From 694c03d3e1d92c67605a4a6fefb0c7282632c5e0 Mon Sep 17 00:00:00 2001
From: 7373811ce12da6b54dfd11f41f4018f3
 <7373811ce12da6b54dfd11f41f4018f3@app-learninglab.inria.fr>
Date: Sun, 28 Nov 2021 19:13:22 +0000
Subject: [PATCH] Analyse de l'incidence de la varicelle

---
 module3/exo2/Untitled.ipynb | 1193 +++++++++++++++++++++++++++++++++++
 1 file changed, 1193 insertions(+)
 create mode 100644 module3/exo2/Untitled.ipynb

diff --git a/module3/exo2/Untitled.ipynb b/module3/exo2/Untitled.ipynb
new file mode 100644
index 0000000..6164e9a
--- /dev/null
+++ b/module3/exo2/Untitled.ipynb
@@ -0,0 +1,1193 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import isoweek"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_url = \"https://www.sentiweb.fr/datasets/incidence-PAY-7.csv\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "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>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>202146</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9296</td>\n",
+       "      <td>6108</td>\n",
+       "      <td>12484</td>\n",
+       "      <td>14</td>\n",
+       "      <td>9</td>\n",
+       "      <td>19</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>202145</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9178</td>\n",
+       "      <td>6625</td>\n",
+       "      <td>11731</td>\n",
+       "      <td>14</td>\n",
+       "      <td>10</td>\n",
+       "      <td>18</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202144</td>\n",
+       "      <td>7</td>\n",
+       "      <td>8762</td>\n",
+       "      <td>5653</td>\n",
+       "      <td>11871</td>\n",
+       "      <td>13</td>\n",
+       "      <td>8</td>\n",
+       "      <td>18</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>202143</td>\n",
+       "      <td>7</td>\n",
+       "      <td>8145</td>\n",
+       "      <td>5164</td>\n",
+       "      <td>11126</td>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>17</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202142</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9443</td>\n",
+       "      <td>6037</td>\n",
+       "      <td>12849</td>\n",
+       "      <td>14</td>\n",
+       "      <td>9</td>\n",
+       "      <td>19</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>202141</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4021</td>\n",
+       "      <td>2239</td>\n",
+       "      <td>5803</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202140</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4441</td>\n",
+       "      <td>2454</td>\n",
+       "      <td>6428</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202139</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2291</td>\n",
+       "      <td>1056</td>\n",
+       "      <td>3526</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>202138</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4325</td>\n",
+       "      <td>2267</td>\n",
+       "      <td>6383</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>202137</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1964</td>\n",
+       "      <td>754</td>\n",
+       "      <td>3174</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202136</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3441</td>\n",
+       "      <td>1730</td>\n",
+       "      <td>5152</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>8</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202135</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2562</td>\n",
+       "      <td>1107</td>\n",
+       "      <td>4017</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202134</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1429</td>\n",
+       "      <td>378</td>\n",
+       "      <td>2480</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202133</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3829</td>\n",
+       "      <td>1830</td>\n",
+       "      <td>5828</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202132</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4108</td>\n",
+       "      <td>1895</td>\n",
+       "      <td>6321</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>202131</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4793</td>\n",
+       "      <td>2301</td>\n",
+       "      <td>7285</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3</td>\n",
+       "      <td>11</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>202130</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7190</td>\n",
+       "      <td>4191</td>\n",
+       "      <td>10189</td>\n",
+       "      <td>11</td>\n",
+       "      <td>6</td>\n",
+       "      <td>16</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202129</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6800</td>\n",
+       "      <td>4109</td>\n",
+       "      <td>9491</td>\n",
+       "      <td>10</td>\n",
+       "      <td>6</td>\n",
+       "      <td>14</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>202128</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9734</td>\n",
+       "      <td>0</td>\n",
+       "      <td>21731</td>\n",
+       "      <td>15</td>\n",
+       "      <td>0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>202127</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9026</td>\n",
+       "      <td>4316</td>\n",
+       "      <td>13736</td>\n",
+       "      <td>14</td>\n",
+       "      <td>7</td>\n",
+       "      <td>21</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202126</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7284</td>\n",
+       "      <td>4108</td>\n",
+       "      <td>10460</td>\n",
+       "      <td>11</td>\n",
+       "      <td>6</td>\n",
+       "      <td>16</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202125</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9351</td>\n",
+       "      <td>6540</td>\n",
+       "      <td>12162</td>\n",
+       "      <td>14</td>\n",
+       "      <td>10</td>\n",
+       "      <td>18</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>202124</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12034</td>\n",
+       "      <td>8937</td>\n",
+       "      <td>15131</td>\n",
+       "      <td>18</td>\n",
+       "      <td>13</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>202123</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9116</td>\n",
+       "      <td>6420</td>\n",
+       "      <td>11812</td>\n",
+       "      <td>14</td>\n",
+       "      <td>10</td>\n",
+       "      <td>18</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>202122</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4817</td>\n",
+       "      <td>2752</td>\n",
+       "      <td>6882</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>202121</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6092</td>\n",
+       "      <td>3458</td>\n",
