--- a
+++ b/analytics/Analysis_Sleep.ipynb
@@ -0,0 +1,1864 @@
+{
+ "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"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>User First Name</th>\n",
+       "      <th>Calendar Date (Local)</th>\n",
+       "      <th>Start Time (Local)</th>\n",
+       "      <th>End Time (Local)</th>\n",
+       "      <th>Duration (s)</th>\n",
+       "      <th>Rem Sleep Duration (s)</th>\n",
+       "      <th>Deep Sleep Duration (s)</th>\n",
+       "      <th>Light Sleep Duration (s)</th>\n",
+       "      <th>Source</th>\n",
+       "      <th>Sleep Efficiency</th>\n",
+       "      <th>Sleep Score Value</th>\n",
+       "      <th>Duration (h)</th>\n",
+       "      <th>Deep Sleep Duration (h)</th>\n",
+       "      <th>Light Sleep Duration (h)</th>\n",
+       "      <th>Rem Sleep Duration (h)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-22</td>\n",
+       "      <td>2023-12-22T01:17:00</td>\n",
+       "      <td>2023-12-22T09:03:00</td>\n",
+       "      <td>27960</td>\n",
+       "      <td>8400</td>\n",
+       "      <td>3000</td>\n",
+       "      <td>16560</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>7.766667</td>\n",
+       "      <td>0.833333</td>\n",
+       "      <td>4.60</td>\n",
+       "      <td>2.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-22</td>\n",
+       "      <td>2023-12-22T01:17:00</td>\n",
+       "      <td>2023-12-22T09:03:00</td>\n",
+       "      <td>27960</td>\n",
+       "      <td>8400</td>\n",
+       "      <td>3000</td>\n",
+       "      <td>16560</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>7.766667</td>\n",
+       "      <td>0.833333</td>\n",
+       "      <td>4.60</td>\n",
+       "      <td>2.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-22</td>\n",
+       "      <td>2023-12-22T01:17:00</td>\n",
+       "      <td>2023-12-22T09:03:00</td>\n",
+       "      <td>27960</td>\n",
+       "      <td>8400</td>\n",
+       "      <td>3000</td>\n",
+       "      <td>16560</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>7.766667</td>\n",
+       "      <td>0.833333</td>\n",
+       "      <td>4.60</td>\n",
+       "      <td>2.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-22</td>\n",
+       "      <td>2023-12-22T01:17:00</td>\n",
+       "      <td>2023-12-22T09:03:00</td>\n",
+       "      <td>27960</td>\n",
+       "      <td>8400</td>\n",
+       "      <td>3000</td>\n",
+       "      <td>16560</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>7.766667</td>\n",
+       "      <td>0.833333</td>\n",
+       "      <td>4.60</td>\n",
+       "      <td>2.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-22</td>\n",
+       "      <td>2023-12-22T01:17:00</td>\n",
+       "      <td>2023-12-22T09:03:00</td>\n",
+       "      <td>27960</td>\n",
+       "      <td>8400</td>\n",
+       "      <td>3000</td>\n",
+       "      <td>16560</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>7.766667</td>\n",
+       "      <td>0.833333</td>\n",
+       "      <td>4.60</td>\n",
+       "      <td>2.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3791</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2024-01-08</td>\n",
+       "      <td>2024-01-08T00:01:00</td>\n",
+       "      <td>2024-01-08T07:34:00</td>\n",
+       "      <td>27180</td>\n",
+       "      <td>4140</td>\n",
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+       "      <td>92.0</td>\n",
+       "      <td>7.550000</td>\n",
+       "      <td>1.833333</td>\n",
+       "      <td>4.55</td>\n",
+       "      <td>1.150000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3792</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2024-01-08</td>\n",
+       "      <td>2024-01-08T00:01:00</td>\n",
+       "      <td>2024-01-08T07:34:00</td>\n",
+       "      <td>27180</td>\n",
+       "      <td>4140</td>\n",
+       "      <td>6600</td>\n",
+       "      <td>16380</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.997792</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>7.550000</td>\n",
+       "      <td>1.833333</td>\n",
+       "      <td>4.55</td>\n",
+       "      <td>1.150000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3793</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2024-01-08</td>\n",
+       "      <td>2024-01-08T00:01:00</td>\n",
+       "      <td>2024-01-08T07:34:00</td>\n",
+       "      <td>27180</td>\n",
+       "      <td>4140</td>\n",
+       "      <td>6600</td>\n",
+       "      <td>16380</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.997792</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>7.550000</td>\n",
+       "      <td>1.833333</td>\n",
+       "      <td>4.55</td>\n",
+       "      <td>1.150000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3794</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2024-01-08</td>\n",
+       "      <td>2024-01-08T00:01:00</td>\n",
+       "      <td>2024-01-08T07:34:00</td>\n",
+       "      <td>27180</td>\n",
+       "      <td>4140</td>\n",
+       "      <td>6600</td>\n",
+       "      <td>16380</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.997792</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>7.550000</td>\n",
+       "      <td>1.833333</td>\n",
+       "      <td>4.55</td>\n",
+       "      <td>1.150000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3795</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2024-01-08</td>\n",
+       "      <td>2024-01-08T00:01:00</td>\n",
+       "      <td>2024-01-08T07:34:00</td>\n",
+       "      <td>27180</td>\n",
+       "      <td>4140</td>\n",
+       "      <td>6600</td>\n",
+       "      <td>16380</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.997792</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>7.550000</td>\n",
+       "      <td>1.833333</td>\n",
+       "      <td>4.55</td>\n",
+       "      <td>1.150000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3796 rows × 15 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     User First Name Calendar Date (Local)   Start Time (Local)  \\\n",
+       "0                P10            2023-12-22  2023-12-22T01:17:00   \n",
+       "1                P10            2023-12-22  2023-12-22T01:17:00   \n",
+       "2                P10            2023-12-22  2023-12-22T01:17:00   \n",
+       "3                P10            2023-12-22  2023-12-22T01:17:00   \n",
+       "4                P10            2023-12-22  2023-12-22T01:17:00   \n",
+       "...              ...                   ...                  ...   \n",
+       "3791             P14            2024-01-08  2024-01-08T00:01:00   \n",
+       "3792             P14            2024-01-08  2024-01-08T00:01:00   \n",
+       "3793             P14            2024-01-08  2024-01-08T00:01:00   \n",
+       "3794             P14            2024-01-08  2024-01-08T00:01:00   \n",
+       "3795             P14            2024-01-08  2024-01-08T00:01:00   \n",
+       "\n",
+       "         End Time (Local)  Duration (s)  Rem Sleep Duration (s)  \\\n",
+       "0     2023-12-22T09:03:00         27960                    8400   \n",
+       "1     2023-12-22T09:03:00         27960                    8400   \n",
+       "2     2023-12-22T09:03:00         27960                    8400   \n",
+       "3     2023-12-22T09:03:00         27960                    8400   \n",
+       "4     2023-12-22T09:03:00         27960                    8400   \n",
+       "...                   ...           ...                     ...   \n",
+       "3791  2024-01-08T07:34:00         27180                    4140   \n",
+       "3792  2024-01-08T07:34:00         27180                    4140   \n",
+       "3793  2024-01-08T07:34:00         27180                    4140   \n",
+       "3794  2024-01-08T07:34:00         27180                    4140   \n",
+       "3795  2024-01-08T07:34:00         27180                    4140   \n",
+       "\n",
+       "      Deep Sleep Duration (s)  Light Sleep Duration (s)  Source  \\\n",
+       "0                        3000                     16560  device   \n",
+       "1                        3000                     16560  device   \n",
+       "2                        3000                     16560  device   \n",
+       "3                        3000                     16560  device   \n",
+       "4                        3000                     16560  device   \n",
+       "...                       ...                       ...     ...   \n",
+       "3791                     6600                     16380  device   \n",
+       "3792                     6600                     16380  device   \n",
+       "3793                     6600                     16380  device   \n",
+       "3794                     6600                     16380  device   \n",
+       "3795                     6600                     16380  device   \n",
+       "\n",
+       "      Sleep Efficiency  Sleep Score Value  Duration (h)  \\\n",
+       "0             1.000000               94.0      7.766667   \n",
+       "1             1.000000               94.0      7.766667   \n",
+       "2             1.000000               94.0      7.766667   \n",
+       "3             1.000000               94.0      7.766667   \n",
+       "4             1.000000               94.0      7.766667   \n",
+       "...                ...                ...           ...   \n",
+       "3791          0.997792               92.0      7.550000   \n",
+       "3792          0.997792               92.0      7.550000   \n",
+       "3793          0.997792               92.0      7.550000   \n",
+       "3794          0.997792               92.0      7.550000   \n",
+       "3795          0.997792               92.0      7.550000   \n",
+       "\n",
+       "      Deep Sleep Duration (h)  Light Sleep Duration (h)  \\\n",
+       "0                    0.833333                      4.60   \n",
+       "1                    0.833333                      4.60   \n",
+       "2                    0.833333                      4.60   \n",
+       "3                    0.833333                      4.60   \n",
+       "4                    0.833333                      4.60   \n",
+       "...                       ...                       ...   \n",
+       "3791                 1.833333                      4.55   \n",
+       "3792                 1.833333                      4.55   \n",
+       "3793                 1.833333                      4.55   \n",
+       "3794                 1.833333                      4.55   \n",
+       "3795                 1.833333                      4.55   \n",
+       "\n",
+       "      Rem Sleep Duration (h)  \n",
+       "0                   2.333333  \n",
+       "1                   2.333333  \n",
+       "2                   2.333333  \n",
+       "3                   2.333333  \n",
+       "4                   2.333333  \n",
+       "...                      ...  \n",
+       "3791                1.150000  \n",
+       "3792                1.150000  \n",
+       "3793                1.150000  \n",
+       "3794                1.150000  \n",
+       "3795                1.150000  \n",
+       "\n",
+       "[3796 rows x 15 columns]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Load dataset\n",
+    "s_df = pd.read_csv('../data/garmin/sleep.csv', sep=',')\n",
+    "\n",
+    "# Trim columns\n",
+    "s_df = s_df.loc[:, ['User First Name', 'Calendar Date (Local)', 'Start Time (Local)', 'End Time (Local)', 'Duration (s)', 'Rem Sleep Duration (s)', 'Deep Sleep Duration (s)', 'Light Sleep Duration (s)', 'Source', 'Sleep Efficiency', 'Sleep Score Value']]\n",
+    "\n",
+    "# Convert data types\n",
+    "s_df['Calendar Date (Local)'] = pd.to_datetime(s_df['Calendar Date (Local)'])\n",
+    "\n",
+    "# Add column with calculated sleep hours\n",
+    "s_df['Duration (h)'] = s_df['Duration (s)'] / 60 / 60\n",
+    "s_df['Deep Sleep Duration (h)'] = s_df['Deep Sleep Duration (s)'] / 60 / 60\n",
+    "s_df['Light Sleep Duration (h)'] = s_df['Light Sleep Duration (s)'] / 60 / 60\n",
+    "s_df['Rem Sleep Duration (h)'] = s_df['Rem Sleep Duration (s)'] / 60 / 60\n",
+    "\n",
+    "s_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['P10' 'P11' 'P12' 'P14']\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>User First Name</th>\n",
+       "      <th>Calendar Date (Local)</th>\n",
+       "      <th>Start Time (Local)</th>\n",
+       "      <th>End Time (Local)</th>\n",
+       "      <th>Duration (s)</th>\n",
+       "      <th>Rem Sleep Duration (s)</th>\n",
+       "      <th>Deep Sleep Duration (s)</th>\n",
+       "      <th>Light Sleep Duration (s)</th>\n",
+       "      <th>Source</th>\n",
+       "      <th>Sleep Efficiency</th>\n",
+       "      <th>Sleep Score Value</th>\n",
+       "      <th>Duration (h)</th>\n",
+       "      <th>Deep Sleep Duration (h)</th>\n",
+       "      <th>Light Sleep Duration (h)</th>\n",
+       "      <th>Rem Sleep Duration (h)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2709</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2023-12-21</td>\n",
+       "      <td>2023-12-21T23:42:00</td>\n",
+       "      <td>2023-12-22T07:36:00</td>\n",
+       "      <td>28440</td>\n",
+       "      <td>7980</td>\n",
+       "      <td>3420</td>\n",
+       "      <td>16320</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.974684</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>7.900000</td>\n",
+       "      <td>0.950000</td>\n",
+       "      <td>4.533333</td>\n",
+       "      <td>2.216667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-22</td>\n",
+       "      <td>2023-12-22T01:17:00</td>\n",
+       "      <td>2023-12-22T09:03:00</td>\n",
+       "      <td>27960</td>\n",
+       "      <td>8400</td>\n",
+       "      <td>3000</td>\n",
+       "      <td>16560</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>7.766667</td>\n",
+       "      <td>0.833333</td>\n",
+       "      <td>4.600000</td>\n",
+       "      <td>2.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2732</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2023-12-22</td>\n",
+       "      <td>2023-12-22T22:50:00</td>\n",
+       "      <td>2023-12-23T06:16:00</td>\n",
+       "      <td>26760</td>\n",
+       "      <td>5460</td>\n",
+       "      <td>5940</td>\n",
+       "      <td>15240</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.995516</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>7.433333</td>\n",
+       "      <td>1.650000</td>\n",
+       "      <td>4.233333</td>\n",
+       "      <td>1.516667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1289</th>\n",
+       "      <td>P12</td>\n",
+       "      <td>2023-12-23</td>\n",
+       "      <td>2023-12-23T00:52:00</td>\n",
+       "      <td>2023-12-23T08:45:00</td>\n",
+       "      <td>28380</td>\n",
+       "      <td>48240</td>\n",
+       "      <td>31680</td>\n",
+       "      <td>172800</td>\n",
+       "      <td>device</td>\n",
+       "      <td>-0.902748</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>7.883333</td>\n",
+       "      <td>8.800000</td>\n",
+       "      <td>48.000000</td>\n",
+       "      <td>13.400000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2752</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2023-12-24</td>\n",
+       "      <td>2023-12-24T00:05:00</td>\n",
