analysis_v1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.linear_model import LogisticRegression, LinearRegression\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
    "from sklearn.metrics import classification_report, confusion_matrix, roc_curve, auc, r2_score, ConfusionMatrixDisplay\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.tree import plot_tree"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Analysis of different models plan\n",
    "- Logistic regression with all features\n",
    "- Logistic regression with feature selection\n",
    "- CART with default parameters\n",
    "- CART with cross validation\n",
    "- Random forest with cross validation\n",
    "- Boosted trees with cross validation\n",
    "- Neural network with Keras"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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_number</th>\n",
       "      <th>stage_grouped</th>\n",
       "      <th>max_closed_date</th>\n",
       "      <th>cloud_revenue</th>\n",
       "      <th>total_opp_amount</th>\n",
       "      <th>employees</th>\n",
       "      <th>country</th>\n",
       "      <th>industry</th>\n",
       "      <th>ee_count</th>\n",
       "      <th>contacts_count</th>\n",
       "      <th>...</th>\n",
       "      <th>part_request_events</th>\n",
       "      <th>part_request_days_used</th>\n",
       "      <th>share_events</th>\n",
       "      <th>share_days_used</th>\n",
       "      <th>tasks_events</th>\n",
       "      <th>tasks_days_used</th>\n",
       "      <th>version_control_events</th>\n",
       "      <th>version_control_days_used</th>\n",
       "      <th>web_review_events</th>\n",
       "      <th>web_review_days_used</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11325</td>\n",
       "      <td>lost</td>\n",
       "      <td>8/15/24</td>\n",
       "      <td>15487.00</td>\n",
       "      <td>10497.00</td>\n",
       "      <td>850</td>\n",
       "      <td>UNITED STATES</td>\n",
       "      <td>Industrial/Instrumentation</td>\n",
       "      <td>4</td>\n",
       "      <td>70</td>\n",
       "      <td>...</td>\n",
       "      <td>176</td>\n",
       "      <td>48</td>\n",
       "      <td>63</td>\n",
       "      <td>6</td>\n",
       "      <td>82</td>\n",
       "      <td>11</td>\n",
       "      <td>10022</td>\n",
       "      <td>151</td>\n",
       "      <td>8051</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11329</td>\n",
       "      <td>won</td>\n",
       "      <td>7/31/24</td>\n",
       "      <td>999.00</td>\n",
       "      <td>999.00</td>\n",
       "      <td>2683</td>\n",
       "      <td>UNITED STATES</td>\n",
       "      <td>Electronic Component and Semiconductor</td>\n",
       "      <td>17</td>\n",
       "      <td>301</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>48</td>\n",
       "      <td>13</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "      <td>8343</td>\n",
       "      <td>149</td>\n",
       "      <td>6650</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11336</td>\n",
       "      <td>won</td>\n",
       "      <td>7/25/24</td>\n",
       "      <td>72231.75</td>\n",
       "      <td>72231.75</td>\n",
       "      <td>1893</td>\n",
       "      <td>UNITED STATES</td>\n",
       "      <td>Industrial/Instrumentation</td>\n",
       "      <td>55</td>\n",
       "      <td>241</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>502</td>\n",
       "      <td>78</td>\n",
       "      <td>147</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11816</td>\n",
       "      <td>won</td>\n",
       "      <td>3/31/24</td>\n",
       "      <td>45747.30</td>\n",
       "      <td>154342.39</td>\n",
       "      <td>5000</td>\n",
       "      <td>UNITED STATES</td>\n",
       "      <td>Industrial/Instrumentation</td>\n",
       "      <td>23</td>\n",
       "      <td>85</td>\n",
       "      <td>...</td>\n",
       "      <td>27</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>2633</td>\n",
       "      <td>65</td>\n",
       "      <td>1052</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11872</td>\n",
       "      <td>lost</td>\n",
       "      <td>11/7/23</td>\n",
       "      <td>15000.00</td>\n",
       "      <td>15000.00</td>\n",
       "      <td>129</td>\n",
       "      <td>UNITED STATES</td>\n",
       "      <td>Aerospace</td>\n",
       "      <td>21</td>\n",
       "      <td>115</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   customer_number stage_grouped max_closed_date  cloud_revenue  \\\n",
       "0            11325          lost         8/15/24       15487.00   \n",
       "1            11329           won         7/31/24         999.00   \n",
       "2            11336           won         7/25/24       72231.75   \n",
       "3            11816           won         3/31/24       45747.30   \n",
       "4            11872          lost         11/7/23       15000.00   \n",
       "\n",
       "   total_opp_amount  employees        country  \\\n",
       "0          10497.00        850  UNITED STATES   \n",
       "1            999.00       2683  UNITED STATES   \n",
       "2          72231.75       1893  UNITED STATES   \n",
       "3         154342.39       5000  UNITED STATES   \n",
       "4          15000.00        129  UNITED STATES   \n",
       "\n",
       "                                 industry  ee_count  contacts_count  ...  \\\n",
       "0              Industrial/Instrumentation         4              70  ...   \n",
       "1  Electronic Component and Semiconductor        17             301  ...   \n",
       "2              Industrial/Instrumentation        55             241  ...   \n",
       "3              Industrial/Instrumentation        23              85  ...   \n",
       "4                               Aerospace        21             115  ...   \n",
       "\n",
       "   part_request_events  part_request_days_used  share_events  share_days_used  \\\n",
       "0                  176                      48            63                6   \n",
       "1                    8                       7            48               13   \n",
       "2                    0                       0             1                1   \n",
       "3                   27                      14             4                2   \n",
       "4                    1                       1             0                0   \n",
       "\n",
       "   tasks_events  tasks_days_used  version_control_events  \\\n",
       "0            82               11                   10022   \n",
       "1            29                7                    8343   \n",
       "2             0                0                     502   \n",
       "3            20               10                    2633   \n",
       "4             0                0                      64   \n",
       "\n",
       "   version_control_days_used  web_review_events  web_review_days_used  \n",
       "0                        151               8051                   133  \n",
       "1                        149               6650                   131  \n",
       "2                         78                147                    17  \n",
       "3                         65               1052                    59  \n",
       "4                          6                  2                     2  \n",
       "\n",
       "[5 rows x 39 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load csv into dataframe\n",
    "df = pd.read_csv('data/data_clean.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_number</th>\n",
       "      <th>cloud_revenue</th>\n",
       "      <th>total_opp_amount</th>\n",
       "      <th>employees</th>\n",
       "      <th>ee_count</th>\n",
       "      <th>contacts_count</th>\n",
       "      <th>non_ee_count</th>\n",
       "      <th>emb_world_attendees</th>\n",
       "      <th>email_clicks</th>\n",
       "      <th>a365_new_wb_visits</th>\n",
       "      <th>...</th>\n",
       "      <th>part_request_events</th>\n",
       "      <th>part_request_days_used</th>\n",
       "      <th>share_events</th>\n",
       "      <th>share_days_used</th>\n",
       "      <th>tasks_events</th>\n",
       "      <th>tasks_days_used</th>\n",
       "      <th>version_control_events</th>\n",
       "      <th>version_control_days_used</th>\n",
       "      <th>web_review_events</th>\n",
       "      <th>web_review_days_used</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8.830000e+02</td>\n",
       "      <td>8.830000e+02</td>\n",
       "      <td>8.830000e+02</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "      <td>883.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.276521e+06</td>\n",
       "      <td>8.470720e+03</td>\n",
       "      <td>2.397318e+04</td>\n",
       "      <td>2406.430351</td>\n",
       "      <td>5.588901</td>\n",
       "      <td>33.310306</td>\n",
       "      <td>11.486976</td>\n",
       "      <td>0.001133</td>\n",
       "      <td>20.164213</td>\n",
       "      <td>4.465459</td>\n",
       "      <td>...</td>\n",
       "      <td>24.984145</td>\n",
       "      <td>3.944507</td>\n",
       "      <td>38.394111</td>\n",
       "      <td>7.044168</td>\n",
       "      <td>40.595696</td>\n",
       "      <td>7.101925</td>\n",
       "      <td>3571.361268</td>\n",
       "      <td>72.831257</td>\n",
       "      <td>4712.417894</td>\n",
       "      <td>58.964892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.192995e+05</td>\n",
       "      <td>4.313707e+04</td>\n",
       "      <td>6.378526e+04</td>\n",
       "      <td>13835.695822</td>\n",
       "      <td>6.987823</td>\n",
       "      <td>65.009933</td>\n",
       "      <td>15.254255</td>\n",
       "      <td>0.033653</td>\n",
       "      <td>82.206760</td>\n",
       "      <td>18.799144</td>\n",
       "      <td>...</td>\n",
       "      <td>149.181743</td>\n",
       "      <td>13.113160</td>\n",
       "      <td>155.807278</td>\n",
       "      <td>13.254070</td>\n",
       "      <td>152.865119</td>\n",
       "      <td>16.747858</td>\n",
       "      <td>6870.728904</td>\n",
       "      <td>58.764431</td>\n",
       "      <td>9570.429890</td>\n",
       "      <td>56.211839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.132500e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.649320e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.200000e+03</td>\n",
       "      <td>16.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>3.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.556030e+06</td>\n",
       "      <td>1.253990e+03</td>\n",
       "      <td>9.701390e+03</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1050.000000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>764.000000</td>\n",
       "      <td>41.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.796156e+06</td>\n",
       "      <td>7.705480e+03</td>\n",
       "      <td>2.851199e+04</td>\n",
       "      <td>250.000000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4436.000000</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>5341.000000</td>\n",
       "      <td>117.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.958050e+06</td>\n",
       "      <td>1.218750e+06</td>\n",
       "      <td>1.297890e+06</td>\n",
       "      <td>195000.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>1083.000000</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2091.000000</td>\n",
       "      <td>362.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2170.000000</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>3041.000000</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>2683.000000</td>\n",
       "      <td>136.000000</td>\n",
       "      <td>86477.000000</td>\n",
       "      <td>179.000000</td>\n",
       "      <td>95420.000000</td>\n",
       "      <td>181.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       customer_number  cloud_revenue  total_opp_amount      employees  \\\n",
       "count     8.830000e+02   8.830000e+02      8.830000e+02     883.000000   \n",
       "mean      1.276521e+06   8.470720e+03      2.397318e+04    2406.430351   \n",
       "std       6.192995e+05   4.313707e+04      6.378526e+04   13835.695822   \n",
       "min       1.132500e+04   0.000000e+00      0.000000e+00       1.000000   \n",
       "25%       7.649320e+05   0.000000e+00      1.200000e+03      16.500000   \n",
       "50%       1.556030e+06   1.253990e+03      9.701390e+03      60.000000   \n",
       "75%       1.796156e+06   7.705480e+03      2.851199e+04     250.000000   \n",
       "max       1.958050e+06   1.218750e+06      1.297890e+06  195000.000000   \n",
       "\n",
       "         ee_count  contacts_count  non_ee_count  emb_world_attendees  \\\n",
       "count  883.000000      883.000000    883.000000           883.000000   \n",
       "mean     5.588901       33.310306     11.486976             0.001133   \n",
       "std      6.987823       65.009933     15.254255             0.033653   \n",
       "min      0.000000        0.000000      0.000000             0.000000   \n",
       "25%      1.000000        8.000000      2.000000             0.000000   \n",
       "50%      4.000000       19.000000      7.000000             0.000000   \n",
       "75%      7.500000       38.000000     15.000000             0.000000   \n",
       "max     59.000000     1083.000000    140.000000             1.000000   \n",
       "\n",
       "       email_clicks  a365_new_wb_visits  ...  part_request_events  \\\n",
       "count    883.000000          883.000000  ...           883.000000   \n",
       "mean      20.164213            4.465459  ...            24.984145   \n",
       "std       82.206760           18.799144  ...           149.181743   \n",
       "min        0.000000            0.000000  ...             0.000000   \n",
       "25%        2.000000            0.000000  ...             0.000000   \n",
       "50%        6.000000            0.000000  ...             0.000000   \n",
       "75%       17.000000            3.000000  ...             3.000000   \n",
       "max     2091.000000          362.000000  ...          2170.000000   \n",
       "\n",
       "       part_request_days_used  share_events  share_days_used  tasks_events  \\\n",
       "count              883.000000    883.000000       883.000000    883.000000   \n",
       "mean                 3.944507     38.394111         7.044168     40.595696   \n",
       "std                 13.113160    155.807278        13.254070    152.865119   \n",
       "min                  0.000000      0.000000         0.000000      0.000000   \n",
       "25%                  0.000000      0.000000         0.000000      0.000000   \n",
       "50%                  0.000000      4.000000         2.000000      0.000000   \n",
       "75%                  3.000000     24.000000         8.000000     11.000000   \n",
       "max                140.000000   3041.000000       126.000000   2683.000000   \n",
       "\n",
       "       tasks_days_used  version_control_events  version_control_days_used  \\\n",
       "count       883.000000              883.000000                 883.000000   \n",
       "mean          7.101925             3571.361268                  72.831257   \n",
       "std          16.747858             6870.728904                  58.764431   \n",
       "min           0.000000                0.000000                   0.000000   \n",
       "25%           0.000000               18.000000                   3.500000   \n",
       "50%           0.000000             1050.000000                  79.000000   \n",
       "75%           4.000000             4436.000000                 126.000000   \n",
       "max         136.000000            86477.000000                 179.000000   \n",
       "\n",
       "       web_review_events  web_review_days_used  \n",
       "count         883.000000            883.000000  \n",
       "mean         4712.417894             58.964892  \n",
       "std          9570.429890             56.211839  \n",
       "min             0.000000              0.000000  \n",
       "25%            20.000000              3.500000  \n",
       "50%           764.000000             41.000000  \n",
       "75%          5341.000000            117.000000  \n",
       "max         95420.000000            181.000000  \n",
       "\n",
       "[8 rows x 35 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Summarize the data\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Logistic Regression"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## All features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_number</th>\n",
       "      <th>stage_grouped</th>\n",
       "      <th>max_closed_date</th>\n",
       "      <th>cloud_revenue</th>\n",
       "      <th>total_opp_amount</th>\n",
       "      <th>employees</th>\n",
       "      <th>country</th>\n",
       "      <th>industry</th>\n",
       "      <th>ee_count</th>\n",
       "      <th>contacts_count</th>\n",
       "      <th>...</th>\n",
       "      <th>part_request_days_used</th>\n",
       "      <th>share_events</th>\n",
       "      <th>share_days_used</th>\n",
       "      <th>tasks_events</th>\n",
       "      <th>tasks_days_used</th>\n",
       "      <th>version_control_events</th>\n",
       "      <th>version_control_days_used</th>\n",
       "      <th>web_review_events</th>\n",
       "      <th>web_review_days_used</th>\n",
       "      <th>stage_grouped_num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11325</td>\n",
       "      <td>lost</td>\n",
       "      <td>8/15/24</td>\n",
       "      <td>15487.00</td>\n",
       "      <td>10497.00</td>\n",
       "      <td>850</td>\n",
       "      <td>UNITED STATES</td>\n",
       "      <td>Industrial/Instrumentation</td>\n",
       "      <td>4</td>\n",
       "      <td>70</td>\n",
       "      <td>...</td>\n",
       "      <td>48</td>\n",
       "      <td>63</td>\n",
       "      <td>6</td>\n",
       "      <td>82</td>\n",
       "      <td>11</td>\n",
       "      <td>10022</td>\n",
       "      <td>151</td>\n",
       "      <td>8051</td>\n",
       "      <td>133</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11329</td>\n",
       "      <td>won</td>\n",
       "      <td>7/31/24</td>\n",
       "      <td>999.00</td>\n",
       "      <td>999.00</td>\n",
       "      <td>2683</td>\n",
       "      <td>UNITED STATES</td>\n",
       "      <td>Electronic Component and Semiconductor</td>\n",
       "      <td>17</td>\n",
       "      <td>301</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>48</td>\n",
       "      <td>13</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "      <td>8343</td>\n",
       "      <td>149</td>\n",
       "      <td>6650</td>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11336</td>\n",
       "      <td>won</td>\n",
       "      <td>7/25/24</td>\n",
       "      <td>72231.75</td>\n",
       "      <td>72231.75</td>\n",
       "      <td>1893</td>\n",
       "      <td>UNITED STATES</td>\n",
       "      <td>Industrial/Instrumentation</td>\n",
       "      <td>55</td>\n",
       "      <td>241</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>502</td>\n",
       "      <td>78</td>\n",
       "      <td>147</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11816</td>\n",
       "      <td>won</td>\n",
       "      <td>3/31/24</td>\n",
       "      <td>45747.30</td>\n",
       "      <td>154342.39</td>\n",
       "      <td>5000</td>\n",
       "      <td>UNITED STATES</td>\n",
       "      <td>Industrial/Instrumentation</td>\n",
       "      <td>23</td>\n",
       "      <td>85</td>\n",
       "      <td>...</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>2633</td>\n",
       "      <td>65</td>\n",
       "      <td>1052</td>\n",
       "      <td>59</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11872</td>\n",
       "      <td>lost</td>\n",
       "      <td>11/7/23</td>\n",
       "      <td>15000.00</td>\n",
       "      <td>15000.00</td>\n",
       "      <td>129</td>\n",
       "      <td>UNITED STATES</td>\n",
       "      <td>Aerospace</td>\n",
       "      <td>21</td>\n",
       "      <td>115</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   customer_number stage_grouped max_closed_date  cloud_revenue  \\\n",
       "0            11325          lost         8/15/24       15487.00   \n",
       "1            11329           won         7/31/24         999.00   \n",
       "2            11336           won         7/25/24       72231.75   \n",
       "3            11816           won         3/31/24       45747.30   \n",
       "4            11872          lost         11/7/23       15000.00   \n",
       "\n",
       "   total_opp_amount  employees        country  \\\n",
       "0          10497.00        850  UNITED STATES   \n",
       "1            999.00       2683  UNITED STATES   \n",
       "2          72231.75       1893  UNITED STATES   \n",
       "3         154342.39       5000  UNITED STATES   \n",
       "4          15000.00        129  UNITED STATES   \n",
       "\n",
       "                                 industry  ee_count  contacts_count  ...  \\\n",
       "0              Industrial/Instrumentation         4              70  ...   \n",
       "1  Electronic Component and Semiconductor        17             301  ...   \n",
       "2              Industrial/Instrumentation        55             241  ...   \n",
       "3              Industrial/Instrumentation        23              85  ...   \n",
       "4                               Aerospace        21             115  ...   \n",
       "\n",
       "   part_request_days_used  share_events  share_days_used  tasks_events  \\\n",
       "0                      48            63                6            82   \n",
       "1                       7            48               13            29   \n",
       "2                       0             1                1             0   \n",
       "3                      14             4                2            20   \n",
       "4                       1             0                0             0   \n",
       "\n",
       "   tasks_days_used  version_control_events  version_control_days_used  \\\n",
       "0               11                   10022                        151   \n",
       "1                7                    8343                        149   \n",
       "2                0                     502                         78   \n",
       "3               10                    2633                         65   \n",
       "4                0                      64                          6   \n",
       "\n",
       "   web_review_events  web_review_days_used  stage_grouped_num  \n",
       "0               8051                   133                  0  \n",
       "1               6650                   131                  1  \n",
       "2                147                    17                  1  \n",