+       "      <td>8726</td>\n",
+       "      <td>9</td>\n",
+       "      <td>5</td>\n",
+       "      <td>13</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202120</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7485</td>\n",
+       "      <td>4601</td>\n",
+       "      <td>10369</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>202119</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6654</td>\n",
+       "      <td>4370</td>\n",
+       "      <td>8938</td>\n",
+       "      <td>10</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202118</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3912</td>\n",
+       "      <td>2110</td>\n",
+       "      <td>5714</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202117</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4686</td>\n",
+       "      <td>2878</td>\n",
+       "      <td>6494</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1586</th>\n",
+       "      <td>199126</td>\n",
+       "      <td>7</td>\n",
+       "      <td>17608</td>\n",
+       "      <td>11304</td>\n",
+       "      <td>23912</td>\n",
+       "      <td>31</td>\n",
+       "      <td>20</td>\n",
+       "      <td>42</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1587</th>\n",
+       "      <td>199125</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16169</td>\n",
+       "      <td>10700</td>\n",
+       "      <td>21638</td>\n",
+       "      <td>28</td>\n",
+       "      <td>18</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1588</th>\n",
+       "      <td>199124</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16171</td>\n",
+       "      <td>10071</td>\n",
+       "      <td>22271</td>\n",
+       "      <td>28</td>\n",
+       "      <td>17</td>\n",
+       "      <td>39</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1589</th>\n",
+       "      <td>199123</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11947</td>\n",
+       "      <td>7671</td>\n",
+       "      <td>16223</td>\n",
+       "      <td>21</td>\n",
+       "      <td>13</td>\n",
+       "      <td>29</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1590</th>\n",
+       "      <td>199122</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15452</td>\n",
+       "      <td>9953</td>\n",
+       "      <td>20951</td>\n",
+       "      <td>27</td>\n",
+       "      <td>17</td>\n",
+       "      <td>37</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1591</th>\n",
+       "      <td>199121</td>\n",
+       "      <td>7</td>\n",
+       "      <td>14903</td>\n",
+       "      <td>8975</td>\n",
+       "      <td>20831</td>\n",
+       "      <td>26</td>\n",
+       "      <td>16</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1592</th>\n",
+       "      <td>199120</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19053</td>\n",
+       "      <td>12742</td>\n",
+       "      <td>25364</td>\n",
+       "      <td>34</td>\n",
+       "      <td>23</td>\n",
+       "      <td>45</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1593</th>\n",
+       "      <td>199119</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16739</td>\n",
+       "      <td>11246</td>\n",
+       "      <td>22232</td>\n",
+       "      <td>29</td>\n",
+       "      <td>19</td>\n",
+       "      <td>39</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1594</th>\n",
+       "      <td>199118</td>\n",
+       "      <td>7</td>\n",
+       "      <td>21385</td>\n",
+       "      <td>13882</td>\n",
+       "      <td>28888</td>\n",
+       "      <td>38</td>\n",
+       "      <td>25</td>\n",
+       "      <td>51</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1595</th>\n",
+       "      <td>199117</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13462</td>\n",
+       "      <td>8877</td>\n",
+       "      <td>18047</td>\n",
+       "      <td>24</td>\n",
+       "      <td>16</td>\n",
+       "      <td>32</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1596</th>\n",
+       "      <td>199116</td>\n",
+       "      <td>7</td>\n",
+       "      <td>14857</td>\n",
+       "      <td>10068</td>\n",
+       "      <td>19646</td>\n",
+       "      <td>26</td>\n",
+       "      <td>18</td>\n",
+       "      <td>34</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1597</th>\n",
+       "      <td>199115</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13975</td>\n",
+       "      <td>9781</td>\n",
+       "      <td>18169</td>\n",
+       "      <td>25</td>\n",
+       "      <td>18</td>\n",
+       "      <td>32</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1598</th>\n",
+       "      <td>199114</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12265</td>\n",
+       "      <td>7684</td>\n",
+       "      <td>16846</td>\n",
+       "      <td>22</td>\n",
+       "      <td>14</td>\n",
+       "      <td>30</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1599</th>\n",
+       "      <td>199113</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9567</td>\n",
+       "      <td>6041</td>\n",
+       "      <td>13093</td>\n",
+       "      <td>17</td>\n",
+       "      <td>11</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1600</th>\n",
+       "      <td>199112</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10864</td>\n",
+       "      <td>7331</td>\n",
+       "      <td>14397</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "      <td>25</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1601</th>\n",
+       "      <td>199111</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15574</td>\n",
+       "      <td>11184</td>\n",
+       "      <td>19964</td>\n",
+       "      <td>27</td>\n",
+       "      <td>19</td>\n",
+       "      <td>35</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1602</th>\n",
+       "      <td>199110</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16643</td>\n",
+       "      <td>11372</td>\n",
+       "      <td>21914</td>\n",
+       "      <td>29</td>\n",
+       "      <td>20</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1603</th>\n",
+       "      <td>199109</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13741</td>\n",
+       "      <td>8780</td>\n",
+       "      <td>18702</td>\n",
+       "      <td>24</td>\n",
+       "      <td>15</td>\n",
+       "      <td>33</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1604</th>\n",
+       "      <td>199108</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13289</td>\n",
+       "      <td>8813</td>\n",
+       "      <td>17765</td>\n",
+       "      <td>23</td>\n",
+       "      <td>15</td>\n",
+       "      <td>31</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1605</th>\n",
+       "      <td>199107</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12337</td>\n",
+       "      <td>8077</td>\n",
+       "      <td>16597</td>\n",
