DataExploration.ipynb

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    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#(prosper-Loan-Data)\" data-toc-modified-id=\"(prosper-Loan-Data)-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>(prosper Loan Data)</a></span><ul class=\"toc-item\"><li><span><a href=\"#Project-Describtion\" data-toc-modified-id=\"Project-Describtion-1.1\"><span class=\"toc-item-num\">1.1&nbsp;&nbsp;</span>Project Describtion</a></span><ul class=\"toc-item\"><li><span><a href=\"#Data-Set\" data-toc-modified-id=\"Data-Set-1.1.1\"><span class=\"toc-item-num\">1.1.1&nbsp;&nbsp;</span>Data Set</a></span></li><li><span><a href=\"#Project-Output\" data-toc-modified-id=\"Project-Output-1.1.2\"><span class=\"toc-item-num\">1.1.2&nbsp;&nbsp;</span>Project Output</a></span></li></ul></li><li><span><a href=\"#Preliminary-Wrangling\" data-toc-modified-id=\"Preliminary-Wrangling-1.2\"><span class=\"toc-item-num\">1.2&nbsp;&nbsp;</span>Preliminary Wrangling</a></span><ul class=\"toc-item\"><li><span><a href=\"#Dataset-Structure\" data-toc-modified-id=\"Dataset-Structure-1.2.1\"><span class=\"toc-item-num\">1.2.1&nbsp;&nbsp;</span>Dataset Structure</a></span></li><li><span><a href=\"#The-main-feature(s)-of-interest-in-the-dataset\" data-toc-modified-id=\"The-main-feature(s)-of-interest-in-the-dataset-1.2.2\"><span class=\"toc-item-num\">1.2.2&nbsp;&nbsp;</span>The main feature(s) of interest in the dataset</a></span></li><li><span><a href=\"#Features-of-interest-investigation\" data-toc-modified-id=\"Features-of-interest-investigation-1.2.3\"><span class=\"toc-item-num\">1.2.3&nbsp;&nbsp;</span>Features of interest investigation</a></span></li></ul></li><li><span><a href=\"#Univariate-Exploration\" data-toc-modified-id=\"Univariate-Exploration-1.3\"><span class=\"toc-item-num\">1.3&nbsp;&nbsp;</span>Univariate Exploration</a></span><ul class=\"toc-item\"><li><span><a href=\"#Variable(s)-distribution(s)-discussion\" data-toc-modified-id=\"Variable(s)-distribution(s)-discussion-1.3.1\"><span class=\"toc-item-num\">1.3.1&nbsp;&nbsp;</span>Variable(s) distribution(s) discussion</a></span></li><li><span><a href=\"#Tidness-of-the-data\" data-toc-modified-id=\"Tidness-of-the-data-1.3.2\"><span class=\"toc-item-num\">1.3.2&nbsp;&nbsp;</span>Tidness of the data</a></span></li></ul></li><li><span><a href=\"#Bivariate-Exploration\" data-toc-modified-id=\"Bivariate-Exploration-1.4\"><span class=\"toc-item-num\">1.4&nbsp;&nbsp;</span>Bivariate Exploration</a></span><ul class=\"toc-item\"><li><span><a href=\"#Observed-Relationships\" data-toc-modified-id=\"Observed-Relationships-1.4.1\"><span class=\"toc-item-num\">1.4.1&nbsp;&nbsp;</span>Observed Relationships</a></span></li><li><span><a href=\"#Interesting-Relationships\" data-toc-modified-id=\"Interesting-Relationships-1.4.2\"><span class=\"toc-item-num\">1.4.2&nbsp;&nbsp;</span>Interesting Relationships</a></span></li></ul></li><li><span><a href=\"#Multivariate-Exploration\" data-toc-modified-id=\"Multivariate-Exploration-1.5\"><span class=\"toc-item-num\">1.5&nbsp;&nbsp;</span>Multivariate Exploration</a></span><ul class=\"toc-item\"><li><span><a href=\"#Relationship\" data-toc-modified-id=\"Relationship-1.5.1\"><span class=\"toc-item-num\">1.5.1&nbsp;&nbsp;</span>Relationship</a></span></li><li><span><a href=\"#Were-there-any-interesting-or-surprising-interactions-between-features?\" data-toc-modified-id=\"Were-there-any-interesting-or-surprising-interactions-between-features?-1.5.2\"><span class=\"toc-item-num\">1.5.2&nbsp;&nbsp;</span>Were there any interesting or surprising interactions between features?</a></span></li></ul></li></ul></li></ul></div>"
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    "# (prosper Loan Data)\n",
    "        by (Ahmed Aredah)\n",
    "\n",
    "## Project Describtion\n",
    "### Data Set\n",
    "\n",
    "> This data set contains 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, and many others.\n",
    "\n",
    "> The data set is filtered to affecting variables only and records with NAN/NA values are deleted.\n",
    "\n",
    "### Project Output\n",
    "\n",
    "In this explanatory study, we tend to study and address the following questions:\n",
    "> What factors affect a loan’s outcome status?\n",
    "\n",
    "> What affects the borrower’s APR or interest rate?\n",
    "\n",
    "> Are there differences between loans depending on how large the original loan amount was?"
   ]
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   "source": [
    "## Preliminary Wrangling"
   ]
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   "source": [
    "# import all packages and set plots to be embedded inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "import math\n",
    "\n",
    "%matplotlib inline"
   ]
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   "cell_type": "code",
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   "source": [
    "# Load Dataset \n",
    "df = pd.read_csv('data/prosperLoanData.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
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   },
   "source": [
    "### Dataset Structure"
   ]
  },
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   "execution_count": 3,
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     "start_time": "2021-01-13T20:12:27.979499Z"
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    {
     "data": {
      "text/plain": [
       "(113937, 81)"
      ]
     },
     "execution_count": 3,
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    }
   ],
   "source": [
    "# Shape of the dataframe\n",
    "df.shape"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
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   "source": [
    "> <p><strong><span style=\"color: #ff0000;\"> The dataframe has 113937 rows and 81 columns </p></strong></span>"
   ]
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     "data": {
      "text/plain": [
       "Index(['ListingKey', 'ListingNumber', 'ListingCreationDate', 'CreditGrade',\n",
       "       'Term', 'LoanStatus', 'ClosedDate', 'BorrowerAPR', 'BorrowerRate',\n",
       "       'LenderYield', 'EstimatedEffectiveYield', 'EstimatedLoss',\n",
       "       'EstimatedReturn', 'ProsperRating (numeric)', 'ProsperRating (Alpha)',\n",
       "       'ProsperScore', 'ListingCategory (numeric)', 'BorrowerState',\n",
       "       'Occupation', 'EmploymentStatus', 'EmploymentStatusDuration',\n",
       "       'IsBorrowerHomeowner', 'CurrentlyInGroup', 'GroupKey',\n",
       "       'DateCreditPulled', 'CreditScoreRangeLower', 'CreditScoreRangeUpper',\n",
       "       'FirstRecordedCreditLine', 'CurrentCreditLines', 'OpenCreditLines',\n",
       "       'TotalCreditLinespast7years', 'OpenRevolvingAccounts',\n",
       "       'OpenRevolvingMonthlyPayment', 'InquiriesLast6Months', 'TotalInquiries',\n",
       "       'CurrentDelinquencies', 'AmountDelinquent', 'DelinquenciesLast7Years',\n",
       "       'PublicRecordsLast10Years', 'PublicRecordsLast12Months',\n",
       "       'RevolvingCreditBalance', 'BankcardUtilization',\n",
       "       'AvailableBankcardCredit', 'TotalTrades',\n",
       "       'TradesNeverDelinquent (percentage)', 'TradesOpenedLast6Months',\n",
       "       'DebtToIncomeRatio', 'IncomeRange', 'IncomeVerifiable',\n",
       "       'StatedMonthlyIncome', 'LoanKey', 'TotalProsperLoans',\n",
       "       'TotalProsperPaymentsBilled', 'OnTimeProsperPayments',\n",
       "       'ProsperPaymentsLessThanOneMonthLate',\n",
       "       'ProsperPaymentsOneMonthPlusLate', 'ProsperPrincipalBorrowed',\n",
       "       'ProsperPrincipalOutstanding', 'ScorexChangeAtTimeOfListing',\n",
       "       'LoanCurrentDaysDelinquent', 'LoanFirstDefaultedCycleNumber',\n",
       "       'LoanMonthsSinceOrigination', 'LoanNumber', 'LoanOriginalAmount',\n",
       "       'LoanOriginationDate', 'LoanOriginationQuarter', 'MemberKey',\n",
       "       'MonthlyLoanPayment', 'LP_CustomerPayments',\n",
       "       'LP_CustomerPrincipalPayments', 'LP_InterestandFees', 'LP_ServiceFees',\n",
       "       'LP_CollectionFees', 'LP_GrossPrincipalLoss', 'LP_NetPrincipalLoss',\n",
       "       'LP_NonPrincipalRecoverypayments', 'PercentFunded', 'Recommendations',\n",
       "       'InvestmentFromFriendsCount', 'InvestmentFromFriendsAmount',\n",
       "       'Investors'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
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   ],
   "source": [
    "# Dataframe Column names\n",
    "df.columns"
   ]
  },
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   "source": [
    "### The main feature(s) of interest in the dataset"
   ]
  },
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   "source": [
    "> <p><strong><span style=\"color: #ff0000;\"> The main features are features that are causing AmountDelinquent to increase or the LoanStatus to be Past Due.</p></strong></span>"
   ]
  },
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   "cell_type": "markdown",
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   },
   "source": [
    "### Features of interest investigation"
   ]
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   "cell_type": "markdown",
   "metadata": {
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    }
   },
   "source": [
    "> <p><strong><span style=\"color: #ff0000;\"> The features of interest are the ones affecting either AmountDelinquent and LoadStatus </p></strong></span>"
   ]
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     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ListingKey</th>\n",
       "      <th>ListingNumber</th>\n",
       "      <th>ListingCreationDate</th>\n",
       "      <th>CreditGrade</th>\n",
       "      <th>Term</th>\n",
       "      <th>LoanStatus</th>\n",
       "      <th>ClosedDate</th>\n",
       "      <th>BorrowerAPR</th>\n",
       "      <th>BorrowerRate</th>\n",
       "      <th>LenderYield</th>\n",
       "      <th>...</th>\n",
       "      <th>LP_ServiceFees</th>\n",
       "      <th>LP_CollectionFees</th>\n",
       "      <th>LP_GrossPrincipalLoss</th>\n",
       "      <th>LP_NetPrincipalLoss</th>\n",
       "      <th>LP_NonPrincipalRecoverypayments</th>\n",
       "      <th>PercentFunded</th>\n",
       "      <th>Recommendations</th>\n",
       "      <th>InvestmentFromFriendsCount</th>\n",
       "      <th>InvestmentFromFriendsAmount</th>\n",
       "      <th>Investors</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1021339766868145413AB3B</td>\n",
       "      <td>193129</td>\n",
       "      <td>2007-08-26 19:09:29.263000000</td>\n",
       "      <td>C</td>\n",
       "      <td>36</td>\n",
       "      <td>Completed</td>\n",
       "      <td>2009-08-14 00:00:00</td>\n",
       "      <td>0.16516</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.138</td>\n",
       "      <td>...</td>\n",
       "      <td>-133.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10273602499503308B223C1</td>\n",
       "      <td>1209647</td>\n",
       "      <td>2014-02-27 08:28:07.900000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36</td>\n",
       "      <td>Current</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12016</td>\n",
       "      <td>0.092</td>\n",
       "      <td>0.082</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 81 columns</p>\n",
       "</div>"
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      "text/plain": [
       "                ListingKey  ListingNumber            ListingCreationDate  \\\n",
       "0  1021339766868145413AB3B         193129  2007-08-26 19:09:29.263000000   \n",
       "1  10273602499503308B223C1        1209647  2014-02-27 08:28:07.900000000   \n",
       "\n",
       "  CreditGrade  Term LoanStatus           ClosedDate  BorrowerAPR  \\\n",
       "0           C    36  Completed  2009-08-14 00:00:00      0.16516   \n",
       "1         NaN    36    Current                  NaN      0.12016   \n",
       "\n",
       "   BorrowerRate  LenderYield  ...  LP_ServiceFees  LP_CollectionFees  \\\n",
       "0         0.158        0.138  ...         -133.18                0.0   \n",
