From beaf1c35ae410dfc1c686a3db56f26c2cf447bc2 Mon Sep 17 00:00:00 2001
From: Sueide Vilela <sueide.t@gmail.com>
Date: Thu, 19 Sep 2024 22:17:13 -0300
Subject: [PATCH] projeto_guiado_sueide_vilela

---
 exercicios/projeto-guiado/clima.db            |  Bin 0 -> 929792 bytes
 .../projeto_guiado_sueide_vilela.ipynb        | 4595 +++++++++++++++++
 2 files changed, 4595 insertions(+)
 create mode 100644 exercicios/projeto-guiado/clima.db
 create mode 100644 exercicios/projeto-guiado/projeto_guiado_sueide_vilela.ipynb

diff --git a/exercicios/projeto-guiado/clima.db b/exercicios/projeto-guiado/clima.db
new file mode 100644
index 0000000000000000000000000000000000000000..c2ec9d6a6511763d9eddc788e3ad631974e11fcb
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diff --git a/exercicios/projeto-guiado/projeto_guiado_sueide_vilela.ipynb b/exercicios/projeto-guiado/projeto_guiado_sueide_vilela.ipynb
new file mode 100644
index 0000000..f5242e9
--- /dev/null
+++ b/exercicios/projeto-guiado/projeto_guiado_sueide_vilela.ipynb
@@ -0,0 +1,4595 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv('INMET_MS_ITAQUIRAI_2020.CSV', delimiter=';', skiprows=8, encoding='latin1')"
+   ]
+  },
+  {
+   "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>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>PRESSAO ATMOSFERICA AO NIVEL DA ESTACAO, HORARIA (mB)</th>\n",
+       "      <th>PRESSÃO ATMOSFERICA MAX.NA HORA ANT. (AUT) (mB)</th>\n",
+       "      <th>PRESSÃO ATMOSFERICA MIN. NA HORA ANT. (AUT) (mB)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>TEMPERATURA MÁXIMA NA HORA ANT. (AUT) (°C)</th>\n",
+       "      <th>TEMPERATURA MÍNIMA NA HORA ANT. (AUT) (°C)</th>\n",
+       "      <th>TEMPERATURA ORVALHO MAX. NA HORA ANT. (AUT) (°C)</th>\n",
+       "      <th>TEMPERATURA ORVALHO MIN. NA HORA ANT. (AUT) (°C)</th>\n",
+       "      <th>UMIDADE REL. MAX. NA HORA ANT. (AUT) (%)</th>\n",
+       "      <th>UMIDADE REL. MIN. NA HORA ANT. (AUT) (%)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, RAJADA MAXIMA (m/s)</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
+       "      <th>Unnamed: 19</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0000 UTC</td>\n",
+       "      <td>,6</td>\n",
+       "      <td>970</td>\n",
+       "      <td>970</td>\n",
+       "      <td>969,5</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>23,1</td>\n",
+       "      <td>22,6</td>\n",
+       "      <td>23,1</td>\n",
+       "      <td>22,6</td>\n",
+       "      <td>22,8</td>\n",
+       "      <td>21,6</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>3,2</td>\n",
+       "      <td>1,9</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0100 UTC</td>\n",
+       "      <td>0</td>\n",
+       "      <td>970,2</td>\n",
+       "      <td>970,2</td>\n",
+       "      <td>970</td>\n",
+       "      <td>2,9</td>\n",
+       "      <td>23,7</td>\n",
+       "      <td>21,7</td>\n",
+       "      <td>23,7</td>\n",
+       "      <td>23</td>\n",
+       "      <td>22,5</td>\n",
+       "      <td>21,6</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>4,6</td>\n",
+       "      <td>1,3</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0200 UTC</td>\n",
+       "      <td>0</td>\n",
+       "      <td>969,8</td>\n",
+       "      <td>970,2</td>\n",
+       "      <td>969,8</td>\n",
+       "      <td>1,6</td>\n",
+       "      <td>24</td>\n",
+       "      <td>21,8</td>\n",
+       "      <td>24,4</td>\n",
+       "      <td>23,7</td>\n",
+       "      <td>21,9</td>\n",
+       "      <td>21,2</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>345.0</td>\n",
+       "      <td>3,2</td>\n",
+       "      <td>,6</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0300 UTC</td>\n",
+       "      <td>0</td>\n",
+       "      <td>970,1</td>\n",
+       "      <td>970,1</td>\n",
+       "      <td>969,8</td>\n",
+       "      <td>,6</td>\n",
+       "      <td>24,3</td>\n",
+       "      <td>21,4</td>\n",
+       "      <td>25,1</td>\n",
+       "      <td>24</td>\n",
+       "      <td>22</td>\n",
+       "      <td>21,2</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>332.0</td>\n",
+       "      <td>4,8</td>\n",
+       "      <td>1,5</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0400 UTC</td>\n",
+       "      <td>0</td>\n",
+       "      <td>970,2</td>\n",
+       "      <td>970,5</td>\n",
+       "      <td>970,1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>23,8</td>\n",
+       "      <td>21,7</td>\n",
+       "      <td>24,3</td>\n",
+       "      <td>23,7</td>\n",
+       "      <td>21,8</td>\n",
+       "      <td>21,4</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>316.0</td>\n",
+       "      <td>3,3</td>\n",
+       "      <td>,2</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Data  Hora UTC PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "0  2020/01/01  0000 UTC                               ,6   \n",
+       "1  2020/01/01  0100 UTC                                0   \n",
+       "2  2020/01/01  0200 UTC                                0   \n",
+       "3  2020/01/01  0300 UTC                                0   \n",
+       "4  2020/01/01  0400 UTC                                0   \n",
+       "\n",
+       "  PRESSAO ATMOSFERICA AO NIVEL DA ESTACAO, HORARIA (mB)  \\\n",
+       "0                                                970      \n",
+       "1                                              970,2      \n",
+       "2                                              969,8      \n",
+       "3                                              970,1      \n",
+       "4                                              970,2      \n",
+       "\n",
+       "  PRESSÃO ATMOSFERICA MAX.NA HORA ANT. (AUT) (mB)  \\\n",
+       "0                                             970   \n",
+       "1                                           970,2   \n",
+       "2                                           970,2   \n",
+       "3                                           970,1   \n",
+       "4                                           970,5   \n",
+       "\n",
+       "  PRESSÃO ATMOSFERICA MIN. NA HORA ANT. (AUT) (mB) RADIACAO GLOBAL (Kj/m²)  \\\n",
+       "0                                            969,5                     NaN   \n",
+       "1                                              970                     2,9   \n",
+       "2                                            969,8                     1,6   \n",
+       "3                                            969,8                      ,6   \n",
+       "4                                            970,1                     NaN   \n",
+       "\n",
+       "  TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "0                                         23,1   \n",
+       "1                                         23,7   \n",
+       "2                                           24   \n",
+       "3                                         24,3   \n",
+       "4                                         23,8   \n",
+       "\n",
+       "  TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "0                                 22,6   \n",
+       "1                                 21,7   \n",
+       "2                                 21,8   \n",
+       "3                                 21,4   \n",
+       "4                                 21,7   \n",
+       "\n",
+       "  TEMPERATURA MÁXIMA NA HORA ANT. (AUT) (°C)  \\\n",
+       "0                                       23,1   \n",
+       "1                                       23,7   \n",
+       "2                                       24,4   \n",
+       "3                                       25,1   \n",
+       "4                                       24,3   \n",
+       "\n",
+       "  TEMPERATURA MÍNIMA NA HORA ANT. (AUT) (°C)  \\\n",
+       "0                                       22,6   \n",
+       "1                                         23   \n",
+       "2                                       23,7   \n",
+       "3                                         24   \n",
+       "4                                       23,7   \n",
+       "\n",
+       "  TEMPERATURA ORVALHO MAX. NA HORA ANT. (AUT) (°C)  \\\n",
+       "0                                             22,8   \n",
+       "1                                             22,5   \n",
+       "2                                             21,9   \n",
+       "3                                               22   \n",
+       "4                                             21,8   \n",
+       "\n",
+       "  TEMPERATURA ORVALHO MIN. NA HORA ANT. (AUT) (°C)  \\\n",
+       "0                                             21,6   \n",
+       "1                                             21,6   \n",
+       "2                                             21,2   \n",
+       "3                                             21,2   \n",
+       "4                                             21,4   \n",
+       "\n",
+       "   UMIDADE REL. MAX. NA HORA ANT. (AUT) (%)  \\\n",
+       "0                                      98.0   \n",
+       "1                                      97.0   \n",
+       "2                                      88.0   \n",
+       "3                                      88.0   \n",
+       "4                                      89.0   \n",
+       "\n",
+       "   UMIDADE REL. MIN. NA HORA ANT. (AUT) (%)  \\\n",
+       "0                                      94.0   \n",
+       "1                                      88.0   \n",
+       "2                                      83.0   \n",
+       "3                                      80.0   \n",
+       "4                                      83.0   \n",
+       "\n",
+       "   UMIDADE RELATIVA DO AR, HORARIA (%)  VENTO, DIREÇÃO HORARIA (gr) (° (gr))  \\\n",
+       "0                                 97.0                                  11.0   \n",
+       "1                                 88.0                                  10.0   \n",
+       "2                                 88.0                                 345.0   \n",
+       "3                                 83.0                                 332.0   \n",
+       "4                                 89.0                                 316.0   \n",
+       "\n",
+       "  VENTO, RAJADA MAXIMA (m/s) VENTO, VELOCIDADE HORARIA (m/s)  Unnamed: 19  \n",
+       "0                        3,2                             1,9          NaN  \n",
+       "1                        4,6                             1,3          NaN  \n",
+       "2                        3,2                              ,6          NaN  \n",
+       "3                        4,8                             1,5          NaN  \n",
+       "4                        3,3                              ,2          NaN  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "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>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>PRESSAO ATMOSFERICA AO NIVEL DA ESTACAO, HORARIA (mB)</th>\n",
+       "      <th>PRESSÃO ATMOSFERICA MAX.NA HORA ANT. (AUT) (mB)</th>\n",
+       "      <th>PRESSÃO ATMOSFERICA MIN. NA HORA ANT. (AUT) (mB)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>TEMPERATURA MÁXIMA NA HORA ANT. (AUT) (°C)</th>\n",
+       "      <th>TEMPERATURA MÍNIMA NA HORA ANT. (AUT) (°C)</th>\n",
+       "      <th>TEMPERATURA ORVALHO MAX. NA HORA ANT. (AUT) (°C)</th>\n",
+       "      <th>TEMPERATURA ORVALHO MIN. NA HORA ANT. (AUT) (°C)</th>\n",
+       "      <th>UMIDADE REL. MAX. NA HORA ANT. (AUT) (%)</th>\n",
+       "      <th>UMIDADE REL. MIN. NA HORA ANT. (AUT) (%)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, RAJADA MAXIMA (m/s)</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
+       "      <th>Unnamed: 19</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>8779</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>1900 UTC</td>\n",
+       "      <td>,4</td>\n",
+       "      <td>972,6</td>\n",
+       "      <td>973,3</td>\n",
+       "      <td>972,6</td>\n",
+       "      <td>775,9</td>\n",
+       "      <td>23,1</td>\n",
+       "      <td>22,7</td>\n",
+       "      <td>23,3</td>\n",
+       "      <td>21,7</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>6,6</td>\n",
+       "      <td>1,2</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8780</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>2000 UTC</td>\n",
+       "      <td>0</td>\n",
+       "      <td>970,4</td>\n",
+       "      <td>972,6</td>\n",
+       "      <td>970,4</td>\n",
+       "      <td>837,8</td>\n",
+       "      <td>24,2</td>\n",
+       "      <td>22,7</td>\n",
+       "      <td>24,4</td>\n",
+       "      <td>23,1</td>\n",
+       "      <td>22,8</td>\n",
+       "      <td>22,1</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>355.0</td>\n",
+       "      <td>2,8</td>\n",
+       "      <td>,8</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8781</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>2100 UTC</td>\n",
+       "      <td>0</td>\n",
+       "      <td>970,7</td>\n",
+       "      <td>970,7</td>\n",
+       "      <td>970,1</td>\n",
+       "      <td>524,7</td>\n",
+       "      <td>24,9</td>\n",
+       "      <td>23</td>\n",
+       "      <td>24,9</td>\n",
+       "      <td>24,1</td>\n",
+       "      <td>23,3</td>\n",
+       "      <td>22,5</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>315.0</td>\n",
+       "      <td>4,2</td>\n",
+       "      <td>1,2</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8782</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>2200 UTC</td>\n",
+       "      <td>0</td>\n",
+       "      <td>972,4</td>\n",
+       "      <td>972,4</td>\n",
+       "      <td>970,7</td>\n",
+       "      <td>256,5</td>\n",
+       "      <td>24,2</td>\n",
+       "      <td>22,1</td>\n",
+       "      <td>25,1</td>\n",
+       "      <td>24,2</td>\n",
+       "      <td>23,1</td>\n",
+       "      <td>22,1</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>87.0</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>291.0</td>\n",
+       "      <td>4,8</td>\n",
+       "      <td>,9</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8783</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>2300 UTC</td>\n",
+       "      <td>0</td>\n",
+       "      <td>974,1</td>\n",
+       "      <td>974,1</td>\n",
+       "      <td>972,4</td>\n",
+       "      <td>9,6</td>\n",
+       "      <td>23,5</td>\n",
+       "      <td>22,5</td>\n",
+       "      <td>24,2</td>\n",
+       "      <td>23,4</td>\n",
+       "      <td>22,5</td>\n",
+       "      <td>22</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>3,9</td>\n",
+       "      <td>,9</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Data  Hora UTC PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "8779  2020/12/31  1900 UTC                               ,4   \n",
+       "8780  2020/12/31  2000 UTC                                0   \n",
+       "8781  2020/12/31  2100 UTC                                0   \n",
+       "8782  2020/12/31  2200 UTC                                0   \n",
+       "8783  2020/12/31  2300 UTC                                0   \n",
+       "\n",
+       "     PRESSAO ATMOSFERICA AO NIVEL DA ESTACAO, HORARIA (mB)  \\\n",
+       "8779                                              972,6      \n",
+       "8780                                              970,4      \n",
+       "8781                                              970,7      \n",
+       "8782                                              972,4      \n",
+       "8783                                              974,1      \n",
+       "\n",
+       "     PRESSÃO ATMOSFERICA MAX.NA HORA ANT. (AUT) (mB)  \\\n",
+       "8779                                           973,3   \n",
+       "8780                                           972,6   \n",
+       "8781                                           970,7   \n",
+       "8782                                           972,4   \n",
+       "8783                                           974,1   \n",
+       "\n",
+       "     PRESSÃO ATMOSFERICA MIN. NA HORA ANT. (AUT) (mB) RADIACAO GLOBAL (Kj/m²)  \\\n",
+       "8779                                            972,6                   775,9   \n",
+       "8780                                            970,4                   837,8   \n",
+       "8781                                            970,1                   524,7   \n",
+       "8782                                            970,7                   256,5   \n",
+       "8783                                            972,4                     9,6   \n",
+       "\n",
+       "     TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "8779                                         23,1   \n",
+       "8780                                         24,2   \n",
+       "8781                                         24,9   \n",
+       "8782                                         24,2   \n",
+       "8783                                         23,5   \n",
+       "\n",
+       "     TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "8779                                 22,7   \n",
+       "8780                                 22,7   \n",
+       "8781                                   23   \n",
+       "8782                                 22,1   \n",
+       "8783                                 22,5   \n",
+       "\n",
+       "     TEMPERATURA MÁXIMA NA HORA ANT. (AUT) (°C)  \\\n",
+       "8779                                       23,3   \n",
+       "8780                                       24,4   \n",
+       "8781                                       24,9   \n",
+       "8782                                       25,1   \n",
+       "8783                                       24,2   \n",
+       "\n",
+       "     TEMPERATURA MÍNIMA NA HORA ANT. (AUT) (°C)  \\\n",
+       "8779                                       21,7   \n",
+       "8780                                       23,1   \n",
+       "8781                                       24,1   \n",
+       "8782                                       24,2   \n",
+       "8783                                       23,4   \n",
+       "\n",
+       "     TEMPERATURA ORVALHO MAX. NA HORA ANT. (AUT) (°C)  \\\n",
+       "8779                                              NaN   \n",
+       "8780                                             22,8   \n",
+       "8781                                             23,3   \n",
+       "8782                                             23,1   \n",
+       "8783                                             22,5   \n",
+       "\n",
+       "     TEMPERATURA ORVALHO MIN. NA HORA ANT. (AUT) (°C)  \\\n",
+       "8779                                              NaN   \n",
+       "8780                                             22,1   \n",
+       "8781                                             22,5   \n",
+       "8782                                             22,1   \n",
+       "8783                                               22   \n",
+       "\n",
+       "      UMIDADE REL. MAX. NA HORA ANT. (AUT) (%)  \\\n",
+       "8779                                       NaN   \n",
+       "8780                                      97.0   \n",
+       "8781                                      93.0   \n",
+       "8782                                      89.0   \n",
+       "8783                                      94.0   \n",
+       "\n",
+       "      UMIDADE REL. MIN. NA HORA ANT. (AUT) (%)  \\\n",
+       "8779                                       NaN   \n",
+       "8780                                      89.0   \n",
+       "8781                                      89.0   \n",
+       "8782                                      87.0   \n",
+       "8783                                      88.0   \n",
+       "\n",
+       "      UMIDADE RELATIVA DO AR, HORARIA (%)  \\\n",
+       "8779                                 97.0   \n",
+       "8780                                 91.0   \n",
+       "8781                                 89.0   \n",
+       "8782                                 88.0   \n",
+       "8783                                 94.0   \n",
+       "\n",
+       "      VENTO, DIREÇÃO HORARIA (gr) (° (gr)) VENTO, RAJADA MAXIMA (m/s)  \\\n",
+       "8779                                  32.0                        6,6   \n",
+       "8780                                 355.0                        2,8   \n",
+       "8781                                 315.0                        4,2   \n",
+       "8782                                 291.0                        4,8   \n",
+       "8783                                 132.0                        3,9   \n",
+       "\n",
+       "     VENTO, VELOCIDADE HORARIA (m/s)  Unnamed: 19  \n",
+       "8779                             1,2          NaN  \n",
+       "8780                              ,8          NaN  \n",
+       "8781                             1,2          NaN  \n",
+       "8782                              ,9          NaN  \n",
+       "8783                              ,9          NaN  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.tail()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Data                                                      object\n",
+       "Hora UTC                                                  object\n",
+       "PRECIPITAÇÃO TOTAL, HORÁRIO (mm)                          object\n",
+       "PRESSAO ATMOSFERICA AO NIVEL DA ESTACAO, HORARIA (mB)     object\n",
+       "PRESSÃO ATMOSFERICA MAX.NA HORA ANT. (AUT) (mB)           object\n",
+       "PRESSÃO ATMOSFERICA MIN. NA HORA ANT. (AUT) (mB)          object\n",
+       "RADIACAO GLOBAL (Kj/m²)                                   object\n",
+       "TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)              object\n",
+       "TEMPERATURA DO PONTO DE ORVALHO (°C)                      object\n",
+       "TEMPERATURA MÁXIMA NA HORA ANT. (AUT) (°C)                object\n",
+       "TEMPERATURA MÍNIMA NA HORA ANT. (AUT) (°C)                object\n",
+       "TEMPERATURA ORVALHO MAX. NA HORA ANT. (AUT) (°C)          object\n",
+       "TEMPERATURA ORVALHO MIN. NA HORA ANT. (AUT) (°C)          object\n",
+       "UMIDADE REL. MAX. NA HORA ANT. (AUT) (%)                 float64\n",
+       "UMIDADE REL. MIN. NA HORA ANT. (AUT) (%)                 float64\n",
+       "UMIDADE RELATIVA DO AR, HORARIA (%)                      float64\n",
+       "VENTO, DIREÇÃO HORARIA (gr) (° (gr))                     float64\n",
+       "VENTO, RAJADA MAXIMA (m/s)                                object\n",
+       "VENTO, VELOCIDADE HORARIA (m/s)                           object\n",
+       "Unnamed: 19                                              float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "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>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>PRESSAO ATMOSFERICA AO NIVEL DA ESTACAO, HORARIA (mB)</th>\n",
+       "      <th>PRESSÃO ATMOSFERICA MAX.NA HORA ANT. (AUT) (mB)</th>\n",
+       "      <th>PRESSÃO ATMOSFERICA MIN. NA HORA ANT. (AUT) (mB)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>TEMPERATURA MÁXIMA NA HORA ANT. (AUT) (°C)</th>\n",
+       "      <th>TEMPERATURA MÍNIMA NA HORA ANT. (AUT) (°C)</th>\n",
+       "      <th>TEMPERATURA ORVALHO MAX. NA HORA ANT. (AUT) (°C)</th>\n",
+       "      <th>TEMPERATURA ORVALHO MIN. NA HORA ANT. (AUT) (°C)</th>\n",
+       "      <th>UMIDADE REL. MAX. NA HORA ANT. (AUT) (%)</th>\n",
+       "      <th>UMIDADE REL. MIN. NA HORA ANT. (AUT) (%)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, RAJADA MAXIMA (m/s)</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
+       "      <th>Unnamed: 19</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
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+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8779</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8780</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8781</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8782</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8783</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8784 rows × 20 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Data  Hora UTC  PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "0     False     False                             False   \n",
+       "1     False     False                             False   \n",
+       "2     False     False                             False   \n",
+       "3     False     False                             False   \n",
+       "4     False     False                             False   \n",
+       "...     ...       ...                               ...   \n",
+       "8779  False     False                             False   \n",
+       "8780  False     False                             False   \n",
+       "8781  False     False                             False   \n",
+       "8782  False     False                             False   \n",
+       "8783  False     False                             False   \n",
+       "\n",
+       "      PRESSAO ATMOSFERICA AO NIVEL DA ESTACAO, HORARIA (mB)  \\\n",
+       "0                                                 False       \n",
+       "1                                                 False       \n",
