DataCup_returns.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Steps to perform:\n",
    "### 1.  Create RFM analysis:\n",
    "### ### A) Create Cohort_Analysis\n",
    "### ### ### ### Cohort_Month(funkcja + kolumna (1 dzien miesiaca))              done\n",
    "### ### ### ### Cohort_Index (od 1 kohorty do ostatniej)                        done\n",
    "### ### ### ### Cohort HeatMap                               started _ to be fixed (kolory, etykiety + przemysl 2 spojrzenia)\n",
    "### ### B) Calculate RFM values                                                done (check if adjust to last 6M,12M,3M)\n",
    "\n",
    "### ### C) Assign RFM classes as per values (from finger or Clustering)\n",
    "### 2.  Analyze data as per 'returnQuantity'\n",
    "#  \n",
    "#\n",
    "#\n",
    "#\n",
    "#\n",
    "#\n",
    "### 3.  Perform Feature Engineering\n",
    "### ### A) RETURN two strategies: (1: if return 2: how big return) vs (poisson / other rozklad)\n",
    "### ### B) Analyses to be created:\n",
    "### ### ### ### 1. Customer analyzes (how many categories per purchase, how many in total,\n",
    "### ### ### ### ### ### ### ### spend% per category, how often vouchers (out of all visits)\n",
    "### ### ### ### ### ### ### ### vouchered_amount / total_spend, how many products per purchase, how many items per basket.\n",
    "### ### ### ### 2. Basket analyzes (how many categories in basket, how many items in one category)\n",
    "### ### ### ### ### ### ### ###\n",
    "### ### ### ### 3. Products mixes (calculating substitutity/complementary): co z czym się kupuje....\n",
    "### ### ### ### ### ### ### ###\n",
    "## Questions to answer:\n",
    "#### If buying more the same items but in different sizes/color (to match size)\n",
    "#### If buying more the same category in basket: increase prob or return\n",
    "### ### C) Possible variabales in Feat. Eng.:\n",
    "### ### ### ### Discount Perctg (price / recom)\n",
    "### ### ### ### If this purchase has 1 or few categories\n",
    "### ### ### ### If this customer buys 1 or few categories\n",
    "### ### ### ### If any products mix available( with top prob of return)\n",
    "### 4.  Modeling:\n",
    "### ### A) Creating basic model: very very basic (random or linear regression with basic variables (ininital dataset))\n",
    "### ### B) Adding new features to model (FE, etc, one-hot-encoding)\n",
    "### ### C) LR, DTr, RF, etc, Deep Learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime as dt\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv('orders_train.txt', sep=';')\n",
    "train['orderDate'] = pd.to_datetime(train['orderDate'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "738698 \t\t orderID\n",
      "3823 \t\t articleID\n",
      "670 \t\t voucherID\n",
      "311369 \t\t customerID\n"
     ]
    }
   ],
   "source": [
    "imp_col = ['orderID', 'articleID','voucherID','customerID']\n",
    "for each in imp_col:\n",
    "    print(train[each].nunique(),\"\\t\\t\",each)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "train['spend'] = train['quantity'] * train['price']\n",
    "train['rrp_spend'] = train['quantity'] * train['rrp']\n",
    "train['return_spend'] = train['returnQuantity'] * train['spend']\n",
    "train['price_decrease'] = train['price'] / train['rrp'] -1\n",
    "train['returny'] = np.where(train['returnQuantity']==0, 'not returned', 'returned')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>productGroup</th>\n",
       "      <th>1.0</th>\n",
       "      <th>2.0</th>\n",
       "      <th>3.0</th>\n",
       "      <th>4.0</th>\n",
       "      <th>5.0</th>\n",
       "      <th>6.0</th>\n",
       "      <th>7.0</th>\n",
       "      <th>8.0</th>\n",
       "      <th>9.0</th>\n",
       "      <th>13.0</th>\n",
       "      <th>14.0</th>\n",
       "      <th>15.0</th>\n",
       "      <th>17.0</th>\n",
       "      <th>26.0</th>\n",
       "      <th>43.0</th>\n",
       "      <th>45.0</th>\n",
       "      <th>50.0</th>\n",
       "      <th>90.0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>returny</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",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>not returned</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.62</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>returned</td>\n",
       "      <td>0.59</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.62</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.68</td>\n",
       "      <td>0.62</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.62</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "productGroup  1.0   2.0   3.0   4.0   5.0   6.0   7.0   8.0   9.0   13.0  \\\n",
       "returny                                                                    \n",
       "not returned  0.41  0.42  0.54  0.49  0.46  0.49  0.38  0.42   0.4  0.32   \n",
       "returned      0.59  0.58  0.46  0.51  0.54  0.51  0.62  0.58   0.6  0.68   \n",
       "\n",
       "productGroup  14.0  15.0  17.0  26.0  43.0  45.0  50.0  90.0  \n",
       "returny                                                       \n",
       "not returned  0.38  0.47  0.62   1.0  0.86   0.9  0.38  0.81  \n",
       "returned      0.62  0.53  0.38   0.0  0.14   0.1  0.62  0.19  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(train.productGroup, train.returny, normalize = 'index').round(2).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>paymentMethod</th>\n",
       "      <th>BPLS</th>\n",
       "      <th>BPPL</th>\n",
       "      <th>BPRG</th>\n",
       "      <th>CBA</th>\n",
       "      <th>KGRG</th>\n",
       "      <th>KKE</th>\n",
       "      <th>NN</th>\n",
       "      <th>PAYPALVC</th>\n",
       "      <th>RG</th>\n",
       "      <th>VORAUS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>returny</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",
       "      <td>not returned</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.59</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.61</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>returned</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "paymentMethod  BPLS  BPPL  BPRG   CBA  KGRG   KKE    NN  PAYPALVC   RG  VORAUS\n",
       "returny                                                                       \n",
       "not returned   0.63  0.59  0.44  0.63  0.71  0.55  0.66      0.61  1.0    0.63\n",
       "returned       0.37  0.41  0.56  0.37  0.29  0.45  0.34      0.39  0.0    0.37"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(train.paymentMethod, train.returny, normalize = 'index').round(2).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>deviceID</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>returny</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",
       "      <td>not returned</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>returned</td>\n",
       "      <td>0.64</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "deviceID         1     2     3     4     5\n",
       "returny                                   \n",
       "not returned  0.36  0.48  0.49  0.46  0.47\n",
       "returned      0.64  0.52  0.51  0.54  0.53"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(train.deviceID, train.returny, normalize = 'index').round(2).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>colorCode</th>\n",
       "      <th>returned</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1000</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1001</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1002</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1003</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1004</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>541</td>\n",
       "      <td>7204</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>542</td>\n",
       "      <td>7205</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>543</td>\n",
       "      <td>7215</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>544</td>\n",
       "      <td>7216</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>545</td>\n",
       "      <td>8888</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>546 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     colorCode  returned\n",
       "0         1000     False\n",
       "1         1001     False\n",
       "2         1002     False\n",
       "3         1003     False\n",
       "4         1004     False\n",
       "..         ...       ...\n",
       "541       7204     False\n",
       "542       7205     False\n",
       "543       7215     False\n",
       "544       7216     False\n",
       "545       8888     False\n",
       "\n",
       "[546 rows x 2 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "colors = pd.crosstab(train.colorCode, train.returny, normalize = 'index').returned > 60\n",
    "colors.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>colorCode</th>\n",
       "      <th>1000</th>\n",
       "      <th>1001</th>\n",
       "      <th>1002</th>\n",
       "      <th>1003</th>\n",
       "      <th>1004</th>\n",
       "      <th>1007</th>\n",
       "      <th>1008</th>\n",
       "      <th>1009</th>\n",
       "      <th>1010</th>\n",
       "      <th>1011</th>\n",
       "      <th>...</th>\n",
       "      <th>7196</th>\n",
       "      <th>7200</th>\n",
       "      <th>7201</th>\n",
       "      <th>7202</th>\n",
       "      <th>7203</th>\n",
       "      <th>7204</th>\n",
       "      <th>7205</th>\n",
       "      <th>7215</th>\n",
       "      <th>7216</th>\n",
       "      <th>8888</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>returny</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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>not returned</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>...</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.64</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>returned</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.64</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.44</td>\n",
       "      <td>...</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.57</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.64</td>\n",
       "      <td>0.68</td>\n",
       "      <td>0.57</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 546 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "colorCode     1000  1001  1002  1003  1004  1007  1008  1009  1010  1011  ...  \\\n",
       "returny                                                                   ...   \n",
       "not returned  0.52  0.47  0.46  0.47  0.53  0.46  0.44  0.36  0.51  0.56  ...   \n",
       "returned      0.48  0.53  0.54  0.53  0.47  0.54  0.56  0.64  0.49  0.44  ...   \n",
       "\n",
       "colorCode     7196  7200  7201  7202  7203  7204  7205  7215  7216  8888  \n",
       "returny                                                                   \n",
       "not returned  0.37  0.43  0.47  0.36  0.32  0.43  0.44  0.33  0.64   0.9  \n",
       "returned      0.63  0.57  0.53  0.64  0.68  0.57  0.56  0.67  0.36   0.1  \n",
       "\n",
       "[2 rows x 546 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(train.colorCode, train.returny, normalize = 'index').round(2).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "returny\n",
       "not returned    1103202\n",
       "returned        1206407\n",
       "Name: price_decrease, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.groupby(['returny']).price_decrease.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>articleID</th>\n",
       "      <th>productGroup</th>\n",
       "      <th>spend</th>\n",
       "      <th>rrp</th>\n",
       "      <th>rrp_spend</th>\n",
       "      <th>quantity</th>\n",
       "      <th>voucherID</th>\n",
       "      <th>voucherAmount</th>\n",
       "      <th>returnQuantity</th>\n",
       "      <th>return_spend</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>orderID</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",
       "      <td>a1000001</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>30.00</td>\n",
       "      <td>34.99</td>\n",
       "      <td>69.98</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>a1000002</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>84.99</td>\n",
       "      <td>49.99</td>\n",
       "      <td>99.98</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>49.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>a1000003</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>60.00</td>\n",
       "      <td>42.39</td>\n",
       "      <td>151.96</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>a1000004</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>89.99</td>\n",
       "      <td>89.99</td>\n",
       "      <td>89.99</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>89.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>a1000005</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>35.00</td>\n",
       "      <td>33.32</td>\n",
       "      <td>99.97</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>35.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>a3468747</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>28043.21</td>\n",
       "      <td>25.99</td>\n",
       "      <td>1897.27</td>\n",
       "      <td>73</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>a3468750</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>459.98</td>\n",
       "      <td>229.99</td>\n",
       "      <td>459.98</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>a3468752</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>10.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>a3468755</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>25.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>a3468758</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>50.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>738698 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          articleID  productGroup     spend     rrp  rrp_spend  quantity  \\\n",
       "orderID                                                                    \n",
       "a1000001          2             1     30.00   34.99      69.98         2   \n",
       "a1000002          2             1     84.99   49.99      99.98         2   \n",
       "a1000003          4             2     60.00   42.39     151.96         4   \n",
       "a1000004          1             1     89.99   89.99      89.99         1   \n",
       "a1000005          2             1     35.00   33.32      99.97         3   \n",
       "...             ...           ...       ...     ...        ...       ...   \n",
       "a3468747          1             1  28043.21   25.99    1897.27        73   \n",
       "a3468750          1             1    459.98  229.99     459.98         2   \n",
       "a3468752          1             0     10.00     NaN       0.00         1   \n",
       "a3468755          1             0     25.00     NaN       0.00         1   \n",
       "a3468758          1             0     50.00     NaN       0.00         1   \n",
       "\n",
       "          voucherID  voucherAmount  returnQuantity  return_spend  \n",
       "orderID                                                           \n",
       "a1000001          1            0.0               0          0.00  \n",
       "a1000002          1            0.0               1         49.99  \n",
       "a1000003          1            0.0               0          0.00  \n",
       "a1000004          1            0.0               1         89.99  \n",
       "a1000005          1            0.0               3         35.00  \n",
       "...             ...            ...             ...           ...  \n",
       "a3468747          1            0.0               0          0.00  \n",
       "a3468750          1            0.0               0          0.00  \n",
       "a3468752          1            0.0               0          0.00  \n",
       "a3468755          1            0.0               0          0.00  \n",
       "a3468758          1            0.0               0          0.00  \n",
       "\n",
       "[738698 rows x 10 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# basket data\n",
    "# \n",
    "train.groupby('orderID').agg({'articleID':'nunique','productGroup':'nunique',\\\n",
    "                              'spend':'sum','rrp':'mean','rrp_spend':'sum','quantity':'sum',\\\n",
    "                              'voucherID':'nunique','voucherAmount':'sum',\\\n",
    "                              'returnQuantity':'sum','return_spend':'sum'}).round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# customer data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>orderID</th>\n",
       "      <th>productGroup</th>\n",
       "      <th>articleID</th>\n",
       "      <th>quantity</th>\n",
       "      <th>returnQuantity</th>\n",
       "      <th>colorCode</th>\n",
       "      <th>sizeCode</th>\n",
       "      <th>returnrate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customerID</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",
       "      <td>c1157713</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.727273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>c1140119</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>25</td>\n",
       "      <td>22</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>0.880000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>c1126211</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>c1230250</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>c1265694</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            orderID  productGroup  articleID  quantity  returnQuantity  \\\n",
       "customerID                                                               \n",
       "c1157713          1             2          8        11               8   \n",
       "c1140119          7             5         15        25              22   \n",
       "c1126211          2             2          2         3               0   \n",
       "c1230250          3             2          3         5               2   \n",
       "c1265694          2             2          2         2               2   \n",
       "\n",
       "            colorCode  sizeCode  returnrate  \n",
       "customerID                                   \n",
       "c1157713            6         1    0.727273  \n",
       "c1140119           16         3    0.880000  \n",
       "c1126211            3         2    0.000000  \n",
       "c1230250            3         3    0.400000  \n",
       "c1265694            2         2    1.000000  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cust = train.groupby('customerID').agg({'orderID':'nunique','productGroup':'nunique','articleID':'nunique',\\\n",
    "                              'quantity':'sum','returnQuantity':'sum',\\\n",
    "                               'colorCode':'nunique', 'sizeCode':'nunique'}).round(2)\n",
    "\n",
    "cust['returnrate'] = cust.returnQuantity/cust.quantity\n",
    "cust.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>orderID</th>\n",
       "      <th>quantity</th>\n",
       "      <th>returnQuantity</th>\n",
       "      <th>colorCode</th>\n",
       "      <th>sizeCode</th>\n",
       "      <th>returnrate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>productGroup</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",
       "      <td>43.0</td>\n",
       "      <td>2882</td>\n",
       "      <td>2884</td>\n",
       "      <td>405</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.140430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>90.0</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.193548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14.0</td>\n",
       "      <td>35855</td>\n",
       "      <td>44486</td>\n",
       "      <td>27950</td>\n",
       "      <td>66</td>\n",
       "      <td>6</td>\n",
       "      <td>0.628288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50.0</td>\n",
       "      <td>7089</td>\n",
       "      <td>8066</td>\n",
       "      <td>5077</td>\n",
       "      <td>22</td>\n",
       "      <td>6</td>\n",
       "      <td>0.629432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15.0</td>\n",
       "      <td>9045</td>\n",
       "      <td>10847</td>\n",
       "      <td>5860</td>\n",
       "      <td>34</td>\n",
       "      <td>6</td>\n",
       "      <td>0.540242</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              orderID  quantity  returnQuantity  colorCode  sizeCode  \\\n",
       "productGroup                                                           \n",
       "43.0             2882      2884             405          1         1   \n",
       "90.0               31        31               6          1         1   \n",
       "14.0            35855     44486           27950         66         6   \n",
       "50.0             7089      8066            5077         22         6   \n",
       "15.0             9045     10847            5860         34         6   \n",
       "\n",
       "              returnrate  \n",
       "productGroup              \n",
       "43.0            0.140430  \n",
       "90.0            0.193548  \n",
       "14.0            0.628288  \n",
       "50.0            0.629432  \n",
       "15.0            0.540242  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prod_gr = train.groupby('productGroup').agg({'orderID':'nunique',\\\n",
    "                              'quantity':'sum','returnQuantity':'sum',\\\n",
    "                               'colorCode':'nunique', 'sizeCode':'nunique'}).round(2)\n",
    "\n",
    "prod_gr['returnrate'] = prod_gr.returnQuantity/prod_gr.quantity\n",
    "prod_gr.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>orderID</th>\n",
       "      <th>orderDate</th>\n",
       "      <th>articleID</th>\n",
       "      <th>colorCode</th>\n",
       "      <th>sizeCode</th>\n",
       "      <th>productGroup</th>\n",
       "      <th>quantity</th>\n",
       "      <th>price</th>\n",
       "      <th>rrp</th>\n",
       "      <th>voucherID</th>\n",
       "      <th>voucherAmount</th>\n",
       "      <th>customerID</th>\n",
       "      <th>deviceID</th>\n",
       "      <th>paymentMethod</th>\n",
       "      <th>returnQuantity</th>\n",
       "      <th>spend</th>\n",
       "      <th>rrp_spend</th>\n",
       "      <th>return_spend</th>\n",
       "      <th>price_decrease</th>\n",
       "      <th>returny</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1536364</td>\n",
       "      <td>a1498295</td>\n",
       "      <td>2015-03-26</td>\n",
       "      <td>i1001866</td>\n",
       "      <td>1001</td>\n",
       "      <td>42</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1</td>\n",
       "      <td>25.00</td>\n",
       "      <td>49.99</td>\n",
       "      <td>v1000415</td>\n",
       "      <td>10.0</td>\n",
       "      <td>c1195748</td>\n",
       "      <td>2</td>\n",
       "      <td>PAYPALVC</td>\n",
       "      <td>1</td>\n",
       "      <td>25.00</td>\n",
       "      <td>49.99</td>\n",
       "      <td>25.00</td>\n",
       "      <td>-0.499900</td>\n",
       "      <td>returned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>426572</td>\n",
       "      <td>a1139328</td>\n",
       "      <td>2014-05-15</td>\n",
       "      <td>i1000365</td>\n",
       "      <td>1854</td>\n",
       "      <td>44</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>15.99</td>\n",
       "      <td>15.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1013292</td>\n",
       "      <td>3</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>1</td>\n",
       "      <td>15.99</td>\n",
       "      <td>15.99</td>\n",
       "      <td>15.99</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>returned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2075635</td>\n",
       "      <td>a1666862</td>\n",
       "      <td>2015-07-30</td>\n",
       "      <td>i1001127</td>\n",
       "      <td>1493</td>\n",
       "      <td>44</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>35.99</td>\n",
       "      <td>v1000415</td>\n",
       "      <td>10.0</td>\n",
       "      <td>c1257729</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>35.99</td>\n",
       "      <td>10.00</td>\n",
       "      <td>-0.722145</td>\n",
       "      <td>returned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1241741</td>\n",
       "      <td>a1399419</td>\n",
       "      <td>2014-12-27</td>\n",
       "      <td>i1002485</td>\n",
       "      <td>1001</td>\n",
       "      <td>44</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1</td>\n",
       "      <td>65.00</td>\n",
       "      <td>89.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1221550</td>\n",
       "      <td>5</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>1</td>\n",
       "      <td>65.00</td>\n",
       "      <td>89.99</td>\n",
       "      <td>65.00</td>\n",
       "      <td>-0.277698</td>\n",
       "      <td>returned</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          orderID  orderDate articleID  colorCode sizeCode  productGroup  \\\n",
       "1536364  a1498295 2015-03-26  i1001866       1001       42           8.0   \n",
       "426572   a1139328 2014-05-15  i1000365       1854       44           3.0   \n",
       "2075635  a1666862 2015-07-30  i1001127       1493       44           3.0   \n",
       "1241741  a1399419 2014-12-27  i1002485       1001       44          14.0   \n",
       "\n",
       "         quantity  price    rrp voucherID  voucherAmount customerID  deviceID  \\\n",
       "1536364         1  25.00  49.99  v1000415           10.0   c1195748         2   \n",
       "426572          1  15.99  15.99         0            0.0   c1013292         3   \n",
       "2075635         1  10.00  35.99  v1000415           10.0   c1257729         2   \n",
       "1241741         1  65.00  89.99         0            0.0   c1221550         5   \n",
       "\n",
       "        paymentMethod  returnQuantity  spend  rrp_spend  return_spend  \\\n",
       "1536364      PAYPALVC               1  25.00      49.99         25.00   \n",
       "426572           BPRG               1  15.99      15.99         15.99   \n",
       "2075635          BPRG               1  10.00      35.99         10.00   \n",
       "1241741          BPRG               1  65.00      89.99         65.00   \n",
       "\n",
       "         price_decrease   returny  \n",
       "1536364       -0.499900  returned  \n",
       "426572         0.000000  returned  \n",
       "2075635       -0.722145  returned  \n",
       "1241741       -0.277698  returned  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.sample(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# product data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>orderID</th>\n",
       "      <th>voucherID</th>\n",
       "      <th>quantity</th>\n",
       "      <th>returnQuantity</th>\n",
       "      <th>colorCode</th>\n",
       "      <th>sizeCode</th>\n",
       "      <th>returnrate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>articleID</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",
       "      <td>i1001812</td>\n",