       "3               1052                    59                  1  \n",
       "4                  2                     2                  0  \n",
       "\n",
       "[5 rows x 40 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add column converting stage_grouped to a 0/1\n",
    "df['stage_grouped_num'] = df['stage_grouped'].apply(lambda x: 1 if x == 'won' else 0)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(883, 33) (883,)\n"
     ]
    }
   ],
   "source": [
    "# Drop customer_number, stage_grouped, max_closed_date, cloud_revenue, total_opp_amount from the dataframe\n",
    "X = df.drop(['country','customer_number', 'stage_grouped', 'max_closed_date', 'cloud_revenue', 'total_opp_amount', 'stage_grouped_num'], axis=1)\n",
    "y = df['stage_grouped_num']\n",
    "print(X.shape, y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>employees</th>\n",
       "      <th>ee_count</th>\n",
       "      <th>contacts_count</th>\n",
       "      <th>non_ee_count</th>\n",
       "      <th>emb_world_attendees</th>\n",
       "      <th>email_clicks</th>\n",
       "      <th>a365_new_wb_visits</th>\n",
       "      <th>a365_rest_wb_visits</th>\n",
       "      <th>total_webinars_attended</th>\n",
       "      <th>total_webinar_attendees</th>\n",
       "      <th>...</th>\n",
       "      <th>industry_Maritime</th>\n",
       "      <th>industry_Medical Device</th>\n",
       "      <th>industry_Medical Devices</th>\n",
       "      <th>industry_Military/Defense</th>\n",
       "      <th>industry_Non-Traditional Sectors</th>\n",
       "      <th>industry_Other</th>\n",
       "      <th>industry_Retail</th>\n",
       "      <th>industry_Service Bureau / Engineering Services</th>\n",
       "      <th>industry_Technology</th>\n",
       "      <th>industry_Telecommunications</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>850</td>\n",
       "      <td>4</td>\n",
       "      <td>70</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "      <td>38</td>\n",
       "      <td>204</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2683</td>\n",
       "      <td>17</td>\n",
       "      <td>301</td>\n",
       "      <td>85</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "      <td>114</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1893</td>\n",
       "      <td>55</td>\n",
       "      <td>241</td>\n",
       "      <td>85</td>\n",
       "      <td>0</td>\n",
       "      <td>93</td>\n",
       "      <td>0</td>\n",
       "      <td>107</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5000</td>\n",
       "      <td>23</td>\n",
       "      <td>85</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>148</td>\n",
       "      <td>9</td>\n",
       "      <td>103</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>129</td>\n",
       "      <td>21</td>\n",
       "      <td>115</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   employees  ee_count  contacts_count  non_ee_count  emb_world_attendees  \\\n",
       "0        850         4              70            31                    0   \n",
       "1       2683        17             301            85                    0   \n",
       "2       1893        55             241            85                    0   \n",
       "3       5000        23              85            26                    0   \n",
       "4        129        21             115            50                    0   \n",
       "\n",
       "   email_clicks  a365_new_wb_visits  a365_rest_wb_visits  \\\n",
       "0            64                  38                  204   \n",
       "1            53                   0                  114   \n",
       "2            93                   0                  107   \n",
       "3           148                   9                  103   \n",
       "4             5                   0                    9   \n",
       "\n",
       "   total_webinars_attended  total_webinar_attendees  ...  industry_Maritime  \\\n",
       "0                        3                        3  ...              False   \n",
       "1                        0                        0  ...              False   \n",
       "2                        1                        1  ...              False   \n",
       "3                        7                       11  ...              False   \n",
       "4                        1                        1  ...              False   \n",
       "\n",
       "   industry_Medical Device  industry_Medical Devices  \\\n",
       "0                    False                     False   \n",
       "1                    False                     False   \n",
       "2                    False                     False   \n",
       "3                    False                     False   \n",
       "4                    False                     False   \n",
       "\n",
       "   industry_Military/Defense  industry_Non-Traditional Sectors  \\\n",
       "0                      False                             False   \n",
       "1                      False                             False   \n",
       "2                      False                             False   \n",
       "3                      False                             False   \n",
       "4                      False                             False   \n",
       "\n",
       "   industry_Other  industry_Retail  \\\n",
       "0           False            False   \n",
       "1           False            False   \n",
       "2           False            False   \n",
       "3           False            False   \n",
       "4           False            False   \n",
       "\n",
       "   industry_Service Bureau / Engineering Services  industry_Technology  \\\n",
       "0                                           False                False   \n",
       "1                                           False                False   \n",
       "2                                           False                False   \n",
       "3                                           False                False   \n",
       "4                                           False                False   \n",
       "\n",
       "   industry_Telecommunications  \n",
       "0                        False  \n",
       "1                        False  \n",
       "2                        False  \n",
       "3                        False  \n",
       "4                        False  \n",
       "\n",
       "[5 rows x 59 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Perform one-hot encoding on the 'industry' column\n",
    "X = pd.get_dummies(X, columns=['industry'], drop_first=True)\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(618, 59) (265, 59) (618,) (265,)\n"
     ]
    }
   ],
   "source": [
    "# Split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
    "print(X_train.shape, X_test.shape, y_train.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(618, 59) (265, 59)\n"
     ]
    }
   ],
   "source": [
    "# Standardize the features\n",
    "scaler = StandardScaler()\n",
    "X_train = scaler.fit_transform(X_train)\n",
    "X_test = scaler.transform(X_test)\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.59      0.70      0.64       135\n",
      "           1       0.62      0.50      0.55       130\n",
      "\n",
      "    accuracy                           0.60       265\n",
      "   macro avg       0.61      0.60      0.60       265\n",
      "weighted avg       0.61      0.60      0.60       265\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Create and train the logistic regression model\n",
    "logistic_model = LogisticRegression()\n",
    "logistic_model.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions\n",
    "y_pred = logistic_model.predict(X_test)\n",
    "\n",
    "# Evaluate the model\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Display the confusion matrix with labels\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=confusion_matrix(y_test, y_pred), display_labels=['Lost', 'Won'])\n",
    "disp.plot(cmap='Blues')\n",
    "plt.title('Confusion Matrix')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "# Custom confusion matrix\n",
    "# Get predicted probabilities\n",
    "y_probs = logistic_model.predict_proba(X_test)[:, 1]\n",
    "\n",
    "# Set custom threshold\n",
    "threshold = 0.4\n",
    "y_pred_threshold = (y_probs >= threshold).astype(int)\n",
    "\n",
    "# Calculate confusion matrix\n",
    "cm = confusion_matrix(y_test, y_pred_threshold)\n",
    "\n",
    "# Display the confusion matrix with labels\n",
    "disp_threshold = ConfusionMatrixDisplay(confusion_matrix=confusion_matrix(y_test, y_pred_threshold), display_labels=['Lost', 'Won'])\n",
    "disp_threshold.plot(cmap='Blues')\n",
    "plt.title('Confusion Matrix')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3757G5fwvf+Br6+UPvZwPs/j4eACQasI0atRIYztDQ8MCh2xys7S0BPDva6iLuHKOeerUKSxcuBBnzpzB8+fPNbZPSEiAlZWVdLug90NxjhEdHQ0AaNGihVbPIYe2vx/Ffe9+/vnnGDduHBwdHeHh4YG+ffti7NixaNiwodYx5iS+JX2OAAosM+Hk5IQ1a9ZArVYjOjoaixcvxuPHj/MklRYWFkUmJy//LlpaWkqxaxtrUQleSd+7xZXfeTY0NERAQAB++eUXpKenw9jYGIGBgcjMzNRIhErzN5c0MRGqojw9PdG2bVsAL3otOnfujFGjRiEyMhLm5uZS/Y7Zs2fn+y0ZyPvBVxi1Wo2WLVti+fLl+d7v6OhY6P7Dhw/H4sWLERcXBwsLC+zevRsjR46UeiBy4n311VfzzCXK4ebmpnG7OL1BwIs5NLt27cLFixfRtWvXfLe5ePEiABTrW3puJXmd84v7rbfewrp16/B///d/6NixI6ysrKBQKDBixIgCa7EU18u9TzkK+lDTlouLCwDg0qVLcHd3L/Z+RcUVHR2Nnj17wsXFBcuXL4ejoyNUKhX279+PFStW5Hld8ntdtT1GSWn7+1Hc9+6wYcPQpUsXBAUF4fDhw/jiiy/w2WefITAwEK+88kqp4y4uGxsbAP8mzy+rVq2axty6Tp06oU2bNnj//ffx9ddfS+3NmjXDhQsXcPv27TyJcI6XfxddXFxw/vx53Llzp8i/M7nFx8fn+0UmN23fuwUlVtnZ2fm2F3SeR4wYgdWrV+PAgQPw8/PDr7/+ChcXF7Rq1UraprR/c+lfTIT0gFKpxNKlS9G9e3d8++23mDNnjvSN0cjISOMPVH6cnZ3xzz//FLlNeHg4evbsWayhgpcNHz4cixYtws6dO1G7dm0kJiZKkwIBoFatWrCwsEB2dnaR8Wqrf//+WLp0KTZu3JhvIpSdnY1ffvkF1tbW6NSpk8Z9169fz7P9tWvXpJ4SbV7nwuzYsQPjxo3DsmXLpLa0tDQ8e/ZMY7uSvPZFySmOFxUVhe7du0vtWVlZiImJyZOAvuyVV16BUqnEzz//rNNJp3v27EF6ejp2796t8aGpzZBAcY/h7OwMAPjnn38K/YJQ0Otf2t+PwtjZ2WHq1KmYOnUqHj16hDZt2mDx4sVSIlTcx8t5rxb1u56fnITh5s2bxdrezc0Nr776KlavXo3Zs2dLr33//v2xZcsWbNy4ER988EGe/RITExEcHAwXFxfpPAwYMABbtmzBzz//jLlz5xbr8bOysnDnzh0MHDiw0O20fe9aW1vn+Z0EoHWl7a5du8LOzg7btm1D586dcfToUcybN09jm7J8T+kbzhHSE926dYOnpydWrlyJtLQ02Nraolu3bli9ejUePHiQZ/vHjx9L/w8ICEB4eDiCgoLybJfz7XzYsGG4d+8e1qxZk2eb1NRU6eqngjRr1gwtW7bEtm3bsG3bNtjZ2WkkJUqlEgEBAdi5c2e+f6hzx6stLy8v9OrVC+vWrcu3cu28efNw7do1vPvuu3m+we3atUtjjs9ff/2F0NBQ6UNIm9e5MEqlMk8PzTfffJPnm2a1atUAIN8/xiXVtm1b2NjYYM2aNcjKypLaN2/eXGAPQG6Ojo6YOHEiDh8+jG+++SbP/Wq1GsuWLcPdu3e1iiunx+jlYcJ169bp/Bh9+vSBhYUFli5dirS0NI37cu9brVq1fIcqS/v7kZ/s7Ow8j2Vra4u6desiPT29yJheVqtWLXTt2hVr167F7du3Ne4rqnfQ3t4ejo6OWlVZfvfdd5GZmanRozFkyBA0b94cn376aZ5jqdVqTJkyBfHx8Vi4cKHGPi1btsTixYtx5syZPI+TlJSUJ4m4cuUK0tLS4OXlVWiM2r53nZ2dkZCQIPVaAcCDBw/y/dtZGAMDAwwZMgR79uzBpk2bkJWVpTEsBpTNe0pfsUdIj7zzzjsYOnQo1q9fj8mTJ+O7775D586d0bJlS0ycOBENGzZEbGwszpw5g7t370ol6N955x3s2LEDQ4cOxeuvvw4PDw88ffoUu3fvxqpVq9CqVSuMGTMGv/76KyZPnoxjx46hU6dOyM7ORkREBH799VccOnRIGqoryPDhw7FgwQKYmJhgwoQJMDDQzNM//fRTHDt2DO3bt8fEiRPRvHlzPH36FOfOnUNISAiePn1a4tdm48aN6NmzJwYNGoRRo0ahS5cuSE9PR2BgII4fP47hw4fjnXfeybNfo0aN0LlzZ0yZMgXp6elYuXIlbGxs8O6770rbFPd1Lkz//v2xadMmWFlZoXnz5jhz5gxCQkKkIYkc7u7uUCqV+Oyzz5CQkABjY2P06NEDtra2JX5tVCoVPvzwQ7z11lvo0aMHhg0bhpiYGKxfvx7Ozs7F+ja6bNkyREdH4+2330ZgYCD69+8Pa2tr3L59G9u3b0dERIRGD2Bx9OnTByqVCgMGDMCkSZOQnJyMNWvWwNbWNt+kszTHsLS0xIoVK/DGG2+gXbt2GDVqFKytrREeHo7nz59jw4YNAAAPDw9s27YNs2bNQrt27WBubo4BAwbo5PfjZUlJSXBwcMCQIUOkZSVCQkJw9uxZjZ7DgmLKz9dff43OnTujTZs2ePPNN9GgQQPExMRg3759uHDhQqHxDBo0CEFBQcWaewO8GNrq27cvfvzxR8yfPx82NjZQqVTYsWMHevbsic6dO2P8+PFo27Ytnj17hl9++QXnzp3Df/7zH433ipGREQIDA9GrVy907doVw4YNQ6dOnWBkZITLly9Lvbm5L///7bffYGZmht69excZpzbv3REjRuC9996Dv78/3n77bTx//hzff/89mjRpovVFDcOHD8c333yDhQsXomXLlnnKYJTFe0pvlf+FalSWCiqoKMSLyqXOzs7C2dlZujw7OjpajB07VtSpU0cYGRkJe3t70b9/f7Fjxw6NfZ88eSKmT58ulb53cHAQ48aN07iUPSMjQ3z22WfC1dVVGBsbC2tra+Hh4SEWLVokEhISpO1evnw+x/Xr16WibydPnsz3+cXGxopp06YJR0dHYWRkJOrUqSN69uwpfvjhB2mbnMvCt2/frtVrl5SUJD788EPh6uoqTE1NhYWFhejUqZNYv359nsuHcxdUXLZsmXB0dBTGxsaiS5cuIjw8PM+xi/M6F3bu4uPjxfjx40XNmjWFubm58PHxEREREfm+lmvWrBENGzYUSqWyWAUVX36dCiq09/XXX4v69esLY2Nj4enpKU6dOiU8PDyEr69vMV7dF1V4f/zxR9GlSxdhZWUljIyMRP369cX48eM1Lk8uqLJ0zuuTu4jk7t27hZubmzAxMRFOTk7is88+E2vXrs2zXU5BxfwU9xg523p5eQlTU1NhaWkpPD09xZYtW6T7k5OTxahRo0T16tXzFFQs7u8H/ldoLz/Idfl8enq6eOedd0SrVq2EhYWFqFatmmjVqlWeYpAFxVTQef7nn3+Ev7+/qF69ujAxMRFNmzYV8+fPzzee3M6dOycA5Lmcu6CCikIIcfz48TwlAYQQ4tGjR2LWrFmiUaNGwtjYWFSvXl306tVLumQ+P/Hx8WLBggWiZcuWwszMTJiYmIgWLVqIuXPnigcPHmhs2759e/Hqq68W+ZxyFPe9K4QQhw8fFi1atBAqlUo0bdpU/Pzzz4UWVCyIWq0Wjo6OAoD45JNP8t2muO8pKpxCiEqymiRRBRITE4MGDRrgiy++wOzZs+UORxZqtRq1atXC4MGD8+2eJ/3Ts2dP1K1bF5s2bZI7lAJduHABbdq0wblz57SavE9VF+cIEVGR0tLS8swT2bhxI54+fYpu3brJExRVOEuWLMG2bdu0nhxcnj799FMMGTKESRBJOEeIiIr0559/YubMmRg6dChsbGxw7tw5/PTTT2jRogWGDh0qd3hUQbRv3x4ZGRlyh1GorVu3yh0CVTBMhIioSE5OTnB0dMTXX3+Np0+fokaNGhg7diw+/fTTAtdwIyKqDDhHiIiIiPQW5wgRERGR3mIiRERERHpL7+YIqdVq3L9/HxYWFixLTkREVEkIIZCUlIS6devmKbhbGnqXCN2/f5+L0REREVVSd+7cgYODg86Op3eJkIWFBYAXL6SlpaXM0RAREVFxJCYmwtHRUfoc1xW9S4RyhsMsLS2ZCBEREVUyup7WwsnSREREpLeYCBEREZHeYiJEREREeouJEBEREektJkJERESkt5gIERERkd5iIkRERER6i4kQERER6S0mQkRERKS3mAgRERGR3pI1ETpx4gQGDBiAunXrQqFQYNeuXUXuc/z4cbRp0wbGxsZo1KgR1q9fX+ZxEhERUdUkayKUkpKCVq1a4bvvvivW9jdv3kS/fv3QvXt3XLhwAf/3f/+HN954A4cOHSrjSImIiKgqknXR1VdeeQWvvPJKsbdftWoVGjRogGXLlgEAmjVrhpMnT2LFihXw8fEpqzCJiIioiqpUc4TOnDmDXr16abT5+PjgzJkzMkVEREREZU0IgUePHpXJsWXtEdLWw4cPUbt2bY222rVrIzExEampqTA1Nc2zT3p6OtLT06XbiYmJZR4nERER6UZSUhKCg4Nx6VJkmRy/UvUIlcTSpUthZWUl/Tg6OsodEhERERVDREQEVq1ahejoaBgYZJXJY1SqRKhOnTqIjY3VaIuNjYWlpWW+vUEAMHfuXCQkJEg/d+7cKY9QiYiIqBRSUlLw66+BeP78OQAgOdm8TB6nUiVCHTt2xJEjRzTafvvtN3Ts2LHAfYyNjWFpaanxQ0RERBVbtWrVEBrqCwC4etUFP/00oUweR9Y5QsnJyYiKipJu37x5ExcuXECNGjVQr149zJ07F/fu3cPGjRsBAJMnT8a3336Ld999F6+//jqOHj2KX3/9Ffv27ZPrKRAREZEOqNVqqNVqGBr+m5qEh7dGZKQlbt50Ru3aSUhN1f3jypoI/f333+jevbt0e9asWQCAcePGYf369Xjw4AFu374t3d+gQQPs27cPM2fOxFdffQUHBwf8+OOPvHSeiIiokti+HViwAEhK+retWrUEdOu2C/HxtXD6dF+p/cEDBdTqRrC3B65cAaysdB+PQgghdH/YiisxMRFWVlZISEjgMBkREVE5a9YMiIj497ar62X0778XpqZpAIDNm0fh+vXGGvu4uAChoWXz+V2pLp8nIiKiyi2nJ8jEJB2DBx9Akybh0n3JyZawtFTB3v7f7S0sgI8/Lrt4mAgRERFRofIbziqpBw8AB4c7GDYsCJaW8VK7q6sr+vXrV+BV4GVVBpCJEBERERVqwQLN4aySMjBQo0uXE/D2PgEDgxczc1QqFfr27Qs3NzcoFIrSP4iWmAgRERFRoXJ6ggwMADu7kh3D2Pg5fHy2oHbtu1Kbo6Mj/P39YW1trYMoS4aJEBERERWLnR1w927R2+VHrTbBhg0GuH0bUCgU8Pb2RpcuXWBgIG9Jw0pVUJGIiIgqJwMDA/j7+8POzg6vv/46vL29ZU+CAPYIERERVRm6nNSc24MH2u8TExMDIyMj2Oe6BKx69eqYOHGiLHOBCsJEiIiIqIrQ1aTmglhYFL1NdnY2jh07hlOnTsHa2hqTJk2CsbGxdH9FSoIAJkJERERVhi4mNRekOPV84uLiEBgYiAf/60KKj4/H33//jU6dOuk2GB1iIkRERFRJvTwUljOEVZpJzSUhhMC5c+dw8OBBZGVlAXgxJ6hHjx7w8vIqv0BKgIkQERFRJVXQUFhxhrB0JSUlBXv27EFkZKTUZmNjg4CAANjpuluqDDARIiIiqqTyGwor6yUpcouKikJwcDCSk5OlNg8PD/j4+MDIyKh8giglJkJERETlTFdXd8k1FAYAycnJ2LZtmzQUZmZmhoEDB6Jp06blG0gpMREiIiIqZ7q+uqs8h8JymJubo2fPnjh06BCcnZ3h5+cHc3Pz8g+klJgIERERlUBpenVyenJ0cXVXeQ2FCSGgVquhVCqltvbt28PS0hLNmjWrcJfFFxcTISIiohLQRa9OkybA1au6iacsJSUlITg4GLVr10bv3r2ldoVCgebNm8sYWekxESIiIiqB0tbsKc9JzaURERGB3bt3IzU1FdHR0WjUqBEaNGggd1g6w0SIiIioFOSYqFweMjIycPjwYYSFhUltlXEOUFGYCBEREZGG+/fvIzAwEE+ePJHamjZtioEDB8LMzEzGyHSPiRAREREBANRqNU6fPo1jx45BrVYDAIyMjODj44M2bdpU2gnRhWEiREREVEy5rxQryYrsFdnz58+xfft2xMTESG12dnYICAiAjY2NfIGVMSZCRERExZTflWJy1PApC8bGxsjIyJBud+7cGd26ddO4XL4qYiJERERUTC9fKVZZrvwqDqVSicGDB2Pr1q3o168fnJyc5A6pXDARIiIi0lJVuFLszp07MDIyQp06daQ2GxsbTJ06tUrOBSqIgdwBEBERUflRq9U4fvw41q1bh507dyIzM1Pjfn1KggAmQkRERHojPj4e69atw++//w4hBOLi4nD27Fm5w5IVh8aIiIiqOCEELl68iP3790sTohUKBby9vdGhQweZo5MXEyEiIqIqLDU1Ffv27cPly5elNmtrawwePBgODg4yRlYxMBEiIiL6n6JWlK9stYNiYmIQFBSExMREqc3d3R2+vr4wNjaWMbKKg4kQERHR/xR3RfnKUDsoKSkJP//8M7KzswEAJiYm6N+/P1xdXWWOrGJhIkRERPQ/xVlRvrLUDrKwsIC3tzeOHj0KJycn+Pv7w9LSUu6wKhwmQkREpFcKG/7KGfqqjHWChBAQQsDA4N8Lwjt16gRLS0u4ubnp3WXxxcVEiIiI9Epxhr8qw9BXbikpKdizZw/q1KmDbt26Se0GBgZo1aqVfIFVAkyEiIhIrxQ1/FVZhr5yREVFITg4GMnJybh27RqcnZ3h6Ogod1iVBhMhIiLSS5Vx+Cu3rKwshISEIDQ0VGozNTXVWDiVisZEiIiIqJKJjY1FYGAgHj16JLU5OzvDz88P5ubmMkZW+TARIiKiSq+o+j+5VbZaQLkJIRAaGoqQkBDpsnilUonevXvD09OTE6JLgIkQERFVesWt/5NbZZsQ/fz5cwQGBiI6Olpqs7W1RUBAAGxtbWWMrHJjIkRERJVecer/5FbZJkQDgEqlQlKuLq8OHTqgZ8+eMDTkR3lp8NUjIqJyo80QljYqc/2f4jI0NMTgwYOxdetW9O/fH87OznKHVCUohBBC7iDKU2JiIqysrJCQkMAKm0RE5axZM+2HsLTh4gJcvVp2xy9P9+/fh0qlQs2aNTXa1Wq1RtFEfVFWn9/sESIiojLzcg9QTs9NcYewtFEZh7vyo1arcfr0aRw7dgy2traYMGGCxvCXPiZBZYmJEBERlZmCJjE3aVJ1em50KSEhAUFBQbh16xYA4OHDhzh79iw6duwoc2RVFxMhIiIqM/lNYq4qPTe6dvnyZezduxdpaWlSW+fOneHp6SljVFUfEyEiIipzVXkSc2mlp6fjwIEDCA8Pl9osLS3h7+8PJycn+QLTE0yEiIiIZHLnzh0EBQUhPj5eanN1dUW/fv1gamoqY2T6g4kQERGRDBITE7FhwwapQrRKpULfvn3h5ubGCtHliIkQERGVeX0fysvS0hIdO3bEyZMn4ejoCH9/f1hbW8sdlt5hIkRERCVaokIblW05i7KQU7Yvd29Pt27dYGVlhTZt2vCyeJkwESIiIq2XqNAGrxIDUlNTsW/fPtStWxdeXl5Su1KpRNu2bWWMjJgIERHpqdzDYfqwRIVcYmJiEBQUhMTERFy9ehUNGjSAna6zTSoxJkJERHoqv+EwDmHpTnZ2No4dO4ZTp05JbSqVCsnJyTJGRS9jIkREVEUVNQH65eUuOISlO3FxcQgMDMSDXLPFnZyc4O/vz3UuKxgmQkREVVRxJ0BzuQvdEUIgLCwMhw4dQlZWFoAXa4P16NEDXl5evCy+AmIiRERURRVnAjR7gXQnNTUVwcHBiIyMlNpsbGwQEBDAOUEVGBMhIqIqhBOg5aNUKhEXFyfdbtu2Lfr06QMjIyMZo6KisGgBEVEVkjMcdu8eoFa/aOME6PKhUqkwePBgWFhYYMSIEejXrx+ToEqAPUJERFXIy8NhHPoqO7GxsVCpVBrVoOvWrYu3334bhob8eK0seKaIiCqR4l4JxuGwsiOEQGhoKEJCQmBnZ4fx48drVIVmElS58GwREVUixb0SjMNhZSMpKQnBwcGIjo4GANy9exdnz55F+/btZY6MSkr2OULfffcdnJycYGJigvbt2+Ovv/4qdPuVK1eiadOmMDU1haOjI2bOnIm0tLRyipaIqPxt3w40awY4OADXrr1oMzAA7O3z/3Fx4XBYWYiIiMD3338vJUEA0KFDB3h4eMgYFZWWrD1C27Ztw6xZs7Bq1Sq0b98eK1euhI+PDyIjI2Fra5tn+19++QVz5szB2rVr4eXlhWvXruG1116DQqHA8uXLZXgGRERlL79eINb+KT8ZGRk4fPgwwsLCpDZzc3P4+fnB2dlZxshIF2RNhJYvX46JEydi/PjxAIBVq1Zh3759WLt2LebMmZNn+9OnT6NTp04YNWoUgBdVOkeOHInQ0NByjZuIqDxxArR87t+/j8DAQDx58kRqc3FxwYABA2BmZiZjZKQrsiVCGRkZCAsLw9y5c6U2AwMD9OrVC2fOnMl3Hy8vL/z888/466+/4OnpiRs3bmD//v0YM2ZMgY+Tnp6O9PR06XZiYqLungQRUS5FTWQuKU6AlkdCQgLWrl2L7OxsAICRkRF8fX3RunVrVoiuQmRLhOLi4pCdnY3atWtrtNeuXRsRBcwEHDVqFOLi4tC5c2cIIZCVlYXJkyfj/fffL/Bxli5dikWLFuk0diKi/BR3InNJcQJ0+bKyskLbtm0RGhoKOzs7BAQEwMbGRu6wSMcq1VVjx48fx5IlS/Df//4X7du3R1RUFGbMmIGPP/4Y8+fPz3efuXPnYtasWdLtxMREODo6llfIRKRHirOkRUlxOKx8CCE0ent69eoFKysreHp6QqlUyhgZlRXZEqGaNWtCqVQiNjZWoz02NhZ16tTJd5/58+djzJgxeOONNwAALVu2REpKCt58803MmzdPo45DDmNjYxgbG+v+CRCR3nt5KIxDWJVXeno6Dhw4AHt7e7Rr105qNzQ0RMeOHWWMjMqabJfPq1QqeHh44MiRI1KbWq3GkSNHCnzTPX/+PE+yk5OhCyHKLlgionzkXs6CS1pUXnfu3MGqVasQHh6Ow4cP4/Hjx3KHROVI1qGxWbNmYdy4cWjbti08PT2xcuVKpKSkSFeRjR07Fvb29li6dCkAYMCAAVi+fDlat24tDY3Nnz8fAwYMYJclEZW7/IbCOIRVeajVapw4cQInTpyQvkwbGBggPj4etWrVkjk6Ki+yJkLDhw/H48ePsWDBAjx8+BDu7u44ePCgNIH69u3bGj1AH3zwARQKBT744APcu3cPtWrVwoABA7B48WK5ngIREYfCKqH4+HgEBgbibq4T5+joCH9/f421w6jqUwg9G1NKTEyElZUVEhISYGlpKXc4RFSJOTi8GBKzt2ciVFkIIRAeHo4DBw4gIyMDAKBQKODt7Y0uXbrkO9eUKoay+vyuVFeNERERlVRaWhr27t2Ly5cvS23W1tYYPHgwHBwcZIyM5MREiIiI9EbuoTB3d3f4+vryymI9xz5AIiLSCyYmJvD394eZmRmGDBmCQYMGMQki9ggRERWkqCUzcuoGUcUUFxcHlUqlMZ+kfv36mDFjBlQqlYyRUUXCRIiIqADFXTKDdYMqFiEEwsLCcOjQITg4OGDs2LEa1aKZBFFuTISIiApQnCUzWDeoYklJScGePXsQGRkJAIiJiUFYWBjatm0rc2RUUTERIiIqAusEVQ5RUVEIDg5GcnKy1Obh4YFWrVrJGBVVdEyEiIioUsvKykJISAhCQ0OlNjMzMwwcOBBNmzaVMTKqDJgIERFRpRUbG4vAwEA8evRIanN2doafnx/Mzc1ljIwqCyZCRERUKT179gxr1qxBdnY2gBeLcPfu3Ruenp4ak6OJCsNEiIiIKqXq1aujVatWOHfuHGxtbREQEABbW1u5w6JKhokQEVEuuWsHsU5Qxefj4wMrKyt4eXnB0JAfaaQ9vmuIiHLJr3YQ6wTJLyMjA4cPH4aDgwPc3d2ldpVKha5du8oXGFV6TISIiHJ5uXYQ6wTJ7/79+wgMDMSTJ09w6dIl1KtXDzVq1JA7LKoimAgREeWDtYPkp1arcfr0aRw7dgxqtRrAi6rRjx49YiJEOsNEiIiIKpyEhAQEBQXh1q1bUpudnR0CAgJgY2MjY2RU1TARIiKiCuXy5cvYu3cv0tLSpLbOnTujW7duUCqVMkZGVRETISIiqhDS09Nx4MABhIeHS22Wlpbw9/eHk5OTfIFRlcZEiIiIKoTs7GxER0dLt11dXdGvXz+YmprKGBVVdUyEiKjKyV0LSFusHSQfMzMz+Pn5Yfv27XjllVfg5ubGCtFU5hRCCCF3EOUpMTERVlZWSEhIgKWlpdzhEFEZaNYsby0gbbm4AFev6iYeyl98fDyMjIzyrAmWlpYGExMTmaKiiqqsPr/ZI0REVc7LtYC0xdpBZUsIgfDwcBw4cAD169fHyJEjNXp+mARReWIiRERVFmsBVTypqanYt28fLl++DAC4fv06Lly4gNatW8scGekrJkJERFQuYmJiEBQUhMTERKnN3d0dzZs3lzEq0ndMhIiIqExlZ2fj2LFjOHXqlNRmYmKC/v37w9XVVcbIiJgIEVEV8PJVYrzyq+KIi4tDYGAgHuQ6KU5OTvD39+cFK1QhMBEiokovvxXjAa4aL7f4+HisXr0aWVlZAAADAwP06NEDXl5evCyeKgwmQkRUKeXuBcrpbMh9lRiv/JKftbU1mjVrhkuXLsHGxgYBAQGwK8llfERliIkQEVVK+fUCNWnC2j8VTd++fWFlZYWuXbvCyMhI7nCI8jAozc65F8QjIipPuWsF2du/KIDIHiD5ZGVl4eDBg9Jl8TlMTEzQs2dPJkFUYWmdCKnVanz88cewt7eHubk5bty4AQCYP38+fvrpJ50HSERUmJxaQVevAkOGyB2NfoqNjcWaNWsQGhqKvXv3IiEhQe6QiIpN60Tok08+wfr16/H5559DpVJJ7S1atMCPP/6o0+CIiKjiEkLgzz//xJo1a/Do0SMAQGZmJu7fvy9zZETFp/UcoY0bN+KHH35Az549MXnyZKm9VatWiCjt4j5ERFQpJCUlITg4WGO1eFtbWwQEBMDW1lbGyIi0o3UidO/ePTRq1ChPu1qtRmZmpk6CIiKiiisiIgJ79uzB8+fPpbYOHTqgZ8+eMDTkNThUuWj9jm3evDn++OMP1K9fX6N9x44dXCuGiKgKy8jIwOHDhxEWFia1mZubw8/PD87OzjJGRlRyWidCCxYswLhx43Dv3j2o1WoEBgYiMjISGzduxN69e8siRiLSQy9Xi34Zq0eXv/T0dFzNVZ/AxcUFAwYMgJmZmYxREZWOQgghtN3pjz/+wEcffYTw8HAkJyejTZs2WLBgAfr06VMWMepUYmIirKyskJCQwPLuRBVYs2b5V4t+mYsLaweVp4iICAQGBsLX1xetW7dmhWgqN2X1+V2iRKgyYyJEVDk4OAD37mlWi35ZTvVoXjZfNhISEqBSqWBqaqrRnpKSgmrVqskUFemrsvr81nporGHDhjh79ixsbGw02p89e4Y2bdpIdYWIiHQhp04Qla/Lly9j7969aNiwIYYMGaLR88MkiKoSrROhmJgYZGdn52lPT0/HvXv3dBIUERHJIz09HQcOHEB4eDgA4MqVK7h06RLc3NxkjoyobBQ7Edq9e7f0/0OHDsHKykq6nZ2djSNHjsDJyUmnwRERUfm5c+cOAgMD8ezZM6nN1dUVjRs3li8oojJW7ETIz88PAKBQKDBu3DiN+4yMjODk5IRly5bpNDgiIip7arUaJ06cwIkTJ5AzbVSlUqFv375wc3PjhGiq0oqdCKnVagBAgwYNcPbsWdSsWbPMgiIiovIRHx+PwMBA3M01EcvR0RH+/v6wtraWMTKi8qH1HKGbN2+WRRxERFTOnj59itWrVyMjIwPAix5/b29vdOnSBQYGWi9FSVQplagWekpKCn7//Xfcvn1b+gXK8fbbb+skMCIiKlvW1tZo2LAhIiIiYG1tjcGDB8PBwUHusIjKldaJ0Pnz59G3b188f/4cKSkpqFGjBuLi4mBmZgZbW1smQkRElYRCocCAAQNgZWWF7t27w9jYWO6QiMqd1n2fM2fOxIABAxAfHw9TU1P8+eefuHXrFjw8PPDll1+WRYxEpCe2b39RUdrBgUto6Fp2djZCQkJw7do1jXYzMzP4+voyCSK9pXUidOHCBfznP/+BgYEBlEol0tPT4ejoiM8//xzvv/9+WcRIRHpiwYIXy2rcuwf87/oMWFjIG1NVEBcXh59++gmnTp3C7t27kZycLHdIRBWG1omQkZGRNInO1tYWt2/fBgBYWVnhzp07uo2OiPRKzgKrBgaAvf2LdcQ+/ljemCozIQT+/vtvrF69Gg/+18WWmprKv9VEuWg9R6h169Y4e/YsGjduDG9vbyxYsABxcXHYtGkTWrRoURYxEpGe4bIapZeSkoI9e/YgMjJSarOxsUFAQADsClq8jUgPaZ0ILVmyBEn/+9q2ePFijB07FlOmTEHjxo3x008/6TxAIiLSTlRUFIKDgzWGwNq2bYs+ffrAyMhIxsiIKh6tE6G2bdtK/7e1tcXBgwd1GhAREZVMVlYWQkJCEBoaKrWZmZlh4MCBaNq0qYyREVVcOquYde7cOfTv319XhyOiKij3VWH5/fBKsdJJSUnBhQsXpNuNGjXClClTmAQRFUKrHqFDhw7ht99+g0qlwhtvvCEV4pozZw727NkDHx+fsoqTiKqAnKvCisIrxUrGysoK/fr1Q3BwMHr37g1PT0+uE0ZUhGInQj/99BMmTpyIGjVqID4+Hj/++COWL1+Ot956C8OHD8c///yDZs2alWWsRFTJ5b4qrKD5uhYWvFKsuJKSkqBSqTRqALVs2RL16tWDlZWVjJERVR7FToS++uorfPbZZ3jnnXewc+dODB06FP/9739x6dIllmQnIq3wqrDSi4iIwJ49e9C4cWP4+flp3MckiKj4ip0IRUdHY+jQoQCAwYMHw9DQEF988QWTICKicpSRkYHDhw8jLCwMABAeHo4mTZqgefPmMkdGVDkVOxFKTU2FmZkZgBfr0xgbG7MWBRHlsX37i7lAOcNguXEydOncv38fgYGBePLkidTm4uICJycn+YIiquS0miz9448/wtzcHMCLyzTXr1+PmjVramzDRVeJ9FtxJkRzMrR21Go1Tp8+jWPHjkH9v7VHjIyM4Ovri9atW3NCNFEpKIQQojgbOjk5FfnLplAocOPGDa0C+O677/DFF1/g4cOHaNWqFb755ht4enoWuP2zZ88wb948BAYG4unTp6hfvz5WrlyJvn37FuvxEhMTYWVlhYSEBFhaWmoVKxEVzcHhxVphBU2IzpkMPWRI+cdWGSUkJCAoKAi3bt2S2uzs7BAQEAAbGxsZIyMqX2X1+V3sHqGYmBidPWiObdu2YdasWVi1ahXat2+PlStXwsfHB5GRkbC1tc2zfUZGBnr37g1bW1vs2LED9vb2uHXrFqpXr67z2IiodDghuvSePHmCH3/8EWlpaVJb586d0a1bNyiVShkjI6o6tK4srUvLly/HxIkTMX78eADAqlWrsG/fPqxduxZz5szJs/3atWvx9OlTnD59WioTz7FxIqqqatSoAXt7e0RHR8PS0hL+/v78m0ekYzqrLK2tjIwMhIWFoVevXv8GY2CAXr164cyZM/nus3v3bnTs2BHTpk1D7dq10aJFCyxZsgTZ2dnlFTYRUblRKBQYNGgQ2rRpg8mTJzMJIioDsvUIxcXFITs7G7Vr19Zor127NiIKmGl548YNHD16FKNHj8b+/fsRFRWFqVOnIjMzEwsXLsx3n/T0dKSnp0u3ExMTdfckiIh0RK1W48SJE6hfvz4aNGggtVtYWGDAgAEyRkZUtcnWI1QSarUatra2+OGHH+Dh4YHhw4dj3rx5WLVqVYH7LF26FFZWVtKPo6NjOUZMRFS0+Ph4rFu3Dr///juCgoKQmpoqd0hEekO2RKhmzZpQKpWIjY3VaI+NjUWdOnXy3cfOzg5NmjTRmCTYrFkzPHz