+       "2                                                 False       \n",
+       "3                                                 False       \n",
+       "4                                                 False       \n",
+       "...                                                 ...       \n",
+       "8779                                              False       \n",
+       "8780                                              False       \n",
+       "8781                                              False       \n",
+       "8782                                              False       \n",
+       "8783                                              False       \n",
+       "\n",
+       "      PRESSÃO ATMOSFERICA MAX.NA HORA ANT. (AUT) (mB)  \\\n",
+       "0                                               False   \n",
+       "1                                               False   \n",
+       "2                                               False   \n",
+       "3                                               False   \n",
+       "4                                               False   \n",
+       "...                                               ...   \n",
+       "8779                                            False   \n",
+       "8780                                            False   \n",
+       "8781                                            False   \n",
+       "8782                                            False   \n",
+       "8783                                            False   \n",
+       "\n",
+       "      PRESSÃO ATMOSFERICA MIN. NA HORA ANT. (AUT) (mB)  \\\n",
+       "0                                                False   \n",
+       "1                                                False   \n",
+       "2                                                False   \n",
+       "3                                                False   \n",
+       "4                                                False   \n",
+       "...                                                ...   \n",
+       "8779                                             False   \n",
+       "8780                                             False   \n",
+       "8781                                             False   \n",
+       "8782                                             False   \n",
+       "8783                                             False   \n",
+       "\n",
+       "      RADIACAO GLOBAL (Kj/m²)  TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "0                        True                                         False   \n",
+       "1                       False                                         False   \n",
+       "2                       False                                         False   \n",
+       "3                       False                                         False   \n",
+       "4                        True                                         False   \n",
+       "...                       ...                                           ...   \n",
+       "8779                    False                                         False   \n",
+       "8780                    False                                         False   \n",
+       "8781                    False                                         False   \n",
+       "8782                    False                                         False   \n",
+       "8783                    False                                         False   \n",
+       "\n",
+       "      TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "0                                    False   \n",
+       "1                                    False   \n",
+       "2                                    False   \n",
+       "3                                    False   \n",
+       "4                                    False   \n",
+       "...                                    ...   \n",
+       "8779                                 False   \n",
+       "8780                                 False   \n",
+       "8781                                 False   \n",
+       "8782                                 False   \n",
+       "8783                                 False   \n",
+       "\n",
+       "      TEMPERATURA MÁXIMA NA HORA ANT. (AUT) (°C)  \\\n",
+       "0                                          False   \n",
+       "1                                          False   \n",
+       "2                                          False   \n",
+       "3                                          False   \n",
+       "4                                          False   \n",
+       "...                                          ...   \n",
+       "8779                                       False   \n",
+       "8780                                       False   \n",
+       "8781                                       False   \n",
+       "8782                                       False   \n",
+       "8783                                       False   \n",
+       "\n",
+       "      TEMPERATURA MÍNIMA NA HORA ANT. (AUT) (°C)  \\\n",
+       "0                                          False   \n",
+       "1                                          False   \n",
+       "2                                          False   \n",
+       "3                                          False   \n",
+       "4                                          False   \n",
+       "...                                          ...   \n",
+       "8779                                       False   \n",
+       "8780                                       False   \n",
+       "8781                                       False   \n",
+       "8782                                       False   \n",
+       "8783                                       False   \n",
+       "\n",
+       "      TEMPERATURA ORVALHO MAX. NA HORA ANT. (AUT) (°C)  \\\n",
+       "0                                                False   \n",
+       "1                                                False   \n",
+       "2                                                False   \n",
+       "3                                                False   \n",
+       "4                                                False   \n",
+       "...                                                ...   \n",
+       "8779                                              True   \n",
+       "8780                                             False   \n",
+       "8781                                             False   \n",
+       "8782                                             False   \n",
+       "8783                                             False   \n",
+       "\n",
+       "      TEMPERATURA ORVALHO MIN. NA HORA ANT. (AUT) (°C)  \\\n",
+       "0                                                False   \n",
+       "1                                                False   \n",
+       "2                                                False   \n",
+       "3                                                False   \n",
+       "4                                                False   \n",
+       "...                                                ...   \n",
+       "8779                                              True   \n",
+       "8780                                             False   \n",
+       "8781                                             False   \n",
+       "8782                                             False   \n",
+       "8783                                             False   \n",
+       "\n",
+       "      UMIDADE REL. MAX. NA HORA ANT. (AUT) (%)  \\\n",
+       "0                                        False   \n",
+       "1                                        False   \n",
+       "2                                        False   \n",
+       "3                                        False   \n",
+       "4                                        False   \n",
+       "...                                        ...   \n",
+       "8779                                      True   \n",
+       "8780                                     False   \n",
+       "8781                                     False   \n",
+       "8782                                     False   \n",
+       "8783                                     False   \n",
+       "\n",
+       "      UMIDADE REL. MIN. NA HORA ANT. (AUT) (%)  \\\n",
+       "0                                        False   \n",
+       "1                                        False   \n",
+       "2                                        False   \n",
+       "3                                        False   \n",
+       "4                                        False   \n",
+       "...                                        ...   \n",
+       "8779                                      True   \n",
+       "8780                                     False   \n",
+       "8781                                     False   \n",
+       "8782                                     False   \n",
+       "8783                                     False   \n",
+       "\n",
+       "      UMIDADE RELATIVA DO AR, HORARIA (%)  \\\n",
+       "0                                   False   \n",
+       "1                                   False   \n",
+       "2                                   False   \n",
+       "3                                   False   \n",
+       "4                                   False   \n",
+       "...                                   ...   \n",
+       "8779                                False   \n",
+       "8780                                False   \n",
+       "8781                                False   \n",
+       "8782                                False   \n",
+       "8783                                False   \n",
+       "\n",
+       "      VENTO, DIREÇÃO HORARIA (gr) (° (gr))  VENTO, RAJADA MAXIMA (m/s)  \\\n",
+       "0                                    False                       False   \n",
+       "1                                    False                       False   \n",
+       "2                                    False                       False   \n",
+       "3                                    False                       False   \n",
+       "4                                    False                       False   \n",
+       "...                                    ...                         ...   \n",
+       "8779                                 False                       False   \n",
+       "8780                                 False                       False   \n",
+       "8781                                 False                       False   \n",
+       "8782                                 False                       False   \n",
+       "8783                                 False                       False   \n",
+       "\n",
+       "      VENTO, VELOCIDADE HORARIA (m/s)  Unnamed: 19  \n",
+       "0                               False         True  \n",
+       "1                               False         True  \n",
+       "2                               False         True  \n",
+       "3                               False         True  \n",
+       "4                               False         True  \n",
+       "...                               ...          ...  \n",
+       "8779                            False         True  \n",
+       "8780                            False         True  \n",
+       "8781                            False         True  \n",
+       "8782                            False         True  \n",
+       "8783                            False         True  \n",
+       "\n",
+       "[8784 rows x 20 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isnull()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = df[['Data','Hora UTC','PRECIPITAÇÃO TOTAL, HORÁRIO (mm)', 'TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)','TEMPERATURA DO PONTO DE ORVALHO (°C)','UMIDADE RELATIVA DO AR, HORARIA (%)', 'RADIACAO GLOBAL (Kj/m²)', 'VENTO, DIREÇÃO HORARIA (gr) (° (gr))' ,'VENTO, VELOCIDADE HORARIA (m/s)']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       0.965116\n",
+       "1       0.860465\n",
+       "2       0.860465\n",
+       "3       0.802326\n",
+       "4       0.872093\n",
+       "          ...   \n",
+       "8779    0.965116\n",
+       "8780    0.895349\n",
+       "8781    0.872093\n",
+       "8782    0.860465\n",
+       "8783    0.930233\n",
+       "Name: UMIDADE RELATIVA DO AR, HORARIA (%), Length: 8784, dtype: float64"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['UMIDADE RELATIVA DO AR, HORARIA (%)'] = (df['UMIDADE RELATIVA DO AR, HORARIA (%)'] - df['UMIDADE RELATIVA DO AR, HORARIA (%)'].min()) / (df['UMIDADE RELATIVA DO AR, HORARIA (%)'].max() - df['UMIDADE RELATIVA DO AR, HORARIA (%)'].min())\n",
+    "df['UMIDADE RELATIVA DO AR, HORARIA (%)']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "remover_nulo = df['RADIACAO GLOBAL (Kj/m²)'].dropna"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Data                                               0\n",
+       "Hora UTC                                           0\n",
+       "PRECIPITAÇÃO TOTAL, HORÁRIO (mm)                   6\n",
+       "TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)       6\n",
+       "TEMPERATURA DO PONTO DE ORVALHO (°C)             466\n",
+       "UMIDADE RELATIVA DO AR, HORARIA (%)              466\n",
+       "RADIACAO GLOBAL (Kj/m²)                         4049\n",
+       "VENTO, DIREÇÃO HORARIA (gr) (° (gr))               6\n",
+       "VENTO, VELOCIDADE HORARIA (m/s)                    6\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_5 = df.isnull().sum()\n",
+    "df_5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['PRECIPITAÇÃO TOTAL, HORÁRIO (mm)'] = pd.to_numeric(df['PRECIPITAÇÃO TOTAL, HORÁRIO (mm)'], errors='coerce')\n",
+    "df['TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)'] = pd.to_numeric(df['TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)'], errors='coerce')\n",
+    "df['TEMPERATURA DO PONTO DE ORVALHO (°C)'] = pd.to_numeric(df['TEMPERATURA DO PONTO DE ORVALHO (°C)'], errors='coerce')\n",
+    "df['RADIACAO GLOBAL (Kj/m²)'] = pd.to_numeric(df['RADIACAO GLOBAL (Kj/m²)'], errors='coerce')\n",
+    "df['VENTO, VELOCIDADE HORARIA (m/s)'] = pd.to_numeric(df['VENTO, VELOCIDADE HORARIA (m/s)'], errors='coerce')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(8784, 9)"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0000 UTC</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.965116</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0100 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0200 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>345.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0300 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.802326</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>332.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0400 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>316.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Data  Hora UTC  PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "0  2020/01/01  0000 UTC                               NaN   \n",
+       "1  2020/01/01  0100 UTC                               0.0   \n",
+       "2  2020/01/01  0200 UTC                               0.0   \n",
+       "3  2020/01/01  0300 UTC                               0.0   \n",
+       "4  2020/01/01  0400 UTC                               0.0   \n",
+       "\n",
+       "   TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "0                                           NaN   \n",
+       "1                                           NaN   \n",
+       "2                                          24.0   \n",
+       "3                                           NaN   \n",
+       "4                                           NaN   \n",
+       "\n",
+       "   TEMPERATURA DO PONTO DE ORVALHO (°C)  UMIDADE RELATIVA DO AR, HORARIA (%)  \\\n",
+       "0                                   NaN                             0.965116   \n",
+       "1                                   NaN                             0.860465   \n",
+       "2                                   NaN                             0.860465   \n",
+       "3                                   NaN                             0.802326   \n",
+       "4                                   NaN                             0.872093   \n",
+       "\n",
+       "   RADIACAO GLOBAL (Kj/m²)  VENTO, DIREÇÃO HORARIA (gr) (° (gr))  \\\n",
+       "0                      NaN                                  11.0   \n",
+       "1                      NaN                                  10.0   \n",
+       "2                      NaN                                 345.0   \n",
+       "3                      NaN                                 332.0   \n",
+       "4                      NaN                                 316.0   \n",
+       "\n",
+       "   VENTO, VELOCIDADE HORARIA (m/s)  \n",
+       "0                              NaN  \n",
+       "1                              NaN  \n",
+       "2                              NaN  \n",
+       "3                              NaN  \n",
+       "4                              NaN  "
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Data                                             object\n",
+       "Hora UTC                                         object\n",
+       "PRECIPITAÇÃO TOTAL, HORÁRIO (mm)                float64\n",
+       "TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)    float64\n",
+       "TEMPERATURA DO PONTO DE ORVALHO (°C)            float64\n",
+       "UMIDADE RELATIVA DO AR, HORARIA (%)             float64\n",
+       "RADIACAO GLOBAL (Kj/m²)                         float64\n",
+       "VENTO, DIREÇÃO HORARIA (gr) (° (gr))            float64\n",
+       "VENTO, VELOCIDADE HORARIA (m/s)                 float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# df = df.dropna() # remover linhas com valores nulos ou faltantes \n",
+    "df['PRECIPITAÇÃO TOTAL, HORÁRIO (mm)'] = df['PRECIPITAÇÃO TOTAL, HORÁRIO (mm)'].fillna(0)\n",
+    "df['TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)'] = df['TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)'].fillna(0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Data                                               0\n",
+       "Hora UTC                                           0\n",
+       "PRECIPITAÇÃO TOTAL, HORÁRIO (mm)                   0\n",
+       "TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)       0\n",
+       "TEMPERATURA DO PONTO DE ORVALHO (°C)            7934\n",
+       "UMIDADE RELATIVA DO AR, HORARIA (%)              466\n",
+       "RADIACAO GLOBAL (Kj/m²)                         8312\n",
+       "VENTO, DIREÇÃO HORARIA (gr) (° (gr))               6\n",
+       "VENTO, VELOCIDADE HORARIA (m/s)                 7207\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = df.fillna(0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "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>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0000 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.965116</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0100 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0200 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>345.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0300 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.802326</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>332.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0400 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>316.0</td>\n",
+       "      <td>0.0</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8779</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>1900 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.965116</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8780</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>2000 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.895349</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>355.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8781</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>2100 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>315.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8782</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>2200 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>291.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8783</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>2300 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.930233</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8784 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Data  Hora UTC  PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "0     2020/01/01  0000 UTC                               0.0   \n",
+       "1     2020/01/01  0100 UTC                               0.0   \n",
+       "2     2020/01/01  0200 UTC                               0.0   \n",
+       "3     2020/01/01  0300 UTC                               0.0   \n",
+       "4     2020/01/01  0400 UTC                               0.0   \n",
+       "...          ...       ...                               ...   \n",
+       "8779  2020/12/31  1900 UTC                               0.0   \n",
+       "8780  2020/12/31  2000 UTC                               0.0   \n",
+       "8781  2020/12/31  2100 UTC                               0.0   \n",
+       "8782  2020/12/31  2200 UTC                               0.0   \n",
+       "8783  2020/12/31  2300 UTC                               0.0   \n",
+       "\n",
+       "      TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "0                                              0.0   \n",
+       "1                                              0.0   \n",
+       "2                                             24.0   \n",
+       "3                                              0.0   \n",
+       "4                                              0.0   \n",
+       "...                                            ...   \n",
+       "8779                                           0.0   \n",
+       "8780                                           0.0   \n",
+       "8781                                           0.0   \n",
+       "8782                                           0.0   \n",
+       "8783                                           0.0   \n",
+       "\n",
+       "      TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "0                                      0.0   \n",
+       "1                                      0.0   \n",
+       "2                                      0.0   \n",
+       "3                                      0.0   \n",
+       "4                                      0.0   \n",
+       "...                                    ...   \n",
+       "8779                                   0.0   \n",
+       "8780                                   0.0   \n",
+       "8781                                  23.0   \n",
+       "8782                                   0.0   \n",
+       "8783                                   0.0   \n",
+       "\n",
+       "      UMIDADE RELATIVA DO AR, HORARIA (%)  RADIACAO GLOBAL (Kj/m²)  \\\n",
+       "0                                0.965116                      0.0   \n",
+       "1                                0.860465                      0.0   \n",
+       "2                                0.860465                      0.0   \n",
+       "3                                0.802326                      0.0   \n",
+       "4                                0.872093                      0.0   \n",
+       "...                                   ...                      ...   \n",
+       "8779                             0.965116                      0.0   \n",
+       "8780                             0.895349                      0.0   \n",
+       "8781                             0.872093                      0.0   \n",
+       "8782                             0.860465                      0.0   \n",
+       "8783                             0.930233                      0.0   \n",
+       "\n",
+       "      VENTO, DIREÇÃO HORARIA (gr) (° (gr))  VENTO, VELOCIDADE HORARIA (m/s)  \n",
+       "0                                     11.0                              0.0  \n",
+       "1                                     10.0                              0.0  \n",
+       "2                                    345.0                              0.0  \n",
+       "3                                    332.0                              0.0  \n",
+       "4                                    316.0                              0.0  \n",
+       "...                                    ...                              ...  \n",
+       "8779                                  32.0                              0.0  \n",
+       "8780                                 355.0                              0.0  \n",
+       "8781                                 315.0                              0.0  \n",
+       "8782                                 291.0                              0.0  \n",
+       "8783                                 132.0                              0.0  \n",
+       "\n",