+       "      <td>2023-12-24T09:45:00</td>\n",
+       "      <td>34800</td>\n",
+       "      <td>10080</td>\n",
+       "      <td>5760</td>\n",
+       "      <td>18780</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.994828</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>9.666667</td>\n",
+       "      <td>1.600000</td>\n",
+       "      <td>5.216667</td>\n",
+       "      <td>2.800000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2061</th>\n",
+       "      <td>P12</td>\n",
+       "      <td>2023-12-24</td>\n",
+       "      <td>2023-12-24T00:48:00</td>\n",
+       "      <td>2023-12-24T05:14:40</td>\n",
+       "      <td>16000</td>\n",
+       "      <td>2200</td>\n",
+       "      <td>5040</td>\n",
+       "      <td>7500</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.996250</td>\n",
+       "      <td>56.0</td>\n",
+       "      <td>4.444444</td>\n",
+       "      <td>1.400000</td>\n",
+       "      <td>2.083333</td>\n",
+       "      <td>0.611111</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>196</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-24</td>\n",
+       "      <td>2023-12-24T01:13:00</td>\n",
+       "      <td>2023-12-24T08:56:00</td>\n",
+       "      <td>27780</td>\n",
+       "      <td>6000</td>\n",
+       "      <td>5580</td>\n",
+       "      <td>15060</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.958963</td>\n",
+       "      <td>81.0</td>\n",
+       "      <td>7.716667</td>\n",
+       "      <td>1.550000</td>\n",
+       "      <td>4.183333</td>\n",
+       "      <td>1.666667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2784</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2023-12-25</td>\n",
+       "      <td>2023-12-25T00:10:00</td>\n",
+       "      <td>2023-12-25T08:52:00</td>\n",
+       "      <td>31320</td>\n",
+       "      <td>5640</td>\n",
+       "      <td>4380</td>\n",
+       "      <td>20580</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.977012</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>8.700000</td>\n",
+       "      <td>1.216667</td>\n",
+       "      <td>5.716667</td>\n",
+       "      <td>1.566667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2073</th>\n",
+       "      <td>P12</td>\n",
+       "      <td>2023-12-25</td>\n",
+       "      <td>2023-12-25T00:31:00</td>\n",
+       "      <td>2023-12-25T10:21:00</td>\n",
+       "      <td>35400</td>\n",
+       "      <td>7200</td>\n",
+       "      <td>3600</td>\n",
+       "      <td>19920</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.947458</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>9.833333</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>5.533333</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>276</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-25</td>\n",
+       "      <td>2023-12-25T01:07:00</td>\n",
+       "      <td>2023-12-25T09:41:00</td>\n",
+       "      <td>30840</td>\n",
+       "      <td>11160</td>\n",
+       "      <td>6780</td>\n",
+       "      <td>12900</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>8.566667</td>\n",
+       "      <td>1.883333</td>\n",
+       "      <td>3.583333</td>\n",
+       "      <td>3.100000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2804</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2023-12-26</td>\n",
+       "      <td>2023-12-26T00:03:00</td>\n",
+       "      <td>2023-12-26T09:58:00</td>\n",
+       "      <td>35700</td>\n",
+       "      <td>8400</td>\n",
+       "      <td>5040</td>\n",
+       "      <td>22020</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.993277</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>9.916667</td>\n",
+       "      <td>1.400000</td>\n",
+       "      <td>6.116667</td>\n",
+       "      <td>2.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2101</th>\n",
+       "      <td>P12</td>\n",
+       "      <td>2023-12-26</td>\n",
+       "      <td>2023-12-26T01:06:00</td>\n",
+       "      <td>2023-12-26T09:38:00</td>\n",
+       "      <td>30720</td>\n",
+       "      <td>2400</td>\n",
+       "      <td>3600</td>\n",
+       "      <td>20100</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.882812</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>8.533333</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>5.583333</td>\n",
+       "      <td>0.666667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>320</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-26</td>\n",
+       "      <td>2023-12-26T01:50:00</td>\n",
+       "      <td>2023-12-26T09:03:00</td>\n",
+       "      <td>25980</td>\n",
+       "      <td>6960</td>\n",
+       "      <td>6240</td>\n",
+       "      <td>12780</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>7.216667</td>\n",
+       "      <td>1.733333</td>\n",
+       "      <td>3.550000</td>\n",
+       "      <td>1.933333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2134</th>\n",
+       "      <td>P12</td>\n",
+       "      <td>2023-12-27</td>\n",
+       "      <td>2023-12-27T00:27:00</td>\n",
+       "      <td>2023-12-27T07:52:00</td>\n",
+       "      <td>26700</td>\n",
+       "      <td>6720</td>\n",
+       "      <td>4140</td>\n",
+       "      <td>14640</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.955056</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>7.416667</td>\n",
+       "      <td>1.150000</td>\n",
+       "      <td>4.066667</td>\n",
+       "      <td>1.866667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>339</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-27</td>\n",
+       "      <td>2023-12-27T01:20:00</td>\n",
+       "      <td>2023-12-27T09:16:00</td>\n",
+       "      <td>28560</td>\n",
+       "      <td>8040</td>\n",
+       "      <td>5460</td>\n",
+       "      <td>14640</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.985294</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>7.933333</td>\n",
+       "      <td>1.516667</td>\n",
+       "      <td>4.066667</td>\n",
+       "      <td>2.233333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2849</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2023-12-27</td>\n",
+       "      <td>2023-12-27T02:06:00</td>\n",
+       "      <td>2023-12-27T07:03:55</td>\n",
+       "      <td>17875</td>\n",
+       "      <td>3955</td>\n",
+       "      <td>1740</td>\n",
+       "      <td>12060</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.993287</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4.965278</td>\n",
+       "      <td>0.483333</td>\n",
+       "      <td>3.350000</td>\n",
+       "      <td>1.098611</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>363</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-28</td>\n",
+       "      <td>2023-12-28T00:54:00</td>\n",
+       "      <td>2023-12-28T08:48:00</td>\n",
+       "      <td>28440</td>\n",
+       "      <td>6660</td>\n",
+       "      <td>6960</td>\n",
+       "      <td>14280</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.981013</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>7.900000</td>\n",
+       "      <td>1.933333</td>\n",
+       "      <td>3.966667</td>\n",
+       "      <td>1.850000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2170</th>\n",
+       "      <td>P12</td>\n",
+       "      <td>2023-12-28</td>\n",
+       "      <td>2023-12-28T01:13:00</td>\n",
+       "      <td>2023-12-28T07:31:00</td>\n",
+       "      <td>22680</td>\n",
+       "      <td>4380</td>\n",
+       "      <td>6240</td>\n",
+       "      <td>12060</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>79.0</td>\n",
+       "      <td>6.300000</td>\n",
+       "      <td>1.733333</td>\n",
+       "      <td>3.350000</td>\n",
+       "      <td>1.216667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3074</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2023-12-28</td>\n",
+       "      <td>2023-12-28T01:44:00</td>\n",
+       "      <td>2023-12-28T08:08:00</td>\n",
+       "      <td>23040</td>\n",
+       "      <td>8280</td>\n",
+       "      <td>1980</td>\n",
+       "      <td>12780</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6.400000</td>\n",
+       "      <td>0.550000</td>\n",
+       "      <td>3.550000</td>\n",
+       "      <td>2.300000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3453</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2023-12-29</td>\n",
+       "      <td>2023-12-29T00:56:00</td>\n",
+       "      <td>2023-12-29T08:55:00</td>\n",
+       "      <td>28740</td>\n",
+       "      <td>9300</td>\n",
+       "      <td>2160</td>\n",
+       "      <td>15720</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.945720</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.983333</td>\n",
+       "      <td>0.600000</td>\n",
+       "      <td>4.366667</td>\n",
+       "      <td>2.583333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2187</th>\n",
+       "      <td>P12</td>\n",
+       "      <td>2023-12-29</td>\n",
+       "      <td>2023-12-29T01:14:00</td>\n",
+       "      <td>2023-12-29T08:58:00</td>\n",
+       "      <td>27840</td>\n",
+       "      <td>6120</td>\n",
+       "      <td>5160</td>\n",
+       "      <td>14100</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.911638</td>\n",
+       "      <td>78.0</td>\n",
+       "      <td>7.733333</td>\n",
+       "      <td>1.433333</td>\n",
+       "      <td>3.916667</td>\n",
+       "      <td>1.700000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>678</th>\n",
+       "      <td>P11</td>\n",
+       "      <td>2023-12-29</td>\n",
+       "      <td>2023-12-29T01:30:00</td>\n",
+       "      <td>2023-12-29T08:50:00</td>\n",
+       "      <td>26400</td>\n",
+       "      <td>5220</td>\n",
+       "      <td>6660</td>\n",
+       "      <td>11640</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.890909</td>\n",
+       "      <td>76.0</td>\n",
+       "      <td>7.333333</td>\n",
+       "      <td>1.850000</td>\n",
+       "      <td>3.233333</td>\n",
+       "      <td>1.450000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>405</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-29</td>\n",
+       "      <td>2023-12-29T23:54:00</td>\n",
+       "      <td>2023-12-30T08:58:00</td>\n",
+       "      <td>32640</td>\n",
+       "      <td>9660</td>\n",
+       "      <td>3360</td>\n",
+       "      <td>19560</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.998162</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>9.066667</td>\n",
+       "      <td>0.933333</td>\n",
+       "      <td>5.433333</td>\n",
+       "      <td>2.683333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3620</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2023-12-30</td>\n",
+       "      <td>2023-12-30T00:18:00</td>\n",
+       "      <td>2023-12-30T09:02:00</td>\n",
+       "      <td>31440</td>\n",
+       "      <td>6900</td>\n",
+       "      <td>7320</td>\n",
+       "      <td>16800</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.986641</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>8.733333</td>\n",
+       "      <td>2.033333</td>\n",
+       "      <td>4.666667</td>\n",
+       "      <td>1.916667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>702</th>\n",
+       "      <td>P11</td>\n",
+       "      <td>2023-12-30</td>\n",
+       "      <td>2023-12-30T02:32:00</td>\n",
+       "      <td>2023-12-30T08:17:00</td>\n",
+       "      <td>20700</td>\n",
+       "      <td>2940</td>\n",
+       "      <td>3960</td>\n",
+       "      <td>10680</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.849275</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>5.750000</td>\n",
+       "      <td>1.100000</td>\n",
+       "      <td>2.966667</td>\n",
+       "      <td>0.816667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2212</th>\n",
+       "      <td>P12</td>\n",
+       "      <td>2023-12-30</td>\n",
+       "      <td>2023-12-30T03:16:00</td>\n",
+       "      <td>2023-12-30T11:35:00</td>\n",
+       "      <td>29940</td>\n",
+       "      <td>5040</td>\n",
+       "      <td>4380</td>\n",
+       "      <td>13800</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.843687</td>\n",
+       "      <td>79.0</td>\n",
+       "      <td>8.316667</td>\n",
+       "      <td>1.216667</td>\n",
+       "      <td>3.833333</td>\n",
+       "      <td>1.400000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>419</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2023-12-31</td>\n",
+       "      <td>2023-12-31T00:40:00</td>\n",
+       "      <td>2023-12-31T09:08:00</td>\n",
+       "      <td>30480</td>\n",
+       "      <td>10680</td>\n",
+       "      <td>7620</td>\n",
+       "      <td>12060</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.996063</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>8.466667</td>\n",
+       "      <td>2.116667</td>\n",
+       "      <td>3.350000</td>\n",
+       "      <td>2.966667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3642</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2023-12-31</td>\n",
+       "      <td>2023-12-31T01:01:00</td>\n",
+       "      <td>2023-12-31T09:13:00</td>\n",
+       "      <td>29520</td>\n",
+       "      <td>5160</td>\n",
+       "      <td>5460</td>\n",
+       "      <td>18000</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.969512</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>8.200000</td>\n",
+       "      <td>1.516667</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>1.433333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2233</th>\n",
+       "      <td>P12</td>\n",
+       "      <td>2023-12-31</td>\n",
+       "      <td>2023-12-31T02:16:00</td>\n",
+       "      <td>2023-12-31T11:40:00</td>\n",
+       "      <td>33840</td>\n",
+       "      <td>8400</td>\n",
+       "      <td>3780</td>\n",
+       "      <td>18840</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.932624</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>9.400000</td>\n",
+       "      <td>1.050000</td>\n",
+       "      <td>5.233333</td>\n",
+       "      <td>2.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>721</th>\n",
+       "      <td>P11</td>\n",
+       "      <td>2023-12-31</td>\n",
+       "      <td>2023-12-31T02:51:00</td>\n",
+       "      <td>2023-12-31T07:42:00</td>\n",
+       "      <td>17460</td>\n",
+       "      <td>3960</td>\n",
+       "      <td>3360</td>\n",
+       "      <td>9120</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.941581</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>4.850000</td>\n",
+       "      <td>0.933333</td>\n",
+       "      <td>2.533333</td>\n",
+       "      <td>1.100000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2266</th>\n",
+       "      <td>P12</td>\n",
+       "      <td>2024-01-01</td>\n",
+       "      <td>2024-01-01T02:20:00</td>\n",
+       "      <td>2024-01-01T09:42:00</td>\n",
+       "      <td>26520</td>\n",
+       "      <td>3000</td>\n",
+       "      <td>9000</td>\n",
+       "      <td>30720</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.610860</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>7.366667</td>\n",
+       "      <td>2.500000</td>\n",
+       "      <td>8.533333</td>\n",
