diff --git a/files_for_lab/[Davi]customer_analysis_round_4.ipynb b/files_for_lab/[Davi]customer_analysis_round_4.ipynb
new file mode 100644
index 0000000..548b4a5
--- /dev/null
+++ b/files_for_lab/[Davi]customer_analysis_round_4.ipynb
@@ -0,0 +1,1880 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\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>Customer</th>\n",
+       "      <th>State</th>\n",
+       "      <th>Customer Lifetime Value</th>\n",
+       "      <th>Response</th>\n",
+       "      <th>Coverage</th>\n",
+       "      <th>Education</th>\n",
+       "      <th>Effective To Date</th>\n",
+       "      <th>EmploymentStatus</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Income</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Months Since Policy Inception</th>\n",
+       "      <th>Number of Open Complaints</th>\n",
+       "      <th>Number of Policies</th>\n",
+       "      <th>Policy Type</th>\n",
+       "      <th>Policy</th>\n",
+       "      <th>Renew Offer Type</th>\n",
+       "      <th>Sales Channel</th>\n",
+       "      <th>Total Claim Amount</th>\n",
+       "      <th>Vehicle Class</th>\n",
+       "      <th>Vehicle Size</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>BU79786</td>\n",
+       "      <td>Washington</td>\n",
+       "      <td>2763.519279</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/24/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>56274</td>\n",
+       "      <td>...</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L3</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>384.811147</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>QZ44356</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>6979.535903</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>1/31/11</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>42</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L3</td>\n",
+       "      <td>Offer3</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>1131.464935</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>AI49188</td>\n",
+       "      <td>Nevada</td>\n",
+       "      <td>12887.431650</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Premium</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/19/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>48767</td>\n",
+       "      <td>...</td>\n",
+       "      <td>38</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L3</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>566.472247</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>WW63253</td>\n",
+       "      <td>California</td>\n",
+       "      <td>7645.861827</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>1/20/11</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>65</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L2</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Call Center</td>\n",
+       "      <td>529.881344</td>\n",
+       "      <td>SUV</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>HB64268</td>\n",
+       "      <td>Washington</td>\n",
+       "      <td>2813.692575</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/3/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>43836</td>\n",
+       "      <td>...</td>\n",
+       "      <td>44</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L1</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>138.130879</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9129</th>\n",
+       "      <td>LA72316</td>\n",
+       "      <td>California</td>\n",
+       "      <td>23405.987980</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/10/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>71941</td>\n",
+       "      <td>...</td>\n",
+       "      <td>89</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L1</td>\n",
+       "      <td>Offer2</td>\n",
+       "      <td>Web</td>\n",
+       "      <td>198.234764</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9130</th>\n",
+       "      <td>PK87824</td>\n",
+       "      <td>California</td>\n",
+       "      <td>3096.511217</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2/12/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>21604</td>\n",
+       "      <td>...</td>\n",
+       "      <td>28</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L3</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>379.200000</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9131</th>\n",
+       "      <td>TD14365</td>\n",
+       "      <td>California</td>\n",
+       "      <td>8163.890428</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/6/11</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>37</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L2</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>790.784983</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9132</th>\n",
+       "      <td>UP19263</td>\n",
+       "      <td>California</td>\n",
+       "      <td>7524.442436</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2/3/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>21941</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L2</td>\n",
+       "      <td>Offer3</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>691.200000</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Large</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9133</th>\n",
+       "      <td>Y167826</td>\n",
+       "      <td>California</td>\n",
+       "      <td>2611.836866</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2/14/11</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>90</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L3</td>\n",
+       "      <td>Offer4</td>\n",
+       "      <td>Call Center</td>\n",
+       "      <td>369.600000</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>9134 rows × 24 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Customer       State  Customer Lifetime Value Response  Coverage  \\\n",
+       "0     BU79786  Washington              2763.519279       No     Basic   \n",
+       "1     QZ44356     Arizona              6979.535903       No  Extended   \n",
+       "2     AI49188      Nevada             12887.431650       No   Premium   \n",
+       "3     WW63253  California              7645.861827       No     Basic   \n",
+       "4     HB64268  Washington              2813.692575       No     Basic   \n",
+       "...       ...         ...                      ...      ...       ...   \n",
+       "9129  LA72316  California             23405.987980       No     Basic   \n",
+       "9130  PK87824  California              3096.511217      Yes  Extended   \n",
+       "9131  TD14365  California              8163.890428       No  Extended   \n",
+       "9132  UP19263  California              7524.442436       No  Extended   \n",
+       "9133  Y167826  California              2611.836866       No  Extended   \n",
+       "\n",
+       "     Education Effective To Date EmploymentStatus Gender  Income  ...  \\\n",
+       "0     Bachelor           2/24/11         Employed      F   56274  ...   \n",
+       "1     Bachelor           1/31/11       Unemployed      F       0  ...   \n",
+       "2     Bachelor           2/19/11         Employed      F   48767  ...   \n",
+       "3     Bachelor           1/20/11       Unemployed      M       0  ...   \n",
+       "4     Bachelor            2/3/11         Employed      M   43836  ...   \n",
+       "...        ...               ...              ...    ...     ...  ...   \n",
+       "9129  Bachelor           2/10/11         Employed      M   71941  ...   \n",
+       "9130   College           2/12/11         Employed      F   21604  ...   \n",
+       "9131  Bachelor            2/6/11       Unemployed      M       0  ...   \n",
+       "9132   College            2/3/11         Employed      M   21941  ...   \n",
+       "9133   College           2/14/11       Unemployed      M       0  ...   \n",
+       "\n",
+       "     Months Since Policy Inception Number of Open Complaints  \\\n",
+       "0                                5                         0   \n",
+       "1                               42                         0   \n",
+       "2                               38                         0   \n",
+       "3                               65                         0   \n",
+       "4                               44                         0   \n",
+       "...                            ...                       ...   \n",
+       "9129                            89                         0   \n",
+       "9130                            28                         0   \n",
+       "9131                            37                         3   \n",
+       "9132                             3                         0   \n",
+       "9133                            90                         0   \n",
+       "\n",
+       "      Number of Policies     Policy Type        Policy  Renew Offer Type  \\\n",
+       "0                      1  Corporate Auto  Corporate L3            Offer1   \n",
+       "1                      8   Personal Auto   Personal L3            Offer3   \n",
+       "2                      2   Personal Auto   Personal L3            Offer1   \n",
+       "3                      7  Corporate Auto  Corporate L2            Offer1   \n",
+       "4                      1   Personal Auto   Personal L1            Offer1   \n",
+       "...                  ...             ...           ...               ...   \n",
+       "9129                   2   Personal Auto   Personal L1            Offer2   \n",
+       "9130                   1  Corporate Auto  Corporate L3            Offer1   \n",
+       "9131                   2  Corporate Auto  Corporate L2            Offer1   \n",
+       "9132                   3   Personal Auto   Personal L2            Offer3   \n",
+       "9133                   1  Corporate Auto  Corporate L3            Offer4   \n",
+       "\n",
+       "      Sales Channel Total Claim Amount  Vehicle Class Vehicle Size  \n",
+       "0             Agent         384.811147   Two-Door Car      Medsize  \n",
+       "1             Agent        1131.464935  Four-Door Car      Medsize  \n",
+       "2             Agent         566.472247   Two-Door Car      Medsize  \n",
+       "3       Call Center         529.881344            SUV      Medsize  \n",
+       "4             Agent         138.130879  Four-Door Car      Medsize  \n",
+       "...             ...                ...            ...          ...  \n",
+       "9129            Web         198.234764  Four-Door Car      Medsize  \n",
+       "9130         Branch         379.200000  Four-Door Car      Medsize  \n",
+       "9131         Branch         790.784983  Four-Door Car      Medsize  \n",
+       "9132         Branch         691.200000  Four-Door Car        Large  \n",
+       "9133    Call Center         369.600000   Two-Door Car      Medsize  \n",
+       "\n",
