Tutorial.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# OBJECTIVE:\n",
    "# Build a predictive model to estimate the status of a loan after 360 days"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "For the purposes of this excercise we will use a sample size of \"MOCK-UP DATA\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Stages:\n",
    "    1. Install libraries and Packages \n",
    "    2. Import + explore dataset\n",
    "    3. Pre-processing the data\n",
    "    4. Feature selection\n",
    "    5. Building ML Classification Model \n",
    "    6. Test accuracy of Model\n",
    "    7. Improve + Iterate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# 1. Install Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Krupa Suchak\\Anaconda2\\lib\\site-packages\\sklearn\\cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.\n",
      "  \"This module will be removed in 0.20.\", DeprecationWarning)\n"
     ]
    }
   ],
   "source": [
    "# importing necessary libraries for analysis, building models and visualization.\n",
    "%matplotlib inline\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import random\n",
    "\n",
    "from sklearn.feature_selection import SelectKBest\n",
    "from sklearn.cross_validation import train_test_split\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn import tree\n",
    "from sklearn.ensemble import GradientBoostingClassifier"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Importing + Exploring Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# importing a random sample of 1000 rows \n",
    "# converting an excel file to a pandas dataframe for analysis.\n",
    "random.seed(1)\n",
    "filename = 'SyntheticData.xls'\n",
    "n = 9195 - 1 #number of records in file (excludes header)\n",
    "s = 1000 #desired sample size\n",
    "skip = sorted(random.sample(xrange(1,n),n-s))\n",
    "\n",
    "df = pd.read_excel(filename, header=0, skiprows=skip)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## First order of business - drop duplicates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clean file so no duplicates!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1001, 13)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking the size of our dataframe - 15 columns and 9195 rows\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1001 entries, 0 to 1000\n",
      "Data columns (total 13 columns):\n",
      "Product           1001 non-null object\n",
      "CustomerGender    1001 non-null object\n",
      "Location          1001 non-null object\n",
      "Region            1001 non-null object\n",
      "TotalPrice        1001 non-null int64\n",
      "StartDate         1001 non-null object\n",
      "Deposit           1001 non-null int64\n",
      "DailyRate         1001 non-null int64\n",
      "TotalDays         1001 non-null int64\n",
      "AmountPaid30      1001 non-null int64\n",
      "AmountPaid60      1001 non-null int64\n",
      "AmountPaid360     1001 non-null int64\n",
      "LoanStatus360     1001 non-null object\n",
      "dtypes: int64(7), object(6)\n",
      "memory usage: 109.5+ KB\n"
     ]
    }
   ],
   "source": [
    "# checking the columns and datatype available in our dataframe df.\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>CustomerGender</th>\n",
       "      <th>Location</th>\n",
       "      <th>Region</th>\n",
       "      <th>TotalPrice</th>\n",
       "      <th>StartDate</th>\n",
       "      <th>Deposit</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>TotalDays</th>\n",
       "      <th>AmountPaid30</th>\n",
       "      <th>AmountPaid60</th>\n",
       "      <th>AmountPaid360</th>\n",
       "      <th>LoanStatus360</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Product B</td>\n",
       "      <td>Female</td>\n",
       "      <td>Location 26</td>\n",
       "      <td>Region 3</td>\n",
       "      <td>16600</td>\n",
       "      <td>6/6/2014</td>\n",
       "      <td>2000</td>\n",
       "      <td>40</td>\n",
       "      <td>365</td>\n",
       "      <td>3401</td>\n",
       "      <td>4201</td>\n",
       "      <td>15381</td>\n",
       "      <td>Active</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Product CustomerGender     Location    Region  TotalPrice StartDate  \\\n",
       "1  Product B         Female  Location 26  Region 3       16600  6/6/2014   \n",
       "\n",
       "   Deposit  DailyRate  TotalDays  AmountPaid30  AmountPaid60  AmountPaid360  \\\n",
       "1     2000         40        365          3401          4201          15381   \n",
       "\n",
       "  LoanStatus360  \n",
       "1        Active  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Snippet of data observed in the dataframe \n",
    "df[1:2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Great, our vector contains a lot of numerical datapoints and a number of continuous or categorical objects. We shall asses them seperately and find ways to extract the jist of the given information. By this I mean we will find ways to quantify the non-numeric datapoints so that it can be used as inputs to any of selected machine learning model. This is ever so important for the mere fact that ML models only accept numeric values as inputs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Right off the bat we can say that 'StartDate' becomes continuous using the time step delta which would then require time series analysis. For the purposes of this project, we will stick to standard classification models."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the rest of the features lets identify their corresponding number of categories."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Categorical Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature 'Product' has 6 unique categories\n",
      "Feature 'CustomerGender' has 3 unique categories\n",
      "Feature 'Location' has 259 unique categories\n",
      "Feature 'Region' has 18 unique categories\n",
      "Feature 'StartDate' has 709 unique categories\n",
      "Feature 'LoanStatus360' has 3 unique categories\n"
     ]
    }
   ],
   "source": [
    "# function to identify unique categories of columns with 'object' datatype.\n",
    "for col_name in df.columns:\n",
    "    if df[col_name].dtypes == 'object':\n",
    "        unique_cat = len(df[col_name].unique())\n",
    "        print(\"Feature '{col_name}' has {unique_cat} unique categories\".format(col_name=col_name, unique_cat=unique_cat))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "'LoanStatus360' is our target, y feature we are trying to predict."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "'StartDate' even if considered has way too many categories to create features from individual columns."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "'Region' and 'Location' also have numerous categories in order to be able to extract meaningful signal from each."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For 'CustomerGender' and 'Product' we need to take a deeper dive to under each category and number of vectors associated with each."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Product\n",
       "Product A    339\n",
       "Product B    434\n",
       "Product C    106\n",
       "Product D    102\n",
       "Product E     19\n",
       "Product F      1\n",
       "Name: Location, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Type of products sold and its corresponding sales figure.\n",
    "df['Location'].groupby(df.Product).count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks like Product A and B are most commonly sold. And, Product F has the least, with a scare 5 item sales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CustomerGender\n",
       "Female          366\n",
       "Male            573\n",
       "NotSpecified     62\n",
       "Name: Product, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sales figure based on the gender of buyer.\n",
    "df['Product'].groupby(df.CustomerGender).count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Females loan out 36.6% of the products, Males 57.2% and about 6.2% of the products are sold to unspecified individuals."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "'Product' and 'CustomerGender' seem relevant features and we shall create features for each unique category in the pre-processing stage."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Moving on to numberical features..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TotalPrice</th>\n",
       "      <th>Deposit</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>TotalDays</th>\n",
       "      <th>AmountPaid30</th>\n",
       "      <th>AmountPaid60</th>\n",
       "      <th>AmountPaid360</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1001.000000</td>\n",
       "      <td>1001.000000</td>\n",
       "      <td>1001.000000</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>1001.000000</td>\n",
       "      <td>1001.000000</td>\n",
       "      <td>1001.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>19100.674326</td>\n",
       "      <td>2278.221778</td>\n",
       "      <td>46.088911</td>\n",
       "      <td>365.0</td>\n",
       "      <td>3521.150849</td>\n",
       "      <td>4662.173826</td>\n",
       "      <td>14528.547453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5706.261379</td>\n",
       "      <td>1341.553292</td>\n",
       "      <td>12.643698</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2339.447008</td>\n",
       "      <td>2581.657373</td>\n",
       "      <td>6337.719556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>13775.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>365.0</td>\n",
       "      <td>-2510.000000</td>\n",
       "      <td>-2310.000000</td>\n",
       "      <td>-2000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>16600.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>365.0</td>\n",
       "      <td>2490.000000</td>\n",
       "      <td>3400.000000</td>\n",
       "      <td>11071.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>16600.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>365.0</td>\n",
       "      <td>3400.000000</td>\n",
       "      <td>4380.000000</td>\n",
       "      <td>15230.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>20250.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>365.0</td>\n",
       "      <td>4601.000000</td>\n",
       "      <td>5551.000000</td>\n",
       "      <td>16600.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>69225.000000</td>\n",
       "      <td>9000.000000</td>\n",
       "      <td>165.000000</td>\n",
       "      <td>365.0</td>\n",
       "      <td>14002.000000</td>\n",
       "      <td>23001.000000</td>\n",
       "      <td>69225.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         TotalPrice      Deposit    DailyRate  TotalDays  AmountPaid30  \\\n",
       "count   1001.000000  1001.000000  1001.000000     1001.0   1001.000000   \n",
       "mean   19100.674326  2278.221778    46.088911      365.0   3521.150849   \n",
       "std     5706.261379  1341.553292    12.643698        0.0   2339.447008   \n",
       "min    13775.000000  1000.000000    35.000000      365.0  -2510.000000   \n",
       "25%    16600.000000  2000.000000    40.000000      365.0   2490.000000   \n",
       "50%    16600.000000  2000.000000    40.000000      365.0   3400.000000   \n",
       "75%    20250.000000  2000.000000    50.000000      365.0   4601.000000   \n",
       "max    69225.000000  9000.000000   165.000000      365.0  14002.000000   \n",
       "\n",
       "       AmountPaid60  AmountPaid360  \n",
       "count   1001.000000    1001.000000  \n",
       "mean    4662.173826   14528.547453  \n",
       "std     2581.657373    6337.719556  \n",
       "min    -2310.000000   -2000.000000  \n",
       "25%     3400.000000   11071.000000  \n",
       "50%     4380.000000   15230.000000  \n",
       "75%     5551.000000   16600.000000  \n",
       "max    23001.000000   69225.000000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# let's take a deeper dive into the range and extend of the numerical columns in df\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The min to max gives us an idea on the breath of our dataset, while the mean and std on the distribution. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At max, it shows there are loans taken that are completed by 360 days."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At min, it shows there are products given on loans have turned into bad debts."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__A key take-away is that on average 23.9% of the loans are not paid back by completion of 360 days.__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a deeper look into the unique category of each of the numerical features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2000, 4000, 1000, 2500, 9000], dtype=int64)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Deposit.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Deposit\n",
       "9000     20\n",
       "2500     21\n",
       "4000    170\n",
       "1000    212\n",
       "2000    578\n",
       "Name: Product, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Product'].groupby(df.Deposit).count().sort_values(ascending=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By far, the most common deposit amount is TZS 2000."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 40,  50, 125,  35, 165], dtype=int64)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.DailyRate.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DailyRate\n",
       "165      1\n",
       "35       7\n",
       "125     19\n",
       "50     439\n",
       "40     535\n",
       "Name: Product, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Product'].groupby(df.DailyRate).count().sort_values(ascending=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most common daily rate is TZS 40, shortly followed by TZS 50. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([16600, 22250, 20250, 19250, 20750, 15600, 54625, 13775, 69225], dtype=int64)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.TotalPrice.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TotalPrice\n",
       "69225      1\n",
       "13775      7\n",
       "54625     19\n",
       "20750     21\n",
       "15600     99\n",
       "19250    106\n",
       "20250    142\n",
       "22250    170\n",
       "16600    436\n",
       "Name: Product, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Product'].groupby(df.TotalPrice).count().sort_values(ascending=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This shows that the most demanded product goes for TZS 16,600."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Are product and price related?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc51d588>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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rzrn1XpjFwFBgQi/LJSIiIhlR8RkPM7sQ+D8Eg5W4AwkGImtjy9eG6wBGAtvC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\n/wErdzzLllviOAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc51d080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='Product', y='TotalPrice', style='o')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nope, doesn't look like. But worth a shot to understand out data better."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Looking into bad debts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Product           47\n",
       "CustomerGender    47\n",
       "Location          47\n",
       "Region            47\n",
       "TotalPrice        47\n",
       "StartDate         47\n",
       "Deposit           47\n",
       "DailyRate         47\n",
       "TotalDays         47\n",
       "AmountPaid30      47\n",
       "AmountPaid60      47\n",
       "AmountPaid360     47\n",
       "LoanStatus360     47\n",
       "dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# identifying loans taken on products by day 30 of sale.\n",
    "df[df.AmountPaid30<0].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>CustomerGender</th>\n",
       "      <th>Location</th>\n",
       "      <th>Region</th>\n",
       "      <th>TotalPrice</th>\n",
       "      <th>StartDate</th>\n",