       "      <td>670</td>\n",
       "      <td>22</td>\n",
       "      <td>800</td>\n",
       "      <td>650</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0.812500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>i1003758</td>\n",
       "      <td>455</td>\n",
       "      <td>30</td>\n",
       "      <td>513</td>\n",
       "      <td>260</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>0.506823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>i1001051</td>\n",
       "      <td>506</td>\n",
       "      <td>18</td>\n",
       "      <td>571</td>\n",
       "      <td>306</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>0.535902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>i1000719</td>\n",
       "      <td>567</td>\n",
       "      <td>21</td>\n",
       "      <td>656</td>\n",
       "      <td>373</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>0.568598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>i1000946</td>\n",
       "      <td>133</td>\n",
       "      <td>12</td>\n",
       "      <td>128</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0.414062</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           orderID  voucherID  quantity  returnQuantity  colorCode  sizeCode  \\\n",
       "articleID                                                                      \n",
       "i1001812       670         22       800             650          3         6   \n",
       "i1003758       455         30       513             260          2         7   \n",
       "i1001051       506         18       571             306          2         6   \n",
       "i1000719       567         21       656             373          4         6   \n",
       "i1000946       133         12       128              53          1         6   \n",
       "\n",
       "           returnrate  \n",
       "articleID              \n",
       "i1001812     0.812500  \n",
       "i1003758     0.506823  \n",
       "i1001051     0.535902  \n",
       "i1000719     0.568598  \n",
       "i1000946     0.414062  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prod = train.groupby('articleID').agg({'orderID':'nunique','voucherID':'nunique',\\\n",
    "                              'quantity':'sum','returnQuantity':'sum',\\\n",
    "                               'colorCode':'nunique', 'sizeCode':'nunique'}).round(2)\n",
    "\n",
    "prod['returnrate'] = prod.returnQuantity/prod.quantity\n",
    "prod.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "articleID\n",
       "i1003278    36\n",
       "i1003279    32\n",
       "i1000398    27\n",
       "i1000315    27\n",
       "i1000397    24\n",
       "            ..\n",
       "i1002437     1\n",
       "i1002436     1\n",
       "i1002431     1\n",
       "i1002430     1\n",
       "i1000003     1\n",
       "Name: colorCode, Length: 3823, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.groupby(['articleID']).colorCode.nunique().sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>orderID</th>\n",
       "      <th>orderDate</th>\n",
       "      <th>articleID</th>\n",
       "      <th>colorCode</th>\n",
       "      <th>sizeCode</th>\n",
       "      <th>productGroup</th>\n",
       "      <th>quantity</th>\n",
       "      <th>price</th>\n",
       "      <th>rrp</th>\n",
       "      <th>voucherID</th>\n",
       "      <th>voucherAmount</th>\n",
       "      <th>customerID</th>\n",
       "      <th>deviceID</th>\n",
       "      <th>paymentMethod</th>\n",
       "      <th>returnQuantity</th>\n",
       "      <th>spend</th>\n",
       "      <th>rrp_spend</th>\n",
       "      <th>return_spend</th>\n",
       "      <th>price_decrease</th>\n",
       "      <th>returny</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2030152</td>\n",
       "      <td>a1652359</td>\n",
       "      <td>2015-07-17</td>\n",
       "      <td>i1000670</td>\n",
       "      <td>1493</td>\n",
       "      <td>38</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1001723</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>0</td>\n",
       "      <td>9.99</td>\n",
       "      <td>9.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>not returned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>811961</td>\n",
       "      <td>a1255048</td>\n",
       "      <td>2014-08-14</td>\n",
       "      <td>i1001926</td>\n",
       "      <td>1010</td>\n",
       "      <td>40</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1</td>\n",
       "      <td>25.00</td>\n",
       "      <td>49.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1007791</td>\n",
       "      <td>2</td>\n",
       "      <td>CBA</td>\n",
       "      <td>1</td>\n",
       "      <td>25.00</td>\n",
       "      <td>49.99</td>\n",
       "      <td>25.00</td>\n",
       "      <td>-0.499900</td>\n",
       "      <td>returned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2047089</td>\n",
       "      <td>a1657773</td>\n",
       "      <td>2015-07-22</td>\n",
       "      <td>i1001084</td>\n",
       "      <td>1089</td>\n",
       "      <td>42</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>12.00</td>\n",
       "      <td>17.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1296436</td>\n",
       "      <td>3</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>1</td>\n",
       "      <td>12.00</td>\n",
       "      <td>17.99</td>\n",
       "      <td>12.00</td>\n",
       "      <td>-0.332963</td>\n",
       "      <td>returned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47499</td>\n",
       "      <td>a1015767</td>\n",
       "      <td>2014-01-18</td>\n",
       "      <td>i1000244</td>\n",
       "      <td>6784</td>\n",
       "      <td>29</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>69.99</td>\n",
       "      <td>69.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1034311</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>0</td>\n",
       "      <td>69.99</td>\n",
       "      <td>69.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>not returned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1195910</td>\n",
       "      <td>a1383581</td>\n",
       "      <td>2014-12-09</td>\n",
       "      <td>i1000990</td>\n",
       "      <td>1012</td>\n",
       "      <td>38</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>27.99</td>\n",
       "      <td>27.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1121686</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>1</td>\n",
       "      <td>27.99</td>\n",
       "      <td>27.99</td>\n",
       "      <td>27.99</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>returned</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          orderID  orderDate articleID  colorCode sizeCode  productGroup  \\\n",
       "2030152  a1652359 2015-07-17  i1000670       1493       38           3.0   \n",
       "811961   a1255048 2014-08-14  i1001926       1010       40           8.0   \n",
       "2047089  a1657773 2015-07-22  i1001084       1089       42           3.0   \n",
       "47499    a1015767 2014-01-18  i1000244       6784       29           2.0   \n",
       "1195910  a1383581 2014-12-09  i1000990       1012       38           3.0   \n",
       "\n",
       "         quantity  price    rrp voucherID  voucherAmount customerID  deviceID  \\\n",
       "2030152         1   9.99   9.99         0            0.0   c1001723         2   \n",
       "811961          1  25.00  49.99         0            0.0   c1007791         2   \n",
       "2047089         1  12.00  17.99         0            0.0   c1296436         3   \n",
       "47499           1  69.99  69.99         0            0.0   c1034311         2   \n",
       "1195910         1  27.99  27.99         0            0.0   c1121686         2   \n",
       "\n",
       "        paymentMethod  returnQuantity  spend  rrp_spend  return_spend  \\\n",
       "2030152          BPRG               0   9.99       9.99          0.00   \n",
       "811961            CBA               1  25.00      49.99         25.00   \n",
       "2047089          BPRG               1  12.00      17.99         12.00   \n",
       "47499            BPRG               0  69.99      69.99          0.00   \n",
       "1195910          BPRG               1  27.99      27.99         27.99   \n",
       "\n",
       "         price_decrease       returny  \n",
       "2030152        0.000000  not returned  \n",
       "811961        -0.499900      returned  \n",
       "2047089       -0.332963      returned  \n",
       "47499          0.000000  not returned  \n",
       "1195910        0.000000      returned  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "## ## ## returnQuantity   vs:\n",
    "#  payment method\n",
    "#  device\n",
    "#  ilosc rzeczy w koszyku\n",
    "#  ColorCode\n",
    "#  if rebate_m\n",
    "# if \n",
    "\n",
    "## ## ## returnQuantity   vs:\n",
    "# BlackFriday ? other promo days: Check Discount Rate Promo (Globalna skala na kalendarzu)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>returnQuantity</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>productGroup</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",
       "      <td>1.0</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.594</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2.0</td>\n",
       "      <td>0.419</td>\n",
       "      <td>0.579</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3.0</td>\n",
       "      <td>0.539</td>\n",
       "      <td>0.459</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4.0</td>\n",
       "      <td>0.487</td>\n",
       "      <td>0.512</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5.0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>0.541</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6.0</td>\n",
       "      <td>0.487</td>\n",
       "      <td>0.512</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7.0</td>\n",
       "      <td>0.377</td>\n",
       "      <td>0.622</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8.0</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9.0</td>\n",
       "      <td>0.404</td>\n",
       "      <td>0.595</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13.0</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.676</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14.0</td>\n",
       "      <td>0.384</td>\n",
       "      <td>0.615</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15.0</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.529</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17.0</td>\n",
       "      <td>0.622</td>\n",
       "      <td>0.376</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43.0</td>\n",
       "      <td>0.859</td>\n",
       "      <td>0.141</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45.0</td>\n",
       "      <td>0.903</td>\n",
       "      <td>0.097</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50.0</td>\n",
       "      <td>0.382</td>\n",
       "      <td>0.617</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>90.0</td>\n",
       "      <td>0.806</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "returnQuantity      0      1      2    3    4    5\n",
       "productGroup                                      \n",
       "1.0             0.405  0.594  0.001  0.0  0.0  0.0\n",
       "2.0             0.419  0.579  0.002  0.0  0.0  0.0\n",
       "3.0             0.539  0.459  0.002  0.0  0.0  0.0\n",
       "4.0             0.487  0.512  0.001  0.0  0.0  0.0\n",
       "5.0             0.458  0.541  0.001  0.0  0.0  0.0\n",
       "6.0             0.487  0.512  0.001  0.0  0.0  0.0\n",
       "7.0             0.377  0.622  0.001  0.0  0.0  0.0\n",
       "8.0             0.417  0.581  0.002  0.0  0.0  0.0\n",
       "9.0             0.404  0.595  0.001  0.0  0.0  0.0\n",
       "13.0            0.323  0.676  0.001  0.0  0.0  0.0\n",
       "14.0            0.384  0.615  0.001  0.0  0.0  0.0\n",
       "15.0            0.470  0.529  0.000  0.0  0.0  0.0\n",
       "17.0            0.622  0.376  0.002  0.0  0.0  0.0\n",
       "26.0            1.000  0.000  0.000  0.0  0.0  0.0\n",
       "43.0            0.859  0.141  0.000  0.0  0.0  0.0\n",
       "45.0            0.903  0.097  0.000  0.0  0.0  0.0\n",
       "50.0            0.382  0.617  0.001  0.0  0.0  0.0\n",
       "90.0            0.806  0.194  0.000  0.0  0.0  0.0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(train.productGroup, train.returnQuantity, normalize = 'index').round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_firt_tran_month(x):\n",
    "    return dt.datetime(x.year, x.month, 1)\n",
    "\n",
    "def get_date_int(df, column):\n",
    "    year = df[column].dt.year\n",
    "    month = df[column].dt.month\n",
    "    #day = df[column].dt.day\n",
    "    return year, month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>customerID</th>\n",
       "      <th>orderDate</th>\n",
       "      <th>CohortMonth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>238260</td>\n",
       "      <td>c1245895</td>\n",
       "      <td>2015-03-15</td>\n",
       "      <td>2015-03-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>99331</td>\n",
       "      <td>c1106295</td>\n",
       "      <td>2014-02-22</td>\n",
       "      <td>2014-02-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>121396</td>\n",
       "      <td>c1128472</td>\n",
       "      <td>2014-04-18</td>\n",
       "      <td>2014-04-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>72396</td>\n",
       "      <td>c1077379</td>\n",
       "      <td>2015-01-18</td>\n",
       "      <td>2015-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5838</td>\n",
       "      <td>c1006166</td>\n",
       "      <td>2014-09-22</td>\n",
       "      <td>2014-09-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       customerID  orderDate CohortMonth\n",
       "238260   c1245895 2015-03-15  2015-03-01\n",
       "99331    c1106295 2014-02-22  2014-02-01\n",
       "121396   c1128472 2014-04-18  2014-04-01\n",
       "72396    c1077379 2015-01-18  2015-01-01\n",
       "5838     c1006166 2014-09-22  2014-09-01"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dates = train.groupby(['customerID']).orderDate.min().reset_index()\n",
    "dates['CohortMonth'] = dates['orderDate'].apply(get_firt_tran_month)\n",
    "dates.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "coh_train = pd.merge(train, dates[['customerID','CohortMonth']], on = ['customerID'], how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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>orderID</th>\n",
       "      <th>orderDate</th>\n",
       "      <th>articleID</th>\n",
       "      <th>colorCode</th>\n",
       "      <th>sizeCode</th>\n",
       "      <th>productGroup</th>\n",
       "      <th>quantity</th>\n",
       "      <th>price</th>\n",
       "      <th>rrp</th>\n",
       "      <th>voucherID</th>\n",
       "      <th>...</th>\n",
       "      <th>deviceID</th>\n",
       "      <th>paymentMethod</th>\n",
       "      <th>returnQuantity</th>\n",
       "      <th>spend</th>\n",
       "      <th>rrp_spend</th>\n",
       "      <th>return_spend</th>\n",
       "      <th>price_decrease</th>\n",
       "      <th>returny</th>\n",
       "      <th>CohortMonth</th>\n",
       "      <th>CohortIndex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>a1000001</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>i1000382</td>\n",
       "      <td>1972</td>\n",
       "      <td>44</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>29.99</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>29.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.666556</td>\n",
       "      <td>not returned</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>a1000001</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>i1000550</td>\n",
       "      <td>3854</td>\n",
       "      <td>44</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>39.99</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>39.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.499875</td>\n",
       "      <td>not returned</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>a1155949</td>\n",
       "      <td>2014-05-27</td>\n",
       "      <td>i1000579</td>\n",
       "      <td>3974</td>\n",
       "      <td>44</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>29.99</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>29.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.699900</td>\n",
       "      <td>not returned</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>a1155949</td>\n",
       "      <td>2014-05-27</td>\n",
       "      <td>i1000629</td>\n",
       "      <td>1894</td>\n",
       "      <td>44</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>18.0</td>\n",
       "      <td>35.99</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>35.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.499861</td>\n",
       "      <td>not returned</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>a1000002</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>i1001991</td>\n",
       "      <td>2974</td>\n",
       "      <td>38</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1</td>\n",
       "      <td>35.0</td>\n",
       "      <td>49.99</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>49.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.299860</td>\n",
       "      <td>not returned</td>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    orderID  orderDate articleID  colorCode sizeCode  productGroup  quantity  \\\n",
       "0  a1000001 2014-01-01  i1000382       1972       44           3.0         1   \n",
       "1  a1000001 2014-01-01  i1000550       3854       44           3.0         1   \n",
       "2  a1155949 2014-05-27  i1000579       3974       44           3.0         1   \n",
       "3  a1155949 2014-05-27  i1000629       1894       44           3.0         1   \n",
       "4  a1000002 2014-01-01  i1001991       2974       38           8.0         1   \n",
       "\n",
       "   price    rrp voucherID  ...  deviceID paymentMethod  returnQuantity spend  \\\n",
       "0   10.0  29.99         0  ...         2          BPRG               0  10.0   \n",
       "1   20.0  39.99         0  ...         2          BPRG               0  20.0   \n",
       "2    9.0  29.99         0  ...         2          BPRG               0   9.0   \n",
       "3   18.0  35.99         0  ...         2          BPRG               0  18.0   \n",
       "4   35.0  49.99         0  ...         4          BPRG               0  35.0   \n",
       "\n",
       "   rrp_spend  return_spend  price_decrease       returny  CohortMonth  \\\n",
       "0      29.99           0.0       -0.666556  not returned   2014-01-01   \n",
       "1      39.99           0.0       -0.499875  not returned   2014-01-01   \n",
       "2      29.99           0.0       -0.699900  not returned   2014-01-01   \n",
       "3      35.99           0.0       -0.499861  not returned   2014-01-01   \n",
       "4      49.99           0.0       -0.299860  not returned   2014-01-01   \n",
       "\n",
       "  CohortIndex  \n",
       "0           1  \n",
       "1           1  \n",
       "2           5  \n",
       "3           5  \n",
       "4           1  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the integers for date parts from the `InvoiceDay` column\n",
    "trans_year, trans_month = get_date_int(coh_train,'orderDate')\n",
    "# Get the integers for date parts from the `CohortDay` column\n",
    "cohort_year, cohort_month = get_date_int(coh_train,'CohortMonth')\n",
    "\n",
    "# Calculate difference in years\n",
    "years_diff = trans_year - cohort_year\n",
    "# Calculate difference in months\n",
    "months_diff = trans_month - cohort_month\n",
    "\n",
    "# Extract the difference in days from all previous values\n",
    "coh_train['CohortIndex'] = years_diff * 12 + months_diff + 1\n",
    "coh_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "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>CohortIndex</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",
       "      <th>10</th>\n",
       "      <th>...</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CohortMonth</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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2014-01-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.186</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.172</td>\n",
       "      <td>0.192</td>\n",
       "      <td>0.181</td>\n",
       "      <td>0.157</td>\n",
       "      <td>0.143</td>\n",
       "      <td>0.140</td>\n",
       "      <td>0.160</td>\n",
       "      <td>...</td>\n",
       "      <td>0.117</td>\n",
       "      <td>0.136</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.148</td>\n",
       "      <td>0.133</td>\n",
       "      <td>0.136</td>\n",
       "      <td>0.128</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-02-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.136</td>\n",
       "      <td>0.128</td>\n",
       "      <td>0.140</td>\n",
       "      <td>0.145</td>\n",
       "      <td>0.119</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.121</td>\n",
       "      <td>0.101</td>\n",
       "      <td>...</td>\n",
       "      <td>0.097</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.109</td>\n",
       "      <td>0.099</td>\n",
       "      <td>0.103</td>\n",
       "      <td>0.098</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0.085</td>\n",
       "      <td>0.085</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-03-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.121</td>\n",
       "      <td>0.118</td>\n",
       "      <td>0.130</td>\n",
       "      <td>0.096</td>\n",
       "      <td>0.095</td>\n",
       "      <td>0.093</td>\n",
       "      <td>0.100</td>\n",
       "      <td>0.081</td>\n",
       "      <td>0.065</td>\n",
       "      <td>...</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.098</td>\n",
       "      <td>0.085</td>\n",
       "      <td>0.088</td>\n",
       "      <td>0.086</td>\n",
       "      <td>0.074</td>\n",
       "      <td>0.069</td>\n",
       "      <td>0.074</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.111</td>\n",
       "      <td>0.084</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.089</td>\n",
       "      <td>0.066</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.061</td>\n",
       "      <td>...</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.074</td>\n",
       "      <td>0.078</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.062</td>\n",
       "      <td>0.057</td>\n",
       "      <td>0.056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-05-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.114</td>\n",
       "      <td>0.085</td>\n",
       "      <td>0.075</td>\n",
       "      <td>0.076</td>\n",
       "      <td>0.085</td>\n",
       "      <td>0.068</td>\n",
       "      <td>0.053</td>\n",
       "      <td>0.057</td>\n",
       "      <td>0.057</td>\n",
       "      <td>...</td>\n",
       "      <td>0.064</td>\n",
       "      <td>0.076</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.056</td>\n",
       "      <td>0.054</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-06-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.094</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.066</td>\n",
       "      <td>0.079</td>\n",
       "      <td>0.064</td>\n",
       "      <td>0.048</td>\n",
       "      <td>0.052</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.065</td>\n",
       "      <td>...</td>\n",
       "      <td>0.065</td>\n",
       "      <td>0.068</td>\n",
       "      <td>0.062</td>\n",
       "      <td>0.054</td>\n",
       "      <td>0.048</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-07-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.079</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.067</td>\n",
       "      <td>0.065</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.051</td>\n",
       "      <td>0.049</td>\n",
       "      <td>0.065</td>\n",
       "      <td>0.055</td>\n",
       "      <td>...</td>\n",
       "      <td>0.060</td>\n",
       "      <td>0.060</td>\n",
       "      <td>0.054</td>\n",
       "      <td>0.048</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.084</td>\n",
       "      <td>0.072</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.057</td>\n",
       "      <td>0.057</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.069</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.060</td>\n",
       "      <td>...</td>\n",
       "      <td>0.056</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.049</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-09-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.051</td>\n",
       "      <td>0.056</td>\n",
       "      <td>0.062</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.057</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.063</td>\n",
       "      <td>...</td>\n",
       "      <td>0.046</td>\n",
       "      <td>0.053</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-10-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.071</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.062</td>\n",
       "      <td>0.066</td>\n",
       "      <td>0.073</td>\n",
       "      <td>0.057</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.049</td>\n",
       "      <td>...</td>\n",
       "      <td>0.052</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.060</td>\n",
       "      <td>0.054</td>\n",
       "      <td>0.059</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.054</td>\n",
       "      <td>0.074</td>\n",
       "      <td>0.062</td>\n",
       "      <td>0.049</td>\n",
       "      <td>0.047</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2014-12-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.066</td>\n",
       "      <td>0.058</td>\n",
       "      <td>0.067</td>\n",
       "      <td>0.051</td>\n",
       "      <td>0.076</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.047</td>\n",
       "      <td>0.044</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.081</td>\n",
       "      <td>0.068</td>\n",
       "      <td>0.056</td>\n",
       "      <td>0.084</td>\n",
       "      <td>0.067</td>\n",
       "      <td>0.057</td>\n",
       "      <td>0.048</td>\n",
       "      <td>0.050</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2015-02-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.084</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.067</td>\n",
       "      <td>0.066</td>\n",
       "      <td>0.055</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.046</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2015-03-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.073</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.054</td>\n",
       "      <td>0.053</td>\n",
       "      <td>0.050</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2015-04-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.079</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.061</td>\n",
       "      <td>0.057</td>\n",