+       "[9134 rows x 24 columns]"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np  \n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')\n",
+    "\n",
+    "%matplotlib inline\n",
+    "df = pd.read_csv(r'csv_files\\marketing_customer_analysis.csv')\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\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>customer</th>\n",
+       "      <th>state</th>\n",
+       "      <th>customer_lifetime_value</th>\n",
+       "      <th>response</th>\n",
+       "      <th>coverage</th>\n",
+       "      <th>education</th>\n",
+       "      <th>effective_to_date</th>\n",
+       "      <th>employmentstatus</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>income</th>\n",
+       "      <th>...</th>\n",
+       "      <th>months_since_policy_inception</th>\n",
+       "      <th>number_of_open_complaints</th>\n",
+       "      <th>number_of_policies</th>\n",
+       "      <th>policy_type</th>\n",
+       "      <th>policy</th>\n",
+       "      <th>renew_offer_type</th>\n",
+       "      <th>sales_channel</th>\n",
+       "      <th>total_claim_amount</th>\n",
+       "      <th>vehicle_class</th>\n",
+       "      <th>vehicle_size</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>BU79786</td>\n",
+       "      <td>Washington</td>\n",
+       "      <td>2763.519279</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/24/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>56274</td>\n",
+       "      <td>...</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L3</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>384.811147</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>QZ44356</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>6979.535903</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>1/31/11</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>42</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L3</td>\n",
+       "      <td>Offer3</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>1131.464935</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>AI49188</td>\n",
+       "      <td>Nevada</td>\n",
+       "      <td>12887.431650</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Premium</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/19/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>48767</td>\n",
+       "      <td>...</td>\n",
+       "      <td>38</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L3</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>566.472247</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>WW63253</td>\n",
+       "      <td>California</td>\n",
+       "      <td>7645.861827</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>1/20/11</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>65</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L2</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Call Center</td>\n",
+       "      <td>529.881344</td>\n",
+       "      <td>SUV</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>HB64268</td>\n",
+       "      <td>Washington</td>\n",
+       "      <td>2813.692575</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/3/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>43836</td>\n",
+       "      <td>...</td>\n",
+       "      <td>44</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L1</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>138.130879</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9129</th>\n",
+       "      <td>LA72316</td>\n",
+       "      <td>California</td>\n",
+       "      <td>23405.987980</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/10/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>71941</td>\n",
+       "      <td>...</td>\n",
+       "      <td>89</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L1</td>\n",
+       "      <td>Offer2</td>\n",
+       "      <td>Web</td>\n",
+       "      <td>198.234764</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9130</th>\n",
+       "      <td>PK87824</td>\n",
+       "      <td>California</td>\n",
+       "      <td>3096.511217</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2/12/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>21604</td>\n",
+       "      <td>...</td>\n",
+       "      <td>28</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L3</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>379.200000</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9131</th>\n",
+       "      <td>TD14365</td>\n",
+       "      <td>California</td>\n",
+       "      <td>8163.890428</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/6/11</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>37</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L2</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>790.784983</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9132</th>\n",
+       "      <td>UP19263</td>\n",
+       "      <td>California</td>\n",
+       "      <td>7524.442436</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2/3/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>21941</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L2</td>\n",
+       "      <td>Offer3</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>691.200000</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Large</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9133</th>\n",
+       "      <td>Y167826</td>\n",
+       "      <td>California</td>\n",
+       "      <td>2611.836866</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2/14/11</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>90</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L3</td>\n",
+       "      <td>Offer4</td>\n",
+       "      <td>Call Center</td>\n",
+       "      <td>369.600000</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>9134 rows × 24 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer       state  customer_lifetime_value response  coverage  \\\n",
+       "0     BU79786  Washington              2763.519279       No     Basic   \n",
+       "1     QZ44356     Arizona              6979.535903       No  Extended   \n",
+       "2     AI49188      Nevada             12887.431650       No   Premium   \n",
+       "3     WW63253  California              7645.861827       No     Basic   \n",
+       "4     HB64268  Washington              2813.692575       No     Basic   \n",
+       "...       ...         ...                      ...      ...       ...   \n",
+       "9129  LA72316  California             23405.987980       No     Basic   \n",
+       "9130  PK87824  California              3096.511217      Yes  Extended   \n",
+       "9131  TD14365  California              8163.890428       No  Extended   \n",
+       "9132  UP19263  California              7524.442436       No  Extended   \n",
+       "9133  Y167826  California              2611.836866       No  Extended   \n",
+       "\n",
+       "     education effective_to_date employmentstatus gender  income  ...  \\\n",
+       "0     Bachelor           2/24/11         Employed      F   56274  ...   \n",
+       "1     Bachelor           1/31/11       Unemployed      F       0  ...   \n",
+       "2     Bachelor           2/19/11         Employed      F   48767  ...   \n",
+       "3     Bachelor           1/20/11       Unemployed      M       0  ...   \n",
+       "4     Bachelor            2/3/11         Employed      M   43836  ...   \n",
+       "...        ...               ...              ...    ...     ...  ...   \n",
+       "9129  Bachelor           2/10/11         Employed      M   71941  ...   \n",
+       "9130   College           2/12/11         Employed      F   21604  ...   \n",
+       "9131  Bachelor            2/6/11       Unemployed      M       0  ...   \n",
+       "9132   College            2/3/11         Employed      M   21941  ...   \n",
+       "9133   College           2/14/11       Unemployed      M       0  ...   \n",
+       "\n",
+       "     months_since_policy_inception number_of_open_complaints  \\\n",
+       "0                                5                         0   \n",
+       "1                               42                         0   \n",
+       "2                               38                         0   \n",
+       "3                               65                         0   \n",
+       "4                               44                         0   \n",
+       "...                            ...                       ...   \n",
+       "9129                            89                         0   \n",
+       "9130                            28                         0   \n",
+       "9131                            37                         3   \n",
+       "9132                             3                         0   \n",
+       "9133                            90                         0   \n",
+       "\n",
+       "      number_of_policies     policy_type        policy  renew_offer_type  \\\n",
+       "0                      1  Corporate Auto  Corporate L3            Offer1   \n",
+       "1                      8   Personal Auto   Personal L3            Offer3   \n",
+       "2                      2   Personal Auto   Personal L3            Offer1   \n",
+       "3                      7  Corporate Auto  Corporate L2            Offer1   \n",
+       "4                      1   Personal Auto   Personal L1            Offer1   \n",
+       "...                  ...             ...           ...               ...   \n",
+       "9129                   2   Personal Auto   Personal L1            Offer2   \n",
+       "9130                   1  Corporate Auto  Corporate L3            Offer1   \n",
+       "9131                   2  Corporate Auto  Corporate L2            Offer1   \n",
+       "9132                   3   Personal Auto   Personal L2            Offer3   \n",
+       "9133                   1  Corporate Auto  Corporate L3            Offer4   \n",
+       "\n",
+       "      sales_channel total_claim_amount  vehicle_class vehicle_size  \n",
+       "0             Agent         384.811147   Two-Door Car      Medsize  \n",
+       "1             Agent        1131.464935  Four-Door Car      Medsize  \n",
+       "2             Agent         566.472247   Two-Door Car      Medsize  \n",
+       "3       Call Center         529.881344            SUV      Medsize  \n",
+       "4             Agent         138.130879  Four-Door Car      Medsize  \n",
+       "...             ...                ...            ...          ...  \n",
+       "9129            Web         198.234764  Four-Door Car      Medsize  \n",
+       "9130         Branch         379.200000  Four-Door Car      Medsize  \n",
+       "9131         Branch         790.784983  Four-Door Car      Medsize  \n",
+       "9132         Branch         691.200000  Four-Door Car        Large  \n",
+       "9133    Call Center         369.600000   Two-Door Car      Medsize  \n",
+       "\n",