       "      <th>Deposit</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>TotalDays</th>\n",
       "      <th>AmountPaid30</th>\n",
       "      <th>AmountPaid60</th>\n",
       "      <th>AmountPaid360</th>\n",
       "      <th>LoanStatus360</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Product, CustomerGender, Location, Region, TotalPrice, StartDate, Deposit, DailyRate, TotalDays, AmountPaid30, AmountPaid60, AmountPaid360, LoanStatus360]\n",
       "Index: []"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# how many loans taken on other products besides A? \n",
    "df[(df.AmountPaid30<=0) & (df.Product!='Product A')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There were 47 loans taken on product sales by day 30. All on product A."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Product           39\n",
       "CustomerGender    39\n",
       "Location          39\n",
       "Region            39\n",
       "TotalPrice        39\n",
       "StartDate         39\n",
       "Deposit           39\n",
       "DailyRate         39\n",
       "TotalDays         39\n",
       "AmountPaid30      39\n",
       "AmountPaid60      39\n",
       "AmountPaid360     39\n",
       "LoanStatus360     39\n",
       "dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# identifying loans taken on products by day 60 of sale.\n",
    "df[df.AmountPaid60<0].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>CustomerGender</th>\n",
       "      <th>Location</th>\n",
       "      <th>Region</th>\n",
       "      <th>TotalPrice</th>\n",
       "      <th>StartDate</th>\n",
       "      <th>Deposit</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>TotalDays</th>\n",
       "      <th>AmountPaid30</th>\n",
       "      <th>AmountPaid60</th>\n",
       "      <th>AmountPaid360</th>\n",
       "      <th>LoanStatus360</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Product, CustomerGender, Location, Region, TotalPrice, StartDate, Deposit, DailyRate, TotalDays, AmountPaid30, AmountPaid60, AmountPaid360, LoanStatus360]\n",
       "Index: []"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# how many loans taken on other products besides A? \n",
    "df[(df.AmountPaid60<=0) & (df.Product!='Product A')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There were 39 loans taken on product sales by day 30. All on product A."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploring Finished Payments VS Unfinished on Gender Stereotypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Slicing out dataframe for finished loans\n",
    "dff = df[df.LoanStatus360 == 'Finished Payment']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(177, 13)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dff.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CustomerGender\n",
       "Female           49\n",
       "Male            110\n",
       "NotSpecified     18\n",
       "Name: Product, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Off the unfinished loans whats the effect of gender?\n",
    "dff['Product'].groupby(dff.CustomerGender).count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For finished loans, __27.6%__ were females, __62.1%__ males, and __10%__ unspecified."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Slicing out dataframe for unfinished loans\n",
    "dfq = df[df.LoanStatus360 != 'Finished Payment']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CustomerGender\n",
       "Female          317\n",
       "Male            463\n",
       "NotSpecified     44\n",
       "Name: Product, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Off the unfinished loans whats the effect of gender?\n",
    "dfq['Product'].groupby(dfq.CustomerGender).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(824, 13)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfq.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For unfinished loans, __38.5%__ were females, __56.2%__ males, and __5.3%__ unspecified."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Percentage of males is unaffected by finished or unfinished loans."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Percentage of females increases on unfinished payments while that of unspecified decreases. This might be due to increased information from that particular group of females who reveal with time."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Atleast, one of these features, whether females or unspecified will be an important indicator of loan prediction status."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Pre-processing Stage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we will add columns to see how far off track users of the products are in the plans of repaing loans on the 30th day as well as 60th day. For this we shall add 2 more features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Payments off track on day 30\n",
    "df['OffTrack30']=df['AmountPaid30']-(df['DailyRate']*30+df['Deposit'])\n",
    "# Payments off track on day 60\n",
    "df['OffTrack60']=df['AmountPaid60']-(df['DailyRate']*60+df['Deposit'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>CustomerGender</th>\n",
       "      <th>Location</th>\n",
       "      <th>Region</th>\n",
       "      <th>TotalPrice</th>\n",
       "      <th>StartDate</th>\n",
       "      <th>Deposit</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>TotalDays</th>\n",
       "      <th>AmountPaid30</th>\n",
       "      <th>AmountPaid60</th>\n",
       "      <th>AmountPaid360</th>\n",
       "      <th>LoanStatus360</th>\n",
       "      <th>OffTrack30</th>\n",
       "      <th>OffTrack60</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Product B</td>\n",
       "      <td>Female</td>\n",
       "      <td>Location 15</td>\n",
       "      <td>Region 2</td>\n",
       "      <td>16600</td>\n",
       "      <td>5/1/2014</td>\n",
       "      <td>2000</td>\n",
       "      <td>40</td>\n",
       "      <td>365</td>\n",
       "      <td>3160</td>\n",
       "      <td>4480</td>\n",
       "      <td>16380</td>\n",
       "      <td>Active</td>\n",
       "      <td>-40</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Product B</td>\n",
       "      <td>Female</td>\n",
       "      <td>Location 26</td>\n",
       "      <td>Region 3</td>\n",
       "      <td>16600</td>\n",
       "      <td>6/6/2014</td>\n",
       "      <td>2000</td>\n",
       "      <td>40</td>\n",
       "      <td>365</td>\n",
       "      <td>3401</td>\n",
       "      <td>4201</td>\n",
       "      <td>15381</td>\n",
       "      <td>Active</td>\n",
       "      <td>201</td>\n",
       "      <td>-199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Product B</td>\n",
       "      <td>Male</td>\n",
       "      <td>Location 29</td>\n",
       "      <td>Region 1</td>\n",
       "      <td>16600</td>\n",
       "      <td>3/27/2015</td>\n",
       "      <td>2000</td>\n",
       "      <td>40</td>\n",
       "      <td>365</td>\n",
       "      <td>3128</td>\n",
       "      <td>4281</td>\n",
       "      <td>15781</td>\n",
       "      <td>Active</td>\n",
       "      <td>-72</td>\n",
       "      <td>-119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Product B</td>\n",
       "      <td>Male</td>\n",
       "      <td>Location 50</td>\n",
       "      <td>Region 1</td>\n",
       "      <td>16600</td>\n",
       "      <td>3/24/2014</td>\n",
       "      <td>2000</td>\n",
       "      <td>40</td>\n",
       "      <td>365</td>\n",
       "      <td>2920</td>\n",
       "      <td>4200</td>\n",
       "      <td>15400</td>\n",
       "      <td>Active</td>\n",
       "      <td>-280</td>\n",
       "      <td>-200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Product B</td>\n",
       "      <td>Male</td>\n",
       "      <td>Location 26</td>\n",
       "      <td>Region 3</td>\n",
       "      <td>16600</td>\n",
       "      <td>2/22/2015</td>\n",
       "      <td>2000</td>\n",
       "      <td>40</td>\n",
       "      <td>365</td>\n",
       "      <td>3041</td>\n",
       "      <td>3561</td>\n",
       "      <td>9081</td>\n",
       "      <td>Active</td>\n",
       "      <td>-159</td>\n",
       "      <td>-839</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Product CustomerGender     Location    Region  TotalPrice  StartDate  \\\n",
       "0  Product B         Female  Location 15  Region 2       16600   5/1/2014   \n",
       "1  Product B         Female  Location 26  Region 3       16600   6/6/2014   \n",
       "2  Product B           Male  Location 29  Region 1       16600  3/27/2015   \n",
       "3  Product B           Male  Location 50  Region 1       16600  3/24/2014   \n",
       "4  Product B           Male  Location 26  Region 3       16600  2/22/2015   \n",
       "\n",
       "   Deposit  DailyRate  TotalDays  AmountPaid30  AmountPaid60  AmountPaid360  \\\n",
       "0     2000         40        365          3160          4480          16380   \n",
       "1     2000         40        365          3401          4201          15381   \n",
       "2     2000         40        365          3128          4281          15781   \n",
       "3     2000         40        365          2920          4200          15400   \n",
       "4     2000         40        365          3041          3561           9081   \n",
       "\n",
       "  LoanStatus360  OffTrack30  OffTrack60  \n",
       "0        Active         -40          80  \n",
       "1        Active         201        -199  \n",
       "2        Active         -72        -119  \n",
       "3        Active        -280        -200  \n",
       "4        Active        -159        -839  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, dropping off categorical feature with high categories and creating columns for each of the other categories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = df.drop(['Location','Region','StartDate'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>CustomerGender</th>\n",
       "      <th>TotalPrice</th>\n",
       "      <th>Deposit</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>TotalDays</th>\n",
       "      <th>AmountPaid30</th>\n",
       "      <th>AmountPaid60</th>\n",
       "      <th>AmountPaid360</th>\n",
       "      <th>LoanStatus360</th>\n",
       "      <th>OffTrack30</th>\n",
       "      <th>OffTrack60</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Product B</td>\n",
       "      <td>Female</td>\n",
       "      <td>16600</td>\n",
       "      <td>2000</td>\n",
       "      <td>40</td>\n",
       "      <td>365</td>\n",
       "      <td>3401</td>\n",
       "      <td>4201</td>\n",
       "      <td>15381</td>\n",
       "      <td>Active</td>\n",
       "      <td>201</td>\n",
       "      <td>-199</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Product CustomerGender  TotalPrice  Deposit  DailyRate  TotalDays  \\\n",
       "1  Product B         Female       16600     2000         40        365   \n",
       "\n",
       "   AmountPaid30  AmountPaid60  AmountPaid360 LoanStatus360  OffTrack30  \\\n",
       "1          3401          4201          15381        Active         201   \n",
       "\n",
       "   OffTrack60  \n",
       "1        -199  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[1:2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "## .. this way or use One-Hot Encoding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TotalPrice</th>\n",
       "      <th>Deposit</th>\n",
       "      <th>DailyRate</th>\n",
       "      <th>TotalDays</th>\n",
       "      <th>AmountPaid30</th>\n",
       "      <th>AmountPaid60</th>\n",
       "      <th>AmountPaid360</th>\n",
       "      <th>LoanStatus360</th>\n",
       "      <th>OffTrack30</th>\n",
       "      <th>OffTrack60</th>\n",
       "      <th>Product_Product A</th>\n",
       "      <th>Product_Product B</th>\n",
       "      <th>Product_Product C</th>\n",
       "      <th>Product_Product D</th>\n",
       "      <th>Product_Product E</th>\n",
       "      <th>Product_Product F</th>\n",
       "      <th>CustomerGender_Female</th>\n",
       "      <th>CustomerGender_Male</th>\n",
       "      <th>CustomerGender_NotSpecified</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16600</td>\n",
       "      <td>2000</td>\n",
       "      <td>40</td>\n",
       "      <td>365</td>\n",
       "      <td>3160</td>\n",
       "      <td>4480</td>\n",
       "      <td>16380</td>\n",
       "      <td>Active</td>\n",
       "      <td>-40</td>\n",
       "      <td>80</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16600</td>\n",
       "      <td>2000</td>\n",
       "      <td>40</td>\n",
       "      <td>365</td>\n",
       "      <td>3401</td>\n",
       "      <td>4201</td>\n",
       "      <td>15381</td>\n",
       "      <td>Active</td>\n",
       "      <td>201</td>\n",
       "      <td>-199</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16600</td>\n",
       "      <td>2000</td>\n",
       "      <td>40</td>\n",
       "      <td>365</td>\n",
       "      <td>3128</td>\n",
       "      <td>4281</td>\n",
       "      <td>15781</td>\n",
       "      <td>Active</td>\n",
       "      <td>-72</td>\n",
       "      <td>-119</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>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16600</td>\n",
       "      <td>2000</td>\n",
       "      <td>40</td>\n",
       "      <td>365</td>\n",
       "      <td>2920</td>\n",
       "      <td>4200</td>\n",
       "      <td>15400</td>\n",
       "      <td>Active</td>\n",
       "      <td>-280</td>\n",
       "      <td>-200</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>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16600</td>\n",
       "      <td>2000</td>\n",
       "      <td>40</td>\n",
       "      <td>365</td>\n",
       "      <td>3041</td>\n",
       "      <td>3561</td>\n",
       "      <td>9081</td>\n",
       "      <td>Active</td>\n",
       "      <td>-159</td>\n",
       "      <td>-839</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>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   TotalPrice  Deposit  DailyRate  TotalDays  AmountPaid30  AmountPaid60  \\\n",
       "0       16600     2000         40        365          3160          4480   \n",
       "1       16600     2000         40        365          3401          4201   \n",
       "2       16600     2000         40        365          3128          4281   \n",
       "3       16600     2000         40        365          2920          4200   \n",
       "4       16600     2000         40        365          3041          3561   \n",
       "\n",
       "   AmountPaid360 LoanStatus360  OffTrack30  OffTrack60  Product_Product A  \\\n",
       "0          16380        Active         -40          80                  0   \n",
       "1          15381        Active         201        -199                  0   \n",
       "2          15781        Active         -72        -119                  0   \n",
       "3          15400        Active        -280        -200                  0   \n",
       "4           9081        Active        -159        -839                  0   \n",
       "\n",
       "   Product_Product B  Product_Product C  Product_Product D  Product_Product E  \\\n",
       "0                  1                  0                  0                  0   \n",
       "1                  1                  0                  0                  0   \n",
       "2                  1                  0                  0                  0   \n",
       "3                  1                  0                  0                  0   \n",
       "4                  1                  0                  0                  0   \n",
       "\n",
       "   Product_Product F  CustomerGender_Female  CustomerGender_Male  \\\n",
       "0                  0                      1                    0   \n",
       "1                  0                      1                    0   \n",
       "2                  0                      0                    1   \n",
       "3                  0                      0                    1   \n",
       "4                  0                      0                    1   \n",
       "\n",
       "   CustomerGender_NotSpecified  \n",
       "0                            0  \n",
       "1                            0  \n",
