WeatherPy.Final.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What's the Weather Like?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## WeatherPy\n",
    "----\n",
    "\n",
    "### Analysis\n",
    "* As expected, the weather becomes significantly warmer as one approaches the equator (0 Deg. Latitude). More interestingly, however, is the fact that the southern hemisphere tends to be warmer this time of year than the northern hemisphere. This may be due to the tilt of the earth.\n",
    "* There is no strong relationship between latitude and cloudiness. However, it is interesting to see that a strong band of cities sits at 0, 80, and 100% cloudiness.\n",
    "* There is no strong relationship between latitude and wind speed. However, in northern hemispheres there is a flurry of cities with over 20 mph of wind.\n",
    "\n",
    "---\n",
    "\n",
    "#### Note\n",
    "* Instructions have been included for each segment. You do not have to follow them exactly, but they are included to help you think through the steps."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Observable Trends"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* After collecting weather data from 559 random and diverse cities around the world using the OpenWeatherMap API, which was collected on February 1, 2019, the data illustrated maximum temperature (in Fahrenheit), humidity (%), cloudiness (%) and wind speed (in mph) with the corresponding city, and with respect to the geo-coordinate, Latitude. Expectedly, temperatures are higher closer to the Equator (at 0° Latitude) and are much lower in the Northern Hemishpere, at this time of year in February. It is also of worth to note that temperatures peak at around -20° to -30° Latitude, and drop slightly further into the Southern Hemisphere (at -40° Latitude and below), near the South Pole. This data on temperature is the result of seasons and the tilt of the Earth's axis compared to the plane of its revolution around the Sun. Throughout the year the northern and southern hemispheres are alternately turned either toward or away from the sun depending on Earth's position in its orbit. The hemisphere turned toward the sun receives more sunlight and is in summer, while the other hemisphere receives less sun and is in winter.\n",
    "\n",
    "* There seems to be little to no correlation between humidity and Latitude as well as with cloudiness and Latitude. The scatter plot visualizations display a considerable amount of heterogeneity even at similar Latitudes. Basically, they're all over the map. However, a small grouping of cities exhibited abnormally low humity levels (at 0% humidity) in the Northern Hemisphere at around 60° to 75° Latitude.\n",
    "\n",
    "* Finally, wind speeds increase in the upper and lower halves on the hemisphere, especially in the north (around 60° to 70° Latitude), and do not go above 25mph within 30° of the Equator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Dependencies and Setup\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import requests\n",
    "import time\n",
    "import json\n",
    "\n",
    "# Import API Key\n",
    "from api_keys import api_key\n",
    "\n",
    "# Incorporated Citipy to Determine City Based on Latitude & Longitude\n",
    "from citipy import citipy\n",
    "\n",
    "# Range of Latitudes & Longitudes\n",
    "lat_range = (-90, 90)\n",
    "lng_range = (-180, 180)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate Cities List"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "623"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List for Holding lat_lngs & Cities\n",
    "lat_lngs = []\n",
    "cities = []\n",
    "\n",
    "# Create a Set of Random lat & lng Combinations\n",
    "lats = np.random.uniform(low=-90.000, high=90.000, size=1500)\n",
    "lngs = np.random.uniform(low=-180.000, high=180.000, size=1500)\n",
    "lat_lngs = zip(lats, lngs)\n",
    "\n",
    "# Identify Nearest City for Each lat, lng Combination\n",
    "for lat_lng in lat_lngs:\n",
    "    city = citipy.nearest_city(lat_lng[0], lat_lng[1]).city_name\n",
    "    \n",
    "    # If the City is Unique, Then Add it to a Cities List\n",
    "    if city not in cities:\n",
    "        cities.append(city)\n",
    "\n",
    "# Print the City Count to Confirm Sufficient Count\n",
    "len(cities)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Perform API Calls\n",
    "* Perform a weather check on each city using a series of successive API calls.\n",
    "* Include a print log of each city as it'sbeing processed (with the city number and city name).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "    \"coord\": {\n",
      "        \"lon\": 99.18,\n",
      "        \"lat\": 58.6\n",
      "    },\n",
      "    \"weather\": [\n",
      "        {\n",
      "            \"id\": 801,\n",
      "            \"main\": \"Clouds\",\n",
      "            \"description\": \"few clouds\",\n",
      "            \"icon\": \"02n\"\n",
      "        }\n",
      "    ],\n",
      "    \"base\": \"stations\",\n",
      "    \"main\": {\n",
      "        \"temp\": -29.96,\n",
      "        \"pressure\": 1014.13,\n",
      "        \"humidity\": 49,\n",
      "        \"temp_min\": -29.96,\n",
      "        \"temp_max\": -29.96,\n",
      "        \"sea_level\": 1053.06,\n",
      "        \"grnd_level\": 1014.13\n",
      "    },\n",
      "    \"wind\": {\n",
      "        \"speed\": 2.73,\n",
      "        \"deg\": 222\n",
      "    },\n",
      "    \"clouds\": {\n",
      "        \"all\": 24\n",
      "    },\n",
      "    \"dt\": 1549068656,\n",
      "    \"sys\": {\n",
      "        \"message\": 0.0029,\n",
      "        \"country\": \"RU\",\n",
      "        \"sunrise\": 1549070935,\n",
      "        \"sunset\": 1549100744\n",
      "    },\n",
      "    \"id\": 1503037,\n",
      "    \"name\": \"Kodinsk\",\n",
      "    \"cod\": 200\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "# Get Weather Data\n",
    "url = \"http://api.openweathermap.org/data/2.5/weather?\"\n",
    "units = \"imperial\"\n",
    "query_url = f\"{url}appid={api_key}&units={units}&q=\"\n",
    "\n",
    "weather_response = requests.get(query_url + city)\n",
    "weather_json = weather_response.json()\n",
    "print(json.dumps(weather_json, indent=4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Response [200]>\n"
     ]
    }
   ],
   "source": [
    "print(requests.get(query_url + city))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Beginning Data Retrieval\n",
      "-------------------------------\n",
      "Processing Record 1 | Rikitea\n",
      "Processing Record 2 | Ushuaia\n",
      "Processing Record 3 | Yumen\n",
      "Processing Record 4 | Busselton\n",
      "Processing Record 5 | Tommot\n",
      "Processing Record 6 | Albany\n",
      "Processing Record 7 | Tautira\n",
      "Processing Record 8 | Geraldton\n",
      "Processing Record 9 | Saskylakh\n",
      "Processing Record 10 | Jamestown\n",
      "City not found. Skipping...\n",
      "Processing Record 11 | Mar del Plata\n",
      "Processing Record 12 | Prainha\n",
      "Processing Record 13 | Hobart\n",
      "Processing Record 14 | San Miguel\n",
      "Processing Record 15 | Barcelos\n",
      "Processing Record 16 | Upernavik\n",
      "Processing Record 17 | Alice Springs\n",
      "Processing Record 18 | East London\n",
      "Processing Record 19 | Shangrao\n",
      "Processing Record 20 | Victoria\n",
      "City not found. Skipping...\n",
      "Processing Record 21 | Thompson\n",
      "Processing Record 22 | Arcata\n",
      "Processing Record 23 | Ramnagar\n",
      "Processing Record 24 | Baykit\n",
      "Processing Record 25 | Port Alfred\n",
      "Processing Record 26 | Wendo\n",
      "Processing Record 27 | Bethel\n",
      "City not found. Skipping...\n",
      "Processing Record 28 | Norman Wells\n",
      "Processing Record 29 | Jales\n",
      "Processing Record 30 | Qaanaaq\n",
      "Processing Record 31 | Brigantine\n",
      "Processing Record 32 | Shahreza\n",
      "Processing Record 33 | Kaitangata\n",
      "Processing Record 34 | Kapaa\n",
      "Processing Record 35 | Laguna\n",
      "Processing Record 36 | Pombas\n",
      "Processing Record 37 | Cape Town\n",
      "Processing Record 38 | Yershichi\n",
      "Processing Record 39 | Mazagao\n",
      "Processing Record 40 | Punta Arenas\n",
      "Processing Record 41 | Avarua\n",
      "Processing Record 42 | Mataura\n",
      "Processing Record 43 | Lebu\n",
      "Processing Record 44 | Hermanus\n",
      "Processing Record 45 | Husavik\n",
      "Processing Record 46 | Saint-Philippe\n",
      "Processing Record 47 | Nikolskoye\n",
      "Processing Record 48 | Mae Hong Son\n",
      "Processing Record 49 | Sing Buri\n",
      "Processing Record 50 | Coracora\n",