       "1         0.092        0.082  ...            0.00                0.0   \n",
       "\n",
       "   LP_GrossPrincipalLoss  LP_NetPrincipalLoss LP_NonPrincipalRecoverypayments  \\\n",
       "0                    0.0                  0.0                             0.0   \n",
       "1                    0.0                  0.0                             0.0   \n",
       "\n",
       "   PercentFunded  Recommendations InvestmentFromFriendsCount  \\\n",
       "0            1.0                0                          0   \n",
       "1            1.0                0                          0   \n",
       "\n",
       "  InvestmentFromFriendsAmount Investors  \n",
       "0                         0.0       258  \n",
       "1                         0.0         1  \n",
       "\n",
       "[2 rows x 81 columns]"
      ]
     },
     "execution_count": 5,
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   "source": [
    "# Show only 2 rows of the data for verification\n",
    "df.head(2)"
   ]
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    {
     "data": {
      "text/plain": [
       "ListingKey                         0\n",
       "ListingNumber                      0\n",
       "ListingCreationDate                0\n",
       "CreditGrade                    84984\n",
       "Term                               0\n",
       "                               ...  \n",
       "PercentFunded                      0\n",
       "Recommendations                    0\n",
       "InvestmentFromFriendsCount         0\n",
       "InvestmentFromFriendsAmount        0\n",
       "Investors                          0\n",
       "Length: 81, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the number of non-null values and their data type\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
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     "end_time": "2021-01-13T20:12:29.407451Z",
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    },
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Drop all NA values in all columns\n",
    "df.dropna(inplace = True, subset = ['DebtToIncomeRatio', 'EmploymentStatusDuration'])"
   ]
  },
  {
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   "execution_count": 8,
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 97888 entries, 0 to 113936\n",
      "Data columns (total 81 columns):\n",
      " #   Column                               Non-Null Count  Dtype  \n",
      "---  ------                               --------------  -----  \n",
      " 0   ListingKey                           97888 non-null  object \n",
      " 1   ListingNumber                        97888 non-null  int64  \n",
      " 2   ListingCreationDate                  97888 non-null  object \n",
      " 3   CreditGrade                          20225 non-null  object \n",
      " 4   Term                                 97888 non-null  int64  \n",
      " 5   LoanStatus                           97888 non-null  object \n",
      " 6   ClosedDate                           43374 non-null  object \n",
      " 7   BorrowerAPR                          97888 non-null  float64\n",
      " 8   BorrowerRate                         97888 non-null  float64\n",
      " 9   LenderYield                          97888 non-null  float64\n",
      " 10  EstimatedEffectiveYield              77543 non-null  float64\n",
      " 11  EstimatedLoss                        77543 non-null  float64\n",
      " 12  EstimatedReturn                      77543 non-null  float64\n",
      " 13  ProsperRating (numeric)              77543 non-null  float64\n",
      " 14  ProsperRating (Alpha)                77543 non-null  object \n",
      " 15  ProsperScore                         77543 non-null  float64\n",
      " 16  ListingCategory (numeric)            97888 non-null  int64  \n",
      " 17  BorrowerState                        96171 non-null  object \n",
      " 18  Occupation                           96561 non-null  object \n",
      " 19  EmploymentStatus                     97888 non-null  object \n",
      " 20  EmploymentStatusDuration             97888 non-null  float64\n",
      " 21  IsBorrowerHomeowner                  97888 non-null  bool   \n",
      " 22  CurrentlyInGroup                     97888 non-null  bool   \n",
      " 23  GroupKey                             7724 non-null   object \n",
      " 24  DateCreditPulled                     97888 non-null  object \n",
      " 25  CreditScoreRangeLower                97888 non-null  float64\n",
      " 26  CreditScoreRangeUpper                97888 non-null  float64\n",
      " 27  FirstRecordedCreditLine              97888 non-null  object \n",
      " 28  CurrentCreditLines                   97886 non-null  float64\n",
      " 29  OpenCreditLines                      97886 non-null  float64\n",
      " 30  TotalCreditLinespast7years           97888 non-null  float64\n",
      " 31  OpenRevolvingAccounts                97888 non-null  int64  \n",
      " 32  OpenRevolvingMonthlyPayment          97888 non-null  float64\n",
      " 33  InquiriesLast6Months                 97888 non-null  float64\n",
      " 34  TotalInquiries                       97888 non-null  float64\n",
      " 35  CurrentDelinquencies                 97888 non-null  float64\n",
      " 36  AmountDelinquent                     97888 non-null  float64\n",
      " 37  DelinquenciesLast7Years              97888 non-null  float64\n",
      " 38  PublicRecordsLast10Years             97888 non-null  float64\n",
      " 39  PublicRecordsLast12Months            97886 non-null  float64\n",
      " 40  RevolvingCreditBalance               97886 non-null  float64\n",
      " 41  BankcardUtilization                  97886 non-null  float64\n",
      " 42  AvailableBankcardCredit              97886 non-null  float64\n",
      " 43  TotalTrades                          97886 non-null  float64\n",
      " 44  TradesNeverDelinquent (percentage)   97886 non-null  float64\n",
      " 45  TradesOpenedLast6Months              97886 non-null  float64\n",
      " 46  DebtToIncomeRatio                    97888 non-null  float64\n",
      " 47  IncomeRange                          97888 non-null  object \n",
      " 48  IncomeVerifiable                     97888 non-null  bool   \n",
      " 49  StatedMonthlyIncome                  97888 non-null  float64\n",
      " 50  LoanKey                              97888 non-null  object \n",
      " 51  TotalProsperLoans                    19913 non-null  float64\n",
      " 52  TotalProsperPaymentsBilled           19913 non-null  float64\n",
      " 53  OnTimeProsperPayments                19913 non-null  float64\n",
      " 54  ProsperPaymentsLessThanOneMonthLate  19913 non-null  float64\n",
      " 55  ProsperPaymentsOneMonthPlusLate      19913 non-null  float64\n",
      " 56  ProsperPrincipalBorrowed             19913 non-null  float64\n",
      " 57  ProsperPrincipalOutstanding          19913 non-null  float64\n",
      " 58  ScorexChangeAtTimeOfListing          17042 non-null  float64\n",
      " 59  LoanCurrentDaysDelinquent            97888 non-null  int64  \n",
      " 60  LoanFirstDefaultedCycleNumber        12427 non-null  float64\n",
      " 61  LoanMonthsSinceOrigination           97888 non-null  int64  \n",
      " 62  LoanNumber                           97888 non-null  int64  \n",
      " 63  LoanOriginalAmount                   97888 non-null  int64  \n",
      " 64  LoanOriginationDate                  97888 non-null  object \n",
      " 65  LoanOriginationQuarter               97888 non-null  object \n",
      " 66  MemberKey                            97888 non-null  object \n",
      " 67  MonthlyLoanPayment                   97888 non-null  float64\n",
      " 68  LP_CustomerPayments                  97888 non-null  float64\n",
      " 69  LP_CustomerPrincipalPayments         97888 non-null  float64\n",
      " 70  LP_InterestandFees                   97888 non-null  float64\n",
      " 71  LP_ServiceFees                       97888 non-null  float64\n",
      " 72  LP_CollectionFees                    97888 non-null  float64\n",
      " 73  LP_GrossPrincipalLoss                97888 non-null  float64\n",
      " 74  LP_NetPrincipalLoss                  97888 non-null  float64\n",
      " 75  LP_NonPrincipalRecoverypayments      97888 non-null  float64\n",
      " 76  PercentFunded                        97888 non-null  float64\n",
      " 77  Recommendations                      97888 non-null  int64  \n",
      " 78  InvestmentFromFriendsCount           97888 non-null  int64  \n",
      " 79  InvestmentFromFriendsAmount          97888 non-null  float64\n",
      " 80  Investors                            97888 non-null  int64  \n",
      "dtypes: bool(3), float64(50), int64(11), object(17)\n",
      "memory usage: 59.3+ MB\n"
     ]
    }
   ],
   "source": [
    "# Quickly check the non-null number\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:32.321391Z",
     "start_time": "2021-01-13T20:12:30.148944Z"
    },
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ListingNumber</th>\n",
       "      <th>Term</th>\n",
       "      <th>BorrowerAPR</th>\n",
       "      <th>BorrowerRate</th>\n",
       "      <th>LenderYield</th>\n",
       "      <th>EstimatedEffectiveYield</th>\n",
       "      <th>EstimatedLoss</th>\n",
       "      <th>EstimatedReturn</th>\n",
       "      <th>ProsperRating (numeric)</th>\n",
       "      <th>ProsperScore</th>\n",
       "      <th>...</th>\n",
       "      <th>LP_ServiceFees</th>\n",
       "      <th>LP_CollectionFees</th>\n",
       "      <th>LP_GrossPrincipalLoss</th>\n",
       "      <th>LP_NetPrincipalLoss</th>\n",
       "      <th>LP_NonPrincipalRecoverypayments</th>\n",
       "      <th>PercentFunded</th>\n",
       "      <th>Recommendations</th>\n",
       "      <th>InvestmentFromFriendsCount</th>\n",
       "      <th>InvestmentFromFriendsAmount</th>\n",
       "      <th>Investors</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9.788800e+04</td>\n",
       "      <td>97888.000000</td>\n",
       "      <td>97888.000000</td>\n",
       "      <td>97888.000000</td>\n",
       "      <td>97888.000000</td>\n",
       "      <td>77543.000000</td>\n",
       "      <td>77543.000000</td>\n",
       "      <td>77543.000000</td>\n",
       "      <td>77543.000000</td>\n",
       "      <td>77543.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>97888.000000</td>\n",
       "      <td>97888.00000</td>\n",
       "      <td>97888.000000</td>\n",
       "      <td>97888.000000</td>\n",
       "      <td>97888.000000</td>\n",
       "      <td>97888.000000</td>\n",
       "      <td>97888.000000</td>\n",
       "      <td>97888.000000</td>\n",
       "      <td>97888.000000</td>\n",
       "      <td>97888.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.694114e+05</td>\n",
       "      <td>41.326741</td>\n",
       "      <td>0.217561</td>\n",
       "      <td>0.190677</td>\n",
       "      <td>0.180542</td>\n",
       "      <td>0.166606</td>\n",
       "      <td>0.078594</td>\n",
       "      <td>0.095287</td>\n",
       "      <td>4.131837</td>\n",
       "      <td>6.062030</td>\n",
       "      <td>...</td>\n",
       "      <td>-57.391999</td>\n",
       "      <td>-13.75275</td>\n",
       "      <td>628.697348</td>\n",
       "      <td>610.383033</td>\n",
       "      <td>23.844409</td>\n",
       "      <td>0.998545</td>\n",
       "      <td>0.049373</td>\n",
       "      <td>0.023180</td>\n",
       "      <td>15.405873</td>\n",
       "      <td>82.77321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.023032e+05</td>\n",
       "      <td>10.775959</td>\n",
       "      <td>0.080074</td>\n",
       "      <td>0.074465</td>\n",
       "      <td>0.074215</td>\n",
       "      <td>0.067387</td>\n",
       "      <td>0.045937</td>\n",
       "      <td>0.029893</td>\n",
       "      <td>1.658758</td>\n",
       "      <td>2.362402</td>\n",
       "      <td>...</td>\n",
       "      <td>62.227907</td>\n",
       "      <td>109.23522</td>\n",
       "      <td>2302.554687</td>\n",
       "      <td>2270.307400</td>\n",