4EBkZGfnuM3fuXCQkJEg/d+7c0d2TIKI8C6myVlDxCSEQHh6OVatW4e7/ZpYnJyfj5s2bMkdGpD9KlAhFR0fjgw8+wMiRI/Ho0SMAwIEDB3D58uViH0OlUsHDwwNHjhyR2tRqNY4cOYKOHTvmu0+nTp0QFRUl1dEAgGvXrsHOzg4qlSrffYyNjWFpaanxQ0S6k1M36N69Fz85v56sFVS41NRU7Ny5E7t27ZK+yFlbW+P1119nlWiicqR1IvT777+jZcuWCA0NRWBgIJKTkwG8KPNe0DydgsyaNQtr1qzBhg0bcPXqVUyZMgUpKSnSVWRjx47F3Llzpe2nTJmCp0+fYsaMGbh27Rr27duHJUuWYNq0ado+DSLSkdwLqdrbv/hxceHCqYWJiYnBqlWrNL48uru7Y9KkSVy2iKicaT1Zes6cOfjkk08wa9YsWOT6ytejRw98++23Wh1r+PDhePz4MRYsWICHDx/C3d0dBw8elCZQ3759GwYG/+Zqjo6OOHToEGbOnAk3NzfY29tjxowZeO+997R9GkRUiMKWyXhZzlAY6wYVLTs7G8eOHcOpU6ekNhMTE/Tv3x+urq4yRkakv4pdWTqHubk5Ll26hAYNGsDCwgLh4eFo2LAhYmJi4OLiolH4qyJiZWmiojVrVvQyGS9zcQGuXi2beKqK+Ph4fP/998jMzATwog6an58fV4snKgbZK0vnqF69Oh48eKBxeScAnD9/Hvb29joLjIjkk3u4qzhrK+csm0GFs7a2hq+vL/bt24cePXrAy8uL64QRyUzrRGjEiBF47733sH37digUCqjVapw6dQqzZ8/G2LFjyyJGIpIJh7tK5/nz5zAyMpIq4QNA69at4eTkhBo1asgYGRHl0Hqy9JIlS+Di4gJHR0ckJyejefPm6Nq1K7y8vPDBBx+URYxERJVOVFQUvv/+exw+fFijXaFQMAkiqkC0niOU4/bt2/jnn3+QnJyM1q1bo3HjxrqOrUxwjhBR0XJWkLe3Z4+QtrKyshASEoLQ0FCpbeTIkWjSpImMURFVfhVmjtDJkyfRuXNn1KtXD/Xq1dNZIERElV1sbCwCAwOl+moA0KhRI9StW1fGqIioMFonQj169IC9vT1GjhyJV199lYW/iEjvCSEQGhqKkJAQaRFopVKJ3r17w9PTkxOiiSowrROh+/fvY+vWrdiyZQs+/fRTuLm5YfTo0Rg5ciQLgRFVYCWpDURFS0pKQnBwMKKjo6U2W1tbBAQEwNbWVsbIiKg4SjxHCABu3ryJX375BVu2bEFERAS6du2Ko0eP6jI+neMcIdJXrA2ke3FxcVi3bh2eP38utXXo0AE9e/aEoaHW3zOJqBAVZo5Qbg0aNMCcOXPQqlUrzJ8/H7///ruu4iIiHWNtIN2rUaMGatWqhVu3bsHc3Bx+fn5wdnaWOywi0kKJE6FTp05h8+bN2LFjB9LS0jBo0CAsXbpUl7ERURlgbSDdMTAwgL+/P44ePQofHx+YmZnJHRIRaUnrRGju3LnYunUr7t+/j969e+Orr77CoEGD+AeAiKo0tVqN06dPo379+nB0dJTarays4O/vL2NkRFQaWidCJ06cwDvvvINhw4ahZs2aZRETEZVQYROiOQG65BISEhAUFIRbt26hevXqmDx5MoyNjeUOi4h0QOtEKPeqyURUsSxYUPSEaAuL8omlqrh8+TL27t0rLSj97NkzREdHs3QIURVRrERo9+7deOWVV2BkZITdu3cXuu3AgQN1EhgRaa+oCdGcAF186enpOHDgAMLDw6U2S0tL+Pv7w8nJSb7AiEininX5vIGBAR4+fAhbW1sYGBS8PJlCoZCKiVVUvHyeKhtt6/+o1Vwao7Tu3LmDoKAgxMfHS22urq7o168fTE1NZYyMSH/Jevm8Wq3O9/9EVPaKM9z1Mg5/lYxarcaJEydw4sQJ5HxHVKlU6Nu3L9zc3FghmqgK0nqO0MaNGzF8+PA8EwUzMjKwdetWjB07VmfBERHr/5Snp0+f4uTJk1IS5OjoCH9/f1hbW8scGRGVFa0rSyuVSjx48CBP6fgnT57A1taWQ2NEJVDU1V4c7io/oaGhOHToELy9vdGlS5dCpwMQUfmpMJWlhRD5dg/fvXsXVlZWOgmKSN/wai95pKamwsjISGM5DE9PTzRo0IDrhBHpiWInQq1bt4ZCoYBCocizjk52djZu3rwJX1/fMgmSqKrj1V7lLyYmBkFBQXB1dUWfPn2kdoVCwSSISI8UOxHy8/MDAFy4cAE+Pj4wNzeX7lOpVHByckJAQIDOAySqqLS5mqsoOcUOufxF2cvOzsaxY8ekmmhnzpxBo0aN0LBhQ5kjIyI5FDsRWrhwIQDAyckJw4cPh4mJSZkFRVQZlORqrqJw+KtsxcXFITAwEA9yldl2cnJilXwiPab1HKFx48aVRRxElY62V3MVhcNfZUcIgbCwMBw6dAhZWVkAXtRH69GjB7y8vHhZPJEeK1YiVKNGDVy7dg01a9aEtbV1oX80nj59qrPgiCoDDmdVbCkpKdizZw8iIyOlNhsbGwQEBMBOFxksEVVqxUqEVqxYAYv/9dmvWLGC356IqFKIi4vDhg0bkJycLLW1bdsWffr0gZGRkYyREVFFUaxEKPdw2GuvvVZWsRAR6ZS1tTUsLS2RnJwMMzMzDBw4EE2bNpU7LCKqQLSuFHbu3DlcunRJuh0cHAw/Pz+8//77yMjI0GlwRESloVQqMXjwYDRr1gxTpkxhEkREeWidCE2aNAnXrl0DANy4cQPDhw+HmZkZtm/fjnfffVfnARIRFYcQAqGhoRpXhAEv5gMNGzZMo+QHEVEOrROha9euwd3dHQCwfft2eHt745dffsH69euxc+dOXcdHVKFs3w40awY4OPxb+4fkl5SUhM2bN+PgwYMIDAxEZmam3CERUSVRoiU2clagDwkJQf/+/QG8WJwwLi5Ot9ERVTD51Q5i7R95RUREYM+ePXj+/DmAFxOkr1+/jubNm8scGRFVBlonQm3btsUnn3yCXr164ffff8f3338PALh58yZq166t8wCJKpKXawex9o98MjIycPjwYYSFhUlt5ubm8PPzg7Ozs4yREVFlonUitHLlSowePRq7du3CvHnz0KhRIwDAjh074OXlpfMAiSoi1g6S1/379xEYGIgnT55IbS4uLhgwYADMzMxkjIyIKhuFEELo4kBpaWlQKpUVvjZHYmIirKyskJCQAEtLS7nDoUrGwQG4dw+wt2ciJAe1Wo3Tp0/j2LFj0hC9kZERfHx80KZNG9Y4I6rCyurzW+seoRxhYWG4evUqAKB58+Zo06aNzoIikktRC6lygrS84uLiNJIgOzs7BAQEwMbGRubIiKiy0joRevToEYYPH47ff/8d1atXBwA8e/YM3bt3x9atW1GrVi1dx0hUboq7kConSMvD1tYW3bt3x5EjR9C5c2d069YNSqVS7rCIqBLTOhF66623kJycjMuXL6NZs2YAgCtXrmDcuHF4++23sWXLFp0HSVReirOQKidIl5/09HQYGRnBwODfSh9eXl5o2LAh6tatK2NkRFRVaD1HyMrKCiEhIWjXrp1G+19//YU+ffrg2bNnuoxP5zhHiF6WezjswQNAreYcoIrgzp07CAoKgpubG7p16yZ3OEQkswozR0itVuc7IdrIyEgatyeqTFgbqGJRq9U4ceIETpw4ASEETpw4AWdnZzg6OsodGhFVQVpXlu7RowdmzJiB+/fvS2337t3DzJkz0bNnT50GR1Qecg+H2dsDLi4c+pJLfHw81q1bh99//x05ndUODg5cHoOIyozWPULffvstBg4cCCcnJ+kb2p07d9CiRQv8/PPPOg+QqLywNpB8hBC4ePEi9u/fLy3erFAo4O3tjS5dumjMESIi0iWtEyFHR0ecO3cOR44ckS6fb9asGXr16qXz4Iio6ktNTcW+fftw+fJlqc3a2hqDBw+Gg4ODjJERkT7QKhHatm0bdu/ejYyMDPTs2RNvvfVWWcVFVCpF1QPKjbWB5BMXF4dNmzYhMTFRanN3d4evry+MjY1ljIyI9EWxE6Hvv/8e06ZNQ+PGjWFqaorAwEBER0fjiy++KMv4iEqkuPWAcuME6fJXvXp1mJiYIDExESYmJujfvz9cXV3lDouI9EixL593dXXFsGHDsHDhQgDAzz//jEmTJiElJaVMA9Q1Xj6vH3KWwiisHlBuObWBhgwp+9hI06NHjxASEoL+/fvzd5KIClRWn9/FToRMTU1x9epVODk5AXhxiaupqSliYmJgV5xPmgqCiVDVUJylMFgPqGIRQuDcuXOoV68eK9ATkdZkryOUnp6OatWqSbcNDAygUqmQmpqqs2CIiotLYVQuKSkp2LNnDyIjI1G7dm288cYbMDQs8VKHREQ6o9Vfovnz58PMzEy6nZGRgcWLF8PKykpqW758ue6iIyoAl8KoPKKiohAcHIzk5GQAQGxsLK5du4bmzZvLHBkRkRaJUNeuXREZGanR5uXlhRs3bki3FQqF7iIjKgbW/qm4srKyEBISgtDQUKnNzMwMAwcORNOmTWWMjIjoX8VOhI4fP16GYRBRVRIbG4vAwEA8evRIanN2doafnx+rRBNRhcJBeqo0Xl4clSoeIQRCQ0MREhKC7OxsAIBSqUTv3r3h6enJXmMiqnCYCFGlwcVRK77Y2FgcPnxYWifM1tYWAQEBsLW1lTkyIqL8MRGiSuPlCdKcDF3x1KlTB507d8Yff/yBDh06oGfPnrw6jIgqNP6FokqHE6QrjszMTBgaGmoMeXl7e8PZ2Rn169eXMTIiouLhks5EVCL379/H6tWrcfr0aY12pVLJJIiIKo0SJUJ//PEHXn31VXTs2BH37t0DAGzatAknT57UaXBEVPGo1WqcPHkSP/30E548eYKjR4/iAWevE1ElpXUitHPnTvj4+MDU1BTnz59Heno6ACAhIQFLlizReYCkP7ZvB5o1e7FOWH4//KyVX0JCAjZu3IgjR45ArVYDAGrXrg2VSiVzZEREJaP1HKFPPvkEq1atwtixY7F161apvVOnTvjkk090GhzpFy6bUbFdvnwZe/fuRVpamtTWuXNndOvWDUqlUsbIiIhKTutEKDIyEl27ds3TbmVlhWfPnukiJtJTXDajYkpPT8eBAwcQHh4utVlaWsLf319ahJmIqLLSOhGqU6cOoqKi8vwBPHnyJBo2bKiruEiP8aqwiiMuLg6//PIL4uPjpTZXV1f0798fJiYmMkZGRKQbWidCEydOxIwZM7B27VooFArcv38fZ86cwezZszF//vyyiJGIZGJpaQkDgxdTCVUqFfr27Qs3NzdWiCaiKkPrydJz5szBqFGj0LNnTyQnJ6Nr16544403MGnSJLz11lslCuK7776Dk5MTTExM0L59e/z111/F2m/r1q1QKBTw8/Mr0eOSvF6eHM3J0BWPSqXC4MGD4eTkhMmTJ6NVq1ZMgoioSlGInFr4WsrIyEBUVBSSk5PRvHnzEi+kuG3bNowdOxarVq1C+/btsXLlSmzfvh2RkZGFluWPiYlB586d0bBhQ9SoUQO7du0q1uMlJibCysoKCQkJsLS0LFHMpBvNmuU/OdrFBbh6tfzj0XdCCFy8eBGOjo6oUaNGnvuYABGRnMrq87vEBRVVKhWaN28OT0/PUq0mvXz5ckycOBHjx49H8+bNsWrVKpiZmWHt2rUF7pOdnY3Ro0dj0aJFnJdUieWeHG1v/+LHxYWToeWQmpqKnTt3YteuXQgMDJQWTM3BJIiIqiqt5wh179690D+KR48eLfaxMjIyEBYWhrlz50ptBgYG6NWrF86cOVPgfh999BFsbW0xYcIE/PHHH4U+Rnp6ulTrCHiRUZJ88ltBnpOj5RUTE4OgoCDpd+PevXu4du0amjVrJnNkRERlT+tEyN3dXeN2ZmYmLly4gH/++Qfjxo3T6lhxcXHIzs5G7dq1Ndpr166NiAIKyuRUtL1w4UKxHmPp0qVYtGiRVnFR2eEK8hVHdnY2jh07hlOnTkltJiYmGDBgAJMgItIbWidCK1asyLf9ww8/RHJycqkDKkxSUhLGjBmDNWvWoGbNmsXaZ+7cuZg1a5Z0OzExEY6OjmUVIhWBK8hXDHFxcQgMDNRYGsPJyQn+/v6cO0dEekVnq8+/+uqr8PT0xJdfflnsfWrWrAmlUonY2FiN9tjYWNSpUyfP9tHR0YiJicGAAQOktpwy/4aGhoiMjISzs7PGPsbGxjA2NtbmqZAO5R4KAzgcJjchBMLCwnDo0CFkZWUBeDEc3aNHD3h5eXEuEBHpHZ0lQmfOnNG6wJpKpYKHhweOHDkiXQKvVqtx5MgRTJ8+Pc/2Li4uuHTpkkbbBx98gKSkJHz11Vfs6amAClo2g8Nh8nj48CH27dsn3baxsUFAQADsCirlTURUxWmdCA0ePFjjthACDx48wN9//12igoqzZs3CuHHj0LZtW3h6emLlypVISUnB+PHjAQBjx46Fvb09li5dChMTE7Ro0UJj/+rVqwNAnnaqGPJbNoPDYfKxs7NDhw4d8Oeff6Jt27bo06cPjIyM5A6LiEg2WidCVlZWGrcNDAzQtGlTfPTRR+jTp4/WAQwfPhyPHz/GggUL8PDhQ7i7u+PgwYPSBOrbt29LlW2p8uJQmDyysrKgVCo1hrx69uyJRo0a5RlGJiLSR1oVVMzOzsapU6fQsmVLWFtbl2VcZYYFFcuXgwNw796LGkFMhMpXbGwsAgMD0bZtW7Rr107ucIiISqVCFFRUKpXo06cPV5mnAnHZDPkJIfDnn39izZo1ePToEQ4fPozHjx/LHRYRUYWk9dBYixYtcOPGDTRo0KAs4qFKjpOj5ZWUlITg4GBER0dLbS8vl0FERP/SOhH65JNPMHv2bHz88cfw8PBAtWrVNO7ncJN+4+Ro+URERGDPnj14/vy51NahQwf07NkThoY6u0CUiKhKKfYcoY8++gj/+c9/YJHrq33uCZg5izK+vEZRRcM5QqX3cm2g3B48ANRqzgkqTxkZGTh8+DDCwsKkNnNzc/j5+XFCNBFVGWX1+V3sREipVOLBgwe4WsSy4N7e3joJrKwwESq9glaNz40ryJePJ0+eYMuWLXjy5InU5uLiggEDBsDMzEzGyIiIdKusPr+L3V+eky9V9ESHdKOoXh9Ac/grNw6FlZ9q1apJvbBGRkbw9fVF69atWSGaiKiYtJo4wD+u+qOgSc+5NWnCXh+5mZiYwN/fH4cPH4a/vz9sbGzkDomIqFLRKhFq0qRJkcnQ06dPSxUQVQz5TXrOjb0+8rh8+TIcHBw0CpvWq1cPEyZM4BcVIqIS0CoRWrRoUZ7K0lS1sSJ0xZCeno4DBw4gPDwcTk5OGDNmjEbFdSZBREQlo1UiNGLECNja2pZVLESUjzt37iAoKAjx8fEAgJiYGFy7dg0uLi4yR0ZEVPkVOxHiN06i8qVWq3HixAmcOHFCulhBpVKhb9++aNq0qczRERFVDVpfNUZEZS8+Ph6BgYG4m2tc0tHREf7+/pV2nT8iooqo2ImQWq0uyziICC++cFy8eBH79+9HRkYGgBe9sd7e3ujSpYvGvCAiIio91t0nqkDu37+PXbt2Sbetra0xePBgODg4yBcUEVEVxkSoCiusKGJRuGq8POzt7eHh4YGwsDC4u7vD19cXxsbGcodFRFRlMRGqwopTFLEoXDW+bGVnZ8PAwEDjYoQ+ffqgcePGnBBNRFQOmAhVYUUVRSwKiyaWrbi4OAQGBsLT0xPu7u5Su0qlYhJERFROmAjpARZFrFiEEAgLC8OhQ4eQlZWFAwcOoF69eqhRo4bcoRER6R0mQkTlKCUlBXv27EFkZKTUZmFhgczMTBmjIiLSX0yEqpCXJ0dzwnPFEhUVheDgYCQnJ0ttHh4e8PHxgZGRkYyRERHpLyZCVUhBk6M54VleWVlZCAkJQWhoqNRmZmaGgQMHci4QEZHMmAhVIflNjuaEZ3k9ffoU27Ztw6NHj6S2Ro0aYdCgQTA3N5cxMiIiApgIVUmcHF1xmJiYIDU1FQCgVCrRu3dveHp6cu0+IqIKgokQURkyMzPDoEGD8Ntvv2Hw4MGwtbWVOyQiIsqFiRCRDkVGRsLe3l5j2MvZ2RkNGjTgOmFERBUQ/zIT6UBGRgb27t2LrVu3Ijg4GEIIjfuZBBERVUzsESIqpfv37yMwMBBPnjwB8OIy+WvXrvGKMCKiSoCJEFEJqdVqnD59GseOHYNarQYAGBkZwdfXF02aNJE5OiIiKg4mQkQlkJCQgKCgINy6dUtqs7OzQ0BAAGxsbGSMjIiItMFEiEhL//zzD/bt24e0tDSprXPnzujWrRuUSqWMkRERkbaYCBFp4e7du9i5c6d029LSEv7+/nBycpIvKCIiKjEmQkRacHBwgJubGy5evAhXV1f069cPpqamcodFREQlxESIqBBCiDxVoPv27YvGjRvD1dWVFaKJiCo5Fjep5LZvB5o1AxwcuNq8rsXHx2Pt2rW4fPmyRruxsTFatGjBJIiIqApgj1All9+K81xtvnSEELh48SL2798vFUp0cHCAlZWV3KEREZGOMRGq5F5ecZ6rzZdOamoq9u3bp9ELZGpqitTUVCZCRERVEBOhKoIrzpdeTEwMgoKCkJiYKLW5u7vD19cXxsbGMkZGRERlhYkQ6b3s7GwcO3YMp06dktpMTEzQv39/uLq6yhgZERGVNSZCFdz27S/mAeUMgb2ME6RLJz4+Htu3b8eDXC+kk5MT/Pz8OBRGRKQHmAhVcPlNhs4PJ0iXjKGhIRISEgC8WCG+R48e8PLy4hVhRER6golQBffyZOj8cIJ0yVlYWGDgwIEICQnB4MGDYVfQi0xERFUSE6FKgpOhdePGjRuoU6cOzMzMpLamTZuiUaNGXCeMiEgPsaAi6YWsrCwcPHgQmzZtwt69eyGE0LifSRARkX5ij1AFUNiEaE6GLr3Y2FgEBgbi0aNHAICrV68iKioKjRs3ljkyIiKSGxOhCqA4E6I5GVp7QgiEhoYiJCQE2dnZAF70/PTu3RuNGjWSOToiIqoImAhVAEVNiOZkaO0lJSUhODgY0dHRUputrS0CAgJga2srY2RERFSRMBHSkaLq/RQmZ/iLE6J1IzIyErt378bz58+ltg4dOqBnz54wNORbnoiI/sVPBR0pbr2fwnD4q/Ru376NrVu3SrfNzc3h5+cHZ2dnGaMiIqKKiomQjhSn3k9hOPylG46OjnBxcUFERASaNm2KgQMHalwqT0RElBsToVLIPRzG4S15CCE0qkArFAoMGDAATZs2RatWrVghmoiICsU6QqWQMxx27x6gVr9o4/BW+UlISMDGjRtx7do1jXYzMzO4u7szCSIioiKxR6gUXh4O4/BW+bl8+TL27t2LtLQ0PHr0CFOmTIG5ubncYRERUSXDREgHOBxWftLT03HgwAGEh4dLbYaGhkhKSmIiREREWmMiRJXGnTt3EBgYiGfPnkltrq6u6NevH0xNTeULjIiIKi0mQlThqdVqnDhxAidOnJDWCFOpVOjbty/c3Nw4F4iIiEqMiRBVaM+ePcPOnTtxN9fYo6OjI/z9/WFtbS1jZEREVBUwEaIKTaFQ4PHjx9L/vb290aVLFxgY8IJHIiIqPSZCVKFZWVmhf//+OHr0KAYPHgwHBwe5QyIioiqEiRBVKLdu3UKdOnVgbGwstbVo0QIuLi5cJ4yIiHSuQowvfPfdd3BycoKJiQnat2+Pv/76q8Bt16xZgy5dusDa2hrW1tbo1atXodtT5ZCdnY2QkBCsX78eBw4cyHM/kyAiIioLsidC27Ztw6xZs7Bw4UKcO3cOrVq1go+PDx49epTv9sePH8fIkSNx7NgxnDlzBo6OjujTpw/u3btXzpGTrsTFxeGnn37CqVOnAADh4eGIjo6WOSoiItIHCpFzPbJM2rdvj3bt2uHbb78F8OJSaUdHR7z11luYM2dOkftnZ2fD2toa3377LcaOHVvk9omJibCyskJCQgIsLS1LFbuDw4vlNeztWVCxJIQQCAsLw6FDh5CVlQUAMDAwQI8ePeDl5cXL4omISKLLz+/cZB1vyMjIQFhYGObOnSu1GRgYoFevXjhz5kyxjvH8+XNkZmaiRo0a+d6fnp6O9PR06XZiYmLpgiadSElJwZ49exAZGSm12djYICAgAHZ2djJGRkRE+kTWRCguLg7Z2dmoXbu2Rnvt2rURERFRrGO89957qFu3Lnr16pXv/UuXLsWiRYtKHSvpTlRUFIKDg5GcnCy1tW3bFn369IGRkZGMkRERkb6RfY5QaXz66afYunUrgoKCYGJiku82c+fORUJCgvRz586dco6Scrt16xY2b94sJUFmZmYYMWIE+vXrxySIiIjKnaw9QjVr1oRSqURsbKxGe2xsLOrUqVPovl9++SU+/fRThISEwM3NrcDtjI2NNS7FJnnVq1cPjRo1QlRUFBo1aoRBgwZxsVQiIpKNrD1CKpUKHh4eOHLkiNSmVqtx5MgRdOzYscD9Pv/8c3z88cc4ePAg2rZtWx6hko4oFAoMGjQIffv2xahRo5gEERGRrGQfGps1axbWrFmDDRs24OrVq5gyZQpSUlIwfvx4AMDYsWM1JlN/9tlnmD9/PtauXQsnJyc8fPgQDx8+1JhvQhVDcnIyfvnlF9y4cUOj3dzcHO3ateNVYUREJDvZq9QNHz4cjx8/xoIFC/Dw4UO4u7vj4MGD0gTq27dva6wr9f333yMjIwNDhgzROM7ChQvx4YcflmfoVIjIyEjs3r0bz58/x8OHDzF58mSYmZnJHRYREZEG2esIlTfWESpbGRkZOHz4MMLCwqQ2c3NzjBw5EnXr1pUxMiIiqsyqZB0hqlru37+PwMBAPHnyRGpzcXHBgAED2BtEREQVEhMhKjW1Wo3Tp0/j2LFjUKvVAAAjIyP4+vqidevWnAtEREQVFhMhKpXExEQEBQUhJiZGarOzs0NAQABsbGzkC4yIiKgYmAhRqWRmZmoseNu5c2d069YNSqVSxqiIiIiKh4kQlYqNjQ1eeeUVHD9+HP7+/nBycpI7JCIiomJjIkRauXfvHmxtbTWWw3B3d4erqytUKpWMkREREWlP9oKKlcn27UCzZi8um3dwAB48kDui8qNWq3H8+HH89NNPOHz4sMZ9CoWCSRAREVVK7BHSwoIFQERE3nYLi/KPpTzFx8cjMDAQd/9XLOnvv/9G8+bN0aBBA5kjIyIiKh0mQlpISnrxr4EBYGf34v8WFsDHH8sXU1kSQuDixYvYv38/MjIyALzo/fH29kb9+vVljo6IiKj0mAiVgJ1d1a8knZqain379uHy5ctSm7W1NQYPHgwHBwcZIyMiItIdJkKUR0xMDIKCgpCYmCi1ubu7w9fXF8bGxjJGRkREpFtMhF6yffuLuUA5w2C56cPk6JiYGGzYsEG6bWJigv79+8PV1VXGqIiIiMoGE6GXFDQhOreqPDm6Xr16qF+/Pm7dugUnJyf4+/vrdHE7IiKiioSJ0EvymxCdW1WeHA0ABgYG8Pf3x5UrV9ChQweuE0ZERFWa3idCLw+F5Qx/6cOE6JSUFOzbtw8dOnRAvXr1pHYrKyt07NhRxsiIiIjKh94nQvpaGygqKgrBwcFITk7GgwcPMHnyZE6EJiIivaP3iZC+1QbKyspCSEgIQkNDpbaMjAw8efIEdevWlTEyIiKi8qf3iVAOfRgKi42NRWBgIB49eiS1NWrUCIMGDYK5ubmMkREREcmDiZAeEEIgNDQUISEhyM7OBgAolUr07t0bnp6enBBNRER6i4lQFZeUlITg4GBER0dLbba2tggICICtra2MkREREcmPiVAVl5qaipiYGOl2hw4d0LNnTxga8tQTERHx07CKs7W1Re/evXHy5En4+fnB2dlZ7pCIiIgqDCZCVczDhw9Rs2ZNjR4fT09PuLm5wdTUVMbIiIiIKh4DuQMg3VCr1Th58iTWrFmDo0ePatynUCiYBBEREeWDPUJVQEJCAoKCgnDr1i0AwJkzZ+Di4qJRLZqIiIjyYiJUyV2+fBl79+5FWlqa1Na5c2fY29vLGBUREVHlwESokkpPT8eBAwcQHh4utVlaWsLf3x9OTk7yBUZERFSJMBGqhO7cuYOgoCDEx8dLba6urujXrx/nAhEREWlBbxMhF5cX64vlrDZfWcTExGDjxo0QQgAAVCoV+vbtCzc3N1aIJiIi0pLeJkIvJ0CVZbV5R0dH1K1bF/fu3YOjoyP8/f1hbW0td1hERESVkt4mQgoFkLPYemVabV6pVGLw4MH4559/0LlzZxgYsAICERFRSeltIlSnTsVfbT41NRUHDhxAhw4dUDcnawNQo0YNdO3aVcbIiIjKnxACWVlZ0uLRVPUYGRlBqVSW62PqbSJU0cXExCAoKAiJiYm4f/8+Jk2aBCMjI7nDIiKSRUZGBh48eIDnz5/LHQqVIYVCAQcHB5ibm5fbYzIRqmCys7Nx7NgxnDp1SmpLSUnBo0ePWBuIiPSSWq3GzZs3oVQqUbduXahUKl4cUgUJIfD48WPcvXsXjRs3LreeISZCFUhcXBwCAwPxINdMbicnJ/j7+8PS0lLGyIiI5JORkQG1Wg1HR0eYmZnJHQ6VoVq1aiEmJgaZmZlMhPSJEAJhYWE4dOgQsrKyAAAGBgbo0aMHvLy8+M2HiAjgxSF6QI7POyZCMktJScGePXsQGRkptdnY2CAgIAB2dnYyRkZERFT1MRGSWWJiIq5fvy7dbtu2Lfr06cOJ0UREROWA/Ywys7OzQ/fu3WFmZoYRI0agX79+TIKIiKqA1157DQqFAgqFAkZGRmjQoAHeffddjUWyc+zduxfe3t6wsLCAmZkZ2rVrh/Xr1+d73J07d6Jbt26wsrKCubk53Nzc8NFHH+Hp06dl/IyqJiZC5SwuLi5PDQwvLy9MnToVTZs2lSkqIiIqC76+vnjw4AFu3LiBFStWYPXq1Vi4cKHGNt988w0GDRqETp06ITQ0FBcvXsSIESMwefJkzJ49W2PbefPmYfjw4WjXrh0OHDiAf/75B8uWLUN4eDg2bdpUbs8rIyOj3B6rzAk9k5CQIAAIO7uEcn1ctVotzpw5Iz7++GNx9OjRcn1sIqLKLDU1VVy5ckWkpqbKHYpWxo0bJwYNGqTRNnjwYNG6dWvp9u3bt4WRkZGYNWtWnv2//vprAUD8+eefQgghQkNDBQCxcuXKfB8vPj6+wFju3LkjRowYIaytrYWZmZnw8PCQjptfnDNmzBDe3t7SbW9vbzFt2jQxY8YMYWNjI7p16yZGjhwphg0bprFfRkaGsLGxERs2bBBCCJGdnS2WLFkinJychImJiXBzcxPbt28vMM7CznXO53dCgm4/v9kjVA6SkpKwefNmHDp0CNnZ2fjjjz9w7949ucMiIqJy9M8//+D06dNQqVRS244dO5CZmZmn5wcAJk2aBHNzc2zZsgUAsHnzZpibm2Pq1Kn5Hr969er5ticnJ8Pb2xv37t3D7t27ER4ejnfffRdqtVqr+Dds2ACVSoVTp05h1apVGD16NPbs2YPk5GRpm0OHDuH58+fw9/cHACxduhQbN27EqlWrcPnyZcycOROvvvoqfv/9d60euyxxsnQZi4iIwJ49ezSqoXp6eqJ27doyRkVEVLm1bQs8fFj+j1unDvD338Xffu/evTA3N0dWVhbS09NhYGCAb7/9Vrr/2rVrsLKyyvcqYZVKhYYNG+LatWsAgOvXr6Nhw4ZazyP95Zdf8PjxY5w9exY1atQAADRq1EirYwBA48aN8fnnn0u3nZ2dUa1aNQQFBWHMmDHSYw0cOBAWFhZIT0/HkiVLEBISgo4dOwIAGjZsiJMnT2L16tXw9vbWOoaywESojGRkZODw4cMICwuT2szNzeHn5wdnZ2cZIyMiqvwePgQqQ8d69+7d8f333yMlJQUrVqyAoaEhAgICSnQsIUSJ9rtw4QJat24tJUEl5eHhoXHb0NAQw4YNw+bNmzFmzBikpKQgODgYW7duBQBERUXh+fPn6N27t8Z+GRkZaN26dali0SUmQmXg/v37CAwMxJMnT6S2pk2bYuDAgayKSkSkA3XqVI7HrVatmtT7snbtWrRq1Qo//fQTJkyYAABo0qQJEhIScP/+fY3FtYEXCUN0dDS6d+8ubXvy5ElkZmZq1Stkampa6P0GBgZ5kqzMzMx8n8vLRo8eDW9vbzx69Ai//fYbTE1N4evrCwDSkNm+ffvyLBFlbGxc7PjLGhMhHbt58yZ+/vlnaezVyMgIPj4+aNOmDStEExHpiDbDUxWFgYEB3n//fcyaNQujRo2CqakpAgIC8N5772HZsmVYtmyZxvarVq1CSkoKRo4cCQAYNWoUvv76a/z3v//FjBkz8hz/2bNn+c4TcnNzw48//oinT5/m2ytUq1Yt/PPPPxptFy5cKFay5eXlBUdHR2zbtg0HDhzA0KFDpf2aN28OY2Nj3L59u8IMg+WHk6V1zNHREbVq1QLwokbQpEmT4OHhwSSIiIgwdOhQKJVKfPfddwCAevXq4fPPP8fKlSsxb948REREIDo6GsuXL8e7776L//znP2jfvj0AoH379lLbu+++izNnzuDWrVs4cuQIhg4dig0bNuT7mCNHjkSdOnXg5+eHU6dO4caNG9i5cyfOnDkDAOjRowf+/vtvbNy4EdevX8fChQvzJEaFGTVqFFatWoXffvsNo0ePltotLCwwe/ZszJw5Exs2bEB0dDTOnTuHb775psBYZaHTa9AqgfK4fD42NlYcOXJEZGVlldljEBHpi6p0+bwQQixdulTUqlVLJCcnS23BwcGiS5cuolq1asLExER4eHiItWvX5nvcbdu2ia5duwoLCwtRrVo14ebmJj766KNCL5+PiYkRAQEBwtLSUpiZmYm2bduK0NBQ6f4FCxaI2rVrCysrKzFz5kwxffr0PJfPz5gxI99jX7lyRQAQ9evXF2q1WuM+tVotVq5cKZo2bSqMjIxErVq1hI+Pj/j999/zPZYcl88rhCjh7KtKKjEx8X8z9BNw/37pVnRPT0/HoUOH0KFDB9ja2uooQiIiyi0tLQ03b95EgwYNYGJiInc4VIYKO9c5n98JCQmwtCzd53dunCNUQnfu3EFQUBDi4+Nx//59vPHGGzA05MtJRERUmfCTW0tqtRonTpzAiRMnpFn28fHxiI2NzTMrnoiIiCo2JkJaiI+PR2BgIO7evSu1OTo6wt/fH9bW1jJGRkRERCXBRKgYhBC4ePEi9u/fLy00p1Ao4O3tjS5dusDAgBffERERVUZMhIqQmpqKffv24fLly1KbtbU1Bg8eDAcHBxkjIyIiotJiIlSEuLg4XLlyRbrt7u4OX1/fClUVk4hIH+jZRc56SY5zzDGdIjg6OqJLly4wMTHBkCFDMGjQICZBRETlKKdSce7Fq6lqypl+olQqy+0x2SP0kvj4eFhZWWnM++natSs8PDx0WreAiIiKR6lUonr16nj06BEAwMzMjNX6qyC1Wo3Hjx/DzMysXMvRMBH6HyEEwsLCcOjQIXh7e6Nz587SfUqlkkkQEZGM6vxvtdOcZIiqJgMDA9SrV69cE10mQgBSUlKwZ88eREZGAgCOHTsGZ2dn2NnZyRwZEREBL67UtbOzg62tbb4ro1PVoFKpyv1K7AqRCH333Xf44osv8PDhQ7Rq1QrffPMNPD09C9x++/btmD9/PmJiYtC4cWN89tln6Nu3b4keOyoqCsHBwUhOTpbaWrdujZo1a5boeEREVHaUSmW5zh+hqk/2ydLbtm3DrFmzsHDhQpw7dw6tWrWCj49Pgd2fp0+fxsiRIzFhwgScP38efn5+8PPz02qlXABQKrNw8OBBbN68WUqCzMzMMGLECPTv31+anEdERERVl+yLrrZv3x7t2rXDt99+C+DFZClHR0e89dZbmDNnTp7thw8fjpSUFOzdu1dq69ChA9zd3bFq1aoiHy9n0bZJk5bBzi5Jam/UqBEGDRoEc3NzHTwrIiIi0qWyWnRV1h6hjIwMhIWFoVevXlKbgYEBevXqhTNnzuS7z5kzZzS2BwAfH58Cty+ItfVjAC+6WX19fTFq1CgmQURERHpG1jlCcXFxyM7ORu3atTXaa9eujYiIiHz3efjwYb7bP3z4MN/t09PTkZ6eLt1OSEiQ2mvVqoVBgwahVq1aSEpKynd/IiIikl9iYiIA3RddrBCTpcvS0qVLsWjRojztK1asAAD85z//Ke+QiIiIqISePHkCKysrnR1P1kSoZs2aUCqViI2N1WiPjY2Vaka8rE6dOlptP3fuXMyaNUu6/ezZM9SvXx+3b9/W6QtJ2ktMTISjoyPu3LnDOk0VAM9HxcFzUXHwXFQcCQkJqFevHmrUqKHT48qaCKlUKnh4eODIkSPw8/MD8GKy9JEjRzB9+vR89+nYsSOOHDmC//u//5PafvvtN3Ts2DHf7Y2NjfNdEsPKyopv6grC0tKS56IC4fmoOHguKg6ei4pD13WGZB8amzVrFsaNG4e2bdvC09MTK1euREpKCsaPHw8AGDt2LOzt7bF06VIAwIwZM+Dt7Y1ly5ahX79+2Lp1K/7++2/88MMPcj4NIiIiqoRkT4SGDx+Ox48fY8GCBXj48CHc3d1x8OBBaUL07du3NbI/Ly8v/PLLL/jggw/w/vvvo3Hjxti1axdatGgh11MgIiKiSkr2RAgApk+fXuBQ2PHjx/O0DR06FEOHDi3RYxkbG2PhwoVcQb4C4LmoWHg+Kg6ei4qD56LiKKtzIXtBRSIiIiK5yL7EBhEREZFcmAgRERGR3mIiRERERHqLiRARERHprSqZCH333XdwcnKCiYkJ2rdvj7/++qvQ7bdv3w4XFxeYmJigZcuW2L9/fzlFWvVpcy7WrFmDLl26wNraGtbW1ujVq1eR5460o+3vRo6tW7dCoVBIhU+p9LQ9F8+ePcO0adNgZ2cHY2NjNGnShH+rdETbc7Fy5Uo0bdoUpqamcHR0xMyZM5GWllZO0VZdJ06cwIABA1C3bl0oFArs2rWryH2OHz+ONm3awNjYGI0aNcL69eu1f2BRxWzdulWoVCqxdu1acfnyZTFx4kRRvXp1ERsbm+/2p06dEkqlUnz++efiypUr4oMPPhBGRkbi0qVL5Rx51aPtuRg1apT47rvvxPnz58XVq1fFa6+9JqysrMTdu3fLOfKqSdvzkePmzZvC3t5edOnSRQwaNKh8gq3itD0X6enpom3btqJv377i5MmT4ubNm+L48ePiwoUL5Rx51aPtudi8ebMwNjYWmzdvFjdv3hSHDh0SdnZ2YubMmeUcedWzf/9+MW/ePBEYGCgAiKCgoEK3v3HjhjAzMxOzZs0SV65cEd98841QKpXi4MGDWj1ulUuEPD09xbRp06Tb2dnZom7dumLp0qX5bj9s2DDRr18/jbb27duLSZMmlWmc+kDbc/GyrKwsYWFhITZs2FBWIeqVkpyPrKws4eXlJX788Ucxbtw4JkI6ou25+P7770XDhg1FRkZGeYWoN7Q9F9OmTRM9evTQaJs1a5bo1KlTmcapb4qTCL377rvC1dVVo2348OHCx8dHq8eqUkNjGRkZCAsLQ69evaQ2AwMD9OrVC2fOnMl3nzNnzmhsDwA+Pj4Fbk/FU5Jz8bLnz58jMzNT5wvs6aOSno+PPvoItra2mDBhQnmEqRdKci52796Njh07Ytq0aahduzZatGiBJUuWIDs7u7zCrpJKci68vLwQFhYmDZ/duHED+/fvR9++fcslZvqXrj6/K0RlaV2Ji4tDdna2tDxHjtq1ayMiIiLffR4+fJjv9g8fPiyzOPVBSc7Fy9577z3UrVs3zxudtFeS83Hy5En89NNPuHDhQjlEqD9Kci5u3LiBo0ePYvTo0di/fz+ioqIwdepUZGZmYuHCheURdpVUknMxatQoxMXFoXPnzhBCICsrC5MnT8b7779fHiFTLgV9ficmJiI1NRWmpqbFOk6V6hGiquPTTz/F1q1bERQUBBMTE7nD0TtJSUkYM2YM1qxZg5o1a8odjt5Tq9WwtbXFDz/8AA8PDwwfPhzz5s3DqlWr5A5N7xw/fhxLlizBf//7X5w7dw6BgYHYt28fPv74Y7lDoxKqUj1CNWvWhFKpRGxsrEZ7bGws6tSpk+8+derU0Wp7Kp6SnIscX375JT799FOEhITAzc2tLMPUG9qej+joaMTExGDAgAFSm1qtBgAYGhoiMjISzs7OZRt0FVWS3w07OzsYGRlBqVRKbc2aNcPDhw+RkZEBlUpVpjFXVSU5F/Pnz8eYMWPwxhtvAABatmyJlJQUvPnmm5g3b57GIuFUtgr6/La0tCx2bxBQxXqEVCoVPDw8cOTIEalNrVbjyJEj6NixY777dOzYUWN7APjtt98K3J6KpyTnAgA+//xzfPzxxzh48CDatm1bHqHqBW3Ph4uLCy5duoQLFy5IPwMHDkT37t1x4cIFODo6lmf4VUpJfjc6deqEqKgoKRkFgGvXrsHOzo5JUCmU5Fw8f/48T7KTk6AKLt1ZrnT2+a3dPO6Kb+vWrcLY2FisX79eXLlyRbz55puievXq4uHDh0IIIcaMGSPmzJkjbX/q1ClhaGgovvzyS3H16lWxcOFCXj6vI9qei08//VSoVCqxY8cO8eDBA+knKSlJrqdQpWh7Pl7Gq8Z0R9tzcfv2bWFhYSGmT58uIiMjxd69e4Wtra345JNP5HoKVYa252LhwoXCwsJCbNmyRdy4cUMcPnxYODs7i2HDhsn1FKqMpKQkcf78eXH+/HkBQCxfvlycP39e3Lp1SwghxJw5c8SYMWOk7XMun3/nnXfE1atXxXfffcfL53N88803ol69ekKlUglPT0/x559/Svd5e3uLcePGaWz/66+/iiZNmgiVSiVcXV3Fvn37yjniqkubc1G/fn0BIM/PwoULyz/wKkrb343cmAjplrbn4vTp06J9+/bC2NhYNGzYUCxevFhkZWWVc9RVkzbnIjMzU3z44YfC2dlZmJiYCEdHRzF16lQRHx9f/oFXMceOHcv3MyDn9R83bpzw9vbOs4+7u7tQqVSiYcOGYt26dVo/rkII9uURERGRfqpSc4SIiIiItMFEiIiIiPQWEyEiIiLSW0yEiIiISG8xESIiIiK9xUSIiIiI9BYTISIiItJbTISISMP69etRvXp1ucMoMYVCgV27dhW6zWuvvQY/P79yiYeIKjYmQkRV0GuvvQaFQpHnJyoqSu7QsH79eikeAwMDODg4YPz48Xj06JFOjv/gwQO88sorAICYmBgoFApcuHBBY5uvvvoK69ev18njFeTDDz+UnqdSqYSjoyPefPNNPH36VKvjMGkjKltVavV5IvqXr68v1q1bp9FWq1YtmaLRZGlpicjISKjVaoSHh2P8+PG4f/8+Dh06VOpjF7RqeG5WVlalfpzicHV1RUhICLKzs3H16lW8/vrrSEhIwLZt28rl8YmoaOwRIqqijI2NUadOHY0fpVKJ5cuXo2XLlqhWrRocHR0xdepUJCcnF3ic8PBwdO/eHRYWFrC0tISHhwf+/vtv6f6TJ0+iS5cuMDU1haOjI95++22kpKQUGptCoUCdOnVQt25dvPLKK3j77bcREhKC1NRUqNVqfPTRR3BwcICxsTHc3d1x8OBBad+MjAxMnz4ddnZ2MDExQf369bF06VKNY+cMjTVo0AAA0Lp1aygUCnTr1g2AZi/LDz/8gLp162qs7A4AgwYNwuuvvy7dDg4ORps2bWBiYoKGDRti0aJFyMrKKvR5Ghoaok6dOrC3t0evXr0wdOhQ/Pbbb9L92dnZmDBhAho0aABTU1M0bdoUX331lXT/hx9+iA0bNiA4OFjqXTp+/DgA4M6dOxg2bBiqV6+OGjVqYNCgQYiJiSk0HiLKi4kQkZ4xMDDA119/jcuXL2PDhg04evQo3n333QK3Hz16NBwcHHD27FmEhYVhzpw5MDIyAgBER0fD19cXAQEBuHjxIrZt24aTJ09i+vTpWsVkamoKtVqNrKwsfPXVV1i2bBm+/PJLXLx4ET4+Phg4cCCuX78OAPj666+xe/du/Prrr4iMjMTmzZvh5OSU73H/+usvAEBISAgePHiAwMDAPNsMHToUT548wbFjx6S2p0+f4uDBgxg9ejQA4I8//sDYsWMxY8YMXLlyBatXr8b69euxePHiYj/HmJgYHDp0CCqVSmpTq9VwcHDA9u3bceXKFSxYsADvv/8+fv31VwDA7NmzMWzYMPj6+uLBgwd48OABvLy8kJmZCR8fH1hYWOCPP/7AqVOnYG5uDl9fX2RkZBQ7JiICquTq80T6bty4cUKpVIpq1apJP0OGDMl32+3btwsbGxvp9rp164SVlZV028LCQqxfvz7ffSdMmCDefPNNjbY//vhDGBgYiNTU1Hz3efn4165dE02aNBFt27YVQghRt25dsXjxYo192rVrJ6ZOnSqEEOKtt94SPXr0EGq1Ot/jAxBBQUFCCCFu3rwpAIjz589rbDNu3DgxaNAg6fagQYPE66+/Lt1evXq1qFu3rsjOzhZCCNGzZ0+xZMkSjWNs2rRJ2NnZ5RuDEEIsXLhQGBgYiGrVqgkTExNpJe3ly5cXuI8QQkybNk0EBAQUGGvOYzdt2lTjNUhPTxempqbi0KFDhR6fiDRxjhBRFdW9e3d8//330u1q1aoBeNE7snTpUkRERCAxMRFZWVlIS0vD8+fPYWZmluc4s2bNwhtvvIFNmzZJwzvOzs4AXgybXbx4EZs3b5a2F0JArVbj5s2baNasWb6xJSQkwNzcHGq1GmlpaejcuTN+/PFHJCYm4v79++jUqZPG9p06dUJ4eDiAF8NavXv3RtOmTeHr64v+/fujT58+pXqtRo8ejYkTJ+K///0vjI2NsXnzZowYMQIGBgbS8zx16pRGD1B2dnahrxsANG3aFLt370ZaWhp+/vlnXLhwAW+99ZbGNt999x3Wrl2L27dvIzU1FRkZGXB3dy803vDwcERFRcHCwkKjPS0tDdHR0SV4BYj0FxMhoiqqWrVqaNSokUZbTEwM+vfvjylTpmDx4sWoUaMGTp48iQkTJiAjIyPfD/QPP/wQo0aNwr59+3DgwAEsXLgQW7duhb+/P5KTkzFp0iS8/fbbefarV69egbFZWFjg3LlzMDAwgJ2dHUxNTQEAiYmJRT6vNm3a4ObNmzhw4ABCQkIwbNgw9OrVCzt27Chy34IMGDAAQgjs27cP7dq1wx9//IEVK1ZI9ycnJ2PRokUYPHhwnn1NTEwKPK5KpZLOwaeffop+/fph0aJF+PjjjwEAW7duxezZs7Fs2TJ07NgRFhYW+OKLLxAaGlpovMnJyfDw8NBIQHNUlAnxRJUFEyEiPRIWFga1Wo1ly5ZJvR0581EK06RJEzRp0gQzZ87EyJEjsW7dOvj7+6NNmza4cuVKnoSrKAYGBvnuY2lpibp16+LUqVPw9vaW2k+dOgVPT0+N7YYPH47hw4djyJAh8PX1xdOnT1GjRg2N4+XMx8nOzi40HhMTEwwePBibN29GVFQUmjZtijZt2kj3t2nTBpGRkVo/z5d98MEH6NGjB6ZMmSI9Ty8vL0ydOlXa5uUeHZVKlSf+Nm3aYNu2bbC1tYWlpWWpYiLSd5wsTaRHGjVqhMzMTHzzzTe4ceMGNm3ahFWrVhW4fWpqKqZPn47jx4/j1q1bOHXqFM6ePSsNeb333ns4ffo0pk+fjgsXLuD69esIDg7WerJ0bu+88w4+++wzbNu2DZGRkZgzZw4uXLiAGTNmAACWL1+OLVu2ICIiAteuXcP27dtRp06dfItA2trawtTUFAcPHkRsbCwSEhIKfNzRo0dj3759WLt2rTRJOseCBQuwceNGLFq0CJcvX8bVq1exdetWfPDBB1o9t44dO8LNzQ1LliwBADRu3Bh///03Dh06hGvXrmH+/Pk4e/asxj5OTk64ePEiIiMjERcXh8zMTIwePRo1a9bEoEGD8Mcff+DmzZs4fvw43n77bdy9e1ermIj0ntyTlIhI9/KbYJtj+fLlws7OTpiamgofHx+xceNGAUDEx8cLITQnM6enp4sRI0YIR0dHoVKpRN26dcX06dM1JkL/9ddfonfv3sLc3FxUq1ZNuLm55ZnsnNvLk6Vflp2dLT788ENhb28vjIyMRKtWrcSBAwek+3/44Qfh7u4uqlWrJiwtLUXPnj3FuXPnpPuRa7K0EEKsWbNGODo6CgMDA+Ht7V3g65OdnS3s7OwEABEdHZ0nroMHDwovLy9hamoqLC0thaenp/jhhx8KfB4LFy4UrVq1ytO+ZcsWYWxsLG7fvi3S0tLEa6+9JqysrET16tXFlClTxJw5czT2e/TokfT6AhDHjh0TQgjx4MEDMXbsWFGzZk1hbGwsGjZsKCZOnCgSEhIKjImI8lIIIYS8qRgRERGRPDg0RkRERHqLiRARERHpLSZCREREpLeYCBEREZHeYiJEREREeouJEBEREektJkJERESkt5gIERERkd5iIkRERER6i4kQERER6S0mQkRERKS3mAgRERGR3vp/4H7IL7EP5JoAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AUC: 0.6567521367521368\n"
     ]
    }
   ],
   "source": [
    "# Calculate the ROC curve\n",
    "fpr, tpr, thresholds = roc_curve(y_test, logistic_model.predict_proba(X_test)[:, 1])\n",
    "\n",
    "# Plot the ROC curve\n",
    "plt.figure()\n",
    "plt.plot(fpr, tpr, color='blue', lw=2, label='ROC curve')\n",
    "plt.plot([0, 1], [0, 1], color='gray', lw=2, linestyle='--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver Operating Characteristic (ROC) Curve')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.show()\n",
    "# Calculate the AUC\n",
    "roc_auc = auc(fpr, tpr)\n",
    "print(f'AUC: {roc_auc}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                 Coefficient\n",
      "multi_cad_events                                    0.808727\n",
      "tasks_days_used                                     0.503572\n",
      "comms_events                                        0.472965\n",
      "libs_days_used                                      0.460877\n",
      "industry_Aerospace                                  0.380811\n",
      "total_webinar_attendees                             0.368680\n",
      "industry_Industrial/Instrumentation                 0.297175\n",
      "manufacturing_events                                0.282185\n",
      "industry_Electronic Component and Semiconductor     0.265583\n",
      "non_ee_count                                        0.236837\n",
      "industry_Telecommunications                         0.228433\n",
      "mcad_events                                         0.225040\n",
      "industry_Medical Device                             0.220184\n",
      "emb_world_attendees                                 0.191135\n",
      "industry_Consumer Electronics                       0.179648\n",
      "industry_Communications                             0.167960\n",
      "a365_rest_wb_visits                                 0.162996\n",
      "assembly_app_events                                 0.132229\n",
      "industry_Service Bureau / Engineering Services      0.131863\n",
      "industry_Military/Defense                           0.115517\n",
      "multi_cad_days_used                                 0.098559\n",
      "industry_Electronics                                0.096672\n",
      "industry_Automotive                                 0.091564\n",
      "industry_Maritime                                   0.088164\n",
      "part_request_days_used                              0.081357\n",
      "industry_Retail                                     0.076388\n",
      "industry_Machinery                                  0.067617\n",
      "industry_Manufacturing                              0.065871\n",
      "industry_Industrial Manufacturing and Services      0.054365\n",
      "industry_Other                                      0.052686\n",
      "industry_Engineering                                0.051871\n",
      "web_review_events                                   0.023163\n",
      "a365_new_wb_visits                                  0.020515\n",
      "web_review_days_used                                0.006550\n",
      "industry_Consulting                                 0.005566\n",
      "industry_Medical Devices                            0.000000\n",
      "mcad_days_used                                     -0.010691\n",
      "version_control_days_used                          -0.010949\n",
      "share_events                                       -0.017635\n",
      "employees                                          -0.019925\n",
      "libs_events                                        -0.031342\n",
      "industry_Component OEM                             -0.056657\n",
      "assembly_app_days_used                             -0.076876\n",
      "contacts_count                                     -0.078379\n",
      "ee_count                                           -0.128493\n",
      "part_request_events                                -0.134558\n",
      "email_clicks                                       -0.148626\n",
      "industry_Technology                                -0.152247\n",
      "industry_Chemicals                                 -0.152808\n",
      "version_control_events                             -0.154754\n",
      "industry_Aerospace & Defense                       -0.162749\n",
      "industry_Non-Traditional Sectors                   -0.170928\n",
      "industry_Construction                              -0.179310\n",
      "industry_Hospitals and Healthcare                  -0.198050\n",
      "manufacturing_days_used                            -0.274056\n",
      "total_webinars_attended                            -0.319349\n",
      "comms_days_used                                    -0.345850\n",
      "tasks_events                                       -0.348782\n",
      "share_days_used                                    -0.371587\n"
     ]
    }
   ],
   "source": [
    "# Get the logistic regression coefficients\n",
    "coefficients = logistic_model.coef_[0]\n",
    "\n",
    "# Create a DataFrame to display the coefficients with their corresponding feature names\n",
    "coeff_df = pd.DataFrame(coefficients, X.columns, columns=['Coefficient'])\n",
    "# Sort the values by the coefficient value\n",
    "coeff_df = coeff_df.sort_values(by='Coefficient', ascending=False)\n",
    "print(coeff_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "TODO: Check significance of coefficients and try with cross validation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Better feature selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>employees</th>\n",
       "      <th>mk_fit_score</th>\n",
       "      <th>ee_count</th>\n",
       "      <th>contacts_count</th>\n",
       "      <th>non_ee_count</th>\n",
       "      <th>emb_world_attendees</th>\n",
       "      <th>email_clicks</th>\n",
       "      <th>a365_new_wb_visits</th>\n",
       "      <th>a365_rest_wb_visits</th>\n",
       "      <th>total_webinars_attended</th>\n",
       "      <th>...</th>\n",
       "      <th>industry_Manufacturing</th>\n",
       "      <th>industry_Maritime</th>\n",
       "      <th>industry_Medical Device</th>\n",
       "      <th>industry_Medical Devices</th>\n",
       "      <th>industry_Military/Defense</th>\n",
       "      <th>industry_Other</th>\n",
       "      <th>industry_Retail</th>\n",
       "      <th>industry_Service Bureau / Engineering Services</th>\n",
       "      <th>industry_Technology</th>\n",
       "      <th>industry_Telecommunications</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>employees</th>\n",
       "      <td>1.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mk_fit_score</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ee_count</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.657774</td>\n",
       "      <td>0.750457</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>contacts_count</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.657774</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.723469</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>non_ee_count</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.750457</td>\n",
       "      <td>0.723469</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>emb_world_attendees</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>email_clicks</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a365_new_wb_visits</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a365_rest_wb_visits</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_webinars_attended</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_webinar_attendees</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.964208</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>assembly_app_events</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>assembly_app_days_used</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>comms_events</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>comms_days_used</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>libs_events</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>libs_days_used</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manufacturing_events</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manufacturing_days_used</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mcad_events</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mcad_days_used</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>multi_cad_events</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>multi_cad_days_used</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>part_request_events</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>part_request_days_used</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>share_events</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.412033</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>share_days_used</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.419493</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tasks_events</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tasks_days_used</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>version_control_events</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>version_control_days_used</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>web_review_events</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.460271</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>web_review_days_used</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Aerospace</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Aerospace &amp; Defense</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Automotive</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Chemicals</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Communications</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Component OEM</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Construction</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Consulting</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Consumer Electronics</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Electronic Component and Semiconductor</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Electronics</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Engineering</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Hospitals and Healthcare</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Industrial Manufacturing and Services</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Industrial/Instrumentation</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Machinery</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Manufacturing</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Maritime</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Medical Device</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Medical Devices</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Military/Defense</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Other</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Retail</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Service Bureau / Engineering Services</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Technology</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industry_Telecommunications</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>59 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 employees  mk_fit_score  \\\n",
       "employees                                              1.0           NaN   \n",
       "mk_fit_score                                           NaN           1.0   \n",
       "ee_count                                               NaN           NaN   \n",
       "contacts_count                                         NaN           NaN   \n",
       "non_ee_count                                           NaN           NaN   \n",
       "emb_world_attendees                                    NaN           NaN   \n",
       "email_clicks                                           NaN           NaN   \n",
       "a365_new_wb_visits                                     NaN           NaN   \n",
       "a365_rest_wb_visits                                    NaN           NaN   \n",
       "total_webinars_attended                                NaN           NaN   \n",
       "total_webinar_attendees                                NaN           NaN   \n",
       "assembly_app_events                                    NaN           NaN   \n",
       "assembly_app_days_used                                 NaN           NaN   \n",
       "comms_events                                           NaN           NaN   \n",
       "comms_days_used                                        NaN           NaN   \n",
       "libs_events                                            NaN           NaN   \n",
       "libs_days_used                                         NaN           NaN   \n",
       "manufacturing_events                                   NaN           NaN   \n",
       "manufacturing_days_used                                NaN           NaN   \n",
       "mcad_events                                            NaN           NaN   \n",
       "mcad_days_used                                         NaN           NaN   \n",
       "multi_cad_events                                       NaN           NaN   \n",
       "multi_cad_days_used                                    NaN           NaN   \n",
       "part_request_events                                    NaN           NaN   \n",
       "part_request_days_used                                 NaN           NaN   \n",
       "share_events                                           NaN           NaN   \n",
       "share_days_used                                        NaN           NaN   \n",
       "tasks_events                                           NaN           NaN   \n",
       "tasks_days_used                                        NaN           NaN   \n",
       "version_control_events                                 NaN           NaN   \n",
       "version_control_days_used                              NaN           NaN   \n",
       "web_review_events                                      NaN           NaN   \n",
       "web_review_days_used                                   NaN           NaN   \n",
       "industry_Aerospace                                     NaN           NaN   \n",
       "industry_Aerospace & Defense                           NaN           NaN   \n",
       "industry_Automotive                                    NaN           NaN   \n",
       "industry_Chemicals                                     NaN           NaN   \n",
       "industry_Communications                                NaN           NaN   \n",
       "industry_Component OEM                                 NaN           NaN   \n",
       "industry_Construction                                  NaN           NaN   \n",
       "industry_Consulting                                    NaN           NaN   \n",
       "industry_Consumer Electronics                          NaN           NaN   \n",
       "industry_Electronic Component and Semiconductor        NaN           NaN   \n",
       "industry_Electronics                                   NaN           NaN   \n",
       "industry_Engineering                                   NaN           NaN   \n",
       "industry_Hospitals and Healthcare                      NaN           NaN   \n",
       "industry_Industrial Manufacturing and Services         NaN           NaN   \n",
       "industry_Industrial/Instrumentation                    NaN           NaN   \n",
       "industry_Machinery                                     NaN           NaN   \n",
       "industry_Manufacturing                                 NaN           NaN   \n",
       "industry_Maritime                                      NaN           NaN   \n",
       "industry_Medical Device                                NaN           NaN   \n",
       "industry_Medical Devices                               NaN           NaN   \n",
       "industry_Military/Defense                              NaN           NaN   \n",
       "industry_Other                                         NaN           NaN   \n",
       "industry_Retail                                        NaN           NaN   \n",
       "industry_Service Bureau / Engineering Services         NaN           NaN   \n",
       "industry_Technology                                    NaN           NaN   \n",
       "industry_Telecommunications                            NaN           NaN   \n",
       "\n",
       "                                                 ee_count  contacts_count  \\\n",
       "employees                                             NaN             NaN   \n",
       "mk_fit_score                                          NaN             NaN   \n",
       "ee_count                                         1.000000        0.657774   \n",
       "contacts_count                                   0.657774        1.000000   \n",
       "non_ee_count                                     0.750457        0.723469   \n",
       "emb_world_attendees                                   NaN             NaN   \n",
       "email_clicks                                          NaN             NaN   \n",
       "a365_new_wb_visits                                    NaN             NaN   \n",
       "a365_rest_wb_visits                                   NaN             NaN   \n",
       "total_webinars_attended                               NaN             NaN   \n",
       "total_webinar_attendees                               NaN             NaN   \n",
       "assembly_app_events                                   NaN             NaN   \n",
       "assembly_app_days_used                                NaN             NaN   \n",
       "comms_events                                          NaN             NaN   \n",
       "comms_days_used                                       NaN             NaN   \n",
       "libs_events                                           NaN             NaN   \n",
       "libs_days_used                                        NaN             NaN   \n",
       "manufacturing_events                                  NaN             NaN   \n",
       "manufacturing_days_used                               NaN             NaN   \n",
       "mcad_events                                           NaN             NaN   \n",
       "mcad_days_used                                        NaN             NaN   \n",
       "multi_cad_events                                      NaN             NaN   \n",
       "multi_cad_days_used                                   NaN             NaN   \n",
       "part_request_events                                   NaN             NaN   \n",
       "part_request_days_used                                NaN             NaN   \n",
       "share_events                                          NaN        0.412033   \n",
       "share_days_used                                       NaN             NaN   \n",
       "tasks_events                                          NaN             NaN   \n",
       "tasks_days_used                                       NaN             NaN   \n",
       "version_control_events                                NaN             NaN   \n",
       "version_control_days_used                             NaN             NaN   \n",
       "web_review_events                                     NaN             NaN   \n",
       "web_review_days_used                                  NaN             NaN   \n",
       "industry_Aerospace                                    NaN             NaN   \n",
       "industry_Aerospace & Defense                          NaN             NaN   \n",
       "industry_Automotive                                   NaN             NaN   \n",
       "industry_Chemicals                                    NaN             NaN   \n",
       "industry_Communications                               NaN             NaN   \n",
       "industry_Component OEM                                NaN             NaN   \n",
       "industry_Construction                                 NaN             NaN   \n",
       "industry_Consulting                                   NaN             NaN   \n",
       "industry_Consumer Electronics                         NaN             NaN   \n",
       "industry_Electronic Component and Semiconductor       NaN             NaN   \n",
       "industry_Electronics                                  NaN             NaN   \n",
       "industry_Engineering                                  NaN             NaN   \n",
       "industry_Hospitals and Healthcare                     NaN             NaN   \n",
       "industry_Industrial Manufacturing and Services        NaN             NaN   \n",
       "industry_Industrial/Instrumentation                   NaN             NaN   \n",
       "industry_Machinery                                    NaN             NaN   \n",
       "industry_Manufacturing                                NaN             NaN   \n",
       "industry_Maritime                                     NaN             NaN   \n",
       "industry_Medical Device                               NaN             NaN   \n",
       "industry_Medical Devices                              NaN             NaN   \n",
       "industry_Military/Defense                             NaN             NaN   \n",
       "industry_Other                                        NaN             NaN   \n",
       "industry_Retail                                       NaN             NaN   \n",
       "industry_Service Bureau / Engineering Services        NaN             NaN   \n",
       "industry_Technology                                   NaN             NaN   \n",
       "industry_Telecommunications                           NaN             NaN   \n",
       "\n",
       "                                                 non_ee_count  \\\n",
       "employees                                                 NaN   \n",
       "mk_fit_score                                              NaN   \n",
       "ee_count                                             0.750457   \n",
       "contacts_count                                       0.723469   \n",
       "non_ee_count                                         1.000000   \n",
       "emb_world_attendees                                       NaN   \n",
       "email_clicks                                              NaN   \n",
       "a365_new_wb_visits                                        NaN   \n",
       "a365_rest_wb_visits                                       NaN   \n",
       "total_webinars_attended                                   NaN   \n",
       "total_webinar_attendees                                   NaN   \n",
       "assembly_app_events                                       NaN   \n",
       "assembly_app_days_used                                    NaN   \n",
       "comms_events                                              NaN   \n",
       "comms_days_used                                           NaN   \n",
       "libs_events                                               NaN   \n",
       "libs_days_used                                            NaN   \n",
       "manufacturing_events                                      NaN   \n",
       "manufacturing_days_used                                   NaN   \n",
       "mcad_events                                               NaN   \n",
       "mcad_days_used                                            NaN   \n",
