TelecomChurnPrediction.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Set up"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import libraries\n",
    "import re\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "pd.set_option(\"display.max_columns\",None)\n",
    "pd.set_option(\"display.max_rows\",None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read train data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 327,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>circle_id</th>\n",
       "      <th>loc_og_t2o_mou</th>\n",
       "      <th>std_og_t2o_mou</th>\n",
       "      <th>loc_ic_t2o_mou</th>\n",
       "      <th>last_date_of_month_6</th>\n",
       "      <th>last_date_of_month_7</th>\n",
       "      <th>last_date_of_month_8</th>\n",
       "      <th>arpu_6</th>\n",
       "      <th>arpu_7</th>\n",
       "      <th>arpu_8</th>\n",
       "      <th>onnet_mou_6</th>\n",
       "      <th>onnet_mou_7</th>\n",
       "      <th>onnet_mou_8</th>\n",
       "      <th>offnet_mou_6</th>\n",
       "      <th>offnet_mou_7</th>\n",
       "      <th>offnet_mou_8</th>\n",
       "      <th>roam_ic_mou_6</th>\n",
       "      <th>roam_ic_mou_7</th>\n",
       "      <th>roam_ic_mou_8</th>\n",
       "      <th>roam_og_mou_6</th>\n",
       "      <th>roam_og_mou_7</th>\n",
       "      <th>roam_og_mou_8</th>\n",
       "      <th>loc_og_t2t_mou_6</th>\n",
       "      <th>loc_og_t2t_mou_7</th>\n",
       "      <th>loc_og_t2t_mou_8</th>\n",
       "      <th>loc_og_t2m_mou_6</th>\n",
       "      <th>loc_og_t2m_mou_7</th>\n",
       "      <th>loc_og_t2m_mou_8</th>\n",
       "      <th>loc_og_t2f_mou_6</th>\n",
       "      <th>loc_og_t2f_mou_7</th>\n",
       "      <th>loc_og_t2f_mou_8</th>\n",
       "      <th>loc_og_t2c_mou_6</th>\n",
       "      <th>loc_og_t2c_mou_7</th>\n",
       "      <th>loc_og_t2c_mou_8</th>\n",
       "      <th>loc_og_mou_6</th>\n",
       "      <th>loc_og_mou_7</th>\n",
       "      <th>loc_og_mou_8</th>\n",
       "      <th>std_og_t2t_mou_6</th>\n",
       "      <th>std_og_t2t_mou_7</th>\n",
       "      <th>std_og_t2t_mou_8</th>\n",
       "      <th>std_og_t2m_mou_6</th>\n",
       "      <th>std_og_t2m_mou_7</th>\n",
       "      <th>std_og_t2m_mou_8</th>\n",
       "      <th>std_og_t2f_mou_6</th>\n",
       "      <th>std_og_t2f_mou_7</th>\n",
       "      <th>std_og_t2f_mou_8</th>\n",
       "      <th>std_og_t2c_mou_6</th>\n",
       "      <th>std_og_t2c_mou_7</th>\n",
       "      <th>std_og_t2c_mou_8</th>\n",
       "      <th>std_og_mou_6</th>\n",
       "      <th>std_og_mou_7</th>\n",
       "      <th>std_og_mou_8</th>\n",
       "      <th>isd_og_mou_6</th>\n",
       "      <th>isd_og_mou_7</th>\n",
       "      <th>isd_og_mou_8</th>\n",
       "      <th>spl_og_mou_6</th>\n",
       "      <th>spl_og_mou_7</th>\n",
       "      <th>spl_og_mou_8</th>\n",
       "      <th>og_others_6</th>\n",
       "      <th>og_others_7</th>\n",
       "      <th>og_others_8</th>\n",
       "      <th>total_og_mou_6</th>\n",
       "      <th>total_og_mou_7</th>\n",
       "      <th>total_og_mou_8</th>\n",
       "      <th>loc_ic_t2t_mou_6</th>\n",
       "      <th>loc_ic_t2t_mou_7</th>\n",
       "      <th>loc_ic_t2t_mou_8</th>\n",
       "      <th>loc_ic_t2m_mou_6</th>\n",
       "      <th>loc_ic_t2m_mou_7</th>\n",
       "      <th>loc_ic_t2m_mou_8</th>\n",
       "      <th>loc_ic_t2f_mou_6</th>\n",
       "      <th>loc_ic_t2f_mou_7</th>\n",
       "      <th>loc_ic_t2f_mou_8</th>\n",
       "      <th>loc_ic_mou_6</th>\n",
       "      <th>loc_ic_mou_7</th>\n",
       "      <th>loc_ic_mou_8</th>\n",
       "      <th>std_ic_t2t_mou_6</th>\n",
       "      <th>std_ic_t2t_mou_7</th>\n",
       "      <th>std_ic_t2t_mou_8</th>\n",
       "      <th>std_ic_t2m_mou_6</th>\n",
       "      <th>std_ic_t2m_mou_7</th>\n",
       "      <th>std_ic_t2m_mou_8</th>\n",
       "      <th>std_ic_t2f_mou_6</th>\n",
       "      <th>std_ic_t2f_mou_7</th>\n",
       "      <th>std_ic_t2f_mou_8</th>\n",
       "      <th>std_ic_t2o_mou_6</th>\n",
       "      <th>std_ic_t2o_mou_7</th>\n",
       "      <th>std_ic_t2o_mou_8</th>\n",
       "      <th>std_ic_mou_6</th>\n",
       "      <th>std_ic_mou_7</th>\n",
       "      <th>std_ic_mou_8</th>\n",
       "      <th>total_ic_mou_6</th>\n",
       "      <th>total_ic_mou_7</th>\n",
       "      <th>total_ic_mou_8</th>\n",
       "      <th>spl_ic_mou_6</th>\n",
       "      <th>spl_ic_mou_7</th>\n",
       "      <th>spl_ic_mou_8</th>\n",
       "      <th>isd_ic_mou_6</th>\n",
       "      <th>isd_ic_mou_7</th>\n",
       "      <th>isd_ic_mou_8</th>\n",
       "      <th>ic_others_6</th>\n",
       "      <th>ic_others_7</th>\n",
       "      <th>ic_others_8</th>\n",
       "      <th>total_rech_num_6</th>\n",
       "      <th>total_rech_num_7</th>\n",
       "      <th>total_rech_num_8</th>\n",
       "      <th>total_rech_amt_6</th>\n",
       "      <th>total_rech_amt_7</th>\n",
       "      <th>total_rech_amt_8</th>\n",
       "      <th>max_rech_amt_6</th>\n",
       "      <th>max_rech_amt_7</th>\n",
       "      <th>max_rech_amt_8</th>\n",
       "      <th>date_of_last_rech_6</th>\n",
       "      <th>date_of_last_rech_7</th>\n",
       "      <th>date_of_last_rech_8</th>\n",
       "      <th>last_day_rch_amt_6</th>\n",
       "      <th>last_day_rch_amt_7</th>\n",
       "      <th>last_day_rch_amt_8</th>\n",
       "      <th>date_of_last_rech_data_6</th>\n",
       "      <th>date_of_last_rech_data_7</th>\n",
       "      <th>date_of_last_rech_data_8</th>\n",
       "      <th>total_rech_data_6</th>\n",
       "      <th>total_rech_data_7</th>\n",
       "      <th>total_rech_data_8</th>\n",
       "      <th>max_rech_data_6</th>\n",
       "      <th>max_rech_data_7</th>\n",
       "      <th>max_rech_data_8</th>\n",
       "      <th>count_rech_2g_6</th>\n",
       "      <th>count_rech_2g_7</th>\n",
       "      <th>count_rech_2g_8</th>\n",
       "      <th>count_rech_3g_6</th>\n",
       "      <th>count_rech_3g_7</th>\n",
       "      <th>count_rech_3g_8</th>\n",
       "      <th>av_rech_amt_data_6</th>\n",
       "      <th>av_rech_amt_data_7</th>\n",
       "      <th>av_rech_amt_data_8</th>\n",
       "      <th>vol_2g_mb_6</th>\n",
       "      <th>vol_2g_mb_7</th>\n",
       "      <th>vol_2g_mb_8</th>\n",
       "      <th>vol_3g_mb_6</th>\n",
       "      <th>vol_3g_mb_7</th>\n",
       "      <th>vol_3g_mb_8</th>\n",
       "      <th>arpu_3g_6</th>\n",
       "      <th>arpu_3g_7</th>\n",
       "      <th>arpu_3g_8</th>\n",
       "      <th>arpu_2g_6</th>\n",
       "      <th>arpu_2g_7</th>\n",
       "      <th>arpu_2g_8</th>\n",
       "      <th>night_pck_user_6</th>\n",
       "      <th>night_pck_user_7</th>\n",
       "      <th>night_pck_user_8</th>\n",
       "      <th>monthly_2g_6</th>\n",
       "      <th>monthly_2g_7</th>\n",
       "      <th>monthly_2g_8</th>\n",
       "      <th>sachet_2g_6</th>\n",
       "      <th>sachet_2g_7</th>\n",
       "      <th>sachet_2g_8</th>\n",
       "      <th>monthly_3g_6</th>\n",
       "      <th>monthly_3g_7</th>\n",
       "      <th>monthly_3g_8</th>\n",
       "      <th>sachet_3g_6</th>\n",
       "      <th>sachet_3g_7</th>\n",
       "      <th>sachet_3g_8</th>\n",
       "      <th>fb_user_6</th>\n",
       "      <th>fb_user_7</th>\n",
       "      <th>fb_user_8</th>\n",
       "      <th>aon</th>\n",
       "      <th>aug_vbc_3g</th>\n",
       "      <th>jul_vbc_3g</th>\n",
       "      <th>jun_vbc_3g</th>\n",
       "      <th>churn_probability</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6/30/2014</td>\n",
       "      <td>7/31/2014</td>\n",
       "      <td>8/31/2014</td>\n",
       "      <td>31.277</td>\n",
       "      <td>87.009</td>\n",
       "      <td>7.527</td>\n",
       "      <td>48.58</td>\n",
       "      <td>124.38</td>\n",
       "      <td>1.29</td>\n",
       "      <td>32.24</td>\n",
       "      <td>96.68</td>\n",
       "      <td>2.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.28</td>\n",
       "      <td>5.29</td>\n",
       "      <td>16.04</td>\n",
       "      <td>2.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.53</td>\n",
       "      <td>16.04</td>\n",
       "      <td>2.61</td>\n",
       "      <td>46.34</td>\n",
       "      <td>124.38</td>\n",
       "      <td>1.01</td>\n",
       "      <td>18.75</td>\n",
       "      <td>80.61</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65.09</td>\n",
       "      <td>204.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.20</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.21</td>\n",
       "      <td>221.68</td>\n",
       "      <td>3.63</td>\n",
       "      <td>2.43</td>\n",
       "      <td>3.68</td>\n",
       "      <td>7.79</td>\n",
       "      <td>0.83</td>\n",
       "      <td>21.08</td>\n",
       "      <td>16.91</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.26</td>\n",
       "      <td>24.76</td>\n",
       "      <td>24.71</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.61</td>\n",
       "      <td>0.21</td>\n",
       "      <td>7.46</td>\n",
       "      <td>19.96</td>\n",
       "      <td>14.96</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.46</td>\n",
       "      <td>27.58</td>\n",
       "      <td>15.18</td>\n",
       "      <td>11.84</td>\n",
       "      <td>53.04</td>\n",
       "      <td>40.56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.11</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>77</td>\n",
       "      <td>65</td>\n",
       "      <td>10</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>10</td>\n",
       "      <td>6/22/2014</td>\n",
       "      <td>7/10/2014</td>\n",
       "      <td>8/24/2014</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>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>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>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1958</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6/30/2014</td>\n",
       "      <td>7/31/2014</td>\n",
       "      <td>8/31/2014</td>\n",
       "      <td>0.000</td>\n",
       "      <td>122.787</td>\n",
       "      <td>42.953</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>25.99</td>\n",
       "      <td>30.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>22.01</td>\n",
       "      <td>29.79</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>30.73</td>\n",
       "      <td>31.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>30.73</td>\n",
       "      <td>31.66</td>\n",
       "      <td>1.68</td>\n",
       "      <td>19.09</td>\n",
       "      <td>10.53</td>\n",
       "      <td>1.41</td>\n",
       "      <td>18.68</td>\n",
       "      <td>11.09</td>\n",
       "      <td>0.35</td>\n",
       "      <td>1.66</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.44</td>\n",
       "      <td>39.44</td>\n",
       "      <td>25.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.44</td>\n",
       "      <td>39.44</td>\n",
       "      <td>25.04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>6/12/2014</td>\n",
       "      <td>7/10/2014</td>\n",
       "      <td>8/26/2014</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7/8/2014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>352.91</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.96</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122.07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122.08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>710</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6/30/2014</td>\n",
       "      <td>7/31/2014</td>\n",
       "      <td>8/31/2014</td>\n",
       "      <td>60.806</td>\n",
       "      <td>103.176</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.53</td>\n",
       "      <td>15.93</td>\n",
       "      <td>0.00</td>\n",
       "      <td>53.99</td>\n",
       "      <td>82.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.53</td>\n",
       "      <td>12.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>24.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.14</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>24.64</td>\n",
       "      <td>12.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.94</td>\n",
       "      <td>0.00</td>\n",
       "      <td>28.94</td>\n",
       "      <td>82.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.94</td>\n",
       "      <td>84.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.89</td>\n",
       "      <td>1.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56.49</td>\n",
       "      <td>99.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.51</td>\n",
       "      <td>6.16</td>\n",
       "      <td>6.49</td>\n",
       "      <td>89.86</td>\n",
       "      <td>25.18</td>\n",
       "      <td>23.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>94.38</td>\n",
       "      <td>31.34</td>\n",
       "      <td>30.01</td>\n",
       "      <td>11.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>18.21</td>\n",
       "      <td>2.48</td>\n",
       "      <td>6.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.91</td>\n",
       "      <td>2.48</td>\n",
       "      <td>6.38</td>\n",
       "      <td>124.29</td>\n",
       "      <td>33.83</td>\n",
       "      <td>36.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.25</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>70</td>\n",
       "      <td>120</td>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>0</td>\n",
       "      <td>6/11/2014</td>\n",
       "      <td>7/22/2014</td>\n",
       "      <td>8/24/2014</td>\n",
       "      <td>70</td>\n",
       "      <td>50</td>\n",
       "      <td>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>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>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>882</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6/30/2014</td>\n",
       "      <td>7/31/2014</td>\n",
       "      <td>8/31/2014</td>\n",
       "      <td>156.362</td>\n",
       "      <td>205.260</td>\n",
       "      <td>111.095</td>\n",
       "      <td>7.26</td>\n",
       "      <td>16.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>68.76</td>\n",
       "      <td>78.48</td>\n",
       "      <td>50.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.63</td>\n",
       "      <td>6.99</td>\n",
       "      <td>3.94</td>\n",
       "      <td>0.00</td>\n",
       "      <td>37.91</td>\n",
       "      <td>44.89</td>\n",
       "      <td>23.63</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.03</td>\n",
       "      <td>44.91</td>\n",
       "      <td>48.84</td>\n",
       "      <td>23.63</td>\n",
       "      <td>0.26</td>\n",
       "      <td>12.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>15.33</td>\n",
       "      <td>25.93</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.16</td>\n",
       "      <td>37.99</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.95</td>\n",
       "      <td>9.13</td>\n",
       "      <td>25.61</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.03</td>\n",
       "      <td>95.98</td>\n",
       "      <td>53.84</td>\n",
       "      <td>24.98</td>\n",
       "      <td>4.84</td>\n",
       "      <td>23.88</td>\n",
       "      <td>53.99</td>\n",
       "      <td>44.23</td>\n",
       "      <td>57.14</td>\n",
       "      <td>7.23</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.00</td>\n",
       "      <td>86.21</td>\n",
       "      <td>49.89</td>\n",
       "      <td>81.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.89</td>\n",
       "      <td>0.28</td>\n",
       "      <td>2.81</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.89</td>\n",
       "      <td>0.28</td>\n",
       "      <td>2.81</td>\n",
       "      <td>95.11</td>\n",
       "      <td>50.18</td>\n",
       "      <td>83.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>160</td>\n",
       "      <td>240</td>\n",
       "      <td>130</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>50</td>\n",
       "      <td>6/15/2014</td>\n",
       "      <td>7/21/2014</td>\n",
       "      <td>8/25/2014</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>50</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",
       "      <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>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>982</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6/30/2014</td>\n",
       "      <td>7/31/2014</td>\n",
       "      <td>8/31/2014</td>\n",
       "      <td>240.708</td>\n",
       "      <td>128.191</td>\n",
       "      <td>101.565</td>\n",
       "      <td>21.28</td>\n",
       "      <td>4.83</td>\n",
       "      <td>6.13</td>\n",
       "      <td>56.99</td>\n",
       "      <td>38.11</td>\n",
       "      <td>9.63</td>\n",
       "      <td>53.64</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>15.73</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.16</td>\n",
       "      <td>4.83</td>\n",
       "      <td>6.13</td>\n",
       "      <td>36.74</td>\n",
       "      <td>19.88</td>\n",
       "      <td>4.61</td>\n",
       "      <td>11.99</td>\n",
       "      <td>1.23</td>\n",
       "      <td>5.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.85</td>\n",
       "      <td>0.00</td>\n",
       "      <td>58.91</td>\n",
       "      <td>25.94</td>\n",
       "      <td>15.76</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.35</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>63.26</td>\n",
       "      <td>42.94</td>\n",
       "      <td>15.76</td>\n",
       "      <td>5.44</td>\n",
       "      <td>1.39</td>\n",
       "      <td>2.66</td>\n",
       "      <td>10.58</td>\n",
       "      <td>4.33</td>\n",
       "      <td>19.49</td>\n",
       "      <td>5.51</td>\n",
       "      <td>3.63</td>\n",
       "      <td>6.14</td>\n",
       "      <td>21.54</td>\n",
       "      <td>9.36</td>\n",
       "      <td>28.31</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>21.54</td>\n",
       "      <td>9.36</td>\n",
       "      <td>28.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>290</td>\n",
       "      <td>136</td>\n",
       "      <td>122</td>\n",
       "      <td>50</td>\n",
       "      <td>41</td>\n",
       "      <td>30</td>\n",
       "      <td>6/25/2014</td>\n",
       "      <td>7/26/2014</td>\n",
       "      <td>8/30/2014</td>\n",
       "      <td>25</td>\n",
       "      <td>10</td>\n",
       "      <td>30</td>\n",
       "      <td>6/25/2014</td>\n",
       "      <td>7/23/2014</td>\n",
       "      <td>8/20/2014</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>390.80</td>\n",
       "      <td>308.89</td>\n",
       "      <td>213.47</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.12</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>647</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6/30/2014</td>\n",
       "      <td>7/31/2014</td>\n",
       "      <td>8/31/2014</td>\n",
       "      <td>86.193</td>\n",
       "      <td>83.351</td>\n",
       "      <td>88.462</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.78</td>\n",
       "      <td>0.45</td>\n",
       "      <td>17.14</td>\n",
       "      <td>24.26</td>\n",
       "      <td>3.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.78</td>\n",
       "      <td>0.45</td>\n",
       "      <td>3.56</td>\n",
       "      <td>20.63</td>\n",
       "      <td>3.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.50</td>\n",
       "      <td>15.28</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.96</td>\n",
       "      <td>22.41</td>\n",
       "      <td>3.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.08</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.08</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.50</td>\n",
       "      <td>18.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.54</td>\n",
       "      <td>41.76</td>\n",
       "      <td>3.89</td>\n",
       "      <td>17.51</td>\n",
       "      <td>37.94</td>\n",
       "      <td>34.18</td>\n",
       "      <td>221.79</td>\n",
       "      <td>296.31</td>\n",
       "      <td>125.66</td>\n",
       "      <td>27.96</td>\n",
       "      <td>38.13</td>\n",
       "      <td>41.08</td>\n",
       "      <td>267.28</td>\n",
       "      <td>372.39</td>\n",
       "      <td>200.93</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.83</td>\n",
       "      <td>4.46</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.44</td>\n",
       "      <td>8.13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.83</td>\n",
       "      <td>10.91</td>\n",
       "      <td>8.13</td>\n",
       "      <td>271.29</td>\n",
       "      <td>383.51</td>\n",
       "      <td>209.43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.24</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>100</td>\n",
       "      <td>90</td>\n",
       "      <td>100</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>6/30/2014</td>\n",
       "      <td>7/27/2014</td>\n",
       "      <td>8/28/2014</td>\n",
       "      <td>30</td>\n",
       "      <td>20</td>\n",
       "      <td>30</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",
       "      <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>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>698</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6/30/2014</td>\n",
       "      <td>7/31/2014</td>\n",
       "      <td>8/31/2014</td>\n",
       "      <td>54.173</td>\n",
       "      <td>95.130</td>\n",
       "      <td>6.386</td>\n",
       "      <td>38.81</td>\n",
       "      <td>40.56</td>\n",
       "      <td>19.61</td>\n",
       "      <td>31.63</td>\n",
       "      <td>54.18</td>\n",
       "      <td>5.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>38.81</td>\n",
       "      <td>24.51</td>\n",
       "      <td>19.61</td>\n",
       "      <td>31.63</td>\n",
       "      <td>54.18</td>\n",
       "      <td>5.58</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>70.44</td>\n",
       "      <td>78.69</td>\n",
       "      <td>25.19</td>\n",
       "      <td>0.00</td>\n",
       "      <td>16.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>16.05</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.44</td>\n",
       "      <td>94.74</td>\n",
       "      <td>25.31</td>\n",
       "      <td>94.09</td>\n",
       "      <td>54.59</td>\n",
       "      <td>86.83</td>\n",
       "      <td>7.38</td>\n",
       "      <td>0.81</td>\n",
       "      <td>31.53</td>\n",
       "      <td>0.16</td>\n",
       "      <td>3.36</td>\n",
       "      <td>3.46</td>\n",
       "      <td>101.64</td>\n",
       "      <td>58.78</td>\n",
       "      <td>121.83</td>\n",
       "      <td>3.58</td>\n",
       "      <td>4.34</td>\n",
       "      <td>2.95</td>\n",
       "      <td>0.91</td>\n",
       "      <td>1.16</td>\n",
       "      <td>9.78</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.49</td>\n",
       "      <td>5.69</td>\n",
       "      <td>12.73</td>\n",
       "      <td>106.14</td>\n",
       "      <td>64.48</td>\n",
       "      <td>134.56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>130</td>\n",
       "      <td>0</td>\n",
       "      <td>130</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>130</td>\n",
       "      <td>6/29/2014</td>\n",
       "      <td>7/19/2014</td>\n",
       "      <td>8/26/2014</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>130</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",
       "      <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>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1083</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6/30/2014</td>\n",
       "      <td>7/31/2014</td>\n",
       "      <td>8/31/2014</td>\n",
       "      <td>167.861</td>\n",
       "      <td>167.869</td>\n",
       "      <td>167.866</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.36</td>\n",
       "      <td>6.04</td>\n",
       "      <td>28.44</td>\n",
       "      <td>13.41</td>\n",
       "      <td>9.16</td>\n",
       "      <td>8.73</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.14</td>\n",
       "      <td>24.78</td>\n",
       "      <td>15.21</td>\n",
       "      <td>41.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.68</td>\n",
       "      <td>2.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.68</td>\n",
       "      <td>2.49</td>\n",
       "      <td>25.11</td>\n",
       "      <td>15.89</td>\n",
       "      <td>43.83</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>6/20/2014</td>\n",
       "      <td>7/22/2014</td>\n",
       "      <td>8/28/2014</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>0</td>\n",
       "      <td>6/20/2014</td>\n",
       "      <td>7/22/2014</td>\n",
       "      <td>8/20/2014</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>167.53</td>\n",
       "      <td>6.29</td>\n",
       "      <td>5.40</td>\n",
       "      <td>177.9</td>\n",
       "      <td>151.58</td>\n",
       "      <td>271.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>584</td>\n",
       "      <td>82.26</td>\n",
       "      <td>73.56</td>\n",
       "      <td>177.14</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6/30/2014</td>\n",
       "      <td>7/31/2014</td>\n",
       "      <td>8/31/2014</td>\n",
       "      <td>163.550</td>\n",
       "      <td>90.250</td>\n",
       "      <td>51.726</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>47.81</td>\n",
       "      <td>50.88</td>\n",
       "      <td>21.74</td>\n",
       "      <td>28.26</td>\n",
       "      <td>11.31</td>\n",
       "      <td>47.81</td>\n",
       "      <td>47.81</td>\n",
       "      <td>50.88</td>\n",
       "      <td>21.74</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>6/28/2014</td>\n",
       "      <td>7/30/2014</td>\n",
       "      <td>8/19/2014</td>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>150</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",
       "      <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>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2455</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6/30/2014</td>\n",
       "      <td>7/31/2014</td>\n",
       "      <td>8/31/2014</td>\n",
       "      <td>101.984</td>\n",
       "      <td>259.265</td>\n",
       "      <td>65.686</td>\n",
       "      <td>27.49</td>\n",
       "      <td>111.78</td>\n",
       "      <td>53.38</td>\n",
       "      <td>110.51</td>\n",
       "      <td>124.04</td>\n",
       "      <td>85.54</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>32.28</td>\n",
       "      <td>0.00</td>\n",
       "      <td>27.49</td>\n",
       "      <td>94.74</td>\n",
       "      <td>53.38</td>\n",
       "      <td>103.44</td>\n",
       "      <td>104.88</td>\n",
       "      <td>77.99</td>\n",
       "      <td>2.41</td>\n",
       "      <td>3.43</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>133.36</td>\n",
       "      <td>203.06</td>\n",
       "      <td>131.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.64</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.55</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.64</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.55</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>138.01</td>\n",
       "      <td>203.54</td>\n",
       "      <td>138.93</td>\n",
       "      <td>60.88</td>\n",
       "      <td>259.66</td>\n",
       "      <td>60.48</td>\n",
       "      <td>250.21</td>\n",
       "      <td>243.13</td>\n",
       "      <td>191.64</td>\n",
       "      <td>13.94</td>\n",
       "      <td>24.46</td>\n",
       "      <td>15.11</td>\n",
       "      <td>325.04</td>\n",
       "      <td>527.26</td>\n",
       "      <td>267.24</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.64</td>\n",
       "      <td>13.64</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.51</td>\n",
       "      <td>6.64</td>\n",
       "      <td>13.64</td>\n",
       "      <td>328.56</td>\n",
       "      <td>533.91</td>\n",
       "      <td>280.89</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>128</td>\n",
       "      <td>160</td>\n",
       "      <td>279</td>\n",
       "      <td>128</td>\n",
       "      <td>110</td>\n",
       "      <td>149</td>\n",
       "      <td>6/27/2014</td>\n",
       "      <td>7/16/2014</td>\n",
       "      <td>8/28/2014</td>\n",
       "      <td>128</td>\n",
       "      <td>0</td>\n",
       "      <td>149</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",
       "      <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>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2530</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  circle_id  loc_og_t2o_mou  std_og_t2o_mou  loc_ic_t2o_mou  \\\n",
       "0   0        109             0.0             0.0             0.0   \n",
       "1   1        109             0.0             0.0             0.0   \n",
       "2   2        109             0.0             0.0             0.0   \n",
       "3   3        109             0.0             0.0             0.0   \n",
       "4   4        109             0.0             0.0             0.0   \n",
       "5   5        109             0.0             0.0             0.0   \n",
       "6   6        109             0.0             0.0             0.0   \n",
       "7   7        109             0.0             0.0             0.0   \n",
       "8   8        109             0.0             0.0             0.0   \n",
       "9   9        109             0.0             0.0             0.0   \n",
       "\n",
       "  last_date_of_month_6 last_date_of_month_7 last_date_of_month_8   arpu_6  \\\n",
       "0            6/30/2014            7/31/2014            8/31/2014   31.277   \n",
       "1            6/30/2014            7/31/2014            8/31/2014    0.000   \n",
       "2            6/30/2014            7/31/2014            8/31/2014   60.806   \n",
       "3            6/30/2014            7/31/2014            8/31/2014  156.362   \n",
       "4            6/30/2014            7/31/2014            8/31/2014  240.708   \n",
       "5            6/30/2014            7/31/2014            8/31/2014   86.193   \n",
       "6            6/30/2014            7/31/2014            8/31/2014   54.173   \n",
       "7            6/30/2014            7/31/2014            8/31/2014  167.861   \n",
       "8            6/30/2014            7/31/2014            8/31/2014  163.550   \n",
       "9            6/30/2014            7/31/2014            8/31/2014  101.984   \n",
       "\n",
       "    arpu_7   arpu_8  onnet_mou_6  onnet_mou_7  onnet_mou_8  offnet_mou_6  \\\n",
       "0   87.009    7.527        48.58       124.38         1.29         32.24   \n",
       "1  122.787   42.953         0.00         0.00         0.00          0.00   \n",
       "2  103.176    0.000         0.53        15.93         0.00         53.99   \n",
       "3  205.260  111.095         7.26        16.01         0.00         68.76   \n",
       "4  128.191  101.565        21.28         4.83         6.13         56.99   \n",
       "5   83.351   88.462         1.39         1.78         0.45         17.14   \n",
       "6   95.130    6.386        38.81        40.56        19.61         31.63   \n",
       "7  167.869  167.866         0.00         0.00         0.00          0.00   \n",
       "8   90.250   51.726         0.00         0.00         0.00         47.81   \n",
       "9  259.265   65.686        27.49       111.78        53.38        110.51   \n",
       "\n",
       "   offnet_mou_7  offnet_mou_8  roam_ic_mou_6  roam_ic_mou_7  roam_ic_mou_8  \\\n",
       "0         96.68          2.33           0.00           0.00           0.00   \n",
       "1         25.99         30.89           0.00           0.00           0.00   \n",
       "2         82.05          0.00           0.00           0.00           0.00   \n",
       "3         78.48         50.23           0.00           0.00           0.00   \n",
       "4         38.11          9.63          53.64           0.00           0.00   \n",
       "5         24.26          3.44           0.00           0.00           0.00   \n",
       "6         54.18          5.69           0.00           0.00           0.00   \n",
       "7          0.00          0.00           0.00           0.00           0.00   \n",
       "8         50.88         21.74          28.26          11.31          47.81   \n",
       "9        124.04         85.54           0.00           7.23           0.00   \n",
       "\n",
       "   roam_og_mou_6  roam_og_mou_7  roam_og_mou_8  loc_og_t2t_mou_6  \\\n",
       "0           0.00           0.00           0.00              2.23   \n",
       "1           0.00           0.00           0.00              0.00   \n",
       "2           0.00           0.00           0.00              0.53   \n",
       "3           0.00           0.00           1.63              6.99   \n",
       "4          15.73           0.00           0.00             10.16   \n",
       "5           0.00           0.00           0.00              1.39   \n",
       "6           0.00           0.00           0.00             38.81   \n",
       "7           0.00           0.00           0.00              0.00   \n",
       "8          47.81          50.88          21.74              0.00   \n",
       "9           0.00          32.28           0.00             27.49   \n",
       "\n",
       "   loc_og_t2t_mou_7  loc_og_t2t_mou_8  loc_og_t2m_mou_6  loc_og_t2m_mou_7  \\\n",
       "0              0.00              0.28              5.29             16.04   \n",
       "1              0.00              0.00              0.00              0.00   \n",
       "2             12.98              0.00             24.11              0.00   \n",
       "3              3.94              0.00             37.91             44.89   \n",
       "4              4.83              6.13             36.74             19.88   \n",
       "5              1.78              0.45              3.56             20.63   \n",
       "6             24.51             19.61             31.63             54.18   \n",
       "7              0.00              0.00              0.00              0.00   \n",
       "8              0.00              0.00              0.00              0.00   \n",
       "9             94.74             53.38            103.44            104.88   \n",
       "\n",
       "   loc_og_t2m_mou_8  loc_og_t2f_mou_6  loc_og_t2f_mou_7  loc_og_t2f_mou_8  \\\n",
       "0              2.33              0.00              0.00              0.00   \n",
       "1              0.00              0.00              0.00              0.00   \n",
       "2              0.00              0.00              0.00              0.00   \n",
       "3             23.63              0.00              0.00              0.00   \n",
       "4              4.61             11.99              1.23              5.01   \n",
       "5              3.44              0.00              0.00              0.00   \n",
       "6              5.58              0.00              0.00              0.00   \n",
       "7              0.00              0.00              0.00              0.00   \n",
       "8              0.00              0.00              0.00              0.00   \n",
       "9             77.99              2.41              3.43              0.00   \n",
       "\n",
       "   loc_og_t2c_mou_6  loc_og_t2c_mou_7  loc_og_t2c_mou_8  loc_og_mou_6  \\\n",
       "0              0.00              0.00              0.00          7.53   \n",
       "1              0.00             22.01             29.79          0.00   \n",
       "2              2.14              0.00              0.00         24.64   \n",
       "3              0.00              0.00              8.03         44.91   \n",
       "4              0.00              9.85              0.00         58.91   \n",
       "5             11.50             15.28              0.00          4.96   \n",
       "6              0.00              0.00              0.00         70.44   \n",
       "7              0.00              0.00              0.00          0.00   \n",
       "8              0.00              0.00              0.00          0.00   \n",
       "9              0.00              0.00              0.00        133.36   \n",
       "\n",
       "   loc_og_mou_7  loc_og_mou_8  std_og_t2t_mou_6  std_og_t2t_mou_7  \\\n",
       "0         16.04          2.61             46.34            124.38   \n",
       "1          0.00          0.00              0.00              0.00   \n",
       "2         12.98          0.00              0.00              2.94   \n",
       "3         48.84         23.63              0.26             12.06   \n",
       "4         25.94         15.76              0.00              0.00   \n",
       "5         22.41          3.89              0.00              0.00   \n",
       "6         78.69         25.19              0.00             16.05   \n",
       "7          0.00          0.00              0.00              0.00   \n",
       "8          0.00          0.00              0.00              0.00   \n",
       "9        203.06        131.38              0.00              0.00   \n",
       "\n",
       "   std_og_t2t_mou_8  std_og_t2m_mou_6  std_og_t2m_mou_7  std_og_t2m_mou_8  \\\n",
       "0              1.01             18.75             80.61              0.00   \n",
       "1              0.00              0.00              0.00              0.00   \n",
       "2              0.00             28.94             82.05              0.00   \n",
       "3              0.00             15.33             25.93              4.60   \n",
       "4              0.00              4.35              0.00              0.00   \n",
       "5              0.00              0.00              0.65              0.00   \n",
       "6              0.00              0.00              0.00              0.11   \n",
       "7              0.00              0.00              0.00              0.00   \n",
       "8              0.00              0.00              0.00              0.00   \n",
       "9              0.00              4.64              0.00              7.55   \n",
       "\n",
       "   std_og_t2f_mou_6  std_og_t2f_mou_7  std_og_t2f_mou_8  std_og_t2c_mou_6  \\\n",
       "0              0.00               0.0               0.0               0.0   \n",
       "1              0.00               0.0               0.0               0.0   \n",
       "2              0.00               0.0               0.0               0.0   \n",
       "3              0.56               0.0               0.0               0.0   \n",
       "4              0.00               0.0               0.0               0.0   \n",
       "5              2.08               0.0               0.0               0.0   \n",
       "6              0.00               0.0               0.0               0.0   \n",
       "7              0.00               0.0               0.0               0.0   \n",
       "8              0.00               0.0               0.0               0.0   \n",
       "9              0.00               0.0               0.0               0.0   \n",
       "\n",
       "   std_og_t2c_mou_7  std_og_t2c_mou_8  std_og_mou_6  std_og_mou_7  \\\n",
       "0               0.0               0.0         65.09        204.99   \n",
       "1               0.0               0.0          0.00          0.00   \n",
       "2               0.0               0.0         28.94         84.99   \n",
       "3               0.0               0.0         16.16         37.99   \n",
       "4               0.0               0.0          4.35          0.00   \n",
       "5               0.0               0.0          2.08          0.65   \n",
       "6               0.0               0.0          0.00         16.05   \n",
       "7               0.0               0.0          0.00          0.00   \n",
       "8               0.0               0.0          0.00          0.00   \n",
       "9               0.0               0.0          4.64          0.00   \n",
       "\n",
       "   std_og_mou_8  isd_og_mou_6  isd_og_mou_7  isd_og_mou_8  spl_og_mou_6  \\\n",
       "0          1.01           0.0           0.0           0.0          8.20   \n",
       "1          0.00           0.0           0.0           0.0          0.00   \n",
       "2          0.00           0.0           0.0           0.0          2.89   \n",
       "3          4.60           0.0           0.0           0.0         14.95   \n",
       "4          0.00           0.0           0.0           0.0          0.00   \n",
       "5          0.00           0.0           0.0           0.0         11.50   \n",
       "6          0.11           0.0           0.0           0.0          0.00   \n",
       "7          0.00           0.0           0.0           0.0          0.00   \n",
       "8          0.00           0.0           0.0           0.0          0.00   \n",
       "9          7.55           0.0           0.0           0.0          0.00   \n",
       "\n",
       "   spl_og_mou_7  spl_og_mou_8  og_others_6  og_others_7  og_others_8  \\\n",
       "0          0.63          0.00         0.38          0.0          0.0   \n",
       "1         30.73         31.66         0.00          0.0          0.0   \n",
       "2          1.38          0.00         0.00          0.0          0.0   \n",
       "3          9.13         25.61         0.00          0.0          0.0   \n",
       "4         17.00          0.00         0.00          0.0          0.0   \n",
       "5         18.69          0.00         0.00          0.0          0.0   \n",
       "6          0.00          0.00         0.00          0.0          0.0   \n",
       "7          0.00          0.00         0.00          0.0          0.0   \n",
       "8          0.00          0.00         0.00          0.0          0.0   \n",
       "9          0.48          0.00         0.00          0.0          0.0   \n",
       "\n",
       "   total_og_mou_6  total_og_mou_7  total_og_mou_8  loc_ic_t2t_mou_6  \\\n",
       "0           81.21          221.68            3.63              2.43   \n",
       "1            0.00           30.73           31.66              1.68   \n",
       "2           56.49           99.36            0.00              4.51   \n",
       "3           76.03           95.98           53.84             24.98   \n",
       "4           63.26           42.94           15.76              5.44   \n",
       "5           18.54           41.76            3.89             17.51   \n",
       "6           70.44           94.74           25.31             94.09   \n",
       "7            0.00            0.00            0.00             11.36   \n",
       "8            0.00            0.00            0.00              0.00   \n",
       "9          138.01          203.54          138.93             60.88   \n",
       "\n",
       "   loc_ic_t2t_mou_7  loc_ic_t2t_mou_8  loc_ic_t2m_mou_6  loc_ic_t2m_mou_7  \\\n",
       "0              3.68              7.79              0.83             21.08   \n",
       "1             19.09             10.53              1.41             18.68   \n",
       "2              6.16              6.49             89.86             25.18   \n",
       "3              4.84             23.88             53.99             44.23   \n",
       "4              1.39              2.66             10.58              4.33   \n",
       "5             37.94             34.18            221.79            296.31   \n",
       "6             54.59             86.83              7.38              0.81   \n",
       "7              6.04             28.44             13.41              9.16   \n",
       "8              0.00              0.00              0.00              0.00   \n",
       "9            259.66             60.48            250.21            243.13   \n",
       "\n",
       "   loc_ic_t2m_mou_8  loc_ic_t2f_mou_6  loc_ic_t2f_mou_7  loc_ic_t2f_mou_8  \\\n",
       "0             16.91              0.00              0.00              0.00   \n",
       "1             11.09              0.35              1.66              3.40   \n",
       "2             23.51              0.00              0.00              0.00   \n",
       "3             57.14              7.23              0.81              0.00   \n",
       "4             19.49              5.51              3.63              6.14   \n",
       "5            125.66             27.96             38.13             41.08   \n",
       "6             31.53              0.16              3.36              3.46   \n",
       "7              8.73              0.00              0.00              4.14   \n",
       "8              0.00              0.00              0.00              0.00   \n",
       "9            191.64             13.94             24.46             15.11   \n",
       "\n",
       "   loc_ic_mou_6  loc_ic_mou_7  loc_ic_mou_8  std_ic_t2t_mou_6  \\\n",
       "0          3.26         24.76         24.71              0.00   \n",
       "1          3.44         39.44         25.03              0.00   \n",
       "2         94.38         31.34         30.01             11.69   \n",
       "3         86.21         49.89         81.03              0.00   \n",
       "4         21.54          9.36         28.31              0.00   \n",
       "5        267.28        372.39        200.93              0.00   \n",
       "6        101.64         58.78        121.83              3.58   \n",
       "7         24.78         15.21         41.33              0.00   \n",
       "8          0.00          0.00          0.00              0.00   \n",
       "9        325.04        527.26        267.24              0.00   \n",
       "\n",
       "   std_ic_t2t_mou_7  std_ic_t2t_mou_8  std_ic_t2m_mou_6  std_ic_t2m_mou_7  \\\n",
       "0              7.61              0.21              7.46             19.96   \n",
       "1              0.00              0.00              0.00              0.00   \n",
       "2              0.00              0.00             18.21              2.48   \n",
       "3              0.00              0.00              8.89              0.28   \n",
       "4              0.00              0.00              0.00              0.00   \n",
       "5              0.00              0.00              3.83              4.46   \n",
       "6              4.34              2.95              0.91              1.16   \n",
       "7              0.00              0.00              0.00              0.00   \n",
       "8              0.00              0.00              0.00              0.00   \n",
       "9              0.00              0.00              0.00              6.64   \n",
       "\n",
       "   std_ic_t2m_mou_8  std_ic_t2f_mou_6  std_ic_t2f_mou_7  std_ic_t2f_mou_8  \\\n",
       "0             14.96              0.00              0.00              0.00   \n",
       "1              0.00              0.00              0.00              0.00   \n",
       "2              6.38              0.00              0.00              0.00   \n",
       "3              2.81              0.00              0.00              0.00   \n",
       "4              0.00              0.00              0.00              0.00   \n",
       "5              0.00              0.00              6.44              8.13   \n",
       "6              9.78              0.00              0.18              0.00   \n",
       "7              0.00              0.33              0.68              2.49   \n",
       "8              0.00              0.00              0.00              0.00   \n",
       "9             13.64              3.51              0.00              0.00   \n",
       "\n",
       "   std_ic_t2o_mou_6  std_ic_t2o_mou_7  std_ic_t2o_mou_8  std_ic_mou_6  \\\n",
       "0               0.0               0.0               0.0          7.46   \n",
       "1               0.0               0.0               0.0          0.00   \n",
       "2               0.0               0.0               0.0         29.91   \n",
       "3               0.0               0.0               0.0          8.89   \n",
       "4               0.0               0.0               0.0          0.00   \n",
       "5               0.0               0.0               0.0          3.83   \n",
       "6               0.0               0.0               0.0          4.49   \n",
       "7               0.0               0.0               0.0          0.33   \n",
       "8               0.0               0.0               0.0          0.00   \n",
       "9               0.0               0.0               0.0          3.51   \n",
       "\n",
       "   std_ic_mou_7  std_ic_mou_8  total_ic_mou_6  total_ic_mou_7  total_ic_mou_8  \\\n",
       "0         27.58         15.18           11.84           53.04           40.56   \n",
       "1          0.00          0.00            3.44           39.44           25.04   \n",
       "2          2.48          6.38          124.29           33.83           36.64   \n",
       "3          0.28          2.81           95.11           50.18           83.84   \n",
       "4          0.00          0.00           21.54            9.36           28.31   \n",
       "5         10.91          8.13          271.29          383.51          209.43   \n",
       "6          5.69         12.73          106.14           64.48          134.56   \n",
       "7          0.68          2.49           25.11           15.89           43.83   \n",
       "8          0.00          0.00            0.00            0.00            0.00   \n",
       "9          6.64         13.64          328.56          533.91          280.89   \n",
       "\n",
       "   spl_ic_mou_6  spl_ic_mou_7  spl_ic_mou_8  isd_ic_mou_6  isd_ic_mou_7  \\\n",
       "0           0.0           0.0          0.66           0.0           0.0   \n",
       "1           0.0           0.0          0.01           0.0           0.0   \n",
       "2           0.0           0.0          0.00           0.0           0.0   \n",
       "3           0.0           0.0          0.00           0.0           0.0   \n",
       "4           0.0           0.0          0.00           0.0           0.0   \n",
       "5           0.0           0.0          0.11           0.0           0.0   \n",
       "6           0.0           0.0          0.00           0.0           0.0   \n",
       "7           0.0           0.0          0.00           0.0           0.0   \n",
       "8           0.0           0.0          0.00           0.0           0.0   \n",
       "9           0.0           0.0          0.00           0.0           0.0   \n",
       "\n",
       "   isd_ic_mou_8  ic_others_6  ic_others_7  ic_others_8  total_rech_num_6  \\\n",
       "0           0.0         1.11         0.69         0.00                 3   \n",
       "1           0.0         0.00         0.00         0.00                 3   \n",
       "2           0.0         0.00         0.00         0.25                 2   \n",
       "3           0.0         0.00         0.00         0.00                 2   \n",
       "4           0.0         0.00         0.00         0.00                13   \n",
       "5           0.0         0.18         0.19         0.24                 9   \n",
       "6           0.0         0.00         0.00         0.00                 3   \n",
       "7           0.0         0.00         0.00         0.00                 2   \n",
       "8           0.0         0.00         0.00         0.00                 2   \n",
       "9           0.0         0.00         0.00         0.00                 4   \n",
       "\n",
       "   total_rech_num_7  total_rech_num_8  total_rech_amt_6  total_rech_amt_7  \\\n",
       "0                 2                 2                77                65   \n",
       "1                 4                 5                 0               145   \n",