       "      <td>271.439132</td>\n",
       "      <td>0.018169</td>\n",
       "      <td>0.313497</td>\n",
       "      <td>0.210912</td>\n",
       "      <td>270.862856</td>\n",
       "      <td>106.91461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>9.827900e+04</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>0.006530</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.010000</td>\n",
       "      <td>-0.181600</td>\n",
       "      <td>0.004900</td>\n",
       "      <td>-0.181600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-664.870000</td>\n",
       "      <td>-9274.75000</td>\n",
       "      <td>-94.200000</td>\n",
       "      <td>-954.550000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.621932e+05</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>0.155380</td>\n",
       "      <td>0.131400</td>\n",
       "      <td>0.121400</td>\n",
       "      <td>0.115000</td>\n",
       "      <td>0.042400</td>\n",
       "      <td>0.074080</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-78.242500</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.298090e+05</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>0.207350</td>\n",
       "      <td>0.180000</td>\n",
       "      <td>0.170000</td>\n",
       "      <td>0.157600</td>\n",
       "      <td>0.069900</td>\n",
       "      <td>0.090600</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-37.030000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>44.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9.213135e+05</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>0.280320</td>\n",
       "      <td>0.249200</td>\n",
       "      <td>0.239200</td>\n",
       "      <td>0.217000</td>\n",
       "      <td>0.108000</td>\n",
       "      <td>0.115000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-15.430000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>120.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.255149e+06</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>0.423950</td>\n",
       "      <td>0.360000</td>\n",
       "      <td>0.340000</td>\n",
       "      <td>0.319900</td>\n",
       "      <td>0.366000</td>\n",
       "      <td>0.266700</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>32.060000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>25000.000000</td>\n",
       "      <td>25000.000000</td>\n",
       "      <td>21117.900000</td>\n",
       "      <td>1.012500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>25000.000000</td>\n",
       "      <td>1189.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 61 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ListingNumber          Term   BorrowerAPR  BorrowerRate   LenderYield  \\\n",
       "count   9.788800e+04  97888.000000  97888.000000  97888.000000  97888.000000   \n",
       "mean    6.694114e+05     41.326741      0.217561      0.190677      0.180542   \n",
       "std     3.023032e+05     10.775959      0.080074      0.074465      0.074215   \n",
       "min     9.827900e+04     12.000000      0.006530      0.000000     -0.010000   \n",
       "25%     4.621932e+05     36.000000      0.155380      0.131400      0.121400   \n",
       "50%     6.298090e+05     36.000000      0.207350      0.180000      0.170000   \n",
       "75%     9.213135e+05     36.000000      0.280320      0.249200      0.239200   \n",
       "max     1.255149e+06     60.000000      0.423950      0.360000      0.340000   \n",
       "\n",
       "       EstimatedEffectiveYield  EstimatedLoss  EstimatedReturn  \\\n",
       "count             77543.000000   77543.000000     77543.000000   \n",
       "mean                  0.166606       0.078594         0.095287   \n",
       "std                   0.067387       0.045937         0.029893   \n",
       "min                  -0.181600       0.004900        -0.181600   \n",
       "25%                   0.115000       0.042400         0.074080   \n",
       "50%                   0.157600       0.069900         0.090600   \n",
       "75%                   0.217000       0.108000         0.115000   \n",
       "max                   0.319900       0.366000         0.266700   \n",
       "\n",
       "       ProsperRating (numeric)  ProsperScore  ...  LP_ServiceFees  \\\n",
       "count             77543.000000  77543.000000  ...    97888.000000   \n",
       "mean                  4.131837      6.062030  ...      -57.391999   \n",
       "std                   1.658758      2.362402  ...       62.227907   \n",
       "min                   1.000000      1.000000  ...     -664.870000   \n",
       "25%                   3.000000      4.000000  ...      -78.242500   \n",
       "50%                   4.000000      6.000000  ...      -37.030000   \n",
       "75%                   5.000000      8.000000  ...      -15.430000   \n",
       "max                   7.000000     11.000000  ...       32.060000   \n",
       "\n",
       "       LP_CollectionFees  LP_GrossPrincipalLoss  LP_NetPrincipalLoss  \\\n",
       "count        97888.00000           97888.000000         97888.000000   \n",
       "mean           -13.75275             628.697348           610.383033   \n",
       "std            109.23522            2302.554687          2270.307400   \n",
       "min          -9274.75000             -94.200000          -954.550000   \n",
       "25%              0.00000               0.000000             0.000000   \n",
       "50%              0.00000               0.000000             0.000000   \n",
       "75%              0.00000               0.000000             0.000000   \n",
       "max              0.00000           25000.000000         25000.000000   \n",
       "\n",
       "       LP_NonPrincipalRecoverypayments  PercentFunded  Recommendations  \\\n",
       "count                     97888.000000   97888.000000     97888.000000   \n",
       "mean                         23.844409       0.998545         0.049373   \n",
       "std                         271.439132       0.018169         0.313497   \n",
       "min                           0.000000       0.700000         0.000000   \n",
       "25%                           0.000000       1.000000         0.000000   \n",
       "50%                           0.000000       1.000000         0.000000   \n",
       "75%                           0.000000       1.000000         0.000000   \n",
       "max                       21117.900000       1.012500        24.000000   \n",
       "\n",
       "       InvestmentFromFriendsCount  InvestmentFromFriendsAmount    Investors  \n",
       "count                97888.000000                 97888.000000  97888.00000  \n",
       "mean                     0.023180                    15.405873     82.77321  \n",
       "std                      0.210912                   270.862856    106.91461  \n",
       "min                      0.000000                     0.000000      1.00000  \n",
       "25%                      0.000000                     0.000000      1.00000  \n",
       "50%                      0.000000                     0.000000     44.00000  \n",
       "75%                      0.000000                     0.000000    120.00000  \n",
       "max                     20.000000                 25000.000000   1189.00000  \n",
       "\n",
       "[8 rows x 61 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get a quick describtion about the numeric values in the dataset\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Univariate Exploration\n",
    "\n",
    "> In this section, investigate distributions of individual variables. If\n",
    "you see unusual points or outliers, take a deeper look to clean things up\n",
    "and prepare yourself to look at relationships between variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:32.403445Z",
     "start_time": "2021-01-13T20:12:32.332399Z"
    },
    "cell_style": "center",
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Completed', 'Current', 'Past Due (1-15 days)', 'Defaulted',\n",
       "       'Chargedoff', 'Past Due (16-30 days)', 'Past Due (61-90 days)',\n",
       "       'Past Due (31-60 days)', 'Past Due (91-120 days)',\n",
       "       'FinalPaymentInProgress', 'Past Due (>120 days)', 'Cancelled'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the unique values of Loan Status\n",
    "df.LoanStatus.unique()\n",
    "# Past Due values have another attribute attached to it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:34.116586Z",
     "start_time": "2021-01-13T20:12:32.414453Z"
    },
    "cell_style": "center",
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "#Split the LoanStatus Column to get only the Status\n",
    "df[['LoanStatus2','LoanStatusPastDue']]= df.LoanStatus.str.split('(',expand=True,);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:34.368754Z",
     "start_time": "2021-01-13T20:12:34.130596Z"
    },
    "cell_style": "center",
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Ahmed\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will*not* be treated as literal strings when regex=True.\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "#Remove ')' from the last column LoanStatusPastDue\n",
    "df['LoanStatusPastDue'] = df['LoanStatusPastDue'].str.replace(')', '')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:34.500841Z",
     "start_time": "2021-01-13T20:12:34.380763Z"
    },
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# map category names instead of numeric categories\n",
    "df['ListingCategory'] = df['ListingCategory (numeric)'].map({0: 'Not Available', 1: 'Debt Consolidation', 2 : 'Home Improvement', 3: 'Business' , 4 : 'Personal Loan' , 5 : 'Student Use' , 6 : 'Auto' , 7 : 'Other' , 8 : 'Baby&Adoption' , 9 : 'Boat' , 10 : 'Cosmetic Procedure' , 11 : 'Engagement Ring' , 12 : 'Green Loans' , 13 : 'Household Expenses' , 14 : 'Large Purchases' , 15 : 'Medical/Dental' , 16 : 'Motorcycle' , 17 : 'RV' , 18 : 'Taxes' , 19 : 'Vacation' , 20 : 'Wedding Loans'}).fillna(df['ListingCategory (numeric)'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:34.567886Z",
     "start_time": "2021-01-13T20:12:34.511850Z"
    },
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Convert days to years\n",
    "def get_years_from_days(x, inverse = False):\n",
    "    if x > 0:\n",
    "        if not inverse:\n",
    "            return x/360\n",
    "        else:\n",
    "            return x*360\n",
    "        \n",
    "# Convert Months to years\n",
    "def get_years_from_months(x, inverse = False):\n",
    "    if x > 0:\n",
    "        if not inverse:\n",
    "            return x/12\n",
    "        else:\n",
    "            return x*12\n",
    "        \n",
    "# Convert values to log10        \n",
    "def apply_log10(x, inverse = False):\n",
    "    if not inverse:\n",
    "        return math.log(x,10)\n",
    "    else:\n",
    "        return 10**x\n",
    "    \n",
    "# Convert Values to log\n",
    "def apply_log(x, inverse = False):\n",
    "    if not inverse:\n",
    "        return np.log(x)\n",
    "    else:\n",
    "        return np.exp(x)\n",
    "\n",
    "#Convert values to 1/x\n",
    "def div_inverse(x):\n",
    "    if x == 0:\n",
    "        return 0\n",
    "    else:\n",
    "        return 1/x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:34.735011Z",
     "start_time": "2021-01-13T20:12:34.598906Z"
    },
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['$25,000-49,999', '$50,000-74,999', '$100,000+', '$75,000-99,999',\n",
       "       '$1-24,999', 'Not employed', 'Not displayed'], dtype=object)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.IncomeRange.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:34.915118Z",
     "start_time": "2021-01-13T20:12:34.750009Z"
    },
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "IncomeRangeCategories = ['Not displayed','Not employed', '$1-24,999', '$25,000-49,999', '$50,000-74,999', '$75,000-99,999', '$100,000+']\n",
    "IncomeRangeTypes = pd.api.types.CategoricalDtype(categories = IncomeRangeCategories, ordered = True)\n",
    "df['IncomeRange'] = df['IncomeRange'].astype(IncomeRangeTypes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:36.874422Z",