       "multi_cad_events                                          NaN   \n",
       "multi_cad_days_used                                       NaN   \n",
       "part_request_events                                       NaN   \n",
       "part_request_days_used                                    NaN   \n",
       "share_events                                              NaN   \n",
       "share_days_used                                           NaN   \n",
       "tasks_events                                              NaN   \n",
       "tasks_days_used                                           NaN   \n",
       "version_control_events                                    NaN   \n",
       "version_control_days_used                                 NaN   \n",
       "web_review_events                                         NaN   \n",
       "web_review_days_used                                      NaN   \n",
       "industry_Aerospace                                        NaN   \n",
       "industry_Aerospace & Defense                              NaN   \n",
       "industry_Automotive                                       NaN   \n",
       "industry_Chemicals                                        NaN   \n",
       "industry_Communications                                   NaN   \n",
       "industry_Component OEM                                    NaN   \n",
       "industry_Construction                                     NaN   \n",
       "industry_Consulting                                       NaN   \n",
       "industry_Consumer Electronics                             NaN   \n",
       "industry_Electronic Component and Semiconductor           NaN   \n",
       "industry_Electronics                                      NaN   \n",
       "industry_Engineering                                      NaN   \n",
       "industry_Hospitals and Healthcare                         NaN   \n",
       "industry_Industrial Manufacturing and Services            NaN   \n",
       "industry_Industrial/Instrumentation                       NaN   \n",
       "industry_Machinery                                        NaN   \n",
       "industry_Manufacturing                                    NaN   \n",
       "industry_Maritime                                         NaN   \n",
       "industry_Medical Device                                   NaN   \n",
       "industry_Medical Devices                                  NaN   \n",
       "industry_Military/Defense                                 NaN   \n",
       "industry_Other                                            NaN   \n",
       "industry_Retail                                           NaN   \n",
       "industry_Service Bureau / Engineering Services            NaN   \n",
       "industry_Technology                                       NaN   \n",
       "industry_Telecommunications                               NaN   \n",
       "\n",
       "                                                 emb_world_attendees  \\\n",
       "employees                                                        NaN   \n",
       "mk_fit_score                                                     NaN   \n",
       "ee_count                                                         NaN   \n",
       "contacts_count                                                   NaN   \n",
       "non_ee_count                                                     NaN   \n",
       "emb_world_attendees                                              1.0   \n",
       "email_clicks                                                     NaN   \n",
       "a365_new_wb_visits                                               NaN   \n",
       "a365_rest_wb_visits                                              NaN   \n",
       "total_webinars_attended                                          NaN   \n",
       "total_webinar_attendees                                          NaN   \n",
       "assembly_app_events                                              NaN   \n",
       "assembly_app_days_used                                           NaN   \n",
       "comms_events                                                     NaN   \n",
       "comms_days_used                                                  NaN   \n",
       "libs_events                                                      NaN   \n",
       "libs_days_used                                                   NaN   \n",
       "manufacturing_events                                             NaN   \n",
       "manufacturing_days_used                                          NaN   \n",
       "mcad_events                                                      NaN   \n",
       "mcad_days_used                                                   NaN   \n",
       "multi_cad_events                                                 NaN   \n",
       "multi_cad_days_used                                              NaN   \n",
       "part_request_events                                              NaN   \n",
       "part_request_days_used                                           NaN   \n",
       "share_events                                                     NaN   \n",
       "share_days_used                                                  NaN   \n",
       "tasks_events                                                     NaN   \n",
       "tasks_days_used                                                  NaN   \n",
       "version_control_events                                           NaN   \n",
       "version_control_days_used                                        NaN   \n",
       "web_review_events                                                NaN   \n",
       "web_review_days_used                                             NaN   \n",
       "industry_Aerospace                                               NaN   \n",
       "industry_Aerospace & Defense                                     NaN   \n",
       "industry_Automotive                                              NaN   \n",
       "industry_Chemicals                                               NaN   \n",
       "industry_Communications                                          NaN   \n",
       "industry_Component OEM                                           NaN   \n",
       "industry_Construction                                            NaN   \n",
       "industry_Consulting                                              NaN   \n",
       "industry_Consumer Electronics                                    NaN   \n",
       "industry_Electronic Component and Semiconductor                  NaN   \n",
       "industry_Electronics                                             NaN   \n",
       "industry_Engineering                                             NaN   \n",
       "industry_Hospitals and Healthcare                                NaN   \n",
       "industry_Industrial Manufacturing and Services                   NaN   \n",
       "industry_Industrial/Instrumentation                              NaN   \n",
       "industry_Machinery                                               NaN   \n",
       "industry_Manufacturing                                           NaN   \n",
       "industry_Maritime                                                NaN   \n",
       "industry_Medical Device                                          NaN   \n",
       "industry_Medical Devices                                         NaN   \n",
       "industry_Military/Defense                                        NaN   \n",
       "industry_Other                                                   NaN   \n",
       "industry_Retail                                                  NaN   \n",
       "industry_Service Bureau / Engineering Services                   NaN   \n",
       "industry_Technology                                              NaN   \n",
       "industry_Telecommunications                                      NaN   \n",
       "\n",
       "                                                 email_clicks  \\\n",
       "employees                                                 NaN   \n",
       "mk_fit_score                                              NaN   \n",
       "ee_count                                                  NaN   \n",
       "contacts_count                                            NaN   \n",
       "non_ee_count                                              NaN   \n",
       "emb_world_attendees                                       NaN   \n",
       "email_clicks                                              1.0   \n",
       "a365_new_wb_visits                                        NaN   \n",
       "a365_rest_wb_visits                                       NaN   \n",
       "total_webinars_attended                                   NaN   \n",
       "total_webinar_attendees                                   NaN   \n",
       "assembly_app_events                                       NaN   \n",
       "assembly_app_days_used                                    NaN   \n",
       "comms_events                                              NaN   \n",
       "comms_days_used                                           NaN   \n",
       "libs_events                                               NaN   \n",
       "libs_days_used                                            NaN   \n",
       "manufacturing_events                                      NaN   \n",
       "manufacturing_days_used                                   NaN   \n",
       "mcad_events                                               NaN   \n",
       "mcad_days_used                                            NaN   \n",
       "multi_cad_events                                          NaN   \n",
       "multi_cad_days_used                                       NaN   \n",
       "part_request_events                                       NaN   \n",
       "part_request_days_used                                    NaN   \n",
       "share_events                                              NaN   \n",
       "share_days_used                                           NaN   \n",
       "tasks_events                                              NaN   \n",
       "tasks_days_used                                           NaN   \n",
       "version_control_events                                    NaN   \n",
       "version_control_days_used                                 NaN   \n",
       "web_review_events                                         NaN   \n",
       "web_review_days_used                                      NaN   \n",
       "industry_Aerospace                                        NaN   \n",
       "industry_Aerospace & Defense                              NaN   \n",
       "industry_Automotive                                       NaN   \n",
       "industry_Chemicals                                        NaN   \n",
       "industry_Communications                                   NaN   \n",
       "industry_Component OEM                                    NaN   \n",
       "industry_Construction                                     NaN   \n",
       "industry_Consulting                                       NaN   \n",
       "industry_Consumer Electronics                             NaN   \n",
       "industry_Electronic Component and Semiconductor           NaN   \n",
       "industry_Electronics                                      NaN   \n",
       "industry_Engineering                                      NaN   \n",
       "industry_Hospitals and Healthcare                         NaN   \n",
       "industry_Industrial Manufacturing and Services            NaN   \n",
       "industry_Industrial/Instrumentation                       NaN   \n",
       "industry_Machinery                                        NaN   \n",
       "industry_Manufacturing                                    NaN   \n",
       "industry_Maritime                                         NaN   \n",
       "industry_Medical Device                                   NaN   \n",
       "industry_Medical Devices                                  NaN   \n",
       "industry_Military/Defense                                 NaN   \n",
       "industry_Other                                            NaN   \n",
       "industry_Retail                                           NaN   \n",
       "industry_Service Bureau / Engineering Services            NaN   \n",
       "industry_Technology                                       NaN   \n",
       "industry_Telecommunications                               NaN   \n",
       "\n",
       "                                                 a365_new_wb_visits  \\\n",
       "employees                                                       NaN   \n",
       "mk_fit_score                                                    NaN   \n",
       "ee_count                                                        NaN   \n",
       "contacts_count                                                  NaN   \n",
       "non_ee_count                                                    NaN   \n",
       "emb_world_attendees                                             NaN   \n",
       "email_clicks                                                    NaN   \n",
       "a365_new_wb_visits                                              1.0   \n",
       "a365_rest_wb_visits                                             NaN   \n",
       "total_webinars_attended                                         NaN   \n",
       "total_webinar_attendees                                         NaN   \n",
       "assembly_app_events                                             NaN   \n",
       "assembly_app_days_used                                          NaN   \n",
       "comms_events                                                    NaN   \n",
       "comms_days_used                                                 NaN   \n",
       "libs_events                                                     NaN   \n",
       "libs_days_used                                                  NaN   \n",
       "manufacturing_events                                            NaN   \n",
       "manufacturing_days_used                                         NaN   \n",
       "mcad_events                                                     NaN   \n",
       "mcad_days_used                                                  NaN   \n",
       "multi_cad_events                                                NaN   \n",
       "multi_cad_days_used                                             NaN   \n",
       "part_request_events                                             NaN   \n",
       "part_request_days_used                                          NaN   \n",
       "share_events                                                    NaN   \n",
       "share_days_used                                                 NaN   \n",
       "tasks_events                                                    NaN   \n",
       "tasks_days_used                                                 NaN   \n",
       "version_control_events                                          NaN   \n",
       "version_control_days_used                                       NaN   \n",
       "web_review_events                                               NaN   \n",
       "web_review_days_used                                            NaN   \n",
       "industry_Aerospace                                              NaN   \n",
       "industry_Aerospace & Defense                                    NaN   \n",
       "industry_Automotive                                             NaN   \n",
       "industry_Chemicals                                              NaN   \n",
       "industry_Communications                                         NaN   \n",
       "industry_Component OEM                                          NaN   \n",
       "industry_Construction                                           NaN   \n",
       "industry_Consulting                                             NaN   \n",
       "industry_Consumer Electronics                                   NaN   \n",
       "industry_Electronic Component and Semiconductor                 NaN   \n",
       "industry_Electronics                                            NaN   \n",
       "industry_Engineering                                            NaN   \n",
       "industry_Hospitals and Healthcare                               NaN   \n",
       "industry_Industrial Manufacturing and Services                  NaN   \n",
       "industry_Industrial/Instrumentation                             NaN   \n",
       "industry_Machinery                                              NaN   \n",
       "industry_Manufacturing                                          NaN   \n",
       "industry_Maritime                                               NaN   \n",
       "industry_Medical Device                                         NaN   \n",
       "industry_Medical Devices                                        NaN   \n",
       "industry_Military/Defense                                       NaN   \n",
       "industry_Other                                                  NaN   \n",
       "industry_Retail                                                 NaN   \n",
       "industry_Service Bureau / Engineering Services                  NaN   \n",
       "industry_Technology                                             NaN   \n",
       "industry_Telecommunications                                     NaN   \n",
       "\n",
       "                                                 a365_rest_wb_visits  \\\n",
       "employees                                                        NaN   \n",
       "mk_fit_score                                                     NaN   \n",
       "ee_count                                                         NaN   \n",
       "contacts_count                                                   NaN   \n",
       "non_ee_count                                                     NaN   \n",
       "emb_world_attendees                                              NaN   \n",
       "email_clicks                                                     NaN   \n",
       "a365_new_wb_visits                                               NaN   \n",
       "a365_rest_wb_visits                                         1.000000   \n",
       "total_webinars_attended                                          NaN   \n",
       "total_webinar_attendees                                          NaN   \n",
       "assembly_app_events                                              NaN   \n",
       "assembly_app_days_used                                           NaN   \n",
       "comms_events                                                     NaN   \n",
       "comms_days_used                                                  NaN   \n",
       "libs_events                                                      NaN   \n",
       "libs_days_used                                                   NaN   \n",
       "manufacturing_events                                             NaN   \n",
       "manufacturing_days_used                                          NaN   \n",
       "mcad_events                                                      NaN   \n",
       "mcad_days_used                                                   NaN   \n",
       "multi_cad_events                                                 NaN   \n",
       "multi_cad_days_used                                              NaN   \n",
       "part_request_events                                              NaN   \n",
       "part_request_days_used                                           NaN   \n",
       "share_events                                                     NaN   \n",
       "share_days_used                                             0.419493   \n",
       "tasks_events                                                     NaN   \n",
       "tasks_days_used                                                  NaN   \n",
       "version_control_events                                           NaN   \n",
       "version_control_days_used                                        NaN   \n",
       "web_review_events                                           0.460271   \n",
       "web_review_days_used                                             NaN   \n",
       "industry_Aerospace                                               NaN   \n",
       "industry_Aerospace & Defense                                     NaN   \n",
       "industry_Automotive                                              NaN   \n",
       "industry_Chemicals                                               NaN   \n",
       "industry_Communications                                          NaN   \n",
       "industry_Component OEM                                           NaN   \n",
       "industry_Construction                                            NaN   \n",
       "industry_Consulting                                              NaN   \n",
       "industry_Consumer Electronics                                    NaN   \n",
       "industry_Electronic Component and Semiconductor                  NaN   \n",
       "industry_Electronics                                             NaN   \n",
       "industry_Engineering                                             NaN   \n",
       "industry_Hospitals and Healthcare                                NaN   \n",
       "industry_Industrial Manufacturing and Services                   NaN   \n",
       "industry_Industrial/Instrumentation                              NaN   \n",
       "industry_Machinery                                               NaN   \n",
       "industry_Manufacturing                                           NaN   \n",
       "industry_Maritime                                                NaN   \n",
       "industry_Medical Device                                          NaN   \n",
       "industry_Medical Devices                                         NaN   \n",
       "industry_Military/Defense                                        NaN   \n",
       "industry_Other                                                   NaN   \n",
       "industry_Retail                                                  NaN   \n",
       "industry_Service Bureau / Engineering Services                   NaN   \n",
       "industry_Technology                                              NaN   \n",
       "industry_Telecommunications                                      NaN   \n",
       "\n",
       "                                                 total_webinars_attended  ...  \\\n",
       "employees                                                            NaN  ...   \n",
       "mk_fit_score                                                         NaN  ...   \n",
       "ee_count                                                             NaN  ...   \n",
       "contacts_count                                                       NaN  ...   \n",
       "non_ee_count                                                         NaN  ...   \n",