       "      <td>0.052</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2015-05-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.085</td>\n",
       "      <td>0.063</td>\n",
       "      <td>0.058</td>\n",
       "      <td>0.059</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2015-06-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.082</td>\n",
       "      <td>0.059</td>\n",
       "      <td>0.051</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.076</td>\n",
       "      <td>0.053</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2015-08-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.067</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2015-09-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "CohortIndex   1      2      3      4      5      6      7      8      9   \\\n",
       "CohortMonth                                                                \n",
       "2014-01-01   1.0  0.186  0.176  0.172  0.192  0.181  0.157  0.143  0.140   \n",
       "2014-02-01   1.0  0.136  0.128  0.140  0.145  0.119  0.110  0.110  0.121   \n",
       "2014-03-01   1.0  0.121  0.118  0.130  0.096  0.095  0.093  0.100  0.081   \n",
       "2014-04-01   1.0  0.110  0.111  0.084  0.083  0.080  0.089  0.066  0.055   \n",
       "2014-05-01   1.0  0.114  0.085  0.075  0.076  0.085  0.068  0.053  0.057   \n",
       "2014-06-01   1.0  0.094  0.070  0.066  0.079  0.064  0.048  0.052  0.050   \n",
       "2014-07-01   1.0  0.079  0.063  0.067  0.065  0.055  0.051  0.049  0.065   \n",
       "2014-08-01   1.0  0.084  0.072  0.063  0.057  0.057  0.055  0.069  0.061   \n",
       "2014-09-01   1.0  0.083  0.063  0.051  0.056  0.062  0.070  0.057  0.061   \n",
       "2014-10-01   1.0  0.071  0.050  0.062  0.066  0.073  0.057  0.061  0.061   \n",
       "2014-11-01   1.0  0.060  0.054  0.059  0.077  0.054  0.074  0.062  0.049   \n",
       "2014-12-01   1.0  0.066  0.058  0.067  0.051  0.076  0.063  0.050  0.047   \n",
       "2015-01-01   1.0  0.081  0.068  0.056  0.084  0.067  0.057  0.048  0.050   \n",
       "2015-02-01   1.0  0.084  0.063  0.067  0.066  0.055  0.050  0.046    NaN   \n",
       "2015-03-01   1.0  0.073  0.061  0.061  0.054  0.053  0.050    NaN    NaN   \n",
       "2015-04-01   1.0  0.079  0.063  0.061  0.057  0.052    NaN    NaN    NaN   \n",
       "2015-05-01   1.0  0.085  0.063  0.058  0.059    NaN    NaN    NaN    NaN   \n",
       "2015-06-01   1.0  0.082  0.059  0.051    NaN    NaN    NaN    NaN    NaN   \n",
       "2015-07-01   1.0  0.076  0.053    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2015-08-01   1.0  0.067    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2015-09-01   1.0    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "CohortIndex     10  ...     12     13     14     15     16     17     18  \\\n",
       "CohortMonth         ...                                                    \n",
       "2014-01-01   0.160  ...  0.117  0.136  0.126  0.148  0.133  0.136  0.128   \n",
       "2014-02-01   0.101  ...  0.097  0.090  0.109  0.099  0.103  0.098  0.090   \n",
       "2014-03-01   0.065  ...  0.077  0.098  0.085  0.088  0.086  0.074  0.069   \n",
       "2014-04-01   0.061  ...  0.080  0.074  0.078  0.070  0.062  0.057  0.056   \n",
       "2014-05-01   0.057  ...  0.064  0.076  0.070  0.061  0.056  0.054    NaN   \n",
       "2014-06-01   0.065  ...  0.065  0.068  0.062  0.054  0.048    NaN    NaN   \n",
       "2014-07-01   0.055  ...  0.060  0.060  0.054  0.048    NaN    NaN    NaN   \n",
       "2014-08-01   0.060  ...  0.056  0.055  0.049    NaN    NaN    NaN    NaN   \n",
       "2014-09-01   0.063  ...  0.046  0.053    NaN    NaN    NaN    NaN    NaN   \n",
       "2014-10-01   0.049  ...  0.052    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2014-11-01   0.047  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2014-12-01   0.044  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2015-01-01     NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2015-02-01     NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2015-03-01     NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2015-04-01     NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2015-05-01     NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2015-06-01     NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2015-07-01     NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2015-08-01     NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "2015-09-01     NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "CohortIndex     19     20     21  \n",
       "CohortMonth                       \n",
       "2014-01-01   0.120  0.115  0.116  \n",
       "2014-02-01   0.085  0.085    NaN  \n",
       "2014-03-01   0.074    NaN    NaN  \n",
       "2014-04-01     NaN    NaN    NaN  \n",
       "2014-05-01     NaN    NaN    NaN  \n",
       "2014-06-01     NaN    NaN    NaN  \n",
       "2014-07-01     NaN    NaN    NaN  \n",
       "2014-08-01     NaN    NaN    NaN  \n",
       "2014-09-01     NaN    NaN    NaN  \n",
       "2014-10-01     NaN    NaN    NaN  \n",
       "2014-11-01     NaN    NaN    NaN  \n",
       "2014-12-01     NaN    NaN    NaN  \n",
       "2015-01-01     NaN    NaN    NaN  \n",
       "2015-02-01     NaN    NaN    NaN  \n",
       "2015-03-01     NaN    NaN    NaN  \n",
       "2015-04-01     NaN    NaN    NaN  \n",
       "2015-05-01     NaN    NaN    NaN  \n",
       "2015-06-01     NaN    NaN    NaN  \n",
       "2015-07-01     NaN    NaN    NaN  \n",
       "2015-08-01     NaN    NaN    NaN  \n",
       "2015-09-01     NaN    NaN    NaN  \n",
       "\n",
       "[21 rows x 21 columns]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouping = coh_train.groupby(['CohortMonth', 'CohortIndex'])\n",
    "\n",
    "# Count the number of unique values per customer ID\n",
    "cohort_data = grouping['customerID'].apply(pd.Series.nunique).reset_index()\n",
    "# Create a pivot \n",
    "cohort_counts = cohort_data.pivot(index='CohortMonth', columns='CohortIndex', values='customerID')\n",
    "# Select the first column and store it to cohort_sizes\n",
    "cohort_sizes = cohort_counts.iloc[:,0]\n",
    "# Divide the cohort count by cohort sizes along the rows\n",
    "retention = cohort_counts.divide(cohort_sizes, axis=0)\n",
    "retention.round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAloAAAHwCAYAAAB+NMH/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdf5hdVX33/fcnPyGEQEL4EZNotMVCaCvUSNBYS6ENKAj0rii20NiitL3xIrmEItBe0hv0LrellNraKjekTyooYoGHSKk0DaRKS2NCiGIMGvSJEAlEDJioGJjk8/yxV+Q4mTnnzMzZJ0Pm88q1r3PO2mt/99qTyeQ7a629tmwTEREREZ03am83ICIiImJflUQrIiIioiZJtCIiIiJqkkQrIiIioiZJtCIiIiJqkkQrIiIioiZJtCIiBknS70r6t73djogYvpJoRbxMSPodSasl/VDSZkn/KunNQ4z555Ju7lQbO62078Vyzc9J+i9JbxzA8Rsl/UaH2jJLkiWN2V1m+xbb8zsRPyL2TUm0Il4GJH0AuB7438DhwCuBvwfO3Jvt6qTGBKaXz9qeCEwF7gc+171WRUQMTRKtiGFO0kHAVcCFtu+w/SPbL9r+vO0/KXX+H0kfbjjmREmbGj5/UNJ3JW2X9A1JJ0s6FbgCeFfpMfpKqfsKSUslbZX0mKT3NcT5c0mfk3RzifWIpNdKulzSFklPSJrf2HZJN5UeuO9K+rCk0WXfeyT9p6S/lrQV+PNmXwfbPcAtwHRJhzac43RJaxt6vH65lH+KKiH9fLm+S0v5CaXec5K+IunEhlgrJF1d2rVd0r9Jmlp2f7G8PlfivbFcwwMNx79J0ipJPyivb2ozdkTso5JoRQx/bwT2A+4czMGSfgF4P/AG2wcCpwAbbX+Bqofss7Yn2n5dOeQzwCbgFcA7gP8t6eSGkG8HPgVMBh4G7qX6WTKdKiH8ZEPdJUAP8PPAccB84L0N++cC3wYOAz7S4jrGAb8HfB94tpT9CrAY+EPgkHLupZLG2z4PeBx4e7m+j0qaDvwL8GFgCnAJcHtj4gb8DvD7pU3jSh2At5TXg0u8B3u1b0qJ/bHSluuAf5F0SBuxI2IflUQrYvg7BHim9OgMxk5gPDBb0ljbG21/q6+KkmYCbwY+aPsnttcCNwLnNVT7ku17S3s+BxwKXGP7ReBWYJakgyUdDrwVWFR64bYAfw2c0xDrSdt/a7vH9vP9tP+dkp4DngfeB7yj4WvxPuCTtlfa3ml7CbADOKGfWOcC99i+x/Yu28uA1cDbGur8o+1vlvbcBhzbT6zeTgM22P5UuZ7PAI9SJaZDjR0RL1NJtCKGv+8DU5vMYWrK9mPAIqqhuS2SbpX0in6qvwLYant7Q9l3qHqrdnu64f3zVEngzobPABOBVwFjgc1lmO45qh6nwxqOf6KNS7jN9sFUc9O+Bry+Yd+rgIt3xy/nmFmuoy+vAs7uVf/NwLSGOk81vP9xuZZ2vILqa9Wo99dusLEj4mUqiVbE8Pcg8BPgrCZ1fgRMaPh8RONO25+2/WaqRMPA/9m9q1ecJ4Epkg5sKHsl8N1BtPsJqt6lqbYPLtsk28c0Nq3dYLafoRoi/HNJuxOjJ4CPNMQ/2PaE0pvUV/wngE/1qn+A7WvaaUKL/U9SfX0bDfZrFxH7iCRaEcOc7R8AHwI+LuksSRMkjZX0VkkfLdXWAm+TNEXSEVQ9WEA1R0vSSZLGUyVsz1MNJ0LVOzVL0qhyrieA/wL+QtJ+ZWL5+VST0Afa7s3AvwF/JWmSpFGSfk7Srw3m61BiPko1J+zSUvR/gT+SNFeVAySd1pAoPg28piHEzcDbJZ0iaXS5xhMlzWjj9N8DdvWK1+ge4LWqluEYI+ldwGzg7gFeZkTsQ5JoRbwM2L4O+ADwZ1T/4T9BNcH9/y1VPgV8BdhIldx8tuHw8cA1wDNUQ1eHUd1tCC8tlfB9SWvK+3cDs6h6aO4ErixzmQbj96gmfX+dagL7P/Ozw3SD8ZfABZIOs72aap7W35X4jwHvaaj7F8CflWHCS0oieSbV9e/+Ov4JbfwstP1jqgn7/1nindBr//eB04GLqYZ7LwVOLz1xETFCyW675z4iIiIiBqC2Hi1JMyXdL2m9pHWSFpbyKZKWSdpQXieX8qMkPShph6Q9bnku3fwPS+q3G17SghJ3g6QFDeUfUbW+zw/ruNaIiIiIvtTWo1Umq06zvabMl3iIajLve6juarpG0mXAZNsflHQY1UTSs4BnbV/bK94HgDnAJNun93G+KVS3ac+hmrT6EPB628+WLv7vUN16nbt8IiIioitq69Gyvdn2mvJ+O7Ce6jbnM6kWMaS8nlXqbLG9Cnixd6wyUfU0qvV8+nMKsMz2VtvPAsuAU0vs/y4TcyMiIiK6piuT4SXNoloVeiVw+O6kp7we1v+RP3U91cTSXU3qTOdn1+TZxM+uXxMRERHRVbUnWpImArdTrQ69bRDHnw5ssf1Qq6p9lGWmf0REROw1g1ppul2SxlIlWbfYvqMUPy1pmu3NZR7XlhZh5gFnSHob1fPeJkm6GfhbXnqm2oeoerBObDhuBrBigO29ALgAYMyME18/ZuoxLY4YoMP7W35n8MZNPrR1pQEaO35sx2P+6NuPdjwmAIe0s/zRwLzqF2Z2POa0aQe2rjRAY8fU83vSt779bMdj/sKRh7SuNEDHvvLgjsdc990B/y7YlkMn7dfxmF/7/77f8Zgzj+j89+kLLzYbiBi8gw4Y1/GYU2qIOWm/0R2PuXNXPX0IH3nra/vqsKjN/se9v5YLef7hv+vqdbRS512HAm4C1pc1gHZbCuy+I3ABcFezOLYvtz3D9iyqZ6TdZ/vc8myzY8u2lGoRw/mSJpc7GeeXsrbZvsH2HNtzOp5kRURExIhTZ4/WPKoH0T4iaW0pu4Jq4cTbJJ0PPA6cDVBWs14NTAJ2SVoEzG53uNH2VklXA6tK0VW2t5bYHwV+B5ggaRNwo+0/78A1RkRExGBoZKyZXluiZfsB+p43BXByH/WfohruaxZzBU2GA20vBhb3UX4pLz2yIyIiIqIrap2jFREREdEnDaupVLUZGf12EREREXtBerQiIiKi+zJHKyIiIqImGTqMiIiIiKFIj1ZERER0X4YOo9Pm//ZbOh6zjtWRn37u+Y7H/NEv1vPYyTce1c6jMgfmsImdXxm/Dt/9wQu1xD13buf/ro4+ZFLHY278wY86HvPXZk3ueEyAr31ve8djnnRk51fGf76n86u4Txzb+ZXRAQ4e3/mffQeMffn8l/ivj31vbzch2vTy+a6KiIgIAD7y1tfu7SYM3QiZo5VEKyIiIrpvhAwdjoyrjIiIiNgL0qMVERER3TdChg7ToxURERFRk/RoRURERPdljtbQSJop6X5J6yWtk7SwlE+RtEzShvI6uZQfJelBSTskXdJHvNGSHpZ0d5NzLihxN0haUMomSPoXSY+WdlxT1zVHREREm6R6tmGmznSyB7jY9tHACcCFkmYDlwHLbR8JLC+fAbYCFwHX9hNvIbC+v5NJmgJcCcwFjgeu3J3EAdfaPgo4Dpgn6a1DurKIiIiINtSWaNnebHtNeb+dKkmaDpwJLCnVlgBnlTpbbK8CXuwdS9IM4DTgxianPAVYZnur7WeBZcCptn9s+/5yjheANcCMDlxiREREDJZG1bMNM11pkaRZVL1JK4HDbW+GKhkD2lna+3rgUqDZssXTgScaPm8qZY3tOBh4O1VPWkREREStak+0JE0EbgcW2d42iONPB7bYfqhV1T7K3BBnDPAZ4GO2vz3QdkREREQHZY7W0EkaS5Vk3WL7jlL8tKRpZf80YEuLMPOAMyRtBG4FTpJ0s6S5ktaW7QyqHqyZDcfNAJ5s+HwDsMH29U3ae4Gk1ZJW9zyzbgBXGhEREbGnOu86FHATsN72dQ27lgILyvsFwF3N4ti+3PYM27OAc4D7bJ9re6XtY8u2FLgXmC9pcpkEP7+UIenDwEHAohbnusH2HNtzxkw9ZsDXHBEREW0aIXO06lxHax5wHvCIpLWl7ArgGuA2SecDjwNnA0g6AlgNTAJ2SVoEzG53uNH2VklXA6tK0VWlbAbwp8CjwJoq/+PvbDebWB8RERF1GoZJUR1qS7RsP0Df86YATu6j/lO0uBvQ9gpgRZP9i4HFvco2NWlHRERERG2yMnxERER036iR0QcyMvrtIiIiIvaC9GhFRERE92WOVkRERERNhuGaV3UYGelkRERExF6QHq2IiIjovgwdRqe9cuoBHY+539jOf6Pu2uXWlQboffNe2fGYUE+X7NhRnY+67YU9npU+ZG+ZeUjHYwJMnTSu4zG3P9/T8Zg/P/nAjsd8dOuAnxLWlrmvmNzxmDt27ux4zDq+9w/ev/PfTwDja/jZ90JPs8fpDt4Pnu/8v/94+UiiFRERUaM3H9n5RHufMELmaCXRioiIiO4bIUOHI+MqIyIiIvaC9GhFRERE942QocP0aEVERETUJD1aERER0X2ZozU0kmZKul/SeknrJC0s5VMkLZO0obxOLuVHSXpQ0g5Jl/QRb7SkhyXd3eScC0rcDZIWNJR/QdJXSjs+IWl0HdccERERbZLq2YaZOtPJHuBi20cDJwAXSpoNXAYst30ksLx8BtgKXARc20+8hcD6/k4maQpwJTAXOB64cncSB7zT9uuAXwQOBc4eyoVFREREtKO2RMv2ZttryvvtVEnSdOBMYEmptgQ4q9TZYnsVsMfKbpJmAKcBNzY55SnAMttbbT8LLANOLbF3r0I4BhgHdH5FzoiIiGifRtWzDTNdaZGkWcBxwErgcNuboUrGgMPaCHE9cCnQbNne6cATDZ83lbLdbbgX2AJsB/65/dZHREREDE7tiZakicDtwKKGnqWBHH86sMX2Q62q9lH2054r26cA04DxwEn9nOsCSaslre55Zt1AmxoRERHtyhytoZM0lirJusX2HaX4aUnTyv5pVL1MzcwDzpC0EbgVOEnSzZLmSlpbtjOoerBmNhw3A3iyMZDtnwBLqYYv92D7BttzbM8ZM/WYAV1rRERERG913nUo4CZgve3rGnYtBXbfEbgAuKtZHNuX255hexZwDnCf7XNtr7R9bNmWAvcC8yVNLpPg5wP3SprYkNiNAd4GPNrBS42IiIiBGiFztOpcR2secB7wiKS1pewK4BrgNknnA49T7gCUdASwGpgE7JK0CJjd7nCj7a2SrgZWlaKrStnhwFJJ44HRwH3AJzpyhRERETE4wzApqkNtiZbtB+h73hTAyX3Uf4pquK9ZzBXAiib7FwOLe5U9DbyheWsjIiIiOi8rw0dERET3DcOJ63UYGf12EREREXtBerQiIiKi+zJHKyIiIqImGTqMiIiI2LdIOlXSNyQ9JumyPva/RdIaST2S3tFr30clrZO0XtLHylJWTSXRioiIiO7bC+toSRoNfBx4KzAbeLek2b2qPQ68B/h0r2PfRLV01S8Dv0i1osGvtbrMDB120Ssnj+94zJ27Ov987LN+4ZUdjzmqpi7iMaM6H/e5HXs813zIZh8+qeMxJ+0/tuMxAX7y4s6Ox5wycVzHYz79g590POYxUw/qeEyAnp3NHtM6OIfU8DWdMK7z/yWMH1PP7/N1jTpt2bajnsAxXBwPPGb72wCSbqV6WszXd1ewvbHs6/0P18B+wDiq5avGAk+3OmESrYiIiOKXZkzc200YOfbOHK3pwBMNnzcBc9s50PaDku4HNlMlWn9ne32r4zJ0GBEREV0nqa7tAkmrG7YLGk/bR1PaGhqS9PPA0VSLq0+nevbyW1odlx6tiIiI2GfYvgG4oZ/dm4CZDZ9nAE+2Gfq3gP+2/UMASf8KnAB8sdlB6dGKiIiIrqurR6uFVcCRkl4taRxwDrC0zSY/DvyapDGSxlJNhM/QYURERASA7R7g/cC9VEnSbbbXSbpK0hkAkt4gaRNwNvBJSevK4f8MfAt4BPgK8BXbn291ztoSLUkzJd1f1ppYJ2lhKZ8iaZmkDeV1cik/StKDknZIuqSPeKMlPSzp7ibnXFDibpC0oI/9SyV9rZPXGREREYOgmrYWbN9j+7W2f872R0rZh2wvLe9X2Z5h+wDbh9g+ppTvtP2Hto+2Pdv2B9q5zDp7tHqAi20fTTWGeWFZq+IyYLntI4Hl5TPAVuAi4Np+4i2kSRedpCnAlVR3DxwPXLk7iSv7/wfwwyFdUURERMQA1JZo2d5se015v50qSZpOtV7FklJtCXBWqbPF9ipgj0WMJM0ATgNubHLKU4BltrfafhZYBpxajp8IfAD4cAcuLSIiIoZoL83R6rqu3HUoaRZwHLASONz2ZqiSMUmHtRHieuBS4MAmdfpaG2N6eX818FfAjwfU8IiIiKjFcEyK6lD7ZPjSm3Q7sMj2tkEcfzqwxfZDrar2UWZJxwI/b/vOgZ47IiIiYihqTbTK7Y+3A7fYvqMUPy1pWtk/DdjSIsw84AxJG4FbqRYIu1nSXElry3YG/a+N8Ubg9eX4B4DXSlrRT3t/ushZzzPr+qoSERERHTBShg7rvOtQwE3AetvXNexaCuy+I3ABcFezOLYvL7P/Z1Gtd3Gf7XNtr7R9bNmWUt2qOV/S5DIJfj5wr+1/sP2KcvybgW/aPrGfc91ge47tOWOmHjPoa4+IiIiAeudozQPOAx6RtLaUXQFcA9wm6Xyqxb/OBpB0BLAamATskrQImN3ucKPtrZKuplqMDOAq21s7djURERHRMcOx96kOtSVath+g/xUtTu6j/lNUw33NYq4AVjTZvxhY3GT/RuAXm50jIiIiumBk5FlZGT4iIiKiLnmodERERHTdSBk6TI9WRERERE3SoxURERFdN1J6tJJoRURERNeNlEQrQ4cRERERNUmPVkRERHTdSOnRSqLVRc+/uKvjMU981ZSOx5y4Xw3fFu58SIBtP+npeMxXTZ7Q8ZgHTRjb8Zg9O+v5oo4d3fmO7me27+h4zEMmju94zG3Pv9jxmAD7jxvd8ZgTx3f+3+m4MZ3/ux81qr7/THftqukHS0QHJdGKiIiXpcMndf4XmOiikdGhlTlaEREREXVJj1ZERER0XeZoRURERNRkpCRaGTqMiIiIqEltiZakmZLul7Re0jpJC0v5FEnLJG0or5NL+VGSHpS0Q9IlfcQbLelhSXc3OeeCEneDpAUN5SskfUPS2rIdVsc1R0RERHsk1bINN3X2aPUAF9s+GjgBuFDSbOAyYLntI4Hl5TPAVuAi4Np+4i0E1vd3MklTgCuBucDxwJW7k7jid20fW7YtQ7iuiIiIiLbUlmjZ3mx7TXm/nSpJmg6cCSwp1ZYAZ5U6W2yvAvZYyEbSDOA04MYmpzwFWGZ7q+1ngWXAqR26nIiIiOgk1bQNM12ZDC9pFnAcsBI43PZmqJKxNofxrgcuBQ5sUmc68ETD502lbLd/lLQTuB34sO2sdBcREbGXDMdhvjrUPhle0kSq5GaR7W2DOP50YIvth1pV7aNsdzL1u7Z/CfjVsp030HZEREREDFStiZaksVRJ1i227yjFT0uaVvZPA1rNl5oHnCFpI3ArcJKkmyXNbZjcfgZVD9bMhuNmAE8C2P5ued0OfJpqDldf7b1A0mpJq3ueWTeIK46IiIh2ZDL8EKm62puA9bava9i1FNh9R+AC4K5mcWxfbnuG7VnAOcB9ts+1vbJhcvtS4F5gvqTJZRL8fOBeSWMkTS1tGgucDnytn3PdYHuO7Tljph4z6GuPiIiIgHrnaM2jGqJ7RNLaUnYFcA1wm6TzgceBswEkHQGsBiYBuyQtAma3O9xoe6ukq4FVpeiqUnYAVcI1FhgN/DvwfztyhRERETEow7H3qQ61JVq2H6D/+f8n91H/KarhvmYxVwArmuxfDCzuVfYj4PXNWxsRERHdNFISrawMHxEREVGTPOswIiIium9kdGilRysiIiKiLunRioiIiK7LHK2IiIiIGJL0aEVERETXjZQerSRaXfS6IyZ2POahB47veMxxozvf0fnsj/Z4VnhHTJ+8f8djHjppXMdj9uzs/KM1x4yu54fU97e/0PGYkyd2/mv6kxd3djzmhPGjOx4TYPyYzsfdf1znY44fW88gx09e3FVL3Hh5S6IVERHRAYdOzH81MXLluz8iIiK6b2R0aGUyfERERERd0qMVERERXZc5WhERERE1GSmJVoYOIyIiImpSW6Ilaaak+yWtl7RO0sJSPkXSMkkbyuvkUn6UpAcl7ZB0SR/xRkt6WNLdTc65oMTdIGlBQ/k4STdI+qakRyX9dh3XHBEREe2RVMs23NTZo9UDXGz7aOAE4EJJs4HLgOW2jwSWl88AW4GLgGv7ibcQWN/fySRNAa4E5gLHA1fuTuKAPwW22H4tMBv4j6FcWEREREQ7aku0bG+2vaa8306VJE0HzgSWlGpLgLNKnS22VwF7rGwpaQZwGnBjk1OeAiyzvdX2s8Ay4NSy7w+Avyjn2WX7mSFeXkRERAxBerQ6SNIs4DhgJXC47c1QJWPAYW2EuB64FGi2vPB04ImGz5uA6ZIOLp+vlrRG0uckHT6wK4iIiIiOUk3bMFN7oiVpInA7sMj2tkEcfzrVsN9Drar2UWaqOytnAP9p+1eAB+l/eDIiIiKiY2pNtCSNpUqybrF9Ryl+WtK0sn8asKVFmHnAGZI2ArcCJ0m6WdJcSWvLdgZVD9bMhuNmAE8C3wd+DNxZyj8H/Eo/7b1A0mpJq3ueWTfQy42IiIg2ZehwiFRd7U3AetvXNexaCuy+I3ABcFezOLYvtz3D9izgHOA+2+faXmn72LItBe4F5kuaXCbBzwfutW3g88CJJeTJwNf7OdcNtufYnjNm6jGDueyIiIiIn6pzwdJ5wHnAI5LWlrIrgGuA2ySdDzwOnA0g6QhgNTAJ2CVpETC73eFG21slXQ2sKkVX2d5a3n8Q+JSk64HvAb8/5KuLiIiIQRuOvU91qC3Rsv0A/U9LO7mP+k9RDfc1i7kCWNFk/2JgcR/l3wHe0ix2RERERKflETwRERHRdSOkQyuJVkRERHTfSBk6zLMOIyIiImqSHq2IiIjouhHSoZUerYiIiIi6pEcrIiIium6kzNFKotVF0ydO6HjM/ceO7njMF3e64zEnTxzb8ZgAB+7X+W/hnhquf/Sozv9AeWb7Cx2PCXDg/p3/mtbxPTV+zMunQ36/Gv6d1hETwHT+7yqiLyMkz0qiFRERLzlw/MsngY14OUiiFREREV03qoae/uEov7pERERE1CQ9WhEREdF1maMVERERUZORctdhhg4jIiIialJboiVppqT7Ja2XtE7SwlI+RdIySRvK6+RSfpSkByXtkHRJH/FGS3pY0t1NzrmgxN0gaUEpO1DS2obtGUnX13XdERER0ZpUzzbc1Nmj1QNcbPto4ATgQkmzgcuA5baPBJaXzwBbgYuAa/uJtxBY39/JJE0BrgTmAscDV0qabHu77WN3b8B3gDuGfnkRERERzdWWaNnebHtNeb+dKkmaDpwJLCnVlgBnlTpbbK8CXuwdS9IM4DTgxianPAVYZnur7WeBZcCpveIcCRwGfGkIlxYRERFDJKmWbbjpyhwtSbOA44CVwOG2N0OVjFElPq1cD1wK7GpSZzrwRMPnTaWs0buBz9rO0scRERFRu9oTLUkTgduBRba3DeL404Etth9qVbWPst4J1TnAZ5qc6wJJqyWt7nlm3QBbGhEREe1Kj1YHSBpLlWTdYnv3vKinJU0r+6cBW1qEmQecIWkjcCtwkqSbJc1tmOB+BlUP1syG42YATza05XXAmGYJm+0bbM+xPWfM1GMGdrERERHRtkyGHyJVaeVNwHrb1zXsWgosKO8XAHc1i2P7ctszbM+i6pG6z/a5tlc2THJfCtwLzJc0udzJOL+U7fZumvRmRURERHRanQuWzgPOAx6RtLaUXQFcA9wm6XzgceBsAElHAKuBScAuSYuA2e0ON9reKulqYFUpusr21oYq7wTeNsRrioiIiA4YjsN8dagt0bL9AH3PmwI4uY/6T1EN9zWLuQJY0WT/YmBxP/te0yx2RERERKflETwRERHRdSOkQyuP4ImIiIju21t3HUo6VdI3JD0m6bI+9r9F0hpJPZLe0WvfzoYb8Za2c53p0YqIiIgRQdJo4OPAb1KtVrBK0lLbX2+o9jjwHmCPxwECz5enzLQtiVZERER03V4aOjweeMz2t6s26FaqJ9b8NNGyvbHsa7ZIetsydBgRERH7jMbFx8t2QcPudp4i08x+JeZ/SzqrnQPSoxURERFdV9fyDrZvAG7o77R9HTKA8K+0/aSk1wD3SXrE9reaHZBEq4t29OzseMwf7eh8zAP2G93xmPuN7XxMgJ27Ov/YSg/o31x7nv7BHs9KH7IDxtfzNX2hp4avaQ2PFx03pvMd8qNq+sE/voa22h4x6xDFvmkvffs2fYpMK7afLK/flrSC6jnOSbQiIvZFE8cn0YoYoFXAkZJeDXyX6okzv9POgeWpMz+2vUPSVKqF2T/a6rgkWhEREdF1e6NH1naPpPdTPaJvNLDY9jpJVwGrbS+V9AbgTmAy8HZJ/8v2McDRwCfLJPlRwDW97lbsUxKtiIiIGDFs3wPc06vsQw3vV9HHk2ps/xfwSwM9XxKtiIiI6LqRMsUwyztERERE1KS2REvSTEn3S1ovaZ2khaV8iqRlkjaU18ml/ChJD0raIWmP1VgljZb0sKS7m5xzQYm7QdKChvJ3S3pE0lclfaFMYouIiIi9ZG89gqfb6uzR6gEutn00cAJwoaTZwGXActtHAsvLZ4CtwEXAtf3EWwis7+9kkqYAVwJzqVZ+vVLSZEljgL8Bft32LwNfBd4/1IuLiIiIwZPq2Yab2hIt25ttrynvt1MlSdOplrpfUqotAc4qdbaUCWh7LDgkaQZwGnBjk1OeAiyzvdX2s8Ay4FSqxckEHKAq1Z3EANbMiIiIiBisrkyGlzSLalGvlcDhtjdDlYxJOqyNENcDlwIHNqnT57L6tl+U9MfAI8CPgA3AhQO9hoiIiOic4TjMV4faJ8NLmgjcDiyyvW0Qx58ObLH9UKuqfZRZ0ljgj6kSvVdQDR1ePtB2RERERFkjGisAACAASURBVAxUrYlWSXJuB26xfUcpflrStLJ/GrClRZh5wBmSNgK3AidJulnSXElry3YG/S+rfyyA7W+5eg7IbcCb+mnvTx9E2fPMusFcckRERLQhc7SGqMyHuglYb/u6hl1Lgd13BC4A7moWx/bltmfYnkW1VP59ts+1vdL2sWVbSrXK6/wyAX4yML+UfReYLenQEvI36WdSve0bbM+xPWfM1GMGdd0RERHR2ki567DOOVrzgPOARyStLWVXANcAt0k6H3gcOBtA0hHAaqrJ6rskLQJmtzvcaHurpKupnmMEcJXtrSX2/wK+KOlF4DvAezpwfRERERFN1ZZo2X6AvudNAZzcR/2n6GPJ+151VgArmuxfDCzuo/wTwCeaxY6IiIjuGY69T3XIyvARERERNcmzDiMiIqLrRkiHVhKtiIiI6L4MHUZERETEkKRHKyIiIrpuhHRopUcrIiIioi7p0YqIiIiuGylztJJoddGoGr6pDhg/uuMxD9p/bMdj7ujZ1fGYAD/p2dnxmM+/0PmYB0/o/Nf0xZ3ueEyAnbs6/3c1ecK4jsccO7rz/56ef7Hzf/cAL+zcxSEH5MdtRKMRkmdl6DAiIiKiLvkVKyIiIrqujlGe4Sg9WhERERE1SY9WREREdN0I6dBKj1ZEREREXWpLtCTNlHS/pPWS1klaWMqnSFomaUN5nVzKj5L0oKQdki7pI95oSQ9LurvJOReUuBskLWgof5ekr5Z2fLSO642IiIj2SaplG27q7NHqAS62fTRwAnChpNnAZcBy20cCy8tngK3ARcC1/cRbCKzv72SSpgBXAnOB44ErJU2WdAjwl8DJto8BDpd08pCvLiIiIgZtlOrZhpvaEi3bm22vKe+3UyVJ04EzgSWl2hLgrFJni+1VwIu9Y0maAZwG3NjklKcAy2xvtf0ssAw4FXgN8E3b3yv1/h347SFeXkRERERLXZkML2kWcBywEjjc9maokjFJh7UR4nrgUuDAJnWmA080fN5Uyr4AHFXasIkqsev86okRERHRtuE4zFeH2ifDS5oI3A4ssr1tEMefDmyx/VCrqn2UufRu/THwWeBLwEaqYc2IiIiIWtWaaEkaS5Vk3WL7jlL8tKRpZf80YEuLMPOAMyRtBG4FTpJ0s6S5ktaW7Qyq3qqZDcfNAJ4EsP1523NtvxH4BrChn/ZeIGm1pNU9z6wb1DVHREREa1I923BT512HAm4C1tu+rmHXUmD3HYELgLuaxbF9ue0ZtmcB5wD32T7X9krbx5ZtKXAvML9MgJ8MzC9l7B6eLOX/k37metm+wfYc23PGTD1mkFceERERraimP8NNnXO05gHnAY9IWlvKrgCuAW6TdD7wOHA2gKQjgNXAJGCXpEXA7HaHG21vlXQ1sKoUXWV7a3n/N5Je11D+zSFeW0RERERLtSVath+g73lTAHssr2D7KarhvmYxVwArmuxfDCzuo/zdzeJGREREdw3HpRjqkJXhIyIiImqSZx1GRERE142U5R2SaEVERETXjZA8K0OHEREREXVJj1ZERER03agR0qWVHq2IiIiImqRHq4sOnjC24zEnH9D5xzY+9+M9nus9ZD07d3U8JsDzL+zseMypB47veMwXa7j+un4XnFLD99Quu+Mxd/R0PuYoqZa2RsSeRkiHVhKtiIhGhxyQH4sR0Tn5iRIRERFdl+UdIiIiImoyQvKs9hItSYcC7wNmNR5j+w/qaVZERETEy1+7PVp3AV8C/h3o/OzjiIiIGFFGyvIO7SZaE2x/sNaWREREROxj2l1H625JbxtIYEkzJd0vab2kdZIWlvIpkpZJ2lBeJ5fyoyQ9KGmHpEv6iDda0sOS7m5yzi9Ieq53HUmvlrSynPOzkjp//3pERES0TTVtw03TREvSdknbgIVUydbzkrY1lDfTA1xs+2jgBOBCSbOBy4Dlto8ElpfPAFuBi4Br+4m3EFjf4px/CZzXR/n/Af66nPNZ4PwWcSIiIqJGkmrZhpumiZbtA21PKq+jbO/f8HlSi2M3215T3m+nSpKmA2cCS0q1JcBZpc4W26uAPVbLlDQDOA24scU5lwPbex0r4CTgn3ufMyIiIqJObQ0dSlreTlmT42cBxwErgcNtb4YqGQMOayPE9cClwGCW1z4EeM52T/m8iSrhi4iIiL1klOrZhpumk+El7QccAEwtc6l2X8Ik4BXtnEDSROB2YJHtbQPt1pN0OrDF9kOSThzQwSVEH2V5xkZERETUrlWP1h8Cq4GjgIcatruAj7cKLmksVZJ1i+07SvHTkqaV/dOALS3CzAPOkLQRuBU4SdLNkuZKWlu2M5oc/wxwsKTdSeUM4Ml+2nuBpNWSVvc8s67V5UVERMQgZY4WYPtvbL8auMT2a2y/umyvs/13zY4tc6NuAtbbvq5h11JgQXm/gCppa9aGy23PsD0LOAe4z/a5tlfaPrZsS5scb+B+4B2tzmn7BttzbM8ZM/WYZs2KiIiIIZDq2YabttbRsv23kt7EnivD/1OTw+ZR3QH4iKS1pewK4BrgNknnA48DZwNIOoKq92wSsEvSImC27VZ3N/6UpC9R9b5NlLQJON/2vcAHgVslfRh4mCoBjIiIiKhVu4/g+RTwc8BaXloZ3kC/iZbtB+h/SYuT+6j/FNWwXr9srwBWNNn/q/2Ufxs4vlnsiIiI6J7hOMxXh3ZXhp9D1buUSeQRERERbWo30foacASwuca2RERExAgxHJdiqEO7idZU4OuSvgzs2F1ou9ndfhEREREjWruJ1p/X2YiIiIgYWTJHq4Ht/5B0OPCGUvRl263Wv4qIiIjo08hIs9p/BM87gS9TLcXwTmClpHc0PyoiIiJiZGt36PBPgTfs7sWSdCjw77z0oOZow8T92v1yt++FnsE8/rG5MaM7/3vG93+4x7PCO2LmIRM6HnPzsz/peMyDJozteMzJB3Q+JsCoGrrzx9Q063VHDd//EdEddfysGY7a/Z9/VK+hwu/TZm9YRERdJk8YvbebEBHRVLuJ1hck3Qt8pnx+F3BPPU2KiIiIfd0I6dBqezL8n0j6barH6gi4wfadtbYsIiIi9lm567AX27cDt9fYloiIiIh9StNES9J2qmca7rELsO1JtbQqIiIi9mkjpEOrZY/WcqpH79wBfNb2d+pvUkRERMS+oemdg7bPAk4BvgfcIOk/JP1PSVNaBZY0U9L9ktZLWidpYSmfImmZpA3ldXIpP0rSg5J2SLqkj3ijJT0s6e4m5/yCpOd615H0fkmPSbKkqa3aHhEREfUaJdWyDTctl2iw/QPb/wi8FfgEcBXwnjZi9wAX2z4aOAG4UNJs4DJgue0jqXrMLiv1twIXAdf2E28hsL7FOf8SOK+P8v8EfgNIj1xERMQwINWzDTctEy1Jb5L0t8AaqrsOf8v2da2Os73Z9pryfjtVkjQdOBNYUqotAc4qdbbYXgXssbKlpBnAacCNLc65HNjeR/nDtje2anNEREREJ7WaDL8ReA64FbiAqpcKSb8CsDuRakXSLOA4YCVwuO3N5fjNkg5rI8T1wKXAge2cLyIiIoa3LO9Q2Uh11+EpwHx+9hmQBk5qdQJJE6mWhVhke9tAv7CSTge22H5I0okDOniAJF1AlVAyZsaJjJl6TJ2ni4iIiH1c00TL9okAkvaz/TMPgJO0X6vgksZSJVm32L6jFD8taVrpzZoGbOk/AlANV54h6W3AfsAkSTcDfwt8stT5kO2lrdrTiu0bgBsA9j/u/X0taxEREREdMFKe49fudf5Xm2U/parr6iZgfa85XUuBBeX9AuCuZnFsX257hu1ZwDnAfbbPtb3S9rFlG3KSFREREfs+SadK+kZZjeCyPva/RdIaST2S3tFQfmxZHWGdpK9Kelc752s1R+sIqgns+0s6jpeGDicBE1rEnkd1B+AjktaWsiuAa4DbJJ0PPA6c3XCu1SX2LkmLgNm2t7VzISXGl4CjgImSNgHn275X0kVUc7yOAL4q6R7b7203bkRERHTW3pijJWk08HHgN4FNwCpJS21/vaHa41SrK/ReaurHwO/Z3iDpFcBDku61/Vyzc7aao3VKOdkM4K94KdHaRpU09cv2A/zsnK5GJ/dR/6lynmYxVwArmuz/1X7KPwZ8rFnsiIiI6J5Re2cu/PHAY7a/DSDpVqrVEH6aaO1epUDSrsYDbX+z4f2TkrYAh1LdNNivVnO0lkj6FPBu27cM6FIiIiIihpfpwBMNnzcBcwcaRNLxwDjgW63qtrNg6S7gDwfaiIiIiIj+jFI9m6QLJK1u2C5oOG1f/WgDuvmt3Mj3KeD3S47UVKuhw92WlcfifBb40U9bZm8dSOMiIiIi6tS4gkAfNgEzGz7PAJ5sN7akScC/AH9m+7/bOabdROsPyuuFDWUGXtNu4yIiIiJ220sLlq4CjpT0auC7VKsZ/E47B0oaB9wJ/JPtz7V7wrYSLduvbjdgRERERCt7YzK87R5J7wfuBUYDi22vk3QVsNr2UklvoEqoJgNvl/S/bB8DvBN4C3CIpPeUkO+xvXbPM72krUSrLDz6x+UEUN3590nbezyXMCIiImK4sn0PcE+vsg81vF9FH6sg2L4ZuHmg52t36PAfgLHA35fP55WyrEU1AC/0tJwzN2Cja/iV4Mc7dnY85qsPPaDjMQG+88yPOx7z4AljOx7zoAnt/lNrXx1/93XG3bUrD1uIiJeMkEcdtp1ovcH26xo+3yfpK3U0KCL2TRPGjZCfqhERDdpNtHZK+jnb3wKQ9Bqg890eERERMSKMGiFdWu0mWn8C3C/p21RrULwK+P3aWhURERH7tJHyUOl27zpcLulI4BeoEq1Hbe+otWURERERL3MDmaH7emBWOeZ1krD9T7W0KiIiIvZpI2TksL2eu/K8w2uBNwNvKNucFsfMlHS/pPWS1klaWMqnSFomaUN5nVzKj5L0oKQdZRX63vFGS3pY0t1NzvkFSc/1riPpFknfkPQ1SYvLchURERERtWq3R2sOMNv2QO7P7gEutr1G0oHAQ5KWAe8Bltu+RtJlwGXAB4GtwEXAWf3EWwisByY1OedfAhPY89mMtwDnlvefplqW4h8GcC0RERHRQSNlMny7c9G+BhwxkMC2N9teU95vp0qSpgNnAktKtSWUxMr2lrJI2B6LoEqaAZwG3NjinMuB7X2U3+MC+DJ9LEQWERER0WlNe7QkfZ7qmYYHAl+X9GXgp5PgbZ/RzkkkzQKOA1YCh9veXI7fLOmwNkJcD1xa2jFoZcjwPKresYiIiNhLRkiHVsuhw2uHegJJE4HbgUW2tw30IZKSTge22H5I0olDbM7fA1+0/aUhxomIiIgh2BvPOtwbmg4d2v6P3RvwKFWP0oHA+lLWVOlBuh24xfYdpfhpSdPK/mnAlhZh5gFnSNoI3AqcJOlmSXMlrS1by541SVcChwIfaFLnAkmrJa3ueWZdq5ARERERTbV71+E7qeY2nU319OqVkt7R4hgBN1ElZdc17FoKLCjvFwB3NYtj+3LbM2zPAs4B7rN9ru2Vto8t29IWbXkvcArwbtv9PnDQ9g2259ieM2bqMc1CRkRExBCMkmrZhpt27zr8U6rnHW4BkHQo8O/APzc5Zh7VfKhHJK0tZVcA1wC3STofeJwqeUPSEcBqqrsKd0laRHWn47Z2L0bSl4CjgImSNgHn274X+ATwHeDBMnR5h+2r2o0bERERMRjtJlqjdidZxfdpPez4ANUq8n05uY/6T9HibkDbK4AVTfb/aj/lA1mYNSIiImo2DDufatFuAvIFSfcCnymf3wXcU0+TIiIiYl83UibDt1re4eeplmP4E0n/g2pleAEPUi0CGhERERH9aNWjdT3VvCrKXYN3AEiaU/a9vdbWRURExD5J/c4u2re0uutwlu2v9i60vZrqAdMRERER0Y9WPVr7Ndm3fycbEhERESPHSJmj1apHa5Wk9/UuLEszPFRPkyIiImJfN0r1bMNNqx6tRcCdkn6XlxKrOcA44LfqbNi+6Ps/fKHjMQ+eMLbjMSfVEHNHzy6+9fQPOx73sEnNOl0HZ79xozsec3QN9zHv2mV2ueNhGT0cf1JFRLxMNU20bD8NvEnSrwO/WIr/xfZ9tbcs9il1JFkjXR1JFsCOF3dx0P5tPTQiImLQBvrs45erttbRsn0/cH/NbYmIiIjYp2TF9IiIiOi6kTJLIeMDERERETVJj1ZERER03QiZopVEKyIiIrpv1AjJtGobOpQ0U9L9ktZLWidpYSmfImmZpA3ldXIpP0rSg5J2SLqkV6yNkh6RtFbS6ibnPFXSNyQ9JumyhvL3lzJLmlrXNUdEREQ0qnOOVg9wse2jgROACyXNBi4Dlts+ElhePgNsBS4Cru0n3q/bPtb2nL52ShoNfBx4KzAbeHc5H8B/Ar8BfGfolxURERFDNVIWLK0t0bK92faa8n47sB6YDpwJLCnVlgBnlTpbbK8CXhzkKY8HHrP9bdsvALeWc2H7YdsbB3stEREREYPRlbsOJc0CjgNWAofb3gxVMgYc1kYIA/8m6SFJF/RTZzrwRMPnTaUsIiIihhmpnm24qX0yvKSJwO3AItvbBrkS7DzbT0o6DFgm6VHbX+x9qj6Oq2nt7IiIiBiKUX3+t73vqbVHS9JYqiTrFtt3lOKnJU0r+6cBW1rFsf1ked0C3AkcXybbry3bH1H1YM1sOGwG8OQA23uBpNWSVvc8s24gh0ZERETsoc67DgXcBKy3fV3DrqXAgvJ+AXBXizgHSDpw93tgPvA120+UyfHH2v4EsAo4UtKrJY0DzinnapvtG2zPsT1nzNRjBnJoREREDECGDoduHnAe8IiktaXsCuAa4DZJ5wOPA2cDSDoCWA1MAnZJWkR19+BU4M4y5DgG+LTtL/Q+me0eSe8H7gVGA4ttryuxLwIuBY4AvirpHtvvreeyIyIiIiq1JVq2H6DveVMAJ/dR/ymq4b7etgGva/Oc9wD39FH+MeBj7cSIiIiI+g3HpRjqkJXhIyIiouuyMnxEREREDEl6tCIiIqLrRkiHVnq0IiIiIuqSHq2IiIjouszRioiIiIghSY9WF724c1fHY44b0/lcedvzg32ud/+OOGi/jscEmLT/2I7HHDum879lja7hPubRwIs785SpiHh5GiEdWkm0Il7ODto/ndIR8fI0Un56jZTrjIiIiOi69GhFRERE12mEjB2mRysiIiKiJunRioiIiK4bGf1ZSbQiIiJiL8g6WkMkaaak+yWtl7RO0sJSPkXSMkkbyuvkUn6UpAcl7ZB0Sa9YGyU9ImmtpNVNznmqpG9IekzSZQ3lt5Tyr0laLKnzawJERERE9FLnHK0e4GLbRwMnABdKmg1cBiy3fSSwvHwG2ApcBFzbT7xft32s7Tl97ZQ0Gvg48FZgNvDucj6AW4CjgF8C9gfeO9SLi4iIiMFTTdtwU1uiZXuz7TXl/XZgPTAdOBNYUqotAc4qdbbYXgUMdrXM44HHbH/b9gvAreVc2L7HBfBlYMYgzxERERHRtq7cdShpFnAcsBI43PZmqJIx4LA2Qhj4N0kPSbqgnzrTgScaPm8qZY3tGAucB3xhIO2PiIiIzpLq2Yab2ifDS5oI3A4ssr1tkOtmzLP9pKTDgGWSHrX9xd6n6uO43s8n+Xvgi7a/NJhGRERERGdkHa0OKD1ItwO32L6jFD8taVrZPw3Y0iqO7SfL6xbgTuD4Mtl+bdn+iKoHa2bDYTOAJxvaciVwKPCBJu29QNJqSat7nlk3kEuNiIiI2EOddx0KuAlYb/u6hl1LgQXl/QLgrhZxDpB04O73wHzga7afKJPjj7X9CWAVcKSkV0saB5xTzoWk9wKnAO+23e+TnW3fYHuO7Tljph4zmMuOiIiINoyqaRtu6hw6nEc1H+oRSWtL2RXANcBtks4HHgfOBpB0BLAamATskrSI6u7BqcCdpYtxDPBp23vMsbLdI+n9wL3AaGCx7d3dUp8AvgM8WOLcYfuqzl9yRERExEtqS7RsP0D/d1qe3Ef9p+j7bsBtwOvaPOc9wD19lGdh1oiIiGEkc7QiIiIiYkjS0xMRERFdNzL6s5JoRURExF6QocOIiIiIGJL0aEVERETXjZSenpFynRERERFdlx6tLjpowtiOxxw9qvNj3PuNGt3xmPuP7XxMqOe5VqphiuaLO83Y0SNjPkJERDtGyhytJFoRXTJh3Mj4oRIR0Y6R8hMxQ4cRERERNUmPVkRERHTdCBk5TI9WRERERF3SoxURERFdN2qEzNJKohURERFdl6HDIZI0U9L9ktZLWidpYSmfImmZpA3ldXIp///bu/9ou8r6zuPvD7kJQsLvCMSQDoxEIVoJGDO0UQRSWWA7gq2MUMuKlTYLFxkIBW3EjsvacRUVsbO6WNJMwWYpFCmQkjopkIm/yhQxIQ0kMSApjSQkkFKwAX8EQj7zx34unl7Pyf1x9j65eD+vu/Y6++y9z/fZ+9x77v3e53n285wg6X5JuyRdNSDWZknrJK2VtHovZZ4t6VFJmyQtatl+o6SHJD0s6XZJk5q67oiIiIh+TfbR2g1caftE4FTgUkkzgEXAStvTgZXlOcCzwGXAtR3inWF7pu1Z7XZKGgdcD5wDzAAuLOUBXGH7JNtvAZ4AFnR/eRERETFSauhrtGks0bK93faasv48sBGYCpwLLCmHLQHOK8fssL0KeGmERc4GNtl+3PaLwK2lLGzvBFA1OtoBgEdYRkRERMSQ9eSuQ0nHAicDDwBH2d4OVTIGHDmEEAbulfSgpPkdjpkKbGl5vrVs6z+HLwFPAScAfz7MS4iIiIgaSc0sg5fbvptRy/79JX217H+g5DBImiDpS6Ur00OSTh/KdTaeaJX+UHcAC/trlkZgju1TqJoFL5V0Wrui2mx7pebK9u8Cr6OqWXt/h3OdL2m1pNW7n9kwwlONiIiIweyHGln2ZpBuRv0uBp6zfTzwBeAzZfvvA9j+ZeBdwOclDZpHNZpoSRpPlWTdbPvOsvlpSVPK/inAjsHi2N5WHncAS4HZpbP92rJcQlWDNa3lZccA2wbEeRn4KvBbHcpZbHuW7Vl9k980nEuNiIiI0a9jN6MWrV2cbgfmlq5HM6j6lvfnIz8E2vYbb9XkXYcCbgQ22r6uZdcyYF5ZnwfcNUiciZIO6l8HzgLW295SOsfPtH0DsAqYLuk4SROAC4Blqhzfck7/FXikviuNiIiI4Wqq6bC1daosrV2O9trNaOAxtncD/w4cATwEnCupT9JxwFv5jxU8bTU5jtYc4CJgnaS1ZdvVwDXAbZIuproD8HwASUcDq4GDgT2SFlJlj5OBpWWW7z7gFtt3DyzM9m5JC4B7gHHATbY3lGq9JZIOpmpefAj4cEPXHBEREfuQ7cXA4g6799rNaJBjbgJOpMpVfgD8I9UIC3vVWKJl+z46T849t83xT1E19w20EzhpiGUuB5YP2LaHKumLiIiIUWIfDVg6aDejlmO2SuoDDgGetW3giv6DJP0j8NhgBWauw4iIiBgr2nYzGnBMaxen9wFft21JB5YuTEh6F7Db9vcGKzBT8ERERETP7YvBRffSzehTwGrby6j6l39Z0iaqwdQvKC8/ErhH0h7gSaruUYNKohURERE9t98+GsS9QzejT7Ss/5TSf3zAMZuBNw63vDQdRkRERDQkNVoRERHRc6NxXsImpEYrIiIioiGp0eqhXS/tqT3my/vXPz/2fg00nL+8p5l5vCf01f+/wst7zLh91XkgImKM2EfDO/RcEq2INg45IJW9ERFNStNhRERERHQlNVoRERHRc2Olh0ZqtCIiIiIakhqtiIiI6Ln00eqSpGmSviFpo6QNki4v2w+XtELSY+XxsLL9BEn3S9ol6aoBsTZLWidpraTVeynzbEmPStokaVGb/X8u6YW6rzUiIiKGR2pmGW2abDrcDVxp+0TgVOBSSTOARcBK29OBleU5VPMJXQZc2yHeGbZn2p7VbqekccD1wDnADODCUl7//lnAod1fVkRERMTQNJZo2d5ue01Zfx7YCEwFzgWWlMOWAOeVY3bYXgW8NMIiZwObbD9u+0Xg1lJWfxL2OeCjI4wdERERNVJDy2jTk87wko4FTgYeAI6yvR2qZIxqNuzBGLhX0oOS5nc4ZiqwpeX51rINYAGwrL/ciIiIiF5ovDO8pEnAHcBC2zs1sgbUOba3SToSWCHpEdvfHlhUm9dZ0uuoZuE+fSQFR0RERP32G40dqhrQaI2WpPFUSdbNtu8sm5+WNKXsnwLsGCyO7W3lcQewFJhdOtuvLcslVDVY01pedgywjaom7Xhgk6TNwIGSNnU43/mSVktavfuZDSO44oiIiIifaaxGS1XV1Y3ARtvXtexaBswDrimPdw0SZyKwn+3ny/pZwKdsbwFmthzXB0yXdBzwJHAB8Nu2NwBHtxz3gu3j25VlezGwGOCAkxc0MzlfREREjMr+VE1osulwDnARsE7S2rLtaqoE6zZJFwNPUDXrIeloYDVwMLBH0kKquwcnA0tLk2MfcIvtuwcWZnu3pAXAPcA44KaSZEVERMRoM0YyrcYSLdv30fltnNvm+KeomvsG2gmcNMQylwPLBzlm0lBiRURERHQrI8NHREREz2Vk+IiIiIjoSmq0IiIioufGyOgOSbQiIiKi98ZInpWmw4iIiIimpEYrIiIiem+MVGkl0eqhH7/4cu0xj6g9IowfV/9P/8tuZvzXn7z0MgeMH9dI7IiIiG4l0YpXvcMnJtGKiHi1GSvDOyTRioiIiJ4bK3cdpjN8RERERENSoxURERE9N0YqtFKjFREREdGU1GhFRERE742RKq3GarQkTZP0DUkbJW2QdHnZfrikFZIeK4+Hle0nSLpf0i5JVw2ItVnSOklrJa3eS5lnS3pU0iZJi1q2/5WkfymvXytpZlPXHREREdGvyRqt3cCVttdIOgh4UNIK8+MNzAAAGQJJREFU4IPAStvXlGRoEfCHwLPAZcB5HeKdYfuZToVJGgdcD7wL2AqskrTM9vfKIR+xfXsdFxYRERHdGSvDOzRWo2V7u+01Zf15YCMwFTgXWFIOW0JJrGzvsL0KeGmERc4GNtl+3PaLwK2lrIiIiBhlpGaW0aYnneElHQucDDwAHGV7O1TJGHDkEEIYuFfSg5LmdzhmKrCl5fnWsq3fpyU9LOkLkvYf5iVEREREDFvjiZakScAdwELbO0cYZo7tU4BzgEslndauqDbb+ud9+RhwAvA24HCqpsqIiIjYR9TQMto0mmhJGk+VZN1s+86y+WlJU8r+KcCOweLY3lYedwBLgdmls31/5/ZLqGqwprW87Big/3XbXdkFfImqmbHd+c6XtFrS6t3PbBjJJUdERES8osm7DgXcCGy0fV3LrmXAvLI+D7hrkDgTS2d6JE0EzgLW295ie2ZZbgBWAdMlHSdpAnBBKYuWxE5UfcLWtyvL9mLbs2zP6pv8ppFdeERERAxujFRpNXnX4RzgImCdpLVl29XANcBtki4GngDOB5B0NLAaOBjYI2khMAOYDCytciT6gFts3z2wMNu7JS0A7gHGATfZ7q+WulnSa6m+BWuBSxq43oiIiBiisXLXYWOJlu376Jxbzm1z/FNUzX0D7QROGmKZy4HlbbafOZTXR0RERNQpI8NHREREz43GoRiakLkOIyIiIhqSGq2IiIjouTFSoZVEKyIiIvaBMZJppekwIiIioiGp0YqIiIiey/AOUbsJ4+qvQJzQV3/MAyaMqz0mwI92vdxI3IiIiNEqiVb0zNRDJ+zrU4iIiFEiwztERERERFdSoxURERE9N0YqtJJoRURExD4wRjKtNB1GRERENCQ1WhEREdFzY2V4h8ZqtCRNk/QNSRslbZB0edl+uKQVkh4rj4eV7SdIul/SLklXDYi1WdI6SWslrd5LmWdLelTSJkmLWrZL0qclfb+cz2VNXXdEREREvyZrtHYDV9peI+kg4EFJK4APAittX1OSoUXAHwLPApcB53WId4btZzoVJmkccD3wLmArsErSMtvfK2VOA06wvUfSkbVcYURERIxIhnfoku3ttteU9eeBjcBU4FxgSTlsCSWxsr3D9irgpREWORvYZPtx2y8Ct5ayAD4MfMr2nv6yRlhGRERE1EANLaNNTzrDSzoWOBl4ADjK9naokjFgKLVLBu6V9KCk+R2OmQpsaXm+tWwDeD3wfkmrJf29pOnDv4qIiIiI4Wm8M7ykScAdwELbOzWyusI5treVJr8Vkh6x/e2BRbV5ncvj/sBPbc+S9JvATcA7RnIiERERUYPRWP3UgEZrtCSNp0qybrZ9Z9n8tKQpZf8UYNBmPNvbyuMOYCkwu3S2X1uWS6hqsKa1vOwYYFtZ31rOg/L6t3Q43/ml1mv17mc2DOdSIyIiIn5Ok3cdCrgR2Gj7upZdy4B5ZX0ecNcgcSaWzvRImgicBay3vcX2zLLcAKwCpks6TtIE4IJSFsDfAmeW9XcC329Xlu3FtmfZntU3+U3DveSIiIgYIjX0Ndo02XQ4B7gIWCdpbdl2NXANcJuki4EngPMBJB0NrAYOBvZIWgjMACYDS0uTYx9wi+27BxZme7ekBcA9wDjgJtv91VLXADdLugJ4Afi9Bq43IiIihmis3HXYWKJl+z46t8DObXP8U1TNfQPtBE4aYpnLgeVttv8Q+PWhxIiIiIioS0aGj4iIiJ4bIxVameswIiIioimp0YqIiIjeGyNVWqnRioiIiGhIarQiIiKi50bjUAxNSKIVERERPZfhHaJ2+4+vv6V2Ql/9MXe/bPrGjZFPQERERIOSaEVbhx4wbl+fQkRE/AIbK//OpzN8RERERENSoxURERG9N0aqtJJoRURERM+NlbsO03QYERER0ZAkWhEREdFzUjPL4OXqbEmPStokaVGb/ftL+mrZ/4CkY1v2vUXS/ZI2SFon6TWDlddYoiVpmqRvSNpYTujysv1wSSskPVYeDyvbTygnv0vSVQNibS4XtFbS6r2U2fbNk/QP5bVrJW2T9LdNXXdERESMTpLGAdcD5wAzgAslzRhw2MXAc7aPB74AfKa8tg/4CnCJ7TcBpwMvDVZmkzVau4ErbZ8InApcWi5mEbDS9nRgZXkO8CxwGXBth3hn2J5pe1a7nXt782y/o7x2JnA/cGctVxgREREjooaWQcwGNtl+3PaLwK3AuQOOORdYUtZvB+ZKEnAW8LDthwBs/5vtlwcrsLFEy/Z222vK+vPARmAq//EClgDnlWN22F7FELLDDgZ98yQdBJwJpEYrIiJiH9pHTYdTgS0tz7eWbW2Psb0b+HfgCOANgCXdI2mNpI8O5Tp70kertG+eDDwAHGV7O1TJGHDkEEIYuFfSg5LmdzhmKG/ee6lq03YO/ewjIiLi1ULSfEmrW5bWvKFdKuaBIToc0we8HfhAeXyvpLmDnU/jwztImgTcASy0vVMjm9xoju1tko4EVkh6xPa3BxbV5nUD37wLgb/cy7nOB+YD9B1zOn2T3zSSc42IiIhBNTO8g+3FwOIOu7cC01qeHwNs63DM1tIv6xCq7k1bgW/ZfgZA0nLgFKpuUB01WqMlaTxVknWz7f5+UU9LmlL2TwF2DBbH9rbyuANYCswune37O7hfwiBvnqQjqJoX/89eyllse5btWUmyIiIifuGsAqZLOk7SBOACYNmAY5YB88r6+4Cv2zZwD/AWSQeWBOydwPcGK7CxGq3ScexGYKPt61p29V/ANeXxrkHiTAT2s/18WT8L+JTtLcDMluP6KG8e8CTVm/fbLaHOB75m+6ddX1xERER0ZWQNXN2xvVvSAqqkaRxwk+0Nkj4FrLa9jCp3+bKkTVQ1WReU1z4n6TqqZM3ActsdK2/6qUrS6ifp7cA/AOuAPWXz1VT9tG4Dfgl4Ajjf9rOSjgZWAweX41+guntwMlUtFlSJ4S22P92hzHcDf8bP3rxPt+z7JnCN7buHcv4HnLyg9jfm/rv+tO6QHHP4AbXHBJg8KZMGRESMMT1NfZ784YuNJCBTD50wqoacb+yvqe376PxN+7nOY7afomruG2gncNIQy1wOLO+w7/ShxIiIiIjmjapsqEGptoiIiIie2xdNh/tCpuCJiIiIaEhqtCIiIqLnNEYaD1OjFREREdGQ1GhFRERE742NCq0kWhEREdF7YyTPSqLVSxP3r//tfu5HL3HYxPG1x42IiIjuJdH6BZDBRSMi4tUmwztERERERFdSFRIRERE9N1aGd0iiFREREb03NvKsNB1GRERENKWxREvSNEnfkLRR0gZJl5fth0taIemx8nhY2X6CpPsl7ZJ01YBYmyWtk7RW0uq9lHm2pEclbZK0qGX7XElryuvvk3R8U9cdERERg1NDy2jTZI3WbuBK2ycCpwKXSpoBLAJW2p4OrCzPAZ4FLgOu7RDvDNszbc9qt1PSOOB64BxgBnBhKQ/gi8AHbM8EbgH+qOuri4iIiBhEY4mW7e2215T154GNwFTgXGBJOWwJcF45ZoftVcBLIyxyNrDJ9uO2XwRuLWUBGDi4rB8CbBthGREREVEDqZlltOlJZ3hJxwInAw8AR9neDlUyJunIIYQwcK8kA39he3GbY6YCW1qebwX+S1n/PWC5pJ8AO6lq2CIiIiIa1XhneEmTgDuAhbZ3jjDMHNunUDULXirptHZFtdnm8ngF8G7bxwBfAq4b4XlEREREDdTQ12jTaKIlaTxVknWz7TvL5qclTSn7pwA7Botje1t53AEsBWaXzvZry3IJVQ3WtJaXHQNsk/Ra4CTbD5TtXwV+tcP5zpe0WtLq3c9sGPb1RkRExNCMlabDJu86FHAjsNF2aw3SMmBeWZ8H3DVInImSDupfB84C1tveUjrHz7R9A7AKmC7pOEkTgAtKWc8Bh0h6Qwn5Lqr+Yj/H9mLbs2zP6pv8ppFcdkRERMQrmuyjNQe4CFgnaW3ZdjVwDXCbpIuBJ4DzASQdDaym6rS+R9JCqrsHJwNLq7yNPuAW23cPLMz2bkkLgHuAccBNtjeU2L8P3CFpD1Xi9aFmLjkiIiLiZ2R78KPGoANOXlD7G/Pw3Z+rOyQA0486oJG4ERExpvS04e25H7/cSAJy2IHjRlUDYqbgiYiIiJ4bjf2pmpBEKyIiInpuNN4h2ITMdRgRERHRkNRoRURERM+NlabD1GhFRERENCQ1WhEREdFzY6RCKzVavfSWsz+yr08hIiJidFBDyyiTGq0ey5hXERERY0cSrYiIiOi5DO8QEREREV1JjVZERET0XIZ3iIiIiIiupEYrIiIiem6MVGg1V6MlaZqkb0jaKGmDpMvL9sMlrZD0WHk8rGw/QdL9knZJumpArM2S1klaK2n1Xso8W9KjkjZJWtSy/UxJayStl7REUhLMiIiIfWmMDO/QZNPhbuBK2ycCpwKXSpoBLAJW2p4OrCzPAZ4FLgOu7RDvDNszbc9qt1PSOOB64BxgBnChpBmS9gOWABfYfjPwA2BeLVcYERERsReNJVq2t9teU9afBzYCU4FzqRIfyuN55ZgdtlcBL42wyNnAJtuP234RuLWUdQSwy/b3y3ErgN8aYRkRERFRAzX0Ndr0pDO8pGOBk4EHgKNsb4cqGQOOHEIIA/dKelDS/A7HTAW2tDzfWrY9A4yX1F8T9j5g2nCvISIiImK4Gu+rJGkScAew0PZOjex+zjm2t0k6Elgh6RHb3x5YVJvX2bYlXQB8QdL+wL1UzZoRERGxj4yV4R2w3dgCjAfuAf6gZdujwJSyPgV4dMBrPglctZeYnwSuoqqVWluWS4BfAe5pOe5jwMfavP4s4LYOsecDq8syf4jXOKTjRvDe1R53LMd8NZ1rrv/VEfPVdK6vlpivpnN9tcRsMm6WoS1N3nUo4EZgo+3rWnYt42ed0ecBdw0SZ6Kkg/rXqRKl9ba3uOocP9P2DcAqYLqk4yRNAC4oZVFqwig1Wn8I3NCuLNuLbc8qy+IhXmqnpsxuNRF3LMdsKu6rJWZTccdyzKbijuWYTcUdyzGbjBtD0GTT4RzgImCdpLVl29XANcBtki4GngDOB5B0NFVN0sHAHkkLqe4enAwsLU2OfcAttu8eWJjt3ZIWUNWgjQNusr2h7P6IpN+g6pP2Rdtfb+KCIyIiIlo1lmjZvo/OI1rMbXP8U8AxbY7dCZw0xDKXA8vbbP8I8JGhxIiIiIioS6bg6d5QmxhHQ9yxHLOpuK+WmE3FHcsxm4o7lmM2FXcsx2wybgyBSke5iIiIiKhZarQiIiIiGpJEa4Qk3SRph6T1NcZsOz9kDXFfI+m7kh4qcf+4jrgl9jhJ/yTpazXFG9K8lsOMeaik2yU9Ut7bX6kh5hvLOfYvO8sNHN3GvaJ8j9ZL+mtJr6kh5uUl3oZuzrHdz3ynuUu7jHl+Odc9LQMNdxvzc+X7/7CkpZIOrSHmn5R4ayXdK+l1dZxry76rJFnS5BrO9ZOSnmz5eX13Hecp6b+rml92g6TP1nCeX205x80tN1J1G3empO/0/16RNLuGmCepmp93naS/k3TwMGMOaz7gLmN29ZmKLu3r8SVerQtwGnAK1VATdcWcApxS1g8Cvg/MqCGugEllfTzVCP2n1nTOfwDcAnytpnibgck1f6+WAL9X1icAh9YcfxzwFPCfuowzFfgX4IDy/Dbgg13GfDOwHjiQ6uaX/wtMH2Gsn/uZBz4LLCrri4DP1BDzROCNwDeBWTWd51lAX1n/TE3neXDL+mXADXWca9k+jeoO6h8M9/PQ4Vw/yV7GJxxhzDPKz9P+5fmRdVx7y/7PA5+o6VzvBc4p6+8GvllDzFXAO8v6h4A/GWbMtr/vu/lM7SVmV5+pLN0tqdEaIVcj0z9bc8xO80N2G9e2XyhPx5el6855ko4Bfh34y25jNaX8l3ka1Zhu2H7R9g9rLmYu8M+2f1BDrD7gAEl9VMnRti7jnQh8x/aPbe8GvgW8dySBOvzMt527tJuYtjfafnQk57iXmPeW6wf4Du3vcB5uzJ0tTycygs/UXn6PfAH4aM0xR6xDzA8D19jeVY7ZUUNM4JVxGP8b8Nc1nauphg4COIRhfq46xHwj0D9DybDn0N3L7/sRf6Y6xez2MxXdSaI1Suk/zg9ZR7xxpRp+B7DCdh1x/4zqj8GeGmL1G8q8lsPxn4F/Bb6kqonzL1UNfFunCxjBH4SBbD8JXEs1vtx24N9t39tl2PXAaZKOkHQg1X/zdc71OZK5S/e1DwF/X0cgSZ+WtAX4APCJmmK+B3jS9kN1xGuxoDR13jTcJt4O3gC8Q9IDkr4l6W01xOz3DuBp24/VFG8h8LnyvbqWauaQbq0H3lPWz6eLz5W6nw94sJixDyXRGoU0YH7IOmLaftn2TKr/5GdLenOX5/gbwA7bD9Zxfi3m2D4FOAe4VNJpXcbro6ry/6Ltk4EfUVXH10LVLATvAf6mhliHUf03exzwOmCipN/pJqbtjVRNZSuAu4GHGMNzfUr6ONX131xHPNsftz2txFvQbbySDH+cmpK2Fl8EXg/MpEriP19DzD7gMOBUqnEKbys1UXW4kBr+eWnxYeCK8r26glLD3aUPUf2OepCqme7FkQRp4vd9EzFj5JJojTKSxlN9QG62fWfd8Uuz2TeBs7sMNQd4j6TNwK3AmZK+0mVMbG8rjzuApcCwOq22sRXY2lKDdztV4lWXc4A1tp+uIdavAf9i+19tvwTcCfxqt0Ft32j7FNunUTV/1FVLAPC0pCkA5XFYzUe9JGke8BvAB2zXPa7NLQyz6aiD11Ml2g+Vz9YxwBpVM2eMmO2nyz9be4D/TfefK6g+W3eWrgnfparZHlbH/XZKs/lvAl/tNlaLeVSfJ6j+Ker6+m0/Yvss22+lSgr/ebgxOvy+7+oz1fTfkBi+JFqjSPlvsN38kN3Gfa3KXVaSDqD6g/5INzFtf8z2MbaPpWo6+7rtrmpf1GFeyy7P8ylgi6Q3lk1zge91E3OAOv/zfgI4VdKB5WdhLlUfi67oZ3N9/hLVH7A6awqGNXfpviLpbKp5Tt9j+8c1xZze8vQ9dPmZArC9zvaRto8tn62tVJ2bn+ombv8f7uK9dPm5Kv4WOLPEfwPVjSbP1BD314BHbG+tIVa/bcA7y/qZ1PDPRsvnaj/gj+gwh+5eXl/LfMBDjBn7Uq963f+iLVR/rLYDL1H9Mry4hphvp+qj9DCwtizvriHuW4B/KnHXM4I7eQaJfzo13HVI1Z/qobJsAD5e0/nNpJpH82GqPw6H1RT3QODfgENqfC//mOoP9nrgy5Q7urqM+Q9UyeVDwNwu4vzczzxwBLCS6g/XSuDwGmK+t6zvAp4G7qkh5iZgS8vnalh3CHaIeUf5Pj0M/B1Vp+Ou39MB+zcz/LsO253rl4F15VyXAVNqiDkB+Ep5D9YAZ9Zx7cBfAZfU/HP6duDB8hl4AHhrDTEvp7qr7/tUc/hqmDHb/r7v5jO1l5hdfaaydLdkZPiIiIiIhqTpMCIiIqIhSbQiIiIiGpJEKyIiIqIhSbQiIiIiGpJEKyIiIqIhSbQioiNJR0u6VdI/S/qepOVlzKR2x54u6WtdlvdBSa9ref5NSbOGGeOFwY+KiOiNJFoR0VYZ/HAp8E3br7c9A7gaOKqh8sYBH6Safigi4hdCEq2I6OQM4CXbr4x4bXstcJ+kz0laL2mdpPe3vGaSpNslPSLp5v657yTNLZN6ryuTGu9ftm+W9AlJ91GNsj8LuFnS2jKLwSskvVAmcX5I0nckHVW2HyfpfkmrJP3JgNd8pGx/WNIfl21vK89fU2Yj2NDt3J8REZ0k0YqITt5MNZr2QL9JNdr+SVTTpXyuZYqXk4GFwAyqkf7nSHoN1Wjf77f9y1STEX+4Jd5Pbb/d9leoRvD/gO2Ztn8yoNyJwHdsnwR8G/j9sv1/UU0a/jbglalqJJ0FTKea124m8FZJp9leRTU6+v8EPgt8xXYdU9JERPycJFoRMVxvB/7a1STFTwPfAt5W9n3X9lZXkxevBY4F3kg1Wfb3yzFLgNNa4g118uAXgf4+YA+W2FBNcN4/f+OXW44/qyz/RDVFzAlUiRfAp4B3UdWgfXaI5UdEDFvfvj6BiBi1NgDva7Nde3nNrpb1l6l+x+zteIAfDfF8XvLP5gzrj92v3VxiAv7U9l+02Xc4MAkYD7xmGOcQETEsqdGKiE6+Duwvqb+JDklvA54D3i9pnKTXUtVOfXcvcR4BjpV0fHl+EVUtWDvPAwcN8zz/H3BBWf9Ay/Z7gA9JmlTOfaqkI8u+xcD/AG4GPjPM8iIihiw1WhHRlm1Lei/wZ5IWAT8FNlP1wZoEPERVk/RR209JOqFDnJ9K+l3gbyT1AauAG9odS9WX6wZJPwF+ZYinejlwi6TLgTtayr1X0onA/aVP/gvA70g6G9ht+5Zyp+M/SjrT9teHWF5ExJDpZzXxEREREVGnNB1GRERENCSJVkRERERDkmhFRERENCSJVkRERERDkmhFRERENCSJVkRERERDkmhFRERENCSJVkRERERD/j8ZaVx129yudQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "# Initialize an 8 by 6 inches plot figure\n",
    "plt.figure(figsize=(10, 8))\n",
    "# Add a title\n",
    "plt.title('Customer Retention')\n",
    "# Create the heatmap\n",
    "ax = sns.heatmap(retention, annot=False, cmap='Blues', vmax = 0.2)\n",
    "ax.set_yticklabels(retention.index.strftime('%Y-%m'),fontdict = {'verticalalignment': 'center'})\n",
    "plt.show()\n",
    "\n",
    "## Popraw :\n",
    "#max skali (by maks kolor juz dla 50%\n",
    "#etykiety danych z lewej strony (idealnie: rok i miesiac)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\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>orderID</th>\n",
       "      <th>orderDate</th>\n",
       "      <th>articleID</th>\n",
       "      <th>colorCode</th>\n",
       "      <th>sizeCode</th>\n",
       "      <th>productGroup</th>\n",
       "      <th>quantity</th>\n",
       "      <th>price</th>\n",
       "      <th>rrp</th>\n",
       "      <th>voucherID</th>\n",
       "      <th>voucherAmount</th>\n",
       "      <th>customerID</th>\n",
       "      <th>deviceID</th>\n",
       "      <th>paymentMethod</th>\n",
       "      <th>returnQuantity</th>\n",
       "      <th>spend</th>\n",
       "      <th>price_decrease</th>\n",
       "      <th>CohortMonth</th>\n",
       "      <th>CohortIndex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>534624</td>\n",
       "      <td>a1231962</td>\n",
       "      <td>2014-07-26</td>\n",
       "      <td>i1003744</td>\n",
       "      <td>1854</td>\n",
       "      <td>44</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>39.99</td>\n",
       "      <td>39.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1077594</td>\n",
       "      <td>3</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>0</td>\n",
       "      <td>39.99</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2014-02-01</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>660456</td>\n",
       "      <td>a1419014</td>\n",
       "      <td>2015-01-19</td>\n",
       "      <td>i1001187</td>\n",
       "      <td>1033</td>\n",
       "      <td>36</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>29.99</td>\n",
       "      <td>29.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1108833</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>1</td>\n",
       "      <td>29.99</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2014-03-01</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1940135</td>\n",
       "      <td>a1639907</td>\n",
       "      <td>2015-07-07</td>\n",
       "      <td>i1001125</td>\n",
       "      <td>1003</td>\n",
       "      <td>40</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>20.00</td>\n",
       "      <td>39.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1237761</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>1</td>\n",
       "      <td>20.00</td>\n",
       "      <td>-0.499875</td>\n",
       "      <td>2015-02-01</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>600970</td>\n",
       "      <td>a1484702</td>\n",
       "      <td>2015-03-15</td>\n",
       "      <td>i1001024</td>\n",
       "      <td>1940</td>\n",
       "      <td>38</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>25.00</td>\n",
       "      <td>49.99</td>\n",
       "      <td>v1000476</td>\n",
       "      <td>10.0</td>\n",
       "      <td>c1029463</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>1</td>\n",
       "      <td>25.00</td>\n",
       "      <td>-0.499900</td>\n",
       "      <td>2014-02-01</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          orderID  orderDate articleID  colorCode sizeCode  productGroup  \\\n",
       "534624   a1231962 2014-07-26  i1003744       1854       44           1.0   \n",
       "660456   a1419014 2015-01-19  i1001187       1033       36           4.0   \n",
       "1940135  a1639907 2015-07-07  i1001125       1003       40           3.0   \n",
       "600970   a1484702 2015-03-15  i1001024       1940       38           3.0   \n",
       "\n",
       "         quantity  price    rrp voucherID  voucherAmount customerID  deviceID  \\\n",
       "534624          1  39.99  39.99         0            0.0   c1077594         3   \n",
       "660456          1  29.99  29.99         0            0.0   c1108833         2   \n",
       "1940135         1  20.00  39.99         0            0.0   c1237761         2   \n",
       "600970          1  25.00  49.99  v1000476           10.0   c1029463         2   \n",
       "\n",
       "        paymentMethod  returnQuantity  spend  price_decrease CohortMonth  \\\n",
       "534624           BPRG               0  39.99        0.000000  2014-02-01   \n",
       "660456           BPRG               1  29.99        0.000000  2014-03-01   \n",
       "1940135          BPRG               1  20.00       -0.499875  2015-02-01   \n",
       "600970           BPRG               1  25.00       -0.499900  2014-02-01   \n",
       "\n",
       "         CohortIndex  \n",
       "534624             6  \n",
       "660456            11  \n",
       "1940135            6  \n",
       "600970            14  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coh_train.sample(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            Recency  Frequency  MonetaryValue\n",
      "customerID                                   \n",
      "c1000001          9        186        5123.39\n",
      "c1000002        327         15         859.86\n",
      "c1000003        336          5         175.97\n",
      "c1000004         77          9         251.92\n",
      "c1000005         30         89        3579.26\n"
     ]
    }
   ],
   "source": [
    "today = train['orderDate'].max()\n",
    "\n",
    "# Calculate Recency, Frequency and Monetary value for each customer \n",
    "data_tran = coh_train.groupby(['customerID']).agg({\n",
    "    'orderDate': lambda x: (today - x.max()).days,\n",
    "    'orderID': 'count',\n",
    "    'spend': 'sum'})\n",
    "\n",
    "# Rename the columns \n",
    "data_tran.rename(columns={'orderDate': 'Recency',\n",
    "                         'orderID': 'Frequency',\n",
    "                         'spend': 'MonetaryValue'}, inplace=True)\n",
    "\n",
    "# Print top 5 rows\n",
    "print(data_tran.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calc_association(data,var = 'productGroup'):\n",
    "    grouping = data[['productGroup','articleID','orderID','quantity']].groupby(['orderID',var]).quantity.sum().reset_index()\n",
    "    grouping.columns = ['orderID',var,'check']\n",
    "    grouping = grouping.sort_values('check', ascending = False)\n",
    "    grouping['check'] = 1\n",
    "    \n",
    "    if var == 'articleID':\n",
    "        grouping = grouping.head(500)\n",
    "    \n",
    "    group_piv = grouping.pivot(columns=grouping.columns[1],index='orderID',values='check').fillna(0)\n",
    "    prod = round(pd.DataFrame(np.dot(group_piv.iloc[:,1:].T,group_piv.iloc[:,1:]))/group_piv.shape[0],4)\n",
    "    \n",
    "    table = []\n",
    "    \n",
    "    i = 0\n",
    "    \n",
    "    for c in range(len(prod.columns)):\n",
    "        for r in range(c,len(prod.columns)):\n",
    "            \n",
    "            prod_aa = group_piv.columns[r]\n",
    "            prod_bb = group_piv.columns[c]\n",
    "            prob_aa = prod.iloc[r,r]\n",
    "            prob_ab = prod.iloc[r,c]\n",
    "            prob_bb = prod.iloc[c,c]\n",
    "            \n",
    "            likeliness = prob_ab / prob_aa\n",
    "            association = prob_ab / (prob_aa * prob_bb)\n",
    "    \n",
    "            table.append([prod_aa,prod_bb,prob_aa,prob_ab,prob_bb,likeliness,association])\n",
    "        \n",
    "            tab1 = pd.DataFrame(table)\n",
    "            tab1.columns = ['prod_aa','prod_bb','prob_aa','prob_ab','prob_bb','likeliness','association']\n",
    "            tab1 = tab1[tab1['prod_aa'] != tab1['prod_bb']]\n",
    "            tab2 = tab1.sort_values('association', ascending= False)\n",
    "    return tab2.style.format({'prob_aa':'{:.2%}','prob_ab':'{:.2%}','prob_bb':'{:.2%}','likeliness':'{:.2%}','association':'{:.2}'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:26: RuntimeWarning: invalid value encountered in double_scalars\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:27: RuntimeWarning: invalid value encountered in double_scalars\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387a\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >prod_aa</th>        <th class=\"col_heading level0 col1\" >prod_bb</th>        <th class=\"col_heading level0 col2\" >prob_aa</th>        <th class=\"col_heading level0 col3\" >prob_ab</th>        <th class=\"col_heading level0 col4\" >prob_bb</th>        <th class=\"col_heading level0 col5\" >likeliness</th>        <th class=\"col_heading level0 col6\" >association</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row0\" class=\"row_heading level0 row0\" >145</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow0_col0\" class=\"data row0 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow0_col1\" class=\"data row0 col1\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow0_col2\" class=\"data row0 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow0_col3\" class=\"data row0 col3\" >0.01%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow0_col4\" class=\"data row0 col4\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow0_col5\" class=\"data row0 col5\" >1.04%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow0_col6\" class=\"data row0 col6\" >2.7</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row1\" class=\"row_heading level0 row1\" >128</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow1_col0\" class=\"data row1 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow1_col1\" class=\"data row1 col1\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow1_col2\" class=\"data row1 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow1_col3\" class=\"data row1 col3\" >0.01%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow1_col4\" class=\"data row1 col4\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow1_col5\" class=\"data row1 col5\" >2.56%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow1_col6\" class=\"data row1 col6\" >2.1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row2\" class=\"row_heading level0 row2\" >99</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow2_col0\" class=\"data row2 col0\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow2_col1\" class=\"data row2 col1\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow2_col2\" class=\"data row2 col2\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow2_col3\" class=\"data row2 col3\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow2_col4\" class=\"data row2 col4\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow2_col5\" class=\"data row2 col5\" >13.75%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow2_col6\" class=\"data row2 col6\" >2.0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row3\" class=\"row_heading level0 row3\" >80</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow3_col0\" class=\"data row3 col0\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow3_col1\" class=\"data row3 col1\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow3_col2\" class=\"data row3 col2\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow3_col3\" class=\"data row3 col3\" >0.10%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow3_col4\" class=\"data row3 col4\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow3_col5\" class=\"data row3 col5\" >8.20%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow3_col6\" class=\"data row3 col6\" >1.9</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row4\" class=\"row_heading level0 row4\" >123</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow4_col0\" class=\"data row4 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow4_col1\" class=\"data row4 col1\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow4_col2\" class=\"data row4 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow4_col3\" class=\"data row4 col3\" >0.08%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow4_col4\" class=\"data row4 col4\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow4_col5\" class=\"data row4 col5\" >8.33%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow4_col6\" class=\"data row4 col6\" >1.7</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row5\" class=\"row_heading level0 row5\" >34</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow5_col0\" class=\"data row5 col0\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow5_col1\" class=\"data row5 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow5_col2\" class=\"data row5 col2\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow5_col3\" class=\"data row5 col3\" >1.27%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow5_col4\" class=\"data row5 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow5_col5\" class=\"data row5 col5\" >15.34%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow5_col6\" class=\"data row5 col6\" >1.5</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row6\" class=\"row_heading level0 row6\" >68</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow6_col0\" class=\"data row6 col0\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow6_col1\" class=\"data row6 col1\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow6_col2\" class=\"data row6 col2\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow6_col3\" class=\"data row6 col3\" >0.07%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow6_col4\" class=\"data row6 col4\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow6_col5\" class=\"data row6 col5\" >5.74%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow6_col6\" class=\"data row6 col6\" >1.5</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row7\" class=\"row_heading level0 row7\" >135</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow7_col0\" class=\"data row7 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow7_col1\" class=\"data row7 col1\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow7_col2\" class=\"data row7 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow7_col3\" class=\"data row7 col3\" >0.35%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow7_col4\" class=\"data row7 col4\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow7_col5\" class=\"data row7 col5\" >21.08%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow7_col6\" class=\"data row7 col6\" >1.5</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row8\" class=\"row_heading level0 row8\" >35</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow8_col0\" class=\"data row8 col0\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow8_col1\" class=\"data row8 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow8_col2\" class=\"data row8 col2\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow8_col3\" class=\"data row8 col3\" >0.57%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow8_col4\" class=\"data row8 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow8_col5\" class=\"data row8 col5\" >14.73%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow8_col6\" class=\"data row8 col6\" >1.4</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row9\" class=\"row_heading level0 row9\" >56</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow9_col0\" class=\"data row9 col0\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow9_col1\" class=\"data row9 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow9_col2\" class=\"data row9 col2\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow9_col3\" class=\"data row9 col3\" >1.70%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow9_col4\" class=\"data row9 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow9_col5\" class=\"data row9 col5\" >11.74%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow9_col6\" class=\"data row9 col6\" >1.4</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row10\" class=\"row_heading level0 row10\" >42</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow10_col0\" class=\"data row10 col0\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow10_col1\" class=\"data row10 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow10_col2\" class=\"data row10 col2\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow10_col3\" class=\"data row10 col3\" >2.07%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow10_col4\" class=\"data row10 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow10_col5\" class=\"data row10 col5\" >14.30%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow10_col6\" class=\"data row10 col6\" >1.4</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row11\" class=\"row_heading level0 row11\" >49</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow11_col0\" class=\"data row11 col0\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow11_col1\" class=\"data row11 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow11_col2\" class=\"data row11 col2\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow11_col3\" class=\"data row11 col3\" >0.43%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow11_col4\" class=\"data row11 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow11_col5\" class=\"data row11 col5\" >11.11%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow11_col6\" class=\"data row11 col6\" >1.3</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row12\" class=\"row_heading level0 row12\" >71</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow12_col0\" class=\"data row12 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow12_col1\" class=\"data row12 col1\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow12_col2\" class=\"data row12 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow12_col3\" class=\"data row12 col3\" >0.02%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow12_col4\" class=\"data row12 col4\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow12_col5\" class=\"data row12 