      <td>0.578659</td>\n",
       "      <td>-0.545664</td>\n",
       "      <td>0.180110</td>\n",
       "      <td>-0.203508</td>\n",
       "      <td>4.166812</td>\n",
       "      <td>1.243211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-0.329388</td>\n",
       "      <td>-0.270531</td>\n",
       "      <td>0.378342</td>\n",
       "      <td>-0.201005</td>\n",
       "      <td>0.468060</td>\n",
       "      <td>-0.573938</td>\n",
       "      <td>0.084193</td>\n",
       "      <td>-0.087973</td>\n",
       "      <td>-0.313503</td>\n",
       "      <td>-0.151964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.617430</td>\n",
       "      <td>-4.178512</td>\n",
       "      <td>-3.754117</td>\n",
       "      <td>6.460564</td>\n",
       "      <td>-3.542303</td>\n",
       "      <td>-4.265574</td>\n",
       "      <td>-3.874398</td>\n",
       "      <td>6.984323</td>\n",
       "      <td>-0.649480</td>\n",
       "      <td>-5.525249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-0.356171</td>\n",
       "      <td>-0.021367</td>\n",
       "      <td>-0.078942</td>\n",
       "      <td>0.069559</td>\n",
       "      <td>-0.353961</td>\n",
       "      <td>0.327227</td>\n",
       "      <td>0.225354</td>\n",
       "      <td>0.072588</td>\n",
       "      <td>-0.364539</td>\n",
       "      <td>0.220937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-0.190202</td>\n",
       "      <td>0.197118</td>\n",
       "      <td>0.554643</td>\n",
       "      <td>-0.246350</td>\n",
       "      <td>0.064887</td>\n",
       "      <td>-0.571916</td>\n",
       "      <td>0.345211</td>\n",
       "      <td>-0.214176</td>\n",
       "      <td>-0.215261</td>\n",
       "      <td>0.641913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.358222</td>\n",
       "      <td>0.307734</td>\n",
       "      <td>-0.580139</td>\n",
       "      <td>0.178904</td>\n",
       "      <td>0.510200</td>\n",
       "      <td>-0.898003</td>\n",
       "      <td>-0.006753</td>\n",
       "      <td>-0.094215</td>\n",
       "      <td>-0.451697</td>\n",
       "      <td>2.686424</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>38</th>\n",
       "      <td>-0.612918</td>\n",
       "      <td>2.090050</td>\n",
       "      <td>-1.690953</td>\n",
       "      <td>-1.206655</td>\n",
       "      <td>-1.098349</td>\n",
       "      <td>-1.765091</td>\n",
       "      <td>2.084808</td>\n",
       "      <td>1.401613</td>\n",
       "      <td>-0.644349</td>\n",
       "      <td>-0.154150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>-0.273773</td>\n",
       "      <td>-0.046001</td>\n",
       "      <td>-0.479759</td>\n",
       "      <td>0.599485</td>\n",
       "      <td>0.482823</td>\n",
       "      <td>-0.465257</td>\n",
       "      <td>-0.444529</td>\n",
       "      <td>-0.221149</td>\n",
       "      <td>-0.289148</td>\n",
       "      <td>0.452379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>-0.351834</td>\n",
       "      <td>0.912339</td>\n",
       "      <td>-0.380168</td>\n",
       "      <td>0.969795</td>\n",
       "      <td>-0.871361</td>\n",
       "      <td>0.312234</td>\n",
       "      <td>-0.501041</td>\n",
       "      <td>-0.271474</td>\n",
       "      <td>-0.385473</td>\n",
       "      <td>0.779288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>0.020306</td>\n",
       "      <td>-0.313365</td>\n",
       "      <td>0.678039</td>\n",
       "      <td>-0.105397</td>\n",
       "      <td>0.780558</td>\n",
       "      <td>-0.689912</td>\n",
       "      <td>-0.146200</td>\n",
       "      <td>-0.442031</td>\n",
       "      <td>-0.001265</td>\n",
       "      <td>0.642135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>-0.511415</td>\n",
       "      <td>0.355773</td>\n",
       "      <td>-0.246841</td>\n",
       "      <td>0.175214</td>\n",
       "      <td>1.056083</td>\n",
       "      <td>-0.285377</td>\n",
       "      <td>-0.987602</td>\n",
       "      <td>-0.629048</td>\n",
       "      <td>-0.513269</td>\n",
       "      <td>-0.650027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>0.067658</td>\n",
       "      <td>-0.312699</td>\n",
       "      <td>0.004143</td>\n",
       "      <td>-0.146388</td>\n",
       "      <td>0.755983</td>\n",
       "      <td>-0.575146</td>\n",
       "      <td>0.156645</td>\n",
       "      <td>-0.207157</td>\n",
       "      <td>0.188445</td>\n",
       "      <td>-0.399686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>-0.599732</td>\n",
       "      <td>-1.243086</td>\n",
       "      <td>1.416002</td>\n",
       "      <td>-0.335586</td>\n",
       "      <td>0.522036</td>\n",
       "      <td>0.405447</td>\n",
       "      <td>0.302742</td>\n",
       "      <td>-0.538243</td>\n",
       "      <td>-0.626493</td>\n",
       "      <td>-0.726220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>-0.164065</td>\n",
       "      <td>-0.309870</td>\n",
       "      <td>0.626829</td>\n",
       "      <td>-0.673749</td>\n",
       "      <td>-0.157958</td>\n",
       "      <td>0.119053</td>\n",
       "      <td>0.654414</td>\n",
       "      <td>0.182419</td>\n",
       "      <td>-0.199595</td>\n",
       "      <td>0.791385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>-0.582150</td>\n",
       "      <td>1.101227</td>\n",
       "      <td>-0.406731</td>\n",
       "      <td>1.436483</td>\n",
       "      <td>-2.177235</td>\n",
       "      <td>-1.272767</td>\n",
       "      <td>1.490233</td>\n",
       "      <td>0.207648</td>\n",
       "      <td>-0.610006</td>\n",
       "      <td>0.059209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>-0.612332</td>\n",
       "      <td>2.131021</td>\n",
       "      <td>-3.754117</td>\n",
       "      <td>-0.232467</td>\n",
       "      <td>-3.542303</td>\n",
       "      <td>1.170771</td>\n",
       "      <td>4.430739</td>\n",
       "      <td>1.496638</td>\n",
       "      <td>-0.643802</td>\n",
       "      <td>-0.027772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>-0.615731</td>\n",
       "      <td>3.218872</td>\n",
       "      <td>-3.754117</td>\n",
       "      <td>0.168157</td>\n",
       "      <td>3.595728</td>\n",
       "      <td>-0.282045</td>\n",
       "      <td>-2.657265</td>\n",
       "      <td>-2.161818</td>\n",
       "      <td>-0.647633</td>\n",
       "      <td>-0.154150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>-0.507254</td>\n",
       "      <td>0.623336</td>\n",
       "      <td>0.605397</td>\n",
       "      <td>-0.416753</td>\n",
       "      <td>-0.511658</td>\n",
       "      <td>-0.414830</td>\n",
       "      <td>-0.693578</td>\n",
       "      <td>0.635199</td>\n",
       "      <td>-0.531946</td>\n",
       "      <td>0.345487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2.009173</td>\n",
       "      <td>-0.183243</td>\n",
       "      <td>0.324124</td>\n",
       "      <td>-0.182873</td>\n",
       "      <td>0.450154</td>\n",
       "      <td>-0.221141</td>\n",
       "      <td>-0.186518</td>\n",
       "      <td>-0.141643</td>\n",
       "      <td>2.221618</td>\n",
       "      <td>0.210586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>0.120520</td>\n",
       "      <td>-0.065939</td>\n",
       "      <td>-0.040083</td>\n",
       "      <td>0.424347</td>\n",
       "      <td>0.060983</td>\n",
       "      <td>-0.079896</td>\n",
       "      <td>-0.019626</td>\n",
       "      <td>-0.304667</td>\n",
       "      <td>0.018165</td>\n",
       "      <td>1.403639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>0.884021</td>\n",
       "      <td>-0.053667</td>\n",
       "      <td>0.345282</td>\n",
       "      <td>-0.421313</td>\n",
       "      <td>-0.018588</td>\n",
       "      <td>0.064985</td>\n",
       "      <td>0.267748</td>\n",
       "      <td>0.045249</td>\n",
       "      <td>0.944822</td>\n",
       "      <td>0.379134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>-0.452282</td>\n",