       "emb_world_attendees                                                  NaN  ...   \n",
       "email_clicks                                                         NaN  ...   \n",
       "a365_new_wb_visits                                                   NaN  ...   \n",
       "a365_rest_wb_visits                                                  NaN  ...   \n",
       "total_webinars_attended                                         1.000000  ...   \n",
       "total_webinar_attendees                                         0.964208  ...   \n",
       "assembly_app_events                                                  NaN  ...   \n",
       "assembly_app_days_used                                               NaN  ...   \n",
       "comms_events                                                         NaN  ...   \n",
       "comms_days_used                                                      NaN  ...   \n",
       "libs_events                                                          NaN  ...   \n",
       "libs_days_used                                                       NaN  ...   \n",
       "manufacturing_events                                                 NaN  ...   \n",
       "manufacturing_days_used                                              NaN  ...   \n",
       "mcad_events                                                          NaN  ...   \n",
       "mcad_days_used                                                       NaN  ...   \n",
       "multi_cad_events                                                     NaN  ...   \n",
       "multi_cad_days_used                                                  NaN  ...   \n",
       "part_request_events                                                  NaN  ...   \n",
       "part_request_days_used                                               NaN  ...   \n",
       "share_events                                                         NaN  ...   \n",
       "share_days_used                                                      NaN  ...   \n",
       "tasks_events                                                         NaN  ...   \n",
       "tasks_days_used                                                      NaN  ...   \n",
       "version_control_events                                               NaN  ...   \n",
       "version_control_days_used                                            NaN  ...   \n",
       "web_review_events                                                    NaN  ...   \n",
       "web_review_days_used                                                 NaN  ...   \n",
       "industry_Aerospace                                                   NaN  ...   \n",
       "industry_Aerospace & Defense                                         NaN  ...   \n",
       "industry_Automotive                                                  NaN  ...   \n",
       "industry_Chemicals                                                   NaN  ...   \n",
       "industry_Communications                                              NaN  ...   \n",
       "industry_Component OEM                                               NaN  ...   \n",
       "industry_Construction                                                NaN  ...   \n",
       "industry_Consulting                                                  NaN  ...   \n",
       "industry_Consumer Electronics                                        NaN  ...   \n",
       "industry_Electronic Component and Semiconductor                      NaN  ...   \n",
       "industry_Electronics                                                 NaN  ...   \n",
       "industry_Engineering                                                 NaN  ...   \n",
       "industry_Hospitals and Healthcare                                    NaN  ...   \n",
       "industry_Industrial Manufacturing and Services                       NaN  ...   \n",
       "industry_Industrial/Instrumentation                                  NaN  ...   \n",
       "industry_Machinery                                                   NaN  ...   \n",
       "industry_Manufacturing                                               NaN  ...   \n",
       "industry_Maritime                                                    NaN  ...   \n",
       "industry_Medical Device                                              NaN  ...   \n",
       "industry_Medical Devices                                             NaN  ...   \n",
       "industry_Military/Defense                                            NaN  ...   \n",
       "industry_Other                                                       NaN  ...   \n",
       "industry_Retail                                                      NaN  ...   \n",
       "industry_Service Bureau / Engineering Services                       NaN  ...   \n",
       "industry_Technology                                                  NaN  ...   \n",
       "industry_Telecommunications                                          NaN  ...   \n",
       "\n",
       "                                                 industry_Manufacturing  \\\n",
       "employees                                                           NaN   \n",
       "mk_fit_score                                                        NaN   \n",
       "ee_count                                                            NaN   \n",
       "contacts_count                                                      NaN   \n",
       "non_ee_count                                                        NaN   \n",
       "emb_world_attendees                                                 NaN   \n",
       "email_clicks                                                        NaN   \n",
       "a365_new_wb_visits                                                  NaN   \n",
       "a365_rest_wb_visits                                                 NaN   \n",
       "total_webinars_attended                                             NaN   \n",
       "total_webinar_attendees                                             NaN   \n",
       "assembly_app_events                                                 NaN   \n",
       "assembly_app_days_used                                              NaN   \n",
       "comms_events                                                        NaN   \n",
       "comms_days_used                                                     NaN   \n",
       "libs_events                                                         NaN   \n",
       "libs_days_used                                                      NaN   \n",
       "manufacturing_events                                                NaN   \n",
       "manufacturing_days_used                                             NaN   \n",
       "mcad_events                                                         NaN   \n",
       "mcad_days_used                                                      NaN   \n",
       "multi_cad_events                                                    NaN   \n",
       "multi_cad_days_used                                                 NaN   \n",
       "part_request_events                                                 NaN   \n",
       "part_request_days_used                                              NaN   \n",
       "share_events                                                        NaN   \n",
       "share_days_used                                                     NaN   \n",
       "tasks_events                                                        NaN   \n",
       "tasks_days_used                                                     NaN   \n",
       "version_control_events                                              NaN   \n",
       "version_control_days_used                                           NaN   \n",
       "web_review_events                                                   NaN   \n",
       "web_review_days_used                                                NaN   \n",
       "industry_Aerospace                                                  NaN   \n",
       "industry_Aerospace & Defense                                        NaN   \n",
       "industry_Automotive                                                 NaN   \n",
       "industry_Chemicals                                                  NaN   \n",
       "industry_Communications                                             NaN   \n",
       "industry_Component OEM                                              NaN   \n",
       "industry_Construction                                               NaN   \n",
       "industry_Consulting                                                 NaN   \n",
       "industry_Consumer Electronics                                       NaN   \n",
       "industry_Electronic Component and Semiconductor                     NaN   \n",
       "industry_Electronics                                                NaN   \n",
       "industry_Engineering                                                NaN   \n",
       "industry_Hospitals and Healthcare                                   NaN   \n",
       "industry_Industrial Manufacturing and Services                      NaN   \n",
       "industry_Industrial/Instrumentation                                 NaN   \n",
       "industry_Machinery                                                  NaN   \n",
       "industry_Manufacturing                                              1.0   \n",
       "industry_Maritime                                                   NaN   \n",
       "industry_Medical Device                                             NaN   \n",
       "industry_Medical Devices                                            NaN   \n",
       "industry_Military/Defense                                           NaN   \n",
       "industry_Other                                                      NaN   \n",
       "industry_Retail                                                     NaN   \n",
       "industry_Service Bureau / Engineering Services                      NaN   \n",
       "industry_Technology                                                 NaN   \n",
       "industry_Telecommunications                                         NaN   \n",
       "\n",
       "                                                 industry_Maritime  \\\n",
       "employees                                                      NaN   \n",
       "mk_fit_score                                                   NaN   \n",
       "ee_count                                                       NaN   \n",
       "contacts_count                                                 NaN   \n",
       "non_ee_count                                                   NaN   \n",
       "emb_world_attendees                                            NaN   \n",
       "email_clicks                                                   NaN   \n",
       "a365_new_wb_visits                                             NaN   \n",
       "a365_rest_wb_visits                                            NaN   \n",
       "total_webinars_attended                                        NaN   \n",
       "total_webinar_attendees                                        NaN   \n",
       "assembly_app_events                                            NaN   \n",
       "assembly_app_days_used                                         NaN   \n",
       "comms_events                                                   NaN   \n",
       "comms_days_used                                                NaN   \n",
       "libs_events                                                    NaN   \n",
       "libs_days_used                                                 NaN   \n",
       "manufacturing_events                                           NaN   \n",
       "manufacturing_days_used                                        NaN   \n",
       "mcad_events                                                    NaN   \n",
       "mcad_days_used                                                 NaN   \n",
       "multi_cad_events                                               NaN   \n",
       "multi_cad_days_used                                            NaN   \n",
       "part_request_events                                            NaN   \n",
       "part_request_days_used                                         NaN   \n",
       "share_events                                                   NaN   \n",
       "share_days_used                                                NaN   \n",
       "tasks_events                                                   NaN   \n",
       "tasks_days_used                                                NaN   \n",
       "version_control_events                                         NaN   \n",
       "version_control_days_used                                      NaN   \n",
       "web_review_events                                              NaN   \n",
       "web_review_days_used                                           NaN   \n",
       "industry_Aerospace                                             NaN   \n",
       "industry_Aerospace & Defense                                   NaN   \n",
       "industry_Automotive                                            NaN   \n",
       "industry_Chemicals                                             NaN   \n",
       "industry_Communications                                        NaN   \n",
       "industry_Component OEM                                         NaN   \n",
       "industry_Construction                                          NaN   \n",
       "industry_Consulting                                            NaN   \n",
       "industry_Consumer Electronics                                  NaN   \n",
       "industry_Electronic Component and Semiconductor                NaN   \n",
       "industry_Electronics                                           NaN   \n",
       "industry_Engineering                                           NaN   \n",
       "industry_Hospitals and Healthcare                              NaN   \n",
       "industry_Industrial Manufacturing and Services                 NaN   \n",
       "industry_Industrial/Instrumentation                            NaN   \n",
       "industry_Machinery                                             NaN   \n",
       "industry_Manufacturing                                         NaN   \n",
       "industry_Maritime                                              1.0   \n",
       "industry_Medical Device                                        NaN   \n",
       "industry_Medical Devices                                       NaN   \n",
       "industry_Military/Defense                                      NaN   \n",
       "industry_Other                                                 NaN   \n",
       "industry_Retail                                                NaN   \n",
       "industry_Service Bureau / Engineering Services                 NaN   \n",
       "industry_Technology                                            NaN   \n",
       "industry_Telecommunications                                    NaN   \n",
       "\n",
       "                                                 industry_Medical Device  \\\n",
       "employees                                                            NaN   \n",
       "mk_fit_score                                                         NaN   \n",
       "ee_count                                                             NaN   \n",
       "contacts_count                                                       NaN   \n",
       "non_ee_count                                                         NaN   \n",
       "emb_world_attendees                                                  NaN   \n",
       "email_clicks                                                         NaN   \n",
       "a365_new_wb_visits                                                   NaN   \n",
       "a365_rest_wb_visits                                                  NaN   \n",
       "total_webinars_attended                                              NaN   \n",
       "total_webinar_attendees                                              NaN   \n",
       "assembly_app_events                                                  NaN   \n",
       "assembly_app_days_used                                               NaN   \n",
       "comms_events                                                         NaN   \n",
       "comms_days_used                                                      NaN   \n",
       "libs_events                                                          NaN   \n",
       "libs_days_used                                                       NaN   \n",
       "manufacturing_events                                                 NaN   \n",
       "manufacturing_days_used                                              NaN   \n",
       "mcad_events                                                          NaN   \n",
       "mcad_days_used                                                       NaN   \n",
       "multi_cad_events                                                     NaN   \n",
       "multi_cad_days_used                                                  NaN   \n",
       "part_request_events                                                  NaN   \n",
       "part_request_days_used                                               NaN   \n",
       "share_events                                                         NaN   \n",
       "share_days_used                                                      NaN   \n",
       "tasks_events                                                         NaN   \n",
       "tasks_days_used                                                      NaN   \n",
       "version_control_events                                               NaN   \n",
       "version_control_days_used                                            NaN   \n",
       "web_review_events                                                    NaN   \n",
       "web_review_days_used                                                 NaN   \n",
       "industry_Aerospace                                                   NaN   \n",
       "industry_Aerospace & Defense                                         NaN   \n",
       "industry_Automotive                                                  NaN   \n",
       "industry_Chemicals                                                   NaN   \n",
       "industry_Communications                                              NaN   \n",
       "industry_Component OEM                                               NaN   \n",
       "industry_Construction                                                NaN   \n",
       "industry_Consulting                                                  NaN   \n",
       "industry_Consumer Electronics                                        NaN   \n",
       "industry_Electronic Component and Semiconductor                      NaN   \n",
       "industry_Electronics                                                 NaN   \n",
       "industry_Engineering                                                 NaN   \n",
       "industry_Hospitals and Healthcare                                    NaN   \n",
       "industry_Industrial Manufacturing and Services                       NaN   \n",
       "industry_Industrial/Instrumentation                                  NaN   \n",
       "industry_Machinery                                                   NaN   \n",
       "industry_Manufacturing                                               NaN   \n",
       "industry_Maritime                                                    NaN   \n",
       "industry_Medical Device                                              1.0   \n",
       "industry_Medical Devices                                             NaN   \n",
       "industry_Military/Defense                                            NaN   \n",
       "industry_Other                                                       NaN   \n",
       "industry_Retail                                                      NaN   \n",
       "industry_Service Bureau / Engineering Services                       NaN   \n",
       "industry_Technology                                                  NaN   \n",
       "industry_Telecommunications                                          NaN   \n",
       "\n",
       "                                                 industry_Medical Devices  \\\n",
       "employees                                                             NaN   \n",
       "mk_fit_score                                                          NaN   \n",
       "ee_count                                                              NaN   \n",
       "contacts_count                                                        NaN   \n",
       "non_ee_count                                                          NaN   \n",
       "emb_world_attendees                                                   NaN   \n",
       "email_clicks                                                          NaN   \n",
       "a365_new_wb_visits                                                    NaN   \n",
       "a365_rest_wb_visits                                                   NaN   \n",
       "total_webinars_attended                                               NaN   \n",
       "total_webinar_attendees                                               NaN   \n",
       "assembly_app_events                                                   NaN   \n",
       "assembly_app_days_used                                                NaN   \n",
       "comms_events                                                          NaN   \n",
       "comms_days_used                                                       NaN   \n",
       "libs_events                                                           NaN   \n",
       "libs_days_used                                                        NaN   \n",
       "manufacturing_events                                                  NaN   \n",
       "manufacturing_days_used                                               NaN   \n",
       "mcad_events                                                           NaN   \n",
       "mcad_days_used                                                        NaN   \n",
       "multi_cad_events                                                      NaN   \n",
       "multi_cad_days_used                                                   NaN   \n",
       "part_request_events                                                   NaN   \n",
       "part_request_days_used                                                NaN   \n",
       "share_events                                                          NaN   \n",
       "share_days_used                                                       NaN   \n",
       "tasks_events                                                          NaN   \n",
       "tasks_days_used                                                       NaN   \n",
       "version_control_events                                                NaN   \n",