+       "[9134 rows x 24 columns]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cols = []\n",
+    "for i in range(len(df.columns)):\n",
+    "    cols.append(df.columns[i].lower().replace(' ', '_'))\n",
+    "df.columns = cols\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customer_lifetime_value</th>\n",
+       "      <th>income</th>\n",
+       "      <th>monthly_premium_auto</th>\n",
+       "      <th>months_since_last_claim</th>\n",
+       "      <th>months_since_policy_inception</th>\n",
+       "      <th>number_of_open_complaints</th>\n",
+       "      <th>number_of_policies</th>\n",
+       "      <th>total_claim_amount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>9134.000000</td>\n",
+       "      <td>9134.000000</td>\n",
+       "      <td>9134.000000</td>\n",
+       "      <td>9134.000000</td>\n",
+       "      <td>9134.000000</td>\n",
+       "      <td>9134.000000</td>\n",
+       "      <td>9134.000000</td>\n",
+       "      <td>9134.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>8004.940475</td>\n",
+       "      <td>37657.380009</td>\n",
+       "      <td>93.219291</td>\n",
+       "      <td>15.097000</td>\n",
+       "      <td>48.064594</td>\n",
+       "      <td>0.384388</td>\n",
+       "      <td>2.966170</td>\n",
+       "      <td>434.088794</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>6870.967608</td>\n",
+       "      <td>30379.904734</td>\n",
+       "      <td>34.407967</td>\n",
+       "      <td>10.073257</td>\n",
+       "      <td>27.905991</td>\n",
+       "      <td>0.910384</td>\n",
+       "      <td>2.390182</td>\n",
+       "      <td>290.500092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1898.007675</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>61.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.099007</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>3994.251794</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>68.000000</td>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>24.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>272.258244</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>5780.182197</td>\n",
+       "      <td>33889.500000</td>\n",
+       "      <td>83.000000</td>\n",
+       "      <td>14.000000</td>\n",
+       "      <td>48.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>383.945434</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>8962.167041</td>\n",
+       "      <td>62320.000000</td>\n",
+       "      <td>109.000000</td>\n",
+       "      <td>23.000000</td>\n",
+       "      <td>71.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>547.514839</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>83325.381190</td>\n",
+       "      <td>99981.000000</td>\n",
+       "      <td>298.000000</td>\n",
+       "      <td>35.000000</td>\n",
+       "      <td>99.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>9.000000</td>\n",
+       "      <td>2893.239678</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       customer_lifetime_value        income  monthly_premium_auto  \\\n",
+       "count              9134.000000   9134.000000           9134.000000   \n",
+       "mean               8004.940475  37657.380009             93.219291   \n",
+       "std                6870.967608  30379.904734             34.407967   \n",
+       "min                1898.007675      0.000000             61.000000   \n",
+       "25%                3994.251794      0.000000             68.000000   \n",
+       "50%                5780.182197  33889.500000             83.000000   \n",
+       "75%                8962.167041  62320.000000            109.000000   \n",
+       "max               83325.381190  99981.000000            298.000000   \n",
+       "\n",
+       "       months_since_last_claim  months_since_policy_inception  \\\n",
+       "count              9134.000000                    9134.000000   \n",
+       "mean                 15.097000                      48.064594   \n",
+       "std                  10.073257                      27.905991   \n",
+       "min                   0.000000                       0.000000   \n",
+       "25%                   6.000000                      24.000000   \n",
+       "50%                  14.000000                      48.000000   \n",
+       "75%                  23.000000                      71.000000   \n",
+       "max                  35.000000                      99.000000   \n",
+       "\n",
+       "       number_of_open_complaints  number_of_policies  total_claim_amount  \n",
+       "count                9134.000000         9134.000000         9134.000000  \n",
+       "mean                    0.384388            2.966170          434.088794  \n",
+       "std                     0.910384            2.390182          290.500092  \n",
+       "min                     0.000000            1.000000            0.099007  \n",
+       "25%                     0.000000            1.000000          272.258244  \n",
+       "50%                     0.000000            2.000000          383.945434  \n",
+       "75%                     0.000000            4.000000          547.514839  \n",
+       "max                     5.000000            9.000000         2893.239678  "
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Describe DataFrame.\n",
+    "\n",
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x1d022f42f50>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show a plot of the total number of responses.\n",
+    "\n",
+    "sns.displot(df['response'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='count', ylabel='sales_channel'>"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Show a plot of the response rate by the sales channel.\n",
+    "\n",
+    "sns.countplot(data=df, y='sales_channel', hue='response', saturation=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='response', ylabel='total_claim_amount'>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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VCETAeT4+PpoyZUqFbS+++KJ8fHi7AIC34jc8cJEOHTooNjbW4Vjbtm112223uakiAIArEIiAS7zwwgsOz59//nk3VQIAcBUCEXCJ//znPw7PV65c6aZKAACuQiACLpKVlaXFixc7HFu8eLGysrLcVBEAwBUIRMB5hmFo1qxZlz3OOkQA4L0IRMB5GRkZSk1NVWlpqcPx0tJSpaamspcZAHgxAhFwXpMmTdSxY0f5+vo6HPf19VWnTp3UpEkTN1UGAKhpBCLgPIvForFjx1Z4aWzs2LGyWCxuqAoA4AoEIuAikZGRatWqlcOxVq1a6YYbbnBTRQAAVyAQARfJysrS7t27HY79+OOP3GUGAF6OQAScZxiGZsyYUe6S2eWOAwC8B4EIOO/w4cPauXNnhW07d+7U4cOHXVwRAMBVCEQAAMD0CETAedHR0eU2dr2gbdu2io6OdnFFAABXIRAB51ksFj333HMVtj333HPcdg8AXoxABFwkMjJSbdq0cTgWExPDbfcA4OUIRMBFsrKytHfvXodje/fu5bZ7APByBCLgPDZ3BQDzIhAB57G5KwCYF4EIOK9JkyZXvMuMzV0BwHsRiICLFBcXV3i8qKjIxZUAAFyJQAScd/jwYe3fv7/Ctv3797NSNQB4MQIRcN7VJk0zqRoAvBeBCAAAmB6BCAAAmJ5bA1FiYqI6duyoBg0aKDQ0VPfff7/27dvn0McwDE2dOlUREREKDAzUnXfeqR9//NGhT3FxsUaPHq2QkBBdd911GjBgQLmF9PLz8xUfHy+r1Sqr1ar4+HidPHmypk8RtcjVtuZg6w4A8F5uDUTr16/XM888o5SUFK1Zs0a//vqrevXqpdOnT9v7vPbaa5o5c6bmzJmj1NRUhYeH65577tGpU6fsfcaNG6fly5dryZIl2rhxowoLC9WvXz+H9WTi4uKUlpampKQkJSUlKS0tTfHx8S49X3g2NncFABMznHDXXXcZ+fn55Y7bbDbjrrvucuYlDcMwjNzcXEOSsX79esMwDKOsrMwIDw83Xn31VXufoqIiw2q1Gv/85z8NwzCMkydPGnXr1jWWLFli7/Pzzz8bPj4+RlJSkmEYhrF7925DkpGSkmLvs3nzZkOSsXfv3krVZrPZDEmGzWZz+vzg+TIzM43u3buXe2RlZbm7NACAEyr7+e3UCNG6detUUlJS7nhRUZG+++47p8OZzWaTJAUHB0uS0tPTlZOTo169etn7+Pv7q3v37kpOTpYkbd++XWfPnnXoExERoZiYGHufzZs3y2q1qnPnzvY+t99+u6xWq73PpYqLi1VQUODwgHkZ3GEGAF6tzrV0/uGHH+xf7969Wzk5OfbnpaWlSkpKcnpXcMMwlJCQoN/97neKiYmRJPvrh4WFOfQNCwuzrwmTk5MjPz8/XX/99eX6XPj+nJwchYaGlvuZoaGhDudwscTERE2bNs2pc0HtZBiGXnrppQrbXnrpJc2bN495RADgpa4pEN1yyy2yWCyyWCy6++67y7UHBgZq9uzZThUyatQo/fDDD9q4cWO5tks/hAzDuOoH06V9Kup/pdeZPHmyEhIS7M8LCgoUFRV1xZ+J2u3QoUNXXJjx0KFDatasmYurAgC4wjUFovT0dBmGod/+9rfaunWrGjVqZG/z8/NTaGiofH19r7mI0aNH64svvtCGDRsUGRlpPx4eHi7p3AhP48aN7cdzc3Pto0bh4eEqKSlRfn6+wyhRbm6uunbtau9z9OjRcj/32LFj5UafLvD395e/v/81nwtqryNHjly1nUAEAN7pmuYQRUdHq2nTpiorK1OHDh0UHR1tfzRu3Piaw5BhGBo1apSWLVumb7/9ttyHTbNmzRQeHq41a9bYj5WUlGj9+vX2sNO+fXvVrVvXoU92drZ27dpl79OlSxfZbDZt3brV3mfLli2y2Wz2PsCFAO5sOwCg9rqmEaKL7d+/X+vWrVNubq7Kysoc2qZMmVKp13jmmWe0ePFi/fvf/1aDBg3s83msVqsCAwNlsVg0btw4TZ8+Xc2bN1fz5s01ffp01atXT3Fxcfa+w4YN04QJE9SwYUMFBwdr4sSJio2NVc+ePSVJrVq1Up8+fTR8+HDNmzdPkvTkk0+qX79+atmypbN/BPAylRkhuvHGG11UDQDAlZwKRO+++66efvpphYSEKDw8vNxcncoGonfeeUeSdOeddzoc/+CDDzR06FBJ0qRJk3TmzBmNHDlS+fn56ty5s1avXq0GDRrY+7/55puqU6eOBg0apDNnzqhHjx5asGCBw4jVokWLNGbMGPvdaAMGDNCcOXOcOX14qWPHjlWpHQBQe1kMJ+4njo6O1siRI/Xcc8/VRE0eqaCgQFarVTabTUFBQe4uBzXg4MGDeuKJJy7b/v777+u3v/2tCysCAFRVZT+/nVqHKD8/Xw899JDTxQGeqFmzZpddNiIyMpIJ1QDgxZwKRA899JBWr15d3bUAbndhUdBLXbrOFQDAuzg1h+imm27S3/72N6WkpCg2NlZ169Z1aB8zZky1FAe4UkZGhnbu3Flh286dO5WRkcF+ZgDgpZyaQ3SlSwcWi0UHDx6sUlGeiDlE3s8wDE2aNEnbt293uHPSx8dHHTp00IwZM1ipGgBqmcp+fjs1QpSenu50YYCnslgsGjt2rIYMGeJw3MfHR2PHjiUMAYAXc2oOEeCtIiMj7WtcXRAXF+f0Hn0AgNrBqRGiK92aLJ27PRmorf74xz9q0aJFKisrk4+PjwYOHOjukgAANcypQJSfn+/w/OzZs9q1a5dOnjxZ4aavQG3y2Wef2ecQlZWVadmyZVf9TwAAoHZzKhAtX7683LGysjKNHDmShetQq2VlZWnRokUOxxYtWqRevXo5bDwMAPAu1TaHyMfHR+PHj9ebb75ZXS8JuJRhGJo1a1a5vflKS0s1a9YsOXFDJgCglqjWSdU//fSTfv311+p8ScBlMjIylJqaWmFbamqqMjIyXFwRAMBVnLpklpCQ4PDcMAxlZ2dr5cqV5W5ZBmqLyMhI+fj4lBshks6NgHLJDAC8l1OBaMeOHQ7PfXx81KhRI73xxhtMPkWtlZKSUmEYks7NkUtJSVG3bt1cXBUAwBWcCkRr166t7joAt7vaHCHmEAGA93IqEF1w7Ngx7du3TxaLRS1atFCjRo2qqy7A5a62+CKLMwKA93JqUvXp06f1xBNPqHHjxrrjjjv0+9//XhERERo2bJh++eWX6q4RcImmTZuqRYsWFbbdfPPNatq0qWsLAgC4jFOBKCEhQevXr9eKFSt08uRJnTx5Uv/+97+1fv16TZgwobprBFzCYrHoySefrLBt+PDh7GUGAF7MqUD02Wef6b333lPfvn0VFBSkoKAg3XvvvXr33Xe1dOnS6q4RcAnDMLRw4cIK2xYsWMAcIgDwYk4Fol9++UVhYWHljoeGhnLJDLXW4cOHtXPnzgrbdu7cqcOHD7u4IgCAqzgViLp06aIXX3xRRUVF9mNnzpzRtGnT1KVLl2orDnAl7jIDAPNy6i6zWbNmqU+fPoqMjFS7du1ksViUlpamgIAAffXVV9VdIwAAQI1yKhDFxMTowIED+uijj7R3714ZhqGHH35Yjz76qAIDA6u7RsAlrjZpmknVAOC9nF6HKDAwUMOHD6/OWgC3ioqKkq+vr0pLS8u1+fr6Kioqyg1VAQBcwelA9PPPP2vTpk3Kzc0tt93BmDFjqlwY4Gpbt26tMAxJ53a837p1K3PkAMBLORWIPvjgA40YMUJ+fn5q2LChw6UEi8VCIEKt1KlTpyuOEHXq1MkNVQEAXMGpQDRlyhRNmTJFkydPlo+PUzeqAR4nKyvriiNEWVlZio6OdnFVAABXcHodoocffpgwBK8SFRWloKCgCtuCgoKYQwQAXsypRDNs2DD9v//3/6q7FsCtMjMzVVBQUGFbQUGBMjMzXVwRAMBVnLpklpiYqH79+ikpKUmxsbGqW7euQ/vMmTOrpTjAlS6MEFUUihghAgDv5lQgmj59ur766iu1bNlSkspNqgZqo8qMEDGHCAC8k1OBaObMmXr//fc1dOjQai4HcJ8mTZqoY8eOSk1NLdfWqVMnNWnSxA1VAQBcwak5RP7+/urWrVt11wK4lcVi0eDBgytsGzx4MKOfAODFnApEY8eO1ezZs6u7FsCtDMPQwoULK2xbsGABm7sCgBdz6pLZ1q1b9e233+o///mP2rRpU25S9bJly6qlOMCVDh8+rJ07d1bYtnPnTh0+fFhNmzZ1bVEAAJdwKhD95je/0cCBA6u7FgAAALdweusOwNtER0eradOmOnToULm2Zs2acYcZAHgxlpoGzjMMQ0eOHKmw7eeff2YOEQB4Mad3u1+6dKk+/fRTZWRkqKSkxKHt+++/r3JhgKtt2rSp3L/lC0pKSrRp0yb9/ve/d3FVAABXcGqE6K233tLjjz+u0NBQ7dixQ506dVLDhg118OBB9e3bt7prBFxi//79VWoHANReTgWiuXPnav78+ZozZ478/Pw0adIkrVmzRmPGjJHNZqvuGgGX+NOf/lSldgBA7eVUIMrIyFDXrl0lSYGBgTp16pQkKT4+Xh9//HH1VQe40M8//1yldgBA7eVUIAoPD1deXp6kc3fmpKSkSJLS09OZeIpa62r/dvm3DQDey6lAdPfdd2vFihWSpGHDhmn8+PG65557NHjwYD3wwAPVWiAAAEBNc+ous/nz56usrEySNGLECAUHB2vjxo3q37+/RowYUa0FAgAA1DSnApGPj498fP7/waVBgwZp0KBB5fqNHDlSL730kkJCQpyvEHCRCyHf2XYAQO1VowszfvTRRyooKKjJHwFUmx9++KFK7QCA2qtGAxGTUFGbtG3btkrtAIDay61bd2zYsEH9+/dXRESELBaLPv/8c4f2oUOHymKxODxuv/12hz7FxcUaPXq0QkJCdN1112nAgAHKyspy6JOfn6/4+HhZrVZZrVbFx8fr5MmTNXx2qG0uvgzsTDsAoPZy62/406dPq