       "      <td>0.107199</td>\n",
       "      <td>0.443102</td>\n",
       "      <td>-0.960002</td>\n",
       "      <td>-1.822753</td>\n",
       "      <td>1.269377</td>\n",
       "      <td>1.573539</td>\n",
       "      <td>0.843074</td>\n",
       "      <td>-0.449713</td>\n",
       "      <td>-0.345319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>-0.580685</td>\n",
       "      <td>1.450401</td>\n",
       "      <td>-0.465686</td>\n",
       "      <td>0.764916</td>\n",
       "      <td>-0.195583</td>\n",
       "      <td>0.786423</td>\n",
       "      <td>-1.095930</td>\n",
       "      <td>-0.988552</td>\n",
       "      <td>-0.602685</td>\n",
       "      <td>-0.616096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>-0.588187</td>\n",
       "      <td>0.857905</td>\n",
       "      <td>-0.904786</td>\n",
       "      <td>0.376087</td>\n",
       "      <td>-0.963125</td>\n",
       "      <td>-0.030407</td>\n",
       "      <td>1.441030</td>\n",
       "      <td>-0.180928</td>\n",
       "      <td>-0.609185</td>\n",
       "      <td>-0.990260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>0.010929</td>\n",
       "      <td>-0.422207</td>\n",
       "      <td>0.766793</td>\n",
       "      <td>-0.246474</td>\n",
       "      <td>0.825522</td>\n",
       "      <td>-0.700700</td>\n",
       "      <td>-0.053044</td>\n",
       "      <td>-0.385535</td>\n",
       "      <td>-0.030340</td>\n",
       "      <td>0.836762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2.477658</td>\n",
       "      <td>-0.515150</td>\n",
       "      <td>0.631843</td>\n",
       "      <td>-0.407458</td>\n",
       "      <td>0.701833</td>\n",
       "      <td>-0.408426</td>\n",
       "      <td>0.141079</td>\n",
       "      <td>-0.226483</td>\n",
       "      <td>2.847326</td>\n",
       "      <td>0.024273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>-0.488383</td>\n",
       "      <td>-0.190349</td>\n",
       "      <td>0.112143</td>\n",
       "      <td>-0.265696</td>\n",
       "      <td>0.910319</td>\n",
       "      <td>-0.761256</td>\n",
       "      <td>-0.166670</td>\n",
       "      <td>-0.145196</td>\n",
       "      <td>-0.518058</td>\n",
       "      <td>0.625120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>-0.615848</td>\n",
       "      <td>1.369526</td>\n",
       "      <td>0.628328</td>\n",
       "      <td>-2.052693</td>\n",
       "      <td>-0.297744</td>\n",
       "      <td>3.701483</td>\n",
       "      <td>-0.223001</td>\n",
       "      <td>-0.900282</td>\n",
       "      <td>-0.647633</td>\n",
       "      <td>-0.524571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>0.014152</td>\n",
       "      <td>0.158786</td>\n",
       "      <td>0.393562</td>\n",
       "      <td>-0.852026</td>\n",
       "      <td>-0.351697</td>\n",
       "      <td>0.666208</td>\n",
       "      <td>0.750753</td>\n",
       "      <td>0.027403</td>\n",
       "      <td>0.043204</td>\n",
       "      <td>0.190593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>-0.586253</td>\n",
       "      <td>1.258736</td>\n",
       "      <td>-0.093664</td>\n",
       "      <td>1.266642</td>\n",
       "      <td>-0.810593</td>\n",
       "      <td>-0.184140</td>\n",
       "      <td>-1.597183</td>\n",
       "      <td>-0.180857</td>\n",
       "      <td>-0.619926</td>\n",
       "      <td>1.058678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>-0.280161</td>\n",
       "      <td>-0.687526</td>\n",
       "      <td>0.298872</td>\n",
       "      <td>0.066564</td>\n",
       "      <td>0.836017</td>\n",
       "      <td>-0.407884</td>\n",
       "      <td>-0.083707</td>\n",
       "      <td>-0.335289</td>\n",
       "      <td>-0.232365</td>\n",
       "      <td>-0.457095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>-0.488207</td>\n",
       "      <td>-0.047839</td>\n",
       "      <td>0.324453</td>\n",
       "      <td>-0.090132</td>\n",
       "      <td>0.013876</td>\n",
       "      <td>0.726132</td>\n",
       "      <td>-0.353628</td>\n",
       "      <td>-0.252523</td>\n",
       "      <td>-0.487067</td>\n",
       "      <td>-0.540707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>-0.315968</td>\n",
       "      <td>-0.035206</td>\n",
       "      <td>-0.243940</td>\n",
       "      <td>-0.163057</td>\n",
       "      <td>0.449264</td>\n",
       "      <td>0.647210</td>\n",
       "      <td>-0.523037</td>\n",
       "      <td>-0.169696</td>\n",
       "      <td>-0.301599</td>\n",
       "      <td>-0.093967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>-0.582795</td>\n",
       "      <td>-0.280908</td>\n",
       "      <td>0.346782</td>\n",
       "      <td>-0.054789</td>\n",
       "      <td>0.177622</td>\n",
       "      <td>1.913528</td>\n",
       "      <td>-0.919314</td>\n",
       "      <td>-0.566561</td>\n",
       "      <td>-0.590782</td>\n",
       "      <td>-1.834180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>-0.253495</td>\n",
       "      <td>-0.033457</td>\n",
       "      <td>-0.205894</td>\n",
       "      <td>0.545996</td>\n",
       "      <td>0.851852</td>\n",
       "      <td>-0.614713</td>\n",
       "      <td>-0.874716</td>\n",
       "      <td>-0.406574</td>\n",
       "      <td>-0.231817</td>\n",
       "      <td>-0.063562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>-0.523663</td>\n",
       "      <td>0.074107</td>\n",
       "      <td>-0.004332</td>\n",
       "      <td>-0.473058</td>\n",
       "      <td>-0.260477</td>\n",
       "      <td>1.354322</td>\n",
       "      <td>0.123926</td>\n",
       "      <td>-0.099359</td>\n",
       "      <td>-0.519769</td>\n",
       "      <td>-0.997452</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    ScanCount  W_Friday  W_Monday  W_Saturday  W_Sunday  W_Thursday  \\\n",
       "0   -0.590883 -0.775528  0.358597   -1.440174 -0.389975    2.184912   \n",
       "1   -0.544526 -0.699412  0.464568   -0.071115  0.555492    0.058479   \n",
       "2   -0.297097 -0.102197 -0.127308    0.056581  0.322882   -0.161622   \n",
       "3   -0.130777  0.011413  0.385912   -0.439933 -0.061101    0.209412   \n",
       "4   -0.330209 -0.093564 -0.307795    0.022911  0.293670    0.054118   \n",
       "5    0.266152 -0.036674  0.492934   -0.226860 -0.055859    0.109742   \n",
       "6   -0.478420 -0.517095  0.983559   -0.839745  0.046824    0.958886   \n",
       "7   -0.559939 -1.069858 -0.230931    1.115152  1.105398   -1.198953   \n",
       "8   -0.402058 -0.754228  0.295028   -0.219294  0.683627    0.641850   \n",
       "9   -0.515400  0.668301 -0.305309   -0.171806 -0.113205    0.954492   \n",
       "10  -0.606647  0.432301 -0.734989   -0.193611  0.119204    0.613197   \n",
       "11   0.070881  0.589663 -0.116192   -0.659756 -0.192282    0.563561   \n",
       "12  -0.033904  0.929940 -0.499403    0.494978 -0.576094    0.095179   \n",
       "13   0.409089 -0.477394  0.816704   -0.568290  0.561115   -0.622978   \n",
       "14  -0.615086 -3.412354  2.600429    1.860233 -1.929294   -0.964936   \n",
       "15  -0.142615 -0.089146  0.418144   -0.208706  0.345192   -0.262826   \n",
       "16   2.345036 -0.621264  0.583999   -0.364975  0.748749   -0.444708   \n",
       "17   4.060043 -0.194172  0.299077   -0.256814  0.473815   -0.195727   \n",
       "18  -0.477248  0.091796  0.080523   -0.376961 -0.008683    0.237021   \n",
       "19  -0.286724 -0.175562  0.995123   -0.575790 -0.274876    1.093906   \n",
       "20  -0.090985  0.685442  0.521556   -0.535675 -0.760690   -0.103481   \n",
       "21   0.869253 -0.447392  0.245142   -0.203932  0.734900   -0.469759   \n",
       "22  -0.587718  0.543717 -0.823299    0.407158 -0.425621    0.739586   \n",
       "23  -0.364610 -0.627653 -0.144859   -0.237556  0.687263    0.458324   \n",
       "24   4.581859 -0.328081  0.467835   -0.280080  0.578659   -0.545664   \n",
       "25  -0.329388 -0.270531  0.378342   -0.201005  0.468060   -0.573938   \n",