col5\" >5.13%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow12_col6\" class=\"data row12 col6\" >1.3</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row13\" class=\"row_heading level0 row13\" >59</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow13_col0\" class=\"data row13 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow13_col1\" class=\"data row13 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow13_col2\" class=\"data row13 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow13_col3\" class=\"data row13 col3\" >0.18%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow13_col4\" class=\"data row13 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow13_col5\" class=\"data row13 col5\" >10.84%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow13_col6\" class=\"data row13 col6\" >1.3</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row14\" class=\"row_heading level0 row14\" >69</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow14_col0\" class=\"data row14 col0\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow14_col1\" class=\"data row14 col1\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow14_col2\" class=\"data row14 col2\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow14_col3\" class=\"data row14 col3\" >0.73%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow14_col4\" class=\"data row14 col4\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow14_col5\" class=\"data row14 col5\" >5.04%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow14_col6\" class=\"data row14 col6\" >1.3</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row15\" class=\"row_heading level0 row15\" >95</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow15_col0\" class=\"data row15 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow15_col1\" class=\"data row15 col1\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow15_col2\" class=\"data row15 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow15_col3\" class=\"data row15 col3\" >0.51%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow15_col4\" class=\"data row15 col4\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow15_col5\" class=\"data row15 col5\" >30.72%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow15_col6\" class=\"data row15 col6\" >1.2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row16\" class=\"row_heading level0 row16\" >13</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow16_col0\" class=\"data row16 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow16_col1\" class=\"data row16 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow16_col2\" class=\"data row16 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow16_col3\" class=\"data row16 col3\" >0.08%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow16_col4\" class=\"data row16 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow16_col5\" class=\"data row16 col5\" >20.51%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow16_col6\" class=\"data row16 col6\" >1.2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row17\" class=\"row_heading level0 row17\" >119</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow17_col0\" class=\"data row17 col0\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow17_col1\" class=\"data row17 col1\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow17_col2\" class=\"data row17 col2\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow17_col3\" class=\"data row17 col3\" >0.83%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow17_col4\" class=\"data row17 col4\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow17_col5\" class=\"data row17 col5\" >5.73%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow17_col6\" class=\"data row17 col6\" >1.2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row18\" class=\"row_heading level0 row18\" >45</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow18_col0\" class=\"data row18 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow18_col1\" class=\"data row18 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow18_col2\" class=\"data row18 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow18_col3\" class=\"data row18 col3\" >0.20%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow18_col4\" class=\"data row18 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow18_col5\" class=\"data row18 col5\" >12.05%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow18_col6\" class=\"data row18 col6\" >1.2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row19\" class=\"row_heading level0 row19\" >67</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow19_col0\" class=\"data row19 col0\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow19_col1\" class=\"data row19 col1\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow19_col2\" class=\"data row19 col2\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow19_col3\" class=\"data row19 col3\" >0.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow19_col4\" class=\"data row19 col4\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow19_col5\" class=\"data row19 col5\" >4.53%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow19_col6\" class=\"data row19 col6\" >1.2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row20\" class=\"row_heading level0 row20\" >83</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow20_col0\" class=\"data row20 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow20_col1\" class=\"data row20 col1\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow20_col2\" class=\"data row20 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow20_col3\" class=\"data row20 col3\" >0.02%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow20_col4\" class=\"data row20 col4\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow20_col5\" class=\"data row20 col5\" >5.13%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow20_col6\" class=\"data row20 col6\" >1.2</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row21\" class=\"row_heading level0 row21\" >30</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow21_col0\" class=\"data row21 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow21_col1\" class=\"data row21 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow21_col2\" class=\"data row21 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow21_col3\" class=\"data row21 col3\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow21_col4\" class=\"data row21 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow21_col5\" class=\"data row21 col5\" >57.83%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow21_col6\" class=\"data row21 col6\" >1.1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row22\" class=\"row_heading level0 row22\" >92</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow22_col0\" class=\"data row22 col0\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow22_col1\" class=\"data row22 col1\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow22_col2\" class=\"data row22 col2\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow22_col3\" class=\"data row22 col3\" >4.17%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow22_col4\" class=\"data row22 col4\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow22_col5\" class=\"data row22 col5\" >28.80%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow22_col6\" class=\"data row22 col6\" >1.1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row23\" class=\"row_heading level0 row23\" >27</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow23_col0\" class=\"data row23 col0\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow23_col1\" class=\"data row23 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow23_col2\" class=\"data row23 col2\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow23_col3\" class=\"data row23 col3\" >8.30%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow23_col4\" class=\"data row23 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow23_col5\" class=\"data row23 col5\" >57.32%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow23_col6\" class=\"data row23 col6\" >1.1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row24\" class=\"row_heading level0 row24\" >29</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow24_col0\" class=\"data row24 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow24_col1\" class=\"data row24 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow24_col2\" class=\"data row24 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow24_col3\" class=\"data row24 col3\" >0.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow24_col4\" class=\"data row24 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow24_col5\" class=\"data row24 col5\" >56.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow24_col6\" class=\"data row24 col6\" >1.1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row25\" class=\"row_heading level0 row25\" >14</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow25_col0\" class=\"data row25 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow25_col1\" class=\"data row25 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow25_col2\" class=\"data row25 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow25_col3\" class=\"data row25 col3\" >0.31%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow25_col4\" class=\"data row25 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow25_col5\" class=\"data row25 col5\" >18.67%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow25_col6\" class=\"data row25 col6\" >1.1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row26\" class=\"row_heading level0 row26\" >114</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow26_col0\" class=\"data row26 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow26_col1\" class=\"data row26 col1\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow26_col2\" class=\"data row26 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow26_col3\" class=\"data row26 col3\" >0.16%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow26_col4\" class=\"data row26 col4\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow26_col5\" class=\"data row26 col5\" >9.64%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow26_col6\" class=\"data row26 col6\" >1.1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row27\" class=\"row_heading level0 row27\" >134</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow27_col0\" class=\"data row27 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow27_col1\" class=\"data row27 col1\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow27_col2\" class=\"data row27 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow27_col3\" class=\"data row27 col3\" >0.06%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow27_col4\" class=\"data row27 col4\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow27_col5\" class=\"data row27 col5\" >15.38%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow27_col6\" class=\"data row27 col6\" >1.1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row28\" class=\"row_heading level0 row28\" >121</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow28_col0\" class=\"data row28 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow28_col1\" class=\"data row28 col1\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow28_col2\" class=\"data row28 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow28_col3\" class=\"data row28 col3\" >0.02%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow28_col4\" class=\"data row28 col4\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow28_col5\" class=\"data row28 col5\" >5.13%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow28_col6\" class=\"data row28 col6\" >1.1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row29\" class=\"row_heading level0 row29\" >105</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow29_col0\" class=\"data row29 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow29_col1\" class=\"data row29 col1\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow29_col2\" class=\"data row29 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow29_col3\" class=\"data row29 col3\" >0.12%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow29_col4\" class=\"data row29 col4\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow29_col5\" class=\"data row29 col5\" >7.23%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow29_col6\" class=\"data row29 col6\" >1.1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row30\" class=\"row_heading level0 row30\" >126</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow30_col0\" class=\"data row30 col0\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow30_col1\" class=\"data row30 col1\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow30_col2\" class=\"data row30 col2\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow30_col3\" class=\"data row30 col3\" >0.18%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow30_col4\" class=\"data row30 col4\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow30_col5\" class=\"data row30 col5\" >1.24%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow30_col6\" class=\"data row30 col6\" >1.0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row31\" class=\"row_heading level0 row31\" >94</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow31_col0\" class=\"data row31 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow31_col1\" class=\"data row31 col1\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow31_col2\" class=\"data row31 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow31_col3\" class=\"data row31 col3\" >0.10%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow31_col4\" class=\"data row31 col4\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow31_col5\" class=\"data row31 col5\" >25.64%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow31_col6\" class=\"data row31 col6\" >1.0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row32\" class=\"row_heading level0 row32\" >44</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow32_col0\" class=\"data row32 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow32_col1\" class=\"data row32 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow32_col2\" class=\"data row32 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow32_col3\" class=\"data row32 col3\" >0.04%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow32_col4\" class=\"data row32 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow32_col5\" class=\"data row32 col5\" >10.26%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow32_col6\" class=\"data row32 col6\" >1.0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row33\" class=\"row_heading level0 row33\" >122</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow33_col0\" class=\"data row33 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow33_col1\" class=\"data row33 col1\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow33_col2\" class=\"data row33 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow33_col3\" class=\"data row33 col3\" >0.08%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow33_col4\" class=\"data row33 col4\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow33_col5\" class=\"data row33 col5\" >4.82%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow33_col6\" class=\"data row33 col6\" >0.99</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row34\" class=\"row_heading level0 row34\" >129</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow34_col0\" class=\"data row34 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow34_col1\" class=\"data row34 col1\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow34_col2\" class=\"data row34 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow34_col3\" class=\"data row34 col3\" >0.02%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow34_col4\" class=\"data row34 col4\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow34_col5\" class=\"data row34 col5\" >1.20%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow34_col6\" class=\"data row34 col6\" >0.99</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row35\" class=\"row_heading level0 row35\" >22</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow35_col0\" class=\"data row35 col0\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow35_col1\" class=\"data row35 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow35_col2\" class=\"data row35 col2\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow35_col3\" class=\"data row35 col3\" >12.52%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow35_col4\" class=\"data row35 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow35_col5\" class=\"data row35 col5\" >49.70%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow35_col6\" class=\"data row35 col6\" >0.99</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row36\" class=\"row_heading level0 row36\" >51</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow36_col0\" class=\"data row36 col0\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow36_col1\" class=\"data row36 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow36_col2\" class=\"data row36 col2\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow36_col3\" class=\"data row36 col3\" >2.05%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow36_col4\" class=\"data row36 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow36_col5\" class=\"data row36 col5\" >8.14%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow36_col6\" class=\"data row36 col6\" >0.98</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row37\" class=\"row_heading level0 row37\" >20</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow37_col0\" class=\"data row37 col0\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow37_col1\" class=\"data row37 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow37_col2\" class=\"data row37 col2\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow37_col3\" class=\"data row37 col3\" >1.89%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow37_col4\" class=\"data row37 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow37_col5\" class=\"data row37 col5\" >48.84%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow37_col6\" class=\"data row37 col6\" >0.97</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row38\" class=\"row_heading level0 row38\" >41</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow38_col0\" class=\"data row38 col0\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow38_col1\" class=\"data row38 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow38_col2\" class=\"data row38 col2\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow38_col3\" class=\"data row38 col3\" >0.12%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow38_col4\" class=\"data row38 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow38_col5\" class=\"data row38 col5\" >9.84%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow38_col6\" class=\"data row38 col6\" >0.96</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row39\" class=\"row_heading level0 row39\" >88</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow39_col0\" class=\"data row39 col0\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow39_col1\" class=\"data row39 col1\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow39_col2\" class=\"data row39 col2\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow39_col3\" class=\"data row39 col3\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow39_col4\" class=\"data row39 col4\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow39_col5\" class=\"data row39 col5\" >24.16%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow39_col6\" class=\"data row39 col6\" >0.96</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row40\" class=\"row_heading level0 row40\" >100</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow40_col0\" class=\"data row40 col0\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow40_col1\" class=\"data row40 col1\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow40_col2\" class=\"data row40 col2\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow40_col3\" class=\"data row40 col3\" >0.32%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow40_col4\" class=\"data row40 col4\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow40_col5\" class=\"data row40 col5\" >6.58%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow40_col6\" class=\"data row40 col6\" >0.96</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row41\" class=\"row_heading level0 row41\" >84</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow41_col0\" class=\"data row41 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow41_col1\" class=\"data row41 col1\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow41_col2\" class=\"data row41 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow41_col3\" class=\"data row41 col3\" >0.07%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow41_col4\" class=\"data row41 col4\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow41_col5\" class=\"data row41 col5\" >4.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow41_col6\" class=\"data row41 col6\" >0.96</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row42\" class=\"row_heading level0 row42\" >19</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow42_col0\" class=\"data row42 col0\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow42_col1\" class=\"data row42 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow42_col2\" class=\"data row42 col2\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow42_col3\" class=\"data row42 col3\" >3.95%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow42_col4\" class=\"data row42 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow42_col5\" class=\"data row42 col5\" >47.71%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow42_col6\" class=\"data row42 col6\" >0.95</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row43\" class=\"row_heading level0 row43\" >102</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow43_col0\" class=\"data row43 col0\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow43_col1\" class=\"data row43 col1\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow43_col2\" class=\"data row43 col2\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow43_col3\" class=\"data row43 col3\" >0.93%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow43_col4\" class=\"data row43 col4\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow43_col5\" class=\"data row43 col5\" >6.42%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow43_col6\" class=\"data row43 col6\" >0.93</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row44\" class=\"row_heading level0 row44\" >72</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow44_col0\" class=\"data row44 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow44_col1\" class=\"data row44 col1\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow44_col2\" class=\"data row44 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow44_col3\" class=\"data row44 col3\" >0.06%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow44_col4\" class=\"data row44 col4\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow44_col5\" class=\"data row44 col5\" >3.61%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow44_col6\" class=\"data row44 col6\" >0.93</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row45\" class=\"row_heading level0 row45\" >58</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow45_col0\" class=\"data row45 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow45_col1\" class=\"data row45 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow45_col2\" class=\"data row45 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow45_col3\" class=\"data row45 col3\" >0.03%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow45_col4\" class=\"data row45 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow45_col5\" class=\"data row45 col5\" >7.69%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow45_col6\" class=\"data row45 col6\" >0.93</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row46\" class=\"row_heading level0 row46\" >18</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow46_col0\" class=\"data row46 col0\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow46_col1\" class=\"data row46 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow46_col2\" class=\"data row46 col2\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow46_col3\" class=\"data row46 col3\" >4.79%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow46_col4\" class=\"data row46 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow46_col5\" class=\"data row46 col5\" >46.73%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow46_col6\" class=\"data row46 col6\" >0.93</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row47\" class=\"row_heading level0 row47\" >37</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow47_col0\" class=\"data row47 col0\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow47_col1\" class=\"data row47 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow47_col2\" class=\"data row47 col2\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow47_col3\" class=\"data row47 col3\" >2.36%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow47_col4\" class=\"data row47 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow47_col5\" class=\"data row47 col5\" >9.37%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow47_col6\" class=\"data row47 col6\" >0.91</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row48\" class=\"row_heading level0 row48\" >23</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow48_col0\" class=\"data row48 col0\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow48_col1\" class=\"data row48 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow48_col2\" class=\"data row48 col2\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow48_col3\" class=\"data row48 col3\" >3.14%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow48_col4\" class=\"data row48 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow48_col5\" class=\"data row48 col5\" >45.71%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow48_col6\" class=\"data row48 col6\" >0.91</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row49\" class=\"row_heading level0 row49\" >65</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow49_col0\" class=\"data row49 col0\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow49_col1\" class=\"data row49 col1\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow49_col2\" class=\"data row49 col2\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow49_col3\" class=\"data row49 col3\" >0.24%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow49_col4\" class=\"data row49 col4\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow49_col5\" class=\"data row49 col5\" >3.49%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow49_col6\" class=\"data row49 col6\" >0.9</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row50\" class=\"row_heading level0 row50\" >64</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow50_col0\" class=\"data row50 col0\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow50_col1\" class=\"data row50 col1\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow50_col2\" class=\"data row50 col2\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow50_col3\" class=\"data row50 col3\" >0.