127dpozZ85l+/Tp00fZ2dn2x5dffunQPm7cOC1fvlxLlizRxo0bVVhYqH79+qm0tNTeJy4uTmlpaUpKSlJSUpLS0tIUHx9fY+cFAABqF6f3MqsOffv2vepWH/7+/goPD6+wzWaz6b333tOHH36onj17Sjo3bykqKkpff/21evfurT179igpKUkpKSnq3LmzJOndd99Vly5dtG/fPrVs2bJ6TwoAANQ6Hn8NYN26dQoNDVWLFi00fPhw5ebm2tu2b9+us2fPqlevXvZjERERiomJUXJysiRp8+bNslqt9jAkSbfffrusVqu9T0WKi4tVUFDg8AAAAN6pRgPRY489pqCgIKe/v2/fvlq0aJG+/fZbvfHGG0pNTdXdd9+t4uJiSVJOTo78/Px0/fXXO3xfWFiYcnJy7H1CQ0PLvXZoaKi9T0USExPtc46sVquioqKcPg/UDtx2DwDm5fQls6KiIv3www/Kzc0t90ExYMAASdI777xTpeIGDx5s/zomJkYdOnRQdHS0Vq5cqYEDB172+wzDkMVisT+/+OvL9bnU5MmTlZCQYH9eUFBAKPJyaWlpV22/8cYbXVMMAMClnApESUlJ+tOf/qTjx4+Xa7NYLA4TmqtT48aNFR0drQMHDkg6t6daSUmJ8vPzHUaJcnNz7ZvPhoeH6+jRo+Ve69ixYwoLC7vsz/L395e/v381nwEAAPBETl0yGzVqlB566CFlZ2errKzM4VFTYUiS8vLylJmZqcaNG0uS2rdvr7p162rNmjX2PtnZ2dq1a5c9EHXp0kU2m01bt26199myZYtsNpu9DyDpigG5Mu0AgNrLqRGi3NxcJSQkVPkDorCwUP/3f/9nf56enq60tDQFBwcrODhYU6dO1R//+Ec1btxYhw4d0l//+leFhITYN5C1Wq0aNmyYJkyYoIYNGyo4OFgTJ05UbGys/a6zVq1aqU+fPho+fLjmzZsnSXryySfVr18/7jCDg0vXuLrWdgBA7eXUCNGDDz6odevWVfmHb9u2TbfeeqtuvfVWSVJCQoJuvfVWTZkyRb6+vtq5c6f+8Ic/qEWLFhoyZIhatGihzZs3q0GDBvbXePPNN3X//fdr0KBB6tatm+rVq6cVK1bI19fX3mfRokWKjY1Vr1691KtXL7Vt21YffvhhleuHd0lJSalSOwCg9rIYTuyv8csvv+ihhx5So0aNFBsbq7p16zq0jxkzptoK9BQFBQWyWq2y2WxVunMOnmvZsmV66623Lts+ZsyYK07mBwB4nsp+fjt1yWzx4sX66quvFBgYqHXr1pW7o8sbAxG8X0xMTJXaAQC1l1OXzF544QW99NJLstlsOnTokNLT0+2PgwcPVneNgEv8+9//rlI7AKD2cioQlZSUaPDgwWx2Ca9y8dw0Z9oBALWXU4lmyJAh+uSTT6q7FsCtmjdvXqV2AEDt5dQcotLSUr322mv66quv1LZt23KTqmfOnFktxQGudLU7J9etW6cePXq4phgANebBBx/U8ePHFRISoqVLl7q7HHgIpwLRzp077bfK79q1y6HtStthAJ7s119/rVI7AM+3a9cu+y4Lx48f165du7hhApKcDERr166t7joAt7tamCfsA7Xf6NGjyz3nMw1SDe92D9QmBCLAu73++uu6dOk9wzD0+uuvu6kieJJKjxANHDhQCxYsUFBQ0FUXp1u2bFmVCwNcrW3bttq0adMV2wHUTiUlJVq5cmWFbStXrtTYsWPl5+fn4qrgSSo9QmS1Wu3/Q7ZarVd8ALXR1ZaRYJkJoPZKTEysUju8X6VHiD744IMKvwa8xYWJls62A/BckydPvuJcocmTJ7uwGngi/ssLnFdQUFCldgCey8/PT5GRkRW2RUVFcbkMzt1lJklLly7Vp59+qoyMDJWUlDi0ff/991UuDHC1q13u5XIwUHuVlJQoKyurwrbMzEyVlJQQikzOqRGit956S48//rhCQ0O1Y8cOderUSQ0bNtTBgwfVt2/f6q4RcIng4OAqtQPwXMwhwtU4FYjmzp2r+fPna86cOfLz89OkSZO0Zs0ajRkzRjabrbprBFwiLy+vSu0APNfV5ggxhwhOBaKMjAx17dpVkhQYGKhTp05JkuLj4/Xxxx9XX3WACzGHCADMy6lAFB4ebv/fcnR0tFJSUiRJ6enp5Ra9AmoLFmYEvNfLL79cpXZ4P6cC0d13360VK1ZIkoYNG6bx48frnnvu0eDBg/XAAw9Ua4GAq1zt3y7/toHai//w4Gqcusts/vz5KisrkySNGDFCwcHB2rhxo/r3768RI0ZUa4GAqxw5cuSq7c2bN3dRNQCq0wsvvKBevXpdsR3m5lQg8vHxcVi1d9CgQRo0aFC1FQW4w4VLv1dq7969u4uqAQC4UqUD0Q8//FDpF2XPJ9RGP//8c5XaAXiuytx2/+KLL7qoGniiSgeiW265RRaL5aqTpi0Wi0pLS6tcGOBq7GUGeC+27sDVVDoQpaen12QdgNt17dpVaWlpV2wHUDv5+fnpvvvuq3DH+/79+7NKNSofiKKjo2uyDsDtGjVqVKV2AJ7t2Wef1ZdffulwpcNisWjChAlurAqewqlrAImJiXr//ffLHX///fc1Y8aMKhcFuMP27dur1A7A882ePfuKz2FeTgWiefPm6eabby53vE2bNvrnP/9Z5aIAd2jXrl2V2gF4vpiYGPuaQxaLRTExMW6uCJ7CqUCUk5Ojxo0blzveqFEjZWdnV7kowB2++uqrKrUD8Hy7du2yXzIzDEO7du1yc0XwFE4FoqioKG3atKnc8U2bNikiIqLKRQHucKVF2yrTDsDzjR49+orPYV5OBaI///nPGjdunD744AMdPnxYhw8f1vvvv6/x48dr+PDh1V0j4BKMEAHe7fXXXy+3dIxhGHr99dfdVBE8iVMrVU+aNEknTpzQyJEjVVJSIkkKCAjQc889x1oOqLWCg4Or1A7Ac5WUlFR4y70krVy5UmPHjuXWe5NzaoTIYrFoxowZOnbsmFJSUvTf//5XJ06c0JQpUxz6ZWVl2fc8Azydr69vldoBeK7KrFQNc6vS0rv169dXx44dFRMTI39//3LtrVu31qFDh6ryIwCXycnJqVI7AM91tasXXN1Aje5FcLVtPgBPUq9evSq1A/BcF1aqrggrVUOq4UAE1CaBgYFVagfg2Z599ln7GkQXsFI1LiAQAefl5eVVqR2A52OlalwOgQg4jxEiwPvFxMQoJCREkhQSEsJK1bBz6rb7yrp0aBLwZIWFhVVqB1A7LF261N0lwAMxqRo478KaWs62AwBqrxoNRLt371Z0dHRN/gig2rC5KwCYV6UvmQ0cOLDSL7ps2TJJ5/Y8A2qLU6dOVakdAFB7VToQWa3WmqwDcLsbbrihSu0AgNqr0oHogw8+qMk6ALdbu3btVdsfe+wxF1UDAHAlbrsHzmvTpk2V2gHUDg8++KDuvPNOPfjgg+4uBR7E6dvuly5dqk8//VQZGRnl7r75/vvvq1wY4Grbt2+vUjsAz7dr1y4dP35cknT8+HHt2rWLtYggyckRorfeekuPP/64QkNDtWPHDnXq1EkNGzbUwYMH1bdv3+quEXCJ66+/vkrtADzfqFGjrvgc5uVUIJo7d67mz5+vOXPmyM/PT5MmTdKaNWs0ZswY2Wy26q4RcImr3TjAjQVA7fb6669f03GYi1OBKCMjQ127dpV0bjuDC7cjx8fH6+OPP66+6gAXuvvuu6vUDsBzlZSUaOXKlRW2rVy5koVX4VwgCg8Pt290GR0drZSUFElSenr6Na1OvWHDBvXv318RERGyWCz6/PPPHdoNw9DUqVMVERGhwMBA3Xnnnfrxxx8d+hQXF2v06NEKCQnRddddpwEDBigrK8uhT35+vuLj42W1WmW1WhUfH6+TJ09e+4nDq23btq1K7QA815QpU6rUDu/nVCC6++67tWLFCknSsGHDNH78eN1zzz0aPHiwHnjggUq/zunTp9WuXTvNmTOnwvbXXntNM2fO1Jw5c5Samqrw8HDdc889DgvkjRs3TsuXL9eSJUu0ceNGFRYWql+/fiotLbX3iYuLU1pampKSkpSUlKS0tDTFx8c7c+rwYvv3769SOwDPxfsbV2MxnNhwrKysTGVlZapT59xNap9++qk2btyom266SSNGjJCfn9+1F2KxaPny5br//vslnRsdioiI0Lhx4/Tcc89JOjcaFBYWphkzZuipp56SzWZTo0aN9OGHH2rw4MGSpCNHjigqKkpffvmlevfurT179qh169ZKSUlR586dJUkpKSnq0qWL9u7dq5YtW1aqvoKCAlmtVtlsNgUFBV3z+cHzPfzww8rJyblse3h4uJYsWeLCigBUlxMnTlxxx4Vly5YpODjYhRXBVSr7+e3UbfdZWVkO23IMGjRIgwYNkmEYyszMVJMmTZx5WQfp6enKyclRr1697Mf8/f3VvXt3JScn66mnntL27dt19uxZhz4RERGKiYlRcnKyevfurc2bN8tqtdrDkCTdfvvtslqtSk5OvmwgKi4uVnFxsf15QUFBlc/J2xmGoaKiIneX4bTg4OArBqLg4GCdOXPGhRVVn4CAAFksFneXAbjN7Nmzr9r+4osvuqgaeCKnAlGzZs2UnZ2t0NBQh+MnTpxQs2bNHC5XOevCB1NYWJjD8bCwMB0+fNjex8/Pr9zt0GFhYfbvz8nJKVenJIWGhl7xwy8xMVHTpk2r0jmYTVFRkVcvu7B79+5ae36rVq1SYGCgu8sA3Gby5MlXXI1+8uTJLqwGnsipOUSGYVT4v83CwkIFBARUuaiLXfpzLvezr9Snov5Xe53JkyfLZrPZH5mZmddYOQDAU/j5+em+++6rsK1///5OTfWAd7mmEaKEhARJ5wLG3/72N9WrV8/eVlpaqi1btuiWW26plsLCw8MlnRvhady4sf14bm6ufdQoPDxcJSUlys/Pdxglys3NtS8LEB4erqNHj5Z7/WPHjpUbfbqYv7+//P39q+VczCIgIECrVq1ydxlVMn36dH333Xfljnfv3l1/+ctf3FBR9aju/6gA3qSsrMzdJcADXFMg2rFjh6Rzoys7d+50SNR+fn5q166dJk6cWC2FNWvWTOHh4VqzZo1uvfVWSefWkVi/fr1mzJghSWrfvr3q1q2rNWvWaNCgQZKk7Oxs7dq1S6+99pokqUuXLrLZbNq6das6deokSdqyZYtsNps9NKF6WCyWWn9Z5uWXX9add95Z7jiXT4Ha7WrrEI0dO5ZRIpO7pkB04frr448/rlmzZlX5bqvCwkL93//9n/15enq60tLSFBwcrCZNmmjcuHGaPn26mjdvrubNm2v69OmqV6+e4uLiJJ1bOXjYsGGaMGGCGjZsqODgYE2cOFGxsbHq2bOnJKlVq1bq06ePhg8frnnz5kmSnnzySfXr16/Sd5jBXBITEx3mE8ycOdON1QCoDomJiVdtZ1K1uTl12/3FsrKyZLFYdMMNN1zz965bt0533XVXueNDhgzRggULZBiGpk2bpnnz5ik/P1+dO3fW22+/7bARX1FRkZ599lktXrxYZ86cUY8ePTR37lyHu+BOnDihMWPG6IsvvpAkDRgwQHPmzNFvfvObStfKbffmcebMGfvk6QYNGtjX3AJQe5WUlDjckXyp1atXM0LkpSr7+e30OkSvvPKK3njjDRUWFko698ExYcIEPf/88/LxcWqutkcjEJnHxYGIu7MA7/H6669XeNmsf//+mjBhghsqgivU6DpEzz//vN577z29+uqr6tatmwzD0KZNmzR16lQVFRXp73//u9OFAwBQE5599tkKAxFhCJKTgWjhwoX617/+pQEDBtiPtWvXTjfccINGjhxJIAIAALWKU9e2Tpw4oZtvvrnc8ZtvvlknTpyoclEAAFS3119//ZqOw1ycCkSX25B1zpw5ateuXZWLAgCgOl3ttvuSkhIXVwRP49Qls9dee0333Xefvv76a3Xp0kUWi0XJycnKzMzUl19+Wd01AgDcrLbvVXi12+5feeWVWrt9B3sVVg+n9zLbv3+/3n77be3du1eGYWjgwIEaOXKkfv311+quEQDgZt6+V+GGDRu0YcMGd5fhFO6GrR5V2tz10snTeXl5ioqKqpbNXQEAAFzFqUB0uaWLamJzVwCA+3nDXoWSdO+99zp8hlksllo/1YPP3erh9OauU6ZMqdHNXQEAnsMb9iqUpP/5n/9xWHdo9uzZXnFeqDqP3dwVAIDq1rp1a/vXISEhDltBwdzcurkrAADu8uGHH7q7BHgQp+YQffDBB9VdBwAAgNt43y6sAAAA14hABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATI9ABAAATK+OuwvAOYZhqKioyN1lQHL4e+DvxHMEBATIYrG4uwyn8P72HLy/PZMnvL8thmEYbq2gligoKJDVapXNZlNQUFC1v/6ZM2fUt2/fan9dwFusWrVKgYGB7i7DKby/gSuryfd3ZT+/uWQGAABMj0tmHqjwlkdk+PBX4zaGIZX9eu5rnzpSLb1M4w0sZb+qftrH7i6jWs353Qn5+zIw7y6GIZWUnfvaz4e3tzsVl1o0amOwu8uw8/hP3alTp2ratGkOx8LCwpSTkyPp3LX5adOmaf78+crPz1fnzp319ttvq02bNvb+xcXFmjhxoj7++GOdOXNGPXr00Ny5cxUZGenSc6ksw6eO5FvX3WWYnJ+7C4Akb4wN/r6G/H3dXYW5Bbi7AJznWe/wWnHJrE2bNsrOzrY/du7caW977bXXNHPmTM2ZM0epqakKDw/XPffco1OnTtn7jBs3TsuXL9eSJUu0ceNGFRYWql+/fiotLXXH6QAAAA/j8SNEklSnTh2Fh4eXO24Yhv7xj3/o+eef18CBAyVJCxcuVFhYmBYvXqynnnpKNptN7733nj788EP17NlTkvTRRx8pKipKX3/9tXr37u3ScwEAAJ6nVowQHThwQBEREWrWrJkefvhhHTx4UJKUnp6unJwc9erVy97X399f3bt3V3JysiRp+/btOnv2rEOfiIgIxcTE2PtUpLi4WAUFBQ4PAADgnTw+EHXu3Fn/+7//q6+++krvvvuucnJy1LVrV+Xl5dnnEYWFhTl8z8VzjHJycuTn56frr7/+sn0qkpiYKKvVan9ERUVV85kBAABP4fGBqG/fvvrjH/+o2NhY9ezZUytXrpR07tLYBZcu5mQYxlUXeLpan8mTJ8tms9kfmZmZVTgLAADgyTw+EF3quuuuU2xsrA4cOGCfV3TpSE9ubq591Cg8PFwlJSXKz8+/bJ+K+Pv7KygoyOEBAAC8U60LRMXFxdqzZ48aN26sZs2aKTw8XGvWrLG3l5SUaP369erataskqX379qpbt65Dn+zsbO3atcveBwAAmJvH32U2ceJE9e/fX02aNFFubq5eeeUVFRQUaMiQIbJYLBo3bpymT5+u5s2bq3nz5po+fbrq1aunuLg4SZLVatWwYcM0YcIENWzYUMHBwZo4caL9EhwAAIDHB6KsrCw98sgjOn78uBo1aqTbb79dKSkpio6OliRNmjRJZ86c0ciRI+0LM65evVoNGjSwv8abb76pOnXqaNCgQfaFGRcsWCBfX1ZHAwAAtSAQLVmy5IrtFotFU6dO1dSpUy/bJyAgQLNnz9bs2bOruToAAOANat0cIgAAgOrm8SNEAOBNitkxCJDkee8FAhEAuNCojQ3dXQKACnDJDAAAmB4jRADgQnN+lyd/bnAFVFzqWSOmBCJPVHrW3RUAnsEL3wv+viIQAR6IQOSBGvz3yksNAACA6sUcIgAAYHqMEHmgU+0elnzrursMwP1KzzJiCsAlCESeyLcugQgAABfikhkAADA9AhEAADA9LpkBgAsVl1okGe4uw7QMQyopO/e1n49ksbi3HjM7917wHAQiAHChURuD3V0CgApwyQwAAJgeI0QAUMMCAgK0atUqd5cBSUVFRXrggQckScuXL1dAQICbK4Ikj/h7IBABQA2zWCwKDAx0dxm4REBAAH8vsOOSGQAAMD0CEQAAMD0CEQAAMD3mEHkgS9mvrFLiToYhlf167mufOixU4kaWC38PAFDDCEQeqH7ax+4uAQAAU+GSGQAAMD1GiDwE65R4DtYp8Uz8PQCoSQQiD8E6JZ6JdUoAwBy4ZAYAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEyPQAQAAEzPVIFo7ty5atasmQICAtS+fXt999137i4JAAB4gDruLsBVPvnkE40bN05z585Vt27dNG/ePPXt21e7d+9WkyZN3F0eAHg0wzBUVFTk7jKq7OJz8IbzkaSAgABZLBZ3l1HrWQzDMNxdhCt07txZt912m9555x37sVatWun+++9XYmLiVb+/oKBAVqtVNptNQUFBNVlqreVNvzAfeOABSdLy5csVEBDg5oqqjl+YqKozZ86ob9++7i4DFVi1apUCAwPdXYbHquzntylGiEpKSrR9+3b95S9/cTjeq1cvJScnV/g9xcXFKi4utj8vKCio0Rq9QVFRkdf9wrwQjGo7fmECwJWZIhAdP35cpaWlCgsLczgeFhamnJycCr8nMTFR06ZNc0V5AODxAgICtGrVKneXUWWGYdj/s+vv7+8VI6feMIrtCUwRiC649B++YRiXfTNMnjxZCQkJ9ucFBQWKioqq0fpqO35hei5+YaKqLBaL14wy1qtXz90lwAOZIhCFhITI19e33GhQbm5uuVGjC/z9/eXv7++K8rwGvzABALWVKW679/PzU/v27bVmzRqH42vWrFHXrl3dVBUAAPAUphghkqSEhATFx8erQ4cO6tKli+bPn6+MjAyNGDHC3aUBAAA3M00gGjx4sPLy8vTSSy8pOztbMTEx+vLLLxUdHe3u0gAAgJuZZh2iqmIdIgAAap/Kfn6bYg4RAADAlRCIAACA6RGIAACA6RGIAACA6RGIAACA6RGIAACA6RGIAACA6RGIAACA6RGIAACA6Zlm646qurCgd0FBgZsrAQAAlXXhc/tqG3MQiCrp1KlTkqSoqCg3VwIAAK7VqVOnZLVaL9vOXmaVVFZWpiNHjqhBgwayWCzuLgc1rKCgQFFRUcrMzGTvOsDL8P42F8MwdOrUKUVERMjH5/IzhRghqiQfHx9FRka6uwy4WFBQEL8wAS/F+9s8rjQydAGTqgEAgOkRiAAAgOkRiIAK+Pv768UXX5S/v7+7SwFQzXh/oyJMqgYAAKbHCBEAADA9AhEAADA9AhEAADA9AhEAADA9AhFMa+jQobJYLHr11Vcdjn/++eesRg7UQoZhqGfPnurdu3e5trlz58pqtSojI8MNlaE2IBDB1AICAjRjxgzl5+e7uxQAVWSxWPTBBx9oy5Ytmjdvnv14enq6nnvuOc2aNUtNmjRxY4XwZAQimFrPnj0VHh6uxMTEy/b57LPP1KZNG/n7+6tp06Z64403XFghgGsRFRWlWbNmaeLEiUpPT5dhGBo2bJh69OihTp066d5771X9+vUVFham+Ph4HT9+3P69S5cuVWxsrAIDA9WwYUP17NlTp0+fduPZwJUIRDA1X19fTZ8+XbNnz1ZWVla59u3bt2vQoEF6+OGHtXPnTk2dOlV/+9vftGDBAtcXC6BShgwZoh49eujxxx/XnDlztGvXLs2aNUvdu3fXLbfcom3btikpKUlHjx7VoEGDJEnZ2dl65JFH9MQTT2jPnj1at26dBg4cKJbqMw8WZoRpDR06VCdPntTnn3+uLl26qHXr1nrvvff0+eef64EHHpBhGHr00Ud17NgxrV692v59kyZN0sqVK/Xjjz+6sXoAV5Kbm6uYmBjl5eVp6dKl2rFjh7Zs2aKvvvrK3icrK0tRUVHat2+fCgsL1b59ex06dEjR0dFurBzuwggRIGnGjBlauHChdu/e7XB8z5496tatm8Oxbt266cCBAyotLXVliQCuQWhoqJ588km1atVKDzzwgLZv3661a9eqfv369sfNN98sSfrpp5/Url079ejRQ7GxsXrooYf07rvvMrfQZAhEgKQ77rhDvXv31l//+leH44ZhlLvjjEFVoHaoU6eO6tSpI0kqKytT//79lZaW5vA4cOCA7rjjDvn6+mrNmjVatWqVWrdurdmzZ6tly5ZKT09381nAVeq4uwDAU7z66qu65ZZb1KJFC/ux1q1ba+PGjQ79kpOT1aJFC/n6+rq6RABOuu222/TZZ5+padOm9pB0KYvFom7duqlbt26aMmWKoqOjtXz5ciUkJLi4WrgDI0TAebGxsXr00Uc1e/Zs+7EJEybom2++0csvv6z9+/dr4cKFmjNnjiZOnOjGSgFcq2eeeUYnTpzQI488oq1bt+rgwYNavXq1nnjiCZWWlmrLli2aPn26tm3bpoyMDC1btkzHjh1Tq1at3F06XIRABFzk5Zdfdrgkdtttt+nTTz/VkiVLFBMToylTpuill17S0KFD3VckgGsWERGhTZs2qbS0VL1791ZMTIzGjh0rq9UqHx8fBQUFacOGDbr33nvVokULvfDCC3rjjTfUt29fd5cOF+EuMwAAYHqMEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAEAANMjEAHwaCUlJe4uAYAJEIgAeJQ777xTo0aNUkJCgkJCQnTPPfdo9+7duvfee1W/fn2FhYUpPj5ex48ft3/P0qVLFRsbq8DAQDVs2FA9e/bU6dOnJUlDhw7V/fffr2nTpik0NFRBQUF66qmnHIJWcXGxxowZo9DQUAUEBOh3v/udUlNT7e3r1q2TxWLRN998ow4dOqhevXrq2rWr9u3bZ+/z3//+V3fddZcaNGigoKAgtW/fXtu2bbO3Jycn64477lBgYKCioqI0ZswYe40A3I9ABMDjLFy4UHXq1NGmTZv06quvqnv37rrlllu0bds2JSUl6ejRoxo0aJAkKTs7W4888oieeOIJ7dmzR+vWrdPAgQN18b7V33zzjfbs2aO1a9fq448/1vLlyzVt2jR7+6RJk/TZZ59p4cKF+v7773XTTTepd+/eOnHihENdzz//vN544w1t27ZNderU0RNPPGFve/TRRxUZGanU1FRt375df/nLX1S3bl1J0s6dO9W7d28NHDhQP/zwgz755BNt3LhRo0aNqsk/RgDXwgAAD9K9e3fjlltusT//29/+ZvTq1cuhT2ZmpiHJ2Ldvn7F9+3ZDknHo0KEKX2/IkCFGcHCwcfr0afuxd955x6hfv75RWlpqFBYWGnXr1jUWLVpkby8pKTEiIiKM1157zTAMw1i7dq0hyfj666/tfVauXGlIMs6cOWMYhmE0aNDAWLBgQYU1xMfHG08++aTDse+++87w8fGxfz8A92KECIDH6dChg/3r7du3a+3atapfv779cfPNN0uSfvrpJ7Vr1049evRQbGysHnroIb377rvKz893eL127dqpXr169uddunRRYWGhMjMz9dNPP+ns2bPq1q2bvb1u3brq1KmT9uzZ4/A6bdu2tX/duHFjSVJubq4kKSEhQX/+85/Vs2dPvfrqq/rpp58czmHBggUO59C7d2+VlZUpPT29qn9cAKoBgQiAx7nuuuvsX5eVlal///5KS0tzeBw4cEB33HGHfH19tWbNGq1atUqtW7fW7Nmz1bJly0oFDYvFYr+0ZrFYHNoMwyh37MIlsIv7l5WVSZKmTp2qH3/8Uffdd5++/fZbtW7dWsuXL7f3eeqppxzq/+9//6sDBw7oxhtvdOJPCEB1IxAB8Gi33XabfvzxRzVt2lQ33XSTw+NCcLJYLOrWrZumTZumHTt2yM/Pzx5GpHMTns+cOWN/npKSovr16ysyMlI33XST/Pz8tHHjRnv72bNntW3bNrVq1eqaam3RooXGjx+v1atXa+DAgfrggw8czuHS+i/8bADuRyAC4NGeeeYZnThxQo888oi2bt2qgwcPavXq1XriiSdUWlqqLVu2aPr06dq2bZsyMjK0bNkyHTt2zCHMlJSUaNiwYdq9e7dWrVqlF198UaNGjZKPj4+uu+46Pf3003r22WeVlJSk3bt3a/jw4frll180bNiwStV45swZjRo1SuvWrdPhw4e1adMmpaam2mt47rnntHnzZj3zzDP20a0vvvhCo0ePrpE/MwDXro67CwCAK4mIiNCmTZv03HPPqXfv3iouLlZ0dLT69OkjHx8fBQUFacOGDfrHP/6hgoICRUdH64033lDfvn3tr9GjRw81b95cd9xxh4qLi/Xwww9r6tSp9vZXX31VZWVlio+P16lTp9ShQwd99dVXuv766ytVo6+vr/Ly8vSnP/1JR48eVUhIiAYOHGi/k61t27Zav369nn/+ef3+97+XYRi68cYbNXjw4Gr9swLgPIthXHRvKgB4maFDh+rkyZP6/PPP3V0KAA/GJTMAAGB6BCIAAGB6XDIDAACmxwgRAAAwPQIRAAAwPQIRAAAwPQIRAAAwPQIRAAAwPQIRAAAwPQIRAAAwPQIRAAAwvf8PTrhB8CtVrPIAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show a plot of the response rate by the total claim amount.\n",