+       "      <td>22</td>\n",
+       "      <td>15</td>\n",
+       "      <td>29</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1606</th>\n",
+       "      <td>199106</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10877</td>\n",
+       "      <td>7013</td>\n",
+       "      <td>14741</td>\n",
+       "      <td>19</td>\n",
+       "      <td>12</td>\n",
+       "      <td>26</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1607</th>\n",
+       "      <td>199105</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10442</td>\n",
+       "      <td>6544</td>\n",
+       "      <td>14340</td>\n",
+       "      <td>18</td>\n",
+       "      <td>11</td>\n",
+       "      <td>25</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1608</th>\n",
+       "      <td>199104</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7913</td>\n",
+       "      <td>4563</td>\n",
+       "      <td>11263</td>\n",
+       "      <td>14</td>\n",
+       "      <td>8</td>\n",
+       "      <td>20</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1609</th>\n",
+       "      <td>199103</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15387</td>\n",
+       "      <td>10484</td>\n",
+       "      <td>20290</td>\n",
+       "      <td>27</td>\n",
+       "      <td>18</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1610</th>\n",
+       "      <td>199102</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16277</td>\n",
+       "      <td>11046</td>\n",
+       "      <td>21508</td>\n",
+       "      <td>29</td>\n",
+       "      <td>20</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1611</th>\n",
+       "      <td>199101</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15565</td>\n",
+       "      <td>10271</td>\n",
+       "      <td>20859</td>\n",
+       "      <td>27</td>\n",
+       "      <td>18</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1612</th>\n",
+       "      <td>199052</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19375</td>\n",
+       "      <td>13295</td>\n",
+       "      <td>25455</td>\n",
+       "      <td>34</td>\n",
+       "      <td>23</td>\n",
+       "      <td>45</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1613</th>\n",
+       "      <td>199051</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19080</td>\n",
+       "      <td>13807</td>\n",
+       "      <td>24353</td>\n",
+       "      <td>34</td>\n",
+       "      <td>25</td>\n",
+       "      <td>43</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1614</th>\n",
+       "      <td>199050</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11079</td>\n",
+       "      <td>6660</td>\n",
+       "      <td>15498</td>\n",
+       "      <td>20</td>\n",
+       "      <td>12</td>\n",
+       "      <td>28</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1615</th>\n",
+       "      <td>199049</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1143</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2610</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1616 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator    inc  inc_low  inc_up  inc100  inc100_low  \\\n",
+       "0     202146          7   9296     6108   12484      14           9   \n",
+       "1     202145          7   9178     6625   11731      14          10   \n",
+       "2     202144          7   8762     5653   11871      13           8   \n",
+       "3     202143          7   8145     5164   11126      12           7   \n",
+       "4     202142          7   9443     6037   12849      14           9   \n",
+       "5     202141          7   4021     2239    5803       6           3   \n",
+       "6     202140          7   4441     2454    6428       7           4   \n",
+       "7     202139          7   2291     1056    3526       3           1   \n",
+       "8     202138          7   4325     2267    6383       7           4   \n",
+       "9     202137          7   1964      754    3174       3           1   \n",
+       "10    202136          7   3441     1730    5152       5           2   \n",
+       "11    202135          7   2562     1107    4017       4           2   \n",
+       "12    202134          7   1429      378    2480       2           0   \n",
+       "13    202133          7   3829     1830    5828       6           3   \n",
+       "14    202132          7   4108     1895    6321       6           3   \n",
+       "15    202131          7   4793     2301    7285       7           3   \n",
+       "16    202130          7   7190     4191   10189      11           6   \n",
+       "17    202129          7   6800     4109    9491      10           6   \n",
+       "18    202128          7   9734        0   21731      15           0   \n",
+       "19    202127          7   9026     4316   13736      14           7   \n",
+       "20    202126          7   7284     4108   10460      11           6   \n",
+       "21    202125          7   9351     6540   12162      14          10   \n",
+       "22    202124          7  12034     8937   15131      18          13   \n",
+       "23    202123          7   9116     6420   11812      14          10   \n",
+       "24    202122          7   4817     2752    6882       7           4   \n",
+       "25    202121          7   6092     3458    8726       9           5   \n",
+       "26    202120          7   7485     4601   10369      11           7   \n",
+       "27    202119          7   6654     4370    8938      10           7   \n",
+       "28    202118          7   3912     2110    5714       6           3   \n",
+       "29    202117          7   4686     2878    6494       7           4   \n",
+       "...      ...        ...    ...      ...     ...     ...         ...   \n",
+       "1586  199126          7  17608    11304   23912      31          20   \n",
+       "1587  199125          7  16169    10700   21638      28          18   \n",
+       "1588  199124          7  16171    10071   22271      28          17   \n",
+       "1589  199123          7  11947     7671   16223      21          13   \n",
+       "1590  199122          7  15452     9953   20951      27          17   \n",
+       "1591  199121          7  14903     8975   20831      26          16   \n",
+       "1592  199120          7  19053    12742   25364      34          23   \n",
+       "1593  199119          7  16739    11246   22232      29          19   \n",
+       "1594  199118          7  21385    13882   28888      38          25   \n",
+       "1595  199117          7  13462     8877   18047      24          16   \n",
+       "1596  199116          7  14857    10068   19646      26          18   \n",
+       "1597  199115          7  13975     9781   18169      25          18   \n",
+       "1598  199114          7  12265     7684   16846      22          14   \n",
+       "1599  199113          7   9567     6041   13093      17          11   \n",