       "26  -0.617430 -4.178512 -3.754117    6.460564 -3.542303   -4.265574   \n",
       "27  -0.356171 -0.021367 -0.078942    0.069559 -0.353961    0.327227   \n",
       "28  -0.190202  0.197118  0.554643   -0.246350  0.064887   -0.571916   \n",
       "29  -0.358222  0.307734 -0.580139    0.178904  0.510200   -0.898003   \n",
       "..        ...       ...       ...         ...       ...         ...   \n",
       "38  -0.612918  2.090050 -1.690953   -1.206655 -1.098349   -1.765091   \n",
       "39  -0.273773 -0.046001 -0.479759    0.599485  0.482823   -0.465257   \n",
       "40  -0.351834  0.912339 -0.380168    0.969795 -0.871361    0.312234   \n",
       "41   0.020306 -0.313365  0.678039   -0.105397  0.780558   -0.689912   \n",
       "42  -0.511415  0.355773 -0.246841    0.175214  1.056083   -0.285377   \n",
       "43   0.067658 -0.312699  0.004143   -0.146388  0.755983   -0.575146   \n",
       "44  -0.599732 -1.243086  1.416002   -0.335586  0.522036    0.405447   \n",
       "45  -0.164065 -0.309870  0.626829   -0.673749 -0.157958    0.119053   \n",
       "46  -0.582150  1.101227 -0.406731    1.436483 -2.177235   -1.272767   \n",
       "47  -0.612332  2.131021 -3.754117   -0.232467 -3.542303    1.170771   \n",
       "48  -0.615731  3.218872 -3.754117    0.168157  3.595728   -0.282045   \n",
       "49  -0.507254  0.623336  0.605397   -0.416753 -0.511658   -0.414830   \n",
       "50   2.009173 -0.183243  0.324124   -0.182873  0.450154   -0.221141   \n",
       "51   0.120520 -0.065939 -0.040083    0.424347  0.060983   -0.079896   \n",
       "52   0.884021 -0.053667  0.345282   -0.421313 -0.018588    0.064985   \n",
       "53  -0.452282  0.107199  0.443102   -0.960002 -1.822753    1.269377   \n",
       "54  -0.580685  1.450401 -0.465686    0.764916 -0.195583    0.786423   \n",
       "55  -0.588187  0.857905 -0.904786    0.376087 -0.963125   -0.030407   \n",
       "56   0.010929 -0.422207  0.766793   -0.246474  0.825522   -0.700700   \n",
       "57   2.477658 -0.515150  0.631843   -0.407458  0.701833   -0.408426   \n",
       "58  -0.488383 -0.190349  0.112143   -0.265696  0.910319   -0.761256   \n",
       "59  -0.615848  1.369526  0.628328   -2.052693 -0.297744    3.701483   \n",
       "60   0.014152  0.158786  0.393562   -0.852026 -0.351697    0.666208   \n",
       "61  -0.586253  1.258736 -0.093664    1.266642 -0.810593   -0.184140   \n",
       "62  -0.280161 -0.687526  0.298872    0.066564  0.836017   -0.407884   \n",
       "63  -0.488207 -0.047839  0.324453   -0.090132  0.013876    0.726132   \n",
       "64  -0.315968 -0.035206 -0.243940   -0.163057  0.449264    0.647210   \n",
       "65  -0.582795 -0.280908  0.346782   -0.054789  0.177622    1.913528   \n",
       "66  -0.253495 -0.033457 -0.205894    0.545996  0.851852   -0.614713   \n",
       "67  -0.523663  0.074107 -0.004332   -0.473058 -0.260477    1.354322   \n",
       "\n",
       "    W_Tuesday  W_Wednesday  N_Shopper  N_per_shopper  \n",
       "0    1.231997     0.252392  -0.622662       0.650151  \n",
       "1   -0.044772    -0.274299  -0.559448      -0.455714  \n",
       "2   -0.256049    -0.009586  -0.279228      -0.102562  \n",
       "3    0.567252    -0.189171  -0.159231       0.697073  \n",
       "4   -0.053527    -0.061919  -0.336147       0.219787  \n",
       "5    0.034017    -0.080940   0.367346      -0.077549  \n",
       "6   -0.095326     0.050382  -0.491788      -0.002819  \n",
       "7   -0.743227    -0.207199  -0.581751      -0.213709  \n",
       "8   -0.328390    -0.267730  -0.383353      -0.453618  \n",
       "9   -0.233762    -0.355950  -0.510328      -0.932379  \n",
       "10   0.278171    -0.258097  -0.634498      -1.053384  \n",
       "11   0.451336    -0.087897   0.021380       0.906598  \n",
       "12  -0.636082     0.075821  -0.054559       0.623294  \n",
       "13   0.474031    -0.155475   0.393275       0.646370  \n",
       "14  -0.848955     2.019275  -0.647222       0.613149  \n",
       "15   0.282269    -0.359066  -0.129676       0.200625  \n",
       "16   0.232021    -0.238248   2.348251       0.670758  \n",
       "17   0.045693    -0.212180   4.025197       0.748369  \n",
       "18   0.319176    -0.057346  -0.431379      -1.497767  \n",
       "19  -0.345413    -0.035988  -0.304062       0.475367  \n",
       "20   0.733974     0.096783   0.083978      -1.025708  \n",
       "21  -0.060513    -0.122022   0.793971       0.931982  \n",
       "22  -0.544508     0.100749  -0.616984       0.183655  \n",
       "23  -0.044582    -0.148695  -0.340663      -0.394399  \n",
       "24   0.180110    -0.203508   4.166812       1.243211  \n",
       "25   0.084193    -0.087973  -0.313503      -0.151964  \n",
       "26  -3.874398     6.984323  -0.649480      -5.525249  \n",
       "27   0.225354     0.072588  -0.364539       0.220937  \n",
       "28   0.345211    -0.214176  -0.215261       0.641913  \n",
       "29  -0.006753    -0.094215  -0.451697       2.686424  \n",
       "..        ...          ...        ...            ...  \n",
       "38   2.084808     1.401613  -0.644349      -0.154150  \n",
       "39  -0.444529    -0.221149  -0.289148       0.452379  \n",
       "40  -0.501041    -0.271474  -0.385473       0.779288  \n",
       "41  -0.146200    -0.442031  -0.001265       0.642135  \n",
       "42  -0.987602    -0.629048  -0.513269      -0.650027  \n",
       "43   0.156645    -0.207157   0.188445      -0.399686  \n",
       "44   0.302742    -0.538243  -0.626493      -0.726220  \n",
       "45   0.654414     0.182419  -0.199595       0.791385  \n",
       "46   1.490233     0.207648  -0.610006       0.059209  \n",
       "47   4.430739     1.496638  -0.643802      -0.027772  \n",
       "48  -2.657265    -2.161818  -0.647633      -0.154150  \n",
       "49  -0.693578     0.635199  -0.531946       0.345487  \n",
       "50  -0.186518    -0.141643   2.221618       0.210586  \n",
       "51  -0.019626    -0.304667   0.018165       1.403639  \n",
       "52   0.267748     0.045249   0.944822       0.379134  \n",
       "53   1.573539     0.843074  -0.449713      -0.345319  \n",
       "54  -1.095930    -0.988552  -0.602685      -0.616096  \n",
       "55   1.441030    -0.180928  -0.609185      -0.990260  \n",
       "56  -0.053044    -0.385535  -0.030340       0.836762  \n",
       "57   0.141079    -0.226483   2.847326       0.024273  \n",
       "58  -0.166670    -0.145196  -0.518058       0.625120  \n",
       "59  -0.223001    -0.900282  -0.647633      -0.524571  \n",
       "60   0.750753     0.027403   0.043204       0.190593  \n",
       "61  -1.597183    -0.180857  -0.619926       1.058678  \n",
       "62  -0.083707    -0.335289  -0.232365      -0.457095  \n",
       "63  -0.353628    -0.252523  -0.487067      -0.540707  \n",
       "64  -0.523037    -0.169696  -0.301599      -0.093967  \n",
       "65  -0.919314    -0.566561  -0.590782      -1.834180  \n",
       "66  -0.874716    -0.406574  -0.231817      -0.063562  \n",
       "67   0.123926    -0.099359  -0.519769      -0.997452  \n",
       "\n",
       "[68 rows x 10 columns]"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table3_scaled = scaler.fit_transform(table3)\n",
    "table3_scaled = pd.DataFrame(table3_scaled)\n",
    "table3_scaled.columns = table3.columns\n",
    "table3_scaled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca.fit(table3_scaled)\n",
    "table3_scaled_pca = pca.fit_transform(table3_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PC1</th>\n",
       "      <th>PC2</th>\n",
       "      <th>PC3</th>\n",
       "      <th>PC4</th>\n",
       "      <th>PC5</th>\n",
       "      <th>PC6</th>\n",
       "      <th>PC7</th>\n",
       "      <th>PC8</th>\n",
       "      <th>PC9</th>\n",
       "      <th>PC10</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ScanCount</th>\n",
       "      <td>-0.177740</td>\n",
       "      <td>0.562526</td>\n",
       "      <td>0.204986</td>\n",
       "      <td>0.224156</td>\n",
       "      <td>-0.225788</td>\n",
       "      <td>0.082952</td>\n",