       "2                 4                 2                70               120   \n",
       "3                 4                 3               160               240   \n",
       "4                10                 8               290               136   \n",
       "5                 8                10               100                90   \n",
       "6                 2                 3               130                 0   \n",
       "7                 3                 2               198               198   \n",
       "8                 3                 1               200                 0   \n",
       "9                 3                 2               128               160   \n",
       "\n",
       "   total_rech_amt_8  max_rech_amt_6  max_rech_amt_7  max_rech_amt_8  \\\n",
       "0                10              65              65              10   \n",
       "1                50               0             145              50   \n",
       "2                 0              70              70               0   \n",
       "3               130             110             110              50   \n",
       "4               122              50              41              30   \n",
       "5               100              30              30              30   \n",
       "6               130             110               0             130   \n",
       "7               198             198             198             198   \n",
       "8               150             200               0             150   \n",
       "9               279             128             110             149   \n",
       "\n",
       "  date_of_last_rech_6 date_of_last_rech_7 date_of_last_rech_8  \\\n",
       "0           6/22/2014           7/10/2014           8/24/2014   \n",
       "1           6/12/2014           7/10/2014           8/26/2014   \n",
       "2           6/11/2014           7/22/2014           8/24/2014   \n",
       "3           6/15/2014           7/21/2014           8/25/2014   \n",
       "4           6/25/2014           7/26/2014           8/30/2014   \n",
       "5           6/30/2014           7/27/2014           8/28/2014   \n",
       "6           6/29/2014           7/19/2014           8/26/2014   \n",
       "7           6/20/2014           7/22/2014           8/28/2014   \n",
       "8           6/28/2014           7/30/2014           8/19/2014   \n",
       "9           6/27/2014           7/16/2014           8/28/2014   \n",
       "\n",
       "   last_day_rch_amt_6  last_day_rch_amt_7  last_day_rch_amt_8  \\\n",
       "0                  65                  65                   0   \n",
       "1                   0                   0                   0   \n",
       "2                  70                  50                   0   \n",
       "3                 110                 110                  50   \n",
       "4                  25                  10                  30   \n",
       "5                  30                  20                  30   \n",
       "6                 110                   0                 130   \n",
       "7                 198                 198                   0   \n",
       "8                 200                   0                 150   \n",
       "9                 128                   0                 149   \n",
       "\n",
       "  date_of_last_rech_data_6 date_of_last_rech_data_7 date_of_last_rech_data_8  \\\n",
       "0                      NaN                      NaN                      NaN   \n",
       "1                      NaN                 7/8/2014                      NaN   \n",
       "2                      NaN                      NaN                      NaN   \n",
       "3                      NaN                      NaN                      NaN   \n",
       "4                6/25/2014                7/23/2014                8/20/2014   \n",
       "5                      NaN                      NaN                      NaN   \n",
       "6                      NaN                      NaN                      NaN   \n",
       "7                6/20/2014                7/22/2014                8/20/2014   \n",
       "8                      NaN                      NaN                      NaN   \n",
       "9                      NaN                      NaN                      NaN   \n",
       "\n",
       "   total_rech_data_6  total_rech_data_7  total_rech_data_8  max_rech_data_6  \\\n",
       "0                NaN                NaN                NaN              NaN   \n",
       "1                NaN                1.0                NaN              NaN   \n",
       "2                NaN                NaN                NaN              NaN   \n",
       "3                NaN                NaN                NaN              NaN   \n",
       "4                7.0                7.0                6.0             25.0   \n",
       "5                NaN                NaN                NaN              NaN   \n",
       "6                NaN                NaN                NaN              NaN   \n",
       "7                1.0                1.0                1.0            198.0   \n",
       "8                NaN                NaN                NaN              NaN   \n",
       "9                NaN                NaN                NaN              NaN   \n",
       "\n",
       "   max_rech_data_7  max_rech_data_8  count_rech_2g_6  count_rech_2g_7  \\\n",
       "0              NaN              NaN              NaN              NaN   \n",
       "1            145.0              NaN              NaN              0.0   \n",
       "2              NaN              NaN              NaN              NaN   \n",
       "3              NaN              NaN              NaN              NaN   \n",
       "4             41.0             25.0              7.0              6.0   \n",
       "5              NaN              NaN              NaN              NaN   \n",
       "6              NaN              NaN              NaN              NaN   \n",
       "7            198.0            198.0              1.0              1.0   \n",
       "8              NaN              NaN              NaN              NaN   \n",
       "9              NaN              NaN              NaN              NaN   \n",
       "\n",
       "   count_rech_2g_8  count_rech_3g_6  count_rech_3g_7  count_rech_3g_8  \\\n",
       "0              NaN              NaN              NaN              NaN   \n",
       "1              NaN              NaN              1.0              NaN   \n",
       "2              NaN              NaN              NaN              NaN   \n",
       "3              NaN              NaN              NaN              NaN   \n",
       "4              6.0              0.0              1.0              0.0   \n",
       "5              NaN              NaN              NaN              NaN   \n",
       "6              NaN              NaN              NaN              NaN   \n",
       "7              1.0              0.0              0.0              0.0   \n",
       "8              NaN              NaN              NaN              NaN   \n",
       "9              NaN              NaN              NaN              NaN   \n",
       "\n",
       "   av_rech_amt_data_6  av_rech_amt_data_7  av_rech_amt_data_8  vol_2g_mb_6  \\\n",
       "0                 NaN                 NaN                 NaN         0.00   \n",
       "1                 NaN               145.0                 NaN         0.00   \n",
       "2                 NaN                 NaN                 NaN         0.00   \n",
       "3                 NaN                 NaN                 NaN         0.00   \n",
       "4               175.0               191.0               142.0       390.80   \n",
       "5                 NaN                 NaN                 NaN         0.00   \n",
       "6                 NaN                 NaN                 NaN         0.00   \n",
       "7               198.0               198.0               198.0       167.53   \n",
       "8                 NaN                 NaN                 NaN         0.00   \n",
       "9                 NaN                 NaN                 NaN         0.00   \n",
       "\n",
       "   vol_2g_mb_7  vol_2g_mb_8  vol_3g_mb_6  vol_3g_mb_7  vol_3g_mb_8  arpu_3g_6  \\\n",
       "0         0.00         0.00          0.0         0.00          0.0        NaN   \n",
       "1       352.91         0.00          0.0         3.96          0.0        NaN   \n",
       "2         0.00         0.00          0.0         0.00          0.0        NaN   \n",
       "3         0.00         0.00          0.0         0.00          0.0        NaN   \n",
       "4       308.89       213.47          0.0         0.00          0.0        0.0   \n",
       "5         0.00         0.00          0.0         0.00          0.0        NaN   \n",
       "6         0.00         0.00          0.0         0.00          0.0        NaN   \n",
       "7         6.29         5.40        177.9       151.58        271.4        0.0   \n",
       "8         0.00         0.00          0.0         0.00          0.0        NaN   \n",
       "9         0.00         0.00          0.0         0.00          0.0        NaN   \n",
       "\n",
       "   arpu_3g_7  arpu_3g_8  arpu_2g_6  arpu_2g_7  arpu_2g_8  night_pck_user_6  \\\n",
       "0        NaN        NaN        NaN        NaN        NaN               NaN   \n",
       "1     122.07        NaN        NaN     122.08        NaN               NaN   \n",
       "2        NaN        NaN        NaN        NaN        NaN               NaN   \n",
       "3        NaN        NaN        NaN        NaN        NaN               NaN   \n",
       "4      35.00        0.0        0.0      35.12        0.0               0.0   \n",
       "5        NaN        NaN        NaN        NaN        NaN               NaN   \n",
       "6        NaN        NaN        NaN        NaN        NaN               NaN   \n",
       "7       0.00        0.0        0.0       0.00        0.0               0.0   \n",
       "8        NaN        NaN        NaN        NaN        NaN               NaN   \n",
       "9        NaN        NaN        NaN        NaN        NaN               NaN   \n",
       "\n",
       "   night_pck_user_7  night_pck_user_8  monthly_2g_6  monthly_2g_7  \\\n",
       "0               NaN               NaN             0             0   \n",
       "1               0.0               NaN             0             0   \n",
       "2               NaN               NaN             0             0   \n",
       "3               NaN               NaN             0             0   \n",
       "4               0.0               0.0             0             0   \n",
       "5               NaN               NaN             0             0   \n",
       "6               NaN               NaN             0             0   \n",
       "7               0.0               0.0             1             1   \n",
       "8               NaN               NaN             0             0   \n",
       "9               NaN               NaN             0             0   \n",
       "\n",
       "   monthly_2g_8  sachet_2g_6  sachet_2g_7  sachet_2g_8  monthly_3g_6  \\\n",
       "0             0            0            0            0             0   \n",
       "1             0            0            0            0             0   \n",
       "2             0            0            0            0             0   \n",
       "3             0            0            0            0             0   \n",
       "4             0            7            6            6             0   \n",
       "5             0            0            0            0             0   \n",
       "6             0            0            0            0             0   \n",
       "7             1            0            0            0             0   \n",
       "8             0            0            0            0             0   \n",
       "9             0            0            0            0             0   \n",
       "\n",
       "   monthly_3g_7  monthly_3g_8  sachet_3g_6  sachet_3g_7  sachet_3g_8  \\\n",
       "0             0             0            0            0            0   \n",
       "1             1             0            0            0            0   \n",
       "2             0             0            0            0            0   \n",
       "3             0             0            0            0            0   \n",
       "4             0             0            0            1            0   \n",
       "5             0             0            0            0            0   \n",
       "6             0             0            0            0            0   \n",
       "7             0             0            0            0            0   \n",
       "8             0             0            0            0            0   \n",
       "9             0             0            0            0            0   \n",
       "\n",
       "   fb_user_6  fb_user_7  fb_user_8   aon  aug_vbc_3g  jul_vbc_3g  jun_vbc_3g  \\\n",
       "0        NaN        NaN        NaN  1958        0.00        0.00        0.00   \n",
       "1        NaN        1.0        NaN   710        0.00        0.00        0.00   \n",
       "2        NaN        NaN        NaN   882        0.00        0.00        0.00   \n",
       "3        NaN        NaN        NaN   982        0.00        0.00        0.00   \n",
       "4        1.0        1.0        1.0   647        0.00        0.00        0.00   \n",
       "5        NaN        NaN        NaN   698        0.00        0.00        0.00   \n",
       "6        NaN        NaN        NaN  1083        0.00        0.00        0.00   \n",
       "7        1.0        1.0        1.0   584       82.26       73.56      177.14   \n",
       "8        NaN        NaN        NaN  2455        0.00        0.00        0.00   \n",
       "9        NaN        NaN        NaN  2530        0.00        0.00        0.00   \n",
       "\n",
       "   churn_probability  \n",
       "0                  0  \n",
       "1                  0  \n",
       "2                  0  \n",
       "3                  0  \n",
       "4                  0  \n",
       "5                  0  \n",
       "6                  0  \n",
       "7                  0  \n",
       "8                  1  \n",
       "9                  0  "
      ]
     },
     "execution_count": 327,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read data to pd.DataFrame\n",
    "train = pd.read_csv('./telecom-churn-case-study-hackathon-gc1/train.csv')\n",
    "# Take a quick look\n",
    "train.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 69999 entries, 0 to 69998\n",
      "Data columns (total 172 columns):\n",
      " #    Column                    Dtype  \n",
      "---   ------                    -----  \n",
      " 0    id                        int64  \n",
      " 1    circle_id                 int64  \n",
      " 2    loc_og_t2o_mou            float64\n",
      " 3    std_og_t2o_mou            float64\n",
      " 4    loc_ic_t2o_mou            float64\n",
      " 5    last_date_of_month_6      object \n",
      " 6    last_date_of_month_7      object \n",
      " 7    last_date_of_month_8      object \n",
      " 8    arpu_6                    float64\n",
      " 9    arpu_7                    float64\n",
      " 10   arpu_8                    float64\n",
      " 11   onnet_mou_6               float64\n",
      " 12   onnet_mou_7               float64\n",
      " 13   onnet_mou_8               float64\n",
      " 14   offnet_mou_6              float64\n",
      " 15   offnet_mou_7              float64\n",
      " 16   offnet_mou_8              float64\n",
      " 17   roam_ic_mou_6             float64\n",
      " 18   roam_ic_mou_7             float64\n",
      " 19   roam_ic_mou_8             float64\n",
      " 20   roam_og_mou_6             float64\n",
      " 21   roam_og_mou_7             float64\n",
      " 22   roam_og_mou_8             float64\n",
      " 23   loc_og_t2t_mou_6          float64\n",
      " 24   loc_og_t2t_mou_7          float64\n",
      " 25   loc_og_t2t_mou_8          float64\n",
      " 26   loc_og_t2m_mou_6          float64\n",
      " 27   loc_og_t2m_mou_7          float64\n",
      " 28   loc_og_t2m_mou_8          float64\n",
      " 29   loc_og_t2f_mou_6          float64\n",
      " 30   loc_og_t2f_mou_7          float64\n",
      " 31   loc_og_t2f_mou_8          float64\n",
      " 32   loc_og_t2c_mou_6          float64\n",
      " 33   loc_og_t2c_mou_7          float64\n",
      " 34   loc_og_t2c_mou_8          float64\n",
      " 35   loc_og_mou_6              float64\n",
      " 36   loc_og_mou_7              float64\n",
      " 37   loc_og_mou_8              float64\n",
      " 38   std_og_t2t_mou_6          float64\n",
      " 39   std_og_t2t_mou_7          float64\n",
      " 40   std_og_t2t_mou_8          float64\n",
      " 41   std_og_t2m_mou_6          float64\n",
      " 42   std_og_t2m_mou_7          float64\n",
      " 43   std_og_t2m_mou_8          float64\n",
      " 44   std_og_t2f_mou_6          float64\n",
      " 45   std_og_t2f_mou_7          float64\n",
      " 46   std_og_t2f_mou_8          float64\n",
      " 47   std_og_t2c_mou_6          float64\n",
      " 48   std_og_t2c_mou_7          float64\n",
      " 49   std_og_t2c_mou_8          float64\n",
      " 50   std_og_mou_6              float64\n",
      " 51   std_og_mou_7              float64\n",
      " 52   std_og_mou_8              float64\n",
      " 53   isd_og_mou_6              float64\n",
      " 54   isd_og_mou_7              float64\n",
      " 55   isd_og_mou_8              float64\n",
      " 56   spl_og_mou_6              float64\n",
      " 57   spl_og_mou_7              float64\n",
      " 58   spl_og_mou_8              float64\n",
      " 59   og_others_6               float64\n",
      " 60   og_others_7               float64\n",
      " 61   og_others_8               float64\n",
      " 62   total_og_mou_6            float64\n",
      " 63   total_og_mou_7            float64\n",
      " 64   total_og_mou_8            float64\n",
      " 65   loc_ic_t2t_mou_6          float64\n",
      " 66   loc_ic_t2t_mou_7          float64\n",
      " 67   loc_ic_t2t_mou_8          float64\n",
      " 68   loc_ic_t2m_mou_6          float64\n",
      " 69   loc_ic_t2m_mou_7          float64\n",
      " 70   loc_ic_t2m_mou_8          float64\n",
      " 71   loc_ic_t2f_mou_6          float64\n",
      " 72   loc_ic_t2f_mou_7          float64\n",
      " 73   loc_ic_t2f_mou_8          float64\n",
      " 74   loc_ic_mou_6              float64\n",
      " 75   loc_ic_mou_7              float64\n",
      " 76   loc_ic_mou_8              float64\n",
      " 77   std_ic_t2t_mou_6          float64\n",
      " 78   std_ic_t2t_mou_7          float64\n",
      " 79   std_ic_t2t_mou_8          float64\n",
      " 80   std_ic_t2m_mou_6          float64\n",
      " 81   std_ic_t2m_mou_7          float64\n",
      " 82   std_ic_t2m_mou_8          float64\n",
      " 83   std_ic_t2f_mou_6          float64\n",
      " 84   std_ic_t2f_mou_7          float64\n",
      " 85   std_ic_t2f_mou_8          float64\n",
      " 86   std_ic_t2o_mou_6          float64\n",
      " 87   std_ic_t2o_mou_7          float64\n",
      " 88   std_ic_t2o_mou_8          float64\n",
      " 89   std_ic_mou_6              float64\n",
      " 90   std_ic_mou_7              float64\n",
      " 91   std_ic_mou_8              float64\n",
      " 92   total_ic_mou_6            float64\n",
      " 93   total_ic_mou_7            float64\n",
      " 94   total_ic_mou_8            float64\n",
      " 95   spl_ic_mou_6              float64\n",
      " 96   spl_ic_mou_7              float64\n",
      " 97   spl_ic_mou_8              float64\n",
      " 98   isd_ic_mou_6              float64\n",
      " 99   isd_ic_mou_7              float64\n",
      " 100  isd_ic_mou_8              float64\n",
      " 101  ic_others_6               float64\n",
      " 102  ic_others_7               float64\n",
      " 103  ic_others_8               float64\n",
      " 104  total_rech_num_6          int64  \n",
      " 105  total_rech_num_7          int64  \n",
      " 106  total_rech_num_8          int64  \n",
      " 107  total_rech_amt_6          int64  \n",
      " 108  total_rech_amt_7          int64  \n",
      " 109  total_rech_amt_8          int64  \n",
      " 110  max_rech_amt_6            int64  \n",
      " 111  max_rech_amt_7            int64  \n",
      " 112  max_rech_amt_8            int64  \n",
      " 113  date_of_last_rech_6       object \n",
      " 114  date_of_last_rech_7       object \n",
      " 115  date_of_last_rech_8       object \n",
      " 116  last_day_rch_amt_6        int64  \n",
      " 117  last_day_rch_amt_7        int64  \n",
      " 118  last_day_rch_amt_8        int64  \n",
      " 119  date_of_last_rech_data_6  object \n",
      " 120  date_of_last_rech_data_7  object \n",
      " 121  date_of_last_rech_data_8  object \n",
      " 122  total_rech_data_6         float64\n",
      " 123  total_rech_data_7         float64\n",
      " 124  total_rech_data_8         float64\n",
      " 125  max_rech_data_6           float64\n",
      " 126  max_rech_data_7           float64\n",
      " 127  max_rech_data_8           float64\n",
      " 128  count_rech_2g_6           float64\n",
      " 129  count_rech_2g_7           float64\n",
      " 130  count_rech_2g_8           float64\n",
      " 131  count_rech_3g_6           float64\n",
      " 132  count_rech_3g_7           float64\n",
      " 133  count_rech_3g_8           float64\n",
      " 134  av_rech_amt_data_6        float64\n",
      " 135  av_rech_amt_data_7        float64\n",
      " 136  av_rech_amt_data_8        float64\n",
      " 137  vol_2g_mb_6               float64\n",
      " 138  vol_2g_mb_7               float64\n",
      " 139  vol_2g_mb_8               float64\n",
      " 140  vol_3g_mb_6               float64\n",
      " 141  vol_3g_mb_7               float64\n",
      " 142  vol_3g_mb_8               float64\n",
      " 143  arpu_3g_6                 float64\n",
      " 144  arpu_3g_7                 float64\n",
      " 145  arpu_3g_8                 float64\n",
      " 146  arpu_2g_6                 float64\n",
      " 147  arpu_2g_7                 float64\n",
      " 148  arpu_2g_8                 float64\n",
      " 149  night_pck_user_6          float64\n",
      " 150  night_pck_user_7          float64\n",
      " 151  night_pck_user_8          float64\n",
      " 152  monthly_2g_6              int64  \n",
      " 153  monthly_2g_7              int64  \n",
      " 154  monthly_2g_8              int64  \n",
      " 155  sachet_2g_6               int64  \n",
      " 156  sachet_2g_7               int64  \n",
      " 157  sachet_2g_8               int64  \n",
      " 158  monthly_3g_6              int64  \n",
      " 159  monthly_3g_7              int64  \n",
      " 160  monthly_3g_8              int64  \n",
      " 161  sachet_3g_6               int64  \n",
      " 162  sachet_3g_7               int64  \n",
      " 163  sachet_3g_8               int64  \n",
      " 164  fb_user_6                 float64\n",
      " 165  fb_user_7                 float64\n",
      " 166  fb_user_8                 float64\n",
      " 167  aon                       int64  \n",
      " 168  aug_vbc_3g                float64\n",
      " 169  jul_vbc_3g                float64\n",
      " 170  jun_vbc_3g                float64\n",
      " 171  churn_probability         int64  \n",
      "dtypes: float64(135), int64(28), object(9)\n",
      "memory usage: 91.9+ MB\n"
     ]
    }
   ],
   "source": [
    "# Display data type\n",
    "train.info(True) # set verbose = True to display all columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 99999 rows and 226 columns in the data. Lot of the columns are numeric type, but we need to inspect which are the categorical columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>id</th>\n",
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       "      <th>std_og_t2f_mou_6</th>\n",
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       "      <th>isd_og_mou_7</th>\n",
       "      <th>isd_og_mou_8</th>\n",
       "      <th>spl_og_mou_6</th>\n",
       "      <th>spl_og_mou_7</th>\n",
       "      <th>spl_og_mou_8</th>\n",
       "      <th>og_others_6</th>\n",
       "      <th>og_others_7</th>\n",
       "      <th>og_others_8</th>\n",
       "      <th>total_og_mou_6</th>\n",
       "      <th>total_og_mou_7</th>\n",
       "      <th>total_og_mou_8</th>\n",
       "      <th>loc_ic_t2t_mou_6</th>\n",
       "      <th>loc_ic_t2t_mou_7</th>\n",
       "      <th>loc_ic_t2t_mou_8</th>\n",
       "      <th>loc_ic_t2m_mou_6</th>\n",
       "      <th>loc_ic_t2m_mou_7</th>\n",
       "      <th>loc_ic_t2m_mou_8</th>\n",
       "      <th>loc_ic_t2f_mou_6</th>\n",
       "      <th>loc_ic_t2f_mou_7</th>\n",
       "      <th>loc_ic_t2f_mou_8</th>\n",
       "      <th>loc_ic_mou_6</th>\n",
       "      <th>loc_ic_mou_7</th>\n",
       "      <th>loc_ic_mou_8</th>\n",
       "      <th>std_ic_t2t_mou_6</th>\n",
       "      <th>std_ic_t2t_mou_7</th>\n",
       "      <th>std_ic_t2t_mou_8</th>\n",
       "      <th>std_ic_t2m_mou_6</th>\n",
       "      <th>std_ic_t2m_mou_7</th>\n",
       "      <th>std_ic_t2m_mou_8</th>\n",
       "      <th>std_ic_t2f_mou_6</th>\n",
       "      <th>std_ic_t2f_mou_7</th>\n",
       "      <th>std_ic_t2f_mou_8</th>\n",
       "      <th>std_ic_t2o_mou_6</th>\n",
       "      <th>std_ic_t2o_mou_7</th>\n",
       "      <th>std_ic_t2o_mou_8</th>\n",
       "      <th>std_ic_mou_6</th>\n",
       "      <th>std_ic_mou_7</th>\n",
       "      <th>std_ic_mou_8</th>\n",
       "      <th>total_ic_mou_6</th>\n",
       "      <th>total_ic_mou_7</th>\n",
       "      <th>total_ic_mou_8</th>\n",
       "      <th>spl_ic_mou_6</th>\n",
       "      <th>spl_ic_mou_7</th>\n",
       "      <th>spl_ic_mou_8</th>\n",
       "      <th>isd_ic_mou_6</th>\n",
       "      <th>isd_ic_mou_7</th>\n",
       "      <th>isd_ic_mou_8</th>\n",
       "      <th>ic_others_6</th>\n",
       "      <th>ic_others_7</th>\n",
       "      <th>ic_others_8</th>\n",
       "      <th>total_rech_num_6</th>\n",
       "      <th>total_rech_num_7</th>\n",
       "      <th>total_rech_num_8</th>\n",
       "      <th>total_rech_amt_6</th>\n",
       "      <th>total_rech_amt_7</th>\n",
       "      <th>total_rech_amt_8</th>\n",
       "      <th>max_rech_amt_6</th>\n",
       "      <th>max_rech_amt_7</th>\n",
       "      <th>max_rech_amt_8</th>\n",
       "      <th>last_day_rch_amt_6</th>\n",
       "      <th>last_day_rch_amt_7</th>\n",
       "      <th>last_day_rch_amt_8</th>\n",
       "      <th>total_rech_data_6</th>\n",
       "      <th>total_rech_data_7</th>\n",
       "      <th>total_rech_data_8</th>\n",
       "      <th>max_rech_data_6</th>\n",
       "      <th>max_rech_data_7</th>\n",
       "      <th>max_rech_data_8</th>\n",
       "      <th>count_rech_2g_6</th>\n",
       "      <th>count_rech_2g_7</th>\n",
       "      <th>count_rech_2g_8</th>\n",
       "      <th>count_rech_3g_6</th>\n",
       "      <th>count_rech_3g_7</th>\n",
       "      <th>count_rech_3g_8</th>\n",
       "      <th>av_rech_amt_data_6</th>\n",
       "      <th>av_rech_amt_data_7</th>\n",
       "      <th>av_rech_amt_data_8</th>\n",
       "      <th>vol_2g_mb_6</th>\n",
       "      <th>vol_2g_mb_7</th>\n",
       "      <th>vol_2g_mb_8</th>\n",
       "      <th>vol_3g_mb_6</th>\n",
       "      <th>vol_3g_mb_7</th>\n",
       "      <th>vol_3g_mb_8</th>\n",
       "      <th>arpu_3g_6</th>\n",
       "      <th>arpu_3g_7</th>\n",
       "      <th>arpu_3g_8</th>\n",
       "      <th>arpu_2g_6</th>\n",
       "      <th>arpu_2g_7</th>\n",
       "      <th>arpu_2g_8</th>\n",
       "      <th>night_pck_user_6</th>\n",
       "      <th>night_pck_user_7</th>\n",
       "      <th>night_pck_user_8</th>\n",
       "      <th>monthly_2g_6</th>\n",
       "      <th>monthly_2g_7</th>\n",
       "      <th>monthly_2g_8</th>\n",
       "      <th>sachet_2g_6</th>\n",
       "      <th>sachet_2g_7</th>\n",
       "      <th>sachet_2g_8</th>\n",
       "      <th>monthly_3g_6</th>\n",
       "      <th>monthly_3g_7</th>\n",
       "      <th>monthly_3g_8</th>\n",
       "      <th>sachet_3g_6</th>\n",
       "      <th>sachet_3g_7</th>\n",
       "      <th>sachet_3g_8</th>\n",
       "      <th>fb_user_6</th>\n",
       "      <th>fb_user_7</th>\n",
       "      <th>fb_user_8</th>\n",
       "      <th>aon</th>\n",
       "      <th>aug_vbc_3g</th>\n",
       "      <th>jul_vbc_3g</th>\n",
       "      <th>jun_vbc_3g</th>\n",
       "      <th>churn_probability</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69297.0</td>\n",
       "      <td>69297.0</td>\n",
       "      <td>69297.0</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.0</td>\n",
       "      <td>67312.0</td>\n",
       "      <td>66296.0</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.0</td>\n",
       "      <td>67312.0</td>\n",
       "      <td>66296.0</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>67231.000000</td>\n",
       "      <td>67312.000000</td>\n",
       "      <td>66296.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>17568.000000</td>\n",
       "      <td>17865.000000</td>\n",
       "      <td>18417.000000</td>\n",
       "      <td>17568.000000</td>\n",
       "      <td>17865.000000</td>\n",
       "      <td>18417.000000</td>\n",
       "      <td>17568.000000</td>\n",
       "      <td>17865.000000</td>\n",
       "      <td>18417.000000</td>\n",
       "      <td>17568.000000</td>\n",
       "      <td>17865.000000</td>\n",
       "      <td>18417.000000</td>\n",
       "      <td>17568.000000</td>\n",
       "      <td>17865.000000</td>\n",
       "      <td>18417.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>17568.000000</td>\n",
       "      <td>17865.000000</td>\n",
       "      <td>18417.000000</td>\n",
       "      <td>17568.000000</td>\n",
       "      <td>17865.000000</td>\n",
       "      <td>18417.000000</td>\n",
       "      <td>17568.000000</td>\n",
       "      <td>17865.000000</td>\n",
       "      <td>18417.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>17568.000000</td>\n",
       "      <td>17865.000000</td>\n",
       "      <td>18417.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.00000</td>\n",
       "      <td>69999.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>34999.000000</td>\n",
       "      <td>109.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>283.134365</td>\n",
       "      <td>278.185912</td>\n",
       "      <td>278.858826</td>\n",
       "      <td>133.153275</td>\n",
       "      <td>133.894438</td>\n",
       "      <td>132.978257</td>\n",
       "      <td>198.874771</td>\n",
       "      <td>197.153383</td>\n",
       "      <td>196.543577</td>\n",
       "      <td>9.765435</td>\n",
       "      <td>7.014568</td>\n",
       "      <td>7.004892</td>\n",
       "      <td>14.186457</td>\n",
       "      <td>9.842191</td>\n",
       "      <td>9.771783</td>\n",
       "      <td>46.904854</td>\n",
       "      <td>46.166503</td>\n",
       "      <td>45.686109</td>\n",
       "      <td>93.238231</td>\n",
       "      <td>90.799240</td>\n",
       "      <td>91.121447</td>\n",
       "      <td>3.743179</td>\n",
       "      <td>3.777031</td>\n",
       "      <td>3.661652</td>\n",
       "      <td>1.126025</td>\n",
       "      <td>1.361052</td>\n",
       "      <td>1.420840</td>\n",
       "      <td>143.893585</td>\n",
       "      <td>140.750120</td>\n",
       "      <td>140.476486</td>\n",
       "      <td>80.619382</td>\n",
       "      <td>83.775851</td>\n",
       "      <td>83.471486</td>\n",
       "      <td>88.152110</td>\n",
       "      <td>91.538615</td>\n",
       "      <td>90.586999</td>\n",
       "      <td>1.126377</td>\n",
       "      <td>1.084062</td>\n",
       "      <td>1.057739</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>169.900601</td>\n",
       "      <td>176.401217</td>\n",
       "      <td>175.118852</td>\n",
       "      <td>0.845763</td>\n",
       "      <td>0.811100</td>\n",
       "      <td>0.841648</td>\n",
       "      <td>3.958619</td>\n",
       "      <td>4.976783</td>\n",
       "      <td>5.045027</td>\n",
       "      <td>0.462581</td>\n",
       "      <td>0.024425</td>\n",
       "      <td>0.033059</td>\n",
       "      <td>306.451436</td>\n",
       "      <td>310.572674</td>\n",
       "      <td>304.513065</td>\n",
       "      <td>48.043255</td>\n",
       "      <td>47.882736</td>\n",
       "      <td>47.256388</td>\n",
       "      <td>107.152439</td>\n",
       "      <td>106.489856</td>\n",
       "      <td>108.154731</td>\n",
       "      <td>12.050672</td>\n",
       "      <td>12.563665</td>\n",
       "      <td>11.716763</td>\n",
       "      <td>167.255126</td>\n",
       "      <td>166.945103</td>\n",
       "      <td>167.136761</td>\n",
       "      <td>9.476958</td>\n",
       "      <td>9.873468</td>\n",
       "      <td>9.910217</td>\n",
       "      <td>20.734858</td>\n",
       "      <td>21.685359</td>\n",
       "      <td>21.089042</td>\n",
       "      <td>2.146273</td>\n",
       "      <td>2.199395</td>\n",
       "      <td>2.075179</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32.360632</td>\n",
       "      <td>33.760809</td>\n",
       "      <td>33.077030</td>\n",
       "      <td>199.710640</td>\n",
       "      <td>201.878029</td>\n",
       "      <td>198.486034</td>\n",
       "      <td>0.061932</td>\n",
       "      <td>0.033371</td>\n",
       "      <td>0.040392</td>\n",
       "      <td>7.394167</td>\n",
       "      <td>8.171162</td>\n",
       "      <td>8.348424</td>\n",
       "      <td>0.854063</td>\n",
       "      <td>1.019680</td>\n",
       "      <td>0.963214</td>\n",
       "      <td>7.566522</td>\n",
       "      <td>7.706667</td>\n",
       "      <td>7.224932</td>\n",
       "      <td>328.139788</td>\n",
       "      <td>322.376363</td>\n",
       "      <td>323.846355</td>\n",
       "      <td>104.569265</td>\n",
       "      <td>104.137573</td>\n",
       "      <td>107.540351</td>\n",
       "      <td>63.426949</td>\n",
       "      <td>59.294218</td>\n",
       "      <td>62.489478</td>\n",
       "      <td>2.467612</td>\n",
       "      <td>2.679989</td>\n",
       "      <td>2.652441</td>\n",
       "      <td>126.500000</td>\n",
       "      <td>126.402071</td>\n",
       "      <td>125.374925</td>\n",
       "      <td>1.865323</td>\n",
       "      <td>2.056311</td>\n",
       "      <td>2.016018</td>\n",
       "      <td>0.602288</td>\n",
       "      <td>0.623678</td>\n",
       "      <td>0.636423</td>\n",
       "      <td>192.831096</td>\n",
       "      <td>201.455940</td>\n",
       "      <td>196.815792</td>\n",
       "      <td>51.773924</td>\n",
       "      <td>51.240204</td>\n",
       "      <td>50.127506</td>\n",
       "      <td>122.171882</td>\n",
       "      <td>128.934444</td>\n",
       "      <td>135.486541</td>\n",
       "      <td>90.069931</td>\n",
       "      <td>89.115767</td>\n",
       "      <td>90.618564</td>\n",
       "      <td>86.863900</td>\n",
       "      <td>85.846074</td>\n",
       "      <td>86.348404</td>\n",
       "      <td>0.025273</td>\n",
       "      <td>0.024069</td>\n",
       "      <td>0.021013</td>\n",
       "      <td>0.079287</td>\n",
       "      <td>0.083401</td>\n",
       "      <td>0.080930</td>\n",
       "      <td>0.388863</td>\n",
       "      <td>0.441406</td>\n",
       "      <td>0.449492</td>\n",
       "      <td>0.075815</td>\n",
       "      <td>0.077730</td>\n",
       "      <td>0.081958</td>\n",
       "      <td>0.075344</td>\n",
       "      <td>0.081444</td>\n",
       "      <td>0.085487</td>\n",
       "      <td>0.916325</td>\n",
       "      <td>0.909544</td>\n",
       "      <td>0.890319</td>\n",
       "      <td>1220.639709</td>\n",
       "      <td>68.108597</td>\n",
       "      <td>65.935830</td>\n",
       "      <td>60.07674</td>\n",
       "      <td>0.101887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>20207.115084</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>334.213918</td>\n",
       "      <td>344.366927</td>\n",
       "      <td>351.924315</td>\n",
       "      <td>299.963093</td>\n",
       "      <td>311.277193</td>\n",
       "      <td>311.896596</td>\n",
       "      <td>316.818355</td>\n",
       "      <td>322.482226</td>\n",
       "      <td>324.089234</td>\n",
       "      <td>57.374429</td>\n",
       "      <td>55.960985</td>\n",
       "      <td>53.408135</td>\n",
       "      <td>73.469261</td>\n",
       "      <td>58.511894</td>\n",
       "      <td>64.618388</td>\n",
       "      <td>150.971758</td>\n",
       "      <td>154.739002</td>\n",
       "      <td>153.716880</td>\n",
       "      <td>162.046699</td>\n",
       "      <td>153.852597</td>\n",
       "      <td>152.997805</td>\n",
       "      <td>13.319542</td>\n",
       "      <td>13.568110</td>\n",
       "      <td>13.009193</td>\n",
       "      <td>5.741811</td>\n",
       "      <td>7.914113</td>\n",
       "      <td>6.542202</td>\n",
       "      <td>252.034597</td>\n",
       "      <td>246.313148</td>\n",
       "      <td>245.342359</td>\n",
       "      <td>255.098355</td>\n",
       "      <td>266.693254</td>\n",
       "      <td>267.021929</td>\n",
       "      <td>255.771554</td>\n",
       "      <td>267.532089</td>\n",
       "      <td>270.032002</td>\n",
       "      <td>8.136645</td>\n",
       "      <td>8.325206</td>\n",
       "      <td>7.696853</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>392.046600</td>\n",
       "      <td>409.299501</td>\n",
       "      <td>410.697098</td>\n",
       "      <td>29.747486</td>\n",
       "      <td>29.220073</td>\n",
       "      <td>29.563367</td>\n",
       "      <td>15.854529</td>\n",
       "      <td>22.229842</td>\n",
       "      <td>17.708507</td>\n",
       "      <td>4.768437</td>\n",
       "      <td>1.716430</td>\n",
       "      <td>2.232547</td>\n",
       "      <td>465.502866</td>\n",
       "      <td>479.131770</td>\n",
       "      <td>477.936832</td>\n",
       "      <td>140.499757</td>\n",
       "      <td>147.761124</td>\n",
       "      <td>141.249368</td>\n",
       "      <td>168.455999</td>\n",
       "      <td>165.452459</td>\n",
       "      <td>166.223461</td>\n",
       "      <td>39.416076</td>\n",
       "      <td>43.495179</td>\n",
       "      <td>38.606895</td>\n",
       "      <td>252.576231</td>\n",
       "      <td>254.688718</td>\n",
       "      <td>249.288410</td>\n",
       "      <td>51.664472</td>\n",
       "      <td>56.137824</td>\n",
       "      <td>54.248186</td>\n",
       "      <td>80.294236</td>\n",
       "      <td>87.314510</td>\n",
       "      <td>81.534344</td>\n",
       "      <td>16.522232</td>\n",
       "      <td>16.171533</td>\n",
       "      <td>15.865403</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>104.381082</td>\n",
       "      <td>114.142230</td>\n",
       "      <td>108.469864</td>\n",
       "      <td>290.114823</td>\n",
       "      <td>296.771338</td>\n",
       "      <td>288.336731</td>\n",
       "      <td>0.164823</td>\n",
       "      <td>0.137322</td>\n",
       "      <td>0.148417</td>\n",
       "      <td>60.951165</td>\n",
       "      <td>63.604165</td>\n",
       "      <td>63.097570</td>\n",
       "      <td>12.149144</td>\n",
       "      <td>13.225373</td>\n",
       "      <td>11.697686</td>\n",
       "      <td>7.041452</td>\n",
       "      <td>7.050614</td>\n",
       "      <td>7.195597</td>\n",
       "      <td>404.211068</td>\n",
       "      <td>411.070120</td>\n",
       "      <td>426.181405</td>\n",
       "      <td>121.407701</td>\n",
       "      <td>120.782543</td>\n",
       "      <td>124.396750</td>\n",
       "      <td>97.954876</td>\n",
       "      <td>95.429492</td>\n",
       "      <td>101.996729</td>\n",
       "      <td>2.794610</td>\n",
       "      <td>3.073472</td>\n",
       "      <td>3.101265</td>\n",
       "      <td>109.352573</td>\n",
       "      <td>109.459266</td>\n",
       "      <td>109.648799</td>\n",
       "      <td>2.566377</td>\n",
       "      <td>2.799916</td>\n",
       "      <td>2.728246</td>\n",
       "      <td>1.279297</td>\n",
       "      <td>1.401230</td>\n",
       "      <td>1.457058</td>\n",
       "      <td>190.623115</td>\n",
       "      <td>198.346141</td>\n",
       "      <td>192.280532</td>\n",
       "      <td>212.513909</td>\n",
       "      <td>211.114667</td>\n",
       "      <td>213.101403</td>\n",
       "      <td>554.869965</td>\n",
       "      <td>554.096072</td>\n",
       "      <td>568.310234</td>\n",
       "      <td>193.600413</td>\n",
       "      <td>195.826990</td>\n",
       "      <td>189.907986</td>\n",
       "      <td>171.321203</td>\n",
       "      <td>178.067280</td>\n",
       "      <td>170.297094</td>\n",
       "      <td>0.156958</td>\n",
       "      <td>0.153269</td>\n",
       "      <td>0.143432</td>\n",
       "      <td>0.294719</td>\n",
       "      <td>0.304802</td>\n",
       "      <td>0.299254</td>\n",
       "      <td>1.494206</td>\n",
       "      <td>1.651012</td>\n",
       "      <td>1.632450</td>\n",
       "      <td>0.358905</td>\n",
       "      <td>0.383189</td>\n",
       "      <td>0.381821</td>\n",
       "      <td>0.573003</td>\n",
       "      <td>0.634547</td>\n",
       "      <td>0.680035</td>\n",
       "      <td>0.276907</td>\n",
       "      <td>0.286842</td>\n",
       "      <td>0.312501</td>\n",
       "      <td>952.426321</td>\n",
       "      <td>269.328659</td>\n",
       "      <td>267.899034</td>\n",
       "      <td>257.22681</td>\n",
       "      <td>0.302502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>109.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-2258.709000</td>\n",
       "      <td>-1289.715000</td>\n",
       "      <td>-945.808000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-20.380000</td>\n",
       "      <td>-26.040000</td>\n",
       "      <td>-24.490000</td>\n",
       "      <td>-35.830000</td>\n",
       "      <td>-13.090000</td>\n",
       "      <td>-55.830000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>17499.500000</td>\n",
       "      <td>109.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>93.581000</td>\n",
       "      <td>86.714000</td>\n",
       "      <td>84.095000</td>\n",
       "      <td>7.410000</td>\n",
       "      <td>6.675000</td>\n",
       "      <td>6.410000</td>\n",
       "      <td>34.860000</td>\n",
       "      <td>32.240000</td>\n",
       "      <td>31.575000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.660000</td>\n",
       "      <td>1.650000</td>\n",
       "      <td>1.610000</td>\n",
       "      <td>9.920000</td>\n",
       "      <td>10.090000</td>\n",
       "      <td>9.830000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>17.235000</td>\n",
       "      <td>17.590000</td>\n",
       "      <td>17.237500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>44.780000</td>\n",
       "      <td>42.910000</td>\n",
       "      <td>38.710000</td>\n",
       "      <td>3.030000</td>\n",
       "      <td>3.260000</td>\n",
       "      <td>3.280000</td>\n",
       "      <td>17.390000</td>\n",
       "      <td>18.610000</td>\n",
       "      <td>18.940000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>30.630000</td>\n",
       "      <td>32.710000</td>\n",
       "      <td>32.810000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>38.640000</td>\n",
       "      <td>41.340000</td>\n",
       "      <td>38.290000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>468.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>34999.000000</td>\n",
       "      <td>109.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>197.484000</td>\n",
       "      <td>191.588000</td>\n",
       "      <td>192.234000</td>\n",
       "      <td>34.110000</td>\n",
       "      <td>32.280000</td>\n",
       "      <td>32.100000</td>\n",
       "      <td>96.480000</td>\n",
       "      <td>91.885000</td>\n",
       "      <td>91.800000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11.910000</td>\n",
       "      <td>11.580000</td>\n",
       "      <td>11.740000</td>\n",
       "      <td>41.030000</td>\n",
       "      <td>40.170000</td>\n",
       "      <td>40.350000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>65.190000</td>\n",
       "      <td>63.430000</td>\n",
       "      <td>63.520000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.980000</td>\n",
       "      <td>3.710000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.730000</td>\n",
       "      <td>11.260000</td>\n",
       "      <td>10.505000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>145.280000</td>\n",
       "      <td>141.230000</td>\n",
       "      <td>138.360000</td>\n",
       "      <td>15.740000</td>\n",
       "      <td>15.830000</td>\n",
       "      <td>16.040000</td>\n",
       "      <td>56.460000</td>\n",
       "      <td>56.930000</td>\n",
       "      <td>58.210000</td>\n",
       "      <td>0.880000</td>\n",
       "      <td>0.910000</td>\n",
       "      <td>0.930000</td>\n",
       "      <td>92.430000</td>\n",
       "      <td>92.510000</td>\n",
       "      <td>93.890000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.040000</td>\n",
       "      <td>2.060000</td>\n",
       "      <td>2.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.910000</td>\n",
       "      <td>5.980000</td>\n",
       "      <td>5.830000</td>\n",
       "      <td>114.780000</td>\n",
       "      <td>116.330000</td>\n",
       "      <td>114.610000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>229.000000</td>\n",
       "      <td>220.000000</td>\n",
       "      <td>225.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>145.000000</td>\n",
       "      <td>145.000000</td>\n",
       "      <td>145.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>154.000000</td>\n",
       "      <td>154.000000</td>\n",
       "      <td>154.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.840000</td>\n",
       "      <td>11.300000</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>9.090000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>868.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>52498.500000</td>\n",
       "      <td>109.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>370.791000</td>\n",
       "      <td>365.369500</td>\n",
       "      <td>369.909000</td>\n",
       "      <td>119.390000</td>\n",
       "      <td>115.837500</td>\n",
       "      <td>115.060000</td>\n",
       "      <td>232.990000</td>\n",
       "      <td>227.630000</td>\n",
       "      <td>229.345000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>40.740000</td>\n",
       "      <td>39.760000</td>\n",
       "      <td>39.895000</td>\n",
       "      <td>110.430000</td>\n",
       "      <td>107.540000</td>\n",
       "      <td>109.245000</td>\n",
       "      <td>2.060000</td>\n",
       "      <td>2.080000</td>\n",
       "      <td>2.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>167.880000</td>\n",
       "      <td>163.932500</td>\n",
       "      <td>165.615000</td>\n",
       "      <td>31.020000</td>\n",
       "      <td>31.300000</td>\n",
       "      <td>30.760000</td>\n",
       "      <td>53.745000</td>\n",
       "      <td>54.640000</td>\n",
       "      <td>52.660000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>146.335000</td>\n",
       "      <td>151.645000</td>\n",
       "      <td>149.015000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>3.660000</td>\n",
       "      <td>4.002500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>374.305000</td>\n",
       "      <td>380.045000</td>\n",
       "      <td>370.895000</td>\n",
       "      <td>46.980000</td>\n",
       "      <td>45.690000</td>\n",
       "      <td>46.280000</td>\n",
       "      <td>132.020000</td>\n",
       "      <td>131.010000</td>\n",
       "      <td>134.380000</td>\n",
       "      <td>8.140000</td>\n",
       "      <td>8.230000</td>\n",
       "      <td>8.090000</td>\n",
       "      <td>208.325000</td>\n",
       "      <td>205.530000</td>\n",
       "      <td>208.060000</td>\n",
       "      <td>4.060000</td>\n",
       "      <td>4.180000</td>\n",
       "      <td>4.052500</td>\n",
       "      <td>14.960000</td>\n",
       "      <td>15.830000</td>\n",
       "      <td>15.310000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.780000</td>\n",
       "      <td>28.160000</td>\n",
       "      <td>27.615000</td>\n",
       "      <td>251.070000</td>\n",
       "      <td>249.470000</td>\n",
       "      <td>249.710000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>438.000000</td>\n",
       "      <td>430.000000</td>\n",
       "      <td>436.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>177.000000</td>\n",
       "      <td>177.000000</td>\n",
       "      <td>179.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>252.000000</td>\n",
       "      <td>252.000000</td>\n",
       "      <td>252.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>122.070000</td>\n",
       "      <td>120.860000</td>\n",
       "      <td>122.070000</td>\n",
       "      <td>122.070000</td>\n",
       "      <td>122.070000</td>\n",
       "      <td>122.070000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1813.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>69998.000000</td>\n",
       "      <td>109.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27731.088000</td>\n",
       "      <td>35145.834000</td>\n",
       "      <td>33543.624000</td>\n",
       "      <td>7376.710000</td>\n",
       "      <td>8157.780000</td>\n",
       "      <td>10752.560000</td>\n",
       "      <td>8362.360000</td>\n",
       "      <td>7043.980000</td>\n",
       "      <td>14007.340000</td>\n",
       "      <td>2850.980000</td>\n",
       "      <td>4155.830000</td>\n",
       "      <td>4169.810000</td>\n",
       "      <td>3775.110000</td>\n",
       "      <td>2812.040000</td>\n",
       "      <td>5337.040000</td>\n",
       "      <td>6431.330000</td>\n",
       "      <td>7400.660000</td>\n",
       "      <td>10752.560000</td>\n",
       "      <td>4696.830000</td>\n",
       "      <td>4557.140000</td>\n",
       "      <td>4961.330000</td>\n",
       "      <td>617.580000</td>\n",
       "      <td>815.330000</td>\n",
       "      <td>588.290000</td>\n",
       "      <td>342.860000</td>\n",
       "      <td>916.240000</td>\n",
       "      <td>351.830000</td>\n",
       "      <td>10643.380000</td>\n",
       "      <td>7674.780000</td>\n",
       "      <td>11039.910000</td>\n",
       "      <td>7366.580000</td>\n",
       "      <td>8133.660000</td>\n",
       "      <td>8014.430000</td>\n",
       "      <td>8314.760000</td>\n",
       "      <td>6622.540000</td>\n",
       "      <td>13950.040000</td>\n",
       "      <td>628.560000</td>\n",
       "      <td>465.790000</td>\n",
       "      <td>354.160000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8432.990000</td>\n",
       "      <td>8155.530000</td>\n",
       "      <td>13980.060000</td>\n",
       "      <td>5900.660000</td>\n",
       "      <td>5490.280000</td>\n",
       "      <td>5681.540000</td>\n",
       "      <td>1023.210000</td>\n",
       "      <td>2372.510000</td>\n",
       "      <td>1075.080000</td>\n",
       "      <td>800.890000</td>\n",
       "      <td>270.240000</td>\n",
       "      <td>394.930000</td>\n",
       "      <td>10674.030000</td>\n",
       "      <td>8285.640000</td>\n",
       "      <td>14043.060000</td>\n",
       "      <td>5315.590000</td>\n",