+       "1600  199112          7  10864     7331   14397      19          13   \n",
+       "1601  199111          7  15574    11184   19964      27          19   \n",
+       "1602  199110          7  16643    11372   21914      29          20   \n",
+       "1603  199109          7  13741     8780   18702      24          15   \n",
+       "1604  199108          7  13289     8813   17765      23          15   \n",
+       "1605  199107          7  12337     8077   16597      22          15   \n",
+       "1606  199106          7  10877     7013   14741      19          12   \n",
+       "1607  199105          7  10442     6544   14340      18          11   \n",
+       "1608  199104          7   7913     4563   11263      14           8   \n",
+       "1609  199103          7  15387    10484   20290      27          18   \n",
+       "1610  199102          7  16277    11046   21508      29          20   \n",
+       "1611  199101          7  15565    10271   20859      27          18   \n",
+       "1612  199052          7  19375    13295   25455      34          23   \n",
+       "1613  199051          7  19080    13807   24353      34          25   \n",
+       "1614  199050          7  11079     6660   15498      20          12   \n",
+       "1615  199049          7   1143        0    2610       2           0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0            19        FR   France  \n",
+       "1            18        FR   France  \n",
+       "2            18        FR   France  \n",
+       "3            17        FR   France  \n",
+       "4            19        FR   France  \n",
+       "5             9        FR   France  \n",
+       "6            10        FR   France  \n",
+       "7             5        FR   France  \n",
+       "8            10        FR   France  \n",
+       "9             5        FR   France  \n",
+       "10            8        FR   France  \n",
+       "11            6        FR   France  \n",
+       "12            4        FR   France  \n",
+       "13            9        FR   France  \n",
+       "14            9        FR   France  \n",
+       "15           11        FR   France  \n",
+       "16           16        FR   France  \n",
+       "17           14        FR   France  \n",
+       "18           33        FR   France  \n",
+       "19           21        FR   France  \n",
+       "20           16        FR   France  \n",
+       "21           18        FR   France  \n",
+       "22           23        FR   France  \n",
+       "23           18        FR   France  \n",
+       "24           10        FR   France  \n",
+       "25           13        FR   France  \n",
+       "26           15        FR   France  \n",
+       "27           13        FR   France  \n",
+       "28            9        FR   France  \n",
+       "29           10        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1586         42        FR   France  \n",
+       "1587         38        FR   France  \n",
+       "1588         39        FR   France  \n",
+       "1589         29        FR   France  \n",
+       "1590         37        FR   France  \n",
+       "1591         36        FR   France  \n",
+       "1592         45        FR   France  \n",
+       "1593         39        FR   France  \n",
+       "1594         51        FR   France  \n",
+       "1595         32        FR   France  \n",
+       "1596         34        FR   France  \n",
+       "1597         32        FR   France  \n",
+       "1598         30        FR   France  \n",
+       "1599         23        FR   France  \n",
+       "1600         25        FR   France  \n",
+       "1601         35        FR   France  \n",
+       "1602         38        FR   France  \n",
+       "1603         33        FR   France  \n",
+       "1604         31        FR   France  \n",
+       "1605         29        FR   France  \n",
+       "1606         26        FR   France  \n",
+       "1607         25        FR   France  \n",
+       "1608         20        FR   France  \n",
+       "1609         36        FR   France  \n",
+       "1610         38        FR   France  \n",
+       "1611         36        FR   France  \n",
+       "1612         45        FR   France  \n",
+       "1613         43        FR   France  \n",
+       "1614         28        FR   France  \n",
+       "1615          5        FR   France  \n",
+       "\n",
+       "[1616 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data = pd.read_csv(data_url, encoding = 'iso-8859-1', skiprows=1)\n",
+    "raw_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "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>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [week, indicator, inc, inc_low, inc_up, inc100, inc100_low, inc100_up, geo_insee, geo_name]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data[raw_data.isnull().any(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    " data = raw_data.dropna().copy()\n",
+    "data\n",
+    "\n",
+    "def convert_week(year_and_week_int):\n",
+    "    year_and_week_str = str(year_and_week_int)\n",
+    "    year = int(year_and_week_str[:4])\n",
+    "    week = int(year_and_week_str[4:])\n",
+    "    w = isoweek.Week(year, week)\n",
+    "    return pd.Period(w.day(0), 'W')\n",
+    "\n",
+    "data['period'] = [convert_week(yw) for yw in data['week']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sorted_data = data.set_index('period').sort_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    " periods = sorted_data.index\n",
+    "for p1, p2 in zip(periods[:-1], periods[1:]):\n",
+    "    delta = p2.to_timestamp() - p1.end_time\n",
+    "    if delta > pd.Timedelta('1s'):\n",
+    "        print(p1, p2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f37b2c04400>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sorted_data['inc'].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f37b06ff978>"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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MaE11SM+yUMwurjkYXHPIz2n/hF3Ke89oY6JKMjkTMV2BrhKXr0OMVhroSgCwv0vDouiM69DV/Gocdp5Dzsz7arhZydtKotkFFVsd2XtDwikrHCilBymlz7Pb0wBeATAA4HIA97Cn3QPgCnb7cgD3U0ozlNKdAAYBnE0IWQqgg1K6gdpn4Hc9x/DX+iGAC7lW0Sje/ZWn8fLBKed+xrCjlQixq402U3PgdYq8moOfQ3pkJtuQOaQNEzFdRURTXGYhrtXEdBVrFrWBEODhrXYPh9X9bdDU/CkVDzlDWiz5wc1K3u9sRmoOJWl28qekdajK58DMPacD2AhgMaX0IGALEACL2NMGAIgpqvvY2AC77R13HUMpNQBMAuitZm7VIO6O2pldnGeFRlQFmqo4CXJhQynFV554HVFNwfFL2wHkS2j4aTMjDSrCl85ZTHNQXP6XQ1NpEAL0t0cRj6g4qieBX++wezgct7gduiAcIqqteYRlVhLzG7hZyfs7NrtPR6sjGzNJOBULB0JIG4AfAfgwpXSq1FN9xmiJ8VLHeOdwAyFkMyFk8/DwcLkpF0VcrMSImoxhIaop0BTSNM0hnbPw2zdG8YG3rcKqXrvfhJ9DmtM44WA7pL2aw+GpNHqTUUcIrF1kC7CYrmB5dxwRwaykKgRRTQ1Pc8jm32eOmZW8i500K5Wm2fk9ktahIuFACNFhC4Z7KaU/ZsNDzFQE9v8wG98HYIVw+HIAB9j4cp9x1zGEEA1AJ4AxeKCU3kUpXU8pXd/f31/J1H2ZE6qatsXydvGMYSKqq9BU0rTCe/zi7E5EEGXRQLz2k18E1WijzEo5ZlZSFZcj/NBUGks6o879c1f3AAASEQ2KQlyag6YSRDQlNJ+D2KCIl9AwPN