+    "\n",
+    "sns.boxplot(data=df, y='total_claim_amount', x='response')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='response', ylabel='income'>"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show a plot of the response rate by income.\n",
+    "\n",
+    "# sns.barplot(data=df, y='income', x='response')\n",
+    "\n",
+    "\n",
+    "#plt.hist(df['response'])\n",
+    "\n",
+    "sns.boxplot(data=df, y='income', x='response')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(9134, 24)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customer_lifetime_value</th>\n",
+       "      <th>income</th>\n",
+       "      <th>monthly_premium_auto</th>\n",
+       "      <th>months_since_last_claim</th>\n",
+       "      <th>months_since_policy_inception</th>\n",
+       "      <th>number_of_open_complaints</th>\n",
+       "      <th>number_of_policies</th>\n",
+       "      <th>total_claim_amount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2763.519279</td>\n",
+       "      <td>56274</td>\n",
+       "      <td>69</td>\n",
+       "      <td>32</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>384.811147</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>6979.535903</td>\n",
+       "      <td>0</td>\n",
+       "      <td>94</td>\n",
+       "      <td>13</td>\n",
+       "      <td>42</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1131.464935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>12887.431650</td>\n",
+       "      <td>48767</td>\n",
+       "      <td>108</td>\n",
+       "      <td>18</td>\n",
+       "      <td>38</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>566.472247</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>7645.861827</td>\n",
+       "      <td>0</td>\n",
+       "      <td>106</td>\n",
+       "      <td>18</td>\n",
+       "      <td>65</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>529.881344</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2813.692575</td>\n",
+       "      <td>43836</td>\n",
+       "      <td>73</td>\n",
+       "      <td>12</td>\n",
+       "      <td>44</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>138.130879</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9129</th>\n",
+       "      <td>23405.987980</td>\n",
+       "      <td>71941</td>\n",
+       "      <td>73</td>\n",
+       "      <td>18</td>\n",
+       "      <td>89</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>198.234764</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9130</th>\n",
+       "      <td>3096.511217</td>\n",
+       "      <td>21604</td>\n",
+       "      <td>79</td>\n",
+       "      <td>14</td>\n",
+       "      <td>28</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>379.200000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9131</th>\n",
+       "      <td>8163.890428</td>\n",
+       "      <td>0</td>\n",
+       "      <td>85</td>\n",
+       "      <td>9</td>\n",
+       "      <td>37</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>790.784983</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9132</th>\n",
+       "      <td>7524.442436</td>\n",
+       "      <td>21941</td>\n",
+       "      <td>96</td>\n",
+       "      <td>34</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>691.200000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9133</th>\n",
+       "      <td>2611.836866</td>\n",
+       "      <td>0</td>\n",
+       "      <td>77</td>\n",
+       "      <td>3</td>\n",
+       "      <td>90</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>369.600000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>9134 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      customer_lifetime_value  income  monthly_premium_auto  \\\n",
+       "0                 2763.519279   56274                    69   \n",
+       "1                 6979.535903       0                    94   \n",
+       "2                12887.431650   48767                   108   \n",
+       "3                 7645.861827       0                   106   \n",
+       "4                 2813.692575   43836                    73   \n",
+       "...                       ...     ...                   ...   \n",
+       "9129             23405.987980   71941                    73   \n",
+       "9130              3096.511217   21604                    79   \n",
+       "9131              8163.890428       0                    85   \n",
+       "9132              7524.442436   21941                    96   \n",
+       "9133              2611.836866       0                    77   \n",
+       "\n",
+       "      months_since_last_claim  months_since_policy_inception  \\\n",
+       "0                          32                              5   \n",
+       "1                          13                             42   \n",
+       "2                          18                             38   \n",
+       "3                          18                             65   \n",
+       "4                          12                             44   \n",
+       "...                       ...                            ...   \n",
+       "9129                       18                             89   \n",
+       "9130                       14                             28   \n",
+       "9131                        9                             37   \n",
+       "9132                       34                              3   \n",
+       "9133                        3                             90   \n",
+       "\n",
+       "      number_of_open_complaints  number_of_policies  total_claim_amount  \n",
+       "0                             0                   1          384.811147  \n",
+       "1                             0                   8         1131.464935  \n",
+       "2                             0                   2          566.472247  \n",
+       "3                             0                   7          529.881344  \n",
+       "4                             0                   1          138.130879  \n",
+       "...                         ...                 ...                 ...  \n",
+       "9129                          0                   2          198.234764  \n",
+       "9130                          0                   1          379.200000  \n",
+       "9131                          3                   2          790.784983  \n",
+       "9132                          0                   3          691.200000  \n",
+       "9133                          0                   1          369.600000  \n",
+       "\n",
+       "[9134 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "categorical_columns = df.select_dtypes(include=['object']).columns.tolist()\n",
+    "numerical_columns = df.select_dtypes(exclude=['object']).columns.tolist()\n",
+    "numerical = df.drop(categorical_columns, axis=1)\n",
+    "categorical = df.drop(numerical_columns, axis=1)\n",
+    "numerical"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customer</th>\n",
+       "      <th>state</th>\n",
+       "      <th>response</th>\n",
+       "      <th>coverage</th>\n",
+       "      <th>education</th>\n",
+       "      <th>effective_to_date</th>\n",
+       "      <th>employmentstatus</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>location_code</th>\n",
+       "      <th>marital_status</th>\n",
+       "      <th>policy_type</th>\n",
+       "      <th>policy</th>\n",
+       "      <th>renew_offer_type</th>\n",
+       "      <th>sales_channel</th>\n",
+       "      <th>vehicle_class</th>\n",
+       "      <th>vehicle_size</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>BU79786</td>\n",
+       "      <td>Washington</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/24/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Suburban</td>\n",
+       "      <td>Married</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L3</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>QZ44356</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>1/31/11</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Suburban</td>\n",
+       "      <td>Single</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L3</td>\n",
+       "      <td>Offer3</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>AI49188</td>\n",
+       "      <td>Nevada</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Premium</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/19/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Suburban</td>\n",
+       "      <td>Married</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L3</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>WW63253</td>\n",
+       "      <td>California</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>1/20/11</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>Suburban</td>\n",
+       "      <td>Married</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L2</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Call Center</td>\n",
+       "      <td>SUV</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>HB64268</td>\n",
+       "      <td>Washington</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/3/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>Rural</td>\n",
+       "      <td>Single</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L1</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9129</th>\n",