+       "      <td>0.833333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3668</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2024-01-01</td>\n",
+       "      <td>2024-01-01T02:37:00</td>\n",
+       "      <td>2024-01-01T09:56:00</td>\n",
+       "      <td>26340</td>\n",
+       "      <td>6300</td>\n",
+       "      <td>6240</td>\n",
+       "      <td>12960</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.968109</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>7.316667</td>\n",
+       "      <td>1.733333</td>\n",
+       "      <td>3.600000</td>\n",
+       "      <td>1.750000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>514</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2024-01-02</td>\n",
+       "      <td>2024-01-02T00:22:00</td>\n",
+       "      <td>2024-01-02T09:27:00</td>\n",
+       "      <td>32700</td>\n",
+       "      <td>19920</td>\n",
+       "      <td>10080</td>\n",
+       "      <td>35280</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.996330</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>9.083333</td>\n",
+       "      <td>2.800000</td>\n",
+       "      <td>9.800000</td>\n",
+       "      <td>5.533333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3704</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2024-01-02</td>\n",
+       "      <td>2024-01-02T23:43:00</td>\n",
+       "      <td>2024-01-03T07:31:00</td>\n",
+       "      <td>28080</td>\n",
+       "      <td>4260</td>\n",
+       "      <td>4500</td>\n",
+       "      <td>18960</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.987179</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>7.800000</td>\n",
+       "      <td>1.250000</td>\n",
+       "      <td>5.266667</td>\n",
+       "      <td>1.183333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>783</th>\n",
+       "      <td>P11</td>\n",
+       "      <td>2024-01-03</td>\n",
+       "      <td>2024-01-03T01:45:00</td>\n",
+       "      <td>2024-01-03T08:01:00</td>\n",
+       "      <td>22560</td>\n",
+       "      <td>4020</td>\n",
+       "      <td>6240</td>\n",
+       "      <td>10380</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.914894</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>6.266667</td>\n",
+       "      <td>1.733333</td>\n",
+       "      <td>2.883333</td>\n",
+       "      <td>1.116667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2365</th>\n",
+       "      <td>P12</td>\n",
+       "      <td>2024-01-03</td>\n",
+       "      <td>2024-01-03T02:24:00</td>\n",
+       "      <td>2024-01-03T09:01:00</td>\n",
+       "      <td>23820</td>\n",
+       "      <td>3660</td>\n",
+       "      <td>5220</td>\n",
+       "      <td>13200</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.959698</td>\n",
+       "      <td>77.0</td>\n",
+       "      <td>6.616667</td>\n",
+       "      <td>1.450000</td>\n",
+       "      <td>3.666667</td>\n",
+       "      <td>1.016667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3718</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2024-01-03</td>\n",
+       "      <td>2024-01-03T23:42:00</td>\n",
+       "      <td>2024-01-04T07:16:00</td>\n",
+       "      <td>27240</td>\n",
+       "      <td>6360</td>\n",
+       "      <td>3360</td>\n",
+       "      <td>17520</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>82.0</td>\n",
+       "      <td>7.566667</td>\n",
+       "      <td>0.933333</td>\n",
+       "      <td>4.866667</td>\n",
+       "      <td>1.766667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>796</th>\n",
+       "      <td>P11</td>\n",
+       "      <td>2024-01-04</td>\n",
+       "      <td>2024-01-04T00:49:00</td>\n",
+       "      <td>2024-01-04T08:05:00</td>\n",
+       "      <td>26160</td>\n",
+       "      <td>7200</td>\n",
+       "      <td>9720</td>\n",
+       "      <td>27480</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.697248</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>7.266667</td>\n",
+       "      <td>2.700000</td>\n",
+       "      <td>7.633333</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2382</th>\n",
+       "      <td>P12</td>\n",
+       "      <td>2024-01-04</td>\n",
+       "      <td>2024-01-04T01:07:00</td>\n",
+       "      <td>2024-01-04T06:13:00</td>\n",
+       "      <td>18360</td>\n",
+       "      <td>7200</td>\n",
+       "      <td>17040</td>\n",
+       "      <td>31920</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.777778</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>5.100000</td>\n",
+       "      <td>4.733333</td>\n",
+       "      <td>8.866667</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>661</th>\n",
+       "      <td>P10</td>\n",
+       "      <td>2024-01-04</td>\n",
+       "      <td>2024-01-04T01:32:00</td>\n",
+       "      <td>2024-01-04T09:25:00</td>\n",
+       "      <td>28380</td>\n",
+       "      <td>8640</td>\n",
+       "      <td>5400</td>\n",
+       "      <td>14340</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>7.883333</td>\n",
+       "      <td>1.500000</td>\n",
+       "      <td>3.983333</td>\n",
+       "      <td>2.400000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3732</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2024-01-04</td>\n",
+       "      <td>2024-01-04T22:38:00</td>\n",
+       "      <td>2024-01-05T06:16:00</td>\n",
+       "      <td>27480</td>\n",
+       "      <td>5040</td>\n",
+       "      <td>4740</td>\n",
+       "      <td>17700</td>\n",
+       "      <td>device</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>7.633333</td>\n",
+       "      <td>1.316667</td>\n",
+       "      <td>4.916667</td>\n",
+       "      <td>1.400000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>939</th>\n",
+       "      <td>P11</td>\n",
+       "      <td>2024-01-05</td>\n",
+       "      <td>2024-01-05T01:28:00</td>\n",
+       "      <td>2024-01-05T09:10:00</td>\n",
+       "      <td>27720</td>\n",
+       "      <td>6420</td>\n",
+       "      <td>7680</td>\n",
+       "      <td>11100</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.909091</td>\n",
+       "      <td>74.0</td>\n",
+       "      <td>7.700000</td>\n",
+       "      <td>2.133333</td>\n",
+       "      <td>3.083333</td>\n",
+       "      <td>1.783333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3743</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2024-01-05</td>\n",
+       "      <td>2024-01-05T23:22:00</td>\n",
+       "      <td>2024-01-06T06:59:00</td>\n",
+       "      <td>27420</td>\n",
+       "      <td>8880</td>\n",
+       "      <td>12120</td>\n",
+       "      <td>33720</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.995624</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>7.616667</td>\n",
+       "      <td>3.366667</td>\n",
+       "      <td>9.366667</td>\n",
+       "      <td>2.466667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3780</th>\n",
+       "      <td>P14</td>\n",
+       "      <td>2024-01-08</td>\n",
+       "      <td>2024-01-08T00:01:00</td>\n",
+       "      <td>2024-01-08T07:34:00</td>\n",
+       "      <td>27180</td>\n",
+       "      <td>4140</td>\n",
+       "      <td>6600</td>\n",
+       "      <td>16380</td>\n",
+       "      <td>device</td>\n",
+       "      <td>0.997792</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>7.550000</td>\n",
+       "      <td>1.833333</td>\n",
+       "      <td>4.550000</td>\n",
+       "      <td>1.150000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     User First Name Calendar Date (Local)   Start Time (Local)  \\\n",
+       "2709             P14            2023-12-21  2023-12-21T23:42:00   \n",
+       "0                P10            2023-12-22  2023-12-22T01:17:00   \n",
+       "2732             P14            2023-12-22  2023-12-22T22:50:00   \n",
+       "1289             P12            2023-12-23  2023-12-23T00:52:00   \n",
+       "2752             P14            2023-12-24  2023-12-24T00:05:00   \n",
+       "2061             P12            2023-12-24  2023-12-24T00:48:00   \n",
+       "196              P10            2023-12-24  2023-12-24T01:13:00   \n",
+       "2784             P14            2023-12-25  2023-12-25T00:10:00   \n",
+       "2073             P12            2023-12-25  2023-12-25T00:31:00   \n",
+       "276              P10            2023-12-25  2023-12-25T01:07:00   \n",
+       "2804             P14            2023-12-26  2023-12-26T00:03:00   \n",
+       "2101             P12            2023-12-26  2023-12-26T01:06:00   \n",
+       "320              P10            2023-12-26  2023-12-26T01:50:00   \n",
+       "2134             P12            2023-12-27  2023-12-27T00:27:00   \n",
+       "339              P10            2023-12-27  2023-12-27T01:20:00   \n",
+       "2849             P14            2023-12-27  2023-12-27T02:06:00   \n",
+       "363              P10            2023-12-28  2023-12-28T00:54:00   \n",
+       "2170             P12            2023-12-28  2023-12-28T01:13:00   \n",
+       "3074             P14            2023-12-28  2023-12-28T01:44:00   \n",
+       "3453             P14            2023-12-29  2023-12-29T00:56:00   \n",
+       "2187             P12            2023-12-29  2023-12-29T01:14:00   \n",
+       "678              P11            2023-12-29  2023-12-29T01:30:00   \n",
+       "405              P10            2023-12-29  2023-12-29T23:54:00   \n",
+       "3620             P14            2023-12-30  2023-12-30T00:18:00   \n",
+       "702              P11            2023-12-30  2023-12-30T02:32:00   \n",
+       "2212             P12            2023-12-30  2023-12-30T03:16:00   \n",
+       "419              P10            2023-12-31  2023-12-31T00:40:00   \n",
+       "3642             P14            2023-12-31  2023-12-31T01:01:00   \n",
+       "2233             P12            2023-12-31  2023-12-31T02:16:00   \n",
+       "721              P11            2023-12-31  2023-12-31T02:51:00   \n",
+       "2266             P12            2024-01-01  2024-01-01T02:20:00   \n",
+       "3668             P14            2024-01-01  2024-01-01T02:37:00   \n",
+       "514              P10            2024-01-02  2024-01-02T00:22:00   \n",
+       "3704             P14            2024-01-02  2024-01-02T23:43:00   \n",
+       "783              P11            2024-01-03  2024-01-03T01:45:00   \n",
+       "2365             P12            2024-01-03  2024-01-03T02:24:00   \n",
+       "3718             P14            2024-01-03  2024-01-03T23:42:00   \n",
+       "796              P11            2024-01-04  2024-01-04T00:49:00   \n",
+       "2382             P12            2024-01-04  2024-01-04T01:07:00   \n",
+       "661              P10            2024-01-04  2024-01-04T01:32:00   \n",
+       "3732             P14            2024-01-04  2024-01-04T22:38:00   \n",
+       "939              P11            2024-01-05  2024-01-05T01:28:00   \n",
+       "3743             P14            2024-01-05  2024-01-05T23:22:00   \n",
+       "3780             P14            2024-01-08  2024-01-08T00:01:00   \n",
+       "\n",
+       "         End Time (Local)  Duration (s)  Rem Sleep Duration (s)  \\\n",
+       "2709  2023-12-22T07:36:00         28440                    7980   \n",
+       "0     2023-12-22T09:03:00         27960                    8400   \n",
+       "2732  2023-12-23T06:16:00         26760                    5460   \n",
+       "1289  2023-12-23T08:45:00         28380                   48240   \n",
+       "2752  2023-12-24T09:45:00         34800                   10080   \n",
+       "2061  2023-12-24T05:14:40         16000                    2200   \n",
+       "196   2023-12-24T08:56:00         27780                    6000   \n",
+       "2784  2023-12-25T08:52:00         31320                    5640   \n",
+       "2073  2023-12-25T10:21:00         35400                    7200   \n",
+       "276   2023-12-25T09:41:00         30840                   11160   \n",
+       "2804  2023-12-26T09:58:00         35700                    8400   \n",
+       "2101  2023-12-26T09:38:00         30720                    2400   \n",
+       "320   2023-12-26T09:03:00         25980                    6960   \n",
+       "2134  2023-12-27T07:52:00         26700                    6720   \n",
+       "339   2023-12-27T09:16:00         28560                    8040   \n",
+       "2849  2023-12-27T07:03:55         17875                    3955   \n",
+       "363   2023-12-28T08:48:00         28440                    6660   \n",
+       "2170  2023-12-28T07:31:00         22680                    4380   \n",
+       "3074  2023-12-28T08:08:00         23040                    8280   \n",
+       "3453  2023-12-29T08:55:00         28740                    9300   \n",
+       "2187  2023-12-29T08:58:00         27840                    6120   \n",
+       "678   2023-12-29T08:50:00         26400                    5220   \n",
+       "405   2023-12-30T08:58:00         32640                    9660   \n",
+       "3620  2023-12-30T09:02:00         31440                    6900   \n",
+       "702   2023-12-30T08:17:00         20700                    2940   \n",
+       "2212  2023-12-30T11:35:00         29940                    5040   \n",
+       "419   2023-12-31T09:08:00         30480                   10680   \n",
+       "3642  2023-12-31T09:13:00         29520                    5160   \n",
+       "2233  2023-12-31T11:40:00         33840                    8400   \n",
+       "721   2023-12-31T07:42:00         17460                    3960   \n",
+       "2266  2024-01-01T09:42:00         26520                    3000   \n",
+       "3668  2024-01-01T09:56:00         26340                    6300   \n",
+       "514   2024-01-02T09:27:00         32700                   19920   \n",
+       "3704  2024-01-03T07:31:00         28080                    4260   \n",
+       "783   2024-01-03T08:01:00         22560                    4020   \n",
+       "2365  2024-01-03T09:01:00         23820                    3660   \n",
+       "3718  2024-01-04T07:16:00         27240                    6360   \n",
+       "796   2024-01-04T08:05:00         26160                    7200   \n",
+       "2382  2024-01-04T06:13:00         18360                    7200   \n",
+       "661   2024-01-04T09:25:00         28380                    8640   \n",
+       "3732  2024-01-05T06:16:00         27480                    5040   \n",
+       "939   2024-01-05T09:10:00         27720                    6420   \n",
+       "3743  2024-01-06T06:59:00         27420                    8880   \n",
+       "3780  2024-01-08T07:34:00         27180                    4140   \n",
+       "\n",
+       "      Deep Sleep Duration (s)  Light Sleep Duration (s)  Source  \\\n",
+       "2709                     3420                     16320  device   \n",
+       "0                        3000                     16560  device   \n",
+       "2732                     5940                     15240  device   \n",
+       "1289                    31680                    172800  device   \n",
+       "2752                     5760                     18780  device   \n",
+       "2061                     5040                      7500  device   \n",
+       "196                      5580                     15060  device   \n",
+       "2784                     4380                     20580  device   \n",