       "2                            0  \n",
       "3                            0  \n",
       "4                            0  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "todummy_list = ['Product', 'CustomerGender']\n",
    "\n",
    "def dummy_df(data, todummy_list):\n",
    "    for x in todummy_list:\n",
    "        dummies = pd.get_dummies(data[x], prefix=x, dummy_na=False)\n",
    "        data = data.drop(x, 1)\n",
    "        data = pd.concat([data, dummies], axis=1)\n",
    "    return data\n",
    "\n",
    "X = dummy_df(data,todummy_list)\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Crucial to fill null values before injecting it into our ML model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "X.fillna('0');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1001, 19)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have 19 features to work with."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How do these feature correlate? Can we drop of some more if they are highly correlated?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Krupa Suchak\\Anaconda2\\lib\\site-packages\\matplotlib\\colors.py:581: RuntimeWarning: invalid value encountered in less\n",
      "  cbook._putmask(xa, xa < 0.0, -1)\n"
     ]
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col4 {\n",
       "            \n",
       "                background-color:  #f6bfa6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col5 {\n",
       "            \n",
       "                background-color:  #f7b194;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col6 {\n",
       "            \n",
       "                background-color:  #f7ac8e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col7 {\n",
       "            \n",
       "                background-color:  #89acfd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col8 {\n",
       "            \n",
       "                background-color:  #7396f5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col9 {\n",
       "            \n",
       "                background-color:  #e4d9d2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col10 {\n",
       "            \n",
       "                background-color:  #6a8bef;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col11 {\n",
       "            \n",
       "                background-color:  #5470de;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col12 {\n",
       "            \n",
       "                background-color:  #96b7ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col13 {\n",
       "            \n",
       "                background-color:  #dc5d4a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col14 {\n",
       "            \n",
       "                background-color:  #9ebeff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col15 {\n",
       "            \n",
       "                background-color:  #d8dce2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col16 {\n",
       "            \n",
       "                background-color:  #dbdcde;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col17 {\n",
       "            \n",
       "                background-color:  #5b7ae5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col0 {\n",
       "            \n",
       "                background-color:  #d85646;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col1 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col2 {\n",
       "            \n",
       "                background-color:  #e7745b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col4 {\n",
       "            \n",
       "                background-color:  #ec7f63;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col5 {\n",
       "            \n",
       "                background-color:  #ea7b60;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col6 {\n",
       "            \n",
       "                background-color:  #f7b194;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col7 {\n",
       "            \n",
       "                background-color:  #bed2f6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col8 {\n",
       "            \n",
       "                background-color:  #a9c6fd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col9 {\n",
       "            \n",
       "                background-color:  #e4d9d2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col10 {\n",
       "            \n",
       "                background-color:  #94b6ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col11 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col12 {\n",
       "            \n",
       "                background-color:  #7295f4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col13 {\n",
       "            \n",
       "                background-color:  #f6a283;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col14 {\n",
       "            \n",
       "                background-color:  #7597f6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col15 {\n",
       "            \n",
       "                background-color:  #d9dce1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col16 {\n",
       "            \n",
       "                background-color:  #e0dbd8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col17 {\n",
       "            \n",
       "                background-color:  #465ecf;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col0 {\n",
       "            \n",
       "                background-color:  #b70d28;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col1 {\n",
       "            \n",
       "                background-color:  #e97a5f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col2 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col4 {\n",
       "            \n",
       "                background-color:  #edd2c3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col5 {\n",
       "            \n",
       "                background-color:  #f4c6af;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col6 {\n",
       "            \n",
       "                background-color:  #f7b497;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col7 {\n",
       "            \n",
       "                background-color:  #7a9df8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col8 {\n",
       "            \n",
       "                background-color:  #6687ed;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col9 {\n",
       "            \n",
       "                background-color:  #e2dad5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col10 {\n",
       "            \n",
       "                background-color:  #6282ea;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col11 {\n",
       "            \n",
       "                background-color:  #5e7de7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col12 {\n",
       "            \n",
       "                background-color:  #9fbfff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col13 {\n",
       "            \n",
       "                background-color:  #da5a49;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col14 {\n",
       "            \n",
       "                background-color:  #a5c3fe;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col15 {\n",
       "            \n",
       "                background-color:  #d7dce3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col16 {\n",
       "            \n",
       "                background-color:  #d9dce1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col17 {\n",
       "            \n",
       "                background-color:  #6485ec;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col0 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col1 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col2 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col4 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col5 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col6 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col7 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col8 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col9 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col10 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col11 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col12 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col13 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col14 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col15 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col16 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col17 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col0 {\n",
       "            \n",
       "                background-color:  #f7ac8e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col1 {\n",
       "            \n",
       "                background-color:  #e67259;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col2 {\n",
       "            \n",
       "                background-color:  #f6bea4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col4 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col5 {\n",
       "            \n",
       "                background-color:  #c32e31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col6 {\n",
       "            \n",
       "                background-color:  #f7aa8c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col7 {\n",
       "            \n",
       "                background-color:  #ee8468;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col8 {\n",
       "            \n",
       "                background-color:  #f7a889;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col9 {\n",
       "            \n",
       "                background-color:  #a2c1ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col10 {\n",
       "            \n",
       "                background-color:  #bbd1f8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col11 {\n",
       "            \n",
       "                background-color:  #6384eb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col12 {\n",
       "            \n",
       "                background-color:  #9fbfff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col13 {\n",
       "            \n",
       "                background-color:  #edd1c2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col14 {\n",
       "            \n",
       "                background-color:  #6e90f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col15 {\n",
       "            \n",
       "                background-color:  #cbd8ee;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col16 {\n",
       "            \n",
       "                background-color:  #e4d9d2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col17 {\n",
       "            \n",
       "                background-color:  #6687ed;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col0 {\n",
       "            \n",
       "                background-color:  #f59f80;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col1 {\n",
       "            \n",
       "                background-color:  #e57058;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col2 {\n",
       "            \n",
       "                background-color:  #f7b093;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col4 {\n",
       "            \n",
       "                background-color:  #c32e31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col5 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col6 {\n",
       "            \n",
       "                background-color:  #f18f71;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col7 {\n",
       "            \n",
       "                background-color:  #f5a081;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col8 {\n",
       "            \n",
       "                background-color:  #f59c7d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col9 {\n",
       "            \n",
       "                background-color:  #abc8fd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col10 {\n",
       "            \n",
       "                background-color:  #b1cbfc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col11 {\n",
       "            \n",
       "                background-color:  #6282ea;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col12 {\n",
       "            \n",
       "                background-color:  #9fbfff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col13 {\n",
       "            \n",
       "                background-color:  #f2cbb7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col14 {\n",
       "            \n",
       "                background-color:  #7a9df8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col15 {\n",
       "            \n",
       "                background-color:  #ccd9ed;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col16 {\n",
       "            \n",
       "                background-color:  #e3d9d3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col17 {\n",
       "            \n",
       "                background-color:  #6687ed;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col0 {\n",
       "            \n",
       "                background-color:  #f59d7e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col1 {\n",
       "            \n",
       "                background-color:  #f7a889;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col2 {\n",
       "            \n",
       "                background-color:  #f6a283;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col4 {\n",
       "            \n",
       "                background-color:  #f7af91;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col5 {\n",
       "            \n",
       "                background-color:  #f29274;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col6 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col7 {\n",
       "            \n",
       "                background-color:  #dedcdb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col8 {\n",
       "            \n",
       "                background-color:  #e4d9d2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col9 {\n",
       "            \n",
       "                background-color:  #c3d5f4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col10 {\n",
       "            \n",
       "                background-color:  #90b2fe;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col11 {\n",
       "            \n",
       "                background-color:  #7295f4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col12 {\n",
       "            \n",
       "                background-color:  #a2c1ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col13 {\n",
       "            \n",
       "                background-color:  #eed0c0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col14 {\n",
       "            \n",
       "                background-color:  #9bbcff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col15 {\n",
       "            \n",
       "                background-color:  #cdd9ec;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col16 {\n",
       "            \n",
       "                background-color:  #dddcdc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col17 {\n",
       "            \n",
       "                background-color:  #779af7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col0 {\n",
       "            \n",
       "                background-color:  #7ea1fa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col1 {\n",
       "            \n",
       "                background-color:  #aec9fc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col2 {\n",
       "            \n",
       "                background-color:  #779af7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col4 {\n",
       "            \n",
       "                background-color:  #f49a7b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col5 {\n",
       "            \n",
       "                background-color:  #f7b79b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col6 {\n",
       "            \n",
       "                background-color:  #c3d5f4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col7 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col8 {\n",