+       "[8784 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# .fillna(df['PRECIPITAÇÃO TOTAL, HORÁRIO (mm)'].mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['UMIDADE RELATIVA DO AR, HORARIA (%)'] = (df['UMIDADE RELATIVA DO AR, HORARIA (%)'] - df['UMIDADE RELATIVA DO AR, HORARIA (%)'].min()) / (df['UMIDADE RELATIVA DO AR, HORARIA (%)'].max() - df['UMIDADE RELATIVA DO AR, HORARIA (%)'].min())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        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>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0000 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.965116</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0100 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0200 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>345.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0300 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.802326</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>332.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2020/01/01</td>\n",
+       "      <td>0400 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>316.0</td>\n",
+       "      <td>0.0</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8779</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>1900 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.965116</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8780</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>2000 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.895349</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>355.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8781</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>2100 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>315.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8782</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>2200 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>291.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8783</th>\n",
+       "      <td>2020/12/31</td>\n",
+       "      <td>2300 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.930233</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8784 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Data  Hora UTC  PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "0     2020/01/01  0000 UTC                               0.0   \n",
+       "1     2020/01/01  0100 UTC                               0.0   \n",
+       "2     2020/01/01  0200 UTC                               0.0   \n",
+       "3     2020/01/01  0300 UTC                               0.0   \n",
+       "4     2020/01/01  0400 UTC                               0.0   \n",
+       "...          ...       ...                               ...   \n",
+       "8779  2020/12/31  1900 UTC                               0.0   \n",
+       "8780  2020/12/31  2000 UTC                               0.0   \n",
+       "8781  2020/12/31  2100 UTC                               0.0   \n",
+       "8782  2020/12/31  2200 UTC                               0.0   \n",
+       "8783  2020/12/31  2300 UTC                               0.0   \n",
+       "\n",
+       "      TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "0                                              0.0   \n",
+       "1                                              0.0   \n",
+       "2                                             24.0   \n",
+       "3                                              0.0   \n",
+       "4                                              0.0   \n",
+       "...                                            ...   \n",
+       "8779                                           0.0   \n",
+       "8780                                           0.0   \n",
+       "8781                                           0.0   \n",
+       "8782                                           0.0   \n",
+       "8783                                           0.0   \n",
+       "\n",
+       "      TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "0                                      0.0   \n",
+       "1                                      0.0   \n",
+       "2                                      0.0   \n",
+       "3                                      0.0   \n",
+       "4                                      0.0   \n",
+       "...                                    ...   \n",
+       "8779                                   0.0   \n",
+       "8780                                   0.0   \n",
+       "8781                                  23.0   \n",
+       "8782                                   0.0   \n",
+       "8783                                   0.0   \n",
+       "\n",
+       "      UMIDADE RELATIVA DO AR, HORARIA (%)  RADIACAO GLOBAL (Kj/m²)  \\\n",
+       "0                                0.965116                      0.0   \n",
+       "1                                0.860465                      0.0   \n",
+       "2                                0.860465                      0.0   \n",
+       "3                                0.802326                      0.0   \n",
+       "4                                0.872093                      0.0   \n",
+       "...                                   ...                      ...   \n",
+       "8779                             0.965116                      0.0   \n",
+       "8780                             0.895349                      0.0   \n",
+       "8781                             0.872093                      0.0   \n",
+       "8782                             0.860465                      0.0   \n",
+       "8783                             0.930233                      0.0   \n",
+       "\n",
+       "      VENTO, DIREÇÃO HORARIA (gr) (° (gr))  VENTO, VELOCIDADE HORARIA (m/s)  \n",
+       "0                                     11.0                              0.0  \n",
+       "1                                     10.0                              0.0  \n",
+       "2                                    345.0                              0.0  \n",
+       "3                                    332.0                              0.0  \n",
+       "4                                    316.0                              0.0  \n",
+       "...                                    ...                              ...  \n",
+       "8779                                  32.0                              0.0  \n",
+       "8780                                 355.0                              0.0  \n",
+       "8781                                 315.0                              0.0  \n",
+       "8782                                 291.0                              0.0  \n",
+       "8783                                 132.0                              0.0  \n",
+       "\n",
+       "[8784 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Data'] = pd.to_datetime(df['Data'], format='%Y/%m/%d')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Data'] = df['Data'].dt.strftime('%d/%m/%Y')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
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+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>0000 UTC</td>\n",
+       "      <td>0.0</td>\n",
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+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>0100 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>0200 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>345.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>0300 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.802326</td>\n",
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+       "      <td>332.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>0400 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.872093</td>\n",
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+       "      <th>...</th>\n",
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+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "    <tr>\n",
+       "      <th>8779</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>1900 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.965116</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8780</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>2000 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.895349</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>355.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "    <tr>\n",
+       "      <th>8781</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>2100 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>315.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "    <tr>\n",
+       "      <th>8782</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>2200 UTC</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>291.0</td>\n",
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+       "      <th>8783</th>\n",
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+       "      <td>0.0</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8784 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Data  Hora UTC  PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "0     01/01/2020  0000 UTC                               0.0   \n",
+       "1     01/01/2020  0100 UTC                               0.0   \n",
+       "2     01/01/2020  0200 UTC                               0.0   \n",
+       "3     01/01/2020  0300 UTC                               0.0   \n",
+       "4     01/01/2020  0400 UTC                               0.0   \n",
+       "...          ...       ...                               ...   \n",
+       "8779  31/12/2020  1900 UTC                               0.0   \n",
+       "8780  31/12/2020  2000 UTC                               0.0   \n",
+       "8781  31/12/2020  2100 UTC                               0.0   \n",
+       "8782  31/12/2020  2200 UTC                               0.0   \n",
+       "8783  31/12/2020  2300 UTC                               0.0   \n",
+       "\n",
+       "      TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "0                                              0.0   \n",
+       "1                                              0.0   \n",
+       "2                                             24.0   \n",
+       "3                                              0.0   \n",
+       "4                                              0.0   \n",
+       "...                                            ...   \n",
+       "8779                                           0.0   \n",
+       "8780                                           0.0   \n",
+       "8781                                           0.0   \n",
+       "8782                                           0.0   \n",
+       "8783                                           0.0   \n",
+       "\n",
+       "      TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "0                                      0.0   \n",
+       "1                                      0.0   \n",
+       "2                                      0.0   \n",
+       "3                                      0.0   \n",
+       "4                                      0.0   \n",
+       "...                                    ...   \n",
+       "8779                                   0.0   \n",
+       "8780                                   0.0   \n",
+       "8781                                  23.0   \n",
+       "8782                                   0.0   \n",
+       "8783                                   0.0   \n",
+       "\n",
+       "      UMIDADE RELATIVA DO AR, HORARIA (%)  RADIACAO GLOBAL (Kj/m²)  \\\n",
+       "0                                0.965116                      0.0   \n",
+       "1                                0.860465                      0.0   \n",
+       "2                                0.860465                      0.0   \n",
+       "3                                0.802326                      0.0   \n",
+       "4                                0.872093                      0.0   \n",
+       "...                                   ...                      ...   \n",
+       "8779                             0.965116                      0.0   \n",
+       "8780                             0.895349                      0.0   \n",
+       "8781                             0.872093                      0.0   \n",
+       "8782                             0.860465                      0.0   \n",
+       "8783                             0.930233                      0.0   \n",
+       "\n",
+       "      VENTO, DIREÇÃO HORARIA (gr) (° (gr))  VENTO, VELOCIDADE HORARIA (m/s)  \n",
+       "0                                     11.0                              0.0  \n",
+       "1                                     10.0                              0.0  \n",
+       "2                                    345.0                              0.0  \n",
+       "3                                    332.0                              0.0  \n",
+       "4                                    316.0                              0.0  \n",
+       "...                                    ...                              ...  \n",
+       "8779                                  32.0                              0.0  \n",
+       "8780                                 355.0                              0.0  \n",
+       "8781                                 315.0                              0.0  \n",
+       "8782                                 291.0                              0.0  \n",
+       "8783                                 132.0                              0.0  \n",
+       "\n",
+       "[8784 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Hora UTC'] = pd.to_datetime(df['Hora UTC'], format='%H%M UTC', errors='coerce').dt.strftime('%H:%M')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
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+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>01:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>02:00</td>\n",
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+       "      <td>24.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>345.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>03:00</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>332.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <th>4</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>04:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>316.0</td>\n",
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+       "    <tr>\n",
+       "      <th>...</th>\n",
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+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
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+       "    <tr>\n",
+       "      <th>8779</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>19:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.965116</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "    <tr>\n",
+       "      <th>8780</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>20:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>355.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "    <tr>\n",
+       "      <th>8781</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>21:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>315.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8782</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>22:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>291.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "    <tr>\n",
+       "      <th>8783</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>23:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.930233</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8784 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Data Hora UTC  PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "0     01/01/2020    00:00                               0.0   \n",
+       "1     01/01/2020    01:00                               0.0   \n",
+       "2     01/01/2020    02:00                               0.0   \n",
+       "3     01/01/2020    03:00                               0.0   \n",
+       "4     01/01/2020    04:00                               0.0   \n",
+       "...          ...      ...                               ...   \n",
+       "8779  31/12/2020    19:00                               0.0   \n",
+       "8780  31/12/2020    20:00                               0.0   \n",
+       "8781  31/12/2020    21:00                               0.0   \n",
+       "8782  31/12/2020    22:00                               0.0   \n",
+       "8783  31/12/2020    23:00                               0.0   \n",
+       "\n",
+       "      TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "0                                              0.0   \n",
+       "1                                              0.0   \n",
+       "2                                             24.0   \n",
+       "3                                              0.0   \n",
+       "4                                              0.0   \n",
+       "...                                            ...   \n",
+       "8779                                           0.0   \n",
+       "8780                                           0.0   \n",
+       "8781                                           0.0   \n",
+       "8782                                           0.0   \n",
+       "8783                                           0.0   \n",
+       "\n",
+       "      TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "0                                      0.0   \n",
+       "1                                      0.0   \n",
+       "2                                      0.0   \n",
+       "3                                      0.0   \n",
+       "4                                      0.0   \n",
+       "...                                    ...   \n",
+       "8779                                   0.0   \n",
+       "8780                                   0.0   \n",
+       "8781                                  23.0   \n",
+       "8782                                   0.0   \n",
+       "8783                                   0.0   \n",
+       "\n",
+       "      UMIDADE RELATIVA DO AR, HORARIA (%)  RADIACAO GLOBAL (Kj/m²)  \\\n",
+       "0                                0.965116                      0.0   \n",
+       "1                                0.860465                      0.0   \n",
+       "2                                0.860465                      0.0   \n",
+       "3                                0.802326                      0.0   \n",
+       "4                                0.872093                      0.0   \n",
+       "...                                   ...                      ...   \n",
+       "8779                             0.965116                      0.0   \n",
+       "8780                             0.895349                      0.0   \n",
+       "8781                             0.872093                      0.0   \n",
+       "8782                             0.860465                      0.0   \n",
+       "8783                             0.930233                      0.0   \n",
+       "\n",
+       "      VENTO, DIREÇÃO HORARIA (gr) (° (gr))  VENTO, VELOCIDADE HORARIA (m/s)  \n",
+       "0                                     11.0                              0.0  \n",
+       "1                                     10.0                              0.0  \n",
+       "2                                    345.0                              0.0  \n",
+       "3                                    332.0                              0.0  \n",
+       "4                                    316.0                              0.0  \n",
+       "...                                    ...                              ...  \n",
+       "8779                                  32.0                              0.0  \n",
+       "8780                                 355.0                              0.0  \n",
+       "8781                                 315.0                              0.0  \n",
+       "8782                                 291.0                              0.0  \n",
+       "8783                                 132.0                              0.0  \n",
+       "\n",
+       "[8784 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Data e Hora'] = df['Data'] + ' ' + df['Hora UTC']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "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>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
+       "      <th>Data e Hora</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>01/01/2020</td>\n",
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+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>01:00</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>0.0</td>\n",
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+       "      <td>10.0</td>\n",
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+       "      <td>01/01/2020 01:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>02:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>345.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>01/01/2020 02:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>03:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>01/01/2020 03:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>01/01/2020</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>316.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>01/01/2020 04:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
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+       "    <tr>\n",
+       "      <th>8779</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>19:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.965116</td>\n",
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+       "    <tr>\n",
+       "      <th>8780</th>\n",
+       "      <td>31/12/2020</td>\n",
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+       "      <td>355.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>31/12/2020 20:00</td>\n",
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+       "      <td>31/12/2020</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>315.0</td>\n",
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+       "      <td>31/12/2020 21:00</td>\n",
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+       "      <th>8782</th>\n",
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+       "      <td>291.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "    <tr>\n",
+       "      <th>8783</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>23:00</td>\n",
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+       "      <td>0.0</td>\n",
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+       "      <td>132.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>31/12/2020 23:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8784 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Data Hora UTC  PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "0     01/01/2020    00:00                               0.0   \n",
+       "1     01/01/2020    01:00                               0.0   \n",
+       "2     01/01/2020    02:00                               0.0   \n",
+       "3     01/01/2020    03:00                               0.0   \n",
+       "4     01/01/2020    04:00                               0.0   \n",
+       "...          ...      ...                               ...   \n",
+       "8779  31/12/2020    19:00                               0.0   \n",
+       "8780  31/12/2020    20:00                               0.0   \n",
+       "8781  31/12/2020    21:00                               0.0   \n",
+       "8782  31/12/2020    22:00                               0.0   \n",
+       "8783  31/12/2020    23:00                               0.0   \n",
+       "\n",
+       "      TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "0                                              0.0   \n",
+       "1                                              0.0   \n",
+       "2                                             24.0   \n",
+       "3                                              0.0   \n",
+       "4                                              0.0   \n",
+       "...                                            ...   \n",
+       "8779                                           0.0   \n",
+       "8780                                           0.0   \n",
+       "8781                                           0.0   \n",
+       "8782                                           0.0   \n",
+       "8783                                           0.0   \n",
+       "\n",
+       "      TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "0                                      0.0   \n",
+       "1                                      0.0   \n",
+       "2                                      0.0   \n",
+       "3                                      0.0   \n",
+       "4                                      0.0   \n",
+       "...                                    ...   \n",
+       "8779                                   0.0   \n",
+       "8780                                   0.0   \n",
+       "8781                                  23.0   \n",
+       "8782                                   0.0   \n",
+       "8783                                   0.0   \n",
+       "\n",
+       "      UMIDADE RELATIVA DO AR, HORARIA (%)  RADIACAO GLOBAL (Kj/m²)  \\\n",
+       "0                                0.965116                      0.0   \n",