       "version_control_days_used                                             NaN   \n",
       "web_review_events                                                     NaN   \n",
       "web_review_days_used                                                  NaN   \n",
       "industry_Aerospace                                                    NaN   \n",
       "industry_Aerospace & Defense                                          NaN   \n",
       "industry_Automotive                                                   NaN   \n",
       "industry_Chemicals                                                    NaN   \n",
       "industry_Communications                                               NaN   \n",
       "industry_Component OEM                                                NaN   \n",
       "industry_Construction                                                 NaN   \n",
       "industry_Consulting                                                   NaN   \n",
       "industry_Consumer Electronics                                         NaN   \n",
       "industry_Electronic Component and Semiconductor                       NaN   \n",
       "industry_Electronics                                                  NaN   \n",
       "industry_Engineering                                                  NaN   \n",
       "industry_Hospitals and Healthcare                                     NaN   \n",
       "industry_Industrial Manufacturing and Services                        NaN   \n",
       "industry_Industrial/Instrumentation                                   NaN   \n",
       "industry_Machinery                                                    NaN   \n",
       "industry_Manufacturing                                                NaN   \n",
       "industry_Maritime                                                     NaN   \n",
       "industry_Medical Device                                               NaN   \n",
       "industry_Medical Devices                                              1.0   \n",
       "industry_Military/Defense                                             NaN   \n",
       "industry_Other                                                        NaN   \n",
       "industry_Retail                                                       NaN   \n",
       "industry_Service Bureau / Engineering Services                        NaN   \n",
       "industry_Technology                                                   NaN   \n",
       "industry_Telecommunications                                           NaN   \n",
       "\n",
       "                                                 industry_Military/Defense  \\\n",
       "employees                                                              NaN   \n",
       "mk_fit_score                                                           NaN   \n",
       "ee_count                                                               NaN   \n",
       "contacts_count                                                         NaN   \n",
       "non_ee_count                                                           NaN   \n",
       "emb_world_attendees                                                    NaN   \n",
       "email_clicks                                                           NaN   \n",
       "a365_new_wb_visits                                                     NaN   \n",
       "a365_rest_wb_visits                                                    NaN   \n",
       "total_webinars_attended                                                NaN   \n",
       "total_webinar_attendees                                                NaN   \n",
       "assembly_app_events                                                    NaN   \n",
       "assembly_app_days_used                                                 NaN   \n",
       "comms_events                                                           NaN   \n",
       "comms_days_used                                                        NaN   \n",
       "libs_events                                                            NaN   \n",
       "libs_days_used                                                         NaN   \n",
       "manufacturing_events                                                   NaN   \n",
       "manufacturing_days_used                                                NaN   \n",
       "mcad_events                                                            NaN   \n",
       "mcad_days_used                                                         NaN   \n",
       "multi_cad_events                                                       NaN   \n",
       "multi_cad_days_used                                                    NaN   \n",
       "part_request_events                                                    NaN   \n",
       "part_request_days_used                                                 NaN   \n",
       "share_events                                                           NaN   \n",
       "share_days_used                                                        NaN   \n",
       "tasks_events                                                           NaN   \n",
       "tasks_days_used                                                        NaN   \n",
       "version_control_events                                                 NaN   \n",
       "version_control_days_used                                              NaN   \n",
       "web_review_events                                                      NaN   \n",
       "web_review_days_used                                                   NaN   \n",
       "industry_Aerospace                                                     NaN   \n",
       "industry_Aerospace & Defense                                           NaN   \n",
       "industry_Automotive                                                    NaN   \n",
       "industry_Chemicals                                                     NaN   \n",
       "industry_Communications                                                NaN   \n",
       "industry_Component OEM                                                 NaN   \n",
       "industry_Construction                                                  NaN   \n",
       "industry_Consulting                                                    NaN   \n",
       "industry_Consumer Electronics                                          NaN   \n",
       "industry_Electronic Component and Semiconductor                        NaN   \n",
       "industry_Electronics                                                   NaN   \n",
       "industry_Engineering                                                   NaN   \n",
       "industry_Hospitals and Healthcare                                      NaN   \n",
       "industry_Industrial Manufacturing and Services                         NaN   \n",
       "industry_Industrial/Instrumentation                                    NaN   \n",
       "industry_Machinery                                                     NaN   \n",
       "industry_Manufacturing                                                 NaN   \n",
       "industry_Maritime                                                      NaN   \n",
       "industry_Medical Device                                                NaN   \n",
       "industry_Medical Devices                                               NaN   \n",
       "industry_Military/Defense                                              1.0   \n",
       "industry_Other                                                         NaN   \n",
       "industry_Retail                                                        NaN   \n",
       "industry_Service Bureau / Engineering Services                         NaN   \n",
       "industry_Technology                                                    NaN   \n",
       "industry_Telecommunications                                            NaN   \n",
       "\n",
       "                                                 industry_Other  \\\n",
       "employees                                                   NaN   \n",
       "mk_fit_score                                                NaN   \n",
       "ee_count                                                    NaN   \n",
       "contacts_count                                              NaN   \n",
       "non_ee_count                                                NaN   \n",
       "emb_world_attendees                                         NaN   \n",
       "email_clicks                                                NaN   \n",
       "a365_new_wb_visits                                          NaN   \n",
       "a365_rest_wb_visits                                         NaN   \n",
       "total_webinars_attended                                     NaN   \n",
       "total_webinar_attendees                                     NaN   \n",
       "assembly_app_events                                         NaN   \n",
       "assembly_app_days_used                                      NaN   \n",
       "comms_events                                                NaN   \n",
       "comms_days_used                                             NaN   \n",
       "libs_events                                                 NaN   \n",
       "libs_days_used                                              NaN   \n",
       "manufacturing_events                                        NaN   \n",
       "manufacturing_days_used                                     NaN   \n",
       "mcad_events                                                 NaN   \n",
       "mcad_days_used                                              NaN   \n",
       "multi_cad_events                                            NaN   \n",
       "multi_cad_days_used                                         NaN   \n",
       "part_request_events                                         NaN   \n",
       "part_request_days_used                                      NaN   \n",
       "share_events                                                NaN   \n",
       "share_days_used                                             NaN   \n",
       "tasks_events                                                NaN   \n",
       "tasks_days_used                                             NaN   \n",
       "version_control_events                                      NaN   \n",
       "version_control_days_used                                   NaN   \n",
       "web_review_events                                           NaN   \n",
       "web_review_days_used                                        NaN   \n",
       "industry_Aerospace                                          NaN   \n",
       "industry_Aerospace & Defense                                NaN   \n",
       "industry_Automotive                                         NaN   \n",
       "industry_Chemicals                                          NaN   \n",
       "industry_Communications                                     NaN   \n",
       "industry_Component OEM                                      NaN   \n",
       "industry_Construction                                       NaN   \n",
       "industry_Consulting                                         NaN   \n",
       "industry_Consumer Electronics                               NaN   \n",
       "industry_Electronic Component and Semiconductor             NaN   \n",
       "industry_Electronics                                        NaN   \n",
       "industry_Engineering                                        NaN   \n",
       "industry_Hospitals and Healthcare                           NaN   \n",
       "industry_Industrial Manufacturing and Services              NaN   \n",
       "industry_Industrial/Instrumentation                         NaN   \n",
       "industry_Machinery                                          NaN   \n",
       "industry_Manufacturing                                      NaN   \n",
       "industry_Maritime                                           NaN   \n",
       "industry_Medical Device                                     NaN   \n",
       "industry_Medical Devices                                    NaN   \n",
       "industry_Military/Defense                                   NaN   \n",
       "industry_Other                                              1.0   \n",
       "industry_Retail                                             NaN   \n",
       "industry_Service Bureau / Engineering Services              NaN   \n",
       "industry_Technology                                         NaN   \n",
       "industry_Telecommunications                                 NaN   \n",
       "\n",
       "                                                 industry_Retail  \\\n",
       "employees                                                    NaN   \n",
       "mk_fit_score                                                 NaN   \n",
       "ee_count                                                     NaN   \n",
       "contacts_count                                               NaN   \n",
       "non_ee_count                                                 NaN   \n",
       "emb_world_attendees                                          NaN   \n",
       "email_clicks                                                 NaN   \n",
       "a365_new_wb_visits                                           NaN   \n",
       "a365_rest_wb_visits                                          NaN   \n",
       "total_webinars_attended                                      NaN   \n",
       "total_webinar_attendees                                      NaN   \n",
       "assembly_app_events                                          NaN   \n",
       "assembly_app_days_used                                       NaN   \n",
       "comms_events                                                 NaN   \n",
       "comms_days_used                                              NaN   \n",
       "libs_events                                                  NaN   \n",
       "libs_days_used                                               NaN   \n",
       "manufacturing_events                                         NaN   \n",
       "manufacturing_days_used                                      NaN   \n",
       "mcad_events                                                  NaN   \n",
       "mcad_days_used                                               NaN   \n",
       "multi_cad_events                                             NaN   \n",
       "multi_cad_days_used                                          NaN   \n",
       "part_request_events                                          NaN   \n",
       "part_request_days_used                                       NaN   \n",
       "share_events                                                 NaN   \n",
       "share_days_used                                              NaN   \n",
       "tasks_events                                                 NaN   \n",
       "tasks_days_used                                              NaN   \n",
       "version_control_events                                       NaN   \n",
       "version_control_days_used                                    NaN   \n",
       "web_review_events                                            NaN   \n",
       "web_review_days_used                                         NaN   \n",
       "industry_Aerospace                                           NaN   \n",
       "industry_Aerospace & Defense                                 NaN   \n",
       "industry_Automotive                                          NaN   \n",
       "industry_Chemicals                                           NaN   \n",
       "industry_Communications                                      NaN   \n",
       "industry_Component OEM                                       NaN   \n",
       "industry_Construction                                        NaN   \n",
       "industry_Consulting                                          NaN   \n",
       "industry_Consumer Electronics                                NaN   \n",
       "industry_Electronic Component and Semiconductor              NaN   \n",
       "industry_Electronics                                         NaN   \n",
       "industry_Engineering                                         NaN   \n",
       "industry_Hospitals and Healthcare                            NaN   \n",
       "industry_Industrial Manufacturing and Services               NaN   \n",
       "industry_Industrial/Instrumentation                          NaN   \n",
       "industry_Machinery                                           NaN   \n",
       "industry_Manufacturing                                       NaN   \n",
       "industry_Maritime                                            NaN   \n",
       "industry_Medical Device                                      NaN   \n",
       "industry_Medical Devices                                     NaN   \n",
       "industry_Military/Defense                                    NaN   \n",
       "industry_Other                                               NaN   \n",
       "industry_Retail                                              1.0   \n",
       "industry_Service Bureau / Engineering Services               NaN   \n",
       "industry_Technology                                          NaN   \n",
       "industry_Telecommunications                                  NaN   \n",
       "\n",
       "                                                 industry_Service Bureau / Engineering Services  \\\n",
       "employees                                                                                   NaN   \n",
       "mk_fit_score                                                                                NaN   \n",
       "ee_count                                                                                    NaN   \n",
       "contacts_count                                                                              NaN   \n",
       "non_ee_count                                                                                NaN   \n",
       "emb_world_attendees                                                                         NaN   \n",
       "email_clicks                                                                                NaN   \n",
       "a365_new_wb_visits                                                                          NaN   \n",
       "a365_rest_wb_visits                                                                         NaN   \n",
       "total_webinars_attended                                                                     NaN   \n",
       "total_webinar_attendees                                                                     NaN   \n",
       "assembly_app_events                                                                         NaN   \n",
       "assembly_app_days_used                                                                      NaN   \n",
       "comms_events                                                                                NaN   \n",
       "comms_days_used                                                                             NaN   \n",
       "libs_events                                                                                 NaN   \n",
       "libs_days_used                                                                              NaN   \n",
       "manufacturing_events                                                                        NaN   \n",
       "manufacturing_days_used                                                                     NaN   \n",
       "mcad_events                                                                                 NaN   \n",
       "mcad_days_used                                                                              NaN   \n",
       "multi_cad_events                                                                            NaN   \n",
       "multi_cad_days_used                                                                         NaN   \n",
       "part_request_events                                                                         NaN   \n",
       "part_request_days_used                                                                      NaN   \n",
       "share_events                                                                                NaN   \n",
       "share_days_used                                                                             NaN   \n",
       "tasks_events                                                                                NaN   \n",
       "tasks_days_used                                                                             NaN   \n",
       "version_control_events                                                                      NaN   \n",
       "version_control_days_used                                                                   NaN   \n",
       "web_review_events                                                                           NaN   \n",
       "web_review_days_used                                                                        NaN   \n",
       "industry_Aerospace                                                                          NaN   \n",
       "industry_Aerospace & Defense                                                                NaN   \n",
       "industry_Automotive                                                                         NaN   \n",
       "industry_Chemicals                                                                          NaN   \n",
       "industry_Communications                                                                     NaN   \n",
       "industry_Component OEM                                                                      NaN   \n",
       "industry_Construction                                                                       NaN   \n",
       "industry_Consulting                                                                         NaN   \n",
       "industry_Consumer Electronics                                                               NaN   \n",
       "industry_Electronic Component and Semiconductor                                             NaN   \n",
       "industry_Electronics                                                                        NaN   \n",
       "industry_Engineering                                                                        NaN   \n",
       "industry_Hospitals and Healthcare                                                           NaN   \n",
       "industry_Industrial Manufacturing and Services                                              NaN   \n",
       "industry_Industrial/Instrumentation                                                         NaN   \n",
       "industry_Machinery                                                                          NaN   \n",
       "industry_Manufacturing                                                                      NaN   \n",