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow50_col4\" class=\"data row50 col4\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow50_col5\" class=\"data row50 col5\" >3.45%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow50_col6\" class=\"data row50 col6\" >0.89</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row51\" class=\"row_heading level0 row51\" >79</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow51_col0\" class=\"data row51 col0\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow51_col1\" class=\"data row51 col1\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow51_col2\" class=\"data row51 col2\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow51_col3\" class=\"data row51 col3\" >0.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow51_col4\" class=\"data row51 col4\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow51_col5\" class=\"data row51 col5\" >3.91%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow51_col6\" class=\"data row51 col6\" >0.89</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row52\" class=\"row_heading level0 row52\" >89</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow52_col0\" class=\"data row52 col0\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow52_col1\" class=\"data row52 col1\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow52_col2\" class=\"data row52 col2\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow52_col3\" class=\"data row52 col3\" >1.97%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow52_col4\" class=\"data row52 col4\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow52_col5\" class=\"data row52 col5\" >22.21%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow52_col6\" class=\"data row52 col6\" >0.88</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row53\" class=\"row_heading level0 row53\" >109</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow53_col0\" class=\"data row53 col0\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow53_col1\" class=\"data row53 col1\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow53_col2\" class=\"data row53 col2\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow53_col3\" class=\"data row53 col3\" >0.38%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow53_col4\" class=\"data row53 col4\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow53_col5\" class=\"data row53 col5\" >7.82%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow53_col6\" class=\"data row53 col6\" >0.88</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row54\" class=\"row_heading level0 row54\" >113</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow54_col0\" class=\"data row54 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow54_col1\" class=\"data row54 col1\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow54_col2\" class=\"data row54 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow54_col3\" class=\"data row54 col3\" >0.03%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow54_col4\" class=\"data row54 col4\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow54_col5\" class=\"data row54 col5\" >7.69%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow54_col6\" class=\"data row54 col6\" >0.87</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row55\" class=\"row_heading level0 row55\" >130</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow55_col0\" class=\"data row55 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow55_col1\" class=\"data row55 col1\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow55_col2\" class=\"data row55 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow55_col3\" class=\"data row55 col3\" >0.01%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow55_col4\" class=\"data row55 col4\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow55_col5\" class=\"data row55 col5\" >1.04%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow55_col6\" class=\"data row55 col6\" >0.85</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row56\" class=\"row_heading level0 row56\" >111</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow56_col0\" class=\"data row56 col0\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow56_col1\" class=\"data row56 col1\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow56_col2\" class=\"data row56 col2\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow56_col3\" class=\"data row56 col3\" >1.09%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow56_col4\" class=\"data row56 col4\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow56_col5\" class=\"data row56 col5\" >7.53%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow56_col6\" class=\"data row56 col6\" >0.85</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row57\" class=\"row_heading level0 row57\" >81</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow57_col0\" class=\"data row57 col0\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow57_col1\" class=\"data row57 col1\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow57_col2\" class=\"data row57 col2\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow57_col3\" class=\"data row57 col3\" >0.54%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow57_col4\" class=\"data row57 col4\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow57_col5\" class=\"data row57 col5\" >3.73%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow57_col6\" class=\"data row57 col6\" >0.85</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row58\" class=\"row_heading level0 row58\" >52</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow58_col0\" class=\"data row58 col0\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow58_col1\" class=\"data row58 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow58_col2\" class=\"data row58 col2\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow58_col3\" class=\"data row58 col3\" >0.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow58_col4\" class=\"data row58 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow58_col5\" class=\"data row58 col5\" >6.99%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow58_col6\" class=\"data row58 col6\" >0.84</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row59\" class=\"row_heading level0 row59\" >118</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow59_col0\" class=\"data row59 col0\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow59_col1\" class=\"data row59 col1\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow59_col2\" class=\"data row59 col2\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow59_col3\" class=\"data row59 col3\" >0.05%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow59_col4\" class=\"data row59 col4\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow59_col5\" class=\"data row59 col5\" >4.10%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow59_col6\" class=\"data row59 col6\" >0.84</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row60\" class=\"row_heading level0 row60\" >90</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow60_col0\" class=\"data row60 col0\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow60_col1\" class=\"data row60 col1\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow60_col2\" class=\"data row60 col2\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow60_col3\" class=\"data row60 col3\" >1.03%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow60_col4\" class=\"data row60 col4\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow60_col5\" class=\"data row60 col5\" >21.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow60_col6\" class=\"data row60 col6\" >0.84</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row61\" class=\"row_heading level0 row61\" >11</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow61_col0\" class=\"data row61 col0\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow61_col1\" class=\"data row61 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow61_col2\" class=\"data row61 col2\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow61_col3\" class=\"data row61 col3\" >2.02%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow61_col4\" class=\"data row61 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow61_col5\" class=\"data row61 col5\" >13.95%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow61_col6\" class=\"data row61 col6\" >0.83</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row62\" class=\"row_heading level0 row62\" >63</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow62_col0\" class=\"data row62 col0\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow62_col1\" class=\"data row62 col1\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow62_col2\" class=\"data row62 col2\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow62_col3\" class=\"data row62 col3\" >0.14%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow62_col4\" class=\"data row62 col4\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow62_col5\" class=\"data row62 col5\" >3.17%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow62_col6\" class=\"data row62 col6\" >0.82</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row63\" class=\"row_heading level0 row63\" >36</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow63_col0\" class=\"data row63 col0\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow63_col1\" class=\"data row63 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow63_col2\" class=\"data row63 col2\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow63_col3\" class=\"data row63 col3\" >0.37%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow63_col4\" class=\"data row63 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow63_col5\" class=\"data row63 col5\" >8.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow63_col6\" class=\"data row63 col6\" >0.82</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row64\" class=\"row_heading level0 row64\" >4</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow64_col0\" class=\"data row64 col0\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow64_col1\" class=\"data row64 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow64_col2\" class=\"data row64 col2\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow64_col3\" class=\"data row64 col3\" >0.53%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow64_col4\" class=\"data row64 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow64_col5\" class=\"data row64 col5\" >13.70%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow64_col6\" class=\"data row64 col6\" >0.81</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row65\" class=\"row_heading level0 row65\" >2</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow65_col0\" class=\"data row65 col0\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow65_col1\" class=\"data row65 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow65_col2\" class=\"data row65 col2\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow65_col3\" class=\"data row65 col3\" >1.38%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow65_col4\" class=\"data row65 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow65_col5\" class=\"data row65 col5\" >13.46%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow65_col6\" class=\"data row65 col6\" >0.8</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row66\" class=\"row_heading level0 row66\" >38</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow66_col0\" class=\"data row66 col0\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow66_col1\" class=\"data row66 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow66_col2\" class=\"data row66 col2\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow66_col3\" class=\"data row66 col3\" >0.56%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow66_col4\" class=\"data row66 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow66_col5\" class=\"data row66 col5\" >8.15%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow66_col6\" class=\"data row66 col6\" >0.8</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row67\" class=\"row_heading level0 row67\" >54</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow67_col0\" class=\"data row67 col0\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow67_col1\" class=\"data row67 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow67_col2\" class=\"data row67 col2\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow67_col3\" class=\"data row67 col3\" >0.32%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow67_col4\" class=\"data row67 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow67_col5\" class=\"data row67 col5\" >6.58%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow67_col6\" class=\"data row67 col6\" >0.8</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row68\" class=\"row_heading level0 row68\" >53</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow68_col0\" class=\"data row68 col0\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow68_col1\" class=\"data row68 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow68_col2\" class=\"data row68 col2\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow68_col3\" class=\"data row68 col3\" >0.56%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow68_col4\" class=\"data row68 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow68_col5\" class=\"data row68 col5\" >6.31%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow68_col6\" class=\"data row68 col6\" >0.76</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row69\" class=\"row_heading level0 row69\" >104</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow69_col0\" class=\"data row69 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow69_col1\" class=\"data row69 col1\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow69_col2\" class=\"data row69 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow69_col3\" class=\"data row69 col3\" >0.02%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow69_col4\" class=\"data row69 col4\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow69_col5\" class=\"data row69 col5\" >5.13%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow69_col6\" class=\"data row69 col6\" >0.75</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row70\" class=\"row_heading level0 row70\" >6</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow70_col0\" class=\"data row70 col0\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow70_col1\" class=\"data row70 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow70_col2\" class=\"data row70 col2\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow70_col3\" class=\"data row70 col3\" >3.17%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow70_col4\" class=\"data row70 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow70_col5\" class=\"data row70 col5\" >12.58%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow70_col6\" class=\"data row70 col6\" >0.75</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row71\" class=\"row_heading level0 row71\" >1</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow71_col0\" class=\"data row71 col0\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow71_col1\" class=\"data row71 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow71_col2\" class=\"data row71 col2\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow71_col3\" class=\"data row71 col3\" >6.13%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow71_col4\" class=\"data row71 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow71_col5\" class=\"data row71 col5\" >12.15%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow71_col6\" class=\"data row71 col6\" >0.72</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row72\" class=\"row_heading level0 row72\" >3</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow72_col0\" class=\"data row72 col0\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow72_col1\" class=\"data row72 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow72_col2\" class=\"data row72 col2\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow72_col3\" class=\"data row72 col3\" >0.99%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow72_col4\" class=\"data row72 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow72_col5\" class=\"data row72 col5\" >11.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow72_col6\" class=\"data row72 col6\" >0.71</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row73\" class=\"row_heading level0 row73\" >85</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow73_col0\" class=\"data row73 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow73_col1\" class=\"data row73 col1\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow73_col2\" class=\"data row73 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow73_col3\" class=\"data row73 col3\" >0.03%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow73_col4\" class=\"data row73 col4\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow73_col5\" class=\"data row73 col5\" >3.12%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow73_col6\" class=\"data row73 col6\" >0.71</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row74\" class=\"row_heading level0 row74\" >40</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow74_col0\" class=\"data row74 col0\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow74_col1\" class=\"data row74 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow74_col2\" class=\"data row74 col2\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow74_col3\" class=\"data row74 col3\" >0.35%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow74_col4\" class=\"data row74 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow74_col5\" class=\"data row74 col5\" >7.20%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow74_col6\" class=\"data row74 col6\" >0.7</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row75\" class=\"row_heading level0 row75\" >24</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow75_col0\" class=\"data row75 col0\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow75_col1\" class=\"data row75 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow75_col2\" class=\"data row75 col2\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow75_col3\" class=\"data row75 col3\" >3.13%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow75_col4\" class=\"data row75 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow75_col5\" class=\"data row75 col5\" >35.29%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow75_col6\" class=\"data row75 col6\" >0.7</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row76\" class=\"row_heading level0 row76\" >66</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow76_col0\" class=\"data row76 col0\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow76_col1\" class=\"data row76 col1\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow76_col2\" class=\"data row76 col2\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow76_col3\" class=\"data row76 col3\" >0.24%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow76_col4\" class=\"data row76 col4\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow76_col5\" class=\"data row76 col5\" >2.71%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow76_col6\" class=\"data row76 col6\" >0.7</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row77\" class=\"row_heading level0 row77\" >55</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow77_col0\" class=\"data row77 col0\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow77_col1\" class=\"data row77 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow77_col2\" class=\"data row77 col2\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow77_col3\" class=\"data row77 col3\" >0.07%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow77_col4\" class=\"data row77 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow77_col5\" class=\"data row77 col5\" >5.74%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow77_col6\" class=\"data row77 col6\" >0.69</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row78\" class=\"row_heading level0 row78\" >25</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow78_col0\" class=\"data row78 col0\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow78_col1\" class=\"data row78 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow78_col2\" class=\"data row78 col2\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow78_col3\" class=\"data row78 col3\" >1.68%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow78_col4\" class=\"data row78 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow78_col5\" class=\"data row78 col5\" >34.57%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow78_col6\" class=\"data row78 col6\" >0.69</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row79\" class=\"row_heading level0 row79\" >50</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow79_col0\" class=\"data row79 col0\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow79_col1\" class=\"data row79 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow79_col2\" class=\"data row79 col2\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow79_col3\" class=\"data row79 col3\" >0.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow79_col4\" class=\"data row79 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow79_col5\" class=\"data row79 col5\" >5.67%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow79_col6\" class=\"data row79 col6\" >0.68</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row80\" class=\"row_heading level0 row80\" >136</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow80_col0\" class=\"data row80 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow80_col1\" class=\"data row80 col1\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow80_col2\" class=\"data row80 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow80_col3\" class=\"data row80 col3\" >0.09%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow80_col4\" class=\"data row80 col4\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow80_col5\" class=\"data row80 col5\" >9.38%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow80_col6\" class=\"data row80 col6\" >0.65</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row81\" class=\"row_heading level0 row81\" >9</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow81_col0\" class=\"data row81 col0\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow81_col1\" class=\"data row81 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow81_col2\" class=\"data row81 col2\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow81_col3\" class=\"data row81 col3\" >0.52%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow81_col4\" class=\"data row81 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow81_col5\" class=\"data row81 col5\" >10.70%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow81_col6\" class=\"data row81 col6\" >0.63</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row82\" class=\"row_heading level0 row82\" >148</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow82_col0\" class=\"data row82 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow82_col1\" class=\"data row82 col1\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow82_col2\" class=\"data row82 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow82_col3\" class=\"data row82 col3\" >0.01%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow82_col4\" class=\"data row82 col4\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow82_col5\" class=\"data row82 col5\" >1.04%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow82_col6\" class=\"data row82 col6\" >0.63</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row83\" class=\"row_heading level0 row83\" >39</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow83_col0\" class=\"data row83 col0\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow83_col1\" class=\"data row83 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow83_col2\" class=\"data row83 col2\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow83_col3\" class=\"data row83 col3\" >0.56%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow83_col4\" class=\"data row83 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow83_col5\" class=\"data row83 col5\" >6.31%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow83_col6\" class=\"data row83 col6\" >0.62</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row84\" class=\"row_heading level0 row84\" >101</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow84_col0\" class=\"data row84 col0\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow84_col1\" class=\"data row84 col1\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow84_col2\" class=\"data row84 col2\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow84_col3\" class=\"data row84 col3\" >0.05%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow84_col4\" class=\"data row84 col4\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow84_col5\" class=\"data row84 col5\" >4.10%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow84_col6\" class=\"data row84 col6\" >0.6</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row85\" class=\"row_heading level0 row85\" >7</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow85_col0\" class=\"data row85 col0\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow85_col1\" class=\"data row85 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow85_col2\" class=\"data row85 col2\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow85_col3\" class=\"data row85 col3\" >0.69%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow85_col4\" class=\"data row85 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow85_col5\" class=\"data row85 col5\" >10.04%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow85_col6\" class=\"data row85 col6\" >0.6</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row86\" class=\"row_heading level0 row86\" >26</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow86_col0\" class=\"data row86 col0\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow86_col1\" class=\"data row86 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow86_col2\" class=\"data row86 col2\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow86_col3\" class=\"data row86 col3\" >0.35%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow86_col4\" class=\"data row86 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow86_col5\" class=\"data row86 col5\" >28.69%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow86_col6\" class=\"data row86 col6\" >0.57</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row87\" class=\"row_heading level0 row87\" >91</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow87_col0\" class=\"data row87 col0\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow87_col1\" class=\"data row87 col1\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow87_col2\" class=\"data row87 col2\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow87_col3\" class=\"data row87 col3\" >0.17%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow87_col4\" class=\"data row87 col4\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow87_col5\" class=\"data row87 col5\" >13.93%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow87_col6\" class=\"data row87 col6\" >0.55</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row88\" class=\"row_heading level0 row88\" >73</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow88_col0\" class=\"data row88 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow88_col1\" class=\"data row88 col1\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow88_col2\" class=\"data row88 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow88_col3\" class=\"data row88 col3\" >0.02%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow88_col4\" class=\"data row88 col4\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow88_col5\" class=\"data row88 col5\" >2.08%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow88_col6\" class=\"data row88 col6\" >0.54</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row89\" class=\"row_heading level0 row89\" >10</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow89_col0\" class=\"data row89 col0\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow89_col1\" class=\"data row89 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow89_col2\" class=\"data row89 col2\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow89_col3\" class=\"data row89 col3\" >0.11%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow89_col4\" class=\"data row89 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow89_col5\" class=\"data row89 col5\" >9.02%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow89_col6\" class=\"data row89 col6\" >0.53</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row90\" class=\"row_heading level0 row90\" >8</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow90_col0\" class=\"data row90 col0\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow90_col1\" class=\"data row90 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow90_col2\" class=\"data row90 col2\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow90_col3\" class=\"data row90 col3\" >0.78%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow90_col4\" class=\"data row90 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow90_col5\" class=\"data row90 col5\" >8.79%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow90_col6\" class=\"data row90 col6\" >0.52</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row91\" class=\"row_heading level0 row91\" >46</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow91_col0\" class=\"data row91 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow91_col1\" class=\"data row91 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow91_col2\" class=\"data row91 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow91_col3\" class=\"data row91 col3\" >0.05%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow91_col4\" class=\"data row91 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow91_col5\" class=\"data row91 col5\" >5.21%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow91_col6\" class=\"data row91 col6\" >0.51</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row92\" class=\"row_heading level0 row92\" >76</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow92_col0\" class=\"data row92 col0\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow92_col1\" class=\"data row92 col1\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow92_col2\" class=\"data row92 col2\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow92_col3\" class=\"data row92 col3\" >0.56%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow92_col4\" class=\"data row92 col4\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow92_col5\" class=\"data row92 col5\" >2.