      "Processing Record 51 | Praia da Vitoria\n",
      "Processing Record 52 | Puerto Ayora\n",
      "Processing Record 53 | Grand-Santi\n",
      "Processing Record 54 | Pallasovka\n",
      "Processing Record 55 | Honiara\n",
      "City not found. Skipping...\n",
      "City not found. Skipping...\n",
      "City not found. Skipping...\n",
      "Processing Record 56 | Yellowknife\n",
      "Processing Record 57 | Bluff\n",
      "Processing Record 58 | Yermakovskoye\n",
      "Processing Record 59 | Larsnes\n",
      "Processing Record 60 | Lorengau\n",
      "Processing Record 61 | Mihaileni\n",
      "Processing Record 62 | Kavaratti\n",
      "Processing Record 63 | Praia\n",
      "Processing Record 64 | Pangoa\n",
      "Processing Record 65 | Cabo San Lucas\n",
      "City not found. Skipping...\n",
      "Processing Record 66 | Khatanga\n",
      "Processing Record 67 | Santa Rosalia\n",
      "Processing Record 68 | Westport\n",
      "City not found. Skipping...\n",
      "Processing Record 69 | Arraial do Cabo\n",
      "City not found. Skipping...\n",
      "Processing Record 70 | Barrow\n",
      "Processing Record 71 | Rocha\n",
      "Processing Record 72 | Fortuna\n",
      "Processing Record 73 | Brae\n",
      "Processing Record 74 | Tuktoyaktuk\n",
      "Processing Record 75 | Dalby\n",
      "City not found. Skipping...\n",
      "Processing Record 76 | Vaini\n",
      "Processing Record 77 | Tiksi\n",
      "Processing Record 78 | Mecca\n",
      "Processing Record 79 | Peniche\n",
      "Processing Record 80 | Ponta do Sol\n",
      "Processing Record 81 | Danshui\n",
      "Processing Record 82 | Lata\n",
      "Processing Record 83 | Bonavista\n",
      "Processing Record 84 | Zhigansk\n",
      "Processing Record 85 | Ainazi\n",
      "Processing Record 86 | Butaritari\n",
      "Processing Record 87 | Arlit\n",
      "City not found. Skipping...\n",
      "Processing Record 88 | Ahipara\n",
      "Processing Record 89 | Nyrob\n",
      "Processing Record 90 | Port Said\n",
      "Processing Record 91 | Cockburn Town\n",
      "Processing Record 92 | Tabuk\n",
      "Processing Record 93 | Airai\n",
      "City not found. Skipping...\n",
      "Processing Record 94 | Abaete\n",
      "Processing Record 95 | Cherskiy\n",
      "Processing Record 96 | Zykovo\n",
      "Processing Record 97 | Port Elizabeth\n",
      "Processing Record 98 | Ilulissat\n",
      "Processing Record 99 | Sao Joao da Barra\n",
      "Processing Record 100 | Luzhou\n",
      "City not found. Skipping...\n",
      "Processing Record 101 | Nanortalik\n",
      "Processing Record 102 | Atuona\n",
      "Processing Record 103 | Esperance\n",
      "Processing Record 104 | Maryville\n",
      "Processing Record 105 | Muriti\n",
      "Processing Record 106 | Mason City\n",
      "City not found. Skipping...\n",
      "Processing Record 107 | Bon Accord\n",
      "Processing Record 108 | Amambai\n",
      "Processing Record 109 | Carballo\n",
      "City not found. Skipping...\n",
      "Processing Record 110 | Pisco\n",
      "Processing Record 111 | La Ronge\n",
      "Processing Record 112 | Constitucion\n",
      "Processing Record 113 | Shellbrook\n",
      "City not found. Skipping...\n",
      "Processing Record 114 | Nanakuli\n",
      "Processing Record 115 | Bredasdorp\n",
      "Processing Record 116 | Severo-Kurilsk\n",
      "Processing Record 117 | New Norfolk\n",
      "Processing Record 118 | Kudahuvadhoo\n",
      "Processing Record 119 | Chokurdakh\n",
      "Processing Record 120 | Biak\n",
      "Processing Record 121 | Angol\n",
      "Processing Record 122 | Coquimbo\n",
      "Processing Record 123 | Louga\n",
      "City not found. Skipping...\n",
      "City not found. Skipping...\n",
      "Processing Record 124 | Karratha\n",
      "City not found. Skipping...\n",
      "Processing Record 125 | Marawi\n",
      "City not found. Skipping...\n",
      "Processing Record 126 | Bridlington\n",
      "Processing Record 127 | Leningradskiy\n",
      "Processing Record 128 | Nemuro\n",
      "City not found. Skipping...\n",
      "Processing Record 129 | Maniitsoq\n",
      "Processing Record 130 | Alofi\n",
      "Processing Record 131 | Bonthe\n",
      "Processing Record 132 | Kirkuk\n",
      "Processing Record 133 | Saint-Francois\n",
      "Processing Record 134 | Simpang\n",
      "Processing Record 135 | North Bend\n",
      "City not found. Skipping...\n",
      "City not found. Skipping...\n",
      "Processing Record 136 | Provideniya\n",
      "Processing Record 137 | Plover\n",
      "Processing Record 138 | Lahat\n",
      "Processing Record 139 | Port Blair\n",
      "Processing Record 140 | Hilo\n",
      "Processing Record 141 | Narsaq\n",
      "Processing Record 142 | Isangel\n",
      "Processing Record 143 | Gemena\n",
      "Processing Record 144 | Maceio\n",
      "Processing Record 145 | Atar\n",
      "Processing Record 146 | Cotacachi\n",
      "Processing Record 147 | Marystown\n",
      "Processing Record 148 | Georgetown\n",
      "Processing Record 149 | Belaya Gora\n",
      "Processing Record 150 | Pochutla\n",
      "City not found. Skipping...\n",
      "Processing Record 151 | Port Hardy\n",
      "Processing Record 152 | Mangochi\n",
      "Processing Record 153 | Ukiah\n",
      "Processing Record 154 | Wagar\n",
      "Processing Record 155 | Yenagoa\n",
      "Processing Record 156 | Rawson\n",
      "Processing Record 157 | Sorland\n",
      "Processing Record 158 | Dunedin\n",
      "Processing Record 159 | Jacarezinho\n",
      "Processing Record 160 | Ola\n",
      "Processing Record 161 | Cap-Haitien\n",
      "City not found. Skipping...\n",
      "Processing Record 162 | Clovis\n",
      "Processing Record 163 | Lagoa\n",
      "Processing Record 164 | Hargeysa\n",
      "Processing Record 165 | Kamenka\n",
      "Processing Record 166 | Faya\n",
      "Processing Record 167 | Cardston\n",
      "Processing Record 168 | Novomykolayivka\n",
      "Processing Record 169 | Ostrovnoy\n",
      "Processing Record 170 | Mount Gambier\n",
      "Processing Record 171 | Aykhal\n",
      "Processing Record 172 | Sitka\n",
      "City not found. Skipping...\n",
      "Processing Record 173 | Road Town\n",
      "Processing Record 174 | Viedma\n",
      "Processing Record 175 | Vanderhoof\n",
      "Processing Record 176 | Tazovskiy\n",
      "Processing Record 177 | Wanaka\n",
      "Processing Record 178 | Bilma\n",
      "Processing Record 179 | Nome\n",
      "Processing Record 180 | Pevek\n",
      "Processing Record 181 | Lulea\n",
      "Processing Record 182 | Male\n",
      "Processing Record 183 | Puri\n",
      "Processing Record 184 | Malkangiri\n",
      "Processing Record 185 | Bubaque\n",
      "Processing Record 186 | Staryy Nadym\n",
      "Processing Record 187 | Kununurra\n",
      "Processing Record 188 | Longyearbyen\n",
      "Processing Record 189 | Pangnirtung\n",
      "Processing Record 190 | Saint-Augustin\n",
      "City not found. Skipping...\n",
      "Processing Record 191 | Faranah\n",
      "Processing Record 192 | Hambantota\n",
      "Processing Record 193 | Zhuanghe\n",
      "Processing Record 194 | Lodja\n",
      "Processing Record 195 | Talnakh\n",
      "Processing Record 196 | Ribeira Grande\n",
      "Processing Record 197 | Sundargarh\n",
      "Processing Record 198 | Grand Gaube\n",
      "Processing Record 199 | Kenai\n",
      "Processing Record 200 | Nelson Bay\n",
      "Processing Record 201 | Virginia Beach\n",
      "Processing Record 202 | Punganuru\n",
      "Processing Record 203 | Kodinsk\n",
      "Processing Record 204 | Dudinka\n",
      "Processing Record 205 | San Patricio\n",
      "Processing Record 206 | Ginda\n",
      "Processing Record 207 | Sari\n",
      "Processing Record 208 | Pangody\n",
      "Processing Record 209 | Broome\n",
      "Processing Record 210 | Ammon\n",
      "Processing Record 211 | Russell\n",
      "Processing Record 212 | Antalaha\n",
      "Processing Record 213 | Seoul\n",
      "Processing Record 214 | Entre Rios\n",
      "Processing Record 215 | Dikson\n",
      "Processing Record 216 | Lac du Bonnet\n",
      "Processing Record 217 | Pangai\n",
      "Processing Record 218 | Namatanai\n",
      "Processing Record 219 | Okhotsk\n",
      "Processing Record 220 | Newport\n",
      "Processing Record 221 | Ust-Kuyga\n",
      "Processing Record 222 | Kruisfontein\n",
      "Processing Record 223 | Vredendal\n",
      "Processing Record 224 | Hanzhong\n",
      "Processing Record 225 | Marienburg\n",
      "Processing Record 226 | Shonguy\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing Record 227 | Te Anau\n",
      "Processing Record 228 | Camacha\n",
      "Processing Record 229 | Volzhskiy\n",
      "City not found. Skipping...\n",
      "Processing Record 230 | Tres Arroyos\n",