     "start_time": "2021-01-13T20:12:34.932128Z"
    },
    "cell_style": "center",
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Enlarge the figure size\n",
    "plt.figure(figsize = [13,4]);\n",
    "\n",
    "# Histogram of Loan Status\n",
    "# plt.subplot(5,2,1)\n",
    "plt.barh(df.LoanStatus2.unique(), df.LoanStatus2.value_counts());\n",
    "plt.title('Frequency of Loan Status');\n",
    "plt.ylabel('Loan Status');\n",
    "plt.xlabel('Frequency');\n",
    "plt.xticks(rotation = 90);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Past Due, Defaulted and Charged off loans (not payed back) are very frequent.\n",
    "\n",
    "> Not payed back Loans portions are quite large compared to payed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:38.290365Z",
     "start_time": "2021-01-13T20:12:36.888432Z"
    },
    "cell_style": "center",
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Enlarge the figure size\n",
    "plt.figure(figsize = [15,20]);\n",
    "\n",
    "#Histogram of Loan Borrow Employement Statment \n",
    "plt.subplot(5,2,2)\n",
    "plt.barh(df.EmploymentStatus.unique(), df.EmploymentStatus.value_counts());\n",
    "plt.title('Frequency of Loan Borrower Employement Status');\n",
    "plt.ylabel('Employment Status');\n",
    "plt.xlabel('Frequency');\n",
    "plt.xticks(rotation = 90);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Employment Status definitely affects how they pay back the loan."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:40.622918Z",
     "start_time": "2021-01-13T20:12:38.301371Z"
    },
    "cell_style": "center",
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Enlarge the figure size\n",
    "plt.figure(figsize = [15,20]);\n",
    "plt.subplot(5,2,8);\n",
    "bins = np.arange(0,55, 5);\n",
    "plt.hist(df.EmploymentStatusDuration.apply(get_years_from_months), bins = bins);\n",
    "plt.xticks(bins-2.5, ['{}'.format(x) for x in (get_years_from_months(y) for y in (bins*12))]);\n",
    "plt.title('Employement Status Duration Distribution');\n",
    "plt.xlabel('Employement Status Duration (Months)');\n",
    "plt.ylabel('Frequency');\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "hide_input": false,
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "<lu>\n",
    "    <li> The most frequent Duration for the current employement status is 5 years.\n",
    "    <li> Higher numbers are also available but with very low rate.\n",
    "    <li> More investigation on Employement Status and Duratio is needed\n",
    "</lu>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:46.388758Z",
     "start_time": "2021-01-13T20:12:40.647935Z"
    },
    "cell_style": "center",
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Enlarge the figure size\n",
    "plt.figure(figsize = [15,25]);\n",
    "\n",
    "#Histogram of Loan Categories\n",
    "plt.subplot(5,2,3)\n",
    "df[df['ListingCategory'] != 'Not Available']\n",
    "plt.barh(df[df['ListingCategory'] != 'Not Available'].ListingCategory.unique(), df[df['ListingCategory'] != 'Not Available'].ListingCategory.value_counts());\n",
    "plt.title('Frequency of Loan Categories');\n",
    "plt.ylabel('Loan Categories');\n",
    "plt.xlabel('Frequency');\n",
    "plt.xticks(rotation = 90);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "<lu>\n",
    "<li> Home Improvement is the most frequent\n",
    "<li> Debt Consolidation is among the most frequent category after the home improvement\n",
    "<li> Debt Consolidation means they failed to pay off a past loan, that means they may tend to not pay again\n",
    "</lu>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:12:48.296025Z",
     "start_time": "2021-01-13T20:12:46.401766Z"
    },
    "cell_style": "center",
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Enlarge the figure size\n",
    "plt.figure(figsize = [15,25]);\n",
    "\n",
    "\n",
    "#Histogram of Borrowers Income Range\n",
    "plt.subplot(5,2,4)\n",
    "sb.countplot(y = df.IncomeRange, color = sb.color_palette()[0]);\n",
    "plt.title('Frequency of Loan Borrower Income Range');\n",
    "plt.ylabel('Income Range');\n",
    "plt.xlabel('Frequency');\n",
    "plt.xticks(rotation = 90);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "<lu>\n",
    "    <li>The most frequent Borrower Income Range is the mid range.\n",
    "    <li>Higher Income Range are also available with lower frequency than the mid range\n",
    "</lu>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:00.703286Z",
     "start_time": "2021-01-13T20:12:48.310035Z"
    },
    "cell_style": "center",
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Enlarge the figure size\n",
    "plt.figure(figsize = [15,20]);\n",
    "\n",
    "#Histogram of Borrowers Monthly Salary\n",
    "plt.subplot(5,2,5);\n",
    "xticks = np.arange(0,df.StatedMonthlyIncome.max(), 1000);\n",
    "plt.hist(df.StatedMonthlyIncome, bins = xticks);\n",
    "plt.xlim(0,35000);\n",
    "plt.title('Monthly Salary Distribution');\n",
    "plt.xlabel('Monthly Salary ($)');\n",
    "plt.ylabel('Frequency');\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "<lu>\n",
    "    <li> Monthly distribution is skewed to the right\n",
    "</lu>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:03.115893Z",
     "start_time": "2021-01-13T20:13:00.759323Z"
    },
    "cell_style": "center",
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Enlarge the figure size\n",
    "plt.figure(figsize = [15,20]);\n",
    "\n",
    "temp = df[df['AmountDelinquent']!=0].AmountDelinquent.apply(apply_log)\n",
    "#Histogram of Delinquent Amount\n",
    "plt.subplot(5,2,6);\n",
    "# xticks = np.arange(0,6000, 50);, bins = xticks\n",
    "plt.hist(temp)\n",
    "xticks = [0,2,4,6,8,10,12]\n",
    "xlabels = ['{:.2f}'.format(x) for x in (apply_log(y, True) for y in xticks)]\n",
    "plt.xticks(xticks,xlabels, rotation = 90)\n",
    "\n",
    "plt.title('Delinquent Amount Distribution');\n",
    "plt.xlabel('Delinquent Amount ($)');\n",
    "plt.ylabel('Frequency');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "<lu>\n",
    "    <li> Delinquent Amount distribution is skewed to the right\n",
    "</lu>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:04.832036Z",
     "start_time": "2021-01-13T20:13:03.138909Z"
    },
    "cell_style": "center",
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Enlarge the figure size\n",
    "plt.figure(figsize = [15,20]);\n",
    "\n",
    "#Histogram of Delinuent Days\n",
    "plt.subplot(5,2,9);\n",
    "bins = np.arange(0,8,1);\n",
    "plt.hist(df['LoanCurrentDaysDelinquent'].apply(get_years_from_days), bins = bins+0.5);\n",
    "plt.title('Loan Current Days Delinquent Frequency');\n",
    "plt.xlabel('Loan Current Day Delinquent (years)');\n",
    "plt.ylabel('Frequency');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "<lu>\n",
    "    <li> There is a big portion of borrowers tend to not pay back the loan until 5 years.\n",
    "</lu>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:06.737304Z",
     "start_time": "2021-01-13T20:13:04.845044Z"
    },
    "cell_style": "center",
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Ahmed\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Enlarge the figure size\n",
    "plt.figure(figsize = [15,20]);\n",
    "\n",
    "#Histogram of Term\n",
    "plt.subplot(5,2,6)\n",
    "sb.countplot(df.Term, color = sb.color_palette()[0]);\n",
    "plt.title('Term Distribution');\n",
    "plt.xlabel('Term (Months)');\n",
    "plt.ylabel('Frequency');\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "<lu>\n",
    "    <li> The most frequent term is 36 months.\n",
    "</lu>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:08.391404Z",
     "start_time": "2021-01-13T20:13:06.747312Z"
    },
    "cell_style": "center",
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Enlarge the figure size\n",
    "plt.figure(figsize = [15,20]);\n",
    "\n",
    "\n",
    "plt.subplot(5,2,10);\n",
    "plt.hist(df.BorrowerRate);\n",
    "plt.title('Borrower Rate');\n",
    "plt.xlabel('Rate');\n",
    "plt.ylabel('Frequency');\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "<lu>\n",
    "    <li> The most frequent borrower rate is 15%\n",
    "</lu>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:10.595873Z",
     "start_time": "2021-01-13T20:13:08.411419Z"
    },
    "cell_style": "center",
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Enlarge the figure size\n",
    "plt.figure(figsize = [15,20]);\n",
    "\n",
    "temp = df[df.AvailableBankcardCredit!=0].AvailableBankcardCredit.apply(apply_log10)\n",
    "\n",
    "plt.subplot(5,2,10);\n",
    "plt.hist(temp);\n",
    "xticks = [1,2,3,4,5,6]\n",
    "xlabels = ['{}'.format(x) for x in (apply_log10(y, True) for y in xticks)]\n",
    "plt.xticks(xticks,xlabels)\n",
    "plt.title('Available Bank card Credit Distribution');\n",
    "plt.xlabel('Credit ($)');\n",
    "plt.ylabel('Frequency');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "<lu>\n",
    "    <li> Loan Delinquent distribution is skewed to the left.\n",
    "</lu>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:13.705944Z",
     "start_time": "2021-01-13T20:13:10.605880Z"
    },
    "cell_style": "center",
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Frequency')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df.LoanOriginalAmount.apply(apply_log));\n",
    "xticks = [7,7.5,8,8.5,9,9.5,10,10.5];\n",
    "plt.xticks(xticks, ['{:.0f}'.format(xx) for xx in (apply_log(x, True) for x in xticks)], rotation = 90);\n",
    "\n",
    "plt.title('Loan Amount Distribution')\n",
    "plt.xlabel('Loan Amount')\n",
    "plt.ylabel('Frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "<lu>\n",
    "    <li> Loan Amount is bimodal around 3K and 13K.\n",
    "</lu>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Variable(s) distribution(s) discussion\n",
    "\n",
    "> Most distributions are normal (in some cases: after applying a transformation)\n",
    "\n",
    "\n",
    "### Tidness of the data\n",
    "\n",
    "> Some Variables distributions are very skewed to the left/right. Log/log10 are applied in such cases"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Bivariate Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "> Visualize all relationships in the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:13.728958Z",
     "start_time": "2021-01-13T20:13:13.717952Z"
    },
    "scrolled": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# #Explore all numeric variables\n",
    "#Do not run this code ... It takes 2 hpurs to finish\n",
    "# numeric_columns = df.select_dtypes(include=['float64', 'int64']).columns.tolist()\n",
    "# g = sb.PairGrid(data = df, vars = numeric_columns)\n",
    "# g.map_diag(plt.hist)\n",
    "# g.map_offdiag(plt.scatter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:16.425753Z",
     "start_time": "2021-01-13T20:13:13.739967Z"
    },
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot Monthly Income Ration to Monthly Income\n",
    "plt.figure(figsize = [12,5])\n",
    "plt.scatter(x = df.DebtToIncomeRatio.apply(div_inverse), y = df.StatedMonthlyIncome, alpha = 0.2);\n",
    "plt.ylim(0,120000);\n",
    "plt.xlabel('Loan to Income Ratio');\n",
    "plt.ylabel('Monthly Income ($)');\n",
    "plt.title('Monthly Income Ratio vs. Monthly Income');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "> Borrowers tend to borrow loans, in most cases, up to 20 times greater than their income and in rare cases, up to 100 times greater than their income.\n",
    "\n",
    ">Yet the majority of Loan borrowers falls in a lower range (between 0 to 10 times more than their income)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "> To better understand what forces borrowers from not paying loans back. we need to filter only The number of days delinquent that is more than a year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:16.664917Z",
     "start_time": "2021-01-13T20:13:16.436762Z"
    },
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Get dataset of late payments\n",