       "      <td>-0.017933</td>\n",
       "      <td>-0.019609</td>\n",
       "      <td>0.707913</td>\n",
       "      <td>-0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>W_Friday</th>\n",
       "      <td>-0.260362</td>\n",
       "      <td>-0.351947</td>\n",
       "      <td>0.026210</td>\n",
       "      <td>0.566143</td>\n",
       "      <td>0.028743</td>\n",
       "      <td>0.198239</td>\n",
       "      <td>-0.490352</td>\n",
       "      <td>0.298384</td>\n",
       "      <td>0.009222</td>\n",
       "      <td>-3.427128e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>W_Monday</th>\n",
       "      <td>-0.244897</td>\n",
       "      <td>0.205831</td>\n",
       "      <td>-0.023046</td>\n",
       "      <td>-0.708673</td>\n",
       "      <td>0.087115</td>\n",
       "      <td>0.051502</td>\n",
       "      <td>-0.534692</td>\n",
       "      <td>0.121667</td>\n",
       "      <td>0.017599</td>\n",
       "      <td>-2.892424e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>W_Saturday</th>\n",
       "      <td>0.476072</td>\n",
       "      <td>0.136875</td>\n",
       "      <td>-0.130092</td>\n",
       "      <td>0.114607</td>\n",
       "      <td>0.122424</td>\n",
       "      <td>0.319301</td>\n",
       "      <td>-0.172568</td>\n",
       "      <td>-0.628115</td>\n",
       "      <td>-0.007992</td>\n",
       "      <td>-4.280758e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>W_Sunday</th>\n",
       "      <td>-0.295258</td>\n",
       "      <td>0.160097</td>\n",
       "      <td>-0.603132</td>\n",
       "      <td>0.109578</td>\n",
       "      <td>0.019378</td>\n",
       "      <td>-0.425435</td>\n",
       "      <td>0.302502</td>\n",
       "      <td>-0.006794</td>\n",
       "      <td>0.002105</td>\n",
       "      <td>-4.883518e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>W_Thursday</th>\n",
       "      <td>-0.306295</td>\n",
       "      <td>-0.318494</td>\n",
       "      <td>0.066264</td>\n",
       "      <td>-0.219065</td>\n",
       "      <td>-0.603600</td>\n",
       "      <td>0.429978</td>\n",
       "      <td>0.335142</td>\n",
       "      <td>-0.183579</td>\n",
       "      <td>-0.013138</td>\n",
       "      <td>-2.386557e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>W_Tuesday</th>\n",
       "      <td>-0.222555</td>\n",
       "      <td>-0.184061</td>\n",
       "      <td>0.647458</td>\n",
       "      <td>-0.001168</td>\n",
       "      <td>0.172727</td>\n",
       "      <td>-0.493724</td>\n",
       "      <td>0.036887</td>\n",
       "      <td>-0.393192</td>\n",
       "      <td>0.006259</td>\n",
       "      <td>-2.603639e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>W_Wednesday</th>\n",
       "      <td>0.460796</td>\n",
       "      <td>0.096016</td>\n",
       "      <td>0.325486</td>\n",
       "      <td>-0.077696</td>\n",
       "      <td>0.004305</td>\n",
       "      <td>0.028210</td>\n",
       "      <td>0.317004</td>\n",
       "      <td>0.559182</td>\n",
       "      <td>-0.008662</td>\n",
       "      <td>-5.023988e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N_Shopper</th>\n",
       "      <td>-0.177790</td>\n",
       "      <td>0.561957</td>\n",
       "      <td>0.202089</td>\n",
       "      <td>0.218723</td>\n",
       "      <td>-0.246643</td>\n",
       "      <td>0.045536</td>\n",
       "      <td>-0.062791</td>\n",
       "      <td>-0.012946</td>\n",
       "      <td>-0.704911</td>\n",
       "      <td>1.491787e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>N_per_shopper</th>\n",
       "      <td>-0.373542</td>\n",
       "      <td>0.112400</td>\n",
       "      <td>0.075479</td>\n",
       "      <td>0.003175</td>\n",
       "      <td>0.685728</td>\n",
       "      <td>0.486523</td>\n",
       "      <td>0.365972</td>\n",
       "      <td>0.007191</td>\n",
       "      <td>-0.034791</td>\n",
       "      <td>1.308250e-15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    PC1       PC2       PC3       PC4       PC5       PC6  \\\n",
       "ScanCount     -0.177740  0.562526  0.204986  0.224156 -0.225788  0.082952   \n",
       "W_Friday      -0.260362 -0.351947  0.026210  0.566143  0.028743  0.198239   \n",
       "W_Monday      -0.244897  0.205831 -0.023046 -0.708673  0.087115  0.051502   \n",
       "W_Saturday     0.476072  0.136875 -0.130092  0.114607  0.122424  0.319301   \n",
       "W_Sunday      -0.295258  0.160097 -0.603132  0.109578  0.019378 -0.425435   \n",
       "W_Thursday    -0.306295 -0.318494  0.066264 -0.219065 -0.603600  0.429978   \n",
       "W_Tuesday     -0.222555 -0.184061  0.647458 -0.001168  0.172727 -0.493724   \n",
       "W_Wednesday    0.460796  0.096016  0.325486 -0.077696  0.004305  0.028210   \n",
       "N_Shopper     -0.177790  0.561957  0.202089  0.218723 -0.246643  0.045536   \n",
       "N_per_shopper -0.373542  0.112400  0.075479  0.003175  0.685728  0.486523   \n",
       "\n",
       "                    PC7       PC8       PC9          PC10  \n",
       "ScanCount     -0.017933 -0.019609  0.707913 -0.000000e+00  \n",
       "W_Friday      -0.490352  0.298384  0.009222 -3.427128e-01  \n",
       "W_Monday      -0.534692  0.121667  0.017599 -2.892424e-01  \n",
       "W_Saturday    -0.172568 -0.628115 -0.007992 -4.280758e-01  \n",
       "W_Sunday       0.302502 -0.006794  0.002105 -4.883518e-01  \n",
       "W_Thursday     0.335142 -0.183579 -0.013138 -2.386557e-01  \n",
       "W_Tuesday      0.036887 -0.393192  0.006259 -2.603639e-01  \n",
       "W_Wednesday    0.317004  0.559182 -0.008662 -5.023988e-01  \n",
       "N_Shopper     -0.062791 -0.012946 -0.704911  1.491787e-17  \n",
       "N_per_shopper  0.365972  0.007191 -0.034791  1.308250e-15  "
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(pca.components_.T,\n",
    "             index=table3_scaled.columns,\n",
    "             columns=['PC' + str(i+1) for i in range(len(pca.components_))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "scrolled": true
   },
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-1.310631</td>\n",
       "      <td>-1.420433</td>\n",
       "      <td>1.220684</td>\n",
       "      <td>-1.667236</td>\n",
       "      <td>-0.547030</td>\n",
       "      <td>0.148051</td>\n",
       "      <td>1.464443</td>\n",
       "      <td>-0.000592</td>\n",
       "      <td>-0.015324</td>\n",
       "      <td>-1.768993e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.102592</td>\n",
       "      <td>-0.287663</td>\n",
       "      <td>-0.728290</td>\n",
       "      <td>-0.909791</td>\n",
       "      <td>-0.073350</td>\n",
       "      <td>-0.626606</td>\n",
       "      <td>0.083975</td>\n",
       "      <td>-0.243148</td>\n",
       "      <td>0.029530</td>\n",
       "      <td>-6.791163e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.232221</td>\n",
       "      <td>-0.168682</td>\n",
       "      <td>-0.506527</td>\n",
       "      <td>-0.017319</td>\n",
       "      <td>0.118064</td>\n",
       "      <td>-0.176720</td>\n",
       "      <td>0.124767</td>\n",
       "      <td>0.049973</td>\n",
       "      <td>-0.012272</td>\n",
       "      <td>-8.424017e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.775267</td>\n",
       "      <td>-0.268546</td>\n",
       "      <td>0.398692</td>\n",
       "      <td>-0.417907</td>\n",
       "      <td>0.496472</td>\n",
       "      <td>0.033344</td>\n",
       "      <td>0.144087</td>\n",
       "      <td>-0.030523</td>\n",
       "      <td>0.008134</td>\n",
       "      <td>7.197065e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027098</td>\n",
       "      <td>-0.343549</td>\n",
       "      <td>-0.345716</td>\n",
       "      <td>0.046136</td>\n",
       "      <td>0.244995</td>\n",
       "      <td>-0.039838</td>\n",
       "      <td>0.399336</td>\n",
       "      <td>-0.092858</td>\n",
       "      <td>-0.010806</td>\n",
       "      <td>1.046477e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.364808</td>\n",