+ZdEiXJhdi8ICktdHKPYHZ/u8G8Aql9EvCQw8BuA7A59n/B4Xx+wghXwKwDLbjeROl1CSETBNCzoVtlroWwFc8r7UBwJUAnqAN9IzNCuaHNsesZGEslUV3QoemKE0LZeXagaYQRFR3tI93F9zXFmmoWaknqdiag2nnWhBCcGgyjeXdced515+/ClFdxUCX3bnOJRwUBVFNcZVCbySi0Oe/sdeGLoVDacRzjP/mkiOTssIBwFsB/AWArYSQLWzs47CFwgOEkOsB7AFwFQBQSrcTQh4A8DLsSKebKKX8qr0RwHcAxAH8gv0BtvD5HiFkELbGcHWdn6sks0J5BafnQM7EWCqLnmQEpkWbZlbiQklTlbzmYJjOYwrJ5xqs7E1i8+5x5EzLtSgHQZppUbqqgFJ7kdVUgqGpNM482olaBiEEf3Hu0c59XXNrDlFNCa2HtOiQ5r9xziMcxH7YkkJynrL1YvSZIZybkoVPWeFAKX0a/j4BALiwyDG3AbjNZ3wzgHU+42kw4RIGYrMcsSHNWCqL45d0YCyVbZpDml+cOltYATva58Et+3H30zvRGdcxnc7BosDRTDiMp7JY1BELdB6ZnOX4HADb72FYFOOzOSwp8V6iz0FTmFkpLM1BFA5Zt1npoxcdi+/9brfUHMogCoes4d50nPf5J5A1LLz4Txc3Y2qSkDkitwCicEh6zEo9yUhTfQ5cY9FVxVmYM4aFW+7f4oxzgcbNOxNzwe+GM4ad5xBhi0POoI4Ja1FHtOhx4mIS01XbId0MzcHjkH7HCYvQFtOkcCiDq1Kxx/8wPJ3BZAPONUlrcoQKh/wCEWWJXrM5AxNzOXQnI9DV5uU5cI1FUxVEtcKqphGVOMKhv91epOca0DbUDmVVHTNRxjSd/Iv2mF70ON2T5xCqQ9rV5tUdyqqrCuJCc6JmMDJjt1BtZVyaQxGhPjGbxSPbDoU1JUmTOEKFg7jY2ovw0GQalAK9yUhTayvxnZuuuM1KHE1VHG3HEQ4NWPDSLEM6yjUHkzoRQLwshh+ijToR4eU3wjUr6SoRzEp5B39MV10RTWGz/rOP4bRPP9q0968Er1nJjz+/eyP++j+fw+Ss1CIWMkekcBB32hpbhA+wUho9yQj0FjAr2ZpD3qzE0VTihN/2tTVGczCYfyGqqdA1e7HPGpbTJ4FrLn6ImkNC15jmEK5ZqScZEcxKec0hpisu7UJSiGhWKva7bdtvpzlNS+f+guaIFA4pwazEd+K7WY2i3mQEmqIUxMeHRdaJCCF5n4NnQWuLakhGVCRZG86gNQfe+tP2OdjvkTMtZ8FNRCoTDnGmOYThkLYsil9uP4T2qIZF7THBrMSFrZ2Q1yolu1MZI5SOftVSTHPwiyyX7VgXNkekcBDNSoQAK3riGJqyna09bbZDulllBLhQ0pW8zyHruWCTEQ3JqCZURQ1YOOTy9ZO4mcjWHHgp7lJmJUFziITnkN5+YAq/e3MMH734WHTEtQLhYPefaB3N4aR/+iUu/LdfN3saBRTzOfhpETIseGFzRAoH0QxjWRQrWZkKhQBH9SSgK0rTCpDxxUxXCXSVgBD3fHOmhQtPWITLT1vmFLYLXHPgwkEIZb3l/hecSJVkCbNSRMv7HOKscF8mBCcw/w7WLm5HIqIVhLLqioKY1lyHNGc8ZTulD02lyzwzfIpFK/ltQGak5rCgqSQJbsEhmpUMi2JVny0cetuiSEQ0Fsra3DwHTVVACMFRPQm8emjaeTxrWLhqvV2dhNcJSgeuOdhziAqhrG8Mp/AKq2KbrNCspCjhJcGZQinxRER1TGB5Hw5BtEU0hydfO1z+SU2imFnJzwQmK9wubI44zSGdM/E/24ec+4Zp4WimOfAKrXYl0mbnOdg78Lcc04uNO0edx8ULNgyzUkTIeN43PgeFlTQvhjdTO6wkOFPwLdjCwV3JVmdRac3yOYia6I6hGQD5fh2thNusJFa5LRQEregzkQTHESccvvLE606jHMDWHFb02Mlkpx3VBcC2TzfLIe3kOSj2T3Pu6l5X4pYotDRVcXVeCwr+fklWTI+zZ2wWyYhWst6OVzjYC3Ljv0v+vakKsc1KGQOWRR1hykNZw8rW9iIKpbGU7d+abUGzTDGzEo9QEpmWwmFBc8QJh7/+vWNc9y1KcfySDtz5Z2fgs1fYlT00lRTU5AmLnEdzOHZxu+txr4nGdrIGu8hsPzBpv/eSNsesBNjd5xIlnNEAXM8H4Crc10gczUFhmkPOxDXf/B3+/8deB8DLh9tzaYY/STRn8QZNWdNqmegpTs7HCf3oy0P4O6EPN0dqDgubI044tMd0PP/Ji/DRi44FkF+M33nyUidEs5kOadHnAAAd8dKmB9v5GuxF+tK+SSzrjGFRewzrBjrxoxvPcx4r5W8AbMEq4per0QjcPgcNlAIbd9pV323Hvq05AOF1phMRtTuxkm4r2e1Ni+I1j38LAN4cnvF9/owUDguaI044AHaS1LIu25TkJwQ0lcC0aFP66Xp9Dh2x0otxPKJiLmBTyYv7JnDK8i7n/plH96AnabcsLRWpBPiZlfKF+xqJ1+cgwk103FfSjIgl8T1HpgXh0MQFdi5r4m/ufQ4HmJn1G0+9ge/8dpfzOP/NVMXfjCiFw8LmiBQOQH6H65cJrQslI8JGdKACpbORAdtpHGSGNKUUe8ZmsWZRm2u8r80WDqVKZwCFZqVokUS+oDE8ZiURjS1uPG+kGSU0XMJBaNDUzEKA//PyITy89RD+5eFXAADbPX4F7hMZSxXWg4rpSktpPZLgOWKFw9uPX4RTl3filgvXFjzGF5NmhLOKtYAAlG22koiomMsFd5FaFKAUriglIF+qo6zmoHnNSoXFAxuB16wkwp3qMT0cQeWH6HPImhb4z9ro3TelFF96dAcGDxeahrhGxc+5TiF6SiF585efcOhJRKTPYYFzxAqHjpiOB28+v2CHDOTV6KZoDlU2VIkHrDnkq8K6F/mVLBfkgBDp5YdfKCvQeDt/3iGtFDjN+WPc59AMzcGbCNjPhO2GN0Zx649fgtUgH9d0xsAdj7+O93z16YLHvNpzp+DfWtoZx/B0Bgcn51x5NpyuRERGKy1wjljhUAq+wDUjnFXMkPbj7y85znU/pgfrc/BqLpyPMAf+H5ywuOTx3uPCdkirKkFCdwsHLnD5XPaMzjZ0Ln54BRLvifHlx1/H9zftxRRLaPz1jmF8d8OuwN6X/55+uTD8tzJ5GLCgpfa3RzE8k8F5n3sCW/ZO4Pw1ffjcH5/sPN6TlJrDQueIzJAuB99RNSNiKWe48xxEHrzprTh1RZdrLBFRMRdgtFK+FlGhWWnHZ99ZVGhxuBns5IFOAOFpDqLPwWv6Mjyaww3few5f/7Mz8K6TlzZ0TiLezGyuOXC48Lzu25sAANeetzKQ9xVDU709obl2yr8fMaKqvz2KvWN5IZqMqi7B3xbVMNSC5T8kwSGFgw86WxibkeuQK6E5xPRCZ3BcV+vOkJ6YzUJVCEZnsnj0ZTt73KsBAIV+iGL88sMXYGmX3Uo073NotOZgv75CCNo9EV55s1J+/p/92cshCweP5tAeK/l4UIjCYd/4HFb0JJz7/Bfm2oVXODy/e9y5v3t01mUyjGhK03qeSMJBCgcfHFtsM8xKpgVNIe4dnmL3l/ArWxHT669ddNqnH0VHTMM15xyFb/z6Tfs9y2gIpThuST5xL6qH7XMgTtitFy6oAHfEUBh4s9i7knrJx4NC9Jv9fOtBVxIo/874f1FA9bdFMcY2DaZFceEJi1znRDNLzEjCQfocfNCaGMpqWLRoIpmf5qCrimOKqoeptOHq7OWnOdQCD21tdLSSIfgcioX/isI1jKxtEW5WckKCdQ0/uOFcnMbMhLtHZ7HyYz8P/H3F3f19G/e4HuPfGQ+fTudMRDQF933gHPS3R0GpLTjet34FPnLRcS5TZ0RrXrdESThI4eBDM0NZc6blmLU43Wwn7Ldg6wFWPeVOUaDQ51ArXHMIyyHt1bpcc9HcwjWMarGAXT33jsftMh69SdvXkIioOGd1L/7hUjvA4OnXRxry3lxjO2FpB/aMzbqiorhmzL+7uayJ45e04y1r+pzQZQBY3BmDqhBXOXZNkWalhY40K/ngJMEZzcmQ9moO333/2XjoxQO+5hKu3nudjZUimhJ4vwYgOM2Bl9todDy/IeQ5FMMbZps1rAKB0Qj+e8sB57vtZuakGEvUizWosi6Hfy+84nDWtBBTVNdjOcHnEGPfR0c8vzTwpEJRc5BmpYVP2e0hIeTbhJDDhJBtwtinCCH7CSFb2N+7hMduJYQMEkJeI4RcIoyfSQjZyh67g7CVjBASJYT8gI1vJISsDPYjVg93aE6ng+109dzucRyeLh3hYVhWQY7D6v42fPgPjvVd/LnJqdYLdXw2b3sXhUOxkgnVwhOrGt2M3rLcIbh+/pm+tgjOX9OHd528BEBj/SCbd43hj77+DGazBiKqO8oHgBNuyxdjr0M6qEg5vrvn57SYAMg1Y9MxK1mO0OqI5X0ivDS8y+cgzUoLnkpsB98BcKnP+O2U0tPY38MAQAg5EcDVAE5ix3ydEMK3ZncCuAHAWvbHX/N6AOOU0jUAbgfwhRo/S2DwOvsTc8EuaH9y52/xnq88U/I5WYNCr2Jhdtp41nihitmvU3P53X25kNVKaY9q0BTiEkKNQGwHCuQXNBFNVfCfHzgHF6ztB2B/Z5t2juHWH28N3P/wwe9uxgt7JrBzJOVoBX91wWone5vLeS7EvMUTP/yDLUUL3lUD90fx8F4x34JHKRmCQzquF5Zt4R0HXdFKqjQrLXTKCgdK6VMAxip8vcsB3E8pzVBKdwIYBHA2IWQpgA5K6QZqX4XfBXCFcMw97PYPAVxIarGPBEhX3DbfTAYoHPjiU641pGFZ0CsMGQVEE1htF+qEsKN3aw7B+BwIIehK6BhvsOZgWhSq4G/wEw4cMffivd/YgO9v2uNbY6tWKKXO503nTEc4fOTiY53+23yMm5W80Uo/ffEAbr7vhbrnwkOj23w0B66diKGsfD5iOHDerOT2OVi0OblAknCoZwW4mRDyEjM7dbOxAQB7hefsY2MD7LZ33HUMpdQAMAmgt4551Y2jOQS4oFW6szdMWpW9P+KYlQLQHNLB+xwAu9TCRAiag5jh6xfZxYn4ZG0HucjtEjKwp9IGUhkDmkIQURUs70645sCFmF8JlOlM/ecf3zRwn4OH6Ve+AAAgAElEQVQYNZZzhIPlzCHuCIdCs5KoOfAaWlJ7WLjUKhzuBHAMgNMAHATwb2zcb0WhJcZLHVMAIeQGQshmQsjm4eHh6mZcBbw95sRccAtapb2Lc6ZV4Dgtha7WFw0kLtqiZSUonwMAdMX1QAWtHxalrjn/LSv34QcPrxX7KgQpHJ7dlVe0p9MGZrMmEhEVhBDccMFqfPaKdfiTM5YDKK458GPrhS/ebY5wEAQie0w0K/H5iAmPxcxK4utLFh41CQdK6RCl1KSUWgC+CeBs9tA+ACuEpy4HcICNL/cZdx1DCNEAdKKIGYtSeheldD2ldH1/f38tU6+YrrgeqBPVW3gNgK+d2y/PoRT1XqRjKf/PWE8SnJeuRKRhPof7Nu7BOf/yWIHG9YenLsOuz1/mewxf+Lbum3TGgjQrbXYJhxxSGcOx+euqgj8/92hHkPGAAr9opSCEA9dYuVlJdHwbBUlwlq/Gxf0k4jmhNbE4pSQcahIOzIfA+SMAPJLpIQBXswikVbAdz5sopQcBTBNCzmX+hGsBPCgccx27fSWAJ2gzuux46EromJzLYXg6E0imtHdnODKTwapbH8YPn9vnGs+Zlm9dpWJE6oxWKqYdVTOHcnQnGqc5fPwnWzE0lcFczoBaoUDj39moYFILUnN4Yc8Ezl3dA8CtOfihKAQRTfE1KwUxJ+5P8NMcuHAwLArDtJA1LV9fjWNWEkNZteYVp5SEQyWhrN8HsAHAcYSQfYSQ6wH8KwtLfQnA2wH8LQBQSrcDeADAywAeAXATpZSf9TcC+BZsJ/UbAH7Bxu8G0EsIGQTwEQAfC+rD1UNnXMfoTBZn3fYYPvJAYf/cavGalbhJ46tPvO4at81K1UQr1ac5FDN3BWlW6k42TnPgTM0ZLp8DZ0VPHH/5lpWuMb5bF01qQSY8js9msaqvDapCbM0ha5TsgxHTlIblgeRDWW0fguhzMAWfQ5oJjXikcElwHNKe8hlAeImEkvApmwRHKb3GZ/juEs+/DcBtPuObAazzGU8DuKrcPMKmMx7BjiG7jv1DLx7AHdecXtfreePYebLW7jF3+WjDpBUXuAPyIae1+hyKlbUI1iGtI2NYtsOzTCe5auF1p6bSOV+B9pt/eEfBWES15yBqM0FqDjmTQmdlPKbTBmYzxTUHwLbpTxUxIdWa3Jifi9vnIG4GuFaRs6hzfvoWd/QVDtKstNCR5TOK0JXQAy1JzC++vK3Wvki9BrScRStu9APU73MolggWpM+hj5WMKBfGWwtcIEyljYoFGhe+Yh5LkMLBtCg0RUF7zBYOqazhZIr7USqyql6Ngi/eTiirmOfAtKWsYeHOX71RdC7crCS2gG1mzxNJOEjhUITOuO7ajT/52uG6Xo+r7bxlpSHsuMR6N+OpLLri7oqdpag3lLWYxhGkz+GkgQ4AwIt7JwJ7TQ5fpKbmclX7HCYbpjnYpsH2mI7ptIG5rIlESbNSceFQb/XY0hnS+c9899M7AQDdicISLfkM6ULhIM1KCxcpHIqQ9JgB/td/PFtX2B53OPoV9RtiJTUsi+Lg5BwGuuMVv65zkdZsVmq8z+G4xe1IRlQ8v2e8/JOrxNEc5nK+Pgc/8pqD6HMIVnNQFcI0B+ZzKGFW8iv1wZmqMxGzZCirz2cW63f1t9saH9/QiJpZpImViyXhIAvvFSHmczHPZk10xmuTp1yd9+tPzdstDs9kkDMplnVVLxxqNys13uegqQpOXdGFF/YErznweU6nDSd5sRx8YWuEz4FSysKRFXTENByYSDOfQ/FLLVrCrFRvln6WnWdO+Qxm3jRMyze8WhQOP//Q+dg5knLui3kOmuo2jzaKD9//AiiAL19dn8+vETy1YxiLOqI4fklHs6fSEKTmUAQxpO+Sk+y+yd76N9Xg9TmIZiXuJNw/MQcAGOiKoVKcUhA17uAyhuWyJXOC1BwAu2G9mI0dFHye2SpCgP0ypI2AdsBOD3DFNisdmJzDdMZwymb4UarUx1SdxR8NZuKKeT7zxbc/hXs27EZ3QseX3nuq83xROCzqiOGc1fliBeI5Ue+mpFL+e8sBPLjlQPknhsxzu8dx7bc34cP3b2n2VBqGFA5FEC/YHuZQrbWs8lQ6h6d22PX6VacFaf6i4hfsAUc4JFApkXrNSjnLKc8sRklVk6VdCarSmDo8ooZTqUCL+kSDWQGl1vDPqKoEV5653DlnSr18KeFQr+bAM+41VYGmEEeDfZNpBKqiuARCR6y8MeGPTh8QhMORaVa6d+NuAAg8+q6VkMKhCOKP3sNq8M9mahMON/7nc/j51oMA8ouZKVxU/ILdP24Lh2VVaA711rjJmpZTnrlPWCSC1hxURQnUru+8rlq9cPDTlIKaG/8ddEXBW9f04T/+8iwAdr5FMRIltAqxUm5t88lnjkc1BZmc5Uq40xTiauxTLmz2lU9fiv971an5UNYGN3FqVXgkY1MrhDYY6XMoghjSxyM4ajUrbdqZL6eg+jikRc2hPaa5ip6Vo95Q1oxhOppRT1sEBybtkz5InwNgaw5B7c5FxOY+lQoHRSFOfgTHDCgJztEc2FzeuqYPGz9+oWsB9lIszFVXSd1mpaxpORphVFeRNkwMHs6XAtfU4j23/fDWWWpGt8RW4PCUncTa6CZWzURqDkVwm5W4cKhNcxAXIb5Aiup4RvA5DFThjAbyZQzqMisxUwIXEgAqDgutFE1RGmJWEneutVSz5bIlKJ8D/13FLPfFHbGSgquY5tAR0+s2KxlCIccY0xxeY8mdgP2dVSMcOPlQ1iPTrMQ1h1SN1oT5gBQORRDNSt11Cgdxw5xzGqyImgMzK02kqxYOkTrjzbOmhU6WV9ErLBLePtb1ohDSEOEgOpWrMYVx4cBLWQc1N/67VpPIWExz6IzrdYWy7hpJ4ZFth5zIoqiuImNY2CVEIKkKKZmEVwxHYz0CzUrpnOlktC9kzUGalYrg0hyYWSlVg1nJu+hw849LcxDMSmet7EY11NvvOpOznBBQHtcONMLn0BiHdM3CgX1v7TEdU2kDZkAmL66BVDOXYqU12uN60bIalfCHX30a02nDMWlFNQXpnIl94/mSLdwsd/35q3Dqiq6KX5sLnEaalVqg/qYv3KS0qD2K0VS27hInrYoUDkWI+ZiV/CpnlsNbgsMwLTzw7F587hevOGMZw8JMxsDkXK6qHAfAXoRUpfZ+vhnDRFc8gn//8zNw/JIO3PXUmwAa4XNojFlJLAdRk+bATGpBOaSdUNYqzHLFivJ1xLS6zErTnt0t1xzEkGI+30+++8SqXjsMs1Kt9cIaDe8Dv7o/icPTGWQM/1Ln8x1pViqCn1mpFs3h4KRbOOQsisdfHXK1zczkTCeMtVrhANgLUS1mJcO0YFF7R3npuqVY3JGPklIaoTkEvBM0LerSwGrxOXDhYAa0yHHHdjVtVosJh864juk6hAPXSHhp8qimIGOYTj4NUPvOPwyzkrdYZauwl2leq/vbACxc05IUDkUQzUrJiApCagtl9Wah5kyrwHmcMSwnjLWaBDiOrio1OaT5zizKyjcEWWzPC9ccgjQVeCvKVrMgc0HCI8OCC2XNJ8FVSrHSGrbJq3bhwDVerrFFWWnwQ1NpLOu0z7NaHfFhmJXEHihWA7TOSvnZSwfw4+f3wTAt5EwLX3l8EMu74zhloBMAMFOF6e++jXuw4Y3RRk01UKRwKIIoHAghSEa0mhzSvE/vv//5GXjf+hWgtLDxT8aw8MawHV64sjdZ9XtENaUmsxIXDnwXGLQpSYTXPQryGs94elFUk7c3ygraHbekHUCADmm22FbjkC5WWiOuqxW3l/Wj1xM+G9VU7BxOgVLgmEX2rrfWJLYwkuDEz55rUsgspRQ33/cCPvLAi3jytWHsHZvFmyMp3Pz2NY5FoRrN4eM/2Yprvvm7Rk03UKRwKII3izYeUWvKc+Bq97KuOI7uszOfxfA3Qmzt4o3hGfQkIwUXdCXUqjlkHc1BZXNppOZg/w/S78CFGxdq1VSS/dwfn4w7rjnd6eUc1A7YiVaqRnMoEsoa1ZWi/TYqodNT3TemK0ixDQ7fhNT6ublPpdYQ6koQfXyNfJ9SiAv/oam0s7HrTkacYobSrHSE4bW5JyNqTZpDfrFQnPDQlHAytUU0ZAwLrw/NYA2zYVaLrtaqOdifx6+cRNBwk0+wwsGeP4/GqcZPcvFJS/CeU5c5i3gQCXq86B5QnYmumOYQ01TkTFrzd+ZN7ItqhUEWtZqVCOGJhA30OQiCsVllOkTn/Xgq62qKxH1F/HresndiQQkKKRwqJBHRatIceDRHRCPOgiGeQLGIinTOxOuHZxxVv1oimlKTQ9oxK4UiHOz/QTql+fx5CG4tWc5Oxnqdi8/rQ9NYdevD+M3rdg2tarSYUpoDULxbXzn4bvuWC9e6Xg+AE75cT+E8e1PSQLNSC2gOYp/xsVQWc1nWTlVXXZrDXNbEFV97Bn9z7/NFX6vRRQqDRgqHCknUqjmYguagFmoOUU3B0FQak3M5HNNfvb/Bfm1S00XKbfbREs1mgqIhmgObf19b7UmKXGDXMi9KKZ54dQiWRfHD5/YBAH7w7B7X61ZCcc3B/s5q9TtkTYoLju3H3150LHu9wpIw9TjidZU0dNF2aw7NWVjHhGZLo6msY1YShcPUXA7TGTtw4Kkdw3hwy368dmi64LW8vsZWRwqHConXLBxY9IqmOHbalPA6UU3BIZZU09tWfRkDwN7513LxZM0QzUpsrQxSOKQ9ZqVaosnyta6qn9fPXjqI939nM767YRcef9XuFDjEfstqfA7eJLj3nLoMP7rxPMcXVI/mIBYZ9NMc6vk9epIRHJoMvvUrh+/SgeblPIym7N9zSUcMY6mMY1aKRxT0t0extDOG/3l5yMkpAYBb7t+Cf/7p9oLXqiVPqplI4VAhuqrUZF/NOlU6ia+pIaqpGJ62T0CvA7FSNIXUZBbJaw5hmJVq36EXg1+ofcysNJur3uzHo6hqmRfvQf3qoWnsGZt1PVaNWclbHv2961fgzKN7nA5xNWsOhun6bcXbXT7tQKvlpIFObN0/WffrFEPMc2i2WWnt4jaMzuQ1h6imQlUI3nfWCvzm9RG8PjTjOi7lIwikcFhAXHve0bjx948BUPsC7JiVVMXX1BDVFYzM2MKho4pqrCK6Oh98DsGblXgntxXddhRYTWalOubVxnwFk3M5ZA0LSzvzOSr15IxwQcrNfbVqDjmTujK13ZWGazvXRE4Z6MT+iTmMN6CJE+A2wzTTrBTXVSxjzarymoP9XZ5+lF3uZseQ24zkl5chzUoLiE9fvg7/eOnxAGqPCBKrdPr1ERB3c7VqDrqqOEKo9Fws/NOD25ySHk4SXCg+B/t/kA7pUSZUV7IQ4ZrMSnX4HPhu9jDT/MTdeDXlMwBg1+cvw/Es54Ify88Nbz5HNfOLFNEcaj3XRE5mSWCN0h5cmkOzhEMqi55kBD1tEYzPZp0NCM+D4hWND07OuY7zWyvEzUszk/oqpaxwIIR8mxBymBCyTRjrIYQ8Sgh5nf3vFh67lRAySAh5jRByiTB+JiFkK3vsDsKC6gkhUULID9j4RkLIymA/YjDoam1OX568w7txeREX5o6ahUNlc3tmcAT3bNiNT/63/VM6oawlGtwHBS/wFuRFMZrKQiGi5lC9WUmrw+fA81V4rR3eFAqoLlubw/NMuObAd/q1lpEQezkA7nOtVE/rSlnRY3/vjfI7iJ+7WdVfx2ez6E7q6E1GkDOpYwLmvw3PsN837hYOfueT+HnSdeSvhEUlZ/B3AFzqGfsYgMcppWsBPM7ugxByIoCrAZzEjvk6IYSfkXcCuAHAWvbHX/N6AOOU0jUAbgfwhVo/TCPRKtyde3Ec0sXMSgHs5rQKtRo+F75L9mZIN5J8uYXghMPITAY9ySg6mYmkFrU97wup/rflwohX6ewWNIdass35EdzU5WgONS6MOcNy+TPEc61azcYP7tSut+dEMcSddqZJmsNczkRC15zIpJGZDCKq4pw3vMXugQm3cPDTRMXPU2v5/zApuypQSp8CMOYZvhzAPez2PQCuEMbvp5RmKKU7AQwCOJsQshRAB6V0A7WL63zXcwx/rR8CuJC0YP1bXVWcUhjVkDMtEGIvQr5mJbYDiWhKzZUdIxUKB57oxb/drKe2UiNR6nD8FmNkJou+tgja2C6Y72SrgTuka9Ic2AXOF2+xaU49Pgf++9SrOWQ8mkPMUxJGfK9aaItqUBXSMOEwPpv3Zfyv/3gWe0ZnSzy7MWQMC1FdcXwMY6msEygA5P2EByY8BTZ9rkdx81Jry+EwqVW3XEwpPQgAlNKDhJBFbHwAgFg4ZB8by7Hb3nF+zF72WgYhZBJAL4CRGufWEGzTTW0+B54Z7beb5Lu5Wp3RgL0QVbK48YWZLwxh+hzqcfwWY3Qmg762KBSF4J73n+3Y7KtBUQgIqc3cNevJhnVrDvUL3Ho0B0opsoaFaBHNAQDu/LMzcGwN3xmHEFJ3WfFSjM7YZkP+09y3aQ8+9s7jG/JexUjnLPS1qY4ZbnQm66rYHNNVRFSlQGv1C14Rk/pqiawLm6C3jH77EFpivNQxhS9OyA2EkM2EkM3Dw8M1TrE2NEWpKVopZ1qOCu/nc1jZa+9269nB6apSkU2Wq7JcRvmVz2iPaY65IEjqqa30zOAITvnULwsWodFU1skN+b1j+10lx6vB20+6UrzhiqLmUIvZxnsO1KM58M/j8jl4NMR3nrwUx9RYsoXTGa+/lSkA/Oq1w9jmcWyPpbJYIvymxZoiNZJMzg4H5u89Ppst0PC5aUnEL+xd9IktCLNSEYaYqQjs/2E2vg/ACuF5ywEcYOPLfcZdxxBCNACdKDRjAQAopXdRStdTStf39/fXOPXa0LXyPRMee3kIn/7py64xw7QcoeC3YJzBQuG4o6umuVVo8uL9KAjcRdNEc9fzn7wIz37iD2qeSzEch3QN0Upb9k5gKm0UNE4amc6gN1l9oUIvqlJbC1OvA7xbEA71dNLjX1E9mgP/bUWfQyMa0nTGdSffox7+z4Pb8Q3WaIozlspisRAeHAvB/OmFN/KJC70x4l7h4KP1+2025oSos9mMif/v+y/g678aDHjGwVHrt/0QgOvY7esAPCiMX80ikFbBdjxvYiaoaULIucyfcK3nGP5aVwJ4grZgf0BdKe+QfvTlIdy3abdrLGvSfIN3n4vzlCpaMxadW4UmLx5dwy0eGZZBKxas01WlICkrCOpxSPNIEDELNZUxkMqa6GuvP5lLU5S6opU4rh7cAXyH+TyH2oVDsVDWoOgISHOYnMthziNsx2bdmkM95ctrJZ0zEdPzmkPWp+tbOwskObo3gWvOXoGrz1rha2UQTU+prIGHXjyAf33ktQbOvj4qCWX9PoANAI4jhOwjhFwP4PMALiKEvA7gInYflNLtAB4A8DKARwDcRCnl38iNAL4F20n9BoBfsPG7AfQSQgYBfAQs8qnV0FQCi5Y2i0xnckjnLNdCbQhmpT6fctxtUQ3LOmN43/oVBY9Vip3nUIHmwGzkXPRmclYo2dFAfQ5pHgki1qR6czgFAFjdV1s9KpF6NAdRQag3WumDb1sNADiKOda5GejZnWNVZ9dyLbdYKGtQdMZ1TNUpHCilmE7nXIu/YVqYmM1hiaA5NKPiaTpnIqqpSAqhv4Wag/3YQFccn/vjU9AZ1/0d0tnC87cSDk+nsfJjP8cj2w4BsIs8hrF/LuuQppReU+ShC4s8/zYAt/mMbwawzmc8DeCqcvNoNvnmJhZUxf8ic3r2pg3HxGBY1Nk1dxUJVf3trb5fZcVoFbYJ5RcXt3dmTTOU7GigMof0I9sO4c5fDeInf/NWlzbDhQOf/wt7xvHJB+1cjTU1VrIVqVU4pDImlnTEcIDF+Yu+mlrMSlecPoArTh9w7nPB/cj2Q2h/cBu+eNWpFb+Wv1kp+N86CJ9DKmvCEppgGaaFP/zqMwDgyjqfrqMrXq3YZiXF44R2f498I7CSbVSKBYiImsMLe8YrnsNOJki+9Zs3EdMV3PC95/APlxyHD7DNRKOoPxPmCEGvwCwyxYTDtCAcsmY+1jzovsycSIU5GNxGznehoWoOFTikb7rveZgWxVzOdGrlU0qdnsczGQO/3jGM6769yTnm6Bo653lRa3RIz2YNLO7MCwdxdxlENLb4GrxTYKXwzUI0BM1hci4HSmnNn5kv+tzxvmdsFq8cnAIAV5DBVBXtOIPAMC0YFkVMU13O8LjHMf7sLnuhv/zUZQDsjRBviSt+J7NZE10JHROzOTy/ZwIAsKi9vM+MXwvjs1n8/Q9fwuq+JK48c3mZo+pHls+oEL7Al1qE+UnOy/fy5+sBhDWWQlOUsiYvIG8j52F0dgx3OBEgagUOaT5/0UQ2OZdzNJ1dIymXYACCse1rCqkpCS6VNV028Ubmi1QbieUXbNCIjUBnXIdpUd9Cc5XCNW4uHN4QTC48+QyorldzEKSFPCCx3LnX5/Cp95yEE5Z24KyVPQCKZ91nDAs9iQgUAqeeWiVBAvy6eGM4heHpDD74ttWBFE4shxQOFcIjjkqZb6YFzYGTMyl0rbE5ffz1yzmlC8xKnpLOjaQah3TGzC80+4XM09cPu3fPfyyYYOqhFs3hud3jGJ7OuBbtRmphYphsMXYMTTv5Gn5mpUYIL+5nqaf4Xl5zsOfMtaS/+f1j8La1/dj08