    "df_late = df[df['LoanCurrentDaysDelinquent'].apply(get_years_from_days)>1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:16.686929Z",
     "start_time": "2021-01-13T20:13:16.674919Z"
    },
    "scrolled": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# #Explore all numeric variables\n",
    "# # Do not run this code ... It takes 2 hpurs to finish\n",
    "\n",
    "# numeric_columns = df_late.select_dtypes(include=['float64']).columns.tolist()\n",
    "# g = sb.PairGrid(data = df_late, vars = numeric_columns)\n",
    "# g.map_diag(plt.hist)\n",
    "# g.map_offdiag(plt.scatter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:16.723954Z",
     "start_time": "2021-01-13T20:13:16.698938Z"
    },
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Ahmed\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "df_late['MonthlyLoanPaymentDividedByMonthlyIncome'] = df_late['MonthlyLoanPayment'] / df_late['StatedMonthlyIncome']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:16.815014Z",
     "start_time": "2021-01-13T20:13:16.735962Z"
    }
   },
   "outputs": [],
   "source": [
    "df['MonthlyLoanPaymentDividedByMonthlyIncome'] = df['MonthlyLoanPayment'] / df['StatedMonthlyIncome']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:16.872052Z",
     "start_time": "2021-01-13T20:13:16.827022Z"
    },
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     9130.000000\n",
       "mean        42.455265\n",
       "std        563.881583\n",
       "min          0.000000\n",
       "25%          0.028120\n",
       "50%          0.047524\n",
       "75%          0.081431\n",
       "max      12571.730287\n",
       "Name: MonthlyLoanPaymentDividedByMonthlyIncome, dtype: float64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Describe late payments Dataset\n",
    "df_late['MonthlyLoanPaymentDividedByMonthlyIncome'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:16.954107Z",
     "start_time": "2021-01-13T20:13:16.885060Z"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Get only dataset of non zero values of Monthly Loan Payment and category of not (NOt Available)\n",
    "temp_df = df_late[(df_late.MonthlyLoanPaymentDividedByMonthlyIncome > 0) &\n",
    "                  (df_late.ListingCategory != 'Not Available')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Observed Relationships\n",
    "\n",
    "> There is no direct relationship between the features\n",
    "\n",
    "### Interesting Relationships\n",
    "\n",
    "> Borrower Interest rate is directly correlated to the following:\n",
    "<lu>\n",
    "    <li> Lend Yield\n",
    "    <li> Estimated Effective Yield\n",
    "    <li> Estimated Loss\n",
    "    <li> Estimated Return\n",
    "</lu>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:18.253971Z",
     "start_time": "2021-01-13T20:13:16.966114Z"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Borrow Rate vs. Lender Yield')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Borrower Interest rate to Lend Yield\n",
    "plt.figure(figsize=[7,5])\n",
    "plt.scatter(x = temp_df.BorrowerRate, y= temp_df.LenderYield)\n",
    "plt.xlabel('Borrower Rate')\n",
    "plt.ylabel('Lender Yield')\n",
    "plt.title('Borrow Rate vs. Lender Yield')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Borrowers rate is very correlated to the lender yield. That means they may be exactly equal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:13:21.397065Z",
     "start_time": "2021-01-13T20:13:18.263977Z"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Borrow Rate vs. Estimated Effective Yield')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 720x504 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Borrower Interest rate to Lend Yield\n",
    "plt.figure(figsize=[10,7])\n",
    "\n",
    "g = sb.FacetGrid(data = temp_df, hue = 'EmploymentStatus', height = 6);\n",
    "g.map(plt.scatter, 'BorrowerRate', 'EstimatedEffectiveYield');\n",
    "plt.legend(loc = 'upper left');\n",
    "plt.xlabel('Borrower Rate');\n",
    "plt.ylabel('Estimated Effective Yield');\n",
    "plt.title('Borrow Rate vs. Estimated Effective Yield');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Employment Status seems to be affecting the estimated effective yield.\n",
    "\n",
    "> The more the stable employment status is, the more the estimated effective yield"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:16:36.836794Z",
     "start_time": "2021-01-13T20:16:36.201143Z"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Borrow Rate vs. Estimated Loss')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 720x504 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Phu1vjJUoUVs0QCmlGq4eY+G8mZDdDhDr3/NmVv7aT2Xqq+42BBh9YhsGjLmWR5KuZZu3GV6EQd5spnUcQ6uMVghCq4xWnN/+Vr4snkCxVzDGCkwGOJRZu1l8eg1KJQx9r5RqsGwHErUHpZRSKiFpgFJKKZWQNEDVgNDlNrZs2RJx2xdffJHrr78eiLzcxcGDB3nmmWdKH+/YsSNo6iOllKoPNM28BlT3chv+AHXttdcC0Lp1a1577bVqq18ppRKB9qBCrZ0HT3Szbp57olu1TDdiJ3CxwVWrVnHmmWdGve+UKVPYvHkzvXr1YvLkyWzZsoVu3boBVg9s9OjRnHfeeXTs2JGnnnqKxx9/nBNPPJFTTz2V/fv3A7B582aGDx9Onz59GDhwIBs2bKj2c1RKqarQHlQg/5xY/mlH/HNiQZVSPgOnOurYsSNvvvlmlZo5ffp01q1bV9orCx0yXLduHatXr6awsJBjjz2Whx9+mNWrV3PzzTcze/ZsbrrpJiZMmMCzzz5Lp06dWLFiBddeey1LliypUruUUqo6aYAKFKc5sWp6Rd1BgwaVLtuRnZ3NeeedB1hLeqxdu5a8vDw+++wzLrzwwtJ9ioqKaqx9SikVjbgGKBEZDswAnMDzxpjpIc+PAv4CeAE3cJMxZpnvuS1ALuAB3MaYvvFsK2BNdR9LeRW4XK7SlXELCwvL3Xbr1q2lQWbixIkMHz683O1Dl+0IXNLD7Xbj9Xpp3LixLkOvlEpocbsGJSJO4GngN8AJwCUickLIZh8CPY0xvYCrgOdDnh9kjOlVI8EJIs99VQ1zYoXq0KEDX375JQCvv/56udu2a9eONWvWsGbNGiZOnEhWVha5ubmVPnajRo3o2LEjr776KmCtD/X1119Xuj6llIqHeCZJnAz8YIz50RhTDMwFRgVuYIzJM2VTWWRgP6VvzYnjnFih7rnnHiZNmsTAgQNLl8GIVtOmTenfvz/dunVj8uTJlTr+nDlz+Mc//kHPnj3p2rUrb731VqXqUUqpeInbVEci8ltguDHmGt/jy4FTjDHXh2w3BngIaAGMMMYs95X/BBzAClrPGWNmRTjOBGACwFFHHdXn559/Dno+5ulz4riypSqfTnWkVINV48tt2B0wLBoaY94E3hSR07GuR53te6q/MWaHiLQA3heRDcaYT2z2nwXMAmsuviq3usdYDUhKKZUA4hmgtgHtAh63BXZE2tgY84mIHCMizYwxe40xO3zlu0XkTawhw7AApVSNqM6etfbSVU2K5fM27QisnDU/B0w7UBOttBXPa1ArgU4i0lFEkoGLgQWBG4jIsSLW0o4i0htIBvaJSIaIZPnKM4ChwLo4tlWpyPz3x+VsBUzZ/XGVuYm7OutSqiKxfN7CghPW42lH1EBD7cUtQBlj3MD1wCJgPTDPGPOtiEwUkYm+zS4A1onIGqyMv4t8SRNHAstE5GvgC2ChMea9eLVVqXKVd39cbdalVEVi+ryFBqeKyuMvrvdBGWPeBd4NKXs24PeHgYdt9vsR6BnPtikVteq8P64G77VTqq5/3nQuPqUqUp33x9XgvXZK1fXPmwaoGuBfbqNbt25ceOGF5OfnR73vmjVrePfddyM+/+STTwbVd84553Dw4MGqNFeFqs7742rwXjulYvu8RQoHtRcmNEDVAP9cfOvWrSM5OZlnn3224p0At9sdc4B69913ady4cVWbrAL1GAvnzYTsdoBY/543s3KZd9VZl1IVieXzNu0A4SGhdrP4dLLYEAt/XMiMr2aw6/AuWma0ZFLvSYw4ekS11T9w4EDWrl3L22+/zf33309xcTFNmzZlzpw5HHnkkUybNo0dO3awZcsWmjVrxrJlyygoKGDZsmVMnTqViy66qLSumTNnsmPHDgYNGkSzZs346KOP6NChA6tWrSIvL4/hw4czYMAAPv/8c3r27MmVV17JPffcw+7du5kzZw4nn3wyhw8f5oYbbuCbb77B7XYzbdo0Ro0aVc4ZNFDVeX+c3munalIsn7daDEa2jDH15qdPnz4m1HfffRdWFsk7m98xff/V13R7sVvpT99/9TXvbH4n6jrsZGRkGGOMKSkpMSNHjjTPPPOM2b9/v/F6vcYYY/7+97+bW265xRhjzD333GN69+5t8vPzjTHG/POf/zTXXXddxLrbt29v9uzZE/b4p59+Mk6n06xdu9Z4PB7Tu3dvc+WVVxqv12vmz59vRo0aZYwxZurUqeZf//qXMcaYAwcOmE6dOpm8vLwqnW9lxfJeKaXqFdvvdO1BBZjx1QwKPcEzixd6Cpnx1Ywq9aIC14MaOHAgV199NRs3buSiiy5i586dFBcX07Fjx9LtR44cSVpaWoTaotexY0e6d+8OQNeuXRk8eDAiQvfu3UvXkFq8eDELFiwoXVq+sLCQX375RaccUkrVOg1QAXYd3hVTebTs1oO64YYbuOWWWxg5ciQff/wx06ZNK30uIyMjYl3Dhg3j119/pW/fvjz/fOjk78EqWnYDrB7066+/TufOnWM8K6WUii9NkgjQMqNlTOVVkZOTQ5s2bQB46aWXIm4XurTGokWLWLNmTWlwqurSG8OGDeNvf/sbxjdp8OrVqytdl1JKVScNUAEm9Z5EqjM1qCzVmcqk3pOq/VjTpk3jwgsvZODAgTRr1izidoMGDeK7776jV69evPLKK2HPT5gwgd/85jcMGjSoUu3485//TElJCT169KBbt278+c9/rlQ9SilV3eK23EZt6Nu3r1m1alVQWaxLOMQ7i09FpsttKNVg1fhyG3XSiKNHaEBSSqkEoEN8SimlEpIGKKWUUglJA5RSSqmEpAFKKaVUQtIApZRSKiFpgKoBDzzwAF27dqVHjx706tWLFStWRNx2/PjxvPbaawAsXbqUrl270qtXLwoKCiLuU50yMzPjWn/g+SmlVHk0zTzOli9fzjvvvMNXX31FSkoKe/fupbi4OKp958yZw5/+9CeuvPLKOLdSKaUSj/agQuS8/TabzhrM+uNPYNNZg8l5++0q1bdz506aNWtWOg9es2bNaN26NV9++SVnnHEGffr0YdiwYezcuTNov+eff5558+Zx3333cemll4bV+/LLL3PyySfTq1cv/vCHP+DxeACrB3T77bfTp08fzj77bL744gvOPPNMjj76aBYsWADAiy++yKhRoxg+fDidO3fm3nvvDavfGMPkyZPp1q0b3bt3L53F4vLLL+ett94q3e7SSy9lwYIFeDweJk+ezEknnUSPHj147rnnSuu5/vrrOeGEExgxYgS7d++u0uuplGpAIk1zXhd/qrrcxsEFC8z6nr3Md527lP6s79nLHFywIOo6QuXm5pqePXuaTp06mT/+8Y/m448/NsXFxaZfv35m9+7dxhhj5s6da6688kpjjDFXXHGFefXVV8N+Dz2nc8891xQXFxtjjPnjH/9oXnrpJWOMMYB59913jTHGjB492gwZMsQUFxebNWvWmJ49expjrCU8WrZsafbu3Wvy8/NN165dzcqVK40xZUuDvPbaa+bss882brfb7Nq1y7Rr187s2LHDfPzxx6VLdRw8eNB06NDBlJSUmOeee8785S9/McYYU1hYaPr06WN+/PFH8/rrr5fWs337dpOdnW17Tv7zUko1SLrcRkV2P/EkpjB4uQ1TWMjuJ54k+7zzKlVnZmYmX375JUuXLuWjjz7ioosu4q677mLdunUMGTIEAI/HQ6tWraKu88MPP+TLL7/kpJNOAqzlPFq0aAFAcnIyw4cPB6B79+6kpKSQlJQUtMQGwJAhQ2jatCkA559/PsuWLaNv376lzy9btoxLLrkEp9PJkUceyRlnnMHKlSsZOXIk1113Hbt37+aNN97gggsuwOVysXjxYtauXVt6fSknJ4dNmzbxySeflNbTunVrzjrrrEq9jkqphkcDVAB3yDBbReXRcjqdnHnmmZx55pl0796dp59+mq5du7J8+fKo9t+6dSvn+QLkxIkTMcZwxRVX8NBDD4Vtm5SUhIg1rVWkJTaA0m0iPTblzNF4+eWXM2fOHObOncsLL7xQuv3f/vY3hg0bFrTtu+++G1a3UkpFQ69BBXBF6MVEKo/Gxo0b2bRpU+njNWvWcPzxx7Nnz57SAFVSUsK3334bsY527dqxZs0a1qxZw8SJExk8eDCvvfZa6fWc/fv38/PPP8fUrvfff5/9+/dTUFDA/Pnz6d+/f9Dzp59+Oq+88goej4c9e/bwySefcPLJJwNWJt6TTz4JWAshgrVsx//93/9RUlICwPfff8/hw4c5/fTTmTt3Lh6Ph507d/LRRx/F1E6lVMOlPagALW6+iZ1/vjtomE9SU2lx802VrjMvL48bbriBgwcP4nK5OPbYY5k1axYTJkzgxhtvJCcnB7fbzU033VT6ZV+RE044gfvvv5+hQ4fi9XpJSkri6aefpn379lG3a8CAAVx++eX88MMP/O53vwsa3gMYM2YMy5cvp2fPnogIjzzyCC1bWutiHXnkkRx//PGMHj26dPtrrrmGLVu20Lt3b4wxNG/enPnz5zNmzBiWLFlC9+7dOe644zjjjDOibqNSqmHT5TZC5Lz9NrufeBL3zp24WrWixc03Vfr6U6J68cUXWbVqFU899VSl9s/Pz6d79+589dVXZGdnV1u7dLkNpRosXW4jGtnnnVfvAlJ1+uCDD7jqqqu45ZZbqjU4KaVUKO1BqYSh75VSDZZtD0qTJJRSSiUkDVBKKaUSkgYopZRSCUkDlFJKqYSkAaoGbNu2jVGjRtGpUyeOOeYYJk2aRHFxMWvWrOHdd98t3W7atGk89thjtdhSpZRKHBqg4swYw/nnn8/o0aPZtGkT33//PXl5edx5551hAaqq/DOaK6VUfaD3QYX4fsUulr+1mbz9RWQ2SaHfqGM47pSWla5vyZIlpKamlq7p5HQ6eeKJJ2jfvj1JSUkYY1i2bBlTp04F4LvvvuPMM8/kl19+4aabbuLGG28ErOU1Zs6cSXFxMaeccgrPPPMMTqeTzMxMbrnlFhYtWsRf//pXBgwYUPUXQSmlEoD2oAJ8v2IXH83ZQN7+IgDy9hfx0ZwNfL9iV6Xr/Pbbb+nTp09QWaNGjejQoQN33XUXF110EWvWrOGiiy4CYMOGDSxatIgvvviCe++9l5KSEtavX88rr7zCp59+ypo1a3A6ncyZMweAw4cP061bN1asWKHBSSlVr2gPKsDytzbjLvYGlbmLvSx/a3Ole1HGGNvZvCOVjxgxgpSUFFJSUmjRogW//vpructrOJ1OLrjggkq1TSmlEpkGqAD+nlO05dHo2rUrr7/+elDZoUOH2Lp1K06nM2x7//IYYAUft9td7vIaqamptvUopVRdp0N8ATKbpMRUHo3BgweTn5/P7NmzASuR4dZbb2X8+PEceeSR5ObmRlVHVZfXUEqpukYDVIB+o47BlRz8kriSHfQbdUyl6xQR3nzzTV599VU6derEcccdR2pqKg8++CCDBg3iu+++o1evXrzyyisR6whcXqNHjx4MGTKEnVVcRFEppRJdXCeLFZHhwAzACTxvjJke8vwo4C+AF3ADNxljlkWzr53qmCy2urP4VPR0slilGqyaXW5DRJzA08AQYBuwUkQWGGO+C9jsQ2CBMcaISA9gHtAlyn3j4rhTWmpAUkqpBBDPIb6TgR+MMT8aY4qBucCowA2MMXmmrAuXAZho91VKKVW/xTNAtQG2Bjze5isLIiJjRGQDsBC4KpZ9fftPEJFVIrJqz5491dJwpZRStS+eAcpuTDHsgpcx5k1jTBdgNNb1qKj39e0/yxjT1xjTt3nz5pVtq1JKqQQTzwC1DWgX8LgtsCPSxsaYT4BjRKRZrPsqpZSqf+IZoFYCnUSko4gkAxcDCwI3EJFjxTedgoj0BpKBfdHsq5RSqn6LW4AyxriB64FFwHpgnjHmWxGZKCITfZtdAKwTkTVYWXsXGYvtvvFqa7w5nU569epFt27dOO+88zh48GC528+fP5/vvitLWLz77rv54IMPKn38jz/+mHPPPbfS+yulVG2I6426xph3jTHHGWOOMcY84Ct71hjzrO/3h40xXY0xvYwx/fz3QEXat65KS0tjzZo1rFu3jiZNmvD000+Xu31ogLrvvvs4++yzw7bT5TWUUvWZziQRYv3Sj5h13ZX89eLzmHXdlaxf+lG11t+vXz+2b98OwObNmxk+fDh9+vRh4MCBbNiwgc8++4wFCxYwefJkevXqxebNmxk/fjyvvfYaAB06dOC+++5jwIABvPrqqyxevJh+/frRu3dvLrzwQvLy8gB477336NKlCwMGDOCNN96o1nNQSqmaoJPFBli/9CMWz3oKd7E1OWzu3j0snvUUAMcPHFTl+j0eDx9++CFXX301ABMmTODZZ5+lU6dOrFixgmuvvZYlS5YwcuRIzj33XH7729/a1pOamsqyZcvYu3cv559/Ph988AEZGRk8/PDDPP7449x22238/ve/Z8mSJRx77LGlS3kopVRdogEqwNK5s0uDk5+7uIilc2dXKUAVFBTQq1cvtmzZQp8+fRgyZAh5eXl89tlnXHjhhaXbFRVFN2u6P+B8/vnnfPfdd/Tv3x+A4uJi+vXrx4YNG+jYsSOdOnUC4LLLLmPWrFmVbr9SStUGDVABcvftjak8Wv5rUDk5OZx77rk8/fTTjB8/nsaNG7NmzZqY68vIyACsNaWGDBnCf/7zn6Dn16xZY7vWlFJK1SV6DSpAVtNmMZXHKjs7m5kzZ/LYY4+RlpZGx44defXVVwEr2Hz99dfW8bKyolqG49RTT+XTTz/lhx9+ACA/P5/vv/+eLl268NNPP7F582aAsACmlFJ1gQaoAAMvHocrOXjtJ1dyCgMvHldtxzjxxBPp2bMnc+fOZc6cOfzjH/+gZ8+edO3albfeeguAiy++mEcffZQTTzyxNMjYad68OS+++CKXXHIJPXr04NRTT2XDhg2kpqYya9YsRowYwYABA2jfvn21tV8ppWpKXJfbqGnVsdzG+qUfsXTubHL37SWraTMGXjyuWhIkVMV0uQ2lGqyaXW6jrjp+4CANSEoplQB0iE8ppVRC0gCllFIqIWmAUkoplZA0QCmllEpIGqCUUkolJA1QNUBEuPXWW0sfP/bYY0ybNq3cfUJnNK8J06ZN47HHHotb/Vu2bKFbt25xq18pVb9ogKoBKSkpvPHGG+zdG/2USbURoJRSKpFogApxePVudk7/gm1TlrJz+hccXr27ynW6XC4mTJjAE088Efbczz//zODBg+nRoweDBw/ml19+sV1yI9CePXu44IILOOmkkzjppJP49NNPAasHdMUVVzB06FA6dOjAG2+8wW233Ub37t0ZPnw4JSUlgLVkx+23387JJ5/MySefXDpVUqA1a9Zw6qmn0qNHD8aMGcOBAwfYvHkzvXv3Lt1m06ZN9OnTB4Avv/ySM844gz59+jBs2DB27txZWt6zZ0/69etX4TpYSikVSANUgMOrd3PwjU14DlqzinsOFnHwjU3VEqSuu+465syZQ05OTlD59ddfz7hx41i7di2XXnopN954I6eddhojR47k0UcfZc2aNRxzzDFB+0yaNImbb76ZlStX8vrrr3PNNdeUPrd582YWLlzIW2+9xWWXXcagQYP45ptvSEtLY+HChaXbNWrUiC+++ILrr7+em266Kay948aN4+GHH2bt2rV0796de++9l2OOOYbs7OzSCW7/+c9/Mn78eEpKSrjhhht47bXX+PLLL7nqqqu48847AbjyyiuZOXMmy5cvr/JrqJRqWHQmiQCHFm3BlHiDykyJl0OLtpBxYosq1d2oUSPGjRvHzJkzSUtLKy1fvnx56YKCl19+ObfddluFdX3wwQdBw3+HDh0qnVz2N7/5DUlJSXTv3h2Px8Pw4cMB6N69O1u2bCnd55JLLin99+abbw6qPycnh4MHD3LGGWcAcMUVV5QuC3LNNdfwz3/+k8cff5xXXnmFL774go0bN7Ju3TqGDBkCWOtetWrVKqyeyy+/nP/+97/Rv2hKqQZNA1QAf88p2vJY3XTTTfTu3Zsrr7wy4jbRLJPh9XpZvnx5UKDzS0mxJrt1OBwkJSWV1udwOHC73bbHiWVpjgsuuIB7772Xs846iz59+tC0aVN27NhB165dw3pJBw8e1GU/lFKVpkN8AZyNU2Iqj1WTJk0YO3Ys//jHP0rLTjvtNObOnQvAnDlzGDBgAFD+khtDhw7lqaeeKn1cmTWlXnnlldJ/+/XrF/RcdnY2RxxxBEuXLgXgX//6V2kvKDU1lWHDhvHHP/6xNNB27tyZPXv2lAaokpISvv32Wxo3bkx2djbLli0rPT+llIqWBqgAjYZ1QJKCXxJJctBoWIdqO8att94alM03c+ZM/vnPf9KjRw/+9a9/MWPGDKD8JTdmzpzJqlWr6NGjByeccALPPvtszO0oKirilFNOYcaMGbbJGy+99BKTJ0+mR48erFmzhrvvvrv0uUsvvRQRYejQoQAkJyfz2muvcfvtt9OzZ0969erFZ599BljXqa677jr69etn2+NTSqlIdLmNEIdX7+bQoi14DhbhbJxCo2Edqnz9KdF06NCBVatW0axZ5RZifOyxx8jJyeEvf/lLtbZLl9tQqsHS5TaikXFii3oXkKrTmDFj2Lx5M0uWLKntpiil6jkNUA1QYDZfrN58883qa4hSSpWjQVyDqk/DmPWVvkdKqVD1PkClpqayb98+/QJMYMYY9u3bR2pqam03RSmVQOr9EF/btm3Ztm0be/bsqe2mqHKkpqbStm3b2m6GUiqB1PsAlZSURMeOHWu7GUoppWJU74f4lFJK1U0aoJRSSiUkDVBKKaUSkgYopZRSCUkDlFJKqYSkAUoppVRC0gCllFIqIWmAUkoplZA0QCmllEpIGqCUUkolJA1QSimlElJc5+ITkeHADMAJPG+MmR7y/KXA7b6HecAfjTFf+57bAuQCHsBtjOkbz7YqpVS1emkk/PS/sscdz4ArFtR8O9bOgw/vg5xtkN0WBt8NPcbabrdw0SRmHNGYXS4nLd0eJh04yIjJO2u+zT5x60GJiBN4GvgNcAJwiYicELLZT8AZxpgewF+AWSHPDzLG9NLgpJSqU0KDE1iPXxpZs+1YOw/evhFytgLG+vftG63ykO0WLprEtGZN2JnkwoiwM8nFtGZNWPhoq5ptc4B4DvGdDPxgjPnRGFMMzAVGBW5gjPnMGHPA9/BzQNdbUErVfaHBqaLyePnwPigpCC4rKbDKQ7abcURjCh3BIaHQ4WDGEY3j28ZyxDNAtQG2Bjze5iuL5GrgvwGPDbBYRL4UkQmRdhKRCSKySkRW6ZpPSikVIGdbdOU529jlctpuGqm8JsQzQIlNme2ytiIyCCtA3R5Q3N8Y0xtriPA6ETndbl9jzCxjTF9jTN/mzZtXtc1KKVV/ZEcYlAotz25LS7fHdtNI5TUhngFqG9Au4HFbYEfoRiLSA3geGGWM2ecvN8bs8P27G3gTa8hQKaUSX8czYiuPl8F3Q1JacFlSmlUest2kAwdJ9XqDilO9XiYdOBjfNpYjngFqJdBJRDqKSDJwMRCUwiIiRwFvAJcbY74PKM8QkSz/78BQYF0c26qUUtXnigXhwag2svh6jIXzZkJ2O0Csf8+bGZ7F12MsI4bNYNre/bQqcSPG0KrEzbS9+2s1i0+MsR11q57KRc4BnsRKM3/BGPOAiEwEMMY8KyLPAxcAP/t2cRtj+orI0Vi9JrBS4f9tjHmgouP17dvXrFq1qrpPQymlVHzZXRKKb4CqaRqglFKqTrINUHG9UVepOivamxsTSV1scwJYv/Qjls6dTe6+vWQ1bcbAi8dx/MBBMdUxf/V2Hl20kR0HC2jdOI3Jwzoz2vlp1O+H7f4nlpf0HIVyPg+RjndgWisam/zSKg5KOkdMq6dDfDVNe1CqWvhvbgy8fyQpzX7sPlHUxTYngPVLP2LxrKdwFxeVlrmSUxg64fqog9T81duZ+sY3FJSUZbv9Nvkzpic9j8tTWLZhhPfDbv+0JCcPnd+98kGqnM/DfE9/2+N95riSxuQjAX0ZY2osSNn2oHQuPqVCRXtzYyKpi21OAEvnzg4KTgDu4iKWzp0ddR2PLtoY9GUPcBNzg4MTRHw/7PYvKPHw6KKNUbchTDmfh0jHCw1OACIE9ahqmg7xKRUq2psbE0ldbHMCyN23N6ZyOzsOFoSVtZYI+9u8H3b7l1celXI+DzsKq1BvDdMelFKhor25MZHUxTYngKymzWIqt9O6cVpY2Q4TYX+b98Nu//LKo1LO56FK9dYwDVBKhYr25sZEUhfbnAAGXjwOV3JKUJkrOYWBF4+Luo7JwzqTlhQ8HdCTXIzbmRq8YYT3w27/tCQnk4d1jroNYcr5PEQ63kHSCU1J8F+Dqi06xKdUKP9F7LqUEVcX25wA/IkQVcni8ycyBGbFDRh2LS5nz6jeD7v9q5zFV87nYbRvk9DjHXHiTs3iiyfN4lNKqTpJs/iUUkrVHRqglFJKJSQNUEoppRKSBiillFIJSQOUUkqphKQBSimlVELSAKWUUiohaYBSSimVkDRAKaWUSkgaoJRSSiUkDVBKKaUSkgYopZRSCanCACUik0SkkVj+ISJficjQmmicUkqphiuaHtRVxphDwFCgOXAlMD2urVJKKdXgRROg/NOgnwP80xjzNRGmRldKKaWqSzQB6ksRWYwVoBaJSBbgjW+zlFJKNXTRrKh7NdAL+NEYky8iTbCG+ZRSSqm4iaYH1Q/YaIw5KCKXAXcBOfFtllJKqYYumgD1f0C+iPQEbgN+BmbHtVVKKaUavGgClNsYY4BRwAxjzAwgK77NUkop1dBFcw0qV0SmApcDA0XECSTFt1lKKaUaumh6UBcBRVj3Q+0C2gCPxrVVSimlGrwKA5QvKM0BskXkXKDQGKPXoJRSSsVVNFMdjQW+AC4ExgIrROS38W6YUkqphi2aa1B3AicZY3YDiEhz4APgtXg2TCmlVMMWzTUohz84+eyLcj+llFKq0qLpQb0nIouA//geXwT8N35NUkoppaIIUMaYySJyPjAAa5LYWcaYN+PeMqWUUg1aND0ojDFvAG/4H4vIL8aYo+LWKqWUakCenfQk3qKuGBwIXhwp3zJxxk213axaV9lrSbrchlJKVYNnJz2Jp6g7BicgGJx4irrz7KQna7tpta6yAcpEs5GIDBeRjSLyg4hMsXn+UhFZ6/v5zDffX1T7KqVUfeAt6kr43/ziK2/YIg7xicgtkZ4CMiuq2Dcl0tPAEGAbsFJEFhhjvgvY7CfgDGPMARH5DTALOCXKfZVSqs4zEfoJkcobkvKuQZU3IeyMKOo+GfjBGPMjgIjMxZpwtjTIGGM+C9j+c6BttPsqpVR9IHh9w3vh5Q1dxABljLm3inW3AbYGPN4GnFLO9ldTlr4e675KKVUnOVK+xVPUneBhPoMj5VusQaSGK559SLtECttrVyIyCCtA3V6JfSeIyCoRWbVnz55KNVQppWrLxBk34Uz5BsEDGAQPzpRvNIuP+AaobUC7gMdtgR2hG4lID+B5YJQxZl8s+wIYY2YZY/oaY/o2b968WhqulFI16fuUHnhwYAAPDr5P6VHbTUoI8QxQK4FOItJRRJKBi4EFgRuIyFFY91ddboz5PpZ9lVKqPrjltiUcfci6A0oQHAhHHzLcctuS2m5aratMFh8AxpjHK3jeLSLXA4sAJ/CCMeZbEZnoe/5Z4G6gKfCMiIC1em/fSPvGcF5KKVUndDxkkJCrGoLQ8VBUd/PUa9Fk8XUGTqKsB3Me8Ek0lRtj3gXeDSl7NuD3a4Brot1XKaXqm0izHuhsCFFk8YnIYqC3MSbX93ga8GqNtE4ppeo5QwxZYQ1MNHPxHQUUBzwuBjrEpTVKJbq18+DD+yBnG2S3hcF3Q4+xcTzOVhAnGA9kt4vf8eqCeLz2cXw/F/64kBlfzWDX4V20zGjJpN6TGHH0iLDtfmpkXXMKHOYzGH5qVEN9qIDP2sKMdGYc0ZhdLict3R4m5RUz4qbNNdMOG2JM+XFaRO7EWkn3TaygPgaYZ4x5MP7Ni03fvn3NqlWrarsZqr5aOw/evhFKCsrKktLgvJnVGzTsjhPP49UF8Xjt4/h+LvxxIdM+m0ahp7C0LNWZyrTTptkGqVtuW+K7FmV9yf7USHj8kbOq1IaoBLwGCzPSmdasCYWOsty5VK+XaTmFNRGkbKNxhQEKQER6AwN9Dz8xxqyuxoZVGw1QKq6e6Gb1aEJlt4Ob18X/OPE6Xl0Qj9c+ju/n0NeGsvPwzrDyVhmtWPzbxVWqu1oFvAZD27ZmZ1L4oFqrEjeLr1kf75bYBqho08zTgUPGmBnANhHpWG3NUqquyNkWW3l1Hydex6sL4vHax/H93HV4V0zltSbgXHe5wqdbKq+8JlQYoETkHqwZHqb6ipKAl+PZKKUSUnbb2Mqr+zjxOl5dEI/XPo7vZ8uMljGV15qAc23p9thuEqm8JkTTgxoDjAQOAxhjdlD+RLJK1U+D77auUQRKSrPK432ceB6vLojHax/H93NS70mkOlODylKdqUzqPanKdVergNdg0oGDpHqDJ6hN9XqZlFdst2eNiCaLr9gYY0TEAIhIRpzbpFRi8l84j3cWX9BxNIsPiM9rH8f3058IEU0WX60KeA1G+K5F1bUsvj8BnbCm1X0IuAr4jzFmZvybFxtNklAqDmJNxa6pVPw65JvbRvNV3sXkeZuR6dhL78y5dH9kfunzD078gEYBeQKHMNzx7NmRK4ziNZ6/ejuPLtrIH/Ke5neuJTjxIuKEPuPhXJuJgNbO49sX7uDTPR3IdaeQ5Sqif7MtdJ3xg20T7pr/Df9ZsRWPMThFuOSUdtw/unssL0ugKmXxDQGG+ipZZIx5v7KtiCcNUEpVs1hTsWsqFb8O+ea20Xx2aAJuyob8XBRyWqNZdH9kfmlwCr0PKmKQiuI1nr96O1Pf+IYp5u+Mc36AhH799706OEj5gtMHuzrhNmVJES7xcPaRm8KC1F3zv+Hlz38Ja9plpx5V2SBVuSw+EXnYGPO+MWayMeZPxpj3ReThyrRAKVXHfHhf+P1YJQVWeXVs3wB8lXdxUHACcJPKV3kXA4QFJ7Dm4msUabKjKF7jRxdtpKDEw6XOJeHBCeDLF8Pq/HRPh6DgBOA2Tj7d2yFs9/+ssL8NIlJ5ZUVzDWoIZes0+f3Gpkyp+uudW6z/qI3HuiYUaZikvok1FTseqdvxHjKMVL9d+S+fR/85eKwL5O0kz/u67dN53maxtS3tCPAUQfFh+21ztvrua9rGK96mPOIYizPSqrzGA9Mal51XzlZy3e1tN811p4SVeSKMvEUqr6zyZjP/I3AtcLSIrA14Kgv4tFpboVQie+cWWPWPssfGU/a4vgep7LYRbmYtJ0U7lu0rEjqclbPVegzVE6Qi1f/L5/D1v4PL508Eb0DKdXmfA19wAsh07CXP2yLs0JmOvRW3L7BtBfsr3t732rd17GV60vMVbGys7d+6DgAv1pIfobw2swI6RWyDkdO2u1Z55Q3x/Rtr5vIFvn/9P32MMZdVayuUSmShwyEVldcnsaZiV3fqdryHDCPV/+WL4eXeCPcD2X0O8spmkeiX+TIuCoOedlFI78y5AOQ6czAhQcBgyHfut5/uKkrpEmV6uMfaLnSY0c+u/JJT2tlsGbm8siIGKGNMjjFmizHmEmPMz0AB1jRRmb6FBpVqGEyEL6ZI5fVJj7HWxffsdoBY/5aX8BDr9hWJ9+wdkeqJ5b2tYNvj0pcyqNEzZDp2A14yHbtLEyQA/nPyNHKdBzAB/8t1HuDlk+6Nvg2RxGm+2ftHd+eyU48q7TE5RaqSIBFRhdegROQ84HGgNbAbaA+sB7pWa0uUSlT++5DsyhuCHmNjCzCxbl+e6h4yjLb+SO+5nSg+B8elL+W49KXWg2k5WIuEW1pmtOTfJ4cHo1bV8PdPPOdDv39092oPSKGimUnifuBU4HtjTEdgMHoNSjUkfcbHVq6qT7xn74hUf5/x4eWOCIHI7nOQ2cp+W5vyiLNOHD0m8owioRxJ4EwOLktKg2ZdKt7XmQw4KEorsh1qLEoriq4NcRBNgCoxxuwDHCLiMMZ8BPSKb7OUSiDnPm7dN+L/S1mc4feRqPio7iHDaOs/9/Hw8tHPRv85+NOG8GCU2coqDzHi6BFMO20arTJaIQitMlpZy3Kc+ZfgNqQ1geTAiXx8/aPsdjD6GRj1dPh5XL8COp4RfMBmXYK3G/U0nP8cdx6/uTRI+f9XlFbEnS9+UKmXtjpEM5PEB8BorFkkmmEN851kjDkt7q2Lkd6oq5SqS8bctpiTch00MsIhMazM8vLmI0Nru1m1odLLbYzCSpC4GXgP2IyVzaeUUqqSxty2mDMOOck2DgQh2zg445CTMbcl0HpRtazCJAljzGEAEWkEvB33FimlVD3z2u+v4Ze8wxhvLuLI4qjMDE5yXUxSSMchCeGk3GiX6av/osni+wNwH1YvygulqxIfHd+mKaVU3ffa76/h50N7ATcAxpvLz4cKyEjfACknhG3fyMQz965uiWaqoz8BXY0xUdz2rJRSKtAveYfxB6cybtyFn+KyCVCHpHqnC6rLoulLbgby490QpZSqj4w31/4Jb27YNEJerEQJZYmmBzUV+ExEVgClCfHGmBvj1iqllKonxJFlH6QcWWGpawKcdEivQflF80o8BywBPge+DPhRSilVgaMyMwjvC7hwpfaPuMzGrdcm5JJ7NS6aHpTbGHNL3FuilFL10PKkizgqfSPuwk/BmwuOLFyp/XGlHG+7vSB09Dq49dr3+eszQ2q4tYklmgD1kYhMwEoxDxzii2Lud6WUatg6eh1Iygk2CRGRkyH8QaqhiyZA/c7379SAMk0zV0opFVfR3KjbsSYaopRSSgUqb0Xds4wxS0TkfLvnjTFvxK9ZSilVP/zk8FrDfAEJEQZT7lIYBsNPDk03L2+Q0z8F7nk2P+fGuV1KKVUv/PWZIfzk8AbNEl5+8LGeb+gJEhDdbOYdjTE/VVSWCHQ2c6VUXfHMxPcxhK8xJXi49tkGF5wqPZv56zZlr1WtLUop1bDtT95OeCaf8ZUrKCdAiUgXEbkAyBaR8wN+xgOpkfZTSilVsbtmjudA8lYED2AQPBxI3spdM8fXdtMSRnlZfJ2xrjU1Jnj9p1zg93Fsk1JKNQgajMoXMUAZY94C3hKRfsaY5TXYJqWUUiqqa1BjRKSRiCSJyIcisldELot7y5RSSjVo0QSoocaYQ1jDfduA44DJcW2VUkqpBi+aAJXk+/cc4D+xzMEnIsNFZKOI/CAiU2ye7yIiy0WkSET+FPLcFhH5RkTWiIjmjiulVAMTzVx8b4vIBqwl368VkeZAYUU7iYgTeBoYgtXzWikiC4wx3wVsth+4ERgdoZpBupKvUko1TNHMxTdFRB4GDhljPCKSD4yKou6TgR+MMT8CiMhc336lAcoYsxvYLSIjKtV6pZSqQZ/8+TQGOr4tfbzU25XT//JZ6eMhj3/Mpt2HAbj48Nu03/8j+e4kMl3FDGj+Eydk78GDg1X5Q9l4eAx53mZkOvbSOONjRj36bNTteP5PU0jK71W6f0n6Gq55bHr1nWiCiDiThIjcZox5xPf7hcaYVwOee9AYc0e5FYv8FhhujLnG9/hy4BRjzPU2204D8owxjwWU/QQcwLqT7TljzKyKTkZnklB1xtp58OF9kLMNstvC4Luhx9jKb1cPPTj9Xsblz6a17GWHacbs9HHcMeWe6CuI8rWb+djJvNM4l10uJy3dHs49mMWNf/oCgIevm0emp2nptm1caxjd7L7Sx8aUBanhN7/H6YUuGhmhuHgt5H9I8Neri+yMXjRPz2KbuxeBkye4i74LWS/qNOZ17sqOgwW0bpzG5GGdGX1iGwDuvWsSR+wbgdOU9S8clJCU+RHXjOtd6c/L+n9PZ/F/P6SkOJnDqR42H7uPi1K3MWLyzqj2ryLbmSTKC1BfGWN6h/5u9zjC/hcCw0IC1MnGmBtstp1GeIBqbYzZISItgPeBG4wxn9jsOwGYAHDUUUf1+fnnn8trllK1b+08ePtGKCkoK0tKg/NmBn+ZRLtdNQn86x+gU4sM3r/lzGo/TjQenH4vNxU8RboUl5blm2SeTLs+uiAV5Ws387GT+VfTwxQ6yi7Hp3q9XL4vg4Kf/uQLToHfnYa2rjWMCglSvzn0CsMLkkjybVuY83cr2IRyZJGafQ3BwWk97vz3AXfAhi5c6YN54khrVaO0JCcPnd+dpOw1bHjcQ6o7M6zqVDnE1W0nVurzsv7f0/nv2//DeMumXnI7vHzRbS9XJW+tiSAV81RHEuH3iJWF2Aa0C3jcFtgRxX4AGGN2+P7dDbyJNWRot90sY0xfY0zf5s2bR1u9UrXnw/uCv0TAevzhfZXbrhqEBieATbsPc8oD79N/+hI6TllI/+lLmL+6ZqbhGZc/Oyg4AaRLMePyZ0dXQZSv3TuNc4OCE0Chw8E7jXNtghOA+Ho/wU4vdJUGJ8A+OJWWB9fpLlxGcHACcOMuLBs6LCjx8Oiijcz4agYp7gzbqgtNVqU/L0v/+3FQcAJweR30+L4JM45oXOH+8VJegDIRfrd7bGcl0ElEOopIMnAxsCCaRolIhohk+X8HhgLrotlXqYSXsy268mi3qwahwcnv19xith8swADbDxYw9Y1vaiRItRb73KjWsi+6CqJ87Xa5widrLa88kkYmJJA5suw3tCsvN5iV2XGwgF2Hd8XULiCqz0tusf35ZhQ6Y34tqlN5AaqniBwSkVygh+93/+PuFVVsjHED1wOLgPXAPGPMtyIyUUQmAohISxHZBtwC3CUi20SkEXAksExEvga+ABYaY96r0pkqlSiy20ZXHu12Ncj/l3y87TDNIpQ3tS0PE+Vr19Ltsd0sUrmdIpI4JMF/s7tSBxCeg+bylYeIMpi1bpxGy4yWFDrt/5hI4ZB9PVF8XrKS7c/3cKonpteiupU31VGVw6Yx5l3g3ZCyZwN+34U19BfqENCzqsdXKiENvtv++sjguyu3XQ3bcbCA+au38+iijbYX8avD7PRxttegZqePo9zsLL8oX7tzDmQxp9lh2u47iVN+OZfM4iM4nHyA5EbvkefcF/EalJ/XwF3mD6xLdQddg3KlHI/B4AlKfBiAK6UL1gBUWZ2u1P648z8gbJjPm8sdW5/ANM3gofQJbD9YgOv70/m8wxsM3Pw7XEFf3yUck/WmdY4h5zwv+0pun7qwNGHjXnM7W3e1IbXQRWGqm3YttzPwN5fZXoNac9x+Jh04GM0rHhfR3KirlKpOPcZaF66z2wFi/Wt3ITva7apBpxb21zXsZKclMfWNb+I69HfHlHt4Mu16tnmb4TXCNm+z6BMkIKrXbv7q7Tx36D5+t7kfZ/54EVnFTRCEzOImyN5L+Ci5EXnOfVgBxfppHZIg4cZFxybpvPfEcN5LKyFHrIUJc8SLabOGoha/IeWIm0nJvgZXShcaO7dyXMqioBnMUxq5caUPtu1J5bpTKdxdzNR8K4nZfehEHG4Pazr+i9zk/RgMTtceBjf6G4MuPzfsnOe1msxt33cJCk67fjmKtMIkBCGtMIldvxzFF1+/jPRtQ16qG4MhL9XNp9338XPrfFb1eaQyb2G1qHDBwrpE08yVqrzQRIkjs5I5VOihoKRsiCctyUlqkoMD+SVh+7dpnMan5+yNKc15/dKPWDp3Nrn79pLVtBkDLx7H8QMHAcS9l9Z/+hK2HyxgQk4K2Sb8b/Uc8TIruwiAkY5lPJ70LC4JXwl3u2lGm3s3BxeuncfC929lRnZmafr6pKSWjLjiIyvD8L+3Q4E1KY/HCE7fEOGsTSeR6w5fzSjLVcjVx67C4bv8L3Zpatnt4ObgS/XHTH0XjzFMzZ+F7DvMIXdK0NLzfgWpJcw7vYCT1kOXrVkIVkje0C6XlcfD2qvDEqirm23iXTQzSSilGgC7lHK7IHHzK2ts9+976H14+59lQ0w5W61hNrANUuuXfsTiWU/hLraCQO7ePSye9RQAGzOPY+ob35QGR38vDai2ILXjoNXOsAQHH3/5SMcypic9bxucAFoTktCxdh4LF93EtGZHlGYI7kxyMc27G57tzYjdv4C3LMA7A65f5bpTbI+R604J2s5WztawIn9wKtxdjNukRky/Ti10cXJpcLK2EuD4rVkIEZI4aoAGKKVURKNPbBMWEB5dtJHtBwvCtp2a/GrkNOeAAPX9il0sf2sze3+aBd6ioM3dxUUsnTubl9pdHtRzg7IEjeoKUK0bp7H9YAGHxJBtE6T8iQ+3ueaFpbwH8uAI/iL98D5mHJFtm74+w1XACG9479Mvy1UUoQdVZLN1xZwiyL7DuE35a8wWprrpHBCc/ASh89YISRw1QK9BKaViMnlYZ9KSgnOo0pKcHBnak/ALSHP+fsUuPpqzgbz9RRHTq3P37S3t3YSKVF6RIY9/TIcpC0t/hjz+cel5fJLqpiTkzpkSDJ+kWkkLkVLe/ZyhPaucbZVOXx/YYgsuCQ7MLvEwsMWWcveL5JJT2kXslfm5HV46ttwaMRjUZpDQAKWUisnoE9vw0PndadM4DcG69vTQ+d2RKFK7l7+1GXex7ws9Qnp1VtNmtG6cZvtcpPLyRLoJ+emPNvHQ+d3JPTI5LMHhvbQSNqRYgWKfq0W59Ut2u+CC7LaVSl93GwedG+1l4JE/keUqBAxZrkLObrmJ47P3VHyiEh787h/dPWLvy2AoSC2hXfstXNrSgUS4vTVSeU3QIT6lVMzshv5wVpzanbe/7MvSlTogbIofV3IKAy8eR4uQa1Bg9dImD+scc1sj3YS8afdh+/OA4FT2tYfDz8svwu0BNyyaxH3NmoRNoXTRASc4koKuQQEUGxd/KpnAAu8ASIM23dP4dMpZ1pPv3AKr/lHxifYZb1s88JQOLP5sO+6AO4dc4mFoq4DAN/jv9NjwEF8fbE1oWn2PxjUyF58t7UEppapHFKndmU3KhptcKcfjSh9S2pPKatacoROu5/iBgyL20qoziy9qQedFWU+lnNsDPjgwnjv25NCqxI0YQ6sSNxftTuP+fQ/D6GcgrQlgzeO332SWBSefoKHMcx+HvleDRPi6Fqf1/LmP2z59/I3PM/S0NkG9sqDgdP7focdYzn5uNT0b70DwYqXAe+nZeAdnP7c6xhes+miauVKqxvivQZUO8wGuZAeDLu3Ccae0jMsxO0xZGPG5LdPjs9KPP4U9VJvGAT2jGLZrAGKeLFYpparVcae0ZNClXUp7UplNUuIanCDyTcix3Jwcq0iJJKFDlNFu11BpD0opVe/VxlIi0d5oHO8bkuuI2NaDqos0QCmlYvWPP1/C/pzzSStuQkHyfppkv8HVf/lPlev96x+mwKGfS+fio1F7bn2u/q16W010iE8ppQL948+XkLdvHOnFTRGE9OKm5O0bxz/+fEmV6v3rH6bAwQ1l93p5c+HgBqtcRU3TzJVSdUZ1D9XtzzmfdG/wjawubwr7c86Pua7AobrrD/2M3SKEHNIVv2OhPSilVJ0Q6YbbIY9/XOk604qbxFQeyfzV24NmeI92EUJVPg1QSqk6obwbbiurIHl/TOWRPLpoY/DcgbGsqKsi0gCllGqwmmS/gdsRMmGto4gm2W/EVE/YHIGN2mO3oq5VrqKlAUop1WBd/Zf/kNl0NvnJ+zAY8pP3kdl0dsxZfKFzBP7tiIHQuEtZj8mRBY27aBZfjDRJQilVJ3RqkWE7nFfVG27Dg9GFEbeNdM/S5GGdw+YOfL7FmTw0sZamZ6ontAellKoT3r/lzLBgVBM33PqFJkIELnWfUHMH1iN6o65SSkVB582LK13yXSlVfe666m8cUfBZ6UwJB9JO4/4XbrCdnLVrsZP+BS4aGeGQGD5Nc7Pw8eG10GrL8Jvf4/TCsvZ8kurmvSfKb8+OgwV0KXKG7bexkosoqoppgFIqSv6lyvP2F5HZJIV+o44pneS0vOfqo7uu+htHHP6Q0ptRvbkccfhD7roKaHF00LZdipwMKUgiyfdHcrYRhuQnMeKW92olSA2/+T2Gh7RneEESw29+r9wg1bnIabufih8NUEpFIXSZiLz9RXw0Z0Pp85Geq69B6oiCz7CbKcEqtwJUYG9DQkZwkhD6F7hKr9/EU2hiw4hCV2mQCWzP6YXlfx2eXsn9VOXpK6tUFIKWKvdxF3tZ/tbm0t/tnquvAaqimRK6hPQ27DQywtQ3vgGIW5DyJzb4s+u2HyygkUmN2J7yRHq+ov1U5WkWn1JRCFyqPLS8vOfqrQpmSrDrbYQ6JIaCEg+PLtpY3a0rFTbDg++4kdpTnsrupypPA5RSUQhcqjy0vLzn6qsDaadhN1OCVV5xr6IEK8EAbGZhqEZ2dX+S6qaE4KAS2J5IlkbYb2kF+6nK0wClVBT6jToGV3Lwfy6uZAf9Rh1T7nP11f0v3MCBjMFBMyUcyBjM/S/cAETuVRgMOeLlvbQSNqRYPZvQWRiqk13dG1I8vJdWQo54g9pTURbff58YzqKQ/RallfDfCvZTlaf3QSkVJc3iC3bX/G/4z4qteIzBKcIlp7Sjb/smTFvwLeN2OkgmODnCg0GwbngxwOokDztc3qjTvWdNfJUSymYZT2I/E5690LYdP+3J49PN0U346nQIXq/BQOn+94/uXuF+l/59ecRjCPDT9BFRHV8BuqKuUqq63DX/G17+/Bfb5647mEJaSHAyvqGx0DIv4AwoK8HY9mbKglPg95ghif082Dg96na3aZzGoC7N+WjDHnYcLCA92cnhYk/YdpedelS5Qaq84OSnQSomeqOuUqp6/GfF1ojPhQYnIOyxv8wZUhYpbTs8OFk1WOWF0TUawmZ8OGbqu7bb/WfF1nIDVDS9s/rzp3/t0WtQSqmYeeI48lKTaduRziOe56eipz0opRJYpNmza/L4f3r1a9zesi/sTi0ycIpUy5d4Ud4HmJJvsPobgiR1pzDrrNJj+8/9T9jfu1SU9yE3HliDQRAMXRvt4g9N/xL18R0C58oybnPNo7XsZYdpxiPusbxjBvDSXRdwqXMJTrx4cDDHcxZX3P96lc+5psXyGartz1soDVBKVYPQ/7B/0yiL5G9zSfcY8p1CmzNacunYE2KuM/Qm03jf2Bp6/JtfWRM2VLVp92EapTg5VBR+7QagAEMa4debCCmzgtPagD0NpmQtJXmG+auPDzp3B3l4yQTb/R2+vYV1h1rxHH+2DVL9jwlexn3+6u2cK8uYnvQ86VIMQFvZy/Sk5/mt938MdHyL+A7nwss45we8dNcFXHH/6/Q/pklU16BqWyyfodr+vNnRIT6lqih0GYasX4vJXHuIDI/1hZzhgT1LdjJn3ncx1Wt3k2m8b2wNPX6kPtKhIg+XnXoUTt83uFOEy049istOPYqnGxdRgAn6XwGGr5I8eH2PvRhfzylcZvG6sHM/IBmEfuXb7y98e6hlWDDqf0wT5vy+X9j53eaaVxqc/NKlOCg4ldYscKlzCQBzft8v7BjBrUiMBIlYPkO1/Xmzoz0opaoo9D/sSHO2bf/fLoihFxXpBtZ43tgay3FabVnA/5JeKB0am71hHP/IOQmApxuXzaJxr+sFJgYMlbkNpIiXxw8MjFCzCTp2p9zvSTn4BYW+WdNdqQNwpRxPpDQEg4QFo0jn1zplb4XbBXJSNqVVNMeobbF8hmr782ZHe1BKVVHof8CRLvKne2K7ZhPpBtZ43tga7XFGOpZx5YEnaevYi0OgrWMvNxU8xQhZGrTdva4XGOf8AJd4EQGXeEnx/R55EExKj90p93sG7/tf2dx/3lzc+e/jLlofcX+JMn+udeM0dphmUW3r56ljX5mxfIZq+/Nmp2692koloND/gCPNopDvjO2qxORhnUlLCk7ETktyMnlY59gaWIEhj39MhykLw37Skx0RQ0ikobHbXPOCyi51LrEdKgNolmY/n9++lG64PR7SkpycdmAFSSZ81nR34TKcSXa9UStRIhqTh3XmEfdY8k1yUHm+SWaptyuhOSDGwBxP3VqYMJbPUE193mKhAUqpKgr9DzvSXG9tzohtZomaWEZ8yOMfs2n3YdvnNu0+zLEtMnA5giNMpxYZtBb7obHWsi/oceCQWKgrOiykWVojynpCwr6U7vy79QB+zS2mUaqTLE+e7b7Gm8t7zQfRrdEOBC/WwJ6Xbo12MuzvX0U8ZqDRJ7bhrAuvZ0rJNWzzNsNrhG3eZtzpvob957/KbM/ZuI0DY8BtHMz2nF3nsvhi+Qwl4rL1cZ1JQkSGAzMAJ/C8MWZ6yPNdgH8CvYE7jTGPRbuvHZ1JooFaOw8+vA9ytkF2Wxh8N/QYW6NNsMvia/TtHpyeFDIde+jd5B26jx0ZuV2RzuGlkfDT/8q263gGXLHAtorlM8dz0r63Sq/1rGw6in43vmh/rLeuB09RaS9hqbcr40ruZKQjPOV6wuFX+WxvB3LdKWS5ihjQfAvHZ+8J6xmB1cuwEsbL2G3ntz6nOUt3W3VD8FUlAyBeHCb0dl4QZwlFIiS5reecTjfDWmxmb9aRnP6XT8vOM/Q1hejKIr1P79wCX74IJiSDMfB9WTsP/ns7FJRl+QWeZ5ariIFHbuP48fdVfOxIn4vKfuZL9wu40Vqc0Gc8nPt4TJ+3alazUx2JiBP4HhgCbANWApcYY74L2KYF0B4YDRzwB6ho9rWjAaoBWjsP3r4RSgKuAyWlwXkzazxIVbpdkbbNbg97NxDG5ktj+czxnLrvzaBgYAx83nRMcJBaOw/z+u/DgoYxsMG0ob3sCRq6+/Zgcz7Y1Ql3QJBwiYehrTZxfPaeil6F0rrtgtT6nOYs3hlcd9i+GKzeUeBgjxcvQtgApHj5TavvOaHXCXDiZeGvqTPZaoy3pPyySO/TO7fAqn9EPtGOZ1jHfes68JS9hnbnWfoaNskJ2jbo2JE+Fz1/B1//O/bPvF19gTJbQd5O+/OKf5Cq8QDVD5hmjBnmezwVwBjzkM2204C8gAAV9b6BNEA1QE90C/5r0C+7Hdy8rubb4xdLuyJtW55pOUEPPfc05n97BvD1gQy83sM4HBn0POIwpzf/FNe9B0q3K7ynGalSElobYB9IZm06iVx3+E2yWa5CJnRaGVubfYJ7TRVfl/NiyHYVlfY+9kkSySX2QS3LVcjvj10JUsX7kOzep3ubhPec7PYLeS9jfg39x470uRCnfTvs2hzY0xJHxe2PJOTzFgc1PhdfGyDw1d0GnFLd+4rIBGACwFFHHRV7K1XdlrMttvKaEku7qtrWtfP4eM8A1uxzAdb1JK/3MKv3uTD0Z7Bvs7vmf8NfsA9OkfiH3qItr0g0vaZQAkFf5I+tHxBx21x3SrlDilGze0+i+XK32S/m19BfR6TPRaR2hG4f2mOqbHCqRfFMkrD7mETbXYt6X2PMLGNMX2NM3+bNm0fdOFVPZLeNrbymxNKuqrb1w/tYeyADCM92s8rLn328PFku+1WBI5VXZOnuDjEFJwj/D7+wnAUCK9uuMHbviUTRbpv9Yn4N/XVE+lxEakfo9h/eF3k4r46IZ4DaBrQLeNwW2FED+6qGZPDd1vh7oKS0sovfWAkM/acvoeOUhfSfvoT5q7cnRLsq3LZZF/u6O54R/DhnG16vfSaev7y82cfBN7zXvEtYO/o334JLgv/ydomHgS22lFufXf0Qe8/LYPAeGZwZeHSrrXjssgPFW367nMngSKq4LNL71Gd8+Y3teIa1nzM4bX1gi3Jew5Btg44d6XPRZ3x0n61Ye+aZrezLQz9vNSieAWol0ElEOopIMnAxEO2VtqrsqxqSHmOti8PZ7QCx/g24WBw6DZF/frG4B6kK2hXVttevCP9ysLtgnd0WhyPDthn+cv/ErpHu7zlg0qzjhbSj61UPMvjITWS5CgFDlquQIS0DEiSy21lt8v1VH+mS9mFSQZxR93AM1rUn95H7uL3Jeg6QRaFxYQxckrKdNh22UOxyl06l5HCWcE6r78MSN/wzAJLdDkY9DaOfCX6d7coivU/nPg59r7bvwfjflx5jrTrTyqZBOj57D0NbBb+GQ1v/xPFXPmhtG+nYkT4X5z4e3Wcr2h6YOK3z+tOG6D5vNSjeaebnAE9ipYq/YIx5QEQmAhhjnhWRlsAqoBHgBfKAE4wxh+z2reh4miShQvWfvoTtNlO1tGmcFrY2UJ21dh4fPjvbdw0qcPjLRaumjfjdM7M5Zuq7pUFqdtIDDHR8W7rVUm9XTv/LZ9XSlAen38tNBU8FZQLmm2SeTLueO6bcw7qbj+XDkGtQToG09P64k08i07GXkvQ13O8a6HtO2PzQOQCc8sD7/Jpr1TvSsYyHk58njbLjhCZ5GAOHMo8he3J090XVO4ma4WpPV9RVDU/HKQttL14mymSe1WbtPF6auYq9h7da0wI5sshIP4aJ/7gfiHwNqqKVYyvjwen3Mi5/Nq1lHztMU2anj+OOKfeUPv/+H89l3cGybMNujQ/zv2EPxd6+kHuB8guKSCveXXoj1qGMBhyc/BLgHsEoaYBSDU+D6EEBE296n26FjrAlLtalenn2ySGAFaT+s2IrHmNwinDJKe2qPThVZNL0pXTcUhw0mW4Jhp86JJPVpXGtt0/VGl3yXTU8k4d1DlrjBmp/frF46BoSnMBa6qNrYdll5vtHd6/1L/wjfy4iKeTSdxLCkT8XcceU2m+fSiwaoFS95p9HLJFWCbVz98QPaBEQYHZjuO/Zs8PmyuvUIsN27rxIK87WxKJ5V92wmBNLnEHHMsDqJA8v/G1o0LaRZnqvyWXeVd2hAUrViqouLR3L/qNPbJNwASmQPzgF9oBa+Mo3NQ7Oeos0sWvo/HeB5fF01Q2L6V3itOm9Qe8SJ1fdsDgoSB0SQ7ZNMIo0A7xq2DRAqRpX1aWla3Np6lgC4413TA2beHXmgw/R4573gpZL/xOptsNzLWJo1+okT1igMBi+TfVy/zMrca7LIcsr5DoMnm7Z3HXtSeXWZ9dze/+WM8O2O9EmOAWew4khUxL92j6FdJtrUL+2r9zMFKp+0+U2VI2r6tLStbU0dSz3VN14x1SmJz0ftKDf9KTnufGOqUHBqbosyShhXao3aEn1dale2h7XmMy1h2jkta5RNfI6yFx7iPufiTyPnt0SHJt2H2bI4x+HbVvRwFzo8zOmDOSnDsnkiNXSHPHyU4dkZkyJtLquasi0B6VqXFWXlq6tpanLC4yhvajyFvRbUFw2l1yXovKnz+lS5OT0QheNjJDu2MdpmbPJTF3PI+6xLPAGz0n3XmoxH2cIhQEr9074Jsc2KcG5LsLkn+/cwuKcf0BAh2aHaYzBReucvWy7uxlvNbmKnR1G8p8VW7mJlHKDVNDAnW+pihnGAy2tJR7ucl/JOyu28taUhZq5lwgSLC1de1CqxlV1aenaWpo6lsAYzYJ+XYqcDC9Ish0iMxgOYRhekES2sXo/Bd5m/O/QteQXHs/0pOcZ6VgWtl9hyLLykZIPsrw25b7lJEQI+mktB4N6glceeJJDX/wbjzGsTvL4lsQIZ7CeP+WB98uWqvBPWGo8mFX/oNOqaaU3EHuM4eXPf+Gu+d/Y1qfizH9jb85WwFj/vn2jVV5LNECpGlfVpaVra2nqWALjDtPMdtsdpmnp76cXuoKuxfgZDLsxIIQ97yaV5XmX2S6vbidS8kGuw6b8yxdttw2dHTzw2EsySvgqyVM6tGgChhi/SvKwJKPEmv3Bpm7BWhI+VEXzBqo4sZtctqTAKq8lGqBUjavq0tK1tTR1LIHxEfdY8k3wRKD5JplH3GXDJZF6N4Jw37NnR3w+z2sFv9Dl1e1EWn7e0y07fOMYlmMIPPaSjBL+2riQxwJ+/tq4kCUZAUt7RKjbbkl4Tz2aPKBOScCla/QalKoVVU39ro3U8VjuqZr54EPceAe+LD5ryh9/Ft/Hviy+SCnXmU2sC0ARn3dYw4eBvbFINqRYgeGMIlfFWXyRFsKzEc2xo6nbY/M3srNaFnRSMctuG2GRzdpbukYDlFIxCAqMa+fBhzfCW/YXlGc++BBgLQLdFpjpK197wSH48D42ejvy0aFr8QRkJLiSHfQbdQwAK7O8DDnkxlDWE3NRSL/MlykwycxOHwfBeRi2Xsr+I0eyv6xgNzAN3wqrXms27MF3W8s42CxpHjoJa7FxBfUERzqWhaXTByZwHJmVDD3D6zbAHE/4dFOXnNIurEzVgMF3208ua7f0SA3RIT6lKqOyF5QD9uuc/glnNXqaDMceKynCYcgc0ILjTmkJwJtdn2Jwo6fIdOwGvGQ6dnNmo2c4Kv0z1vW5nzum3EP/Y5oEVZ/qDO59rEi9Pjg4BTK+4TV/2wG7r4TQDk1gUsRIxzLbdHp/AseRWcmsuHNI+FIV4kT6Xs2mvtNKe0xOkbhMXquiFMsSMTVEJ4tVqjKe6BZhOKQd3Lwu5v22eZsxoHhm8CS202yuE/lNi5AmHrZdOXWEimGIz9/eZck30tZhk7FY0eugVDCdLFaparvPo7IXlCM87086qOy9XFWdOgqoVJJEpHT62rywruoPDVCq4QhdwC1waCvWIFXZC8oR9vMnHVTmXq5yp36KpaJKJEnsMM1oaxekavHCuqo/9BqUajiq8z6PwXdbF5ADRXNB2WY/f/p5WMp66PLbEcrLnfops1X57Qlse5/x4edkIzBd3i6dvrYvrKv6QwOUajiq8z6Pyl5QDtjPIOyiOVNLruHLRkPC7+W6YkF4kOp4hlUeoNwZLv60gQPOZhhD2I/XP+zvb/u5jwecE2UJDWlNrB/feb7TfgoLjTV33kIzkHfaT0moC+uq/tAkCdVwVDaxIcFVtGrwMVPftb351SnC5ofOqYkmKlUR2yQJ7UGphqOyw3IJrqIZLiLNzKAzNqhEp0kSquHwDzsl0GzNFfLNAI7xWENufcZbQ3EBKprhwikSMRh1nLIwYVcZVkqH+JRKVP4ZwEP1vTosSJXnrvnf8PLnv5S7TVqSs0bmM1QqAh3iU6pOiTC7eMTyCO4f3Z3LTj2q3DnuamLBR6VipQFKqUQV6Z6kGG6o9bt/dHc2P3QOW6aPiLjAYLwXfFQqVhqglEpU4oytPEq1teCjUrHSJIlElGDLLleLWM4pwrYLf1zIjM8fYlfxQVq6PUwqcnL0EZex9KPV5B7KI8tVxMD2uRx/8a0x1+131/xv+M+KrXiMYbTzU+5Jf40jSnZD2hHWBgUHSve7fn4OTTd8SJYnjyxXIQObb+H47D3WduIbVPfPzuD7d31Oc5bu7kCuO8Vqb4uAfULn14swuzjGY12finAdatIdU5kcMLv4o+6xzHjwodLnJw/rzJJXnwqbgfysYdfbv2axqob3usrHTU6H4nzAREwuiUsb4lFfA6ZJEokmdDoesFKh6/LNj7GcU4RtF/b/PdN+WUihKVsE77htafRf1wzjLRsIcImHoW1/5vhx06Ku29+OwGQC/yzd6WK/nsXanFYs2tkJR8B/Py7xMLTVprKAE2J9TnMW7+yE2zgj7xMYpCIlSfjZJEtMumMqD4W0O98kM7XkmtIg9eD0e7mp4KmwbZ5Mu547ptwT+XjRqIb3ulKfdbu6Qtkll1T3f2/18b/fmqFJEnVCAi67XGWxnFOEbWf8+GZQcALo8X2ToOAE4DZOlu5sHVPd/m0Dlxq/zTUvYnAC+Hx326DgVHrs3R0i7rN0d4eg4FThPhUlQ9g8P9mm3elSzOSA5eHH5c+23WZc/uzyjxeNanivK/VZt6srlN3rWd3/vdXH/35rkQ7xJZoEXHa5ymI5pwjb7rL5Uyqj0P5aTK47Jaa6/eWB9wpFnKU78BgxlFdqn4qSIXzPD3n8YzbtPgzAjyn27Q5coj3SuUWzhHyFquG9rtRnPZp97F7P6v7vrT7+91uLtAeVaCLNAp2gs0PPX72d/tOX0HHKQvpPX8L81dvDN4rlnCJs29IbXnY41f4LPMtVFFPd/vLANOwdppn9toHHiKG8UvtUlAwhzqDgdK/rhcgZegFLtEc6t5iXcbdTDe91pT7r0exj93pW939vdey/30SnPahEE+Wyy3Pmfcf2/+0i3WPIdwptzmjJpWNPiFht4MV/pwiXnNKu0iuX+tce2n6wAIHS9VWDlnkIvOFz8N2se/nffJl3MXneZmQ69tIncy7dzv8dHaYsDKp7av4xyL6WQUkE7Rvl0PjXE/m15Td4HWVBae1x++n/TVNMyDWdk5tv48Y9Y/j4nvc4VFS2/afJueQVDuTzvMtK23Fq5st0zvwBgFOPPoJPN1urzz7iHsvv3ev5KqDN/TJf5rj0pQCc3Hwb7+8KvwY1sMWWiK/bwBZbbK9BRdwnJEni+/yBLA9oe0n6GjYVlAWncc4Pwla/Bev60qPusczwPZ6dPs72GtTs9HHcEbH1UYpl2fDqXGLcrq5QfcbHtw3xqK+B0ySJRFRBFtCced+xZ8lOkgL+Xi7B0PysVrZBKtJMApVZXjt07SE7QavCAufd+h5DDztxUPbF7MXDwjQPG1LK6rn48Nu02vNz2Bd4aotkHkqfgKvRahq3WECxK5+Wbg9X7S+k644klu85qjSg9W++hVWZPbnHfVVYuxZ5/4+PD12Lm9Sy+inkzEbPsP6S54LOq0uRkxEFwW12UsSZjZ4hM/U7HnGPZX1OC047sIJGntzwjDysGcPFEZzF911Oc5ZFyuKD8Ew+X6LExvyBYW0vwfBeWgkbUjz8kHIZLgnvZhoDN5VcG5TFB1aixLj82bSWfewwTa3gVNUECT/N4tMsvtjZdv41QNVBj1y3hAyb+HDYCbc9fVZYeXXOZh1p5uxAAvw0fUTp4wf/+AHZJnw0OUe8zMouG966fesM8t3JYdulu4p5uN2ksPJIy437lyMPde+hXPK8LcLKMx27mXVUi6DzmpCTElWbAX5K+Z1tz8UYkHuDA07HKQvZFCGYIE64Z394OZHfc397YmmDUglIl3yvq75fsYvlb20mb38RmU1SSPcY7N5PqzxcZWezthsWjGa2gdAbPhsZ+ysjoeX57iTb7SKVx3qxP89rf+0lz9uMHQcL6FLk5PRCV8T2QuRziVbrxmnMyTsrbDjOABIwBBU69PknTyp277m/PR4cuAgPela5UnWTJkkkuO9X7OKjORvI22/91W79a/8lme+0L480B1t5c7P5hwX9QcxjDC9//gupSeV/ZMJWhQUOiX0gDC1Pd5XYbhepPNaL/SmOAxHKD9K5yMnwgiSyjQPx/S+aNgMcMGmExnpjrPJQk4d1Zrr8ntmes3EbB8aA2zj4sf3FpUNQocEp0nEDy+d4zrJtwzwz2HY/peoCDVAJbvlbm3EXB/9lbCUmBH8blWBoc0ZL2zouOaVdTOUQfE9QoCK3N2ztIf9XeZvGabYzYi9Pd1Ni095PUt1BZT83ORqXBI9jucTDz02Otm2L3XLjgcuRh3otJQsHwcNzDorY1a09pxe6gq7p2bFrM0Dv4n+UBin/zwGTRp/i8JtsR5/YhofO786szOvoVPQyA9Le5DfZbzJ440g6TFloG5wAPkkt/zW8x31VWND7l+ds0sfMsKtOqTpBr0EluKcnLon43GEnccvii/RFCfDkRb0irj0UyXm3vke/fGv47JAYlqe7+SYp/KLKxYffpv3+H8l3J5HuKuHnJkczN+O80ufbNE4rPW56soPj9y7yTdljXex/xD2WBd4BEdsROIyX6zB4umVz17Un8dTED217Tf4/BA6JFQwCkzoCBWYz+h8HXoeL5NK/Ly/NHKxIlyInZxUnk+4xYe1plOLkvtHdY35flEoQmiRRF710x6elw3uBMpukcMWD/eN23JpYJry8ILglii/38vaH8GCX06YzUx75m+225SVy3PF/Z5ceb6RjWdgcdgu8A6Jqb6Cnn3yAUftfCKunIrEeR6k6Qqc6qov6jToGV3Lw2+RKdtBv1DFxPW5lhgVj5YowohapPBb+lHUrK1DIdyeT9ssPTL/tBtvtV2Z5bYfQVmaVDa/65+dr69iLQ6CtYy/Tk55npGNZTG17+skHuPLAk1WuR6n6Lq4JPiIyHJgBOIHnjTHTQ54X3/PnAPnAeGPMV77ntgC5gAdwG2P6xrOtieq4U6zrSoFZfP1GHVNaHi/+4b9yhwXt7veAsLKF/7uHGWmwy+W0ZiE/cJARLU7iyOybwlLWRzqW8Wjy32FaSGJEOavI2vVq2u//Mez6lNs4yd5uvyjfm48MZcxtizkp11E6DLkyy8ubjwwt3cZufr50KeY21zzgIaJ1yYFnItazoDhyL0p7T6qhidsQn4g4ge+BIcA2YCVwiTHmu4BtzgFuwApQpwAzjDGn+J7bAvQ1xpQ/KVqA+jjEl7DWzqP4zetJNmXDj26cOPEiAT2RdzLSubdZEwodZb3AVK+XaXv3k3WoI+NK7iwtH+lYxhNJ/4czQsZaaJC69O/LafrTgrBZx/NNMv+34WTsRw0Mt75S/tBgJN57snHYVOk1guPeg9FVsnYe5vXf296z5DXC0UVzAOh/TBPm/L5fpdqpVB1U40N8JwM/GGN+NMYUA3OBUSHbjAJmG8vnQGMRaRXHNqlqcuDtu4KCE4ALT1BwAph5ROOg4ARQ6HAw44jGDHR+G1R+m2te5OAEYbNRX9j3qIi9mkjz20VKWY9Gtcxh9+F9tsEpsB4NTkpZ4hmg2gCBucrbfGXRbmOAxSLypYhMiHQQEZkgIqtEZNWePfbr8Kjql138a1Tb7XLZT3jqLw9MWa9oBvHQ2agfXbQx4j4Dmm+xTVnPadPZdvtozE4fZ5vWPjt9XPSVRJjV2hh4q8lVbJk+QoOTUj7xDFD24yvRb9PfGNMb+A1wnYicbncQY8wsY0xfY0zf5s2bV761KiYVzfbt19Jtn5bd0u1BgIfO706bxmkIsFsqeP9CZqPecbAgYjsaNTLsbN6edFcxYEh3FVNw1LERs/iicceUe3gy7Xq2eZvhNcI2b7PYF/mLMKt1riOL62660/Y5pRqqeCZJbAMCU77aAjui3cYY4/93t4i8iTVk+EncWqti8pjnIh6UvwcNrxlD2PDVpAMHmWZzDWrSgYPQ8QxGn9im7F6dtYfhzT+AsZmnDsJmo27dOI1HDo21vQb1iHssCzIGQIZVFjqBbWVZwcgKSG0h9tm/I8x23ei8CBOZKtWAxbMHtRLoJCIdRSQZuBhYELLNAmCcWE4FcowxO0UkQ0SyAEQkAxgKrItjW1WMMk+6hCkl1wT1JjaYNmHT7ZyTl8+f9x6kVYkbMYZWJW6m7d3PiBYnwRUhH4ceY2HMc+C0WcDPJotv8rDOvO88I6gd200z7vT8PuieIrvpl2pNj7HW8t/Z7QCx/tXlwJWyFdcbdX1Zek9ipZm/YIx5QEQmAhhjnvWlmT8FDMdKM7/SGLNKRI4G3vRV4wL+bYx5oKLjaRZfzbKbneKGrX+ixb7PfbOfwu6mp3LkDYvi1gb/2lSBsycAOqOCUnWLziShEo8/wPQ59H7QvUxvNbmq2q/J2AWzaAPXpOlLOfLnotJ7pPzTDB2ZlcyKO4dUazuVaoB0JgmVWPyLH/Y59H7YDA1XHniSp5+ssNMc87G2HyzAULb6r+0S9SEmTV9Kxy3FpTOdZxsHwwuS6FLk5NfcYk554P1qa6dSqowGKFVrHl20kYIST8R7mUbtf6HajxWooMTDo4vsZ5YIdOTPRWEznSchnF5o5Rj9mltst5tSqoo0QKla41/8MNaFB6tyrGjLA0W74KJSqnrpYpt1VGiCwkOd1jM255/B8+JFyAzzX4vJ+rXYdumJaI4XabkOu+s8N72yJmy7Ti0yaN04je2+e5na2gQpL8LUe+7k4XtjG+qza4P/WKFCV/+1c0gM2TbBKNIigkqp6qE9qDoodLXbEbKUc3+eDjlbAWP9+/aN1mSuIfzXYrJ+LQ5aQbaR10Hm2kPc/8zKCo/nX133rvnf2NYdeJ3HLjgBbNp9GLfHQ1qS03bhQQCXeLmHWdx+T/TJEpGuNQ3q0jxsocVo089/bZ9S7mKBR2aFt10pVXUaoOqg0NVu7a7hUFJgzSoewn8txm4F2SQE57qcCo