       "industry_Maritime                                                                           NaN   \n",
       "industry_Medical Device                                                                     NaN   \n",
       "industry_Medical Devices                                                                    NaN   \n",
       "industry_Military/Defense                                                                   NaN   \n",
       "industry_Other                                                                              NaN   \n",
       "industry_Retail                                                                             NaN   \n",
       "industry_Service Bureau / Engineering Services                                              1.0   \n",
       "industry_Technology                                                                         NaN   \n",
       "industry_Telecommunications                                                                 NaN   \n",
       "\n",
       "                                                 industry_Technology  \\\n",
       "employees                                                        NaN   \n",
       "mk_fit_score                                                     NaN   \n",
       "ee_count                                                         NaN   \n",
       "contacts_count                                                   NaN   \n",
       "non_ee_count                                                     NaN   \n",
       "emb_world_attendees                                              NaN   \n",
       "email_clicks                                                     NaN   \n",
       "a365_new_wb_visits                                               NaN   \n",
       "a365_rest_wb_visits                                              NaN   \n",
       "total_webinars_attended                                          NaN   \n",
       "total_webinar_attendees                                          NaN   \n",
       "assembly_app_events                                              NaN   \n",
       "assembly_app_days_used                                           NaN   \n",
       "comms_events                                                     NaN   \n",
       "comms_days_used                                                  NaN   \n",
       "libs_events                                                      NaN   \n",
       "libs_days_used                                                   NaN   \n",
       "manufacturing_events                                             NaN   \n",
       "manufacturing_days_used                                          NaN   \n",
       "mcad_events                                                      NaN   \n",
       "mcad_days_used                                                   NaN   \n",
       "multi_cad_events                                                 NaN   \n",
       "multi_cad_days_used                                              NaN   \n",
       "part_request_events                                              NaN   \n",
       "part_request_days_used                                           NaN   \n",
       "share_events                                                     NaN   \n",
       "share_days_used                                                  NaN   \n",
       "tasks_events                                                     NaN   \n",
       "tasks_days_used                                                  NaN   \n",
       "version_control_events                                           NaN   \n",
       "version_control_days_used                                        NaN   \n",
       "web_review_events                                                NaN   \n",
       "web_review_days_used                                             NaN   \n",
       "industry_Aerospace                                               NaN   \n",
       "industry_Aerospace & Defense                                     NaN   \n",
       "industry_Automotive                                              NaN   \n",
       "industry_Chemicals                                               NaN   \n",
       "industry_Communications                                          NaN   \n",
       "industry_Component OEM                                           NaN   \n",
       "industry_Construction                                            NaN   \n",
       "industry_Consulting                                              NaN   \n",
       "industry_Consumer Electronics                                    NaN   \n",
       "industry_Electronic Component and Semiconductor                  NaN   \n",
       "industry_Electronics                                             NaN   \n",
       "industry_Engineering                                             NaN   \n",
       "industry_Hospitals and Healthcare                                NaN   \n",
       "industry_Industrial Manufacturing and Services                   NaN   \n",
       "industry_Industrial/Instrumentation                              NaN   \n",
       "industry_Machinery                                               NaN   \n",
       "industry_Manufacturing                                           NaN   \n",
       "industry_Maritime                                                NaN   \n",
       "industry_Medical Device                                          NaN   \n",
       "industry_Medical Devices                                         NaN   \n",
       "industry_Military/Defense                                        NaN   \n",
       "industry_Other                                                   NaN   \n",
       "industry_Retail                                                  NaN   \n",
       "industry_Service Bureau / Engineering Services                   NaN   \n",
       "industry_Technology                                              1.0   \n",
       "industry_Telecommunications                                      NaN   \n",
       "\n",
       "                                                 industry_Telecommunications  \n",
       "employees                                                                NaN  \n",
       "mk_fit_score                                                             NaN  \n",
       "ee_count                                                                 NaN  \n",
       "contacts_count                                                           NaN  \n",
       "non_ee_count                                                             NaN  \n",
       "emb_world_attendees                                                      NaN  \n",
       "email_clicks                                                             NaN  \n",
       "a365_new_wb_visits                                                       NaN  \n",
       "a365_rest_wb_visits                                                      NaN  \n",
       "total_webinars_attended                                                  NaN  \n",
       "total_webinar_attendees                                                  NaN  \n",
       "assembly_app_events                                                      NaN  \n",
       "assembly_app_days_used                                                   NaN  \n",
       "comms_events                                                             NaN  \n",
       "comms_days_used                                                          NaN  \n",
       "libs_events                                                              NaN  \n",
       "libs_days_used                                                           NaN  \n",
       "manufacturing_events                                                     NaN  \n",
       "manufacturing_days_used                                                  NaN  \n",
       "mcad_events                                                              NaN  \n",
       "mcad_days_used                                                           NaN  \n",
       "multi_cad_events                                                         NaN  \n",
       "multi_cad_days_used                                                      NaN  \n",
       "part_request_events                                                      NaN  \n",
       "part_request_days_used                                                   NaN  \n",
       "share_events                                                             NaN  \n",
       "share_days_used                                                          NaN  \n",
       "tasks_events                                                             NaN  \n",
       "tasks_days_used                                                          NaN  \n",
       "version_control_events                                                   NaN  \n",
       "version_control_days_used                                                NaN  \n",
       "web_review_events                                                        NaN  \n",
       "web_review_days_used                                                     NaN  \n",
       "industry_Aerospace                                                       NaN  \n",
       "industry_Aerospace & Defense                                             NaN  \n",
       "industry_Automotive                                                      NaN  \n",
       "industry_Chemicals                                                       NaN  \n",
       "industry_Communications                                                  NaN  \n",
       "industry_Component OEM                                                   NaN  \n",
       "industry_Construction                                                    NaN  \n",
       "industry_Consulting                                                      NaN  \n",
       "industry_Consumer Electronics                                            NaN  \n",
       "industry_Electronic Component and Semiconductor                          NaN  \n",
       "industry_Electronics                                                     NaN  \n",
       "industry_Engineering                                                     NaN  \n",
       "industry_Hospitals and Healthcare                                        NaN  \n",
       "industry_Industrial Manufacturing and Services                           NaN  \n",
       "industry_Industrial/Instrumentation                                      NaN  \n",
       "industry_Machinery                                                       NaN  \n",
       "industry_Manufacturing                                                   NaN  \n",
       "industry_Maritime                                                        NaN  \n",
       "industry_Medical Device                                                  NaN  \n",
       "industry_Medical Devices                                                 NaN  \n",
       "industry_Military/Defense                                                NaN  \n",
       "industry_Other                                                           NaN  \n",
       "industry_Retail                                                          NaN  \n",
       "industry_Service Bureau / Engineering Services                           NaN  \n",
       "industry_Technology                                                      NaN  \n",
       "industry_Telecommunications                                              1.0  \n",
       "\n",
       "[59 rows x 59 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix = X.corr()\n",
    "\n",
    "# See anything with correlation > 0.6 or < -0.6\n",
    "corr_matrix[(corr_matrix > 0.4) | (corr_matrix < -0.4)]\n",
    "\n",
    "# Highly correlated features\n",
    "# - ee_count / contacts_count / non_ee_count\n",
    "# - total_webinars_attended / total_webinars_attendees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1011, 31) (1011,)\n"
     ]
    }
   ],
   "source": [
    "# Drop customer_number, stage_grouped, max_closed_date, cloud_revenue, total_opp_amount from the dataframe\n",
    "# Also drop ee_count, non_ee_count and total_webinars_attended due to high correlation\n",
    "X = df.drop(['customer_number', 'stage_grouped', 'max_closed_date', 'cloud_revenue', 'total_opp_amount', 'stage_grouped_num', 'ee_count', 'non_ee_count', 'total_webinars_attended'], axis=1)\n",
    "y = df['stage_grouped_num']\n",
    "print(X.shape, y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>employees</th>\n",
       "      <th>mk_fit_score</th>\n",
       "      <th>contacts_count</th>\n",
       "      <th>emb_world_attendees</th>\n",
       "      <th>email_clicks</th>\n",
       "      <th>a365_new_wb_visits</th>\n",
       "      <th>a365_rest_wb_visits</th>\n",
       "      <th>total_webinar_attendees</th>\n",
       "      <th>assembly_app_events</th>\n",
       "      <th>assembly_app_days_used</th>\n",
       "      <th>...</th>\n",
       "      <th>industry_Manufacturing</th>\n",
       "      <th>industry_Maritime</th>\n",
       "      <th>industry_Medical Device</th>\n",
       "      <th>industry_Medical Devices</th>\n",
       "      <th>industry_Military/Defense</th>\n",
       "      <th>industry_Other</th>\n",
       "      <th>industry_Retail</th>\n",
       "      <th>industry_Service Bureau / Engineering Services</th>\n",
       "      <th>industry_Technology</th>\n",
       "      <th>industry_Telecommunications</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>823</td>\n",
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       "      <td>False</td>\n",
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       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>107</td>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "      <td>3</td>\n",
       "      <td>27</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>300</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>3</td>\n",
       "      <td>166</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>8</td>\n",
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       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 56 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   employees  mk_fit_score  contacts_count  emb_world_attendees  email_clicks  \\\n",
       "0        823             0             187                    0            10   \n",
       "1          0             0             107                    0            85   \n",
       "2          0             0               0                    0             2   \n",
       "3        300             0              43                    0            28   \n",
       "4          8             0               3                    0             2   \n",
       "\n",
       "   a365_new_wb_visits  a365_rest_wb_visits  total_webinar_attendees  \\\n",
       "0                   0                   33                        0   \n",
       "1                   3                   27                       14   \n",
       "2                   0                    2                        0   \n",
       "3                   3                  166                        2   \n",
       "4                   0                   11                        0   \n",
       "\n",
       "   assembly_app_events  assembly_app_days_used  ...  industry_Manufacturing  \\\n",
       "0                    2                       2  ...                   False   \n",
       "1                    6                       6  ...                   False   \n",
       "2                    0                       0  ...                   False   \n",
       "3                    4                       3  ...                   False   \n",
       "4                    1                       1  ...                   False   \n",
       "\n",
       "   industry_Maritime  industry_Medical Device  industry_Medical Devices  \\\n",
       "0              False                    False                     False   \n",
       "1              False                    False                     False   \n",
       "2              False                    False                     False   \n",
       "3              False                    False                     False   \n",
       "4              False                    False                     False   \n",
       "\n",
       "   industry_Military/Defense  industry_Other  industry_Retail  \\\n",
       "0                      False           False            False   \n",
       "1                      False           False            False   \n",
       "2                      False           False            False   \n",
       "3                      False           False            False   \n",
       "4                      False           False            False   \n",
       "\n",
       "   industry_Service Bureau / Engineering Services  industry_Technology  \\\n",
       "0                                           False                False   \n",
       "1                                           False                False   \n",
       "2                                           False                False   \n",
       "3                                           False                False   \n",
       "4                                           False                False   \n",
       "\n",
       "   industry_Telecommunications  \n",
       "0                        False  \n",
       "1                        False  \n",
       "2                        False  \n",
       "3                        False  \n",
       "4                        False  \n",
       "\n",
       "[5 rows x 56 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Perform one-hot encoding on the 'industry' column\n",
    "X = pd.get_dummies(X, columns=['industry'], drop_first=True)\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(707, 56) (304, 56) (707,) (304,)\n",
      "(707, 56) (304, 56)\n"
     ]
    }
   ],
   "source": [
    "# Split the data into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
    "print(X_train.shape, X_test.shape, y_train.shape, y_test.shape)\n",
    "\n",
    "# Standardize the features\n",
    "scaler = StandardScaler()\n",
    "X_train = scaler.fit_transform(X_train)\n",
    "X_test = scaler.transform(X_test)\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[130  35]\n",
      " [ 96  43]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.58      0.79      0.66       165\n",
      "           1       0.55      0.31      0.40       139\n",
      "\n",
      "    accuracy                           0.57       304\n",
      "   macro avg       0.56      0.55      0.53       304\n",
      "weighted avg       0.56      0.57      0.54       304\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Create and train the logistic regression model\n",
    "logistic_model = LogisticRegression()\n",
    "logistic_model.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions\n",
    "y_pred = logistic_model.predict(X_test)\n",
    "\n",
    "# Evaluate the model\n",
    "print(confusion_matrix(y_test, y_pred))\n",
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AUC: 0.6089165031611075\n"
     ]
    }
   ],
   "source": [
    "# Calculate the ROC curve\n",
    "fpr, tpr, thresholds = roc_curve(y_test, logistic_model.predict_proba(X_test)[:, 1])\n",
    "\n",
    "# Plot the ROC curve\n",
    "plt.figure()\n",
    "plt.plot(fpr, tpr, color='blue', lw=2, label='ROC curve')\n",
    "plt.plot([0, 1], [0, 1], color='gray', lw=2, linestyle='--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver Operating Characteristic (ROC) Curve')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.show()\n",
    "# Calculate the AUC\n",
    "roc_auc = auc(fpr, tpr)\n",
    "print(f'AUC: {roc_auc}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CART"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CART model with default parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[105  60]\n",
      " [ 80  59]]\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.57      0.64      0.60       165\n",
      "           1       0.50      0.42      0.46       139\n",
      "\n",
      "    accuracy                           0.54       304\n",
      "   macro avg       0.53      0.53      0.53       304\n",
      "weighted avg       0.53      0.54      0.53       304\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Create the CART model\n",
    "cart_model = DecisionTreeClassifier(random_state=42)\n",
    "# cp = 0.0 in default (will be as complex as necessary)\n",
    "\n",
    "# Train the model\n",
    "cart_model.fit(X_train, y_train)\n",
    "\n",
    "# Make predictions\n",
    "y_pred_cart = cart_model.predict(X_test)\n",
    "\n",
    "# Evaluate the model\n",
    "print(confusion_matrix(y_test, y_pred_cart))\n",
    "print(classification_report(y_test, y_pred_cart))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AUC (CART): 0.5248746457379551\n"
     ]
    }
   ],
   "source": [
    "# Calculate the ROC curve\n",
    "fpr_cart, tpr_cart, thresholds_cart = roc_curve(y_test, cart_model.predict_proba(X_test)[:, 1])\n",
    "\n",
    "# Plot the ROC curve\n",
    "plt.figure()\n",
    "plt.plot(fpr_cart, tpr_cart, color='blue', lw=2, label='ROC curve (CART)')\n",
    "plt.plot([0, 1], [0, 1], color='gray', lw=2, linestyle='--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver Operating Characteristic (ROC) Curve - CART')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.show()\n",
    "\n",
    "# Calculate the AUC\n",
    "roc_auc_cart = auc(fpr_cart, tpr_cart)\n",
    "print(f'AUC (CART): {roc_auc_cart}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 10))\n",
    "plot_tree(cart_model, feature_names=X.columns, class_names=['lost', 'won'], filled=True, rounded=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CART model with cross validation on cp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best parameters: {'ccp_alpha': 0.1}\n",
      "Best cross-validation score: 0.5770824949698189\n"
     ]
    }
   ],
   "source": [
    "# Define the parameter grid\n",
    "param_grid = {'ccp_alpha': [0.0001, 0.001, 0.01, 0.1, 0.2, 0.3, 0.4, 0.5]}\n",
    "\n",
    "# Create the CART model\n",
    "cart_model = DecisionTreeClassifier(random_state=42)\n",
    "\n",
    "# Perform grid search with cross-validation\n",
    "grid_search = GridSearchCV(cart_model, param_grid, cv=10, scoring='accuracy')\n",
    "grid_search.fit(X_train, y_train)\n",
    "\n",
    "# Get the best model\n",
    "best_cart_model = grid_search.best_estimator_\n",
    "\n",
    "# Print the best parameters and the best score\n",
    "print(f\"Best parameters: {grid_search.best_params_}\")\n",
    "print(f\"Best cross-validation score: {grid_search.best_score_}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Random Forest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Boosted Trees"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Neural Network"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "envedge",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}