       "      <td>0.372822</td>\n",
       "      <td>0.176774</td>\n",
       "      <td>-0.280243</td>\n",
       "      <td>-0.251556</td>\n",
       "      <td>-0.001372</td>\n",
       "      <td>-0.267178</td>\n",
       "      <td>0.102590</td>\n",
       "      <td>-0.058331</td>\n",
       "      <td>6.745714e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-0.595593</td>\n",
       "      <td>-0.551827</td>\n",
       "      <td>-0.134666</td>\n",
       "      <td>-1.509558</td>\n",
       "      <td>-0.398724</td>\n",
       "      <td>0.057430</td>\n",
       "      <td>0.258981</td>\n",
       "      <td>0.397862</td>\n",
       "      <td>0.013804</td>\n",
       "      <td>-2.654340e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1.259567</td>\n",
       "      <td>0.491452</td>\n",
       "      <td>-1.711063</td>\n",
       "      <td>-0.166925</td>\n",
       "      <td>0.824860</td>\n",
       "      <td>-0.669519</td>\n",
       "      <td>0.263472</td>\n",
       "      <td>-0.641833</td>\n",
       "      <td>0.013509</td>\n",
       "      <td>-3.686737e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.119943</td>\n",
       "      <td>-0.256666</td>\n",
       "      <td>-0.861712</td>\n",
       "      <td>-0.881135</td>\n",
       "      <td>-0.580598</td>\n",
       "      <td>-0.336124</td>\n",
       "      <td>0.440125</td>\n",
       "      <td>-0.184893</td>\n",
       "      <td>-0.005351</td>\n",
       "      <td>-7.750591e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.021329</td>\n",
       "      <td>-1.316347</td>\n",
       "      <td>-0.367934</td>\n",
       "      <td>0.151345</td>\n",
       "      <td>-1.045774</td>\n",
       "      <td>0.106231</td>\n",
       "      <td>-0.270562</td>\n",
       "      <td>-0.001397</td>\n",
       "      <td>0.018321</td>\n",
       "      <td>-2.767663e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.185531</td>\n",
       "      <td>-1.398344</td>\n",
       "      <td>-0.213796</td>\n",
       "      <td>0.363775</td>\n",
       "      <td>-0.825052</td>\n",
       "      <td>-0.537358</td>\n",
       "      <td>0.049645</td>\n",
       "      <td>-0.193365</td>\n",
       "      <td>0.043230</td>\n",
       "      <td>7.309445e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-1.051007</td>\n",
       "      <td>-0.469749</td>\n",
       "      <td>0.608168</td>\n",
       "      <td>0.225782</td>\n",
       "      <td>0.260146</td>\n",
       "      <td>0.446992</td>\n",
       "      <td>0.335505</td>\n",
       "      <td>0.252301</td>\n",
       "      <td>0.008008</td>\n",
       "      <td>9.536140e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.216171</td>\n",
       "      <td>-0.340192</td>\n",
       "      <td>-0.032830</td>\n",
       "      <td>0.830440</td>\n",
       "      <td>0.314187</td>\n",
       "      <td>1.216831</td>\n",
       "      <td>-0.184045</td>\n",
       "      <td>0.190610</td>\n",
       "      <td>-0.018497</td>\n",
       "      <td>1.015428e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-0.882338</td>\n",
       "      <td>0.968183</td>\n",
       "      <td>0.131320</td>\n",
       "      <td>-0.524924</td>\n",
       "      <td>0.709833</td>\n",
       "      <td>-0.612727</td>\n",
       "      <td>0.029151</td>\n",
       "      <td>0.142635</td>\n",
       "      <td>0.018080</td>\n",
       "      <td>8.654822e-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3.117180</td>\n",
       "      <td>1.698638</td>\n",
       "      <td>0.605290</td>\n",
       "      <td>-3.994950</td>\n",
       "      <td>1.482266</td>\n",
       "      <td>1.151256</td>\n",
       "      <td>-0.060327</td>\n",
       "      <td>-0.192205</td>\n",
       "      <td>-0.015288</td>\n",
       "      <td>5.148262e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.454784</td>\n",
       "      <td>0.010870</td>\n",
       "      <td>-0.184845</td>\n",
       "      <td>-0.307440</td>\n",
       "      <td>0.422613</td>\n",
       "      <td>-0.392262</td>\n",
       "      <td>-0.146802</td>\n",
       "      <td>-0.104581</td>\n",
       "      <td>0.000732</td>\n",
       "      <td>-1.231808e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-1.486162</td>\n",
       "      <td>3.198981</td>\n",
       "      <td>0.615235</td>\n",
       "      <td>0.431690</td>\n",
       "      <td>-0.338382</td>\n",
       "      <td>-0.212859</td>\n",
       "      <td>0.121830</td>\n",
       "      <td>-0.104536</td>\n",
       "      <td>-0.000163</td>\n",
       "      <td>-2.026996e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-2.049656</td>\n",
       "      <td>4.834140</td>\n",
       "      <td>1.385392</td>\n",
       "      <td>1.552782</td>\n",
       "      <td>-1.272985</td>\n",
       "      <td>0.464806</td>\n",
       "      <td>-0.059899</td>\n",
       "      <td>-0.090482</td>\n",
       "      <td>0.021933</td>\n",
       "      <td>-1.192016e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.330425</td>\n",
       "      <td>-0.887694</td>\n",
       "      <td>-0.039535</td>\n",
       "      <td>-0.303174</td>\n",
       "      <td>-0.937753</td>\n",
       "      <td>-0.939544</td>\n",
       "      <td>-0.465108</td>\n",
       "      <td>0.077117</td>\n",
       "      <td>0.022981</td>\n",
       "      <td>2.582929e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.738268</td>\n",
       "      <td>-0.423212</td>\n",
       "      <td>-0.034053</td>\n",
       "      <td>-1.266423</td>\n",
       "      <td>-0.248565</td>\n",
       "      <td>0.783065</td>\n",
       "      <td>0.110885</td>\n",
       "      <td>0.360066</td>\n",
       "      <td>-0.001483</td>\n",
       "      <td>-6.444543e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-0.039281</td>\n",
       "      <td>-0.541116</td>\n",
       "      <td>0.955192</td>\n",
       "      <td>-0.117293</td>\n",
       "      <td>-0.529055</td>\n",
       "      <td>-0.591573</td>\n",
       "      <td>-1.108598</td>\n",
       "      <td>0.387459</td>\n",
       "      <td>-0.064626</td>\n",
       "      <td>1.472641e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.800292</td>\n",
       "      <td>1.486606</td>\n",
       "      <td>-0.135130</td>\n",
       "      <td>0.114070</td>\n",
       "      <td>0.517332</td>\n",
       "      <td>-0.067694</td>\n",
       "      <td>0.423093</td>\n",
       "      <td>0.040608</td>\n",
       "      <td>0.033467</td>\n",
       "      <td>-2.558003e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.466193</td>\n",
       "      <td>-1.155571</td>\n",
       "      <td>-0.265081</td>\n",
       "      <td>0.455981</td>\n",
       "      <td>-0.143716</td>\n",
       "      <td>0.978655</td>\n",
       "      <td>0.350796</td>\n",
       "      <td>-0.035289</td>\n",
       "      <td>-0.015146</td>\n",
       "      <td>1.196547e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-0.043404</td>\n",
       "      <td>-0.324319</td>\n",
       "      <td>-0.616964</td>\n",
       "      <td>-0.450890</td>\n",
       "      <td>-0.435513</td>\n",
       "      <td>-0.522880</td>\n",
       "      <td>0.622531</td>\n",
       "      <td>-0.201396</td>\n",
       "      <td>-0.014258</td>\n",
       "      <td>-8.051664e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-2.319657</td>\n",
       "      <td>5.445887</td>\n",
       "      <td>1.557382</td>\n",
       "      <td>1.591540</td>\n",
       "      <td>-0.841894</td>\n",
       "      <td>0.468819</td>\n",
       "      <td>0.004538</td>\n",
       "      <td>-0.088273</td>\n",
       "      <td>0.281796</td>\n",
       "      <td>1.361569e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.031457</td>\n",
       "      <td>0.000817</td>\n",
       "      <td>-0.426462</td>\n",
       "      <td>-0.403448</td>\n",
       "      <td>0.417728</td>\n",
       "      <td>-0.703818</td>\n",
       "      <td>-0.140520</td>\n",
       "      <td>0.120875</td>\n",
       "      <td>0.008685</td>\n",