       "            \n",
       "                background-color:  #cf453c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col9 {\n",
       "            \n",
       "                background-color:  #5e7de7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col10 {\n",
       "            \n",
       "                background-color:  #e8d6cc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col11 {\n",
       "            \n",
       "                background-color:  #a5c3fe;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col12 {\n",
       "            \n",
       "                background-color:  #b6cefa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col13 {\n",
       "            \n",
       "                background-color:  #536edd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col14 {\n",
       "            \n",
       "                background-color:  #4257c9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col15 {\n",
       "            \n",
       "                background-color:  #c0d4f5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col16 {\n",
       "            \n",
       "                background-color:  #e1dad6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col17 {\n",
       "            \n",
       "                background-color:  #97b8ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col0 {\n",
       "            \n",
       "                background-color:  #7295f4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col1 {\n",
       "            \n",
       "                background-color:  #9dbdff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col2 {\n",
       "            \n",
       "                background-color:  #6c8ff1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col4 {\n",
       "            \n",
       "                background-color:  #f6bda2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col5 {\n",
       "            \n",
       "                background-color:  #f7b093;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col6 {\n",
       "            \n",
       "                background-color:  #d1dae9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col7 {\n",
       "            \n",
       "                background-color:  #cd423b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col8 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col9 {\n",
       "            \n",
       "                background-color:  #6788ee;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col10 {\n",
       "            \n",
       "                background-color:  #e6d7cf;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col11 {\n",
       "            \n",
       "                background-color:  #a5c3fe;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col12 {\n",
       "            \n",
       "                background-color:  #aec9fc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col13 {\n",
       "            \n",
       "                background-color:  #3f53c6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col14 {\n",
       "            \n",
       "                background-color:  #455cce;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col15 {\n",
       "            \n",
       "                background-color:  #c1d4f4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col16 {\n",
       "            \n",
       "                background-color:  #e0dbd8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col17 {\n",
       "            \n",
       "                background-color:  #98b9ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col0 {\n",
       "            \n",
       "                background-color:  #cedaeb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col1 {\n",
       "            \n",
       "                background-color:  #c7d7f0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col2 {\n",
       "            \n",
       "                background-color:  #cfdaea;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col4 {\n",
       "            \n",
       "                background-color:  #4358cb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col5 {\n",
       "            \n",
       "                background-color:  #516ddb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col6 {\n",
       "            \n",
       "                background-color:  #7b9ff9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col7 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col8 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col9 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col10 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col11 {\n",
       "            \n",
       "                background-color:  #4c66d6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col12 {\n",
       "            \n",
       "                background-color:  #465ecf;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col13 {\n",
       "            \n",
       "                background-color:  #4055c8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col14 {\n",
       "            \n",
       "                background-color:  #3c4ec2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col15 {\n",
       "            \n",
       "                background-color:  #e7d7ce;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col16 {\n",
       "            \n",
       "                background-color:  #cdd9ec;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col17 {\n",
       "            \n",
       "                background-color:  #5572df;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col0 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col1 {\n",
       "            \n",
       "                background-color:  #5d7ce6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col2 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col4 {\n",
       "            \n",
       "                background-color:  #6384eb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col5 {\n",
       "            \n",
       "                background-color:  #5673e0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col6 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col7 {\n",
       "            \n",
       "                background-color:  #d9dce1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col8 {\n",
       "            \n",
       "                background-color:  #d3dbe7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col9 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col10 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col11 {\n",
       "            \n",
       "                background-color:  #4055c8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col12 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col13 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col14 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col15 {\n",
       "            \n",
       "                background-color:  #d6dce4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col16 {\n",
       "            \n",
       "                background-color:  #e1dad6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col17 {\n",
       "            \n",
       "                background-color:  #4b64d5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col0 {\n",
       "            \n",
       "                background-color:  #5f7fe8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col1 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col2 {\n",
       "            \n",
       "                background-color:  #7295f4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col4 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col5 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col6 {\n",
       "            \n",
       "                background-color:  #5673e0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col7 {\n",
       "            \n",
       "                background-color:  #b6cefa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col8 {\n",
       "            \n",
       "                background-color:  #afcafc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col9 {\n",
       "            \n",
       "                background-color:  #86a9fc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col10 {\n",
       "            \n",
       "                background-color:  #7b9ff9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col11 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col12 {\n",
       "            \n",
       "                background-color:  #6687ed;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col13 {\n",
       "            \n",
       "                background-color:  #4e68d8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col14 {\n",
       "            \n",
       "                background-color:  #3f53c6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col15 {\n",
       "            \n",
       "                background-color:  #c6d6f1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col16 {\n",
       "            \n",
       "                background-color:  #a6c4fe;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col17 {\n",
       "            \n",
       "                background-color:  #ec8165;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col0 {\n",
       "            \n",
       "                background-color:  #a6c4fe;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col1 {\n",
       "            \n",
       "                background-color:  #799cf8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col2 {\n",
       "            \n",
       "                background-color:  #b5cdfa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col4 {\n",
       "            \n",
       "                background-color:  #81a4fb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col5 {\n",
       "            \n",
       "                background-color:  #82a6fb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col6 {\n",
       "            \n",
       "                background-color:  #90b2fe;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col7 {\n",
       "            \n",
       "                background-color:  #cad8ef;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col8 {\n",
       "            \n",
       "                background-color:  #bed2f6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col9 {\n",
       "            \n",
       "                background-color:  #88abfd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col10 {\n",
       "            \n",
       "                background-color:  #7da0f9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col11 {\n",
       "            \n",
       "                background-color:  #6c8ff1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col12 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col13 {\n",
       "            \n",
       "                background-color:  #4f69d9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col14 {\n",
       "            \n",
       "                background-color:  #3f53c6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col15 {\n",
       "            \n",
       "                background-color:  #bcd2f7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col16 {\n",
       "            \n",
       "                background-color:  #ecd3c5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col17 {\n",
       "            \n",
       "                background-color:  #6e90f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col0 {\n",
       "            \n",
       "                background-color:  #d55042;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col1 {\n",
       "            \n",
       "                background-color:  #f29072;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col2 {\n",
       "            \n",
       "                background-color:  #d44e41;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col4 {\n",
       "            \n",
       "                background-color:  #efcebd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col5 {\n",
       "            \n",
       "                background-color:  #f3c8b2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col6 {\n",
       "            \n",
       "                background-color:  #f2c9b4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col7 {\n",
       "            \n",
       "                background-color:  #98b9ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col8 {\n",
       "            \n",
       "                background-color:  #7ea1fa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col9 {\n",
       "            \n",
       "                background-color:  #a6c4fe;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col10 {\n",
       "            \n",
       "                background-color:  #a2c1ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col11 {\n",
       "            \n",
       "                background-color:  #80a3fa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col12 {\n",
       "            \n",
       "                background-color:  #799cf8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col13 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col14 {\n",
       "            \n",
       "                background-color:  #4055c8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col15 {\n",
       "            \n",
       "                background-color:  #d6dce4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col16 {\n",
       "            \n",
       "                background-color:  #d4dbe6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col17 {\n",
       "            \n",
       "                background-color:  #7b9ff9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col0 {\n",
       "            \n",
       "                background-color:  #d7dce3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col1 {\n",
       "            \n",
       "                background-color:  #b5cdfa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col2 {\n",
       "            \n",
       "                background-color:  #dedcdb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col4 {\n",
       "            \n",
       "                background-color:  #8db0fe;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col5 {\n",
       "            \n",
       "                background-color:  #9bbcff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col6 {\n",
       "            \n",
       "                background-color:  #bfd3f6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col7 {\n",
       "            \n",
       "                background-color:  #9fbfff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col8 {\n",
       "            \n",
       "                background-color:  #9bbcff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col9 {\n",
       "            \n",
       "                background-color:  #b7cff9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col10 {\n",
       "            \n",
       "                background-color:  #b6cefa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col11 {\n",
       "            \n",
       "                background-color:  #89acfd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col12 {\n",
       "            \n",
       "                background-color:  #82a6fb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col13 {\n",
       "            \n",
       "                background-color:  #5a78e4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col14 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col15 {\n",
       "            \n",
       "                background-color:  #d1dae9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col16 {\n",
       "            \n",
       "                background-color:  #d8dce2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col17 {\n",
       "            \n",
       "                background-color:  #84a7fc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col0 {\n",
       "            \n",