       "      <td>9324.660000</td>\n",
       "      <td>10696.230000</td>\n",
       "      <td>4450.740000</td>\n",
       "      <td>4455.830000</td>\n",
       "      <td>6274.190000</td>\n",
       "      <td>1872.340000</td>\n",
       "      <td>1983.010000</td>\n",
       "      <td>1676.580000</td>\n",
       "      <td>7454.630000</td>\n",
       "      <td>9669.910000</td>\n",
       "      <td>10830.160000</td>\n",
       "      <td>3336.380000</td>\n",
       "      <td>4708.710000</td>\n",
       "      <td>3930.240000</td>\n",
       "      <td>5647.160000</td>\n",
       "      <td>6141.880000</td>\n",
       "      <td>5512.760000</td>\n",
       "      <td>1351.110000</td>\n",
       "      <td>1136.080000</td>\n",
       "      <td>1394.890000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5712.110000</td>\n",
       "      <td>6745.760000</td>\n",
       "      <td>5658.740000</td>\n",
       "      <td>7716.140000</td>\n",
       "      <td>9699.010000</td>\n",
       "      <td>10830.380000</td>\n",
       "      <td>19.760000</td>\n",
       "      <td>13.460000</td>\n",
       "      <td>16.860000</td>\n",
       "      <td>6789.410000</td>\n",
       "      <td>5289.540000</td>\n",
       "      <td>4127.010000</td>\n",
       "      <td>1362.940000</td>\n",
       "      <td>1495.940000</td>\n",
       "      <td>1209.860000</td>\n",
       "      <td>170.000000</td>\n",
       "      <td>138.000000</td>\n",
       "      <td>138.000000</td>\n",
       "      <td>35190.000000</td>\n",
       "      <td>40335.000000</td>\n",
       "      <td>45320.000000</td>\n",
       "      <td>4010.000000</td>\n",
       "      <td>3299.000000</td>\n",
       "      <td>4449.000000</td>\n",
       "      <td>4010.000000</td>\n",
       "      <td>3100.000000</td>\n",
       "      <td>4449.000000</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>1555.000000</td>\n",
       "      <td>1555.000000</td>\n",
       "      <td>1555.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>5920.000000</td>\n",
       "      <td>4365.000000</td>\n",
       "      <td>4076.000000</td>\n",
       "      <td>10285.900000</td>\n",
       "      <td>7873.550000</td>\n",
       "      <td>11117.610000</td>\n",
       "      <td>45735.400000</td>\n",
       "      <td>28144.120000</td>\n",
       "      <td>30036.060000</td>\n",
       "      <td>5054.370000</td>\n",
       "      <td>4980.900000</td>\n",
       "      <td>3716.900000</td>\n",
       "      <td>5054.350000</td>\n",
       "      <td>4809.360000</td>\n",
       "      <td>3483.170000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4337.000000</td>\n",
       "      <td>12916.220000</td>\n",
       "      <td>9165.600000</td>\n",
       "      <td>11166.21000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id  circle_id  loc_og_t2o_mou  std_og_t2o_mou  \\\n",
       "count  69999.000000    69999.0         69297.0         69297.0   \n",
       "mean   34999.000000      109.0             0.0             0.0   \n",
       "std    20207.115084        0.0             0.0             0.0   \n",
       "min        0.000000      109.0             0.0             0.0   \n",
       "25%    17499.500000      109.0             0.0             0.0   \n",
       "50%    34999.000000      109.0             0.0             0.0   \n",
       "75%    52498.500000      109.0             0.0             0.0   \n",
       "max    69998.000000      109.0             0.0             0.0   \n",
       "\n",
       "       loc_ic_t2o_mou        arpu_6        arpu_7        arpu_8   onnet_mou_6  \\\n",
       "count         69297.0  69999.000000  69999.000000  69999.000000  67231.000000   \n",
       "mean              0.0    283.134365    278.185912    278.858826    133.153275   \n",
       "std               0.0    334.213918    344.366927    351.924315    299.963093   \n",
       "min               0.0  -2258.709000  -1289.715000   -945.808000      0.000000   \n",
       "25%               0.0     93.581000     86.714000     84.095000      7.410000   \n",
       "50%               0.0    197.484000    191.588000    192.234000     34.110000   \n",
       "75%               0.0    370.791000    365.369500    369.909000    119.390000   \n",
       "max               0.0  27731.088000  35145.834000  33543.624000   7376.710000   \n",
       "\n",
       "        onnet_mou_7   onnet_mou_8  offnet_mou_6  offnet_mou_7  offnet_mou_8  \\\n",
       "count  67312.000000  66296.000000  67231.000000  67312.000000  66296.000000   \n",
       "mean     133.894438    132.978257    198.874771    197.153383    196.543577   \n",
       "std      311.277193    311.896596    316.818355    322.482226    324.089234   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        6.675000      6.410000     34.860000     32.240000     31.575000   \n",
       "50%       32.280000     32.100000     96.480000     91.885000     91.800000   \n",
       "75%      115.837500    115.060000    232.990000    227.630000    229.345000   \n",
       "max     8157.780000  10752.560000   8362.360000   7043.980000  14007.340000   \n",
       "\n",
       "       roam_ic_mou_6  roam_ic_mou_7  roam_ic_mou_8  roam_og_mou_6  \\\n",
       "count   67231.000000   67312.000000   66296.000000   67231.000000   \n",
       "mean        9.765435       7.014568       7.004892      14.186457   \n",
       "std        57.374429      55.960985      53.408135      73.469261   \n",
       "min         0.000000       0.000000       0.000000       0.000000   \n",
       "25%         0.000000       0.000000       0.000000       0.000000   \n",
       "50%         0.000000       0.000000       0.000000       0.000000   \n",
       "75%         0.000000       0.000000       0.000000       0.000000   \n",
       "max      2850.980000    4155.830000    4169.810000    3775.110000   \n",
       "\n",
       "       roam_og_mou_7  roam_og_mou_8  loc_og_t2t_mou_6  loc_og_t2t_mou_7  \\\n",
       "count   67312.000000   66296.000000      67231.000000      67312.000000   \n",
       "mean        9.842191       9.771783         46.904854         46.166503   \n",
       "std        58.511894      64.618388        150.971758        154.739002   \n",
       "min         0.000000       0.000000          0.000000          0.000000   \n",
       "25%         0.000000       0.000000          1.660000          1.650000   \n",
       "50%         0.000000       0.000000         11.910000         11.580000   \n",
       "75%         0.000000       0.000000         40.740000         39.760000   \n",
       "max      2812.040000    5337.040000       6431.330000       7400.660000   \n",
       "\n",
       "       loc_og_t2t_mou_8  loc_og_t2m_mou_6  loc_og_t2m_mou_7  loc_og_t2m_mou_8  \\\n",
       "count      66296.000000      67231.000000      67312.000000      66296.000000   \n",
       "mean          45.686109         93.238231         90.799240         91.121447   \n",
       "std          153.716880        162.046699        153.852597        152.997805   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            1.610000          9.920000         10.090000          9.830000   \n",
       "50%           11.740000         41.030000         40.170000         40.350000   \n",
       "75%           39.895000        110.430000        107.540000        109.245000   \n",
       "max        10752.560000       4696.830000       4557.140000       4961.330000   \n",
       "\n",
       "       loc_og_t2f_mou_6  loc_og_t2f_mou_7  loc_og_t2f_mou_8  loc_og_t2c_mou_6  \\\n",
       "count      67231.000000      67312.000000      66296.000000      67231.000000   \n",
       "mean           3.743179          3.777031          3.661652          1.126025   \n",
       "std           13.319542         13.568110         13.009193          5.741811   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            0.000000          0.000000          0.000000          0.000000   \n",
       "50%            0.000000          0.000000          0.000000          0.000000   \n",
       "75%            2.060000          2.080000          2.030000          0.000000   \n",
       "max          617.580000        815.330000        588.290000        342.860000   \n",
       "\n",
       "       loc_og_t2c_mou_7  loc_og_t2c_mou_8  loc_og_mou_6  loc_og_mou_7  \\\n",
       "count      67312.000000      66296.000000  67231.000000  67312.000000   \n",
       "mean           1.361052          1.420840    143.893585    140.750120   \n",
       "std            7.914113          6.542202    252.034597    246.313148   \n",
       "min            0.000000          0.000000      0.000000      0.000000   \n",
       "25%            0.000000          0.000000     17.235000     17.590000   \n",
       "50%            0.000000          0.000000     65.190000     63.430000   \n",
       "75%            0.000000          0.000000    167.880000    163.932500   \n",
       "max          916.240000        351.830000  10643.380000   7674.780000   \n",
       "\n",
       "       loc_og_mou_8  std_og_t2t_mou_6  std_og_t2t_mou_7  std_og_t2t_mou_8  \\\n",
       "count  66296.000000      67231.000000      67312.000000      66296.000000   \n",
       "mean     140.476486         80.619382         83.775851         83.471486   \n",
       "std      245.342359        255.098355        266.693254        267.021929   \n",
       "min        0.000000          0.000000          0.000000          0.000000   \n",
       "25%       17.237500          0.000000          0.000000          0.000000   \n",
       "50%       63.520000          0.000000          0.000000          0.000000   \n",
       "75%      165.615000         31.020000         31.300000         30.760000   \n",
       "max    11039.910000       7366.580000       8133.660000       8014.430000   \n",
       "\n",
       "       std_og_t2m_mou_6  std_og_t2m_mou_7  std_og_t2m_mou_8  std_og_t2f_mou_6  \\\n",
       "count      67231.000000      67312.000000      66296.000000      67231.000000   \n",
       "mean          88.152110         91.538615         90.586999          1.126377   \n",
       "std          255.771554        267.532089        270.032002          8.136645   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            0.000000          0.000000          0.000000          0.000000   \n",
       "50%            3.980000          3.710000          3.300000          0.000000   \n",
       "75%           53.745000         54.640000         52.660000          0.000000   \n",
       "max         8314.760000       6622.540000      13950.040000        628.560000   \n",
       "\n",
       "       std_og_t2f_mou_7  std_og_t2f_mou_8  std_og_t2c_mou_6  std_og_t2c_mou_7  \\\n",
       "count      67312.000000      66296.000000           67231.0           67312.0   \n",
       "mean           1.084062          1.057739               0.0               0.0   \n",
       "std            8.325206          7.696853               0.0               0.0   \n",
       "min            0.000000          0.000000               0.0               0.0   \n",
       "25%            0.000000          0.000000               0.0               0.0   \n",
       "50%            0.000000          0.000000               0.0               0.0   \n",
       "75%            0.000000          0.000000               0.0               0.0   \n",
       "max          465.790000        354.160000               0.0               0.0   \n",
       "\n",
       "       std_og_t2c_mou_8  std_og_mou_6  std_og_mou_7  std_og_mou_8  \\\n",
       "count           66296.0  67231.000000  67312.000000  66296.000000   \n",
       "mean                0.0    169.900601    176.401217    175.118852   \n",
       "std                 0.0    392.046600    409.299501    410.697098   \n",
       "min                 0.0      0.000000      0.000000      0.000000   \n",
       "25%                 0.0      0.000000      0.000000      0.000000   \n",
       "50%                 0.0     11.730000     11.260000     10.505000   \n",
       "75%                 0.0    146.335000    151.645000    149.015000   \n",
       "max                 0.0   8432.990000   8155.530000  13980.060000   \n",
       "\n",
       "       isd_og_mou_6  isd_og_mou_7  isd_og_mou_8  spl_og_mou_6  spl_og_mou_7  \\\n",
       "count  67231.000000  67312.000000  66296.000000  67231.000000  67312.000000   \n",
       "mean       0.845763      0.811100      0.841648      3.958619      4.976783   \n",
       "std       29.747486     29.220073     29.563367     15.854529     22.229842   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%        0.000000      0.000000      0.000000      2.400000      3.660000   \n",
       "max     5900.660000   5490.280000   5681.540000   1023.210000   2372.510000   \n",
       "\n",
       "       spl_og_mou_8   og_others_6   og_others_7   og_others_8  total_og_mou_6  \\\n",
       "count  66296.000000  67231.000000  67312.000000  66296.000000    69999.000000   \n",
       "mean       5.045027      0.462581      0.024425      0.033059      306.451436   \n",
       "std       17.708507      4.768437      1.716430      2.232547      465.502866   \n",
       "min        0.000000      0.000000      0.000000      0.000000        0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000       44.780000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      145.280000   \n",
       "75%        4.002500      0.000000      0.000000      0.000000      374.305000   \n",
       "max     1075.080000    800.890000    270.240000    394.930000    10674.030000   \n",
       "\n",
       "       total_og_mou_7  total_og_mou_8  loc_ic_t2t_mou_6  loc_ic_t2t_mou_7  \\\n",
       "count    69999.000000    69999.000000      67231.000000      67312.000000   \n",
       "mean       310.572674      304.513065         48.043255         47.882736   \n",
       "std        479.131770      477.936832        140.499757        147.761124   \n",
       "min          0.000000        0.000000          0.000000          0.000000   \n",
       "25%         42.910000       38.710000          3.030000          3.260000   \n",
       "50%        141.230000      138.360000         15.740000         15.830000   \n",
       "75%        380.045000      370.895000         46.980000         45.690000   \n",
       "max       8285.640000    14043.060000       5315.590000       9324.660000   \n",
       "\n",
       "       loc_ic_t2t_mou_8  loc_ic_t2m_mou_6  loc_ic_t2m_mou_7  loc_ic_t2m_mou_8  \\\n",
       "count      66296.000000      67231.000000      67312.000000      66296.000000   \n",
       "mean          47.256388        107.152439        106.489856        108.154731   \n",
       "std          141.249368        168.455999        165.452459        166.223461   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            3.280000         17.390000         18.610000         18.940000   \n",
       "50%           16.040000         56.460000         56.930000         58.210000   \n",
       "75%           46.280000        132.020000        131.010000        134.380000   \n",
       "max        10696.230000       4450.740000       4455.830000       6274.190000   \n",
       "\n",
       "       loc_ic_t2f_mou_6  loc_ic_t2f_mou_7  loc_ic_t2f_mou_8  loc_ic_mou_6  \\\n",
       "count      67231.000000      67312.000000      66296.000000  67231.000000   \n",
       "mean          12.050672         12.563665         11.716763    167.255126   \n",
       "std           39.416076         43.495179         38.606895    252.576231   \n",
       "min            0.000000          0.000000          0.000000      0.000000   \n",
       "25%            0.000000          0.000000          0.000000     30.630000   \n",
       "50%            0.880000          0.910000          0.930000     92.430000   \n",
       "75%            8.140000          8.230000          8.090000    208.325000   \n",
       "max         1872.340000       1983.010000       1676.580000   7454.630000   \n",
       "\n",
       "       loc_ic_mou_7  loc_ic_mou_8  std_ic_t2t_mou_6  std_ic_t2t_mou_7  \\\n",
       "count  67312.000000  66296.000000      67231.000000      67312.000000   \n",
       "mean     166.945103    167.136761          9.476958          9.873468   \n",
       "std      254.688718    249.288410         51.664472         56.137824   \n",
       "min        0.000000      0.000000          0.000000          0.000000   \n",
       "25%       32.710000     32.810000          0.000000          0.000000   \n",
       "50%       92.510000     93.890000          0.000000          0.000000   \n",
       "75%      205.530000    208.060000          4.060000          4.180000   \n",
       "max     9669.910000  10830.160000       3336.380000       4708.710000   \n",
       "\n",
       "       std_ic_t2t_mou_8  std_ic_t2m_mou_6  std_ic_t2m_mou_7  std_ic_t2m_mou_8  \\\n",
       "count      66296.000000      67231.000000      67312.000000      66296.000000   \n",
       "mean           9.910217         20.734858         21.685359         21.089042   \n",
       "std           54.248186         80.294236         87.314510         81.534344   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            0.000000          0.000000          0.000000          0.000000   \n",
       "50%            0.000000          2.040000          2.060000          2.030000   \n",
       "75%            4.052500         14.960000         15.830000         15.310000   \n",
       "max         3930.240000       5647.160000       6141.880000       5512.760000   \n",
       "\n",
       "       std_ic_t2f_mou_6  std_ic_t2f_mou_7  std_ic_t2f_mou_8  std_ic_t2o_mou_6  \\\n",
       "count      67231.000000      67312.000000      66296.000000           67231.0   \n",
       "mean           2.146273          2.199395          2.075179               0.0   \n",
       "std           16.522232         16.171533         15.865403               0.0   \n",
       "min            0.000000          0.000000          0.000000               0.0   \n",
       "25%            0.000000          0.000000          0.000000               0.0   \n",
       "50%            0.000000          0.000000          0.000000               0.0   \n",
       "75%            0.000000          0.000000          0.000000               0.0   \n",
       "max         1351.110000       1136.080000       1394.890000               0.0   \n",
       "\n",
       "       std_ic_t2o_mou_7  std_ic_t2o_mou_8  std_ic_mou_6  std_ic_mou_7  \\\n",
       "count           67312.0           66296.0  67231.000000  67312.000000   \n",
       "mean                0.0               0.0     32.360632     33.760809   \n",
       "std                 0.0               0.0    104.381082    114.142230   \n",
       "min                 0.0               0.0      0.000000      0.000000   \n",
       "25%                 0.0               0.0      0.000000      0.000000   \n",
       "50%                 0.0               0.0      5.910000      5.980000   \n",
       "75%                 0.0               0.0     26.780000     28.160000   \n",
       "max                 0.0               0.0   5712.110000   6745.760000   \n",
       "\n",
       "       std_ic_mou_8  total_ic_mou_6  total_ic_mou_7  total_ic_mou_8  \\\n",
       "count  66296.000000    69999.000000    69999.000000    69999.000000   \n",
       "mean      33.077030      199.710640      201.878029      198.486034   \n",
       "std      108.469864      290.114823      296.771338      288.336731   \n",
       "min        0.000000        0.000000        0.000000        0.000000   \n",
       "25%        0.030000       38.640000       41.340000       38.290000   \n",
       "50%        5.830000      114.780000      116.330000      114.610000   \n",
       "75%       27.615000      251.070000      249.470000      249.710000   \n",
       "max     5658.740000     7716.140000     9699.010000    10830.380000   \n",
       "\n",
       "       spl_ic_mou_6  spl_ic_mou_7  spl_ic_mou_8  isd_ic_mou_6  isd_ic_mou_7  \\\n",
       "count  67231.000000  67312.000000  66296.000000  67231.000000  67312.000000   \n",
       "mean       0.061932      0.033371      0.040392      7.394167      8.171162   \n",
       "std        0.164823      0.137322      0.148417     60.951165     63.604165   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "max       19.760000     13.460000     16.860000   6789.410000   5289.540000   \n",
       "\n",
       "       isd_ic_mou_8   ic_others_6   ic_others_7   ic_others_8  \\\n",
       "count  66296.000000  67231.000000  67312.000000  66296.000000   \n",
       "mean       8.348424      0.854063      1.019680      0.963214   \n",
       "std       63.097570     12.149144     13.225373     11.697686   \n",
       "min        0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000   \n",
       "75%        0.000000      0.000000      0.000000      0.000000   \n",
       "max     4127.010000   1362.940000   1495.940000   1209.860000   \n",
       "\n",
       "       total_rech_num_6  total_rech_num_7  total_rech_num_8  total_rech_amt_6  \\\n",
       "count      69999.000000      69999.000000      69999.000000      69999.000000   \n",
       "mean           7.566522          7.706667          7.224932        328.139788   \n",
       "std            7.041452          7.050614          7.195597        404.211068   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            3.000000          3.000000          3.000000        110.000000   \n",
       "50%            6.000000          6.000000          5.000000        229.000000   \n",
       "75%            9.000000         10.000000          9.000000        438.000000   \n",
       "max          170.000000        138.000000        138.000000      35190.000000   \n",
       "\n",
       "       total_rech_amt_7  total_rech_amt_8  max_rech_amt_6  max_rech_amt_7  \\\n",
       "count      69999.000000      69999.000000    69999.000000    69999.000000   \n",
       "mean         322.376363        323.846355      104.569265      104.137573   \n",
       "std          411.070120        426.181405      121.407701      120.782543   \n",
       "min            0.000000          0.000000        0.000000        0.000000   \n",
       "25%          100.000000         90.000000       30.000000       30.000000   \n",
       "50%          220.000000        225.000000      110.000000      110.000000   \n",
       "75%          430.000000        436.000000      120.000000      128.000000   \n",
       "max        40335.000000      45320.000000     4010.000000     3299.000000   \n",
       "\n",
       "       max_rech_amt_8  last_day_rch_amt_6  last_day_rch_amt_7  \\\n",
       "count    69999.000000        69999.000000        69999.000000   \n",
       "mean       107.540351           63.426949           59.294218   \n",
       "std        124.396750           97.954876           95.429492   \n",
       "min          0.000000            0.000000            0.000000   \n",
       "25%         30.000000            0.000000            0.000000   \n",
       "50%         98.000000           30.000000           30.000000   \n",
       "75%        144.000000          110.000000          110.000000   \n",
       "max       4449.000000         4010.000000         3100.000000   \n",
       "\n",
       "       last_day_rch_amt_8  total_rech_data_6  total_rech_data_7  \\\n",
       "count        69999.000000       17568.000000       17865.000000   \n",
       "mean            62.489478           2.467612           2.679989   \n",
       "std            101.996729           2.794610           3.073472   \n",
       "min              0.000000           1.000000           1.000000   \n",
       "25%              0.000000           1.000000           1.000000   \n",
       "50%             30.000000           1.000000           2.000000   \n",
       "75%            130.000000           3.000000           3.000000   \n",
       "max           4449.000000          61.000000          54.000000   \n",
       "\n",
       "       total_rech_data_8  max_rech_data_6  max_rech_data_7  max_rech_data_8  \\\n",
       "count       18417.000000     17568.000000     17865.000000     18417.000000   \n",
       "mean            2.652441       126.500000       126.402071       125.374925   \n",
       "std             3.101265       109.352573       109.459266       109.648799   \n",
       "min             1.000000         1.000000         1.000000         1.000000   \n",
       "25%             1.000000        25.000000        25.000000        25.000000   \n",
       "50%             1.000000       145.000000       145.000000       145.000000   \n",
       "75%             3.000000       177.000000       177.000000       179.000000   \n",
       "max            60.000000      1555.000000      1555.000000      1555.000000   \n",
       "\n",
       "       count_rech_2g_6  count_rech_2g_7  count_rech_2g_8  count_rech_3g_6  \\\n",
       "count     17568.000000     17865.000000     18417.000000     17568.000000   \n",
       "mean          1.865323         2.056311         2.016018         0.602288   \n",
       "std           2.566377         2.799916         2.728246         1.279297   \n",
       "min           0.000000         0.000000         0.000000         0.000000   \n",
       "25%           1.000000         1.000000         1.000000         0.000000   \n",
       "50%           1.000000         1.000000         1.000000         0.000000   \n",
       "75%           2.000000         2.000000         2.000000         1.000000   \n",
       "max          42.000000        48.000000        44.000000        29.000000   \n",
       "\n",
       "       count_rech_3g_7  count_rech_3g_8  av_rech_amt_data_6  \\\n",
       "count     17865.000000     18417.000000        17568.000000   \n",
       "mean          0.623678         0.636423          192.831096   \n",
       "std           1.401230         1.457058          190.623115   \n",
       "min           0.000000         0.000000            1.000000   \n",
       "25%           0.000000         0.000000           82.000000   \n",
       "50%           0.000000         0.000000          154.000000   \n",
       "75%           1.000000         1.000000          252.000000   \n",
       "max          34.000000        45.000000         5920.000000   \n",
       "\n",
       "       av_rech_amt_data_7  av_rech_amt_data_8   vol_2g_mb_6   vol_2g_mb_7  \\\n",
       "count        17865.000000        18417.000000  69999.000000  69999.000000   \n",
       "mean           201.455940          196.815792     51.773924     51.240204   \n",
       "std            198.346141          192.280532    212.513909    211.114667   \n",
       "min              1.000000            1.000000      0.000000      0.000000   \n",
       "25%             92.000000           84.000000      0.000000      0.000000   \n",
       "50%            154.000000          154.000000      0.000000      0.000000   \n",
       "75%            252.000000          252.000000      0.000000      0.000000   \n",
       "max           4365.000000         4076.000000  10285.900000   7873.550000   \n",
       "\n",
       "        vol_2g_mb_8   vol_3g_mb_6   vol_3g_mb_7   vol_3g_mb_8     arpu_3g_6  \\\n",
       "count  69999.000000  69999.000000  69999.000000  69999.000000  17568.000000   \n",
       "mean      50.127506    122.171882    128.934444    135.486541     90.069931   \n",
       "std      213.101403    554.869965    554.096072    568.310234    193.600413   \n",
       "min        0.000000      0.000000      0.000000      0.000000    -20.380000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      0.520000   \n",
       "75%        0.000000      0.000000      0.000000      0.000000    122.070000   \n",
       "max    11117.610000  45735.400000  28144.120000  30036.060000   5054.370000   \n",
       "\n",
       "          arpu_3g_7     arpu_3g_8     arpu_2g_6     arpu_2g_7     arpu_2g_8  \\\n",
       "count  17865.000000  18417.000000  17568.000000  17865.000000  18417.000000   \n",
       "mean      89.115767     90.618564     86.863900     85.846074     86.348404   \n",
       "std      195.826990    189.907986    171.321203    178.067280    170.297094   \n",
       "min      -26.040000    -24.490000    -35.830000    -13.090000    -55.830000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.420000      0.840000     11.300000      8.800000      9.090000   \n",
       "75%      120.860000    122.070000    122.070000    122.070000    122.070000   \n",
       "max     4980.900000   3716.900000   5054.350000   4809.360000   3483.170000   \n",
       "\n",
       "       night_pck_user_6  night_pck_user_7  night_pck_user_8  monthly_2g_6  \\\n",
       "count      17568.000000      17865.000000      18417.000000  69999.000000   \n",
       "mean           0.025273          0.024069          0.021013      0.079287   \n",
       "std            0.156958          0.153269          0.143432      0.294719   \n",
       "min            0.000000          0.000000          0.000000      0.000000   \n",
       "25%            0.000000          0.000000          0.000000      0.000000   \n",
       "50%            0.000000          0.000000          0.000000      0.000000   \n",
       "75%            0.000000          0.000000          0.000000      0.000000   \n",
       "max            1.000000          1.000000          1.000000      4.000000   \n",
       "\n",
       "       monthly_2g_7  monthly_2g_8   sachet_2g_6   sachet_2g_7   sachet_2g_8  \\\n",
       "count  69999.000000  69999.000000  69999.000000  69999.000000  69999.000000   \n",
       "mean       0.083401      0.080930      0.388863      0.441406      0.449492   \n",
       "std        0.304802      0.299254      1.494206      1.651012      1.632450   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "max        5.000000      5.000000     42.000000     48.000000     44.000000   \n",
       "\n",
       "       monthly_3g_6  monthly_3g_7  monthly_3g_8   sachet_3g_6   sachet_3g_7  \\\n",
       "count  69999.000000  69999.000000  69999.000000  69999.000000  69999.000000   \n",
       "mean       0.075815      0.077730      0.081958      0.075344      0.081444   \n",
       "std        0.358905      0.383189      0.381821      0.573003      0.634547   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "max        9.000000     16.000000     16.000000     29.000000     33.000000   \n",
       "\n",
       "        sachet_3g_8     fb_user_6     fb_user_7     fb_user_8           aon  \\\n",
       "count  69999.000000  17568.000000  17865.000000  18417.000000  69999.000000   \n",
       "mean       0.085487      0.916325      0.909544      0.890319   1220.639709   \n",
       "std        0.680035      0.276907      0.286842      0.312501    952.426321   \n",
       "min        0.000000      0.000000      0.000000      0.000000    180.000000   \n",
       "25%        0.000000      1.000000      1.000000      1.000000    468.000000   \n",
       "50%        0.000000      1.000000      1.000000      1.000000    868.000000   \n",
       "75%        0.000000      1.000000      1.000000      1.000000   1813.000000   \n",
       "max       41.000000      1.000000      1.000000      1.000000   4337.000000   \n",
       "\n",
       "         aug_vbc_3g    jul_vbc_3g   jun_vbc_3g  churn_probability  \n",
       "count  69999.000000  69999.000000  69999.00000       69999.000000  \n",
       "mean      68.108597     65.935830     60.07674           0.101887  \n",
       "std      269.328659    267.899034    257.22681           0.302502  \n",
       "min        0.000000      0.000000      0.00000           0.000000  \n",
       "25%        0.000000      0.000000      0.00000           0.000000  \n",
       "50%        0.000000      0.000000      0.00000           0.000000  \n",
       "75%        0.000000      0.000000      0.00000           0.000000  \n",
       "max    12916.220000   9165.600000  11166.21000           1.000000  "
      ]
     },
     "execution_count": 329,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Numerical data statistics\n",
    "train.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read test data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comment: test data does not contain target variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read data to pd.DataFrame\n",
    "test = pd.read_csv('./telecom-churn-case-study-hackathon-gc1/test.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Combine train and test data to process at the same time\n",
    "> We can split it back before doing modeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "metadata": {},
   "outputs": [],
   "source": [
    "train['type'] = 'train'\n",
    "test['type'] = 'test'\n",
    "table = pd.concat([train,test])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Handle missing values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data possess many missing values. In particular, the missing value ratio of each column is:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fb_user_6                   0.748467\n",
       "arpu_2g_6                   0.748467\n",
       "max_rech_data_6             0.748467\n",
       "night_pck_user_6            0.748467\n",
       "total_rech_data_6           0.748467\n",
       "av_rech_amt_data_6          0.748467\n",
       "date_of_last_rech_data_6    0.748467\n",
       "count_rech_2g_6             0.748467\n",
       "count_rech_3g_6             0.748467\n",
       "arpu_3g_6                   0.748467\n",
       "arpu_3g_7                   0.744287\n",
       "count_rech_2g_7             0.744287\n",
       "max_rech_data_7             0.744287\n",
       "fb_user_7                   0.744287\n",
       "count_rech_3g_7             0.744287\n",
       "date_of_last_rech_data_7    0.744287\n",
       "av_rech_amt_data_7          0.744287\n",
       "night_pck_user_7            0.744287\n",
       "arpu_2g_7                   0.744287\n",
       "total_rech_data_7           0.744287\n",
       "date_of_last_rech_data_8    0.736607\n",
       "total_rech_data_8           0.736607\n",
       "night_pck_user_8            0.736607\n",
       "fb_user_8                   0.736607\n",
       "max_rech_data_8             0.736607\n",
       "count_rech_2g_8             0.736607\n",
       "count_rech_3g_8             0.736607\n",
       "arpu_3g_8                   0.736607\n",
       "av_rech_amt_data_8          0.736607\n",
       "arpu_2g_8                   0.736607\n",
       "churn_probability           0.300003\n",
       "std_ic_mou_8                0.053781\n",
       "std_ic_t2m_mou_8            0.053781\n",
       "std_ic_t2o_mou_8            0.053781\n",
       "std_og_t2c_mou_8            0.053781\n",
       "std_ic_t2f_mou_8            0.053781\n",
       "std_og_mou_8                0.053781\n",
       "std_ic_t2t_mou_8            0.053781\n",
       "isd_og_mou_8                0.053781\n",
       "og_others_8                 0.053781\n",
       "spl_og_mou_8                0.053781\n",
       "loc_ic_mou_8                0.053781\n",
       "loc_ic_t2f_mou_8            0.053781\n",
       "std_og_t2f_mou_8            0.053781\n",
       "loc_og_t2c_mou_8            0.053781\n",
       "loc_ic_t2t_mou_8            0.053781\n",
       "loc_og_t2t_mou_8            0.053781\n",
       "onnet_mou_8                 0.053781\n",
       "spl_ic_mou_8                0.053781\n",
       "offnet_mou_8                0.053781\n",
       "std_og_t2t_mou_8            0.053781\n",
       "isd_ic_mou_8                0.053781\n",
       "roam_ic_mou_8               0.053781\n",
       "roam_og_mou_8               0.053781\n",
       "loc_og_mou_8                0.053781\n",
       "ic_others_8                 0.053781\n",
       "std_og_t2m_mou_8            0.053781\n",
       "loc_ic_t2m_mou_8            0.053781\n",
       "loc_og_t2f_mou_8            0.053781\n",
       "loc_og_t2m_mou_8            0.053781\n",
       "loc_ic_mou_6                0.039370\n",
       "spl_ic_mou_6                0.039370\n",
       "std_ic_t2t_mou_6            0.039370\n",
       "std_ic_t2f_mou_6            0.039370\n",
       "ic_others_6                 0.039370\n",
       "isd_ic_mou_6                0.039370\n",
       "std_ic_mou_6                0.039370\n",
       "std_ic_t2m_mou_6            0.039370\n",
       "std_ic_t2o_mou_6            0.039370\n",
       "loc_ic_t2f_mou_6            0.039370\n",
       "loc_og_t2t_mou_6            0.039370\n",
       "std_og_t2m_mou_6            0.039370\n",
       "std_og_t2f_mou_6            0.039370\n",
       "loc_ic_t2m_mou_6            0.039370\n",
       "loc_og_mou_6                0.039370\n",
       "loc_og_t2c_mou_6            0.039370\n",
       "std_og_t2c_mou_6            0.039370\n",
       "loc_og_t2f_mou_6            0.039370\n",
       "std_og_mou_6                0.039370\n",
       "loc_og_t2m_mou_6            0.039370\n",
       "isd_og_mou_6                0.039370\n",
       "std_og_t2t_mou_6            0.039370\n",
       "offnet_mou_6                0.039370\n",
       "onnet_mou_6                 0.039370\n",
       "roam_og_mou_6               0.039370\n",
       "og_others_6                 0.039370\n",
       "roam_ic_mou_6               0.039370\n",
       "spl_og_mou_6                0.039370\n",
       "loc_ic_t2t_mou_6            0.039370\n",
       "roam_og_mou_7               0.038590\n",
       "ic_others_7                 0.038590\n",
       "loc_og_mou_7                0.038590\n",
       "onnet_mou_7                 0.038590\n",
       "offnet_mou_7                0.038590\n",
       "loc_og_t2c_mou_7            0.038590\n",
       "loc_og_t2f_mou_7            0.038590\n",
       "loc_og_t2m_mou_7            0.038590\n",
       "roam_ic_mou_7               0.038590\n",
       "std_og_t2t_mou_7            0.038590\n",
       "loc_og_t2t_mou_7            0.038590\n",
       "loc_ic_t2m_mou_7            0.038590\n",
       "isd_ic_mou_7                0.038590\n",
       "std_og_t2f_mou_7            0.038590\n",
       "loc_ic_t2t_mou_7            0.038590\n",
       "loc_ic_t2f_mou_7            0.038590\n",
       "loc_ic_mou_7                0.038590\n",
       "og_others_7                 0.038590\n",
       "std_ic_t2t_mou_7            0.038590\n",
       "spl_og_mou_7                0.038590\n",
       "std_ic_t2m_mou_7            0.038590\n",
       "isd_og_mou_7                0.038590\n",
       "std_ic_t2f_mou_7            0.038590\n",
       "std_og_mou_7                0.038590\n",
       "std_og_t2m_mou_7            0.038590\n",
       "std_og_t2c_mou_7            0.038590\n",
       "std_ic_mou_7                0.038590\n",
       "std_ic_t2o_mou_7            0.038590\n",
       "spl_ic_mou_7                0.038590\n",
       "date_of_last_rech_8         0.036220\n",
       "date_of_last_rech_7         0.017670\n",
       "date_of_last_rech_6         0.016070\n",
       "last_date_of_month_8        0.011000\n",
       "loc_og_t2o_mou              0.010180\n",
       "std_og_t2o_mou              0.010180\n",
       "loc_ic_t2o_mou              0.010180\n",
       "last_date_of_month_7        0.006010\n",
       "sachet_3g_8                 0.000000\n",
       "monthly_3g_8                0.000000\n",
       "jun_vbc_3g                  0.000000\n",
       "jul_vbc_3g                  0.000000\n",
       "aug_vbc_3g                  0.000000\n",
       "sachet_3g_6                 0.000000\n",
       "aon                         0.000000\n",
       "sachet_3g_7                 0.000000\n",
       "monthly_3g_6                0.000000\n",
       "sachet_2g_8                 0.000000\n",
       "sachet_2g_7                 0.000000\n",
       "sachet_2g_6                 0.000000\n",
       "monthly_2g_8                0.000000\n",
       "monthly_2g_7                0.000000\n",
       "monthly_2g_6                0.000000\n",
       "monthly_3g_7                0.000000\n",
       "id                          0.000000\n",
       "vol_3g_mb_8                 0.000000\n",
       "vol_3g_mb_7                 0.000000\n",
       "last_date_of_month_6        0.000000\n",
       "arpu_6                      0.000000\n",
       "arpu_7                      0.000000\n",
       "arpu_8                      0.000000\n",
       "total_og_mou_6              0.000000\n",
       "total_og_mou_7              0.000000\n",
       "total_og_mou_8              0.000000\n",
       "circle_id                   0.000000\n",
       "total_ic_mou_6              0.000000\n",
       "total_ic_mou_7              0.000000\n",
       "total_ic_mou_8              0.000000\n",
       "total_rech_num_6            0.000000\n",
       "total_rech_num_7            0.000000\n",
       "total_rech_num_8            0.000000\n",
       "total_rech_amt_6            0.000000\n",
       "total_rech_amt_7            0.000000\n",
       "total_rech_amt_8            0.000000\n",
       "max_rech_amt_6              0.000000\n",
       "max_rech_amt_7              0.000000\n",
       "max_rech_amt_8              0.000000\n",
       "last_day_rch_amt_6          0.000000\n",
       "last_day_rch_amt_7          0.000000\n",
       "last_day_rch_amt_8          0.000000\n",
       "vol_2g_mb_6                 0.000000\n",
       "vol_2g_mb_7                 0.000000\n",
       "vol_2g_mb_8                 0.000000\n",
       "vol_3g_mb_6                 0.000000\n",
       "type                        0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 332,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(table.isnull().sum()/table.shape[0]).sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We do not need id columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in table.columns:\n",
    "    if 'id' in col:\n",
    "        table = table.drop(col,axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We do not need last date of month columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in table.columns:\n",
    "    if 'last_date_of_month' in col:\n",
    "        table = table.drop(col,axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We do not even need any date column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 335,
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in table.columns:\n",
    "    if 'date' in col:\n",
    "        table = table.drop(col,axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comment: \n",
    "- Customers who have never make calls or use network data do not have these data (missing). Hence, we must fill NaN by 0\n",
    "- Customers who have never recharged do not have recharge data (missing). Hence, we must fill NaN by 0\n",
    "- Customers who have never used internet do not have internet usage volume. Hence, we must fill NaN by 0\n",
    "- Customers who have never generated revenue do not have revenue data. Hence, we must fill NaN by 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in table.columns:\n",
    "    condition = any(x in col for x in ['ic','og','rech','onnet','offnet','vol','arpu'])\n",
    "    if condition:\n",
    "        table[col] = table[col].fillna(0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We do not need date of last recharge data and date of last recharge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in table.columns:\n",
    "    if 'date_of_last_reach_data' in col:\n",
    "        table = table.drop(col,axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We drop any columns possess missing value ratio > 70%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in table.columns:\n",
    "    missing_value_ratio = sum(table[col].isnull()) / table.shape[0]\n",
    "    if missing_value_ratio > 0.7 and col != 'churn_probability':\n",
    "        table = table.drop(col,axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Re-examine the missing value ratio of each column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "churn_probability     0.300003\n",
       "loc_og_t2o_mou        0.000000\n",
       "max_rech_amt_7        0.000000\n",
       "total_rech_num_6      0.000000\n",
       "total_rech_num_7      0.000000\n",
       "total_rech_num_8      0.000000\n",
       "total_rech_amt_6      0.000000\n",
       "total_rech_amt_7      0.000000\n",
       "total_rech_amt_8      0.000000\n",
       "max_rech_amt_6        0.000000\n",
       "max_rech_amt_8        0.000000\n",
       "ic_others_7           0.000000\n",
       "last_day_rch_amt_6    0.000000\n",
       "last_day_rch_amt_7    0.000000\n",
       "last_day_rch_amt_8    0.000000\n",
       "total_rech_data_6     0.000000\n",
       "total_rech_data_7     0.000000\n",
       "total_rech_data_8     0.000000\n",
       "max_rech_data_6       0.000000\n",
       "ic_others_8           0.000000\n",
       "ic_others_6           0.000000\n",
       "max_rech_data_8       0.000000\n",
       "isd_ic_mou_8          0.000000\n",
       "std_ic_t2f_mou_8      0.000000\n",
       "std_ic_t2o_mou_6      0.000000\n",
       "std_ic_t2o_mou_7      0.000000\n",
       "std_ic_t2o_mou_8      0.000000\n",
       "std_ic_mou_6          0.000000\n",
       "std_ic_mou_7          0.000000\n",
       "std_ic_mou_8          0.000000\n",
       "total_ic_mou_6        0.000000\n",
       "total_ic_mou_7        0.000000\n",
       "total_ic_mou_8        0.000000\n",
       "spl_ic_mou_6          0.000000\n",
       "spl_ic_mou_7          0.000000\n",
       "spl_ic_mou_8          0.000000\n",
       "isd_ic_mou_6          0.000000\n",
       "isd_ic_mou_7          0.000000\n",
       "max_rech_data_7       0.000000\n",
       "count_rech_2g_6       0.000000\n",
       "std_og_t2o_mou        0.000000\n",
       "monthly_3g_7          0.000000\n",
       "monthly_2g_6          0.000000\n",
       "monthly_2g_7          0.000000\n",
       "monthly_2g_8          0.000000\n",
       "sachet_2g_6           0.000000\n",
       "sachet_2g_7           0.000000\n",
       "sachet_2g_8           0.000000\n",
       "monthly_3g_6          0.000000\n",
       "monthly_3g_8          0.000000\n",
       "count_rech_2g_7       0.000000\n",
       "sachet_3g_6           0.000000\n",
       "sachet_3g_7           0.000000\n",
       "sachet_3g_8           0.000000\n",
       "aon                   0.000000\n",
       "aug_vbc_3g            0.000000\n",
       "jul_vbc_3g            0.000000\n",
       "jun_vbc_3g            0.000000\n",
       "arpu_2g_8             0.000000\n",
       "arpu_2g_7             0.000000\n",
       "arpu_2g_6             0.000000\n",
       "arpu_3g_8             0.000000\n",
       "count_rech_2g_8       0.000000\n",
       "count_rech_3g_6       0.000000\n",
       "count_rech_3g_7       0.000000\n",
       "count_rech_3g_8       0.000000\n",
       "av_rech_amt_data_6    0.000000\n",
       "av_rech_amt_data_7    0.000000\n",
       "av_rech_amt_data_8    0.000000\n",
       "vol_2g_mb_6           0.000000\n",
       "vol_2g_mb_7           0.000000\n",
       "vol_2g_mb_8           0.000000\n",
       "vol_3g_mb_6           0.000000\n",
       "vol_3g_mb_7           0.000000\n",
       "vol_3g_mb_8           0.000000\n",
       "arpu_3g_6             0.000000\n",
       "arpu_3g_7             0.000000\n",
       "std_ic_t2f_mou_7      0.000000\n",
       "std_ic_t2f_mou_6      0.000000\n",
       "std_ic_t2m_mou_8      0.000000\n",
       "loc_og_t2c_mou_7      0.000000\n",
       "loc_og_t2m_mou_6      0.000000\n",
       "loc_og_t2m_mou_7      0.000000\n",
       "loc_og_t2m_mou_8      0.000000\n",
       "loc_og_t2f_mou_6      0.000000\n",
       "loc_og_t2f_mou_7      0.000000\n",
       "loc_og_t2f_mou_8      0.000000\n",
       "loc_og_t2c_mou_6      0.000000\n",
       "loc_og_t2c_mou_8      0.000000\n",
       "std_og_t2m_mou_8      0.000000\n",
       "loc_og_mou_6          0.000000\n",
       "loc_og_mou_7          0.000000\n",
       "loc_og_mou_8          0.000000\n",
       "std_og_t2t_mou_6      0.000000\n",
       "std_og_t2t_mou_7      0.000000\n",
       "std_og_t2t_mou_8      0.000000\n",
       "std_og_t2m_mou_6      0.000000\n",
       "loc_og_t2t_mou_8      0.000000\n",
       "loc_og_t2t_mou_7      0.000000\n",
       "loc_og_t2t_mou_6      0.000000\n",
       "roam_og_mou_8         0.000000\n",
       "loc_ic_t2o_mou        0.000000\n",
       "arpu_6                0.000000\n",
       "arpu_7                0.000000\n",
       "arpu_8                0.000000\n",
       "onnet_mou_6           0.000000\n",
       "onnet_mou_7           0.000000\n",
       "onnet_mou_8           0.000000\n",
       "offnet_mou_6          0.000000\n",
       "offnet_mou_7          0.000000\n",
       "offnet_mou_8          0.000000\n",
       "roam_ic_mou_6         0.000000\n",
       "roam_ic_mou_7         0.000000\n",
       "roam_ic_mou_8         0.000000\n",
       "roam_og_mou_6         0.000000\n",
       "roam_og_mou_7         0.000000\n",
       "std_og_t2m_mou_7      0.000000\n",
       "std_og_t2f_mou_6      0.000000\n",
       "std_ic_t2m_mou_7      0.000000\n",
       "loc_ic_t2f_mou_7      0.000000\n",
       "loc_ic_t2t_mou_6      0.000000\n",
       "loc_ic_t2t_mou_7      0.000000\n",
       "loc_ic_t2t_mou_8      0.000000\n",
       "loc_ic_t2m_mou_6      0.000000\n",
       "loc_ic_t2m_mou_7      0.000000\n",
       "loc_ic_t2m_mou_8      0.000000\n",
       "loc_ic_t2f_mou_6      0.000000\n",
       "loc_ic_t2f_mou_8      0.000000\n",
       "std_og_t2f_mou_7      0.000000\n",
       "loc_ic_mou_6          0.000000\n",
       "loc_ic_mou_7          0.000000\n",
       "loc_ic_mou_8          0.000000\n",
       "std_ic_t2t_mou_6      0.000000\n",
       "std_ic_t2t_mou_7      0.000000\n",
       "std_ic_t2t_mou_8      0.000000\n",
       "std_ic_t2m_mou_6      0.000000\n",
       "total_og_mou_8        0.000000\n",
       "total_og_mou_7        0.000000\n",
       "total_og_mou_6        0.000000\n",
       "og_others_8           0.000000\n",
       "std_og_t2f_mou_8      0.000000\n",
       "std_og_t2c_mou_6      0.000000\n",
       "std_og_t2c_mou_7      0.000000\n",
       "std_og_t2c_mou_8      0.000000\n",
       "std_og_mou_6          0.000000\n",
       "std_og_mou_7          0.000000\n",
       "std_og_mou_8          0.000000\n",
       "isd_og_mou_6          0.000000\n",
       "isd_og_mou_7          0.000000\n",
       "isd_og_mou_8          0.000000\n",
       "spl_og_mou_6          0.000000\n",
       "spl_og_mou_7          0.000000\n",
       "spl_og_mou_8          0.000000\n",
       "og_others_6           0.000000\n",
       "og_others_7           0.000000\n",
       "type                  0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 339,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(table.isnull().sum()/table.shape[0]).sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Feature Engineering & Variable Transformation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate total recharge for data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "metadata": {},
   "outputs": [],
   "source": [
    "table['total_data_rech_6'] = table['total_rech_data_6'] * table['av_rech_amt_data_6']\n",
    "table['total_data_rech_7'] = table['total_rech_data_7'] * table['av_rech_amt_data_7']\n",
    "table['total_data_rech_8'] = table['total_rech_data_8'] * table['av_rech_amt_data_8']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate total recharge (calls + data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [],
   "source": [
    "table['total_rech_6'] = table['total_rech_amt_6'] + table['total_data_rech_6']\n",
    "table['total_rech_7']  = table['total_rech_amt_7'] + table['total_data_rech_7']\n",
    "table['total_rech_8'] = table['total_rech_amt_8'] + table['total_data_rech_8']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Split the data back to the original train and test set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = table.loc[table['type']=='train']\n",
    "train = train.drop('type',axis=1)\n",
    "test = table.loc[table['type']=='test']\n",
    "test = test.drop('type',axis=1)\n",
    "\n",
    "del table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "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>loc_og_t2o_mou</th>\n",
       "      <th>std_og_t2o_mou</th>\n",