Qtx9qqe0M1KGaHrm6IQoZ6S2zx85ZnL8Ytb3uZYBjRnI+k+p3itK1HgVRLS6r2uLzg2nEhNKRwqRK+gY5ijObiEg+VKiGrEAsI1k3LCgZuV0k5mrxlKdjRQXW0lsTyzmHm6c8TeUZ6zqgevfuZSfOl9pwUyN60Gn8MnfrIVALCoI28WaGRif7mS1YOHZ3Dx7U/h9sd2YCqdw+Vfs232jXZI82gxvhOuhSmv5nB4Bv3tUfzDpccjoilY1BFDbzLiuq7CgGsOXGvgWm85LS5vgnb/ZlnDNuO2C8KlkhwWcUN6/JJ2p/Nho5HCoUL0IrsBTtawnJ3PjMus5C6bHEQ1zMK5lRZcu0ZS+OIvX3UurtlcvuxDWD4HLiAr2aGLC+H+8Vl2PHGEw+3vOy3QmP1afQ6L2qO47ryVgc2jFLNlFhEeyfXoy0M4LOSDiMJBVQiuP38VfnTjeYHNq7/NXijrydPh0U58oRwcnimIQmuLaqFHK/H55Nu12uflks7Si3Ox1rNcc2iP5TWHuZxZNvJIfJ2TlnVWOPv6kcKhQrhZpJhZSVR5vZqDqNp/4G2rnNsreuIBza205nDjvc/ja0++gVdZ60KXWamFHNIc8Ts+MJlGVFOwrCvuHOsXElwPqkKqLp+RMSycs7rXcRY2ip996Hx0xLSCUh3FGJnJOH0ugEKfzCfffSLOPLonsPnxXexwHZqD43MwLKRzJrbvn8Kpnvyf9pgeuuZQrI3uko7S161zPXo1B7NQOJgWLRtpKF7XJy3rKD/xgJDRShXiaA5FHJfiiesSDhZFQrhAP/i21Xj/W1dhaDrjOknqIeKcjP4LXMaz68waFkyLImNYNZcJrxa+m6okQ9qlOUzMYaAr7kSI9CQjgQs0tYYkuLmsiXgIJrl1A504fmlHWds039WOzGRdwqHR9LZFQEh9mgO/XkyLYsveCWRNC2ce3e16TlvM1hxMi9aVfV4NvKy2N3RVzL3wo5gJOmOY6IhpBcImnbVKmvzEcvzLu4PZUFaC1BwqxMlzMPwXkaLCwbAQEcxKhBBoqoKBrnhdxfZEuFZTrL6SeDFxM9Js1rB9DqGZlSp3SLvNSnNY1hV3duj9AWsNfG7V+hzmcmZBMlSjSETUsuXIxe9MrGZaSahkPeiqgp5EpE7hkBdmzwza9Ta9wqGP1dAarUNDqRbHrFSgOZQWDlxz8J5TXFPnG53FzF9V7rflmsNxi9tDc0YDUnOoGGcB9tEcsoaFq+/a4NwXT3bDsgKp0FmKclqNKBwGuuN4cziFuazpOMjCoJxDWryQ3A7pOfz+cf0YnbEXPNEBHBS1+BzmciZi7CJ/+h/f7uzubn77moKWkfWSiKjYN15Oc8g/zvseb/rEhVjUXlsxwmrob48GojkAwGuHptGTjBSYDleyfJadIyksqrHAYrVwbcyrOXjzHLzwjZDXzGsLB9W5BpZ0xjE0lSnbpIq/zjf+4syG1McqhtQcKoRHBPk5fQ9Npl1x3uLJbpi0rtr+Fc2N+0OKaDWicDialWaYSufs2kotkiEtxrDzxi4Zw8Th6QwGuhIYYQveiUuDt7lWm+dgWnY5bK45LO9OYBVzoP7dJcfhrmvXBzq/uK6VLZ8hCtTNu8agKqQhWpYf/e3ROn0O+c3U8EzGKUchwr9fHpQQBmIoKwBcdvJSV/2sYhQL2+abMW5aXcqEXDnNwWkYFtK1ypGaQ4XwBdjP6curnR7Vk0BcV11RFVmz8bkE5TQHsc7P2sXtePK1YYzOZFm0Ujg7kXIO6SlhgeALHW8/uawrhj87+yj0JSP424uObcDcqjMrOU3mQzQrpcrsLsXifI+9chi9yUhDQ2tFepMR7K6iEc+rh6bwrd/sxBf+5BSoCnFlPg9PZ1w1qjjLuuKIaAreDFE4pB2HtH3yfu3PzqjoOM0TWr7xzVGs6Ek4DumpOftc41UUyoWzcoe1HpKvhSM1hwopFRHEwwg/c8U6dMZ1V4G4MDSHctFKYqOANax+//hsNlSzktOOs4hD2k848AS4ga443nvWCtz9l2c1RK3WlOr6g/OdXjnzQlAkImpZhzT/zs5ZZUciBRXsUAnxiFpVz4mb73sBP3xun5PsJmoOh4sEaqgKwcreRFUF6+olY7g1h0rhG0nTorAsivfd9Ttc/rVnnCrIXHNoi9qvW+635VUZGlEtuRRSOFRIpESeA9cU2qIqklH3hewNZW0E5cxKYhjkMaxQ3XmW4xcAACAASURBVD//9GXMZIzQzEpqGYf01JygbbGFjifALetqbITGsYvb8dK+iYI+wMXgJp6w7L+JiOZEmBWDm+LedfJSAHZ9orCIqEpFhR85fEPCBcp02kBSKIldTLAt705U/BsFAdccqv2dVcfnQDE0bZ/Dw9MZZzO2bsDOVeCNlr7yxGDJ35ZvXBq9yfQihUOFaCXMSlwYJKMaElHNZQIIRziUNiuJZi6uORxkJpuwzEpqGYe0GGHDFxq+ECztaqwD8oMXrIZpUTyweW9Fz+eLWlidyfj7lHJccvv424+zO/YG2I21LFFddXICKiHf4c4+ZjptuLJ+24tE8VWrodRLPlqpuutXrMMm+ki4WelD71iLh25+K85iWt6mnWPY+OZo0dfLNklzkD6HCnF8Dj5XHV98kxENyYjqah5uWLSm2v7Vza20WUl09nY2oAVoJZRzSI8KtXmyhoWDk3O4++md6G+PNlyADXTF0R7Ty9YH+vlLB9ER15ws97B8Dtx8NZc1iy6cfAFZ1BHFZacsdcxLYRDVFFe0VDl49A/fRE2lczh+STt2Mb9FMc0hpqk1NT6qlVTWBCHV/85i2LaowVFqa1mqQnDK8i4cnMxrQaWEueOQlsKhNcnnORT3OSSjGhIRH82hwaYbTVBjvVBKMVNix7njcLBhl8Uo55Aem8kvzDnTws9fOojJuRxuuKCxNes5cb18LsFN9z0PAPjBDec6x4RBXnMoPj++c4+oCr72p5U5ToPCtqO7W+KWgtcqmprLwbIoZjKVaQ4xXQlNc9g5ksLwdBptEa3qUvtO4T2LYhfTHAhhwkFYC8Ts+lKlQXKmBYXU13q2FqRwqBCthOkmb1bK+xx4vZScSRseZcBPuJxp4eb7nkciouJfrzzVmRuldreqi05cUnDs29b0NXRunHIO6bFUhl38FjKG5fgd/vHS40OZn51oVtmulAuRWMhmpVIRS1nWcbBRPUNKIdYeqkg4MKF6y/1bMHh4BpTClY/hF8oK2CbQMISDaVG8+47fIJU1saxMNrQfjuZgWo7mwE97UTh0xHT80x+eiH/+6cslTYY5q/GmaT+kz6FC+AL/0r5J3Prjl1y285mMAV0ldjvBqOaUpnCSaBq8iGhCuv7PXjqIBzbvc80NAP7xncfj397r7iS29VMX431n1d6etBoc4VDCrMQzT7OGhZmM7aQMa7cU09WCHsbFCDuU1Wuj98Nu3BRegpQID9ao1OQjVgL+yhODAOxwZU5Rs5KuOJVSG8nUXM7JWyqmxZQi75+kBfWgvAEg7z7FbhCUKqU5GFQKh1aG/zj3btyD72/aizHBgZrKGEiwLmC8G1gqYzgaRaLBiwifm1/ECD85xRryb1trawvtMT20WHi1TA/psVQWvW1R6Kzl6UzaQFvI4ZilzEpi5UweWRW2cPDWyBIJs+WrF94wqlhZ8VTGwCd+stUJV/bzwQ10JZzbxc1KKkyLli1NXy9icEQt56AulM/wagTenCd+Xc5kiv+2OaEPfZhIs1KFeMPIxF1SKmM6P7JoH+YqfqPj4UuVE5+cs090scDet//yrJJ9KRpBOc1hLJXFip6EHRZpWJjJGi6B1mgSEbXk7k38vfexMuJh5Tk4mkMJp2+YLV+98Pct5pS+d+Nu3LtxD7oTEfzdJcf5+sbaY5pThqOU5mC/T2PNLBNCT+xa8kXyDmkLs1kTSztjTnSgV4DHdAUKKR2JZkizUmvj/XFE22cqYyDJElq4kymVNRwzRTzS2EWuVPb2oUm7rIFYLExXldAWNg4hBAopbVbqZRVXswbTHEIUDjG9dKKZKDi4HTmsPAe+KJYyK/EwyWYQ0SozKzml4n3O0/aYhmP67RIZxQr35s1rjfU7TM6KwqEGs5KTIW33Q1/Rk9eKvKY/QgiSkdK9KrLSrNTalBQO2bxZyXEeZkzMZe2LoNHmh4gnqUiEh8strcGxFjSqQnwd0pZFMZ7KOuW4uc8hVLOSXtrZKQqO3Uw4hGZW0sovis3VHEqblbgpZTqdQzpnuiL++KYloin4v1edistOXor1K7t9X8ebPNcoJubyZqWaNAc175CezZpY0S0Kh8LfKBnVSmqttuYgzUoti9cxKu7iUpn8LpdrDrNZAwa7KBqdLNUW1RBRFYz5xOkPTaUR05WGdKCrFrVIDaNDU2kYFsVAt10/h/sc+toSPq/SGMqVxRZ3drtHZ6EqJLQLthKHdDM1h3JmJW5F+q/n9uFnLx3EuavzORgP/NV5+OZv3sRxi9uhqUrJ+kWVfA9BMDFbp1lJKLw3mzHQGdfREdMwlfavSJCMqkiV8TlUEgUWNFJzqJGMy6xk5s1KjkPadFo7NtqEQwhBX1vEtzLmwck0lnTEQnM8l0Il/sKBx4Kv7E3mfQ4ZA23R8ARaObOSaBMeS2WxrCu87zRvViqhORhm86KVuHAosmiLu+K5nOnyORzVm8BnrlhX0eIXrUCDCgJROCT0GhzSTgVnC7M5E4mI6pQg9xcOWukw5floViKE7CKEbCWEbCGEbGZjPYSQRwkhr7P/3cLzbyWEDBJCXiOEXCKMn8leZ5AQcgdphZXMh8c+cgHu/cA5ANzOwZmM4WgMSaeYloF0NryQx/72KA5O5HsH8+iaQ5Ppsp2rwqKY5rBzlAmHviQiLAt2JmOEWjwuUaY0gzeaZFVfW6On5FCJQzprNL76bzEczaFYhr7HZJIxTHQldNzHrqVKiemV+TbqZVJwSFfSudCLyjSHFMsxSkQF4eDzGyUj5c1KkSaYlYI4m95OKT2NUsqL2H8MwOOU0rUAHmf3QQg5EcDVAE4CcCmArxNC+Kp5J4AbAKxlf5cGMK/AWbOoHT1OmV3BrJQ1HI2B+x5SWTMfyhqC87evLYp9E/lUfe70OzSVxtLO8FoLlqKYcNg9OouIpmBpRyxvVsqE65CO6ypyZvEwSX7xruy1TV2resMzeeVt7SXyHAzLlT8QJuU0B2+s/8hMFicPdOItVSZgVhLSGwQTQihrLcKBaw5TTMgkdBV97fa6UUxzKBfKulDMSpcDuIfdvgfAFcL4/ZTSDKV0J4BBAGcTQpYC6KCUbqD2dve7wjEth3OCCru42YxZoDmkMka+tHMImkNfWxT7x/O1WjKGhcNTaRyYmMPRIS5kpSjmkN45ksLRPQkoCkFUVTA5l4Np0dDzHIDijVe4cBhgPXyXd4f3nRJC7PpFpfIcmqo5MId0EcEqluQG7FLstTjPK9GggkAMZa22fSyQ9znwvI5ERCtjVlJLZ0ibdF46pCmA/yGEUADfoJTeBWAxpfQgAFBKDxJCFrHnDgD4nXDsPjaWY7e94wUQQm6ArWHgqKOOqnPqteENK8waFrKm5dRmj2kqCLHLZPPErzDCRvvaI67iXemciQc274VFgctP8/06Q0dVCEyfGPfDU3nTV0RTcHDKFnKhag7sN0pnTVdv73TOxDXf/B2OYuGIduTJaKgmL8BeGEv7HFrAIV1kfl6zUrbGPIVKNKggGE9lceLSDiSjKq49b2XVx/M8B97EKB5R0ZssYVYqE62UM61QrwVOve/4VkrpASYAHiWEvFriuX6ij5YYLxy0hc9dALB+/fpws7gY3rBC/qNyc5KiECR0FamsCZWpl6H4HDwtITM5Cxt3jmHdQIfTYrHZqMRfc5jNmk7Pho645mhAYZuV+FxEXj00jRf2TOCFPRMAgL+/5Dj0JCO44vRwBS6vO1WMbIhd/bxEy+Q5zKQLF75ahENYeQ7D0xmcd0xfQbmZSiGEIKYreOzlIQC2WXnt4jbEddW3KnJ7TMPUnAHLor61scIo++9HXe9IKT3A/h8G8BMAZwMYYqYisP+H2dP3ARAL+SwHcICNL/cZb0m84XQ8ykBcyJJRDbNZ26wUUZVQ7IV97W7hkM7ZPo+uePmet2ER0RTfBWQ2azrCdUlH3NGAwiwvzoWD16wkmhV0laC3LYp/uPT4UBu9A0xzKGFOSefMpvkcyuU5zGQMXHLSYmz91MXOWG3CofGaA6UUwzMZV5XYWrj1nSc453o8ouKd65Zgw63vcGmlnFW9SWRNC/vG/RsZGU0yK9V8NhFCkoSQdn4bwMUAtgF4CMB17GnXAXiQ3X4IwNWEkCghZBVsx/MmZoKaJoScy6KUrhWOaTm8iTg8PjnpEQ52EpwRWiZyj6fxeTpnYS5rhr6IlaK3LYpRn3BbO4nQnqdYgG1FiHb9Yj4H0VSSaHCmeyliJSqSUkoxlc41LZclWiaKaDpthyW3RTXn+olo1S92XGuvpndEpTwzOILP/eIVbNs/hZxJsahO4XDV+vx+NxHRQAhBl09vbAA4dkk7ALu3tkgqY+DbT+/Eq4emm+KQrudsXwzgJyzqVANwH6X0EULIswAeIIRcD2APgKsAgFK6nRDyAICXARgAbqKU8l/5RgDfARAH8Av215IoCkFEU5xdnNPoJ5pfhBMRFbvHZrFlbza0LFpvU/aMYSJtmM5uqxXoa4u4OmNxZjMmEuz7E8NuV/SEF2XlaA4es5LY2zpsP4NIKbPSbNbOHehqknDIV2UtXLQHD09j/8Qc2mN8gdQxNJWpyXneqCQ406L40PdfwFgq6/SorldzEDcS5aIVj11sC4cdQ9O4+CS7rP62/ZN491eedp7T6AgtP2o+2ymlbwIoMMpRSkcBXFjkmNsA3OYzvhnAulrnEjYxTXHC9niUgUtziGjYtGsMQOGOvlF4hUM6ZyGdNUMTTpXQ1xbFpp1jrrGcaTv0eSiwWOYjTBs6//28YZdTwn0/k0BYREs4pHl0TVeTuvwpLFvcz6z0V997DkB+Ye+M28KhPod0sAvl5l1jTnWBZwZHAKBuzUGk3DXYFtWwvDuOVw7mG29t2z/pes5Gz3UTBq2zrZxHiJEjThc4cacgaBF+JS0agXdhmMnkMJczQy+wV4r+9ijGZ3OuXAJvLkizcjIWsxo/2/ZPYs9oPl9EFBbN1Byimn8vA8uijgO/s4n+pYjq7086xKqR/unZdnQhF7C1dEdUFIKIqgQayjp4eBrX37MZEU3B7x3b75yP9WoOIpXkOZ23uhdPvnbY0VQVTx7wumWdgc2nUqRwqAFROPDklTaP5tCMOYn89X8+j/HZXEv5HHis96jQEpRrXlwND/KirIbeZAQRVcFXnxzEBV980hkXY/Q7mlifKqareHHvhKsvAgB8/VeDeO83NgBonuYA2JqN16yUNezyEbdcuBZHsVwb/h3WGn0T0xWn8kAQvLBnAjMZA5+9Yh3OOCpf8G9RR/1VBT73xydDU0hFlV2vPW8lZrMmHtpix+KIsuHsVT34xrVn1j2fapHCoQZE+6+zuAnaguh/+Of3nBTu5Dy0knDgC/+I4JTOO/Tteeqqgv992Ql48Ka3hjo3RSFY3JkXTHtZ5dVW0Rz473jvxj2493d7nPEfv7Dfud1U4SCYWjlDU2lQ6g4y4JpsreUg2mM6pkvkBFQLL5VxyUlLcOKyDgC2SSkZgMZ9zdlHYfBf3lVR/sm6gQ5oCsGBCVsLFOtPnbi0oykmTVmVtQaimlrgkBY1B74LvuzkpbjuLStDn59Iq/kcADuOnDPnmJXy398H3rY63IkxepNR7B2zL84Nb45iRU/CKYEANNfnIJZ0EG/HBL9MM8OWl3fHsdVjJz80ZZuUlgimQn4+1pqwx3MCgmIqbYAQoD2q4cLjF+E//vIsnL2qJ/RClYQQJxnulYNT2Lhz1HmsGQlwgNQcasLWHPI+B1UhrnIAfBfczJ0cp5WilbiTb+943qbP80SC2KnVi+jofHGvnfQ27XJIN28vtWMo76wUE/VEn1Izz7d3nbwUrx6axuDh/Dx59zMxyIDb33mCaLV0xPWCchz1MDWXQ1tUg6IQKArB249f5AouCZNkRMVMxsQ7v/wbPLgln+oVZhkZkdZZOeYRts+BJcFlTCQjqmunwXdHzTrJRFpJc1jeHccx/Un86Ll8tZS8Wa7535W46PJAgulMfV3BgoLXcupJRly5GKKdv5kmxItOXAwA2PBmPqrmWRZhIwoHfj4WS5grB++LEBRT6VxTNUKRYmU0pOYwj4jpquMUTAnlujk8GKdZnbn+8NRlzu1WilYihOBPzzkaL+6bxJvDM/jr7z2HX782DCCcyrXl+OjFx0IhwMkDnXnh0CI+h7v+4kz8+G/egq6E7srFEE10zWRpZxwKyc9n675JfO93u7FmUZtLqMaKZKJXSkcsaM3BaGqggUgyqmE0Vfh7Nuu8k8KhBs5d3Ys3h1PYfmASE3OFmalZ0z7xw66Sefd163HVmcvxlWtOd8ZaySENAGsX2X0Qtu6fxCPbD+GeDbsBtIZwuPy0Abz5ucsw0BXHOLPri7X9m1WeArCzy884qtvVsc6yKEZY5Je3U2HYqApBTzLiCAfeo+PLV5/mep6TiV6iCmkpbJ9DgMIhnWuquVCkLarh1UPTvuPNQAqHGrjyjOWIaAr++4X9mJjNFth6ucpcSyx3PVx4wmJ88Sp3XmKrCQeeFPjGsDtTuhnhv8XoTkYwlrLzMXj0CFAYe94M4nq+vPP4bBamRfG/LzsBr3y6+S1Q+tqijnDgu/s+T0HIYjWsKqUjrmMmYxepqxRKKZ7aMexbfntqLtcymkMiohYkYQJSOMwrOhM6lnXGMDSVwcRsriA7+exVvQCA9Uf7N0oPk1byOQD2wgsAbxyecY2LocDNpiepY3w2iz1js66QwmbvzgEgHtEwx/xdXMAu7Yw3rVy3SH971AlT5pVYvQvb6Ud1AQDOYddItXTEdFgUJdtqetm2fwrXfnsTfr3jcMFjUz6af7MoJgSkQ3qe0RnXMTGXw/hsrkBzuOjExXjhkxdh/cqeIkeHR8sJB/ZdvX7YrT43q1GNH92JCEyL4u//60UAwMffdTwA4OwW+D0TuuqYZP7l4VfQ1xbB+VV2VGsU/S7NwYBCCs2Fpyzvwpb/c5HLL1YN3P5ejVP64OQc+58ueGwqbbSUQ9p3vEladevo8vOMzkQEk7NZTM5lfastdodUU6kcrRTKCtjCKqopGGSaw09vPh+HptKhx5WXgpu+nmc9HN63/ijccMExzZySQ5z5HA5OzmHL3gl84l0nhFravBT97VEMz2RAKXXavPr9rsWqk1YCNwHZZqvKSq1wv8wnfrIN/7N9CPe8/2z89wv7sW3/JGYyBjrirbEMFtOem6VVt9bKMY/ojOs4MJluajXMSmg1nwMhtuPSonZ/hHUDHU4YZKvgFeytsvgCTDhkTWzeNQ4AOGd187UZTn97FFnDwlTawFQ615DQX0dzqCIRTiwT/+sddnTcD57di289vRNAc5MbRdqYhrCGBW0AwPc/eC4WtddfyqMWpHCoka647qjQXp9DK9FKoawc/n31JqMtpTFwuBqfiKj42YfOb/Js3CR0FbNZE8/tHkciouLEpR3NnpIDL48yPJ3BTNpoSAgmX8iriVga8fQQoZS6eif0trXG9cvNSrwrYl9bFOcdU5tvJghaQ5+ah4hOrFbaWXJUhcC0aMtpDkDebBNWOfNqOWFpO9YNdOAzl6/DuoHwq2GWgpuVXj44hROWdjSlCUwxeGXbQ5Np1uAn+OWFbyzGZiuvdjziqYy8cySF8dm8cOGLcbPh/pn2mIa7r1uP41gToGbROmfWPEN0Qrei5nDteUcDsHtPtBq8vEir7Ni8tMd0/OxDb8PpRzU/2sxLPKKCUmD/+FygPQeCgGdCH5ycw0ymMZrDog77Mx+eKnQuF2PEkyj42zdGXffFDO5mkmOhtu1RDReesNjJim8WrbdyzBNEzaEVaih5+eRlJ+LVz1zaUjtLzolL7d34+85aUeaZEi88+mz/xFxBDkGzcWsOObQ1wJYf01Wnm1wljKeyrrpUAPDbN0Zc9xcHUJ47CIqF/zaL1ls55gmicFjSIjsPEUUhLWlSAoCb37EGr37mUrz7lNrCGY9kxNDQVhMOsf/X3pkHSVmccfj5uQeXsCDswuqKaxREIIKAeAQC0VC6OS1NDJQlqEmMOcpQMVY0lVSMR1Wk1PIgCRLF0iQeISYViEajGDyIRiXisSCnRFAKBRVBLEvkzR9fDww7uzjsfLPTw75P1dTO9tfb80zvzLzT/fX3dlUFfXtUc+fT/2Pt5u1FS/vQv2dXNuY5crjonuf3mEICWLRq8x6JHtu7t0TaNA0fQHXlAUweG8eXpjh6pQzJXo4Xy2qHcqEi4sAVO92y1rz36xnftFx2Co1iZdqt69WFjXnklNrx8U6eWJmMEn40aTD9w5TUlg8+YnQE16y0pLFfD1Zc1cSRdaU915DBg0M7yQz9moYPKLGJ05nIvqgxtpEDwMqsK99f3bR9LzXbz4BeXfd6zmHnTuPq+5cyN2T/vXHySC46ZRCPXjxxV53MKq+qdm461BmIY3KrDDm6vifXnzWC0zw4OB1Ij4inlSDJCDz/hTcY0VDD+eMai/IY/Xt15c2tH3LF/KXU9erCpq0f8uNTj9o1Gn1qzWZ+98Sru+pntv/MnpIb0VDDg9PHl3SDpNjx4NBOJHHGqIZSazidjGFZS2trIwwO1379GK74yrCiZggYUNOVj3cacxbtDgAHdq1k+ucHA3DXM7u3UT2usQ8NfZKlqpK4cMIR9OpWyanDBnBABLmyYsaDg+OUETXdquhWlVzrEOM5hy6VFXSpLO75pJGH9s4pm/noKv7ZvJFvjjucx5e/xVljGpgwuI6Th9TtcaHlpU1Diuq2PxFNcJB0GnAjUAHcama/KrGS40TJIxdP4OnVm/fYd7szcXQrV4Xv2Gks3fAel/z5BXYajB9UyxePqS+B3f5DFCekJVUAvwaagKHAFElDS2vlOHFySO9unDm6805pttyz/crTh++6n1lFeMKnSpd2Yn8hlq8eY4FVZrYGQNI9wFeBpSW1chwnShZeMpEtH3zEoX260726gpOO6EuP6kpee3s7z659e1eeJ6f9xBIcDgHWZf2+Hji+ZSVJFwAXAAwcOLBjzBzHiY76mm7U1+zOiXREbZLJdEBNV8YeHt81DOVIFNNKQGvLBnL29DOz2WY2xszG1NbWdoCW4zhO5ySW4LAeyL5mvAF4o0QujuM4nZ5YgsOzwCBJh0uqBiYD80rs5DiO02mJ4pyDme2Q9APgIZKlrHPMrLnEWo7jOJ2WKIIDgJk9ADxQag/HcRwnnmklx3EcJyI8ODiO4zg5eHBwHMdxcpBZzuUEZYGkrcDyVg71Aza1Ut6SGmBLCerF7BezG8TvB/k5ev+1zv7gF7MbwECSz/1PvlDMzMryBjy3L+Wt1JtdonrR+sXsVg5++Tp6/+2/fjG7hXpv5VPPzDr1tNL8EtXLl5j9YnYrxuO6X8fUy5eY/WJ2A3g334rlPK30nJmNybc8FmL2i9kN4veDuB1jdgP3K4R83fblOZTzyGH2PpbHQsx+MbtB/H4Qt2PMbuB+hZCvW97PoWxHDo7jOE7xKOeRg+M4jlMkog8Okg6V9C9JyyQ1S/phKD9I0sOSVoaffUJ531B/m6SZbbQ5T9LLsflJWihpuaQl4VYXkVu1pNmSVkh6RdKZhbil6SepZ1afLZG0SdINhfql6RiOTZH0kqQXJT0oqV9Ebt8IXs2SZhTiVYDfJEmLQx8tlnRyVlujQ/kqSTdJai3Nfyn9rpa0TtK2Qr3SdJPUXdL94T3bLCn/7ZfzXdZUqhtQD4wK93sCK0i2Ep0BXBrKLwWuCfd7AOOAC4GZrbR3BnAX8HJsfsBCYEyMfQf8Ergq3D8A6BeTX4t2FwOfjakPSfKYvZnpt/D3l0fi1hd4DagNv98BnFKCvjsWODjcHw68ntXWM8CJJHu//ANoiszvhNDethK97lp1A7oDnwv3q4En8u27VD6EOvIG/A2YRHIBXH1WRy5vUe9ccj/gDgSeDJ2cSnBI2W8hKQaHlN3WAT1i/d9mHRsUXBWTI1AFvAUcRvIBNwu4IBK344BHsn4/B/hNqfoulAvYDHQJdV7JOjYFuCUWvxblqQSHYriFYzcC387nMaOfVspGUiNJhPwP0N/MNgCEn/lMwVwJXAdsj9QP4PYwNfLzNIbOabhJ6h3uXinpv5LmSuqflluhfi2YAtxr4Z0Qi6OZfQR8F3iJZCOrocBtMbgBq4AhkholVQKns+fmW6XwOxN43sw+JNlGeH3WsfWhLBa/opKWW3gffxlYkM/jlk1wkHQgcB8w3czea8ffjwSONLO/pi5H4X6Bs83s08D4cDsnErdKkt35FpnZKOAp4No03FLyy2YycHfhVnuSwuuviiQ4HAscDLwIXBaDm5m9E9zuJZl2WAvsSMOtPX6ShgHXAN/JFLVSLbXgn4Jf0UjLLQT9u4GbzGxNPo9dFsEhvLHuA/5oZn8JxRsl1Yfj9STzuXvjRGC0pLUkU0uDJS2MyA8zez383EpyXmRsJG6bSUZbmcA6FxhVqFuKfpm2RgCVZrY4DbeUHUcCmNnqMKr5E3BSJG6Y2XwzO97MTiSZulhZqFt7/CQ1kLzOpprZ6lC8nuTLSYbUthFOya8opOw2G1hpZnkv1Ig+OISplduAZWZ2fdahecC0cH8ayZxcm5jZb83sYDNrJDkpt8LMJsbiJ6lSYfVKeFF8CShoRVWKfWckl/FPDEWnAEsLcUvTL4sppDxqSNHxdWCopEzCs0nAskjcUFgZF1a/fA+4tRC39viFaY/7gcvMbFGmcpg+2SrphNDm1HyeU0f5FYM03SRdRZLAb/o+SRTj5EmaN5IPciMZhi8Jty+QrLBYQPINZwFwUNbfrAXeBraRfOsY2qLNRtJbrZSKH8lKksWhnWaSE0cVMbiF8sOAx0NbC4CBsfRd1rE1wJBYX38kq4SWhbbmA30jcrubJOAvBSaXou+AnwHvZ9VdAtSFY2NIviytBmaSwoKDlP1mhP7cGX5eHoMbySjLwusuU/6tfBz8CmnHcRwnh+inlRzHcZyOTtC0DQAAAcdJREFUx4OD4ziOk4MHB8dxHCcHDw6O4zhODh4cHMdxnBw8ODhOEZB0oaSp+1C/USllCnacNKgstYDj7G9IqjSzWaX2cJxC8ODgOK0Qkp09SJLs7FiSlMlTgaOB60ky/G4CzjWzDSEVy7+BzwDzJPUkydB5bcjrNYskffJq4Hwze0fSaGAOSWqSJzvu2TnOJ+PTSo7TNkcBs83sGOA94PvAzcDXzCzzwX51Vv3eZjbBzK5r0c6dwE9COy8BvwjltwMXWZLPyHGiwkcOjtM262x3npo/AD8l2Ujl4ZBNvQLYkFX/3pYNSKohCRqPhaI7gLmtlP8eaEr/KThO+/Dg4Dht0zK3zFageS/f9N/fh7bVSvuOEw0+reQ4bTNQUiYQTAGeBmozZZKqQv78NjGzLcA7ksaHonOAx8zsXWCLpHGh/Oz09R2n/fjIwXHaZhkwTdItJFkwbwYeAm4K00KVwA0kWXT3xjRglqTuJJljzwvl5wFzJG0P7TpONHhWVsdphbBa6e9mNrzEKo5TEnxayXEcx8nBRw6O4zhODj5ycBzHcXLw4OA4juPk4MHBcRzHycGDg+M4jpODBwfHcRwnBw8OjuM4Tg7/BwgzXegpB+A/AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    " sorted_data['inc'][-400:].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
-- 
2.18.1