       "                background-color:  #9dbdff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col1 {\n",
       "            \n",
       "                background-color:  #94b6ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col2 {\n",
       "            \n",
       "                background-color:  #a2c1ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col4 {\n",
       "            \n",
       "                background-color:  #536edd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col5 {\n",
       "            \n",
       "                background-color:  #5572df;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col6 {\n",
       "            \n",
       "                background-color:  #6485ec;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col7 {\n",
       "            \n",
       "                background-color:  #81a4fb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col8 {\n",
       "            \n",
       "                background-color:  #7a9df8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col9 {\n",
       "            \n",
       "                background-color:  #d4dbe6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col10 {\n",
       "            \n",
       "                background-color:  #bed2f6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col11 {\n",
       "            \n",
       "                background-color:  #7396f5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col12 {\n",
       "            \n",
       "                background-color:  #5e7de7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col13 {\n",
       "            \n",
       "                background-color:  #6180e9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col14 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col15 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col16 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col17 {\n",
       "            \n",
       "                background-color:  #536edd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col0 {\n",
       "            \n",
       "                background-color:  #a3c2fe;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col1 {\n",
       "            \n",
       "                background-color:  #a2c1ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col2 {\n",
       "            \n",
       "                background-color:  #a6c4fe;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col4 {\n",
       "            \n",
       "                background-color:  #88abfd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col5 {\n",
       "            \n",
       "                background-color:  #86a9fc;\n",
       "            \n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col6 {\n",
       "            \n",
       "                background-color:  #84a7fc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col7 {\n",
       "            \n",
       "                background-color:  #b6cefa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col8 {\n",
       "            \n",
       "                background-color:  #adc9fd;\n",
       "            \n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col9 {\n",
       "            \n",
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       "            \n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col10 {\n",
       "            \n",
       "                background-color:  #cdd9ec;\n",
       "            \n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col11 {\n",
       "            \n",
       "                background-color:  #465ecf;\n",
       "            \n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col12 {\n",
       "            \n",
       "                background-color:  #b6cefa;\n",
       "            \n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col13 {\n",
       "            \n",
       "                background-color:  #5d7ce6;\n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col14 {\n",
       "            \n",
       "                background-color:  #4a63d3;\n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col15 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col16 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col17 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
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       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col0 {\n",
       "            \n",
       "                background-color:  #6e90f2;\n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col1 {\n",
       "            \n",
       "                background-color:  #4e68d8;\n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col2 {\n",
       "            \n",
       "                background-color:  #7ea1fa;\n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col4 {\n",
       "            \n",
       "                background-color:  #445acc;\n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col5 {\n",
       "            \n",
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       "        \n",
       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col6 {\n",
       "            \n",
       "                background-color:  #6282ea;\n",
       "            \n",
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       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col7 {\n",
       "            \n",
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       "            \n",
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       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col12 {\n",
       "            \n",
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       "            \n",
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       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col14 {\n",
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       "            \n",
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       "            #T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col16 {\n",
       "            \n",
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       "        </style>\n",
       "\n",
       "        <table id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\" None>\n",
       "        \n",
       "\n",
       "        <thead>\n",
       "            \n",
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       "                \n",
       "                <th class=\"blank level0\" >\n",
       "                  \n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col0\" colspan=1>\n",
       "                  TotalPrice\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col1\" colspan=1>\n",
       "                  Deposit\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col2\" colspan=1>\n",
       "                  DailyRate\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col3\" colspan=1>\n",
       "                  TotalDays\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col4\" colspan=1>\n",
       "                  AmountPaid30\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col5\" colspan=1>\n",
       "                  AmountPaid60\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col6\" colspan=1>\n",
       "                  AmountPaid360\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col7\" colspan=1>\n",
       "                  OffTrack30\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col8\" colspan=1>\n",
       "                  OffTrack60\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col9\" colspan=1>\n",
       "                  Product_Product A\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col10\" colspan=1>\n",
       "                  Product_Product B\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col11\" colspan=1>\n",
       "                  Product_Product C\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col12\" colspan=1>\n",
       "                  Product_Product D\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col13\" colspan=1>\n",
       "                  Product_Product E\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col14\" colspan=1>\n",
       "                  Product_Product F\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col15\" colspan=1>\n",
       "                  CustomerGender_Female\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col16\" colspan=1>\n",
       "                  CustomerGender_Male\n",
       "                \n",
       "                \n",
       "                \n",
       "                <th class=\"col_heading level0 col17\" colspan=1>\n",
       "                  CustomerGender_NotSpecified\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </thead>\n",
       "        <tbody>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row0\" rowspan=1>\n",
       "                    TotalPrice\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col0\"\n",
       "                 class=\"data row0 col0\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col1\"\n",
       "                 class=\"data row0 col1\" >\n",
       "                    0.853233\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col2\"\n",
       "                 class=\"data row0 col2\" >\n",
       "                    0.988441\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col3\"\n",
       "                 class=\"data row0 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col4\"\n",
       "                 class=\"data row0 col4\" >\n",
       "                    0.588387\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col5\"\n",
       "                 class=\"data row0 col5\" >\n",
       "                    0.637126\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col6\"\n",
       "                 class=\"data row0 col6\" >\n",
       "                    0.641256\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col7\"\n",
       "                 class=\"data row0 col7\" >\n",
       "                    -0.0924627\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col8\"\n",
       "                 class=\"data row0 col8\" >\n",
       "                    -0.145412\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col9\"\n",
       "                 class=\"data row0 col9\" >\n",
       "                    0.234698\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col10\"\n",
       "                 class=\"data row0 col10\" >\n",
       "                    -0.383598\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col11\"\n",
       "                 class=\"data row0 col11\" >\n",
       "                    -0.218504\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col12\"\n",
       "                 class=\"data row0 col12\" >\n",
       "                    0.0636512\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col13\"\n",
       "                 class=\"data row0 col13\" >\n",
       "                    0.866388\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col14\"\n",
       "                 class=\"data row0 col14\" >\n",
       "                    0.277916\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col15\"\n",
       "                 class=\"data row0 col15\" >\n",
       "                    0.0261781\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col16\"\n",
       "                 class=\"data row0 col16\" >\n",
       "                    0.05136\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row0_col17\"\n",
       "                 class=\"data row0 col17\" >\n",
       "                    -0.157718\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row1\" rowspan=1>\n",
       "                    Deposit\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col0\"\n",
       "                 class=\"data row1 col0\" >\n",
       "                    0.853233\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col1\"\n",
       "                 class=\"data row1 col1\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col2\"\n",
       "                 class=\"data row1 col2\" >\n",
       "                    0.764302\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col3\"\n",
       "                 class=\"data row1 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col4\"\n",
       "                 class=\"data row1 col4\" >\n",
       "                    0.782609\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col5\"\n",
       "                 class=\"data row1 col5\" >\n",
       "                    0.788176\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col6\"\n",
       "                 class=\"data row1 col6\" >\n",
       "                    0.620774\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col7\"\n",
       "                 class=\"data row1 col7\" >\n",
       "                    0.128862\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col8\"\n",
       "                 class=\"data row1 col8\" >\n",
       "                    0.0660641\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col9\"\n",
       "                 class=\"data row1 col9\" >\n",
       "                    0.236429\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col10\"\n",
       "                 class=\"data row1 col10\" >\n",
       "                    -0.181532\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col11\"\n",
       "                 class=\"data row1 col11\" >\n",
       "                    -0.328063\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col12\"\n",
       "                 class=\"data row1 col12\" >\n",
       "                    -0.0698909\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col13\"\n",
       "                 class=\"data row1 col13\" >\n",
       "                    0.697291\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col14\"\n",
       "                 class=\"data row1 col14\" >\n",
       "                    0.158523\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col15\"\n",
       "                 class=\"data row1 col15\" >\n",
       "                    0.0342976\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col16\"\n",
       "                 class=\"data row1 col16\" >\n",
       "                    0.0859579\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row1_col17\"\n",
       "                 class=\"data row1 col17\" >\n",
       "                    -0.244951\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row2\" rowspan=1>\n",
       "                    DailyRate\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col0\"\n",
       "                 class=\"data row2 col0\" >\n",
       "                    0.988441\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col1\"\n",
       "                 class=\"data row2 col1\" >\n",
       "                    0.764302\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col2\"\n",
       "                 class=\"data row2 col2\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col3\"\n",
       "                 class=\"data row2 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col4\"\n",
       "                 class=\"data row2 col4\" >\n",
       "                    0.500022\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col5\"\n",
       "                 class=\"data row2 col5\" >\n",
       "                    0.558668\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col6\"\n",
       "                 class=\"data row2 col6\" >\n",
       "                    0.612438\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col7\"\n",
       "                 class=\"data row2 col7\" >\n",
       "                    -0.151787\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col8\"\n",
       "                 class=\"data row2 col8\" >\n",
       "                    -0.199002\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col9\"\n",
       "                 class=\"data row2 col9\" >\n",
       "                    0.221468\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col10\"\n",
       "                 class=\"data row2 col10\" >\n",
       "                    -0.421537\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col11\"\n",
       "                 class=\"data row2 col11\" >\n",