       "      <th>loc_ic_t2o_mou</th>\n",
       "      <th>arpu_6</th>\n",
       "      <th>arpu_7</th>\n",
       "      <th>arpu_8</th>\n",
       "      <th>onnet_mou_6</th>\n",
       "      <th>onnet_mou_7</th>\n",
       "      <th>onnet_mou_8</th>\n",
       "      <th>offnet_mou_6</th>\n",
       "      <th>offnet_mou_7</th>\n",
       "      <th>offnet_mou_8</th>\n",
       "      <th>roam_ic_mou_6</th>\n",
       "      <th>roam_ic_mou_7</th>\n",
       "      <th>roam_ic_mou_8</th>\n",
       "      <th>roam_og_mou_6</th>\n",
       "      <th>roam_og_mou_7</th>\n",
       "      <th>roam_og_mou_8</th>\n",
       "      <th>loc_og_t2t_mou_6</th>\n",
       "      <th>loc_og_t2t_mou_7</th>\n",
       "      <th>loc_og_t2t_mou_8</th>\n",
       "      <th>loc_og_t2m_mou_6</th>\n",
       "      <th>loc_og_t2m_mou_7</th>\n",
       "      <th>loc_og_t2m_mou_8</th>\n",
       "      <th>loc_og_t2f_mou_6</th>\n",
       "      <th>loc_og_t2f_mou_7</th>\n",
       "      <th>loc_og_t2f_mou_8</th>\n",
       "      <th>loc_og_t2c_mou_6</th>\n",
       "      <th>loc_og_t2c_mou_7</th>\n",
       "      <th>loc_og_t2c_mou_8</th>\n",
       "      <th>loc_og_mou_6</th>\n",
       "      <th>loc_og_mou_7</th>\n",
       "      <th>loc_og_mou_8</th>\n",
       "      <th>std_og_t2t_mou_6</th>\n",
       "      <th>std_og_t2t_mou_7</th>\n",
       "      <th>std_og_t2t_mou_8</th>\n",
       "      <th>std_og_t2m_mou_6</th>\n",
       "      <th>std_og_t2m_mou_7</th>\n",
       "      <th>std_og_t2m_mou_8</th>\n",
       "      <th>std_og_t2f_mou_6</th>\n",
       "      <th>std_og_t2f_mou_7</th>\n",
       "      <th>std_og_t2f_mou_8</th>\n",
       "      <th>std_og_t2c_mou_6</th>\n",
       "      <th>std_og_t2c_mou_7</th>\n",
       "      <th>std_og_t2c_mou_8</th>\n",
       "      <th>std_og_mou_6</th>\n",
       "      <th>std_og_mou_7</th>\n",
       "      <th>std_og_mou_8</th>\n",
       "      <th>isd_og_mou_6</th>\n",
       "      <th>isd_og_mou_7</th>\n",
       "      <th>isd_og_mou_8</th>\n",
       "      <th>spl_og_mou_6</th>\n",
       "      <th>spl_og_mou_7</th>\n",
       "      <th>spl_og_mou_8</th>\n",
       "      <th>og_others_6</th>\n",
       "      <th>og_others_7</th>\n",
       "      <th>og_others_8</th>\n",
       "      <th>total_og_mou_6</th>\n",
       "      <th>total_og_mou_7</th>\n",
       "      <th>total_og_mou_8</th>\n",
       "      <th>loc_ic_t2t_mou_6</th>\n",
       "      <th>loc_ic_t2t_mou_7</th>\n",
       "      <th>loc_ic_t2t_mou_8</th>\n",
       "      <th>loc_ic_t2m_mou_6</th>\n",
       "      <th>loc_ic_t2m_mou_7</th>\n",
       "      <th>loc_ic_t2m_mou_8</th>\n",
       "      <th>loc_ic_t2f_mou_6</th>\n",
       "      <th>loc_ic_t2f_mou_7</th>\n",
       "      <th>loc_ic_t2f_mou_8</th>\n",
       "      <th>loc_ic_mou_6</th>\n",
       "      <th>loc_ic_mou_7</th>\n",
       "      <th>loc_ic_mou_8</th>\n",
       "      <th>std_ic_t2t_mou_6</th>\n",
       "      <th>std_ic_t2t_mou_7</th>\n",
       "      <th>std_ic_t2t_mou_8</th>\n",
       "      <th>std_ic_t2m_mou_6</th>\n",
       "      <th>std_ic_t2m_mou_7</th>\n",
       "      <th>std_ic_t2m_mou_8</th>\n",
       "      <th>std_ic_t2f_mou_6</th>\n",
       "      <th>std_ic_t2f_mou_7</th>\n",
       "      <th>std_ic_t2f_mou_8</th>\n",
       "      <th>std_ic_t2o_mou_6</th>\n",
       "      <th>std_ic_t2o_mou_7</th>\n",
       "      <th>std_ic_t2o_mou_8</th>\n",
       "      <th>std_ic_mou_6</th>\n",
       "      <th>std_ic_mou_7</th>\n",
       "      <th>std_ic_mou_8</th>\n",
       "      <th>total_ic_mou_6</th>\n",
       "      <th>total_ic_mou_7</th>\n",
       "      <th>total_ic_mou_8</th>\n",
       "      <th>spl_ic_mou_6</th>\n",
       "      <th>spl_ic_mou_7</th>\n",
       "      <th>spl_ic_mou_8</th>\n",
       "      <th>isd_ic_mou_6</th>\n",
       "      <th>isd_ic_mou_7</th>\n",
       "      <th>isd_ic_mou_8</th>\n",
       "      <th>ic_others_6</th>\n",
       "      <th>ic_others_7</th>\n",
       "      <th>ic_others_8</th>\n",
       "      <th>total_rech_num_6</th>\n",
       "      <th>total_rech_num_7</th>\n",
       "      <th>total_rech_num_8</th>\n",
       "      <th>total_rech_amt_6</th>\n",
       "      <th>total_rech_amt_7</th>\n",
       "      <th>total_rech_amt_8</th>\n",
       "      <th>max_rech_amt_6</th>\n",
       "      <th>max_rech_amt_7</th>\n",
       "      <th>max_rech_amt_8</th>\n",
       "      <th>last_day_rch_amt_6</th>\n",
       "      <th>last_day_rch_amt_7</th>\n",
       "      <th>last_day_rch_amt_8</th>\n",
       "      <th>total_rech_data_6</th>\n",
       "      <th>total_rech_data_7</th>\n",
       "      <th>total_rech_data_8</th>\n",
       "      <th>max_rech_data_6</th>\n",
       "      <th>max_rech_data_7</th>\n",
       "      <th>max_rech_data_8</th>\n",
       "      <th>count_rech_2g_6</th>\n",
       "      <th>count_rech_2g_7</th>\n",
       "      <th>count_rech_2g_8</th>\n",
       "      <th>count_rech_3g_6</th>\n",
       "      <th>count_rech_3g_7</th>\n",
       "      <th>count_rech_3g_8</th>\n",
       "      <th>av_rech_amt_data_6</th>\n",
       "      <th>av_rech_amt_data_7</th>\n",
       "      <th>av_rech_amt_data_8</th>\n",
       "      <th>vol_2g_mb_6</th>\n",
       "      <th>vol_2g_mb_7</th>\n",
       "      <th>vol_2g_mb_8</th>\n",
       "      <th>vol_3g_mb_6</th>\n",
       "      <th>vol_3g_mb_7</th>\n",
       "      <th>vol_3g_mb_8</th>\n",
       "      <th>arpu_3g_6</th>\n",
       "      <th>arpu_3g_7</th>\n",
       "      <th>arpu_3g_8</th>\n",
       "      <th>arpu_2g_6</th>\n",
       "      <th>arpu_2g_7</th>\n",
       "      <th>arpu_2g_8</th>\n",
       "      <th>monthly_2g_6</th>\n",
       "      <th>monthly_2g_7</th>\n",
       "      <th>monthly_2g_8</th>\n",
       "      <th>sachet_2g_6</th>\n",
       "      <th>sachet_2g_7</th>\n",
       "      <th>sachet_2g_8</th>\n",
       "      <th>monthly_3g_6</th>\n",
       "      <th>monthly_3g_7</th>\n",
       "      <th>monthly_3g_8</th>\n",
       "      <th>sachet_3g_6</th>\n",
       "      <th>sachet_3g_7</th>\n",
       "      <th>sachet_3g_8</th>\n",
       "      <th>aon</th>\n",
       "      <th>aug_vbc_3g</th>\n",
       "      <th>jul_vbc_3g</th>\n",
       "      <th>jun_vbc_3g</th>\n",
       "      <th>churn_probability</th>\n",
       "      <th>total_data_rech_6</th>\n",
       "      <th>total_data_rech_7</th>\n",
       "      <th>total_data_rech_8</th>\n",
       "      <th>total_rech_6</th>\n",
       "      <th>total_rech_7</th>\n",
       "      <th>total_rech_8</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31.277</td>\n",
       "      <td>87.009</td>\n",
       "      <td>7.527</td>\n",
       "      <td>48.58</td>\n",
       "      <td>124.38</td>\n",
       "      <td>1.29</td>\n",
       "      <td>32.24</td>\n",
       "      <td>96.68</td>\n",
       "      <td>2.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.28</td>\n",
       "      <td>5.29</td>\n",
       "      <td>16.04</td>\n",
       "      <td>2.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.53</td>\n",
       "      <td>16.04</td>\n",
       "      <td>2.61</td>\n",
       "      <td>46.34</td>\n",
       "      <td>124.38</td>\n",
       "      <td>1.01</td>\n",
       "      <td>18.75</td>\n",
       "      <td>80.61</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65.09</td>\n",
       "      <td>204.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.20</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.21</td>\n",
       "      <td>221.68</td>\n",
       "      <td>3.63</td>\n",
       "      <td>2.43</td>\n",
       "      <td>3.68</td>\n",
       "      <td>7.79</td>\n",
       "      <td>0.83</td>\n",
       "      <td>21.08</td>\n",
       "      <td>16.91</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.26</td>\n",
       "      <td>24.76</td>\n",
       "      <td>24.71</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.61</td>\n",
       "      <td>0.21</td>\n",
       "      <td>7.46</td>\n",
       "      <td>19.96</td>\n",
       "      <td>14.96</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.46</td>\n",
       "      <td>27.58</td>\n",
       "      <td>15.18</td>\n",
       "      <td>11.84</td>\n",
       "      <td>53.04</td>\n",
       "      <td>40.56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.11</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>77</td>\n",
       "      <td>65</td>\n",
       "      <td>10</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>10</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1958</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>122.787</td>\n",
       "      <td>42.953</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>25.99</td>\n",
       "      <td>30.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>22.01</td>\n",
       "      <td>29.79</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>30.73</td>\n",
       "      <td>31.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>30.73</td>\n",
       "      <td>31.66</td>\n",
       "      <td>1.68</td>\n",
       "      <td>19.09</td>\n",
       "      <td>10.53</td>\n",
       "      <td>1.41</td>\n",
       "      <td>18.68</td>\n",
       "      <td>11.09</td>\n",
       "      <td>0.35</td>\n",
       "      <td>1.66</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.44</td>\n",
       "      <td>39.44</td>\n",
       "      <td>25.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.44</td>\n",
       "      <td>39.44</td>\n",
       "      <td>25.04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>352.91</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.96</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>122.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>122.08</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>710</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.806</td>\n",
       "      <td>103.176</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.53</td>\n",
       "      <td>15.93</td>\n",
       "      <td>0.00</td>\n",
       "      <td>53.99</td>\n",
       "      <td>82.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.53</td>\n",
       "      <td>12.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>24.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.14</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>24.64</td>\n",
       "      <td>12.98</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.94</td>\n",
       "      <td>0.00</td>\n",
       "      <td>28.94</td>\n",
       "      <td>82.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.94</td>\n",
       "      <td>84.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.89</td>\n",
       "      <td>1.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56.49</td>\n",
       "      <td>99.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.51</td>\n",
       "      <td>6.16</td>\n",
       "      <td>6.49</td>\n",
       "      <td>89.86</td>\n",
       "      <td>25.18</td>\n",
       "      <td>23.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>94.38</td>\n",
       "      <td>31.34</td>\n",
       "      <td>30.01</td>\n",
       "      <td>11.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>18.21</td>\n",
       "      <td>2.48</td>\n",
       "      <td>6.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.91</td>\n",
       "      <td>2.48</td>\n",
       "      <td>6.38</td>\n",
       "      <td>124.29</td>\n",
       "      <td>33.83</td>\n",
       "      <td>36.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.25</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>70</td>\n",
       "      <td>120</td>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>882</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156.362</td>\n",
       "      <td>205.260</td>\n",
       "      <td>111.095</td>\n",
       "      <td>7.26</td>\n",
       "      <td>16.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>68.76</td>\n",
       "      <td>78.48</td>\n",
       "      <td>50.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.63</td>\n",
       "      <td>6.99</td>\n",
       "      <td>3.94</td>\n",
       "      <td>0.00</td>\n",
       "      <td>37.91</td>\n",
       "      <td>44.89</td>\n",
       "      <td>23.63</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.03</td>\n",
       "      <td>44.91</td>\n",
       "      <td>48.84</td>\n",
       "      <td>23.63</td>\n",
       "      <td>0.26</td>\n",
       "      <td>12.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>15.33</td>\n",
       "      <td>25.93</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.16</td>\n",
       "      <td>37.99</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.95</td>\n",
       "      <td>9.13</td>\n",
       "      <td>25.61</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.03</td>\n",
       "      <td>95.98</td>\n",
       "      <td>53.84</td>\n",
       "      <td>24.98</td>\n",
       "      <td>4.84</td>\n",
       "      <td>23.88</td>\n",
       "      <td>53.99</td>\n",
       "      <td>44.23</td>\n",
       "      <td>57.14</td>\n",
       "      <td>7.23</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.00</td>\n",
       "      <td>86.21</td>\n",
       "      <td>49.89</td>\n",
       "      <td>81.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.89</td>\n",
       "      <td>0.28</td>\n",
       "      <td>2.81</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.89</td>\n",
       "      <td>0.28</td>\n",
       "      <td>2.81</td>\n",
       "      <td>95.11</td>\n",
       "      <td>50.18</td>\n",
       "      <td>83.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>160</td>\n",
       "      <td>240</td>\n",
       "      <td>130</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>50</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>982</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>130.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>240.708</td>\n",
       "      <td>128.191</td>\n",
       "      <td>101.565</td>\n",
       "      <td>21.28</td>\n",
       "      <td>4.83</td>\n",
       "      <td>6.13</td>\n",
       "      <td>56.99</td>\n",
       "      <td>38.11</td>\n",
       "      <td>9.63</td>\n",
       "      <td>53.64</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>15.73</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.16</td>\n",
       "      <td>4.83</td>\n",
       "      <td>6.13</td>\n",
       "      <td>36.74</td>\n",
       "      <td>19.88</td>\n",
       "      <td>4.61</td>\n",
       "      <td>11.99</td>\n",
       "      <td>1.23</td>\n",
       "      <td>5.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.85</td>\n",
       "      <td>0.00</td>\n",
       "      <td>58.91</td>\n",
       "      <td>25.94</td>\n",
       "      <td>15.76</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.35</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>63.26</td>\n",
       "      <td>42.94</td>\n",
       "      <td>15.76</td>\n",
       "      <td>5.44</td>\n",
       "      <td>1.39</td>\n",
       "      <td>2.66</td>\n",
       "      <td>10.58</td>\n",
       "      <td>4.33</td>\n",
       "      <td>19.49</td>\n",
       "      <td>5.51</td>\n",
       "      <td>3.63</td>\n",
       "      <td>6.14</td>\n",
       "      <td>21.54</td>\n",
       "      <td>9.36</td>\n",
       "      <td>28.31</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>21.54</td>\n",
       "      <td>9.36</td>\n",
       "      <td>28.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>290</td>\n",
       "      <td>136</td>\n",
       "      <td>122</td>\n",
       "      <td>50</td>\n",
       "      <td>41</td>\n",
       "      <td>30</td>\n",
       "      <td>25</td>\n",
       "      <td>10</td>\n",
       "      <td>30</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>390.80</td>\n",
       "      <td>308.89</td>\n",
       "      <td>213.47</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.12</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>647</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1225.0</td>\n",
       "      <td>1337.0</td>\n",
       "      <td>852.0</td>\n",
       "      <td>1515.0</td>\n",
       "      <td>1473.0</td>\n",
       "      <td>974.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.193</td>\n",
       "      <td>83.351</td>\n",
       "      <td>88.462</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.78</td>\n",
       "      <td>0.45</td>\n",
       "      <td>17.14</td>\n",
       "      <td>24.26</td>\n",
       "      <td>3.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.78</td>\n",
       "      <td>0.45</td>\n",
       "      <td>3.56</td>\n",
       "      <td>20.63</td>\n",
       "      <td>3.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.50</td>\n",
       "      <td>15.28</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.96</td>\n",
       "      <td>22.41</td>\n",
       "      <td>3.89</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.08</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.08</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.50</td>\n",
       "      <td>18.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.54</td>\n",
       "      <td>41.76</td>\n",
       "      <td>3.89</td>\n",
       "      <td>17.51</td>\n",
       "      <td>37.94</td>\n",
       "      <td>34.18</td>\n",
       "      <td>221.79</td>\n",
       "      <td>296.31</td>\n",
       "      <td>125.66</td>\n",
       "      <td>27.96</td>\n",
       "      <td>38.13</td>\n",
       "      <td>41.08</td>\n",
       "      <td>267.28</td>\n",
       "      <td>372.39</td>\n",
       "      <td>200.93</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.83</td>\n",
       "      <td>4.46</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.44</td>\n",
       "      <td>8.13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.83</td>\n",
       "      <td>10.91</td>\n",
       "      <td>8.13</td>\n",
       "      <td>271.29</td>\n",
       "      <td>383.51</td>\n",
       "      <td>209.43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.24</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>100</td>\n",
       "      <td>90</td>\n",
       "      <td>100</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>20</td>\n",
       "      <td>30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>698</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.173</td>\n",
       "      <td>95.130</td>\n",
       "      <td>6.386</td>\n",
       "      <td>38.81</td>\n",
       "      <td>40.56</td>\n",
       "      <td>19.61</td>\n",
       "      <td>31.63</td>\n",
       "      <td>54.18</td>\n",
       "      <td>5.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>38.81</td>\n",
       "      <td>24.51</td>\n",
       "      <td>19.61</td>\n",
       "      <td>31.63</td>\n",
       "      <td>54.18</td>\n",
       "      <td>5.58</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>70.44</td>\n",
       "      <td>78.69</td>\n",
       "      <td>25.19</td>\n",
       "      <td>0.00</td>\n",
       "      <td>16.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>16.05</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.44</td>\n",
       "      <td>94.74</td>\n",
       "      <td>25.31</td>\n",
       "      <td>94.09</td>\n",
       "      <td>54.59</td>\n",
       "      <td>86.83</td>\n",
       "      <td>7.38</td>\n",
       "      <td>0.81</td>\n",
       "      <td>31.53</td>\n",
       "      <td>0.16</td>\n",
       "      <td>3.36</td>\n",
       "      <td>3.46</td>\n",
       "      <td>101.64</td>\n",
       "      <td>58.78</td>\n",
       "      <td>121.83</td>\n",
       "      <td>3.58</td>\n",
       "      <td>4.34</td>\n",
       "      <td>2.95</td>\n",
       "      <td>0.91</td>\n",
       "      <td>1.16</td>\n",
       "      <td>9.78</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.49</td>\n",
       "      <td>5.69</td>\n",
       "      <td>12.73</td>\n",
       "      <td>106.14</td>\n",
       "      <td>64.48</td>\n",
       "      <td>134.56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>130</td>\n",
       "      <td>0</td>\n",
       "      <td>130</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>130</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>130</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1083</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>130.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>167.861</td>\n",
       "      <td>167.869</td>\n",
       "      <td>167.866</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.36</td>\n",
       "      <td>6.04</td>\n",
       "      <td>28.44</td>\n",
       "      <td>13.41</td>\n",
       "      <td>9.16</td>\n",
       "      <td>8.73</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.14</td>\n",
       "      <td>24.78</td>\n",
       "      <td>15.21</td>\n",
       "      <td>41.33</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.68</td>\n",
       "      <td>2.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.68</td>\n",
       "      <td>2.49</td>\n",
       "      <td>25.11</td>\n",
       "      <td>15.89</td>\n",
       "      <td>43.83</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>198</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>167.53</td>\n",
       "      <td>6.29</td>\n",
       "      <td>5.40</td>\n",
       "      <td>177.9</td>\n",
       "      <td>151.58</td>\n",
       "      <td>271.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>584</td>\n",
       "      <td>82.26</td>\n",
       "      <td>73.56</td>\n",
       "      <td>177.14</td>\n",
       "      <td>0.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>396.0</td>\n",
       "      <td>396.0</td>\n",
       "      <td>396.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>163.550</td>\n",
       "      <td>90.250</td>\n",
       "      <td>51.726</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>47.81</td>\n",
       "      <td>50.88</td>\n",
       "      <td>21.74</td>\n",
       "      <td>28.26</td>\n",
       "      <td>11.31</td>\n",
       "      <td>47.81</td>\n",
       "      <td>47.81</td>\n",
       "      <td>50.88</td>\n",
       "      <td>21.74</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>200</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2455</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>101.984</td>\n",
       "      <td>259.265</td>\n",
       "      <td>65.686</td>\n",
       "      <td>27.49</td>\n",
       "      <td>111.78</td>\n",
       "      <td>53.38</td>\n",
       "      <td>110.51</td>\n",
       "      <td>124.04</td>\n",
       "      <td>85.54</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>32.28</td>\n",
       "      <td>0.00</td>\n",
       "      <td>27.49</td>\n",
       "      <td>94.74</td>\n",
       "      <td>53.38</td>\n",
       "      <td>103.44</td>\n",
       "      <td>104.88</td>\n",
       "      <td>77.99</td>\n",
       "      <td>2.41</td>\n",
       "      <td>3.43</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>133.36</td>\n",
       "      <td>203.06</td>\n",
       "      <td>131.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.64</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.55</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.64</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.55</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>138.01</td>\n",
       "      <td>203.54</td>\n",
       "      <td>138.93</td>\n",
       "      <td>60.88</td>\n",
       "      <td>259.66</td>\n",
       "      <td>60.48</td>\n",
       "      <td>250.21</td>\n",
       "      <td>243.13</td>\n",
       "      <td>191.64</td>\n",
       "      <td>13.94</td>\n",
       "      <td>24.46</td>\n",
       "      <td>15.11</td>\n",
       "      <td>325.04</td>\n",
       "      <td>527.26</td>\n",
       "      <td>267.24</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.64</td>\n",
       "      <td>13.64</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.51</td>\n",
       "      <td>6.64</td>\n",
       "      <td>13.64</td>\n",
       "      <td>328.56</td>\n",
       "      <td>533.91</td>\n",
       "      <td>280.89</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>128</td>\n",
       "      <td>160</td>\n",
       "      <td>279</td>\n",
       "      <td>128</td>\n",
       "      <td>110</td>\n",
       "      <td>149</td>\n",
       "      <td>128</td>\n",
       "      <td>0</td>\n",
       "      <td>149</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2530</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>279.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   loc_og_t2o_mou  std_og_t2o_mou  loc_ic_t2o_mou   arpu_6   arpu_7   arpu_8  \\\n",
       "0             0.0             0.0             0.0   31.277   87.009    7.527   \n",
       "1             0.0             0.0             0.0    0.000  122.787   42.953   \n",
       "2             0.0             0.0             0.0   60.806  103.176    0.000   \n",
       "3             0.0             0.0             0.0  156.362  205.260  111.095   \n",
       "4             0.0             0.0             0.0  240.708  128.191  101.565   \n",
       "5             0.0             0.0             0.0   86.193   83.351   88.462   \n",
       "6             0.0             0.0             0.0   54.173   95.130    6.386   \n",
       "7             0.0             0.0             0.0  167.861  167.869  167.866   \n",
       "8             0.0             0.0             0.0  163.550   90.250   51.726   \n",
       "9             0.0             0.0             0.0  101.984  259.265   65.686   \n",
       "\n",
       "   onnet_mou_6  onnet_mou_7  onnet_mou_8  offnet_mou_6  offnet_mou_7  \\\n",
       "0        48.58       124.38         1.29         32.24         96.68   \n",
       "1         0.00         0.00         0.00          0.00         25.99   \n",
       "2         0.53        15.93         0.00         53.99         82.05   \n",
       "3         7.26        16.01         0.00         68.76         78.48   \n",
       "4        21.28         4.83         6.13         56.99         38.11   \n",
       "5         1.39         1.78         0.45         17.14         24.26   \n",
       "6        38.81        40.56        19.61         31.63         54.18   \n",
       "7         0.00         0.00         0.00          0.00          0.00   \n",
       "8         0.00         0.00         0.00         47.81         50.88   \n",
       "9        27.49       111.78        53.38        110.51        124.04   \n",
       "\n",
       "   offnet_mou_8  roam_ic_mou_6  roam_ic_mou_7  roam_ic_mou_8  roam_og_mou_6  \\\n",
       "0          2.33           0.00           0.00           0.00           0.00   \n",
       "1         30.89           0.00           0.00           0.00           0.00   \n",
       "2          0.00           0.00           0.00           0.00           0.00   \n",
       "3         50.23           0.00           0.00           0.00           0.00   \n",
       "4          9.63          53.64           0.00           0.00          15.73   \n",
       "5          3.44           0.00           0.00           0.00           0.00   \n",
       "6          5.69           0.00           0.00           0.00           0.00   \n",
       "7          0.00           0.00           0.00           0.00           0.00   \n",
       "8         21.74          28.26          11.31          47.81          47.81   \n",
       "9         85.54           0.00           7.23           0.00           0.00   \n",
       "\n",
       "   roam_og_mou_7  roam_og_mou_8  loc_og_t2t_mou_6  loc_og_t2t_mou_7  \\\n",
       "0           0.00           0.00              2.23              0.00   \n",
       "1           0.00           0.00              0.00              0.00   \n",
       "2           0.00           0.00              0.53             12.98   \n",
       "3           0.00           1.63              6.99              3.94   \n",
       "4           0.00           0.00             10.16              4.83   \n",
       "5           0.00           0.00              1.39              1.78   \n",
       "6           0.00           0.00             38.81             24.51   \n",
       "7           0.00           0.00              0.00              0.00   \n",
       "8          50.88          21.74              0.00              0.00   \n",
       "9          32.28           0.00             27.49             94.74   \n",
       "\n",
       "   loc_og_t2t_mou_8  loc_og_t2m_mou_6  loc_og_t2m_mou_7  loc_og_t2m_mou_8  \\\n",
       "0              0.28              5.29             16.04              2.33   \n",
       "1              0.00              0.00              0.00              0.00   \n",
       "2              0.00             24.11              0.00              0.00   \n",
       "3              0.00             37.91             44.89             23.63   \n",
       "4              6.13             36.74             19.88              4.61   \n",
       "5              0.45              3.56             20.63              3.44   \n",
       "6             19.61             31.63             54.18              5.58   \n",
       "7              0.00              0.00              0.00              0.00   \n",
       "8              0.00              0.00              0.00              0.00   \n",
       "9             53.38            103.44            104.88             77.99   \n",
       "\n",
       "   loc_og_t2f_mou_6  loc_og_t2f_mou_7  loc_og_t2f_mou_8  loc_og_t2c_mou_6  \\\n",
       "0              0.00              0.00              0.00              0.00   \n",
       "1              0.00              0.00              0.00              0.00   \n",
       "2              0.00              0.00              0.00              2.14   \n",
       "3              0.00              0.00              0.00              0.00   \n",
       "4             11.99              1.23              5.01              0.00   \n",
       "5              0.00              0.00              0.00             11.50   \n",
       "6              0.00              0.00              0.00              0.00   \n",
       "7              0.00              0.00              0.00              0.00   \n",
       "8              0.00              0.00              0.00              0.00   \n",
       "9              2.41              3.43              0.00              0.00   \n",
       "\n",
       "   loc_og_t2c_mou_7  loc_og_t2c_mou_8  loc_og_mou_6  loc_og_mou_7  \\\n",
       "0              0.00              0.00          7.53         16.04   \n",
       "1             22.01             29.79          0.00          0.00   \n",
       "2              0.00              0.00         24.64         12.98   \n",
       "3              0.00              8.03         44.91         48.84   \n",
       "4              9.85              0.00         58.91         25.94   \n",
       "5             15.28              0.00          4.96         22.41   \n",
       "6              0.00              0.00         70.44         78.69   \n",
       "7              0.00              0.00          0.00          0.00   \n",
       "8              0.00              0.00          0.00          0.00   \n",
       "9              0.00              0.00        133.36        203.06   \n",
       "\n",
       "   loc_og_mou_8  std_og_t2t_mou_6  std_og_t2t_mou_7  std_og_t2t_mou_8  \\\n",
       "0          2.61             46.34            124.38              1.01   \n",
       "1          0.00              0.00              0.00              0.00   \n",
       "2          0.00              0.00              2.94              0.00   \n",
       "3         23.63              0.26             12.06              0.00   \n",
       "4         15.76              0.00              0.00              0.00   \n",
       "5          3.89              0.00              0.00              0.00   \n",
       "6         25.19              0.00             16.05              0.00   \n",
       "7          0.00              0.00              0.00              0.00   \n",
       "8          0.00              0.00              0.00              0.00   \n",
       "9        131.38              0.00              0.00              0.00   \n",
       "\n",
       "   std_og_t2m_mou_6  std_og_t2m_mou_7  std_og_t2m_mou_8  std_og_t2f_mou_6  \\\n",
       "0             18.75             80.61              0.00              0.00   \n",
       "1              0.00              0.00              0.00              0.00   \n",
       "2             28.94             82.05              0.00              0.00   \n",
       "3             15.33             25.93              4.60              0.56   \n",
       "4              4.35              0.00              0.00              0.00   \n",
       "5              0.00              0.65              0.00              2.08   \n",
       "6              0.00              0.00              0.11              0.00   \n",
       "7              0.00              0.00              0.00              0.00   \n",
       "8              0.00              0.00              0.00              0.00   \n",
       "9              4.64              0.00              7.55              0.00   \n",
       "\n",
       "   std_og_t2f_mou_7  std_og_t2f_mou_8  std_og_t2c_mou_6  std_og_t2c_mou_7  \\\n",
       "0               0.0               0.0               0.0               0.0   \n",
       "1               0.0               0.0               0.0               0.0   \n",
       "2               0.0               0.0               0.0               0.0   \n",
       "3               0.0               0.0               0.0               0.0   \n",
       "4               0.0               0.0               0.0               0.0   \n",
       "5               0.0               0.0               0.0               0.0   \n",
       "6               0.0               0.0               0.0               0.0   \n",
       "7               0.0               0.0               0.0               0.0   \n",
       "8               0.0               0.0               0.0               0.0   \n",
       "9               0.0               0.0               0.0               0.0   \n",
       "\n",
       "   std_og_t2c_mou_8  std_og_mou_6  std_og_mou_7  std_og_mou_8  isd_og_mou_6  \\\n",
       "0               0.0         65.09        204.99          1.01           0.0   \n",
       "1               0.0          0.00          0.00          0.00           0.0   \n",
       "2               0.0         28.94         84.99          0.00           0.0   \n",
       "3               0.0         16.16         37.99          4.60           0.0   \n",
       "4               0.0          4.35          0.00          0.00           0.0   \n",
       "5               0.0          2.08          0.65          0.00           0.0   \n",
       "6               0.0          0.00         16.05          0.11           0.0   \n",
       "7               0.0          0.00          0.00          0.00           0.0   \n",
       "8               0.0          0.00          0.00          0.00           0.0   \n",
       "9               0.0          4.64          0.00          7.55           0.0   \n",
       "\n",
       "   isd_og_mou_7  isd_og_mou_8  spl_og_mou_6  spl_og_mou_7  spl_og_mou_8  \\\n",
       "0           0.0           0.0          8.20          0.63          0.00   \n",
       "1           0.0           0.0          0.00         30.73         31.66   \n",
       "2           0.0           0.0          2.89          1.38          0.00   \n",
       "3           0.0           0.0         14.95          9.13         25.61   \n",
       "4           0.0           0.0          0.00         17.00          0.00   \n",
       "5           0.0           0.0         11.50         18.69          0.00   \n",
       "6           0.0           0.0          0.00          0.00          0.00   \n",
       "7           0.0           0.0          0.00          0.00          0.00   \n",
       "8           0.0           0.0          0.00          0.00          0.00   \n",
       "9           0.0           0.0          0.00          0.48          0.00   \n",
       "\n",
       "   og_others_6  og_others_7  og_others_8  total_og_mou_6  total_og_mou_7  \\\n",
       "0         0.38          0.0          0.0           81.21          221.68   \n",
       "1         0.00          0.0          0.0            0.00           30.73   \n",
       "2         0.00          0.0          0.0           56.49           99.36   \n",
       "3         0.00          0.0          0.0           76.03           95.98   \n",
       "4         0.00          0.0          0.0           63.26           42.94   \n",
       "5         0.00          0.0          0.0           18.54           41.76   \n",
       "6         0.00          0.0          0.0           70.44           94.74   \n",
       "7         0.00          0.0          0.0            0.00            0.00   \n",
       "8         0.00          0.0          0.0            0.00            0.00   \n",
       "9         0.00          0.0          0.0          138.01          203.54   \n",
       "\n",
       "   total_og_mou_8  loc_ic_t2t_mou_6  loc_ic_t2t_mou_7  loc_ic_t2t_mou_8  \\\n",
       "0            3.63              2.43              3.68              7.79   \n",
       "1           31.66              1.68             19.09             10.53   \n",
       "2            0.00              4.51              6.16              6.49   \n",
       "3           53.84             24.98              4.84             23.88   \n",
       "4           15.76              5.44              1.39              2.66   \n",
       "5            3.89             17.51             37.94             34.18   \n",
       "6           25.31             94.09             54.59             86.83   \n",
       "7            0.00             11.36              6.04             28.44   \n",
       "8            0.00              0.00              0.00              0.00   \n",
       "9          138.93             60.88            259.66             60.48   \n",
       "\n",
       "   loc_ic_t2m_mou_6  loc_ic_t2m_mou_7  loc_ic_t2m_mou_8  loc_ic_t2f_mou_6  \\\n",
       "0              0.83             21.08             16.91              0.00   \n",
       "1              1.41             18.68             11.09              0.35   \n",
       "2             89.86             25.18             23.51              0.00   \n",
       "3             53.99             44.23             57.14              7.23   \n",
       "4             10.58              4.33             19.49              5.51   \n",
       "5            221.79            296.31            125.66             27.96   \n",
       "6              7.38              0.81             31.53              0.16   \n",
       "7             13.41              9.16              8.73              0.00   \n",
       "8              0.00              0.00              0.00              0.00   \n",
       "9            250.21            243.13            191.64             13.94   \n",
       "\n",
       "   loc_ic_t2f_mou_7  loc_ic_t2f_mou_8  loc_ic_mou_6  loc_ic_mou_7  \\\n",
       "0              0.00              0.00          3.26         24.76   \n",
       "1              1.66              3.40          3.44         39.44   \n",
       "2              0.00              0.00         94.38         31.34   \n",
       "3              0.81              0.00         86.21         49.89   \n",
       "4              3.63              6.14         21.54          9.36   \n",
       "5             38.13             41.08        267.28        372.39   \n",
       "6              3.36              3.46        101.64         58.78   \n",
       "7              0.00              4.14         24.78         15.21   \n",
       "8              0.00              0.00          0.00          0.00   \n",
       "9             24.46             15.11        325.04        527.26   \n",
       "\n",
       "   loc_ic_mou_8  std_ic_t2t_mou_6  std_ic_t2t_mou_7  std_ic_t2t_mou_8  \\\n",
       "0         24.71              0.00              7.61              0.21   \n",
       "1         25.03              0.00              0.00              0.00   \n",
       "2         30.01             11.69              0.00              0.00   \n",
       "3         81.03              0.00              0.00              0.00   \n",
       "4         28.31              0.00              0.00              0.00   \n",
       "5        200.93              0.00              0.00              0.00   \n",
       "6        121.83              3.58              4.34              2.95   \n",
       "7         41.33              0.00              0.00              0.00   \n",
       "8          0.00              0.00              0.00              0.00   \n",
       "9        267.24              0.00              0.00              0.00   \n",
       "\n",
       "   std_ic_t2m_mou_6  std_ic_t2m_mou_7  std_ic_t2m_mou_8  std_ic_t2f_mou_6  \\\n",
       "0              7.46             19.96             14.96              0.00   \n",
       "1              0.00              0.00              0.00              0.00   \n",
       "2             18.21              2.48              6.38              0.00   \n",
       "3              8.89              0.28              2.81              0.00   \n",
       "4              0.00              0.00              0.00              0.00   \n",
       "5              3.83              4.46              0.00              0.00   \n",
       "6              0.91              1.16              9.78              0.00   \n",
       "7              0.00              0.00              0.00              0.33   \n",
       "8              0.00              0.00              0.00              0.00   \n",
       "9              0.00              6.64             13.64              3.51   \n",
       "\n",
       "   std_ic_t2f_mou_7  std_ic_t2f_mou_8  std_ic_t2o_mou_6  std_ic_t2o_mou_7  \\\n",
       "0              0.00              0.00               0.0               0.0   \n",
       "1              0.00              0.00               0.0               0.0   \n",
       "2              0.00              0.00               0.0               0.0   \n",
       "3              0.00              0.00               0.0               0.0   \n",
       "4              0.00              0.00               0.0               0.0   \n",
       "5              6.44              8.13               0.0               0.0   \n",
       "6              0.18              0.00               0.0               0.0   \n",
       "7              0.68              2.49               0.0               0.0   \n",
       "8              0.00              0.00               0.0               0.0   \n",
       "9              0.00              0.00               0.0               0.0   \n",
       "\n",
       "   std_ic_t2o_mou_8  std_ic_mou_6  std_ic_mou_7  std_ic_mou_8  total_ic_mou_6  \\\n",
       "0               0.0          7.46         27.58         15.18           11.84   \n",
       "1               0.0          0.00          0.00          0.00            3.44   \n",
       "2               0.0         29.91          2.48          6.38          124.29   \n",
       "3               0.0          8.89          0.28          2.81           95.11   \n",
       "4               0.0          0.00          0.00          0.00           21.54   \n",
       "5               0.0          3.83         10.91          8.13          271.29   \n",
       "6               0.0          4.49          5.69         12.73          106.14   \n",
       "7               0.0          0.33          0.68          2.49           25.11   \n",
       "8               0.0          0.00          0.00          0.00            0.00   \n",
       "9               0.0          3.51          6.64         13.64          328.56   \n",
       "\n",
       "   total_ic_mou_7  total_ic_mou_8  spl_ic_mou_6  spl_ic_mou_7  spl_ic_mou_8  \\\n",
       "0           53.04           40.56           0.0           0.0          0.66   \n",
       "1           39.44           25.04           0.0           0.0          0.01   \n",
       "2           33.83           36.64           0.0           0.0          0.00   \n",
       "3           50.18           83.84           0.0           0.0          0.00   \n",
       "4            9.36           28.31           0.0           0.0          0.00   \n",
       "5          383.51          209.43           0.0           0.0          0.11   \n",
       "6           64.48          134.56           0.0           0.0          0.00   \n",
       "7           15.89           43.83           0.0           0.0          0.00   \n",
       "8            0.00            0.00           0.0           0.0          0.00   \n",
       "9          533.91          280.89           0.0           0.0          0.00   \n",
       "\n",
       "   isd_ic_mou_6  isd_ic_mou_7  isd_ic_mou_8  ic_others_6  ic_others_7  \\\n",
       "0           0.0           0.0           0.0         1.11         0.69   \n",
       "1           0.0           0.0           0.0         0.00         0.00   \n",
       "2           0.0           0.0           0.0         0.00         0.00   \n",
       "3           0.0           0.0           0.0         0.00         0.00   \n",
       "4           0.0           0.0           0.0         0.00         0.00   \n",
       "5           0.0           0.0           0.0         0.18         0.19   \n",
       "6           0.0           0.0           0.0         0.00         0.00   \n",
       "7           0.0           0.0           0.0         0.00         0.00   \n",
       "8           0.0           0.0           0.0         0.00         0.00   \n",
       "9           0.0           0.0           0.0         0.00         0.00   \n",
       "\n",
       "   ic_others_8  total_rech_num_6  total_rech_num_7  total_rech_num_8  \\\n",
       "0         0.00                 3                 2                 2   \n",
       "1         0.00                 3                 4                 5   \n",
       "2         0.25                 2                 4                 2   \n",
       "3         0.00                 2                 4                 3   \n",
       "4         0.00                13                10                 8   \n",
       "5         0.24                 9                 8                10   \n",
       "6         0.00                 3                 2                 3   \n",
       "7         0.00                 2                 3                 2   \n",
       "8         0.00                 2                 3                 1   \n",
       "9         0.00                 4                 3                 2   \n",
       "\n",
       "   total_rech_amt_6  total_rech_amt_7  total_rech_amt_8  max_rech_amt_6  \\\n",
       "0                77                65                10              65   \n",
       "1                 0               145                50               0   \n",
       "2                70               120                 0              70   \n",
       "3               160               240               130             110   \n",
       "4               290               136               122              50   \n",
       "5               100                90               100              30   \n",
       "6               130                 0               130             110   \n",
       "7               198               198               198             198   \n",
       "8               200                 0               150             200   \n",
       "9               128               160               279             128   \n",
       "\n",
       "   max_rech_amt_7  max_rech_amt_8  last_day_rch_amt_6  last_day_rch_amt_7  \\\n",
       "0              65              10                  65                  65   \n",
       "1             145              50                   0                   0   \n",
       "2              70               0                  70                  50   \n",
       "3             110              50                 110                 110   \n",
       "4              41              30                  25                  10   \n",
       "5              30              30                  30                  20   \n",
       "6               0             130                 110                   0   \n",
       "7             198             198                 198                 198   \n",
       "8               0             150                 200                   0   \n",
       "9             110             149                 128                   0   \n",
       "\n",
       "   last_day_rch_amt_8  total_rech_data_6  total_rech_data_7  \\\n",
       "0                   0                0.0                0.0   \n",
       "1                   0                0.0                1.0   \n",
       "2                   0                0.0                0.0   \n",
       "3                  50                0.0                0.0   \n",
       "4                  30                7.0                7.0   \n",
       "5                  30                0.0                0.0   \n",
       "6                 130                0.0                0.0   \n",
       "7                   0                1.0                1.0   \n",
       "8                 150                0.0                0.0   \n",
       "9                 149                0.0                0.0   \n",
       "\n",
       "   total_rech_data_8  max_rech_data_6  max_rech_data_7  max_rech_data_8  \\\n",
       "0                0.0              0.0              0.0              0.0   \n",
       "1                0.0              0.0            145.0              0.0   \n",
       "2                0.0              0.0              0.0              0.0   \n",
       "3                0.0              0.0              0.0              0.0   \n",
       "4                6.0             25.0             41.0             25.0   \n",
       "5                0.0              0.0              0.0              0.0   \n",
       "6                0.0              0.0              0.0              0.0   \n",
       "7                1.0            198.0            198.0            198.0   \n",
       "8                0.0              0.0              0.0              0.0   \n",
       "9                0.0              0.0              0.0              0.0   \n",
       "\n",
       "   count_rech_2g_6  count_rech_2g_7  count_rech_2g_8  count_rech_3g_6  \\\n",
       "0              0.0              0.0              0.0              0.0   \n",
       "1              0.0              0.0              0.0              0.0   \n",
       "2              0.0              0.0              0.0              0.0   \n",
       "3              0.0              0.0              0.0              0.0   \n",
       "4              7.0              6.0              6.0              0.0   \n",
       "5              0.0              0.0              0.0              0.0   \n",
       "6              0.0              0.0              0.0              0.0   \n",
       "7              1.0              1.0              1.0              0.0   \n",
       "8              0.0              0.0              0.0              0.0   \n",
       "9              0.0              0.0              0.0              0.0   \n",
       "\n",
       "   count_rech_3g_7  count_rech_3g_8  av_rech_amt_data_6  av_rech_amt_data_7  \\\n",
       "0              0.0              0.0                 0.0                 0.0   \n",
       "1              1.0              0.0                 0.0               145.0   \n",
       "2              0.0              0.0                 0.0                 0.0   \n",