      "Processing Record 231 | Kodiak\n",
      "Processing Record 232 | Makubetsu\n",
      "Processing Record 233 | Pokhara\n",
      "Processing Record 234 | Camacupa\n",
      "Processing Record 235 | Yishui\n",
      "Processing Record 236 | Kahului\n",
      "Processing Record 237 | Carnarvon\n",
      "Processing Record 238 | Samarai\n",
      "Processing Record 239 | San Quintin\n",
      "Processing Record 240 | Plettenberg Bay\n",
      "Processing Record 241 | Dabola\n",
      "Processing Record 242 | Egvekinot\n",
      "Processing Record 243 | Wewak\n",
      "Processing Record 244 | Tasiilaq\n",
      "City not found. Skipping...\n",
      "Processing Record 245 | Bandarbeyla\n",
      "City not found. Skipping...\n",
      "Processing Record 246 | Henties Bay\n",
      "Processing Record 247 | Dubbo\n",
      "Processing Record 248 | Rabo de Peixe\n",
      "Processing Record 249 | Naze\n",
      "Processing Record 250 | Dromolaxia\n",
      "Processing Record 251 | Saquarema\n",
      "City not found. Skipping...\n",
      "Processing Record 252 | Klaksvik\n",
      "Processing Record 253 | Ovsyanka\n",
      "Processing Record 254 | Houston\n",
      "Processing Record 255 | Hithadhoo\n",
      "Processing Record 256 | Ituporanga\n",
      "Processing Record 257 | Legnica\n",
      "Processing Record 258 | Tres Picos\n",
      "Processing Record 259 | Hirata\n",
      "Processing Record 260 | Katsuura\n",
      "Processing Record 261 | Tigzirt\n",
      "Processing Record 262 | Kayasula\n",
      "Processing Record 263 | Sangar\n",
      "Processing Record 264 | Khandyga\n",
      "Processing Record 265 | The Valley\n",
      "Processing Record 266 | Ayan\n",
      "Processing Record 267 | Torbay\n",
      "Processing Record 268 | Imbituba\n",
      "Processing Record 269 | Dubai\n",
      "Processing Record 270 | Acapulco\n",
      "Processing Record 271 | Zhangye\n",
      "Processing Record 272 | Key West\n",
      "Processing Record 273 | Skjervoy\n",
      "Processing Record 274 | Cayenne\n",
      "Processing Record 275 | Port-Gentil\n",
      "City not found. Skipping...\n",
      "Processing Record 276 | Salym\n",
      "Processing Record 277 | Sambava\n",
      "Processing Record 278 | Inyonga\n",
      "Processing Record 279 | Salacgriva\n",
      "Processing Record 280 | Rundu\n",
      "Processing Record 281 | Cidreira\n",
      "City not found. Skipping...\n",
      "City not found. Skipping...\n",
      "Processing Record 282 | Chato\n",
      "Processing Record 283 | Mogadishu\n",
      "Processing Record 284 | Luanda\n",
      "Processing Record 285 | Teguldet\n",
      "Processing Record 286 | Upata\n",
      "Processing Record 287 | Kathmandu\n",
      "Processing Record 288 | Beira\n",
      "Processing Record 289 | Hualmay\n",
      "Processing Record 290 | Fare\n",
      "Processing Record 291 | Lavrentiya\n",
      "Processing Record 292 | Batemans Bay\n",
      "Processing Record 293 | Omsukchan\n",
      "Processing Record 294 | Smidovich\n",
      "Processing Record 295 | Lompoc\n",
      "Processing Record 296 | Jijiga\n",
      "City not found. Skipping...\n",
      "Processing Record 297 | Saint-Pierre\n",
      "Processing Record 298 | Touros\n",
      "Processing Record 299 | Daru\n",
      "Processing Record 300 | Portland\n",
      "Processing Record 301 | Syracuse\n",
      "Processing Record 302 | Athmallik\n",
      "Processing Record 303 | Sao Filipe\n",
      "Processing Record 304 | Termoli\n",
      "Processing Record 305 | Sakaraha\n",
      "Processing Record 306 | Harlingen\n",
      "Processing Record 307 | Effium\n",
      "Processing Record 308 | Port Augusta\n",
      "Processing Record 309 | Tual\n",
      "Processing Record 310 | Kavieng\n",
      "Processing Record 311 | Jinhua\n",
      "City not found. Skipping...\n",
      "Processing Record 312 | Atambua\n",
      "Processing Record 313 | Turbat\n",
      "Processing Record 314 | Pitimbu\n",
      "Processing Record 315 | Salinopolis\n",
      "Processing Record 316 | Srednekolymsk\n",
      "Processing Record 317 | Tumpat\n",
      "Processing Record 318 | Muros\n",
      "Processing Record 319 | Mahebourg\n",
      "Processing Record 320 | Basco\n",
      "Processing Record 321 | Kon Tum\n",
      "Processing Record 322 | Manyoni\n",
      "Processing Record 323 | Itaituba\n",
      "Processing Record 324 | Gouyave\n",
      "Processing Record 325 | Clyde River\n",
      "Processing Record 326 | Trinidad\n",
      "City not found. Skipping...\n",
      "Processing Record 327 | Kirakira\n",
      "Processing Record 328 | Panalingaan\n",
      "Processing Record 329 | Lasem\n",
      "Processing Record 330 | Sedhiou\n",
      "Processing Record 331 | Alihe\n",
      "Processing Record 332 | Nueve de Julio\n",
      "Processing Record 333 | Satipo\n",
      "Processing Record 334 | Comodoro Rivadavia\n",
      "Processing Record 335 | Lasa\n",
      "Processing Record 336 | Gobabis\n",
      "City not found. Skipping...\n",
      "Processing Record 337 | Castro\n",
      "Processing Record 338 | Tumaco\n",
      "Processing Record 339 | Vanimo\n",
      "City not found. Skipping...\n",
      "City not found. Skipping...\n",
      "Processing Record 340 | Sinnamary\n",
      "Processing Record 341 | Yar-Sale\n",
      "Processing Record 342 | Palana\n",
      "Processing Record 343 | Kieta\n",
      "Processing Record 344 | Alyangula\n",
      "Processing Record 345 | Adrar\n",
      "Processing Record 346 | Komsomolskiy\n",
      "Processing Record 347 | Vao\n",
      "Processing Record 348 | Sept-Iles\n",
      "Processing Record 349 | Nouadhibou\n",
      "Processing Record 350 | Kathu\n",
      "Processing Record 351 | Kaa-Khem\n",
      "Processing Record 352 | Makat\n",
      "Processing Record 353 | Luderitz\n",
      "Processing Record 354 | Chicama\n",
      "City not found. Skipping...\n",
      "Processing Record 355 | Las Cruces\n",
      "Processing Record 356 | Thinadhoo\n",
      "Processing Record 357 | Savonlinna\n",
      "Processing Record 358 | College\n",
      "Processing Record 359 | Qasigiannguit\n",
      "Processing Record 360 | Lokosovo\n",
      "Processing Record 361 | Mayo\n",
      "Processing Record 362 | Nakhon Si Thammarat\n",
      "Processing Record 363 | Evanston\n",
      "City not found. Skipping...\n",
      "Processing Record 364 | Acoyapa\n",
      "Processing Record 365 | Lardos\n",
      "Processing Record 366 | Lerwick\n",
      "City not found. Skipping...\n",
      "Processing Record 367 | Tilichiki\n",
      "Processing Record 368 | Port Hawkesbury\n",
      "Processing Record 369 | Takoradi\n",
      "Processing Record 370 | Karasjok\n",
      "Processing Record 371 | Calabozo\n",
      "Processing Record 372 | Abnub\n",
      "Processing Record 373 | Popondetta\n",
      "Processing Record 374 | Shahrud\n",
      "Processing Record 375 | Kisangani\n",
      "Processing Record 376 | Inuvik\n",
      "Processing Record 377 | Rio Bueno\n",
      "Processing Record 378 | Saldanha\n",
      "Processing Record 379 | Tonantins\n",
      "Processing Record 380 | Malm\n",
      "Processing Record 381 | Badou\n",
      "City not found. Skipping...\n",
      "Processing Record 382 | Gibara\n",
      "City not found. Skipping...\n",
      "Processing Record 383 | La Orilla\n",
      "Processing Record 384 | Cap Malheureux\n",
      "Processing Record 385 | Jaumave\n",
      "Processing Record 386 | Kristiansund\n",
      "Processing Record 387 | Yoichi\n",
      "Processing Record 388 | Bambous Virieux\n",
      "Processing Record 389 | Sharjah\n",
      "City not found. Skipping...\n",
      "Processing Record 390 | Aklavik\n",
      "Processing Record 391 | Kasulu\n",
      "Processing Record 392 | Hailar\n",
      "Processing Record 393 | Yarmouth\n",
      "Processing Record 394 | Nanzhang\n",
      "Processing Record 395 | Mizan Teferi\n",
      "Processing Record 396 | Deputatskiy\n",
      "Processing Record 397 | Fort Nelson\n",
      "Processing Record 398 | Chaihe\n",
      "Processing Record 399 | Verkhnevilyuysk\n",
      "Processing Record 400 | Suluq\n",
      "Processing Record 401 | Olga\n",
      "Processing Record 402 | Toora-Khem\n",
      "Processing Record 403 | Chuy\n",
      "Processing Record 404 | Taoudenni\n",
      "Processing Record 405 | Mian Channun\n",
      "City not found. Skipping...\n",
      "Processing Record 406 | Lagos\n",
      "Processing Record 407 | Tamiahua\n",
      "Processing Record 408 | Erzin\n",
      "Processing Record 409 | Palmer\n",
      "Processing Record 410 | Patacamaya\n",
      "Processing Record 411 | Chambersburg\n",
      "Processing Record 412 | Iqaluit\n",
      "City not found. Skipping...\n",
      "Processing Record 413 | Alice\n",
      "Processing Record 414 | Ambilobe\n",
      "Processing Record 415 | Pandan\n",
      "City not found. Skipping...\n",