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow92_col6\" class=\"data row92 col6\" >0.5</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row93\" class=\"row_heading level0 row93\" >5</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow93_col0\" class=\"data row93 col0\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow93_col1\" class=\"data row93 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow93_col2\" class=\"data row93 col2\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow93_col3\" class=\"data row93 col3\" >0.36%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow93_col4\" class=\"data row93 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow93_col5\" class=\"data row93 col5\" >8.16%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow93_col6\" class=\"data row93 col6\" >0.48</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row94\" class=\"row_heading level0 row94\" >21</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow94_col0\" class=\"data row94 col0\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow94_col1\" class=\"data row94 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow94_col2\" class=\"data row94 col2\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow94_col3\" class=\"data row94 col3\" >1.04%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow94_col4\" class=\"data row94 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow94_col5\" class=\"data row94 col5\" >23.58%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow94_col6\" class=\"data row94 col6\" >0.47</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row95\" class=\"row_heading level0 row95\" >77</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow95_col0\" class=\"data row95 col0\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow95_col1\" class=\"data row95 col1\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow95_col2\" class=\"data row95 col2\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow95_col3\" class=\"data row95 col3\" >0.14%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow95_col4\" class=\"data row95 col4\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow95_col5\" class=\"data row95 col5\" >2.04%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow95_col6\" class=\"data row95 col6\" >0.46</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row96\" class=\"row_heading level0 row96\" >106</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow96_col0\" class=\"data row96 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow96_col1\" class=\"data row96 col1\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow96_col2\" class=\"data row96 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow96_col3\" class=\"data row96 col3\" >0.03%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow96_col4\" class=\"data row96 col4\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow96_col5\" class=\"data row96 col5\" >3.12%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow96_col6\" class=\"data row96 col6\" >0.45</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row97\" class=\"row_heading level0 row97\" >15</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow97_col0\" class=\"data row97 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow97_col1\" class=\"data row97 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow97_col2\" class=\"data row97 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow97_col3\" class=\"data row97 col3\" >0.07%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow97_col4\" class=\"data row97 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow97_col5\" class=\"data row97 col5\" >7.29%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow97_col6\" class=\"data row97 col6\" >0.43</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row98\" class=\"row_heading level0 row98\" >96</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow98_col0\" class=\"data row98 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow98_col1\" class=\"data row98 col1\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow98_col2\" class=\"data row98 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow98_col3\" class=\"data row98 col3\" >0.10%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow98_col4\" class=\"data row98 col4\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow98_col5\" class=\"data row98 col5\" >10.42%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow98_col6\" class=\"data row98 col6\" >0.41</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row99\" class=\"row_heading level0 row99\" >78</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow99_col0\" class=\"data row99 col0\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow99_col1\" class=\"data row99 col1\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow99_col2\" class=\"data row99 col2\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow99_col3\" class=\"data row99 col3\" >0.15%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow99_col4\" class=\"data row99 col4\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow99_col5\" class=\"data row99 col5\" >1.69%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow99_col6\" class=\"data row99 col6\" >0.38</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row100\" class=\"row_heading level0 row100\" >60</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow100_col0\" class=\"data row100 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow100_col1\" class=\"data row100 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow100_col2\" class=\"data row100 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow100_col3\" class=\"data row100 col3\" >0.03%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow100_col4\" class=\"data row100 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow100_col5\" class=\"data row100 col5\" >3.12%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow100_col6\" class=\"data row100 col6\" >0.38</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row101\" class=\"row_heading level0 row101\" >110</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow101_col0\" class=\"data row101 col0\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow101_col1\" class=\"data row101 col1\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow101_col2\" class=\"data row101 col2\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow101_col3\" class=\"data row101 col3\" >0.04%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow101_col4\" class=\"data row101 col4\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow101_col5\" class=\"data row101 col5\" >3.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow101_col6\" class=\"data row101 col6\" >0.37</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row102\" class=\"row_heading level0 row102\" >115</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow102_col0\" class=\"data row102 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow102_col1\" class=\"data row102 col1\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow102_col2\" class=\"data row102 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow102_col3\" class=\"data row102 col3\" >0.03%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow102_col4\" class=\"data row102 col4\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow102_col5\" class=\"data row102 col5\" >3.12%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow102_col6\" class=\"data row102 col6\" >0.35</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row103\" class=\"row_heading level0 row103\" >31</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow103_col0\" class=\"data row103 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow103_col1\" class=\"data row103 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow103_col2\" class=\"data row103 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow103_col3\" class=\"data row103 col3\" >0.17%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow103_col4\" class=\"data row103 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow103_col5\" class=\"data row103 col5\" >17.71%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow103_col6\" class=\"data row103 col6\" >0.35</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row104\" class=\"row_heading level0 row104\" >144</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow104_col0\" class=\"data row104 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow104_col1\" class=\"data row104 col1\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow104_col2\" class=\"data row104 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow104_col3\" class=\"data row104 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow104_col4\" class=\"data row104 col4\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow104_col5\" class=\"data row104 col5\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow104_col6\" class=\"data row104 col6\" >0.0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row105\" class=\"row_heading level0 row105\" >12</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow105_col0\" class=\"data row105 col0\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow105_col1\" class=\"data row105 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow105_col2\" class=\"data row105 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow105_col3\" class=\"data row105 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow105_col4\" class=\"data row105 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow105_col5\" class=\"data row105 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow105_col6\" class=\"data row105 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row106\" class=\"row_heading level0 row106\" >16</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow106_col0\" class=\"data row106 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow106_col1\" class=\"data row106 col1\" >1</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow106_col2\" class=\"data row106 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow106_col3\" class=\"data row106 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow106_col4\" class=\"data row106 col4\" >16.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow106_col5\" class=\"data row106 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow106_col6\" class=\"data row106 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row107\" class=\"row_heading level0 row107\" >28</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow107_col0\" class=\"data row107 col0\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow107_col1\" class=\"data row107 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow107_col2\" class=\"data row107 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow107_col3\" class=\"data row107 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow107_col4\" class=\"data row107 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow107_col5\" class=\"data row107 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow107_col6\" class=\"data row107 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row108\" class=\"row_heading level0 row108\" >32</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow108_col0\" class=\"data row108 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow108_col1\" class=\"data row108 col1\" >2</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow108_col2\" class=\"data row108 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow108_col3\" class=\"data row108 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow108_col4\" class=\"data row108 col4\" >50.44%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow108_col5\" class=\"data row108 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow108_col6\" class=\"data row108 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row109\" class=\"row_heading level0 row109\" >43</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow109_col0\" class=\"data row109 col0\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow109_col1\" class=\"data row109 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow109_col2\" class=\"data row109 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow109_col3\" class=\"data row109 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow109_col4\" class=\"data row109 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow109_col5\" class=\"data row109 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow109_col6\" class=\"data row109 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row110\" class=\"row_heading level0 row110\" >47</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow110_col0\" class=\"data row110 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow110_col1\" class=\"data row110 col1\" >3</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow110_col2\" class=\"data row110 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow110_col3\" class=\"data row110 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow110_col4\" class=\"data row110 col4\" >10.25%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow110_col5\" class=\"data row110 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow110_col6\" class=\"data row110 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row111\" class=\"row_heading level0 row111\" >57</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow111_col0\" class=\"data row111 col0\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow111_col1\" class=\"data row111 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow111_col2\" class=\"data row111 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow111_col3\" class=\"data row111 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow111_col4\" class=\"data row111 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow111_col5\" class=\"data row111 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow111_col6\" class=\"data row111 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row112\" class=\"row_heading level0 row112\" >61</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow112_col0\" class=\"data row112 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow112_col1\" class=\"data row112 col1\" >4</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow112_col2\" class=\"data row112 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow112_col3\" class=\"data row112 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow112_col4\" class=\"data row112 col4\" >8.28%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow112_col5\" class=\"data row112 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow112_col6\" class=\"data row112 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row113\" class=\"row_heading level0 row113\" >70</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow113_col0\" class=\"data row113 col0\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow113_col1\" class=\"data row113 col1\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow113_col2\" class=\"data row113 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow113_col3\" class=\"data row113 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow113_col4\" class=\"data row113 col4\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow113_col5\" class=\"data row113 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow113_col6\" class=\"data row113 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row114\" class=\"row_heading level0 row114\" >74</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow114_col0\" class=\"data row114 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow114_col1\" class=\"data row114 col1\" >5</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow114_col2\" class=\"data row114 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow114_col3\" class=\"data row114 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow114_col4\" class=\"data row114 col4\" >3.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow114_col5\" class=\"data row114 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow114_col6\" class=\"data row114 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row115\" class=\"row_heading level0 row115\" >82</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow115_col0\" class=\"data row115 col0\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow115_col1\" class=\"data row115 col1\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow115_col2\" class=\"data row115 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow115_col3\" class=\"data row115 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow115_col4\" class=\"data row115 col4\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow115_col5\" class=\"data row115 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow115_col6\" class=\"data row115 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row116\" class=\"row_heading level0 row116\" >86</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow116_col0\" class=\"data row116 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow116_col1\" class=\"data row116 col1\" >6</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow116_col2\" class=\"data row116 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow116_col3\" class=\"data row116 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow116_col4\" class=\"data row116 col4\" >4.41%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow116_col5\" class=\"data row116 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow116_col6\" class=\"data row116 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row117\" class=\"row_heading level0 row117\" >93</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow117_col0\" class=\"data row117 col0\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow117_col1\" class=\"data row117 col1\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow117_col2\" class=\"data row117 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow117_col3\" class=\"data row117 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow117_col4\" class=\"data row117 col4\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow117_col5\" class=\"data row117 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow117_col6\" class=\"data row117 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row118\" class=\"row_heading level0 row118\" >97</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow118_col0\" class=\"data row118 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow118_col1\" class=\"data row118 col1\" >7</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow118_col2\" class=\"data row118 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow118_col3\" class=\"data row118 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow118_col4\" class=\"data row118 col4\" >25.19%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow118_col5\" class=\"data row118 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow118_col6\" class=\"data row118 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row119\" class=\"row_heading level0 row119\" >103</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow119_col0\" class=\"data row119 col0\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow119_col1\" class=\"data row119 col1\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow119_col2\" class=\"data row119 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow119_col3\" class=\"data row119 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow119_col4\" class=\"data row119 col4\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow119_col5\" class=\"data row119 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow119_col6\" class=\"data row119 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row120\" class=\"row_heading level0 row120\" >107</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow120_col0\" class=\"data row120 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow120_col1\" class=\"data row120 col1\" >8</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow120_col2\" class=\"data row120 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow120_col3\" class=\"data row120 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow120_col4\" class=\"data row120 col4\" >6.