       "3              0.0              0.0                 0.0                 0.0   \n",
       "4              1.0              0.0               175.0               191.0   \n",
       "5              0.0              0.0                 0.0                 0.0   \n",
       "6              0.0              0.0                 0.0                 0.0   \n",
       "7              0.0              0.0               198.0               198.0   \n",
       "8              0.0              0.0                 0.0                 0.0   \n",
       "9              0.0              0.0                 0.0                 0.0   \n",
       "\n",
       "   av_rech_amt_data_8  vol_2g_mb_6  vol_2g_mb_7  vol_2g_mb_8  vol_3g_mb_6  \\\n",
       "0                 0.0         0.00         0.00         0.00          0.0   \n",
       "1                 0.0         0.00       352.91         0.00          0.0   \n",
       "2                 0.0         0.00         0.00         0.00          0.0   \n",
       "3                 0.0         0.00         0.00         0.00          0.0   \n",
       "4               142.0       390.80       308.89       213.47          0.0   \n",
       "5                 0.0         0.00         0.00         0.00          0.0   \n",
       "6                 0.0         0.00         0.00         0.00          0.0   \n",
       "7               198.0       167.53         6.29         5.40        177.9   \n",
       "8                 0.0         0.00         0.00         0.00          0.0   \n",
       "9                 0.0         0.00         0.00         0.00          0.0   \n",
       "\n",
       "   vol_3g_mb_7  vol_3g_mb_8  arpu_3g_6  arpu_3g_7  arpu_3g_8  arpu_2g_6  \\\n",
       "0         0.00          0.0        0.0       0.00        0.0        0.0   \n",
       "1         3.96          0.0        0.0     122.07        0.0        0.0   \n",
       "2         0.00          0.0        0.0       0.00        0.0        0.0   \n",
       "3         0.00          0.0        0.0       0.00        0.0        0.0   \n",
       "4         0.00          0.0        0.0      35.00        0.0        0.0   \n",
       "5         0.00          0.0        0.0       0.00        0.0        0.0   \n",
       "6         0.00          0.0        0.0       0.00        0.0        0.0   \n",
       "7       151.58        271.4        0.0       0.00        0.0        0.0   \n",
       "8         0.00          0.0        0.0       0.00        0.0        0.0   \n",
       "9         0.00          0.0        0.0       0.00        0.0        0.0   \n",
       "\n",
       "   arpu_2g_7  arpu_2g_8  monthly_2g_6  monthly_2g_7  monthly_2g_8  \\\n",
       "0       0.00        0.0             0             0             0   \n",
       "1     122.08        0.0             0             0             0   \n",
       "2       0.00        0.0             0             0             0   \n",
       "3       0.00        0.0             0             0             0   \n",
       "4      35.12        0.0             0             0             0   \n",
       "5       0.00        0.0             0             0             0   \n",
       "6       0.00        0.0             0             0             0   \n",
       "7       0.00        0.0             1             1             1   \n",
       "8       0.00        0.0             0             0             0   \n",
       "9       0.00        0.0             0             0             0   \n",
       "\n",
       "   sachet_2g_6  sachet_2g_7  sachet_2g_8  monthly_3g_6  monthly_3g_7  \\\n",
       "0            0            0            0             0             0   \n",
       "1            0            0            0             0             1   \n",
       "2            0            0            0             0             0   \n",
       "3            0            0            0             0             0   \n",
       "4            7            6            6             0             0   \n",
       "5            0            0            0             0             0   \n",
       "6            0            0            0             0             0   \n",
       "7            0            0            0             0             0   \n",
       "8            0            0            0             0             0   \n",
       "9            0            0            0             0             0   \n",
       "\n",
       "   monthly_3g_8  sachet_3g_6  sachet_3g_7  sachet_3g_8   aon  aug_vbc_3g  \\\n",
       "0             0            0            0            0  1958        0.00   \n",
       "1             0            0            0            0   710        0.00   \n",
       "2             0            0            0            0   882        0.00   \n",
       "3             0            0            0            0   982        0.00   \n",
       "4             0            0            1            0   647        0.00   \n",
       "5             0            0            0            0   698        0.00   \n",
       "6             0            0            0            0  1083        0.00   \n",
       "7             0            0            0            0   584       82.26   \n",
       "8             0            0            0            0  2455        0.00   \n",
       "9             0            0            0            0  2530        0.00   \n",
       "\n",
       "   jul_vbc_3g  jun_vbc_3g  churn_probability  total_data_rech_6  \\\n",
       "0        0.00        0.00                0.0                0.0   \n",
       "1        0.00        0.00                0.0                0.0   \n",
       "2        0.00        0.00                0.0                0.0   \n",
       "3        0.00        0.00                0.0                0.0   \n",
       "4        0.00        0.00                0.0             1225.0   \n",
       "5        0.00        0.00                0.0                0.0   \n",
       "6        0.00        0.00                0.0                0.0   \n",
       "7       73.56      177.14                0.0              198.0   \n",
       "8        0.00        0.00                1.0                0.0   \n",
       "9        0.00        0.00                0.0                0.0   \n",
       "\n",
       "   total_data_rech_7  total_data_rech_8  total_rech_6  total_rech_7  \\\n",
       "0                0.0                0.0          77.0          65.0   \n",
       "1              145.0                0.0           0.0         290.0   \n",
       "2                0.0                0.0          70.0         120.0   \n",
       "3                0.0                0.0         160.0         240.0   \n",
       "4             1337.0              852.0        1515.0        1473.0   \n",
       "5                0.0                0.0         100.0          90.0   \n",
       "6                0.0                0.0         130.0           0.0   \n",
       "7              198.0              198.0         396.0         396.0   \n",
       "8                0.0                0.0         200.0           0.0   \n",
       "9                0.0                0.0         128.0         160.0   \n",
       "\n",
       "   total_rech_8  \n",
       "0          10.0  \n",
       "1          50.0  \n",
       "2           0.0  \n",
       "3         130.0  \n",
       "4         974.0  \n",
       "5         100.0  \n",
       "6         130.0  \n",
       "7         396.0  \n",
       "8         150.0  \n",
       "9         279.0  "
      ]
     },
     "execution_count": 343,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>loc_og_t2o_mou</th>\n",
       "      <th>std_og_t2o_mou</th>\n",
       "      <th>loc_ic_t2o_mou</th>\n",
       "      <th>arpu_6</th>\n",
       "      <th>arpu_7</th>\n",
       "      <th>arpu_8</th>\n",
       "      <th>onnet_mou_6</th>\n",
       "      <th>onnet_mou_7</th>\n",
       "      <th>onnet_mou_8</th>\n",
       "      <th>offnet_mou_6</th>\n",
       "      <th>offnet_mou_7</th>\n",
       "      <th>offnet_mou_8</th>\n",
       "      <th>roam_ic_mou_6</th>\n",
       "      <th>roam_ic_mou_7</th>\n",
       "      <th>roam_ic_mou_8</th>\n",
       "      <th>roam_og_mou_6</th>\n",
       "      <th>roam_og_mou_7</th>\n",
       "      <th>roam_og_mou_8</th>\n",
       "      <th>loc_og_t2t_mou_6</th>\n",
       "      <th>loc_og_t2t_mou_7</th>\n",
       "      <th>loc_og_t2t_mou_8</th>\n",
       "      <th>loc_og_t2m_mou_6</th>\n",
       "      <th>loc_og_t2m_mou_7</th>\n",
       "      <th>loc_og_t2m_mou_8</th>\n",
       "      <th>loc_og_t2f_mou_6</th>\n",
       "      <th>loc_og_t2f_mou_7</th>\n",
       "      <th>loc_og_t2f_mou_8</th>\n",
       "      <th>loc_og_t2c_mou_6</th>\n",
       "      <th>loc_og_t2c_mou_7</th>\n",
       "      <th>loc_og_t2c_mou_8</th>\n",
       "      <th>loc_og_mou_6</th>\n",
       "      <th>loc_og_mou_7</th>\n",
       "      <th>loc_og_mou_8</th>\n",
       "      <th>std_og_t2t_mou_6</th>\n",
       "      <th>std_og_t2t_mou_7</th>\n",
       "      <th>std_og_t2t_mou_8</th>\n",
       "      <th>std_og_t2m_mou_6</th>\n",
       "      <th>std_og_t2m_mou_7</th>\n",
       "      <th>std_og_t2m_mou_8</th>\n",
       "      <th>std_og_t2f_mou_6</th>\n",
       "      <th>std_og_t2f_mou_7</th>\n",
       "      <th>std_og_t2f_mou_8</th>\n",
       "      <th>std_og_t2c_mou_6</th>\n",
       "      <th>std_og_t2c_mou_7</th>\n",
       "      <th>std_og_t2c_mou_8</th>\n",
       "      <th>std_og_mou_6</th>\n",
       "      <th>std_og_mou_7</th>\n",
       "      <th>std_og_mou_8</th>\n",
       "      <th>isd_og_mou_6</th>\n",
       "      <th>isd_og_mou_7</th>\n",
       "      <th>isd_og_mou_8</th>\n",
       "      <th>spl_og_mou_6</th>\n",
       "      <th>spl_og_mou_7</th>\n",
       "      <th>spl_og_mou_8</th>\n",
       "      <th>og_others_6</th>\n",
       "      <th>og_others_7</th>\n",
       "      <th>og_others_8</th>\n",
       "      <th>total_og_mou_6</th>\n",
       "      <th>total_og_mou_7</th>\n",
       "      <th>total_og_mou_8</th>\n",
       "      <th>loc_ic_t2t_mou_6</th>\n",
       "      <th>loc_ic_t2t_mou_7</th>\n",
       "      <th>loc_ic_t2t_mou_8</th>\n",
       "      <th>loc_ic_t2m_mou_6</th>\n",
       "      <th>loc_ic_t2m_mou_7</th>\n",
       "      <th>loc_ic_t2m_mou_8</th>\n",
       "      <th>loc_ic_t2f_mou_6</th>\n",
       "      <th>loc_ic_t2f_mou_7</th>\n",
       "      <th>loc_ic_t2f_mou_8</th>\n",
       "      <th>loc_ic_mou_6</th>\n",
       "      <th>loc_ic_mou_7</th>\n",
       "      <th>loc_ic_mou_8</th>\n",
       "      <th>std_ic_t2t_mou_6</th>\n",
       "      <th>std_ic_t2t_mou_7</th>\n",
       "      <th>std_ic_t2t_mou_8</th>\n",
       "      <th>std_ic_t2m_mou_6</th>\n",
       "      <th>std_ic_t2m_mou_7</th>\n",
       "      <th>std_ic_t2m_mou_8</th>\n",
       "      <th>std_ic_t2f_mou_6</th>\n",
       "      <th>std_ic_t2f_mou_7</th>\n",
       "      <th>std_ic_t2f_mou_8</th>\n",
       "      <th>std_ic_t2o_mou_6</th>\n",
       "      <th>std_ic_t2o_mou_7</th>\n",
       "      <th>std_ic_t2o_mou_8</th>\n",
       "      <th>std_ic_mou_6</th>\n",
       "      <th>std_ic_mou_7</th>\n",
       "      <th>std_ic_mou_8</th>\n",
       "      <th>total_ic_mou_6</th>\n",
       "      <th>total_ic_mou_7</th>\n",
       "      <th>total_ic_mou_8</th>\n",
       "      <th>spl_ic_mou_6</th>\n",
       "      <th>spl_ic_mou_7</th>\n",
       "      <th>spl_ic_mou_8</th>\n",
       "      <th>isd_ic_mou_6</th>\n",
       "      <th>isd_ic_mou_7</th>\n",
       "      <th>isd_ic_mou_8</th>\n",
       "      <th>ic_others_6</th>\n",
       "      <th>ic_others_7</th>\n",
       "      <th>ic_others_8</th>\n",
       "      <th>total_rech_num_6</th>\n",
       "      <th>total_rech_num_7</th>\n",
       "      <th>total_rech_num_8</th>\n",
       "      <th>total_rech_amt_6</th>\n",
       "      <th>total_rech_amt_7</th>\n",
       "      <th>total_rech_amt_8</th>\n",
       "      <th>max_rech_amt_6</th>\n",
       "      <th>max_rech_amt_7</th>\n",
       "      <th>max_rech_amt_8</th>\n",
       "      <th>last_day_rch_amt_6</th>\n",
       "      <th>last_day_rch_amt_7</th>\n",
       "      <th>last_day_rch_amt_8</th>\n",
       "      <th>total_rech_data_6</th>\n",
       "      <th>total_rech_data_7</th>\n",
       "      <th>total_rech_data_8</th>\n",
       "      <th>max_rech_data_6</th>\n",
       "      <th>max_rech_data_7</th>\n",
       "      <th>max_rech_data_8</th>\n",
       "      <th>count_rech_2g_6</th>\n",
       "      <th>count_rech_2g_7</th>\n",
       "      <th>count_rech_2g_8</th>\n",
       "      <th>count_rech_3g_6</th>\n",
       "      <th>count_rech_3g_7</th>\n",
       "      <th>count_rech_3g_8</th>\n",
       "      <th>av_rech_amt_data_6</th>\n",
       "      <th>av_rech_amt_data_7</th>\n",
       "      <th>av_rech_amt_data_8</th>\n",
       "      <th>vol_2g_mb_6</th>\n",
       "      <th>vol_2g_mb_7</th>\n",
       "      <th>vol_2g_mb_8</th>\n",
       "      <th>vol_3g_mb_6</th>\n",
       "      <th>vol_3g_mb_7</th>\n",
       "      <th>vol_3g_mb_8</th>\n",
       "      <th>arpu_3g_6</th>\n",
       "      <th>arpu_3g_7</th>\n",
       "      <th>arpu_3g_8</th>\n",
       "      <th>arpu_2g_6</th>\n",
       "      <th>arpu_2g_7</th>\n",
       "      <th>arpu_2g_8</th>\n",
       "      <th>monthly_2g_6</th>\n",
       "      <th>monthly_2g_7</th>\n",
       "      <th>monthly_2g_8</th>\n",
       "      <th>sachet_2g_6</th>\n",
       "      <th>sachet_2g_7</th>\n",
       "      <th>sachet_2g_8</th>\n",
       "      <th>monthly_3g_6</th>\n",
       "      <th>monthly_3g_7</th>\n",
       "      <th>monthly_3g_8</th>\n",
       "      <th>sachet_3g_6</th>\n",
       "      <th>sachet_3g_7</th>\n",
       "      <th>sachet_3g_8</th>\n",
       "      <th>aon</th>\n",
       "      <th>aug_vbc_3g</th>\n",
       "      <th>jul_vbc_3g</th>\n",
       "      <th>jun_vbc_3g</th>\n",
       "      <th>churn_probability</th>\n",
       "      <th>total_data_rech_6</th>\n",
       "      <th>total_data_rech_7</th>\n",
       "      <th>total_data_rech_8</th>\n",
       "      <th>total_rech_6</th>\n",
       "      <th>total_rech_7</th>\n",
       "      <th>total_rech_8</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>91.882</td>\n",
       "      <td>65.330</td>\n",
       "      <td>64.445</td>\n",
       "      <td>31.78</td>\n",
       "      <td>20.23</td>\n",
       "      <td>23.11</td>\n",
       "      <td>60.16</td>\n",
       "      <td>32.16</td>\n",
       "      <td>34.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>24.88</td>\n",
       "      <td>20.23</td>\n",
       "      <td>21.06</td>\n",
       "      <td>18.13</td>\n",
       "      <td>10.89</td>\n",
       "      <td>8.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.58</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>43.01</td>\n",
       "      <td>44.71</td>\n",
       "      <td>29.43</td>\n",
       "      <td>6.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.05</td>\n",
       "      <td>42.03</td>\n",
       "      <td>7.68</td>\n",
       "      <td>26.43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.93</td>\n",
       "      <td>7.68</td>\n",
       "      <td>28.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>91.94</td>\n",
       "      <td>52.39</td>\n",
       "      <td>57.94</td>\n",
       "      <td>30.33</td>\n",
       "      <td>37.56</td>\n",
       "      <td>21.98</td>\n",
       "      <td>10.21</td>\n",
       "      <td>4.59</td>\n",
       "      <td>9.53</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>40.81</td>\n",
       "      <td>42.16</td>\n",
       "      <td>31.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.36</td>\n",
       "      <td>1.04</td>\n",
       "      <td>4.34</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.36</td>\n",
       "      <td>1.04</td>\n",
       "      <td>4.34</td>\n",
       "      <td>41.73</td>\n",
       "      <td>43.56</td>\n",
       "      <td>36.26</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>103</td>\n",
       "      <td>90</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1692</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>414.168</td>\n",
       "      <td>515.568</td>\n",
       "      <td>360.868</td>\n",
       "      <td>75.51</td>\n",
       "      <td>41.21</td>\n",
       "      <td>19.84</td>\n",
       "      <td>474.34</td>\n",
       "      <td>621.84</td>\n",
       "      <td>394.94</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>75.51</td>\n",
       "      <td>41.21</td>\n",
       "      <td>19.84</td>\n",
       "      <td>473.61</td>\n",
       "      <td>598.08</td>\n",
       "      <td>377.26</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>549.86</td>\n",
       "      <td>639.29</td>\n",
       "      <td>397.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>23.76</td>\n",
       "      <td>17.68</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>23.76</td>\n",
       "      <td>17.68</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>549.86</td>\n",
       "      <td>663.06</td>\n",
       "      <td>415.59</td>\n",
       "      <td>19.99</td>\n",
       "      <td>26.95</td>\n",
       "      <td>2.61</td>\n",
       "      <td>160.19</td>\n",
       "      <td>122.29</td>\n",
       "      <td>184.81</td>\n",
       "      <td>1.49</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>181.69</td>\n",
       "      <td>149.24</td>\n",
       "      <td>187.43</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>296.33</td>\n",
       "      <td>339.64</td>\n",
       "      <td>281.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>114.63</td>\n",
       "      <td>177.88</td>\n",
       "      <td>94.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>500</td>\n",
       "      <td>500</td>\n",
       "      <td>500</td>\n",
       "      <td>250</td>\n",
       "      <td>250</td>\n",
       "      <td>250</td>\n",
       "      <td>250</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2533</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>329.844</td>\n",
       "      <td>434.884</td>\n",
       "      <td>746.239</td>\n",
       "      <td>7.54</td>\n",
       "      <td>7.86</td>\n",
       "      <td>8.40</td>\n",
       "      <td>16.98</td>\n",
       "      <td>45.81</td>\n",
       "      <td>45.04</td>\n",
       "      <td>22.81</td>\n",
       "      <td>103.38</td>\n",
       "      <td>26.08</td>\n",
       "      <td>24.53</td>\n",
       "      <td>53.68</td>\n",
       "      <td>54.44</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>500</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000</td>\n",
       "      <td>300</td>\n",
       "      <td>500</td>\n",
       "      <td>500</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>277</td>\n",
       "      <td>525.61</td>\n",
       "      <td>758.41</td>\n",
       "      <td>241.84</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.550</td>\n",
       "      <td>171.390</td>\n",
       "      <td>24.400</td>\n",
       "      <td>5.31</td>\n",
       "      <td>2.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>40.04</td>\n",
       "      <td>205.01</td>\n",
       "      <td>24.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5.31</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.94</td>\n",
       "      <td>98.61</td>\n",
       "      <td>20.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.26</td>\n",
       "      <td>98.61</td>\n",
       "      <td>22.86</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>37.09</td>\n",
       "      <td>94.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.09</td>\n",
       "      <td>96.53</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.03</td>\n",
       "      <td>1.15</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.36</td>\n",
       "      <td>207.18</td>\n",
       "      <td>24.01</td>\n",
       "      <td>58.11</td>\n",
       "      <td>54.64</td>\n",
       "      <td>23.04</td>\n",
       "      <td>487.94</td>\n",
       "      <td>449.83</td>\n",
       "      <td>506.94</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.38</td>\n",
       "      <td>1.64</td>\n",
       "      <td>546.06</td>\n",
       "      <td>504.86</td>\n",
       "      <td>531.64</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.26</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.63</td>\n",
       "      <td>11.88</td>\n",
       "      <td>8.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.63</td>\n",
       "      <td>16.14</td>\n",
       "      <td>8.83</td>\n",
       "      <td>555.69</td>\n",
       "      <td>522.44</td>\n",
       "      <td>549.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.43</td>\n",
       "      <td>8.65</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>110</td>\n",
       "      <td>260</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>110</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1244</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>306.854</td>\n",
       "      <td>406.289</td>\n",
       "      <td>413.329</td>\n",
       "      <td>450.93</td>\n",
       "      <td>609.03</td>\n",
       "      <td>700.68</td>\n",
       "      <td>60.94</td>\n",
       "      <td>23.84</td>\n",
       "      <td>74.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.78</td>\n",
       "      <td>14.56</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.66</td>\n",
       "      <td>10.94</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.84</td>\n",
       "      <td>3.44</td>\n",
       "      <td>25.51</td>\n",
       "      <td>450.48</td>\n",
       "      <td>608.24</td>\n",
       "      <td>686.11</td>\n",
       "      <td>58.54</td>\n",
       "      <td>21.18</td>\n",
       "      <td>63.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>509.03</td>\n",
       "      <td>629.43</td>\n",
       "      <td>749.29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.71</td>\n",
       "      <td>5.39</td>\n",
       "      <td>4.96</td>\n",
       "      <td>2.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>514.79</td>\n",
       "      <td>638.28</td>\n",
       "      <td>779.78</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.36</td>\n",
       "      <td>9.91</td>\n",
       "      <td>10.13</td>\n",
       "      <td>9.23</td>\n",
       "      <td>7.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.13</td>\n",
       "      <td>9.59</td>\n",
       "      <td>17.61</td>\n",
       "      <td>29.71</td>\n",
       "      <td>92.36</td>\n",
       "      <td>107.39</td>\n",
       "      <td>13.88</td>\n",
       "      <td>13.96</td>\n",
       "      <td>32.46</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.61</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.59</td>\n",
       "      <td>106.33</td>\n",
       "      <td>141.48</td>\n",
       "      <td>53.73</td>\n",
       "      <td>115.93</td>\n",
       "      <td>159.26</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.16</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>356</td>\n",
       "      <td>490</td>\n",
       "      <td>546</td>\n",
       "      <td>90</td>\n",
       "      <td>130</td>\n",
       "      <td>130</td>\n",
       "      <td>50</td>\n",
       "      <td>130</td>\n",
       "      <td>130</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>462</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>356.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>546.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>134.798</td>\n",
       "      <td>58.016</td>\n",
       "      <td>0.200</td>\n",
       "      <td>60.19</td>\n",
       "      <td>23.59</td>\n",
       "      <td>0.00</td>\n",
       "      <td>75.58</td>\n",
       "      <td>26.68</td>\n",
       "      <td>0.00</td>\n",
       "      <td>123.31</td>\n",
       "      <td>121.19</td>\n",
       "      <td>0.00</td>\n",
       "      <td>136.06</td>\n",
       "      <td>50.28</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>69</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1586</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.890</td>\n",
       "      <td>20.120</td>\n",
       "      <td>129.610</td>\n",
       "      <td>13.13</td>\n",
       "      <td>12.34</td>\n",
       "      <td>33.33</td>\n",
       "      <td>22.54</td>\n",
       "      <td>8.34</td>\n",
       "      <td>32.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.15</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.45</td>\n",
       "      <td>13.13</td>\n",
       "      <td>8.01</td>\n",
       "      <td>25.94</td>\n",
       "      <td>8.38</td>\n",
       "      <td>8.34</td>\n",
       "      <td>14.48</td>\n",
       "      <td>14.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>35.68</td>\n",
       "      <td>16.36</td>\n",
       "      <td>40.43</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.33</td>\n",
       "      <td>5.58</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.33</td>\n",
       "      <td>5.58</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.68</td>\n",
       "      <td>20.69</td>\n",
       "      <td>46.01</td>\n",
       "      <td>6.26</td>\n",
       "      <td>9.56</td>\n",
       "      <td>31.34</td>\n",
       "      <td>5.33</td>\n",
       "      <td>24.19</td>\n",
       "      <td>9.69</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>11.73</td>\n",
       "      <td>33.76</td>\n",
       "      <td>41.54</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.01</td>\n",
       "      <td>1.68</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.01</td>\n",
       "      <td>1.68</td>\n",
       "      <td>11.73</td>\n",
       "      <td>45.78</td>\n",
       "      <td>43.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1218</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.177</td>\n",
       "      <td>54.063</td>\n",
       "      <td>24.408</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>51.91</td>\n",
       "      <td>49.31</td>\n",
       "      <td>21.21</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>35.86</td>\n",
       "      <td>46.64</td>\n",
       "      <td>21.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>36.08</td>\n",
       "      <td>47.48</td>\n",
       "      <td>21.03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.71</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.61</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.71</td>\n",
       "      <td>1.61</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.33</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.13</td>\n",
       "      <td>49.31</td>\n",
       "      <td>21.21</td>\n",
       "      <td>30.40</td>\n",
       "      <td>3.79</td>\n",
       "      <td>0.00</td>\n",
       "      <td>28.83</td>\n",
       "      <td>22.41</td>\n",
       "      <td>17.73</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.54</td>\n",
       "      <td>8.93</td>\n",
       "      <td>59.23</td>\n",
       "      <td>35.76</td>\n",
       "      <td>26.66</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.21</td>\n",
       "      <td>1.93</td>\n",
       "      <td>1.91</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.34</td>\n",
       "      <td>1.93</td>\n",
       "      <td>1.91</td>\n",
       "      <td>70.26</td>\n",
       "      <td>38.01</td>\n",
       "      <td>28.81</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>60</td>\n",
       "      <td>80</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>50</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>710</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>273.082</td>\n",
       "      <td>298.166</td>\n",
       "      <td>256.839</td>\n",
       "      <td>290.08</td>\n",
       "      <td>165.11</td>\n",
       "      <td>68.04</td>\n",
       "      <td>158.28</td>\n",
       "      <td>141.11</td>\n",
       "      <td>25.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.01</td>\n",
       "      <td>1.43</td>\n",
       "      <td>0.84</td>\n",
       "      <td>34.58</td>\n",
       "      <td>41.26</td>\n",
       "      <td>16.31</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>59.28</td>\n",
       "      <td>64.96</td>\n",
       "      <td>6.11</td>\n",
       "      <td>38.59</td>\n",
       "      <td>42.69</td>\n",
       "      <td>17.16</td>\n",
       "      <td>286.06</td>\n",
       "      <td>163.68</td>\n",
       "      <td>67.19</td>\n",
       "      <td>64.41</td>\n",
       "      <td>20.74</td>\n",
       "      <td>3.45</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>350.48</td>\n",
       "      <td>184.43</td>\n",
       "      <td>70.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.98</td>\n",
       "      <td>81.08</td>\n",
       "      <td>8.89</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>450.06</td>\n",
       "      <td>308.21</td>\n",
       "      <td>96.71</td>\n",
       "      <td>2.78</td>\n",
       "      <td>0.51</td>\n",
       "      <td>2.23</td>\n",
       "      <td>65.26</td>\n",
       "      <td>83.18</td>\n",
       "      <td>56.96</td>\n",
       "      <td>1.39</td>\n",
       "      <td>4.06</td>\n",
       "      <td>3.11</td>\n",
       "      <td>69.44</td>\n",
       "      <td>87.76</td>\n",
       "      <td>62.31</td>\n",
       "      <td>3.94</td>\n",
       "      <td>1.38</td>\n",
       "      <td>24.01</td>\n",
       "      <td>2.41</td>\n",
       "      <td>0.43</td>\n",
       "      <td>1.86</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.36</td>\n",
       "      <td>1.81</td>\n",
       "      <td>25.88</td>\n",
       "      <td>75.81</td>\n",
       "      <td>89.78</td>\n",
       "      <td>88.19</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>336</td>\n",
       "      <td>342</td>\n",
       "      <td>277</td>\n",
       "      <td>50</td>\n",
       "      <td>110</td>\n",
       "      <td>67</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>10</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>92.38</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>292</td>\n",
       "      <td>2.91</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>336.0</td>\n",
       "      <td>367.0</td>\n",
       "      <td>277.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>302.970</td>\n",
       "      <td>76.833</td>\n",
       "      <td>0.00</td>\n",
       "      <td>15.31</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>46.81</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>15.31</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>38.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.30</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.76</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>54.79</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.45</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.50</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5.79</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>63.09</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>144.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>152.19</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.84</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.36</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>159.56</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>356</td>\n",
       "      <td>91</td>\n",
       "      <td>0</td>\n",
       "      <td>107</td>\n",
       "      <td>91</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.5</td>\n",
       "      <td>91.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>269.47</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>299.48</td>\n",
       "      <td>248.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>77.68</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.00</td>\n",
       "      <td>77.68</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>227</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>397.0</td>\n",
       "      <td>182.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   loc_og_t2o_mou  std_og_t2o_mou  loc_ic_t2o_mou   arpu_6   arpu_7   arpu_8  \\\n",
       "0             0.0             0.0             0.0   91.882   65.330   64.445   \n",
       "1             0.0             0.0             0.0  414.168  515.568  360.868   \n",
       "2             0.0             0.0             0.0  329.844  434.884  746.239   \n",
       "3             0.0             0.0             0.0   43.550  171.390   24.400   \n",
       "4             0.0             0.0             0.0  306.854  406.289  413.329   \n",
       "5             0.0             0.0             0.0  134.798   58.016    0.200   \n",
       "6             0.0             0.0             0.0   41.890   20.120  129.610   \n",
       "7             0.0             0.0             0.0   52.177   54.063   24.408   \n",
       "8             0.0             0.0             0.0  273.082  298.166  256.839   \n",
       "9             0.0             0.0             0.0    0.000  302.970   76.833   \n",
       "\n",
       "   onnet_mou_6  onnet_mou_7  onnet_mou_8  offnet_mou_6  offnet_mou_7  \\\n",
       "0        31.78        20.23        23.11         60.16         32.16   \n",
       "1        75.51        41.21        19.84        474.34        621.84   \n",
       "2         7.54         7.86         8.40         16.98         45.81   \n",
       "3         5.31         2.16         0.00         40.04        205.01   \n",
       "4       450.93       609.03       700.68         60.94         23.84   \n",
       "5        60.19        23.59         0.00         75.58         26.68   \n",
       "6        13.13        12.34        33.33         22.54          8.34   \n",
       "7         0.21         0.00         0.00         51.91         49.31   \n",
       "8       290.08       165.11        68.04        158.28        141.11   \n",
       "9         0.00        15.31         0.00          0.00         46.81   \n",
       "\n",
       "   offnet_mou_8  roam_ic_mou_6  roam_ic_mou_7  roam_ic_mou_8  roam_og_mou_6  \\\n",
       "0         34.83           0.00           0.00           0.00           0.00   \n",
       "1        394.94           0.00           0.00           0.00           0.00   \n",
       "2         45.04          22.81         103.38          26.08          24.53   \n",
       "3         24.01           0.00           0.00           0.00           0.00   \n",
       "4         74.16           0.00           0.00           0.00           0.00   \n",
       "5          0.00         123.31         121.19           0.00         136.06   \n",
       "6         32.13           0.00           0.00           2.15           0.00   \n",
       "7         21.21           0.00           0.00           0.00           0.00   \n",
       "8         25.88           0.00           0.00           0.00           0.00   \n",
       "9          0.00           0.00           0.00           0.00           0.00   \n",
       "\n",
       "   roam_og_mou_7  roam_og_mou_8  loc_og_t2t_mou_6  loc_og_t2t_mou_7  \\\n",
       "0           0.00           0.00             24.88             20.23   \n",
       "1           0.00           0.00             75.51             41.21   \n",
       "2          53.68          54.44              0.00              0.00   \n",
       "3           0.00           0.00              5.31              0.00   \n",
       "4           0.00           0.00              0.45              0.78   \n",
       "5          50.28           0.00              0.00              0.00   \n",
       "6           0.00          19.45             13.13              8.01   \n",
       "7           0.00           0.00              0.21              0.00   \n",
       "8           0.00           0.00              4.01              1.43   \n",
       "9           0.00           0.00              0.00             15.31   \n",
       "\n",
       "   loc_og_t2t_mou_8  loc_og_t2m_mou_6  loc_og_t2m_mou_7  loc_og_t2m_mou_8  \\\n",
       "0             21.06             18.13             10.89              8.36   \n",
       "1             19.84            473.61            598.08            377.26   \n",
       "2              0.00              0.00              0.00              0.00   \n",
       "3              0.00              2.94             98.61             20.51   \n",
       "4             14.56              2.39              2.66             10.94   \n",
       "5              0.00              0.00              0.00              0.00   \n",
       "6             25.94              8.38              8.34             14.48   \n",
       "7              0.00             35.86             46.64             21.03   \n",
       "8              0.84             34.58             41.26             16.31   \n",
       "9              0.00              0.00             38.18              0.00   \n",
       "\n",
       "   loc_og_t2f_mou_6  loc_og_t2f_mou_7  loc_og_t2f_mou_8  loc_og_t2c_mou_6  \\\n",
       "0              0.00             13.58              0.00              0.00   \n",
       "1              0.73              0.00              0.00              0.00   \n",
       "2              0.00              0.00              0.00              0.00   \n",
       "3              0.00              0.00              2.35              0.00   \n",
       "4              0.00              0.00              0.00              0.00   \n",
       "5              0.00              0.00              0.00              0.00   \n",
       "6             14.16              0.00              0.00              0.00   \n",
       "7              0.00              0.83              0.00              0.00   \n",
       "8              0.00              0.00              0.00             59.28   \n",
       "9              0.00              1.30              0.00              0.00   \n",
       "\n",
       "   loc_og_t2c_mou_7  loc_og_t2c_mou_8  loc_og_mou_6  loc_og_mou_7  \\\n",
       "0              0.00              0.03         43.01         44.71   \n",
       "1              0.00              0.00        549.86        639.29   \n",
       "2              0.00              0.00          0.00          0.00   \n",
       "3              6.18              0.00          8.26         98.61   \n",
       "4              0.00              0.00          2.84          3.44   \n",
       "5              0.00              0.00          0.00          0.00   \n",
       "6              0.00              0.00         35.68         16.36   \n",
       "7              0.00              0.00         36.08         47.48   \n",
       "8             64.96              6.11         38.59         42.69   \n",
       "9              2.76              0.00          0.00         54.79   \n",
       "\n",
       "   loc_og_mou_8  std_og_t2t_mou_6  std_og_t2t_mou_7  std_og_t2t_mou_8  \\\n",
       "0         29.43              6.90              0.00              2.05   \n",
       "1        397.11              0.00              0.00              0.00   \n",
       "2          0.00              0.00              0.00              0.00   \n",
       "3         22.86              0.00              2.16              0.00   \n",
       "4         25.51            450.48            608.24            686.11   \n",
       "5          0.00              0.00              0.00              0.00   \n",
       "6         40.43              0.00              4.33              5.58   \n",
       "7         21.03              0.00              0.00              0.00   \n",
       "8         17.16            286.06            163.68             67.19   \n",
       "9          0.00              0.00              0.00              0.00   \n",
       "\n",
       "   std_og_t2m_mou_6  std_og_t2m_mou_7  std_og_t2m_mou_8  std_og_t2f_mou_6  \\\n",
       "0             42.03              7.68             26.43               0.0   \n",
       "1              0.00             23.76             17.68               0.0   \n",
       "2              0.00              0.00              0.00               0.0   \n",
       "3             37.09             94.36              0.00               0.0   \n",
       "4             58.54             21.18             63.18               0.0   \n",
       "5              0.00              0.00              0.00               0.0   \n",
       "6              0.00              0.00              0.00               0.0   \n",
       "7             13.71              0.00              0.00               0.0   \n",
       "8             64.41             20.74              3.45               0.0   \n",
       "9              0.00              1.05              0.00               0.0   \n",
       "\n",
       "   std_og_t2f_mou_7  std_og_t2f_mou_8  std_og_t2c_mou_6  std_og_t2c_mou_7  \\\n",
       "0              0.00               0.0               0.0               0.0   \n",
       "1              0.00               0.0               0.0               0.0   \n",
       "2              0.00               0.0               0.0               0.0   \n",
       "3              0.00               0.0               0.0               0.0   \n",
       "4              0.00               0.0               0.0               0.0   \n",
       "5              0.00               0.0               0.0               0.0   \n",
       "6              0.00               0.0               0.0               0.0   \n",
       "7              1.61               0.0               0.0               0.0   \n",
       "8              0.00               0.0               0.0               0.0   \n",
       "9              1.45               0.0               0.0               0.0   \n",
       "\n",
       "   std_og_t2c_mou_8  std_og_mou_6  std_og_mou_7  std_og_mou_8  isd_og_mou_6  \\\n",
       "0               0.0         48.93          7.68         28.48           0.0   \n",
       "1               0.0          0.00         23.76         17.68           0.0   \n",
       "2               0.0          0.00          0.00          0.00           0.0   \n",
       "3               0.0         37.09         96.53          0.00           0.0   \n",
       "4               0.0        509.03        629.43        749.29           0.0   \n",
       "5               0.0          0.00          0.00          0.00           0.0   \n",
       "6               0.0          0.00          4.33          5.58           0.0   \n",
       "7               0.0         13.71          1.61          0.00           0.0   \n",
       "8               0.0        350.48        184.43         70.64           0.0   \n",
       "9               0.0          0.00          2.50          0.00           0.0   \n",
       "\n",
       "   isd_og_mou_7  isd_og_mou_8  spl_og_mou_6  spl_og_mou_7  spl_og_mou_8  \\\n",
       "0           0.0           0.0          0.00          0.00          0.03   \n",
       "1           0.0           0.8          0.00          0.00          0.00   \n",
       "2           0.0           0.0          0.00          0.00          0.00   \n",
       "3           0.0           0.0          0.00         12.03          1.15   \n",
       "4           0.0           0.0          0.71          5.39          4.96   \n",
       "5           0.0           0.0          0.00          0.00          0.00   \n",
       "6           0.0           0.0          0.00          0.00          0.00   \n",
       "7           0.0           0.0          2.33          0.21          0.18   \n",
       "8           0.0           0.0         59.98         81.08          8.89   \n",
       "9           0.0           0.0          0.00          5.79          0.00   \n",
       "\n",
       "   og_others_6  og_others_7  og_others_8  total_og_mou_6  total_og_mou_7  \\\n",
       "0         0.00          0.0          0.0           91.94           52.39   \n",
       "1         0.00          0.0          0.0          549.86          663.06   \n",
       "2         0.00          0.0          0.0            0.00            0.00   \n",
       "3         0.00          0.0          0.0           45.36          207.18   \n",
       "4         2.20          0.0          0.0          514.79          638.28   \n",
       "5         0.00          0.0          0.0            0.00            0.00   \n",
       "6         0.00          0.0          0.0           35.68           20.69   \n",
       "7         0.00          0.0          0.0           52.13           49.31   \n",
       "8         0.99          0.0          0.0          450.06          308.21   \n",
       "9         0.00          0.0          0.0            0.00           63.09   \n",
       "\n",
       "   total_og_mou_8  loc_ic_t2t_mou_6  loc_ic_t2t_mou_7  loc_ic_t2t_mou_8  \\\n",
       "0           57.94             30.33             37.56             21.98   \n",
       "1          415.59             19.99             26.95              2.61   \n",
       "2            0.00              0.00              0.00              0.00   \n",
       "3           24.01             58.11             54.64             23.04   \n",
       "4          779.78              0.00              0.36              9.91   \n",
       "5            0.00              0.00              0.00              0.00   \n",
       "6           46.01              6.26              9.56             31.34   \n",
       "7           21.21             30.40              3.79              0.00   \n",
       "8           96.71              2.78              0.51              2.23   \n",
       "9            0.00              0.00              7.83              0.00   \n",
       "\n",
       "   loc_ic_t2m_mou_6  loc_ic_t2m_mou_7  loc_ic_t2m_mou_8  loc_ic_t2f_mou_6  \\\n",
       "0             10.21              4.59              9.53              0.26   \n",
       "1            160.19            122.29            184.81              1.49   \n",
       "2              0.00              0.00              0.00              0.00   \n",
       "3            487.94            449.83            506.94              0.00   \n",
       "4             10.13              9.23              7.69              0.00   \n",
       "5              0.00              0.00              0.00              0.00   \n",
       "6              5.33             24.19              9.69              0.13   \n",
       "7             28.83             22.41             17.73              0.00   \n",
       "8             65.26             83.18             56.96              1.39   \n",
       "9              0.00            144.36              0.00              0.00   \n",
       "\n",
       "   loc_ic_t2f_mou_7  loc_ic_t2f_mou_8  loc_ic_mou_6  loc_ic_mou_7  \\\n",
       "0              0.00              0.00         40.81         42.16   \n",
       "1              0.00              0.00        181.69        149.24   \n",
       "2              0.00              0.00          0.00          0.00   \n",
       "3              0.38              1.64        546.06        504.86   \n",
       "4              0.00              0.00         10.13          9.59   \n",
       "5              0.00              0.00          0.00          0.00   \n",
       "6              0.00              0.50         11.73         33.76   \n",
       "7              9.54              8.93         59.23         35.76   \n",
       "8              4.06              3.11         69.44         87.76   \n",
       "9              0.00              0.00          0.00        152.19   \n",
       "\n",
       "   loc_ic_mou_8  std_ic_t2t_mou_6  std_ic_t2t_mou_7  std_ic_t2t_mou_8  \\\n",
       "0         31.51              0.00              0.00              0.00   \n",
       "1        187.43              0.00              0.00              0.00   \n",
       "2          0.00              0.00              0.00              0.00   \n",
       "3        531.64              0.00              4.26              0.00   \n",
       "4         17.61             29.71             92.36            107.39   \n",
       "5          0.00              0.00              0.00              0.00   \n",
       "6         41.54              0.00              0.00              0.00   \n",
       "7         26.66              0.00              0.00              0.00   \n",
       "8         62.31              3.94              1.38             24.01   \n",
       "9          0.00              0.00              0.00              0.00   \n",
       "\n",
       "   std_ic_t2m_mou_6  std_ic_t2m_mou_7  std_ic_t2m_mou_8  std_ic_t2f_mou_6  \\\n",
       "0              0.36              1.04              4.34              0.00   \n",
       "1              0.00             12.51              0.00              0.00   \n",
       "2              0.00              0.00              0.00              0.00   \n",
       "3              9.63             11.88              8.83              0.00   \n",
       "4             13.88             13.96             32.46              0.00   \n",
       "5              0.00              0.00              0.00              0.00   \n",
       "6              0.00             12.01              1.68              0.00   \n",
       "7              3.13              0.00              0.00              7.21   \n",
       "8              2.41              0.43              1.86              0.00   \n",
       "9              0.00              0.51              0.00              0.00   \n",
       "\n",
       "   std_ic_t2f_mou_7  std_ic_t2f_mou_8  std_ic_t2o_mou_6  std_ic_t2o_mou_7  \\\n",
       "0              0.00              0.00               0.0               0.0   \n",
       "1              0.00              0.00               0.0               0.0   \n",
       "2              0.00              0.00               0.0               0.0   \n",
       "3              0.00              0.00               0.0               0.0   \n",
       "4              0.00              1.61               0.0               0.0   \n",
       "5              0.00              0.00               0.0               0.0   \n",
       "6              0.00              0.00               0.0               0.0   \n",
       "7              1.93              1.91               0.0               0.0   \n",
       "8              0.00              0.00               0.0               0.0   \n",
       "9              6.84              0.00               0.0               0.0   \n",
       "\n",
       "   std_ic_t2o_mou_8  std_ic_mou_6  std_ic_mou_7  std_ic_mou_8  total_ic_mou_6  \\\n",
       "0               0.0          0.36          1.04          4.34           41.73   \n",
       "1               0.0          0.00         12.51          0.00          296.33   \n",
       "2               0.0          0.00          0.00          0.00            0.00   \n",
       "3               0.0          9.63         16.14          8.83          555.69   \n",
       "4               0.0         43.59        106.33        141.48           53.73   \n",
       "5               0.0          0.00          0.00          0.00            0.00   \n",
       "6               0.0          0.00         12.01          1.68           11.73   \n",
       "7               0.0         10.34          1.93          1.91           70.26   \n",
       "8               0.0          6.36          1.81         25.88           75.81   \n",
       "9               0.0          0.00          7.36          0.00            0.00   \n",
       "\n",
       "   total_ic_mou_7  total_ic_mou_8  spl_ic_mou_6  spl_ic_mou_7  spl_ic_mou_8  \\\n",
       "0           43.56           36.26          0.54          0.34          0.39   \n",
       "1          339.64          281.66          0.00          0.00          0.00   \n",
       "2            0.00            0.00          0.00          0.00          0.00   \n",
       "3          522.44          549.13          0.00          0.00          0.00   \n",
       "4          115.93          159.26          0.00          0.00          0.00   \n",