      "Processing Record 416 | Skibbereen\n",
      "Processing Record 417 | Rome\n",
      "Processing Record 418 | Port Hedland\n",
      "Processing Record 419 | Tutoia\n",
      "Processing Record 420 | Mehamn\n",
      "Processing Record 421 | Minab\n",
      "Processing Record 422 | Tuni\n",
      "City not found. Skipping...\n",
      "Processing Record 423 | Guaymas\n",
      "Processing Record 424 | Pokaran\n",
      "Processing Record 425 | Oudtshoorn\n",
      "Processing Record 426 | Banjar\n",
      "City not found. Skipping...\n",
      "Processing Record 427 | Troitskoye\n",
      "Processing Record 428 | Susangerd\n",
      "Processing Record 429 | Saint George\n",
      "City not found. Skipping...\n",
      "Processing Record 430 | Casper\n",
      "Processing Record 431 | Matara\n",
      "Processing Record 432 | Panikian\n",
      "Processing Record 433 | Hay River\n",
      "Processing Record 434 | Kilindoni\n",
      "Processing Record 435 | Muisne\n",
      "Processing Record 436 | Yima\n",
      "Processing Record 437 | Duldurga\n",
      "Processing Record 438 | Dickinson\n",
      "Processing Record 439 | Ullapool\n",
      "Processing Record 440 | Sucua\n",
      "Processing Record 441 | Quang Ngai\n",
      "Processing Record 442 | Mehriz\n",
      "Processing Record 443 | Silistea\n",
      "Processing Record 444 | Sabha\n",
      "Processing Record 445 | Faanui\n",
      "Processing Record 446 | Ancud\n",
      "Processing Record 447 | Oranjemund\n",
      "Processing Record 448 | Paita\n",
      "Processing Record 449 | Bay Roberts\n",
      "Processing Record 450 | Yabrud\n",
      "Processing Record 451 | Kawalu\n",
      "Processing Record 452 | Havoysund\n",
      "Processing Record 453 | Gizo\n",
      "Processing Record 454 | Pilar\n",
      "Processing Record 455 | Sokoni\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing Record 456 | Ulaangom\n",
      "Processing Record 457 | Aurora\n",
      "Processing Record 458 | Gazli\n",
      "Processing Record 459 | Byron Bay\n",
      "Processing Record 460 | Vila\n",
      "Processing Record 461 | Fukue\n",
      "Processing Record 462 | Ulaanbaatar\n",
      "Processing Record 463 | Zhob\n",
      "Processing Record 464 | Allanridge\n",
      "Processing Record 465 | Maningrida\n",
      "Processing Record 466 | Taloqan\n",
      "Processing Record 467 | Prince Rupert\n",
      "Processing Record 468 | Mount Isa\n",
      "Processing Record 469 | Bowen\n",
      "Processing Record 470 | Qaqortoq\n",
      "Processing Record 471 | Anaconda\n",
      "Processing Record 472 | Kapit\n",
      "Processing Record 473 | Bismarck\n",
      "Processing Record 474 | Innisfail\n",
      "Processing Record 475 | Bulawayo\n",
      "Processing Record 476 | Aiken\n",
      "Processing Record 477 | Tuatapere\n",
      "Processing Record 478 | Costinesti\n",
      "Processing Record 479 | Kargopol\n",
      "Processing Record 480 | Bontang\n",
      "Processing Record 481 | Lebane\n",
      "Processing Record 482 | Santa Cruz\n",
      "Processing Record 483 | Vagur\n",
      "Processing Record 484 | Vale da Amoreira\n",
      "Processing Record 485 | Myaundzha\n",
      "Processing Record 486 | Xingtai\n",
      "City not found. Skipping...\n",
      "Processing Record 487 | Luganville\n",
      "Processing Record 488 | Trincomalee\n",
      "Processing Record 489 | Acajutla\n",
      "Processing Record 490 | Bathsheba\n",
      "Processing Record 491 | Alekseyevsk\n",
      "Processing Record 492 | Hami\n",
      "Processing Record 493 | Haines Junction\n",
      "Processing Record 494 | Saint-Junien\n",
      "City not found. Skipping...\n",
      "City not found. Skipping...\n",
      "Processing Record 495 | Axim\n",
      "Processing Record 496 | Chapais\n",
      "Processing Record 497 | Souillac\n",
      "Processing Record 498 | Pasni\n",
      "City not found. Skipping...\n",
      "Processing Record 499 | Wuwei\n",
      "Processing Record 500 | Andros Town\n",
      "Processing Record 501 | Itarema\n",
      "Processing Record 502 | Koltubanovskiy\n",
      "Processing Record 503 | Mwingi\n",
      "Processing Record 504 | Birao\n",
      "Processing Record 505 | Springbok\n",
      "Processing Record 506 | Coihaique\n",
      "Processing Record 507 | Ontario\n",
      "Processing Record 508 | Katangli\n",
      "City not found. Skipping...\n",
      "Processing Record 509 | Bilibino\n",
      "Processing Record 510 | Quesnel\n",
      "Processing Record 511 | El Alto\n",
      "City not found. Skipping...\n",
      "Processing Record 512 | Ubatuba\n",
      "Processing Record 513 | Alta Floresta\n",
      "Processing Record 514 | Fuyang\n",
      "Processing Record 515 | Ryabovo\n",
      "Processing Record 516 | Yazoo City\n",
      "Processing Record 517 | San Cristobal\n",
      "Processing Record 518 | Riyadh\n",
      "Processing Record 519 | Vostok\n",
      "Processing Record 520 | Chara\n",
      "Processing Record 521 | Yanam\n",
      "Processing Record 522 | Zhangjiakou\n",
      "Processing Record 523 | Lixourion\n",
      "Processing Record 524 | Uzice\n",
      "Processing Record 525 | Parabel\n",
      "Processing Record 526 | Port Macquarie\n",
      "Processing Record 527 | Storozhevaya\n",
      "Processing Record 528 | Beringovskiy\n",
      "Processing Record 529 | Along\n",
      "Processing Record 530 | Osinniki\n",
      "Processing Record 531 | Gushikawa\n",
      "Processing Record 532 | Dahra\n",
      "Processing Record 533 | San Matias\n",
      "Processing Record 534 | Eyl\n",
      "Processing Record 535 | Malpe\n",
      "Processing Record 536 | Ashqelon\n",
      "Processing Record 537 | Piedras Negras\n",
      "Processing Record 538 | Orlik\n",
      "Processing Record 539 | Mimongo\n",
      "City not found. Skipping...\n",
      "Processing Record 540 | Jiexiu\n",
      "Processing Record 541 | Tougue\n",
      "Processing Record 542 | Calama\n",
      "City not found. Skipping...\n",
      "City not found. Skipping...\n",
      "Processing Record 543 | Kishanganj\n",
      "Processing Record 544 | Los Llanos de Aridane\n",
      "Processing Record 545 | Ziro\n",
      "Processing Record 546 | Ondo\n",
      "Processing Record 547 | Aginskoye\n",
      "Processing Record 548 | Kaeo\n",
      "Processing Record 549 | Manali\n",
      "City not found. Skipping...\n",
      "Processing Record 550 | Avera\n",
      "Processing Record 551 | Athabasca\n",
      "Processing Record 552 | Emerald\n",
      "Processing Record 553 | Flic en Flac\n",
      "Processing Record 554 | San Rafael Abajo\n",
      "City not found. Skipping...\n",
      "Processing Record 555 | Port Lincoln\n",
      "Processing Record 556 | Mildura\n",
      "Processing Record 557 | Mnogovershinnyy\n",
      "City not found. Skipping...\n",
      "Processing Record 558 | Caravelas\n",
      "Processing Record 559 | Mount Airy\n",
      "-------------------------------\n",
      "Data Retrieval Complete\n",
      "-------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Set Up Lists to Hold Reponse Info\n",
    "city_name = []\n",
    "country = []\n",
    "date = []\n",
    "latitude = []\n",
    "longitude = []\n",
    "max_temperature = []\n",
    "humidity = []\n",
    "cloudiness = []\n",
    "wind_speed = []\n",
    "\n",
    "# Processing Record Counter Starting a 1\n",
    "processing_record = 1\n",
    "\n",
    "# Print Starting Log Statement\n",
    "print(f\"Beginning Data Retrieval\")\n",
    "print(f\"-------------------------------\")\n",
    "\n",
    "# Loop Through List of Cities & Perform a Request for Data on Each\n",
    "for city in cities:\n",
    "\n",
    "# Exception Handling\n",
    "    try:\n",
    "        response = requests.get(query_url + city).json()\n",
    "        city_name.append(response[\"name\"])\n",
    "        country.append(response[\"sys\"][\"country\"])\n",
    "        date.append(response[\"dt\"])\n",
    "        latitude.append(response[\"coord\"][\"lat\"])\n",
    "        longitude.append(response[\"coord\"][\"lon\"])\n",
    "        max_temperature.append(response[\"main\"][\"temp_max\"])\n",
    "        humidity.append(response[\"main\"][\"humidity\"])\n",
    "        cloudiness.append(response[\"clouds\"][\"all\"])\n",
    "        wind_speed.append(response[\"wind\"][\"speed\"])\n",
    "        city_record = response[\"name\"]\n",
    "        print(f\"Processing Record {processing_record} | {city_record}\")\n",
    "        \n",
    "        # Increase Processing Record Counter by 1 For Each Loop\n",
    "        processing_record += 1\n",
    "        \n",
    "    except:\n",
    "        print(\"City not found. Skipping...\") \n",
    "    continue\n",
    "\n",
    "# Print Ending Log Statement\n",
    "print(f\"-------------------------------\")\n",
    "print(f\"Data Retrieval Complete\")\n",