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow120_col5\" class=\"data row120 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow120_col6\" class=\"data row120 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row121\" class=\"row_heading level0 row121\" >112</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow121_col0\" class=\"data row121 col0\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow121_col1\" class=\"data row121 col1\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow121_col2\" class=\"data row121 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow121_col3\" class=\"data row121 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow121_col4\" class=\"data row121 col4\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow121_col5\" class=\"data row121 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow121_col6\" class=\"data row121 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row122\" class=\"row_heading level0 row122\" >116</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow122_col0\" class=\"data row122 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow122_col1\" class=\"data row122 col1\" >9</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow122_col2\" class=\"data row122 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow122_col3\" class=\"data row122 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow122_col4\" class=\"data row122 col4\" >8.87%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow122_col5\" class=\"data row122 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow122_col6\" class=\"data row122 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row123\" class=\"row_heading level0 row123\" >120</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow123_col0\" class=\"data row123 col0\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow123_col1\" class=\"data row123 col1\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow123_col2\" class=\"data row123 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow123_col3\" class=\"data row123 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow123_col4\" class=\"data row123 col4\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow123_col5\" class=\"data row123 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow123_col6\" class=\"data row123 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row124\" class=\"row_heading level0 row124\" >124</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow124_col0\" class=\"data row124 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow124_col1\" class=\"data row124 col1\" >13</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow124_col2\" class=\"data row124 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow124_col3\" class=\"data row124 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow124_col4\" class=\"data row124 col4\" >4.86%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow124_col5\" class=\"data row124 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow124_col6\" class=\"data row124 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row125\" class=\"row_heading level0 row125\" >127</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow125_col0\" class=\"data row125 col0\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow125_col1\" class=\"data row125 col1\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow125_col2\" class=\"data row125 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow125_col3\" class=\"data row125 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow125_col4\" class=\"data row125 col4\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow125_col5\" class=\"data row125 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow125_col6\" class=\"data row125 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row126\" class=\"row_heading level0 row126\" >131</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow126_col0\" class=\"data row126 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow126_col1\" class=\"data row126 col1\" >14</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow126_col2\" class=\"data row126 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow126_col3\" class=\"data row126 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow126_col4\" class=\"data row126 col4\" >1.22%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow126_col5\" class=\"data row126 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow126_col6\" class=\"data row126 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row127\" class=\"row_heading level0 row127\" >133</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow127_col0\" class=\"data row127 col0\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow127_col1\" class=\"data row127 col1\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow127_col2\" class=\"data row127 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow127_col3\" class=\"data row127 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow127_col4\" class=\"data row127 col4\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow127_col5\" class=\"data row127 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow127_col6\" class=\"data row127 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row128\" class=\"row_heading level0 row128\" >137</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow128_col0\" class=\"data row128 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow128_col1\" class=\"data row128 col1\" >15</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow128_col2\" class=\"data row128 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow128_col3\" class=\"data row128 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow128_col4\" class=\"data row128 col4\" >14.48%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow128_col5\" class=\"data row128 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow128_col6\" class=\"data row128 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row129\" class=\"row_heading level0 row129\" >139</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow129_col0\" class=\"data row129 col0\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow129_col1\" class=\"data row129 col1\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow129_col2\" class=\"data row129 col2\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow129_col3\" class=\"data row129 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow129_col4\" class=\"data row129 col4\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow129_col5\" class=\"data row129 col5\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow129_col6\" class=\"data row129 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row130\" class=\"row_heading level0 row130\" >140</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow130_col0\" class=\"data row130 col0\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow130_col1\" class=\"data row130 col1\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow130_col2\" class=\"data row130 col2\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow130_col3\" class=\"data row130 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow130_col4\" class=\"data row130 col4\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow130_col5\" class=\"data row130 col5\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow130_col6\" class=\"data row130 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row131\" class=\"row_heading level0 row131\" >141</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow131_col0\" class=\"data row131 col0\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow131_col1\" class=\"data row131 col1\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow131_col2\" class=\"data row131 col2\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow131_col3\" class=\"data row131 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow131_col4\" class=\"data row131 col4\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow131_col5\" class=\"data row131 col5\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow131_col6\" class=\"data row131 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row132\" class=\"row_heading level0 row132\" >142</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow132_col0\" class=\"data row132 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow132_col1\" class=\"data row132 col1\" >17</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow132_col2\" class=\"data row132 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow132_col3\" class=\"data row132 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow132_col4\" class=\"data row132 col4\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow132_col5\" class=\"data row132 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow132_col6\" class=\"data row132 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row133\" class=\"row_heading level0 row133\" >146</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow133_col0\" class=\"data row133 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow133_col1\" class=\"data row133 col1\" >26</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow133_col2\" class=\"data row133 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow133_col3\" class=\"data row133 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow133_col4\" class=\"data row133 col4\" >0.39%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow133_col5\" class=\"data row133 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow133_col6\" class=\"data row133 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row134\" class=\"row_heading level0 row134\" >149</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow134_col0\" class=\"data row134 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow134_col1\" class=\"data row134 col1\" >43</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow134_col2\" class=\"data row134 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow134_col3\" class=\"data row134 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow134_col4\" class=\"data row134 col4\" >1.66%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow134_col5\" class=\"data row134 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow134_col6\" class=\"data row134 col6\" >nan</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387alevel0_row135\" class=\"row_heading level0 row135\" >151</th>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow135_col0\" class=\"data row135 col0\" >50</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow135_col1\" class=\"data row135 col1\" >45</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow135_col2\" class=\"data row135 col2\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow135_col3\" class=\"data row135 col3\" >0.00%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow135_col4\" class=\"data row135 col4\" >0.96%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow135_col5\" class=\"data row135 col5\" >nan%</td>\n",
       "                        <td id=\"T_613a408a_7b20_11ea_a0cd_c0143dd4387arow135_col6\" class=\"data row135 col6\" >nan</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1df38da3b88>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calc_association(train,var='productGroup')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "calc_association(train,var='articleID')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>orderID</th>\n",
       "      <th>orderDate</th>\n",
       "      <th>articleID</th>\n",
       "      <th>colorCode</th>\n",
       "      <th>sizeCode</th>\n",
       "      <th>productGroup</th>\n",
       "      <th>quantity</th>\n",
       "      <th>price</th>\n",
       "      <th>rrp</th>\n",
       "      <th>voucherID</th>\n",
       "      <th>voucherAmount</th>\n",
       "      <th>customerID</th>\n",
       "      <th>deviceID</th>\n",
       "      <th>paymentMethod</th>\n",
       "      <th>returnQuantity</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>4307</td>\n",
       "      <td>a1001513</td>\n",
       "      <td>2014-01-03</td>\n",
       "      <td>i1000526</td>\n",
       "      <td>2976</td>\n",
       "      <td>36</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5</td>\n",
       "      <td>100.00</td>\n",
       "      <td>29.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1089966</td>\n",
       "      <td>3</td>\n",
       "      <td>CBA</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5785</td>\n",
       "      <td>a1002010</td>\n",
       "      <td>2014-01-04</td>\n",
       "      <td>i1000312</td>\n",
       "      <td>1000</td>\n",
       "      <td>38</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5</td>\n",
       "      <td>89.95</td>\n",
       "      <td>17.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1090173</td>\n",
       "      <td>2</td>\n",
       "      <td>PAYPALVC</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32624</td>\n",
       "      <td>a1010973</td>\n",
       "      <td>2014-01-14</td>\n",
       "      <td>i1000321</td>\n",
       "      <td>1493</td>\n",
       "      <td>38</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4</td>\n",
       "      <td>103.96</td>\n",
       "      <td>25.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1093258</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37902</td>\n",
       "      <td>a1012696</td>\n",
       "      <td>2014-01-15</td>\n",
       "      <td>i1000526</td>\n",
       "      <td>2976</td>\n",
       "      <td>42</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>60.00</td>\n",
       "      <td>29.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1093834</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42892</td>\n",
       "      <td>a1014236</td>\n",
       "      <td>2014-01-17</td>\n",
       "      <td>i1000325</td>\n",
       "      <td>1000</td>\n",
       "      <td>40</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>59.97</td>\n",
       "      <td>19.99</td>\n",
       "      <td>v1000078</td>\n",
       "      <td>10.0</td>\n",
       "      <td>c1044371</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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",
       "      <td>2280187</td>\n",
       "      <td>a1729833</td>\n",
       "      <td>2015-09-18</td>\n",
       "      <td>i1002605</td>\n",
       "      <td>1082</td>\n",
       "      <td>I</td>\n",
       "      <td>17.0</td>\n",
       "      <td>4</td>\n",
       "      <td>134.44</td>\n",
       "      <td>39.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1283475</td>\n",
       "      <td>3</td>\n",
       "      <td>BPLS</td>\n",
       "      <td>3</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2280188</td>\n",
       "      <td>a1729833</td>\n",
       "      <td>2015-09-18</td>\n",
       "      <td>i1002611</td>\n",
       "      <td>3111</td>\n",
       "      <td>I</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5</td>\n",
       "      <td>117.60</td>\n",
       "      <td>27.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1283475</td>\n",
       "      <td>3</td>\n",
       "      <td>BPLS</td>\n",
       "      <td>2</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2288881</td>\n",
       "      <td>a1732544</td>\n",
       "      <td>2015-09-21</td>\n",
       "      <td>i1002953</td>\n",
       "      <td>2089</td>\n",
       "      <td>I</td>\n",
       "      <td>17.0</td>\n",
       "      <td>3</td>\n",
       "      <td>21.00</td>\n",
       "      <td>22.99</td>\n",
       "      <td>v1000737</td>\n",
       "      <td>10.0</td>\n",
       "      <td>c1316465</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2290518</td>\n",
       "      <td>a1733111</td>\n",
       "      <td>2015-09-21</td>\n",
       "      <td>i1000397</td>\n",
       "      <td>1111</td>\n",
       "      <td>42</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>53.97</td>\n",
       "      <td>17.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1055271</td>\n",
       "      <td>3</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>2</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2290519</td>\n",
       "      <td>a1733111</td>\n",
       "      <td>2015-09-21</td>\n",
       "      <td>i1000398</td>\n",
       "      <td>1114</td>\n",
       "      <td>42</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>53.97</td>\n",
       "      <td>17.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>c1055271</td>\n",
       "      <td>3</td>\n",
       "      <td>BPRG</td>\n",
       "      <td>2</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>172 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          orderID   orderDate articleID  colorCode sizeCode  productGroup  \\\n",
       "4307     a1001513  2014-01-03  i1000526       2976       36           3.0   \n",
       "5785     a1002010  2014-01-04  i1000312       1000       38           3.0   \n",
       "32624    a1010973  2014-01-14  i1000321       1493       38           3.0   \n",
       "37902    a1012696  2014-01-15  i1000526       2976       42           3.0   \n",
       "42892    a1014236  2014-01-17  i1000325       1000       40           3.0   \n",
       "...           ...         ...       ...        ...      ...           ...   \n",
       "2280187  a1729833  2015-09-18  i1002605       1082        I          17.0   \n",
       "2280188  a1729833  2015-09-18  i1002611       3111        I          17.0   \n",
       "2288881  a1732544  2015-09-21  i1002953       2089        I          17.0   \n",
       "2290518  a1733111  2015-09-21  i1000397       1111       42           3.0   \n",
       "2290519  a1733111  2015-09-21  i1000398       1114       42           3.0   \n",
       "\n",
       "         quantity   price    rrp voucherID  voucherAmount customerID  \\\n",
       "4307            5  100.00  29.99         0            0.0   c1089966   \n",
       "5785            5   89.95  17.99         0            0.0   c1090173   \n",
       "32624           4  103.96  25.99         0            0.0   c1093258   \n",
       "37902           3   60.00  29.99         0            0.0   c1093834   \n",
       "42892           3   59.97  19.99  v1000078           10.0   c1044371   \n",
       "...           ...     ...    ...       ...            ...        ...   \n",
       "2280187         4  134.44  39.99         0            0.0   c1283475   \n",
       "2280188         5  117.60  27.99         0            0.0   c1283475   \n",
       "2288881         3   21.00  22.99  v1000737           10.0   c1316465   \n",
       "2290518         3   53.97  17.99         0            0.0   c1055271   \n",
       "2290519         3   53.97  17.99         0            0.0   c1055271   \n",
       "\n",
       "         deviceID paymentMethod  returnQuantity  count  \n",
       "4307            3           CBA               4      1  \n",
       "5785            2      PAYPALVC               2      0  \n",
       "32624           2          BPRG               2      2  \n",
       "37902           2          BPRG               2      0  \n",
       "42892           2          BPRG               2      1  \n",
       "...           ...           ...             ...    ...  \n",
       "2280187         3          BPLS               3     51  \n",
       "2280188         3          BPLS               2     52  \n",
       "2288881         2          BPRG               2     11  \n",
       "2290518         3          BPRG               2     72  \n",
       "2290519         3          BPRG               2     73  \n",
       "\n",
       "[172 rows x 16 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[(train['returnQuantity']>1)&(train['quantity']!=train['returnQuantity'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "38     395163\n",
       "40     393547\n",
       "42     393244\n",
       "44     359473\n",
       "36     270462\n",
       "34     147173\n",
       "I      116374\n",
       "A       42014\n",
       "32      36554\n",
       "29      30560\n",
       "30      29115\n",
       "31      26133\n",
       "28      22634\n",
       "33      20890\n",
       "27      17139\n",
       "26       9836\n",
       "25       5104\n",
       "85       1680\n",
       "90       1613\n",
       "95       1597\n",
       "80       1157\n",
       "100      1059\n",
       "M         751\n",
       "75        491\n",
       "L         445\n",
       "S         444\n",
       "24        317\n",
       "XL        158\n",
       "XS         38\n",
       "Name: sizeCode, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.sizeCode.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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>customerID</th>\n",
       "      <th>f_order</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>c1010575</td>\n",
       "      <td>2014-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>c1045905</td>\n",
       "      <td>2014-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>c1089295</td>\n",
       "      <td>2014-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>c1050116</td>\n",
       "      <td>2014-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>c1089296</td>\n",
       "      <td>2014-01-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   customerID     f_order\n",
       "0    c1010575  2014-01-01\n",
       "2    c1045905  2014-01-01\n",
       "4    c1089295  2014-01-01\n",
       "9    c1050116  2014-01-01\n",
       "10   c1089296  2014-01-01"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['count'] = train.groupby(['customerID']).cumcount()\n",
    "#train.sort_values(['customerID','orderDate'],ascending = [False,False])\n",
    "first_order = train[train['count'] == 0][['customerID','orderDate']]\n",
    "first_order.columns = ['customerID','f_order']\n",
    "first_order.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.crosstab(train.paymentMethod, train.returnQuantity, normalize = 'index').round(3).sort_values(0,ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>returnQuantity</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>productGroup</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",
       "      <td>1.0</td>\n",
       "      <td>0.405</td>\n",
       "      <td>0.594</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2.0</td>\n",
       "      <td>0.419</td>\n",
       "      <td>0.579</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3.0</td>\n",
       "      <td>0.539</td>\n",
       "      <td>0.459</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4.0</td>\n",
       "      <td>0.487</td>\n",
       "      <td>0.512</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5.0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>0.541</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6.0</td>\n",
       "      <td>0.487</td>\n",
       "      <td>0.512</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7.0</td>\n",
       "      <td>0.377</td>\n",
       "      <td>0.622</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8.0</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9.0</td>\n",
       "      <td>0.404</td>\n",
       "      <td>0.595</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13.0</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.676</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14.0</td>\n",
       "      <td>0.384</td>\n",
       "      <td>0.615</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15.0</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.529</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17.0</td>\n",
       "      <td>0.622</td>\n",
       "      <td>0.376</td>\n",
       "      <td>0.002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43.0</td>\n",
       "      <td>0.859</td>\n",
       "      <td>0.141</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45.0</td>\n",
       "      <td>0.903</td>\n",
       "      <td>0.097</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50.0</td>\n",
       "      <td>0.382</td>\n",
       "      <td>0.617</td>\n",
       "      <td>0.001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>90.0</td>\n",
       "      <td>0.806</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "returnQuantity      0      1      2    3    4    5\n",
       "productGroup                                      \n",
       "1.0             0.405  0.594  0.001  0.0  0.0  0.0\n",
       "2.0             0.419  0.579  0.002  0.0  0.0  0.0\n",
       "3.0             0.539  0.459  0.002  0.0  0.0  0.0\n",
       "4.0             0.487  0.512  0.001  0.0  0.0  0.0\n",
       "5.0             0.458  0.541  0.001  0.0  0.0  0.0\n",
       "6.0             0.487  0.512  0.001  0.0  0.0  0.0\n",
       "7.0             0.377  0.622  0.001  0.0  0.0  0.0\n",
       "8.0             0.417  0.581  0.002  0.0  0.0  0.0\n",
       "9.0             0.404  0.595  0.001  0.0  0.0  0.0\n",
       "13.0            0.323  0.676  0.001  0.0  0.0  0.0\n",
       "14.0            0.384  0.615  0.001  0.0  0.0  0.0\n",
       "15.0            0.470  0.529  0.000  0.0  0.0  0.0\n",
       "17.0            0.622  0.376  0.002  0.0  0.0  0.0\n",
       "26.0            1.000  0.000  0.000  0.0  0.0  0.0\n",
       "43.0            0.859  0.141  0.000  0.0  0.0  0.0\n",
       "45.0            0.903  0.097  0.000  0.0  0.0  0.0\n",
       "50.0            0.382  0.617  0.001  0.0  0.0  0.0\n",
       "90.0            0.806  0.194  0.000  0.0  0.0  0.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(train.productGroup, train.returnQuantity, normalize = 'index').round(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2325165, 15)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>orderID</th>\n",
       "      <th>orderDate</th>\n",
       "      <th>articleID</th>\n",
       "      <th>colorCode</th>\n",
       "      <th>sizeCode</th>\n",
       "      <th>productGroup</th>\n",
       "      <th>quantity</th>\n",
       "      <th>price</th>\n",
       "      <th>rrp</th>\n",
       "      <th>voucherID</th>\n",
       "      <th>voucherAmount</th>\n",
       "      <th>customerID</th>\n",
       "      <th>deviceID</th>\n",
       "      <th>paymentMethod</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>a1744178</td>\n",
       "      <td>2015-10-01</td>\n",
       "      <td>i1002632</td>\n",
       "      <td>3097</td>\n",
       "      <td>I</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1</td>\n",
       "      <td>19.99</td>\n",
       "      <td>19.99</td>\n",
       "      <td>v1000415</td>\n",
       "      <td>10.0</td>\n",
       "      <td>c1062117</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>a1744178</td>\n",
       "      <td>2015-10-01</td>\n",
       "      <td>i1003278</td>\n",
       "      <td>1097</td>\n",
       "      <td>40</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>12.95</td>\n",
       "      <td>12.95</td>\n",
       "      <td>v1000415</td>\n",
       "      <td>10.0</td>\n",
       "      <td>c1062117</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>a1744178</td>\n",
       "      <td>2015-10-01</td>\n",
       "      <td>i1003279</td>\n",
       "      <td>1114</td>\n",
       "      <td>40</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>12.95</td>\n",
       "      <td>12.95</td>\n",
       "      <td>v1000415</td>\n",
       "      <td>10.0</td>\n",
       "      <td>c1062117</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>a1744178</td>\n",
       "      <td>2015-10-01</td>\n",
       "      <td>i1003279</td>\n",
       "      <td>1116</td>\n",
       "      <td>40</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>12.95</td>\n",
       "      <td>12.95</td>\n",
       "      <td>v1000415</td>\n",
       "      <td>10.0</td>\n",
       "      <td>c1062117</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>a1744178</td>\n",
       "      <td>2015-10-01</td>\n",
       "      <td>i1003279</td>\n",
       "      <td>1117</td>\n",
       "      <td>40</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>12.95</td>\n",
       "      <td>12.95</td>\n",
       "      <td>v1000415</td>\n",
       "      <td>10.0</td>\n",
       "      <td>c1062117</td>\n",
       "      <td>2</td>\n",
       "      <td>BPRG</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    orderID   orderDate articleID  colorCode sizeCode  productGroup  quantity  \\\n",
       "0  a1744178  2015-10-01  i1002632       3097        I          17.0         1   \n",
       "1  a1744178  2015-10-01  i1003278       1097       40           3.0         1   \n",
       "2  a1744178  2015-10-01  i1003279       1114       40           3.0         1   \n",
       "3  a1744178  2015-10-01  i1003279       1116       40           3.0         1   \n",
       "4  a1744178  2015-10-01  i1003279       1117       40           3.0         1   \n",
       "\n",
       "   price    rrp voucherID  voucherAmount customerID  deviceID paymentMethod  \n",
       "0  19.99  19.99  v1000415           10.0   c1062117         2          BPRG  \n",
       "1  12.95  12.95  v1000415           10.0   c1062117         2          BPRG  \n",
       "2  12.95  12.95  v1000415           10.0   c1062117         2          BPRG  \n",
       "3  12.95  12.95  v1000415           10.0   c1062117         2          BPRG  \n",
       "4  12.95  12.95  v1000415           10.0   c1062117         2          BPRG  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final = pd.read_csv('orders_class.txt', sep=';')\n",
    "final.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('2015-10-01', '2015-12-31')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final['orderDate'].min(), final['orderDate'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    331590\n",
       "0      6692\n",
       "2      2512\n",
       "3       211\n",
       "5        52\n",
       "4        41\n",
       "Name: quantity, dtype: int64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final.quantity.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create model\n",
    "\n",
    "clf = DecisionTreeClassifier()\n",
    "\n",
    " \n",
    "\n",
    "# Set up k-fold\n",
    "\n",
    "k_fold = KFold(n_splits = 4, random_state = 0)\n",
    "\n",
    " \n",
    "\n",
    "# Evaluate precision and recall for each fold\n",
    "\n",
    "precision = cross_val_score(\n",
    "\n",
    "  clf, X_train, y_train, cv = k_fold, scoring = 'precision_weighted')\n",
    "\n",
    "recall = cross_val_score(\n",
    "\n",
    "  clf, X_train, y_train, cv = k_fold, scoring = 'recall_weighted')\n",
    "\n",
    "print(\"Precision scores: %s\" %(precision))\n",
    "\n",
    "print(\"Recall scores: %s\" %(recall))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}