       "                    -0.174807\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col12\"\n",
       "                 class=\"data row2 col12\" >\n",
       "                    0.0990201\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col13\"\n",
       "                 class=\"data row2 col13\" >\n",
       "                    0.868564\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col14\"\n",
       "                 class=\"data row2 col14\" >\n",
       "                    0.297554\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col15\"\n",
       "                 class=\"data row2 col15\" >\n",
       "                    0.0223984\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col16\"\n",
       "                 class=\"data row2 col16\" >\n",
       "                    0.0385175\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row2_col17\"\n",
       "                 class=\"data row2 col17\" >\n",
       "                    -0.123807\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row3\" rowspan=1>\n",
       "                    TotalDays\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col0\"\n",
       "                 class=\"data row3 col0\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col1\"\n",
       "                 class=\"data row3 col1\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col2\"\n",
       "                 class=\"data row3 col2\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col3\"\n",
       "                 class=\"data row3 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col4\"\n",
       "                 class=\"data row3 col4\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col5\"\n",
       "                 class=\"data row3 col5\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col6\"\n",
       "                 class=\"data row3 col6\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col7\"\n",
       "                 class=\"data row3 col7\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col8\"\n",
       "                 class=\"data row3 col8\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col9\"\n",
       "                 class=\"data row3 col9\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col10\"\n",
       "                 class=\"data row3 col10\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col11\"\n",
       "                 class=\"data row3 col11\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col12\"\n",
       "                 class=\"data row3 col12\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col13\"\n",
       "                 class=\"data row3 col13\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col14\"\n",
       "                 class=\"data row3 col14\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col15\"\n",
       "                 class=\"data row3 col15\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col16\"\n",
       "                 class=\"data row3 col16\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row3_col17\"\n",
       "                 class=\"data row3 col17\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row4\" rowspan=1>\n",
       "                    AmountPaid30\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col0\"\n",
       "                 class=\"data row4 col0\" >\n",
       "                    0.588387\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col1\"\n",
       "                 class=\"data row4 col1\" >\n",
       "                    0.782609\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col2\"\n",
       "                 class=\"data row4 col2\" >\n",
       "                    0.500022\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col3\"\n",
       "                 class=\"data row4 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col4\"\n",
       "                 class=\"data row4 col4\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col5\"\n",
       "                 class=\"data row4 col5\" >\n",
       "                    0.951206\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col6\"\n",
       "                 class=\"data row4 col6\" >\n",
       "                    0.646358\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col7\"\n",
       "                 class=\"data row4 col7\" >\n",
       "                    0.710754\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col8\"\n",
       "                 class=\"data row4 col8\" >\n",
       "                    0.59782\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col9\"\n",
       "                 class=\"data row4 col9\" >\n",
       "                    -0.118384\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col10\"\n",
       "                 class=\"data row4 col10\" >\n",
       "                    -0.00144963\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col11\"\n",
       "                 class=\"data row4 col11\" >\n",
       "                    -0.154293\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col12\"\n",
       "                 class=\"data row4 col12\" >\n",
       "                    0.0958586\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col13\"\n",
       "                 class=\"data row4 col13\" >\n",
       "                    0.519535\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col14\"\n",
       "                 class=\"data row4 col14\" >\n",
       "                    0.136982\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col15\"\n",
       "                 class=\"data row4 col15\" >\n",
       "                    -0.0614076\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col16\"\n",
       "                 class=\"data row4 col16\" >\n",
       "                    0.117243\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row4_col17\"\n",
       "                 class=\"data row4 col17\" >\n",
       "                    -0.117942\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row5\" rowspan=1>\n",
       "                    AmountPaid60\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col0\"\n",
       "                 class=\"data row5 col0\" >\n",
       "                    0.637126\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col1\"\n",
       "                 class=\"data row5 col1\" >\n",
       "                    0.788176\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col2\"\n",
       "                 class=\"data row5 col2\" >\n",
       "                    0.558668\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col3\"\n",
       "                 class=\"data row5 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col4\"\n",
       "                 class=\"data row5 col4\" >\n",
       "                    0.951206\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col5\"\n",
       "                 class=\"data row5 col5\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col6\"\n",
       "                 class=\"data row5 col6\" >\n",
       "                    0.731702\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col7\"\n",
       "                 class=\"data row5 col7\" >\n",
       "                    0.617787\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col8\"\n",
       "                 class=\"data row5 col8\" >\n",
       "                    0.640925\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col9\"\n",
       "                 class=\"data row5 col9\" >\n",
       "                    -0.0736236\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col10\"\n",
       "                 class=\"data row5 col10\" >\n",
       "                    -0.0519135\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col11\"\n",
       "                 class=\"data row5 col11\" >\n",
       "                    -0.159704\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col12\"\n",
       "                 class=\"data row5 col12\" >\n",
       "                    0.0957171\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col13\"\n",
       "                 class=\"data row5 col13\" >\n",
       "                    0.550845\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col14\"\n",
       "                 class=\"data row5 col14\" >\n",
       "                    0.176876\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col15\"\n",
       "                 class=\"data row5 col15\" >\n",
       "                    -0.0558348\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col16\"\n",
       "                 class=\"data row5 col16\" >\n",
       "                    0.111493\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row5_col17\"\n",
       "                 class=\"data row5 col17\" >\n",
       "                    -0.117274\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row6\" rowspan=1>\n",
       "                    AmountPaid360\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col0\"\n",
       "                 class=\"data row6 col0\" >\n",
       "                    0.641256\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col1\"\n",
       "                 class=\"data row6 col1\" >\n",
       "                    0.620774\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col2\"\n",
       "                 class=\"data row6 col2\" >\n",
       "                    0.612438\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col3\"\n",
       "                 class=\"data row6 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col4\"\n",
       "                 class=\"data row6 col4\" >\n",
       "                    0.646358\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col5\"\n",
       "                 class=\"data row6 col5\" >\n",
       "                    0.731702\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col6\"\n",
       "                 class=\"data row6 col6\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col7\"\n",
       "                 class=\"data row6 col7\" >\n",
       "                    0.288867\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col8\"\n",
       "                 class=\"data row6 col8\" >\n",
       "                    0.344553\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col9\"\n",
       "                 class=\"data row6 col9\" >\n",
       "                    0.0379047\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col10\"\n",
       "                 class=\"data row6 col10\" >\n",
       "                    -0.204484\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col11\"\n",
       "                 class=\"data row6 col11\" >\n",
       "                    -0.0949914\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col12\"\n",
       "                 class=\"data row6 col12\" >\n",
       "                    0.106296\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col13\"\n",
       "                 class=\"data row6 col13\" >\n",
       "                    0.526493\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col14\"\n",
       "                 class=\"data row6 col14\" >\n",
       "                    0.273051\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col15\"\n",
       "                 class=\"data row6 col15\" >\n",
       "                    -0.0428203\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col16\"\n",
       "                 class=\"data row6 col16\" >\n",
       "                    0.067685\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row6_col17\"\n",
       "                 class=\"data row6 col17\" >\n",
       "                    -0.053364\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row7\" rowspan=1>\n",
       "                    OffTrack30\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col0\"\n",
       "                 class=\"data row7 col0\" >\n",
       "                    -0.0924627\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col1\"\n",
       "                 class=\"data row7 col1\" >\n",
       "                    0.128862\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col2\"\n",
       "                 class=\"data row7 col2\" >\n",
       "                    -0.151787\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col3\"\n",
       "                 class=\"data row7 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col4\"\n",
       "                 class=\"data row7 col4\" >\n",
       "                    0.710754\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col5\"\n",
       "                 class=\"data row7 col5\" >\n",
       "                    0.617787\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col6\"\n",
       "                 class=\"data row7 col6\" >\n",
       "                    0.288867\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col7\"\n",
       "                 class=\"data row7 col7\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col8\"\n",
       "                 class=\"data row7 col8\" >\n",
       "                    0.895282\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col9\"\n",
       "                 class=\"data row7 col9\" >\n",
       "                    -0.438225\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col10\"\n",
       "                 class=\"data row7 col10\" >\n",
       "                    0.25851\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col11\"\n",
       "                 class=\"data row7 col11\" >\n",
       "                    0.0939975\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col12\"\n",
       "                 class=\"data row7 col12\" >\n",
       "                    0.181237\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col13\"\n",
       "                 class=\"data row7 col13\" >\n",
       "                    -0.0319779\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col14\"\n",
       "                 class=\"data row7 col14\" >\n",
       "                    -0.00327661\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col15\"\n",
       "                 class=\"data row7 col15\" >\n",
       "                    -0.128059\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col16\"\n",
       "                 class=\"data row7 col16\" >\n",
       "                    0.0932859\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row7_col17\"\n",
       "                 class=\"data row7 col17\" >\n",
       "                    0.0644003\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row8\" rowspan=1>\n",
       "                    OffTrack60\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col0\"\n",
       "                 class=\"data row8 col0\" >\n",
       "                    -0.145412\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col1\"\n",
       "                 class=\"data row8 col1\" >\n",
       "                    0.0660641\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col2\"\n",
       "                 class=\"data row8 col2\" >\n",
       "                    -0.199002\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col3\"\n",
       "                 class=\"data row8 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col4\"\n",
       "                 class=\"data row8 col4\" >\n",
       "                    0.59782\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col5\"\n",
       "                 class=\"data row8 col5\" >\n",
       "                    0.640925\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col6\"\n",
       "                 class=\"data row8 col6\" >\n",
       "                    0.344553\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col7\"\n",
       "                 class=\"data row8 col7\" >\n",
       "                    0.895282\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col8\"\n",
       "                 class=\"data row8 col8\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col9\"\n",
       "                 class=\"data row8 col9\" >\n",
       "                    -0.393284\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col10\"\n",
       "                 class=\"data row8 col10\" >\n",
       "                    0.250031\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col11\"\n",
       "                 class=\"data row8 col11\" >\n",