+       "2073                     3600                     19920  device   \n",
+       "276                      6780                     12900  device   \n",
+       "2804                     5040                     22020  device   \n",
+       "2101                     3600                     20100  device   \n",
+       "320                      6240                     12780  device   \n",
+       "2134                     4140                     14640  device   \n",
+       "339                      5460                     14640  device   \n",
+       "2849                     1740                     12060  device   \n",
+       "363                      6960                     14280  device   \n",
+       "2170                     6240                     12060  device   \n",
+       "3074                     1980                     12780  device   \n",
+       "3453                     2160                     15720  device   \n",
+       "2187                     5160                     14100  device   \n",
+       "678                      6660                     11640  device   \n",
+       "405                      3360                     19560  device   \n",
+       "3620                     7320                     16800  device   \n",
+       "702                      3960                     10680  device   \n",
+       "2212                     4380                     13800  device   \n",
+       "419                      7620                     12060  device   \n",
+       "3642                     5460                     18000  device   \n",
+       "2233                     3780                     18840  device   \n",
+       "721                      3360                      9120  device   \n",
+       "2266                     9000                     30720  device   \n",
+       "3668                     6240                     12960  device   \n",
+       "514                     10080                     35280  device   \n",
+       "3704                     4500                     18960  device   \n",
+       "783                      6240                     10380  device   \n",
+       "2365                     5220                     13200  device   \n",
+       "3718                     3360                     17520  device   \n",
+       "796                      9720                     27480  device   \n",
+       "2382                    17040                     31920  device   \n",
+       "661                      5400                     14340  device   \n",
+       "3732                     4740                     17700  device   \n",
+       "939                      7680                     11100  device   \n",
+       "3743                    12120                     33720  device   \n",
+       "3780                     6600                     16380  device   \n",
+       "\n",
+       "      Sleep Efficiency  Sleep Score Value  Duration (h)  \\\n",
+       "2709          0.974684               92.0      7.900000   \n",
+       "0             1.000000               94.0      7.766667   \n",
+       "2732          0.995516               93.0      7.433333   \n",
+       "1289         -0.902748               67.0      7.883333   \n",
+       "2752          0.994828               94.0      9.666667   \n",
+       "2061          0.996250               56.0      4.444444   \n",
+       "196           0.958963               81.0      7.716667   \n",
+       "2784          0.977012               89.0      8.700000   \n",
+       "2073          0.947458               89.0      9.833333   \n",
+       "276           1.000000               91.0      8.566667   \n",
+       "2804          0.993277               91.0      9.916667   \n",
+       "2101          0.882812               65.0      8.533333   \n",
+       "320           1.000000               90.0      7.216667   \n",
+       "2134          0.955056               85.0      7.416667   \n",
+       "339           0.985294               98.0      7.933333   \n",
+       "2849          0.993287                NaN      4.965278   \n",
+       "363           0.981013               91.0      7.900000   \n",
+       "2170          1.000000               79.0      6.300000   \n",
+       "3074          1.000000                NaN      6.400000   \n",
+       "3453          0.945720                NaN      7.983333   \n",
+       "2187          0.911638               78.0      7.733333   \n",
+       "678           0.890909               76.0      7.333333   \n",
+       "405           0.998162               91.0      9.066667   \n",
+       "3620          0.986641               95.0      8.733333   \n",
+       "702           0.849275               64.0      5.750000   \n",
+       "2212          0.843687               79.0      8.316667   \n",
+       "419           0.996063               94.0      8.466667   \n",
+       "3642          0.969512               91.0      8.200000   \n",
+       "2233          0.932624               84.0      9.400000   \n",
+       "721           0.941581               62.0      4.850000   \n",
+       "2266          0.610860               41.0      7.366667   \n",
+       "3668          0.968109               83.0      7.316667   \n",
+       "514           0.996330               93.0      9.083333   \n",
+       "3704          0.987179               90.0      7.800000   \n",
+       "783           0.914894               47.0      6.266667   \n",
+       "2365          0.959698               77.0      6.616667   \n",
+       "3718          1.000000               82.0      7.566667   \n",
+       "796           0.697248               69.0      7.266667   \n",
+       "2382          0.777778               32.0      5.100000   \n",
+       "661           1.000000               91.0      7.883333   \n",
+       "3732          1.000000               93.0      7.633333   \n",
+       "939           0.909091               74.0      7.700000   \n",
+       "3743          0.995624               89.0      7.616667   \n",
+       "3780          0.997792               92.0      7.550000   \n",
+       "\n",
+       "      Deep Sleep Duration (h)  Light Sleep Duration (h)  \\\n",
+       "2709                 0.950000                  4.533333   \n",
+       "0                    0.833333                  4.600000   \n",
+       "2732                 1.650000                  4.233333   \n",
+       "1289                 8.800000                 48.000000   \n",
+       "2752                 1.600000                  5.216667   \n",
+       "2061                 1.400000                  2.083333   \n",
+       "196                  1.550000                  4.183333   \n",
+       "2784                 1.216667                  5.716667   \n",
+       "2073                 1.000000                  5.533333   \n",
+       "276                  1.883333                  3.583333   \n",
+       "2804                 1.400000                  6.116667   \n",
+       "2101                 1.000000                  5.583333   \n",
+       "320                  1.733333                  3.550000   \n",
+       "2134                 1.150000                  4.066667   \n",
+       "339                  1.516667                  4.066667   \n",
+       "2849                 0.483333                  3.350000   \n",
+       "363                  1.933333                  3.966667   \n",
+       "2170                 1.733333                  3.350000   \n",
+       "3074                 0.550000                  3.550000   \n",
+       "3453                 0.600000                  4.366667   \n",
+       "2187                 1.433333                  3.916667   \n",
+       "678                  1.850000                  3.233333   \n",
+       "405                  0.933333                  5.433333   \n",
+       "3620                 2.033333                  4.666667   \n",
+       "702                  1.100000                  2.966667   \n",
+       "2212                 1.216667                  3.833333   \n",
+       "419                  2.116667                  3.350000   \n",
+       "3642                 1.516667                  5.000000   \n",
+       "2233                 1.050000                  5.233333   \n",
+       "721                  0.933333                  2.533333   \n",
+       "2266                 2.500000                  8.533333   \n",
+       "3668                 1.733333                  3.600000   \n",
+       "514                  2.800000                  9.800000   \n",
+       "3704                 1.250000                  5.266667   \n",
+       "783                  1.733333                  2.883333   \n",
+       "2365                 1.450000                  3.666667   \n",
+       "3718                 0.933333                  4.866667   \n",
+       "796                  2.700000                  7.633333   \n",
+       "2382                 4.733333                  8.866667   \n",
+       "661                  1.500000                  3.983333   \n",
+       "3732                 1.316667                  4.916667   \n",
+       "939                  2.133333                  3.083333   \n",
+       "3743                 3.366667                  9.366667   \n",
+       "3780                 1.833333                  4.550000   \n",
+       "\n",
+       "      Rem Sleep Duration (h)  \n",
+       "2709                2.216667  \n",
+       "0                   2.333333  \n",
+       "2732                1.516667  \n",
+       "1289               13.400000  \n",
+       "2752                2.800000  \n",
+       "2061                0.611111  \n",
+       "196                 1.666667  \n",
+       "2784                1.566667  \n",
+       "2073                2.000000  \n",
+       "276                 3.100000  \n",
+       "2804                2.333333  \n",
+       "2101                0.666667  \n",
+       "320                 1.933333  \n",
+       "2134                1.866667  \n",
+       "339                 2.233333  \n",
+       "2849                1.098611  \n",
+       "363                 1.850000  \n",
+       "2170                1.216667  \n",
+       "3074                2.300000  \n",
+       "3453                2.583333  \n",
+       "2187                1.700000  \n",
+       "678                 1.450000  \n",
+       "405                 2.683333  \n",
+       "3620                1.916667  \n",
+       "702                 0.816667  \n",
+       "2212                1.400000  \n",
+       "419                 2.966667  \n",
+       "3642                1.433333  \n",
+       "2233                2.333333  \n",
+       "721                 1.100000  \n",
+       "2266                0.833333  \n",
+       "3668                1.750000  \n",
+       "514                 5.533333  \n",
+       "3704                1.183333  \n",
+       "783                 1.116667  \n",
+       "2365                1.016667  \n",
+       "3718                1.766667  \n",
+       "796                 2.000000  \n",
+       "2382                2.000000  \n",
+       "661                 2.400000  \n",
+       "3732                1.400000  \n",
+       "939                 1.783333  \n",
+       "3743                2.466667  \n",
+       "3780                1.150000  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Clean data for comparison between individuals\n",
+    "df_users = s_df.drop_duplicates(subset=['Calendar Date (Local)', 'User First Name'])\n",
+    "\n",
+    "# Filter for device source\n",
+    "df_users = df_users[df_users['Source'] == 'device']\n",
+    "\n",
+    "print(df_users['User First Name'].unique())\n",
+    "\n",
+    "df_users.sort_values(by='Start Time (Local)', inplace = True) \n",
+    "\n",
+    "df_users"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sleep Quality and Sleep Duration\n",
+    "## Accross all users"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Correlation Coefficient: 0.6507906882627551\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "column1 = df_users['Duration (h)']\n",
+    "column2 = df_users['Sleep Score Value']\n",
+    "\n",
+    "# Calculate the correlation coefficient\n",
+    "correlation_coefficient = column1.corr(column2)\n",
+    "\n",
+    "print(f'Correlation Coefficient: {correlation_coefficient}')\n",
+    "\n",
+    "# Create a scatter plot\n",
+    "color_dict = { 'P10':'red', 'P11':'blue', 'P12':'black', 'P13':'green', 'P14':'purple' }\n",
+    "sns.scatterplot(x=column1, y=column2)\n",
+    "\n",
+    "# Add a regression line and correlation coefficient\n",
+    "sns.regplot(x=column1, y=column2, ci=None, line_kws={'color': 'red'})\n",
+    "plt.title('Correlation between sleep quality and duration')\n",
+    "\n",
+    "# Display the plot\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Aggregated average"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "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>Sleep Efficiency</th>\n",
+       "      <th>Sleep Score Value</th>\n",
+       "      <th>Duration (h)</th>\n",
+       "      <th>Deep Sleep Duration (h)</th>\n",
+       "      <th>Light Sleep Duration (h)</th>\n",
+       "      <th>Rem Sleep Duration (h)</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>User First Name</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>P10</th>\n",
+       "      <td>0.991583</td>\n",
+       "      <td>91.400000</td>\n",
+       "      <td>8.160000</td>\n",
+       "      <td>1.680000</td>\n",
+       "      <td>4.651667</td>\n",
+       "      <td>2.670000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>P11</th>\n",
+       "      <td>0.867166</td>\n",
+       "      <td>65.333333</td>\n",
+       "      <td>6.527778</td>\n",
+       "      <td>1.741667</td>\n",
+       "      <td>3.722222</td>\n",
+       "      <td>1.377778</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>P12</th>\n",
+       "      <td>0.742926</td>\n",
+       "      <td>69.333333</td>\n",
+       "      <td>7.412037</td>\n",
+       "      <td>2.288889</td>\n",
+       "      <td>8.555556</td>\n",
+       "      <td>2.420370</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>P14</th>\n",
+       "      <td>0.986199</td>\n",
+       "      <td>90.307692</td>\n",
+       "      <td>7.836372</td>\n",
+       "      <td>1.402083</td>\n",
+       "      <td>4.957292</td>\n",
+       "      <td>1.842622</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 Sleep Efficiency  Sleep Score Value  Duration (h)  \\\n",
+       "User First Name                                                      \n",
+       "P10                      0.991583          91.400000      8.160000   \n",
+       "P11                      0.867166          65.333333      6.527778   \n",
+       "P12                      0.742926          69.333333      7.412037   \n",
+       "P14                      0.986199          90.307692      7.836372   \n",
+       "\n",
+       "                 Deep Sleep Duration (h)  Light Sleep Duration (h)  \\\n",
+       "User First Name                                                      \n",
+       "P10                             1.680000                  4.651667   \n",
+       "P11                             1.741667                  3.722222   \n",
+       "P12                             2.288889                  8.555556   \n",
+       "P14                             1.402083                  4.957292   \n",