8XqdzuOk95fs0t5qHzu/NloyFMKbkGt816TOlSzA1mbtR1RrrW9NGGPUGzVkRa/dfOjCkD+alDMjnixWDIES/vpZVoFp9ScaZDfAmivCG00CGr0IUEI85hl7ONIY9/zKbdhwFrtvBXXPNonbKX/zNv2O6S5ZXShQA7tcjg/VvOtF24EAgrj+Z6TqiymSTOwnvPM7bbxHItqrxrTUGzVsRoxpSBQY9jnkFCKRUzDVAJwD+E5ucfQgPo274JU9/4prRXYHcdJdI1nJ00DQpOgVMCZTr2kOdtEbZP4HWVTbsPM+Txj3GKRFxdN1B2WhIHC6o2W7jdeewwTbGfwS5cVa41KaUSiwaoBBBpCG3lBx+SfHAFV5fkkuvM5LMjTmFT1nFh2z3itp+PbrGnF8uSb6S17MWLA5eUzXHXL/NlPjp0LW5SS8sCr6v4bdp9mMtOPSoogPqluIT5q7eX9koiLSMRSeiA3t/kYu4xs8LO429yMQ8DXe58l0JPWaBMdQobHghefn7ysM5BAR0SbKojpVTU9BpUArDrnXTK/Z5Bez8moyQXARp58hi87390yv0+bNsF3gFh8+K96jmdC52flN78GhicAI5LX8qgRs+Q6dgddl0l1P2ju3PZqUeFBaD8Em/Qza4H82PrPYVOCfvwvQ9wLxOCzuNeJvDwvQ+EBSeAQo+hy53vBpWNPrFNpa81KaUSi/agEoDdENppB1aQZIJ7M0nGzWkHVtj2ohZ4BwQtF74s+cbwxIkQx6UvJT11PW3v21x63SmS+0d356MNe8KGz/w3u44+sU3E4bVYWCnlVlp5W+BhX3locKKc8qpca1JKJQ7tQSWAS05pF1aW5cmz3TZSeagKF//DGj57q8lVgJUQYSewvKKbXScP62ybyh2L+au303/6EjpOWUj/6UuimopIKVU/aYBKAP4hNH/SgVMEb3pj223zk7JonJZUYZ2RFvJzG0fp8Nk/j7ipdELW9285MyxI+bP4/CIlGvjLIw2vhSZT+IWWV2W+PKVU/aOzmSeo9Us/YvGsp3AXF5WWuZJTGDrhejZmHmebCHBBnza8/uV2Cko8YVl7YPWYppRcw5eNhlRq8b75q7cz+bWvKQkYVktyCo/+tme5Q2qhWYp+l516VNBsFP2nL7EdImzTOI19uYW2w3l2iRJKqTrH9q9YvQaVoI4fOAiApXNnk7tvL1lNmzHw4nEcP3AQx/u28d8b9deCR9m71UXu9ync7CqiWTM3t6ZNhhJ8S1jsY4dpyiPusaTnHuCyn6fz14v+SrqrhNTje3LlXY9G37DQGOF7vHLBc7T76lFamD3sluZs7T2Zk0b+AaA0CFU0VVJ5Q4g/TR8RVRafUqr+0B5UHWI3x5xr9uVs3pmC25Rd63GJh2NaFfHQkXcF9UguPvw2rfb8HLZto27dogpSkXo4l6R+zt3mWdJsemv+lW1Dhwtjqb+6lmtXSiUsXQ+qLot0fWbHbkdQwAFwGyc7djvCkhba7//RdtvC9V9H1YZIPZzrvP8OCk5gTVF0m6tsLkD/Tb/liZRkofcwKdUwaYCqIyLNMZfrTrHdPtedEpa0kO+2T66IVB4qYpJElMtl+Ge1iETvYVJKBdJrUFVUlWXEYxGp95LlKiLXnWpbDsH3BP3fpTPId4fPvJ3uiu4G20izNOySZrTGfoqiWOk9TEopPw1QVeAfdgucJ2/qG9YSFKVfsmvnwX9vh4L99pVktytbu2ntPHj7JtbvTWfp7g7kulPIchUxsMUWfszew1JPV8aV3MlIxzIeSfo7KZTw77ZtOPhLB5zess6wSzz0b7Gl7Phv3wQlhzmjRXPe39kp7BpUz1a5wW1aOw8+vI+F7n3MaNKYXU4nLb0w6egxPHT+xNKAPDd1OiezFgBjgqc6KjYu0ijkx5TfccBkkiJuMiiEaUBaE+g6BjYttl+/6p1b4MsXwXhAnNBnPJz7eMzvjy3fuUWzblbc2hFLG5RqwDRJogoqvKi/dh68dR14KlgSPCkNev4O96oX2JTTjMU2QWRoq010abSHDaYNx8kOnGJYmJHOtGZNaLUzkz4bjyCj0El+qptjW23lktTteAFjBFfABLDrc5qHBb/js/dAxzPgigW+gHYjC5OFac2aUOgoC3ypXsO0jmMYceZf4KWR8NP/gk7D+P7vAJlkUECKRL/0htuZyv0ykaML13G564OgK6bGwL88Q/i+7z22iyRGzXdulAS8Z0lpcN7M8ADxzi2w6h/hdfS9umpBKpY2KNVw2CZJaICqgo5TFoZlXYP1Sv80fQQ80c23iGDFPDhw4mXWppMiDNkVMqHTyqCeytC2rdmZFN4JblXiZvG2HWG9mgpNyyltc8S6PYbFV62DadmR68luF/V5B9rmbUZL2R82byBYNxgfW/Ry2L1TMYn0fmS3g5vXBZfd28TqOYUSJ9wToTdc3W1QquHQLL7qVtHMCuRsi7ouh7G+lMtLegi1y2U/jVCk8qj42hyx7mg+MTGcd6DWsg9n2BSyFn95pJnfoxKpXXbldsGpvPJ4tEGpBk4DVBVUmBadHb6K0ff5A3lp93M8vet1Xtr9HN/nWwvheXxvhT+5IZRdeUu3/ZdlpPKo+NocsW77+GFbR6x2mKalr0Mof3mkxROjEqldduUSIchHKo9HG5Rq4DRAlaOiiUsrTIsefDc4y7Lmvs8fyEeHrvUtFOggz9uCjw5dy/rCs5jjOQu3EQa22IIr5NqNSzwMbLEFY2CDaYPHWL3hSQcOkuoNjhipXi+TDhzEGPAacJsox/g6nlHW5qS0CHUbJh09Jnh7u3p8dZQnNM7km2QecY9ljuessOeMgTke60bdSPP6RcWuXUlpVnmoPuPt64hUHo82KNXAaYCKYP7q7Ux+9eugG2Mnv/q1bZD69Jy9/HTk7XxaeD6jPx5mXQgH66L3qKcpcaZjDCzPuyxogUAAN6l8dOgK7vNcxS0lf6Rdo0MMabmJLFchYMhyFTKkpZUgYYAvvMdzc8kfKTRJnJOXzz1799OqxI0YQ6sSN9P27uecw/kY4Gb3tdxS8keKjWAMpT9e/++BDdn/o9XuHmOh5+8YkV/ENF/dGIPDGAodwoy9K1j440IroSI0SPkTLXqMtS76Z7fDi7DPm0meSS09/j5vJu+nn2tdd0HIT2vF3WYCC7wDuMd9FbM9Z+M2Doyxrj3N9pzNPW5r1nW7md9ZO8+6tjOtsfXv2nnh2/jfD1+7QKx/IyUnnPu4lRDh7zGJs+oJErG2QakGTpMkIuh172Lb5csbpyWx5p6hZQVRZGXtmnYsLdnD07tex/5vAi8/NFvCm+7+AMxOeoCBjm9tExyMIegLOyhjMKQdBaSw0nMsA53fBmfFAbubnsqRh74Ob3fP38HX/y4ttzIFm1LoKKsh1ZnKtNOmMeLoEbavXahL/76cTzeXJRb0P6YJc37fL2gbu/vJVv28v8L5+zQrTql6QbP4YlHeAn5bpgd8MYdkZX2fP5DleZeR523OYafQ5oyWXPJtPxwCL+1+zje8FyzTsZvBze7kPNf/kZ7sYlnBmHKz7/wZbVC5jMFyiTMoESBiNl9GKxb/dnHVj1dVmhWnVH2gWXxxEZB9FXyNScjwwJ4lO1lZYM243S/zZVwUBu3uopB+mS/TWvZxML+ET6ecVWFqeGCmW2UyBssVkqUWMZvv8K7qOV5VaVacUvWWBqgIjki3n58urDwg+8ruGlMSwud5l1FgkjkufSmDGj1DpmM34CXTsZtBjZ7huPSl7DBNI6ath/JntAmUmzFYKSFZahGz+TJaVs/xqkqz4pSqtzRAYa1ltGvasXjvyWbXtGNZueA57jmvK0nO4K5MklO457yuwTsHZGXlee1XsXV6U1nX53520Zxj05ZyeYs/cF3LC7iixR84Ln0p+SaZJ7m4LNhEypCjLKNNgEtPPSo4YzAkO8ztTGUFPcKy4kqPYZdN1md8ULmVzRdcQaozlUm9J0VsY43SrDil6q0GH6BWLniObl/eRUv24BBoyR66fXkXbba+w6O/7RmUQm67cmxAVlamw35W73yncNLIP9By2g847s3Bcf7fyU9rhRdr6fVHkq5lwJhry+q2yZAzgAf4l+dsZmVexxMX9QpOGAjJDstPa8WUkmu4qHBKUFacVxxWNtoVC+yzyc59PKh8hKsp0zqOoVVGKwShVUarmBIk4k6z4pSqtxp8koQ/wy6snOa0nPZDTHXNmfcde5bsJCngel8JhuZnteLSsSfEVFdV6eJ/Sqk6RJMk7LQw4cHJKrfvDZXn0rEn0PysVhx2gsFw2EmtBCcof/l0pZSqCxr8chu7pbltD2q3NKPcNICnToG9G4LL+l7NpWMfh8CAtHYePDE2tqUVqmE5htaN04J6UCMdy7jNNY/Wjn3whC7xUGfo0hyqAWvwPaitvSdTYIIX8SswyWztPTnyTnbBCazlGd65peyx/ybSnK2Asf59+8bIMx1Udh8bgfMEjnQsY3rS87R17MVRhTpVDaumz4JSdVWDD1AnjfxDaYad1wi7aM66Pvdz0sg/RN7JLjj5ffli2e8f3hc8wwFYjz+8L/L+ldnHRuA8gbe55pEuIWtSVaJOVcOq6bOgVF3V4If4wApS+AJSS99PpQXe6FqZm0ir8cbT0uXTp+2rtjpVDdKbkFUD1+B7UNUu8EbXytxEGo8bT/Vm1rpJ3zfVwMU1QInIcBHZKCI/iMgUm+dFRGb6nl8rIr2j3bdWNesS+bnA5RgqcxNpPG481ZtZ6yZ931QDF7cAJSJO4GngN8AJwCUiEppv/Rugk+9nAvB/Mexbe65fYR+kQpdjqMxNpPG48VRvZq2b9H1TDVzcbtQVkX7ANGPMMN/jqQDGmIcCtnkO+NgY8x/f443AmUCHiva1U52zmSullKoxNX6jbhsgcB2Ebb6yaLaJZl8ARGSCiKwSkVV79tjfdKuUUqruiWeAsouIod21SNtEs69VaMwsY0xfY0zf5s2bx9hEpZRSiSqeaebbgMD1udsCO6LcJjmKfZVSStVj8exBrQQ6iUhHEUkGLgYWhGyzABjny+Y7FcgxxuyMcl+llFL1WNx6UMYYt4hcDywCnMALxphvRWSi7/lngXeBc4AfgHzgyvL2jVdblVJKJZ4Gv9yGUkqpWqfLbSillKo7NEAppZRKSBqglFJKJSQNUEoppRKSBiillFIJSQOUUkqphFSv0sxFZA/wc0hxM2BvLTSnptTn86vP5wZ6fnVZfT43qPnz22uMGR5aWK8ClB0RWWWM6Vvb7YiX+nx+9fncQM+vLqvP5waJc346xKeUUiohaYBSSimVkBpCgJpV2w2Is/p8fvX53EDPry6rz+cGCXJ+9f4alFJKqbqpIfSglFJK1UEaoJRSSiWkOh2gRGS4iGwUkR9EZIrN8yIiM33PrxWR3gHPbRGRb0RkjYgk3BodUZxbFxFZLiJFIvKnWPZNBFU8v7r+3l3q+zyuFZHPRKRntPsmgiqeX0K/dxDV+Y3yndsaEVklIgOi3be2VfHcav69M8bUyR+shQw3A0djLRH/NXBCyDbnAP/FWmvkVGBFwHNbgGa1fR5VOLcWwEnAA8CfYtm3tn+qcn715L07DTjC9/tv/J/LevTe2Z5for93MZxfJmXX73sAG+rC+1eVc6ut964u96BOBn4wxvxojCkG5gKjQrYZBcw2ls+BxiLSqqYbWgkVnpsxZrcxZiVQEuu+CaAq55foojm3z4wxB3wPPwfaRrtvAqjK+dUF0ZxfnvF9YwMZgIl231pWlXOrFXU5QLUBtgY83uYri3YbAywWkS9FZELcWlk50ZxbPPatKVVtY316767G6uVXZt/aUJXzg8R+7yDK8xORMSKyAVgIXBXLvrWoKucGtfDeuWriIHFit0RwaLQvb5v+xpgdItICeF9ENhhjPqnWFlZeNOcWj31rSlXbWC/eOxEZhPUF7h/nr1fvnc35QWK/dxDl+Rlj3gTeFJHTgb8AZ0e7by2qyrlBLbx3dbkHtQ1oF/C4LbAj2m2MMf5/dwNvYnV/E0U05xaPfWtKldpYH947EekBPA+MMsbsi2XfWlaV80v09w5ifA98X9DHiEizWPetBVU5t9p572r7wl1lf7B6fz8CHSm74Nc1ZJsRBCdJfOErzwCyAn7/DBhe2+cUy7kFbDuN4CSJqPeto+dX59874CjgB+C0yr4udfT8Evq9i+H8jqUskaA3sN33HZPQ718Vz61W3rtaf9Gq+IKfA3yPlZlyp69sIjDR97sAT/ue/wbo6ys/2vfmfA186983kX6iOLeWWH8RHQIO+n5vFGnfRPup7PnVk/fueeAAsMb3s6q8fRPtp7LnVxfeuyjP73Zf+9cAy4EBdeX9q+y51dZ7p1MdKaWUSkh1+RqUUkqpekwDlFJKqYSkAUoppVRC0gCllFIqIWmAUkoplZA0QClVDhHx+GZv/lpEvhKR02q7TbEQkY99s1d/LSIrRaRXBds3FpFra6h5SpVLA5RS5SswxvQyxvQEpgIPRbujiDjLe1zdxGL33/SlvvY/AzxaQTWNAQ1QKiFogFIqeo2wbkD1B4NHRWSdb42ci3zlZ4rIRyLyb+Abm8epIvJP3z6rffPVISLv+qYHwld+t+/3v4jINb7fJ/t6QWtF5F5fWQcRWS8izwBfETyVTajl+CYHFZFMEfnQ1yv8RkT8s1pPx5reZo2IPBrpuErVhLo8WaxSNSFNRNYAqUAr4Cxf+flAL6An0AxYKSL+iTNPBroZY34SkTNDHt8KYIzpLiJdsGaHPg74BBgoIlsAN9DfV9cA4GURGQp08tUlwALfZJ6/AJ2BK40xFfV8hgPzfb8XAmOMMYd8c619LiILgCm+tvYCiHRck1gTvKp6SgOUUuUrCPiy7gfMFpFuWIHjP8YYD/CriPwPa4HFQ1hzPv4UUEfg4wHA3wCMMRtE5GfgOGApcCPwE9YyB0NEJB3oYIzZKCK/B4YCq331ZGIFjl+An4213lkkc0QkA2vBOv+q0gI86AtyXqye1ZE2+w6NcFwNUCruNEApFSVjzHJfb6M59ksX+B0u53Gk/VYCfbEm83wfq1f2e+DLgP0eMsY8F7iTiHSwOV6oS7HmUJuONTfl+b6y5kAfY0yJr+eWarOv7XGVqgl6DUqpKPmG5JzAPqwexEUi4hSR5sDpwBdRVPMJVnDAN7R3FLDRWCucbgXGYq1CuxT4k+9fgEXAVSKS6du3jW9dnqgYY0qAu4BTReR4IBvY7QtOg4D2vk1zgayAXat0XKWqQntQSpXPfw0KrN7EFcYYj4i8CfTD6pkY4DZjzC5fECvPM8CzIvIN1rWm8caYIt9zS4HBxph8EVmKtV7PUgBjzGJfYFkuIgB5wGWAJ9oTMcYUiMhfsQLf7cDbIrIKa+bqDb5t9onIpyKyDvivMWZyhOPujva4SlWWzmaulFIqIekQn1JKqYSkAUoppVRC0gCllFIqIWmAUkoplZA0QCmllEpIGqCUUkolJA1QSimlEtL/A9AYRT0Htqc7AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Borrower Interest rate to Lend Yield\n",
    "plt.figure(figsize=[10,7])\n",
    "\n",
    "g = sb.FacetGrid(data = temp_df, hue = 'EmploymentStatus', height = 6)\n",
    "g.map(plt.scatter, 'BorrowerRate', 'EstimatedLoss')\n",
    "\n",
    "\n",
    "# Plot Borrower Interest rate to Estimated Loss\n",
    "plt.legend(loc = 'upper left')\n",
    "plt.xlabel('Borrower Rate')\n",
    "plt.ylabel('Estimated Loss')\n",
    "plt.title('Borrow Rate vs. Estimated Loss')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The estimated loss seems to be not affected by the employment status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:18:08.868768Z",
     "start_time": "2021-01-13T20:18:07.851090Z"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 720x504 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Borrower Interest rate to Lend Yield\n",
    "plt.figure(figsize=[10,7]);\n",
    "\n",
    "# Plot Borrower Interest rate to Estimated Return\n",
    "g = sb.FacetGrid(data = temp_df, hue = 'EmploymentStatus', height = 6);\n",
    "g.map(plt.scatter, 'BorrowerRate', 'EstimatedReturn');\n",
    "plt.legend(loc = 'upper left');\n",
    "plt.xlabel('Borrower Rate');\n",
    "plt.ylabel('Estimated Return');\n",
    "plt.title('Borrow Rate vs. Estimated Return');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Multivariate Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:18:29.272002Z",
     "start_time": "2021-01-13T20:18:21.289682Z"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1440 with 19 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot MonthlyLoanPaymentDividedByMonthlyIncome vs LoanCurrentDaysDelinquent\n",
    "g = sb.FacetGrid(data = temp_df, col = 'ListingCategory', height = 4, col_wrap = 4);\n",
    "g.map(plt.scatter, 'MonthlyLoanPaymentDividedByMonthlyIncome', 'LoanCurrentDaysDelinquent');\n",
    "plt.xlim(0,1);\n",
    "# plt.legend()\n",
    "\n",
    "for axe in g.axes:\n",
    "    axe.set_title(axe.get_title().replace('ListingCategory', 'Listing Category'));\n",
    "    \n",
    "g.set_axis_labels(x_var=\"Monthly Loan Payment to Income Ratio\", y_var=\"Days Delinquent\");\n",
    "plt.suptitle('Monthly Loan Payment to Income Ratio vs. Days Delinquent', y = 1.02);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "> It seems there are some cases that their Loan Monthly payment is so much greater than their Monthly Income. (Validate this point: is that possible?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:17:20.457915Z",
     "start_time": "2021-01-13T20:17:18.797811Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot MonthlyLoanPaymentDividedByMonthlyIncome vs LoanCurrentDaysDelinquent\n",
    "g = sb.FacetGrid(data = temp_df, col = 'CreditGrade', height = 4, col_wrap = 4, margin_titles=True);\n",
    "g.map(plt.scatter, 'MonthlyLoanPaymentDividedByMonthlyIncome', 'LoanCurrentDaysDelinquent');\n",
    "plt.xlim(0,0.3);\n",
    "\n",
    "for axe in g.axes:\n",
    "    axe.set_title(axe.get_title().replace('CreditGrade', 'Credit Grade'));\n",
    "    \n",
    "g.set_axis_labels(x_var=\"Monthly Loan Payment to Income\", y_var=\"Days Delinquent\");\n",
    "plt.suptitle('Monthly Loan Payment to Income Ratio vs. Days Delinquent', y = 1.02);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The less the grade the borrower is, the more probable that the borrower does not return the borrowed money on time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-13T20:17:34.458846Z",
     "start_time": "2021-01-13T20:17:34.062588Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
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   ],
   "source": [
    "g = sb.FacetGrid(data = temp_df, hue = 'Term' , height = 4);\n",
    "g.map(plt.scatter,'LoanOriginalAmount', 'MonthlyLoanPayment');\n",
    "plt.legend(title = 'Term Duration', loc = 'upper left');\n",
    "plt.title('Loan Original Amount vs. Monthly Loan Payment');\n",
    "plt.xlabel('Loan Original Amont');\n",
    "plt.ylabel('Monthly Loan Payment');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The less the term duration is, the more monthly payment the borrowers have to pay."
   ]
  },
  {
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    "### Relationship\n",
    "\n",
    "> Borrower Interest rate is strongly correlated to the following:\n",
    "<lu>\n",
    "    <li> Lend Yield\n",
    "    <li> Estimated Effective Yield\n",
    "    <li> Estimated Loss\n",
    "    <li> Estimated Return\n",
    "</lu>\n",
    "\n",
    "### Were there any interesting or surprising interactions between features?\n",
    "\n",
    "> No"
   ]
  }
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