       "5            0.00            0.00          0.00          0.00          0.00   \n",
       "6           45.78           43.23          0.00          0.00          0.00   \n",
       "7           38.01           28.81          0.36          0.18          0.23   \n",
       "8           89.78           88.19          0.00          0.00          0.00   \n",
       "9          159.56            0.00          0.00          0.00          0.00   \n",
       "\n",
       "   isd_ic_mou_6  isd_ic_mou_7  isd_ic_mou_8  ic_others_6  ic_others_7  \\\n",
       "0          0.00          0.00          0.00         0.00         0.00   \n",
       "1        114.63        177.88         94.23         0.00         0.00   \n",
       "2          0.00          0.00          0.00         0.00         0.00   \n",
       "3          0.00          1.43          8.65         0.00         0.00   \n",
       "4          0.00          0.00          0.00         0.00         0.00   \n",
       "5          0.00          0.00          0.00         0.00         0.00   \n",
       "6          0.00          0.00          0.00         0.00         0.00   \n",
       "7          0.00          0.00          0.00         0.31         0.13   \n",
       "8          0.00          0.13          0.00         0.00         0.06   \n",
       "9          0.00          0.00          0.00         0.00         0.00   \n",
       "\n",
       "   ic_others_8  total_rech_num_6  total_rech_num_7  total_rech_num_8  \\\n",
       "0         0.00                 5                 5                 4   \n",
       "1         0.00                 5                 4                 5   \n",
       "2         0.00                 6                 9                 5   \n",
       "3         0.00                 3                 5                 2   \n",
       "4         0.16                11                 7                 8   \n",
       "5         0.00                 5                 3                 0   \n",
       "6         0.00                 2                 2                 3   \n",
       "7         0.00                 4                 6                 3   \n",
       "8         0.00                12                 7                12   \n",
       "9         0.00                 2                 8                 2   \n",
       "\n",
       "   total_rech_amt_6  total_rech_amt_7  total_rech_amt_8  max_rech_amt_6  \\\n",
       "0               103                90                60              50   \n",
       "1               500               500               500             250   \n",
       "2               500              1000              1000             300   \n",
       "3               110               260                 0             110   \n",
       "4               356               490               546              90   \n",
       "5                69                56                 0              26   \n",
       "6                 0                 0               150               0   \n",
       "7                60                80                30              30   \n",
       "8               336               342               277              50   \n",
       "9                 0               356                91               0   \n",
       "\n",
       "   max_rech_amt_7  max_rech_amt_8  last_day_rch_amt_6  last_day_rch_amt_7  \\\n",
       "0              30              30                  30                  30   \n",
       "1             250             250                 250                   0   \n",
       "2             500             500                   0                   0   \n",
       "3             150               0                 110                 150   \n",
       "4             130             130                  50                 130   \n",
       "5              30               0                  23                  26   \n",
       "6               0             150                   0                   0   \n",
       "7              50              30                  30                   0   \n",
       "8             110              67                  50                  50   \n",
       "9             107              91                   0                  41   \n",
       "\n",
       "   last_day_rch_amt_8  total_rech_data_6  total_rech_data_7  \\\n",
       "0                   0                0.0                0.0   \n",
       "1                   0                0.0                0.0   \n",
       "2                   0                0.0                0.0   \n",
       "3                   0                0.0                0.0   \n",
       "4                 130                0.0                0.0   \n",
       "5                   0                0.0                0.0   \n",
       "6                   0                0.0                0.0   \n",
       "7                   0                0.0                0.0   \n",
       "8                  10                0.0                1.0   \n",
       "9                   0                0.0                2.0   \n",
       "\n",
       "   total_rech_data_8  max_rech_data_6  max_rech_data_7  max_rech_data_8  \\\n",
       "0                0.0              0.0              0.0              0.0   \n",
       "1                0.0              0.0              0.0              0.0   \n",
       "2                0.0              0.0              0.0              0.0   \n",
       "3                0.0              0.0              0.0              0.0   \n",
       "4                0.0              0.0              0.0              0.0   \n",
       "5                0.0              0.0              0.0              0.0   \n",
       "6                0.0              0.0              0.0              0.0   \n",
       "7                0.0              0.0              0.0              0.0   \n",
       "8                0.0              0.0             25.0              0.0   \n",
       "9                1.0              0.0             41.0             91.0   \n",
       "\n",
       "   count_rech_2g_6  count_rech_2g_7  count_rech_2g_8  count_rech_3g_6  \\\n",
       "0              0.0              0.0              0.0              0.0   \n",
       "1              0.0              0.0              0.0              0.0   \n",
       "2              0.0              0.0              0.0              0.0   \n",
       "3              0.0              0.0              0.0              0.0   \n",
       "4              0.0              0.0              0.0              0.0   \n",
       "5              0.0              0.0              0.0              0.0   \n",
       "6              0.0              0.0              0.0              0.0   \n",
       "7              0.0              0.0              0.0              0.0   \n",
       "8              0.0              1.0              0.0              0.0   \n",
       "9              0.0              0.0              0.0              0.0   \n",
       "\n",
       "   count_rech_3g_7  count_rech_3g_8  av_rech_amt_data_6  av_rech_amt_data_7  \\\n",
       "0              0.0              0.0                 0.0                 0.0   \n",
       "1              0.0              0.0                 0.0                 0.0   \n",
       "2              0.0              0.0                 0.0                 0.0   \n",
       "3              0.0              0.0                 0.0                 0.0   \n",
       "4              0.0              0.0                 0.0                 0.0   \n",
       "5              0.0              0.0                 0.0                 0.0   \n",
       "6              0.0              0.0                 0.0                 0.0   \n",
       "7              0.0              0.0                 0.0                 0.0   \n",
       "8              0.0              0.0                 0.0                25.0   \n",
       "9              2.0              1.0                 0.0                20.5   \n",
       "\n",
       "   av_rech_amt_data_8  vol_2g_mb_6  vol_2g_mb_7  vol_2g_mb_8  vol_3g_mb_6  \\\n",
       "0                 0.0          0.0         0.00          0.0          0.0   \n",
       "1                 0.0          0.0         0.00          0.0          0.0   \n",
       "2                 0.0          0.0         0.00          0.0          0.0   \n",
       "3                 0.0          0.0         0.00          0.0          0.0   \n",
       "4                 0.0          0.0         0.00          0.0          0.0   \n",
       "5                 0.0          0.0         0.00          0.0          0.0   \n",
       "6                 0.0          0.0         0.00          0.0          0.0   \n",
       "7                 0.0          0.0         0.00          0.0          0.0   \n",
       "8                 0.0          0.0        40.80          0.0          0.0   \n",
       "9                91.0          0.0       269.47          0.0          0.0   \n",
       "\n",
       "   vol_3g_mb_7  vol_3g_mb_8  arpu_3g_6  arpu_3g_7  arpu_3g_8  arpu_2g_6  \\\n",
       "0         0.00         0.00        0.0        0.0       0.00        0.0   \n",
       "1         0.00         0.00        0.0        0.0       0.00        0.0   \n",
       "2         0.00         0.00        0.0        0.0       0.00        0.0   \n",
       "3         0.00         0.00        0.0        0.0       0.00        0.0   \n",
       "4         0.00         0.00        0.0        0.0       0.00        0.0   \n",
       "5         0.00         0.00        0.0        0.0       0.00        0.0   \n",
       "6         0.00         0.00        0.0        0.0       0.00        0.0   \n",
       "7         0.00         0.00        0.0        0.0       0.00        0.0   \n",
       "8         0.00         0.00        0.0        0.0       0.00        0.0   \n",
       "9       299.48       248.94        0.0       70.0      77.68        0.0   \n",
       "\n",
       "   arpu_2g_7  arpu_2g_8  monthly_2g_6  monthly_2g_7  monthly_2g_8  \\\n",
       "0       0.00       0.00             0             0             0   \n",
       "1       0.00       0.00             0             0             0   \n",
       "2       0.00       0.00             0             0             0   \n",
       "3       0.00       0.00             0             0             0   \n",
       "4       0.00       0.00             0             0             0   \n",
       "5       0.00       0.00             0             0             0   \n",
       "6       0.00       0.00             0             0             0   \n",
       "7       0.00       0.00             0             0             0   \n",
       "8      92.38       0.00             0             0             0   \n",
       "9      70.00      77.68             0             0             0   \n",
       "\n",
       "   sachet_2g_6  sachet_2g_7  sachet_2g_8  monthly_3g_6  monthly_3g_7  \\\n",
       "0            0            0            0             0             0   \n",
       "1            0            0            0             0             0   \n",
       "2            0            0            0             0             0   \n",
       "3            0            0            0             0             0   \n",
       "4            0            0            0             0             0   \n",
       "5            0            0            0             0             0   \n",
       "6            0            0            0             0             0   \n",
       "7            0            0            0             0             0   \n",
       "8            0            1            0             0             0   \n",
       "9            0            0            0             0             0   \n",
       "\n",
       "   monthly_3g_8  sachet_3g_6  sachet_3g_7  sachet_3g_8   aon  aug_vbc_3g  \\\n",
       "0             0            0            0            0  1692        0.00   \n",
       "1             0            0            0            0  2533        0.00   \n",
       "2             0            0            0            0   277      525.61   \n",
       "3             0            0            0            0  1244        0.00   \n",
       "4             0            0            0            0   462        0.00   \n",
       "5             0            0            0            0  1586        0.00   \n",
       "6             0            0            0            0  1218        0.00   \n",
       "7             0            0            0            0   710        0.00   \n",
       "8             0            0            0            0   292        2.91   \n",
       "9             0            0            2            1   227        0.00   \n",
       "\n",
       "   jul_vbc_3g  jun_vbc_3g  churn_probability  total_data_rech_6  \\\n",
       "0        0.00        0.00                NaN                0.0   \n",
       "1        0.00        0.00                NaN                0.0   \n",
       "2      758.41      241.84                NaN                0.0   \n",
       "3        0.00        0.00                NaN                0.0   \n",
       "4        0.00        0.00                NaN                0.0   \n",
       "5        0.00        0.00                NaN                0.0   \n",
       "6        0.00        0.00                NaN                0.0   \n",
       "7        0.00        0.00                NaN                0.0   \n",
       "8        0.00        0.00                NaN                0.0   \n",
       "9        0.00        0.00                NaN                0.0   \n",
       "\n",
       "   total_data_rech_7  total_data_rech_8  total_rech_6  total_rech_7  \\\n",
       "0                0.0                0.0         103.0          90.0   \n",
       "1                0.0                0.0         500.0         500.0   \n",
       "2                0.0                0.0         500.0        1000.0   \n",
       "3                0.0                0.0         110.0         260.0   \n",
       "4                0.0                0.0         356.0         490.0   \n",
       "5                0.0                0.0          69.0          56.0   \n",
       "6                0.0                0.0           0.0           0.0   \n",
       "7                0.0                0.0          60.0          80.0   \n",
       "8               25.0                0.0         336.0         367.0   \n",
       "9               41.0               91.0           0.0         397.0   \n",
       "\n",
       "   total_rech_8  \n",
       "0          60.0  \n",
       "1         500.0  \n",
       "2        1000.0  \n",
       "3           0.0  \n",
       "4         546.0  \n",
       "5           0.0  \n",
       "6         150.0  \n",
       "7          30.0  \n",
       "8         277.0  \n",
       "9         182.0  "
      ]
     },
     "execution_count": 344,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualize Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Univariate EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count    69999.000000\n",
      "mean       283.134365\n",
      "std        334.213918\n",
      "min      -2258.709000\n",
      "25%         93.581000\n",
      "50%        197.484000\n",
      "75%        370.791000\n",
      "max      27731.088000\n",
      "Name: arpu_6, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(train['arpu_6'])\n",
    "print(train['arpu_6'].describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count    69999.000000\n",
      "mean       172.524819\n",
      "std        856.608088\n",
      "min          0.000000\n",
      "25%          0.000000\n",
      "50%          0.000000\n",
      "75%         17.000000\n",
      "max      55080.000000\n",
      "Name: total_data_rech_7, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(train['total_data_rech_7'])\n",
    "print(train['total_data_rech_7'].describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 347,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count    69999.000000\n",
      "mean       125.943607\n",
      "std        304.990552\n",
      "min          0.000000\n",
      "25%          4.110000\n",
      "50%         27.840000\n",
      "75%        106.280000\n",
      "max      10752.560000\n",
      "Name: onnet_mou_8, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(train['onnet_mou_8'])\n",
    "print(train['onnet_mou_8'].describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 348,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='churn_probability', ylabel='aon'>"
      ]
     },
     "execution_count": 348,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data=train[['churn_probability','aon']],\n",
    "    x='churn_probability',\n",
    "    y='aon'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='churn_probability', ylabel='total_rech_8'>"
      ]
     },
     "execution_count": 349,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZgAAAEKCAYAAAAvlUMdAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAbsElEQVR4nO3df5xV9X3n8debGTRqG9GRJfwwxRaSPMiPtjpLcPXRWAEd3Ag+tiYracroGtmtRo3pptGtLWrSR3S3XTeYxMqqcUjir6qNY6KDA0qqyWocooI/4jpVjCAqXkSDuNoZPvvH/Q65DMOdK3PPHGbO+/l43Mec7/d8zzmfiyNvzm9FBGZmZvU2Ju8CzMxsdHLAmJlZJhwwZmaWCQeMmZllwgFjZmaZcMCYmVkmMg0YSddLelXSExV9h0rqlPRs+nlI6pekpZK6Ja2VdGTFMq1p/LOSWiv6j5K0Li2zVJKqbcPMzIZP1nswNwAt/fouBFZFxHRgVWoDzAOmp89i4GoohwWwBPgkMBNYUhEYVwNnVSzXMsg2zMxsmCjrGy0lTQV+FBEfS+1ngOMiYpOkicDqiPiwpGvS9E2V4/o+EfGfU/81wOr0uT8iPpL6F/aN29M2Bqv1sMMOi6lTp9btu5uZFcGaNWtei4jx/fsbc6hlQkRsStMvAxPS9GTgxYpxG1Jftf4NA/RX20ZVU6dOpaurq8avYWZmAJJeGKg/15P8Ud59ynQXarBtSFosqUtS1+bNm7MsxcysUPIImFfSYSvSz1dT/0bg8IpxU1Jftf4pA/RX28ZuImJZRDRHRPP48bvt4ZmZ2V7KI2Dagb4rwVqBOyv6F6WryWYBb6TDXCuAEyQdkk7unwCsSPPelDQrXT22qN+6BtqGmZkNk0zPwUi6ifJJ+sMkbaB8NdjlwK2SzgReAD6bht8NnAR0A9uBMwAiYoukrwGPpHGXRcSWNH025SvVDgDuSR+qbMPMzIZJ5leRjSTNzc3hk/xDVyqVuPTSS1myZAlNTU15l2NmGZO0JiKa+/f7Tn6ru7a2NtatW8fy5cvzLsXMcuSAsboqlUp0dHQQEXR0dFAqlfIuycxy4oCxumpra2PHjh0A9Pb2ei/GrMAcMFZXK1eupKenB4Cenh46OztzrsjM8uKAsbqaM2cOjY3lixMbGxuZO3duzhWZWV4cMFZXra2tjBlT/rVqaGhg0aJFOVdkZnlxwFhdNTU10dLSgiRaWlp8mbJZgeXxsEsb5VpbW1m/fr33XswKzgFjddfU1MTSpUvzLsPMcuZDZGZmlgkHjJmZZcIBY2ZmmXDAmJlZJhwwZmaWCQeMmZllwgFjZmaZcMCYmVkmHDBmZpYJB4yZmWXCAWNmZplwwJiZWSYcMGZmlgkHjJmZZcIBY2ZmmXDAmJlZJhwwZmaWCQeMmZllwgFjZmaZcMCYmVkmHDBmZpYJB4yZmWXCAWNmZpnILWAkXSDpSUlPSLpJ0vskHSHpYUndkm6RtF8au39qd6f5UyvWc1Hqf0bSiRX9LamvW9KFOXxFM7NCyyVgJE0GzgOaI+JjQANwGnAFcGVETANeB85Mi5wJvJ76r0zjkDQjLfdRoAX4jqQGSQ3At4F5wAxgYRprZmbDJM9DZI3AAZIagQOBTcDxwG1pfhtwSppekNqk+bMlKfXfHBHvRMTzQDcwM326I+K5iHgXuDmNNTOzYZJLwETERuDvgF9RDpY3gDXA1ojoScM2AJPT9GTgxbRsTxrfVNnfb5k99ZuZ2TDJ6xDZIZT3KI4AJgEHUT7ElUctiyV1SeravHlzHiWYmY1KeR0imwM8HxGbI+JfgTuAY4Bx6ZAZwBRgY5reCBwOkOYfDJQq+/sts6f+3UTEsohojojm8ePH1+O7mZkZ+QXMr4BZkg5M51JmA08B9wOnpjGtwJ1puj21SfPvi4hI/aelq8yOAKYDPwceAaanq9L2o3whQPswfC8zM0saBx9SfxHxsKTbgF8APcCjwDLgx8DNkr6e+q5Li1wHfE9SN7CFcmAQEU9KupVyOPUA50REL4CkLwIrKF+hdn1EPDlc38/MzEDlHQEDaG5ujq6urrzLMDMbUSStiYjm/v2+k9/MzDLhgDEzs0w4YMzMLBMOGDMzy4QDxszMMuGAMTOzTDhgzMwsEw4YMzPLhAPGzMwy4YAxM7NMOGDMzCwTDhgzM8uEA8bMzDLhgDEzs0w4YMzMLBMOGDMzy4QDxszMMuGAMTOzTDhgzMwsEw4YMzPLhAPGzMwy4YAxM7NMOGDMzCwTDhgzM8uEA8bMzDLhgDEzs0w4YMzMLBMOGDMzy4QDxszMMuGAMTOzTDhgzMwsEw4YMzPLhAPGzMwyMWjASGqsmP4tSc2SDh3qhiWNk3SbpF9KelrS0ZIOldQp6dn085A0VpKWSuqWtFbSkRXraU3jn5XUWtF/lKR1aZmlkjTUms3MrHZVA0bS6cArkv6vpHnAWuAK4HFJC4e47W8CHRHxEeD3gaeBC4FVETEdWJXaAPOA6emzGLg61XcosAT4JDATWNIXSmnMWRXLtQyxXqtRqVTivPPOo1Qq5V2KmeVosD2YvwA+DJwI3ALMjYjZQDNw0d5uVNLBwB8B1wFExLsRsRVYALSlYW3AKWl6AbA8yh4CxkmamOrqjIgtEfE60Am0pHnvj4iHIiKA5RXrsoy1tbWxbt06li9fnncpZpajwQKmNyJei4jngW0R8S8AEfHKELd7BLAZ+K6kRyVdK+kgYEJEbEpjXgYmpOnJwIsVy29IfdX6NwzQvxtJiyV1SeravHnzEL+WlUolOjo6iAg6Ojq8F2NWYIMFzK8kfUPSt4BfSvp7ScdIWgJsGmTZahqBI4GrI+IPgbf4zeEwANKeRwxhGzWJiGUR0RwRzePHj896c6NeW1sbO3bsAKC3t9d7MWYFNljAfB54k/IewHzgZ5QPjf0b4PQhbHcDsCEiHk7t2ygHzivp8Bbp56tp/kbg8Irlp6S+av1TBui3jK1cuZKenh4Aenp66OzszLkiM8tL1YCJiDcj4hsRcXlEbIuI2yPi0xFxTsWhLCRd9V42GhEvAy9K+nDqmg08BbQDfVeCtQJ3pul2YFG6mmwW8Eba/grgBEmHpJP7JwAr0rw3Jc1KV48tqliXZWjOnDk0NpYvPGxsbGTu3Lk5V2RmeWkcfEhNjtmLZc4FfiBpP+A54AzKgXerpDOBF4DPprF3AycB3cD2NJaI2CLpa8AjadxlEbElTZ8N3AAcANyTPpax1tZWOjo6AGhoaGDRokU5V2RmealXwLxnEfEY5avR+ps9wNgAztnDeq4Hrh+gvwv42NCqtPeqqamJlpYW7rrrLlpaWmhqasq7JDPLSW4BY6NXa2sr69ev996LWcHVK2B8l7zt1NTUxNKlS/Muw8xyVq9nkX2zTusxM7NRoqY9GEkfAr4C/E7lMhFxfPp5QxbFmZnZyFXrIbJ/BP4B+N9Ab3blmJnZaFFrwPRExNWZVmJmZqNK1YCpeCz/XZLOBv4JeKdvfsU9J2ZmZrsYbA9mDeXngfVdJfaVinkB/G4WRZmZ2chXNWAi4ojhKsTMzEaXmi5TlnSOpHEV7UPSITMzM7MB1XofzFnphWAApJd7nZVJRWZmNirUGjANle+0l9QA7JdNSTbS+ZXJZga1B0wHcIuk2ZJmAzelPrPd+JXJZga1B8xXgfuBP0+fVcBfZlWUjVx+ZbKZ9akpYCJiB+V3q/xVRJwaEddEhO/ot934lclm1qfWq8jmA4+RDotJ+gNJ7RnWZSOUX5lsZn1qPUS2BJgJbIWdLwvzPTK2G78y2cz61Bow/xoRb/Tri3oXYyNfa2srY8aUf638ymSzYqs1YJ6U9DnKlytPl3QV8LMM67IRqu+VyZL8ymSzgqs1YM4FPkr5QZc3Am8AX8qoJhvhWltb+fjHP+69F7OCG/Rx/emmyh9HxB8Df5V9SWZmNhoMugeTLkfeIengYajHRoFrrrmGtWvXsmzZsrxLMbMc1XqIbBuwTtJ1kpb2fbIszEamUqnEypUrAejs7PSNlmYFVmvA3AH8NfDPlN8R0/cx28U111yz80bLHTt2eC/GrMAUMfSrjSXdHhF/Uod6ctXc3BxdXV15lzGizZ49m97e3zzkoaGhgVWrVuVYkZllTdKaiGju31/rHsxg/GZLA6DiodsDts2sOOoVML7p0gA49thjq7bNrDjqFTBmAOy3366vCdp///1zqsTM8lavgPFxEAPgwQcf3KX9wAMP5FSJmeWtXgHz1Tqtx0a4OXPm7NL2wy7NiqvqnfyS1jHw+RUBERGfoDxxbwa12Qg0f/582tt/8yaHk08+OcdqzCxPgz0q5tPDUoWNGpXhAnDXXXdxwQUX5FSNmeWp6iGyiHih2meoG5fUIOlRST9K7SMkPSypW9ItkvZL/fundneaP7ViHRel/mcknVjR35L6uiVdONRarTb9XzB2773euTUrqlrfaDlL0iOStkl6V1KvpDfrsP3zgacr2lcAV0bENOB14MzUfybweuq/Mo1D0gzgNMpPem4BvpNCqwH4NjAPmAEsTGMtYxMmTKjaNrPiqPUk/7eAhcCzwAHAFyj/Bb7XJE0B/j1wbWoLOB64LQ1pA05J0wtSmzR/dhq/ALg5It6JiOeBbspv3pwJdEfEcxHxLnBzGmsZe+WVV6q2zaw4ar6KLCK6gYaI6I2I71LeYxiK/wX8JbAjtZuArRHRk9obgMlpejLwYqqjh/L7aJoq+/sts6d+y9jcuXN33r0viRNOOCHniswsL7UGzPZ0PuQxSf9d0gXvYdndSPo08GpE5P7ATEmLJXVJ6tq8eXPe5Yx4ra2tjB07FoCxY8f6pWNmBVZrSPxZGvtF4C3gcOA/DGG7xwDzJa2nfPjqeOCbwDhJfVe2TQE2pumNaZuk+QcDpcr+fsvsqX83EbEsIpojonn8+PFD+EoGu74yed68eX5lslmB1Rowp0TE/4uINyPi0oj4MkO4hDkiLoqIKRExlfJJ+vsi4k+B+4FT07BW4M403Z7apPn3Rfkx0O3AaekqsyOA6cDPgUeA6emqtP3SNna9ftYyM3/+fA488EDfA2NWcLUGTOsAfafXsY4+XwW+LKmb8jmW61L/dUBT6v8ycCFARDwJ3Ao8BXQA56RzRD2U97ZWUL5K7dY01oZBe3s727dv56677sq7FDPLUdX3wUhaCHwOOBaofKjU+4HeiJidbXnDy++DGbpSqcTChQt599132X///bnxxht9mMxslNvT+2AGu5P/Z8Am4DDg7yv6fw2srV95Nlq0tbXtfKNlb28vy5cv9538ZgVVy538qyPiaOCXwG+nz4aKy4nNdlq5ciU9PeVfjZ6ent3u7Dez4qj1Tv7PUD55/hngs8DDkk6tvpQV0Zw5c3a5D8ZPUzYrrlpP8l8M/NuIaI2IRZTvlP/r7MqykWr+/Pn0ndeLCF9JZlZgtQbMmIh4taJdeg/LWoG0t7fvsgfjK8nMiqvWkLhH0gpJp0s6HfgxcHd2ZdlItXLlyl32YHwOxqy4ag2YAK4BPpE+yzKryEY0n4Mxsz61BszciLgjIr6cPv9E+VH4ZrvwORgz61M1YCT9eXpt8oclra34PI/vg7EBDPRGSzMrpsH2YG4ETqb8HK+TKz5HRcTnM67NRiC/0dLM+lS9kz8i3qD87pWFw1OOjXQTJkxg/fr1u7TNrJh8qbHVld9oaWZ9HDBWV/2vGvMbLc2KywFjdTV//vxd2r6KzKy4HDBWV76KzMz6OGCsrvpfNbZixYqcKjGzvDlgrK4aGxurts2sOBwwVlfbtm2r2jaz4nDAWF1NnTq1atvMisMBY3V18cUXV22bWXE4YKyupk2bxsSJEwGYNGkS06ZNy7kiM8uLA8bqru9x/WZWbA4Yq6vu7m5eeuklAF566SW6u7tzrsjM8uKAsbr6+te/XrVtZsXhgLG6qnyS8kBtMysOB4zVlS9TNrM+DhirK1+mbGZ9HDBmZpYJB4zV1SWXXFK1bWbF4YCxutqwYUPVtpkVhwPGzMwy4YAxM7NM5BIwkg6XdL+kpyQ9Ken81H+opE5Jz6afh6R+SVoqqVvSWklHVqyrNY1/VlJrRf9RktalZZbKzy8ZFv3/mP3HblZcee3B9AB/EREzgFnAOZJmABcCqyJiOrAqtQHmAdPTZzFwNZQDCVgCfBKYCSzpC6U05qyK5VqG4XsVXkRUbZtZceQSMBGxKSJ+kaZ/DTwNTAYWAG1pWBtwSppeACyPsoeAcZImAicCnRGxJSJeBzqBljTv/RHxUJT/hltesS4zMxsGuZ+DkTQV+EPgYWBCRGxKs14GJqTpycCLFYttSH3V+jcM0G9mZsMk14CR9FvA7cCXIuLNynlpzyPz4yuSFkvqktS1efPmrDdnZlYYuQWMpLGUw+UHEXFH6n4lHd4i/Xw19W8EDq9YfErqq9Y/ZYD+3UTEsohojojm8ePHD+1LmZnZTnldRSbgOuDpiPifFbPagb4rwVqBOyv6F6WryWYBb6RDaSuAEyQdkk7unwCsSPPelDQrbWtRxbrMzGwYNOa03WOAPwPWSXos9f034HLgVklnAi8An03z7gZOArqB7cAZABGxRdLXgEfSuMsiYkuaPhu4ATgAuCd9zMxsmOQSMBHxILCnGyRmDzA+gHP2sK7rgesH6O8CPjaEMs3MbAhyv4rMzMxGJweMmZllwgFjZmaZcMCYmVkmHDBmZpYJB4yZmWXCAWNmZplwwJhZoZRKJc477zxKpVLepYx6DhgzK5S2tjbWrVvH8uXL8y5l1HPAmFlhlEolOjo6iAg6Ojq8F5MxB4yZFUZbWxs7duwAoLe313sxGXPAmFlhrFy5kp6eHgB6enro7OzMuaLRzQFjZoUxZ84cGhvLz/htbGxk7ty5OVc0ujlgzKwwWltbGTOm/NfemDFjWLRoUc4VjW4OGDMrjKamJiZNmgTApEmTaGpqyrmi0c0BY2aFUSqV2Lix/Pb0jRs3+iqyjDlgzKww2tradjnJ76vIsuWAMbPC6OzspPyCXIgI7r333pwrGt0cMGZWGBMmTKjatvpywJhZYbz88stV21ZfDhgzK4wPfOADVdtWXw4YMyuMTZs2VW1bfTlgzKwwxo4dW7Vt9eWAMbPC2LZtW9W21ZcDxswK48ADD6zatvpywJhZYWzfvr1q2+rLAWNmZplwwJiZWSYcMGZmlgkHjJmZZcIBY2ZmmXDAmJlZJhrzLiBLklqAbwINwLURcXnOJWXuqquuoru7O+8ydnH++efntu1p06Zx7rnn5rZ9syIbtXswkhqAbwPzgBnAQkkz8q3KzKw4RvMezEygOyKeA5B0M7AAeCqLjX3hC1/wg/P2IM89qu7ubjo6OnLbPsDEiRO59tprc61hX7Av7l1DfnvYRdi7Hs0BMxl4saK9AfhkVhvbunUrb731VlarH9GK/ueydevWvEvgqquuyj1ot2/fvvNtkvuSxx9/PJftrl27Nvf/JgAtLS2ZBd1oDpiaSFoMLAb44Ac/uNfr+dSnPrVP/Ots48aNvP3227nWUBkoBx10UI6VwAEHHMDkyZNzrWHatGm5bn9f0dDQwI4dO3KtYaDtjxmTz5mCvLY7nLQv/ouiHiQdDVwSESem9kUAEfGNPS3T3NwcXV1dw1Th6HXcccftnF69enVudZj1V/m72ce/o0MnaU1ENPfvH817MI8A0yUdAWwETgM+l29JxeD/YW1ftXr1av8DaBiN2oCJiB5JXwRWUL5M+fqIeDLnsszMCmPUBgxARNwN3J13HWa27/Bey/AZ/WeZzMwsFw4YMzPLhAPGzMwy4YAxM7NMOGDMzCwTo/ZGy70haTPwQt51jBKHAa/lXYTZHvj3s75+JyLG9+90wFgmJHUNdGev2b7Av5/Dw4fIzMwsEw4YMzPLhAPGsrIs7wLMqvDv5zDwORgzM8uE92DMzCwTDhgbEkktkp6R1C3pwgHm7y/pljT/YUlTcyjTCkjS9ZJelfTEHuZL0tL0u7lW0pHDXeNo54CxvSapAfg2MA+YASyUNKPfsDOB1yNiGnAlcMXwVmkFdgPQUmX+PGB6+iwGrh6GmgrFAWNDMRPojojnIuJd4GZgQb8xC4C2NH0bMFuShrFGK6iI+GdgS5UhC4DlUfYQME7SxOGprhgcMDYUk4EXK9obUt+AYyKiB3gDaBqW6syqq+X314bAAWNmZplwwNhQbAQOr2hPSX0DjpHUCBwMlIalOrPqavn9tSFwwNhQPAJMl3SEpP2A04D2fmPagdY0fSpwX/jmK9s3tAOL0tVks4A3ImJT3kWNJo15F2AjV0T0SPoisAJoAK6PiCclXQZ0RUQ7cB3wPUndlE+4npZfxVYkkm4CjgMOk7QBWAKMBYiIfwDuBk4CuoHtwBn5VDp6+U5+MzPLhA+RmZlZJhwwZmaWCQeMmZllwgFjZmaZcMCYmVkmHDBmZpYJB4xZBUk3SDo17zpqJel0Sd96j8ts20P/ZZLmpOnVkprT9N2SxqXP2UOv2orCAWNWR+kVBvVe57DcEB0RfxMRKwfoPykitgLjAAeM1cwBY4UmaVF62dTjkr6Xuv9I0s8kPde3NyPpOEk/qljuW5JOT9PrJV0h6RfAZ1L7Ukm/kLRO0keqbP8SSd+T9H8kPSvprIrtPSCpHXhK0vskfTet71FJf1yxmsPTHsezkpZUrPuHktZIelLS4n7bvTL1r5I0PvUNuPeWvs9hwOXA70l6TNL/kLRc0ikV434gqf/rGqzAHDBWWJI+ClwMHB8Rvw+cn2ZNBI4FPk35L9ValCLiyIi4ObVfi4gjKb/E6r8OsuwngOOBo4G/kTQp9R8JnB8RHwLOASIiPg4sBNokvS+Nmwn8SVrPZ/oObQH/KSKOApqB8yT1vSbhIMqP8vko8BPKj1CpxYXAv0TEH0TEVyg/Buh0AEkHA/8O+HGN67ICcMBYkR0P/GNEvAYQEX0vp/phROyIiKeACTWu65Z+7TvSzzXA1EGWvTMi3k513E85MAB+HhHPp+ljge+nOn8JvAB8KM3rjIhSRLydtnts6j9P0uPAQ5SfGjw99e+oqPf7FePfk4j4CeWHnY6nHHq3p3f+mAF+2KXZQN6pmO57+2YPu/6D7H3s6q09rKOXwf8/6/9AwL52/3XWvLyk44A5wNERsV3SanaveU/LvxfLgc9TfoipHxZpu/AejBXZfZQPKTUBSDq0ytgXgBmS9pc0DphdxzoWpHMsTZSf/vvIAGMeAP401fkh4IPAM2neXEmHSjoAOAX4KeX37ryewuUjwKyKdY2h/OoEgM8BD9ZY56+B3+7XdwPwJYC0x2e2k/dgrLDSqwX+FviJpF7g0SpjX5R0K/AE8Hy1sXthLeVDY4cBX4uIl1KIVPoOcLWkdZT3pk6PiHckAfwcuJ3yC7O+HxFdadx/kfQ05SB6qGJdbwEzJV0MvAr8x1qKjIiSpJ9KegK4JyK+EhGvpG38cO++uo1mfly/WY4kXQJsi4i/y7uWvSHpQGAdcGREvJF3PbZv8SEyM9sr6abMp4GrHC42EO/BmA0DSWfwm8ug+/w0Is7Jox6z4eCAMTOzTPgQmZmZZcIBY2ZmmXDAmJlZJhwwZmaWCQeMmZll4v8DLr/8SlcKYDgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data=train[['churn_probability','total_rech_8']],\n",
    "    x='churn_probability',\n",
    "    y='total_rech_8',\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='churn_probability', ylabel='spl_og_mou_8'>"
      ]
     },
     "execution_count": 350,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    data=train[['churn_probability','spl_og_mou_8']],\n",
    "    x='churn_probability',\n",
    "    y='spl_og_mou_8',\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---> We can see that a great amount of outliers present in the data, we must handle this before modeling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Handle outliers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we want to design a function that puts lower bound and uppper to any series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "metadata": {},
   "outputs": [],
   "source": [
    "def outlier_handler(series):\n",
    "    lower = series.quantile(0.1)\n",
    "    upper = series.quantile(0.9)\n",
    "    series.loc[series<lower] = lower\n",
    "    series.loc[series>upper] = upper\n",
    "    return series"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Apply the handler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 352,
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in train.columns:\n",
    "    if col != 'churn_probability':\n",
    "        train[col] = outlier_handler(train[col])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Re-check the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 353,
   "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>loc_og_t2o_mou</th>\n",
       "      <th>std_og_t2o_mou</th>\n",
       "      <th>loc_ic_t2o_mou</th>\n",
       "      <th>arpu_6</th>\n",
       "      <th>arpu_7</th>\n",
       "      <th>arpu_8</th>\n",
       "      <th>onnet_mou_6</th>\n",
       "      <th>onnet_mou_7</th>\n",
       "      <th>onnet_mou_8</th>\n",
       "      <th>offnet_mou_6</th>\n",
       "      <th>offnet_mou_7</th>\n",
       "      <th>offnet_mou_8</th>\n",
       "      <th>roam_ic_mou_6</th>\n",
       "      <th>roam_ic_mou_7</th>\n",
       "      <th>roam_ic_mou_8</th>\n",
       "      <th>roam_og_mou_6</th>\n",
       "      <th>roam_og_mou_7</th>\n",
       "      <th>roam_og_mou_8</th>\n",
       "      <th>loc_og_t2t_mou_6</th>\n",
       "      <th>loc_og_t2t_mou_7</th>\n",
       "      <th>loc_og_t2t_mou_8</th>\n",
       "      <th>loc_og_t2m_mou_6</th>\n",
       "      <th>loc_og_t2m_mou_7</th>\n",
       "      <th>loc_og_t2m_mou_8</th>\n",
       "      <th>loc_og_t2f_mou_6</th>\n",
       "      <th>loc_og_t2f_mou_7</th>\n",
       "      <th>loc_og_t2f_mou_8</th>\n",
       "      <th>loc_og_t2c_mou_6</th>\n",
       "      <th>loc_og_t2c_mou_7</th>\n",
       "      <th>loc_og_t2c_mou_8</th>\n",
       "      <th>loc_og_mou_6</th>\n",
       "      <th>loc_og_mou_7</th>\n",
       "      <th>loc_og_mou_8</th>\n",
       "      <th>std_og_t2t_mou_6</th>\n",
       "      <th>std_og_t2t_mou_7</th>\n",
       "      <th>std_og_t2t_mou_8</th>\n",
       "      <th>std_og_t2m_mou_6</th>\n",
       "      <th>std_og_t2m_mou_7</th>\n",
       "      <th>std_og_t2m_mou_8</th>\n",
       "      <th>std_og_t2f_mou_6</th>\n",
       "      <th>std_og_t2f_mou_7</th>\n",
       "      <th>std_og_t2f_mou_8</th>\n",
       "      <th>std_og_t2c_mou_6</th>\n",
       "      <th>std_og_t2c_mou_7</th>\n",
       "      <th>std_og_t2c_mou_8</th>\n",
       "      <th>std_og_mou_6</th>\n",
       "      <th>std_og_mou_7</th>\n",
       "      <th>std_og_mou_8</th>\n",
       "      <th>isd_og_mou_6</th>\n",
       "      <th>isd_og_mou_7</th>\n",
       "      <th>isd_og_mou_8</th>\n",
       "      <th>spl_og_mou_6</th>\n",
       "      <th>spl_og_mou_7</th>\n",
       "      <th>spl_og_mou_8</th>\n",
       "      <th>og_others_6</th>\n",
       "      <th>og_others_7</th>\n",
       "      <th>og_others_8</th>\n",
       "      <th>total_og_mou_6</th>\n",
       "      <th>total_og_mou_7</th>\n",
       "      <th>total_og_mou_8</th>\n",
       "      <th>loc_ic_t2t_mou_6</th>\n",
       "      <th>loc_ic_t2t_mou_7</th>\n",
       "      <th>loc_ic_t2t_mou_8</th>\n",
       "      <th>loc_ic_t2m_mou_6</th>\n",
       "      <th>loc_ic_t2m_mou_7</th>\n",
       "      <th>loc_ic_t2m_mou_8</th>\n",
       "      <th>loc_ic_t2f_mou_6</th>\n",
       "      <th>loc_ic_t2f_mou_7</th>\n",
       "      <th>loc_ic_t2f_mou_8</th>\n",
       "      <th>loc_ic_mou_6</th>\n",
       "      <th>loc_ic_mou_7</th>\n",
       "      <th>loc_ic_mou_8</th>\n",
       "      <th>std_ic_t2t_mou_6</th>\n",
       "      <th>std_ic_t2t_mou_7</th>\n",
       "      <th>std_ic_t2t_mou_8</th>\n",
       "      <th>std_ic_t2m_mou_6</th>\n",
       "      <th>std_ic_t2m_mou_7</th>\n",
       "      <th>std_ic_t2m_mou_8</th>\n",
       "      <th>std_ic_t2f_mou_6</th>\n",
       "      <th>std_ic_t2f_mou_7</th>\n",
       "      <th>std_ic_t2f_mou_8</th>\n",
       "      <th>std_ic_t2o_mou_6</th>\n",
       "      <th>std_ic_t2o_mou_7</th>\n",
       "      <th>std_ic_t2o_mou_8</th>\n",
       "      <th>std_ic_mou_6</th>\n",
       "      <th>std_ic_mou_7</th>\n",
       "      <th>std_ic_mou_8</th>\n",
       "      <th>total_ic_mou_6</th>\n",
       "      <th>total_ic_mou_7</th>\n",
       "      <th>total_ic_mou_8</th>\n",
       "      <th>spl_ic_mou_6</th>\n",
       "      <th>spl_ic_mou_7</th>\n",
       "      <th>spl_ic_mou_8</th>\n",
       "      <th>isd_ic_mou_6</th>\n",
       "      <th>isd_ic_mou_7</th>\n",
       "      <th>isd_ic_mou_8</th>\n",
       "      <th>ic_others_6</th>\n",
       "      <th>ic_others_7</th>\n",
       "      <th>ic_others_8</th>\n",
       "      <th>total_rech_num_6</th>\n",
       "      <th>total_rech_num_7</th>\n",
       "      <th>total_rech_num_8</th>\n",
       "      <th>total_rech_amt_6</th>\n",
       "      <th>total_rech_amt_7</th>\n",
       "      <th>total_rech_amt_8</th>\n",
       "      <th>max_rech_amt_6</th>\n",
       "      <th>max_rech_amt_7</th>\n",
       "      <th>max_rech_amt_8</th>\n",
       "      <th>last_day_rch_amt_6</th>\n",
       "      <th>last_day_rch_amt_7</th>\n",
       "      <th>last_day_rch_amt_8</th>\n",
       "      <th>total_rech_data_6</th>\n",
       "      <th>total_rech_data_7</th>\n",
       "      <th>total_rech_data_8</th>\n",
       "      <th>max_rech_data_6</th>\n",
       "      <th>max_rech_data_7</th>\n",
       "      <th>max_rech_data_8</th>\n",
       "      <th>count_rech_2g_6</th>\n",
       "      <th>count_rech_2g_7</th>\n",
       "      <th>count_rech_2g_8</th>\n",
       "      <th>count_rech_3g_6</th>\n",
       "      <th>count_rech_3g_7</th>\n",
       "      <th>count_rech_3g_8</th>\n",
       "      <th>av_rech_amt_data_6</th>\n",
       "      <th>av_rech_amt_data_7</th>\n",
       "      <th>av_rech_amt_data_8</th>\n",
       "      <th>vol_2g_mb_6</th>\n",
       "      <th>vol_2g_mb_7</th>\n",
       "      <th>vol_2g_mb_8</th>\n",
       "      <th>vol_3g_mb_6</th>\n",
       "      <th>vol_3g_mb_7</th>\n",
       "      <th>vol_3g_mb_8</th>\n",
       "      <th>arpu_3g_6</th>\n",
       "      <th>arpu_3g_7</th>\n",
       "      <th>arpu_3g_8</th>\n",
       "      <th>arpu_2g_6</th>\n",
       "      <th>arpu_2g_7</th>\n",
       "      <th>arpu_2g_8</th>\n",
       "      <th>monthly_2g_6</th>\n",
       "      <th>monthly_2g_7</th>\n",
       "      <th>monthly_2g_8</th>\n",
       "      <th>sachet_2g_6</th>\n",
       "      <th>sachet_2g_7</th>\n",
       "      <th>sachet_2g_8</th>\n",
       "      <th>monthly_3g_6</th>\n",
       "      <th>monthly_3g_7</th>\n",
       "      <th>monthly_3g_8</th>\n",
       "      <th>sachet_3g_6</th>\n",
       "      <th>sachet_3g_7</th>\n",
       "      <th>sachet_3g_8</th>\n",
       "      <th>aon</th>\n",
       "      <th>aug_vbc_3g</th>\n",
       "      <th>jul_vbc_3g</th>\n",
       "      <th>jun_vbc_3g</th>\n",
       "      <th>churn_probability</th>\n",
       "      <th>total_data_rech_6</th>\n",
       "      <th>total_data_rech_7</th>\n",
       "      <th>total_data_rech_8</th>\n",
       "      <th>total_rech_6</th>\n",
       "      <th>total_rech_7</th>\n",
       "      <th>total_rech_8</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.0</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "      <td>69999.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>250.289402</td>\n",
       "      <td>244.912319</td>\n",
       "      <td>243.863179</td>\n",
       "      <td>82.082000</td>\n",
       "      <td>81.192131</td>\n",
       "      <td>78.870059</td>\n",
       "      <td>147.826044</td>\n",
       "      <td>145.419904</td>\n",
       "      <td>143.026155</td>\n",
       "      <td>1.450921</td>\n",
       "      <td>0.527449</td>\n",
       "      <td>0.505555</td>\n",
       "      <td>2.772972</td>\n",
       "      <td>1.014192</td>\n",
       "      <td>0.880500</td>\n",
       "      <td>26.219767</td>\n",
       "      <td>25.518228</td>\n",
       "      <td>25.123615</td>\n",
       "      <td>68.040670</td>\n",
       "      <td>66.540738</td>\n",
       "      <td>66.091307</td>\n",
       "      <td>1.712895</td>\n",
       "      <td>1.719093</td>\n",
       "      <td>1.625931</td>\n",
       "      <td>0.304365</td>\n",
       "      <td>0.390748</td>\n",
       "      <td>0.438591</td>\n",
       "      <td>104.788809</td>\n",
       "      <td>102.373865</td>\n",
       "      <td>101.012724</td>\n",
       "      <td>35.205913</td>\n",
       "      <td>36.507941</td>\n",
       "      <td>35.374621</td>\n",
       "      <td>44.180814</td>\n",
       "      <td>45.796333</td>\n",
       "      <td>44.261146</td>\n",
       "      <td>0.059961</td>\n",
       "      <td>0.034401</td>\n",
       "      <td>0.031246</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>106.144688</td>\n",
       "      <td>110.886311</td>\n",
       "      <td>107.348248</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.952468</td>\n",
       "      <td>2.548930</td>\n",
       "      <td>2.648149</td>\n",
       "      <td>0.160967</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>245.064090</td>\n",
       "      <td>248.022505</td>\n",
       "      <td>242.508602</td>\n",
       "      <td>29.216631</td>\n",
       "      <td>28.919535</td>\n",
       "      <td>28.428131</td>\n",
       "      <td>81.289707</td>\n",
       "      <td>81.298955</td>\n",
       "      <td>81.249978</td>\n",
       "      <td>6.001055</td>\n",
       "      <td>6.058358</td>\n",
       "      <td>5.653468</td>\n",
       "      <td>128.529912</td>\n",
       "      <td>128.273793</td>\n",
       "      <td>126.804516</td>\n",
       "      <td>3.517162</td>\n",
       "      <td>3.630933</td>\n",
       "      <td>3.475591</td>\n",
       "      <td>10.108319</td>\n",
       "      <td>10.593352</td>\n",
       "      <td>10.163160</td>\n",
       "      <td>0.347773</td>\n",
       "      <td>0.356556</td>\n",
       "      <td>0.350836</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.492199</td>\n",
       "      <td>18.181610</td>\n",
       "      <td>17.447513</td>\n",
       "      <td>162.625850</td>\n",
       "      <td>163.801031</td>\n",
       "      <td>161.549177</td>\n",
       "      <td>0.041229</td>\n",
       "      <td>0.005262</td>\n",
       "      <td>0.011088</td>\n",
       "      <td>0.480297</td>\n",
       "      <td>0.695328</td>\n",
       "      <td>0.621327</td>\n",
       "      <td>0.085462</td>\n",
       "      <td>0.098849</td>\n",
       "      <td>0.099032</td>\n",
       "      <td>6.783454</td>\n",
       "      <td>6.888027</td>\n",
       "      <td>6.386120</td>\n",
       "      <td>285.605666</td>\n",
       "      <td>279.413334</td>\n",
       "      <td>280.845898</td>\n",
       "      <td>89.275590</td>\n",
       "      <td>88.781425</td>\n",
       "      <td>94.174302</td>\n",
       "      <td>50.589494</td>\n",
       "      <td>47.184303</td>\n",
       "      <td>50.948885</td>\n",
       "      <td>0.369248</td>\n",
       "      <td>0.383291</td>\n",
       "      <td>0.393234</td>\n",
       "      <td>25.231246</td>\n",
       "      <td>25.547822</td>\n",
       "      <td>25.845926</td>\n",
       "      <td>0.191760</td>\n",
       "      <td>0.197760</td>\n",
       "      <td>0.202489</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32.560694</td>\n",
       "      <td>35.482746</td>\n",
       "      <td>36.028156</td>\n",
       "      <td>13.925060</td>\n",
       "      <td>13.191889</td>\n",
       "      <td>12.678222</td>\n",
       "      <td>35.939976</td>\n",
       "      <td>40.997468</td>\n",
       "      <td>46.789379</td>\n",
       "      <td>2.406869</td>\n",
       "      <td>2.397958</td>\n",
       "      <td>3.166841</td>\n",
       "      <td>4.316691</td>\n",
       "      <td>4.070227</td>\n",
       "      <td>4.535707</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.128816</td>\n",
       "      <td>0.133173</td>\n",
       "      <td>0.140731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1186.574151</td>\n",
       "      <td>20.098591</td>\n",
       "      <td>16.702236</td>\n",
       "      <td>13.172112</td>\n",
       "      <td>0.101887</td>\n",
       "      <td>44.813569</td>\n",
       "      <td>54.155059</td>\n",
       "      <td>57.133856</td>\n",
       "      <td>366.507326</td>\n",
       "      <td>368.921856</td>\n",
       "      <td>370.160200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>189.227080</td>\n",
       "      <td>189.222458</td>\n",
       "      <td>192.167531</td>\n",
       "      <td>107.658478</td>\n",
       "      <td>108.604698</td>\n",
       "      <td>106.071818</td>\n",
       "      <td>150.859298</td>\n",
       "      <td>151.604405</td>\n",
       "      <td>151.639427</td>\n",
       "      <td>3.465066</td>\n",
       "      <td>1.373739</td>\n",
       "      <td>1.332105</td>\n",
       "      <td>6.646467</td>\n",
       "      <td>2.667889</td>\n",
       "      <td>2.345963</td>\n",
       "      <td>33.281991</td>\n",
       "      <td>32.303644</td>\n",
       "      <td>32.035208</td>\n",
       "      <td>74.994583</td>\n",
       "      <td>73.060815</td>\n",
       "      <td>73.644734</td>\n",
       "      <td>3.034086</td>\n",
       "      <td>3.040960</td>\n",
       "      <td>2.896379</td>\n",
       "      <td>0.724113</td>\n",
       "      <td>0.907043</td>\n",
       "      <td>1.004496</td>\n",
       "      <td>113.427576</td>\n",
       "      <td>110.384570</td>\n",
       "      <td>110.276487</td>\n",
       "      <td>66.976885</td>\n",
       "      <td>69.680609</td>\n",
       "      <td>68.346770</td>\n",
       "      <td>74.489179</td>\n",
       "      <td>77.999945</td>\n",
       "      <td>76.487450</td>\n",
       "      <td>0.168883</td>\n",
       "      <td>0.100113</td>\n",
       "      <td>0.091029</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>171.234028</td>\n",
       "      <td>180.146729</td>\n",
       "      <td>176.555966</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.428676</td>\n",
       "      <td>4.225166</td>\n",
       "      <td>4.350377</td>\n",
       "      <td>0.382950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>255.026441</td>\n",
       "      <td>262.366543</td>\n",
       "      <td>259.186392</td>\n",
       "      <td>34.324856</td>\n",
       "      <td>33.743317</td>\n",
       "      <td>33.301790</td>\n",
       "      <td>81.296241</td>\n",
       "      <td>80.212249</td>\n",
       "      <td>80.956508</td>\n",
       "      <td>9.563607</td>\n",
       "      <td>9.645374</td>\n",
       "      <td>8.945142</td>\n",
       "      <td>124.767796</td>\n",
       "      <td>122.955832</td>\n",
       "      <td>122.739914</td>\n",
       "      <td>6.340421</td>\n",
       "      <td>6.529882</td>\n",
       "      <td>6.316298</td>\n",
       "      <td>15.238363</td>\n",
       "      <td>15.957037</td>\n",
       "      <td>15.460712</td>\n",
       "      <td>0.801166</td>\n",
       "      <td>0.820065</td>\n",
       "      <td>0.803314</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.243926</td>\n",
       "      <td>25.148488</td>\n",
       "      <td>24.375121</td>\n",
       "      <td>150.139638</td>\n",
       "      <td>149.574444</td>\n",
       "      <td>149.374513</td>\n",
       "      <td>0.087177</td>\n",
       "      <td>0.015295</td>\n",
       "      <td>0.030923</td>\n",
       "      <td>1.278404</td>\n",
       "      <td>1.804115</td>\n",
       "      <td>1.639300</td>\n",
       "      <td>0.184828</td>\n",
       "      <td>0.228638</td>\n",
       "      <td>0.219620</td>\n",
       "      <td>4.207909</td>\n",
       "      <td>4.202312</td>\n",
       "      <td>4.442839</td>\n",
       "      <td>231.983913</td>\n",
       "      <td>231.971761</td>\n",
       "      <td>235.113353</td>\n",
       "      <td>62.467679</td>\n",
       "      <td>64.039226</td>\n",
       "      <td>72.098797</td>\n",
       "      <td>48.685520</td>\n",
       "      <td>50.041127</td>\n",
       "      <td>56.733352</td>\n",
       "      <td>0.685169</td>\n",
       "      <td>0.701807</td>\n",
       "      <td>0.706307</td>\n",
       "      <td>52.987330</td>\n",
       "      <td>53.231361</td>\n",
       "      <td>53.326946</td>\n",
       "      <td>0.393688</td>\n",
       "      <td>0.398313</td>\n",
       "      <td>0.401857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>63.402877</td>\n",
       "      <td>68.291196</td>\n",
       "      <td>68.787376</td>\n",
       "      <td>32.879008</td>\n",
       "      <td>30.995426</td>\n",
       "      <td>29.684800</td>\n",
       "      <td>94.720752</td>\n",
       "      <td>105.693657</td>\n",
       "      <td>118.372342</td>\n",
       "      <td>6.724742</td>\n",
       "      <td>6.703726</td>\n",
       "      <td>8.664112</td>\n",
       "      <td>11.215143</td>\n",
       "      <td>10.646678</td>\n",
       "      <td>11.718544</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.334999</td>\n",
       "      <td>0.339764</td>\n",
       "      <td>0.347746</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>864.446669</td>\n",
       "      <td>50.700161</td>\n",
       "      <td>42.798662</td>\n",
       "      <td>34.495091</td>\n",
       "      <td>0.302502</td>\n",
       "      <td>87.561262</td>\n",
       "      <td>106.927427</td>\n",
       "      <td>112.737431</td>\n",
       "      <td>324.920108</td>\n",
       "      <td>337.859792</td>\n",
       "      <td>340.673886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32.248600</td>\n",
       "      <td>29.761200</td>\n",
       "      <td>18.210600</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.030000</td>\n",
       "      <td>1.800000</td>\n",
       "      <td>0.280000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.298000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.360000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.760000</td>\n",
       "      <td>1.350000</td>\n",
       "      <td>0.260000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.160000</td>\n",
       "      <td>3.190000</td>\n",
       "      <td>0.960000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>286.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>93.581000</td>\n",
       "      <td>86.714000</td>\n",
       "      <td>84.095000</td>\n",
       "      <td>5.430000</td>\n",
       "      <td>4.910000</td>\n",
       "      <td>4.110000</td>\n",
       "      <td>28.790000</td>\n",
       "      <td>26.690000</td>\n",
       "      <td>23.780000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.010000</td>\n",
       "      <td>1.010000</td>\n",
       "      <td>0.760000</td>\n",
       "      <td>7.290000</td>\n",
       "      <td>7.530000</td>\n",
       "      <td>6.440000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12.960000</td>\n",
       "      <td>13.560000</td>\n",
       "      <td>11.660000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.780000</td>\n",
       "      <td>42.910000</td>\n",
       "      <td>38.710000</td>\n",
       "      <td>2.110000</td>\n",
       "      <td>2.340000</td>\n",
       "      <td>2.030000</td>\n",
       "      <td>13.860000</td>\n",
       "      <td>15.080000</td>\n",
       "      <td>13.830000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>24.860000</td>\n",
       "      <td>26.960000</td>\n",
       "      <td>24.830000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>38.640000</td>\n",
       "      <td>41.340000</td>\n",
       "      <td>38.290000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>468.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>197.484000</td>\n",
       "      <td>191.588000</td>\n",
       "      <td>192.234000</td>\n",
       "      <td>30.830000</td>\n",
       "      <td>29.160000</td>\n",
       "      <td>27.840000</td>\n",
       "      <td>89.810000</td>\n",
       "      <td>85.590000</td>\n",
       "      <td>83.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.660000</td>\n",
       "      <td>10.430000</td>\n",
       "      <td>10.060000</td>\n",
       "      <td>37.680000</td>\n",
       "      <td>37.010000</td>\n",
       "      <td>35.940000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>59.990000</td>\n",
       "      <td>58.590000</td>\n",
       "      <td>57.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.910000</td>\n",
       "      <td>2.680000</td>\n",
       "      <td>2.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.250000</td>\n",
       "      <td>8.730000</td>\n",
       "      <td>7.310000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>145.280000</td>\n",
       "      <td>141.230000</td>\n",
       "      <td>138.360000</td>\n",
       "      <td>14.240000</td>\n",
       "      <td>14.410000</td>\n",
       "      <td>14.080000</td>\n",
       "      <td>52.290000</td>\n",
       "      <td>53.190000</td>\n",
       "      <td>52.730000</td>\n",
       "      <td>0.660000</td>\n",
       "      <td>0.710000</td>\n",
       "      <td>0.660000</td>\n",
       "      <td>86.310000</td>\n",
       "      <td>86.610000</td>\n",
       "      <td>85.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.590000</td>\n",
       "      <td>1.630000</td>\n",
       "      <td>1.440000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.030000</td>\n",
       "      <td>5.080000</td>\n",
       "      <td>4.680000</td>\n",
       "      <td>114.780000</td>\n",
       "      <td>116.330000</td>\n",
       "      <td>114.610000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>229.000000</td>\n",
       "      <td>220.000000</td>\n",
       "      <td>225.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>868.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>266.000000</td>\n",
       "      <td>259.000000</td>\n",
       "      <td>262.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>370.791000</td>\n",
       "      <td>365.369500</td>\n",
       "      <td>369.909000</td>\n",
       "      <td>113.100000</td>\n",
       "      <td>108.940000</td>\n",
       "      <td>106.280000</td>\n",
       "      <td>223.540000</td>\n",
       "      <td>218.350000</td>\n",
       "      <td>216.410000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>38.680000</td>\n",
       "      <td>37.780000</td>\n",
       "      <td>37.260000</td>\n",
       "      <td>105.685000</td>\n",
       "      <td>103.330000</td>\n",
       "      <td>103.110000</td>\n",
       "      <td>1.860000</td>\n",
       "      <td>1.880000</td>\n",
       "      <td>1.760000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>161.485000</td>\n",
       "      <td>157.740000</td>\n",
       "      <td>156.980000</td>\n",
       "      <td>27.160000</td>\n",
       "      <td>27.435000</td>\n",
       "      <td>25.070000</td>\n",
       "      <td>49.150000</td>\n",
       "      <td>50.060000</td>\n",
       "      <td>46.160000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>133.890000</td>\n",
       "      <td>137.780000</td>\n",
       "      <td>130.665000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.150000</td>\n",
       "      <td>3.310000</td>\n",
       "      <td>3.540000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>374.305000</td>\n",
       "      <td>380.045000</td>\n",
       "      <td>370.895000</td>\n",
       "      <td>44.760000</td>\n",
       "      <td>43.810000</td>\n",
       "      <td>43.560000</td>\n",
       "      <td>127.280000</td>\n",
       "      <td>126.610000</td>\n",
       "      <td>127.800000</td>\n",
       "      <td>7.530000</td>\n",
       "      <td>7.590000</td>\n",
       "      <td>7.260000</td>\n",
       "      <td>200.690000</td>\n",
       "      <td>198.410000</td>\n",
       "      <td>198.000000</td>\n",
       "      <td>3.610000</td>\n",
       "      <td>3.760000</td>\n",
       "      <td>3.430000</td>\n",
       "      <td>13.940000</td>\n",
       "      <td>14.860000</td>\n",
       "      <td>13.960000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.240000</td>\n",
       "      <td>26.560000</td>\n",
       "      <td>25.510000</td>\n",
       "      <td>251.070000</td>\n",
       "      <td>249.470000</td>\n",
       "      <td>249.710000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>438.000000</td>\n",
       "      <td>430.000000</td>\n",
       "      <td>436.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1813.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>550.000000</td>\n",