+       "1                                0.860465                      0.0   \n",
+       "2                                0.860465                      0.0   \n",
+       "3                                0.802326                      0.0   \n",
+       "4                                0.872093                      0.0   \n",
+       "...                                   ...                      ...   \n",
+       "8779                             0.965116                      0.0   \n",
+       "8780                             0.895349                      0.0   \n",
+       "8781                             0.872093                      0.0   \n",
+       "8782                             0.860465                      0.0   \n",
+       "8783                             0.930233                      0.0   \n",
+       "\n",
+       "      VENTO, DIREÇÃO HORARIA (gr) (° (gr))  VENTO, VELOCIDADE HORARIA (m/s)  \\\n",
+       "0                                     11.0                              0.0   \n",
+       "1                                     10.0                              0.0   \n",
+       "2                                    345.0                              0.0   \n",
+       "3                                    332.0                              0.0   \n",
+       "4                                    316.0                              0.0   \n",
+       "...                                    ...                              ...   \n",
+       "8779                                  32.0                              0.0   \n",
+       "8780                                 355.0                              0.0   \n",
+       "8781                                 315.0                              0.0   \n",
+       "8782                                 291.0                              0.0   \n",
+       "8783                                 132.0                              0.0   \n",
+       "\n",
+       "           Data e Hora  \n",
+       "0     01/01/2020 00:00  \n",
+       "1     01/01/2020 01:00  \n",
+       "2     01/01/2020 02:00  \n",
+       "3     01/01/2020 03:00  \n",
+       "4     01/01/2020 04:00  \n",
+       "...                ...  \n",
+       "8779  31/12/2020 19:00  \n",
+       "8780  31/12/2020 20:00  \n",
+       "8781  31/12/2020 21:00  \n",
+       "8782  31/12/2020 22:00  \n",
+       "8783  31/12/2020 23:00  \n",
+       "\n",
+       "[8784 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Data e Hora'] = pd.to_datetime(df['Data e Hora'], format='%d/%m/%Y %H:%M', errors='coerce')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
+       "      <th>Data e Hora</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
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+       "      <th>0</th>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 00:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>01:00</td>\n",
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+       "      <td>2020-01-01 01:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>02:00</td>\n",
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+       "      <td>24.0</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>0.0</td>\n",
+       "      <td>345.0</td>\n",
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+       "      <td>2020-01-01 02:00:00</td>\n",
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+       "    <tr>\n",
+       "      <th>3</th>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>04:00</td>\n",
+       "      <td>0.0</td>\n",
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+       "      <td>2020-01-01 04:00:00</td>\n",
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+       "      <th>8779</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>19:00</td>\n",
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+       "      <td>0.965116</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 19:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8780</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>20:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.895349</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>355.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 20:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8781</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>21:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>315.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 21:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8782</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>22:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>291.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 22:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8783</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>23:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.930233</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 23:00:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8784 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Data Hora UTC  PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "0     01/01/2020    00:00                               0.0   \n",
+       "1     01/01/2020    01:00                               0.0   \n",
+       "2     01/01/2020    02:00                               0.0   \n",
+       "3     01/01/2020    03:00                               0.0   \n",
+       "4     01/01/2020    04:00                               0.0   \n",
+       "...          ...      ...                               ...   \n",
+       "8779  31/12/2020    19:00                               0.0   \n",
+       "8780  31/12/2020    20:00                               0.0   \n",
+       "8781  31/12/2020    21:00                               0.0   \n",
+       "8782  31/12/2020    22:00                               0.0   \n",
+       "8783  31/12/2020    23:00                               0.0   \n",
+       "\n",
+       "      TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "0                                              0.0   \n",
+       "1                                              0.0   \n",
+       "2                                             24.0   \n",
+       "3                                              0.0   \n",
+       "4                                              0.0   \n",
+       "...                                            ...   \n",
+       "8779                                           0.0   \n",
+       "8780                                           0.0   \n",
+       "8781                                           0.0   \n",
+       "8782                                           0.0   \n",
+       "8783                                           0.0   \n",
+       "\n",
+       "      TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "0                                      0.0   \n",
+       "1                                      0.0   \n",
+       "2                                      0.0   \n",
+       "3                                      0.0   \n",
+       "4                                      0.0   \n",
+       "...                                    ...   \n",
+       "8779                                   0.0   \n",
+       "8780                                   0.0   \n",
+       "8781                                  23.0   \n",
+       "8782                                   0.0   \n",
+       "8783                                   0.0   \n",
+       "\n",
+       "      UMIDADE RELATIVA DO AR, HORARIA (%)  RADIACAO GLOBAL (Kj/m²)  \\\n",
+       "0                                0.965116                      0.0   \n",
+       "1                                0.860465                      0.0   \n",
+       "2                                0.860465                      0.0   \n",
+       "3                                0.802326                      0.0   \n",
+       "4                                0.872093                      0.0   \n",
+       "...                                   ...                      ...   \n",
+       "8779                             0.965116                      0.0   \n",
+       "8780                             0.895349                      0.0   \n",
+       "8781                             0.872093                      0.0   \n",
+       "8782                             0.860465                      0.0   \n",
+       "8783                             0.930233                      0.0   \n",
+       "\n",
+       "      VENTO, DIREÇÃO HORARIA (gr) (° (gr))  VENTO, VELOCIDADE HORARIA (m/s)  \\\n",
+       "0                                     11.0                              0.0   \n",
+       "1                                     10.0                              0.0   \n",
+       "2                                    345.0                              0.0   \n",
+       "3                                    332.0                              0.0   \n",
+       "4                                    316.0                              0.0   \n",
+       "...                                    ...                              ...   \n",
+       "8779                                  32.0                              0.0   \n",
+       "8780                                 355.0                              0.0   \n",
+       "8781                                 315.0                              0.0   \n",
+       "8782                                 291.0                              0.0   \n",
+       "8783                                 132.0                              0.0   \n",
+       "\n",
+       "             Data e Hora  \n",
+       "0    2020-01-01 00:00:00  \n",
+       "1    2020-01-01 01:00:00  \n",
+       "2    2020-01-01 02:00:00  \n",
+       "3    2020-01-01 03:00:00  \n",
+       "4    2020-01-01 04:00:00  \n",
+       "...                  ...  \n",
+       "8779 2020-12-31 19:00:00  \n",
+       "8780 2020-12-31 20:00:00  \n",
+       "8781 2020-12-31 21:00:00  \n",
+       "8782 2020-12-31 22:00:00  \n",
+       "8783 2020-12-31 23:00:00  \n",
+       "\n",
+       "[8784 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Data e Hora BR'] = df['Data e Hora'].dt.tz_localize('UTC').dt.tz_convert('America/Sao_Paulo')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
+       "      <th>Data e Hora</th>\n",
+       "      <th>Data e Hora BR</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>00:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.965116</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 00:00:00</td>\n",
+       "      <td>2019-12-31 21:00:00-03:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>01:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 01:00:00</td>\n",
+       "      <td>2019-12-31 22:00:00-03:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>02:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>345.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 02:00:00</td>\n",
+       "      <td>2019-12-31 23:00:00-03:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>03:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.802326</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>332.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 03:00:00</td>\n",
+       "      <td>2020-01-01 00:00:00-03:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>04:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>316.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 04:00:00</td>\n",
+       "      <td>2020-01-01 01:00:00-03:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8779</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>19:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.965116</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 19:00:00</td>\n",
+       "      <td>2020-12-31 16:00:00-03:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8780</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>20:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.895349</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>355.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 20:00:00</td>\n",
+       "      <td>2020-12-31 17:00:00-03:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8781</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>21:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>315.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 21:00:00</td>\n",
+       "      <td>2020-12-31 18:00:00-03:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8782</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>22:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>291.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 22:00:00</td>\n",
+       "      <td>2020-12-31 19:00:00-03:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8783</th>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>23:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.930233</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 23:00:00</td>\n",
+       "      <td>2020-12-31 20:00:00-03:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8784 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            Data Hora UTC  PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "0     01/01/2020    00:00                               0.0   \n",
+       "1     01/01/2020    01:00                               0.0   \n",
+       "2     01/01/2020    02:00                               0.0   \n",
+       "3     01/01/2020    03:00                               0.0   \n",
+       "4     01/01/2020    04:00                               0.0   \n",
+       "...          ...      ...                               ...   \n",
+       "8779  31/12/2020    19:00                               0.0   \n",
+       "8780  31/12/2020    20:00                               0.0   \n",
+       "8781  31/12/2020    21:00                               0.0   \n",
+       "8782  31/12/2020    22:00                               0.0   \n",
+       "8783  31/12/2020    23:00                               0.0   \n",
+       "\n",
+       "      TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "0                                              0.0   \n",
+       "1                                              0.0   \n",
+       "2                                             24.0   \n",
+       "3                                              0.0   \n",
+       "4                                              0.0   \n",
+       "...                                            ...   \n",
+       "8779                                           0.0   \n",
+       "8780                                           0.0   \n",
+       "8781                                           0.0   \n",
+       "8782                                           0.0   \n",
+       "8783                                           0.0   \n",
+       "\n",
+       "      TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "0                                      0.0   \n",
+       "1                                      0.0   \n",
+       "2                                      0.0   \n",
+       "3                                      0.0   \n",
+       "4                                      0.0   \n",
+       "...                                    ...   \n",
+       "8779                                   0.0   \n",
+       "8780                                   0.0   \n",
+       "8781                                  23.0   \n",
+       "8782                                   0.0   \n",
+       "8783                                   0.0   \n",
+       "\n",
+       "      UMIDADE RELATIVA DO AR, HORARIA (%)  RADIACAO GLOBAL (Kj/m²)  \\\n",
+       "0                                0.965116                      0.0   \n",
+       "1                                0.860465                      0.0   \n",
+       "2                                0.860465                      0.0   \n",
+       "3                                0.802326                      0.0   \n",
+       "4                                0.872093                      0.0   \n",
+       "...                                   ...                      ...   \n",
+       "8779                             0.965116                      0.0   \n",
+       "8780                             0.895349                      0.0   \n",
+       "8781                             0.872093                      0.0   \n",
+       "8782                             0.860465                      0.0   \n",
+       "8783                             0.930233                      0.0   \n",
+       "\n",
+       "      VENTO, DIREÇÃO HORARIA (gr) (° (gr))  VENTO, VELOCIDADE HORARIA (m/s)  \\\n",
+       "0                                     11.0                              0.0   \n",
+       "1                                     10.0                              0.0   \n",
+       "2                                    345.0                              0.0   \n",
+       "3                                    332.0                              0.0   \n",
+       "4                                    316.0                              0.0   \n",
+       "...                                    ...                              ...   \n",
+       "8779                                  32.0                              0.0   \n",
+       "8780                                 355.0                              0.0   \n",
+       "8781                                 315.0                              0.0   \n",
+       "8782                                 291.0                              0.0   \n",
+       "8783                                 132.0                              0.0   \n",
+       "\n",
+       "             Data e Hora            Data e Hora BR  \n",
+       "0    2020-01-01 00:00:00 2019-12-31 21:00:00-03:00  \n",
+       "1    2020-01-01 01:00:00 2019-12-31 22:00:00-03:00  \n",
+       "2    2020-01-01 02:00:00 2019-12-31 23:00:00-03:00  \n",
+       "3    2020-01-01 03:00:00 2020-01-01 00:00:00-03:00  \n",
+       "4    2020-01-01 04:00:00 2020-01-01 01:00:00-03:00  \n",
+       "...                  ...                       ...  \n",
+       "8779 2020-12-31 19:00:00 2020-12-31 16:00:00-03:00  \n",
+       "8780 2020-12-31 20:00:00 2020-12-31 17:00:00-03:00  \n",
+       "8781 2020-12-31 21:00:00 2020-12-31 18:00:00-03:00  \n",
+       "8782 2020-12-31 22:00:00 2020-12-31 19:00:00-03:00  \n",
+       "8783 2020-12-31 23:00:00 2020-12-31 20:00:00-03:00  \n",
+       "\n",
+       "[8784 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Data e Hora BR'] = df['Data e Hora BR'].dt.strftime('%d/%m/%Y %H:%M')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
+       "      <th>Data e Hora</th>\n",
+       "      <th>Data e Hora BR</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>00:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.965116</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 00:00:00</td>\n",
+       "      <td>31/12/2019 21:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>01:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 01:00:00</td>\n",
+       "      <td>31/12/2019 22:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>02:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>345.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 02:00:00</td>\n",
+       "      <td>31/12/2019 23:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>03:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.802326</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>332.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 03:00:00</td>\n",
+       "      <td>01/01/2020 00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>04:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>316.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 04:00:00</td>\n",
+       "      <td>01/01/2020 01:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Data Hora UTC  PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "0  01/01/2020    00:00                               0.0   \n",
+       "1  01/01/2020    01:00                               0.0   \n",
+       "2  01/01/2020    02:00                               0.0   \n",
+       "3  01/01/2020    03:00                               0.0   \n",
+       "4  01/01/2020    04:00                               0.0   \n",
+       "\n",
+       "   TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "0                                           0.0   \n",
+       "1                                           0.0   \n",
+       "2                                          24.0   \n",
+       "3                                           0.0   \n",
+       "4                                           0.0   \n",
+       "\n",
+       "   TEMPERATURA DO PONTO DE ORVALHO (°C)  UMIDADE RELATIVA DO AR, HORARIA (%)  \\\n",
+       "0                                   0.0                             0.965116   \n",
+       "1                                   0.0                             0.860465   \n",
+       "2                                   0.0                             0.860465   \n",
+       "3                                   0.0                             0.802326   \n",
+       "4                                   0.0                             0.872093   \n",
+       "\n",
+       "   RADIACAO GLOBAL (Kj/m²)  VENTO, DIREÇÃO HORARIA (gr) (° (gr))  \\\n",
+       "0                      0.0                                  11.0   \n",
+       "1                      0.0                                  10.0   \n",
+       "2                      0.0                                 345.0   \n",
+       "3                      0.0                                 332.0   \n",
+       "4                      0.0                                 316.0   \n",
+       "\n",
+       "   VENTO, VELOCIDADE HORARIA (m/s)         Data e Hora    Data e Hora BR  \n",
+       "0                              0.0 2020-01-01 00:00:00  31/12/2019 21:00  \n",
+       "1                              0.0 2020-01-01 01:00:00  31/12/2019 22:00  \n",
+       "2                              0.0 2020-01-01 02:00:00  31/12/2019 23:00  \n",
+       "3                              0.0 2020-01-01 03:00:00  01/01/2020 00:00  \n",
+       "4                              0.0 2020-01-01 04:00:00  01/01/2020 01:00  "
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Análise de Dados"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "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>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
+       "      <th>Data e Hora</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>8784.000000</td>\n",
+       "      <td>8784.000000</td>\n",
+       "      <td>8784.000000</td>\n",
+       "      <td>8784.000000</td>\n",
+       "      <td>8784.000000</td>\n",
+       "      <td>8784.000000</td>\n",
+       "      <td>8784.000000</td>\n",
+       "      <td>8784</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>0.030282</td>\n",
+       "      <td>2.411658</td>\n",
+       "      <td>1.539276</td>\n",
+       "      <td>0.581573</td>\n",
+       "      <td>76.901298</td>\n",
+       "      <td>184.889458</td>\n",
+       "      <td>0.203097</td>\n",
+       "      <td>2020-07-01 23:30:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2020-01-01 00:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.406977</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>133.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2020-04-01 11:45:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.616279</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>171.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2020-07-01 23:30:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.790698</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>254.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2020-10-01 11:15:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>40.000000</td>\n",
+       "      <td>40.000000</td>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3886.000000</td>\n",
+       "      <td>360.000000</td>\n",
+       "      <td>8.000000</td>\n",
+       "      <td>2020-12-31 23:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.694142</td>\n",
+       "      <td>7.291506</td>\n",
+       "      <td>4.889004</td>\n",
+       "      <td>0.259652</td>\n",
+       "      <td>414.224311</td>\n",
+       "      <td>81.784719</td>\n",
+       "      <td>0.753577</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "count                       8784.000000   \n",
+       "mean                           0.030282   \n",
+       "min                            0.000000   \n",
+       "25%                            0.000000   \n",
+       "50%                            0.000000   \n",
+       "75%                            0.000000   \n",
+       "max                           40.000000   \n",
+       "std                            0.694142   \n",
+       "\n",
+       "       TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "count                                   8784.000000   \n",
+       "mean                                       2.411658   \n",
+       "min                                        0.000000   \n",
+       "25%                                        0.000000   \n",
+       "50%                                        0.000000   \n",
+       "75%                                        0.000000   \n",
+       "max                                       40.000000   \n",