+       "\n",
+       "                 Rem Sleep Duration (h)  \n",
+       "User First Name                          \n",
+       "P10                            2.670000  \n",
+       "P11                            1.377778  \n",
+       "P12                            2.420370  \n",
+       "P14                            1.842622  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_x = df_users.groupby('User First Name')[['Sleep Efficiency', 'Sleep Score Value', 'Duration (h)', 'Deep Sleep Duration (h)', 'Light Sleep Duration (h)', 'Rem Sleep Duration (h)']].mean()\n",
+    "df_x"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Correlation Coefficient: 0.899943078622799\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "column1 = df_x['Duration (h)']\n",
+    "column2 = df_x['Sleep Score Value']\n",
+    "\n",
+    "# Calculate the correlation coefficient\n",
+    "correlation_coefficient = column1.corr(column2)\n",
+    "\n",
+    "print(f'Correlation Coefficient: {correlation_coefficient}')\n",
+    "\n",
+    "# Create a scatter plot\n",
+    "sns.scatterplot(x=column1, y=column2)\n",
+    "\n",
+    "# Add a regression line and correlation coefficient\n",
+    "sns.regplot(x=column1, y=column2, ci=None, line_kws={'color': 'red'})\n",
+    "plt.title('Correlation between sleep quality and duration aggregated average over users')\n",
+    "\n",
+    "# Display the plot\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Breakdown to individual users"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Correlation Coefficient: 0.224347076393802\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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+fn6qdA8PD7z99ts4evSoxvdQUc69onwvGmLkyJFwdXWFp6cnevbsqerKb9asmcFlPX/+HDY2NhrpyrFTZWl2M7vATMDJyQlAfsCgj4SEBFhYWKBmzZpq6e7u7qhYsaLGiePr66uzrJffi46OBpAfGOmSlpaGSpUqaX3v2rVr+Oijj7B//36NE70oX/rKthTstlOqV68e9uzZozGgsUaNGmr5lHVNSUlRbWtdPD09NQZH1q5dG0D++IJWrVohOjoaN27cgKurq9YylIMOCxMcHIy8vDycOHECXl5eePz4MYKDg3Ht2jW1AKh+/fqqLzjlvlEGCi9Tti0mJgZCCMyZMwdz5szRWcdq1aqplgvbZrrY2Nhg8eLFmDZtGtzc3NCqVSu8+eabGD58ONzd3XWup+/2i46OhhBC5yyRl2cK6rPvtFGeT/7+/mrp2o45Qxw7dgzz5s3DiRMnNMagpaWlqf3IF8fw4cPx3nvvISEhAd7e3ti6dStyc3Px7rvvGrWOLx8jQP5xUvAYSUhI0OjiAfTblspzXdv+rlOnTrGmTVtaWmrtRrt79y7mzp2LP/74Q+NYL8r31ZMnT5CVlaXz+0qhUODevXuqLkOgaOdeUb4XDTF37lwEBwdDKpWiSpUqqFevXpFnutnZ2Wkd5/PixQvV+2UFAyATcHJygqenJ65evWrQevoMQAMKP8Befk95defzzz9H48aNta6ja7xOamoq2rdvDycnJ3zyySfw9/eHra0tzp8/jw8//NCggZDFIZVKtaYLIYxSvkKhQIMGDbB06VKt73t5eb2yjGbNmsHW1haHDx9GjRo1ULVqVdSuXRvBwcH4+uuvkZ2djSNHjqiN1VFuv/Xr12sNMJRfUMp806dP13nl7+XguajbbMqUKejVqxd+//137NmzB3PmzEFERAT279+PJk2aaF1H3+2nUCggkUiwa9curfUrbNxYSdF1zhUc5A/kj5no3Lkz6tati6VLl8LLywvW1tb4+++/8eWXXxr1XBgyZAg++OADbNy4Ef/+97+xYcMGNGvW7JVBh6F1LOnzyhD67gclGxsbjTEocrkcXbp0wbNnz/Dhhx+ibt26cHBwwP379xEWFvbafF8VRYMGDRASEmKUsjw8PLROk1emKafVlwUMgEzkzTffxHfffYcTJ06gdevWheb19vaGQqFAdHQ06tWrp0pPSkpCamqqzptc6UP5V7CTk5PBJ8DBgwfx9OlTbNu2De3atVOlF5w5oKRv8KZsy61btzTeu3nzJqpUqWK06awA8ODBA42/nG7fvg0AqkG9/v7+uHTpEjp37vzKduh639raGi1atMCRI0dQo0YNVddCcHAwsrOzsXHjRiQlJaltR+W+qVq1aqH7Rnnp3crKymhfYoXx9/fHtGnTMG3aNERHR6Nx48b473//iw0bNujMr8/28/f3hxACvr6+qis5hdFn32mjPJ9iY2PVggZtx1ylSpWQmpqqkf7yVdc///wT2dnZ+OOPP9T+wtene1SbwraTi4sLevbsiY0bN2LYsGE4duyYXjcZNXYdgfxtqbxSWZC2baltXQB6ra+8SvLyviis2+hlV65cwe3btxEZGYnhw4er0vfu3auRV9/vK1dXV9jb2+v8vrKwsNDrD6RXKe3vxeJQdusrFAq1IPTUqVOwt7fX69wuLRwDZCIzZ86Eg4MDRo8ejaSkJI33Y2Nj8dVXXwEAevToAQAaX3LKv6iLM3slMDAQ/v7++OKLL5CRkaHxfmHTM5V/yRT8yyUnJwdff/21Rl4HBwe9LjF7eHigcePGiIyMVPuyu3r1Kv755x/VtjCWvLw8fPvtt6rlnJwcfPvtt3B1dUVgYCCA/Flm9+/fx/fff6+x/vPnz1XjeoD8dmr7wQTyg51Tp07hwIEDqgBIeblZOWOt4JiL0NBQODk54dNPP0Vubq5Gecp9U7VqVXTo0AHffvut1r+89J1i+ypZWVmqy9hK/v7+cHR0LHRqq77br3///pBKpZg/f77GX8NCCDx9+lQtTZ99p0337t0BAMuXL1dL1xZE+Pv7Iy0tDZcvX1alPXz4UGPmpbZzIS0tDWvXrtVZj8Iof8x0HUvvvvsurl+/jhkzZkAqlWLIkCGvLNPYdQTyv5tOnjyJ06dPq9KePHmiNkZJl4LnesHvhr179+L69etqeb29vSGVSnH48GG1dG3fNbpoa78QQvU9W9Crtn/BMrt27YodO3ao3QoiKSkJP//8M9q2bfvKbnh9lPb3YnEMHDgQSUlJ2LZtmyotOTkZW7duRa9evbSODzIVXgEyEX9/f/z8888YPHgw6tWrp3YnaOVNpJS3Gm/UqBFGjBiB7777TtXtdPr0aURGRqJv377o2LFjkethYWGBH374Ad27d0dAQADCw8NRrVo13L9/HwcOHICTkxP+/PNPresGBQWhUqVKGDFiBCZNmgSJRIL169drvZQbGBiIX375BVOnTkXz5s1RoUIF9OrVS2u5n3/+Obp3747WrVtj1KhRqumezs7ORr8zrqenJxYvXoz4+HjUrl0bv/zyCy5evIjvvvtONebk3XffxZYtW/Cvf/0LBw4cQJs2bSCXy3Hz5k1s2bJFdc8lZTv37duHpUuXwtPTE76+vqoxEsHBwVi0aBHu3bunFui0a9cO3377LXx8fNTGLTg5OWH16tV499130bRpUwwZMgSurq64e/cudu7ciTZt2mDlypUAgFWrVqFt27Zo0KABxowZAz8/PyQlJeHEiRNITEzEpUuXir2tbt++jc6dO2PQoEGoX78+LC0tsX37diQlJRX6A6zv9vP398fChQsxe/ZsxMfHo2/fvnB0dERcXBy2b9+OsWPHYvr06QbtO20aN26MoUOH4uuvv0ZaWhqCgoIQFRWFmJgYjbxDhgzBhx9+iH79+mHSpEmq2xDUrl1bbYxK165dYW1tjV69emHcuHHIyMjA999/j6pVqxZ611xdlAHcpEmTEBoaqhHk9OzZE5UrV8bWrVvRvXt3VK1a9ZVlGruOQP4fcuvXr0e3bt0wefJk1TR4b29vtaBRl4iICPTs2RNt27bFyJEj8ezZM6xYsQIBAQFqf5A5OzvjrbfewooVKyCRSODv74+//vpLr/F3SnXr1oW/vz+mT5+O+/fvw8nJCb/99pvWsTev2v4FLVy4EHv37kXbtm0xYcIEWFpa4ttvv0V2djaWLFmid/1epTS/F7X5888/Vd8jubm5uHz5MhYuXAgA6N27Nxo2bAggPwBq1aoVwsPDcf36ddWdoOVyOebPn1/i9TRI6U88o4Ju374txowZI3x8fIS1tbVwdHQUbdq0EStWrFCb0pybmyvmz58vfH19hZWVlfDy8hKzZ89WyyNE/vTVnj17anzOq6ZGXrhwQfTv319UrlxZ2NjYCG9vbzFo0CARFRWlyqNtGvyxY8dEq1athJ2dnfD09BQzZ84Ue/bs0ZiympGRId5++21RsWJFtSmu2qaxCiHEvn37RJs2bYSdnZ1wcnISvXr1EtevX1fLo5yK/OTJE7V0bfXUpn379iIgIECcPXtWtG7dWtja2gpvb2+xcuVKjbw5OTli8eLFIiAgQNjY2IhKlSqJwMBAMX/+fJGWlqbKd/PmTdGuXTthZ2cnAKhNFZXJZEIqlQpHR0eRl5enSt+wYYMAIN59912t9Txw4IAIDQ0Vzs7OwtbWVvj7+4uwsDBx9uxZtXyxsbFi+PDhwt3dXVhZWYlq1aqJN998U/z6668a2+bl6a26phkXlJycLCZOnCjq1q0rHBwchLOzs2jZsqXYsmWLxnYtOM3bkO0nhBC//fabaNu2rXBwcBAODg6ibt26YuLEieLWrVtqn6HvvtPm+fPnYtKkSaJy5crCwcFB9OrVS9y7d09jirMQ+dOy33jjDWFtbS3q1KkjNmzYoHUa/B9//CEaNmwobG1thY+Pj1i8eLFYs2aNxrGozzT4vLw88f777wtXV1chkUi0TsmeMGGCACB+/vlnvdpsSB11fY9o27eXL18W7du3F7a2tqJatWpiwYIF4scff9TrHBQif3/Xq1dP2NjYiPr164tt27Zpvf3AkydPxIABA4S9vb2oVKmSGDdunLh69arWafAODg5aP+v69esiJCREVKhQQVSpUkWMGTNGXLp0yaDtr+0YOX/+vAgNDRUVKlQQ9vb2omPHjuL48eNqeYpz7inp871YlGnw+uRV3l5A2+vl7+9nz56JUaNGicqVKwt7e3vRvn17nVPqTUkihAlHXhERFUGHDh2QnJxs8ESCV5FIJJg3b165eAbXBx98gB9//BGPHj1S3eiPiPTHMUBEROXMixcvsGHDBgwYMIDBD1ERcQwQEVE58fjxY+zbtw+//vornj59qva8QCIyDAMgIqJy4vr16xg2bBiqVq2K5cuX67x3FxG9GscAERERkdnhGCAiIiIyOwyAiIiIyOxwDJAWCoUCDx48gKOjo963RCciIiLTEkIgPT0dnp6eGs+DexkDIC0ePHhglOe3EBERUem7d++e2p31tWEApIWjoyOA/A1ojOe4EBERUcmTyWTw8vJS/Y4XhgGQFspuLycnJwZARERE5Yw+w1c4CJqIiIjMDgMgIiIiMjsMgIiIiMjsMAAiIiIis8MAiIiIiMwOAyAiIiIyOwyAiIiIyOwwACIiIiKzwwCIiIiIzA7vBE1EOikUAtceyPAsKwcu9tYI8HSChQUfEExE5R8DICLS6nhMMpbvj8adJ5nIkStgLbWAn6sDJnWqhaCaVUxdPSKiYmEXGBFpOB6TjJm/Xca5hBQ8Ts9GalYuHqdn41xCCmb+dhnHY5JNXUUiomJhAEREahQKgeX7o5Eke4FcuVB7L1cukCR7geX7o6FQCB0lEBGVfQyAiEjNtQcy3HmSqRH8KOXKBe48ycS1B7JSrhkRkfEwACIiNc+ycpAjVxSaJ1euwLOsnFKqERGR8TEAIiI1LvbWsJYW/tVgJbWAi711KdWIiMj4GAARkZoATyf4uTrASqp9uruVVAI/VwcEeDqVcs2IiIyHARARqbGwkGBSp1pwc7LVCIKspBK4OdliUqdavB8QEZVrDICISENQzSpYMqAhAr0roaqjDSrZW6Gqow0CvSthyYCGvA8QEZV7vBEiEWkVVLMKWvlV5p2giei1ZNIrQOnp6ZgyZQq8vb1hZ2eHoKAgnDlzRvW+RCLR+vr88891lvnxxx9r5K9bt25pNIfotWNhIUGD6s5oX9sVDao7M/ghoteGSa8AjR49GlevXsX69evh6emJDRs2ICQkBNevX0e1atXw8OFDtfy7du3CqFGjMGDAgELLDQgIwL59+1TLlpa80EVERET/Y7LI4Pnz5/jtt9+wY8cOtGvXDkD+1Zs///wTq1evxsKFC+Hu7q62zo4dO9CxY0f4+fkVWralpaXGukRERERKJusCy8vLg1wuh62trVq6nZ0djh49qpE/KSkJO3fuxKhRo15ZdnR0NDw9PeHn54dhw4bh7t27hebPzs6GTCZTexEREdHry2QBkKOjI1q3bo0FCxbgwYMHkMvl2LBhA06cOKHR9QUAkZGRcHR0RP/+/Qstt2XLlli3bh12796N1atXIy4uDsHBwUhPT9e5TkREBJydnVUvLy+vYrePiIiIyi6JEMJkTzSMjY3FyJEjcfjwYUilUjRt2hS1a9fGuXPncOPGDbW8devWRZcuXbBixQqDPiM1NRXe3t5YunSpzqtH2dnZyM7OVi3LZDJ4eXkhLS0NTk682RsREVF5IJPJ4OzsrNfvt0lHB/v7++PQoUPIzMyETCaDh4cHBg8erDHG58iRI7h16xZ++eUXgz+jYsWKqF27NmJiYnTmsbGxgY2NjcFlExERUflUJm6E6ODgAA8PD6SkpGDPnj3o06eP2vs//vgjAgMD0ahRI4PLzsjIQGxsLDw8PIxVXSIiIirnTBoA7dmzB7t370ZcXBz27t2Ljh07om7duggPD1flkclk2Lp1K0aPHq21jM6dO2PlypWq5enTp+PQoUOIj4/H8ePH0a9fP0ilUgwdOrTE20NERETlg0m7wNLS0jB79mwkJibCxcUFAwYMwKJFi2BlZaXKs3nzZgghdAYwsbGxSE5OVi0nJiZi6NChePr0KVxdXdG2bVucPHkSrq6uJd4eIiIiKh9MOgi6rDJkEBURERGVDYb8fpeJMUBEREREpYkBEBEREZkdBkBERERkdhgAERERkdlhAERERERmhwEQERERmR0GQERERGR2GAARERGR2WEARERERGaHARARERGZHQZAREREZHYYABEREZHZYQBEREREZocBEBEREZkdBkBERERkdhgAERERkdlhAERERERmhwEQERERmR0GQERERGR2GAARERGR2WEARERERGaHARARERGZHQZAREREZHYYABEREZHZYQBEREREZocBEBEREZkdBkBERERkdhgAERERkdlhAERERERmhwEQERERmR0GQERERGR2GAARERGR2WEARERERGaHARARERGZHQZAREREZHYYABEREZHZYQBEREREZocBEBEREZkdkwZA6enpmDJlCry9vWFnZ4egoCCcOXNG9X5YWBgkEonaq1u3bq8sd9WqVfDx8YGtrS1atmyJ06dPl2QziIiIqJwxaQA0evRo7N27F+vXr8eVK1fQtWtXhISE4P79+6o83bp1w8OHD1WvTZs2FVrmL7/8gqlTp2LevHk4f/48GjVqhNDQUDx+/Likm0NERETlhEQIIUzxwc+fP4ejoyN27NiBnj17qtIDAwPRvXt3LFy4EGFhYUhNTcXvv/+ud7ktW7ZE8+bNsXLlSgCAQqGAl5cX3n//fcyaNUuvMmQyGZydnZGWlgYnJyeD2kVERESmYcjvt8muAOXl5UEul8PW1lYt3c7ODkePHlUtHzx4EFWrVkWdOnUwfvx4PH36VGeZOTk5OHfuHEJCQlRpFhYWCAkJwYkTJ3Sul52dDZlMpvYiIiKi15fJAiBHR0e0bt0aCxYswIMHDyCXy7FhwwacOHECDx8+BJDf/fXTTz8hKioKixcvxqFDh9C9e3fI5XKtZSYnJ0Mul8PNzU0t3c3NDY8ePdJZl4iICDg7O6teXl5exmsoERERlTkmHQO0fv16CCFQrVo12NjYYPny5Rg6dCgsLPKrNWTIEPTu3RsNGjRA37598ddff+HMmTM4ePCgUesxe/ZspKWlqV737t0zavlERERUtpg0APL398ehQ4eQkZGBe/fu4fTp08jNzYWfn5/W/H5+fqhSpQpiYmK0vl+lShVIpVIkJSWppSclJcHd3V1nPWxsbODk5KT2IiIiotdXmbgPkIODAzw8PJCSkoI9e/agT58+WvMlJibi6dOn8PDw0Pq+tbU1AgMDERUVpUpTKBSIiopC69atS6TuREREVP6YNADas2cPdu/ejbi4OOzduxcdO3ZE3bp1ER4ejoyMDMyYMQMnT55EfHw8oqKi0KdPH9SsWROhoaGqMjp37qya8QUAU6dOxffff4/IyEjcuHED48ePR2ZmJsLDw03RRCIiIiqDLE354WlpaZg9ezYSExPh4uKCAQMGYNGiRbCyskJeXh4uX76MyMhIpKamwtPTE127dsWCBQtgY2OjKiM2NhbJycmq5cGDB+PJkyeYO3cuHj16hMaNG2P37t0aA6OJiIjIfJnsPkBlGe8DREREVP6Ui/sAEREREZkKAyAiIiIyOwyAiIiIyOwwACIiIiKzwwCIiIiIzA4DICIiIjI7DICIiIjI7DAAIiIiIrNj0jtBE5kzhULg2gMZnmXlwMXeGgGeTrCwkJi6WkRqeJzS64oBEJEJHI9JxvL90bjzJBM5cgWspRbwc3XApE61EFSziqmrRwSAxym93vgoDC34KAwqScdjkjHzt8tIkr1Arvx/p5+VVAI3J1ssGdCQPy5kcjxOqTziozCIyiiFQmD5/miNHxUAyJULJMleYPn+aCgU/LuETIfHKZkDBkBEpejaAxnuPMnU+FFRypUL3HmSiWsPZKVcM6L/4XFK5oABEFEpepaVgxy5otA8uXIFnmXllFKNiDTxOCVzwACIqBS52FvDWlr4aWcltYCLvXUp1YhIE49TMgcMgIhKUYCnE/xcHWAl1T6N2EoqgZ+rAwI8OfieTIfHKZkDBkBEpcjCQoJJnWrBzclW48dFObtmUqdavM8KmRSPUzIHnAavBafBU0kreH+VXLkCVry/CpVBPE6pvDHk95sBkBYMgKg08A67VB7wOKXyxJDfb94JmshELCwkaFDd2dTVICoUj1N6XXEMEBEREZkdBkBERERkdhgAERERkdlhAERERERmhwEQERERmR0GQERERGR2GAARERGR2WEARERERGaHN0IkIiKiUlGW7izOAIiIiIhKXMFny+XIFbA28bPl2AVGREREJep4TDJm/nYZ5xJS8Dg9G6lZuXicno1zCSmY+dtlHI9JLvU6MQAiIiKiEqNQCCzfH40k2QvkytWfv54rF0iSvcDy/dFQKEr32ewMgIiIiKjEXHsgw50nmRrBj1KuXODOk0xceyAr1XpxDBARERGVmGdZOciRKwAATi8y4JWWhOqpSXDKzsDWhl0BALlyBZ5l5ZRqvRgAERERkXFkZwMJCUBcHHDnDhAXh8bXb2PThevwePYQFV9kqLJmWdlga4MugEQCK6kFXOytS7WqDICIiIhIPwoF8PBhfoBTIMhR/Xv/PiDUu7qc///1MvvcbFTJSkWakwv8XB0Q4OlUKk1QYgBERERE/5OWpj24uXMHiI/Pv8pTDM8tbXDP2Q13K7rBQeTB1skWkzrVKvX7ATEAIiIiMic5OfndVNoCnLg4ICWleOVbWABeXoCvL+Dnl/+vry8uW7tgVYICF15YI1chYGXi+wCZNABKT0/HnDlzsH37djx+/BhNmjTBV199hebNmyM3NxcfffQR/v77b9y5cwfOzs4ICQnBZ599Bk9PT51lfvzxx5g/f75aWp06dXDz5s2Sbg4REZHpKRTAo0f/C2gKBjdxcUBiokY3lcEqV1YLbuDn97/lGjUAKyuNVRoCWM07QecbPXo0rl69ivXr18PT0xMbNmxASEgIrl+/jgoVKuD8+fOYM2cOGjVqhJSUFEyePBm9e/fG2bNnCy03ICAA+/btUy1bWvJCFxERvUbS0rQHOEbqpoKtrfoVnIL/+vgATkUbr2NhIUGD6tpGBJU+iRDFDQOL5vnz53B0dMSOHTvQs2dPVXpgYCC6d++OhQsXaqxz5swZtGjRAgkJCahRo4bWcj/++GP8/vvvuHjxYpHrJpPJ4OzsjLS0NDgVcScTEREVmbKbStdYHGN0U1Wvrn4Vp+CVHDc3QGKaKzPFYcjvd5EujaSmpuLXX39FbGwsZsyYARcXF5w/fx5ubm6oVq2aXmXk5eVBLpfD1tZWLd3Ozg5Hjx7Vuk5aWhokEgkqVqxYaNnR0dHw9PSEra0tWrdujYiICJ0BExERUalTdlPpmk1VUt1Uyn+9vADr0p12XtYYfAXo8uXLCAkJgbOzM+Lj43Hr1i34+fnho48+wt27d/HTTz/pXVZQUBCsra3x888/w83NDZs2bcKIESNQs2ZN3Lp1Sy3vixcv0KZNG9StWxcbN27UWeauXbuQkZGBOnXq4OHDh5g/fz7u37+Pq1evwtHRUes62dnZyC5wuVAmk8HLy4tXgIiIqOhkssJnU714Ubzyld1ULw02Vi2b4e+XIVeADA6AQkJC0LRpUyxZsgSOjo64dOkS/Pz8cPz4cbz99tuIj4/Xu6zY2FiMHDkShw8fhlQqRdOmTVG7dm2cO3cON27cUOXLzc3FgAEDkJiYiIMHDxoUlKSmpsLb2xtLly7FqFGjtObRNnAaAAMgIiLSLScHuHtXd5Dz7Fnxyld2U70c4Cj/7+5eLrupSlKJdoGdOXMG3377rUZ6tWrV8OjRI4PK8vf3x6FDh5CZmQmZTAYPDw8MHjwYfn5+qjy5ubkYNGgQEhISsH//foMDkooVK6J27dqIiYnRmWf27NmYOnWqall5BYiIiMyYEP/rpno5wFF2UykUxfuMypW1DzZWzqYy826qkmRwAGRjYwOZTPOBZbdv34arq2uRKuHg4AAHBwekpKRgz549WLJkCYD/BT/R0dE4cOAAKleubHDZGRkZiI2Nxbvvvqszj42NDWxsbIpUdyIiKsdkMt3TxePiSqabqmCQw14GkzE4AOrduzc++eQTbNmyBQAgkUhw9+5dfPjhhxgwYIBBZe3ZswdCCNSpUwcxMTGYMWMG6tati/DwcOTm5mLgwIE4f/48/vrrL8jlctUVJhcXF1j/f1TcuXNn9OvXD++99x4AYPr06ejVqxe8vb3x4MEDzJs3D1KpFEOHDjW0qUREVN4V7KZSBjjG7KaSSF49m8rCwjhtIaMyOAD673//i4EDB6Jq1ap4/vw52rdvj0ePHqF169ZYtGiRQWWlpaVh9uzZSExMhIuLCwYMGIBFixbBysoK8fHx+OOPPwAAjRs3VlvvwIED6NChA4D8cUTJycmq9xITEzF06FA8ffoUrq6uaNu2LU6ePFnkq1NERFSGlUY3lYuL7tlU7KYqt4p8H6CjR4/i8uXLyMjIQNOmTRESEmLsupkM7wNERFSGKGdTvRzcKGdTPX9evPJtbLQHN8qb/jmXjRv30auV6Cwwc8AAiIioFOXmap9Npfz/06fFK18iAapV0z4Gx88vfzYVu6leCyU6C+yTTz4p9P25c+caWiQREb3OhACSkrRfwYmLA+7dM043VWGzqTjRhV5icAC0fft2teXc3FzExcXB0tIS/v7+DICIiMxRerruACcuruS6qZRp7KYiAxkcAF24cEEjTSaTISwsDP369TNKpYiIqIxRdlPpegCnsbupXg502E1FRma0MUBXrlxBr169DLoTdFnFMUBEZHYKdlNpu5JjjG6qSpW0Txf39QW8vdlNRcVW4g9D1SYtLQ1paWnGKo6IiIxN2U2l6wGcxe2msrYuvJvqFQ+yJipNBgdAy5cvV1sWQuDhw4dYv349unfvbrSKERGRgbTNpir4/wL3TCsSiQTw9NQ9m8rDg91UVG4YHAB9+eWXassWFhZwdXXFiBEjMHv2bKNVjIiIXiIE8Pix7odvGqObqmJF3QEOu6noNWJwABQXF1cS9SAiIgDIyNA9DicuDsjKKl75BbupXg5yfH3zx+kQmQGjjQEiIiI95ObmX6nRNV38yZPila/spip4N2N2UxFp0CsA6t+/v94Fbtu2rciVISIq94TID2K0dVGVRDfVyw/fZDcVkV70CoCceYMpIqL/KdhNpW08jjG6qXx8tI/FYTcVkVHoFQCtXbu2pOtBRFR25OWpd1O93F1V3G4qIP+mf7qmjHt6spuKqIRxDBARmR9lN1Vhs6nk8uJ9hrNz4bOpbG2N0xYiKpIiBUC//vortmzZgrt37yInJ0ftvfPnzxulYkRExZKZqT3AUb4yM4tXvrKbStdVHHZTEZVpRboR4n/+8x+EhYVhx44dCA8PR2xsLM6cOYOJEyeWRB2JiDQpu6l0BTmPHxf/M7TNpmI3FdFrweAA6Ouvv8Z3332HoUOHYt26dZg5cyb8/Pwwd+5cPHv2rCTqSETmqGA3lbZxOHfvFr+byslJe3Dj65t/dYfdVESvLYMDoLt37yIoKAgAYGdnh/T0dADAu+++i1atWmHlypXGrSERvb6U3VS6ZlMZo5vK21v3E8bZTUVktgwOgNzd3fHs2TN4e3ujRo0aOHnyJBo1aoS4uDgY6cHyRFRCFAqBaw9keJaVAxd7a9Rzd8SNR+mq5QBPJ1hYSIz3gXl5QGKi9pv+3blj/G6ql6/iVKvGbqoy7uVj0ujHIJlUWd6/BgdAnTp1wh9//IEmTZogPDwcH3zwAX799VecPXvWoBsmElHpOh6TjOX7o3HnSSZy5ApAAAohYCGRABLAWmoBP1cHTOpUC0E1q+hXqCm6qQpeyWE3Vbn28jFZpGOQyqyyvn8lQs/LNn/99Rd69OgBAFAoFLC0zI+dNm/ejOPHj6NWrVoYN24crK2tS662pUQmk8HZ2RlpaWlwcnIydXWIiu14TDJm/nYZSbIXyJWrn/JSCwnkivw0K6kEbk62WDKg4f++oLKydE8XN0Y3lZXV/2ZTvXwVh91Ury1dx6TWY5DKHVPtX0N+v/UOgCwtLeHm5oawsDCMHDkS/v7+RqlsWcQAiF4nCoXA2z+cxLmEFI3gBwCkCjm8Mp/C49kjeKU+go8sCQ3zUtDGQgZJXByQlFT8Sii7qXTd9E8qLf5nULnxqmPSSipBoHcl/Dy6VZnpLiH9mXL/GvL7rXcXWFxcHNauXYvIyEh89tlnaNu2LUaPHo2BAwfCzs6u2JUmopJx7X4ansXfR/3Eu/BKS0KN1Eeo/v//eqUlwVP2BFaKYnZTOTpq76by988fhMzvCCrg2gMZ7jzJ1PrjCAC5coE7TzJx7YEMDarzUUzlTXnZv3oHQF5eXpg7dy7mzp2LAwcOYN26dRg/fjzef/99DBkyBKNGjULz5s1Lsq5EpEtWFhAfr7Wbql7sHfyTZYRuqlfNppLwL3XSz7OsnPxxaIXIlSvwLCun0DxUNpWX/VukO0F37NgRHTt2xMqVK7F582asW7cOrVq1whtvvIFLly4Zu45EJJcXPpuqkG4qfU/ypAouuOvsjnsV3fDM1ROhvYLgFRjwv9lU7KYiI3Gxt4a1tPDZeVZSC7jYl/8xpeaovOzfYj0LzNHREZ07d0ZCQgJu3ryJ69evG6teROZFCODpU90Bzt27+VPKiyHdxh73nN1wt6K72r/3nN2R5OKGDIv8LyNl//zI0a0Ajr+gEhDg6QQ/VwekZOXoHCPi5+qAAE+OwSyPysv+LVIA9Pz5c2zduhVr1qzBkSNH4Ovri6lTpyIsLMzI1SN6jShnU2mbLh4XB2RkFK98S0uds6lOCydMjbqHpPRsvWaBTepUi4NPqcRYWEgwqVOtQmcJ8Rgsv8rL/tV7FhgAnDx5EmvWrMGWLVuQk5OD/v37Y9SoUejYsWNJ1rHUcRYYFYmym0rXlHFjzKby8NA9m+oV3VQF78mRK1dAFLgPkESSf0m6LN2jg15/Lx+TPAZfL6bYvyUyDb5+/fq4desWmjRpglGjRuHtt9+Gs/PrOTqfARBppeym0nUFJyGh2N1UcHTUfVdjX99iz6Yq9TtBE71CWb5TMBVfae/fEpkGHxISgk2bNqFRo0bFriBRmfX8eeHPpvr/Z98VmaVl/mwqXUFO5colOpvKwkKiMe2U04zJlLQdk/T6KMv7V+8AaPny5SVZD6LSIZcD9+/rHmz86FHxP8PdXXc3VfXqnE1FRFQGFGsWGFGZIwTw7Jn2qzfKbqrc3OJ9xsvdVAX/7+MD2NsbpSlERFRyGABR+fP8ufpN/14Odkqim0r5fz8/wMWFN/0jIirnGABR2cNuKiIiKmHFCoBevHgBW1tbY9WFzIW2bqqXZ1MVt5uqQgXNKzcFZ1Oxm4qIyKwZHAApFAosWrQI33zzDZKSknD79m34+flhzpw58PHxwahRo0qinlTeKLupdI3FkcmKV76lJVCjhmZgowx2Sng2FRERlW8GB0ALFy5EZGQklixZgjFjxqjS33jjDSxbtowBkLlQdlPpuorz8GHxP8PNTffDN6tVyw+CiIiIisDgX5CffvoJ3333HTp37ox//etfqvRGjRrh5s2bRq0cmZAQQEqK7rsas5uKiIjKMYMDoPv376NmzZoa6QqFArnF/UF8zZW5O54W7KbSdiXH2N1UL1/NYTcVERGZiMEBUP369XHkyBF4e3urpf/6669o0qSJQWWlp6djzpw52L59Ox4/fowmTZrgq6++QvPmzQEAQgjMmzcP33//PVJTU9GmTRusXr0atWrVKrTcVatW4fPPP8ejR4/QqFEjrFixAi1atDCsoUZW8JkoOXIFrEvjmTcFu6m0BTjG6qbSNgaH3VRERFSGGfzrNHfuXIwYMQL379+HQqHAtm3bcOvWLfz000/466+/DCpr9OjRuHr1KtavXw9PT09s2LABISEhuH79OqpVq4YlS5Zg+fLliIyMhK+vL+bMmYPQ0FBcv35d5+yzX375BVOnTsU333yDli1bYtmyZQgNDcWtW7dQtWpVQ5trFMdjkrU+FTclKwczf7uMJQMaFi0IUnZT6ZouboxuKgcHzSs4BW/65+BQvPKJiIhMwKCnwSsdOXIEn3zyCS5duoSMjAw0bdoUc+fORdeuXfUu4/nz53B0dMSOHTvQs2dPVXpgYCC6d++OBQsWwNPTE9OmTcP06dMBAGlpaXBzc8O6deswZMgQreW2bNkSzZs3x8qVKwHkd815eXnh/fffx6xZs/SqmzEfhqpQCLz9w0mcS0hRC36UrKQSBHpXws+jW2nvDnvxQv2mf8buppJKC59NVaUKu6mIiKhcKJGHoQJAXl4ePv30U4wcORJ79+4tViXz8vIgl8s1ruTY2dnh6NGjiIuLw6NHjxASEqJ6z9nZGS1btsSJEye0BkA5OTk4d+4cZs+erUqzsLBASEgITpw4obMu2dnZyM7OVi3LihtUFHDtgQx3nmRqDX4AQJ6bh4zoOMRtS4F/xmPNKzkPHhS/ElWrar+jsfKmf+ymIiIiM2PQL5+lpSWWLFmC4cOHF/uDHR0d0bp1ayxYsAD16tWDm5sbNm3ahBMnTqBmzZp49P93+3Vzc1Nbz83NTfXey5KTkyGXy7WuU9gMtYiICMyfP7+YLdLuWVYOcuQK2OW8QMc7Z+GV9gheqUmokfoI1dOSUD3tMawVecX7EAcH3bOpfHzyZ1sRERGRisF/+nfu3BmHDh2Cj49PsT98/fr1GDlyJKpVqwapVIqmTZti6NChOHfuXLHLNsTs2bMxdepU1bJMJoOXl5dRynaxt4a11ALS3Bf4esdnRStEKgW8vHTPpnJ1ZTcVERGRAQwOgLp3745Zs2bhypUrCAwMhMNLg2B79+6td1n+/v44dOgQMjMzIZPJ4OHhgcGDB8PPzw/u7u4AgKSkJHh4eKjWSUpKQuPGjbWWV6VKFUilUiQlJamlJyUlqcrTxsbGBjY2NnrX2xABnk7wc3XAucyKyLSyhUPuC635hKsrJLoGG3t5sZuKiIjIiAz+VZ0wYQIAYOnSpRrvSSQSyOVygyvh4OAABwcHpKSkYM+ePViyZAl8fX3h7u6OqKgoVcAjk8lw6tQpjB8/Xms51tbWCAwMRFRUFPr27QsgfxB0VFQU3nvvPYPrZQwWFhJM6lQLM3+7jGO+TSBRyJHo7Ia7Fd3xoJI7nlevgQlhIWjVyMck9SMiIjJHRXoWmLHs2bMHQgjUqVMHMTExmDFjBurWrYvw8HBIJBJMmTIFCxcuRK1atVTT4D09PVXBDZDfJdevXz9VgDN16lSMGDECzZo1Q4sWLbBs2TJkZmYiPDzcaPU2VFDNKlgyoCGWV/rv/w+IVsCqwH2AWpXUfYCIiIhIK5P2q6SlpWH27NlITEyEi4sLBgwYgEWLFsHKygoAMHPmTGRmZmLs2LFITU1F27ZtsXv3brWZY7GxsUhOTlYtDx48GE+ePMHcuXPx6NEjNG7cGLt379YYGF3agmpWQSu/ymXrTtBERERmqkj3ATp06BC++OIL3LhxA0D+3aFnzJiB4OBgo1fQFIx5HyAiIiIqHYb8flsYWrjybs329vaYNGkSJk2aBDs7O3Tu3Bk///xzkStNREREVFoMvgJUr149jB07Fh988IFa+tKlS/H999+rrgqVZ7wCREREVP6U6BWgO3fuoFevXhrpvXv3RlxcnKHFEREREZU6gwMgLy8vREVFaaTv27fPaDcPJCIiIipJBs8CmzZtGiZNmoSLFy8iKCgIAHDs2DGsW7cOX331ldErSERERGRsBgdA48ePh7u7O/773/9iy5YtAPLHBf3yyy/o06eP0StIREREZGxFmgb/uuMgaCIiovKnRAdBnzlzBqdOndJIP3XqFM6ePWtocURERESlzuAAaOLEibh3755G+v379zFx4kSjVIqIiIioJBkcAF2/fh1NmzbVSG/SpAmuX79ulEoRERERlSSDAyAbGxskJSVppD98+BCWliZ9tBgRERGRXgwOgLp27YrZs2cjLS1NlZaamop///vf6NKli1ErR0RERFQSDL5k88UXX6Bdu3bw9vZGkyZNAAAXL16Em5sb1q9fb/QKEhERERmbwQFQtWrVcPnyZWzcuBGXLl2CnZ0dwsPDMXToUFhZWZVEHYmIiIiMqkiDdhwcHDB27Fhj14WIiIioVOg9Buj27ds4ffq0WlpUVBQ6duyIFi1a4NNPPzV65YiIiIhKgt4B0Icffoi//vpLtRwXF4devXrB2toarVu3RkREBJYtW1YSdSQiIiIyKr27wM6ePYuZM2eqljdu3IjatWtjz549AICGDRtixYoVmDJlitErSURERGRMel8BSk5ORvXq1VXLBw4cQK9evVTLHTp0QHx8vFErR0RERFQS9A6AXFxc8PDhQwCAQqHA2bNn0apVK9X7OTk54HNViYiIqDzQOwDq0KEDFixYgHv37mHZsmVQKBTo0KGD6v3r16/Dx8enBKpIREREZFx6jwFatGgRunTpAm9vb0ilUixfvhwODg6q99evX49OnTqVSCWJiIiIjEkiDOi3ysvLw7Vr1+Dq6gpPT0+19y5duoTq1aujcuXKRq9kaZPJZHB2dkZaWhqcnJxMXR0iIiLSgyG/3wbdCNHS0hKNGjXS+p6udCIiIqKyxuCHoRIRERGVdwyAiIiIyOwwACIiIiKzwwCIiIiIzE6RngafkpKCH3/8ETdu3AAA1KtXDyNHjoSLi4tRK0dERERUEgy+AnT48GH4+vpi+fLlSElJQUpKClasWAFfX18cPny4JOpIREREZFQG3QcIABo0aIDWrVtj9erVkEqlAAC5XI4JEybg+PHjuHLlSolUtDTxPkBERETljyG/3wZfAYqJicG0adNUwQ8ASKVSTJ06FTExMYbXloiIiKiUGRwANW3aVDX2p6AbN27wZohERERULhg8CHrSpEmYPHkyYmJiVE+DP3nyJFatWoXPPvsMly9fVuVt2LCh8WpKREREZCQGjwGysCj8opFEIoEQAhKJBHK5vFiVMxWOASIiIip/SuxZYAAQFxdX5IoRERERlQUGB0De3t4lUQ8iIiKiUlOkO0GvX78ebdq0gaenJxISEgAAy5Ytw44dO4xaOSIiIqKSYHAAtHr1akydOhU9evRAamqqapxPxYoVsWzZMoPKksvlmDNnDnx9fWFnZwd/f38sWLAABYclSSQSra/PP/9cZ7kff/yxRv66desa2lQiIiJ6TRncBbZixQp8//336Nu3Lz777DNVerNmzTB9+nSDylq8eDFWr16NyMhIBAQE4OzZswgPD4ezszMmTZoEAHj48KHaOrt27cKoUaMwYMCAQssOCAjAvn37VMuWlkV66gcRERG9hoo0CLpJkyYa6TY2NsjMzDSorOPHj6NPnz7o2bMnAMDHxwebNm3C6dOnVXnc3d3V1tmxYwc6duwIPz+/Qsu2tLTUWJeIiIgIKEIXmK+vLy5evKiRvnv3btSrV8+gsoKCghAVFYXbt28DAC5duoSjR4+ie/fuWvMnJSVh586dGDVq1CvLjo6OhqenJ/z8/DBs2DDcvXtXZ97s7GzIZDK1FxEREb2+DL4CNHXqVEycOBEvXryAEAKnT5/Gpk2bEBERgR9++MGgsmbNmgWZTIa6detCKpVCLpdj0aJFGDZsmNb8kZGRcHR0RP/+/Qstt2XLlli3bh3q1KmDhw8fYv78+QgODsbVq1fh6OiokT8iIgLz5883qO5ERERUjoki2LBhg6hZs6aQSCRCIpGIatWqiR9++MHgcjZt2iSqV68uNm3aJC5fvix++ukn4eLiItatW6c1f506dcR7771n8OekpKQIJycnnXV88eKFSEtLU73u3bsnAIi0tDSDP4uIiIhMIy0tTe/fb4PvBF1QVlYWMjIyULVq1SKt7+XlhVmzZmHixImqtIULF2LDhg24efOmWt4jR46gXbt2uHjxYpGeOda8eXOEhIQgIiLilXl5J2giIqLyp0SfBg8AeXl52LdvH9avXw87OzsAwIMHD5CRkWFQOVlZWRqP1pBKpVAoFBp5f/zxRwQGBhYp+MnIyEBsbCw8PDwMXpeIiIhePwYHQAkJCWjQoAH69OmDiRMn4smTJwDyp7QbOg2+V69eWLRoEXbu3In4+Hhs374dS5cuRb9+/dTyyWQybN26FaNHj9ZaTufOnbFy5UrV8vTp03Ho0CHEx8fj+PHj6NevH6RSKYYOHWpga4mIiOh1ZPAg6MmTJ6NZs2a4dOkSKleurErv168fxowZY1BZK1aswJw5czBhwgQ8fvwYnp6eGDduHObOnauWb/PmzRBC6AxgYmNjkZycrFpOTEzE0KFD8fTpU7i6uqJt27Y4efIkXF1dDaofERERvZ4MHgNUuXJlHD9+HHXq1IGjoyMuXboEPz8/xMfHo379+sjKyiqpupYajgEiIiIqf0p0DJBCoVA9/qKgxMRErVPMiYiIiMoagwOgrl27qj3zSyKRICMjA/PmzUOPHj2MWTciIiKiEmFwF1hiYiJCQ0MhhEB0dDSaNWuG6OhoVKlSBYcPHy7ylPiyhF1gRERE5Y8hv99Fug9QXl4eNm/ejMuXLyMjIwNNmzbFsGHDVFPiyzsGQEREROWPIb/fRXpEuqWlJd55550iVY6IiIjI1PQKgP744w+9C+zdu3eRK0NERERUGvQKgPr27atXYRKJROsMMSIiIqKyRK8ASNujKYiIiIjKqyI9C4yIiIioPNM7ADpx4gT++usvtbSffvoJvr6+qFq1KsaOHYvs7GyjV5CIiIjI2PQOgD755BNcu3ZNtXzlyhWMGjUKISEhmDVrFv78809ERESUSCWJiIiIjEnvAOjixYvo3Lmzannz5s1o2bIlvv/+e0ydOhXLly/Hli1bSqSSRERERMakdwCUkpICNzc31fKhQ4fQvXt31XLz5s1x794949aOiIiIqAToHQC5ubkhLi4OAJCTk4Pz58+jVatWqvfT09NhZWVl/BoSERERGZneAVCPHj0wa9YsHDlyBLNnz4a9vT2Cg4NV71++fBn+/v4lUkkiIiIiY9L7URgLFixA//790b59e1SoUAGRkZGwtrZWvb9mzRp07dq1RCpJREREZEwGPww1LS0NFSpUgFQqVUt/9uwZKlSooBYUlVd8GCoREVH5U6IPQ3V2dtaa7uLiYmhRRERERCbBO0ETERGR2WEARERERGaHARARERGZHQZAREREZHYYABEREZHZYQBEREREZocBEBEREZkdBkBERERkdhgAERERkdlhAERERERmhwEQERERmR0GQERERGR2GAARERGR2WEARERERGaHARARERGZHQZAREREZHYYABEREZHZYQBEREREZocBEBEREZkdBkBERERkdhgAERERkdkxaQAkl8sxZ84c+Pr6ws7ODv7+/liwYAGEEKo8YWFhkEgkaq9u3bq9suxVq1bBx8cHtra2aNmyJU6fPl2STSEiIqJyxNKUH7548WKsXr0akZGRCAgIwNmzZxEeHg5nZ2dMmjRJla9bt25Yu3atatnGxqbQcn/55RdMnToV33zzDVq2bIlly5YhNDQUt27dQtWqVUusPURERFQ+mPQK0PHjx9GnTx/07NkTPj4+GDhwILp27apxtcbGxgbu7u6qV6VKlQotd+nSpRgzZgzCw8NRv359fPPNN7C3t8eaNWtKsjlERERUTpg0AAoKCkJUVBRu374NALh06RKOHj2K7t27q+U7ePAgqlatijp16mD8+PF4+vSpzjJzcnJw7tw5hISEqNIsLCwQEhKCEydOaF0nOzsbMplM7UVERESvL5N2gc2aNQsymQx169aFVCqFXC7HokWLMGzYMFWebt26oX///vD19UVsbCz+/e9/o3v37jhx4gSkUqlGmcnJyZDL5XBzc1NLd3Nzw82bN7XWIyIiAvPnzzdu44iIiKjMMmkAtGXLFmzcuBE///wzAgICcPHiRUyZMgWenp4YMWIEAGDIkCGq/A0aNEDDhg3h7++PgwcPonPnzkapx+zZszF16lTVskwmg5eXl1HKJiIiorLHpAHQjBkzMGvWLFWQ06BBAyQkJCAiIkIVAL3Mz88PVapUQUxMjNYAqEqVKpBKpUhKSlJLT0pKgru7u9YybWxsXjmwmoiIiF4fJh0DlJWVBQsL9SpIpVIoFAqd6yQmJuLp06fw8PDQ+r61tTUCAwMRFRWlSlMoFIiKikLr1q2NU3EiIiIq10waAPXq1QuLFi3Czp07ER8fj+3bt2Pp0qXo168fACAjIwMzZszAyZMnER8fj6ioKPTp0wc1a9ZEaGioqpzOnTtj5cqVquWpU6fi+++/R2RkJG7cuIHx48cjMzMT4eHhpd5GIiIiKntM2gW2YsUKzJkzBxMmTMDjx4/h6emJcePGYe7cuQDyrwZdvnwZkZGRSE1NhaenJ7p27YoFCxaodVnFxsYiOTlZtTx48GA8efIEc+fOxaNHj9C4cWPs3r1bY2A0ERERmSeJKHjbZQKQPwja2dkZaWlpcHJyMnV1iIiISA+G/H7zWWBERERkdhgAERERkdlhAERERERmhwEQERERmR0GQERERGR2GAARERGR2WEARERERGaHARARERGZHQZAREREZHYYABEREZHZYQBEREREZocBEBEREZkdBkBERERkdhgAERERkdlhAERERERmhwEQERERmR0GQERERGR2GAARERGR2WEARERERGaHARARERGZHQZAREREZHYYABEREZHZYQBEREREZocBEBEREZkdBkBERERkdhgAERERkdlhAERERERmhwEQERERmR0GQERERGR2GAARERGR2WEARERERGaHARARERGZHQZAREREZHYYABEREZHZYQBEREREZocBEBEREZkdBkBERERkdhgAERERkdkxaQAkl8sxZ84c+Pr6ws7ODv7+/liwYAGEEACA3NxcfPjhh2jQoAEcHBzg6emJ4cOH48GDB4WW+/HHH0Mikai96tatWxpNIiIionLA0pQfvnjxYqxevRqRkZEICAjA2bNnER4eDmdnZ0yaNAlZWVk4f/485syZg0aNGiElJQWTJ09G7969cfbs2ULLDggIwL59+1TLlpYmbSoRERGVISaNCo4fP44+ffqgZ8+eAAAfHx9s2rQJp0+fBgA4Oztj7969auusXLkSLVq0wN27d1GjRg2dZVtaWsLd3b3kKk9ERETllkm7wIKCghAVFYXbt28DAC5duoSjR4+ie/fuOtdJS0uDRCJBxYoVCy07Ojoanp6e8PPzw7Bhw3D37l2debOzsyGTydReRERE9Poy6RWgWbNmQSaToW7dupBKpZDL5Vi0aBGGDRumNf+LFy/w4YcfYujQoXByctJZbsuWLbFu3TrUqVMHDx8+xPz58xEcHIyrV6/C0dFRI39ERATmz59vtHYRERFR2SYRyhHHJrB582bMmDEDn3/+OQICAnDx4kVMmTIFS5cuxYgRI9Ty5ubmYsCAAUhMTMTBgwcLDYBelpqaCm9vbyxduhSjRo3SeD87OxvZ2dmqZZlMBi8vL6SlpRn0OURERGQ6MpkMzs7Oev1+m/QK0IwZMzBr1iwMGTIEANCgQQMkJCQgIiJCLQDKzc3FoEGDkJCQgP379xsclFSsWBG1a9dGTEyM1vdtbGxgY2NT9IYQERFRuWLSMUBZWVmwsFCvglQqhUKhUC0rg5/o6Gjs27cPlStXNvhzMjIyEBsbCw8Pj2LXmYiIiMo/kwZAvXr1wqJFi7Bz507Ex8dj+/btWLp0Kfr16wcgP/gZOHAgzp49i40bN0Iul+PRo0d49OgRcnJyVOV07twZK1euVC1Pnz4dhw4dQnx8PI4fP45+/fpBKpVi6NChpd5GIiIiKntM2gW2YsUKzJkzBxMmTMDjx4/h6emJcePGYe7cuQCA+/fv448//gAANG7cWG3dAwcOoEOHDgCA2NhYJCcnq95LTEzE0KFD8fTpU7i6uqJt27Y4efIkXF1dS6VdREREVLaZdBB0WWXIICoiIiIqGwz5/eazwIiIiMjsMAAiIiIis8MAiIiIiMwOAyAiIiIyOwyAiIiIyOwwACIiIiKzwwCIiIiIzA4DICIiIjI7DICIiIjI7DAAIiIiIrPDAIiIiIjMDgMgIiIiMjsMgIiIiMjsMAAiIiIis8MAiIiIiMwOAyAiIiIyOwyAiIiIyOwwACIiIiKzY2nqChC9LhQKgWsPZHiWlQMXe2sEeDrBwkJi6moREZEWDICIjOB4TDKW74/GnSeZyJErYC21gJ+rAyZ1qoWgmlVMXT0iInoJu8CIiul4TDJm/nYZ5xJS8Dg9G6lZuXicno1zCSmY+dtlHI9JNnUViYjoJQyAiIpBoRBYvj8aSbIXyJULtfdy5QJJshdYvj8aCoXQUQIREZkCAyCiYrj2QIY7TzI1gh+lXLnAnSeZuPZAVso1IyKiwjAAIiqGZ1k5yJErCs2TK1fgWVZOKdWIiIj0wQCIqBhc7K1hLS38NLKSWsDF3rqUakRERPpgAERUDAGeTvBzdYCVVPt0dyupBH6uDgjwdCrlmhERUWEYABEVg4WFBJM61YKbk61GEGQllcDNyRaTOtXi/YCIiMoYBkBExRRUswqWDGiIQO9KqOpog0r2VqjqaINA70pYMqAh7wNERFQG8UaIREYQVLMKWvlV5p2giYjKCQZAREZiYSFBg+rOpq4GERHpgV1gREREZHYYABEREZHZYQBEREREZocBEBEREZkdBkBERERkdhgAERERkdlhAERERERmhwEQERERmR0GQERERGR2eCdoLYQQAACZTGbimhAREZG+lL/byt/xwjAA0iI9PR0A4OXlZeKaEBERkaHS09Ph7Fz4o4kkQp8wycwoFAo8ePAAjo6OkEhK92GWMpkMXl5euHfvHpycnEr1s02B7X39mVubza29gPm1me0tu4QQSE9Ph6enJywsCh/lwytAWlhYWKB69eomrYOTk1OZP9CMie19/Zlbm82tvYD5tZntLZtedeVHiYOgiYiIyOwwACIiIiKzwwCojLGxscG8efNgY2Nj6qqUCrb39WdubTa39gLm12a29/XAQdBERERkdngFiIiIiMwOAyAiIiIyOwyAiIiIyOwwACIiIiKzwwCohPj4+EAikWi8Jk6cqDX/999/j+DgYFSqVAmVKlVCSEgITp8+rZYnLCxMo7xu3bqVRnP0Ymib161bp5HX1tZWLY8QAnPnzoWHhwfs7OwQEhKC6Ojo0mjOKxna3g4dOmjN37NnT1WesryP5XI55syZA19fX9jZ2cHf3x8LFix45TN3Dh48iKZNm8LGxgY1a9bEunXrNPKsWrUKPj4+sLW1RcuWLTWOfVMpSpu3bduGLl26wNXVFU5OTmjdujX27Nmjlufjjz/W2M9169Yt6ea8UlHae/DgQa3H9aNHj9TyvU77WNt5KpFIEBAQoMpTVvcxkP+YiClTpsDb2xt2dnYICgrCmTNnCl2nPJ/HOgkqEY8fPxYPHz5Uvfbu3SsAiAMHDmjN//bbb4tVq1aJCxcuiBs3boiwsDDh7OwsEhMTVXlGjBghunXrplbus2fPSqlFr2Zom9euXSucnJzU1nn06JFans8++0w4OzuL33//XVy6dEn07t1b+Pr6iufPn5dCiwpnaHufPn2qlv/q1atCKpWKtWvXqvKU5X28aNEiUblyZfHXX3+JuLg4sXXrVlGhQgXx1Vdf6Vznzp07wt7eXkydOlVcv35drFixQkilUrF7925Vns2bNwtra2uxZs0ace3aNTFmzBhRsWJFkZSUVBrNKlRR2jx58mSxePFicfr0aXH79m0xe/ZsYWVlJc6fP6/KM2/ePBEQEKC2n588eVIaTSpUUdp74MABAUDcunVLrT1yuVyV53Xbx6mpqWptvXfvnnBxcRHz5s1T5Smr+1gIIQYNGiTq168vDh06JKKjo8W8efOEk5OT2u9NQeX9PNaFAVApmTx5svD39xcKhUKv/Hl5ecLR0VFERkaq0kaMGCH69OlTQjU0vle1ee3atcLZ2Vnn+gqFQri7u4vPP/9clZaamipsbGzEpk2bjF3dYjN0H3/55ZfC0dFRZGRkqNLK8j7u2bOnGDlypFpa//79xbBhw3SuM3PmTBEQEKCWNnjwYBEaGqpabtGihZg4caJqWS6XC09PTxEREWGkmhddUdqsTf369cX8+fNVy/PmzRONGjUyRhWNqijtVQZAKSkpOvO87vt4+/btQiKRiPj4eFVaWd3HWVlZQiqVir/++kstvWnTpuI///mP1nXK+3msC7vASkFOTg42bNiAkSNH6v1w1aysLOTm5sLFxUUt/eDBg6hatSrq1KmD8ePH4+nTpyVR5WLTt80ZGRnw9vaGl5cX+vTpg2vXrqnei4uLw6NHjxASEqJKc3Z2RsuWLXHixIkSrb+hirKPf/zxRwwZMgQODg5q6WV1HwcFBSEqKgq3b98GAFy6dAlHjx5F9+7dda5z4sQJtf0HAKGhoar9l5OTg3PnzqnlsbCwQEhISJnYx0Vp88sUCgXS09M1zuXo6Gh4enrCz88Pw4YNw927d41a96IoTnsbN24MDw8PdOnSBceOHVOlm8M+/vHHHxESEgJvb2+19LK4j/Py8iCXyzWGG9jZ2eHo0aNa1ynv57FOpo7AzMEvv/wipFKpuH//vt7rjB8/Xvj5+al19WzatEns2LFDXL58WWzfvl3Uq1dPNG/eXOTl5ZVEtYtFnzYfP35cREZGigsXLoiDBw+KN998Uzg5OYl79+4JIYQ4duyYACAePHigtt5bb70lBg0aVKL1N5Sh+/jUqVMCgDh16pRaelnex3K5XHz44YdCIpEIS0tLIZFIxKefflroOrVq1dLIs3PnTgFAZGVlifv37wsA4vjx42p5ZsyYIVq0aGH0NhiqKG1+2eLFi0WlSpXUugL+/vtvsWXLFnHp0iWxe/du0bp1a1GjRg0hk8mM3QSDFKW9N2/eFN988404e/asOHbsmAgPDxeWlpbi3LlzQgjx2u/j+/fvC6lUKn755Re19LK6j4UQonXr1qJ9+/bi/v37Ii8vT6xfv15YWFiI2rVra81f3s9jXRgAlYKuXbuKN998U+/8ERERolKlSuLSpUuF5ouNjRUAxL59+4pbRaMztM1CCJGTkyP8/f3FRx99JIQoXwGQoe0dO3asaNCgwSvzlaV9vGnTJlG9enWxadMmcfnyZfHTTz8JFxcXsW7dOp3rlPcvzqK0uaCNGzcKe3t7sXfv3kLzpaSkCCcnJ/HDDz8Yo9pFVtz2KrVr10688847QoiyHwAVt82ffvqpqFy5ssjOzi40X1nZx0IIERMTI9q1aycACKlUKpo3by6GDRsm6tatqzV/eT+PdWEAVMLi4+OFhYWF+P333/XK//nnnwtnZ2dx5swZvfJXqVJFfPPNN8WpotEZ2uaCBg4cKIYMGSKE+N+P/4ULF9TytGvXTkyaNMkYVTUKQ9ubkZEhnJycxLJly/TKX1b2cfXq1cXKlSvV0hYsWCDq1Kmjc53g4GAxefJktbQ1a9YIJycnIYQQ2dnZQiqViu3bt6vlGT58uOjdu7dR6l0cRWmz0qZNm4SdnZ3GWAtdmjVrJmbNmlWkehpLcdpb0PTp00WrVq2EEK/3PlYoFKJmzZpiypQpen1WWdjHBWVkZKj+wBw0aJDo0aOH1nzl/TzWhWOAStjatWtRtWpVtanOuixZsgQLFizA7t270axZs1fmT0xMxNOnT+Hh4WGMqhqNIW0uSC6X48qVK6r2+Pr6wt3dHVFRUao8MpkMp06dQuvWrY1a5+IwtL1bt25FdnY23nnnnVfmLUv7OCsrCxYW6l8ZUqkUCoVC5zqtW7dW238AsHfvXtX+s7a2RmBgoFoehUKBqKioMrGPi9JmANi0aRPCw8OxadMmvY6LjIwMxMbGmnw/F7W9L7t48aKqLa/rPgaAQ4cOISYmBqNGjXpl3rKyjwtycHCAh4cHUlJSsGfPHvTp00drvvJ+Hutk6gjsdSaXy0WNGjXEhx9+qPHeu+++q/aXwGeffSasra3Fr7/+qjZtMj09XQghRHp6upg+fbo4ceKEiIuLE/v27RNNmzYVtWrVEi9evCi1Nr2KIW2eP3++2LNnj4iNjRXnzp0TQ4YMEba2tuLatWuqPJ999pmoWLGialxMnz59ysw0eCEMa69S27ZtxeDBgzXSy/o+HjFihKhWrZpquvC2bdtElSpVxMyZM1V5Zs2aJd59913VsnL67IwZM8SNGzfEqlWrtE6ftbGxEevWrRPXr18XY8eOFRUrVtS4JYIpFKXNGzduFJaWlmLVqlVq53Jqaqoqz7Rp08TBgwdFXFycOHbsmAgJCRFVqlQRjx8/LtX2vawo7f3yyy/F77//LqKjo8WVK1fE5MmThYWFhVq37eu2j5Xeeecd0bJlS63lltV9LIQQu3fvFrt27RJ37twR//zzj2jUqJFo2bKlyMnJEUK8fuexLgyAStCePXtU98d4Wfv27cWIESNUy97e3gKAxkt5X4msrCzRtWtX4erqKqysrIS3t7cYM2ZMmTu4DGnzlClTRI0aNYS1tbVwc3MTPXr0ULtXihD5l5jnzJkj3NzchI2NjejcubPWsk3FkPYKkT9gFID4559/NPKX9X0sk8nE5MmTRY0aNYStra3w8/MT//nPf9TGPowYMUK0b99ebb0DBw6Ixo0bC2tra+Hn56d23yOlFStWqI6FFi1aiJMnT5Zwa/RTlDa3b99e67lc8FgYPHiw8PDwENbW1qJatWpi8ODBIiYmphRbpl1R2rt48WLh7+8vbG1thYuLi+jQoYPYv3+/Rtmv0z4WIv+WHHZ2duK7777TWm5Z3cdC5E/a8PPzE9bW1sLd3V1MnDhRLUB/3c5jXSRCvOI2rkRERESvGY4BIiIiIrPDAIiIiIjMDgMgIiIiMjsMgIiIiMjsMAAiIiIis8MAiIiIiMwOAyAiIiIyOwyAiIiIyOwwACIis7Fu3TpUrFixVD7r1q1bcHd3R3p6ut6fPWvWLLz//vulUDsiYgBEREYVFhYGiUQCiUQCKysruLm5oUuXLlizZo3BD9UsDh8fHyxbtkwtbfDgwbh9+3apfP7s2bPx/vvvw9HRUe91pk+fjsjISNy5c6cEa0ZEAAMgIioB3bp1w8OHDxEfH49du3ahY8eOmDx5Mt58803k5eUVuVwhRLHWt7OzQ9WqVYu8vr7u3r2Lv/76C2FhYQatV6VKFYSGhmL16tUlUzEiUmEARERGZ2NjA3d3d1SrVg1NmzbFv//9b+zYsQO7du3CunXrAADx8fGQSCS4ePGiar3U1FRIJBIcPHgQAHDw4EFIJBLs2rULgYGBsLGxwdGjRxEbG4s+ffrAzc0NFSpUQPPmzbFv3z5VOR06dEBCQgI++OAD1dUoQHs31OrVq+Hv7w9ra2vUqVMH69evV3tfIpHghx9+QL9+/WBvb49atWrhjz/+KLT9W7ZsQaNGjVCtWjWN9/bs2YN69eqhQoUKqkCxoF69emHz5s2Flk9ExccAiIhKRadOndCoUSNs27bN4HVnzZqFzz77DDdu3EDDhg2RkZGBHj16ICoqChcuXEC3bt3Qq1cv3L17FwCwbds2VK9eHZ988gkePnyoEWQobd++HZMnT8a0adNw9epVjBs3DuHh4Thw4IBavvnz52PQoEG4fPkyevTogWHDhuHZs2c663vkyBE0a9ZMIz0rKwtffPEF1q9fj8OHD+Pu3buYPn26Wp4WLVogMTER8fHxBm4lIjIEAyAiKjV169Yt0g/7J598gi5dusDf3x8uLi5o1KgRxo0bhzfeeAO1atXCggUL4O/vr7oy4+LiAqlUCkdHR7i7u8Pd3V1ruV988QXCwsIwYcIE1K5dG1OnTkX//v3xxRdfqOULCwvD0KFDUbNmTXz66afIyMjA6dOnddY3ISEBnp6eGum5ubn45ptv0KxZMzRt2hTvvfceoqKi1PIo10tISDBoGxGRYRgAEVGpEUKouqMM8fLVlIyMDEyfPh316tVDxYoVUaFCBdy4cUN1BUhfN27cQJs2bdTS2rRpgxs3bqilNWzYUPV/BwcHODk54fHjxzrLff78OWxtbTXS7e3t4e/vr1r28PDQKMfOzg5A/tUiIio5lqauABGZjxs3bsDX1xcAYGGR//eXEEL1fm5urtb1HBwc1JanT5+OvXv34osvvkDNmjVhZ2eHgQMHIicnp0TqbWVlpbYskUgKndFWpUoVpKSk6FVOwfYDUHWtubq6FrW6RKQHXgEiolKxf/9+XLlyBQMGDADwvx/4guNzCg6ILsyxY8cQFhaGfv36oUGDBnB3d9foWrO2toZcLi+0nHr16uHYsWMaZdevX1+veujSpEkTXL9+vUjrXr16FVZWVggICChWHYiocLwCRERGl52djUePHkEulyMpKQm7d+9GREQE3nzzTQwfPhxAfldPq1at8Nlnn8HX1xePHz/GRx99pFf5tWrVwrZt29CrVy9IJBLMmTNH44qMj48PDh8+jCFDhsDGxgZVqlTRKGfGjBkYNGgQmjRpgpCQEPz555/Ytm2b2oyyoggNDcXo0aMhl8shlUoNWvfIkSMIDg5WdYURUcngFSAiMrrdu3fDw8MDPj4+6NatGw4cOIDly5djx44dagHBmjVrkJeXh8DAQEyZMgULFy7Uq/ylS5eiUqVKCAoKQq9evRAaGoqmTZuq5fnkk08QHx8Pf39/nd1Jffv2xVdffYUvvvgCAQEB+Pbbb7F27Vp06NChyG0HgO7du8PS0rJIgdTmzZsxZsyYYn0+Eb2aRLzcAU1ERMW2atUq/PHHH9izZ4/e6+zatQvTpk3D5cuXYWnJC/REJYlnGBFRCRg3bhxSU1ORnp6u9+MwMjMzsXbtWgY/RKWAV4CIiIjI7HAMEBEREZkdBkBERERkdhgAERERkdlhAERERERmhwEQERERmR0GQERERGR2GAARERGR2WEARERERGaHARARERGZnf8DPWl6fpEKaxsAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Correlation Coefficient: 0.5689383590758257\n"
+     ]
+    },
+    {
+     "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": [
+      "Correlation Coefficient: 0.6073186813484126\n"