       "      <td>550.000000</td>\n",
       "      <td>558.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>619.993800</td>\n",
       "      <td>615.661400</td>\n",
       "      <td>614.994600</td>\n",
       "      <td>331.766000</td>\n",
       "      <td>334.886000</td>\n",
       "      <td>326.298000</td>\n",
       "      <td>468.898000</td>\n",
       "      <td>470.054000</td>\n",
       "      <td>467.636000</td>\n",
       "      <td>10.890000</td>\n",
       "      <td>4.392000</td>\n",
       "      <td>4.280000</td>\n",
       "      <td>20.864000</td>\n",
       "      <td>8.560000</td>\n",
       "      <td>7.552000</td>\n",
       "      <td>101.114000</td>\n",
       "      <td>98.110000</td>\n",
       "      <td>97.230000</td>\n",
       "      <td>227.686000</td>\n",
       "      <td>221.760000</td>\n",
       "      <td>223.132000</td>\n",
       "      <td>9.130000</td>\n",
       "      <td>9.164000</td>\n",
       "      <td>8.730000</td>\n",
       "      <td>2.252000</td>\n",
       "      <td>2.810000</td>\n",
       "      <td>3.110000</td>\n",
       "      <td>346.314000</td>\n",
       "      <td>337.130000</td>\n",
       "      <td>335.660000</td>\n",
       "      <td>204.840000</td>\n",
       "      <td>212.976000</td>\n",
       "      <td>209.376000</td>\n",
       "      <td>226.130000</td>\n",
       "      <td>236.964000</td>\n",
       "      <td>232.998000</td>\n",
       "      <td>0.550000</td>\n",
       "      <td>0.330000</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>511.176000</td>\n",
       "      <td>537.254000</td>\n",
       "      <td>526.412000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.230000</td>\n",
       "      <td>12.530000</td>\n",
       "      <td>12.910000</td>\n",
       "      <td>1.180000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>785.230000</td>\n",
       "      <td>806.250000</td>\n",
       "      <td>792.858000</td>\n",
       "      <td>104.294000</td>\n",
       "      <td>102.848000</td>\n",
       "      <td>100.914000</td>\n",
       "      <td>248.382000</td>\n",
       "      <td>246.194000</td>\n",
       "      <td>247.110000</td>\n",
       "      <td>28.844000</td>\n",
       "      <td>29.180000</td>\n",
       "      <td>26.944000</td>\n",
       "      <td>383.174000</td>\n",
       "      <td>379.632000</td>\n",
       "      <td>377.030000</td>\n",
       "      <td>19.080000</td>\n",
       "      <td>19.660000</td>\n",
       "      <td>19.030000</td>\n",
       "      <td>45.810000</td>\n",
       "      <td>47.840000</td>\n",
       "      <td>46.286000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>2.560000</td>\n",
       "      <td>2.502000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>73.030000</td>\n",
       "      <td>75.482000</td>\n",
       "      <td>73.030000</td>\n",
       "      <td>467.030000</td>\n",
       "      <td>468.524000</td>\n",
       "      <td>464.508000</td>\n",
       "      <td>0.260000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>4.130000</td>\n",
       "      <td>5.780000</td>\n",
       "      <td>5.280000</td>\n",
       "      <td>0.560000</td>\n",
       "      <td>0.710000</td>\n",
       "      <td>0.680000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>735.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>734.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>225.000000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>154.000000</td>\n",
       "      <td>154.000000</td>\n",
       "      <td>154.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>179.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>196.000000</td>\n",
       "      <td>103.514000</td>\n",
       "      <td>97.410000</td>\n",
       "      <td>93.290000</td>\n",
       "      <td>302.810000</td>\n",
       "      <td>335.372000</td>\n",
       "      <td>372.540000</td>\n",
       "      <td>21.910000</td>\n",
       "      <td>21.910000</td>\n",
       "      <td>28.102000</td>\n",
       "      <td>36.002000</td>\n",
       "      <td>34.350000</td>\n",
       "      <td>37.528000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2792.000000</td>\n",
       "      <td>160.444000</td>\n",
       "      <td>136.272000</td>\n",
       "      <td>110.328000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>252.000000</td>\n",
       "      <td>321.600000</td>\n",
       "      <td>342.000000</td>\n",
       "      <td>1027.000000</td>\n",
       "      <td>1062.000000</td>\n",
       "      <td>1065.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       loc_og_t2o_mou  std_og_t2o_mou  loc_ic_t2o_mou        arpu_6  \\\n",
       "count         69999.0         69999.0         69999.0  69999.000000   \n",
       "mean              0.0             0.0             0.0    250.289402   \n",
       "std               0.0             0.0             0.0    189.227080   \n",
       "min               0.0             0.0             0.0     32.248600   \n",
       "25%               0.0             0.0             0.0     93.581000   \n",
       "50%               0.0             0.0             0.0    197.484000   \n",
       "75%               0.0             0.0             0.0    370.791000   \n",
       "max               0.0             0.0             0.0    619.993800   \n",
       "\n",
       "             arpu_7        arpu_8   onnet_mou_6   onnet_mou_7   onnet_mou_8  \\\n",
       "count  69999.000000  69999.000000  69999.000000  69999.000000  69999.000000   \n",
       "mean     244.912319    243.863179     82.082000     81.192131     78.870059   \n",
       "std      189.222458    192.167531    107.658478    108.604698    106.071818   \n",
       "min       29.761200     18.210600      0.000000      0.000000      0.000000   \n",
       "25%       86.714000     84.095000      5.430000      4.910000      4.110000   \n",
       "50%      191.588000    192.234000     30.830000     29.160000     27.840000   \n",
       "75%      365.369500    369.909000    113.100000    108.940000    106.280000   \n",
       "max      615.661400    614.994600    331.766000    334.886000    326.298000   \n",
       "\n",
       "       offnet_mou_6  offnet_mou_7  offnet_mou_8  roam_ic_mou_6  roam_ic_mou_7  \\\n",
       "count  69999.000000  69999.000000  69999.000000   69999.000000   69999.000000   \n",
       "mean     147.826044    145.419904    143.026155       1.450921       0.527449   \n",
       "std      150.859298    151.604405    151.639427       3.465066       1.373739   \n",
       "min        2.030000      1.800000      0.280000       0.000000       0.000000   \n",
       "25%       28.790000     26.690000     23.780000       0.000000       0.000000   \n",
       "50%       89.810000     85.590000     83.010000       0.000000       0.000000   \n",
       "75%      223.540000    218.350000    216.410000       0.000000       0.000000   \n",
       "max      468.898000    470.054000    467.636000      10.890000       4.392000   \n",
       "\n",
       "       roam_ic_mou_8  roam_og_mou_6  roam_og_mou_7  roam_og_mou_8  \\\n",
       "count   69999.000000   69999.000000   69999.000000   69999.000000   \n",
       "mean        0.505555       2.772972       1.014192       0.880500   \n",
       "std         1.332105       6.646467       2.667889       2.345963   \n",
       "min         0.000000       0.000000       0.000000       0.000000   \n",
       "25%         0.000000       0.000000       0.000000       0.000000   \n",
       "50%         0.000000       0.000000       0.000000       0.000000   \n",
       "75%         0.000000       0.000000       0.000000       0.000000   \n",
       "max         4.280000      20.864000       8.560000       7.552000   \n",
       "\n",
       "       loc_og_t2t_mou_6  loc_og_t2t_mou_7  loc_og_t2t_mou_8  loc_og_t2m_mou_6  \\\n",
       "count      69999.000000      69999.000000      69999.000000      69999.000000   \n",
       "mean          26.219767         25.518228         25.123615         68.040670   \n",
       "std           33.281991         32.303644         32.035208         74.994583   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            1.010000          1.010000          0.760000          7.290000   \n",
       "50%           10.660000         10.430000         10.060000         37.680000   \n",
       "75%           38.680000         37.780000         37.260000        105.685000   \n",
       "max          101.114000         98.110000         97.230000        227.686000   \n",
       "\n",
       "       loc_og_t2m_mou_7  loc_og_t2m_mou_8  loc_og_t2f_mou_6  loc_og_t2f_mou_7  \\\n",
       "count      69999.000000      69999.000000      69999.000000      69999.000000   \n",
       "mean          66.540738         66.091307          1.712895          1.719093   \n",
       "std           73.060815         73.644734          3.034086          3.040960   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            7.530000          6.440000          0.000000          0.000000   \n",
       "50%           37.010000         35.940000          0.000000          0.000000   \n",
       "75%          103.330000        103.110000          1.860000          1.880000   \n",
       "max          221.760000        223.132000          9.130000          9.164000   \n",
       "\n",
       "       loc_og_t2f_mou_8  loc_og_t2c_mou_6  loc_og_t2c_mou_7  loc_og_t2c_mou_8  \\\n",
       "count      69999.000000      69999.000000      69999.000000      69999.000000   \n",
       "mean           1.625931          0.304365          0.390748          0.438591   \n",
       "std            2.896379          0.724113          0.907043          1.004496   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            0.000000          0.000000          0.000000          0.000000   \n",
       "50%            0.000000          0.000000          0.000000          0.000000   \n",
       "75%            1.760000          0.000000          0.000000          0.000000   \n",
       "max            8.730000          2.252000          2.810000          3.110000   \n",
       "\n",
       "       loc_og_mou_6  loc_og_mou_7  loc_og_mou_8  std_og_t2t_mou_6  \\\n",
       "count  69999.000000  69999.000000  69999.000000      69999.000000   \n",
       "mean     104.788809    102.373865    101.012724         35.205913   \n",
       "std      113.427576    110.384570    110.276487         66.976885   \n",
       "min        0.000000      0.000000      0.000000          0.000000   \n",
       "25%       12.960000     13.560000     11.660000          0.000000   \n",
       "50%       59.990000     58.590000     57.010000          0.000000   \n",
       "75%      161.485000    157.740000    156.980000         27.160000   \n",
       "max      346.314000    337.130000    335.660000        204.840000   \n",
       "\n",
       "       std_og_t2t_mou_7  std_og_t2t_mou_8  std_og_t2m_mou_6  std_og_t2m_mou_7  \\\n",
       "count      69999.000000      69999.000000      69999.000000      69999.000000   \n",
       "mean          36.507941         35.374621         44.180814         45.796333   \n",
       "std           69.680609         68.346770         74.489179         77.999945   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            0.000000          0.000000          0.000000          0.000000   \n",
       "50%            0.000000          0.000000          2.910000          2.680000   \n",
       "75%           27.435000         25.070000         49.150000         50.060000   \n",
       "max          212.976000        209.376000        226.130000        236.964000   \n",
       "\n",
       "       std_og_t2m_mou_8  std_og_t2f_mou_6  std_og_t2f_mou_7  std_og_t2f_mou_8  \\\n",
       "count      69999.000000      69999.000000      69999.000000      69999.000000   \n",
       "mean          44.261146          0.059961          0.034401          0.031246   \n",
       "std           76.487450          0.168883          0.100113          0.091029   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            0.000000          0.000000          0.000000          0.000000   \n",
       "50%            2.030000          0.000000          0.000000          0.000000   \n",
       "75%           46.160000          0.000000          0.000000          0.000000   \n",
       "max          232.998000          0.550000          0.330000          0.300000   \n",
       "\n",
       "       std_og_t2c_mou_6  std_og_t2c_mou_7  std_og_t2c_mou_8  std_og_mou_6  \\\n",
       "count           69999.0           69999.0           69999.0  69999.000000   \n",
       "mean                0.0               0.0               0.0    106.144688   \n",
       "std                 0.0               0.0               0.0    171.234028   \n",
       "min                 0.0               0.0               0.0      0.000000   \n",
       "25%                 0.0               0.0               0.0      0.000000   \n",
       "50%                 0.0               0.0               0.0      9.250000   \n",
       "75%                 0.0               0.0               0.0    133.890000   \n",
       "max                 0.0               0.0               0.0    511.176000   \n",
       "\n",
       "       std_og_mou_7  std_og_mou_8  isd_og_mou_6  isd_og_mou_7  isd_og_mou_8  \\\n",
       "count  69999.000000  69999.000000       69999.0       69999.0       69999.0   \n",
       "mean     110.886311    107.348248           0.0           0.0           0.0   \n",
       "std      180.146729    176.555966           0.0           0.0           0.0   \n",
       "min        0.000000      0.000000           0.0           0.0           0.0   \n",
       "25%        0.000000      0.000000           0.0           0.0           0.0   \n",
       "50%        8.730000      7.310000           0.0           0.0           0.0   \n",
       "75%      137.780000    130.665000           0.0           0.0           0.0   \n",
       "max      537.254000    526.412000           0.0           0.0           0.0   \n",
       "\n",
       "       spl_og_mou_6  spl_og_mou_7  spl_og_mou_8   og_others_6  og_others_7  \\\n",
       "count  69999.000000  69999.000000  69999.000000  69999.000000      69999.0   \n",
       "mean       1.952468      2.548930      2.648149      0.160967          0.0   \n",
       "std        3.428676      4.225166      4.350377      0.382950          0.0   \n",
       "min        0.000000      0.000000      0.000000      0.000000          0.0   \n",
       "25%        0.000000      0.000000      0.000000      0.000000          0.0   \n",
       "50%        0.000000      0.000000      0.000000      0.000000          0.0   \n",
       "75%        2.150000      3.310000      3.540000      0.000000          0.0   \n",
       "max       10.230000     12.530000     12.910000      1.180000          0.0   \n",
       "\n",
       "       og_others_8  total_og_mou_6  total_og_mou_7  total_og_mou_8  \\\n",
       "count      69999.0    69999.000000    69999.000000    69999.000000   \n",
       "mean           0.0      245.064090      248.022505      242.508602   \n",
       "std            0.0      255.026441      262.366543      259.186392   \n",
       "min            0.0        0.000000        0.298000        0.000000   \n",
       "25%            0.0       44.780000       42.910000       38.710000   \n",
       "50%            0.0      145.280000      141.230000      138.360000   \n",
       "75%            0.0      374.305000      380.045000      370.895000   \n",
       "max            0.0      785.230000      806.250000      792.858000   \n",
       "\n",
       "       loc_ic_t2t_mou_6  loc_ic_t2t_mou_7  loc_ic_t2t_mou_8  loc_ic_t2m_mou_6  \\\n",
       "count      69999.000000      69999.000000      69999.000000      69999.000000   \n",
       "mean          29.216631         28.919535         28.428131         81.289707   \n",
       "std           34.324856         33.743317         33.301790         81.296241   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            2.110000          2.340000          2.030000         13.860000   \n",
       "50%           14.240000         14.410000         14.080000         52.290000   \n",
       "75%           44.760000         43.810000         43.560000        127.280000   \n",
       "max          104.294000        102.848000        100.914000        248.382000   \n",
       "\n",
       "       loc_ic_t2m_mou_7  loc_ic_t2m_mou_8  loc_ic_t2f_mou_6  loc_ic_t2f_mou_7  \\\n",
       "count      69999.000000      69999.000000      69999.000000      69999.000000   \n",
       "mean          81.298955         81.249978          6.001055          6.058358   \n",
       "std           80.212249         80.956508          9.563607          9.645374   \n",
       "min            0.360000          0.000000          0.000000          0.000000   \n",
       "25%           15.080000         13.830000          0.000000          0.000000   \n",
       "50%           53.190000         52.730000          0.660000          0.710000   \n",
       "75%          126.610000        127.800000          7.530000          7.590000   \n",
       "max          246.194000        247.110000         28.844000         29.180000   \n",
       "\n",
       "       loc_ic_t2f_mou_8  loc_ic_mou_6  loc_ic_mou_7  loc_ic_mou_8  \\\n",
       "count      69999.000000  69999.000000  69999.000000  69999.000000   \n",
       "mean           5.653468    128.529912    128.273793    126.804516   \n",
       "std            8.945142    124.767796    122.955832    122.739914   \n",
       "min            0.000000      0.760000      1.350000      0.260000   \n",
       "25%            0.000000     24.860000     26.960000     24.830000   \n",
       "50%            0.660000     86.310000     86.610000     85.010000   \n",
       "75%            7.260000    200.690000    198.410000    198.000000   \n",
       "max           26.944000    383.174000    379.632000    377.030000   \n",
       "\n",
       "       std_ic_t2t_mou_6  std_ic_t2t_mou_7  std_ic_t2t_mou_8  std_ic_t2m_mou_6  \\\n",
       "count      69999.000000      69999.000000      69999.000000      69999.000000   \n",
       "mean           3.517162          3.630933          3.475591         10.108319   \n",
       "std            6.340421          6.529882          6.316298         15.238363   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            0.000000          0.000000          0.000000          0.000000   \n",
       "50%            0.000000          0.000000          0.000000          1.590000   \n",
       "75%            3.610000          3.760000          3.430000         13.940000   \n",
       "max           19.080000         19.660000         19.030000         45.810000   \n",
       "\n",
       "       std_ic_t2m_mou_7  std_ic_t2m_mou_8  std_ic_t2f_mou_6  std_ic_t2f_mou_7  \\\n",
       "count      69999.000000      69999.000000      69999.000000      69999.000000   \n",
       "mean          10.593352         10.163160          0.347773          0.356556   \n",
       "std           15.957037         15.460712          0.801166          0.820065   \n",
       "min            0.000000          0.000000          0.000000          0.000000   \n",
       "25%            0.000000          0.000000          0.000000          0.000000   \n",
       "50%            1.630000          1.440000          0.000000          0.000000   \n",
       "75%           14.860000         13.960000          0.000000          0.000000   \n",
       "max           47.840000         46.286000          2.500000          2.560000   \n",
       "\n",
       "       std_ic_t2f_mou_8  std_ic_t2o_mou_6  std_ic_t2o_mou_7  std_ic_t2o_mou_8  \\\n",
       "count      69999.000000           69999.0           69999.0           69999.0   \n",
       "mean           0.350836               0.0               0.0               0.0   \n",
       "std            0.803314               0.0               0.0               0.0   \n",
       "min            0.000000               0.0               0.0               0.0   \n",
       "25%            0.000000               0.0               0.0               0.0   \n",
       "50%            0.000000               0.0               0.0               0.0   \n",
       "75%            0.000000               0.0               0.0               0.0   \n",
       "max            2.502000               0.0               0.0               0.0   \n",
       "\n",
       "       std_ic_mou_6  std_ic_mou_7  std_ic_mou_8  total_ic_mou_6  \\\n",
       "count  69999.000000  69999.000000  69999.000000    69999.000000   \n",
       "mean      17.492199     18.181610     17.447513      162.625850   \n",
       "std       24.243926     25.148488     24.375121      150.139638   \n",
       "min        0.000000      0.000000      0.000000        2.160000   \n",
       "25%        0.000000      0.000000      0.000000       38.640000   \n",
       "50%        5.030000      5.080000      4.680000      114.780000   \n",
       "75%       25.240000     26.560000     25.510000      251.070000   \n",
       "max       73.030000     75.482000     73.030000      467.030000   \n",
       "\n",
       "       total_ic_mou_7  total_ic_mou_8  spl_ic_mou_6  spl_ic_mou_7  \\\n",
       "count    69999.000000    69999.000000  69999.000000  69999.000000   \n",
       "mean       163.801031      161.549177      0.041229      0.005262   \n",
       "std        149.574444      149.374513      0.087177      0.015295   \n",
       "min          3.190000        0.960000      0.000000      0.000000   \n",
       "25%         41.340000       38.290000      0.000000      0.000000   \n",
       "50%        116.330000      114.610000      0.000000      0.000000   \n",
       "75%        249.470000      249.710000      0.000000      0.000000   \n",
       "max        468.524000      464.508000      0.260000      0.050000   \n",
       "\n",
       "       spl_ic_mou_8  isd_ic_mou_6  isd_ic_mou_7  isd_ic_mou_8   ic_others_6  \\\n",
       "count  69999.000000  69999.000000  69999.000000  69999.000000  69999.000000   \n",
       "mean       0.011088      0.480297      0.695328      0.621327      0.085462   \n",
       "std        0.030923      1.278404      1.804115      1.639300      0.184828   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "max        0.100000      4.130000      5.780000      5.280000      0.560000   \n",
       "\n",
       "        ic_others_7   ic_others_8  total_rech_num_6  total_rech_num_7  \\\n",
       "count  69999.000000  69999.000000      69999.000000      69999.000000   \n",
       "mean       0.098849      0.099032          6.783454          6.888027   \n",
       "std        0.228638      0.219620          4.207909          4.202312   \n",
       "min        0.000000      0.000000          2.000000          2.000000   \n",
       "25%        0.000000      0.000000          3.000000          3.000000   \n",
       "50%        0.000000      0.000000          6.000000          6.000000   \n",
       "75%        0.000000      0.000000          9.000000         10.000000   \n",
       "max        0.710000      0.680000         15.000000         15.000000   \n",
       "\n",
       "       total_rech_num_8  total_rech_amt_6  total_rech_amt_7  total_rech_amt_8  \\\n",
       "count      69999.000000      69999.000000      69999.000000      69999.000000   \n",
       "mean           6.386120        285.605666        279.413334        280.845898   \n",
       "std            4.442839        231.983913        231.971761        235.113353   \n",
       "min            1.000000          0.000000          0.000000          0.000000   \n",
       "25%            3.000000        110.000000        100.000000         90.000000   \n",
       "50%            5.000000        229.000000        220.000000        225.000000   \n",
       "75%            9.000000        438.000000        430.000000        436.000000   \n",
       "max           15.000000        735.000000        730.000000        734.000000   \n",
       "\n",
       "       max_rech_amt_6  max_rech_amt_7  max_rech_amt_8  last_day_rch_amt_6  \\\n",
       "count    69999.000000    69999.000000    69999.000000        69999.000000   \n",
       "mean        89.275590       88.781425       94.174302           50.589494   \n",
       "std         62.467679       64.039226       72.098797           48.685520   \n",
       "min          0.000000        0.000000        0.000000            0.000000   \n",
       "25%         30.000000       30.000000       30.000000            0.000000   \n",
       "50%        110.000000      110.000000       98.000000           30.000000   \n",
       "75%        120.000000      128.000000      144.000000          110.000000   \n",
       "max        200.000000      200.000000      225.000000          128.000000   \n",
       "\n",
       "       last_day_rch_amt_7  last_day_rch_amt_8  total_rech_data_6  \\\n",
       "count        69999.000000        69999.000000       69999.000000   \n",
       "mean            47.184303           50.948885           0.369248   \n",
       "std             50.041127           56.733352           0.685169   \n",
       "min              0.000000            0.000000           0.000000   \n",
       "25%              0.000000            0.000000           0.000000   \n",
       "50%             30.000000           30.000000           0.000000   \n",
       "75%            110.000000          130.000000           1.000000   \n",
       "max            130.000000          150.000000           2.000000   \n",
       "\n",
       "       total_rech_data_7  total_rech_data_8  max_rech_data_6  max_rech_data_7  \\\n",
       "count       69999.000000       69999.000000     69999.000000     69999.000000   \n",
       "mean            0.383291           0.393234        25.231246        25.547822   \n",
       "std             0.701807           0.706307        52.987330        53.231361   \n",
       "min             0.000000           0.000000         0.000000         0.000000   \n",
       "25%             0.000000           0.000000         0.000000         0.000000   \n",
       "50%             0.000000           0.000000         0.000000         0.000000   \n",
       "75%             1.000000           1.000000         8.000000        14.000000   \n",
       "max             2.000000           2.000000       154.000000       154.000000   \n",
       "\n",
       "       max_rech_data_8  count_rech_2g_6  count_rech_2g_7  count_rech_2g_8  \\\n",
       "count     69999.000000     69999.000000     69999.000000     69999.000000   \n",
       "mean         25.845926         0.191760         0.197760         0.202489   \n",
       "std          53.326946         0.393688         0.398313         0.401857   \n",
       "min           0.000000         0.000000         0.000000         0.000000   \n",
       "25%           0.000000         0.000000         0.000000         0.000000   \n",
       "50%           0.000000         0.000000         0.000000         0.000000   \n",
       "75%          17.000000         0.000000         0.000000         0.000000   \n",
       "max         154.000000         1.000000         1.000000         1.000000   \n",
       "\n",
       "       count_rech_3g_6  count_rech_3g_7  count_rech_3g_8  av_rech_amt_data_6  \\\n",
       "count          69999.0          69999.0          69999.0        69999.000000   \n",
       "mean               0.0              0.0              0.0           32.560694   \n",
       "std                0.0              0.0              0.0           63.402877   \n",
       "min                0.0              0.0              0.0            0.000000   \n",
       "25%                0.0              0.0              0.0            0.000000   \n",
       "50%                0.0              0.0              0.0            0.000000   \n",
       "75%                0.0              0.0              0.0            8.000000   \n",
       "max                0.0              0.0              0.0          179.000000   \n",
       "\n",
       "       av_rech_amt_data_7  av_rech_amt_data_8   vol_2g_mb_6   vol_2g_mb_7  \\\n",
       "count        69999.000000        69999.000000  69999.000000  69999.000000   \n",
       "mean            35.482746           36.028156     13.925060     13.191889   \n",
       "std             68.291196           68.787376     32.879008     30.995426   \n",
       "min              0.000000            0.000000      0.000000      0.000000   \n",
       "25%              0.000000            0.000000      0.000000      0.000000   \n",
       "50%              0.000000            0.000000      0.000000      0.000000   \n",
       "75%             17.000000           23.000000      0.000000      0.000000   \n",
       "max            195.000000          196.000000    103.514000     97.410000   \n",
       "\n",
       "        vol_2g_mb_8   vol_3g_mb_6   vol_3g_mb_7   vol_3g_mb_8     arpu_3g_6  \\\n",
       "count  69999.000000  69999.000000  69999.000000  69999.000000  69999.000000   \n",
       "mean      12.678222     35.939976     40.997468     46.789379      2.406869   \n",
       "std       29.684800     94.720752    105.693657    118.372342      6.724742   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "max       93.290000    302.810000    335.372000    372.540000     21.910000   \n",
       "\n",
       "          arpu_3g_7     arpu_3g_8     arpu_2g_6     arpu_2g_7     arpu_2g_8  \\\n",
       "count  69999.000000  69999.000000  69999.000000  69999.000000  69999.000000   \n",
       "mean       2.397958      3.166841      4.316691      4.070227      4.535707   \n",
       "std        6.703726      8.664112     11.215143     10.646678     11.718544   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "50%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "75%        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "max       21.910000     28.102000     36.002000     34.350000     37.528000   \n",
       "\n",
       "       monthly_2g_6  monthly_2g_7  monthly_2g_8   sachet_2g_6   sachet_2g_7  \\\n",
       "count       69999.0       69999.0       69999.0  69999.000000  69999.000000   \n",
       "mean            0.0           0.0           0.0      0.128816      0.133173   \n",
       "std             0.0           0.0           0.0      0.334999      0.339764   \n",
       "min             0.0           0.0           0.0      0.000000      0.000000   \n",
       "25%             0.0           0.0           0.0      0.000000      0.000000   \n",
       "50%             0.0           0.0           0.0      0.000000      0.000000   \n",
       "75%             0.0           0.0           0.0      0.000000      0.000000   \n",
       "max             0.0           0.0           0.0      1.000000      1.000000   \n",
       "\n",
       "        sachet_2g_8  monthly_3g_6  monthly_3g_7  monthly_3g_8  sachet_3g_6  \\\n",
       "count  69999.000000       69999.0       69999.0       69999.0      69999.0   \n",
       "mean       0.140731           0.0           0.0           0.0          0.0   \n",
       "std        0.347746           0.0           0.0           0.0          0.0   \n",
       "min        0.000000           0.0           0.0           0.0          0.0   \n",
       "25%        0.000000           0.0           0.0           0.0          0.0   \n",
       "50%        0.000000           0.0           0.0           0.0          0.0   \n",
       "75%        0.000000           0.0           0.0           0.0          0.0   \n",
       "max        1.000000           0.0           0.0           0.0          0.0   \n",
       "\n",
       "       sachet_3g_7  sachet_3g_8           aon    aug_vbc_3g    jul_vbc_3g  \\\n",
       "count      69999.0      69999.0  69999.000000  69999.000000  69999.000000   \n",
       "mean           0.0          0.0   1186.574151     20.098591     16.702236   \n",
       "std            0.0          0.0    864.446669     50.700161     42.798662   \n",
       "min            0.0          0.0    286.000000      0.000000      0.000000   \n",
       "25%            0.0          0.0    468.000000      0.000000      0.000000   \n",
       "50%            0.0          0.0    868.000000      0.000000      0.000000   \n",
       "75%            0.0          0.0   1813.000000      0.000000      0.000000   \n",
       "max            0.0          0.0   2792.000000    160.444000    136.272000   \n",
       "\n",
       "         jun_vbc_3g  churn_probability  total_data_rech_6  total_data_rech_7  \\\n",
       "count  69999.000000       69999.000000       69999.000000       69999.000000   \n",
       "mean      13.172112           0.101887          44.813569          54.155059   \n",
       "std       34.495091           0.302502          87.561262         106.927427   \n",
       "min        0.000000           0.000000           0.000000           0.000000   \n",
       "25%        0.000000           0.000000           0.000000           0.000000   \n",
       "50%        0.000000           0.000000           0.000000           0.000000   \n",
       "75%        0.000000           0.000000           8.000000          17.000000   \n",
       "max      110.328000           1.000000         252.000000         321.600000   \n",
       "\n",
       "       total_data_rech_8  total_rech_6  total_rech_7  total_rech_8  \n",
       "count       69999.000000  69999.000000  69999.000000  69999.000000  \n",
       "mean           57.133856    366.507326    368.921856    370.160200  \n",
       "std           112.737431    324.920108    337.859792    340.673886  \n",
       "min             0.000000      0.000000      0.000000      0.000000  \n",
       "25%             0.000000    110.000000    110.000000    100.000000  \n",
       "50%             0.000000    266.000000    259.000000    262.000000  \n",
       "75%            23.000000    550.000000    550.000000    558.000000  \n",
       "max           342.000000   1027.000000   1062.000000   1065.000000  "
      ]
     },
     "execution_count": 353,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Modeling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 354,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.pipeline import FeatureUnion\n",
    "from sklearn.base import BaseEstimator, TransformerMixin\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import roc_auc_score\n",
    "from imblearn.metrics import sensitivity_specificity_support # pip install imblearn\n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.svm import SVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 355,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = train.drop('churn_probability',axis=1)\n",
    "y = train['churn_probability']\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.25,random_state=1,stratify=y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### PCA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fit PCA to the data and transform the data itself"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 356,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = Pipeline([('scaler',StandardScaler()),('pca',PCA())])\n",
    "pca.fit_transform(X_train)\n",
    "pca = pca.named_steps['pca']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 18.58,  31.15,  39.88,  43.75,  47.29,  50.83,  53.15,  55.41,\n",
       "        57.38,  59.33,  61.2 ,  62.97,  64.63,  66.15,  67.52,  68.84,\n",
       "        70.08,  71.22,  72.34,  73.41,  74.43,  75.3 ,  76.13,  76.92,\n",
       "        77.68,  78.42,  79.15,  79.83,  80.48,  81.11,  81.73,  82.32,\n",
       "        82.92,  83.5 ,  84.06,  84.61,  85.14,  85.63,  86.12,  86.58,\n",
       "        87.03,  87.48,  87.92,  88.34,  88.75,  89.12,  89.48,  89.84,\n",
       "        90.2 ,  90.53,  90.87,  91.2 ,  91.52,  91.83,  92.13,  92.4 ,\n",
       "        92.68,  92.94,  93.21,  93.45,  93.69,  93.92,  94.14,  94.37,\n",
       "        94.59,  94.81,  95.02,  95.23,  95.42,  95.61,  95.79,  95.97,\n",
       "        96.14,  96.31,  96.48,  96.65,  96.81,  96.97,  97.13,  97.28,\n",
       "        97.42,  97.54,  97.66,  97.78,  97.9 ,  98.  ,  98.11,  98.2 ,\n",
       "        98.3 ,  98.39,  98.48,  98.56,  98.65,  98.73,  98.81,  98.88,\n",
       "        98.95,  99.02,  99.09,  99.16,  99.22,  99.28,  99.33,  99.37,\n",
       "        99.41,  99.45,  99.48,  99.52,  99.55,  99.58,  99.62,  99.65,\n",
       "        99.67,  99.7 ,  99.73,  99.75,  99.78,  99.8 ,  99.82,  99.84,\n",
       "        99.86,  99.88,  99.9 ,  99.91,  99.93,  99.94,  99.95,  99.96,\n",
       "        99.97,  99.97,  99.98,  99.99,  99.99, 100.  , 100.  , 100.  ,\n",
       "       100.  , 100.  , 100.  , 100.  , 100.  , 100.  , 100.  , 100.  ,\n",
       "       100.  , 100.  , 100.  , 100.  , 100.  , 100.  , 100.  , 100.  ,\n",
       "       100.  , 100.  , 100.  , 100.  , 100.  , 100.  , 100.  , 100.  ])"
      ]
     },
     "execution_count": 357,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cumulative_variance = np.round(np.cumsum(pca.explained_variance_ratio_)*100,decimals=2)\n",
    "cumulative_variance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 358,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f9103a44b50>]"
      ]
     },
     "execution_count": 358,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "plt.plot(np.arange(len(cumulative_variance))+1,cumulative_variance)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the orginal data exhibit a great extent of mutual correlation. As a result, only a small number of principal components explain most of the information in the data. Particularly, we only need 57 PCs to explain 95% of the data rather than 160 original variables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PCA and Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 359,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create pipeline\n",
    "steps = [\n",
    "    ('scaler',StandardScaler()),\n",
    "    (\"pca\",PCA(0.95)),\n",
    "    (\"logistic\", LogisticRegression(class_weight='balanced'))\n",
    "]\n",
    "pipeline = Pipeline(steps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.830663441208404"
      ]
     },
     "execution_count": 360,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fit model\n",
    "pipeline.fit(X_train,y_train)\n",
    "# check score on train data\n",
    "pipeline.score(X_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluate on test data set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 361,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[13051  2666]\n",
      " [  231  1552]]\n",
      "Sensitivity: \t0.87\n",
      "Specificity: \t0.83\n",
      "AUC:    \t 0.91\n"
     ]
    }
   ],
   "source": [
    "# predict churn on test data\n",
    "y_pred = pipeline.predict(X_test)\n",
    "\n",
    "# create onfusion matrix\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "print(cm)\n",
    "\n",
    "# check sensitivity and specificity\n",
    "sensitivity, specificity, _ = sensitivity_specificity_support(y_test, y_pred, average='binary')\n",
    "print(\"Sensitivity: \\t\", round(sensitivity, 2), \"\\n\", \"Specificity: \\t\", round(specificity, 2), sep='')\n",
    "\n",
    "# check area under curve\n",
    "y_pred_prob = pipeline.predict_proba(X_test)[:, 1]\n",
    "print(\"AUC:    \\t\", round(roc_auc_score(y_test, y_pred_prob),2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hyperparameter Tunning: PCA & Logistic Regression"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Examine class imbalance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 362,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0    0.898112\n",
       "1.0    0.101888\n",
       "Name: churn_probability, dtype: float64"
      ]
     },
     "execution_count": 362,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.value_counts()/y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA()\n",
    "logistic = LogisticRegression(class_weight={0:0.1,1:0.9})\n",
    "\n",
    "# create pipeline\n",
    "steps = [(\"scaler\", StandardScaler()),(\"pca\",pca),(\"logistic\",logistic)]\n",
    "\n",
    "# compile pipeline\n",
    "pca_logistic = Pipeline(steps)\n",
    "\n",
    "# hyperparameter space\n",
    "params = {'pca__n_components':[50,70],'logistic__C':[0.1,0.5,1,2,3,4,5,10],'logistic__penalty':['l1','l2']}\n",
    "\n",
    "# create 5 folds\n",
    "folds = StratifiedKFold(n_splits=5,shuffle=True,random_state=1)\n",
    "\n",
    "# create gridsearch object\n",
    "model = GridSearchCV(estimator=pca_logistic,cv=folds,param_grid=params,scoring='roc_auc',n_jobs=-1,verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 32 candidates, totalling 160 fits\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=StratifiedKFold(n_splits=5, random_state=1, shuffle=True),\n",
       "             estimator=Pipeline(steps=[('scaler', StandardScaler()),\n",
       "                                       ('pca', PCA()),\n",
       "                                       ('logistic',\n",
       "                                        LogisticRegression(class_weight={0: 0.1,\n",
       "                                                                         1: 0.9}))]),\n",
       "             n_jobs=-1,\n",
       "             param_grid={'logistic__C': [0.1, 0.5, 1, 2, 3, 4, 5, 10],\n",
       "                         'logistic__penalty': ['l1', 'l2'],\n",
       "                         'pca__n_components': [50, 70]},\n",
       "             scoring='roc_auc', verbose=1)"
      ]
     },
     "execution_count": 364,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 365,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>mean_fit_time</th>\n",
       "      <th>std_fit_time</th>\n",
       "      <th>mean_score_time</th>\n",
       "      <th>std_score_time</th>\n",
       "      <th>param_logistic__C</th>\n",
       "      <th>param_logistic__penalty</th>\n",
       "      <th>param_pca__n_components</th>\n",
       "      <th>params</th>\n",
       "      <th>split0_test_score</th>\n",
       "      <th>split1_test_score</th>\n",
       "      <th>split2_test_score</th>\n",
       "      <th>split3_test_score</th>\n",
       "      <th>split4_test_score</th>\n",
       "      <th>mean_test_score</th>\n",
       "      <th>std_test_score</th>\n",
       "      <th>rank_test_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.488873</td>\n",
       "      <td>0.125081</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1</td>\n",
       "      <td>l1</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 0.1, 'logistic__penalty': 'l1'...</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>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.195308</td>\n",
       "      <td>0.191741</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1</td>\n",
       "      <td>l1</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 0.1, 'logistic__penalty': 'l1'...</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>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.443160</td>\n",
       "      <td>0.067365</td>\n",
       "      <td>0.046668</td>\n",
       "      <td>0.010403</td>\n",
       "      <td>0.1</td>\n",
       "      <td>l2</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 0.1, 'logistic__penalty': 'l2'...</td>\n",
       "      <td>0.901212</td>\n",
       "      <td>0.892199</td>\n",
       "      <td>0.910505</td>\n",
       "      <td>0.896175</td>\n",
       "      <td>0.897733</td>\n",
       "      <td>0.899565</td>\n",
       "      <td>0.006189</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.156234</td>\n",
       "      <td>0.134166</td>\n",
       "      <td>0.054744</td>\n",
       "      <td>0.010674</td>\n",
       "      <td>0.1</td>\n",
       "      <td>l2</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 0.1, 'logistic__penalty': 'l2'...</td>\n",
       "      <td>0.907281</td>\n",
       "      <td>0.898649</td>\n",
       "      <td>0.915948</td>\n",
       "      <td>0.902005</td>\n",
       "      <td>0.904017</td>\n",
       "      <td>0.905580</td>\n",
       "      <td>0.005893</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.280651</td>\n",
       "      <td>0.246826</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.5</td>\n",
       "      <td>l1</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 0.5, 'logistic__penalty': 'l1'...</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>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3.442157</td>\n",
       "      <td>0.114862</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.5</td>\n",
       "      <td>l1</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 0.5, 'logistic__penalty': 'l1'...</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>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3.349681</td>\n",
       "      <td>0.101054</td>\n",
       "      <td>0.099180</td>\n",
       "      <td>0.041559</td>\n",
       "      <td>0.5</td>\n",
       "      <td>l2</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 0.5, 'logistic__penalty': 'l2'...</td>\n",
       "      <td>0.901533</td>\n",
       "      <td>0.891588</td>\n",
       "      <td>0.910372</td>\n",
       "      <td>0.896342</td>\n",
       "      <td>0.897474</td>\n",
       "      <td>0.899462</td>\n",
       "      <td>0.006309</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4.423383</td>\n",
       "      <td>0.137544</td>\n",
       "      <td>0.100233</td>\n",
       "      <td>0.038633</td>\n",
       "      <td>0.5</td>\n",
       "      <td>l2</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 0.5, 'logistic__penalty': 'l2'...</td>\n",
       "      <td>0.907388</td>\n",
       "      <td>0.898253</td>\n",
       "      <td>0.916012</td>\n",
       "      <td>0.902017</td>\n",
       "      <td>0.904239</td>\n",
       "      <td>0.905582</td>\n",
       "      <td>0.006005</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3.121493</td>\n",
       "      <td>0.121791</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>l1</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 1, 'logistic__penalty': 'l1', ...</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>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3.494241</td>\n",
       "      <td>0.314673</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>l1</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 1, 'logistic__penalty': 'l1', ...</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>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2.679273</td>\n",
       "      <td>0.146013</td>\n",
       "      <td>0.062503</td>\n",
       "      <td>0.042850</td>\n",
       "      <td>1</td>\n",
       "      <td>l2</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 1, 'logistic__penalty': 'l2', ...</td>\n",
       "      <td>0.900320</td>\n",
       "      <td>0.891698</td>\n",
       "      <td>0.910116</td>\n",
       "      <td>0.896217</td>\n",
       "      <td>0.897635</td>\n",
       "      <td>0.899197</td>\n",
       "      <td>0.006133</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3.470103</td>\n",
       "      <td>0.026549</td>\n",
       "      <td>0.057289</td>\n",
       "      <td>0.012039</td>\n",
       "      <td>1</td>\n",
       "      <td>l2</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 1, 'logistic__penalty': 'l2', ...</td>\n",
       "      <td>0.907185</td>\n",
       "      <td>0.898370</td>\n",
       "      <td>0.916416</td>\n",
       "      <td>0.901842</td>\n",
       "      <td>0.904414</td>\n",
       "      <td>0.905645</td>\n",
       "      <td>0.006120</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2.118555</td>\n",
       "      <td>0.104174</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>l1</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 2, 'logistic__penalty': 'l1', ...</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>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2.633232</td>\n",
       "      <td>0.103608</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>l1</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 2, 'logistic__penalty': 'l1', ...</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>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2.229556</td>\n",
       "      <td>0.078453</td>\n",
       "      <td>0.035888</td>\n",
       "      <td>0.005759</td>\n",
       "      <td>2</td>\n",
       "      <td>l2</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 2, 'logistic__penalty': 'l2', ...</td>\n",
       "      <td>0.900914</td>\n",
       "      <td>0.891196</td>\n",
       "      <td>0.910493</td>\n",
       "      <td>0.897317</td>\n",
       "      <td>0.897727</td>\n",
       "      <td>0.899530</td>\n",
       "      <td>0.006320</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2.930524</td>\n",
       "      <td>0.036323</td>\n",
       "      <td>0.050212</td>\n",
       "      <td>0.005089</td>\n",
       "      <td>2</td>\n",
       "      <td>l2</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 2, 'logistic__penalty': 'l2', ...</td>\n",
       "      <td>0.907537</td>\n",
       "      <td>0.898501</td>\n",
       "      <td>0.916113</td>\n",
       "      <td>0.902253</td>\n",
       "      <td>0.904213</td>\n",
       "      <td>0.905723</td>\n",
       "      <td>0.005962</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2.034915</td>\n",
       "      <td>0.088838</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>l1</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 3, 'logistic__penalty': 'l1', ...</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>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2.711712</td>\n",
       "      <td>0.104121</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>l1</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 3, 'logistic__penalty': 'l1', ...</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>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2.343757</td>\n",
       "      <td>0.072379</td>\n",
       "      <td>0.038868</td>\n",
       "      <td>0.007193</td>\n",
       "      <td>3</td>\n",
       "      <td>l2</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 3, 'logistic__penalty': 'l2', ...</td>\n",
       "      <td>0.900972</td>\n",
       "      <td>0.892182</td>\n",
       "      <td>0.910474</td>\n",
       "      <td>0.896728</td>\n",
       "      <td>0.897003</td>\n",
       "      <td>0.899472</td>\n",
       "      <td>0.006165</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3.054077</td>\n",
       "      <td>0.137348</td>\n",
       "      <td>0.054710</td>\n",
       "      <td>0.007898</td>\n",
       "      <td>3</td>\n",
       "      <td>l2</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 3, 'logistic__penalty': 'l2', ...</td>\n",
       "      <td>0.907559</td>\n",
       "      <td>0.898695</td>\n",
       "      <td>0.916245</td>\n",
       "      <td>0.902103</td>\n",
       "      <td>0.904359</td>\n",
       "      <td>0.905792</td>\n",
       "      <td>0.005973</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1.982348</td>\n",
       "      <td>0.055655</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>l1</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 4, 'logistic__penalty': 'l1', ...</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>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2.816553</td>\n",
       "      <td>0.149956</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>l1</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 4, 'logistic__penalty': 'l1', ...</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>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2.322519</td>\n",
       "      <td>0.195368</td>\n",
       "      <td>0.041036</td>\n",
       "      <td>0.007663</td>\n",
       "      <td>4</td>\n",
       "      <td>l2</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 4, 'logistic__penalty': 'l2', ...</td>\n",
       "      <td>0.901092</td>\n",