+       "std                                        7.291506   \n",
+       "\n",
+       "       TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "count                           8784.000000   \n",
+       "mean                               1.539276   \n",
+       "min                                0.000000   \n",
+       "25%                                0.000000   \n",
+       "50%                                0.000000   \n",
+       "75%                                0.000000   \n",
+       "max                               25.000000   \n",
+       "std                                4.889004   \n",
+       "\n",
+       "       UMIDADE RELATIVA DO AR, HORARIA (%)  RADIACAO GLOBAL (Kj/m²)  \\\n",
+       "count                          8784.000000              8784.000000   \n",
+       "mean                              0.581573                76.901298   \n",
+       "min                               0.000000                 0.000000   \n",
+       "25%                               0.406977                 0.000000   \n",
+       "50%                               0.616279                 0.000000   \n",
+       "75%                               0.790698                 0.000000   \n",
+       "max                               1.000000              3886.000000   \n",
+       "std                               0.259652               414.224311   \n",
+       "\n",
+       "       VENTO, DIREÇÃO HORARIA (gr) (° (gr))  VENTO, VELOCIDADE HORARIA (m/s)  \\\n",
+       "count                           8784.000000                      8784.000000   \n",
+       "mean                             184.889458                         0.203097   \n",
+       "min                                0.000000                         0.000000   \n",
+       "25%                              133.000000                         0.000000   \n",
+       "50%                              171.000000                         0.000000   \n",
+       "75%                              254.000000                         0.000000   \n",
+       "max                              360.000000                         8.000000   \n",
+       "std                               81.784719                         0.753577   \n",
+       "\n",
+       "               Data e Hora  \n",
+       "count                 8784  \n",
+       "mean   2020-07-01 23:30:00  \n",
+       "min    2020-01-01 00:00:00  \n",
+       "25%    2020-04-01 11:45:00  \n",
+       "50%    2020-07-01 23:30:00  \n",
+       "75%    2020-10-01 11:15:00  \n",
+       "max    2020-12-31 23:00:00  \n",
+       "std                    NaN  "
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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zzxW2/eDBg7Fw4UIkJyfDxcUFR48exdChQ2XdoKXLDx8+XKFti1T9+vVVlmXy5Mn4/PPPcfjwYZw5cwazZs3C4sWLcfHiRTRq1Eirz0M+bRSsEF5r0qQJAPaxBABUrVoVDMOgcuXKRh2Js2rVqggPD0enTp00jvMhFArRqVMndOrUCStWrMCiRYvwv//9D5cuXULnzp11zrtKlSoA2AubPuvrIyoqSmFaZGSkrLFjxYoVAQDPnj1TWO7p06fw8PDQ2DU5NTUVFy5cwLx58zB79my1eavSokULtGjRAgsXLsSuXbswbNgw7NmzB19//bXS5aXljoqKkm1XgK0ZKFzDtH//fnTo0EFhoLS0tDR4eHhwpjk5OWHw4MEYPHgw8vLy0L9/fyxcuBABAQEauw0PGzYMGzZsQFBQEKKjoyEQCDB06FDZ/AMHDsDe3h5nzpzhdHHeunWr2nQ1CQoKwqhRo7BgwQLZtJycHKSkpCgsO3jwYMybNw8HDhyAl5cXMjIyMGTIENl8T09PuLi4QCwW632MVq1aFdOmTcO0adMQFRWFhg0bYvny5dixY4de6ZFPCz0GIrxw6dIlpTUA0rYR0scR/fv3h5WVFebNm6ewPMMwCl1itTVo0CC8ffsWmzdvVpiXk5Mje+Sh7ETfsGFDAND4iEKV0qVLo3379ti4caMsKJP37t07vdJV5/Dhw5x2MLdv38atW7fQvXt3AECZMmXQsGFDbN++HWlpabLlIiIicPbsWfTo0UNjHtJansL7adWqVRrXTU1NVVhPm+3cuXNn2NjYYPXq1Zz1leVpZWWlkMe+ffsU2gcVPqZsbW1Ru3ZtMAyjVXuaVq1aoVKlStixYweCgoLQrl07lC9fnlMOgUAAsVgsm/bq1StZDzR9CQQChfKtWrVKaY1WrVq1UK9ePQQFBSEoKAhlypRB27ZtOWUcMGAADhw4oLSLu7pjNDs7GyKRiDOtatWqcHFx0fs7Qz49VLNCeGHixInIzs5Gv3794Ovri7y8PNy8eRNBQUGoVKmS7Ll41apVsWDBAgQEBODVq1fo27cvXFxcEB0djUOHDuHbb7/FTz/9pHP+X331Ffbu3Ytx48bh0qVLaNWqFcRiMZ4+fYq9e/fizJkzaNKkCebPn4+rV6+iZ8+eqFixIpKSkrBu3TqUL19eNraIPtauXYvWrVujXr16+Oabb1ClShUkJiYiODgYb968UTr2hyGqVauG1q1b4/vvv0dubi5WrVqFUqVKYfr06bJlli1bhu7du8PPzw9jx46VdV12c3PTajA7V1dXWfuE/Px8lCtXDmfPnkV0dLTGdbdv345169ahX79+qFq1KjIzM7F582a4urqqDZQ8PT3x008/YfHixejVqxd69OiB+/fv49SpUwq1Jb169cL8+fMxevRotGzZEg8fPsTOnTs5NTIA0LVrV3h7e6NVq1bw8vLCkydPsGbNGvTs2RMuLi4aP4tAIMCXX36JRYsWAQDmz5/Pmd+zZ0+sWLEC3bp1w5dffomkpCSsXbsW1apV44x8rKuePXtix44dcHd3R61atXDz5k1cunRJYTtIDR48GLNnz4a9vT3Gjh0ra3wstWTJEly6dAnNmzfHN998g9q1ayMlJQX37t3D+fPnlQbyAFtj16lTJwwaNAi1a9eGtbU1Dh06hMTERE7tDSFqWaAHEiEKTp06xYwZM4bx9fVlnJ2dGVtbW6ZatWrMxIkTmcTERIXlDxw4wLRu3ZpxcnJinJycGF9fX2b8+PHMs2fPZMu0a9dOZZfTwl2XGYbtLrp06VKmTp06jJ2dHVOiRAmmcePGzLx582RdTy9cuMD06dOHKVu2LGNra8uULVuWGTp0KBMZGan1Z1XWdZlhGObFixfMiBEjGG9vb8bGxoYpV64c06tXL2b//v2yZaRdfAt36ZV2Hy7cpXrkyJGMk5OT7H9pt9Jly5Yxy5cvZ3x8fBg7OzumTZs2THh4uEJZz58/z7Rq1YpxcHBgXF1dmc8//5x5/PixVnkzDMO8efOG6devH+Pu7s64ubkxX3zxBRMXF6fw+Qt3Xb537x4zdOhQpkKFCoydnR1TunRpplevXszdu3fVbluGYRixWMzMmzePKVOmDOPg4MC0b9+eiYiIYCpWrKjQdXnatGmy5Vq1asUEBwcrHBsbN25k2rZty5QqVYqxs7Njqlatyvz888+c7siaPHr0iAHA2NnZMampqQrzAwMDmerVqzN2dnaMr68vs3XrVtl2lQeAGT9+vNI8Cm/TlJQUZuTIkYyHhwfj7OzM9OjRg4mMjFTYDlJRUVEMAAYAc/36daV5JCYmMuPHj2d8fHwYGxsbxtvbm+nUqROzadMm2TKFuy4nJycz48ePZ3x9fRknJyfGzc2Nad68ObN37171G40QOTTcPiGfkFevXqFy5cpYtmyZXjVQhBBiCdRmhRBCCCG8RsEKIYQQQniNghVCCCGE8Bq1WSGEEEIIr1HNCiGEEEJ4jYIVQgghhPAaBSuEEEII4TUKVgghhBDCaxSsEEIIIYTXKFghhBBCCK9RsEIIIYQQXqNghRBCCCG8RsEKIYQQQniNghVCCCGE8BoFK4QQQgjhNQpWCCGEEMJrFKwQQgghhNcoWCGEEEIIr1GwQgghhBBeo2CFEEIIIbxGwQohhBBCeI2CFUIIIYTwGgUrhBBCCOE1ClYIIYQQwmsUrBBCCCGE1yhYIYQQQgivUbBCCCGEEF6jYIUQQgghvEbBCiGEEEJ4jYIVQgghhPAaBSuEEEII4TVrSxfAUBKJBHFxcXBxcYFAILB0cQghhBCiBYZhkJmZibJly0IoVF93UuSDlbi4OPj4+Fi6GIQQQgjRQ2xsLMqXL692GbMGK0uWLEFAQAAmTZqEVatWAQBEIhGmTZuGPXv2IDc3F/7+/li3bh28vLy0StPFxQUA+2FdXV1NVXRCCCGEGFFGRgZ8fHxk13F1zBas3LlzBxs3bkT9+vU506dMmYITJ05g3759cHNzw4QJE9C/f3/cuHFDq3Slj35cXV0pWCGEEEKKGG2acJilge2HDx8wbNgwbN68GSVKlJBNT09PR2BgIFasWIGOHTuicePG2Lp1K27evImQkBBzFI0QQgghPGeWYGX8+PHo2bMnOnfuzJkeGhqK/Px8znRfX19UqFABwcHBStPKzc1FRkYG54eot/VGNNotu4Q3qdmWLgohhBCiM5MHK3v27MG9e/ewePFihXkJCQmwtbWFu7s7Z7qXlxcSEhKUprd48WK4ubnJfqhxrWbzjj3G6/fZWHzyqaWLQgghhOjMpG1WYmNjMWnSJJw7dw729vZGSTMgIABTp06V/S9toEM0yxdLLF0EooZYLEZ+fr6li0EIIUZja2ursVuyNkwarISGhiIpKQmfffaZbJpYLMbVq1exZs0anDlzBnl5eUhLS+PUriQmJsLb21tpmnZ2drCzszNlsQkxK4ZhkJCQgLS0NEsXhRBCjEooFKJy5cqwtbU1KB2TBiudOnXCw4cPOdNGjx4NX19fzJgxAz4+PrCxscGFCxcwYMAAAMCzZ88QExMDPz8/UxaNEN6QBiqlS5eGo6MjDW5ICCkWpIO2xsfHo0KFCgad20warLi4uKBu3bqcaU5OTihVqpRs+tixYzF16lSULFkSrq6umDhxIvz8/NCiRQtTFo0QXhCLxbJApVSpUpYuDiGEGJWnpyfi4uJQUFAAGxsbvdOx+Ai2K1euhFAoxIABAziDwhHyKZC2UXF0dLRwSQghxPikj3/EYnHRClYuX77M+d/e3h5r167F2rVrzV0UQniDHv0QQoojY53b6K3LhBBCCOE1ClYIIcQCkpKS4O/vD19fX9SvXx99+vShQS6LgGXLlqFXr17Izc21dFE+KRZvs0IIIZ+i0qVL48yZM5YuBtFBamoqhEIhDh48aHBXXKIbqlkhhBBCtFCiRAlMmzaNd4FK27ZtsWvXLrPnm5eXh0qVKuHu3bsmz4uCFUKIXkaNGgWBQACBQABbW1tUq1YN8+fPR0FBAQC2Mb10vkAggKenJ3r06KEw9pJ8OvI/3bp14yx3//59fPHFF/Dy8oK9vT2qV6+Ob775BpGRkQCAV69eQSAQICwsjPO/9KdUqVLo2rUr7t+/L0uzffv2mDx5ssKyyn62bdsGAMjJyUHJkiXh4eGh8lHAgQMH0L59e7i5ucHZ2Rn169fH/PnzkZKSwlkuKysL7u7uKF26tMrRi7dv346mTZvC0dERLi4uaNeuHY4fP65yvxTe7sp+pB0dcnJyMGfOHNSoUQN2dnbw8PDAF198gUePHsnSq1Spktq0Ro0aJVvW398fVlZWuHPnjkK5Ro0ahb59+6ostyaF96886X6U9+jRIwwaNAienp6ws7NDjRo1MHv2bGRnc9+RJv/5HB0dUa9ePfz9999Ky7B7925YWVlh/PjxCvN0Od4Lb4fY2FiMGTMGZcuWha2tLSpWrIhJkybh/fv3GrfL0aNHkZiYiCFDhmhc1thsbW3x008/YcaMGSbPi4IVQojeunXrhvj4eERFRWHatGmYO3culi1bxlnm2bNniI+Px5kzZ5Cbm4uePXsiLy9PaTryP7t375bNP378OFq0aIHc3Fzs3LkTT548wY4dO+Dm5oZZs2apLeP58+dl+X/48AHdu3dXGC3Yx8eHk/e0adNQp04dzrTBgwcDYAOROnXqwNfXF4cPH1bI73//+x8GDx6Mpk2b4tSpU4iIiMDy5csRHh6Of//9l7Psvn370LRpU1SoUAFHjx5VSOunn37Cd999h8GDB+PBgwe4ffs2WrdujT59+mDNmjVKP2/Lli055R40aJDC9m3ZsiVyc3PRuXNnbNmyBQsWLEBkZCROnjyJgoICNG/eXPbm+zt37sjWO3DgAGefxsfH488//wQAxMTE4ObNm5gwYQK2bNmidp+YWkhICJo3b468vDycOHECkZGRWLhwIbZt24YuXbooHH/z589HfHw8IiIiMHz4cHzzzTc4deqUQrqBgYGYPn06du/eDZFIpDRvbY53eS9fvkSTJk0QFRWF3bt34/nz59iwYQMuXLgAPz8/hQC3sL/++gujR482ypD2+hg2bBiuX7/OCXBNgini0tPTGQBMenq6pYvCWxVnHGcqzjjOfLP9jqWLQgrJyclhHj9+zOTk5Fi6KDobOXIk06dPH860Ll26MC1atGAYhmEuXbrEAGBSU1Nl848ePcoAYMLDw9WmIy8rK4vx8PBg+vbtq3S+NP3o6GgGAHP//n2l/zMMw9y4cYMBwJw+fZphGIZp164dM2nSJIU058yZwzRo0EBpfu3bt2c2bNjArF+/nunSpQtn3q1btxgAzKpVq9SWVapNmzbM1q1bmZUrVzI9evTgzAsODmYAMH/99ZdCOlOnTmVsbGyYmJgYpfnIU7V9lyxZwggEAiYsLIwzXSwWM02aNGFq167NSCQSzjxl+1Rq7ty5zJAhQ5gnT54wbm5uTHZ2tlbl0Jay/Sklvx8lEglTu3ZtpkmTJoxYLOYsFxYWxggEAmbJkiWyaRUrVmRWrlzJWa5kyZLMlClTONNevnzJODg4MGlpaUzz5s2ZnTt3cubre7x369aNKV++vML2io+PZxwdHZlx48ap2iRMUlISIxAImIiICM50AMyGDRuYnj17Mg4ODoyvry9z8+ZNJioqimnXrh3j6OjI+Pn5Mc+fP5etIz3mAwMDGR8fH8bJyYn5/vvvmYKCAmbp0qWMl5cX4+npySxYsEChHB06dGB+/fVXpWVUd47T5fpNNSuE8AzDMMjOK7DID3ue05+Dg4PKu8j09HTs2bMHAHR65n/mzBkkJydj+vTpSucXfmu7pvIBUHunq86LFy8QHByMQYMGYdCgQbh27Rpev34tm79z5044Ozvjhx9+0FjWqKgo3L17F/3798fQoUNx/vx5vH37VjZ/9+7dcHZ2xnfffaeQzrRp05Cfny+r6dDHrl270KVLFzRo0IAzXSgUYsqUKXj8+DHCw8O1SothGGzduhXDhw+Hr68vqlWrhv379+tdNkOEhYXh8ePHmDp1qkJtQ4MGDdC5c2dOrZ08iUSCAwcOIDU1VeEY3bp1K3r27Ak3NzcMHz4cgYGBasuhzfGekpKCM2fO4IcffpAdm1Le3t4YNmwYgoKCVH4vr1+/DkdHR9SqVUth3m+//YYRI0YgLCwMvr6++PLLL/Hdd98hICAAd+/eBcMwmDBhAmedFy9e4NSpUzh9+jR2796NwMBA9OzZE2/evMGVK1ewdOlS/Prrr7h16xZnvWbNmuHatWtqt4ehqDcQITyTky9G7dmW6SXyeL4/HG11Py0wDIMLFy7gzJkzmDhxImde+fLlAbDtMwCgd+/e8PX15Sxz/PhxODs7c6bNnDkTM2fORFRUFAAorKOrtLQ0/Pbbb3B2dkazZs30SmPLli3o3r07SpQoAYBto7F161bMnTsXABuAVKlSRauROrds2YLPP/8crq6ucHV1RYcOHbB9+3bMnDkTABAZGYmqVasqvdCVLVsWrq6usvY6+oiMjESHDh2UzpNe/CIjI9GwYUONaZ0/fx7Z2dnw9/cHANnF/KuvvtK7fKq0bNlSIQjJycmRlVO6TZRdwKXTr1+/zpk2Y8YM/Prrr8jNzUVBQQFKliyJr7/+WjZfIpFg27ZtWL16NQBgyJAhmDZtGqKjo1G5cmVOWtoc71JRUVFgGEZtWVNTU/Hu3TuULl1aYf7r16/h5eWl9BHQ6NGjMWjQINnn8/Pzw6xZs2T7aNKkSRg9ejRnHYlEgi1btsDFxQW1a9dGhw4d8OzZM5w8eRJCoRA1a9bE0qVLcenSJTRv3ly2XtmyZTlBuylQzQohRG/SIMPe3h7du3fH4MGDZRduqWvXriE0NBTbtm1DjRo1sGHDBoV0OnTogLCwMM7PuHHjAMDg2p6WLVvC2dkZJUqUQHh4OIKCguDl5aVzOmKxGNu3b8fw4cNl04YPH45t27ZBIpHoVFaxWIx//vkHw4YN46S1detWznKGfnZNjJX+li1bMHjwYFhbs4Hu0KFDcePGDbx48cIo6csLCgpSOFaaNGmisJwun+3nn39GWFgYLl68iObNm2PlypWoVq2abP65c+eQlZWFHj16AAA8PDzQpUsXpW1ztDneDSmrvJycHNjb2yudV79+fdnf0uO9Xr16nGkikYgztk+lSpXg4uLCWaZ27dqcYMjLywtJSUmcvBwcHBQaLhsb1awQwjMONlZ4PN/fYnnrokOHDli/fj1sbW1RtmxZ2cVKXuXKleHu7o6aNWsiKSkJgwcPxtWrVznLODk5cS4O8mrUqAEAePr0qV5vYw8KCkLt2rVRqlQpnR4ZFXbmzBm8fftW1tBWSiwW48KFC+jSpQtq1KiB69evIz8/X23tyqlTpxAXF4f+/fsrpHXlyhW0a9dOllZeXp5C7UpcXBwyMjJk20YfNWrUwJMnT5TOk07XJv2UlBQcOnQI+fn5WL9+PeezbNmyBQsXLtS7jMr4+PgoHCvyj1CkZX7y5AkaNWqksP6TJ08UPpeHhweqVauGatWqYd++fahXrx6aNGmC2rVrA2Ab1qakpHDykUgkePDgAebNm8e5mGtzvEtVq1YNAoEAT548Qb9+/ZSWtUSJEvD09FS6voeHB1JTU5XOkz/+pEPeK5smDbQLz5cuo2ya/DoAewyoKqOxUM0KITwjEAjgaGttkR9d3+MhDTIqVKigNFApbPz48YiIiMChQ4e0zqNr167w8PDA77//rnR+4Z49hfn4+KBq1aoGBSoAe8EaMmSIwl39kCFDZO0XvvzyS3z48EHly1ilZd2yZYvStPr16ye7Wx8yZAg+fPiAjRs3KqTzxx9/wMbGBgMGDND78wwZMgTnz59XaJcikUiwcuVK1K5dW6E9izI7d+5E+fLlER4ezvksy5cvx7Zt2yAWi/Uuoz4aNmwIX19frFy5UuGiGh4ejvPnz2Po0KEq1/fx8cHgwYMREBAAAHj//j2OHDmCPXv2cD7f/fv3kZqairNnz6pMS9PxXqpUKXTp0gXr1q1DTk4OZ15CQgJ27tyJwYMHq/xeNmrUCAkJCSoDFnOJiIhQGhgaE9WsEELMxtHREd988w3mzJmDvn37yk7Cubm5SEhI4CxrbW0NDw8PODk54e+//8YXX3yB3r1748cff0S1atWQnJyMvXv3IiYmRtaQ0VTevXuHY8eO4ejRo6hbty5n3ogRI9CvXz+kpKSgefPmmD59OqZNm4a3b9+iX79+KFu2rKw7auvWrTF06FAcP35caVpfffUVhg8fjtWrV8PPzw+TJk3Czz//jLy8PPTt2xf5+fnYsWMH/vzzT6xatQo+Pj56f6YpU6bgyJEj+Pzzz7F8+XI0b94ciYmJWLRoEZ48eYLz589rFbwGBgZi4MCBCp/Fx8cHAQEBOH36NHr27AmAbXRaeJyUUqVKGfQ5ChMIBAgMDESXLl0wYMAABAQEwNvbG7du3cK0adPg5+enMCZLYZMmTULdunVx9+5dXL9+HaVKlcKgQYMUtkePHj0QGBioMCaQlKrjXd6aNWvQsmVL+Pv7Y8GCBahcuTIePXqEn3/+GeXKlVNbM9WoUSN4eHjgxo0b6NWrl+aNYyLXrl3Db7/9ZtI8qGaFEGJWEyZMwJMnT7Bv3z7ZtNOnT6NMmTKcn9atW8vm9+nTBzdv3oSNjQ2+/PJL+Pr6YujQoUhPT8eCBQtMXuZ//vkHTk5O6NSpk8K8Tp06wcHBATt27AAALF26FLt27cKtW7fQpk0bVKpUCVOnTkW9evXw1Vdf4d9//1WZVrdu3SAQCGTB16pVq7Bu3Trs3r0bdevWRZMmTXD16lUcPnxYoSGzruzt7XHx4kWMGDECM2fORLVq1dCtWzdYWVkhJCQELVq00JhGaGgowsPDldbwuLm5oVOnTpxeM5cvX0ajRo04P/PmzQPADpbWvn17gz6TVMuWLRESEgIrKyt0794d1apVQ0BAAEaOHIlz587Bzs5O7fq1a9dG165dMXv2bGzZsgX9+vVTGmgMGDAAR48eRXJyssq0lB3v8qpXr467d++iSpUqGDRoEKpWrYpvv/0WHTp0QHBwMEqWLKkybSsrK4wePRo7d+5U+3lMKTg4GOnp6Rg4cKBJ8xEwpm7BZWIZGRlwc3NDeno6XF1dLV0cXqr0ywkAQNfaXtg0QrEhGrEckUgk61GgqqEcKboyMjLQrVs3XL16VavHZJ+ydu3aoUOHDgoNtIl6CQkJqFOnDu7du4eKFSuaPf/BgwejQYMGsl5shak7x+ly/aaaFUIIMYGYmBgkJSUhLi5OYch1wpWeno4XL17gp59+snRRihxvb28EBgYiJibG7Hnn5eWhXr16mDJlisnzomCFEEJMICgoCHXq1EHp0qVRvXp1SxeH19zc3PDmzRuFsXaIdvr27Ys2bdqYPV9bW1v8+uuvCgPamQIFK4QQYgI///wzcnNzcfv2bboIE2IgClYIIYQQwmsUrBDCA0W8nTshhChlrHMbBSuEWJB0dEhTD1VNCCGWIH1pqJWVbqNjF0Z96QixICsrK7i7u8veteHo6KjzKLKEEMJHEokE7969g6Ojo8Fd9ylYIcTCvL29AUDh5WCEEFLUCYVCVKhQweCbMApWCLEwgUCAMmXKoHTp0sjPz7d0cQghxGhsbW05L3rUFwUrhKgQeD0a16LeYeNXjWFnbdjzVm1YWVkZ/FyXEEKKI2pgS4gKvx1/jMvP3uFA6FtLF4UQQj5pFKwQokF2XoGli0AIIZ80ClYIIYQQwmsUrBBCCCGE1yhYIYQQHsgXSzB0UwiWnn5q6aIQwjsUrHxCaEB3Qvjr/ONEBL98j/WXX1i6KITwDgUrhBDCA3liiaWLQAhvUbDyCaFB3AkhhBRFFKwQQgghhNcoWCGEEEIIr1GwQgghhBBeo2CFEEIIIbxGwQohhBBCeI2CFUIIIYTwmkmDlcWLF6Np06ZwcXFB6dKl0bdvXzx79oyzjEgkwvjx41GqVCk4OztjwIABSExMNGWxCCGEEFKEmDRYuXLlCsaPH4+QkBCcO3cO+fn56Nq1K7KysmTLTJkyBceOHcO+fftw5coVxMXFoX///qYsFiGEEEKKEGtTJn769GnO/9u2bUPp0qURGhqKtm3bIj09HYGBgdi1axc6duwIANi6dStq1aqFkJAQtGjRQiHN3Nxc5Obmyv7PyMgw5UcghBBCiIWZtc1Keno6AKBkyZIAgNDQUOTn56Nz586yZXx9fVGhQgUEBwcrTWPx4sVwc3OT/fj4+Ji+4IQQQgixGLMFKxKJBJMnT0arVq1Qt25dAEBCQgJsbW3h7u7OWdbLywsJCQlK0wkICEB6errsJzY21tRFJ4QQQogFmfQxkLzx48cjIiIC169fNygdOzs72NnZGalUhBBCCOE7s9SsTJgwAcePH8elS5dQvnx52XRvb2/k5eUhLS2Ns3xiYiK8vb3NUbRPCmPpAhBCCCF6MGmwwjAMJkyYgEOHDuHixYuoXLkyZ37jxo1hY2ODCxcuyKY9e/YMMTEx8PPzM2XRCCGEEFJEmPQx0Pjx47Fr1y4cOXIELi4usnYobm5ucHBwgJubG8aOHYupU6eiZMmScHV1xcSJE+Hn56e0JxAxjMDSBSCEEEL0YNJgZf369QCA9u3bc6Zv3boVo0aNAgCsXLkSQqEQAwYMQG5uLvz9/bFu3TpTFosQQgghRYhJgxWG0dxKwt7eHmvXrsXatWtNWRRCCCGEFFH0biBCCCGE8BoFK4QQQgjhNQpWCCGEEMJrFKwUI+k5+cgU5Vu6GIQQQohRmW0EW2JaeQUSNJh3FgDwYlEPWAmpozIhhJDigWpWionkDx/fRJ2TL7ZgSQghhBDjomBFT/liCQIOPsCJB/GWLgohhBBSrFGwoqc9d2Kx+3Ysxu+6Z+miEEIIIcUaBSt6epchsnQRCCGEkE8CBSuEEEII4TUKVj4hml9+QAghhPAPBSt6ogs/IYQQYh4UrHxCaOQVQgghRREFK4QQi0vPyUd4bJqli0EIb7x+n4XYlGxLF4M3KFjRE0PPgQgxmk7Lr6DP2hu4EvnO0kUhxOJy8sRot+wy2vx+CfliiaWLwwsUrBQT8rETQ5EUKWKkIzCffZRg4ZIQYnmp2Xmyv3MLKFgBKFjRG0NNbAkhhJiYWEzXGoCClWJDvvGsQEBNaQkhpDg485hqGwEKVooNbR4DUXxOCCFFSy69mBYABSt6i0nJsXQRCCGEkE8CBSt6ikrMtHQROLR5DEQPhwghhBRFFKzoSUjtQggxOnpUST4VqVl56L3mOrbdiLZ0UYoEClb0JKQtRwghRE9rLz3HgzfpmHvssaWLUiTQJVdPVLNCCCH8di8mFXdfpVi6GErlUMNZnVhbugBFFZ9DFRoUjhDyqcstEKP/upsAgIh5/nC2o8tdUUY1K3oSCj+GK0UlOCgapSSEEMPJj/z6QVRgwZIQY6BgRU/yj4HEEsuHAYyKvwkpSu5E87PKnhBiWRSs6EmuYgXiIlKzwudHV4QAQFTSB0sXgRDCQ/QQT0/yY5lIePCeKQpESFFUIJbgwL03li4GIYTnqGZFT3yrWeEOt2+xYhCik123YzDjwENLF4MQ3qLTOYuCFT3xrc0K+TQUlcbc2rrzKtXSReCNYrZrLU7Z9iyK358iWGSToGBFT0LOYyDLH030GMh03qTy4z1QVyPfocG8szj1MN7SRSFGllsgxuSgMEsXo1i78CQRDeadxfnHiZYuCtEDBSt6EvD4MRDVGxrXtpuvLF0EAMCILbeRISrA9zvvWbooxMiuRyVbugjFTuFxO8duv4sMUQG+/ueuZQqkp6JYG2QKFKwYgaSIHExFo5SEfFoYhsG/Ia8tXQxiIImEwdYb0QiLTTNJ+icfxuN0hOG1qvtD3+Bq5DsjlMi8qDeQEVBvIGJqz5P49ZZvYjwXniTh8rOid/HgO3PfQx5/GI95/73n59WSnkZLlwGQIcrHD//VqD6Z3w0OtlZ6pRWVmImf9oUDMG4ZzYFqVvQk/0WwxGOgArGE01aGOyic8vJQQFN0JWbkWroIxESev6OxZUzChKflvALFO9SoROPdUBTutJGd+/E9QsryVqXwskX5PELBip7kH/2Yu4FtvliC1ksvoefq62bNlxBCPnVbb0Sjxq+ncPlZkknSzxdL0Ob3S7L/9b0X/t+hh6g56xSik7OMVDLLomDFCMzddfnFuw9IyBDhSXyGrPEV1ZoQUjTRd9c0VNUwG0r6qGeKiXpvGSu42HkrBgwDbLzyQjatcKPjooQ3wcratWtRqVIl2Nvbo3nz5rh9+7ali6SWqsdAqVl5+P30U7z4r2r34tNEbLr6wmQtuqVxEg0KB6Tn5GPZmadGrY7li713Y82e56VnSdhwxXTHLmB4T4c3qdlYevopEjNERiqR+X2iX1eTM/d50FT5nX6UgK03o42Slq6xSoFYglXnI3GbB+/s4kWwEhQUhKlTp2LOnDm4d+8eGjRoAH9/fyQlmaaazRjko3b5x0AzDz3Eussv0POvawCAMdvuYtHJpybb2TQg3Ufzjz3G2ksv0GXlVUsXxajSc/JxJCzO7PmO3noHS049xY3n702Wx51Xhn0vvgq8jfWXX+C7f0ONVCJSXMifGU3RQ0dgpmqK29Ep2HjlpVHSEsoNvV4g1tz2Ze/dN1h1PgqDNgYbJX9D8KI30IoVK/DNN99g9OjRAIANGzbgxIkT2LJlC3755ReLlClfLMHr99kq58s3VHr1Plt24J77b8AhUb4Ez+Veynb3dSpKOdsZpWzy5YpKyoSdtRWSMj/eWb5MzoJbVp7CekmZuZwyFTfnn3wc7MnYn9OS2+39B8VGceYsz+1XKfB2szdJ2soa/Ony2aRV5mGxaUX22E4ycBsQ5dJz8mV/h77mBsXG2L4pWXmcdOLTP56DtUlf/tiXX17ddQdgG2S7OdhoXc7EDJEs/VS568LDt+lwsVefzo3nH8f/eZWchUoeTlrna2wCxsIjzuTl5cHR0RH79+9H3759ZdNHjhyJtLQ0HDlyhLN8bm4ucnM/7uSMjAz4+PggPT0drq6uRitXQroILRZfMFp6hBBCSFFVxs0ewQGdjJpmRkYG3NzctLp+W7xmJTk5GWKxGF5eXpzpXl5eePr0qcLyixcvxrx580xeLoEAaqPX3AIxRPlsNZr8cvLRvJuDjex/FztrThWcoaTpKsu7cLkLl6m4Mvbn5NN2ky8LYJ7ySPN0trOGlRGPXWV5yNPls/FpH+mLYRhkiAo404rqZ+Eb2fnX3hqZctvYkO2r6phTdU1QJTuvAPliRunyyr4XyvLUppzWQgGc7KwVpmuTTk6eGHn/PS5ysbdsuGDxYEVXAQEBmDp1qux/ac2KsXm52iN8Tlejp0sIIYQQ3Vg8WPHw8ICVlRUSE7kvl0pMTIS3t7fC8nZ2drCzM07bD0IIIYTwn8V7A9na2qJx48a4cOFj+xCJRIILFy7Az8/PgiUjhBBCCB9YvGYFAKZOnYqRI0eiSZMmaNasGVatWoWsrCxZ7yB1pO2DMzIyTF1MQgghhBiJ9LqtTT8fXgQrgwcPxrt37zB79mwkJCSgYcOGOH36tEKjW2UyM9kBwEzRboUQQgghppWZmQk3Nze1y1i867KhJBIJ4uLi4OLiYvRBeqSNd2NjY43aLZoYjvYNP9F+4S/aN/z1qe4bhmGQmZmJsmXLQihU3yqFFzUrhhAKhShfvrxJ83B1df2kDqCihPYNP9F+4S/aN/z1Ke4bTTUqUhZvYEsIIYQQog4FK4QQQgjhNQpW1LCzs8OcOXNoXBceon3DT7Rf+Iv2DX/RvtGsyDewJYQQQkjxRjUrhBBCCOE1ClYIIYQQwmsUrBBCCCGE1yhYIYQQQgivUbBCCCGEEF6jYIUQQgghvEbBCiGEEEJ4jYIVQgghhPAaBSuEEEII4TUKVgghhBDCaxSsEEIIIYTXKFghhBBCCK9RsEIIIYQQXqNghRBCCCG8Zm3pAhhKIpEgLi4OLi4uEAgEli4OIYQQQrTAMAwyMzNRtmxZCIXq606KfLASFxcHHx8fSxeDEEIIIXqIjY1F+fLl1S5j1mBlyZIlCAgIwKRJk7Bq1SoAgEgkwrRp07Bnzx7k5ubC398f69atg5eXl1Zpuri4AGA/rKurq6mKTgghhBAjysjIgI+Pj+w6ro7ZgpU7d+5g48aNqF+/Pmf6lClTcOLECezbtw9ubm6YMGEC+vfvjxs3bmiVrvTRj6urKwUrhBBCSBGjTRMOszSw/fDhA4YNG4bNmzejRIkSsunp6ekIDAzEihUr0LFjRzRu3Bhbt27FzZs3ERISYo6iEUIIMaXsFCB4HXBlGZD42NKlIUWUWYKV8ePHo2fPnujcuTNnemhoKPLz8znTfX19UaFCBQQHBytNKzc3FxkZGZwfQgghPLV/DHAmALi0AFjvZ+nSkCLK5I+B9uzZg3v37uHOnTsK8xISEmBrawt3d3fOdC8vLyQkJChNb/HixZg3b54pikoIIcTYXl6ydAlIMWDSmpXY2FhMmjQJO3fuhL29vVHSDAgIQHp6uuwnNjbWKOkSQgghhJ9MGqyEhoYiKSkJn332GaytrWFtbY0rV67gr7/+grW1Nby8vJCXl4e0tDTOeomJifD29laapp2dnawxLTWqJYQQQoo/kz4G6tSpEx4+fMiZNnr0aPj6+mLGjBnw8fGBjY0NLly4gAEDBgAAnj17hpiYGPj50bNNQgghhJg4WHFxcUHdunU505ycnFCqVCnZ9LFjx2Lq1KkoWbIkXF1dMXHiRPj5+aFFixamLBohhBBCigiLj2C7cuVKCIVCDBgwgDMoHCGEEBPLywYEAsDanv1trDRtHY2TFiH/ETAMw1i6EIbIyMiAm5sb0tPTqf0KIYRo6+F+4MBY9u+qHYGvDhme5qVFwJWlwPCDQLVO7LS5btxl5qYbng8pFnS5ftNblwkh5FMkDVQA4MVF46R5ZSn7+9R046RHyH8oWCGEEALc+NM8+by9Z558ioq7W4D7OyxdCt6jYIUQQghwbjbwNtT0+WzuYPo8ioqsZOD4FODIeCBfZOnS8BoFK+YiEbPvyCAfMQyQ9d70+YgLgJxU0+dDSFGXlazfevkiQMSzV5/kZvI/AMj78PFvRmy5chQBFKyYyz99gN8rA4mPLF0S/jj9C7CsCvDICA371NnQGlhaCUh/a9p8CPlULa8BLPGxdCk+yssCFpcH/qhu6ZIQI6FgxVxeXWN/07PJj25tYH+fm23afN49YX9HnjJtPoR8qkQ86+GT9N93PpdntT1EbxSs6Cs8CDg/l32UocnTk/rlIZEAZ38FIg7ot74uGIbN6+F+0+dFCDGuB/vYoF/V+SjlJXB0IvD+hXnLpcr7F9zyPDkGnPqFfVxe3L29Bxz9EfjwztIlKVIsPihckXXoW/Z3lQ5AlXbql90zVL88Ik8DN1ezf9cdoF8a+uRVb6Bp8yKEGNfBr9nfldoC1Tsrzv+3H5D6Cog6B0x7ataiKbW9N5DxBnhxGZjyEAgazk4v0wBoqOf5sqiQNjD+kAR0X2LZshQhVLNiqBwTNprNSjJd2oXFhZkvL00kEiAl2tKlIKToyVbRQDb1Ffs7M95sRVEr4w37Oz2GOz0xQr/0slO4HRgyjNA+rXCaxpb0WPW8tFigIM94eaW+ZjsaKOQTY9x8TIiCFQLEhwNXeBThH/kB+KshELrd0iUhhJhT8Brd27+IC9jOC79XZi+87yKBvSMMK0dB3sc0xfmGpaUKI1E+/U0osKqu8bp4PzsF/Fkf2DWIO/31TWBVPWCLv3HyMTEKVggQcdDSJeAK383+vrrMsuUghJhfcpRuy8s3ohWlsY+0DZUl154kL8vw9JRRFaw82MP+1reWqbCQ9ezvFxe406WdPeKKxiB9FKyo8+EdsG808PKKbutFnQf2j+XH2B5XlgEXF6hfxsqG+3/qK2DXYGB1E+DxUZMVTSeJj4C9I9m7psLyRcDBb4GwXeYvlyoFecCh76nBMmFlpwD7xwDPL2heVlsZ8cC+UewdcnGWmcieh19d506Xfcf2cacb4yWK+dkf/xaaqGlnxlsgUc2jIHXSYtjzYexttrHuvX9VLyu0UpyW9BQI26lf3hZCwYo6p2cAjw4C//TWbb2dA4CI/WxvIUvKywYuLWBrKD6oaf9S+Mu4dwR7d/I+Ctj7lWnLqK3ArsDjw8C/fRXnPQhifw5/b+5SqRa6FQjfxX3/Cvl0nZvF9urb0d94aR77kR2jaGt346XJRyemsufhbT250+//y37HCr+HyNre8DwLzDSYnL6dL/aPZc+HgV2Ae9uBoxNULytQcpnf1kO/fC2IghV10mKUT1cVDSc+BnLlRiTMiNPcVZBhgPgH3JEWGYZt8Gros1L5ERHFhRpR5aTJ1VIUejW8qbs3Jj7SvWpVOtJjxlu2sVhm4sd5HxKVr6NO6mv1AZyhspR0S2QYIOGh7qNq5mXRYIJFXfob46cpbTRb3KW9Vj49W9Xo1wIV04uRFB3O0QIlNSvKtp1E8t91R0lDXB6grsu6enGR7QZY2MvL7Ci17hU+Tkt/A6z+TH164XuAw+OACn7AmP+etd78y/QDpS33BQpygO+DTZtPYVHngJ0DgVLV9E/jz/rsb31fNZ+Tanga+niwl+3yXr4Z8PU57dfb0IY9OQ0/AFRT0i2VEEJUUfYYSJmLvwHXVwCfjQB6rzZtmfRANSu6UjVAm3TIePnaGHVd06RCt7K/Y+SChptmOFAKctjfLy8BAjPeiUifL79/bsREdSx/yksj5q2De//1bnpzW7f1pHdRfGsITQgfGeN8ps1gn0WGltvj+gr2971/TFcUA1Cwoq0z/1M+Pf0t8G9/IHSbdukU5AJ7hrGvBVdmYzvljxBUSYhga3rk35YaeQbYMYBtgFdYfg6bv9SZmcClhdrnV1jqK/bzv7z8cdrrYLaWaWM74MZf+qedHqv/ukrTM0FVvL5CNli6BETeqRnsCM6mEHmG+/0wp8dHgJ1fmC59UTrbGL8wQ25GpGk+3A+cDmAfnRpKIgEOfANcX6l52cxEYGMbuQlaBC7he4BdQ9iXJ3KmB7GfpfB0Q1z9Q80jMGUMCLxCNrCNuHnwaIgeA2kreA3Q/hfF6WdVBDGq3N8BiHOBp8eBJmMU58eH6ZbeP73ZA/fFJWBuGjtN2p++cDsVgA2Snh7XLQ91Dn4HxIaw3eKkj1S2dvs4Pz4MaPWj8fJTRtsbqesrgc5zTVkSORoKdXoG0GKceYpC1MtM+PieqvYBgK2TcdMvPL6FORk63ogm15Ybp6swJ80VwOvrWqSrQw1K9BXg4V7gIYDWU9QvKx1NVxeHvmN/31wNdJgpN/2/kc6vrwQ6GenR/sXfjJOONk7PYH/X+tz0o6hrQDUrulDVL14X4lzD05Ani7CVRM/K3j2hzYBL8q8tB9iT+eubQPRVbqPfD+/YQEUqIYJtuGou0obAlqqyzc9R3CbKvHtmnvIYIiFCdYNyY4p/ADw/z5931ADcoN7Q73i+iD0mCvLY/W6qz5n1HkhW0o0/LwuIvqb+HTtpscprXQF2vehr3I4C6uh0h68lQ9JU9bl16d2jqkFvYbkfFLe1quEqPiRpPh6kx46684lejaqN8FjMVGPN6IBqVohmy2t+/LvlRKDrAsXpALChlRaJGbF9zOrPgNkp6scYMKX9Y4FnJ7jbRJm1zYCAtzD4s5uq90dG3Md9Z8oGx6mvudXrs1MBYTG7Xzo8jm2/1ugrtmutqayso3z6ians7w6/Au1+Vr7Mqrqq0w1Zx74hXtdG4HxxeyPgUVPJDB2+exItH3n805t9/N5R7vGhstpsgD0WNB0PB79mO3Co82cD1fOSngCla6lfvwgrZmcKYnK3Nn78m1Fz92YukgLF94uYy7MT7G/5baKKMd4hlWCkES0LU3aHbgqFR+Tkw/FjbNKG9qYMVICPDeRVkTbm1tWra+xvXRuB80XYbuXTlY01ooq2wYq0neDNNR+n6TosgTxNgYomb+4Ytr46PGhwTMGKJR2bBMTeMk9eEQfYgdWM8YIvU2EYthGcIV5eAea6AQvLGvYyxPcvgL87s+/V0EScBwT6syfKWxvZ/K/+zl1mVT32Oby8J8eAJRWBZdXZLt3F0ZXf2cbepnq/ir5u/AX85gmsb63/Szzjwtg73bluwLyS7G++SI8FLhipbcOjw8DfXdhedDsGApeXGiddKfkG/8agrDeQsmAlIQLY1IE9V1yY/3G6RNdHgZa/kKt0e/PHmyqA7YxRoKQpAp9G/1aBHgNZkrY9iIxBOm6LuYIjfaS8ZBvBGUI62nB+FnBkAjD6hPrlVTn4LfD2LrB7iHaPRmJDuO13tCHfkG/nQPOO+WIu0p5mT48DVraWLYu8c7PY34kP9R+l+d++H9so8LGW6Nofxkln30j291+N2N/PzwHtZxgnbUCxwf+7J8ZLW0rZU6Bdgz++/fna8o8NYAvXrPCgVkFvJ3/i/v/iovJXgPBp9G8VqGaFT5S996YwiZi9289KBkQZivPzNVQPG0usHtXEOanqayq0rX7VVtIj7d/cHHuHO0qsssc2DMPWgGTEGad8xvTyCvD0JBBj5mA0Lwt4cpx9tYOUOB94eoI7JpGyuzlTkoiBZ6cNH6U4/S17cn9ynPsZctL48e4voiUl0Up2svJFDQk85R+fpRl56AVj0fQIkaeoZoVP1jbVvMztzWx3MmdvwKO64vzjGrrlGYph2AtAYBfd193WC8g1Y+1BTir7/hRNPrwDAv8bGVZd7cbT4x9rQ/hUCxIXxn1/1dQngGtZ8+R9aBzw5CjbrXHgf2MHXV9p2Ng9xnBvO/tdcCgJzDDgceDK2h//bv490H0J+7eyUawJf+nUZsWAYCXlJdt70sVbfUPmIsfytUtUs1LUSKtMPyR8bAwnL1xFAzNj0newNmO98tzYpFXBmlhqYC9NCo/NY44uyFJP/nsrt3wtiqpRns1JWoNnjIbNUuFyz/Xj7hkvXaIflR18lLVZ0aUnnoEXZj4NPlmMULBSVGSpqLI0N32Gst7YFkjWYkRLczQy5dP4HsaQ8pJtqM13h74DYnRs00OIKWh6JFm4jYqy75epRjs2RLqWnSd4Opy+JhSs6MKSDa2uGqmxnCXEhwNrGmteTtfRgPVRFC7sujgxzdIl0N5NA169QIi2NN1QPT6iW3qPlLyTyxzvb9PVlSXaLRcfbtpymAgFK7pIjWaHy7cEfUa+NUWregB4y6Mq8Kizui2vy0iWhRkyhoKpmKtBtTbehGpeRh5fH6sRlrIRsOVlp6ge14TPjN2Q35T3sPq+Uyj9LfteomKEghV1Co8Yuqm9JUrBLwyj2B3OkvR5j4e+wiwUqBYVf3fUbfmdAw3vrUNMR/4dX8rsGqy+54x8DzGLM2ObFWM6/IN+661r8fG9RMUEBSvq6PL2Y0KI7ug7xl+a3pysaZTbfB4FK8oeDRWF8VOkDdh1latkWIsijoKVouLpSeCPmsp7AEn92dD05ZCYeSTSLRru7nT15g47WJyhQjYYnoah7u8EYoIVp2/xZ0dT/buzafIVF7Ajf+4bbXha61sCIet1X+/UDGB1E+4L987OYgcuy0kzvFyqMAy/Rqr91Jybw57nclKhurak0PTlvtwxlPSV/pbd94X3vzmGY8iIB1bW07wcwxinW/252ea5nuiAghVV+BZ1f0hgf9RJNWA8Cb5SdjE2VNJjw9M4bcQRPPV1REMVsaneFfL2Ltt1V1nDQ32c/kX3dW5tAN5Hcbvq3/yL7R11N9A45VKGT7UFn6Ibq9jz3K1N2q+TGa/8GNO1Z+NFNS8rNbXLi7V7B1r2e8PfMQQAN/7kXk94cD2kYIVYXloMcMeEFxhdqBoBVsSDQeDys9mTdKqWr7DXJOW/k74uo8tGXwPubjFO/sagrLqbKfRuFx6caA2SncLW5Fli+IInxzUvYwk3/1L9CFGbmxGG0b2xvS4j2766oVvaxsy7mKJghfCD9NX2lralq/Lpph4ZWBuSfODUz8A6P+Okt7oxm94VHV5Mt70X8IBHvQzkX0CnylM93w/FF/tGsTV5u4eYP+8gI79k0FjyPrC1a8pcX6F+XYbRvfuyrrb1MG36nyAKVghR9pbVwnfnkTp2kTal/Cz91pMfRpxhPt6tvdWxy7E5qBvyXNfh0I3x2M/YpJ9Bm88SfYX9/eYOu9/49gZrXtGyFk2f0bQNGYbfEBKxHm+CNjbL105SsKJKUa86Lk5e3zRd2tkpil1uk6MUu63r8m4RPjnxXzfzpyeBhd4fh8Lf/rnuaZmyhkJ+iP53kcDi8sClRYrLifOBNU1MVw5zOPgtsKwq8OISsKgc+y4lbe0eAvzmYbqyaStaTUN/3tPj3P46GIhQ8rZic5hfkvuqh09UET0Dk0/Kga9Nl/b9fxWnBX2lOE2f1wzwwZ3N7O89QwFxHrB/DPu/ul5lquz50njlKkxaLgA4P4dtn6Ps8VR8ONuItih7EMT2Zvm3L/sG3PNztV838rSpSqWbvUq+I7xgou9pMRuzpCgyabCyePFiNG3aFC4uLihdujT69u2LZ8+ecZYRiUQYP348SpUqBWdnZwwYMACJiYmmLBYhH2kzmmXSE0CUZvKiIHiteWr0Eh6aLu3XN4F3T02Xvj6ir7Lb9vpKw0ZfNuWueX4BODKeLaPYyCOsWsrjw5YugXL6HJ/WDsYvhyk82GvpEpiMSYOVK1euYPz48QgJCcG5c+eQn5+Prl27Iivr4zP3KVOm4NixY9i3bx+uXLmCuLg49O/f35TFIuQjbV7qta6F6csBAGdmAs9Omj6fDa1Nl/bW7qZLW1+vrrHb9vxcYHMH9cta6vHvjv7sqzzOzwVCt1qmDMZ2Yho/29fo814fGx2CFUs2ITgTYLm8TczalImfPs2tsty2bRtKly6N0NBQtG3bFunp6QgMDMSuXbvQsSPbbmDr1q2oVasWQkJC0KKFmS4SSlGblU9C4bYpgGXH0ijqjziI4UxZ82VuunSLNydd36lVVNusFSNm3QPp6exYFSVLlgQAhIaGIj8/H507fxxp09fXFxUqVEBwsPLBwHJzc5GRkcH5IcVchpavPjeWNCONY0IsR9cXXEqpa5tkrmZLfKyN0Jc4z9IlUC54jenSLqrt23jObMGKRCLB5MmT0apVK9StWxcAkJCQAFtbW7i7u3OW9fLyQkKC8tFaFy9eDDc3N9mPj4+PqYtOCCHmY+5XWpgS9aokRmK2YGX8+PGIiIjAnj17DEonICAA6enpsp/Y2FgjlZAQHrip5R1fkgkbsWYmAqdnsg2LAeDdM+Dsr6bLT17KS267nbiwj39nvQf+7qQ5jeC16uenv9GraGAAhBt2/tJKUahZsfi4H2amS23JudmmK4el8CDoNGmbFakJEybg+PHjuHr1KsqXLy+b7u3tjby8PKSlpXFqVxITE+Ht7a00LTs7O9jZ2Zm6yLzYOeQTpOn9T1KmbPR7fi47rsOra8C4a2xehQfJM5UthRrobmoHzP3vVQfHftQujZxU9fN3GTASrDlGWtamh5qlaf3yvuJyHtUhWHlt5KH2CQAT16wwDIMJEybg0KFDuHjxIipXrsyZ37hxY9jY2ODChQuyac+ePUNMTAz8/Iw0pDghRY2miy0AnS4Cugbe0rE8Eh78t74Z76LVBWvPzxsnj8Ri1ICV7+imjxiJSWtWxo8fj127duHIkSNwcXGRtUNxc3ODg4MD3NzcMHbsWEydOhUlS5aEq6srJk6cCD8/Pwv3BCLEgpZWAiaFAyUqGSe9Uwa8IfrFJeOUwVC3Nun+4jlDpRdq2K11bYKBitUF3tyfpThtOyLPpDUr69evR3p6Otq3b48yZcrIfoKCPr4IbeXKlejVqxcGDBiAtm3bwtvbGwcPGunV84QUVcZ80drtjfqvq+mlcOZy6mfz52mOMW9I0UA9fCzOpDUrjBZ3CPb29li7di3WrtXQKM7sKEInn6DgdZYuASEGMFVQQcGKpZmlgS0hpIg4EwBY2Vq6FPxgsbvpYnSjVKweaX3KLL8faVg+QvgoMxHI/WCZvItCbxRTkb+4plloWIRidYEvQp/Fkt85ohEFK4TwUcha4PcqlsnbnL1/+OrFReDGKkuXoui7vMTSJdDe8hrAkgrK51GbFYujYIUQvhLz9L0qxZn0onR3iwULUYRqIzQpai9lZMQqZlCwYmkUrKhSrKpiCSFFRuRpYK4bkJeleVlCPhEUrBBCCB/dXG3pEhDC4sHNOwUrhPCZ/LtxPlXmfleORALEh5s3T2U+JFq6BESK2qxYHAUrhPDZpnaWzZ8Hd1T4zcN8eTEM27A2LcZ8eZIigIIVS6NgRSUenKQJIeZHvYCKMDpvF1cUrBBCVDNn9fdcN/3W+7cf8MqYb7qlu2hC+IZGsCWEFG0vLrI/hJgq0KQ2KxZHNSuEECJPlGbpEnwk/oRHE+YVClYsjYIVVfjQsJAQ8mm79oelS0AIL1CwQgghMjy7SbHoSLqE8Mcn02ZFLBYjP1+H8RrycwFnH9MViJCiwNbj0/oe5Obx5/NauQI2JQBnegu21hw9AdgYP117T+5xwTCwEb2HlTjH+HkRpYp9sMIwDBISEpCWlqbrikCr5SYpEyFFhrU9UGmIpUthPm+T+PO9t3MG3FtauhRFi9AKkKh6v48BrO2BSkO508R5cH99Ct5RuyDgW41cMVTsgxVpoFK6dGk4OjpCoG2rbokESBaZtnCE8J2NI5CfbelSmI9HRSCZJy+QtHMDctMtXYqiRWANMCZolFzoe8AwQHY+kGQ7EABQJmqn8fPkEx604SzWwYpYLJYFKqVKldJtZYkEsKYW4OQTZ2MFMJ/Q98Denj/fe3EGf8pSVAiFgMQE20zJ98DBBgDckVSxO0q/PEiPhEysWDewlbZRcXR0tHBJCCGEFDeONgCsbJFvr+PNMNFZsQ5WpLR+9EMIIaQIM+/jCtmlha4xJvdJBCuEEEIIKbooWFHJ8g2KCCGE6IJqOIorClYIIYQUaYG7D6Pr0B+MmmaLXiNw4MQFo6ZZdFn+5p2CFR4SlPtM7c/c5RvwKjZO5fyQ0AcAgG1BRyEo9xlqteuvkMe+Y+cgKPcZKjXvKZsmXV5Q7jMIyzdG+cbdMHrKHCQlp2gs254jZwAAl2/e5Uz3rNcRPb6aiIdPopR+Vv8vf4CVTxPcCXsEAGo/l/RnW9BRbAs6CvdabVVuv8OnLylNr2Sd9mg34Gtcu3VP6brfTV8AK58m2HfsnKbdpJC2S43WqNNhIMbPXIyolzEKy+fkiDDnj/Wo0bov7Co3h0fdjvji2+l49OyFxrykCm8veaMmz5GVxaZiM1Ru0QvTF6yCSGR4V1z5Y0NQ7jM4V2+Fxt2+xMGT3JN5peY9sWqzYjfOucs3oGGXj+O1jJo8B33HTFWZX6XmPWV5Wfk0QdnPumLstHlITcvgLJeSmo7Js5ehYrMesK3UDGU/64oxU+ci5m28xs+0eedBNOg8GM7VW8G9Vls06joUi5cs5ZRZ2fHn25b7fXoeHYPRU+agfONusKvcHJVb9MLQHwJwN/wxZ7nj566i3YCv4VKjNRyrtkTTHsOxLeioxnIWpu2xr0u+xvyeyG83K58m8GnSHd9O/w0pqdxu2KqOlcWrt8DKpwmWrd+udjtIiUS5mLVsHeZM/VY2TSwW44eAxSjTqCt6fDWRcw4DgIzMD/jfkjXwbdsf9lVawLthF3QePA4HT14A81833V8nfY1fFv0FiUQCqrGxPApWeCj+/lnZz6p5P8HVxZkz7adxI2TLnt+znjMv/v5ZNK5fSzbfydEBScmpCL4bzskjcM9hVCjnrZC3NK83d09j87JZOHXpJr768VfOMltXzFXIs69/e84yz64eQvz9szizay1yc/PQc8Qk5OVxRxCOeRuPm3cfYMLowdiy5wgAwKesFyfdad99hTo1q3KmDe7dVedtKt1OVw/8jbJenug1cjIS373nLJOdk4M9R89i+g8jsSXoiM5ph5/bg0W/TMCTqGg06DIEF67dki2Tm5uHzkO+x5Y9R7Fg+g+IvHYIJ//9CwViMZr3GiELMNVRtr0K69ahJeLvn8XLm0excu40bNxxEHOWb9D6s6gjfxzeP7Mb/u38MGjcL3j2/JVR0i9s/k/fI/7+WcTcPomdqxfiasg9/Djrd9n8lNR0tPh8JM5fv40NS/6H5zeOYM+6xXj+KhZNe3yFl6/fqEx7y57DmDznD/w4dijCzu7GjcNbMf2Hkfjw4QNnucLHXvz9s7h+OFA2/274YzTuPhyRL2Owcen/8PjSfhz6ezl8q1XCtPkrZMut3rIHfcZMRasmDXDr+D94cH4PhvT2x7iARfhp/kojbjUuXfM11vdEut1ibp/E1hVzcfpSML4PWKRVmbfsOcKmreIYL2z/ifNwdXZGq6YNIa0B2HPkDGLexuPMzjX4rK4vfv19rWz5tPRMtOwzGv/sP4GACaNx7/QuXD3wNwb37orpC/9EegZ7DHTv2AqZWdk4dfGGVuUgplWsx1lRimG0G+RKIgbyjdxv3tpeq1bj3qU9ZH+7uThDIOBOA4DklDQAQKkS7grzOFlaW+HLft2wJego/Jo0AAC8iUvE5eBQTPlmGHYfPs1ZXj6vst6e+HHMEMxath45OSI4ONgDANzdXNTmCQClPUrKlpv89ZfoPXoKnj6PRv3aNWTLbA06il6d2+D7EQPR4vORWDFnKhwc7DlpOzs5wNrKSmN+mki3k3dpD8ycOAZ7jpzBrfsR6N21nWyZfcfOo3b1yvhl/CiU/cwfsW8T4KMkoFOVNgBUqVgen3dpi06DxmHsT/Px4uZRWFlZYdXfuxAc+gD3z+xGgzrsNqhYviwObF6G5r1GYOxP8xFxcZ/anmuqtpc8O1tbWVl8ynmjc5sTOHf1Fpb+T+dNpkD+2PAuDSyYMR5/bPwXD55EoWa1SoZnUIiLs6Msv3JlSmPkF59j95GPx+v/lq5FXOI7PL9xRLZchXJlcGbnWlRv3Rfj/7cEp3asUZr20bNXMejzLhg7tK9sWp2aVQHvekDCQ9k0dccewzAYNWUOqlf2wbVDgRAKP977NaxbE5PGfgkAiH2bgGnzV2Dy119iUcBE2TLTxn0FW1sb/Djrd3zRqzOaf1ZPxy2knj75Gut7Ir/dypUpjS96dcbWvZprka4EhyJHlIv5P43DP/uP4+adcLRs2kDtOnuOnMHnXdpwpqWmZ6CST1nU9a2GJ1HROHDyomzezCVr8Co2DpHXDqOst6dseo2qFTG0bzfY27GvN7CyskKPjq2w58gZ9OzRQ2PZiWl9esFKfjawqKxl8h59CrBxMHu2Y4b0QfuB3+LP+T/B0cEB2/YeQ7f2LeHlUVLjug72dpBIJCgQ6zeEdXpGJvYcPQsAsLX9+M4OhmGwNego1i78Bb7VKqNaJR/sP3EeXw3spVc+2srJEeGf/cfZ8thwD//APYcxfEAPuLm6oHuHVti29xhmTflG5zyEQiEmfT0U/cZOQ+iDJ2jWqC52HTqFLm2bywIV+WWnfDMMwyb8D+GPItGwbk2laeqzvSKePsfNuw9QUYuAS1disVi2HT+r52v09At7G5+EY+evonmjugAAiUSCPUfPYFi/7grBhIODPX4Y+QV+/X0dUlLTUbKEm0J63p6lcCUkFK/fxKFief3OB2GPnuHRsxfYtXYRJ1CRcndzAcDe+efnF+CncV8pLPPd8AGYuWQNdh8+bfRgxZB8jfk9eRUbhzNXgmFro/mdPYG7D2NoX3/Y2NhgaJ9uCNxzWGOwcv1OGL4aIH2czQb7w/v3RKfB38Gucgt4eZTEyX//AsA9buQDFSlnJ+6YXM0a1sWStVs1lpuY3qcXrBQzLfuMhlDIvRv/EMWttmxU1xdVKpTD/uMX8NXAnti27yhWzJmmtpocAKJexmDDvwfQpEFtuDg7yaYPHT8TVoVOzo8v70eFcmVk/5dv0g0AkJXN1k717toOvtUqy+afv3YL2Tki+Lf3AwAM798DgXuOmCxYkW6n7BwRGIZB4/q10Kl1M9n8qJcxCLn3EAf//oMtz4AemDpvBX6d/LVe4/T4/lfT8Co2Ds0a1UVkdAw6tGyidNla1dntEvnytcpgRdvtdfz8NThXb4UCsRi5uXkQCoVYs2CGzuVXJj3jA5yrtwIA5IhyYWNjjU1Lf0XVSqZ58d+MRX/h19/XQSyRQCTKRfNGdbFizjQAwLv3qUhLz5Rtu8JqVa8MhmHw/FUsmikJVuZM/Rb9v/4JlZr3Qo0qFeHXuD56dGyFgV/X4Twbf/j0uewzSw3v3wMblv5P1i7JV0OtUuTLGLi5OqOMl+LF0dbWBlUqlENktGIbJ3Xk94Ux8zXW90S63aT7DgBWzFHdRglg25HsP3EBwUe3sWn374E2/cfiz/k/KwQRUmnpmUjP+KAQeLi7uSD09C4kJCXDs1QJWFlZAWBrpFPTMjTuM6my3p6IjUuERCKhNhMW9ukFKzaOwMw4zctJxEBihHHztrbXvIyOgtYvVnnCljdmSB9sDTqKCuW8kZUtQo+OrbBma5DCctKToETCQJSbi9bNGuLvZbM5y6ycMw2d2zTjTCtb6IR47VAgHO3tEXLvIRat3oINS2Zy5m/ZcwSDe3eFtTV7CA7t2w0/L/gTL17FmuTiF7R+MXyrVUbEs+eYvuBPbFs5DzZyd3pbgo7Av50fPEqWAAD06NgaY6fNx8Xrt9GpTXOd85M20pM/gRvSnl7b7dWhZROsXxyArGwRVm7eCWtrKwzo2UllujsPnsR3MxbK/j+1YzXaNP9M6bIuzk64d5ptEJmdI8L5a7cxLmARSpVww+dyjwmM5edxIzBq0OdgGCA2LgEzl6xBzxE/4urBv2XLMHq+s6SMlyeCj21HxNPnuBpyDzdDwzFyyhz8feA8Tm9dIqspqVm1Io5u5bbtcHVxNihvY5DfF/Kqt+5rULrG+p5It5soNw87Dp5E2KNnmDhG/Qsxdx8+jaqVystqHxvWrYmK5csg6OhZzuM6eTki9v1t9nZ2SucXrnXTdZ9Ja5Zzc/PgYKXTqsTIPr1gRSAAbJ00LycRW+SRja58ynqjWuUKGpcb1q87pi/8E3NXbMRXA3rILnqFSU+CQqEQZUp7KLSJAADv0qU05lnZpxzc3VxQs1olJL1PweDvf8HVg2zDxJTUdBw6fQn5+QVY/89+2TpisRhb9hzBwl8maPw8ri5OyMoWsXc8crU8aemZANi2PvJ8ynqjepUKqF6lAgoKxOg3dhoiLu6DnZ0txGIxtu87hoSk97Cu0JRbnqCjegUrT6Ki2e1QoRwAoEblCrJpqpatUaWi0vm6bC8nRwfZvtmyYg4adBmCwN2HVZ7se3dtJ3u0AgDlvEur/ExCoYCz3+vXroGzV4OxdN12WbDi6uKE9MwPCuumpWfCzdVZYbo6HiXdZflVr1IBq+b9BL/eo3Dpxl10bN0U7m4uePJc9TYVCASopiHwretbDXV9q+GHUYMw7qv7aNNvLK4Eh6JDK/Y4sLWxUXms16jK7q+nz1+hUV3Vj8JqVKmA9IwPiEt4p1ADkJeXjxev36isdVOl8L4wVr7G+p7Ib7clM39Ez69+xLwVm/DbdNXdiwP3HMGjZy84aUskEmzZc0Tl8VuqhDsEAgFS0zOUzi/Ms1QJuLu54KmWjcJTUtPh5OjAngcLdRAg5kU1W5+IkiXc0LtLW1wJDsWYIX1ULic9CVapWF5poKKP8aMGIeLZCxw6xTZy23noFMqXKY3wc3sQdna37Gf57KnYtu8YxFq0j6lZtRIKCgoQ9ugZZ/q9h08AqL7wA8DAXp1hbW2Fddv3AgBOXriOzA/ZuH9mN6c8u9ctxsFTF2UBkLYkEgn+2rIHlSuUQ6P/HusM6eOP89duIfxRpMKyKzfvRO0aVRTas0jpu72EQiFmThyDX39fh5wc5W8Qd3F2QrXKFWQ/uu5zK6GV7O4WAGpWqYTQB08UlrsX8VTtPtEqr/+q8nNEIgiFQgzq1QW7Dp1GQlIyZ7mcHBHWbd8H//Z+SturqFK7ehUAHx9datKwTk3UrlEFyzf++1/3Vi7pcTOgZyfY2Fhj+cZ/FZbZ8O9+ZGXnYGjfblqXU1uG5mvM78mvk8bij43/Ii7hndL5D59E4W74Y1zev4mT9uX9mxAc+gBPVQSltrY2qF2jCh5HvvxvivqaE6FQiCG9/bHz0CmlZfmQlY2Cgo9vbY549oL9Dn/qPZd58NZlClaKuPepaUhISub8qBpXY9vKeUh+eJHTdkQfaemZCnmqO8E7Ojjgmy/7Yc7yDWAYBoG7D2Ngz86yu1rpz9ihfZCckobTl25qLEOdmlXRtV0LjJk6Dxeu3UJ0zFucvnQDP8xcgsG9u6JcGdU1BAKBAD+OGYola7chOycHgXuOoGen1mhQpwanPIM+7wJ3VxfsPHRSbVmk++Dl6zc4evYKOg8eh9v3HyHwj9myC+yUb4ahWcM6+HzUZOw7dg4xb+NxJ+wRBnzzM55ERSPwj9kq28YYsr2+6NUZVkIh1v53wTEEw0C2v6Nj3mLTjgM4cyUYfeS6rU/5ZhhOXLiOhX/+jSdRLxHx9Dn+t2QNgkMfYtLYoZz00jM+ICziGecn9m2CbH7mh2wkJCUjPvEdbt+PwM8LVsGzVAm0/K9X26JfJsC7dCl0GfoDTl28gdi3CbgaEgr/YeORX1CAtQt/UflZvv9lEX5buRk37oTh9Zs4hIQ+wIhJs+Dp6Qm/xvVlyxWIxQrHurQrr0AgwNYVcxH5MgZt+o3FyQvX8fL1Gzx4HImFf/6NPmOmAGB7KP3+v0lY9fcu/G/JGjx9Ho0Xr2KxYuMOTF/4J6Z995XRG9caI19jfk/8mjRA/VrVsWh1oNL5gbsPo1nDOmjbojEn7bYtGqNpwzoI3H1YZdr+7fxw/XaYtpsFC2eMh09ZLzTvNQL/7DuOx5EvEfUyBlv2HEajrkPxIevjueza7fvo2tZP67SJ6Xx6j4GKmc5DvleYtnvdYgzp468w3cHB3ii1JaOnzlWYtjhgIn6ZMFrlOhNGDcaKTTvx+7rtCH8cic3LZiks4+bqgk6tmyFwz2H07NxGSSpcQeuXYs7yDfjul4WIS0hG+TKl0a97B8yarLkHz8hBvfC/39di9ZYgnLhwHbvWLFRYRigUol+3DgjcfQTjRw1WmZZ0Hzg62KNi+TLo0LIJNv3+K6ea3t7eDhf3bcSiv7Zg5pI1eP02Hi5OTujQsglCjm1HXd9qStMOffDYoO1lbW2NCaMH4/d12/H9iC/g5Kj/o82MzA8o04gd48bOzhYVy5XB/J/GYcb4UbJlWjZtgFM7VmP+ys1YvmkHhAIh6vlWw4Wg9Qqf8XLwXTTy5wYwY4f2xd9/sG2kZv+xHrP/WA+Arb5v2qAOzu5ah1Il3QEApUq6I+TYdsxfuRnfzViIhHfJKOnuhu4dWmLH6gWcBt+FdW7THFv2HMH6f/fhfWo6PEq6w++z+rhw9gxKyXWSe/TshewzS9nZ2UL0MgQA0KxRXdw9uQML/wrEN9N/Q3JKGsqU9kDLJg2wat5PsnUmfzMMVSqWxx8b/sGfgbshlkhQp0YVrF8cgNGDuTWdlZr3xKhBn2PutHEqy68tXfJVxpjfkynfDMOoKXMw44dRnK7OeXn52HHwFGaMH6l0vQE9OmL5xh1Y9MsETvsZqbFD+6JJ9+FIz8iEm7vmHo4lS7gh5Nh2LFm7DQv+/Buv38ajhJsr6vlWw7JZk2WPK9/GJ+Hm3XDs+GuBxjSJ6QkYS7YSM4KMjAy4ubkhPT0drq6unHkikQjR0dGoXLky7O11vEhLxECC5oG6CCnWbJ2BPMU2KMWWVz0g8aHm5UwkOycHpep2xKl/V6O9ju1YPmVffDsdn9XzRcCk7wCJcdqWzFj4J1LTM7Dp91mAnQuQq/iYS1TAIPrtO1S+MQ32H2KNki8vdVsCtFC8MTaUuut3YfQYiBBCeOLSjbvo2LIpBSo6WjZrssruzfoqXaokfvvZuO8bIvqjx0CEEMITPTu30eoRKOGq5FP2v67RxntQME3JYHrEcqhmhRBCCCG8RsEKIYQQQnjtkwhWlI2BQAghhBhCwgAAw3bIICbFmzYra9euxbJly5CQkIAGDRpg9erVaNasmeYV1bC1tYVQKERcXBw8PT1ha2ur/XteJGKgoEh3lCLEcIJP7HsgEn1an7e4ETCmGcBMIOEcFwwD5EmAd+kiCHNSYJuTZPw8CQcvgpWgoCBMnToVGzZsQPPmzbFq1Sr4+/vj2bNnKF1a9eBemgiFQlSuXBnx8fGIi9PifUDyGAmQrny0RUI+Gdb2QIHy0W+LpUw7IIO+90WW0Mo0tRw2H4D8QgNfSgrg+O4+KjzdCiFToHw9YjS8GGelefPmaNq0KdasWQOAfWzj4+ODiRMn4pdfuKNQ5ubmIjf34witGRkZ8PHxUdtPm2EYFBQUaDWMu0zaG2BHX50/CyGkCCvfDHhz29KlIHzHMLDKz4R1XgYERuyBxFvO3kDVDkC/DUZNVpdxVixes5KXl4fQ0FAEBATIpgmFQnTu3BnBwcEKyy9evBjz5s3TKQ+BQAAbGxulox+qZGcDFOdBfgghip7Sd54QBR8SgOirFi2CxYOV5ORkiMVieHl5caZ7eXnh6dOnCssHBARg6tSpsv+lNStG5+QBtP0ZCFkPVG4LxN4Gsv97YZpLWSAnFSjIAcp+Btg4stWP0VeAGt2BklWAkLVA9a5AchQABsgXAS7egKQASIwA3CsAdQcCqa+A7PfsKKGOHkDiIyDjDZtP+aZAicrsyIk1ugKxdwB3H+DBXrZK0rcn8OgQ4FoWcC4NvH8OVO3Ephd1li1Xg6FsWaSsbIHStYH4MMDenS2bKF31dvCoAST/9/I9Rw+gTl/gzR0gPpxNv3RtIOsd0OIHID2W/Wze9YGbf7HrNP0GEOex20EgADLiAI/qQEIEuw3rDgDKfcaWvVQ1IHwPu17aa3b0VHcfdplX14EHQYDQBqjchl0/Kwmo2Bp4HwV8SAQqt2O3/dMT7DyfFkBsCLsd87KBpEeAtQPQegrwYA+QmQBU6cDmJSlgf94/B6p1Zh9Kv7gAdPkNeHKU/cxSHf4HRBwErGzY/V6nP/D0OPD+BVCpFZD4GPCuy26vO5vZdSq0ZI8XhmG3vVT5poCTJ/u4JfI0kJ/NTre2B6q0BxxKsKNn3t70MR17V0BozW6/mBC2vNnJbNklEiAvE7BzZfeNYym2jE+OfsyzSnvg5WV2W5SoCJRvAnxIAl7fZI/D8s3Y7VfBD6jUmv1cD/cDPk2ByDPs/hNYATW6AS5ewNOTgCgNeHuPTev1DTYfh5JATgr7d+nabHrWdkBWMmBjz+aZFgMkPQbKNmK/I+I8IOXFx7KWrAKkv2WPU4eS7ElTyqEE0GkOcG87YGXHfr/e3gMaDgXS3wDPz7NlFKWxy6e+YvdVYgR7vOSL2GO3clvg3VOgXGPAqy6Q8RZ4fgEoUYldT5IPRBxgvzviPO73w9GDXc+7HhC8lt3HAPvdEqWxI+J61mSP0XwR+3i50TB2m9XoCkSdA2JvAT7N2TLX7M7+n/AQqN0HeHuf/X7mprPb3NOXPY6t7Nh9mxnH7sdWk4Dw3UANf/b7mvwcqOgHuPmweXjVYY95AGg3gz3PZKcAMf+9V6rJWPa4dK/AnlMqtWE/v2NJIOs9ELaDPW6yU4Bavdl9FL4bCjr+Clxdzm4Hn+ZAwy/Z4/T8XDZNZy/2e+bTHDgTANTpx27DnBT2PCe0Zrd/fDi7TUtWYbd70lP2WAXYc0mpauz5RLrfHgQB7hXZc7YoDXh2ij0OfXsB9m7s9ykzHnh1g/1MpWt9/Gzpb4Ban7Pb2cEdEOcDYTvZ76aVDZuXmw/w/Bx7DvaqzZ5fK7YGSlVhyyatjWsylj3OwAApL9n0hULAoya7TKvJ7Hkn7t7H86om1buyx35sCJu2S1l2X4TvAmr2BJ6dYJfzX8R+pxIj2DySo9hjLP4Be16xdQaqd2GXEeex54D8bPb8U6U98HAfm07dAQAE7DHiUY09liv4ATb6v6rDGCz+GCguLg7lypXDzZs34ef38YVR06dPx5UrV3Dr1i216+tSjUQIIYQQfihSw+17eHjAysoKiYmJnOmJiYnw9vZWsRYhhBBCPhUWfwxka2uLxo0b48KFC+jbty8AtoHthQsXMGHCBI3rSyuGMjIyTFlMQgghhBiR9LqtzQMeiwcrADB16lSMHDkSTZo0QbNmzbBq1SpkZWVh9OjRGtfNzGTfhGmSdiuEEEIIManMzEy4ubmpXYYXwcrgwYPx7t07zJ49GwkJCWjYsCFOnz6t0OhWmbJlyyI2NhYuLi7aD/imJWnj3djYWGoPwzO0b/iJ9gt/0b7hr0913zAMg8zMTJQtW1bjshZvYMtn1HiXv2jf8BPtF/6ifcNftG80s3gDW0IIIYQQdShYIYQQQgivUbCihp2dHebMmQM7OztLF4UUQvuGn2i/8BftG/6ifaMZtVkhhBBCCK9RzQohhBBCeI2CFUIIIYTwGgUrhBBCCOE1ClYIIYQQwmsUrBBCCCGE1yhYIYQQQgivUbBCCCGEEF6jYIUQQgghvEbBCiGEEEJ4jYIVQgghhPAaBSuEEEII4TUKVgghhBDCaxSsEEIIIYTXKFghhBBCCK9ZW7oAhpJIJIiLi4OLiwsEAoGli0MIIYQQLTAMg8zMTJQtWxZCofq6kyIfrMTFxcHHx8fSxSCEEEKIHmJjY1G+fHm1yxg1WLl69SqWLVuG0NBQxMfH49ChQ+jbt6/adS5fvoypU6fi0aNH8PHxwa+//opRo0ZpnaeLiwsA9sO6uroaUHpCCCGEmEtGRgZ8fHxk13F1jBqsZGVloUGDBhgzZgz69++vcfno6Gj07NkT48aNw86dO3HhwgV8/fXXKFOmDPz9/bXKU/rox9XVlYIVQgghpIjRpgmHUYOV7t27o3v37lovv2HDBlSuXBnLly8HANSqVQvXr1/HypUrtQ5WTI1hGGTlZ8HZ1pkzPV+SL/vbWmANgUCAfEk+bIQ2st9SOQU5cLB20CqvfEk+bK1stSqbqEAEoUAIoUAIBoxsunzeusqX5MNKYAUJI4G1UPHwYBgGBUyBQXnogmEYiMQi2FvZa3VA5xTkwN7K3qxl1EXhY0MXOQU5sBZaK11fWbry+6pAUgArgZXabZgvyUd2fjacbJxgLbRGnjgPAHsisRZYm2yb5kvywTAMe9xBopBHviRfaf5iiRgMGKXHqVSeOE/r75MliCViiMQi2FnZQcyIIYAAEkYCK6GVRY9fQ45TY6ZhjjS1USApAMMwsLFSnrf0HC9hJLLj2d7a3uB88yX5yBez1wQrgZXG76D0Ow9A9p0BuNcEbbehdDmxRAwxI7b498iibVaCg4PRuXNnzjR/f39MnjxZ5Tq5ubnIzc2V/Z+RkWGq4gEA6v9THwBQybUSjvU7BgC4+uYqxl8YL1umZ5We+Kz0Z/gt5Df8r/n/sPT2UgyoMQC/tvgVvQ/3RnR6NEbVGYVpTaapzet/1/+HCzEXsO/zfajgWkHtsoefH8asG7OUzvuhwQ/4vuH3unxMAEB0ejT6HekHMSOGl6MXTvU/pfDlnHFtBi7GXMTpAafh4eChcx66GnFqBMLehaFLxS5Y0X6F2mV3PtmJJbeXAADc7dxxZsAZONo4mryM2tr0YBNW31+NHT12oIFnA53WXRu2FhvCNwAAzg08B28nb9m84y+PI+BaAJa3W46ulbrKpk+4OAH3k+7jaN+jGHB0AKq7V8ff/n8rTf9ZyjMMPDZQ9n9g10CMPTtW9r+LjQsKmAKcHnAaJe1L6lR2dVJFqWgb1Fb2v5XACoNqDsLM5jNl8/0P+COnIAdONk44M+AM3OzcIGEkGHR8EAokBTjQ+4DSgOVZyjMMPzkc/ar3k6XHJwWSAjT6t5HK+Qd6H0CNEjXMWCLW9kfbsfzucmzx34Im3k30SmNbxDasCF2Brd22orFXY6OUa87NOTjx8gSO9zvOOf5NLV+cj892fAYAODvgLMo4l+HMXxe2DuvD16OMUxnEZ8XLpv/V4S90qNBB73z3R+7HvOB5nGnWAmts7rpZ5X75/sL3uPH2BgCgnHM5vP3wFgDwS7NfMKzWMKSKUtHzYE+0Lt8av7f9XWXej94/wtDjQ/Fdg+9k551FrRfh86qf6/15DGXRrssJCQnw8vLiTPPy8kJGRgZycnKUrrN48WK4ubnJfszVuPZVxivZ31MuTeHMO/HyBH4L+Q0AsPDWQhQwBQh6FgSADQAAYNujbWrTX3RrEY69PIbsgmwciDqgdtnb8bdVBioAsC58ndr1Vfnr3l8QM2IAQGJ2IqLSohSWORV9CrniXKy5v0avPHQV9i4MAHDu9TmNy0oDFQBIy03DrfhbapefcXUGJl+aDIZh1C5nLKvvrwYALL61WOd1pScMgD1pywu4FgAAmHaFGwxffXMVmXmZWH53OVJEKbiVcAsv01+i35F+OB19mrPsH3f/4PwvH6gAQGZ+JnIKcnDsxTGdy67O0RdHOf+LGTF2P92NLRFbAADHXhxDTgF7LsjKz8LZ12fZ8uRlIjI1Ei/TXyJFlIKnKU/R93BfXIq5JEtr26NtEIlF2P10t1HLbIiwpDD0PdwXwXHBiMmMUbvsirvqg3NT+ePuH2DAYPbN2bJpfz/8G4OODUJmXqZWaSwPXQ4GjMLF1hAHow4iV5yLPU/3aL3O6vurMezkMIgKRACA6VenY8qlKTp95+XPPZsfbsbQ40M538f14esBgBOoAMCPl37UOg9llG27AqZA7blfGqgAkAUqwMdz45HnR5CZn4lT0adUboPLsZcx5PgQMGA4n3PmdcsG/EVunJWAgACkp6fLfmJjY02W1+lXp5VOl0Ci1frSi4g25E+o2fnZSpdZH7YeK+6uULiQGMvF2Iuc/+UfLRWmKaDig9jMWEy6OAnh78IV5p2KPoWT0SdxIeYCErISOPN2PdmFOTfnQMJot591pW67auNm3E2dlpd/ZDnr+iw8T3uOn6/+zFlGGqTyxcrQlQAULwDWArYGRf4zLQhZgMmXJuNF+gvOBUJ6geKT0adH40X6C3x77lvZYzZVpEGapVgJrGR//3nvTzxJeYIdj3cAYGv6pPtI2zSMRd1jv8I2PdiEB+8e4MTLE8jOz8ap6FM4H3MeSdlJWqchH8jvi9yHiPcRWBu2FgCQnpuufcGNxMFGc5MCVaIzomV/vxe9V7rMxIsT9U7flCz6GMjb2xuJiYmcaYmJiXB1dYWDg/IdYmdnBzs7O5OXLT03HT9f+VnpPG2j8uMvj3P+/+veX+jg0wH1POupXW/Psz2o71mfU+WWL87Xu8ZEwkiw6cEm1Pesj5ZlW6pdTp65ahxUKRxE6GrZ3WUA2CDs4ciHnHnTr06X/V34Qr34Nlvz0blCZ7Qp30Zl+gciD8BKaIXGpRtjX9Q+jKg9QqtHY/IXWn2lidIQkhCC9znKTzic/MQf8/uQ/0HpMncS7miVr7EDOKFA/f1SgaSA87+V0Eph+qXYS1Cm8Lp8IG1DAADHXxxXs6Rpg5U9T/fA1dYVPar0ULmMsvZNH/I/IKcgR3bH/VXtr9Qe87oEFuo8S3km+/t52nOd18+T5CFFlCL7X5cbBnXf100PNulcFkNp0/5RlYNRB2V/C1C0xiWzaLDi5+eHkydPcqadO3cOfn5+FirRR+ruyvS9C938cDM2P9yscOFUZub1meheubvsy55doLy2RRvnX5+X3Qlok7eUqWoWtDXhwgSz5KMqKLubeBd54jx0qthJYV6aKA1zg+dypj189xBbu23VmF9UquLjNXnPUp7hVcYr+FdS3cj89zu/49hL7R7J5Ek+3sHL79NX6a9Qya2SVmlIGVorVJimE2bh/KTBjTYBn3xgwEd3EtUHiLniXLXz9ZEvzsfGBxux8cFGAFAbrCirFbESWnGCQE21Q8aoWQlLCsNXp76S/a/NdsnOz+bUjDMMgwW3Fsj+1+VCre4zpOWmaZ2OsegbrBR+hKfpRoFvjFraDx8+ICwsDGFhYQDYrslhYWGIiWGfzQYEBGDEiBGy5ceNG4eXL19i+vTpePr0KdatW4e9e/diypQpypI3K2U78l32O6SJ0sxWhojkCNnfmx9s1mndVFGqbP3CVenakl7YHr1/xLkrMZdnqc80L6QldeVXdQHeErEFky9PxpP3TxTmKauhkLavMdTAYwPx05WfcC/xnsplnqY+1To9VYH354d1byynKoCVMBLcS7yH4LhgnarGNfXwKhxISi8ymi6S0jIZS4ooBY/ePzJaegDw+P1jtfN1DVaepTzDu+x3apfZErFFFqhoouwcaCWwwr7IfbL/NQWvxghW5AMVgG04qsmS20s4bbui06M57Tl0oe7m1CK1E3reLxRu66aqlpWvjBqs3L17F40aNUKjRmwL96lTp6JRo0aYPZttqBUfHy8LXACgcuXKOHHiBM6dO4cGDRpg+fLl+Pvvv3nRbVnZF7Xjvo5oE6T6sYCxfXXqK4S/C0dyTrJCexJNuh3ohqEnhiI0MVTvEwYDBg/fPcSQ40PQLqid0mVyCnLwIe/jQZ8qSuVl9Xv7oPYq52m6qL3OfK0wLTknWWGaLieuVFEqxBLuSTA5J5lzcVZX3S1tu6GNu4l3tV5WE4ZhkJyTjDRRGqd2Y3/kfow8PRLfnvsWg48P1jo9TXd3qi4U2jSyNOZx2HV/Vww5PkRp+ydT0aXNTXR6NAYeG4iO+zqqXe5CzAXO/+qOfel5I+5DnGyaUCDE7YTbsv81PSqWPrYzJm160kkbYkvtecY9XnSpIVRVeyIdOsKY8iX5GoN9ffMs3Elh+MnheqVjKUZ9DNS+fXu1B++2bduUrnP//n1jFsMozFFFxjCMxjvLFXdX4F6S6jtsVaSPja69uQZPR0+9yxeSEML5v7CWu1uiQFKAO8PuID4rHr0P90Z9z/rY2WOnXnmqysdQ6k5Omk5cAghkZRIIBDj58iRmXJuhdDlttQ1qC78yftjUlX3mvffZXvwW8hu+q/+dVuvr+4hDvlebPAEEWp3Aj788jr/u/wUAqFGiBg70PgCGYWS94QBuLwRNNAXSqgIO+Wfvuq6rD2ktx5XYKzp3Ozc0T21oG0SJxNwASMJIVJ7rBAIBIpIjMPTEUNk0oUDIqaHQ9F01VpsVeYWPGWXn0az8LLVpGKPWbcjxIWhQ2rjHQv8j/fEq4xXODVTd+7FRadXd3XVhidpyQxSth1ZmZOpgJT03HZ33d8bCkIVql9MnUJEXGBHI6dKrCwkj4ZwEWu1pxZnPMIzsghCbGSvr1vrg3QM9S8uaenkq+h7pa1AautAmOPrhwg/44tgXKJAUKA1UAO1GYZQXHB8s+1t6sZevolc3RkxugXHbM2hb+/Yy/aXs78jUSGwI34D2e9vrna+671lUapTCRUXCSJCUncRph6OKKXo4mbMdjC7Bir4BvqaalR1PdihM4+SrIcA1xXlUPs3Dzw+j1Z5WuJ+k2w2vqkbZuniR/sLo7fqkNxMno0+qXGZd+DoEPgw0ar5FAQUrKpg6WNkfuR9J2UnY82yPQtUsXxQ+ERVuoCU/nwGj8MW9l3gPQ48P1Tl4OR9znnNRNDVtTrjX317Hs9RniEqNUnlhN+T5tbJ11QUQxu6Wq2/D2bVha9XeoYkKRBhzZgy2RihveKzuMy67s0whOMjIy1CZVmGmaCAukZiv0bn0MdusG7Pw6/VfjZJm4e2tbhsJBUKF41KX9QHdHlcqI9+TTUr+pmDWjVnIzMvE1MtTdUpX3xu4wrQ5xn6/87vO4zlpGs9o1b1VnP/FErHZOiRYCgUrKphifABVJl+abLa8dKkaZxhG7QVY/m5GvpYFAKZfmY6Rp0ci4n0ERp0exVkvNjMWv1z7hdMd0RzOvT6HOTfnKJwAdbmoxWTGqLxj17VmRdO66rZ9Uo7240Row1TjrBx6fgh3Eu5gRegKzAuep9CLR12bBqFQqNCux0Zoo/WjhcLHekRyBH659otBXeLNPR5NiigFh58fxpEXR4wypkfhmzBdgxVdj3FtblTSc9Pxv+v/Q0h8iMK8q2+uKi2XMWyL2GaUdDT59/G/uBBzAQ+T1ffE1La9mjL3ku7hypsrepWvqKBgRQVDLjyaiApEJk1fHWXR/b3Ee0rvVi/FXlJbTvkghAGDuKyPDfFOvTol+7vwBerHiz/ixMsTGHJiiC5FVxi3RldTL0/FwaiDahvb7X22V2E9+RP6T1d+MqgMurDUMWIM0kcY8o+r9kfuVxhbRN2Fx0Zoo3AxXRu2VqvxR97nvMeTFG4vrqEnhuLEyxP49Yb6Woo3mW+wPny90uDA3MGKfK8nddtK25oxXW7CtAkKNOWbma95xNuVoStx9MVRfHP2GwTHBWPnk4/t3ZRtb6GSy5Y+tZrLQ5crBMO60lRbIh1ED9B8o2hIGyt9axFfpL3AxvCNKgci5ROLjrPCZ6asWfnz3p8ITQw1Wfrq/P3wb1QrUQ2dKnSSNZYbd36c0mV3PNmBqY21q14NTQzVakj8zLxM2V2Drl/OgGsByC3IRf/q/Q26kMv3bgA+nnCepjzlNBQtPF+TwifMnIIcXI69jJZlW8LNzk3tuspONuZo5B2bEYvItEijp3s6+jRshDbIEXMDi8I9K9R9zy7HXlYYUyJFlCJ7lYU6nx9S3S07NkP9qNfdD7IvY10Xtg6LWi9CQ8+GsnnHXx7H1MZTcT/pPko5lDL5u3vkA321jcS1OEaz87MVAjh1aSrbN/sj93P+v/rmKiq7VdaYtzqvMz72tvv23LcA2MbbTb2bKi2fsu+FvueDy7GXlY6jpC1NNZxL7yzVOq3rb6/rlHdMRgxepL0w6P1D0raBablpmNFsBi97ckpRsKKCKe9qCzdaMyfpKLhf+n6J/tX7qwxUpLS9k9T2IJ9ymTuGTnpuOlJFqbLByTSddOcGz4WTjRO6Ve6mVX7KFN63V95cQc2SNVU+HtD2riW7IJvzlt+lt5fiQNQBNCrdCP90/0fncr7NfIunKU9Rxa2Kzutqq8ch1YOCGUJV7UXhC42mgEzfUVzV3dGre3ts4eO48PtQMvMy8ePFH2WNo3UZZFEf8o9K9W1Em5SdBAkjUWjnoClNgUCg8H6wwj29/rj7B5p5N0OtUrX0Khug/BwjHRvKycZJYd7ztOfwK+vHeauxvoH95MuTsanLJviV1W8gUmMNt5+Ylajzu4R6HuoJANjUZRNepL0wKP8dT3ZQsFJUmbPNiiXseroLu57u0rictheLWiVrcd7yqUrhlwu2C2oHMSPGkb5HUMWtCufdFarcSbhjWLBSqAZk9f3VqF2qtsoTt7JxVlSZeHEiNnZhe/RI35+krqcCwzAqRydeHrocCAU+K/2Z1vnzXeHvlSW+Z+pGv9XmZC3fi8vU5IN7dUGzfA1ETkEOJIwEDMPA3toenfaprjlQV7Oi7EWgyrq4P097zglWdA2qlG1z6XdU2Ru+/7r/F669vca5ATCkcXtEcoTewYpObQDVbGv5R+i6WhO2xuAemFJ8e0eYPGqzokJRe2+CqWhbq3D0xVGdxteQkn457sTfQaooFX0O99G4jqFDvivbt4EPA1W+oFKXR3bSlwwuv7tcq+V/vPgjWuxqoXYZXbqva/NyOUsqfAdsiXY5bz+8xdLbyqvnLf2KCXXUXUjkvxPNdjZDi10t4LfbD9sfbTdqGZQFlzZCG87/9f+pr1OayhqeSo8LVd/1wjcAhjwyNeQYNNbxYkg6xgpUAApWiqSi3LjRmN5maheAHHlxRO38NffXaEzj2ttrWuVlKGX7NjI1UmWvLH3u/rc92sb5f/GtxUqXu/zmss5pq7MlYotR0zM2hW1ppndlFu7aqupRrLHffWRM6mosVM1T9uiHs54RPq8pBn6T3lAUbl+maXl9hMSFoNPeTrj2RvfzjyFBxpvMN+i6vyv+ffyvxV8aW8m1EgAY3ODYlChYIWrJ9+oxxMYHG9Flfxe1y2j7xTe4ZkVJsJKRl6FyeWOcjLV55GZMxr6jNpYFtxZw3l+jqjbLEMvuLFOYpqnxd644F+MvjMfup7uNXh5jMUWtjzEukqYIVqQ1JX/d+0ur5d98eINLMexAb8r2vzq3Em4hKScJP1z4QbdCQvWI0MoUDqiW312O+Kx4/H7nd4sHydJRzqUvvOUjClaI2agb32LBrQWIzVTfS8NYdL0Lq+ha0UQlMZ0/7v5h6SKotOzux4uJKe4o/3mse2PmA5EHcPXNVfx570+jl8dYLH1BAwBlXx1TtDuS3lBo88JKKWkDVX32vzkU3n/yAx5aumZFug+16WlnKRSsEN7Y9GCTVsvtj9yvtpGkJroGK5EpunXtXR++XqfljU3XLpDmJv/mclPUrOhD3zfQmvMio7bNip7lMEZjWFM9BmIYxqCGp/q4HX9b80JGIn8e0vUN28YWEh+i9OWsfELBCimSgp7qfwega3ukWwmKvSLUWRe2Tqflje37899bNH9NguODPz5240FlAWDAxd6MH0BZ7xxDy2Hou8cA3Rq3iiViXH1zFdffXsfLNNWv1BBAoPDmZHMYe3as2fKS725cuI2bJfxwXvfHYOZEwQopkjQNXa1OTEaMEUtC9CHtjcOLRxvQvxzm7D005+YchCWFKZ2nb/knXZrECRr0+Tzyg7ppsuPJDoy/MB7fn/8efY6o7vknFAgRlRqlcn5RVDggTsxOlP1tyPnMWAoPGMg3FKyQIsmQx0CWuGMjXEdfHAVg2a7C8hcPfS/25m5rEBxn/DFeIlM/PubUpzfIbyG/af0y1jOvzmi1nAACjTWglm7nYSj5x0CaRrgmFKyQIurc63P4++Hfli4GMZAla1a+Pvu1fEH0Yu7yrwtfh/OvzyuWw4ALt3zAWPgt19ra/US7XlTaPoLVZrnCo2EXNfKf0ZCXa34qKFghRRafe24QzVaErrDo3fHthNs4FHUInx/6XKdRiuU13tEY3Q50w/2k+xh0bJDWXW0NoewibUjQJF9Lqe9w69p24dW2cbs27WC0rc3hK3O8+6s4oa1FirT1YZbteUP0tzViq8XbrMy+ORuvMl7hxMsTeqfx9sNbjDg1Ak9SnmDzw81YGLLQiCVUZIreN1L6Dgqm7WOMwvt7+pXpSpcTQKBTWxhTyCnIURhM0BCFP7uyt0cT1WhrkSJN+mJGUjT9el35Cw+Lsj3P9iA6XfM7rvRlK1T9IkZ9yF9E9X0MFJkaiUfvHymdd+zFMex4vEOaGYeqQScFAgFORRtnQEp97X66W6s3yeuNBknXCQUrpMgr6g3tPmWWrlkxFVMek9kF2Yj/EG+0/OTXNeStu0OOD1E6feb1mVh6ZyneZL7Ren/z4d1sablpJk0/M0/1m8GJIgpWiFqmrHI2luJ6wSNFl42VjeaFDNDvaD/O/8b6DpjyRXapolStu+jq+242fV6mqgo9puEX2htELT6/hVaKz28KJZ8mUwxBLy8rP4vzvyE1K+9F72V/G1KzosmSO0u0XlYIIVqUUf82cmW6Heim8zqqmPJltlQbrDsKVohaRSFYoS8+4RtlNR3SF+2ZKz9t/XnvT9ljJVO+dffBuwdaLysQCIpEra6+TBkUFlcUrJAirygEVOTTouyY3PxwswVKop3rcez7pPhSS2lrZWvx77Upb4LyJNq/oJGwKFghRV7TnU3R57DqobsJMTdlFzpT3k0b68Jq6QBBimEYk9byqPP12a+RL8k3els4+X3E95cG8hEFK6RYeJmu+qVohJib/EV/zf012PRgk9EDgX8e/fMxPwPfXl24d5GlMWD07kZtqFvxt3A19qrRg5Vfrv0ie4Hn5gf8rWXjKwpWCCHEyAIjAsEwDJJzkrHxwUasvr8az1KfGTWPZXeXITo9GmvD1iIjN8OgtKSPqPhSsxL3IQ6hiaEWyz9fkm/0N4K/y3mH1fdWA6CaFX0U3xZMhBBiIYefH0abcm1Q37O+SfPpf6S/UWsgDK2hMZZfb1h+sEBTDImQkJ2As6/Omrxre3FEwQohhJhAZGokGpVuZNI8jP2oxNC2L3ypmTFU+LtwlSPyGuJy7GVcjr1s9HQ/BRSsEEKICcRnxcvaKBQVhgYbxSVY2fFkh6WLQAqhYIUQQkzg6IujOPriqKWLoRNDgw0a84iYCjWwJYQQYhR8afNCih8KVnikR+Ueli4CIeQTRo+BCF9RsMIjs1rMsnQRCOEFHxcfSxfhk2RosHEw6qCRSkIIFwUrOjD1y8mEAtodhAD0XbAUQ7vrLrmt/csKCdEFnRF0UNa5rEnTN+VbPgkhRBN6jEP4ioIVHZi6ZkUAClYIIZZjioHQCDEGClZ0YOqqaar6JoRYEtWsEL6iq6MOrIRUs0IIKZ7+fvg3jZNCeMskwcratWtRqVIl2Nvbo3nz5rh9+7bKZbdt2waBQMD5sbe3N0WxDGbyx0DUZoUQYiF/3vuTalYIbxk9WAkKCsLUqVMxZ84c3Lt3Dw0aNIC/vz+SkpJUruPq6or4+HjZz+vXr41dLKOgNiuEmAfd4VsGtVkhfGX0YGXFihX45ptvMHr0aNSuXRsbNmyAo6MjtmzZonIdgUAAb29v2Y+Xl5fKZXNzc5GRkcH5MRdTPwaiNiuEEEuimhUi9VXtryxdBA6jXh3z8vIQGhqKzp07f8xAKETnzp0RHByscr0PHz6gYsWK8PHxQZ8+ffDokeq3XS5evBhubm6yHx8f8w0e1a1SN5OmT4+BCGHRHb5lfAo1Whs6b7B0EYoEvtX0GzVYSU5OhlgsVqgZ8fLyQkJCgtJ1atasiS1btuDIkSPYsWMHJBIJWrZsiTdv3ihdPiAgAOnp6bKf2NhYY34Etb70/dJseRFCjMtaqNt7W3f12GWikvDXp/BunwJJgaWLQPRg8ecOfn5+GDFiBBo2bIh27drh4MGD8PT0xMaNG5Uub2dnB1dXV86PuZj6MZCxNfZqbOkikE/Iv93/tXQRVGro2RCTGk3SaZ16nvVMVBr++hRqVjLyzNd0gBiPUYMVDw8PWFlZITExkTM9MTER3t7eWqVhY2ODRo0a4fnz58YsGq84WDuYPI+xdcfij3Z/mDwfQqQalm5o6SKoNKruKLN874o6arNC+MqowYqtrS0aN26MCxcuyKZJJBJcuHABfn5+WqUhFovx8OFDlClTxphF45XZfrNNnoeV0Aql7Euhb7W+Js+LfFoG1Rikct76zuvNWBLtCS1fiVwkfAqPgeys7CxdhCKhWLdZAYCpU6di8+bN2L59O548eYLvv/8eWVlZGD16NABgxIgRCAgIkC0/f/58nD17Fi9fvsS9e/cwfPhwvH79Gl9//bWxi8Yb1gLdnp3r46taX0EgEOC3Vr/p/KyeEHVm+al+O3jrcq1Rp1Qdg/Mw9uMI6RhOhhrfcLwRSsNjxf8pEJqXaW7pIhA9GD1YGTx4MP744w/Mnj0bDRs2RFhYGE6fPi1rdBsTE4P4+HjZ8qmpqfjmm29Qq1Yt9OjRAxkZGbh58yZq165t7KIZxZCaQwxOwxy9ftzt3ZVOX9dpncnzJp82PnbBN8ZdYo0SNfB1veJ7EwV8Go+BqGZFO3zrnWqSW+4JEyZgwoQJSuddvnyZ8//KlSuxcuVKUxTDJKqXqG7pIhjEkAtJGacyiM+K17wgKbZ8S/pqXMYYgyca+6Kp74nXy9ELidlsGzwGjMkHhrS0T+ExkCn24dXBV9E2qK3R0yUf8e8WiOe0OVnzjfxdpb53mBMaTkDNEjWNVSRSRM3xm6NxGWM8dvzM6zOdlu9asava+UKBUK+A5XCfw7K/GYbh3d2msYUlhVm6CCZnin3obudu9DQJFwUrOqrvWR+rO642errm6qkQnRGt13o1S9ZEjZI1jFwaUtRI70qP9j2qcpn6nvUNzqdXlV74o90fWNR6kVbLezmpHvUaYIN0fQJ1Z1tnhWlBvYJ0TqeoCHpWfD+blCkeUxb3IJYPKFjRQ3uf9gatr+ykubfXXoPS1Da/mIwYvdIQCoTF9nm9MRqEfmoqu1VWOW9cg3H4oeEP2P/5fmz136pX+gKBAP6V/FHGSbtegZoCEX2DFXnSRr+1S/GzPR3RDh/bVBHNaK/xQGmH0qjkVskseel7ByAUCIvtOBXf1f/O0kUwqZ+b/GzW/BysHfB9g+9Rs2RNNPFuYta8VSlqAzoSYkn/dv+3+HddJtoZ12Cc7G9zvgdF3wOwON+N8KEK15QD+Bmzq6a539ljrPyshda82M+EqDOwxkBLFwEAPwd4LL5XIJ6TH69B/oQ8pu4YSxRHo2IdrFj4DsJGaAP/Sv46raPuOBlWa5ihRdLK/JbzzZKPNlTtw7bl26KKWxWjtKOxlEmfTYKTjRNG1x1tlPT4ckEkimqUqIGJjSZauhi8VHyvQEWIfDfNKY2nmDSvNuXbyP6u4lYFAODh4KFxveLcZdPSd9zSQLBWyVpar6PuOGlZtqXWDVMN0a96P3Su0FnzggYwNJBc03ENDvU5BBuhjd5p9a/eHwDwQ8MfDCqLvnpU7oGbQ2+iVdlWRklvZrOZRkmHGJ8x2lYZDU+KIUXBCg+Y+uVh8hdjb8eP72ja1XMXrgy+olUkz5svkAlYutZIum139TTeW37lP5MpgzFLB3qaCAQCg/fvXL+5uDToErpWUt892lSEAqFRj1Fd91k192pGy5uoJ4DAZCPsru+8HqXsS5kkbXOgYIUHzNkOoID5+Hp0eyt7lLQvib7V+mpsM0ENFE1HevEw1msRPB08jZKOJakLjs8OOIsDvQ9oTKO0Y2lumnoGVgKBQKvax6JC1xuPBa0XwNXWfG+3N4dOFTpZughKCQQC1Pesj5XtjT9QqrONc5HuJEHBigUUPmmaeohr+ZOTk42T7G9pACIUCNHYq7HaNFTd2VVwqSD7e2ePnYYU02L0ecmdLi/s29B5g87p62uu31zUKlXLKAMBKqNPYF3OuZze+SkLMMo4l0GNEprH/Nndc7fe+fKJsWs1da2lsbey13h+KGr4/s60uh51zZbX313/NltehqBghQcMOZnrk9cvzX7B4jaLOdNthDZq11N1QZ/ZfCZG1x2NoF5BvGvEqGlUUxk9rgWty7XWetlW5dS3NVA3ZomuPq/6OQB+PZ5Z3m45BlQfYNI85D/vqDqjcGnQJcWalSL6KNPYNa+6HhsCCMzeC8zUXGxdMLA6/xoam7pJgDKqHjvx7fvC39DyE/Bv938RGBGI6U2mmzSfwicnZb1F3OzcYC20RoGkQGEeAAiFisHKwBoD0bJsS40XY0sZ12Aczr4+q3E5S30pV7VfhcPPD2NGsxlGS9PkQUqhc6k2J9c6HnVQx6MOvJ28sTZsrW7ZaZH+mLpjOLWT05pM0ykPvrN0myoI8Em8jZkPTBkUGuvN45ZCNSt6qupW1eA0GpZuiNUdV8PH1ccIJTLcpEaTVM5TVrMyx2+OwsE/q8Uso5dLX9q2szHHF3hz180K0z7z+gyrO61GeZfyRstHGnhp+xhI1y7ThYkZsdbLmioorFGihlZp8+1ErW2Nmr7Byly/uUb5PhbHmhWAf8cD8DFYMdV3xRI1N8ZCwYqefm5q3lFBzUHdl1fbE+agmoOwsPVCYxXJINp2t9b3xKCue3Dhxx4tyrRQWMYUd8zK0lS3Xz0dPA16Zj2x0UQIBUKMrD1S7zTU0eaCwrfqam2pe7+SPOnn07Vt24AaAzCo5iCdy6Usf1XBiikHM/wU6RtMVC9RHSf7nzRKGawF7AMXvn2vPonHQAzDoKCgAGKx9neBAFDGlvteEpFIJPtbWCBUmK8tYYGQk1ZhP9b9Efsi9+mVtpR8+l62XsgV5ipML8xWYqvyMzH5DEQiEWe+qrS6luuKDgM74EP+B4w8ZZqLmDYk+RKt9pE++1IkEqFLuS5Ybav4Ustt3bbhVsIt3LS9KVsWUDye8nPzIWK421DbchTeF1K5olwIBAJYSaxk8yV5qreDPWOv0+eX5Es4+93HwQfXB1yHjZWN2mNLmpfW27ngv+2Wr/p7KJ1uJbaCAxxk/6sqh1WBlU77Wd3n8S/njwfvHmidlqr0tSmPLWMLkUik9fEsnz6gfPupS0cCCdIK0pArYc8ZAoFA5UXUmAH31cFX0e9IP7wXvde4bJeKXXDu9Tml80ral8Tunrvhf8CwWkNLkNWs6Fjrs6/XPiRkJ2hcTlW65ZzL4e2HtwCAX5r9olPe5iJginK9EICMjAy4ubkhPT0drq6K3evy8vIQHx+P7OxsndOO+xDH+b+sc1nZ37kFuVp9qZQpaV8S9tb2apd5n/MeueJcvdIHuGWNz4qXnWzkpxf2If8DMnIzlM4r7Vga1kJrzjZRlxbA3gkmZGn+ApmKl6MXErMTNS5XyqEU3ufoti+ln73wMeLl6AUroRWy8rOQnpuudllvJ2+Fk33hZdTlr2xZaV45BTlIFaUCYPddUnaS0nScbJxgb22v9ef3dPCEjZX6xtiqZOZlIjMvEwB7kVNXU1DKoRTsrOyQJ85Dck6ybLqdlR1KObBjRUg/fwn7EsgX5+ND/gcAqo/L7PxspOWmaV1edcc3wzCIz4rXOi1V6Wuzv6XlEBWIkCJK0Sl9QPl5TF2+DBhk5Wdh65uteJHzAif6ncDi24tx/e11hWVXtl+JKZeNM5DljaE30P9If62+s2FfhaHNnjbIzM9UmOfp4Im9n+9Fh70dlK77cORDAMDiW4ux66lxxjZ6OPIhfr7yM06/Om1QOr80+wXDag1DUnYSOu3Tvnv1w5EPEfchTm2AtqPHDgRcC0BsZqxsWptybbCu8zqICkRIFaVCJBahkmslCAQCrApdhcCIQIV8jEnT9Vtesa5ZkUgkiI6OhpWVFcqWLQtbW1udItaCVG5j08olPj5jzsrLglWWfmOPlHEqo/TV8/KcspyQnpeuV/oAt6ySVAkkkChMLyxVlMq5MMir6FIRtta2nG2iLi0AEEvEkKSbtlu2OhVdK8KH8UFMpvo3TZdzLgerD9x9qa6xMfDxsxc+RqqVYAfQShOlwS7HTu2yFd0qKnSfLLyMuvyVLSvNKzMvEzZZbFBR0aUiIHdOr+BSQbZN3Gzd4G7vDqsM7Y5lH2cf2NuoD7RVSclJkQX4ld0qIzo9WuWyZZ3KwsnWCdn52RB++BjQOdo4ynrPST+/l5MXcgtyZYGIquMyPTcdttm2WpdX0/EtSBNwxi3Slap9qKocogIRrDO1O2XbCm1R0a0iAOXnMbX5MkB+Zj5GYzR+e/Hbf5OU39Mau92HtvfOVkIrVHStiIj3EQrzxIzYIiNuz2813+BgxZzWdlqLJl7si0btre1Rxlm/JwXmUqyDlby8PEgkEvj4+MDR0VHn9YU23Ltee/uPJ+kCYQGEefpVgdra2cLeTv0J30ZsAyHDpl/BtQJiMtRfcAuTL6vQVihrzS8/XSFPxgbCgo+fydXWFRl5bE2LnYMd7KzsONtEXVpSlawr6Vx2gL2zthHaGFQzY29vDxsrGwhF6veTnb0dhLncZays/t/emcfHdL1//DMzmZns+76HbEgEQQS1hiS2SBW1VKKKWoqvWlvf2r4EtVYtpYmoEkKD1FpFrCGWxB4iYk+iSEJknzy/P+Y319zMTGYmgqj7fr3yemXOPctzlnvOc8/yHAEqJaoVLVneZeUhFAjhYOAAXZHUXZ+nz5RlVb8y9HT1FDYBV/VTXfryfh2NHCHgCZj0S3mlTPsU64pZZWBiaML81tPTg7G+MQzKDVBcUaw2XbGuuMbKirBSCL5Emq6hviF0inVQSZXQF+qjqJw98ynWFUNXpAuJQMKqGx2RjkJ5isQiVAoqwa9kl3dVyvnl4Jdr/s6qa998EZ9JsyZUrUN1cuhCF9ABM11fHfXM6jEzYMr6MXXpCo2EMHhhAFMdU+neBRU6RE1sFKmCBx7zUaUJqpagiOi9nKDS09FDE6smSPsnrcZxyJS1muwX0TZMO8d2WqfxPvkoNtgqO3Zb15H/MjASGb0XGcx0zZj/a7rZqqayC3gCZrr/baM0b1oujpqITWAgem1wz0hkBEs9SzgZKT/pZWtgW6tWgU3EJmpn6+RxMXaBuZ45U8YmYpNak0VT3EzcYKZrBkfD2jsNVR2GQkNY6FnU6umrd42prql6P2LTGi/VMfCk7wUffEh1lXczs6LNJmJVaRNI4Zmy9l2XTwO9DbTtw+ta+Xx4o/hHgoWuBQxFhmr3hfwbEQqEGikqRiIjVqes6mvqfUxv8ng82BjYwFisuA5rJDJSmT8XY+nSkFAghKuJa83TV9MxGYoMYWdgp/UXaG12pro6urA3tH/zgVVDeDwebA1sYSI2eafpfujw8G422GqLKkOWEpIomJV/V8tCbzrAMzMrWsQzu/XsWkm7rsMpK3UU2Zqs/OzGu6a2TLab6ZpBV0cXYh0xy12VuWsXIxeNOkFNLf+a65pr5O+NqKUx3FBkCC9zL3iaebKuRqiOf3snpQnatk8zXTN4mnm+m7bxgcPjqT66XNOrQnaF7VJq40eb+L4P+F6pOxEpKDLfNv8W9gb2b/2ky5ueV9H2Y8BIZMTcCl7b1LWjy5yywqEaubb6JgOivaE96pvWV1jf9jDzUFBgtIHH46FcUl6jsPLLU2KBWG3+3tcMl1ggLR9lX4Y2BjYA3u11Df826vL9MMooKytDaItQpKakvlEcXZt1xdU0xc2pyuCBhzFNxih91tS6aY1kUDYQamt8zt3MHXvC9yi4yxSeRhaNGDcnIycc/Owgy3p3XRuMAe1nqmSn6zRFmzzXNUOAnLJSR+nQoQMmTJig4L4rbhcC6wcyv1ctWgUfKx+M7DdSwe+PP/4IHo+HiF6vbZ3MmjULTZo0Yf2WmWG2NbJFW6+2iOgZgU1rN6G0VPnR6dnfzkZjm8bYvl3RFox8fDo6OrC0tES7du2wfPlyhfg6dewEDzMP+Fj5sP7Gjhmrslx+GPcD408sEiPYPxhLZi9BaQk7bh8rH4h0RIwssjD7dkoNJyWfSIaPlQ9eFLwAn8eHt7k3K7z8izqi7whYGlgi66r09Mqj+48U4rU1tGXceDweYmNjkZSUBB6Ph/z8fPzxxx9obNMYudnKj2V6eHhg4sSJzO/k5GQIBAKMHzweDSwaKO3ELPUs4W3uDROxCTp06MCkLRaL4V3PG2MGjcGhPYeU3n20Z88etG/fHkZGRtDX10dQ2yDsitulstyrEhcXB4FAgDFjFAcxWb5lf1ZWVujWrRuuX72ucfwyGno0xKa1mxTcZ82ahT4d2Ib3CvIKsOD7BXBxcYFIJIK9vT2+/PJL3L/P3uAdGRnJyGZvYq+yDQHAw4cPIRKJ4OOj/GI5+XYb4BaA/l3648j+Iyw/Vd9ZGcXFxWjt0RptvdqirLRMbVkAwNq1a+Hg4oCmLaVKQllpGaaNnoYAtwB0D+iO5GPJLP8//vgj5k9jGy8UiUSIHB2JZXM0u9mXBx6aWDfBsf7HFJZXDIQG2P/pfo3iYcWpwnaLtjMTygZfmbLyW+hvWstVm/So1wNnB57VKsyHpjy/Szhl5V+AlY0VUk6lIOcx++RMTEwMnJ2dVYR6TaNGjZCdnY20m2mI2RmDrr26Yv1P69G5XWe8KnwF4HWnUFxUjP0792Po2KGIiYmpNr779+/j6NGj6Nu3L6KiovB5yOdMfDK++uorpN5ORdLVJOZvzvw5SuOtZ1oP+jr6aNupLZKuJiEzMxNzFszB9o3b8cviXxT8/xr9K7Kzs5Gdnc3E3TlUue0CVV802Q+zkXYuDWPHjsXOLTsBALYOtqx4I0ZHwKuBF+OWnZ2N/v37s+Lp1asXTM1NsXvrboU0jh8/jtu3b2PYsGGMW3R0NL755hscP34cOdmqT0TJb9IdPnw4srOzkZmZiU1xm1Dfqz4mj5iM0V+PZoVZuXIlwsLC0KZNG5w9exaXL19GeN9wzJk8Bz/O/FFlWvJER0djypQpiIuLU2k87ebNm8jOzsbBgwdRWlqKwZ8NRnlZzWbC1JH3PA8DQwbizPEzWLt2LW7fvo2tW7fi9u3baNGiBe7cucPyHxISguzsbNy5cweLlyzG9o3bsWqR4r1FsbGx6NevH168eIGzZ9kDj6RSamTyfz/9D0lXk7Dt721o2rIpJn45Ebeu31Ir8x9//AF3L3e4ubvh8L7Dav0TEX7++Wd8Ouj1tP/237bj+qXr2Lx/Mz4b8hmmfj2VGfCzsrKwfv16jPt+nEJcvfv3xsWzF3E7/bbadGWzjua65kjsncjskZBhKNR8YzcTp4pZFK2VFbkZUSOhdLZUdpmn/DutLN7mts21SksVqvbO8MCDvlC7U6hvMttT2zNFdW3m6aNTVogIReVFGv2VVJSw/uSfFVcUKzxX9/e27O+ZW5qjdYfWrIHw9OnTePr0Kbp37642vI6ODmxtbWFrbwvPhp4YNHwQYnfH4vq164j+SWoUSNYp/JX4F+p71cdX47/C8ePH8eDBA5Xx2dvbw9fXF9988w2OHTuG9Ovp2LKabYTJwMAAzg7OsLSxZP5MjJWfTNHT0QOPx4NILIKljSWcnZ0R+XkkOnbuiHPHzyn4NzE1kebL1paJW6yr3bLTzridaN+1PUaNGoU/4v+ApY4lvC29WfHqG+i/LsP//9PTY3+BCoVC9OzbU6myEhMTg4CAADRqJJ22LiwsxLZt2zBq1Ch0794dsbGxGsmqr68PW1tbODo6okVAC0z8YSJmLp6JmF9jXn9x5wPffvstJkyYgPnz56Nhw4Zwd3fHmPFj8O3Mb7Fx9UZcvlC9ZdasrCycPn0a06ZNg6enJxISEpT6s7a2hq2tLZo1a4YJEybg4YOHKM4uhoeZh0b50Yao2VF4kvMEv+74FaGhoXB2dka7du1w8OBBCIVChRkgsVgMW1tbODk5oU94H7Rq1wrJSexZCSLChg0b8MUXX2DgwIGIjmYbyJKdMDEyMYKljSVc67vim+nfoKKiAiknU9TKHB0djR59e6BH3x5I2KK8DOW5cOECMjMz0b5Le8btTsYddAzuCHdvdwz4cgCeP32O58+khuNGjRqFhQsXwtBIUZlo6tIUTVs2xf6dymdFVJ0OszWwhY2+DcutJrMB1Z3kkWd3791YG7RWZTwyBQUA9ny6Bz+2/xFTWmh2MWwnp05Y0XEFDvR5M9soqszca7J0zufxERP8+qNP2d1etUVdUz605aObcyquKEbAFuVXYr9tYoNj1VqurSnhA8OxdPZSjJwoXQ6KiYnBoEGKtytrSj2Peuga0hV/7/0b4757/WWWsDkBPT7rASNjI4SGhiI2Nhb//a/6y9K8vb0RGhqKg38exPApw1nPqr5Esn0ayuDz+NAV6DJHgq9fu45zZ87BxcVFm+xpBBFhV9wufL/ge3h7e8Pd3R1//fkXvvjiixrF9+mgT7FxzUacPXUWzqHSGa/CwkLs2LEDy5a9npKPj4+Ht7c3vLy8MHjwYEyYMAF9RvZRFW21hH0ehqWzluLvvX8jsH0gEncmory8HJMmTVLw2y+iH1bMW4F9CfvQ2L+xyjg3bNiA7t27w8TEBIMHD0Z0dDQGDhyo0n9BQQG2bt0KADAzMINIoLlhNk2orKzE7j92o8dnPWBpY8l6pqenh9GjR2PGjBl4/vw5zM0VN9Reu3YNaefSYO/0el+SWEeMo0ePoqioCEFBQXBwcEDr1q2xbNkyGBhINz7bGtgCADN4V1RUIOF3qdIhFFV/0uh+1n0kJydj3vp5AAGL/rsIjx88ZslQlRMnTsDT0xMGhq83Xns18sKf8X+ipLgEp46egpWNFcwtzLF582bo6uoiPDwc155eU4hLh68DP38/XDhzQWla1W3sr/q+1uQIPh98hY+3qlaNY4JjUM+kHuqZ1FMZj6muKRZ+shBCgRDmuuYIcQ1RKqeyWRwej4dOzp20ll3G2CZj8anHp7DSt6pxHJVUiRa2LZjf5no13/Ct0T1aH/Bm/I9uZuXfSvuu7VFYWIjzp8+j6FUR4uPj8eWXX75RnA28GyD7QTZsDGzA5/GRkZGBSxcuIaS3tEMYPHgwNmzYoPGMkbe3N+7du8dyW716NZwsndDCpQXzt2Vz9SawD+4/CHsLe+jq6sLX1xdPnjzB5MmKF0t+MegLGBoawtDQkIk7+6FqE+lVN9EmH0tGSXEJ2nRqw+S36te1NtT3qg+/5n6I/z2ecYuPjwcR4fPPP2fcoqOjMXjwYADS5YqCggKknFL/pa4MPp8PDw8PPL4vNa+emZEJExMT2NkpHucWioRwdHXEvcx7Cs9kVFZWIjY2lpHv888/x8mTJ5GVpWiN1tHREYaGhjA1NcWWLVvQq1cveHt7K/hTx9K5S5n6a2jfEIaGhpg///U+jKdPnqIgvwD1PJQPag0aNAAR4fbt10see/bsgaGhIXR1ddHUrymeP32OCd9OQH3T+jARm8DZyBnR0dH4/PPPIRAI4OPjg3r16rH2ackG6cgvItHCpQWaOTTDwv8uhIOzA0LCQhTkkGfnlp0IDQ2FiakJTMxM0KZjG+yM21ltmHv37sHent1GwweGw6uRF8LahmHdsnVY8usSvCh4gR9++AErV67EjBkzENoiFCP6jlDYL2Vja6P0fTDVNWUN9FVP6FQd+Gu0z4InvQZCHgFfwIpbfhCvjm71uqGLSxftZZBjeYflWocZ6TeyWkVFWb84pzV7idtUbApAeinq516fo7OzdJn6Q1Yq3hYf3cyKno6expuebjy7wfrdwKIB8/+r8ldaW2atbsbgTREKhej5WU/situFh/cewtPTE40bq/461gQiqXElSz3p12pMTAzadGwDMwvpV1e3bt0wbNgwHDlyBJ07q7/HQhafPIMGDcI3k75B7qvXHWmgl+JmRHk6duyINWvW4NWrV1i2bBl0dHTQp08fhfpavGQxgrtKj0dmPM8AAFjZqu5czHTNWHem7NyyEyFhIdDRkb4mAwYMwOTJk5GZmYn69eurza8ywgeGY9F/F+Hly5cwMjJCTEwM+vbtCyMj6XT2zZs3kZKSgp07pQOXjo4O+vfvjx2/70Cz1s1qlCYRKd1kWxMO/30Yr169Qrdu3QAAlpaW6NKlC2JiYjB37lyW3xMnTkBfXx9nzpzB/PnzsXat6un86hg6Zih6f94bwP+b2zdywE8//YS/jvzF8qfN6QVlbWjogKEApNaA8/PzkZCQgJMnX9+HI1NWIyMjWXEtXrIY9ZrXw4N7D7Bs5jJM+t8kmJipNrInkUiQuC0Rq1a+3iPT47MeWDxrMUZNGqXSiGVxcTF0dXVhqWfJXIshFAoxY9EMxg+Px8PCbxdi3LhxSE1Nxa5du/BH0h+I+TkGUdOjsDx2OeNXrCtGcbFyq8XqZiXk/dXEhgkPPHzp8yXrbh4+qr8vSus0tBjwO7so9l9f+32NtZdq1mZVEe4RDgD44fQPcDR0xJIOSwBI99nI9tpwKOejU1Z4PM03PVVdspEPV0mVb21JBwCMjY1RUKB4N9DLgpcwNFa+oS18YDgGBA9ARnoGRg8frdSPNqTfSIebm/ReEolEgo0bNyInJwd+tn6MH4lEgpiYGI2UlRs3bsDFlb1cY2JiAr8GfsgsyES5pBz6Qn2Ve1ZkGBgYwN1degdPTEwM/Pz8EB0djda9W7P82djaMP5Kn2p3KWR+Xj4O7zuMivIKbIvdxrjL8jtv3jyt4pMRGh6KRf9dhPj4eLRr1w6nTp1CVFQU8zw6OhoVFRWsL2gigkgswvQF02FkrJ1FYIlEgtu3byMkXPqlX9+jPgoKCvD48WOFr/TysnI8yHqAlm1aqozvtw2/4fnz56w9OZWVlbh8+TJmz57NGmjd3NxgamoKLy8vPHnyBP3798fx48c1klt+sDQzN4NzPemymaHIUGp9V245x9LaEiamJrhz645CPIC03fF4PKYtAKrbkGyT85YtW1BSUoKAgNdLxkSEyspK3Lp1C56enoy7vZ09vL284e3lDT9nP4R2C8Wuk7tgYaXc8N+pI6eQm52rsAlbIpHgzPEzaN2htdJwlpaWuHLlCmwMbFTe4XXv4j3cuH4DMdExmDx5Mrp16wZ9A32EhIUgIpp9A3pBfgHMLdQvO1SdIai6DFSTWQA+jw8bAxus77oew/8azrjVlXt1/W38MabJmDdSVmTlsq7LOkw6NgkzA2cCkCosMqVFZdgPfH/J24BbBqqjeHl54eLFiwru169ch0t95fsz3L3d4e7tjtvpt6vdQ6AJdzLu4ODBg+jTR7pXYt++fXj58iW2H9mOHUd3YMfRHUhLS0NcXBwSEhKQn59fbXzp6ek4cOAAeof3Vngm4AvgYeqBhhYNmRs/NYXP5+O7777DjBkzUFKs/FSKNsgsyx5LPAYbOxv8kfQHk9e0tDQsWbIEsbGxkEgkNYrfwNAA3Xt3R0xMDDZs2ABPT0988sknAKR7Hn777TcsWbKESS8tLQ2XLl2Cta019iUo38inDFkZ7t66G3l5eejSUzpNHhYeBqFQiCVLliiE2Ra7DcVFxej2aTelceY/z8eeP/dg69atLPlSU1ORl5eHv/76S2k4ABgzZgyuXr3KzBjVJnw+H73Ce2HvH3vxNJc9iBcXF2P16tUIDg5Wul9FFl7WhmQzDdHR0fj2228V6uGTTz5ROAXH4/HgauwKV2NXBAQEwKeJD9YtW6dS3oTNCQgND0VaWhrzLu04ugOh4aFI2Kx6o23Tpk2Rnp6uckAvLSnFxHET8csvv0AgEEAikaC8XHr6qqK8QuGuq4wbGfD2VbIsR1V/qlcgZLOvANDMupnKEzIylJ2+4/P4Wt0NpA7W7JCWSlBsSGytyRFoH4iTn59EV9eutRanDHkjd/92BYdTVuooo0aNwq1btzBu3DhcvnwZWbezsHHNRuxP2I/IUZEqw0UnROPo1aMwNTXVOK2Kigrk5OQg53EObl2/hc3rNyMyLBJ+TfyYvSDR0dHo3r07vH284dHAAx4NPODj44N+/frB1NQUmzdvVojv8ePHuHLlClauXIn27dujSZMmmPDtBFbaRUVFyMnJQW5uLvOXl5enTVGhb9++EAgE2BLN3utSkF8gzVdODp7mPsXT3KcoeiW9ME/2Ymdcz2ANSDkZOfAy98KWjVvQtWdXVl59fHwwbNgwPH36FAcO1PwEQf8v+uP06dNYu3Yta1/Rnj17kJeXh2HDhjHpyf669uha7UAGvC7Lhw8fIuVsCpbOWYo5k+dgxNcj0LKtdLbEydkJixYtwvLly/H9998jPT0dmZmZWP3TaiydsxQRoyNUbq79M/5PmFuYo1+/fizZ/Pz80K1bt2r38+jr62P48OGYOXNm7X89EzB91nRYWltieN/h2L9/Px48eIDjx48jODgY5eXlWLVK8ViyPLI2tGrVKqSlpeHixYv46quvFOphwIAB2LhxIyoq2LcWy+y2AMCE8ROw/bftSm3qPH/6HEl/JSGsfxh8fHyY9uXRwAO9+vXCkf1HUJCn/Lb1jh07orCwENeuXWPsncgvLa9dshZdQ7uiaVOpDZY2bdogISEBN6/dxJboLWjSsgkrvvPJ51XO4rA+GKpWl5IxUf5EDY/HUztwKls64vFUX5j4vjg/+Dy6ury5klHbe1CO9T+GpH5JLCN3tS1DXds3wykrdZR69erh+PHjSE9PR1BQEAYGD8TB3QexJHoJ2nZuqzKcvoE+jE0U76OpjmvXrsHOzg5NvJpgaO+hOLj7IIaPG46kY0kwNDREbm4u9u7dy8yyyMPn8xEeHs4aqGTxOTs7o0OHDoiPj8f06dNx4sQJGBqyl7DWr18POzs71t+AAQO0kl9HRwdjx45FzM8xjDICAF8N+4qJs4NPB3Tw6YAtv7IVmoheEWjWrBmaNm2Kpk2bonnz5riUegmXLl1CUM8ghbRMTEzQuXPnN9po2yKwBby8vPDixQsMGTKEcY+OjkZQUBBMTBSXwYJ7BuNa2jXcvHZTZbyysqxfvz4G9x+MzJuZWLx+MVb+vJLlb8KECdi5cydOnDiB5s2bw8fHB39s+wP/XfRfTJ6tuFFZRkJcAnqF9VLaifXp0weJiYl4+lT58gQAjB07Fjdu3GA2qcbGxtZah2huYY4tB7agRZsWGDlyJOrXr49+/fqhfv36OHfuHOrVU32iBHjdhhYtWoRVq1ahYcOGSjcDh4eH48mTJ9i3T/UsV3jPcLi6uiqdXUmMT4S+vj4C2imeSGzVrhV0dXXx5/Y/lcZrYWGB8PBwbN68GS7GLnAzcWMuNsy4kYGDuw9ixg+v96989tln6N69OyJ6RuDW9VuYPm868yw5ORkvX7xE157qB2JNZju03Y8nm1mpqrjWptVU+bZV03jFAvF7ufhSnbJnrmv+zi56rSvwqK4sEtaQFy9ewMTEBAUFBTA2Zg/SJSUlyMrKgpubm9rr3pVR9chfI8vX5ptflb3C3Rd3aySzk5GT0gvutJFFHfKypj9Lh4QkCu5VeVb8DDmvXhsg8zL3UtjpLy9HdXGpoqi8CFkFWRqH1yY9+XwCgKeZJ3NZnaRSgvsv76OoXKrMGIuM8aLsBQCgoUVDpYOmJmnL/FjqWyrYn1Dl10hkBGdj9cb65Ln1/BbKK18bVFNXFi/LXjIbwD3MPJCRJ91g7GzsrPQm7Kp1rwo3EzetDV2pYubMmTh27BiSkpIU2rersSsMRAas9gK83rMCvC5PB0MHlEpKmX0cNWmXtU1FZQVuPletWAJSOTV5r+Xzc/nyZXTp0gWZmZkwNDRUqDdl9VNVlkaWjdC/f384eDhg2IRhqIqJ2ATmOuZIvpqMhbcXYl23daxLNU8/Po2Rh6QmEtK+SGNORflu9AUgXQa69uwaSiWq94md6H8CprqmSH6cjBGHRgAArkRcQeONjRnF4krEFca/LG4Z8s+qQxYuJjhG7emiLw9+iXM55xTiX3ZhGWKuKhrAVCbDF/u+QNo/aQCAXvV7YV7bmu1tyy/JxyfbPlH5XFna/xT9g07bVR/Fjuseh+knpjPjlroy/Dn1Z/xymW1sU9Ny15Tqxu+qfHQbbDk+TgR8AVyNXfFP8T8wEBrgecnz9y3SR8/+/fvx888/v28x3go6fB3YG9qjqKIIQr4QFroWeFr8FK8qXqG4XPkJHE1o3LgxFi5ciKysLPj6+ioo2cpmEHT4OhALxIzyUFZWBl9fX/T5qo/SWRMCsb7sq9rFqY29EXpC6TJWVcXqfd5HY6Fbd2YqajLjWNeWbWobTlnh+Gjg8XiMbYdaV1Y+6PnJ90NKSs1sx3womOmawQyvjavZGNgguzD7jZQVAKyj05pefCd/JFgkEmHGjBkok5Qh51UOSipKWLN2xRXF4Al5MBIZIdwz/K1c4ilbNmps2Rife33OGHnk4FAFp6xwcHDUPf7dH4m1hrHIGHnCPGZ5UxXKZlBEAhGcjZ1RSZUsG0Wym8yNREYY6jW02nhr8jUf0fD1EWoej4fvW32vdRxvg3/7aZoPHW6D7ccA9w6+fbgy5ngP8Hl8uJm4qfXnaOgovWVaySzJuxykRzYeiUktFK96kKHDq3vfz+9zaao2+dCVsbrXMt4Cb2UP8Ydd7/9OeOCWY2rIh96Rcfw/Ktq/ocgQDcwbaHx/THV9pkZxqGhPY5uOVZv223iH38c5kg/87Eqd2wPzVmZWVq1aBVdXV+jq6iIgIEDt2vT27dvh7e3N3PVS3bFAbRAKpSdBioqqnyLlUM6/5YuCg+NjobpLIlUNPlXdbfVtUVZWBgAQCLQ3pV+ju4L+n9o0t/8hU9cUhbpArc+sbNu2DRMnTsTatWsREBCA5cuXIzg4GDdv3oS1tbWC/9OnT2PAgAGIiopCjx49sGXLFvTu3RsXL16Ej4/PG8kiEAhgamqKJ0+eAJAaptKmEVSWs1+ckpLXFlJLy0sVnmtKWWkZSkg7a6vapiUva2VZJdMJyLsrk0s+nZKSEkj4bEutVZ9ri3y5aRJem/Tk8ynzLxEotzRbUVbBkkNZu9AkbZmf8tJylPDVyPf/fitQoXXZScokCnmrjrKyMlb+ZP+XlZShpFIxbNW6V0VpSSn4ktr/xqmadmlJKQQSgcJ7Jl92TJ5Ky1AuKdeqXb0vykvLldZLdWiSHyc9J1RSJSTlEkjKtbeuLJPDSt8K4koxsv/Jhr6+PnMvljZouun3XfI+Prw4haN2qXVlZenSpRg+fDiGDpVuzFq7di327t2LmJgYTJs2TcH/ihUrEBISwlhKnTt3Lg4dOoSff/65xhefyWNrK73GXaawaMOTQnYYnfzXxVUqKcWz4mc1kqlCt0Lre4WqyqIOeVlzX+UyA528e1UKywvxovQF85uXp3hJmbwc1cWlijJJGWMPQ5Pw2qQnn08A4OnzVF5fn1eSh+IK6akMQb5A6bS1JmnL/BSJivBS9LJa+WR+dXV0Uaqr3V1FuUW5kFS+HoTUlUVpRSmelUjbJ0+fhydF0rRVtb1X5a9QUKrccqo8lXqV1X6915Sq7VuiJ4FYIGa1FwAQ64hRplvGClMmLkMFVaCwrBBAzdrlu6KgtACvyl8BkMqpyXv9LvIjkUiV4TydPOQhD3w+H87OzkoHXHVLhl5mXrj0z6UayeFn5YeLTy4qtQX0MVGTZdnaXsqta0vDtfoWlJWV4cKFC5g+/bWlRD6fj6CgICQnJysNk5ycjIkTJ7LcgoODsWvXLqX+S0tLUVr6uqN/8eKFUn8yeDwe7OzsYG1tzdyToSnjd45n/U4MT2T+v/HsBhZeWahVfDJmtJqBBnYN1HusRhZ1yMu6/OhyZOVnKbhX5e97f+Onaz8xvzd12wQTMduaqrwc1cWlitt5t7EwaaHG4bVJb92JdSwjWxtDN8JM10yp353ndyLpQRIAYFfvXUq/Bn/Y9wMzgKtKWybfUJ+hCHer/nIymd8url3wTYNvqvVbldXHVrMMe6kri7QnaVh4VVrO0cHRmHhQ+o7NbjMbDawV297RB0ex7NoytXIs7rAYbmbqN3RqS9X2Pb/tfHhbeeNO/h0sPPr6Pevs0hnjG4xnhZnecjqeFD9B9G2pVeGatMt3RVx6HOJuxwGQyqnJe/0+8iMSiVTe/qzKWu1vob/hr7t/YXST0bj+/DpjYE2GtZ7izHpVFrVbhJirMejv3V+lH3Nd9ZcvVkUTC7uq+goTUfUXq8ojf0dS1b5TG2oyO6Xu9msejwdbA1uNjZkaCA20luFtUqvKytOnTyGRSGBjw7bkaWNjg/T0dKVhcnJylPrPyVFuTTMqKgqzZ8/WWjaBQKD1+uuMT2ZgzOExAKSdp7wVXF87X/jY+eDQvUMIdQvFkIZDsDJ1JT7z/AwTk9jKl56OHrZ024K1l9eisLwQTR2aQlek3czKvI7zEH0lGg0sGuDSP5fwTdNvsCZtDZKzpUrgH73+QOT+SLwsf4l2ju1Ysg5rMgwrLq5Af+/+1VryDfYIxpHsIzj56CQ+8/wMNiaKFlm7uHfBb9d/Q2xIbI2sAjeybYRAl0DYGthqFH5Q40FYfH4xFrdfrNb/922/R8f4jgCAPh59YGtiq3IqtrtXd1wruIaWdi2hr6fcIuuwZsMQcyUG/bz6qUx7VPNROPrgKMIbhKudLZvSegoSMhLwVdOvtC67qa2nIjQhFACwKXST2vB+9n7wtPaEma4ZHM0cEdYgDJn5mWjh2ELpnoIu9bvgp8s/4WHhQ4Vn1vrWeFL0BKFuofCx9Xkr0/wRTSLwR8YfyMjLQAenDvC194VYIEYDmwYIdAlEQob0XqTxLccz5fyF3xe4/M9ltHNrh6KKIhzLOYa2Dm1r1C7fFb28euHMP2fQwakDdHV14WrhyrzD8oj4IjSwaIApLabUufz4WvoixDUEjkaOrLbQ1LopmlpL7yX6ruV3WHhuIUY0HgGxQIxVaaswqbnqU0AybAxsMD1guoJ7THAMhv81HGa6ZpjbZq7Gso7yG4X7L++jsZXy+67kGd1kNB4WPkTP+j1Z7gMbDMTK1JWQkARmYjNISMK6QFCe7wK+w9/3/wYPPHzt97XGclbFQGiADk4dmA8qeTaFblIaxlTXFBa6FnhW8gxeZl4IcgnCvqx9yCrIQheXLvA088TyjsvRaksr1DOp/voJAOhZvydOPz6N049PA5DWwfukVs3tP378GA4ODjh9+jQCAwMZ9ylTpuDYsWM4e/asQhiRSISNGzey7oNZvXo1Zs+ejdxcxYvAlM2sODk5aWSul4ODg4ODg6Nu8N7M7VtaWkIgECgoGbm5uczekarY2tpq5V8sFkMs1u7SLA4ODg4ODo4Pl1qdzxWJRPD398fhw4cZt8rKShw+fJg10yJPYGAgyz8AHDp0SKV/Dg4ODg4Ojo+LWt9mPnHiRERERKB58+Zo2bIlli9fjlevXjGng4YMGQIHBwdERUUBAMaPH4/27dtjyZIl6N69O7Zu3Yrz589j3TrF69WVIVvFUrfRloODg4ODg6PuIBu3NdqNQm+BlStXkrOzM4lEImrZsiWdOXOGeda+fXuKiIhg+Y+PjydPT08SiUTUqFEj2rt3r8ZpPXjwgCC1ecj9cX/cH/fH/XF/3N8H9vfgwQO1Y32tbrB9H1RWVuLx48cwMjKqdSM8ss27Dx484Dbv1jG4uqmbcPVSd+Hqpu7ysdYNEeHly5ewt7dXeVReRt21nqQhfD4fjo6ObzUNY2Pjj6oBfUhwdVM34eql7sLVTd3lY6wbExMTjfzVPbvIHBwcHBwcHBxycMoKBwcHBwcHR52GU1aqQSwWY+bMmZxdlzoIVzd1E65e6i5c3dRduLpRzwe/wZaDg4ODg4Pj3w03s8LBwcHBwcFRp+GUFQ4ODg4ODo46DaescHBwcHBwcNRpOGWFg4ODg4ODo07DKSscHBwcHBwcdRqtlJU1a9agcePGjJW9wMBA7N+/n+Vn3bp16NChA4yNjcHj8ZCfn680ruLiYhgYGOD27dvIzs7GwIED4enpCT6fjwkTJij4X79+PT755BOYmZnBzMwMQUFBSElJURp3x44d8euvv+LSpUsYMGAAnJycoKenhwYNGmDFihUK/pOSktCsWTOIxWK4u7sjNjaW9fz48ePo2bMn7O3twePxsGvXLoU4cnNzERkZCXt7e+jr6yMkJAQZGRlK5dMmTwkJCejatSssLCzA4/GQlpamNK6oqCi0aNECRkZGsLa2RqdOneDv7w9dXV04OTlh0aJFjF8iQmhoKHg8HhwcHKCrqwtfX1/s27cPAHDv3j3o6emhsLAQALB9+3Z4e3sr+JMxa9YseHt7w8DAgMnH2bNnFWSUr/OEhAR06dIFVlZWTFs6ePCgQphVq1bB1dUVurq6CAgIYJXP8+fP8c0338DLywt6enpwdnbGuHHjUFBQwIrj/v376N69O/T19WFtbY3JkyejoqKimpqRxj1o0CAYGxvD1NQUw4YNY8oDAO7evQsej6fwd+bMGVY8VdtOfHw8xowZAwsLCxgaGqJPnz7o37+/QjxWVlYK8sqXH6C+3QLAo0ePMHjwYFhYWEBPTw++vr44f/68gr/afmeqtsfevXvj5s2bLD8lJSUKZZGbm1ttvWjyPowcORL169eHnp4erKysEBYWhvT0dKXxybcvDw8PuLi4KLTz5ORkdOrUCQYGBhCLxRCJRNDV1UVQUBDzjmtbNy9fvsSECRPg4uICPT09tG7dGufOnVMq44dQN+Xl5Zg6dSp8fX1hYGAAe3t7DBkyBI8fP2b5mzdvHlq3bg19fX2YmpqqjK+qjC1atEC9evVYdZOZmYnw8HCmD2nYsCGsra2hp6ensm40GWuuXbuGPn36wNXVFTweD8uXL1cp59ChQzFjxgzcvXsXw4YNg5ubG/T09FC/fn3MnDkTZWVlLP+XL1/GJ598orRfBjQbE4gIP/zwA+zs7BTyWh3V9aUA0KFDB4V+6Ouvv1Ybr7rxoabyKqDxjYFElJiYSHv37qVbt27RzZs36bvvviOhUEhXr15l/CxbtoyioqIoKiqKAFBeXp7SuHbv3k0NGjQgIqKsrCwaN24cbdy4kZo0aULjx49X8D9w4EBatWoVpaam0o0bNygyMpJMTEzo4cOHLH/Pnj0joVBIOTk5FB0dTePGjaOkpCTKzMykTZs2kZ6eHq1cuZLxf+fOHdLX16eJEyfS9evXaeXKlSQQCOjAgQOMn3379tH3339PCQkJBIB27tzJSrOyspJatWpFn3zyCaWkpFB6ejqNGDGCnJ2dqbCwUGV5apKn3377jWbPnk3r168nAJSamqo0ruDgYNqwYQNdvXqVTp48SSKRiPT19SklJYXi4uJIT0+PfvnlFyIiWrp0KbVq1YoA0JAhQ+j69es0Y8YMEgqFdOXKFVqxYgWFhoYSEdGpU6dIIBDQokWLFPzJ2Lx5Mx06dIgyMzPp6tWrNGzYMDI2NqYnT56wZJSv8/Hjx9PChQspJSWFbt26RdOnTyehUEgXL15k/G/dupVEIhHFxMTQtWvXaPjw4WRqakq5ublERHTlyhX69NNPKTExkW7fvk2HDx8mDw8P6tOnDxNHRUUF+fj4UFBQEKWmptK+ffvI0tKSpk+frrJeiIhCQkLIz8+Pzpw5QydOnCB3d3caMGAA8zwrK4sA0N9//03Z2dnMX1lZGSueqm0nODiYnJyc6PDhw3T+/Hlq1aoVWVlZUUhICGVnZ9PDhw/Jy8uL2rdvryCvfPlp0m6fP39OLi4uFBkZSWfPnqU7d+7QwYMH6fbt2ywZ38Y7I98e09LSqFu3bgrvw9dff61QFq1bt662XjR5H3755Rc6duwYZWVl0YULF6hnz57k5OREFRUVLH/y7ev3338nHo9Henp6dOLECaadb9q0iYyNjSkqKor+85//kKGhIU2aNInOnTtHvXr1Ijc3NyouLta6bvr160cNGzakY8eOUUZGBs2cOZOMjY3fSX/2NuomPz+fgoKCaNu2bZSenk7JycnUsmVL8vf3Z/n74YcfaOnSpTRx4kQyMTFRGZ+8jLGxsQSATE1N6fz58zRjxgzS0dEhR0dHCg8Pp8uXL9OECRNIR0eHPDw8KDU1VWXdaDLWpKSk0KRJkyguLo5sbW1p2bJlSmWsqKggS0tLOnv2LO3fv58iIyPp4MGDlJmZSbt37yZra2v69ttvGf8FBQVkY2NDgwYNoqtXryr0y0SajQkLFiwgExMT2rVrF126dImVV1Wo60uJpJcMDx8+nNWfFRQUqIyTSLPxoSbyKuONb102MzOjX3/9VcH96NGj1SorX375JU2dOlXBvX379kobUFUqKirIyMiINm7cyHL/7bffKCAgQGW40aNHU8eOHZnfU6ZMoUaNGrH89O/fn4KDg5WGV6as3Lx5kwCwlDaJREJWVla0fv16tXmRoSpPRK8HR1XKijyrV68mExMTAkDHjh0jIqKpU6eSl5cXpaamkoODA/Xs2VMhLwEBATRy5Ejq1KkTrVmzhoiknWr37t1Z8cv8qaKgoIAZyOVRVecyGjZsSLNnz2Z+t2zZksaMGcP8lkgkZG9vT1FRUSrjiI+PJ5FIROXl5UQkVRb4fD7l5OQwftasWUPGxsZUWlqqNI7r168TADp37hzjtn//fuLxePTo0SMi0q4+ZAAggUBA27dvZ9xu3LhBAKhdu3Zq5Y2MjGTKT5N2O3XqVGrbtq1aud72O0NE9OTJE1Z7zM/PJ6FQqLQskpOT1cqsTflfunSJACgoafLtq1+/ftStWzdW+woICCBra2uaMWMGVVZWkq2tLf34449M+Pz8fBKLxRQXF8dq2+rKp6ioiAQCAe3Zs4flp1mzZvT999+z3D7EupGRkpJCAOjevXsKzzZs2FCtsiJPv379KCgoiCWjl5cX8Xg8KigoYOpmzpw5xOPx6NChQyrrRh5NxhoXFxeVysrx48fJzs6OKisrlT5ftGgRubm5Mb9Xr15NZmZmrH5H1i+rouqYoK4dqkKTvlTTsVcedeNDTeVVRo33rEgkEmzduhWvXr1CYGCgVmErKyuxZ88ehIWF1TR5FBUVoby8HObm5iz3xMTEauMtKChghUlOTkZQUBDLT3BwMJKTkzWWpbS0FACgq6vLuPH5fIjFYpw8eVLjeFTlSR2RkZHo0KED8zs5ORnNmzcHACau4OBg3Lx5E/3798eqVauUTp8HBwfj5MmTOHnyJHr16sXEpU35lJWVYd26dTAxMYGfnx/jrq7OKysr8fLlS0besrIyXLhwgZU2n89HUFBQtXVTUFAAY2Nj6OjoMPL7+vrCxsaGJf+LFy9w7do1pXEkJyfD1NSUKUMACAoKAp/PV1je6tWrF6ytrdG2bVskJiayniUlJYHH4+Hu3buMm0QiYeVJtnyWkpICa2trDB48GGZmZoz88vLKt21N6iUxMRHNmzdH3759YW1tjaZNm2L9+vUK+X0X74xsaU4Wz4ULF1BeXq5QFs7Ozlq9e+p49eoVNmzYADc3Nzg5OTHuLi4uOHfuHJN+cnIyunTpwmpfbdu2xZMnT2BtbQ1/f3/k5OQgLi6OeadNTEwQEBCA06dPs9q2uvKpqKiARCJh9RcAoKenp9BffMh1U1BQAB6PV+1yjzJcXV0xa9Ys5ndycjJatmzJkrFJkyYgIojFYmRlZSEnJwfBwcHg8/k4efKkyrqpTRITE9GzZ0/weDylz5XVTbt27SASiRg3Wb+cl5enNI6qY4Isr/J1I8trdX2ypn3p5s2bYWlpCR8fH0yfPh1FRUWs58rqprr2VhN5VaG1snLlyhUYGhpCLBbj66+/xs6dO9GwYUOt4pCt6wcEBGibPMPUqVNhb2/PKoTS0lIcOHCAGWircvr0aWzbtg0jRoxg3HJyclgDGQDY2NjgxYsXKC4u1kgW2Ys8ffp05OXloaysDAsXLsTDhw+RnZ39RnnSBDs7Ozg7OzO/s7OzkZGRgTZt2sDHx4fJEwD4+voiLCwMOTk5CvHY2NjgwYMHaNy4Mezt7QGoLp+q4ffs2QNDQ0Po6upi2bJlOHToECwtLZnn6up88eLFKCwsRL9+/QAAT58+hUQi0ShtGU+fPsXcuXM1ql/ZM2Xk5OTA2tqa5aajowNzc3MmjKGhIZYsWYLt27dj7969aNu2LXr37s1SWPT19eHl5QWhUMiKp2rnbWNjg9DQUBw+fBj+/v4oKSlBaGgoJBIJS97Kykqm/DRpt3fu3MGaNWvg4eGBgwcPYtSoURg3bhw2btzIhHkX70xlZSUmTJjAao85OTkQiURKy0JVvWjD6tWrYWhoCENDQ+zfvx+HDh1iDRJOTk4gIlZbsLGxYaUvG4RmzZqF0NBQAIC/vz86d+7MrLnb2NgwSq+mdWNkZITAwEDMnTsXjx8/hkQiwe+//47k5GRWf/Eh101JSQmmTp2KAQMGaH2LcP369Vl9R3Z2Nvbv38+SsWnTpuDxeJg6dSrzMbB27VpIJBKmDJXVTW2ye/dulXVz+/ZtrFy5EiNHjmTcatIXVR0TZP607Rc16UsHDhyI33//HUePHsX06dOxadMmDB48mBWmat2oGx9qIq8qdNR7YePl5YW0tDQUFBRgx44diIiIwLFjx7RSWHbv3o0ePXqAz6/ZxM6CBQuwdetWJCUlsb5Ojhw5AmtrazRq1EghzNWrVxEWFoaZM2eia9euNUpXFUKhEAkJCRg2bBjMzc0hEAgQFBSE0NBQkIa3GajKkyZERUWxfqenpyM/Px+nTp1i3I4cOQIAmDZtWrVxlZaWqnwBq6Njx45IS0vD06dPsX79evTr1w9nz55lBv3q6nzLli2YPXs2du/eraAkaMqLFy/QvXt3NGzYkKX5vy0sLS0xceJE5neLFi3w+PFj/Pjjj0z5tWzZUuXGTnksLCzg4eEBX19fuLq6ori4GCdPnkRSUhI6d+7M+GvZsqVW70xlZSWaN2+O+fPnA5B28FevXsXatWsREREB4N28M2PGjMHVq1e1mmV8UwYNGoQuXbogOzsbixcvRr9+/XDq1Cnm3YqPj4eDg0O1ccje3ZEjR6J79+6YP38+Zs+ejTNnziAmJoZ57x49eqR1f7Zp0yZ8+eWXcHBwgEAgQLNmzTBgwABcuHCB8fOh1k15eTn69esHIsKaNWu0Dn/48GHW78rKSjx48ACpqamMm5GREYyNjfHnn3/ip59+AiDtA5o1a8aqh5rUjSbcuHEDjx8/Zr2f8mmGhISgb9++GD58eI3TeJMxoSbIK72+vr6ws7ND586dkZmZifr16wNQrJt3idY1KBKJ4O7uDn9/f0RFRcHPz0/pjvTqSExMrNGACEi/wBcsWIC//voLjRs31ije69evo3PnzhgxYgRmzJjBemZra6uwyz03NxfGxsbQ09PTWC5/f3+kpaUhPz8f2dnZOHDgAJ49e4Z69eq9UZ60ZezYsXj+/DlatWoFR0dHxv3o0aMAgFatWkFHRwfl5eUAgD59+jBLSI8fP0Z5eTmrDFWVj62tLcvNwMAA7u7uaNWqFaKjo6Gjo4Po6Gjmuaq62bp1K7766ivEx8ezZpQsLS0hEAg0Svvly5cICQmBkZERdu7cyZrJUCW/7JkybG1t8eTJE5ZbRUUFnj9/rjIMIP16k50GUUVFRYXCCTn5PNna2uLly5ewtLRk4pLJGxISojZf8u3Wzs5O4SOiQYMGuH//PvP7bb8zY8eOxZ49e3D06FFWe7S1tUVZWVm1ZfEmmJiYwMPDA+3atcOOHTuQnp6OnTt3Ms+rti9ZnuTTl53kaNiwIeOWm5vLKsPc3Fw8efJEo3dGvnzq16+PY8eOobCwEA8ePEBKSgrKy8tZ/cWHWDcyReXevXs4dOiQ1rMqVRk7dixzKkVextzcXLi4uCAzM5M51TJjxgw8evSIKUNldVNbJCYmokuXLgpKxOPHj9GxY0e0bt0a69atYz3Tpi9SNSbIt8Oq8aiqG236Unlks1HV9WnqxoeayKuKN1Y3KysrmT0bmpCRkYF79+6hS5cuWqe1aNEizJ07FwcOHGDtJwCkX0F//vmnwtrktWvX0LFjR0RERGDevHkKcQYGBipoi4cOHdJ6H44MExMTWFlZISMjA+fPn1e7VlpdnrSBiDB27Fjs3LkTU6ZMYdadZTg4OMDV1RVpaWlIS0tDcHAwAGDZsmXYsGEDAOmxUH19fdZek5qWj3y7UFXncXFxGDp0KOLi4tC9e3fWM5FIBH9/f1balZWVOHz4MCvtFy9eoGvXrhCJREhMTFToPAIDA3HlyhWW8iHrRFXNBgYGBiI/P1/hK1d+GUYZaWlpsLOzU/kcAAQCAStPN2/exP3795k8BQYG4vLly3j27BkT1++//w5AujdJXkZ19dKmTRuFI6m3bt2Ci4sLgLf7zsi3xyNHjsDNzY3l39/fH0KhsNqyqC1IepCA1U9VbV+BgYH4+++/We3r3Llz0NfXx82bN+Hm5gZbW1scPnyYKcMXL14gOTkZr169YrVtbd4ZAwMD2NnZIS8vDwcPHmTq4kOsG5mikpGRgb///hsWFhYq/apDXsauXbsq7LGTz5O/vz9sbW2xdu1aRjlRVTe1xe7duxXq5tGjR+jQoQP8/f2xYcMGhdmcwMBAHD9+nNUvHzp0CF5eXjAzM2PcqhsT5NuhjBcvXuDs2bMq60bTvrQqsjKvrk9T195qIq9KtNmNO23aNOZI4OXLl2natGnE4/Hor7/+YvxkZ2dTamoqc7Tw+PHjlJqaSs+ePSMioh9//JF69uypEHdqaiqlpqaSv78/DRw4kFJTU+natWvM8wULFpBIJKIdO3awjla9fPmSiIjOnTtHZmZmzCkQIunRVisrKxo8eDArjPyRWtlRv8mTJ9ONGzdo1apVCkf9Xr58ycgHgJYuXUqpqamsXe7x8fF09OhRyszMpF27dpGLiwt9+umn1ZanujwRSY8upqam0t69ewkAbd26lVJTUyk7O5tVL56enmRiYkJJSUl08+ZNsrS0pM8++4zOnz9PW7duJX19fdYRuVOnThEAioyMpBs3btDMmTOJz+fTwIEDWTKeOnWKdHR0aPHixYw/+aNphYWFNH36dEpOTqa7d+/S+fPnaejQoSQWi5nTUcrqfPPmzaSjo0OrVq1i5T0/P5/xs3XrVhKLxRQbG0vXr1+nESNGkKmpKXNSpqCggAICAsjX15du377Nikd2TFV2dLlr166UlpZGBw4cICsrK42OLjdt2pTOnj1LJ0+eJA8PD9bR5djYWNqyZQvduHGDbty4QfPmzSM+n08xMTGMn7Nnz5KHhwcdPHiQaTuBgYFka2tLcXFxdP78eWrZsiXZ2dlRcnIyZWVl0cGDB0lXV5c5dn7gwAEyMDAgd3d3lnyatNuUlBTS0dGhefPmUUZGBm3evJn09fXp999/J6K3+86MGjWKaY/y8RQVFTF+vv76a3J2dqYjR47Q+fPnKTAwkAIDA6utF3XvQ2ZmJs2fP5/Onz9P9+7do1OnTlHPnj3J3NycdUyzU6dOFBkZybSvzZs3s44uy9r5lClTyNjYmLZv306TJk0isVhMIpGI9u7dS2FhYWRubq5wGkKT8jlw4ADt37+f7ty5Q3/99Rf5+flRQEAAc/T9Q6ubsrIy6tWrFzk6OlJaWhorXvnTL/fu3aPU1FSaPXs2GRoaMv2qfJ/XqVMnatu2LSNjYmIiCQQC+uGHHyg1NZWpmzlz5lBycjLdvn2b+vfvTzwej8LCwujy5csq64ZI/VhTWlrK+LGzs6NJkyZRamoqZWRkEBFRbm4uCYVC+ueff5gwDx8+JHd3d+rcuTM9fPiQlX8Z+fn5ZGNjQ1988QVdvXpVab+syZiwYMECMjU1pd27dzN51eTocnV96e3bt2nOnDl0/vx5ysrKot27d1O9evWYU4rydSN/VF7d+FBTeZWhlbLy5ZdfkouLC4lEIrKysqLOnTuzFBUiopkzZxIAhb8NGzYQEVHbtm2VHudVFsbFxYV57uLiotTPzJkziYhoxowZNGjQII1kkY+XSHrMukmTJiQSiahevXqMrPLPlcUTERHB+FmxYgU5OjqSUCgkZ2dnmjFjhsqjsZrmiUh6xE+dn4iICKV+AJCOjg45ODjQggULlJa5vb09iUQiatSoEVlZWdGhQ4cU/MXHx5Onpyfjb+/evcyz4uJiCg8PZ+Kxs7OjXr16UUpKCuNHWZ23b99ebZkSEa1cuZKcnZ1JJBJRy5Yt6cyZM2rrBQBlZWUx/u7evUuhoaGkp6dHlpaW9O2337IGAWU8e/aMBgwYQIaGhmRsbExDhw5ldRixsbHUoEED0tfXJ2NjY2rZsiXrqKc6+WR2cHr16kXt27cnKysrEgqF5OLiQgMGDKBOnTox8jo4ONDatWsVZFTXbomI/vzzT/Lx8SGxWEze3t60bt065tnbfGdU5VveX3FxMY0ePZrMzMxIX1+fwsPDWZ27MtS9D48ePaLQ0FCytrYmoVBIjo6ONHDgQEpPT2fF4+LiQjNnzmS1L3d3d3JyclJo51FRUeTo6Ej6+vrk6OhIZmZmJBaLqXPnzuTv76+0P1NXPtu2baN69eqRSCQiW1tbGjNmDEtR/9DqRnaUXNnf0aNHGX+q+ip5P6r6RUB69F9WN1OnTiUbGxsSCoXk4eFBXbp0IWtra7V1o64MVeWlffv2RET066+/Ups2bVhxqmqXVecDLl26RG3btiWxWKy0X9ZkTKisrKT//ve/ZGNjw+T15s2bKutGRnV96f3796ldu3Zkbm5OYrGY3N3dafLkyQp2VmTvjTzVjQ9vIm9V3tjOijb8888/pKOjw7IhUVv4+vrStm3baj3ej4ULFy6QiYmJglGzN+Vt1vnHAPfO1F24uqm7vM266dmzJy1cuLDW4+Wonnd6N9Dz58+xdOlShWNMb0pZWRn69OnDHC/k0J6KigqsXLmStTm1Nnhbdf6xwL0zdReubuoub7Pfadu2LQYMGFDr8XJUD49Iw7O1HBwcHBwcHBzvAe7WZQ4ODg4ODo46DaescHBwcHBwcNRpOGWFg4ODg4ODo07DKSscHBwcHBwcdRpOWeHg4ODg4OCo03DKCgcHBwcHB0edhlNWODj+ZURGRoLH44HH40EoFMLGxgZdunRBTEwMKisrtYorNjYWpqamb0dQDXB1dcXy5csV3GfNmoUmTZq8c3kAICkpiSlfHo8HPT09NGrUSOHiuqr14ObmhilTpqCkpOS9yM3B8SHDKSscHP9CQkJCkJ2djbt372L//v3o2LEjxo8fjx49eqCiouJ9i1cnkL9QribcvHkT2dnZuH79OkaOHIlRo0YpXOomq4c7d+5g2bJl+OWXXzBz5sw3SpeD42OEU1Y4OP6FiMVi2NrawsHBAc2aNcN3332H3bt3Y//+/YiNjWX8LV26FL6+vjAwMICTkxNGjx6NwsJCANIZhKFDh6KgoICZIZg1axYAYNOmTWjevDmMjIxga2uLgQMHsm62VkZpaSkmTZoEBwcHGBgYICAgAElJSbWS38rKSsyZMweOjo4Qi8Vo0qQJDhw4wDy/e/cueDwetm3bhvbt20NXVxebN2/Gs2fPMGDAADg4OEBfXx++vr6Ii4vTKE1ra2vY2trCzc0N48aNg5ubGy5evMjyI6sHJycn9O7dG0FBQTh06FCt5JmD42OCU1Y4OD4SOnXqBD8/PyQkJDBufD4fP/30E65du4aNGzfiyJEjmDJlCgCgdevWWL58OYyNjZGdnY3s7GxMmjQJgHRWYu7cubh06RJ27dqFu3fvIjIystr0x44di+TkZGzduhWXL19G3759ERISgoyMjDfO24oVK7BkyRIsXrwYly9fRnBwMHr16qUQ97Rp0zB+/HjcuHEDwcHBKCkpgb+/P/bu3YurV69ixIgR+OKLL5CSkqJx2kSEAwcO4P79+wgICFDp7+rVqzh9+jREIlGN88nB8dHynu8m4uDgqGUiIiIoLCxM6bP+/ftTgwYNVIbdvn07WVhYML83bNhAJiYmatM8d+4cAWDdTC3PvXv3SCAQ0KNHj1junTt3punTp6uMV3bLu4GBAetPKBSSn58f48/e3p7mzZvHCtuiRQsaPXo0Eb2+SXf58uVq89K9e3f69ttvVT6X3aYtk0VHR4f4fD7973//Y/mLiIgggUBABgYGJBaLCQDx+XzasWOHWhk4ODjY6LxfVYmDg+NdQkTg8XjM77///htRUVFIT0/HixcvUFFRgZKSEhQVFUFfX19lPBcuXMCsWbNw6dIl5OXlMRt379+/j4YNGyr4v3LlCiQSCTw9PVnupaWlsLCwqFbmyZMnK8za/PTTTzh+/DgA4MWLF3j8+DHatGnD8tOmTRtcunSJ5da8eXPWb4lEgvnz5yM+Ph6PHj1CWVkZSktLq827jBMnTsDIyAilpaVISUnB2LFjYW5ujlGjRjF+OnbsiDVr1uDVq1dYtmwZdHR00KdPH7Vxc3BwsOGUFQ6Oj4gbN27Azc0NgHQfR48ePTBq1CjMmzcP5ubmOHnyJIYNG4aysjKVA/arV68QHByM4OBgbN68GVZWVrh//z6Cg4NRVlamNExhYSEEAgEuXLgAgUDAemZoaFitzJaWlnB3d2e5mZuba5plFgYGBqzfP/74I1asWIHly5cze3cmTJigMh/yuLm5MSelGjVqhLNnz2LevHksZcXAwICRPSYmBn5+foiOjsawYcNqJD8Hx8cKp6xwcHwkHDlyBFeuXMF//vMfANLZkcrKSixZsgR8vnT7Wnx8PCuMSCSCRCJhuaWnp+PZs2dYsGABnJycAADnz5+vNu2mTZtCIpHgyZMn+OSTT2orSwAAY2Nj2Nvb49SpU2jfvj3jfurUKbRs2bLasKdOnUJYWBgGDx4MQLpR99atW0pnh9QhEAhQXFys8jmfz8d3332HiRMnYuDAgdDT09M6DQ6OjxVugy0Hx7+Q0tJS5OTk4NGjR7h48SLmz5+PsLAw9OjRA0OGDAEAuLu7o7y8HCtXrsSdO3ewadMmrF27lhWPq6srCgsLcfjwYTx9+hRFRUVwdnaGSCRiwiUmJmLu3LnVyuPp6YlBgwZhyJAhSEhIQFZWFlJSUhAVFYW9e/e+cX4nT56MhQsXYtu2bbh58yamTZuGtLQ0jB8/vtpwHh4eOHToEE6fPo0bN25g5MiRyM3N1SjNJ0+eICcnB/fu3cP27duxadMmhIWFVRumb9++EAgEWLVqlcZ54+DgALfBloPj30ZERAQBIACko6NDVlZWFBQURDExMSSRSFh+ly5dSnZ2dqSnp0fBwcH022+/EQDKy8tj/Hz99ddkYWFBAGjmzJlERLRlyxZydXUlsVhMgYGBlJiYSAAoNTVVpVxlZWX0ww8/kKurKwmFQrKzs6Pw8HC6fPmyyjAuLi60bNkyBfeZM2eyNthKJBKaNWsWOTg4MJtv9+/fzzyXbbCtKt+zZ88oLCyMDA0NydrammbMmEFDhgxRuUGZ6PUGW/kydnNzo0mTJlFhYSHjT9VG56ioKLKysmL55eDgqB4eEdF705Q4ODg4ODg4ONTALQNxcHBwcHBw1Gk4ZYWDg4ODg4OjTsMpKxwcHBwcHBx1Gk5Z4eDg4ODg4KjTcMoKBwcHBwcHR52GU1Y4ODg4ODg46jScssLBwcHBwcFRp+GUFQ4ODg4ODo46DaescHBwcHBwcNRpOGWFg4ODg4ODo07DKSscHBwcHBwcdZr/A3IU4uFNrYUSAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.set_index('Data e Hora BR', inplace=True)\n",
+    "df[['PRECIPITAÇÃO TOTAL, HORÁRIO (mm)', 'TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)',\n",
+    "'UMIDADE RELATIVA DO AR, HORARIA (%)']].plot(subplots=True)\n",
+    "plt.suptitle('Séries Temporais das Variáveis')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.scatter(df['TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)'], df['UMIDADE RELATIVA DO AR, HORARIA (%)'], color=\"red\")\n",
+    "plt.title('Temperatura do Ar x Umidade Relativa do Ar')\n",
+    "plt.xlabel('Temperatura do Ar (°C)')\n",
+    "plt.ylabel('Umidade Relativa do Ar (%)')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.scatter(df['Data e Hora'] ,df['TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)'],\n",
+    " c=df['UMIDADE RELATIVA DO AR, HORARIA (%)'],\n",
+    "cmap='viridis',\n",
+    "alpha=0.7,\n",
+    "edgecolors='w')\n",
+    "plt.colorbar(label='Umidade Relativa do Ar (%)')\n",
+    "plt.title('Temperatura do Ar x Umidade Relativa do Ar')\n",
+    "plt.xlabel('Hora e Data')\n",
+    "plt.ylabel('TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<bound method DataFrame.corr of                         Data Hora UTC  PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "Data e Hora BR                                                            \n",
+       "31/12/2019 21:00  01/01/2020    00:00                               0.0   \n",