       "                    0.0934336\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col12\"\n",
       "                 class=\"data row8 col12\" >\n",
       "                    0.154778\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col13\"\n",
       "                 class=\"data row8 col13\" >\n",
       "                    -0.100334\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col14\"\n",
       "                 class=\"data row8 col14\" >\n",
       "                    0.0106209\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col15\"\n",
       "                 class=\"data row8 col15\" >\n",
       "                    -0.120647\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col16\"\n",
       "                 class=\"data row8 col16\" >\n",
       "                    0.0834596\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row8_col17\"\n",
       "                 class=\"data row8 col17\" >\n",
       "                    0.0697597\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row9\" rowspan=1>\n",
       "                    Product_Product A\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col0\"\n",
       "                 class=\"data row9 col0\" >\n",
       "                    0.234698\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col1\"\n",
       "                 class=\"data row9 col1\" >\n",
       "                    0.236429\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col2\"\n",
       "                 class=\"data row9 col2\" >\n",
       "                    0.221468\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col3\"\n",
       "                 class=\"data row9 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col4\"\n",
       "                 class=\"data row9 col4\" >\n",
       "                    -0.118384\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col5\"\n",
       "                 class=\"data row9 col5\" >\n",
       "                    -0.0736236\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col6\"\n",
       "                 class=\"data row9 col6\" >\n",
       "                    0.0379047\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col7\"\n",
       "                 class=\"data row9 col7\" >\n",
       "                    -0.438225\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col8\"\n",
       "                 class=\"data row9 col8\" >\n",
       "                    -0.393284\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col9\"\n",
       "                 class=\"data row9 col9\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col10\"\n",
       "                 class=\"data row9 col10\" >\n",
       "                    -0.626072\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col11\"\n",
       "                 class=\"data row9 col11\" >\n",
       "                    -0.24627\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col12\"\n",
       "                 class=\"data row9 col12\" >\n",
       "                    -0.241041\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col13\"\n",
       "                 class=\"data row9 col13\" >\n",
       "                    -0.0995387\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col14\"\n",
       "                 class=\"data row9 col14\" >\n",
       "                    -0.0226293\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col15\"\n",
       "                 class=\"data row9 col15\" >\n",
       "                    0.136094\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col16\"\n",
       "                 class=\"data row9 col16\" >\n",
       "                    -0.0428943\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row9_col17\"\n",
       "                 class=\"data row9 col17\" >\n",
       "                    -0.18388\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row10\" rowspan=1>\n",
       "                    Product_Product B\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col0\"\n",
       "                 class=\"data row10 col0\" >\n",
       "                    -0.383598\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col1\"\n",
       "                 class=\"data row10 col1\" >\n",
       "                    -0.181532\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col2\"\n",
       "                 class=\"data row10 col2\" >\n",
       "                    -0.421537\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col3\"\n",
       "                 class=\"data row10 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col4\"\n",
       "                 class=\"data row10 col4\" >\n",
       "                    -0.00144963\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col5\"\n",
       "                 class=\"data row10 col5\" >\n",
       "                    -0.0519135\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col6\"\n",
       "                 class=\"data row10 col6\" >\n",
       "                    -0.204484\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col7\"\n",
       "                 class=\"data row10 col7\" >\n",
       "                    0.25851\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col8\"\n",
       "                 class=\"data row10 col8\" >\n",
       "                    0.250031\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col9\"\n",
       "                 class=\"data row10 col9\" >\n",
       "                    -0.626072\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col10\"\n",
       "                 class=\"data row10 col10\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col11\"\n",
       "                 class=\"data row10 col11\" >\n",
       "                    -0.301089\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col12\"\n",
       "                 class=\"data row10 col12\" >\n",
       "                    -0.294696\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col13\"\n",
       "                 class=\"data row10 col13\" >\n",
       "                    -0.121695\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col14\"\n",
       "                 class=\"data row10 col14\" >\n",
       "                    -0.0276664\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col15\"\n",
       "                 class=\"data row10 col15\" >\n",
       "                    0.0138743\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col16\"\n",
       "                 class=\"data row10 col16\" >\n",
       "                    0.0960268\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row10_col17\"\n",
       "                 class=\"data row10 col17\" >\n",
       "                    -0.22481\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row11\" rowspan=1>\n",
       "                    Product_Product C\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col0\"\n",
       "                 class=\"data row11 col0\" >\n",
       "                    -0.218504\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col1\"\n",
       "                 class=\"data row11 col1\" >\n",
       "                    -0.328063\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col2\"\n",
       "                 class=\"data row11 col2\" >\n",
       "                    -0.174807\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col3\"\n",
       "                 class=\"data row11 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col4\"\n",
       "                 class=\"data row11 col4\" >\n",
       "                    -0.154293\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col5\"\n",
       "                 class=\"data row11 col5\" >\n",
       "                    -0.159704\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col6\"\n",
       "                 class=\"data row11 col6\" >\n",
       "                    -0.0949914\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col7\"\n",
       "                 class=\"data row11 col7\" >\n",
       "                    0.0939975\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col8\"\n",
       "                 class=\"data row11 col8\" >\n",
       "                    0.0934336\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col9\"\n",
       "                 class=\"data row11 col9\" >\n",
       "                    -0.24627\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col10\"\n",
       "                 class=\"data row11 col10\" >\n",
       "                    -0.301089\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col11\"\n",
       "                 class=\"data row11 col11\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col12\"\n",
       "                 class=\"data row11 col12\" >\n",
       "                    -0.115921\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col13\"\n",
       "                 class=\"data row11 col13\" >\n",
       "                    -0.0478699\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col14\"\n",
       "                 class=\"data row11 col14\" >\n",
       "                    -0.0108828\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col15\"\n",
       "                 class=\"data row11 col15\" >\n",
       "                    -0.0927414\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col16\"\n",
       "                 class=\"data row11 col16\" >\n",
       "                    -0.273508\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row11_col17\"\n",
       "                 class=\"data row11 col17\" >\n",
       "                    0.746658\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row12\" rowspan=1>\n",
       "                    Product_Product D\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col0\"\n",
       "                 class=\"data row12 col0\" >\n",
       "                    0.0636512\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col1\"\n",
       "                 class=\"data row12 col1\" >\n",
       "                    -0.0698909\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col2\"\n",
       "                 class=\"data row12 col2\" >\n",
       "                    0.0990201\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col3\"\n",
       "                 class=\"data row12 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col4\"\n",
       "                 class=\"data row12 col4\" >\n",
       "                    0.0958586\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col5\"\n",
       "                 class=\"data row12 col5\" >\n",
       "                    0.0957171\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col6\"\n",
       "                 class=\"data row12 col6\" >\n",
       "                    0.106296\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col7\"\n",
       "                 class=\"data row12 col7\" >\n",
       "                    0.181237\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col8\"\n",
       "                 class=\"data row12 col8\" >\n",
       "                    0.154778\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col9\"\n",
       "                 class=\"data row12 col9\" >\n",
       "                    -0.241041\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col10\"\n",
       "                 class=\"data row12 col10\" >\n",
       "                    -0.294696\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col11\"\n",
       "                 class=\"data row12 col11\" >\n",
       "                    -0.115921\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col12\"\n",
       "                 class=\"data row12 col12\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col13\"\n",
       "                 class=\"data row12 col13\" >\n",
       "                    -0.0468534\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col14\"\n",
       "                 class=\"data row12 col14\" >\n",
       "                    -0.0106517\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col15\"\n",
       "                 class=\"data row12 col15\" >\n",
       "                    -0.146015\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col16\"\n",
       "                 class=\"data row12 col16\" >\n",
       "                    0.184314\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row12_col17\"\n",
       "                 class=\"data row12 col17\" >\n",
       "                    -0.0865532\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row13\" rowspan=1>\n",
       "                    Product_Product E\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col0\"\n",
       "                 class=\"data row13 col0\" >\n",
       "                    0.866388\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col1\"\n",
       "                 class=\"data row13 col1\" >\n",
       "                    0.697291\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col2\"\n",
       "                 class=\"data row13 col2\" >\n",
       "                    0.868564\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col3\"\n",
       "                 class=\"data row13 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col4\"\n",
       "                 class=\"data row13 col4\" >\n",
       "                    0.519535\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col5\"\n",
       "                 class=\"data row13 col5\" >\n",
       "                    0.550845\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col6\"\n",
       "                 class=\"data row13 col6\" >\n",
       "                    0.526493\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col7\"\n",
       "                 class=\"data row13 col7\" >\n",
       "                    -0.0319779\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col8\"\n",
       "                 class=\"data row13 col8\" >\n",
       "                    -0.100334\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col9\"\n",
       "                 class=\"data row13 col9\" >\n",
       "                    -0.0995387\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col10\"\n",
       "                 class=\"data row13 col10\" >\n",
       "                    -0.121695\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col11\"\n",
       "                 class=\"data row13 col11\" >\n",
       "                    -0.0478699\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col12\"\n",
       "                 class=\"data row13 col12\" >\n",
       "                    -0.0468534\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col13\"\n",
       "                 class=\"data row13 col13\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col14\"\n",
       "                 class=\"data row13 col14\" >\n",
       "                    -0.00439867\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col15\"\n",
       "                 class=\"data row13 col15\" >\n",
       "                    0.0160059\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col16\"\n",
       "                 class=\"data row13 col16\" >\n",
       "                    0.00183312\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row13_col17\"\n",
       "                 class=\"data row13 col17\" >\n",
       "                    -0.0357424\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row14\" rowspan=1>\n",
       "                    Product_Product F\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col0\"\n",
       "                 class=\"data row14 col0\" >\n",
       "                    0.277916\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col1\"\n",
       "                 class=\"data row14 col1\" >\n",
       "                    0.158523\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col2\"\n",
       "                 class=\"data row14 col2\" >\n",
       "                    0.297554\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col3\"\n",
       "                 class=\"data row14 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col4\"\n",
       "                 class=\"data row14 col4\" >\n",
       "                    0.136982\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col5\"\n",
       "                 class=\"data row14 col5\" >\n",