       "      <td>0.891951</td>\n",
       "      <td>0.910359</td>\n",
       "      <td>0.896967</td>\n",
       "      <td>0.897788</td>\n",
       "      <td>0.899632</td>\n",
       "      <td>0.006111</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3.228594</td>\n",
       "      <td>0.048779</td>\n",
       "      <td>0.057860</td>\n",
       "      <td>0.006565</td>\n",
       "      <td>4</td>\n",
       "      <td>l2</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 4, 'logistic__penalty': 'l2', ...</td>\n",
       "      <td>0.907588</td>\n",
       "      <td>0.898326</td>\n",
       "      <td>0.916162</td>\n",
       "      <td>0.902074</td>\n",
       "      <td>0.904022</td>\n",
       "      <td>0.905634</td>\n",
       "      <td>0.006055</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2.046749</td>\n",
       "      <td>0.161024</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>l1</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 5, 'logistic__penalty': 'l1', ...</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>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2.592657</td>\n",
       "      <td>0.055992</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>l1</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 5, 'logistic__penalty': 'l1', ...</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>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2.152184</td>\n",
       "      <td>0.161343</td>\n",
       "      <td>0.040349</td>\n",
       "      <td>0.005760</td>\n",
       "      <td>5</td>\n",
       "      <td>l2</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 5, 'logistic__penalty': 'l2', ...</td>\n",
       "      <td>0.900194</td>\n",
       "      <td>0.891275</td>\n",
       "      <td>0.909280</td>\n",
       "      <td>0.896759</td>\n",
       "      <td>0.897468</td>\n",
       "      <td>0.898995</td>\n",
       "      <td>0.005902</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>3.003770</td>\n",
       "      <td>0.124925</td>\n",
       "      <td>0.042435</td>\n",
       "      <td>0.003328</td>\n",
       "      <td>5</td>\n",
       "      <td>l2</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 5, 'logistic__penalty': 'l2', ...</td>\n",
       "      <td>0.907200</td>\n",
       "      <td>0.898366</td>\n",
       "      <td>0.916399</td>\n",
       "      <td>0.901988</td>\n",
       "      <td>0.904173</td>\n",
       "      <td>0.905625</td>\n",
       "      <td>0.006109</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2.019631</td>\n",
       "      <td>0.100095</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10</td>\n",
       "      <td>l1</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 10, 'logistic__penalty': 'l1',...</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>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2.677530</td>\n",
       "      <td>0.141587</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10</td>\n",
       "      <td>l1</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 10, 'logistic__penalty': 'l1',...</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>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2.162118</td>\n",
       "      <td>0.045215</td>\n",
       "      <td>0.039370</td>\n",
       "      <td>0.004534</td>\n",
       "      <td>10</td>\n",
       "      <td>l2</td>\n",
       "      <td>50</td>\n",
       "      <td>{'logistic__C': 10, 'logistic__penalty': 'l2',...</td>\n",
       "      <td>0.900217</td>\n",
       "      <td>0.891676</td>\n",
       "      <td>0.910829</td>\n",
       "      <td>0.896742</td>\n",
       "      <td>0.898158</td>\n",
       "      <td>0.899524</td>\n",
       "      <td>0.006316</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2.506458</td>\n",
       "      <td>0.208675</td>\n",
       "      <td>0.034359</td>\n",
       "      <td>0.006582</td>\n",
       "      <td>10</td>\n",
       "      <td>l2</td>\n",
       "      <td>70</td>\n",
       "      <td>{'logistic__C': 10, 'logistic__penalty': 'l2',...</td>\n",
       "      <td>0.907659</td>\n",
       "      <td>0.898224</td>\n",
       "      <td>0.916327</td>\n",
       "      <td>0.901777</td>\n",
       "      <td>0.903764</td>\n",
       "      <td>0.905550</td>\n",
       "      <td>0.006192</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mean_fit_time  std_fit_time  mean_score_time  std_score_time  \\\n",
       "0        2.488873      0.125081         0.000000        0.000000   \n",
       "1        3.195308      0.191741         0.000000        0.000000   \n",
       "2        2.443160      0.067365         0.046668        0.010403   \n",
       "3        3.156234      0.134166         0.054744        0.010674   \n",
       "4        2.280651      0.246826         0.000000        0.000000   \n",
       "5        3.442157      0.114862         0.000000        0.000000   \n",
       "6        3.349681      0.101054         0.099180        0.041559   \n",
       "7        4.423383      0.137544         0.100233        0.038633   \n",
       "8        3.121493      0.121791         0.000000        0.000000   \n",
       "9        3.494241      0.314673         0.000000        0.000000   \n",
       "10       2.679273      0.146013         0.062503        0.042850   \n",
       "11       3.470103      0.026549         0.057289        0.012039   \n",
       "12       2.118555      0.104174         0.000000        0.000000   \n",
       "13       2.633232      0.103608         0.000000        0.000000   \n",
       "14       2.229556      0.078453         0.035888        0.005759   \n",
       "15       2.930524      0.036323         0.050212        0.005089   \n",
       "16       2.034915      0.088838         0.000000        0.000000   \n",
       "17       2.711712      0.104121         0.000000        0.000000   \n",
       "18       2.343757      0.072379         0.038868        0.007193   \n",
       "19       3.054077      0.137348         0.054710        0.007898   \n",
       "20       1.982348      0.055655         0.000000        0.000000   \n",
       "21       2.816553      0.149956         0.000000        0.000000   \n",
       "22       2.322519      0.195368         0.041036        0.007663   \n",
       "23       3.228594      0.048779         0.057860        0.006565   \n",
       "24       2.046749      0.161024         0.000000        0.000000   \n",
       "25       2.592657      0.055992         0.000000        0.000000   \n",
       "26       2.152184      0.161343         0.040349        0.005760   \n",
       "27       3.003770      0.124925         0.042435        0.003328   \n",
       "28       2.019631      0.100095         0.000000        0.000000   \n",
       "29       2.677530      0.141587         0.000000        0.000000   \n",
       "30       2.162118      0.045215         0.039370        0.004534   \n",
       "31       2.506458      0.208675         0.034359        0.006582   \n",
       "\n",
       "   param_logistic__C param_logistic__penalty param_pca__n_components  \\\n",
       "0                0.1                      l1                      50   \n",
       "1                0.1                      l1                      70   \n",
       "2                0.1                      l2                      50   \n",
       "3                0.1                      l2                      70   \n",
       "4                0.5                      l1                      50   \n",
       "5                0.5                      l1                      70   \n",
       "6                0.5                      l2                      50   \n",
       "7                0.5                      l2                      70   \n",
       "8                  1                      l1                      50   \n",
       "9                  1                      l1                      70   \n",
       "10                 1                      l2                      50   \n",
       "11                 1                      l2                      70   \n",
       "12                 2                      l1                      50   \n",
       "13                 2                      l1                      70   \n",
       "14                 2                      l2                      50   \n",
       "15                 2                      l2                      70   \n",
       "16                 3                      l1                      50   \n",
       "17                 3                      l1                      70   \n",
       "18                 3                      l2                      50   \n",
       "19                 3                      l2                      70   \n",
       "20                 4                      l1                      50   \n",
       "21                 4                      l1                      70   \n",
       "22                 4                      l2                      50   \n",
       "23                 4                      l2                      70   \n",
       "24                 5                      l1                      50   \n",
       "25                 5                      l1                      70   \n",
       "26                 5                      l2                      50   \n",
       "27                 5                      l2                      70   \n",
       "28                10                      l1                      50   \n",
       "29                10                      l1                      70   \n",
       "30                10                      l2                      50   \n",
       "31                10                      l2                      70   \n",
       "\n",
       "                                               params  split0_test_score  \\\n",
       "0   {'logistic__C': 0.1, 'logistic__penalty': 'l1'...                NaN   \n",
       "1   {'logistic__C': 0.1, 'logistic__penalty': 'l1'...                NaN   \n",
       "2   {'logistic__C': 0.1, 'logistic__penalty': 'l2'...           0.901212   \n",
       "3   {'logistic__C': 0.1, 'logistic__penalty': 'l2'...           0.907281   \n",
       "4   {'logistic__C': 0.5, 'logistic__penalty': 'l1'...                NaN   \n",
       "5   {'logistic__C': 0.5, 'logistic__penalty': 'l1'...                NaN   \n",
       "6   {'logistic__C': 0.5, 'logistic__penalty': 'l2'...           0.901533   \n",
       "7   {'logistic__C': 0.5, 'logistic__penalty': 'l2'...           0.907388   \n",
       "8   {'logistic__C': 1, 'logistic__penalty': 'l1', ...                NaN   \n",
       "9   {'logistic__C': 1, 'logistic__penalty': 'l1', ...                NaN   \n",
       "10  {'logistic__C': 1, 'logistic__penalty': 'l2', ...           0.900320   \n",
       "11  {'logistic__C': 1, 'logistic__penalty': 'l2', ...           0.907185   \n",
       "12  {'logistic__C': 2, 'logistic__penalty': 'l1', ...                NaN   \n",
       "13  {'logistic__C': 2, 'logistic__penalty': 'l1', ...                NaN   \n",
       "14  {'logistic__C': 2, 'logistic__penalty': 'l2', ...           0.900914   \n",
       "15  {'logistic__C': 2, 'logistic__penalty': 'l2', ...           0.907537   \n",
       "16  {'logistic__C': 3, 'logistic__penalty': 'l1', ...                NaN   \n",
       "17  {'logistic__C': 3, 'logistic__penalty': 'l1', ...                NaN   \n",
       "18  {'logistic__C': 3, 'logistic__penalty': 'l2', ...           0.900972   \n",
       "19  {'logistic__C': 3, 'logistic__penalty': 'l2', ...           0.907559   \n",
       "20  {'logistic__C': 4, 'logistic__penalty': 'l1', ...                NaN   \n",
       "21  {'logistic__C': 4, 'logistic__penalty': 'l1', ...                NaN   \n",
       "22  {'logistic__C': 4, 'logistic__penalty': 'l2', ...           0.901092   \n",
       "23  {'logistic__C': 4, 'logistic__penalty': 'l2', ...           0.907588   \n",
       "24  {'logistic__C': 5, 'logistic__penalty': 'l1', ...                NaN   \n",
       "25  {'logistic__C': 5, 'logistic__penalty': 'l1', ...                NaN   \n",
       "26  {'logistic__C': 5, 'logistic__penalty': 'l2', ...           0.900194   \n",
       "27  {'logistic__C': 5, 'logistic__penalty': 'l2', ...           0.907200   \n",
       "28  {'logistic__C': 10, 'logistic__penalty': 'l1',...                NaN   \n",
       "29  {'logistic__C': 10, 'logistic__penalty': 'l1',...                NaN   \n",
       "30  {'logistic__C': 10, 'logistic__penalty': 'l2',...           0.900217   \n",
       "31  {'logistic__C': 10, 'logistic__penalty': 'l2',...           0.907659   \n",
       "\n",
       "    split1_test_score  split2_test_score  split3_test_score  \\\n",
       "0                 NaN                NaN                NaN   \n",
       "1                 NaN                NaN                NaN   \n",
       "2            0.892199           0.910505           0.896175   \n",
       "3            0.898649           0.915948           0.902005   \n",
       "4                 NaN                NaN                NaN   \n",
       "5                 NaN                NaN                NaN   \n",
       "6            0.891588           0.910372           0.896342   \n",
       "7            0.898253           0.916012           0.902017   \n",
       "8                 NaN                NaN                NaN   \n",
       "9                 NaN                NaN                NaN   \n",
       "10           0.891698           0.910116           0.896217   \n",
       "11           0.898370           0.916416           0.901842   \n",
       "12                NaN                NaN                NaN   \n",
       "13                NaN                NaN                NaN   \n",
       "14           0.891196           0.910493           0.897317   \n",
       "15           0.898501           0.916113           0.902253   \n",
       "16                NaN                NaN                NaN   \n",
       "17                NaN                NaN                NaN   \n",
       "18           0.892182           0.910474           0.896728   \n",
       "19           0.898695           0.916245           0.902103   \n",
       "20                NaN                NaN                NaN   \n",
       "21                NaN                NaN                NaN   \n",
       "22           0.891951           0.910359           0.896967   \n",
       "23           0.898326           0.916162           0.902074   \n",
       "24                NaN                NaN                NaN   \n",
       "25                NaN                NaN                NaN   \n",
       "26           0.891275           0.909280           0.896759   \n",
       "27           0.898366           0.916399           0.901988   \n",
       "28                NaN                NaN                NaN   \n",
       "29                NaN                NaN                NaN   \n",
       "30           0.891676           0.910829           0.896742   \n",
       "31           0.898224           0.916327           0.901777   \n",
       "\n",
       "    split4_test_score  mean_test_score  std_test_score  rank_test_score  \n",
       "0                 NaN              NaN             NaN               32  \n",
       "1                 NaN              NaN             NaN               20  \n",
       "2            0.897733         0.899565        0.006189               10  \n",
       "3            0.904017         0.905580        0.005893                7  \n",
       "4                 NaN              NaN             NaN               23  \n",
       "5                 NaN              NaN             NaN               29  \n",
       "6            0.897474         0.899462        0.006309               14  \n",
       "7            0.904239         0.905582        0.006005                6  \n",
       "8                 NaN              NaN             NaN               17  \n",
       "9                 NaN              NaN             NaN               30  \n",
       "10           0.897635         0.899197        0.006133               15  \n",
       "11           0.904414         0.905645        0.006120                3  \n",
       "12                NaN              NaN             NaN               28  \n",
       "13                NaN              NaN             NaN               27  \n",
       "14           0.897727         0.899530        0.006320               11  \n",
       "15           0.904213         0.905723        0.005962                2  \n",
       "16                NaN              NaN             NaN               26  \n",
       "17                NaN              NaN             NaN               25  \n",
       "18           0.897003         0.899472        0.006165               13  \n",
       "19           0.904359         0.905792        0.005973                1  \n",
       "20                NaN              NaN             NaN               24  \n",
       "21                NaN              NaN             NaN               31  \n",
       "22           0.897788         0.899632        0.006111                9  \n",
       "23           0.904022         0.905634        0.006055                4  \n",
       "24                NaN              NaN             NaN               22  \n",
       "25                NaN              NaN             NaN               21  \n",
       "26           0.897468         0.898995        0.005902               16  \n",
       "27           0.904173         0.905625        0.006109                5  \n",
       "28                NaN              NaN             NaN               19  \n",
       "29                NaN              NaN             NaN               18  \n",
       "30           0.898158         0.899524        0.006316               12  \n",
       "31           0.903764         0.905550        0.006192                8  "
      ]
     },
     "execution_count": 365,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(model.cv_results_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best AUC: 0.9057922935863306\n",
      "Best hyperparameters: {'logistic__C': 3, 'logistic__penalty': 'l2', 'pca__n_components': 70}\n"
     ]
    }
   ],
   "source": [
    "# print best hyperparameters\n",
    "print(\"Best AUC:\",model.best_score_)\n",
    "print(\"Best hyperparameters:\",model.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[12984  2733]\n",
      " [  222  1561]]\n",
      "Sensitivity:0.88\n",
      "Specificity:0.83\n",
      "AUC: 0.91\n"
     ]
    }
   ],
   "source": [
    "y_pred = model.predict(X_test)\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "print(cm)\n",
    "sensitivity, specificity, _ = sensitivity_specificity_support(y_test,y_pred,average='binary')\n",
    "print(\"Sensitivity:\",round(sensitivity,2),\"\\n\",\"Specificity:\",round(specificity, 2),sep='')\n",
    "y_pred_prob = model.predict_proba(X_test)[:,1]\n",
    "print(\"AUC:\",round(roc_auc_score(y_test, y_pred_prob),2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "metadata": {},
   "outputs": [],
   "source": [
    "forest = RandomForestClassifier(class_weight={0:0.1,1:0.9}, n_jobs=-1)\n",
    "params = {\"criterion\":['gini','entropy'],\"max_features\":['auto',0.4]}\n",
    "folds = StratifiedKFold(n_splits=5,shuffle=True,random_state=4)\n",
    "model = GridSearchCV(estimator=forest,cv=folds,param_grid=params,scoring='roc_auc',n_jobs=-1,verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 369,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 4 candidates, totalling 20 fits\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=StratifiedKFold(n_splits=5, random_state=4, shuffle=True),\n",
       "             estimator=RandomForestClassifier(class_weight={0: 0.1, 1: 0.9},\n",
       "                                              n_jobs=-1),\n",
       "             n_jobs=-1,\n",
       "             param_grid={'criterion': ['gini', 'entropy'],\n",
       "                         'max_features': ['auto', 0.4]},\n",
       "             scoring='roc_auc', verbose=1)"
      ]
     },
     "execution_count": 369,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fit model\n",
    "model.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best AUC: 0.9356912264556219\n",
      "Best hyperparameters: {'criterion': 'entropy', 'max_features': 0.4}\n"
     ]
    }
   ],
   "source": [
    "# print best hyperparameters\n",
    "print(\"Best AUC:\",model.best_score_)\n",
    "print(\"Best hyperparameters:\",model.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[15428   289]\n",
      " [  700  1083]]\n",
      "Sensitivity: \t0.61\n",
      "Specificity:0.98\n",
      "AUC: 0.94\n"
     ]
    }
   ],
   "source": [
    "# predict churn on test data\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "# create onfusion matrix\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "print(cm)\n",
    "\n",
    "# check sensitivity and specificity\n",
    "sensitivity,specificity, _ = sensitivity_specificity_support(y_test,y_pred,average='binary')\n",
    "print(\"Sensitivity: \\t\",round(sensitivity,2),\"\\n\",\"Specificity:\",round(specificity, 2),sep='')\n",
    "\n",
    "# check area under curve\n",
    "y_pred_prob = model.predict_proba(X_test)[:,1]\n",
    "print(\"AUC:\",round(roc_auc_score(y_test, y_pred_prob),2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13\n"
     ]
    }
   ],
   "source": [
    "# run a random forest model on train data\n",
    "max_features = int(round(np.sqrt(X_train.shape[1])))    # number of variables to consider to split each node\n",
    "print(max_features)\n",
    "\n",
    "rf_model = RandomForestClassifier(n_estimators=100, max_features=max_features, class_weight={0:0.1, 1: 0.9}, oob_score=True, random_state=4, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 373,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n",
      "[Parallel(n_jobs=1)]: Done 100 out of 100 | elapsed:   18.0s finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9393893217013657"
      ]
     },
     "execution_count": 373,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf_model.fit(X_train, y_train)\n",
    "rf_model.oob_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n",
      "[Parallel(n_jobs=1)]: Done 100 out of 100 | elapsed:    0.2s finished\n",
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[15460   257]\n",
      " [  741  1042]]\n",
      "Sensitivity:0.58\n",
      "Specificity: \t0.98\n",
      "ROC: 0.94\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done 100 out of 100 | elapsed:    0.2s finished\n"
     ]
    }
   ],
   "source": [
    "y_pred = rf_model.predict(X_test)\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "print(cm)\n",
    "\n",
    "# check sensitivity and specificity\n",
    "sensitivity, specificity, _ = sensitivity_specificity_support(y_test, y_pred, average='binary')\n",
    "print(\"Sensitivity:\", round(sensitivity, 2), \"\\n\", \"Specificity: \\t\", round(specificity, 2), sep='')\n",
    "\n",
    "# check area under curve\n",
    "y_pred_prob = rf_model.predict_proba(X_test)[:, 1]\n",
    "print(\"ROC:\", round(roc_auc_score(y_test, y_pred_prob),2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 375,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum of importance= 100.00000000000001\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>variables</th>\n",
       "      <th>importance_percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>total_ic_mou_8</td>\n",
       "      <td>6.389775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>loc_ic_mou_8</td>\n",
       "      <td>5.677185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>loc_ic_t2m_mou_8</td>\n",
       "      <td>4.888871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>total_og_mou_8</td>\n",
       "      <td>4.142399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>loc_ic_t2t_mou_8</td>\n",
       "      <td>4.093693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>loc_og_mou_8</td>\n",
       "      <td>3.233580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>total_rech_8</td>\n",
       "      <td>3.188981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>roam_og_mou_8</td>\n",
       "      <td>3.005022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>last_day_rch_amt_8</td>\n",
       "      <td>2.953782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>loc_og_t2t_mou_8</td>\n",
       "      <td>2.843940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>loc_og_t2m_mou_8</td>\n",
       "      <td>2.319693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>roam_ic_mou_8</td>\n",
       "      <td>2.251011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>max_rech_amt_8</td>\n",
       "      <td>2.084364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>arpu_8</td>\n",
       "      <td>2.025167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>total_rech_amt_8</td>\n",
       "      <td>1.956531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>std_ic_mou_8</td>\n",
       "      <td>1.871090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>offnet_mou_8</td>\n",
       "      <td>1.833296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>loc_ic_t2m_mou_7</td>\n",
       "      <td>1.460782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>onnet_mou_8</td>\n",
       "      <td>1.220559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>loc_ic_mou_7</td>\n",
       "      <td>1.215383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>total_ic_mou_7</td>\n",
       "      <td>1.074539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>aon</td>\n",
       "      <td>1.017475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>total_og_mou_7</td>\n",
       "      <td>0.989839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>std_og_mou_8</td>\n",
       "      <td>0.972257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>loc_ic_t2t_mou_7</td>\n",
       "      <td>0.891815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>loc_ic_t2f_mou_8</td>\n",
       "      <td>0.862946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>loc_og_mou_7</td>\n",
       "      <td>0.817266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>loc_og_t2t_mou_7</td>\n",
       "      <td>0.799573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>arpu_7</td>\n",
       "      <td>0.767965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>loc_ic_mou_6</td>\n",
       "      <td>0.751173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>loc_ic_t2m_mou_6</td>\n",
       "      <td>0.728700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>offnet_mou_7</td>\n",
       "      <td>0.701282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>total_rech_amt_7</td>\n",
       "      <td>0.701134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>total_ic_mou_6</td>\n",
       "      <td>0.699200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>total_rech_num_8</td>\n",
       "      <td>0.665782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>std_ic_t2m_mou_8</td>\n",
       "      <td>0.650513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>loc_ic_t2f_mou_7</td>\n",
       "      <td>0.650389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>arpu_6</td>\n",
       "      <td>0.630843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>loc_ic_t2t_mou_6</td>\n",
       "      <td>0.622123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>total_rech_num_7</td>\n",
       "      <td>0.619383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>loc_og_mou_6</td>\n",
       "      <td>0.610798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>total_og_mou_6</td>\n",
       "      <td>0.609126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>total_rech_7</td>\n",
       "      <td>0.607666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>std_og_mou_7</td>\n",
       "      <td>0.596985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>onnet_mou_6</td>\n",
       "      <td>0.595045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>offnet_mou_6</td>\n",
       "      <td>0.594478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>total_rech_amt_6</td>\n",
       "      <td>0.589448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>loc_og_t2m_mou_7</td>\n",
       "      <td>0.586072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>spl_og_mou_8</td>\n",
       "      <td>0.578406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>loc_og_t2m_mou_6</td>\n",
       "      <td>0.575725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>loc_og_t2f_mou_8</td>\n",
       "      <td>0.572053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>onnet_mou_7</td>\n",
       "      <td>0.564226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>loc_ic_t2f_mou_6</td>\n",
       "      <td>0.558488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>std_og_t2m_mou_8</td>\n",
       "      <td>0.533393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>total_rech_6</td>\n",
       "      <td>0.526750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>std_ic_t2t_mou_8</td>\n",
       "      <td>0.518966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>total_rech_num_6</td>\n",
       "      <td>0.471825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>loc_og_t2t_mou_6</td>\n",
       "      <td>0.470978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>std_og_mou_6</td>\n",
       "      <td>0.464100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>std_og_t2m_mou_7</td>\n",
       "      <td>0.461873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>std_ic_mou_6</td>\n",
       "      <td>0.442706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>spl_ic_mou_8</td>\n",
       "      <td>0.440089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>std_ic_mou_7</td>\n",
       "      <td>0.438995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>std_og_t2t_mou_8</td>\n",
       "      <td>0.425274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>max_rech_amt_6</td>\n",
       "      <td>0.400220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>max_rech_amt_7</td>\n",
       "      <td>0.399601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>av_rech_amt_data_8</td>\n",
       "      <td>0.395138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>std_ic_t2m_mou_6</td>\n",
       "      <td>0.373537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>std_ic_t2m_mou_7</td>\n",
       "      <td>0.369580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>total_data_rech_8</td>\n",
       "      <td>0.367850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>spl_og_mou_7</td>\n",
       "      <td>0.366716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>std_og_t2m_mou_6</td>\n",
       "      <td>0.364364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>roam_og_mou_7</td>\n",
       "      <td>0.363166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>std_og_t2t_mou_7</td>\n",
       "      <td>0.361900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>last_day_rch_amt_7</td>\n",
       "      <td>0.338936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>last_day_rch_amt_6</td>\n",
       "      <td>0.319181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>std_og_t2t_mou_6</td>\n",
       "      <td>0.315176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>std_ic_t2t_mou_7</td>\n",
       "      <td>0.303140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>roam_ic_mou_7</td>\n",
       "      <td>0.296678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>vol_2g_mb_8</td>\n",
       "      <td>0.291327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>std_ic_t2t_mou_6</td>\n",
       "      <td>0.283258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>std_ic_t2f_mou_8</td>\n",
       "      <td>0.273293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>spl_og_mou_6</td>\n",
       "      <td>0.272507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>loc_og_t2f_mou_7</td>\n",
       "      <td>0.245480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>max_rech_data_8</td>\n",
       "      <td>0.241642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>loc_og_t2f_mou_6</td>\n",
       "      <td>0.240007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>ic_others_8</td>\n",
       "      <td>0.230954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>roam_ic_mou_6</td>\n",
       "      <td>0.212510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>loc_og_t2c_mou_7</td>\n",
       "      <td>0.188774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>total_rech_data_8</td>\n",
       "      <td>0.186317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>roam_og_mou_6</td>\n",
       "      <td>0.185861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>loc_og_t2c_mou_8</td>\n",
       "      <td>0.171386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>vol_2g_mb_7</td>\n",
       "      <td>0.163860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>vol_2g_mb_6</td>\n",
       "      <td>0.162204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>vol_3g_mb_8</td>\n",
       "      <td>0.158231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>arpu_2g_8</td>\n",
       "      <td>0.156441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>aug_vbc_3g</td>\n",
       "      <td>0.155279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>total_data_rech_7</td>\n",
       "      <td>0.153190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>ic_others_6</td>\n",
       "      <td>0.145306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>og_others_6</td>\n",
       "      <td>0.142442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>std_ic_t2f_mou_7</td>\n",
       "      <td>0.142157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>av_rech_amt_data_7</td>\n",
       "      <td>0.141727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>av_rech_amt_data_6</td>\n",
       "      <td>0.140256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>isd_ic_mou_8</td>\n",
       "      <td>0.138415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>ic_others_7</td>\n",
       "      <td>0.132306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>total_data_rech_6</td>\n",
       "      <td>0.131642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>loc_og_t2c_mou_6</td>\n",
       "      <td>0.131544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>arpu_2g_7</td>\n",
       "      <td>0.130061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>spl_ic_mou_6</td>\n",
       "      <td>0.127951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>max_rech_data_6</td>\n",
       "      <td>0.126903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>std_ic_t2f_mou_6</td>\n",
       "      <td>0.126331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>isd_ic_mou_6</td>\n",
       "      <td>0.121508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>isd_ic_mou_7</td>\n",
       "      <td>0.116258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>max_rech_data_7</td>\n",
       "      <td>0.114120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>jul_vbc_3g</td>\n",
       "      <td>0.112446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>vol_3g_mb_6</td>\n",
       "      <td>0.106021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>arpu_2g_6</td>\n",
       "      <td>0.105674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>jun_vbc_3g</td>\n",
       "      <td>0.103776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>vol_3g_mb_7</td>\n",
       "      <td>0.101601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>arpu_3g_8</td>\n",
       "      <td>0.092214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>total_rech_data_7</td>\n",
       "      <td>0.089762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>count_rech_2g_8</td>\n",
       "      <td>0.085103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>total_rech_data_6</td>\n",
       "      <td>0.076750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>arpu_3g_7</td>\n",
       "      <td>0.074011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>spl_ic_mou_7</td>\n",
       "      <td>0.070070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>std_og_t2f_mou_6</td>\n",
       "      <td>0.067081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>arpu_3g_6</td>\n",
       "      <td>0.062816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>std_og_t2f_mou_7</td>\n",
       "      <td>0.061960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>std_og_t2f_mou_8</td>\n",
       "      <td>0.048279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>count_rech_2g_7</td>\n",
       "      <td>0.046611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>sachet_2g_8</td>\n",
       "      <td>0.045647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>count_rech_2g_6</td>\n",
       "      <td>0.045474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>sachet_2g_7</td>\n",
       "      <td>0.044240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>sachet_2g_6</td>\n",
       "      <td>0.041068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>monthly_3g_8</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>sachet_3g_6</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>sachet_3g_7</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>sachet_3g_8</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>monthly_3g_7</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>monthly_3g_6</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>loc_ic_t2o_mou</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>std_ic_t2o_mou_7</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>count_rech_3g_7</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>monthly_2g_8</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>isd_og_mou_6</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>std_ic_t2o_mou_6</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>std_og_t2o_mou</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>og_others_8</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>og_others_7</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>isd_og_mou_8</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>isd_og_mou_7</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>std_og_t2c_mou_8</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>monthly_2g_7</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>std_og_t2c_mou_7</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>std_og_t2c_mou_6</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>count_rech_3g_6</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>std_ic_t2o_mou_8</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>count_rech_3g_8</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>monthly_2g_6</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>loc_og_t2o_mou</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              variables  importance_percentage\n",
       "0        total_ic_mou_8               6.389775\n",
       "1          loc_ic_mou_8               5.677185\n",
       "2      loc_ic_t2m_mou_8               4.888871\n",
       "3        total_og_mou_8               4.142399\n",
       "4      loc_ic_t2t_mou_8               4.093693\n",
       "5          loc_og_mou_8               3.233580\n",
       "6          total_rech_8               3.188981\n",
       "7         roam_og_mou_8               3.005022\n",
       "8    last_day_rch_amt_8               2.953782\n",
       "9      loc_og_t2t_mou_8               2.843940\n",
       "10     loc_og_t2m_mou_8               2.319693\n",
       "11        roam_ic_mou_8               2.251011\n",
       "12       max_rech_amt_8               2.084364\n",
       "13               arpu_8               2.025167\n",
       "14     total_rech_amt_8               1.956531\n",
       "15         std_ic_mou_8               1.871090\n",
       "16         offnet_mou_8               1.833296\n",
       "17     loc_ic_t2m_mou_7               1.460782\n",
       "18          onnet_mou_8               1.220559\n",
       "19         loc_ic_mou_7               1.215383\n",
       "20       total_ic_mou_7               1.074539\n",
       "21                  aon               1.017475\n",
       "22       total_og_mou_7               0.989839\n",
       "23         std_og_mou_8               0.972257\n",
       "24     loc_ic_t2t_mou_7               0.891815\n",
       "25     loc_ic_t2f_mou_8               0.862946\n",
       "26         loc_og_mou_7               0.817266\n",
       "27     loc_og_t2t_mou_7               0.799573\n",
       "28               arpu_7               0.767965\n",
       "29         loc_ic_mou_6               0.751173\n",
       "30     loc_ic_t2m_mou_6               0.728700\n",
       "31         offnet_mou_7               0.701282\n",
       "32     total_rech_amt_7               0.701134\n",
       "33       total_ic_mou_6               0.699200\n",
       "34     total_rech_num_8               0.665782\n",
       "35     std_ic_t2m_mou_8               0.650513\n",
       "36     loc_ic_t2f_mou_7               0.650389\n",
       "37               arpu_6               0.630843\n",
       "38     loc_ic_t2t_mou_6               0.622123\n",
       "39     total_rech_num_7               0.619383\n",
       "40         loc_og_mou_6               0.610798\n",
       "41       total_og_mou_6               0.609126\n",
       "42         total_rech_7               0.607666\n",
       "43         std_og_mou_7               0.596985\n",
       "44          onnet_mou_6               0.595045\n",
       "45         offnet_mou_6               0.594478\n",
       "46     total_rech_amt_6               0.589448\n",
       "47     loc_og_t2m_mou_7               0.586072\n",
       "48         spl_og_mou_8               0.578406\n",
       "49     loc_og_t2m_mou_6               0.575725\n",
       "50     loc_og_t2f_mou_8               0.572053\n",
       "51          onnet_mou_7               0.564226\n",
       "52     loc_ic_t2f_mou_6               0.558488\n",
       "53     std_og_t2m_mou_8               0.533393\n",
       "54         total_rech_6               0.526750\n",
       "55     std_ic_t2t_mou_8               0.518966\n",
       "56     total_rech_num_6               0.471825\n",
       "57     loc_og_t2t_mou_6               0.470978\n",
       "58         std_og_mou_6               0.464100\n",
       "59     std_og_t2m_mou_7               0.461873\n",
       "60         std_ic_mou_6               0.442706\n",
       "61         spl_ic_mou_8               0.440089\n",
       "62         std_ic_mou_7               0.438995\n",
       "63     std_og_t2t_mou_8               0.425274\n",
       "64       max_rech_amt_6               0.400220\n",
       "65       max_rech_amt_7               0.399601\n",
       "66   av_rech_amt_data_8               0.395138\n",
       "67     std_ic_t2m_mou_6               0.373537\n",
       "68     std_ic_t2m_mou_7               0.369580\n",
       "69    total_data_rech_8               0.367850\n",
       "70         spl_og_mou_7               0.366716\n",
       "71     std_og_t2m_mou_6               0.364364\n",
       "72        roam_og_mou_7               0.363166\n",
       "73     std_og_t2t_mou_7               0.361900\n",
       "74   last_day_rch_amt_7               0.338936\n",
       "75   last_day_rch_amt_6               0.319181\n",
       "76     std_og_t2t_mou_6               0.315176\n",
       "77     std_ic_t2t_mou_7               0.303140\n",
       "78        roam_ic_mou_7               0.296678\n",
       "79          vol_2g_mb_8               0.291327\n",
       "80     std_ic_t2t_mou_6               0.283258\n",
       "81     std_ic_t2f_mou_8               0.273293\n",
       "82         spl_og_mou_6               0.272507\n",
       "83     loc_og_t2f_mou_7               0.245480\n",
       "84      max_rech_data_8               0.241642\n",
       "85     loc_og_t2f_mou_6               0.240007\n",
       "86          ic_others_8               0.230954\n",
       "87        roam_ic_mou_6               0.212510\n",
       "88     loc_og_t2c_mou_7               0.188774\n",
       "89    total_rech_data_8               0.186317\n",
       "90        roam_og_mou_6               0.185861\n",
       "91     loc_og_t2c_mou_8               0.171386\n",
       "92          vol_2g_mb_7               0.163860\n",
       "93          vol_2g_mb_6               0.162204\n",
       "94          vol_3g_mb_8               0.158231\n",
       "95            arpu_2g_8               0.156441\n",
       "96           aug_vbc_3g               0.155279\n",
       "97    total_data_rech_7               0.153190\n",
       "98          ic_others_6               0.145306\n",
       "99          og_others_6               0.142442\n",
       "100    std_ic_t2f_mou_7               0.142157\n",
       "101  av_rech_amt_data_7               0.141727\n",
       "102  av_rech_amt_data_6               0.140256\n",
       "103        isd_ic_mou_8               0.138415\n",
       "104         ic_others_7               0.132306\n",
       "105   total_data_rech_6               0.131642\n",
       "106    loc_og_t2c_mou_6               0.131544\n",
       "107           arpu_2g_7               0.130061\n",
       "108        spl_ic_mou_6               0.127951\n",
       "109     max_rech_data_6               0.126903\n",
       "110    std_ic_t2f_mou_6               0.126331\n",
       "111        isd_ic_mou_6               0.121508\n",
       "112        isd_ic_mou_7               0.116258\n",
       "113     max_rech_data_7               0.114120\n",
       "114          jul_vbc_3g               0.112446\n",
       "115         vol_3g_mb_6               0.106021\n",
       "116           arpu_2g_6               0.105674\n",
       "117          jun_vbc_3g               0.103776\n",
       "118         vol_3g_mb_7               0.101601\n",
       "119           arpu_3g_8               0.092214\n",
       "120   total_rech_data_7               0.089762\n",
       "121     count_rech_2g_8               0.085103\n",
       "122   total_rech_data_6               0.076750\n",
       "123           arpu_3g_7               0.074011\n",
       "124        spl_ic_mou_7               0.070070\n",
       "125    std_og_t2f_mou_6               0.067081\n",
       "126           arpu_3g_6               0.062816\n",
       "127    std_og_t2f_mou_7               0.061960\n",
       "128    std_og_t2f_mou_8               0.048279\n",
       "129     count_rech_2g_7               0.046611\n",
       "130         sachet_2g_8               0.045647\n",
       "131     count_rech_2g_6               0.045474\n",
       "132         sachet_2g_7               0.044240\n",
       "133         sachet_2g_6               0.041068\n",
       "134        monthly_3g_8               0.000000\n",
       "135         sachet_3g_6               0.000000\n",
       "136         sachet_3g_7               0.000000\n",
       "137         sachet_3g_8               0.000000\n",
       "138        monthly_3g_7               0.000000\n",
       "139        monthly_3g_6               0.000000\n",
       "140      loc_ic_t2o_mou               0.000000\n",
       "141    std_ic_t2o_mou_7               0.000000\n",
       "142     count_rech_3g_7               0.000000\n",
       "143        monthly_2g_8               0.000000\n",
       "144        isd_og_mou_6               0.000000\n",
       "145    std_ic_t2o_mou_6               0.000000\n",
       "146      std_og_t2o_mou               0.000000\n",
       "147         og_others_8               0.000000\n",
       "148         og_others_7               0.000000\n",
       "149        isd_og_mou_8               0.000000\n",
       "150        isd_og_mou_7               0.000000\n",
       "151    std_og_t2c_mou_8               0.000000\n",
       "152        monthly_2g_7               0.000000\n",
       "153    std_og_t2c_mou_7               0.000000\n",
       "154    std_og_t2c_mou_6               0.000000\n",
       "155     count_rech_3g_6               0.000000\n",
       "156    std_ic_t2o_mou_8               0.000000\n",
       "157     count_rech_3g_8               0.000000\n",
       "158        monthly_2g_6               0.000000\n",
       "159      loc_og_t2o_mou               0.000000"
      ]
     },
     "execution_count": 375,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features = train.drop('churn_probability', axis=1).columns\n",
    "importance = rf_model.feature_importances_\n",
    "feature_importance = pd.DataFrame({'variables': features, 'importance_percentage': importance*100})\n",
    "feature_importance = feature_importance[['variables', 'importance_percentage']]\n",
    "feature_importance = feature_importance.sort_values('importance_percentage', ascending=False).reset_index(drop=True)\n",
    "print(\"Sum of importance=\", feature_importance.importance_percentage.sum())\n",
    "feature_importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_features = feature_importance.variables[0:30]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 381,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot feature correlation\n",
    "mycmap = sns.diverging_palette(199,359,s=99,center=\"light\",as_cmap=True)\n",
    "sns.heatmap(data=X_train[top_features].corr(),center=0.0,cmap=mycmap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = X_train[top_features]\n",
    "X_test = X_test[top_features]\n",
    "steps = [('scaler', StandardScaler()),(\"logistic\",LogisticRegression(class_weight={0:0.1,1:0.9}))]\n",
    "logistic = Pipeline(steps)\n",
    "params = {'logistic__C': [0.1, 0.5, 1, 2, 3, 4, 5, 10], 'logistic__penalty': ['l1', 'l2']}\n",
    "folds = StratifiedKFold(n_splits = 5, shuffle = True, random_state = 4)\n",
    "model = GridSearchCV(estimator=logistic, cv=folds, param_grid=params, scoring='roc_auc', n_jobs=-1, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 16 candidates, totalling 80 fits\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=StratifiedKFold(n_splits=5, random_state=4, shuffle=True),\n",
       "             estimator=Pipeline(steps=[('scaler', StandardScaler()),\n",
       "                                       ('logistic',\n",
       "                                        LogisticRegression(class_weight={0: 0.1,\n",
       "                                                                         1: 0.9}))]),\n",
       "             n_jobs=-1,\n",
       "             param_grid={'logistic__C': [0.1, 0.5, 1, 2, 3, 4, 5, 10],\n",
       "                         'logistic__penalty': ['l1', 'l2']},\n",
       "             scoring='roc_auc', verbose=1)"
      ]
     },
     "execution_count": 384,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fit model\n",
    "model.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best AUC: 0.8904828481814769\n",
      "Best hyperparameters: {'logistic__C': 0.5, 'logistic__penalty': 'l2'}\n"
     ]
    }
   ],
   "source": [
    "# print best hyperparameters\n",
    "print(\"Best AUC:\", model.best_score_)\n",
    "print(\"Best hyperparameters:\", model.best_params_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[12509  3208]\n",
      " [  211  1572]]\n",
      "Sensitivity:0.88\n",
      "Specificity:0.8\n",
      "ROC: 0.9\n"
     ]
    }
   ],
   "source": [
    "# predict churn on test data\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "# create onfusion matrix\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "print(cm)\n",
    "\n",
    "# check sensitivity and specificity\n",
    "sensitivity, specificity, _ = sensitivity_specificity_support(y_test, y_pred, average='binary')\n",
    "print(\"Sensitivity:\", round(sensitivity, 2), \"\\n\", \"Specificity:\", round(specificity, 2), sep='')\n",
    "y_pred_prob = model.predict_proba(X_test)[:, 1]\n",
    "print(\"ROC:\", round(roc_auc_score(y_test, y_pred_prob),2))"
   ]
  }
 ],
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