       "      <td>-6.355439e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>13.805153</td>\n",
       "      <td>2.424037</td>\n",
       "      <td>0.080286</td>\n",
       "      <td>0.745384</td>\n",
       "      <td>-1.278523</td>\n",
       "      <td>0.055048</td>\n",
       "      <td>0.541132</td>\n",
       "      <td>0.455277</td>\n",
       "      <td>0.020568</td>\n",
       "      <td>6.865145e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.091175</td>\n",
       "      <td>-0.574982</td>\n",
       "      <td>0.266909</td>\n",
       "      <td>-0.223423</td>\n",
       "      <td>0.157722</td>\n",
       "      <td>0.257328</td>\n",
       "      <td>0.184734</td>\n",
       "      <td>-0.152064</td>\n",
       "      <td>-0.009262</td>\n",
       "      <td>-6.513121e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-0.491639</td>\n",
       "      <td>-0.036306</td>\n",
       "      <td>0.067158</td>\n",
       "      <td>-0.248743</td>\n",
       "      <td>0.965211</td>\n",
       "      <td>-0.174290</td>\n",
       "      <td>-0.326064</td>\n",
       "      <td>0.141221</td>\n",
       "      <td>0.019974</td>\n",
       "      <td>8.517444e-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.629887</td>\n",
       "      <td>0.003269</td>\n",
       "      <td>-0.366045</td>\n",
       "      <td>0.695244</td>\n",
       "      <td>2.565003</td>\n",
       "      <td>0.742473</td>\n",
       "      <td>0.969631</td>\n",
       "      <td>0.052418</td>\n",
       "      <td>-0.023803</td>\n",
       "      <td>1.554681e-16</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>38</th>\n",
       "      <td>0.623377</td>\n",
       "      <td>-1.835830</td>\n",
       "      <td>2.334755</td>\n",
       "      <td>2.119474</td>\n",
       "      <td>1.366910</td>\n",
       "      <td>-1.494680</td>\n",
       "      <td>-0.320045</td>\n",
       "      <td>1.490600</td>\n",
       "      <td>0.046625</td>\n",
       "      <td>-7.847576e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>0.342928</td>\n",
       "      <td>0.019917</td>\n",
       "      <td>-0.830376</td>\n",
       "      <td>0.432009</td>\n",
       "      <td>0.686066</td>\n",
       "      <td>0.149581</td>\n",
       "      <td>0.267878</td>\n",
       "      <td>-0.303024</td>\n",
       "      <td>-0.013119</td>\n",
       "      <td>1.842213e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>0.305284</td>\n",
       "      <td>-0.766338</td>\n",
       "      <td>-0.051218</td>\n",
       "      <td>0.594166</td>\n",
       "      <td>0.527664</td>\n",
       "      <td>1.548022</td>\n",
       "      <td>-0.359225</td>\n",
       "      <td>-0.371874</td>\n",
       "      <td>-0.017205</td>\n",
       "      <td>1.020175e-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>-0.568185</td>\n",
       "      <td>0.647477</td>\n",
       "      <td>-0.712783</td>\n",
       "      <td>-0.392501</td>\n",
       "      <td>0.877615</td>\n",
       "      <td>-0.315825</td>\n",
       "      <td>-0.096592</td>\n",
       "      <td>-0.008911</td>\n",
       "      <td>0.016432</td>\n",
       "      <td>-1.015401e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>0.181725</td>\n",
       "      <td>-0.419874</td>\n",
       "      <td>-1.765446</td>\n",
       "      <td>0.395732</td>\n",
       "      <td>-0.174079</td>\n",
       "      <td>-0.370429</td>\n",
       "      <td>-0.281213</td>\n",
       "      <td>0.059847</td>\n",
       "      <td>0.025165</td>\n",
       "      <td>-1.847642e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>-0.062886</td>\n",
       "      <td>0.445391</td>\n",
       "      <td>-0.427538</td>\n",
       "      <td>0.083115</td>\n",
       "      <td>0.025593</td>\n",
       "      <td>-0.940887</td>\n",
       "      <td>-0.006901</td>\n",
       "      <td>-0.084473</td>\n",
       "      <td>-0.060753</td>\n",
       "      <td>-1.244603e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>-0.287352</td>\n",
       "      <td>-0.240990</td>\n",
       "      <td>-0.593083</td>\n",
       "      <td>-2.009624</td>\n",
       "      <td>-0.346152</td>\n",
       "      <td>-0.924668</td>\n",
       "      <td>-0.171005</td>\n",
       "      <td>-0.471192</td>\n",
       "      <td>0.060798</td>\n",
       "      <td>5.480921e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>-0.675964</td>\n",
       "      <td>-0.135787</td>\n",
       "      <td>0.637087</td>\n",
       "      <td>-0.833110</td>\n",
       "      <td>0.631063</td>\n",
       "      <td>-0.081509</td>\n",
       "      <td>0.312237</td>\n",
       "      <td>0.242401</td>\n",
       "      <td>0.011197</td>\n",
       "      <td>-8.622149e-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>1.483281</td>\n",
       "      <td>-1.135844</td>\n",
       "      <td>1.874494</td>\n",
       "      <td>0.834963</td>\n",
       "      <td>1.478926</td>\n",
       "      <td>0.257872</td>\n",
       "      <td>-1.464372</td>\n",
       "      <td>-0.824824</td>\n",
       "      <td>0.027011</td>\n",
       "      <td>-1.938004e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>0.878393</td>\n",
       "      <td>-3.875724</td>\n",
       "      <td>5.484802</td>\n",
       "      <td>2.796009</td>\n",
       "      <td>-0.019818</td>\n",
       "      <td>-0.073659</td>\n",
       "      <td>1.002401</td>\n",
       "      <td>-0.750830</td>\n",
       "      <td>-0.031318</td>\n",
       "      <td>-4.172945e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>-0.936529</td>\n",
       "      <td>-1.663179</td>\n",
       "      <td>-4.731218</td>\n",
       "      <td>4.848760</td>\n",
       "      <td>-0.249249</td>\n",
       "      <td>-0.057158</td>\n",
       "      <td>0.605056</td>\n",
       "      <td>0.280752</td>\n",
       "      <td>0.001647</td>\n",
       "      <td>1.300271e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.271911</td>\n",
       "      <td>-0.458400</td>\n",
       "      <td>-0.090007</td>\n",
       "      <td>-0.366584</td>\n",
       "      <td>0.625689</td>\n",
       "      <td>0.523132</td>\n",
       "      <td>-0.506528</td>\n",
       "      <td>1.248268</td>\n",
       "      <td>0.018126</td>\n",
       "      <td>-6.458659e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>-1.038418</td>\n",
       "      <td>2.671742</td>\n",
       "      <td>0.435207</td>\n",
       "      <td>0.691552</td>\n",
       "      <td>-0.747231</td>\n",
       "      <td>0.093754</td>\n",
       "      <td>-0.140076</td>\n",
       "      <td>0.064652</td>\n",
       "      <td>-0.141662</td>\n",
       "      <td>3.429637e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>-0.449519</td>\n",
       "      <td>0.318381</td>\n",
       "      <td>-0.075635</td>\n",
       "      <td>0.123033</td>\n",
       "      <td>1.022091</td>\n",
       "      <td>0.754883</td>\n",
       "      <td>0.385294</td>\n",
       "      <td>-0.431990</td>\n",
       "      <td>0.022668</td>\n",
       "      <td>-1.109830e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>-0.791043</td>\n",
       "      <td>1.034529</td>\n",
       "      <td>0.649812</td>\n",
       "      <td>0.062555</td>\n",
       "      <td>-0.188838</td>\n",
       "      <td>0.078363</td>\n",
       "      <td>0.018351</td>\n",
       "      <td>0.172011</td>\n",
       "      <td>-0.044056</td>\n",
       "      <td>-2.025437e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>-0.116456</td>\n",
       "      <td>-1.528664</td>\n",
       "      <td>2.384512</td>\n",
       "      <td>-1.109339</td>\n",
       "      <td>-0.625696</td>\n",
       "      <td>0.079696</td>\n",
       "      <td>-0.014516</td>\n",
       "      <td>0.333178</td>\n",
       "      <td>0.007336</td>\n",
       "      <td>3.051784e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>0.146324</td>\n",
       "      <td>-1.411184</td>\n",
       "      <td>-1.199347</td>\n",
       "      <td>0.859254</td>\n",
       "      <td>-0.719977</td>\n",
       "      <td>1.066977</td>\n",
       "      <td>-0.920828</td>\n",
       "      <td>-0.354491</td>\n",
       "      <td>0.025226</td>\n",
       "      <td>-8.301688e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>0.649618</td>\n",
       "      <td>-1.648323</td>\n",
       "      <td>1.128983</td>\n",
       "      <td>0.815262</td>\n",
       "      <td>-0.156297</td>\n",
       "      <td>-0.634661</td>\n",
       "      <td>-0.621140</td>\n",
       "      <td>-0.733672</td>\n",
       "      <td>0.045429</td>\n",
       "      <td>7.197754e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>-0.699281</td>\n",
       "      <td>0.683916</td>\n",
       "      <td>-0.641566</td>\n",
       "      <td>-0.538237</td>\n",
       "      <td>1.031414</td>\n",
       "      <td>-0.353456</td>\n",
       "      <td>0.038222</td>\n",
       "      <td>0.056621</td>\n",
       "      <td>0.025534</td>\n",
       "      <td>-1.183706e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>-1.388146</td>\n",
       "      <td>3.446867</td>\n",
       "      <td>0.677336</td>\n",
       "      <td>0.575928</td>\n",
       "      <td>-0.971182</td>\n",
       "      <td>-0.402934</td>\n",
       "      <td>-0.220424</td>\n",
       "      <td>-0.018083</td>\n",
       "      <td>-0.234676</td>\n",
       "      <td>4.564562e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>-0.224415</td>\n",
       "      <td>-0.036951</td>\n",
       "      <td>-0.885288</td>\n",
       "      <td>-0.160497</td>\n",
       "      <td>1.086200</td>\n",
       "      <td>-0.513176</td>\n",
       "      <td>0.317360</td>\n",
       "      <td>0.262422</td>\n",
       "      <td>0.012178</td>\n",
       "      <td>2.503866e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>-2.478178</td>\n",
       "      <td>-2.674933</td>\n",
       "      <td>-0.020819</td>\n",
       "      <td>-0.959831</td>\n",
       "      <td>-2.500503</td>\n",
       "      <td>1.115568</td>\n",
       "      <td>0.063282</td>\n",
       "      <td>0.697874</td>\n",
       "      <td>0.036046</td>\n",
       "      <td>-4.418231e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>-0.879412</td>\n",
       "      <td>-0.441878</td>\n",
       "      <td>0.883216</td>\n",
       "      <td>-0.460919</td>\n",
       "      <td>-0.227761</td>\n",
       "      <td>-0.058250</td>\n",
       "      <td>0.078787</td>\n",
       "      <td>0.231188</td>\n",
       "      <td>-0.016899</td>\n",
       "      <td>2.100179e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>0.685039</td>\n",
       "      <td>-0.642585</td>\n",
       "      <td>-0.911458</td>\n",
       "      <td>0.627957</td>\n",
       "      <td>1.013107</td>\n",
       "      <td>2.136505</td>\n",
       "      <td>-0.772005</td>\n",
       "      <td>0.161907</td>\n",
       "      <td>-0.022737</td>\n",
       "      <td>-8.333198e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>0.141574</td>\n",
       "      <td>0.220014</td>\n",
       "      <td>-0.867040</td>\n",
       "      <td>-0.501376</td>\n",
       "      <td>0.068047</td>\n",
       "      <td>-0.855039</td>\n",
       "      <td>0.024992</td>\n",
       "      <td>-0.290755</td>\n",
       "      <td>-0.010743</td>\n",
       "      <td>-1.016576e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>0.001266</td>\n",
       "      <td>-0.726037</td>\n",
       "      <td>-0.507728</td>\n",
       "      <td>-0.622545</td>\n",
       "      <td>-0.624751</td>\n",
       "      <td>0.126493</td>\n",
       "      <td>-0.138556</td>\n",
       "      <td>-0.041755</td>\n",
       "      <td>0.012995</td>\n",
       "      <td>2.894503e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>-0.156516</td>\n",
       "      <td>-0.472155</td>\n",
       "      <td>-0.728857</td>\n",
       "      <td>-0.081593</td>\n",
       "      <td>-0.433954</td>\n",
       "      <td>0.183335</td>\n",
       "      <td>0.445771</td>\n",
       "      <td>0.060555</td>\n",
       "      <td>-0.020484</td>\n",
       "      <td>1.557647e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>0.160871</td>\n",
       "      <td>-1.169449</td>\n",
       "      <td>-1.145480</td>\n",
       "      <td>-1.031375</td>\n",
       "      <td>-2.277811</td>\n",
       "      <td>0.162176</td>\n",
       "      <td>-0.180415</td>\n",
       "      <td>-0.309162</td>\n",
       "      <td>0.046032</td>\n",
       "      <td>1.387427e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>0.373173</td>\n",
       "      <td>0.218241</td>\n",
       "      <td>-1.423958</td>\n",
       "      <td>0.342433</td>\n",
       "      <td>0.353482</td>\n",
       "      <td>-0.111729</td>\n",
       "      <td>-0.081366</td>\n",
       "      <td>-0.146823</td>\n",
       "      <td>-0.014210</td>\n",
       "      <td>-9.681474e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>-0.096647</td>\n",
       "      <td>-1.295894</td>\n",
       "      <td>0.070656</td>\n",
       "      <td>-0.561076</td>\n",
       "      <td>-1.295246</td>\n",
       "      <td>-0.059814</td>\n",
       "      <td>0.072769</td>\n",
       "      <td>-0.022598</td>\n",
       "      <td>0.018068</td>\n",
       "      <td>-1.166533e-16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            0         1         2         3         4         5         6  \\\n",
       "0   -1.310631 -1.420433  1.220684 -1.667236 -0.547030  0.148051  1.464443   \n",
       "1    0.102592 -0.287663 -0.728290 -0.909791 -0.073350 -0.626606  0.083975   \n",
       "2    0.232221 -0.168682 -0.506527 -0.017319  0.118064 -0.176720  0.124767   \n",
       "3   -0.775267 -0.268546  0.398692 -0.417907  0.496472  0.033344  0.144087   \n",
       "4    0.027098 -0.343549 -0.345716  0.046136  0.244995 -0.039838  0.399336   \n",
       "5   -0.364808  0.372822  0.176774 -0.280243 -0.251556 -0.001372 -0.267178   \n",
       "6   -0.595593 -0.551827 -0.134666 -1.509558 -0.398724  0.057430  0.258981   \n",
       "7    1.259567  0.491452 -1.711063 -0.166925  0.824860 -0.669519  0.263472   \n",
       "8   -0.119943 -0.256666 -0.861712 -0.881135 -0.580598 -0.336124  0.440125   \n",
       "9   -0.021329 -1.316347 -0.367934  0.151345 -1.045774  0.106231 -0.270562   \n",
       "10   0.185531 -1.398344 -0.213796  0.363775 -0.825052 -0.537358  0.049645   \n",
       "11  -1.051007 -0.469749  0.608168  0.225782  0.260146  0.446992  0.335505   \n",
       "12   0.216171 -0.340192 -0.032830  0.830440  0.314187  1.216831 -0.184045   \n",
       "13  -0.882338  0.968183  0.131320 -0.524924  0.709833 -0.612727  0.029151   \n",
       "14   3.117180  1.698638  0.605290 -3.994950  1.482266  1.151256 -0.060327   \n",
       "15  -0.454784  0.010870 -0.184845 -0.307440  0.422613 -0.392262 -0.146802   \n",
       "16  -1.486162  3.198981  0.615235  0.431690 -0.338382 -0.212859  0.121830   \n",
       "17  -2.049656  4.834140  1.385392  1.552782 -1.272985  0.464806 -0.059899   \n",
       "18   0.330425 -0.887694 -0.039535 -0.303174 -0.937753 -0.939544 -0.465108   \n",
       "19  -0.738268 -0.423212 -0.034053 -1.266423 -0.248565  0.783065  0.110885   \n",
       "20  -0.039281 -0.541116  0.955192 -0.117293 -0.529055 -0.591573 -1.108598   \n",
       "21  -0.800292  1.486606 -0.135130  0.114070  0.517332 -0.067694  0.423093   \n",
       "22   0.466193 -1.155571 -0.265081  0.455981 -0.143716  0.978655  0.350796   \n",
       "23  -0.043404 -0.324319 -0.616964 -0.450890 -0.435513 -0.522880  0.622531   \n",
       "24  -2.319657  5.445887  1.557382  1.591540 -0.841894  0.468819  0.004538   \n",
       "25   0.031457  0.000817 -0.426462 -0.403448  0.417728 -0.703818 -0.140520   \n",
       "26  13.805153  2.424037  0.080286  0.745384 -1.278523  0.055048  0.541132   \n",
       "27   0.091175 -0.574982  0.266909 -0.223423  0.157722  0.257328  0.184734   \n",
       "28  -0.491639 -0.036306  0.067158 -0.248743  0.965211 -0.174290 -0.326064   \n",
       "29  -0.629887  0.003269 -0.366045  0.695244  2.565003  0.742473  0.969631   \n",