       "                    0.176876\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col6\"\n",
       "                 class=\"data row14 col6\" >\n",
       "                    0.273051\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col7\"\n",
       "                 class=\"data row14 col7\" >\n",
       "                    -0.00327661\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col8\"\n",
       "                 class=\"data row14 col8\" >\n",
       "                    0.0106209\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col9\"\n",
       "                 class=\"data row14 col9\" >\n",
       "                    -0.0226293\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col10\"\n",
       "                 class=\"data row14 col10\" >\n",
       "                    -0.0276664\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col11\"\n",
       "                 class=\"data row14 col11\" >\n",
       "                    -0.0108828\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col12\"\n",
       "                 class=\"data row14 col12\" >\n",
       "                    -0.0106517\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col13\"\n",
       "                 class=\"data row14 col13\" >\n",
       "                    -0.00439867\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col14\"\n",
       "                 class=\"data row14 col14\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col15\"\n",
       "                 class=\"data row14 col15\" >\n",
       "                    -0.0240079\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col16\"\n",
       "                 class=\"data row14 col16\" >\n",
       "                    0.0273303\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row14_col17\"\n",
       "                 class=\"data row14 col17\" >\n",
       "                    -0.00812574\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row15\" rowspan=1>\n",
       "                    CustomerGender_Female\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col0\"\n",
       "                 class=\"data row15 col0\" >\n",
       "                    0.0261781\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col1\"\n",
       "                 class=\"data row15 col1\" >\n",
       "                    0.0342976\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col2\"\n",
       "                 class=\"data row15 col2\" >\n",
       "                    0.0223984\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col3\"\n",
       "                 class=\"data row15 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col4\"\n",
       "                 class=\"data row15 col4\" >\n",
       "                    -0.0614076\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col5\"\n",
       "                 class=\"data row15 col5\" >\n",
       "                    -0.0558348\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col6\"\n",
       "                 class=\"data row15 col6\" >\n",
       "                    -0.0428203\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col7\"\n",
       "                 class=\"data row15 col7\" >\n",
       "                    -0.128059\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col8\"\n",
       "                 class=\"data row15 col8\" >\n",
       "                    -0.120647\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col9\"\n",
       "                 class=\"data row15 col9\" >\n",
       "                    0.136094\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col10\"\n",
       "                 class=\"data row15 col10\" >\n",
       "                    0.0138743\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col11\"\n",
       "                 class=\"data row15 col11\" >\n",
       "                    -0.0927414\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col12\"\n",
       "                 class=\"data row15 col12\" >\n",
       "                    -0.146015\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col13\"\n",
       "                 class=\"data row15 col13\" >\n",
       "                    0.0160059\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col14\"\n",
       "                 class=\"data row15 col14\" >\n",
       "                    -0.0240079\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col15\"\n",
       "                 class=\"data row15 col15\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col16\"\n",
       "                 class=\"data row15 col16\" >\n",
       "                    -0.878434\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row15_col17\"\n",
       "                 class=\"data row15 col17\" >\n",
       "                    -0.195082\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row16\" rowspan=1>\n",
       "                    CustomerGender_Male\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col0\"\n",
       "                 class=\"data row16 col0\" >\n",
       "                    0.05136\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col1\"\n",
       "                 class=\"data row16 col1\" >\n",
       "                    0.0859579\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col2\"\n",
       "                 class=\"data row16 col2\" >\n",
       "                    0.0385175\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col3\"\n",
       "                 class=\"data row16 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col4\"\n",
       "                 class=\"data row16 col4\" >\n",
       "                    0.117243\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col5\"\n",
       "                 class=\"data row16 col5\" >\n",
       "                    0.111493\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col6\"\n",
       "                 class=\"data row16 col6\" >\n",
       "                    0.067685\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col7\"\n",
       "                 class=\"data row16 col7\" >\n",
       "                    0.0932859\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col8\"\n",
       "                 class=\"data row16 col8\" >\n",
       "                    0.0834596\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col9\"\n",
       "                 class=\"data row16 col9\" >\n",
       "                    -0.0428943\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col10\"\n",
       "                 class=\"data row16 col10\" >\n",
       "                    0.0960268\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col11\"\n",
       "                 class=\"data row16 col11\" >\n",
       "                    -0.273508\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col12\"\n",
       "                 class=\"data row16 col12\" >\n",
       "                    0.184314\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col13\"\n",
       "                 class=\"data row16 col13\" >\n",
       "                    0.00183312\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col14\"\n",
       "                 class=\"data row16 col14\" >\n",
       "                    0.0273303\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col15\"\n",
       "                 class=\"data row16 col15\" >\n",
       "                    -0.878434\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col16\"\n",
       "                 class=\"data row16 col16\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row16_col17\"\n",
       "                 class=\"data row16 col17\" >\n",
       "                    -0.297316\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                \n",
       "                <th id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6\"\n",
       "                 class=\"row_heading level0 row17\" rowspan=1>\n",
       "                    CustomerGender_NotSpecified\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col0\"\n",
       "                 class=\"data row17 col0\" >\n",
       "                    -0.157718\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col1\"\n",
       "                 class=\"data row17 col1\" >\n",
       "                    -0.244951\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col2\"\n",
       "                 class=\"data row17 col2\" >\n",
       "                    -0.123807\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col3\"\n",
       "                 class=\"data row17 col3\" >\n",
       "                    nan\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col4\"\n",
       "                 class=\"data row17 col4\" >\n",
       "                    -0.117942\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col5\"\n",
       "                 class=\"data row17 col5\" >\n",
       "                    -0.117274\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col6\"\n",
       "                 class=\"data row17 col6\" >\n",
       "                    -0.053364\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col7\"\n",
       "                 class=\"data row17 col7\" >\n",
       "                    0.0644003\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col8\"\n",
       "                 class=\"data row17 col8\" >\n",
       "                    0.0697597\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col9\"\n",
       "                 class=\"data row17 col9\" >\n",
       "                    -0.18388\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col10\"\n",
       "                 class=\"data row17 col10\" >\n",
       "                    -0.22481\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col11\"\n",
       "                 class=\"data row17 col11\" >\n",
       "                    0.746658\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col12\"\n",
       "                 class=\"data row17 col12\" >\n",
       "                    -0.0865532\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col13\"\n",
       "                 class=\"data row17 col13\" >\n",
       "                    -0.0357424\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col14\"\n",
       "                 class=\"data row17 col14\" >\n",
       "                    -0.00812574\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col15\"\n",
       "                 class=\"data row17 col15\" >\n",
       "                    -0.195082\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col16\"\n",
       "                 class=\"data row17 col16\" >\n",
       "                    -0.297316\n",
       "                \n",
       "                \n",
       "                \n",
       "                <td id=\"T_1743878f_4f8f_11e9_a3ac_eac88a58f5c6row17_col17\"\n",
       "                 class=\"data row17 col17\" >\n",
       "                    1\n",
       "                \n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </tbody>\n",
       "        </table>\n",
       "        "
      ],
      "text/plain": [
       "<pandas.formats.style.Styler at 0xc62ec88>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr = X.corr()\n",
    "corr.style.background_gradient(cmap='coolwarm')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Feature Selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y1= X[['LoanStatus360']]\n",
    "X= X.drop(['AmountPaid360','LoanStatus360'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Krupa Suchak\\Anaconda2\\lib\\site-packages\\sklearn\\utils\\validation.py:526: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n",
      "C:\\Users\\Krupa Suchak\\Anaconda2\\lib\\site-packages\\sklearn\\feature_selection\\univariate_selection.py:113: UserWarning: Features [3] are constant.\n",
      "  UserWarning)\n",
      "C:\\Users\\Krupa Suchak\\Anaconda2\\lib\\site-packages\\sklearn\\feature_selection\\univariate_selection.py:114: RuntimeWarning: invalid value encountered in divide\n",
      "  f = msb / msw\n"
     ]
    }
   ],
   "source": [
    "select = SelectKBest(k=10)\n",
    "selected_features = select.fit(X, y1)\n",
    "indices_selected = selected_features.get_support(indices=True)\n",
    "colnames_selected = [X.columns[i] for i in indices_selected]\n",
    "\n",
    "X_selected = X[colnames_selected];"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[u'TotalPrice', u'DailyRate', u'AmountPaid30', u'AmountPaid60', 'OffTrack30', 'OffTrack60', u'Product_Product A', u'Product_Product C', u'Product_Product D', u'CustomerGender_Female']\n"
     ]
    }
   ],
   "source": [
    "print(colnames_selected)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Above are the least number of features selected to capture the best signal for predictive purposes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5+6. Applying Classification Models and Accuracy Testing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Splitting 70% data into train set and 30% into test set."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train includes Features and Test includes the Label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "random.seed(0) # very important to get reproducible data\n",
    "X_train, X_test2, y_train, y_test2 = train_test_split(X_selected, y1, test_size=0.3, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking the total number of rows and columns in each train and test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(700, 10)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(301, 10)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test2.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here's applying the predictive model optimize accuracy of classification captured by accuracy_score below."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using Decision Tree Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.72093023255813948"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf1 = tree.DecisionTreeClassifier()\n",
    "clf1 = clf1.fit(X_train, y_train)\n",
    "pred1 = clf1.predict(X_test2)\n",
    "acc1 = accuracy_score(pred1, y_test2)\n",
    "acc1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using Gradient Boosting Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.70764119601328901"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf2 = GradientBoostingClassifier()\n",
    "clf2 = clf1.fit(X_train, y_train)\n",
    "pred2 = clf1.predict(X_test2)\n",
    "acc2 = accuracy_score(pred2, y_test2)\n",
    "acc2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The best accuracy we determined was __73.4%__ through Decision Trees methods for the selected features from the given dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5. Improvement"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Going forward, it would be beneficial to capture signal better by way of collecting more information on the transaction and buyer of our products such as: age, education status (completed primary school, secondar school, high school, college, univeristy, postdoctorate), occupation, salary, industry. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With more time, I would code a program with inbuilt classifier to test accuracy on more than the two used above. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Summary:\n",
    "    1. Install libraries and Packages \n",
    "        - install packages in terminal\n",
    "        - for good programming practice install libraries at top\n",
    "        - do not forget %matplot inline for visualization\n",
    "    2. Import + explore dataset\n",
    "        - when importing point towards path of data \n",
    "        - remove duplicates\n",
    "        - identify datatype; explore numerical and categorical datasets seperately\n",
    "    3. Pre-processing the data\n",
    "        - add/remove features (PCA)\n",
    "        - fill null values\n",
    "        - convert to all numerical features\n",
    "    4. Feature selection\n",
    "        - less is better to avoid overfitting\n",
    "        - too few may not provide suffient signal \n",
    "    5. Building ML Classification Model \n",
    "        - split data into test:train :: 30:70 or test:validate:train :: 20:20:60\n",
    "    6. Test accuracy of Model\n",
    "    7. Improve + Iterate"
   ]
  }
 ],
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