+       "      <td>LA72316</td>\n",
+       "      <td>California</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/10/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>Urban</td>\n",
+       "      <td>Married</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L1</td>\n",
+       "      <td>Offer2</td>\n",
+       "      <td>Web</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9130</th>\n",
+       "      <td>PK87824</td>\n",
+       "      <td>California</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2/12/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Suburban</td>\n",
+       "      <td>Divorced</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L3</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9131</th>\n",
+       "      <td>TD14365</td>\n",
+       "      <td>California</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2/6/11</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>Suburban</td>\n",
+       "      <td>Single</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L2</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9132</th>\n",
+       "      <td>UP19263</td>\n",
+       "      <td>California</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2/3/11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>Suburban</td>\n",
+       "      <td>Married</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L2</td>\n",
+       "      <td>Offer3</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Large</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9133</th>\n",
+       "      <td>Y167826</td>\n",
+       "      <td>California</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2/14/11</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>Suburban</td>\n",
+       "      <td>Single</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L3</td>\n",
+       "      <td>Offer4</td>\n",
+       "      <td>Call Center</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>9134 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer       state response  coverage education effective_to_date  \\\n",
+       "0     BU79786  Washington       No     Basic  Bachelor           2/24/11   \n",
+       "1     QZ44356     Arizona       No  Extended  Bachelor           1/31/11   \n",
+       "2     AI49188      Nevada       No   Premium  Bachelor           2/19/11   \n",
+       "3     WW63253  California       No     Basic  Bachelor           1/20/11   \n",
+       "4     HB64268  Washington       No     Basic  Bachelor            2/3/11   \n",
+       "...       ...         ...      ...       ...       ...               ...   \n",
+       "9129  LA72316  California       No     Basic  Bachelor           2/10/11   \n",
+       "9130  PK87824  California      Yes  Extended   College           2/12/11   \n",
+       "9131  TD14365  California       No  Extended  Bachelor            2/6/11   \n",
+       "9132  UP19263  California       No  Extended   College            2/3/11   \n",
+       "9133  Y167826  California       No  Extended   College           2/14/11   \n",
+       "\n",
+       "     employmentstatus gender location_code marital_status     policy_type  \\\n",
+       "0            Employed      F      Suburban        Married  Corporate Auto   \n",
+       "1          Unemployed      F      Suburban         Single   Personal Auto   \n",
+       "2            Employed      F      Suburban        Married   Personal Auto   \n",
+       "3          Unemployed      M      Suburban        Married  Corporate Auto   \n",
+       "4            Employed      M         Rural         Single   Personal Auto   \n",
+       "...               ...    ...           ...            ...             ...   \n",
+       "9129         Employed      M         Urban        Married   Personal Auto   \n",
+       "9130         Employed      F      Suburban       Divorced  Corporate Auto   \n",
+       "9131       Unemployed      M      Suburban         Single  Corporate Auto   \n",
+       "9132         Employed      M      Suburban        Married   Personal Auto   \n",
+       "9133       Unemployed      M      Suburban         Single  Corporate Auto   \n",
+       "\n",
+       "            policy renew_offer_type sales_channel  vehicle_class vehicle_size  \n",
+       "0     Corporate L3           Offer1         Agent   Two-Door Car      Medsize  \n",
+       "1      Personal L3           Offer3         Agent  Four-Door Car      Medsize  \n",
+       "2      Personal L3           Offer1         Agent   Two-Door Car      Medsize  \n",
+       "3     Corporate L2           Offer1   Call Center            SUV      Medsize  \n",
+       "4      Personal L1           Offer1         Agent  Four-Door Car      Medsize  \n",
+       "...            ...              ...           ...            ...          ...  \n",
+       "9129   Personal L1           Offer2           Web  Four-Door Car      Medsize  \n",
+       "9130  Corporate L3           Offer1        Branch  Four-Door Car      Medsize  \n",
+       "9131  Corporate L2           Offer1        Branch  Four-Door Car      Medsize  \n",
+       "9132   Personal L2           Offer3        Branch  Four-Door Car        Large  \n",
+       "9133  Corporate L3           Offer4   Call Center   Two-Door Car      Medsize  \n",
+       "\n",
+       "[9134 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "categorical"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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7O9P3Y48WERG1NwxaZDZzLxtqMWgREVF7w6BFZmtq0OKlQyIiam8YtMhs5j5+R4s9WkRE1N4waJHZzJ3aQYtBi4iI2hsGLTJbc8doFRQAVVUt2yYiIiJrxKBFZjP38TtanTpJdykKARQWtny7iIiIrA2DFplFCOkxOgDg5mbevh06cEA8ERG1LwxaZJbKSqC6Wnrt4mL+/hynRURE7QmDFpnl5k1pbWcHKJXm78+gRURE7QmDFplFG7RcXKRH8JhLe+nw0qUWaxIREZHVYtAis9y6Ja2bctkQYI8WERG1LwxaZBZtj1bHjk3bn0GLiIjaE9mD1qZNmxAQEAAnJyeEhITgwIEDjZbPzMxESEgInJyc0Lt3b2zZssWgTHJyMoKCgqBUKhEUFISUlBSz692zZw+ioqLg5eUFhUKB48ePGxyjoqICc+fOhZeXF1xcXPDoo4/itzaeIOpeOmwKBi0iImpPZA1aSUlJiIuLw2uvvYbs7GwMHToUY8eORV5entHyubm5GDduHIYOHYrs7GwsXrwY8+bNQ3Jysq6MWq1GdHQ0YmJikJOTg5iYGEyZMgWHDx82q96bN29i8ODBWLlyZYPtj4uLQ0pKCnbv3o2DBw/ixo0bmDBhAmpqalrg7Fin5gYt7Rity5eBNnyaiIiIAAAKIYSQq/KwsDAMGjQImzdv1m0LDAzEpEmTkJiYaFA+ISEBqampOHv2rG5bbGwscnJyoFarAQDR0dHQaDTYu3evrsyYMWPg4eGBXbt2mV3vhQsXEBAQgOzsbAwYMEC3vaysDF27dsUHH3yA6OhoAMDly5fh5+eHtLQ0REVFmXQONBoN3N3dUVZWBjdzJ6ZqBVu36v+cnAykpwOjRgFPPCFtmzWr8X3qqq0F5syRQlZ+PuDr27LtJSIiag2m/v2WrUersrISWVlZiIyM1NseGRmJQ4cOGd1HrVYblI+KisLRo0dR9eczXRoqoz1mU+o1JisrC1VVVXrH8fX1RXBwcKPHqaiogEaj0VtsSXMHw3foAPj4SK95+ZCIiNo62YJWcXExampq4O3trbfd29sbhQ08n6WwsNBo+erqahQXFzdaRnvMptTbUFscHR3hUe+Bf3c6TmJiItzd3XWLn5+fyXVag+ZeOgQA7Udm0CIiorZO9sHwinqTMQkhDLbdqXz97aYc09x6TXWn4yxatAhlZWW65ZKNTSjV3LsOAaBHD2nNoEVERG2dbEHLy8sLdnZ2Br0/RUVFBr1NWiqVymh5e3t7eHp6NlpGe8ym1NtQWyorK1FaWmrWcZRKJdzc3PQWW9ISPVoMWkRE1F7IFrQcHR0REhKCjIwMve0ZGRmIiIgwuk94eLhB+fT0dISGhsLBwaHRMtpjNqVeY0JCQuDg4KB3nIKCApw6dcqs49gaBi0iIiLT2ctZeXx8PGJiYhAaGorw8HBs3boVeXl5iI2NBSBdZsvPz8fOnTsBSHcYbtiwAfHx8Zg5cybUajW2bdumu5sQAObPn49hw4Zh1apVmDhxIj777DPs27cPBw8eNLleALh69Sry8vJw+fJlAMC5c+cASD1ZKpUK7u7umDFjBl566SV4enqiS5cuePnll3Hfffdh1KhRFj93cmHQIiIiMp2sQSs6OholJSVYsWIFCgoKEBwcjLS0NPTs2ROA1ENUd26rgIAApKWlYcGCBdi4cSN8fX2xfv16TJ48WVcmIiICu3fvxpIlS7B06VL06dMHSUlJCAsLM7leAEhNTcVzzz2n+/nJJ58EACxbtgzLly8HAKxduxb29vaYMmUKysvLMXLkSOzYsQN2dnYWOV9yq6wE/ry5k0GLiIjIBLLOo0W2NY/WtWtAQoI0RcOmTbcfKm3OPFoAMGYM0LMn4OgIlJdLxyMiIrIlVj+PFtmeunccNucGTR8faf/KSuDPWTmIiIjaJAYtMllLjM8CAAcHQKWSXvPyIRERtWUMWmQy7azwzZlDS4vjtIiIqD1g0CKTtVSPFnA7aNnYfK1ERERmYdAik1kiaLFHi4iI2jJZp3cg29JQ0LrTXYbGMGgREVF7wB4tMhnHaBEREZmHQYtMxkuHRERE5mHQIpNZKmhxylwiImqrGLTIZC0ZtHx9pfUffwBXrzb/eERERNaIQYtM1pJBy8kJ6NpVes3Lh0RE1FYxaJHJ6j6CpyX4+Unrixdb5nhERETWhkGLTFJdDVRUSK9bokcLAPr2ldY//9wyxyMiIrI2DFpkEu3UDgpFy/Vo9esnrRm0iIiorWLQIpNoLxs6OwMdWui35q67pDWDFhERtVUMWmQSbY+Ws3PLHVPbo/XTTy13TCIiImvCoEUm+eMPaW2JoPXbb7eDHBERUVvCoEUm0QYtpbLljunpCXTuLL0+f77ljktERGQtGLTIJJbo0VIoOCCeiIjaNgYtMol2aoeW7NECOCCeiIjaNgYtMkl5ubR2cmrZ43JAPBERtWUMWmQS7aVDSwUt9mgREVFbxKBFJtFeOmTQIiIiMl2TglZubm5Lt4OsnKV7tAoLgevXW/bYREREcrNvyk59+/bFsGHDMGPGDPzXf/0XnFr6ry9ZHUsFrc6dAS8voLhY6tUaNEjavnWrfrlZs1q2XiIiotbQpB6tnJwcDBw4EC+99BJUKhVmz56NH374oaXbRlbEUkEL4J2HRETUdjUpaAUHB2PNmjXIz8/H9u3bUVhYiCFDhuDee+/FmjVrcOXKlZZuJ8nMkkGLdx4SEVFb1azB8Pb29njsscfwr3/9C6tWrcL58+fx8ssvo0ePHnj22WdRUFDQUu0kmVkyaN17r7TOyWn5YxMREcmpWUHr6NGjePHFF+Hj44M1a9bg5Zdfxvnz57F//37k5+dj4sSJLdVOkpklg1ZoqLQ+cqTlj01ERCSnJg2GX7NmDbZv345z585h3Lhx2LlzJ8aNG4cOHaTcFhAQgHfffRf33HNPizaW5GPJoBUSIj2OJy8PKCoCunVr+TqIiIjk0KQerc2bN2Pq1KnIy8vDp59+igkTJuhClpa/vz+2bdvWIo0kedXWWm4eLQBwcwPuvlt6ffRoyx+fiIhILk3q0crIyIC/v79BuBJC4NKlS/D394ejoyOmTZvWIo0keVVW3n5tqZk8QkOBH3+ULh+OG2eZOoiIiFpbk3q0+vTpg+LiYoPtV69eRUBAQLMbRdZF+5xDhQJwcLBMHQ88IK05TouIiNqSJgUtIYTR7Tdu3ODkpW2Q9rKhs7MUtixBG7SOHgUa+PUiIiKyOWZdOoyPjwcAKBQKvP766+jYsaPuvZqaGhw+fBgDBgxo0QaS/LQD4ZVKy9UxYABgbw/8/jvw22+Wq4eIiKg1mRW0srOzAUg9WidPnoSjo6PuPUdHR/Tv3x8vv/xyy7aQZGfJOw61nJ2B4GDg+HFePiQiorbDrEuH33zzDb755htMmzYNe/fu1f38zTff4KuvvsK7776Lftppvk20adMmBAQEwMnJCSEhIThw4ECj5TMzMxESEgInJyf07t0bW7ZsMSiTnJyMoKAgKJVKBAUFISUlxex6hRBYvnw5fH194ezsjBEjRuD06dN6ZQoLCxETEwOVSgUXFxcMGjQIn3zyiVmf3xa0RtACOJ8WERG1PU0ao7V9+3a4ubk1u/KkpCTExcXhtddeQ3Z2NoYOHYqxY8ciLy/PaPnc3FyMGzcOQ4cORXZ2NhYvXox58+YhOTlZV0atViM6OhoxMTHIyclBTEwMpkyZgsOHD5tV7+rVq7FmzRps2LABR44cgUqlwujRo3H9+nVdmZiYGJw7dw6pqak4efIkHn/8cURHR+t6/tqK1gpaHBBPRERtjUI0NLK9nscffxw7duyAm5sbHn/88UbL7tmzx6TKw8LCMGjQIGzevFm3LTAwEJMmTUJiYqJB+YSEBKSmpuLs2bO6bbGxscjJyYFarQYAREdHQ6PRYO/evboyY8aMgYeHB3bt2mVSvUII+Pr6Ii4uDgkJCQCAiooKeHt7Y9WqVZg9ezYAoFOnTti8eTNiYmJ0x/H09MTq1asxY8YMk86BRqOBu7s7ysrKWiS8trStW4FvvwV27QIGDgRiY5t/zFmzjG/PyZHGarm6AqtXA3VnD2loHyIiIjmY+vfb5B4td3d3KP685czd3b3RxRSVlZXIyspCZGSk3vbIyEgcOnTI6D5qtdqgfFRUFI4ePYqqqqpGy2iPaUq9ubm5KCws1CujVCoxfPhwvbYNGTIESUlJuHr1Kmpra7F7925UVFRgxIgRJp0DW9FaPVrBwdLkpdevA/n5lq2LiIioNZg8GH779u1GXzdVcXExampq4O3trbfd29sbhYWFRvcpLCw0Wr66uhrFxcXw8fFpsIz2mKbUq10bK3Px4kXdz0lJSYiOjoanpyfs7e3RsWNHpKSkoE+fPg1+7oqKClRo50uAlIitXWsFLTs7IDwc+Oor4JdfAD8/y9ZHRERkaU0ao1VeXo5bt27pfr548SLWrVuH9PR0s4+lqDcxkxDCYNudytffbsoxW6LMkiVLUFpain379uHo0aOIj4/HE088gZMnTzbY/sTERL3ePz8bSBOtFbQAYPBgaX3+vOXrIiIisrQmBa2JEydi586dAIBr167hwQcfxDvvvIOJEyfqjXtqjJeXF+zs7Ax6r4qKigx6krRUKpXR8vb29vD09Gy0jPaYptSrUqkAoNEy58+fx4YNG/D+++9j5MiR6N+/P5YtW4bQ0FBs3Lixwc+9aNEilJWV6ZZLly41WNZatGbQGjJEWv/yi+XrIiIisrQmBa1jx45h6NChAIBPPvkEKpUKFy9exM6dO7F+/XqTjuHo6IiQkBBkZGTobc/IyEBERITRfcLDww3Kp6enIzQ0FA5/PhumoTLaY5pSb0BAAFQqlV6ZyspKZGZm6spoe/TqP+/Rzs4OtbW1DX5upVIJNzc3vcXaWXrC0q1bby+nTkmD4EtLgatXLVMfERFRa2nSQ6Vv3boFV1dXAFKIefzxx9GhQwc89NBDemOY7iQ+Ph4xMTEIDQ1FeHg4tm7diry8PMT+eWvbokWLkJ+fr+s9i42NxYYNGxAfH4+ZM2dCrVZj27ZtursJAWD+/PkYNmwYVq1ahYkTJ+Kzzz7Dvn37cPDgQZPrVSgUiIuLw9tvv41+/fqhX79+ePvtt9GxY0dMnToVAHDPPfegb9++mD17Nv7+97/D09MTn376KTIyMvDFF1805bRaLW3Qcna2fF1KJeDvD1y4IPVqPfig5eskIiKylCYFrb59++LTTz/FY489hq+++goLFiwAIF1aM6eHJjo6GiUlJVixYgUKCgoQHByMtLQ09OzZEwBQUFCgN7dVQEAA0tLSsGDBAmzcuBG+vr5Yv349Jk+erCsTERGB3bt3Y8mSJVi6dCn69OmDpKQkhIWFmVwvALz66qsoLy/Hiy++iNLSUoSFhSE9PV0XMB0cHJCWloaFCxfiL3/5C27cuIG+ffvin//8J8aNG9eU02q1WvPSIQD06cOgRUREbYPJ82jV9cknn2Dq1KmoqanByJEjdYPgExMT8d133+nNYUWNs4V5tN54A7h8GYiLAwIDm3/M+nNibd2q//OxY8C77wI9egBLlxrfh4iISE6m/v1uUo/Wf/3Xf2HIkCEoKChA//79ddtHjhyJxx57rCmHJCtWXi6tW7NHC5Dm0iovb51LlkRERJbQpKAFSHfmae/O03qQ13naJO20X60VeNzdAQ8PaUB8fj7Qt2/r1EtERNTSmhS0bt68iZUrV+Lrr79GUVGRwV12v/76a4s0juQnhOXvOjSmRw8paF26xKBFRES2q0lB6/nnn0dmZiZiYmLg4+PT6ASjZNuqqgBtjm6tS4eAFLROngR++6316iQiImppTQpae/fuxb///W8M1k7jTW2WtjcLaP0eLeB20Ko/YJ6D44mIyBY0acJSDw8PdOnSpaXbQlao7mXDDk36bWkabdDKz7/do0ZERGRrmvSn880338Trr7+u97xDaptaew4trW7dAAcH6dJlUVHr1k1ERNRSmnTp8J133sH58+fh7e2NXr166R5/o3Xs2LEWaRzJT66g1aED0L27NHHpb78B9W5wJSIisglNClqTJk1q4WaQtZLjjkOtHj1uB63Q0Navn4iIqLmaFLSWLVvW0u0gK9Wazzmsr/6AeCIiIlvT5OHN165dwz/+8Q8sWrQIV69eBSBdMszPz2+xxpH85Lp0CAB+ftKaQYuIiGxVk3q0Tpw4gVGjRsHd3R0XLlzAzJkz0aVLF6SkpODixYvYuXNnS7eTZKKdFV6OS4fdu0vr0lLg5k3AxaX120BERNQcTerRio+Px/Tp0/Hzzz/DqU5Xx9ixY/Hdd9+1WONIfnL2aDk7A56e0mv2ahERkS1qUtA6cuQIZs+ebbC9e/fuKCwsbHajyHrI2aMFAL6+0pq/VkREZIuaFLScnJyg0WgMtp87dw5du3ZtdqPIesgdtLS/TsXF8tRPRETUHE0KWhMnTsSKFStQVVUFAFAoFMjLy8PChQsxefLkFm0gyctagtaVK/LUT0RE1BxNClp///vfceXKFXTr1g3l5eUYPnw4+vbtC1dXV/ztb39r6TaSjOQOWl5e0po9WkREZIuadNehm5sbDh48iG+++QZZWVmora3FoEGDMGrUqJZuH8lM7qBVt0dLCEChkKcdRERETWF20KqtrcWOHTuwZ88eXLhwAQqFAgEBAVCpVBBCQMG/hG2KNmjJcdchcPuuwz/+kKZ46NRJnnYQERE1hVmXDoUQePTRR/H8888jPz8f9913H+69915cvHgR06dPx2OPPWapdpJM5O7RcnQEOneWXnOcFhER2RqzerR27NiB7777Dl9//TUefvhhvff279+PSZMmYefOnXj22WdbtJEkH23QcnSUrw1eXsC1a9I4rYAA+dpBRERkLrN6tHbt2oXFixcbhCwAeOSRR7Bw4UJ89NFHLdY4kp/clw4B3nlIRES2y6ygdeLECYwZM6bB98eOHYucnJxmN4qsh9yXDgHeeUhERLbLrKB19epVeHt7N/i+t7c3SktLm90osg41NUBlpfTaGoIWe7SIiMjWmBW0ampqYG/f8LAuOzs7VFdXN7tRZB1u3br9Ws6gxdnhiYjIVpk1GF4IgenTp0PZwF/dCu11JmoTbtyQ1goF4OAgXzu0Qau0FKiqkrctRERE5jAraE2bNu2OZXjHYduhDVpKpbwThbq6Sm2oqACuXgUauXpNRERkVcwKWtu3b7dUO8gK1Q1aclIopHFa+fnSOC0GLSIishVNetYhtQ83b0pruYMWwAHxRERkmxi0qEHW0qMFMGgREZFtYtCiBllj0OLsIUREZEsYtKhB1hS0tM87ZNAiIiJbwqBFDbKmoOXhIa2vXZO1GURERGYx665Dal8sNRh+61bz96kbtGpqWrQ5REREFsMeLWqQNfVoubkBHToAQgAajdytISIiMg2DFjVIG7ScnORtByCFLI7TIiIiW8OgRQ3SBi1HR3nboaW9fMigRUREtkL2oLVp0yYEBATAyckJISEhOHDgQKPlMzMzERISAicnJ/Tu3RtbtmwxKJOcnIygoCAolUoEBQUhJSXF7HqFEFi+fDl8fX3h7OyMESNG4PTp0wbHUavVeOSRR+Di4oLOnTtjxIgRKC8vN/MsWCdrunQIsEeLiIhsj6xBKykpCXFxcXjttdeQnZ2NoUOHYuzYscjLyzNaPjc3F+PGjcPQoUORnZ2NxYsXY968eUhOTtaVUavViI6ORkxMDHJychATE4MpU6bg8OHDZtW7evVqrFmzBhs2bMCRI0egUqkwevRoXL9+Xa+uMWPGIDIyEj/88AOOHDmCOXPmoEMH2fNri9AOhreGS4cA7zwkIiLboxBCCLkqDwsLw6BBg7B582bdtsDAQEyaNAmJiYkG5RMSEpCamoqzZ8/qtsXGxiInJwdqtRoAEB0dDY1Gg7179+rKjBkzBh4eHti1a5dJ9Qoh4Ovri7i4OCQkJAAAKioq4O3tjVWrVmH27NkAgIceegijR4/Gm2++2eRzoNFo4O7ujrKyMri5uTX5OJbwyCPAN98Azz8PPPCA3K0B9u0DPv4YCA0FjhyRuzVERNSemfr3W7aul8rKSmRlZSEyMlJve2RkJA4dOmR0H7VabVA+KioKR48eRVVVVaNltMc0pd7c3FwUFhbqlVEqlRg+fLiuTFFREQ4fPoxu3bohIiIC3t7eGD58OA4ePGjuqbBa1nbpkGO0iIjI1sgWtIqLi1FTUwNvb2+97d7e3igsLDS6T2FhodHy1dXVKC4ubrSM9pim1KtdN1bm119/BQAsX74cM2fOxJdffolBgwZh5MiR+Pnnnxv83BUVFdBoNHqLtWLQIiIiah7ZBxMpFAq9n4UQBtvuVL7+dlOO2dwytbW1AIDZs2fjueeew8CBA7F27VrcfffdeP/99xtsf2JiItzd3XWLn59fg2XlZq1Bi5OWEhGRrZAtaHl5ecHOzs6g96qoqMigJ0lLpVIZLW9vbw9PT89Gy2iPaUq9KpUKABot4+PjAwAICgrSKxMYGNjgYH4AWLRoEcrKynTLpUuXGiwrN0vNDN9Ubm6AQgHU1gJFRXK3hoiI6M5kC1qOjo4ICQlBRkaG3vaMjAxEREQY3Sc8PNygfHp6OkJDQ+Hg4NBoGe0xTak3ICAAKpVKr0xlZSUyMzN1ZXr16gVfX1+cO3dO7zg//fQTevbs2eDnViqVcHNz01uslbX1aNnZAe7u0uvffpO3LURERKaQ9VmH8fHxiImJQWhoKMLDw7F161bk5eUhNjYWgNT7k5+fj507dwKQ7jDcsGED4uPjMXPmTKjVamzbtk13NyEAzJ8/H8OGDcOqVaswceJEfPbZZ9i3b5/eIPU71atQKBAXF4e3334b/fr1Q79+/fD222+jY8eOmDp1qq7MK6+8gmXLlqF///4YMGAA/vnPf+LHH3/EJ5980lqn0GIqK6UFsJ6gBUiXD69dk4KWNdwJSURE1BhZg1Z0dDRKSkqwYsUKFBQUIDg4GGlpaboeoYKCAr3LcAEBAUhLS8OCBQuwceNG+Pr6Yv369Zg8ebKuTEREBHbv3o0lS5Zg6dKl6NOnD5KSkhAWFmZyvQDw6quvory8HC+++CJKS0sRFhaG9PR0uLq66srExcXhjz/+wIIFC3D16lX0798fGRkZ6NOnjyVPW6vQXjYErC9o5eYCVnzFlYiISEfWebTIeufRunQJ8PeXLtdt2iR3a27717+Ar78GXnkFWL1a7tYQEVF7ZfXzaJF1s7bxWVraOw85RouIiGwBgxYZZW13HGppn3fIoEVERLaAQYuM0vZoWctzDrXYo0VERLaEQYuMsvZLh/n50nxaRERE1oxBi4zSBi1HR3nbUV/nztKkpZWVwJ9PXSIiIrJaDFpklLX2aNnZSTPEA5zigYiIrB+DFhmlHQxvbWO0AI7TIiIi28GgRUZZa48WwDsPiYjIdjBokVHWHLTYo0VERLaCQYuMstbB8ACDFhER2Q4GLTLKWufRAhi0iIjIdjBokVHWOjM8wKBFRES2g0GLjLKVMVp8JDoREVkzBi0y6vp1aW2NQcvdXVr/8QdQUiJvW4iIiBrDoEVGaYOWNY7RcnAAunWTXvPyIRERWTMGLTLKmi8dAkCPHtKaQYuIiKwZgxYZZc09WgCDFhER2QYGLTLK2oOWn5+0ZtAiIiJrxqBFBqqrgfJy6bW1Bi32aBERkS1g0CID2jm0AOsfo3XpkrztICIiagyDFhnQXja0t5cWa8QeLSIisgUMWmRAG7RcXQGFQt62NKRu0OKkpUREZK0YtMhA3aBlrbp3l9a3bgHXrsnaFCIiogYxaJEB7Rxa1hy0nJ0BT0/pNS8fEhGRtWLQIgPaHq1OneRtx51wigciIrJ2DFpkwBYuHQK885CIiKwfgxYZsLWgxR4tIiKyVgxaZIBBi4iIqGUwaJEB7WB4ax+jxaBFRETWjkGLDLBHi4iIqGUwaJEBWwlavOuQiIisHYMWGbCVoKWdtPT6dUCjkbctRERExjBokQFbmLAUAFxcAA8P6TWneCAiImvEoEUGbGXCUoDjtIiIyLoxaJEBW7l0CDBoERGRdWPQIgMMWkRERC2DQYsM2MoYLYB3HhIRkXWTPWht2rQJAQEBcHJyQkhICA4cONBo+czMTISEhMDJyQm9e/fGli1bDMokJycjKCgISqUSQUFBSElJMbteIQSWL18OX19fODs7Y8SIETh9+rTRNgkhMHbsWCgUCnz66aemf3grxTFaRERELUPWoJWUlIS4uDi89tpryM7OxtChQzF27Fjk5eUZLZ+bm4tx48Zh6NChyM7OxuLFizFv3jwkJyfryqjVakRHRyMmJgY5OTmIiYnBlClTcPjwYbPqXb16NdasWYMNGzbgyJEjUKlUGD16NK5rU0gd69atg0KhaMEzI5+aGuDWLem1LfRoMWgREZE1UwghhFyVh4WFYdCgQdi8ebNuW2BgICZNmoTExESD8gkJCUhNTcXZs2d122JjY5GTkwO1Wg0AiI6Ohkajwd69e3VlxowZAw8PD+zatcukeoUQ8PX1RVxcHBISEgAAFRUV8Pb2xqpVqzB79mzdfjk5OZgwYQKOHDkCHx8fpKSkYNKkSSafA41GA3d3d5SVlcHNzc3k/SylrAzo3Fl6XV4O7Nwpa3MaNGuWtD57FggKAtzdgWvXZG0SERG1I6b+/ZatR6uyshJZWVmIjIzU2x4ZGYlDhw4Z3UetVhuUj4qKwtGjR1FVVdVoGe0xTak3NzcXhYWFemWUSiWGDx+u17Zbt27hqaeewoYNG6BSqUz63BUVFdBoNHqLNdGOz7K3B5RKedtiCm2PVlnZ7UueRERE1kK2oFVcXIyamhp4e3vrbff29kZhYaHRfQoLC42Wr66uRnFxcaNltMc0pV7t+k5tW7BgASIiIjBx4kSTPjMAJCYmwt3dXbf4aUdzW4m6dxzawtVQV1dA+w+J/Hx520JERFSf7IPh649tEkI0Ot7JWPn62005ZnPLpKamYv/+/Vi3bl2DbTVm0aJFKCsr0y2XrGxKc1saCK/FcVpERGStZAtaXl5esLOzM+i9KioqMuhJ0lKpVEbL29vbw9PTs9Ey2mOaUq/2MmBjZfbv34/z58+jc+fOsLe3h729PQBg8uTJGDFiRIOfW6lUws3NTW+xJrY0h5aWtlPQyjIrERGRfEHL0dERISEhyMjI0NuekZGBiIgIo/uEh4cblE9PT0doaCgcHBwaLaM9pin1BgQEQKVS6ZWprKxEZmamrszChQtx4sQJHD9+XLcAwNq1a7F9+3ZzToVVsaU5tLR69ZLWv/4qazOIiIgM2MtZeXx8PGJiYhAaGorw8HBs3boVeXl5iI2NBSBdZsvPz8fOP299i42NxYYNGxAfH4+ZM2dCrVZj27ZtursJAWD+/PkYNmwYVq1ahYkTJ+Kzzz7Dvn37cPDgQZPrVSgUiIuLw9tvv41+/fqhX79+ePvtt9GxY0dMnToVgNTrZWwAvL+/PwICAix2zizNFnu0+vWT1j//LG87iIiI6pM1aEVHR6OkpAQrVqxAQUEBgoODkZaWhp49ewIACgoK9Oa2CggIQFpaGhYsWICNGzfC19cX69evx+TJk3VlIiIisHv3bixZsgRLly5Fnz59kJSUhLCwMJPrBYBXX30V5eXlePHFF1FaWoqwsDCkp6fD1ZYSSBPYYtDq21da//KLvO0gIiKqT9Z5tMj65tH6f/8PePVVICZGmkNr61a5W2Scdh4tADh9GggOlubSKi21jbsliYjItln9PFpknWyxR6t3b2ldVgaUlMjbFiIioroYtEiPLQ6Gd3a+fechx2kREZE1YdAiPbbYowVwnBYREVknBi3SY4sTlgIMWkREZJ0YtEgPe7SIiIhajqzTO5D1sZUxWvXvhtQGLY7RIiIia8IeLdJjqz1a2klL2aNFRETWhEGL9Nhq0NJO8VBaCly9Km9biIiItBi0SI+tDoZ3cQF8faXXvHxIRETWgkGL9NjKGC1jOCCeiIisDYMW6dTUADdvSq9tMWhxnBYREVkbBi3SKSu7/bpzZ9ma0WTaHq2ffpK3HURERFoMWqRTWiqtXVwABwd529IU994rrU+ckLcdREREWgxapHPtmrT28JC1GU02cKC0PnsWKC+Xty1EREQAgxbVoe3RssXLhgDQvTvg5SWNNTt1Su7WEBERMWhRHdqgZas9WgrF7V6t7Gx520JERAQwaFEd2kuHttqjBTBoERGRdWHQIh1b79ECbget48dlbQYREREABi2qw9YHwwO3g9aJE9JYLSIiIjkxaJGOrQ+GB6RJS11cgFu3OJ8WERHJj0GLdNrCpcMOHYD+/aXXHKdFRERyY9AinbYwGB7ggHgiIrIe9nI3gKyHLfdobd16+7VGI60ZtIiISG7s0SIdWw5adfn7S+usLA6IJyIieTFokU5buXTYvTvg7i59nqwsuVtDRETtGYMWAQCEaDs9WnZ2wKhR0uuvvpK3LURE1L4xaBEAaTqE6mrpta33aAFAVJS0ZtAiIiI5MWgRgNu9Wfb20jxUtk4btP7zn9uXRImIiFobgxYB0L9sqFDI25aW4O8P3HOPNBj+66/lbg0REbVXDFoEoO0MhK+Llw+JiEhuDFoEoO0MhK+rbtASQt62EBFR+8SgRQDaZo/W8OGAUgnk5QEnT8rdGiIiao8YtAhA2+zR6tgRGD9eer15s7xtISKi9olBiwC0zaAFAHPmSOudO3n3IRERtT4GLQLQNi8dAsCIEUBwsDRP2PbtcreGiIjaGwYtAtB2e7QUCmDuXOn1hg189iEREbUu2YPWpk2bEBAQACcnJ4SEhODAgQONls/MzERISAicnJzQu3dvbNmyxaBMcnIygoKCoFQqERQUhJSUFLPrFUJg+fLl8PX1hbOzM0aMGIHTp0/r3r969Srmzp2Lu+++Gx07doS/vz/mzZuHsrKyJp4JeWmDVlvr0QKAp5+WPtevvwKpqXK3hoiI2hNZg1ZSUhLi4uLw2muvITs7G0OHDsXYsWORl5dntHxubi7GjRuHoUOHIjs7G4sXL8a8efOQnJysK6NWqxEdHY2YmBjk5OQgJiYGU6ZMweHDh82qd/Xq1VizZg02bNiAI0eOQKVSYfTo0bh+/ToA4PLly7h8+TL+/ve/4+TJk9ixYwe+/PJLzJgxw0Jny7K0lw7bWo8WIM10HxsrvZ4/H9Bo5G0PERG1Hwoh5JthKCwsDIMGDcLmOreEBQYGYtKkSUhMTDQon5CQgNTUVJw9e1a3LTY2Fjk5OVCr1QCA6OhoaDQa7N27V1dmzJgx8PDwwK5du0yqVwgBX19fxMXFISEhAQBQUVEBb29vrFq1CrNnzzb6eT7++GM888wzuHnzJuzt7U06BxqNBu7u7igrK4Obm5tJ+1jCffcBp04BGRm3H8gMAFu3ytakFlVRAaxbJ/VqzZzZdj4XERHJw9S/37L1aFVWViIrKwuRkZF62yMjI3Ho0CGj+6jVaoPyUVFROHr0KKqqqhotoz2mKfXm5uaisLBQr4xSqcTw4cMbbBsA3ck2NWRZk7Y6GF5LqQTef196/d57nC2eiIhah2yJoLi4GDU1NfD29tbb7u3tjcLCQqP7FBYWGi1fXV2N4uJi+Pj4NFhGe0xT6tWujZW5ePGi0baVlJTgzTffbLC3S6uiogIVFRW6nzVWch2rrQ6Gr2v4cGlg/P/+L/Dkk9LUD35+t9+fNUu+thERUdsk+2B4Rb0nGAshDLbdqXz97aYcs6XKAFJYGj9+PIKCgrBs2bIG2w4AiYmJcHd31y1+df/Sy6SqCrh5U3rdVnu0tFauBAYPlnrw1q0DLl+Wu0VERNSWyRa0vLy8YGdnZ9B7VVRUZNCTpKVSqYyWt7e3h6enZ6NltMc0pV6VSgUAJrXt+vXrGDNmDDp16oSUlBQ4ODg0+rkXLVqEsrIy3XLp0qVGy7eGuhN5urvL1oxW0bEj8O9/AyEhwI0bwNq10iN6iIiILEG2oOXo6IiQkBBkZGTobc/IyEBERITRfcLDww3Kp6enIzQ0VBdwGiqjPaYp9QYEBEClUumVqaysRGZmpl7bNBoNIiMj4ejoiNTUVDg5Od3xcyuVSri5uektctNeNnR1BWxweJnJtm6VlqQkYOpUoEcP6Q7Ed94Bzp2Tu3VERNQWyXrpMD4+Hv/4xz/w/vvv4+zZs1iwYAHy8vIQ++e9+IsWLcKzzz6rKx8bG4uLFy8iPj4eZ8+exfvvv49t27bh5Zdf1pWZP38+0tPTsWrVKvz4449YtWoV9u3bh7i4OJPrVSgUiIuLw9tvv42UlBScOnUK06dPR8eOHTF16lQAUk9WZGQkbt68iW3btkGj0aCwsBCFhYWosbFZMdvD+Kz6OnUCXn4ZuOsu4I8/gPXrgS++kLtVRETU1sjafxEdHY2SkhKsWLECBQUFCA4ORlpaGnr27AkAKCgo0JvbKiAgAGlpaViwYAE2btwIX19frF+/HpMnT9aViYiIwO7du7FkyRIsXboUffr0QVJSEsLCwkyuFwBeffVVlJeX48UXX0RpaSnCwsKQnp4OV1dXAEBWVpZubq6+ffvqfa7c3Fz06tWrxc+XpZSUSOsuXeRtR2tzdgbmzQP+8Q/g+HFg0iRpQPyAAdL7HBxPRETNJes8WmQd82ht2wY8/zwwdiyQlqb/XnuYb6qmRjoHWVlAhw7S5Kb9+zNoERFRw6x+Hi2yHgUF0trXV952yMXODpgxA3jgAaC2Vppn69df5W4VERG1BQxapJvioL0GLUAKW889BwQHS9NdbNwI/Pyz3K0iIiJbx6BFDFp/srOTHs/j7y9N/TB+vP7UF0REROZi0CJd0PLxkbcd1sDJSZo9vksXqUdr6lRpDBcREVFTMGgRe7TqcXMDXnhBuitx715gyRK5W0RERLaKQaudq6kBtBPgM2jd5u8v3YkISI/tSUqStz1ERGSbGLTaueJiKWwpFEADTz5qt556CnjlFen1c89Jc20RERGZg0GrndNeNvT2btuP32mqxEQgKgooL5cmNC0ulrtFRERkSxi02jmOz2qcnR2waxfQty9w8SIwZYo0/QMREZEpGLTaOQatO/PwAD79VHo+4jffSM9IJCIiMgUvFrVzDFoNq//4oZgYYPNm6QHUpaXAzp3ytIuIiGwHe7TaOc6hZboBA4AJE6TXH34IpKbK2hwiIrIBDFrtXHt/zqG5JkwAIiIAIYDoaOD77+VuERERWTNeOmzneOnQPAoF8MwzwPXrwMmTQGSkNAWE9vzNmiVv+4iIyLqwR6udY9Ayn52dFKh69wZu3QL+53+Aq1flbhUREVkjBq12rLoa+P136TWDlnkcHYE5c6SxbdeuSWFLo5G7VUREZG0YtNqxoiKgtlbqoenaVe7W2B4XF2DePGn6h8JCYO1a4MoVuVtFRETWhEGrHdNeNlSppLBF5uvSBViwAOjcWTqfI0cybBER0W0MWu0Y7zhsGd7eQHw84O4uDZAfOhS4dEnuVhERkTVg0GrHOIdWy/H2Bl56CfDzA86dAwYPBn78Ue5WERGR3Bi02rH8fGnNoNUyvL2BgweBu+6SerQeegjYu1fuVhERkZwYtNqx06el9d13y9uOtsTfHzhwQJrUtKwMGD8eePNNPoiaiKi9YtBqx44fl9YDBsjZiranWzdg/35g5kxpBvnXXwcefBA4elTulhERUWtTCCGE3I1ozzQaDdzd3VFWVgY3N7dWq7esTLpTDgBKSqS754yp/2BlMp0QgLMzEBcnPYQaAMaNkwbOjxjBOz2JiGyZqX+/2aPVTp04Ia39/BoOWdQ8CgXw7LPA2bPA009LP6elAaNGSVNqxMQAmzZJlxp//12a04yIiNoWPuuwneJlw9ah7REcNgy45x5pSo0PPwSKi6X1hx/eLmtvD7i6Sj2N7u5Ap07SWK8uXQBPz9vrbt2kx/8olbJ8JCIiMgODVjuVkyOtGbRaT7duwJIlwLp1wKFDQEYGkJoq3f1ZWio9Eqm09PZlRkC6i9EYOzspbEVEAA8/DIwZI931SERE1oVBq51ij5Y86o558/eXnpcIADU10rMSr12Txs9duwbcvKm/3LoF3Lghvf/HH8DPP0vLP/8JdOgABAYCYWHA+vXS44GIiEh+DFrtUFUVcOqU9JpByzrY2UnPTPTwuHNZIaRQdumSFLTOnAHy8qTpOk6fBpKSgMcek8aFjRolXZIkIiJ58K5Dmclx1+GpU8B99wFubtJlqg6N3BLBuw5tw++/Az/8ABw+rP+sxa5dgehoYOpUaQJVhUK+NhIRtSWm/v3mv3XbIe1lw/vvbzxkke3w9gb+8hdgwgTpe/2//5N6tq5cATZskJbOnaUB+TNnSj2ZQUGAk5PxMD1rVmt/AiKitolBqx3i+Ky2S6EAwsOlZc0a4OuvgeXLpe/82jXgP/+RFkAK2XfdJY3n6tED6N5dWnO6DyKilsOg1Q5pZyhn0Gqb6vdQ/fd/S+Pyzp+X5vSqqJDmUSspuf3g66ys2+WdnKQesREjpDsaH3pI2kZERObjGC2ZtfYYrQsXpGkBhJAGUvft23h5jtFqe2bNkr7/ggLg5EnpO87Pl5aCAukOyLqcnICePaXLjoGB0uvYWHnaTkRkLThGi4x67z3pj+zIkXcOWdQ21Q/PUVG3X1dXA4WF0hMDvvlGWgoLgXPnpOWzz4COHaU5wEaNAoYMkcZ68XFCRETGsUdLZq3Zo1VZKf0BLSoCPvkEmDz5zvuwR6t9E0K6o/HHH6XLjufOAeXl+mXc3KS7WIODgT59pN8xLy9p5npHx9vrmhrpEmb9pbZWKvPll9KxOncGHBw4IJ+IrBt7tMhASooUsnx8gEcflbs1ZAsUCum5jCqVNGarpga4eFEaQP/tt9KUEhoN8P330tJSXFyk50D6+UmXuvv0kZbevaUZ9t3dOT8YEdkG2W/u37RpEwICAuDk5ISQkBAcOHCg0fKZmZkICQmBk5MTevfujS1bthiUSU5ORlBQEJRKJYKCgpCSkmJ2vUIILF++HL6+vnB2dsaIESNw+vRpvTIVFRWYO3cuvLy84OLigkcffRS//fZbE86C5Qkh/eECgOefl3oMiMylffSPt7c0P9fq1cDrrwMzZkiPAXrwQaBfP+kORm9v6dmMbm5ScNI+x1H7vEYfH+kuRz8/6bWn5+3fy5s3pcdEffGFNNP9/PnS1BVBQVJvmYODNHasSxfA11caNzZ4sHRJfPx44JlngJdeAv7f/wN27pQudRrrjSMisjRZ/02YlJSEuLg4bNq0CYMHD8a7776LsWPH4syZM/D39zcon5ubi3HjxmHmzJn48MMP8f333+PFF19E165dMfnP62BqtRrR0dF488038dhjjyElJQVTpkzBwYMHERYWZnK9q1evxpo1a7Bjxw7cddddeOuttzB69GicO3cOrq6uAIC4uDh8/vnn2L17Nzw9PfHSSy9hwoQJyMrKgp0VDVoRAoiPB777TvpDOXOm3C2itsLOTgpV3bu3zPGEkB41VFoqTUdRUiI9gPvKFem9X3+VetAA6e7Jiorb++blmVaHtzfQq5cUznr1ktru7n77Yd7u7lKQs7OTlg4dpJ696mrjS0qK1NNXWyutIyOlY3h63l4cHVvm/BCR7ZF1jFZYWBgGDRqEzZs367YFBgZi0qRJSExMNCifkJCA1NRUnD17VrctNjYWOTk5UKvVAIDo6GhoNBrs3btXV2bMmDHw8PDArl27TKpXCAFfX1/ExcUhISEBgNR75e3tjVWrVmH27NkoKytD165d8cEHHyA6OhoAcPnyZfj5+SEtLQ1RdUcYN8LSY7QuX5YeZLx9u/Tzpk3ACy+Yvj/HaJG10I7ZqqqSnvf47rtSKPvjD8NxXzduANevS6FMo5HKl5ToB7PW5OoqzdKvXby8br92dZXGqCmVUi9d3bV2fFtji709Z/wnkoPVj9GqrKxEVlYWFi5cqLc9MjIShw4dMrqPWq1GZGSk3raoqChs27YNVVVVcHBwgFqtxoIFCwzKrFu3zuR6c3NzUVhYqFeXUqnE8OHDcejQIcyePRtZWVmoqqrSK+Pr64vg4GAcOnTI5KBlKVu2SOHqhx+knzt0AN5/H5g2TdZmETVZ/dDftat5+2t7y0pK9JeyMumSYnm5FGzKyqSeqpoaKcTV1kr71u3h6tDh9uv62wDpWDduSPUJIYW+69elHrmWplDcDlzGFm37mnpcUxdAOld1FyH0f9ae1/q9gsa2abfX1Nw+t+Ys5uyj7bW0JEseX4jb57r+a+1aobj9e1p3qfv7a8p2hcI2g31kpHxzR8oWtIqLi1FTUwNvb2+97d7e3igsLDS6T2FhodHy1dXVKC4uho+PT4NltMc0pV7t2liZixcv6so4OjrCo95TgBtrPyD1jFXU+Wd1WVkZACkZt6QjR26HrAceAF55RbqN39xqOKaF2pIOHW73JLWG2loprN24IS03bwL9+0uXQ7WXRc+elXrhtOGi7mttAKm7rj/PmRCGl1GJSJ9SKY0vbUnav9t3ujAo+307inrRWAhhsO1O5etvN+WYLVWmvjuVSUxMxBtvvGGw3c/Pr9HjNseRI8CUKRY7PBERkVWLi5MWS7h+/Trc3d0bfF+2oOXl5QU7OzuD3p+ioiKDniQtlUpltLy9vT08PT0bLaM9pin1qlQqAFKvlY+PT4NlKisrUVpaqterVVRUhIiIiAY/96JFixAfH6/7uba2FlevXoWnp+cdQ1xL0mg08PPzw6VLl1plRnoyDb8X68Xvxjrxe7FO7eF7EULg+vXr8PX1bbScbEHL0dERISEhyMjIwGOPPabbnpGRgYkTJxrdJzw8HJ9//rnetvT0dISGhsLhz/vCw8PDkZGRoTdOKz09XRd+TKk3ICAAKpUKGRkZGDhwIABpbFdmZiZWrVoFAAgJCYGDgwMyMjIw5c/uooKCApw6dQqrV69u8HMrlUoolUq9bZ07d274RFmYm5tbm/2PwJbxe7Fe/G6sE78X69TWv5fGerJ0hIx2794tHBwcxLZt28SZM2dEXFyccHFxERcuXBBCCLFw4UIRExOjK//rr7+Kjh07igULFogzZ86Ibdu2CQcHB/HJJ5/oynz//ffCzs5OrFy5Upw9e1asXLlS2Nvbi//85z8m1yuEECtXrhTu7u5iz5494uTJk+Kpp54SPj4+QqPR6MrExsaKHj16iH379oljx46JRx55RPTv319UV1db8rS1iLKyMgFAlJWVyd0UqoPfi/Xid2Od+L1YJ34vt8katIQQYuPGjaJnz57C0dFRDBo0SGRmZuremzZtmhg+fLhe+W+//VYMHDhQODo6il69eonNmzcbHPPjjz8Wd999t3BwcBD33HOPSE5ONqteIYSora0Vy5YtEyqVSiiVSjFs2DBx8uRJvTLl5eVizpw5okuXLsLZ2VlMmDBB5OXlNeNstB7+R2Cd+L1YL3431onfi3Xi93Ibn3XYTlVUVCAxMRGLFi0yuJRJ8uH3Yr343Vgnfi/Wid/LbQxaRERERBYi+7MOiYiIiNoqBi0iIiIiC2HQIiIiIrIQBq12aNOmTQgICICTkxNCQkJw4MABuZtksxITE/HAAw/A1dUV3bp1w6RJk3Du3Dm9MkIILF++HL6+vnB2dsaIESNw+vRpvTIVFRWYO3cuvLy84OLigkcffRS//fabXpnS0lLExMTA3d0d7u7uiImJwbVr1/TK5OXl4S9/+QtcXFzg5eWFefPmobKy0iKf3ZYkJiZCoVAgrs7U0Pxe5JOfn49nnnkGnp6e6NixIwYMGICsrCzd+/xuWl91dTWWLFmCgIAAODs7o3fv3lixYgVqa2t1Zfi9NJF8NzySHLRziL333nvizJkzYv78+cLFxUVcvHhR7qbZpKioKLF9+3Zx6tQpcfz4cTF+/Hjh7+8vbty4oSuzcuVK4erqKpKTk8XJkydFdHS00TnZunfvLjIyMsSxY8fEww8/bDAn25gxY0RwcLA4dOiQOHTokAgODhYTJkzQvV9dXS2Cg4PFww8/LI4dOyYyMjKEr6+vmDNnTuucDCv1ww8/iF69eon7779fzJ8/X7ed34s8rl69Knr27CmmT58uDh8+LHJzc8W+ffvEL7/8oivD76b1vfXWW8LT01N88cUXIjc3V3z88ceiU6dOYt26dboy/F6ahkGrnXnwwQdFbGys3rZ77rlHLFy4UKYWtS1FRUUCgG5ettraWqFSqcTKlSt1Zf744w/h7u4utmzZIoQQ4tq1a8LBwUHs3r1bVyY/P1906NBBfPnll0IIIc6cOSMA6E28q1arBQDx448/CiGESEtLEx06dBD5+fm6Mrt27RJKpbLdzmVz/fp10a9fP5GRkSGGDx+uC1r8XuSTkJAghgwZ0uD7/G7kMX78ePHf//3fetsef/xx8cwzzwgh+L00By8dtiOVlZXIyspCZGSk3vbIyEgcOnRIpla1LWVlZQCALl26AAByc3NRWFiod86VSiWGDx+uO+dZWVmoqqrSK+Pr64vg4GBdGbVaDXd3d4SFhenKPPTQQ3B3d9crExwcrPfcraioKFRUVOhdlmlP/vrXv2L8+PEYNWqU3nZ+L/JJTU1FaGgonnjiCXTr1g0DBw7Ee++9p3uf3408hgwZgq+//ho//fQTACAnJwcHDx7EuHHjAPB7aQ7ZnnVIra+4uBg1NTUGD+329vY2eMg2mU8Igfj4eAwZMgTBwcEAoDuvxs75xYsXdWUcHR31Hk6uLaPdv7CwEN26dTOos1u3bnpl6tfj4eEBR0fHdvn97t69G8eOHcORI0cM3uP3Ip9ff/0VmzdvRnx8PBYvXowffvgB8+bNg1KpxLPPPsvvRiYJCQkoKyvDPffcAzs7O9TU1OBvf/sbnnrqKQD8b6Y5GLTaIYVCofezEMJgG5lvzpw5OHHiBA4ePGjwXlPOef0yxso3pUx7cOnSJcyfPx/p6elwcnJqsBy/l9ZXW1uL0NBQvP322wCAgQMH4vTp09i8eTOeffZZXTl+N60rKSkJH374If7v//4P9957L44fP464uDj4+vpi2rRpunL8XszHS4ftiJeXF+zs7Az+RVBUVGTwrwcyz9y5c5GamopvvvkGPXr00G1XqVQA0Og5V6lUqKysRGlpaaNlfv/9d4N6r1y5olemfj2lpaWoqqpqd99vVlYWioqKEBISAnt7e9jb2yMzMxPr16+Hvb297nzwe2l9Pj4+CAoK0tsWGBiIvLw8APxvRi6vvPIKFi5ciCeffBL33XcfYmJisGDBAiQmJgLg99IcDFrtiKOjI0JCQpCRkaG3PSMjAxERETK1yrYJITBnzhzs2bMH+/fvR0BAgN77AQEBUKlUeue8srISmZmZunMeEhICBwcHvTIFBQU4deqUrkx4eDjKysrwww8/6MocPnwYZWVlemVOnTqFgoICXZn09HQolUqEhIS0/Ie3YiNHjsTJkydx/Phx3RIaGoqnn34ax48fR+/evfm9yGTw4MEGU6D89NNP6NmzJwD+NyOXW7duoUMH/UhgZ2enm96B30sztPLge5KZdnqHbdu2iTNnzoi4uDjh4uIiLly4IHfTbNILL7wg3N3dxbfffisKCgp0y61bt3RlVq5cKdzd3cWePXvEyZMnxVNPPWX0lugePXqIffv2iWPHjolHHnnE6C3R999/v1Cr1UKtVov77rvP6C3RI0eOFMeOHRP79u0TPXr0sNlbolta3bsOheD3IpcffvhB2Nvbi7/97W/i559/Fh999JHo2LGj+PDDD3Vl+N20vmnTponu3bvrpnfYs2eP8PLyEq+++qquDL+XpmHQaoc2btwoevbsKRwdHcWgQYN0UxGQ+QAYXbZv364rU1tbK5YtWyZUKpVQKpVi2LBh4uTJk3rHKS8vF3PmzBFdunQRzs7OYsKECSIvL0+vTElJiXj66aeFq6urcHV1FU8//bQoLS3VK3Px4kUxfvx44ezsLLp06SLmzJkj/vjjD0t9fJtSP2jxe5HP559/LoKDg4VSqRT33HOP2Lp1q977/G5an0ajEfPnzxf+/v7CyclJ9O7dW7z22muioqJCV4bfS9MohBBCzh41IiIioraKY7SIiIiILIRBi4iIiMhCGLSIiIiILIRBi4iIiMhCGLSIiIiILIRBi4iIiMhCGLSIiIiILIRBi4iIiMhCGLSIiMywfPlyDBgwQPfz9OnTMWnSJN3PQgjMmjULXbp0gUKhwPHjx5tc14gRIxAXF9fk/a2FQqHAp59+KncziGRhL3cDiKj9+Pbbb/Hwww+jtLQUnTt3lrs5LeJ//ud/UPcBG19++SV27NiBb7/9Fr1794aXl9cdj9HQedmzZw8cHBws0WwiaiUMWkREfxJCoKamBvb2pv+v0d3dXe/n8+fPw8fHBxEREc1uT5cuXZp9DCKSFy8dEpGB2tparFq1Cn379oVSqYS/vz/+9re/4dtvv4VCocC1a9d0ZY8fPw6FQoELFy4AAC5evIi//OUv8PDwgIuLC+69916kpaXhwoULePjhhwEAHh4eUCgUmD59OgCgoqIC8+bNQ7du3eDk5IQhQ4bgyJEjujq09X711VcYOHAgnJ2d8cgjj6CoqAh79+5FYGAg3Nzc8NRTT+HWrVu6/YQQWL16NXr37g1nZ2f0798fn3zyidHjhoaGQqlU4sCBA2adq7qXDqdPn465c+ciLy8PCoUCvXr1umM7Gjsv9S8d9urVC2+99RaeffZZdOrUCT179sRnn32GK1euYOLEiejUqRPuu+8+HD16VK+Nhw4dwrBhw+Ds7Aw/Pz/MmzcPN2/evONnW7RoER566CGD7ffffz+WLVsGADhy5AhGjx4NLy8vuLu7Y/jw4Th27FiDxzTld6g5bSayOjI+0JqIrNSrr74qPDw8xI4dO8Qvv/wiDhw4IN577z3xzTffCACitLRUVzY7O1sAELm5uUIIIcaPHy9Gjx4tTpw4Ic6fPy8+//xzkZmZKaqrq0VycrIAIM6dOycKCgrEtWvXhBBCzJs3T/j6+oq0tDRx+vRpMW3aNOHh4SFKSkqEEEJX70MPPSQOHjwojh07Jvr27SuGDx8uIiMjxbFjx8R3330nPD09xcqVK3VtW7x4sbjnnnvEl19+Kc6fPy+2b98ulEql+Pbbb/WOe//994v09HTxyy+/iOLi4kbPzbJly0T//v11P0+bNk1MnDhRCCHEtWvXxIoVK0SPHj1EQUGBKCoqumM7Gjsvw4cPF/Pnz9fV1bNnT9GlSxexZcsW8dNPP4kXXnhBuLq6ijFjxoh//etf4ty5c2LSpEkiMDBQ1NbWCiGEOHHihOjUqZNYu3at+Omnn8T3338vBg4cKKZPn37H34OTJ08KAOKXX37RbTt16pSurUII8fXXX4sPPvhAnDlzRpw5c0bMmDFDeHt7C41Go9sHgEhJSdE75439DjWnzUTWhkGLiPRoNBqhVCrFe++9Z/CeKX8k77vvPrF8+XKjxza2/40bN4SDg4P46KOPdNsqKyuFr6+vWL16td5++/bt05VJTEwUAMT58+d122bPni2ioqJ0x3VychKHDh3Sa8OMGTPEU089pXfcTz/91IQzI2ksaAkhxNq1a0XPnj31Pp+p7ah7XoQwHrSeeeYZ3c8FBQUCgFi6dKlum1qtFgBEQUGBEEKImJgYMWvWLL3jHjhwQHTo0EGUl5ff8fPef//9YsWKFbqfFy1aJB544IEGy1dXVwtXV1fx+eef67aZG7Sa22Yia8IxWkSk5+zZs6ioqMDIkSObtP+8efPwwgsvID09HaNGjcLkyZNx//33N1j+/PnzqKqqwuDBg3XbHBwc8OCDD+Ls2bN6Zesex9vbGx07dkTv3r31tv3www8AgDNnzuCPP/7A6NGj9Y5RWVmJgQMH6m0LDQ01/4OayJx2mKL+OQCA++67z2BbUVERVCoVsrKy8Msvv+Cjjz7SlRFCoLa2Frm5uQgMDGy0vqeffhrvv/8+li5dCiEEdu3apXc5s6ioCK+//jr279+P33//HTU1Nbh16xby8vLM/mxazW0zkTVh0CIiPc7Ozg2+16GDNKxT1LnLrqqqSq/M888/j6ioKPz73/9Geno6EhMT8c4772Du3LlGj6k9lkKhMNhef1vdO/AUCoXBHXkKhQK1tbUAoFv/+9//Rvfu3fXKKZVKvZ9dXFyMtq0lmNMOU9Q/Bw1tq3seZs+ejXnz5hkcy9/f/471TZ06FQsXLsSxY8dQXl6OS5cu4cknn9S9P336dFy5cgXr1q1Dz549oVQqER4ejsrKSqPHM+V3qLltJrImDFpEpKdfv35wdnbG119/jeeff17vva5duwIACgoK4OHhAQBG54ny8/NDbGwsYmNjsWjRIrz33nuYO3cuHB0dAQA1NTW6sn379oWjoyMOHjyIqVOnApD+8B49erRZc0gFBQVBqVQiLy8Pw4cPb/JxmsuUdhg7Ly1l0KBBOH36NPr27duk/Xv06IFhw4bho48+Qnl5OUaNGqXrNQOAAwcOYNOmTRg3bhwA4NKlSyguLm7weKb8DjW3zUTWhEGLiPQ4OTkhISEBr776KhwdHTF48GBcuXIFp0+fxrPPPgs/Pz8sX74cb731Fn7++We88847evvHxcVh7NixuOuuu1BaWor9+/frLvX07NkTCoUCX3zxBcaNGwdnZ2d06tQJL7zwAl555RV06dIF/v7+WL16NW7duoUZM2Y0+XO4urri5ZdfxoIFC1BbW4shQ4ZAo9Hg0KFD6NSpE6ZNm9as89SS7WjovLSEhIQEPPTQQ/jrX/+KmTNnwsXFBWfPnkVGRgb+93//16RjPP3001i+fDkqKyuxdu1avff69u2LDz74AKGhodBoNHjllVca7RXt27fvHX+HWqLNRNaC0zsQkYGlS5fipZdewuuvv47AwEBER0ejqKgIDg4O2LVrF3788Uf0798fq1atwltvvaW3b01NDf76178iMDAQY8aMwd13341NmzYBALp374433ngDCxcuhLe3N+bMmQMAWLlyJSZPnoyYmBgMGjQIv/zyC7766itdj0dTvfnmm3j99deRmJiIwMBAREVF4fPPP0dAQECzjtvS7WjovLSE+++/H5mZmfj5558xdOhQDBw4EEuXLoWPj4/Jx3jiiSdQUlKCW7du6c2CDwDvv/8+SktLMXDgQMTExOim6WiIKb9DLdFmImuhEHUvlBMRERFRi2GPFhEREZGFMGgREdVx7733olOnTkaXutMNtAUHDhxo8LO21BgxovaOlw6JiOq4ePGiwXQDWt7e3nB1dW3lFllOeXk58vPzG3yfd/0RNR+DFhEREZGF8NIhERERkYUwaBERERFZCIMWERERkYUwaBERERFZCIMWERERkYUwaBERERFZCIMWERERkYUwaBERERFZyP8HqX6KD1oowmAAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numerical['customer_lifetime_value'],bins= 100, color = 'blue')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numerical['income'],bins= 100, color = 'blue')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numerical['monthly_premium_auto'],bins= 100, color = 'blue')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numerical['months_since_policy_inception'],bins= 100, color = 'blue')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numerical['number_of_policies'],bins= 100, color = 'blue')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.distplot(numerical['total_claim_amount'],bins= 100, color = 'blue')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[<Axes: title={'center': 'customer_lifetime_value'}>,\n",
+       "        <Axes: title={'center': 'income'}>,\n",
+       "        <Axes: title={'center': 'monthly_premium_auto'}>],\n",
+       "       [<Axes: title={'center': 'months_since_last_claim'}>,\n",
+       "        <Axes: title={'center': 'months_since_policy_inception'}>,\n",
+       "        <Axes: title={'center': 'number_of_open_complaints'}>],\n",
+       "       [<Axes: title={'center': 'number_of_policies'}>,\n",
+       "        <Axes: title={'center': 'total_claim_amount'}>, <Axes: >]],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 2000x1500 with 9 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Use Matplotlib to construct histograms\n",
+    "numerical.hist(bins=50, figsize=(20,15))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# For the numerical variables, check the multicollinearity between the features.\n",
+    "# Please note that we will use the column total_claim_amount later as the target variable.\n",
+    "# correlation between different variables\n",
+    "fig, ax = plt.subplots(figsize=(10, 5))\n",
+    "mat = numerical.corr('pearson')\n",
+    "mask = np.triu(np.ones_like(mat, dtype=bool))\n",
+    "cmap = sns.diverging_palette(230, 20, as_cmap=True)\n",
+    "sns.heatmap(mat, mask=mask, cmap=cmap, vmax=1, center=0, annot = True,square=True, linewidths=.5, cbar_kws={'shrink': .5})\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
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+}