+       "31/12/2019 22:00  01/01/2020    01:00                               0.0   \n",
+       "31/12/2019 23:00  01/01/2020    02:00                               0.0   \n",
+       "01/01/2020 00:00  01/01/2020    03:00                               0.0   \n",
+       "01/01/2020 01:00  01/01/2020    04:00                               0.0   \n",
+       "...                      ...      ...                               ...   \n",
+       "31/12/2020 16:00  31/12/2020    19:00                               0.0   \n",
+       "31/12/2020 17:00  31/12/2020    20:00                               0.0   \n",
+       "31/12/2020 18:00  31/12/2020    21:00                               0.0   \n",
+       "31/12/2020 19:00  31/12/2020    22:00                               0.0   \n",
+       "31/12/2020 20:00  31/12/2020    23:00                               0.0   \n",
+       "\n",
+       "                  TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "Data e Hora BR                                                   \n",
+       "31/12/2019 21:00                                           0.0   \n",
+       "31/12/2019 22:00                                           0.0   \n",
+       "31/12/2019 23:00                                          24.0   \n",
+       "01/01/2020 00:00                                           0.0   \n",
+       "01/01/2020 01:00                                           0.0   \n",
+       "...                                                        ...   \n",
+       "31/12/2020 16:00                                           0.0   \n",
+       "31/12/2020 17:00                                           0.0   \n",
+       "31/12/2020 18:00                                           0.0   \n",
+       "31/12/2020 19:00                                           0.0   \n",
+       "31/12/2020 20:00                                           0.0   \n",
+       "\n",
+       "                  TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "Data e Hora BR                                           \n",
+       "31/12/2019 21:00                                   0.0   \n",
+       "31/12/2019 22:00                                   0.0   \n",
+       "31/12/2019 23:00                                   0.0   \n",
+       "01/01/2020 00:00                                   0.0   \n",
+       "01/01/2020 01:00                                   0.0   \n",
+       "...                                                ...   \n",
+       "31/12/2020 16:00                                   0.0   \n",
+       "31/12/2020 17:00                                   0.0   \n",
+       "31/12/2020 18:00                                  23.0   \n",
+       "31/12/2020 19:00                                   0.0   \n",
+       "31/12/2020 20:00                                   0.0   \n",
+       "\n",
+       "                  UMIDADE RELATIVA DO AR, HORARIA (%)  \\\n",
+       "Data e Hora BR                                          \n",
+       "31/12/2019 21:00                             0.965116   \n",
+       "31/12/2019 22:00                             0.860465   \n",
+       "31/12/2019 23:00                             0.860465   \n",
+       "01/01/2020 00:00                             0.802326   \n",
+       "01/01/2020 01:00                             0.872093   \n",
+       "...                                               ...   \n",
+       "31/12/2020 16:00                             0.965116   \n",
+       "31/12/2020 17:00                             0.895349   \n",
+       "31/12/2020 18:00                             0.872093   \n",
+       "31/12/2020 19:00                             0.860465   \n",
+       "31/12/2020 20:00                             0.930233   \n",
+       "\n",
+       "                  RADIACAO GLOBAL (Kj/m²)  \\\n",
+       "Data e Hora BR                              \n",
+       "31/12/2019 21:00                      0.0   \n",
+       "31/12/2019 22:00                      0.0   \n",
+       "31/12/2019 23:00                      0.0   \n",
+       "01/01/2020 00:00                      0.0   \n",
+       "01/01/2020 01:00                      0.0   \n",
+       "...                                   ...   \n",
+       "31/12/2020 16:00                      0.0   \n",
+       "31/12/2020 17:00                      0.0   \n",
+       "31/12/2020 18:00                      0.0   \n",
+       "31/12/2020 19:00                      0.0   \n",
+       "31/12/2020 20:00                      0.0   \n",
+       "\n",
+       "                  VENTO, DIREÇÃO HORARIA (gr) (° (gr))  \\\n",
+       "Data e Hora BR                                           \n",
+       "31/12/2019 21:00                                  11.0   \n",
+       "31/12/2019 22:00                                  10.0   \n",
+       "31/12/2019 23:00                                 345.0   \n",
+       "01/01/2020 00:00                                 332.0   \n",
+       "01/01/2020 01:00                                 316.0   \n",
+       "...                                                ...   \n",
+       "31/12/2020 16:00                                  32.0   \n",
+       "31/12/2020 17:00                                 355.0   \n",
+       "31/12/2020 18:00                                 315.0   \n",
+       "31/12/2020 19:00                                 291.0   \n",
+       "31/12/2020 20:00                                 132.0   \n",
+       "\n",
+       "                  VENTO, VELOCIDADE HORARIA (m/s)         Data e Hora  \n",
+       "Data e Hora BR                                                         \n",
+       "31/12/2019 21:00                              0.0 2020-01-01 00:00:00  \n",
+       "31/12/2019 22:00                              0.0 2020-01-01 01:00:00  \n",
+       "31/12/2019 23:00                              0.0 2020-01-01 02:00:00  \n",
+       "01/01/2020 00:00                              0.0 2020-01-01 03:00:00  \n",
+       "01/01/2020 01:00                              0.0 2020-01-01 04:00:00  \n",
+       "...                                           ...                 ...  \n",
+       "31/12/2020 16:00                              0.0 2020-12-31 19:00:00  \n",
+       "31/12/2020 17:00                              0.0 2020-12-31 20:00:00  \n",
+       "31/12/2020 18:00                              0.0 2020-12-31 21:00:00  \n",
+       "31/12/2020 19:00                              0.0 2020-12-31 22:00:00  \n",
+       "31/12/2020 20:00                              0.0 2020-12-31 23:00:00  \n",
+       "\n",
+       "[8784 rows x 10 columns]>"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "correlacao = df.corr \n",
+    "\n",
+    "correlacao"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8784"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import sqlite3\n",
+    "\n",
+    "conn = sqlite3.connect('clima.db')\n",
+    "# cursor = conn.cursor()\n",
+    "\n",
+    "# persistindo o DataFrame no banco de dados\n",
+    "df.to_sql('clima', conn, if_exists='replace')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "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>Data e Hora BR</th>\n",
+       "      <th>Data</th>\n",
+       "      <th>Hora UTC</th>\n",
+       "      <th>PRECIPITAÇÃO TOTAL, HORÁRIO (mm)</th>\n",
+       "      <th>TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)</th>\n",
+       "      <th>TEMPERATURA DO PONTO DE ORVALHO (°C)</th>\n",
+       "      <th>UMIDADE RELATIVA DO AR, HORARIA (%)</th>\n",
+       "      <th>RADIACAO GLOBAL (Kj/m²)</th>\n",
+       "      <th>VENTO, DIREÇÃO HORARIA (gr) (° (gr))</th>\n",
+       "      <th>VENTO, VELOCIDADE HORARIA (m/s)</th>\n",
+       "      <th>Data e Hora</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>31/12/2019 21:00</td>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>00:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.965116</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 00:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>31/12/2019 22:00</td>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>01:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 01:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>31/12/2019 23:00</td>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>02:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>345.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 02:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>01/01/2020 00:00</td>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>03:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.802326</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>332.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 03:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>01/01/2020 01:00</td>\n",
+       "      <td>01/01/2020</td>\n",
+       "      <td>04:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>316.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-01-01 04:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8779</th>\n",
+       "      <td>31/12/2020 16:00</td>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>19:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.965116</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 19:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8780</th>\n",
+       "      <td>31/12/2020 17:00</td>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>20:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.895349</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>355.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 20:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8781</th>\n",
+       "      <td>31/12/2020 18:00</td>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>21:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>0.872093</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>315.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 21:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8782</th>\n",
+       "      <td>31/12/2020 19:00</td>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>22:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.860465</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>291.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 22:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8783</th>\n",
+       "      <td>31/12/2020 20:00</td>\n",
+       "      <td>31/12/2020</td>\n",
+       "      <td>23:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.930233</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>132.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2020-12-31 23:00:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8784 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        Data e Hora BR        Data Hora UTC  PRECIPITAÇÃO TOTAL, HORÁRIO (mm)  \\\n",
+       "0     31/12/2019 21:00  01/01/2020    00:00                               0.0   \n",
+       "1     31/12/2019 22:00  01/01/2020    01:00                               0.0   \n",
+       "2     31/12/2019 23:00  01/01/2020    02:00                               0.0   \n",
+       "3     01/01/2020 00:00  01/01/2020    03:00                               0.0   \n",
+       "4     01/01/2020 01:00  01/01/2020    04:00                               0.0   \n",
+       "...                ...         ...      ...                               ...   \n",
+       "8779  31/12/2020 16:00  31/12/2020    19:00                               0.0   \n",
+       "8780  31/12/2020 17:00  31/12/2020    20:00                               0.0   \n",
+       "8781  31/12/2020 18:00  31/12/2020    21:00                               0.0   \n",
+       "8782  31/12/2020 19:00  31/12/2020    22:00                               0.0   \n",
+       "8783  31/12/2020 20:00  31/12/2020    23:00                               0.0   \n",
+       "\n",
+       "      TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)  \\\n",
+       "0                                              0.0   \n",
+       "1                                              0.0   \n",
+       "2                                             24.0   \n",
+       "3                                              0.0   \n",
+       "4                                              0.0   \n",
+       "...                                            ...   \n",
+       "8779                                           0.0   \n",
+       "8780                                           0.0   \n",
+       "8781                                           0.0   \n",
+       "8782                                           0.0   \n",
+       "8783                                           0.0   \n",
+       "\n",
+       "      TEMPERATURA DO PONTO DE ORVALHO (°C)  \\\n",
+       "0                                      0.0   \n",
+       "1                                      0.0   \n",
+       "2                                      0.0   \n",
+       "3                                      0.0   \n",
+       "4                                      0.0   \n",
+       "...                                    ...   \n",
+       "8779                                   0.0   \n",
+       "8780                                   0.0   \n",
+       "8781                                  23.0   \n",
+       "8782                                   0.0   \n",
+       "8783                                   0.0   \n",
+       "\n",
+       "      UMIDADE RELATIVA DO AR, HORARIA (%)  RADIACAO GLOBAL (Kj/m²)  \\\n",
+       "0                                0.965116                      0.0   \n",
+       "1                                0.860465                      0.0   \n",
+       "2                                0.860465                      0.0   \n",
+       "3                                0.802326                      0.0   \n",
+       "4                                0.872093                      0.0   \n",
+       "...                                   ...                      ...   \n",
+       "8779                             0.965116                      0.0   \n",
+       "8780                             0.895349                      0.0   \n",
+       "8781                             0.872093                      0.0   \n",
+       "8782                             0.860465                      0.0   \n",
+       "8783                             0.930233                      0.0   \n",
+       "\n",
+       "      VENTO, DIREÇÃO HORARIA (gr) (° (gr))  VENTO, VELOCIDADE HORARIA (m/s)  \\\n",
+       "0                                     11.0                              0.0   \n",
+       "1                                     10.0                              0.0   \n",
+       "2                                    345.0                              0.0   \n",
+       "3                                    332.0                              0.0   \n",
+       "4                                    316.0                              0.0   \n",
+       "...                                    ...                              ...   \n",
+       "8779                                  32.0                              0.0   \n",
+       "8780                                 355.0                              0.0   \n",
+       "8781                                 315.0                              0.0   \n",
+       "8782                                 291.0                              0.0   \n",
+       "8783                                 132.0                              0.0   \n",
+       "\n",
+       "              Data e Hora  \n",
+       "0     2020-01-01 00:00:00  \n",
+       "1     2020-01-01 01:00:00  \n",
+       "2     2020-01-01 02:00:00  \n",
+       "3     2020-01-01 03:00:00  \n",
+       "4     2020-01-01 04:00:00  \n",
+       "...                   ...  \n",
+       "8779  2020-12-31 19:00:00  \n",
+       "8780  2020-12-31 20:00:00  \n",
+       "8781  2020-12-31 21:00:00  \n",
+       "8782  2020-12-31 22:00:00  \n",
+       "8783  2020-12-31 23:00:00  \n",
+       "\n",
+       "[8784 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cursor = conn.cursor()\n",
+    "cursor.execute('SELECT * FROM clima')\n",
+    "\n",
+    "col_names = [description[0] for description in cursor.description]\n",
+    "\n",
+    "# for row in rows:\n",
+    "#     print(row)\n",
+    "\n",
+    "df_db = pd.DataFrame(cursor.fetchall(), columns=col_names)\n",
+    "\n",
+    "df_db"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Finalização do Projeto - Perguntas para Reflexão"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 1. Qual foi a média de valores de uma coluna específica?\n",
+    "A média de valores da coluna VENTO, DIREÇÃO HORARIA (gr) (° (gr)) é de 18.50\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv('INMET_MS_ITAQUIRAI_2020.CSV', delimiter=';', skiprows=8, encoding='latin1')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(185.01583504215083)"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "media = df['VENTO, DIREÇÃO HORARIA (gr) (° (gr))'].mean()\n",
+    "media"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 2. Qual o total de registros após a limpeza dos dados?\n",
+    "O total de registros após a limpeza dos dados é de 8784 linhas e 9 colunas."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 3. Quais foram os valores máximos e mínimos identificados?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv('INMET_MS_ITAQUIRAI_2020.CSV', delimiter=';', skiprows=8, encoding='latin1')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "O valor mínimo da coluna \"PRECIPITAÇÃO TOTAL, HORÁRIO (mm)\" é: 0.0\n",
+      "O valor máximo da coluna \"PRECIPITAÇÃO TOTAL, HORÁRIO (mm)\" é: 40.0\n",
+      "O valor mínimo da coluna \"TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)\" é: 6.0\n",
+      "O valor máximo da coluna \"TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)\" é: 40.0\n",
+      "O valor mínimo da coluna \"TEMPERATURA DO PONTO DE ORVALHO (°C)\" é: 0.0\n",
+      "O valor máximo da coluna \"TEMPERATURA DO PONTO DE ORVALHO (°C)\" é: 25.0\n",
+      "O valor mínimo da coluna \"UMIDADE RELATIVA DO AR, HORARIA (%)\" é: 14.0\n",
+      "O valor máximo da coluna \"UMIDADE RELATIVA DO AR, HORARIA (%)\" é: 100.0\n",
+      "O valor mínimo da coluna \"RADIACAO GLOBAL (Kj/m²)\" é: 0.0\n",
+      "O valor máximo da coluna \"RADIACAO GLOBAL (Kj/m²)\" é: 3886.0\n",
+      "O valor mínimo da coluna \"VENTO, DIREÇÃO HORARIA (gr) (° (gr))\" é: 1.0\n",
+      "O valor máximo da coluna \"VENTO, DIREÇÃO HORARIA (gr) (° (gr))\" é: 360.0\n",
+      "O valor mínimo da coluna \"VENTO, VELOCIDADE HORARIA (m/s)\" é: 0.0\n",
+      "O valor máximo da coluna \"VENTO, VELOCIDADE HORARIA (m/s)\" é: 8.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "colunas = [\n",
+    "    'PRECIPITAÇÃO TOTAL, HORÁRIO (mm)',\n",
+    "    'TEMPERATURA DO AR - BULBO SECO, HORARIA (°C)',\n",
+    "    'TEMPERATURA DO PONTO DE ORVALHO (°C)',\n",
+    "    'UMIDADE RELATIVA DO AR, HORARIA (%)',\n",
+    "    'RADIACAO GLOBAL (Kj/m²)',\n",
+    "    'VENTO, DIREÇÃO HORARIA (gr) (° (gr))',\n",
+    "    'VENTO, VELOCIDADE HORARIA (m/s)'\n",
+    "]\n",
+    "\n",
+    "for coluna in colunas:\n",
+    "    df[coluna] = pd.to_numeric(df[coluna], errors='coerce')\n",
+    "\n",
+    "for coluna in colunas:\n",
+    "    valor_minimo = df[coluna].min()\n",
+    "    valor_maximo = df[coluna].max()\n",
+    "    print(f'O valor mínimo da coluna \"{coluna}\" é: {valor_minimo}')\n",
+    "    print(f'O valor máximo da coluna \"{coluna}\" é: {valor_maximo}')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 4. Quantos registros tinham valores nulos antes do tratamento?\n",
+    "\n",
+    "Antes do tratamento haviam haviam 5005 valores nulos"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 5. Qual foi o impacto da normalização de uma coluna específica?\n",
+    "Para a normalização eu considerei a coluna de \"UMIDADE RELATIVA DO AR, HORARIA (%)'].fillna(df['UMIDADE RELATIVA DO AR, HORARIA (%)\".\n",
+    "\n",
+    "Como a normalização serve considerar valores de colunas para um mesmo intervalo, geralmente entre 0 e 1, como um parâmetro, este foi o impacto, proporcionando um \"padrão\" e sendo mais fácil fazer um comparativo dos dados."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\sueid\\AppData\\Local\\Temp\\ipykernel_432\\223406165.py:1: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
+      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
+      "\n",
+      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
+      "\n",
+      "\n",
+      "  df['UMIDADE RELATIVA DO AR, HORARIA (%)'].fillna(df['UMIDADE RELATIVA DO AR, HORARIA (%)'].mean(), inplace=True)\n"
+     ]
+    }
+   ],
+   "source": [
+    "df['UMIDADE RELATIVA DO AR, HORARIA (%)'].fillna(df['UMIDADE RELATIVA DO AR, HORARIA (%)'].mean(), inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['UMIDADE NORMALIZADA'] = (df['UMIDADE RELATIVA DO AR, HORARIA (%)'] - df['UMIDADE RELATIVA DO AR, HORARIA (%)'].min()) / (df['UMIDADE RELATIVA DO AR, HORARIA (%)'].max() - df['UMIDADE RELATIVA DO AR, HORARIA (%)'].min())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "      UMIDADE RELATIVA DO AR, HORARIA (%)  UMIDADE NORMALIZADA\n",
+      "0                                    97.0             0.965116\n",
+      "1                                    88.0             0.860465\n",
+      "2                                    88.0             0.860465\n",
+      "3                                    83.0             0.802326\n",
+      "4                                    89.0             0.872093\n",
+      "...                                   ...                  ...\n",
+      "8779                                 97.0             0.965116\n",
+      "8780                                 91.0             0.895349\n",
+      "8781                                 89.0             0.872093\n",
+      "8782                                 88.0             0.860465\n",
+      "8783                                 94.0             0.930233\n",
+      "\n",
+      "[8784 rows x 2 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df[['UMIDADE RELATIVA DO AR, HORARIA (%)', 'UMIDADE NORMALIZADA']])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 6. Que padrões emergiram após a análise dos dados?\n",
+    "Observei variações na temperatura do ar, é possível observar temperaturas baixas nos períodos entre maio e setembro, e temperaturas mais altas após setembro. E que conforme a temperatura aumenta a umidade tem a tendência de diminuir.\n",
+    "\n",
+    "Sobre as séries temporais das variáveis é possível ver que que existem oscilações ao longo do tempo entre 20º a 40º.\n",
+    "\n",
+    "Tudo isso indica mudanças bruscas no tempo e volatilidade de acordo as épocas do ano.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 7. Como os dados foram agrupados e quais insights foram gerados?\n",
+    "Os dados foram agrupados por meio de uma base pública e dados disponibilizados pela prefeitura de Itaquirai, assim foi realizada a coleta dos dados.\n",
+    "\n",
+    "Com isso, foram realizados ajustes, limpezas, para assim realizar a geração dos gráficos e análise dos dadss.\n",
+    "\n",
+    "Os insights gerados foram de que a temperatura há variações na temperatura de acordo com as épocas no ano de 2020 desta cidade localizada no Estado do Mato Grosso do Sul.\n",
+    "Nos meses mais frios são os que geralmente estão nas estações de outono e inverno. Os meses mais quentes são após setembro, em que há o encerramento do inverno, entrando em estações como primavera e verão."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 8. Quais visualizações forneceram as informações mais valiosas?\n",
+    "As suas visualizações de Temperatura do Ar x Umidade Relativa do Ar. Pois, eu tive a sensação que os dados ficaram mais claros, e melhor distribuídos na visualização, tornando mais claro e acessível. Com isso, foi possível entender mais e tirar insights, ainda mais considerando que eu sou leiga em questões de clima e é o meu primeiro contato extraindo insights de análises de gráficos."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 9. Como o uso de SQL contribuiu para a organização dos resultados?\n",
+    "O SQL contribui permitindo filtrar grandes volumes de dados e extrair as informações que são necessárias, facilitando a limpeza e a organização dos dados, o agrupamento para cálculo de médias, tornando ainda mais clara e confiáveis as visualizações, obtendo insights e análises mais precisas e relevantes."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 10. De que forma os gráficos ajudaram na compreensão dos dados?\n",
+    "Os gráficos ajudaram a visualizar de uma forma mais simples estes dados que considero como complexos, sendo possível compreender a variações de temperaturas de acordo com cada época do ano.\n",
+    "\n",
+    "A forma com que foi selecionada as cores para a representação dos dados também contribuiram para que a análise fosse mais clara, como no exemplo do gráfico de Temperatura do Ar x Umidade Relativa do Ar, tendo tons de roxo, azul, verde e amarelo, em que é possível ver que as porcentagens de maiores umidades estão atreladas as cores amarelas e verdes, e as porcentagens de menores umidades estão atreladas a cores azul e roxo.\n"
+   ]
+  }
+ ],
+ "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": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}