       "..        ...       ...       ...       ...       ...       ...       ...   \n",
       "38   0.623377 -1.835830  2.334755  2.119474  1.366910 -1.494680 -0.320045   \n",
       "39   0.342928  0.019917 -0.830376  0.432009  0.686066  0.149581  0.267878   \n",
       "40   0.305284 -0.766338 -0.051218  0.594166  0.527664  1.548022 -0.359225   \n",
       "41  -0.568185  0.647477 -0.712783 -0.392501  0.877615 -0.315825 -0.096592   \n",
       "42   0.181725 -0.419874 -1.765446  0.395732 -0.174079 -0.370429 -0.281213   \n",
       "43  -0.062886  0.445391 -0.427538  0.083115  0.025593 -0.940887 -0.006901   \n",
       "44  -0.287352 -0.240990 -0.593083 -2.009624 -0.346152 -0.924668 -0.171005   \n",
       "45  -0.675964 -0.135787  0.637087 -0.833110  0.631063 -0.081509  0.312237   \n",
       "46   1.483281 -1.135844  1.874494  0.834963  1.478926  0.257872 -1.464372   \n",
       "47   0.878393 -3.875724  5.484802  2.796009 -0.019818 -0.073659  1.002401   \n",
       "48  -0.936529 -1.663179 -4.731218  4.848760 -0.249249 -0.057158  0.605056   \n",
       "49   0.271911 -0.458400 -0.090007 -0.366584  0.625689  0.523132 -0.506528   \n",
       "50  -1.038418  2.671742  0.435207  0.691552 -0.747231  0.093754 -0.140076   \n",
       "51  -0.449519  0.318381 -0.075635  0.123033  1.022091  0.754883  0.385294   \n",
       "52  -0.791043  1.034529  0.649812  0.062555 -0.188838  0.078363  0.018351   \n",
       "53  -0.116456 -1.528664  2.384512 -1.109339 -0.625696  0.079696 -0.014516   \n",
       "54   0.146324 -1.411184 -1.199347  0.859254 -0.719977  1.066977 -0.920828   \n",
       "55   0.649618 -1.648323  1.128983  0.815262 -0.156297 -0.634661 -0.621140   \n",
       "56  -0.699281  0.683916 -0.641566 -0.538237  1.031414 -0.353456  0.038222   \n",
       "57  -1.388146  3.446867  0.677336  0.575928 -0.971182 -0.402934 -0.220424   \n",
       "58  -0.224415 -0.036951 -0.885288 -0.160497  1.086200 -0.513176  0.317360   \n",
       "59  -2.478178 -2.674933 -0.020819 -0.959831 -2.500503  1.115568  0.063282   \n",
       "60  -0.879412 -0.441878  0.883216 -0.460919 -0.227761 -0.058250  0.078787   \n",
       "61   0.685039 -0.642585 -0.911458  0.627957  1.013107  2.136505 -0.772005   \n",
       "62   0.141574  0.220014 -0.867040 -0.501376  0.068047 -0.855039  0.024992   \n",
       "63   0.001266 -0.726037 -0.507728 -0.622545 -0.624751  0.126493 -0.138556   \n",
       "64  -0.156516 -0.472155 -0.728857 -0.081593 -0.433954  0.183335  0.445771   \n",
       "65   0.160871 -1.169449 -1.145480 -1.031375 -2.277811  0.162176 -0.180415   \n",
       "66   0.373173  0.218241 -1.423958  0.342433  0.353482 -0.111729 -0.081366   \n",
       "67  -0.096647 -1.295894  0.070656 -0.561076 -1.295246 -0.059814  0.072769   \n",
       "\n",
       "           7         8             9  \n",
       "0  -0.000592 -0.015324 -1.768993e-16  \n",
       "1  -0.243148  0.029530 -6.791163e-16  \n",
       "2   0.049973 -0.012272 -8.424017e-16  \n",
       "3  -0.030523  0.008134  7.197065e-16  \n",
       "4  -0.092858 -0.010806  1.046477e-15  \n",
       "5   0.102590 -0.058331  6.745714e-16  \n",
       "6   0.397862  0.013804 -2.654340e-16  \n",
       "7  -0.641833  0.013509 -3.686737e-16  \n",
       "8  -0.184893 -0.005351 -7.750591e-17  \n",
       "9  -0.001397  0.018321 -2.767663e-16  \n",
       "10 -0.193365  0.043230  7.309445e-17  \n",
       "11  0.252301  0.008008  9.536140e-17  \n",
       "12  0.190610 -0.018497  1.015428e-16  \n",
       "13  0.142635  0.018080  8.654822e-18  \n",
       "14 -0.192205 -0.015288  5.148262e-17  \n",
       "15 -0.104581  0.000732 -1.231808e-16  \n",
       "16 -0.104536 -0.000163 -2.026996e-17  \n",
       "17 -0.090482  0.021933 -1.192016e-16  \n",
       "18  0.077117  0.022981  2.582929e-16  \n",
       "19  0.360066 -0.001483 -6.444543e-17  \n",
       "20  0.387459 -0.064626  1.472641e-17  \n",
       "21  0.040608  0.033467 -2.558003e-16  \n",
       "22 -0.035289 -0.015146  1.196547e-17  \n",
       "23 -0.201396 -0.014258 -8.051664e-17  \n",
       "24 -0.088273  0.281796  1.361569e-16  \n",
       "25  0.120875  0.008685 -6.355439e-17  \n",
       "26  0.455277  0.020568  6.865145e-17  \n",
       "27 -0.152064 -0.009262 -6.513121e-17  \n",
       "28  0.141221  0.019974  8.517444e-18  \n",
       "29  0.052418 -0.023803  1.554681e-16  \n",
       "..       ...       ...           ...  \n",
       "38  1.490600  0.046625 -7.847576e-17  \n",
       "39 -0.303024 -0.013119  1.842213e-16  \n",
       "40 -0.371874 -0.017205  1.020175e-19  \n",
       "41 -0.008911  0.016432 -1.015401e-16  \n",
       "42  0.059847  0.025165 -1.847642e-16  \n",
       "43 -0.084473 -0.060753 -1.244603e-16  \n",
       "44 -0.471192  0.060798  5.480921e-16  \n",
       "45  0.242401  0.011197 -8.622149e-18  \n",
       "46 -0.824824  0.027011 -1.938004e-16  \n",
       "47 -0.750830 -0.031318 -4.172945e-17  \n",
       "48  0.280752  0.001647  1.300271e-16  \n",
       "49  1.248268  0.018126 -6.458659e-17  \n",
       "50  0.064652 -0.141662  3.429637e-17  \n",
       "51 -0.431990  0.022668 -1.109830e-16  \n",
       "52  0.172011 -0.044056 -2.025437e-16  \n",
       "53  0.333178  0.007336  3.051784e-17  \n",
       "54 -0.354491  0.025226 -8.301688e-17  \n",
       "55 -0.733672  0.045429  7.197754e-17  \n",
       "56  0.056621  0.025534 -1.183706e-16  \n",
       "57 -0.018083 -0.234676  4.564562e-17  \n",
       "58  0.262422  0.012178  2.503866e-16  \n",
       "59  0.697874  0.036046 -4.418231e-17  \n",
       "60  0.231188 -0.016899  2.100179e-17  \n",
       "61  0.161907 -0.022737 -8.333198e-17  \n",
       "62 -0.290755 -0.010743 -1.016576e-16  \n",
       "63 -0.041755  0.012995  2.894503e-16  \n",
       "64  0.060555 -0.020484  1.557647e-16  \n",
       "65 -0.309162  0.046032  1.387427e-16  \n",
       "66 -0.146823 -0.014210 -9.681474e-17  \n",
       "67 -0.022598  0.018068 -1.166533e-16  \n",
       "\n",
       "[68 rows x 10 columns]"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(table3_scaled_pca)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3.54403850e-01 2.28547668e-01 1.44705090e-01 1.23565574e-01\n",
      " 7.36633730e-02 3.95406373e-02 2.11820703e-02 1.40834249e-02\n",
      " 3.08312004e-04 6.99605395e-33]\n"
     ]
    }
   ],
   "source": [
    "explained_variance = pca.explained_variance_ratio_\n",
    "print(explained_variance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x23f8d3a0b00>]"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('Scree Plot', size=16)   \n",
    "plt.plot(explained_variance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 35.44  58.29  72.76  85.12  92.49  96.44  98.56  99.97 100.   100.  ]\n"
     ]
    }
   ],
   "source": [
    "cum_exp_var =np.cumsum(np.round(pca.explained_variance_ratio_, decimals=4)*100)\n",
    "print(cum_exp_var)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x23fe78a6f98>]"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('Cummulative Scree Plot', size=16)   \n",
    "plt.plot(cum_exp_var)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pc1n2 = e_vectors[:,:2]\n",
    "pc1n2\n",
    "\n",
    "Projected_X_2D = pc1n2.T.dot(X.T)\n",
    "pd.DataFrame(Projected_X_2D.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x72 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "\n",
    "import seaborn as sns\n",
    "color_p = sns.color_palette(\"husl\", 6)\n",
    "sns.palplot(color_p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "kmeans_6 = KMeans(n_clusters=6, random_state=42, n_init=20)\n",
    "kmeans_6.fit(table3_scaled)\n",
    "k_6 = kmeans_6.labels_\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.title('K-Means Clustering with K=4', size=16)\n",
    "plt.xlabel('1st Principal Component')\n",
    "plt.ylabel('2nd Principal Component')\n",
    "m = 0.5\n",
    "plt.xlim(min(pc1) - m, max(pc1) + m)\n",
    "plt.ylim(min(pc2) - m, max(pc2) + m)\n",
    "for i in range(len(pc1)):\n",
    "    plt.text(pc1[i], pc2[i], usarrests.index[i], color=color_p[k_4[i]], alpha=0.8)"
   ]
  }
 ],
 "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}