+     ]
+    },
+    {
+     "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": [
+      "Correlation Coefficient: 0.39742763284921157\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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1hUKhQL9+/XRN8O3atTP7WJcuXcKyZcvwwQcfwMXF5ZnisiU2XT0jLy8vAJrEoCzS09MhlUoRGhpqsN3f3x/Vq1cv8QUJCgoq9Vh/fi41NRWAJgEqTU5ODmrUqGH0uZSUFLzzzjtITEws8YUuz81d+16ebG7TCgsLw7Zt20p0LGzQoIFBOW2s2dnZunNdGoVCUaKTYqNGjQBo2v87deqE1NRUnD9/Hr6+vkaPoe38Z0pkZCSKi4tx8OBB1K9fH3fv3kVkZCRSUlIMEp2mTZvqbmTaz0abEPyZ9r2lpaVBCIG4uDjExcWVGmPdunV1j02ds9K4uLhg0aJFmDZtGvz8/NCpUye88MILGDVqlMnq6bKev9TUVAgh0LBhQ6Pl/jwyryyfnTHa71NISIjBdmPXnDn279+PuXPn4uDBgyX6iOXk5Bj8mD+LUaNG4e9//zvS09MREBCAb7/9FkVFRRg5cqRFY/zzNQJorpMnr5H09PQSTTNA2c6l9rtu7PNu3LgxTpw48dRjlMbJyclo89f169cxZ84c/PTTTyWu9fLcr+7du4f8/PxS71dqtRo3btzQNfUB5fvulee+aI45c+YgMjISMpkMtWrVQlhYWLlHlk2aNAkREREYPHhwufavLJjoPCMvLy8oFAqcPXvWrP3K2hHMVPv4n5/T1tZ88MEHaNWqldF9SutP8+DBA3Tv3h1eXl549913ERISAldXV5w4cQJvv/22WR0Sn4VMJjO6XQhhkeOr1Wo0b94cS5cuNfp8/fr1n3qMdu3awdXVFXv37kWDBg1Qu3ZtNGrUCJGRkfjvf/+LgoIC7Nu3z6Avjfb8rVu3zmgiob0RactNnz691Jq8PyfJ5T1nkydPRv/+/fHDDz9g27ZtiIuLQ3x8PBITE9G6dWuj+5T1/KnVakgkEvz2229G4yvLSA9LK+0792Rne0DTp6FXr15o0qQJli5divr160Mul+PXX3/Fhx9+aNHvwrBhwzBlyhRs2LAB//jHP7B+/Xq0a9fuqcmFuTFW9PfKHGX9HLRcXFxKjCZVqVTo3bs3srKy8Pbbb6NJkybw8PDArVu3MGbMGIe5X5VH8+bNER0d/czHSUxMxO+//47NmzcbDFAoLi7Go0ePcO3aNfj4+Dz1D9DKgImOBbzwwgv49NNPcfDgQXTu3Nlk2YCAAKjVaqSmpiIsLEy3PTMzEw8ePCh1Mqiy0P5V6+XlZfaFvnv3bvzxxx/YvHkzunXrptv+ZE99rbImadr3cvHixRLPXbhwAbVq1bLYMFEAyMjIKPGX0KVLlwBA17k2JCQEp0+fRq9evZ76Pkp7Xi6Xo0OHDti3bx8aNGigaxKIjIxEQUEBNmzYgMzMTIPzqP1sateubfKz0VaZOzs7W+Rm9TQhISGYNm0apk2bhtTUVLRq1Qr//ve/sX79+lLLl+X8hYSEQAiBoKAgXc2MKWX57IzRfp8uX75skBwYu+Zq1KiBBw8elNj+51rUrVu3oqCgAD/99JPBX+xladY0xtR58vHxQb9+/bBhwwaMGDEC+/fvL9NknJaOEdCcS23N45OMnUtj+wIo0/7aWo8/fxammnv+7MyZM7h06RLWrl2LUaNG6bbv2LGjRNmy3q98fX3h7u5e6v1KKpWW6Q+hp7H2fbG8rl+/DgAYNGhQiedu3bqFoKAgfPjhh8/cTGwN7KNjATNnzoSHhwfGjx+PzMzMEs9fvnwZy5YtAwD07dsXAErczLR/IT/LaJG2bdsiJCQES5YswcOHD0s8b2rYo/Yvkyf/EiksLMR///vfEmU9PDzKVDVcp04dtGrVCmvXrjW4qZ09exbbt2/XnQtLKS4uxqpVq3SPCwsLsWrVKvj6+qJt27YANKO6bt26hc8++6zE/o8ePdL1uwE079PYDyOgSWoOHz6MXbt26RIdbTWxdoTYk30iYmJi4OXlhffeew9FRUUljqf9bGrXro0ePXpg1apVRifyKuvQ1afJz8/H48ePDbaFhITA09PT6DBxrbKev0GDBkEmk2HevHkl/roVQuCPP/4w2FaWz86YPn36AACWL19usN1YshASEoKcnBwkJyfrtt2+fbvESEdj34WcnBysXr261DhM0f5olXYtjRw5EufOncOMGTMgk8kwbNiwpx7T0jECmnvToUOHcOTIEd22e/fuGfQhKs2T3/Un7w07duzAuXPnDMoGBARAJpNh7969BtuN3WtKY+z9CyF099knPe38P3nM5557Dj/++KNBDUZmZiY2btyIrl27WqT2wtr3xfKKiorCli1bSvzz9fVFu3btsGXLFvTv39/WYZYJa3QsICQkBBs3bsTLL7+MsLAwg5mRDxw4gG+//VY3xXbLli0xevRofPrpp7rmoiNHjmDt2rV48cUX0bNnz3LHIZVK8fnnn6NPnz4IDw/H2LFjUbduXdy6dQu7du2Cl5cXtm7danTfiIgI1KhRA6NHj0ZsbCwkEgnWrVtntAq2bdu2+OabbzB16lS0b98e1apVK/WC/+CDD9CnTx907twZr776qm4Ypbe3t8VnilUoFFi0aBGuXbuGRo0a4ZtvvsGpU6fw6aef6vqEjBw5Eps2bcLf/vY37Nq1C126dIFKpcKFCxewadMm3ZxF2ve5c+dOLF26FAqFAkFBQbo+DJGRkVi4cCFu3LhhkNB069YNq1atQmBgoEG/Ai8vL6xcuRIjR45EmzZtMGzYMPj6+uL69ev45Zdf0KVLF/znP/8BAHz88cfo2rUrmjdvjtdeew3BwcHIzMzEwYMHcfPmTZw+ffqZz9WlS5fQq1cvDB06FE2bNoWTkxO2bNmCzMxMkz+0ZT1/ISEhWLBgAWbPno1r167hxRdfhKenJ65evYotW7bg9ddfx/Tp08367Ixp1aoVhg8fjv/+97/IyclBREQEEhISkJaWVqLssGHD8Pbbb+Oll15CbGysbnh/o0aNDPqQPPfcc5DL5ejfvz8mTJiAhw8f4rPPPkPt2rXLPIvsk7SJWmxsLGJiYkokM/369UPNmjXx7bffok+fPqhdu/ZTj2npGAHNH2zr1q3D888/j0mTJumGlwcEBBgkh6WJj49Hv3790LVrV4wbNw5ZWVlYsWIFwsPDDf7w8vb2xl/+8hesWLECEokEISEh+Pnnn8vUP06rSZMmCAkJwfTp03Hr1i14eXnh+++/N9o35mnn/0kLFizAjh070LVrV7z55ptwcnLCqlWrUFBQgMWLF5c5vqex5n3RmK1bt+ruI0VFRUhOTsaCBQsAAAMGDECLFi3QoEEDo327Jk+eDD8/P/uaMd76A70c16VLl8Rrr70mAgMDhVwuF56enqJLly5ixYoVBkOFi4qKxLx580RQUJBwdnYW9evXF7NnzzYoI0Tpw/ieNuTw5MmTYtCgQaJmzZrCxcVFBAQEiKFDh4qEhARdGWPDy/fv3y86deok3NzchEKhEDNnzhTbtm0rMRT04cOH4pVXXhHVq1c3GDpqbHioEELs3LlTdOnSRbi5uQkvLy/Rv39/ce7cOYMy2iG+9+7dM9huLE5junfvLsLDw8WxY8dE586dhaurqwgICBD/+c9/SpQtLCwUixYtEuHh4cLFxUXUqFFDtG3bVsybN0/k5OToyl24cEF069ZNuLm5CQAGQzCVSqWQyWTC09NTFBcX67avX79eABAjR440GueuXbtETEyM8Pb2Fq6uriIkJESMGTNGHDt2zKDc5cuXxahRo4S/v79wdnYWdevWFS+88IL47rvvSpybPw8bLW347pPu378vJk6cKJo0aSI8PDyEt7e36Nixo9i0aVOJ8/rk8Glzzp8QQnz//feia9euwsPDQ3h4eIgmTZqIiRMniosXLxq8Rlk/O2MePXokYmNjRc2aNYWHh4fo37+/uHHjRomhw0Johjs3a9ZMyOVy0bhxY7F+/Xqjw8t/+ukn0aJFC+Hq6ioCAwPFokWLxJdfflniWizL8PLi4mLx1ltvCV9fXyGRSIwOdX7zzTcFALFx48YyvWdzYiztPmLss01OThbdu3cXrq6uom7dumL+/Pniiy++KNN3UAjN5x0WFiZcXFxE06ZNxebNm40O6793754YPHiwcHd3FzVq1BATJkwQZ8+eNTq83MPDw+hrnTt3TkRHR4tq1aqJWrVqiddee02cPn3arPNv7Bo5ceKEiImJEdWqVRPu7u6iZ8+e4sCBAwZlnuW7p1WW+2J5hpeXpax22L6xf3++f/+ZPQ4vlwhhw15TRFTl9ejRA/fv3ze7Q//TSCQSzJ071y7WmJoyZQq++OIL3LlzRzchHhFZBvvoEBHZ0OPHj7F+/XoMHjyYSQ5RBWAfHSIiG7h79y527tyJ7777Dn/88YfBenhEZDlMdIiIbODcuXMYMWIEateujeXLl5c69xURPRv20SEiIiKHxT46RERE5LCY6BAREZHDcvg+Omq1GhkZGfD09CzzVOBERERkW0II5ObmQqFQlFjvzBwOn+hkZGRYZH0SIiIisr4bN24YXcG+rBw+0fH09ASgOVH2sMoqERERAUqlEvXr19f9jpeXwyc62uYqLy8vJjpERER25lm7nbAzMhERETksJjpERETksJjoEBERkcNiokNEREQOi4kOEREROSwmOkREROSwmOgQERGRw2KiQ0RERA6LiQ4RERE5LIefGZmIqCzUaoGUDCWy8gvh4y5HuMILUikXAiayd0x0iKjKO5B2H8sTU3HlXh4KVWrIZVIE+3ogNqohIkJr2To8InoGbLoioirtQNp9zPw+GcfTs3E3twAP8otwN7cAx9OzMfP7ZBxIu2/rEInoGTDRIaIqS60WWJ6YikzlYxSphMFzRSqBTOVjLE9MhVotSjkCEVV2THSIqMpKyVDiyr28EkmOVpFK4Mq9PKRkKK0cGRFZChMdIqqysvILUahSmyxTpFIjK7/QShERkaUx0SGiKsvHXQ65zPRt0FkmhY+73EoREZGlMdEhoiorXOGFYF8POMuMDyN3lkkQ7OuBcIWXlSMjIkthokNEVZZUKkFsVEP4ebmWSHacZRL4ebkiNqoh59MhsmNMdIioSosIrYXFg1ugbUAN1PZ0QQ13Z9T2dEHbgBpYPLgF59EhsnOcMJCIqryI0FroFFyTMyMTOSAmOkRE0DRjNa/nbeswiMjC2HRFREREDouJDhERETksJjpERETksJjoEBERkcNiokNEREQOi4kOEREROSwmOkREROSwmOgQERGRw2KiQ0RERA6LiQ4RERE5LCY6RERE5LCY6BAREZHDYqJDREREDouJDhERETksmyc6ubm5mDx5MgICAuDm5oaIiAgcPXrUaNm//e1vkEgk+Oijj6wbJBERkRWo1QJnbuZgz6V7OHMzB2q1sHVIds/J1gGMHz8eZ8+exbp166BQKLB+/XpER0fj3LlzqFu3rq7cli1bcOjQISgUChtGS0REVDEOpN3H8sRUXLmXh0KVGnKZFMG+HoiNaoiI0Fq2Ds9u2bRG59GjR/j++++xePFidOvWDaGhofjXv/6F0NBQrFy5Ulfu1q1beOutt7BhwwY4OzvbMGIiIiLLO5B2HzO/T8bx9GzczS3Ag/wi3M0twPH0bMz8PhkH0u7bOkS7ZdNEp7i4GCqVCq6urgbb3dzckJSUBABQq9UYOXIkZsyYgfDwcFuESUREVGHUaoHlianIVD5GkcqwqapIJZCpfIzlialsxionmyY6np6e6Ny5M+bPn4+MjAyoVCqsX78eBw8exO3btwEAixYtgpOTE2JjY8t0zIKCAiiVSoN/RERElVVKhhJX7uWVSHK0ilQCV+7lISWDv2flYfPOyOvWrYMQAnXr1oWLiwuWL1+O4cOHQyqV4vjx41i2bBnWrFkDiURSpuPFx8fD29tb969+/foV/A6IiIjKLyu/EIUqtckyRSo1svILrRSRY7F5ohMSEoI9e/bg4cOHuHHjBo4cOYKioiIEBwdj3759uHv3Lho0aAAnJyc4OTkhPT0d06ZNQ2BgoNHjzZ49Gzk5Obp/N27csO4bIiIiMoOPuxxymemfY2eZFD7ucitF5FhsPupKy8PDAx4eHsjOzsa2bduwePFiDB48GNHR0QblYmJiMHLkSIwdO9bocVxcXODi4mKNkImIiJ5ZuMILwb4eyM4vNNp85SyTINjXA+EKLxtEZ/9snuhs27YNQgg0btwYaWlpmDFjBpo0aYKxY8fC2dkZNWvWNCjv7OwMf39/NG7c2EYRExERWY5UKkFsVEPM/D65RIdkZ5kEfl6uiI1qCKm0bF04yJDNm65ycnIwceJENGnSBKNGjULXrl2xbds2DiMnIqIqIyK0FhYPboG2ATVQ29MFNdydUdvTBW0DamDx4BacR+cZSIQQDj1eTalUwtvbGzk5OfDyYrUfERFVXmq1QEqGEln5hfBxlyNc4VVla3Is9ftt86YrIiIi0pBKJWhez9vWYTgUmzddEREREVUUJjpERETksJjoEBERkcNiokNERETlU1gI7N4N/PijrSMpFTsjExERUdkIAZw/D+zYAWzfDuzZA+TlAcHBwMCBto7OKCY6REREVLp794CdOzWJzY4dwK1bJctcuaL5Fxxs/fiegokOERER6T1+DCQlaZKaHTuAkydNl3d1Bbp3Bx4+tE58ZmKiQ0REVJUJAZw5o2+O2rtXk+yY0qoV8Nxzmn9dumiSnUqKiQ4REVFVc/u2vsZmxw4gM9N0+bp1NUlN795Ar15A7drWidMCmOgQERE5uvx8TU2Ntp/N2bOmy3t4AD16aBKb3r2BsDBAYp9LUTDRISIicjRqNXDqlL45KilJMxS8NBIJ0L69PrHp3BmQy60WbkViokNEROQIbtzQN0Xt3Ancv2+6fIMGQEyMvjnKx8c6cVoZEx0iIiJ79PChZrI+ba3NhQumy3t5AT17ahKb554DQkPttjnKHEx0iIiI7IFKBRw/ru9nc/AgUFRUenmpFOjYUd+JuEMHwNnZevFWEkx0Kgm1WiAlQ4ms/EL4uMsRrvCCVGr9TLuyxEFERACuXtU3RyUkANnZpsuHhOj72URFAdWrWyXMyoyJTiVwIO0+liem4sq9PBSq1JDLpAj29UBsVENEhNaqcnEQEVVZOTlAYqI+uUlLM12+enVN/xptclMJZya2NYkQQtg6iIqkVCrh7e2NnJwceHl52TqcEg6k3cfM75ORqXyMIpX+o3CWSeDn5YrFg1tYJcmoLHEQEVUpxcXAkSP65qjDhzVNVKVxctKMiNI2R7VrB8hk1ovXiiz1+80aHRtSqwWWJ6aWSC4AoEglkKl8jOWJqegUXLNCm48qSxxERA5PCODyZX1ik5gIKJWm92nSRN+BuHt3wNPTOrE6CCY6NpSSocSVe3klkgutIpXAlXt5SMlQonk9b4ePg4jIIWVlaRIabXJz7Zrp8jVrAtHR+uaoBg2sEqajYqJjQ1n5hShUqU2WKVKpkZVvYpInB4qDiMghFBYChw7pE5ujRzU1OaVxdga6dtUnNm3aaEZMkUUw0bEhH3c55DLTF7OzTAof94qdnbKyxEFEZJeEAC5e1Cc2u3YBeXmm9wkP1zdHdeumWXKBKgQTHRsKV3gh2NcD2fmFRpuNnGUSBPt6IFxRsZ2oK0scRER24/59zezD2tFRN26YLl+7tr7GJjpas0gmWQUTHRuSSiWIjWpocrRTbFTDCu8AXFniICKqtAoKgP379bMQnzxpujnK1RWIjNSPjmrenM1RNsLh5ZXAk/PXFKnUcK4E8+jYMg4iIpsTAkhJ0TdH7dkDPHpkep+WLfWJTdeugJubdWJ1UJb6/WaiU0lUlhmJK0scRERWd+eOpjlq+3bNf2/fNl1eoTBsjvLzs06cVQTn0XEwUqmkUgzdrixxEBFVuEePgH379LU2ycmmy7u7a+ax0XYibtq0SiyKae+Y6BARUdWgVgOnT+v72SQlafrelEYi0Qz11iY2ERGAi4v14iWLYKJDRESO69YtfWKzcydw757p8vXra5Ka557TLIpZi/0T7R0THSIichx5eZqOw9rmqHPnTJevVg3o2VPfibhRIzZHORgmOkREZL9UKs1Qb21is38/UFRUenmpFGjfXp/YdOqkmZmYHBYTHSIisi/p6frmqIQEzVpSpgQF6RObqCigRg3rxEmVAhMdIiKq3JRKzbIK2lmIL10yXd7bW5PQaJObkBDrxEmVEhMdIiKqXIqLgWPH9M1RBw9qmqhKI5NpmqC0nYjbtQOc+PNGGrwSiIjI9q5c0Sc2CQlATo7p8o0a6Yd99+gBVOIJYcm2mOgQEZH1PXgAJCbq+9pcuWK6vI8P0KuXfibiwEBrREkOgIkOERFVvKIi4PBhfa3NkSOaCfxK4+wMdOmiT2zatNE0URGZiYkOERFZnhBAaqomsdm+Hdi9G8jNNb1PWJi+Oap7d80cN0TPiIkOERFZxh9/aPrXaEdHpaebLl+rlr7GpndvoF4968RJVQoTHSIiKp+CAs2IKG1z1PHjmpqc0sjlQGSkvtamZUvNBH5EFYiJjoNSqwVSMpTIyi+Ej7sc4QovSKWOPa15VXzPRFYlhGZJBW0H4j17gPx80/s0b66fzyYyUrMCOJEV2TzRyc3NRVxcHLZs2YK7d++idevWWLZsGdq3b4+ioiK88847+PXXX3HlyhV4e3sjOjoa77//PhQKha1Dr7QOpN3H8sRUXLmXh0KVGnKZFMG+HoiNaoiIUMdcoK4qvmciq7h7V7MYprbWJiPDdHl/f31TVHQ0UKeOdeIkKoVECFP1jBXv5ZdfxtmzZ7Fy5UooFAqsX78eH374Ic6dO4dq1aphyJAheO2119CyZUtkZ2dj0qRJUKlUOHbsWJmOr1Qq4e3tjZycHHhVgXkWDqTdx8zvk5GpfIwilf6jdZZJ4OflisWDWzjcD39VfM9EFebxYyApSZ/YnDplurybG9Ctm745qlkzLopJFmGp32+bJjqPHj2Cp6cnfvzxR/Tr10+3vW3btujTpw8WLFhQYp+jR4+iQ4cOSE9PR4MGDZ76GlUp0VGrBV75/BCOp2cb/OBrOcskaBtQAxvHd3KYJp2q+J6JLEoIIDlZ34F4715NsmNK69b6WYgjIgBXV+vESlWKpX6/bdp0VVxcDJVKBdc/fUnc3NyQlJRkdJ+cnBxIJBJUr17d6PMFBQUoKCjQPVYqlRaLt7JLyVDiyr08oz/4AFCkErhyLw8pGUo0r+dt5egqRlV8z0TPLCNDn9js3AlkZpouX6+evsamVy/A19c6cRJZgE0THU9PT3Tu3Bnz589HWFgY/Pz88NVXX+HgwYMIDQ0tUf7x48d4++23MXz48FKzu/j4eMybN6+iQ6+UsvILUagyMQEXgCKVGln5hVaKqOJVxfdMZLa8PE1NjbYTcUqK6fIeHkDPnvrkpnFjNkeR3bJ5Z+R169Zh3LhxqFu3LmQyGdq0aYPhw4fj+PHjBuWKioowdOhQCCGwcuXKUo83e/ZsTJ06VfdYqVSifv36FRZ/ZeLjLodcZnqoprNMCh93uZUiqnhV8T0TPZVaDZw8qU9s9u8HCk0k+xIJ0L69vhNx586aoeBEDsDmiU5ISAj27NmDvLw8KJVK1KlTBy+//DKCg4N1ZbRJTnp6OhITE0221bm4uMDFxcUaoVc64QovBPt6IDu/sNT+KsG+HghXOE5fpar4nomMunFDn9js3KmZvM+UgAD9sO9evTRrSRE5IJsnOloeHh7w8PBAdnY2tm3bhsWLFwPQJzmpqanYtWsXatasaeNIKy+pVILYqIYmRyDFRjV0qE65VfE9EwEAHj7ULKugTW4uXDBd3stL0xylTW5CQ9kcRVWCzYeXb9u2DUIING7cGGlpaZgxYwZcXV2xb98+AMCQIUNw4sQJ/Pzzz/Dz89Pt5+PjA3kZqlar0qgrrSfnlClSqeFcBeaUqYrvmaoYlUoz87A2sTl4ULNQZmlkMqBDB31i06GDZqFMIjvhEMPLAWDTpk2YPXs2bt68CR8fHwwePBgLFy6Et7c3rl27hqCgIKP77dq1Cz169Hjq8atiogNUzVmCq+J7Jgd39ao+sUlMBLKzTZcPDdV3IO7ZE/DmSEOyXw6T6FS0qproEJEdysnRJDTa5ObyZdPlq1fX9K/R1tqU8ochkT1yiHl0iIiqtOJi4MgRTVKzfbvm/1Wq0ss7OWkm6NPW2rRtq2miIqJSMdEhIrIWIYC0NP1kfYmJwNMmNW3SRJ/YdO8OeHpaJ1YiB8FEh4ioImVlAQkJ+uTm2jXT5WvW1CyGqW2OqiLzgBFVFCY6RESWVFioGRGl7Wdz7JimJqc0cjnQpYs+sWndGpCangSTiMqOiQ4R0bMQQjOHjTax2b1bs+SCKc2a6Wch7tZNs+QCEVUIJjpEROa6d0/THLV9uybBuXnTdPnatfWJTe/egEJhnTiJiIkOEdFTPX6sWS9KW2tz8qTp8q6uQGSkvjmqeXM2RxHZCBMdIqI/EwI4e1af2OzdCzx6ZHqfli31iU3XroCbm3ViJSKTmOgQEQHAnTuaxTC1i2Levm26vEKhH/bdqxfwxBI1RFR5MNEhoqopPx/Yt09fa3PmjOny7u6aeWyee07zLyyMi2IS2QEmOkRUNajVwOnT+g7ESUlAQUHp5SUSoE0bfXNURATg4mK9eInIIpjoEJHjunlTP1Hfzp2a0VKmNGigb46KigJq1bJOnERUYZjoEJHjePgQ2LNH3xx1/rzp8tWqaVb51tbaNGrE5igiB8NEh4jsl0oFnDihT2wOHACKikovL5UC7dvr+9l07Ag4O1svXiKyOiY6RJWUWi2QkqFEVn4hfNzlCFd4QSplbQPS0/X9bBISNGtJmRIUpK+xiYoCatSwTpxEDs5e7lFMdIgqoQNp97E8MRVX7uWhUKWGXCZFsK8HYqMaIiK0ivUbUSo1yyps3675l5pqury3tyah0SY3ISFWCZOoKrGne5RECFOrzdk/pVIJb29v5OTkwMvLy9bhED3VgbT7mPl9MjKVj1Gk0n89nWUS+Hm5YvHgFpXuRmJRxcXA0aP65qhDhzRNVKVxcgI6ddJ3Im7XTrONiCqEte5Rlvr95t2AqBJRqwWWJ6aWuIEAQJFKIFP5GMsTU9EpuGalrCIut8uX9YlNYiKQk2O6fKNG+sSmRw+Af8QQWYU93qOY6BBVIikZSly5l1fiBqJVpBK4ci8PKRlKNK/nbeXoLOjBA01Co22OunrVdHkfH83sw9rmqIAAq4RJRIbs8R7FRIeoEsnKL0ShSm2yTJFKjaz8QitFZCFFRcDhw/pOxEeOaCbwK42zM9Cli77WpnVrQCazXrxEZJQ93qOY6BBVIj7ucshlple5dpZJ4eMut1JE5SQEcOmSvjlq924gN9f0Pk2bahKb3r01Sy1Uq2aVUImo7OzxHsVEh6gSCVd4IdjXA9n5hUarhp1lEgT7eiBcUQn7pPzxh2a4t7bW5vp10+V9ffWJTXQ0UK+edeIkonKzx3sUEx2iSkQqlSA2qqHJEQ2xUQ0rRye/ggLNBH3aJRaOH9fU5JTGxQXo2lU/WV+LFpoJ/IjIbtjVPer/lWt4+YMHD/Ddd9/h8uXLmDFjBnx8fHDixAn4+fmhbt26FRFnuXF4OdmjJ+eoKFKp4VwZ5qgQAjh3Tt8ctWePZgVwU5o31yc2kZGAm5t1YiWiCmWNe5Slfr/NTnSSk5MRHR0Nb29vXLt2DRcvXkRwcDDeeecdXL9+Hf/73//KHUxFYKJD9qpSzDqamalZDFNba5ORYbq8v7++A3F0tOYxETmkir5H2WwenalTp2LMmDFYvHgxPD09ddv79u2LV155pdyBEJEhqVRi/eGZjx4BSUn6WpvTp02Xd3PTdBzW9rVp1oyLYhJVETa5R5WD2YnO0aNHsWrVqhLb69atizt37lgkKCKyEiGA5GR9YrNvH/D4sel92rTR19pERACurtaJlYioHMxOdFxcXKBUKktsv3TpEnx9fS0SFBFVoIwMTXPU9u2a/2Zmmi5fr54+senVSzNaiojITpid6AwYMADvvvsuNm3aBACQSCS4fv063n77bQwePNjiARLRM8rPB/bu1Q/7PnvWdHkPD82yCtpOxI0bszmKiOyW2Z2Rc3JyMGTIEBw7dgy5ublQKBS4c+cOOnfujF9//RUeHh4VFWu5sDMyVTlqNXDypL4DcVISUGhillKpVLMQprbWplMnQF55JvsioqrJZp2Rvb29sWPHDiQlJSE5ORkPHz5EmzZtEB0dXe4giOgZ3bih72eTkADcv2+6fGCgft2oqCjNWlJERA6oXPPo2BPW6JBDys3VLKugTW4uXjRd3stLk9BoR0eFhrI5iogqNZvV6Lz77rsmn58zZ065gyGiUqhUwLFj+sTm4EGguLj08jIZ0LGjvjmqQwfAiROhE1HVY/adb8uWLQaPi4qKcPXqVTg5OSEkJISJDpGlXL2qT2wSE4HsbNPlQ0P1iU3PnoB35Z/fgoioopmd6Jw8ebLENqVSiTFjxuCll16ySFBEVdKDB8CuXfpOxGlppstXr66ZfVjbHBUUZI0oiYjsisX66Jw5cwb9+/fHtWvXLHE4i2EfHaq0ioqAI0f0tTZHjmiaqErj5KSZoE9ba9O2raaJiojIAdmsj05pcnJykJOTY6nDETkeITS1NE82R+Xmmt6nSRN9jU2PHsATy64QEdHTmZ3oLF++3OCxEAK3b9/GunXr0KdPH4sFRuQQsrI0w721zVFPq/GsWVOf2PTuDdSvb5UwiYgcldmJzocffmjwWCqVwtfXF6NHj8bs2bMtFhiRXSos1IyI0tbaHDumqckpjVwOdO2qn9OmVSvNBH5ERGQRZic6V69erYg4iOyTEMCFC/rEZvduIC/P9D7NmukTm27dAHd3q4RKRFQVcWINsjm1WiAlQ4ms/EL4uMsRrvCCVFqJJ7O7d0/THKVdO+rmTdPl/fz0TVHR0YBCYZ04iYiobInOoEGDynzAzZs3mxVAbm4u4uLisGXLFty9exetW7fGsmXL0L59ewCaPkBz587FZ599hgcPHqBLly5YuXIlGjZsaNbrUOV0IO0+liem4sq9PBSq1JDLpAj29UBsVENEhNaydXgajx8D+/fra22MTLFgwNVVU1OjTW5atOAsxERENlKmRMe7AiceGz9+PM6ePYt169ZBoVBg/fr1iI6Oxrlz51C3bl0sXrwYy5cvx9q1axEUFIS4uDjExMTg3LlzcHV1rbC4qOIdSLuPmd8nI1P5GEUqfT+W7PxCzPw+GYsHt7BNsiOEZoVvbY3N3r3Ao0em92nVSt8c1bWrJtkhIiKbs+laV48ePYKnpyd+/PFH9OvXT7e9bdu26NOnD+bPnw+FQoFp06Zh+vTpADTD2P38/LBmzRoMGzbsqa/BeXQqJ7Va4JXPD+F4erZBkqPlLJOgbUANbBzfyTrNWHfu6EdG7diheWyKQqGfzyY6Gqhdu+JjJCKqQirdPDrlUVxcDJVKVaJmxs3NDUlJSbh69Sru3LljsDK6t7c3OnbsiIMHDxpNdAoKClBQUKB7rFQqK+4NULmlZChx5V6e0SQHAIpUAlfu5SElQ4nm9SqgRjE/H9i3T5/YJCebLu/urpnHRpvchIWxOYqIyA6UK9H57rvvsGnTJly/fh2FhYUGz504caLMx/H09ETnzp0xf/58hIWFwc/PD1999RUOHjyI0NBQ3Pn/v6r9/PwM9vPz89M992fx8fGYN2+eme+IrC0rvxCFKrXJMkUqNbLyC02WKTO1Gjh9Wt8clZQEPJEQlyCRAO3a6fvZdO4MuLhYJhYiIrIasyfsWL58OcaOHQs/Pz+cPHkSHTp0QM2aNXHlypVyTRi4bt06CCFQt25duLi4YPny5Rg+fDik5ZxLZPbs2bpZmnNycnDjxo1yHYcqlo+7HHKZ6c/YWSaFj7u8/C9y8yawejXwyiuAvz/Qpg0wa5ZmxJSxJKdBA2D8eOCbbzQjq44cARYu1NTkMMkhIrJLZtfo/Pe//8Wnn36K4cOHY82aNZg5cyaCg4MxZ84cZGVlmR1ASEgI9uzZg7y8PCiVStSpUwcvv/wygoOD4e/vDwDIzMxEnTp1dPtkZmaiVatWRo/n4uICF/4oVXrhCi8E+3ogO7+w1D46wb4eCFeY0S778CGwZ49+dNT586bLV6sGREXpa20aNWJzFBGRgzE70bl+/ToiIiIAaPrS5P7/Wj0jR45Ep06d8J///KdcgXh4eMDDwwPZ2dnYtm0bFi9ejKCgIPj7+yMhIUGX2CiVShw+fBhvvPFGuV6HKgepVILYqIZGR105yyTw83JFbFRD0x2RVSrgxAl9YnPggGahzNJfFOjQQd/PpmNHwNnZgu+KiIgqG7MTHX9/f2RlZSEgIAANGjTAoUOH0LJlS1y9ehXlGcC1bds2CCHQuHFjpKWlYcaMGWjSpAnGjh0LiUSCyZMnY8GCBWjYsKFueLlCocCLL75o9mtR5RIRWguLB7fQzaNTpFLD+Wnz6Fy7pu9AnJCgWUvKlOBg/bDvqCigevWKeCtERFRJmZ3oREVF4aeffkLr1q0xduxYTJkyBd999x2OHTtm1sSCWjk5OZg9ezZu3rwJHx8fDB48GAsXLoTz//+lPXPmTOTl5eH111/HgwcP0LVrV/z++++cQ8dBRITWQqfgmqXPjKxUArt26WttUlNNH9DbG+jVS98cFRJS8W+CiIgqrTLPo/Pzzz+jb9++AAC1Wg0nJ02O9PXXX+PAgQNo2LAhJkyYALn8GTqPVgDOo2NniouBo0f1ic2hQ5omqtI4OQGdOumbo9q102wjIiK7Zqnf7zInOk5OTvDz88OYMWMwbtw4hNjJX8pMdOzA5cv6Yd+JiUBOjunyjRrpm6N69AD4uRIRORyrTxh49epVrF69GmvXrsX777+Prl27Yvz48RgyZAjc3NzKHQBVQdnZmoRGm9xcvWq6vI+PvjnqueeAgADrxElERHavXEtA7Nq1C2vWrMH3338PJycnDBs2DK+++qpuIc7KhDU6lUBRkaYJSpvYHD2qmcCvNM7OQJcu+sSmdWtAJrNevEREZHNWb7oyJjc3F19//TXWrFmDQ4cOoVmzZjh9+nS5g6kITHRsQAjg0iV9P5tduzRz3JjStKm+OapbN80cN0REVGVVirWuPD090atXL6Snp+PChQs4d+7csxyO7Nn9+5rh3trk5mkzUteurVkMU7soZt261omTiIiqlHIlOo8ePcK3336LL7/8Evv27UNQUBCmTp2KMWPGWDg8qrQKCjQT9Gmbo06c0NTklMbFBYiM1NfatGihmcCPiIioApmV6Bw6dAhffvklNm3ahMLCQgwaNAg7d+5Ez549Kyo+qiyEAM6d0yc2e/ZoVgA3pUULfWITGQmw0zoREVlZmROdpk2b4uLFi2jdujXi4+PxyiuvwNvbuyJjI1vLzAR27tTPRJyRYbp8nTr6DsTR0cCfVp0nIiKytjInOtHR0fjqq6/QsmXLioyHbOnRIyApSd/P5mkdy93cgO7d9bU24eFcFJOIiCqVMic6y5cvr8g4yBbUaiA5WV9js28f8Pix6X3atNEnNhERAJfiICKiSoxz5Vc1GRn6GpudO4G7d02Xr19fv25Ur16Ar6914iQiIrIAJjqOLi8P2LtX34k4JcV0+WrVNMsqaPvaNG7M5igiIrJbTHQcjVqtGeqtbY7avx8oLCy9vFSqWQhTm9h06gRUsoVZiYiIyuuZEp3Hjx/DlX00bO/6dX1zVEIC8McfpssHBur72URFadaSIiIickBmJzpqtRoLFy7EJ598gszMTFy6dAnBwcGIi4tDYGAgXn311YqIk56Umwvs3q1Pbi5eNF3ey0uT0GiTm5CQEs1RarVASoYSWfmF8HGXI1zhBamUTVbkeHitE1UtZic6CxYswNq1a7F48WK89tpruu3NmjXDRx99xESnIhQXA8eO6ZujDh7UbCuNTAZ07KhPbDp0AJxK/6gPpN3H8sRUXLmXh0KVGnKZFMG+HoiNaoiI0FoV8IaIbIPXOlHVY/ainqGhoVi1ahV69eoFT09PnD59GsHBwbhw4QI6d+6M7Ozsioq1XOx2Uc+rV/UdiBMSgAcPTJcPDdWPjoqKAso4meOBtPuY+X0yMpWPUaTSXwrOMgn8vFyxeHAL/gCQQ+C1TmRfbLao561btxAaGlpiu1qtRlFRUbkDqfIePNCs8q1Nbi5fNl2+Rg3NcG9tchMUZPZLqtUCyxNTS9z4AaBIJZCpfIzlianoFFyTVftk13itE1VdZic6TZs2xb59+xAQEGCw/bvvvkPr1q0tFpjDKyoCjhzRJzaHD2tGTJXG2Rno3FnfHNW2raaJ6hmkZChx5V5eiRu/LkSVwJV7eUjJUKJ5PS73QfaL1zpR1WV2ojNnzhyMHj0at27dglqtxubNm3Hx4kX873//w88//1wRMToGIYDUVH0/m8RETadiU8LC9MO+u3fXzHFjQVn5hShUmUiuABSp1MjKNzE8ncgO8FonqrrMTnQGDhyIrVu34t1334WHhwfmzJmDNm3aYOvWrejdu3dFxGi//vhD079Gm9ykp5suX6uWZjFM7aKY9etXaHg+7nLIZVKTZZxlUvi4c14dsm+81omqLrMSneLiYrz33nsYN24cduzYUVEx2a/CQs2IKG1z1LFjmpqc0sjlQGSkvp9Nq1aaCfysJFzhhWBfD2TnFxqt0neWSRDs64FwhR114iYygtc6UdVlVqLj5OSExYsXY9SoURUVj30RArhwQZ/Y7N6tWXLBlObN9c1RkZGAu7tVQjVGKpUgNqqhyZEosVEN2TmT7B6vdaKqy+ymq169emHPnj0IDAysgHDsxJUrwIIFmgTn1i3TZf38NM1QMTGa/9apY50YyygitBYWD26hm1ukSKWGM+cWIQfEa52oajI70enTpw9mzZqFM2fOoG3btvDw8DB4fsCAARYLrtKSy4HVq40/5+oKdOumHx3VvHmlXxQzIrQWOgXX5Gyx5PB4rRNVPWZPGCg10YdEIpFApVI9c1CWVGETBjZtCpw/r/n/1q31/Wy6dtUkO0RERFRuNpswUG1qrpeqJC5O899evYDatW0bCxERERn1TKuXV2nDh9s6AiIiInqKco1l3rNnD/r374/Q0FCEhoZiwIAB2Ldvn6VjIyIiInomZic669evR3R0NNzd3REbG4vY2Fi4ubmhV69e2LhxY0XESERERFQuZndGDgsLw+uvv44pU6YYbF+6dCk+++wznNd20K0k7Hb1ciIioirMUr/fZtfoXLlyBf379y+xfcCAAbh69Wq5AyEiIiKyNLMTnfr16yMhIaHE9p07d6J+Ba/NRERERGQOs0ddTZs2DbGxsTh16hQiIiIAAPv378eaNWuwbNkyiwdIREREVF5mJzpvvPEG/P398e9//xubNm0CoOm3880332DgwIEWD5CIiIiovMzujGxv2BmZiIjI/tisM/LRo0dx+PDhEtsPHz6MY8eOlTsQIiIiIkszO9GZOHEibty4UWL7rVu3MHHiRIsERURERGQJZic6586dQ5s2bUpsb926Nc6dO2eRoIiIiIgswexEx8XFBZmZmSW23759G05OXDqLiIiIKg+zE53nnnsOs2fPRk5Ojm7bgwcP8I9//AO9e/e2aHBEREREz8LsRGfJkiW4ceMGAgIC0LNnT/Ts2RNBQUG4c+cO/v3vf5t1LJVKhbi4OAQFBcHNzQ0hISGYP38+nhwI9vDhQ/z9739HvXr14ObmhqZNm+KTTz4xN2wiIiKqgsxua6pbty6Sk5OxYcMGnD59Gm5ubhg7diyGDx8OZ2dns461aNEirFy5EmvXrkV4eDiOHTuGsWPHwtvbG7GxsQCAqVOnIjExEevXr0dgYCC2b9+ON998EwqFAgMGDDA3fCIiIqpCbDqPzgsvvAA/Pz988cUXum2DBw+Gm5sb1q9fDwBo1qwZXn75ZcTFxenKtG3bFn369MGCBQue+hqcR4eIiMj+WH0enUuXLuHIkSMG2xISEtCzZ0906NAB7733ntkvHhERgYSEBFy6dAkAcPr0aSQlJaFPnz4GZX766SfcunULQgjs2rULly5dwnPPPWf0mAUFBVAqlQb/iIiIqGoqc6Lz9ttv4+eff9Y9vnr1Kvr37w+5XI7OnTsjPj4eH330kVkvPmvWLAwbNgxNmjSBs7MzWrdujcmTJ2PEiBG6MitWrEDTpk1Rr149yOVyPP/88/j444/RrVs3o8eMj4+Ht7e37h8XGiUiIqq6ytxH59ixY5g5c6bu8YYNG9CoUSNs27YNANCiRQusWLECkydPLvOLb9q0CRs2bMDGjRsRHh6OU6dOYfLkyVAoFBg9ejQATaJz6NAh/PTTTwgICMDevXsxceJEKBQKREdHlzjm7NmzMXXqVN1jpVLJZIeIiKiKKnMfHTc3N1y6dEmXNPTq1QsRERGYP38+AODy5cto27YtHjx4UOYXr1+/PmbNmmUwo/KCBQuwfv16XLhwAY8ePYK3tze2bNmCfv366cqMHz8eN2/exO+///7U12AfHSIiIvtj9T46Pj4+uH37NgBArVbj2LFj6NSpk+75wsJCmNuvOT8/H1KpYQgymQxqtRoAUFRUhKKiIpNliIiIiEpT5qarHj16YP78+fjvf/+Lb7/9Fmq1Gj169NA9f+7cOQQGBpr14v3798fChQvRoEEDhIeH4+TJk1i6dCnGjRsHAPDy8kL37t0xY8YMuLm5ISAgAHv27MH//vc/LF261KzXIiIioqqnzE1X165dQ+/evXH58mXIZDIsX74cb7zxhu75F198EUFBQfjwww/L/OK5ubmIi4vDli1bcPfuXSgUCgwfPhxz5syBXC4HANy5cwezZ8/G9u3bkZWVhYCAALz++uuYMmUKJBLJU1+DTVdERET2x1K/32bNo1NcXIyUlBT4+vpCoVAYPHf69GnUq1cPNWvWLHcwFYGJDhERkf2x1O+3WTMjOzk5oWXLlkafK207ERERka2YvdYVERERkb1gokNEREQOi4kOEREROSwmOkREROSwzOqMrJWdnY0vvvgC58+fBwCEhYVh3Lhx8PHxsWhwRERERM/C7BqdvXv3IigoCMuXL0d2djays7OxYsUKBAUFYe/evRURIxEREVG5mDWPDgA0b94cnTt3xsqVKyGTyQAAKpUKb775Jg4cOIAzZ85USKDlxXl0iIiI7I/V17rSSktLw7Rp03RJDqBZe2rq1KlIS0srdyBERERElmZ2otOmTRtd35wnnT9/npMGEhERUaVidmfk2NhYTJo0CWlpabrVyw8dOoSPP/4Y77//PpKTk3VlW7RoYblIiYiIiMxkdh8dqdR0JZBEIoEQAhKJBCqV6pmCswT20SEiIrI/NlnrCgCuXr1a7hcjIiIisiazE52AgICKiIOIiIjI4so1M/K6devQpUsXKBQKpKenAwA++ugj/PjjjxYNjoiIiOhZmJ3orFy5ElOnTkXfvn3x4MEDXT+c6tWr46OPPrJ0fERERETlZnais2LFCnz22Wf45z//aTCXTrt27SrdZIFERERUtZmd6Fy9ehWtW7cusd3FxQV5eXkWCYqIiIjIEsxOdIKCgnDq1KkS23///XeEhYVZIiYiIiIiizB71NXUqVMxceJEPH78GEIIHDlyBF999RXi4+Px+eefV0SMREREROVidqIzfvx4uLm54Z133kF+fj5eeeUVKBQKLFu2DMOGDauIGImIiIjKxeyZkZ+Un5+Phw8fonbt2paMyaI4MzIREZH9sdnq5QBQXFyMnTt3Yt26dXBzcwMAZGRk4OHDh+UOhIiIiMjSzG66Sk9Px/PPP4/r16+joKAAvXv3hqenJxYtWoSCggJ88sknFREnERERkdnMrtGZNGkS2rVrh+zsbF1tDgC89NJLSEhIsGhwRERERM/C7Bqdffv24cCBA5DL5QbbAwMDcevWLYsFRkRERPSszK7RUavVumUfnnTz5k14enpaJCgiIiIiSzA70XnuuecM1rSSSCR4+PAh5s6di759+1oyNiIiIqJnYvbw8ps3byImJgZCCKSmpqJdu3ZITU1FrVq1sHfv3ko31JzDy4mIiOyPpX6/yzWPTnFxMb7++mskJyfj4cOHaNOmDUaMGGHQObmyYKJDRERkfyz1+212Z2QAcHJywl//+tdyvygRERGRNZQp0fnpp5/KfMABAwaUOxgiIiIiSypTovPiiy+W6WASicToiCwiIiIiWyhToqNWqys6DiIiIiKLK9daV0RERET2oMyJzsGDB/Hzzz8bbPvf//6HoKAg1K5dG6+//joKCgosHiARERFReZU50Xn33XeRkpKie3zmzBm8+uqriI6OxqxZs7B161bEx8dXSJBERERE5VHmROfUqVPo1auX7vHXX3+Njh074rPPPsPUqVOxfPlybNq0qUKCJCIiIiqPMic62dnZ8PPz0z3es2cP+vTpo3vcvn173Lhxw7LRERERET2DMic6fn5+uHr1KgCgsLAQJ06cQKdOnXTP5+bmwtnZ2fIREhEREZVTmROdvn37YtasWdi3bx9mz54Nd3d3REZG6p5PTk5GSEiIWS+uUqkQFxeHoKAguLm5ISQkBPPnz8efV6U4f/48BgwYAG9vb3h4eKB9+/a4fv26Wa9FREREVU+Zl4CYP38+Bg0ahO7du6NatWpYu3Yt5HK57vkvv/wSzz33nFkvvmjRIqxcuRJr165FeHg4jh07hrFjx8Lb2xuxsbEAgMuXL6Nr16549dVXMW/ePHh5eSElJQWurq5mvRYRERFVPWYv6pmTk4Nq1apBJpMZbM/KykK1atUMkp+neeGFF+Dn54cvvvhCt23w4MFwc3PD+vXrAQDDhg2Ds7Mz1q1bZ06YOlzUk4iIyP5Y6vfb7AkDvb29SyQ5AODj42NWkgMAERERSEhIwKVLlwAAp0+fRlJSkq6Ts1qtxi+//IJGjRohJiYGtWvXRseOHfHDDz+YGzYRERFVQTadGXnWrFkYNmwYmjRpAmdnZ7Ru3RqTJ0/GiBEjAAB3797Fw4cP8f777+P555/H9u3b8dJLL2HQoEHYs2eP0WMWFBRAqVQa/CMiIqKqqcx9dCrCpk2bsGHDBmzcuBHh4eE4deoUJk+eDIVCgdGjR+vW2Bo4cCCmTJkCAGjVqhUOHDiATz75BN27dy9xzPj4eMybN8+q74OIiIgqJ5vW6MyYMUNXq9O8eXOMHDkSU6ZM0c2wXKtWLTg5OaFp06YG+4WFhZU66mr27NnIycnR/ePcPkRERFWXTWt08vPzIZUa5loymUxXkyOXy9G+fXtcvHjRoMylS5cQEBBg9JguLi5wcXGpmICJiIjIrtg00enfvz8WLlyIBg0aIDw8HCdPnsTSpUsxbtw4XZkZM2bg5ZdfRrdu3dCzZ0/8/vvv2Lp1K3bv3m27wImIiMgumD283JJyc3MRFxeHLVu24O7du1AoFBg+fDjmzJlTYo6e+Ph43Lx5E40bN8a8efMwcODAMr0Gh5cTERHZH0v9fts00bEGJjpERET2x2bz6BARERHZCyY6RERE5LCY6BAREZHDYqJDREREDouJDhERETksJjpERETksJjoEBERkcNiokNEREQOi4kOEREROSwmOkREROSwmOgQERGRw2KiQ0RERA6LiQ4RERE5LCY6RERE5LCY6BAREZHDYqJDREREDouJDhERETksJjpERETksJjoEBERkcNiokNEREQOi4kOEREROSwmOkREROSwmOgQERGRw2KiQ0RERA6LiQ4RERE5LCY6RERE5LCY6BAREZHDYqJDREREDouJDhERETksJjpERETksJjoEBERkcNiokNEREQOi4kOEREROSwmOkREROSwmOgQERGRw2KiQ0RERA6LiQ4RERE5LCY6RERE5LCY6BAREZHDYqJDREREDouJDhERETksmyY6KpUKcXFxCAoKgpubG0JCQjB//nwIIYyW/9vf/gaJRIKPPvrIuoESERGRXXKy5YsvWrQIK1euxNq1axEeHo5jx45h7Nix8Pb2RmxsrEHZLVu24NChQ1AoFDaKloiIiOyNTROdAwcOYODAgejXrx8AIDAwEF999RWOHDliUO7WrVt46623sG3bNl1ZIiIioqexadNVREQEEhIScOnSJQDA6dOnkZSUhD59+ujKqNVqjBw5EjNmzEB4ePhTj1lQUAClUmnwj4iIiKomm9bozJo1C0qlEk2aNIFMJoNKpcLChQsxYsQIXZlFixbBycmpRFNWaeLj4zFv3ryKCpmIiIjsiE1rdDZt2oQNGzZg48aNOHHiBNauXYslS5Zg7dq1AIDjx49j2bJlWLNmDSQSSZmOOXv2bOTk5Oj+3bhxoyLfAhEREVViElHaECcrqF+/PmbNmoWJEyfqti1YsADr16/HhQsX8NFHH2Hq1KmQSvX5mEqlglQqRf369XHt2rWnvoZSqYS3tzdycnLg5eVVEW+DiIiILMxSv982bbrKz883SGIAQCaTQa1WAwBGjhyJ6Ohog+djYmIwcuRIjB071mpxEhERkX2yaaLTv39/LFy4EA0aNEB4eDhOnjyJpUuXYty4cQCAmjVrombNmgb7ODs7w9/fH40bN7ZFyERERGRHbJrorFixAnFxcXjzzTdx9+5dKBQKTJgwAXPmzLFlWEREROQgbNpHxxrYR4eIiMj+WOr3m2tdERERkcNiokNEREQOi4kOEREROSwmOkREROSwmOgQERGRw2KiQ0RERA6LiQ4RERE5LCY6RERE5LCY6BAREZHDYqJDREREDouJDhERETksJjpERETksJjoEBERkcNiokNEREQOy8nWAdgrtVogJUOJrPxC+LjLEa7wglQqsXVYRERE9AQmOuVwIO0+liem4sq9PBSq1JDLpAj29UBsVENEhNaydXhERET0/9h0ZaYDafcx8/tkHE/Pxt3cAjzIL8Ld3AIcT8/GzO+TcSDtvq1DJCIiov/HRMcMarXA8sRUZCofo0glDJ4rUglkKh9jeWIq1GpRyhGIiIjImpjomCElQ4kr9/JKJDlaRSqBK/fykJKhtHJkREREZAwTHTNk5ReiUKU2WaZIpUZWfqGVIiIiIiJTmOiYwcddDrnM9Clzlknh4y63UkRERERkChMdM4QrvBDs6wFnmfFh5M4yCYJ9PRCu8LJyZERERGQMEx0zSKUSxEY1hJ+Xa4lkx1kmgZ+XK2KjGnI+HSIiokqCiY6ZIkJrYfHgFmgbUAO1PV1Qw90ZtT1d0DagBhYPbsF5dIiIiCoRThhYDhGhtdApuCZnRiYiIqrkmOiUk1QqQfN63rYOg4iIiExg0xURERE5LCY6RERE5LCY6BAREZHDYqJDREREDouJDhERETksJjpERETksJjoEBERkcNiokNEREQOi4kOEREROSwmOkREROSwmOgQERGRw2KiQ0RERA6LiQ4RERE5LCY6RERE5LCcbB0AVTy1WiAlQ4ms/EL4uMsRrvCCVCqxdVhEREQVzqY1OiqVCnFxcQgKCoKbmxtCQkIwf/58CCEAAEVFRXj77bfRvHlzeHh4QKFQYNSoUcjIyLBl2HblQNp9vPL5Iby69igmfX0Sr649ilc+P4QDafdtHRoREVGFs2mNzqJFi7By5UqsXbsW4eHhOHbsGMaOHQtvb2/ExsYiPz8fJ06cQFxcHFq2bIns7GxMmjQJAwYMwLFjx2wZul04kHYfM79PRqbyMYpUQrc9O78QM79PxuLBLRARWsuGERIREVUsidBWn9jACy+8AD8/P3zxxRe6bYMHD4abmxvWr19vdJ+jR4+iQ4cOSE9PR4MGDZ76GkqlEt7e3sjJyYGXl5fFYq/s1GqBVz4/hOPp2QZJjpazTIK2ATWwcXwnNmMREVGlY6nfb5s2XUVERCAhIQGXLl0CAJw+fRpJSUno06dPqfvk5ORAIpGgevXqRp8vKCiAUqk0+FcVpWQoceVentEkBwCKVAJX7uUhJaNqnh8iIqoabNp0NWvWLCiVSjRp0gQymQwqlQoLFy7EiBEjjJZ//Pgx3n77bQwfPrzU7C4+Ph7z5s2ryLDtQlZ+IQpVapNlilRqZOUXWikiIiIi67Npjc6mTZuwYcMGbNy4ESdOnMDatWuxZMkSrF27tkTZoqIiDB06FEIIrFy5stRjzp49Gzk5Obp/N27cqMi3UGn5uMshl5n+eJ1lUvi4y60UERERkfXZtEZnxowZmDVrFoYNGwYAaN68OdLT0xEfH4/Ro0frymmTnPT0dCQmJppsq3NxcYGLi0uFx17ZhSu8EOzrgez8wlL76AT7eiBcUXX6LRERUdVj0xqd/Px8SKWGIchkMqjV+iYXbZKTmpqKnTt3ombNmtYO0y5JpRLERjWEn5crnGWGnY2dZRL4ebkiNqohOyITEZFDs2mNTv/+/bFw4UI0aNAA4eHhOHnyJJYuXYpx48YB0CQ5Q4YMwYkTJ/Dzzz9DpVLhzp07AAAfHx/I5Wx2MSUitBYWD26B5Ymp/98xWQ1nmRTBvh6IjWrIoeVEROTwbDq8PDc3F3FxcdiyZQvu3r0LhUKB4cOHY86cOZDL5bh27RqCgoKM7rtr1y706NHjqa9RVYeXP4kzIxMRkb2x1O+3TRMda2CiQ0REZH8cYh4dIiIioorERIeIiIgcFhMdIiIiclhMdIiIiMhhMdEhIiIih8VEh4iIiBwWEx0iIiJyWEx0iIiIyGEx0SEiIiKHZdO1rqxBO/GzUqm0cSRERERUVtrf7WddwMHhE53c3FwAQP369W0cCREREZkrNzcX3t7e5d7f4de6UqvVyMjIgKenJyQSx1nIUqlUon79+rhx4wbX8LIwntuKw3NbcXhuKwbPa8V52rkVQiA3NxcKhQJSafl72jh8jY5UKkW9evVsHUaF8fLy4pevgvDcVhye24rDc1sxeF4rjqlz+yw1OVrsjExEREQOi4kOEREROSwmOnbKxcUFc+fOhYuLi61DcTg8txWH57bi8NxWDJ7XimOtc+vwnZGJiIio6mKNDhERETksJjpERETksJjoEBERkcNiokNEREQOi4lOJRUYGAiJRFLi38SJE42WX7NmTYmyrq6uVo668lOpVIiLi0NQUBDc3NwQEhKC+fPnP3Utld27d6NNmzZwcXFBaGgo1qxZY52A7Uh5zu3u3buNXud37tyxYuSVX25uLiZPnoyAgAC4ubkhIiICR48eNbkPr9myMffc8po1bu/evejfvz8UCgUkEgl++OEHg+eFEJgzZw7q1KkDNzc3REdHIzU19anH/fjjjxEYGAhXV1d07NgRR44cMT84QZXS3bt3xe3bt3X/duzYIQCIXbt2GS2/evVq4eXlZbDPnTt3rBu0HVi4cKGoWbOm+Pnnn8XVq1fFt99+K6pVqyaWLVtW6j5XrlwR7u7uYurUqeLcuXNixYoVQiaTid9//92KkVd+5Tm3u3btEgDExYsXDa5dlUplxcgrv6FDh4qmTZuKPXv2iNTUVDF37lzh5eUlbt68abQ8r9myM/fc8po17tdffxX//Oc/xebNmwUAsWXLFoPn33//feHt7S1++OEHcfr0aTFgwAARFBQkHj16VOoxv/76ayGXy8WXX34pUlJSxGuvvSaqV68uMjMzzYqNiY6dmDRpkggJCRFqtdro86tXrxbe3t7WDcoO9evXT4wbN85g26BBg8SIESNK3WfmzJkiPDzcYNvLL78sYmJiKiRGe1Wec6v90cjOzq7g6OxXfn6+kMlk4ueffzbY3qZNG/HPf/7T6D68ZsumPOeW1+zT/TnRUavVwt/fX3zwwQe6bQ8ePBAuLi7iq6++KvU4HTp0EBMnTtQ9VqlUQqFQiPj4eLPiYdOVHSgsLMT69esxbtw4kwuTPnz4EAEBAahfvz4GDhyIlJQUK0ZpHyIiIpCQkIBLly4BAE6fPo2kpCT06dOn1H0OHjyI6Ohog20xMTE4ePBghcZqb8pzbrVatWqFOnXqoHfv3ti/f39Fh2pXiouLoVKpSjRFu7m5ISkpyeg+vGbLpjznVovXbNldvXoVd+7cMbgmvb290bFjx1KvycLCQhw/ftxgH6lUiujoaLOvY4df1NMR/PDDD3jw4AHGjBlTapnGjRvjyy+/RIsWLZCTk4MlS5YgIiICKSkpDr2oqblmzZoFpVKJJk2aQCaTQaVSYeHChRgxYkSp+9y5cwd+fn4G2/z8/KBUKvHo0SO4ublVdNh2oTzntk6dOvjkk0/Qrl07FBQU4PPPP0ePHj1w+PBhtGnTxorRV16enp7o3Lkz5s+fj7CwMPj5+eGrr77CwYMHERoaanQfXrNlU55zy2vWfNr+S8auydL6Nt2/fx8qlcroPhcuXDDr9Zno2IEvvvgCffr0gUKhKLVM586d0blzZ93jiIgIhIWFYdWqVZg/f741wrQLmzZtwoYNG7Bx40aEh4fj1KlTmDx5MhQKBUaPHm3r8Oxaec5t48aN0bhxY93jiIgIXL58GR9++CHWrVtnrdArvXXr1mHcuHGoW7cuZDIZ2rRpg+HDh+P48eO2Ds3umXtuec3aHyY6lVx6ejp27tyJzZs3m7Wfs7MzWrdujbS0tAqKzD7NmDEDs2bNwrBhwwAAzZs3R3p6OuLj40v9Mfb390dmZqbBtszMTHh5efEv4yeU59wa06FDh6c2G1Q1ISEh2LNnD/Ly8qBUKlGnTh28/PLLCA4ONlqe12zZmXtujeE1a5q/vz8AzTVYp04d3fbMzEy0atXK6D61atWCTCYzeh1rj1dW7KNTya1evRq1a9dGv379zNpPpVLhzJkzBhcVAfn5+ZBKDS97mUwGtVpd6j6dO3dGQkKCwbYdO3YY1KBR+c6tMadOneJ1WwoPDw/UqVMH2dnZ2LZtGwYOHGi0HK9Z85X13BrDa9a0oKAg+Pv7G1yTSqUShw8fLvWalMvlaNu2rcE+arUaCQkJ5l/HZnVdJqtSqVSiQYMG4u233y7x3MiRI8WsWbN0j+fNmye2bdsmLl++LI4fPy6GDRsmXF1dRUpKijVDrvRGjx4t6tatqxsCvXnzZlGrVi0xc+ZMXZlZs2aJkSNH6h5rh+rOmDFDnD9/Xnz88cccqmtEec7thx9+KH744QeRmpoqzpw5IyZNmiSkUqnYuXOnLd5CpfX777+L3377TVy5ckVs375dtGzZUnTs2FEUFhYKIXjNPgtzzy2vWeNyc3PFyZMnxcmTJwUAsXTpUnHy5EmRnp4uhNAML69evbr48ccfRXJyshg4cGCJ4eVRUVFixYoVusdff/21cHFxEWvWrBHnzp0Tr7/+uqhevbrZU6cw0anEtm3bppuv4c+6d+8uRo8erXs8efJk0aBBAyGXy4Wfn5/o27evOHHihBWjtQ9KpVJMmjRJNGjQQLi6uorg4GDxz3/+UxQUFOjKjB49WnTv3t1gv127dolWrVoJuVwugoODxerVq60buB0oz7ldtGiRCAkJEa6ursLHx0f06NFDJCYm2iD6yu2bb74RwcHBQi6XC39/fzFx4kTx4MED3fO8ZsvP3HPLa9Y47bD7P//T/k6p1WoRFxcn/Pz8hIuLi+jVq1eJ37aAgAAxd+5cg20rVqzQ/bZ16NBBHDp0yOzYJEI8ZUpYIiIiIjvFPjpERETksJjoEBERkcNiokNEREQOi4kOEREROSwmOkREROSwmOgQERGRw2KiQ0RERA6LiQ4RERE5LCY6RGSX1qxZg+rVq1vltS5evAh/f3/k5uaW+bVnzZqFt956ywrREZEpTHSIqFRjxoyBRCKBRCKBs7Mz/Pz80Lt3b3z55ZdmL9b5LAIDA/HRRx8ZbHv55Zdx6dIlq7z+7Nmz8dZbb8HT07PM+0yfPh1r167FlStXKjAyInoaJjpEZNLzzz+P27dv49q1a/jtt9/Qs2dPTJo0CS+88AKKi4vLfVwhxDPt7+bmhtq1a5d7/7K6fv06fv75Z4wZM8as/WrVqoWYmBisXLmyYgIjojJhokNEJrm4uMDf3x9169ZFmzZt8I9//AM//vgjfvvtN6xZswYAcO3aNUgkEpw6dUq334MHDyCRSLB7924AwO7duyGRSPDbb7+hbdu2cHFxQVJSEi5fvoyBAwfCz88P1apVQ/v27bFz507dcXr06IH09HRMmTJFV7sEGG8+WrlyJUJCQiCXy9G4cWOsW7fO4HmJRILPP/8cL730Etzd3dGwYUP89NNPJt//pk2b0LJlS9StW7fEc9u2bUNYWBiqVaumSwif1L9/f3z99dcmj09EFYuJDhGZLSoqCi1btsTmzZvN3nfWrFl4//33cf78ebRo0QIPHz5E3759kZCQgJMnT+L5559H//79cf36dQDA5s2bUa9ePbz77ru4fft2iWRCa8uWLZg0aRKmTZuGs2fPYsKECRg7dix27dplUG7evHkYOnQokpOT0bdvX4wYMQJZWVmlxrtv3z60a9euxPb8/HwsWbIE69atw969e3H9+nVMnz7doEyHDh1w8+ZNXLt2zcyzRESWwkSHiMqlSZMm5foBf/fdd9G7d2+EhITAx8cHLVu2xIQJE9CsWTM0bNgQ8+fPR0hIiK6mxcfHBzKZDJ6envD394e/v7/R4y5ZsgRjxozBm2++iUaNGmHq1KkYNGgQlixZYlBuzJgxGD58OEJDQ/Hee+/h4cOHOHLkSKnxpqenQ6FQlNheVFSETz75BO3atUObNm3w97//HQkJCQZltPulp6ebdY6IyHKY6BBRuQghdM1I5vhz7cjDhw8xffp0hIWFoXr16qhWrRrOnz+vq9Epq/Pnz6NLly4G27p06YLz588bbGvRooXu/z08PODl5YW7d++WetxHjx7B1dW1xHZ3d3eEhIToHtepU6fEcdzc3ABoan+IyDacbB0AEdmn8+fPIygoCAAglWr+ZhJC6J4vKioyup+Hh4fB4+nTp2PHjh1YsmQJQkND4ebmhiFDhqCwsLBC4nZ2djZ4LJFITI4gq1WrFrKzs8t0nCffPwBdk5ivr295wyWiZ8QaHSIyW2JiIs6cOYPBgwcD0P+QP9l/5smOyabs378fY8aMwUsvvYTmzZvD39+/RJOYXC6HSqUyeZywsDDs37+/xLGbNm1apjhK07p1a5w7d65c+549exbOzs4IDw9/phiIqPxYo0NEJhUUFODOnTtQqVTIzMzE77//jvj4eLzwwgsYNWoUAE0TTadOnfD+++8jKCgId+/exTvvvFOm4zds2BCbN29G//79IZFIEBcXV6KGJTAwEHv37sWwYcPg4uKCWrVqlTjOjBkzMHToULRu3RrR0dHYunUrNm/ebDCCqzxiYmIwfvx4qFQqyGQys/bdt28fIiMjdU1YRGR9rNEhIpN+//131KlTB4GBgXj++eexa9cuLF++HD/++KPBD/+XX36J4uJitG3bFpMnT8aCBQvKdPylS5eiRo0aiIiIQP/+/RETE4M2bdoYlHn33Xdx7do1hISElNoM9OKLL2LZsmVYsmQJwsPDsWrVKqxevRo9evQo93sHgD59+sDJyalcCdPXX3+N11577Zlen4iejUT8uVGZiIgMfPzxx/jpp5+wbdu2Mu/z22+/Ydq0aUhOToaTEyvPiWyF3z4ioqeYMGECHjx4gNzc3DIvA5GXl4fVq1czySGyMdboEBERkcNiHx0iIiJyWEx0iIiIyGEx0SEiIiKHxUSHiIiIHBYTHSIiInJYTHSIiIjIYTHRISIiIofFRIeIiIgcFhMdIiIiclj/B3FEBYEIIifgAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Breakdown to individual users\n",
+    "\n",
+    "for user in df_users['User First Name'].unique():\n",
+    "    df_user = df_users[df_users['User First Name'] == user]\n",
+    "    column1 = df_user['Duration (h)']\n",
+    "    column2 = df_user['Sleep Score Value']\n",
+    "\n",
+    "    # Calculate the correlation coefficient\n",
+    "    correlation_coefficient = column1.corr(column2)\n",
+    "\n",
+    "    print(f'Correlation Coefficient: {correlation_coefficient}')\n",
+    "\n",
+    "    # Create a scatter plot\n",
+    "    sns.scatterplot(x=column1, y=column2)\n",
+    "\n",
+    "    # Add a regression line and correlation coefficient\n",
+    "    sns.regplot(x=column1, y=column2, ci=None, line_kws={'color': 'red'})\n",
+    "    plt.title(f'Correlation between sleep quality and duration of {user}')\n",
+    "\n",
+    "    # Display the plot\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "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": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}