    "print(f\"-------------------------------\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Convert Raw Data to DataFrame\n",
    "* Export the city data into a .csv.\n",
    "* Display the DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "City               559\n",
       "Country            559\n",
       "Date               559\n",
       "Latitude           559\n",
       "Longitude          559\n",
       "Max Temperature    559\n",
       "Humidity           559\n",
       "Cloudiness         559\n",
       "Wind Speed         559\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a DataFrame from Cities, Latitude, Longitude, Temperature, Humidity, Cloudiness & Wind Speed\n",
    "weather_dict = {\n",
    "    \"City\": city_name,\n",
    "    \"Country\": country,\n",
    "    \"Date\": date,\n",
    "    \"Latitude\": latitude,\n",
    "    \"Longitude\": longitude,\n",
    "    \"Max Temperature\": max_temperature,\n",
    "    \"Humidity\": humidity,\n",
    "    \"Cloudiness\": cloudiness,\n",
    "    \"Wind Speed\": wind_speed\n",
    "}\n",
    "\n",
    "weather_data = pd.DataFrame(weather_dict)\n",
    "weather_data.count()"
   ]
  },
  {
   "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>City</th>\n",
       "      <th>Country</th>\n",
       "      <th>Date</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Max Temperature</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Cloudiness</th>\n",
       "      <th>Wind Speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Rikitea</td>\n",
       "      <td>PF</td>\n",
       "      <td>1549068659</td>\n",
       "      <td>-23.12</td>\n",
       "      <td>-134.97</td>\n",
       "      <td>81.47</td>\n",
       "      <td>99</td>\n",
       "      <td>48</td>\n",
       "      <td>8.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ushuaia</td>\n",
       "      <td>AR</td>\n",
       "      <td>1549066500</td>\n",
       "      <td>-54.81</td>\n",
       "      <td>-68.31</td>\n",
       "      <td>50.00</td>\n",
       "      <td>53</td>\n",
       "      <td>90</td>\n",
       "      <td>25.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Yumen</td>\n",
       "      <td>CN</td>\n",
       "      <td>1549068659</td>\n",
       "      <td>40.29</td>\n",
       "      <td>97.04</td>\n",
       "      <td>12.12</td>\n",
       "      <td>77</td>\n",
       "      <td>36</td>\n",
       "      <td>14.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Busselton</td>\n",
       "      <td>AU</td>\n",
       "      <td>1549068659</td>\n",
       "      <td>-33.64</td>\n",
       "      <td>115.35</td>\n",
       "      <td>65.54</td>\n",
       "      <td>100</td>\n",
       "      <td>32</td>\n",
       "      <td>16.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Tommot</td>\n",
       "      <td>RU</td>\n",
       "      <td>1549068660</td>\n",
       "      <td>58.97</td>\n",
       "      <td>126.27</td>\n",
       "      <td>-36.93</td>\n",
       "      <td>68</td>\n",
       "      <td>32</td>\n",
       "      <td>2.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        City Country        Date  Latitude  Longitude  Max Temperature  \\\n",
       "0    Rikitea      PF  1549068659    -23.12    -134.97            81.47   \n",
       "1    Ushuaia      AR  1549066500    -54.81     -68.31            50.00   \n",
       "2      Yumen      CN  1549068659     40.29      97.04            12.12   \n",
       "3  Busselton      AU  1549068659    -33.64     115.35            65.54   \n",
       "4     Tommot      RU  1549068660     58.97     126.27           -36.93   \n",
       "\n",
       "   Humidity  Cloudiness  Wind Speed  \n",
       "0        99          48        8.10  \n",
       "1        53          90       25.28  \n",
       "2        77          36       14.14  \n",
       "3       100          32       16.26  \n",
       "4        68          32        2.51  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Display DataFrame\n",
    "weather_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export & Save Data Into a .csv.\n",
    "weather_data.to_csv(\"./Data/weather_data.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting the Data\n",
    "* Use proper labeling of the plots using plot titles (including date of analysis) and axes labels.\n",
    "* Save the plotted figures as .pngs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Temperature Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build Scatter Plot for Each Data Type\n",
    "plt.scatter(weather_data[\"Latitude\"], weather_data[\"Max Temperature\"], facecolors=\"red\", marker=\"o\", edgecolor=\"black\")\n",
    "\n",
    "# Incorporate Other Graph Properties\n",
    "plt.title(\"City Latitude vs. Max Temperature (02/01/2019)\")\n",
    "plt.ylabel(\"Max Temperature (°F)\")\n",
    "plt.xlabel(\"Latitude\")\n",
    "plt.grid(True)\n",
    "\n",
    "# Save Figure\n",
    "plt.savefig(\"./Data/City_Latitude_vs_Max_Temperature.png\")\n",
    "\n",
    "# Show Plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Humidity Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wfsGCBUXRMzQ0RP9z/YwdGRuv43e59Z3QeALPP+tkZAyicW50upkDDKMzGkxHfxzC7o9Sr5du5/8TJp/A84efz70/SrlRrnlpNvDN397EKwnaT2ynpaUlc4u/3zO8DunzsLHijolM384Y0ymiAur3I3QchvDkhBNO4Pmx53POn3TSSTl0ZPp9iqF8b//MZZyv+cZTAbxiLpyQOIHnR58PH1uGsWMs+3fhPCrlexznG3jOOedsV0qdle++Wpkgvgv8P98E8VdKqe1h5Z911lnqJz/Rc8i2bdtYuHBhWdpRToTRPe+0efS/vV9LGC6eBb6BzrTsnt8B/BuwG9pPbae7q5uOKzsKoqd1TiuDhwd1puJZwJ8Aj6EXAT109LT3cP1fXQ9HgIvIpfF+dC4z77lN6I9BK3oBcr5zfgs6ZQ2e34sN7fReJ5cmtqKTRB5GS2RJYMSp7xDwXuh5dw/XP3V9Fs84Bp35+El0BmNTnd9AZyT21+m2dZKB5tsD7r8bnVrnnUAztP+wnZ1P7czc4u/3ntN6uH7l9UY+u88GjRVv2VHuMSFwHAb1g8OTnv/Tw/WvXJ9TFxBc3srsMjKprLzXVwOnA/9FcF8ZzufjlVt+z4werv/Z9fnpc3+HlX07ge9I8ltJRi8fjd0fQYjzDRSRSBNEpa2Y/uAuHTl/3eQbz5Odc/cExufeCYvurm6aHmzSg3EUeBZSD6RISEInlHwWncbkEfQA/Jx+8ZZ/YnlBm119G/sY3DuYKYuLnLLbGa/PoYM96I/qAXQ2a++1b6M/0t5zm9FJLT+L/qBsdY770B9KF23ALqe+0w313gu8w6nbW+9WdPaDK9BLPc3ABzz1CfBNhy4fz1jsPNvilOVvz2aHFn+dLj2HnWvfRuc7c2l+RwD97/Hw4FUYeGYgqx9y+v0wNIw2kHoglVVW04NNdHd1m5/xXQennjay0ZZbvx+msgP7wbmWHE4iiJGeIDrY5Sv/kFOHt75nIXEoofvrj9Djx99Xo7l8Tz2QCuWVt3yUoU2bnbYa7g/tB/cdMdCz/EPL8/ZZ1RFlo6LQA5120btJfSPZm9T/6Pz/HrI3qf8zSvlH+ya1UnrTq/3UdiUJUem5aZWenVYIeiMu6WyKLkPR5TmWodpPbY9NS/up7caySKEkpetH9KZbT0+PohE1dcZUtei8RSrZlNQpHGehWOIcx5C5n7MN5Yacl5QoBJWendZtFWdDssEp8xgUb/HV4dJ+jJknXrqD6k3PTme1JzEloabOmKokIar91HbVuaJT84FxviBk9Y2kRPcLqKkzp47fP8tH8ywUU8195e33W2+7VfX29Wadaz+13bjhG3Y9qH+jjBXTOAziSXp2WvX29arNmzcb6QkcZ41kypg6c6qaOnNqDp/bT23XdbnPm8bZEhTTyPRBYkoihxeLzls0Xl8j+l1y6uq5qUf30yx9zh0LyaZkVl9H7YfOFZ16bDj0pOemsza1w/osDsqxSV3OyeFu9CrbCFpD+DCQRstNv3X+tjj3CloZewat/J8VpY6JMEG4CLJSQZzf3pftc/qFiQtJiLksyBm4Lt0Zus52XrCA54NojGLFkc+iimay+RDCk56+nnGrpSXZ1yUhsXkWi7eXkmN1w1RU54rO0GdLNbbLaelkQhDdvX29ORZZzNDWSVFoCRunpvP+fu1c0ZlrpTTVGVtdqJ6NPRUZE6VGvVkxfUApNUcp1aCUOkEp9VWl1KBSapFS6lTn75Bzr1JKrVRKnayUmq8Mm9MTHVnWEb8CtsCBlw/oTb5tvpsHIDklGVhWkCVL28lt4F9tGIDElARXXXWV0eolQ9eT6D0Lw/PJpuT4+R1oUeAGTeOyy5bR/sN2pFto/2E7625eZ9w/mTJpirZ7+y5MZSrph9NIt+h9jTPR+wxuHd7/PXTQihZFXKulx7Kvt53sX/fIRaF2620nt+l+8lndcBlseXhL2KMlQ8eVHay7eV0kfpebjmmpaXqP4Qb0Wv65MHLpSCQLnqBxmjXOPOf9/brua+tyrZQuw/geRRkTRzOsJ3WdILNuuwOtey1Gr69fgV6P3cr4+uh9MHpw1FhO38Y+ln9iOf1v70etUll7Fsa12c0wdtZYzr05dO0CFpK7JnwP42ut7r6DQ/vo5aNsuGcD3V3djI2OsfOpnTkfK5fewfMG9X7BB0A1KlbfuJqx0TG96b0QvY9xD8Fr/0F7HTHWfsN4lw/dXd16Q7yAPYBSouPKDnY+tTOQ35XC0EtD8BfA36E3eucTmRdB+y1R1/RHD4ya90B2M74HUYv7AVWAnSDqBBmp6TFypdAlaIsOVxqbD+2ntGc9n7E7v3ppoO21X8JMfiuppfNFuffm0NWKNlNc5NBwA3A/pKelWXP7GtbdvI7k9mQO7fnsvvPZ97ef0q7rn48ezfejJ4cx9KRwA1rLmO8cLhwtK58k7dUYll27jAOvLcxuvePKDtJz05Ek3HpAmCblXtu+fXuglhWkBUThRZAm5I6zfBpSkKaRmJLQVlYvUjXtqtZgJ4g6QUZq2oVZ+jlMxmKn6TfZko9X8mXE/LwruXklzLFDY1o6D7g3i67XoT/IzcBHgQ9CU0MTq7+0OlPu2KGx2BJ0PsubLGnyXPTE8EHgL9GT0VS0qcQOsqTD1AMpNtyxIVSS9msMo5eP6nJ2RKffi9U3rq59q5UICNOkssbanGCruihWV2EI0oSiaEjLP7TcaKX051f/OTuf2smCBQuqql3VEuwEUSdwpabkFLP0EyQNZ7yiXz6gJftmIktuUaS8jDT3+3Z4Rdt2c4NZAitEasz3jFea5F6Qg6LNI74AiW8m4Hi0P/8etCbxInA3eg08AGHaFhcDD6D3UXbk0h8mWVdrD6DU8X7CtLqsa0KgllUpXpjavub2NXR+sFOP1S+A3C00Nzbzla98hdY5rTzx8ydqNzZSpRFlJ7tWj4lkxeTCaIHRbLaECYw500QkS5Ywq5dC+F2IFU3UZ4LiVmViQhliMeUtJ8QaymR5Uy4roWLGdjloCrIikoRkXau2NVCUtpss5PKNkVpFXZm5VuKohQmiWDvmuHS3n9queC2KyY5Z32QUrzXbsgfam88kY+Odj+ag9hXK70L41bmiM8sW3TQZBrU1PTetrzn+IpmPVoAPQFY5Qf4Ux3j+T43zsBg/gzD+FDO207PTuq9d35El2TQV0h9h7Zw6Y2pmbPZ8yfEn8NXn9ZmYOkP7iXh9Bkz0mHwLwn5H7Y+se2YGj5EofCqlT0MhsBNEjU0QpZDO4tKdcRjz1MlMjH4Pgfbikiv9xkWl+B2Vx2FSrfd61stvkGyzylkSwOslPl4uC/dJiSo9B7V18+bNBfOOqQb6L9V0Fzp+g55bdN6iLO22Z72Oiuo6qhn9H/xRUn2/m45tMkY9zbrPEFE2an9k+nsJGT8K/xiB/P46lfYxMaGu/CAmAqJG0CwlklNyLYG42Oz3ELR+TyOx7M5dnHv+uchkHdN++39v59zzzy24HVERlccts1tC9yqi7n9k/BW+hN5rcPcuvoC2kFrEuDWUa73l0BS0PxTVSimorS/87oVIz5vK4zJy91C26fFS6PgN2j/Y9vi2bP+CRmAJjI2NZejxR6TNREl1fHvYj7bI+9U4Paaop1nP/SewD733dIv+P2p/ZFkHBvjx0EhePlXjW1AJ2AmiCBQa26YYjB4023Cb/B6Mfg33oQObxLA7Bz05bP3RVu138TmgBbb+aGvZJ4koPO7b2Mer+16NFn/nMKFWM4vPW6w/OAl0LKfPAVeANAkpSelNfpNvhdMHxVjmBLV1+PBwpOejlsduTWsx49dkLRToXzCMtmx6uj84BpPXt+f9zu8d+npguS+jY2q5Y/ID6H57EHg1Wn90d3XrGFdePx7PGOEe53cePlXjW1AJ2AmiCBRjy10o0nPMtvRevwfXcuOqq65iSmIK6YfTgRKwiVaT5cfWx7YapcOtj20tQyvHEYXHq7pWMXLpCLwWHcnzC/pvw2hDlvnjupvXkdqXCrWa2fLwFmP8fnW5YlpqmraWCuBl+yntBVvm9G3sIzE5YWxrqjFVkCVSqAap0PVty71e6PgN8i+gNVyipxGjVsxjnutBz5nyhTQC26L1R8aru5FxP55XyPjxADr0fFRNJOSeeoSdIIpAsbbccRFFUvbbqA++e5CDRw7SuaKTpoamLAnYRGuQjXuQFMXhsjQ1gyg87n+6XyccegotfX5O/91/ZH+Omen80+eH2sgPPDOgl5UMbR16aYidT+2kt683kJeFeCq7PB9dMJrjid70YBMzps8oyIM7Ix37o5K+RfNo9PLRHC/8YsZvjn/BYca1LEfDMtJziEDNIqP1+T30XUnf9NweYDeR+2PopSG4AP1eNaPDv38Q7VOj0JF8XS/9EE3kaPBxyUGUjYpaPaq9Sa1UZa2YMhYX3giWs3T0zJx7DJYbUWgNjbTpOd+zsSdzvhDE4Vu+e5NNSW2pY6A7PTedda83yKC/zN6+3tCyvNYvpbRYyeK5p2+TTUnV29erbr3t1ljWUVmRV2enVXO6eTxqqTeK7RIy1mzeKKxx+e9F54pOXY+gem7pGd/Q94xBvxVTYkrC2D63/e2ntmu63TF/DOOpPE1jdVZuv0fiv2OU0NPTo63eGshYfaVnp6tuxZSvfGvFVIMTRLGIQ3c+S52o9xRSB2C0UFl03qK4TS65xQcyboGSLxLto48+Gu4zcTbaT6TMOb+9yNdnPT09kfs0jLf5LLSi+peE9VVvX6/OC+7P/x3gqxOljqDrnSs6i4oKG1R/z/qewJzT1UKUfrBWTBMcUdY5i10LDXq+/dR2Fr1t0bhFzxAsetsiHnnokcCygtbNS23x0X5Ku872ZlqnnkVOuUG5vkeSI3oN+gL08oLjkZ1+OM2dt90JUFKPZBf5+izVmIrcp0FRf5ddu4yWYz2WXoaYXqY+COsrU/+u6lrF6GWjOuyJdy1fZUet9T67qmtVaFTfsNhLd9525/ge292QnpJm/dr1sTyy/eVPenUS6Slp5L7iPbxL5cVeNSupKLNIrR4TTYOI7RlagHQe9fkoiY4iSbIFaDmmuhqmNwTa/HvLffTRR8P9QwJoKqede76yN2/eHLnuLLt+n4aQ5Vke0WcjjFf58pN4PamRyvCyFKjF/BtR3hmrQVgwJTEFeoEvAhucPAkOXAnuwEsHMpJ+8ltJ3nbG21jVtSqSFFNojBy/pHTdp64LlHjCJOYVK1cwaeokRIRJUyfxhvlvyPx2fTBMMY7Wr12PjEh2joFFwC5trePSNTQ0FGzd08B4jCXnnJqkdHs+HdyeOHwx8T6I56A1lmeffTZjjZavT5qmN8GX0T4cPg1h+MJhpjdP15ZYDUT3CwmI/WXiR6Cl0szxsouRhksdV6rYukz3ZGJ5dSzlwMgB7aNRpNRfNSupKLNIrR4TSYPIytxmWDs2epvORIflMHiZljI+kDHmkydDl1/iieqJa6KdmSjOjrhebvCwvemWm8y88qw5u3VknQvY4wjTeoqRIL3Pulnw8j2bFacrREPIaFwR9lmC2hAWp8rdF8hk7/PtCxSqQVZK8wjap4qirWdpaQHe94VoynYPwiIUWZnbDGvHRm/Ti4F+crJnlXrt0iQRhmXoiuyJa6Cdi4Enzevg/rXs5PZkzvNjM8bY8vCW8Qiwrk/DucAZnjr+y3cuwMs2TIIrRlKOGhXVi6xMaQFZ9Vpmt4z7jZzLeO6Oe+DIwSNZmQMzGunLBzJRetMPp5HDojMZ3kCOxtV+Svv4voATOXeqTCUlKZZevVRrgo1SkDScj5+l0C5WrFzB9p9uD82bEkZPZi/L5NMRsZ0mVCsSsJ0g6gRZmdtMntRB3qYBNual9PAM89gNsguP5IkbYh9Pm/Z/8PsHeDPUGfNPpDS9bv2SEJ3ZbL6vjsO+cwvJawvvR5DncP/T/YHPuCjEMzeLf+8k13fgXnh136vjdM1HZ3N7L9AAY+8bzxx4defVXPOxa3ReByf7X2pWit27d7Of/dp72ck/kskUuFl7ondc2cGuF3axYMECetf3Mjw2rJ9xPNPHzhrLyccQxWcgjCfFZPtzsWLlCtZ+fa0WBvLkTQmjhz2Gc7so2jeiGtkA7QT9mpsNAAAgAElEQVRRJ8isQc4g2KvUdD6CF2jJaPPVkZ6bjiXx5HjiBtDuSsdB6+CulGekazia1Rczfeem6+x4sdoTkrsjHwpZc87i33z0Hsz9aC3Jk/c5hy6DRdNIciQnbtLwhcOMqbFc72VX4zozN7/2dZ+6jpHhkexnFul7k9/Kn9EvkCee3OaJyYnAPa9l1y6LPElkNLBGAjWwgsaOs79Vj1nq7ARRJ+ju6qbh2w1asvXnW/42cBhz3KV2CpLW4tJm8iJdfePqWBJPjieugXbuA16nyw+KS2XMNuc8n3glkdcDNvVAiobRhtz2fClee0YP5npGh+UL9yKLrog5knP414yWhN9CVt7nnBhFJq00wJs8UKs7DCzMlrCHhoYY3Dto9nheCGOHxmJJwxmeGHKbD+4d1N70PrpGD45G1iTyaWBRvKeDxk7v+t76zFIXZaOiVo+JtEmtlNIeqMvI8aRmqi8ngeOFixAaY7+UdJfCi7S3r3fc6zeFIolKppLa09b1BCZe/gU/XabQ2Sbaw3JQRG1rkAdw1PwQbj09PT0F5c6g0dnoz+NVn2xK5vIxwJucyQHnU/oZN78DOPkgpjJuVBHgKR2ERectyvS5+zc9Nx3oec3UXF67OT2i8NzlQ8Y81+NpbuJ/b1+vzreRGqfN9civRl4I60k9wSeIMC/nWk5OEgVGS6gQi6WgZ/JZtUShO6zcOHWWyuqmmORMhWbjYwqK6blWTokpiRzrJ6ajrb18VmMZj+QUuc/k6dsci7ZlTtlzMFuUXUquH0wzOmFRRMsh1wosigd4Lfpy2Aligk8QYVnT/Ci3FFNqfgfGgJocLnXHbWcUusM0k7hZ40rRD8WmHI1Sf5bmMdn5sBriQmWk5iQZyTljxunLwJeJ1zULxTSPdD+ZnBhNfgTGWWrErN0EaTwxNAiXDz039SjQiY6mzpxq5F2UuGjF9EchKMcEManSS1oWhaO7q5vln1iuN+PagAFnbfzm1Vn3uRYdBy44AFdA/4ATkRVqdg104JkBbRnjhbu2vQP6XzFb/nRc2VHyNgXRMnCXs74edq0C9MVBlPr7Nvax4Z4NOrqrM664DzgRvXcxCmPdY1nl+Mch96FDa4RZ9bzXuc8bJj2Id2HRgxejLcouY7z+3QH3OxFhu2+Otue25vY1bNu2jd6+XpZ/Yjn7L9ivLc9879DAMwM6yuuj6E16h47Bewbp29hn5Hk9vpd2k7qO8Pjjj3No7yHYAHwRpt431WgVUYvZrfw26itWrsj6HZQRjlb0xySF0VvVZPNerD18y7Et2hv584zb+TsWLPUY9z8fP4x+LCG2+4H3B1nSNaP9JjagN2591428C8sBMR395XJ9OO6HxJREoMVYIZZD+d6hTOZBfx6Ly3Jjf0UtsxZhNYg6QcZG+31kpJX9m/fz+OOP5wz+vBJwhZEjOW3r121ZQkaSavh2A6kHUtq00iuVnob+QF8Bqk3RP9DPNR+7BnVEaWcvnyQGFCWl9W3sY+/wXriIcTruhQbVQPfa7uzyPVpcVAm10ogitQZqb17bfU/7Au8/hLaiWsK4tP9tYBh9v4efjAHTg3m36J2L2Lp563hZA07ZLehxcT7jWsgojN0wRtODTTn9su6OwsxK871D3V3dLO1YaraiC3jPau29jAKrQdQJsrxkPXl5131tXc69xUq5pY53kyM5PQmcybgEuAVGzhhhWmpaxmM3E0vpWYwxhfzeqq4kli/66I5f7AhtlzFv8hth5OAIS69eytKOpSRGE6S/lz8uUhSUO7ZQED+8/gFhsanS30szZdKULA/r0Ex1+8lEwWUI5JDoj6I/69t3w/0CHnnokezowZuAfZB8JaknBq8T40Bx2fxMyPcOdVzZQXquObtj0HtWj9qnnSDqBEGe0qMHouWijur7UAqPVD9yPE5fRmsFbg7ixfr34B8G2XDHBpqOadLnXk+g57jJW3XgmYFA71bX63q4eTi0XTnP7wC2o9OQOp7A+/5sH3uH93LXXXcVZdteDl77EcQPr39A0Hjp/EgnB8cOMnjeYBZ9p8w7Jdc/ZTNaK/gg8NfAMpCkoEaUsX45Inl598hDj6AOORumzt8Nd2yg6TfmsV1KT+Mo79DqG1fHes/qMeucnSDqBEH5fpNNuV65xcRtKXad1B+NdcXKFbmS02SMOYiTU5I5tIdFB/WfC9sjyHhdN4a3K+f5xzDmPh6+cLjoteNyrkm7momapAL3dty6gsbLloe3GOnb+tjWHA2QM517PJFL1QwV2H+FSs2VikkUpZ64tFQrnlIxsBNEnSDHS9aR2pZ/aLnx/kKlqUJiALlw90lGLx/N5Dxe+/W1nDLvlGzJKcBCxfUw9tK+4Y4Nkb1Vu7u6A6W0fF7XLnKe30WgV3Gx8ayK4XUYvJoJ7yHX896TJ9qtyzReAmMNOV7TrAT+zvm70Dm/lfHgfSmD13YJpOZKxSSKUk9cWqoRT6kYVGWCEJFPiMgvReQXInK3iEwWkZNE5D9E5Lci8g0RSVWDtlrFmtvX0PnBTr1G7+R56PxgJ2tuX1PSeopZJw3aJ9n2+LZIWkH7Ke05ZZqkrjtvu5P1a9cbJTH3fm+WsSmJKaTnRFsvNmowMynL2nG51qSzNJMz0FFbvTGZXDPTAW2xFbQHErjXEBYjy2v9tBekUbKiwZZSaq5kboiJiopPECJyPPBx4Cyl1OnoT8kV6BQ4NyulTkVbNX+40rTVOtbcvoYj+4+glOLI/iMlnxyguHXSsH2SfFpBWB0mqSufJHbwyEFYBvw1DL57kFf3vUrqgZSWcvPU6ae1YbQhRwpPPZAqeu24XGvSOZL/fHTEWhjf23kWGr7dwN7hvYF7IN1d3TkRbLkPeCPGGFOuVsIutCZxANT7VSZeUtMx43sFxaIS+zcWVN6TGjgeeA5tsDYJ+A7wbvSwmuTc8zbge/nKmmie1JVCFG9PE93GmD7LtBduIXUUikCP89lpdettt8auMyjmTikQhQ+bN2+Oxav07LT2LHZjEi3R3uiZmFYpzYtMbK8Qr/D07LT2fPaW1eWE1Wg0nF/meFg3oHpu7sm+HsOjOR/ierTHwT+t+6esGFCLzlsUu4xqxGMqhye16HsrCxG5DugGDgIPAdcBP1ZKneJcPxF4UGkNw//scmA5wHHHHbdg06ZNAOzbt4/m5ubKNKCEOJroHhgY4OXBl3U8/RTa/n03HJM+hra2ypnybd++HeagE+24UMCL8NrXvrau+D00NMSRI0d47sBzGZ4mXknQfmI7LS0txvt3PrcTNUON98EetIVRC1lljB0ZC+TTggULxssb2IlC6aU2b5kKJCG5dU0GDsIJbSfw/OHnx89P03/dsotBWB8XU/5Tv32KGTNm8PyB57PG8LTmaZx26mmRyhgaGqL/uX7GZoxF6rNSIc635JxzztmulDor741RZpFSHujPx78Bx6Az494LXAU87bnnRGBHvrImugbhlVJcibAUEkuY9JMvwmhYFNRKIUy6jMvv3r7eTHRSV/IulzRoqis9O62Dxxmip3o1mUx021RATKJZZs0uihTu16C8fPCOFRrJiqCaiYrqoSGKhJ8TlZjc6MRRaY8LGjHzu5G89LrvS3p2fs2sHDhaYjGdCzyrlHoZQET+BXg7MFNEJimljgAnAL+rAm11gywP2dNh8N8GtSmmIW5MweWGeSnPIbPu661nze1ryrI3EgdBMaviejv3bezjmo9dk+XdPXjvIFd3Xg2UNn5OUF0cIjc8RRswAoPnDXLNx67h8ccfZ8M9G3R7nyay34hrYZSPT/niObnXMt7++wNo2A3dXw7vA//4Gx3QOTVG54/qmFwJxwt/AXrfwxMHqSQe7YfRUr+f9sPR6O0f6Nf7NobcFLXsMR2EalgxDQBvFZEmERG0TcWv0GGvLnPuWYbufgsPvFYby65dNm6p8gNy7PQLtacPs80vJE9yoSjGQsVviZT+XprEaIKlHUvZ/t/baZ3TGqk8o1f1JTrbWjFtNvmKBNVFE7DXV4BrMeT4Y2TlIw/IhMZMxrOwfR74MkhDaS2MXEs7UmYa0nPTALQe35rJTe3vi8A4T24udjdP+SLn2ELG0/rAy+Me8wWjEb2s5KOdRvPtkfKx7wC+DGpM1Z21VcUnCKXUf6Dn2P9Gsy4BrEP7X35SRJ4G0sBXK01bLcNvtZFl1x/gbVyIPX2YbX657Pb9KIWFimuJdNddd7F3eC/7/mwffA5ogcGDWgvIV15YzuFC2xzkKxKUv5o9jFsK+S2GnHvyZUJLPZAicSgBjzDuvX4RqMkKLimthdGa29fQ+eFO7bPjsRhjM7zpDW/imo9dw+B5g7ovPpDbF4E8d8e4N6PdfKe9M8nkyC7Wmun1p74+J5c6m53zBuTNx/4Emu8XAZ8rnr5Koyp+EEqpv1NKvU4pdbpS6iql1GGl1P8opd6ilDpFKXW5UipAqZuYyJFUvJJihPy5USXyMNv8SsWSKaWHcY5k7nhFR9ECwnIOF9rmIF+RIKmbmTCpYVLG/4X7yQ6XPUBoLmrXb2TWrFm5uaQvRWufJdAE3fElCWHtV9dqj+ohsjyttz2+jeE3DI97YN8HHIGRV0cysaECee6Ocb8PxmPkeOW7saYK0T73H96vy/HGgJrmnDcgh15HWwBIfDMB38Wo3cfJlV1NWE/qOkGOpOKVFN9Bjp2+154+jkQeZptfSJ7kkrQVSq4RRdECuru6te+EV5q8FxpGGwpuc5CvCIcJrOvEE07U/hjTG7Q1UjNZ2sHyDy3P7rNmaGpoordvPA/y0O+HgiVz5/9CtaIsz+3PoqX5mcBUYAZ6rC502u6NwXUx2tD9Uq3FLP/Echaft9icW/11mHOsB2jPowdHC9I+B54Z0JPR3wBdzt+PBPMm653waQtj7xvTy1V5YmHVMuwEUSfIkVSciJbJbyWR+4T0lDTph80RRuNI5GHxYrzXeLG0XrGhbYUsTSXO/kQxWkDHlR3cedud417Zm4BXYHrz9LhNyiAsplZWXXdDekqa9WvX09LSQseVHXxk6UeQg5KJltr8nWbuvO1O1ty+Jm+Mn7CIrdwObAvmRxC/3fNLr15q3jc4xLhn9Ta09uZK+79CaxKvAg8C+/SY3PLwlvExdoMe3+wB/hP9dwjt6OdqIUGaVyuRtE9/21qObTHuQZh407exT79b7j6OV1tw2wdao9jhedAXC6umEcXUqVaPiWTmWkwO3KBc1lHy9BZLdyEoVU5ot6xUSyonT3LD9IZYjnKlyj/s5j32504OMwd+9NFHi6bBmHd6BjqXcwgNQfV2rugcPy8Yx1dPT08mZzrNnvuWoNOUemmZ6dAiZnPSSHR4y1pC3rFuKjPVklJfuvlLheXxJqR9Xl679BX5Dvphc1JP0Akixy7csQeP+nEo1uvU5G8R5AcRpYwozwXdX0hOaK8Nf8+XemL7MpTaazeur8ijjz5aEhoy4wjHL2JJdlnJpmQ0fvu9qN2PoY+2nlt6xvNIL2M8Z/Ux5vuZZfa699PvpdHfv4kpCU1fBD4F8fSW1bcYx563/mRTMreeWZ72uf4g4vmdIsfrvJS+EUeLH4RFDJjswr3x76OgGL+AQH+LAD+IKG2I4qcRZHsfJytXVr1OuxPJBKu/tDrWslipM4EV4itSChpcniaSCdRfKL0E4ylr9OCotgTy9E9OvTvIZPjLZHr7FnoP7BLPufuAt+lxdmDY4b+7bxaUu3o3jEpufhM//S5M/TvpgUmoJxQjrxnJO9aDeHpk5Ag7n9qZdTrIP4NjGTcYWIi2z9wPjJDlo8F96KWrxc45Q6a+WoTdg6hxlMKip2T5Ibz+FjH8IPJleYvj7xDHkspU79iMsdjrvmF15lufj9qusPuHhob0Zu4X0Runt5DJk90yO1roBm/5icmJyOv2xvwY/lwel6M3zx3LqeS3kvAKpEZSetyd0q7LcC2sgvJNTzNH9A2CqX+HLxxmevP0SGM9qF9TjbmBpEPzdrv+JfeCjEj2XosvZ3c5otqWE3aCqHGUyqKnJPkhCvS3yJflLY6/Q5wIqMZ6U/F5F1Tn4vMWG+lfsXJFrHaFWZn1bezTsZCmqExGOy4GHga+Ca/uezXS5JPlQ7NgNDe3iNe3AjL9asyPYZL+941bTh3ZfwQ1pph/+nw6ruzILuP1wB+RW/+90CDxrMOCxtXQ74cijfWgfj1+7vGR68pErnUss9QHVGC+E4ZLH9W23LATRI2j2nlss+qP4G8BBsuQ2S1myx03y1sM7SiONmTk3XB83sXKuPbaA6z96loOvHxAf3RvAb4OB0YOcN2nrjOWn897XaHMPgyNMHJpfn+OnPIXAWc6FnDdoqVaQ57ntpPbImf4S0xOBPZDDv9+307nBzuNFltxPprFWrsF9aspoF6gFViKXG1hFsEaWhmjD5QDdoKocVQ7j21W/V5/iwA/CJM0nMnFUGCWNz+iakMm3iVeSRTEu0gZ17zr866dfwL9cb8IBvcOGqX9vN7ro5gl0lcoXINbCGOHxsbzcwTkefa3fcMdG4z+GsmG3NS3Xvj5t+b2Nex6YZfeDD2s2PXirtgSddi7EdX3p5ix1PRgk9nPYSHmPBoe7/dSRx8oF+wEUeOodh7brPo9/hZBfhAmaXjk0hGmpabltCGzNu1FCbUjE+/aT2wvinc5a/nbnAs70HbwfmnyEjLeylyGUXLM670umCXSRiLxK5+kHTbG/FI4wLTUNP0B/CKwARAYOaO4+FSFIIzuYvfuTO021WUcw9MhPS2tfTkCvN9bZgdn8qspRDF1qtVjopi51iKC6I7jc1FK/4Ji6Y4Co+17M4rXOqaeAf4ASOF86O3r1f4EJr8BovGrUD4HPQcGO3+n/V5Uc2wX4/uzefPmyPzKx9sgX4uG6Q0lH/flMHO1GoRFZHilqid+/gStc1pJJBO0Ht+a+T/IQsYk5VZbO4oLoyXLEmAnWnMIiqTaOv5/XD50XNnBpIZJWvp0vYe3oL3om5KR+BWFz+eefy4yWXSU1cnCueefGyiFB1npJKeELzNB8Xmkozzft7Ev1jj044XfvVCSyANB16elpjFy6UhJYo2VG9YPwiIS/HbgR6YfYfDgIFwMg9MH9d7ExTC6y7GQWUIkn4t8uQZqCUF28xmrFdfO32v/fi/wJ+S1ew/jw4knnEjTb5o4sDjbj2XdHdEn07Dyzz3/XLb+aGuWb8PWzVt1wL2w9vrOjx4M9mGAwvxh4j7v3jO6YLTgfBHDh4fNe0IBPidR8mV4ryeSiVjlVxNWg7CIhBxp0omKmllfd//3WcjUulYQB0Fr+YkpiWw7f0fST3wzQXpKGrkvmA9eibj1+FaaZzXn5EpoaWkpq6a19bGtuRFmz0T38Q1oG383lpC3vT4+5PNhiLovEKQlRHk+c483X4QT0ymIZ/76JjVMiqV9lNOXp9qwGoRFJPQ/3W+WJncZ/l8IY49rC5mjCSaP9NQDKY5wZNyT+PVAsz5/5213xvIwHxxwNLFLgenj2es2rd9UXk3LrxGYvKXvA16C1C997fXwofu2cOk8ijd4mJYQ5fmse1zT3VEY6x4LnBz89Y2OjZJ6IJWV3S9I+yhEKypVxsNKwGoQdYZi13ALRljUTMP/tSgNFQvTenLDaANjk8d0VNJvkLFamZaalveDbtzT8GllI8kRXvjdC0XR7c3VMGnqJCQh2WPH79ls8pa+GJLbk0xLTdNhrM9lfE8kYnujSM5hWkKU5wO1vMkJ4ztjqk/NVEarO5NV13Wfuq6svjzVhp0g6gR9G/toPb6VpR1L6d/Vj7q4sExrBeMw2ZnKDqOlyHeQsYV3/6+kn0al4bWbX3zeYvYf2a/j/38WeD86D8JCGHppKG9Zod657v97nDVxH6IKChl/gNn9MEN78vozry1656JIORbGDo3pdrWhJfOVwN8BfxGtvSZfAvkXYfF5i/PyxOjVbRhr3V3dNHy7AVajU6uuBjbB6AJzfghjJr8UDP5hkO6ubtpObqP/6X6WXbsMEeGqj16V5VsxuHfQnH86pi8PUJNmr3aCqAO4L3kmVeNF6Aze+ypn/ZBsSmZb0uwBjgDfhvTD6bxr7Ucb+jb28ZU7v6LzD/tj7myLpkGFZk9z/5+ZGxsoTgKojITs5nQ2SLqPPPQIi962aDyLWoC2WGxWwY4rO1h22TLkG5KxxlJvUmy4Z0OG9rDyo0reMknGJ+2L0BrSsbntBsye4cNa48iZWI8B9V4Vnn86Bj9clCLFbrlgJ4g6QGigsDzSSqmWpJZ/aDn8lPFsYDMBgc4Vnex6YRe7XtyV5Y1a7qWwqi21OVjVtQp1WAVGJY2iQZkkYr9W1jDakBMbKI4TWEYizxNH65GHHkEd0rbvvXf2RssqWIBn/5aHt6Der7TmsRJYpGm/7tPXMe+0efQ/3Y/8i0Ty6jZ5PuekmHXDkjxmbvfowdGcHN7shrHRMR0u5b/QgtFJwTz057COq0GXMsVuqWE3qesAgeaVu8hrXVGMWaEXbnjqdV9bp1NH3gSdH+w0hq0uZb0mlLv8KMikphxAv9iZC5Cem45Ehzfj38BdA7TMbuGQHGL/t/dDCtItaVZ/aXVObKA4ob/bTm6jf1v/+D6Dj9YgvwwvXW0nt9F9c3ZwubBrYQiiffB3gwwuG4QrQG1TyDcEdVjRfkp7ScrPLNtBVrvbT2nXWsIW555m4E3owIjeDfpjCe3v5h82F8SPMJprwezVahB1gLC0mWHSSqklkzW3r9GROpViwZkLAnMalFsiqgWJq+3ktvE8yb419dU3rs7c59d0VqxckRPCwZWId72wi3279+WNTxRnmae7qxv5L9ERVA20unGL/NpYmKReaGTgMNqZRVYwQfV+PTmYyg8LsR4YynwmRgm/u6tbx6FyNeNJzr0mbd31c/FpC6tvXF0wP8J4UguGHnaCqAMYlyLugXRjOnS9v1ShwuOi3PVWq11eZD4snn0Z+Ybw0as+muO05V1bXvv1tfTPLm6tOc4yT8eVHXopbCFZfgFsAbVPAVR0/TtoLLPQd2NAfwat17sh1jMOcp7yUw+kSDea87X79zXYjd6D8dHCLrQJ83wyeyil2m+rdkDOUESJx1Grx0SKxRQ3ZadSwSkVTaklo8KlIyzlaKlTdJay/FKOk3x9EkQnx0SjO4zXcdKWhvEr7Fq+9uW77uW1KW2t+1x6djpyf6Znp3VqTzeV55LxMZ0pY8l4us9kUzJ2etme9T25feakWC3knYmCQt5vPyqekxo4AbgePSf/F1rRWgO8B0hEqaCcx0SaIApBYHC5swsLEuYtr6evJ1ZC91IG4Sum/EqOk6CAcZngfRED+Pl5Hbf9YfeH0Rg3CJ2fBpfXhQS0CxpXTDUECbxUBy4Makcc9Pb1qptuuamiASRLhYpOEMB64CHg48DbgVOA04H3ArcBPwTeGaWSch21MkFEkbS8idXTc9OZe6LQXYx0kTfReoCkZqrTK232bOyJ/XwpUWj5lRwnxWgQYbwuRIMK4lcgjZMwSupuHVFocHkd5V4Tff5zQZoGsxwJ33At2ZSM3W+bN28u69gtFyo9QZwe+qBeqTslSiXlOmphgogiHTVMb1DMyJZ8Ui0p1dvXm5fuUkrjUUMgB4Z59oSzzny0IoZQrhVUcpwUo8F5+8rP62JCWUeisYlASd2tIwoNLq8LoddI11RHW/BrCThHM7m8Jp4G4aW73lDRcN9KqV/4z4nIySIy37k+rJR6uuDNj6ME+SxqVnWtYiQ5kpMycvjC4UhWN6W02Gk7uU079dyO9jK9HaNTV1CdQekma8HaohZhcuzq/GAn7b9vzwSQO/Cy7kv/pnDeJEIl6geXxuS3kuOhxEGLf18HvoKO6uo4ALYcqxPdqDEFX2Y8iF8IDYXQa/T9CXBKS89Na0fOM8kOiX6mDizot3iqpg9Ntf134iKyFZOI/C2a9Z8RkbvKR1J9IZ9FzcAzA9rruECrm1Ja7Cw+b3G2s9ti4KdkhToIq3P04Oi4tUVAylGLbJhSbXZ3ddN0TJMx7IWLLMsWH69LbfXScWUHY4fG9Jh4JzqDneuJvBjYig4nsRv2Du+l/+394x79jwBPhNNQCL2BYUgMTmmrb1ytHd4WMh7+YyU6aOTBsSyLp6s7r+aaj11TFa/lWvaYDkLgBCEiHxMRbwaQM5RSH1BKdQBnlJ+0+kA+6ajt5DZtV51HglqxcoUOpCY6oNqKlSsilR8HWx7ekhvWeYlz3kGYLXlyipZ4k99KBqYctciPKFqhV/vw8zpOsLeoEmtmnD1GYPiQxJTEuJfyr9BS+qv6b/p7wSbXfnqbv9PMwT0HWdqxNGusG+nxwtEWTO0OSl+b5V9xkg5+6Pe0zqeRl0rqrwX/nbgI0yB2A/8qIhc6vx8Ske+LyL8D3ys/afWBfNJRd1c3DaMNOoSCzzbbvWfFyhWs/fpaLVF+Tsd9Wfv1taxYuaKk0mI+bSQn2YrXVn2zDnjGZzV9iUkJurvieYxaaETVCl3tY8GCBQU5q8WRWDPjLCScxNihMf3/DrRW4WqiV8DBsYOhbXbp/ehHP8q+w/tQH1A5Y91IT0SntO6ublIPpPL7V8TU5ksp9deC/05chO1B9AIXAm8SkfuAnwAXAH+mlPp0MZWKyEwRuUdEnhSRX4vI20SkRUQeFpHfOn9nFVNHJTElMQXuBr6gA9f5HXHWr11Peko66x5vroB1X1tnlOzXfW1dSUMD59NGgpKtsAm9vrtonL6xGWM1LfnUEvwSaMuxLRXZy4kjsWb2IgL2mdJz0+NSuiEceFRJOGysm+iJOu47ruxgWmoa3M/4HkQCmO67MYI270XJ9wDrbA8v3x7Eyego938O/AVwCzClBPWuBv5VKfU69HLVr4HPAFuVUqei5ZPPlKCesiITZfXdg/DXwDI4eCRXkuq4soNdL+5CHdaWAbteyA6hMHpg1Lzmf94ajP0AACAASURBVGA083wxrvwu8mkjWRKOG875s+jQ3gt9haVqW/KpFZgk0L3De3VI6jJ7zsaVWDuu7GDDHRsCJfd8WkaU8ZBvrPvpiTPuh14a0l8pdw/ifHI04YbRhhxNI4z3pZT6a9pjOgBhexBfA/4G+H/AJ5VS1wJrgTtE5HOFVigi09FbYV+FjDXUHrRMssG5bQPa7qemkZEu9qE9QzbAgT0HuOrqq2KpoMkms9SWbMqfBD4O8kllQRKOkb7h2pZ8qgmvxrDs2mU5EujwhcNMb55eloQx3rqD9pLC+i1sjOTTMqKMh3KN9czemTdFqpNRzpv+dv3a9dx5252ReV8Oi7F6SBTkQrRJrOGCyBNKqTOc/3+qlDrTc+1ipdR9BVUo8iZgHXqb6wxgO3Ad8IJSaqbnvt1KqZxlJhFZDiwHOO644xZs2rQJgH379tHc3FwISQVj+/btWmXdi/6bAoaBPSAI89rm5UTi9GPfvn0MDQ3x8uDLekPNLWM3HJM+hra2yn2Eh4aG6H+un7EZYxk6Eq8kSM9KM7h7MOv8iU0nMmnSpLztqzWUe5zk8PBFYA7aMsiF0ucXLFgQqcyoNOfUvRc4QNa4SrySoP3E9qL6LWic+Ms10T0wMFDysW6ihz3AFEgcit9eL91R21oLiDO2zznnnO1KqbPy3hjkIAF8Efg+8CPg01GcKqIcwFnoVDP/2/m9Gp2mZI/vvt35yqq2o1z7qe2KaWYPTmbFiw0UJ7aOUuXzVA4q139+8+bNJamv0ij3OMnxGj7GPD7ixKWKSrPRY/ns4mJvBSGK53PQGIk71vMhLOZYKWIaRWlrJb2tg+quRiym6UBzlIKiHsBsYKfn99nAd4HfAHOcc3OA3+Qrq9oTROeKztAYMFE8Wwuhu9yxjqJgInibFoIcr+EljhdyEX0VleZSeljHhWlM3nTLTRUZk6VudyWjG8RFWN0V9aQWkaXAPqXUvoDrJ4vIO/KqKLkay++B50Tktc6pRejlpvuBZc65ZejtpbKjGBvnLQ9v0apyQPz5cq3R16M99URBzpq1YR28XOvO1bSSMY3JKJZupfAxqHS747x/pfacrvS7H2bFlAZ+KiJ3ishKEXmfiHxQRP6viHwf+EfgDwXW+zGgT0R+js7f9PfAPwDnichvgfOc32VFsTbOA88MaOsen4+DmyqyXNYJ9WhPPVFgtFT5TRMb7thQtBVaQXVXyErGOCbzWLqVyseg0u2O+v6Vw3O60u9+mB/EauDNaOv9Y9CS/puBF4CrlFJLlFK/LaRSpdTPlFJnKaXeqJS6RCm1Wyk1qJRapJQ61fk7VEjZcVDsbNx2cptehDsXre98Abgb5KCwfu36sn0I6tGeeqKgkpYqfukUqJqVjHFM5rF0K5UkXmnroKjvXzmk/Uq/+6F+EEqpUaXUw0qpLqXUnyul/lIp9U9KqaNCVC12Ns5ILs1onWgZNM1s4q71d5X1paxHe+qJhFL5rYQhSDoFyl63CaYxmXglUVC8pUIk8Urw3EXU968c0n7F3/0oGxW1ehS7SV2KzGfFWjMUumlaTiuKKGVP1E3qauS5MNEclFmtVFn7CkFcS7eo71+c97Rcmdn85Xau6MxbT7kyK9aMFVOtH8VOENYaKBdReVJrdEdFMXRXK1Oe/0MbllmtlnJzlMoaqNg8JsUKbYWWW+nvS0WtmFz4IroeVahHz8Zyw1pIBaPcvAkq/4XfvZBzX1DE1UrvQxVjpRP1/Qtad1eTVFad5eqfQss9Gr4vkyLc87SI3AOsV0r9qtwEVRpuCAELjYFnBuAK38k2GLjrqNh2Kgrl5k1Q+cOHhyPdx27o/nLl9qHcvYEDFxyAK6B/YHwfJOo7FeX96+7qHq+nDT1Z3Au8B/qnj9dZrv4pptx6/75ESRj0RuAp4J9F5McistyJp1SXqLeMTpWGtZAKRjG8iTLugspPNaYi3Zeem67ox6gQybqQ9y8rN8YX0B5T56ID9Th1Xvep6wqKPRUFhfZ738Y+Wo9vRUSQRqF1TmvdfW/yThBKqb1KqTuUUm8H/godK/FFEdkgIqeUncISoh4zOlUa1kIqGIXyJuq4Cyr/+LnHR7pv9Y2rS9ja/IhrpVPM++daKUlCdMTW+Z6Lr8Lg3kFjHpNSjN1C+r1vYx/XfOwaBs8b1Nn3PgCDBwe5uvPq+vre5NukQMsGFwHfRies/CRwHHoV9KkoGx3lOuJuUpfLqqAY1OJmr7ViCkYhVjLFWuFEsaqppGGFi3zt8tPdfmq74mzH6sq1vjo73vtnrHOWJ97VkvHySxWLSanoMcrc80G8iRqjrRCUY5M6yh7Eb4FHgRuVUj/0nL9HRN5Zysmq3LDr69FQ7+um5UQhvIkz7kzlb9u2rSR0lBqmvYGmB5vovtksWfc/3Q8vozfU3b2E+6D/lf6i6mQ32XlM5gOjMNY9VjIemfgdtgcTuE+0BwZeqZ/vTZQ9iA8qpT7snRxE5I8BlFIfLxtlZYBdX88Pu0dTelRj3BXSj+4zktB50SUhoc/GtdJJTknmZKLjYud8RJjqTM9Nl42/YXwM24MJ6nM3RlvdvGf5VAzgv6Ocq8YRd4mpFvwe/KilpZo4/KkluuOgGnQXO+7i0lxIfaZnmKmXgAp9R/x0I8GRj4tBqd9rl+585Yb5Z/T29apUSyqbnzNQDdMbVOeKzrJ8hyodzfVtIvIp4BgR+aTn6ELPl3WHo8EuuZzIZ5XilXp2/GJH7Uo9NYZKj7tCrItMz3Ax8GTpfD0yOa29GHDOF4Fy8TcfH8M0w44rO7jztjtJP5zOxGhLT0mzfu16tjy8pW58jcKWmFLoKEOTgGme41X0BnVdopIxW+oNYVYpfguU4eZhawEWA5Ucd4XEAAp6xs0/XYpooeW0kCsHf/PxMV97Oq7sYNcLu7Q0flix60Wdi76eojGHRXP9vlLq88BblVKf9xw3qQKjuB6tiLOe6L93aKjsQWsjI0wiypGmGmtX6qk0am09uZA9j8A189b8z0Ztf5CkD1SNf2G05+NjoZpLXe2FBq09Abc4fx9Au6ZkHVHWr8p9VDujnFLx1j+rmXUrCsLa4l9v7dnYU7FsZaVEqcdJJfa1ankPotgMZ7WYnc2NfVUu2spVbkWD9QELnL/vMh1RCi/3UQsTRBwbd9O9Pet7quqH4UdUu+6ejT1V9yEpBKUeJ5XwrSk0EGVcPwn3GdeHACHvs2Htj5LbuVq+Sb19vZk2ZqLhOnXfetutgTRHieIatf5S+7FU1A9CKbXd+fv98uguRwfi2Lgb782TdavSCLKvz7E/Pxxu8z5RUKu+NYX4SZTTxyPIZ+DAywcqzj+XltHLR7P8MQB4fXbsKy9PShF7ylRuLSPMimmHiPw86KgkkbWMOOuJhWTdqgZM67L+9dbUvpS1AKPO1pPLgGKzqyWnJIviXyH7P4EWW49hjH2Vrw1H8z5cmBXTnwEXAv/qHB3OsQW4p/yk1QfiWGYUknWr0giLl+O1FJl/+vwJPzmAjV1VbHa10YOjBfOv0NhOYRZbpthX+Z6rpRWAkiPfGhTweJRz1ThqYQ9CqXjriXGzblUaUdeEN2/eXPVYQIWgHOOk3HGRap3XQe330p1sSuo4TIZxlY9/QdcLzaoXNMbd2E1BYyTKu1HNGFlVySgH/Ax4h+f324GfRSm83EetTBDFoNbojpK9q7evV910y0015ZEeFbXG73yoV16b6KZZW0WVIitb54rOgrPq5bMiChoj+Z6rdqSGqmSUAz4M3C4iO0VkJ7AGuKbkqoxFbJQj3nyUNeVVXasYmzE2odZiq4WovK41XwwT3SyB5PZkLJ+BoHX/dV9bV3BWvUL9F/I9F0TrdZ+6LlaMq1pC3miuSlszneEkCRKl1CvlJ8siH9x488MXDmcsMQbv1fHmIb5VhYsoEToHnhnQfvZe1IDlztGIKLwupXVNqRBE99ihMcZGx+KVY7ByGj0wat5HiJhVr1ArorDnjLQ6uSoG3z0IV8DogM5Z0T+7+n0UBWFWTEudv58UkU8CHwE+7PltUWLEkQJXda3Sk4NXgroERpIjRUnyUaSrtpPbYNj34FFsuVNJ6dxfV8uxLXl5XYvWNWFjJA4/gzTaZJPZ+qk53cyqrlVV0aSMtG7DrOmUMMZVORG2xDTV+Tst4LAoIeJaZARaYuwp3qoiX1yb7q5uEq8kJoTlTiWzEJrq2ju8F9kjobyuReuaoDGy+LzFsfgZZCW1/EPLc86nHkhxeORw1TJGmmjNylXhosQxrsqJsFhM/+T8/bzpqByJtYtSSpZxpcB88ebLiY4rO2g/sX1CRMUtp3TuHz/Xfeq6nLqGLxxGRPJrdDXmixE0RvJFMvXzBDBqtGtuX5NzflpqGiOXjlRNkzLmzp5JwTGuagF5N6lF5CQRuUlE/kVE7nePShBXyyi1ZBlXCuzu6ib1QCpbWrkXGkYbKiLJt7S0TIiouOWSzk3jZ3DvoI6V7Ktr7MgY3V3doRpdLfpimMZInIjB7jsFGMeaX9Mdemmo6ppUTu7sReTkyeY+4HW10Uf5EMWK6V5gJ3Ab8CXPMaFRaskyrhQYFm++0I91rVnC1AKi9EvJvHkvQ69Z++oiSei4qnaek1LsKRgjBsd8p2pJk8rQMh89SWwBbgA2Aa9A++/rQ+uOMkEcUkrdqpR6VOkQ4N9XNj5TySXLQqTAoHjzhaCSa+31hHz9UnJv3t3kSpvT8o+rauU5idv+MH4W+07VkiaVRcvrgcXQdEwTvXf2osZU/Wjd+RwlgCuBvwPeBrzZPaI4WZT7qKajXKmiUHrprqYXZtz21JvDmYtSR0YtdBwEPZeYksjxDq5ExN9Cx16caK756irFO1WKd6hUY7vS73O1PKn/H/A88H3gUef4tyiFl/uo5gRRKq/JWvnQRvGg9qJW6I6LUtMdl28uwjyEK50zpJixHNb+SuSxKAcmwtiOOkFEWWK6FHiNUupdSqlznONPitVcRCQpIj8Vke84v08Skf8Qkd+KyDdExBxSsUYQdd13xcoV2ntStBflipUrqkRxOGpp/baeUCjfgsaPyTqn/cT2si5HFLP2X8pxE2cvpZb3y2qZttjIN4MA3wCOjTLbxDmATwIbge84v78JXOH8/xWgM18ZtR6LqXNFp44/45GIaEZ1rujM3FMrdMeV3mqF7riYCBnl4qJQLUip4jPKFYJy87wYuqupBVVLgzgOeFJEvlcqM1cROQF4D/DPzm8B/oTxMOIbgEuKqaMWsO5r62AJOfFo1n1tXXUJM6DaljD1iqOBb8VoAdVofy16jruoZdoKgejJJOQGkXeZzqsiLJlE5B703sY04HrgQ8CPlVKnONdPBB5USp1ueHY5sBzguOOOW7Bp0yYA9u3bR3Nzc6EklQXbt2+HOYB4TirgRViwYAFQm3RHgaW7cig3zUNDQ/Q/16+D66WAYZ2npP3EdlpaWgout1x0R3mvikExdJebtjDEofucc87ZrpQ6K++NUdSMUh7oRERrnP8XAt8BjgGe9txzIrAjX1m1vsQkKTHGq082JTP31CLdUWDprhwqQXO1cyTHQbnyWLs86OnpKZgH1cqxrVSVlphEZK+IvOoch0RkVET8/p5x8MfARU7o8E3opaVbgJki4kaXPQH4XRF1VB19G/t0QLGLgM8Ci4FHgE2w/EPLq0uchYUP1fKjKATl8Hfw+nMwh4L9gGrJF6MUyDtBKKWmKaWmO8dk9Kr6lwutUCn1N0qpE5RS89DBcf9NKdWBNp+9zLltGeNpxOsSq7pWceTiIznRVpubm1lz+5oqU2dhUXuIav1Tjn2PrL0DoeC9g6NhT8qLvPkg/FBK3SsinykDLX8NbBKRG4CfAl8tQx0VQ1Ac+/2791eFHguLWkbcnBaF5nMIQtD7WkiOk1LTVk1EWWJ6r+e4TET+Ab3tUjSUUtuUUn/m/P8/Sqm3KKVOUUpdrpQ6XIo6qoVy+xUcVbbWFhMe1bb+sX5AZkQxc73Qc7wb2ItOeWERgnKuRdq4SRZHG6qd0yLrfVXU/d5BqRBlD+Jqz3GtUqpbKfVSJYirZ5RzLbLa0paF1eBKjWpL8Fm5HF6k7vcOSoXAPQgRuY2QpSSl1MfLQtFRhHKtRZZyvdQiPmoxB3S9I0ou9HLDfV+3bdvGzqd2VqzeWkaYBvETYLtzXOT53z0sqoRKSFtWQg6G1eBKj6PN+udoQaAGoZTa4P4vIn/p/W1RXZRb2rIScjisBlceHE3WP0cLomxSQ4mslizCUU07cC+shByOaq+XW1hUClEnCIsyI65lUjk9X6ttUVLrONq8ZS0sghA4QXhDbABv9ITb2FtkqA0LA6JK7ZXYG7AScjjsernFREHYHsS0ShIy0RFlXbtSewO1YFFS67Dr5RYTAXaJqUYQRWqv1N6AlZAtLCzAThA1gyjr2pXcG6in6J4WFhblgZ0gagRRpHa7N2BhYVFJ2AmihpBParfWMxYWFpWEnSBKiHJbGNm9gdpBvXia1wudFrWJ2PkgLMyolIWRtZ6pPurF07xe6LSoXVgNokSw3scTB/XS1/VCp0Xtwk4QJYL1Pp44qJe+rhc6LWoXdoIoEayF0cRBvfR1vdBpUbuwE0SJYC2MJg7qpa/rhU6L2oXdpC4R3E2/VV2rGLhrgLaT2+i+udtuBh6FqJe+rhc6LWoXdoIoIayF0cRBvfR1vdBpUZuwS0wWFhYWFkbYCcLCwsLCwgg7QVhYWFhYGGEnCAsLCwsLI+wEYWFhYWFhhJ0gLCwsLCyMsBOEhYWFhYURdoKwsLCwsDDCThAWFhYWFkZUfIIQkRNF5FER+bWI/FJErnPOt4jIwyLyW+fvrErTZmFxNMImDbIoFNXQII4An1JK/S/grcBKEXk98Blgq1LqVGCr89vCwqIIuEmD+t/ej1ql6H+7ThpkJwmLKKj4BKGUelEp9d/O/3uBXwPHAxcDG5zbNgCXVJo2C4ujDTZpkEUxEKVU9SoXmQc8BpwODCilZnqu7VZK5SwzichyYDnAcccdt2DTpk0A7Nu3j+bm5gpQXVpYuiuLeqS7GJq3b98OcwDxnFTAi7BgwYJSkBeIeuQ1TAy6zznnnO1KqbPy3qiUqsoBNAPbgfc6v/f4ru/OV8aCBQuUi0cffVTVIyzdlUU90l0Mze2ntiuWoejyHMtQ7ae2l4y+INQjr5WaGHQDP1ERvtNVsWISkQZgM9CnlPoX5/QfRGSOc30O8FI1aLOwOJpgkwZZFINqWDEJ8FXg10qpmzyX7geWOf8vA+6rNG0WFkcbOq7sYN3N62j/YTvSLbT/sJ11N6+zOSIsIqEaCYP+GLgK2CEiP3PO/S3wD8A3ReTD6Ey6l1eBNguLow42aZBFoaj4BKGU+gHZW2ZeLKokLRYWFhYWwbCe1BYWFhYWRtgJwsLCwsLCCDtBWFhYWFgYYScICwsLCwsj7ARhYWFhYWGEnSAsLCwsLIywE4SFhYWFhRF2grCwqHPYfA8W5UI1PKktLCxKBDffw4ELDsAV0D+g8z0A1nvaomhYDcLCoo5h8z1YlBN2grCwqGMMPDMAbb6Tbc55C4siYScIC4s6RtvJbTq0pRcDznkLiyJhJwgLizqGzfdgUU7YTWoLizqGuxG9qmsVA3cN0HZyG903d9sNaouSwE4QFhZ1DpvvwaJcsEtMFhYWFhZG2AnCwsLCwsIIO0FYWFhYWBhhJwgLCwsLCyPsBGFhYWFhYYSdICwsLCwsjLAThIWFhYWFEXaCsLCwsLAwwk4QFhYWFhZG2AnCwsLCwsIIO0FYWFhYWBhhJwgLCwsLCyPsBGFhYWFhYYSdICwsLCwsjLAThIWFhYWFEXaCsLCwsLAwoqYmCBH5UxH5jYg8LSKfqTY9FhYWRzf6NvYx77R5JJIJ5p02j76NfTnnW49vpXVOK5IQkk1JRARpFFrntHLu+ecyaeokfW6yICL6d0KYd9o8VqxcwbzT5iEJ83l/vbWGmskoJyJJ4HbgPOB54L9E5H6l1K+qS5mFhcXRiL6NfSz/xHIOXHAAroD+gX6Wf2I5a29cS+enOzPnBwcG4ZvANBi7dAzagAEYvHeQrY9thbcAC/9/e/cfW1V5x3H8/bGMHx1TtAKilVoSnDNZplAZ6iRFjAPmQKfJiHVCFmNkk/0wxum6ZJhJMh2RuWWRNLpNNycKU2FOM3Wzm4aIWhR/gVqFYhUnmslscBrqd388zw23t6d1dO09z63fV9Lcc55z7j2f+3C5zz3POec5QCvwFHSf2w2ToaO1gxtvvRHOBRZB985uWA8dR8TyE+mxXSC5OwOmtAcxA2g3s1fN7ENgDbAw50zOuWGqeXlzaATqgSqgHvbO28vud3b3Kmc0cA49y84GqoFtsWwboTGo72O+nvCNVijf1nO7zcuby/PGD4DMLO8MAEg6D5hrZhfF+W8AXzSzS0vWuxi4GGDixInT16xZA0BXVxdjx44tb+hB4LnLqxJzV2JmSD93W1sbTAJUVGhQW1VLZ3dnz/I3yFyXXXH6yIx1+nvOpPh4ZM/y6dOnD/j9HEh9z549u83MGj5uvWS6mOhZjQW9Wi8zawFaABoaGqyxsRGA1tZWCtOVxHOXVyXmrsTMkH7uJRcvoeOUjvDLvmA7rPzCSi7fcnnP8huABfRalw2Eb9FvEzrI5xetUzpfeM59sfy++LxYXrexjh0v7Rjw+xmK+k6pi6kTOLpovpbQBjvn3KBbsXwF1fdXhy/tbmA7VN9fzfia8b3K+Q9wNz3L7gH2AsfFsuOAPxatUzq/HVhfVH5cz+2uWL6iPG/8AKTUQDwBTJVUL2kksIjQPjvn3KBrOr+JllUt1G2sQytE3cY6Wla1MHny5B7lNQ/WUHNIDbwHB915EPwEuB1qxtQwZ9YcqtqqQtnjQBdUra2Ca6DuzTqWXriUuo11cE0s31NU/mbP7aZ2gBoS6mIys32SLgX+Qjh082szez7nWM65Yazp/KZeX8ytra2Z5Z9EyTQQAGZ2H6FnzjnnXM5S6mJyzjmXEG8gnHPOZfIGwjnnXCZvIJxzzmVK5krqgZC0G+iIs4cDb+cYZ6A8d3lVYu5KzAyeu9wOJHedmY3/uJUquoEoJunJ/+XS8dR47vKqxNyVmBk8d7kNRW7vYnLOOZfJGwjnnHOZhlMD0ZJ3gAHy3OVVibkrMTN47nIb9NzD5hiEc865wTWc9iCcc84NIm8gnHPOZRoWDYSkZZJelPS8pOuKyq+S1B6XfTnPjH2RdLkkk3R4nJekX8Tcz0ialnfGYpJ+JmlbzHa3pHFFy5Ktb0lzY652SVfmnacvko6W9LCkrfHz/N1YfpikByW9HB8PzTtrKUlVkp6SdG+cr5e0KWa+Iw7jnxRJ4ySti5/prZJOrpC6/n78fDwn6XZJo4ekvs2sov+A2cBDwKg4PyE+Hg9sAUYR7un0ClCVd96S7EcThjfvAA6PZfOB+wl32JsJbMo7Z0nmM4ERcfpa4NrU65swfPwrwBRgZMx5fN65+sg6CZgWpz8DvBTr9jrgylh+ZaHeU/oDLgP+ANwb5+8EFsXp1cDSvDNmZL4FuChOjwTGpV7XwFGE2w+NKarnJUNR38NhD2Ip8FMz+wDAzN6K5QuBNWb2gZltB9qBGTll7Msq4Ap63lp1IXCrBY8B4yRNyiVdBjN7wMz2xdnHCHf+g7TrewbQbmavmtmHwBpC3uSY2S4z2xyn3wO2Er4QFhK+zIiPZ+eTMJukWuArwE1xXsDpwLq4SoqZDwZmATcDmNmHZvYuidd1NAIYI2kEUE24w/Wg1/dwaCCOBU6Lu1Z/l3RSLD8KeK1ovc5YlgRJC4DXzWxLyaKkc5f4JmFvB9LOnXK2Pkk6BjgR2ARMNLNdEBoRYEJ+yTL9nPBj56M4XwO8W/RjIsU6nwLsBn4Tu8ZukvRpEq9rM3sdWAnsJDQMe4A2hqC+k7phUF8kPQQckbGomfAeDiV0x5wE3ClpCqGLplRZz+n9mNw/JHTX9HpaRlkyuc1sfVynGdgH3FZ4Wsb6qZxDnXK2TJLGEu5c/D0z+3f4QZ4mSWcBb5lZm6TGQnHGqqnV+QhgGrDMzDZJuoHQpZS0eExkIaEr911gLTAvY9X/u74rooEwszP6WiZpKXCXhY63xyV9RBi0qpPQx19QC7wxpEFL9JVb0ucJ/7hb4n/8WmCzpBkknLtA0mLgLGBOrHdIIHc/Us7Wi6RPERqH28zsrlj8T0mTzGxX7HJ8q+9XKLtTgQWS5gOjgYMJexTjJI2Iv2pTrPNOoNPMNsX5dYQGIuW6BjgD2G5muwEk3QWcwhDU93DoYrqH0PeGpGMJB5reBjYAiySNklQPTCXcVjx3ZvasmU0ws2PM7BjCB3Wamb1JyH1hPJtpJrCnsLubAklzgR8AC8xsb9GiZOsbeAKYGs/yGAksIuRNTuy7vxnYambXFy3aACyO04uB9eXO1hczu8rMauNneRHwNzNrAh4GzourJZUZIP5/e03SZ2PRHOAFEq7raCcwU1J1/LwUcg9+fed9RH4QjuiPBH4PPAdsBk4vWtZMOHvlRWBe3ln7eQ872H8Wk4BfxdzPAg155yvJ2k7oz386/q2uhPomnB32UszXnHeefnJ+idA18ExRHc8n9On/FXg5Ph6Wd9Y+8jey/yymKYQfCe2EbpBReefLyHsC8GSs73sI3dXJ1zVwNbAtfu/9jnD24KDXtw+14ZxzLtNw6GJyzjk3BLyBcM45l8kbCOecc5m8gXDOOZfJGwjnnHOZvIFwLpLUdQDrNko6pWj+EkkXxuklko4cwPZ3KI7q61wKKuJKaucS1Ah0ARsBzGx10bIlhPPTU7ty2LkD4g2Ec/2Q9FXgR4QLMt8BmoAxwCVAt6QLgGWEq1m7CBc9NgC3SXofOJkwImuDmb0tqQFYaWaNkmqA24HxhAucVLTdC4DvxO1uAr5lZt1D/46d28+7mJzrEq+SVQAAAVJJREFU36PATDM7kTBM+BVmtoMw3v4qMzvBzB4prGxm6whX5jbFZe/389o/Bh6Nr70BmAwg6XPA14FTzewEoJvQMDlXVr4H4Vz/aoE74qBtIwk3ahkss4CvAZjZnyX9K5bPAaYDT8TBHMeQ3oBx7hPAGwjn+vdL4Hoz2xCHsl4+gNfYx/699dEly7LGuhFwi5ldNYBtOTdovIvJuf4dArwepxcXlb9HuCVoltJlOwh7BADnFpX/g9h1JGkeYaA4CAPEnSdpQlx2mKS6AeZ3bsC8gXBuv2pJnUV/lxH2GNZKeoQwjHzBn4BzJD0t6bSS1/ktsDouG0MYefOG+BrFB5qvBmZJ2ky4edROADN7gXBg/AFJzwAPEu5V7VxZ+WiuzjnnMvkehHPOuUzeQDjnnMvkDYRzzrlM3kA455zL5A2Ec865TN5AOOecy+QNhHPOuUz/BQ7ARBvW8KBAAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build Scatter Plot for Each Data Type\n",
    "plt.scatter(weather_data[\"Latitude\"], weather_data[\"Humidity\"], facecolors=\"green\", marker=\"o\", edgecolor=\"black\")\n",
    "# Incorporate Other Graph Properties\n",
    "plt.title(\"City Latitude vs. Humidity (02/01/2019)\")\n",
    "plt.ylabel(\"Humidity (%)\")\n",
    "plt.xlabel(\"Latitude\")\n",
    "plt.grid(True)\n",
    "\n",
    "# Save Figure\n",
    "plt.savefig(\"./Data/City_Latitude_vs_Humidity.png\")\n",
    "\n",
    "# Show Plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Cloudiness Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build Scatter Plot for Each Data Type\n",
    "plt.scatter(weather_data[\"Latitude\"], weather_data[\"Cloudiness\"], facecolors=\"blue\", marker=\"o\", edgecolor=\"black\")\n",
    "\n",
    "# Incorporate Other Graph Properties\n",
    "plt.title(\"City Latitude vs. Cloudiness (02/01/2019)\")\n",
    "plt.ylabel(\"Cloudiness (%)\")\n",
    "plt.xlabel(\"Latitude\")\n",
    "plt.grid(True)\n",
    "\n",
    "# Save Figure\n",
    "plt.savefig(\"./Data/City_Latitude_vs_Cloudiness.png\")\n",
    "\n",
    "# Show Plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Wind Speed Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Build Scatter Plot for Each Data Type\n",
    "plt.scatter(weather_data[\"Latitude\"], weather_data[\"Wind Speed\"], facecolors=\"yellow\", marker=\"o\", edgecolor=\"black\")\n",
    "\n",
    "# Incorporate Other Graph Properties\n",
    "plt.title(\"City Latitude vs. Wind Speed (02/01/2019)\")\n",
    "plt.ylabel(\"Wind Speed (mph)\")\n",
    "plt.xlabel(\"Latitude\")\n",
    "plt.grid(True)\n",
    "\n",
    "# Save Figure\n",
    "plt.savefig(\"./Data/City_Latitude_vs_Wind_Speed.png\")\n",
    "\n",
    "# Show Plot\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "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": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}