Shaena_WeatherPy.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# WeatherPy\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."
   ]
  },
  {
   "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",
    "from pprint import pprint\n",
    "\n",
    "# Import API key\n",
    "from api_keys import api_key\n",
    "\n",
    "# Incorporated citipy to determine city based on latitude and longitude\n",
    "from citipy import citipy\n",
    "\n",
    "# Output File (CSV)\n",
    "output_data_file = \"output_data/cities.csv\"\n",
    "\n",
    "# Range of latitudes and longitudes\n",
    "lat_range = (-90, 90)\n",
    "lng_range = (-180, 180)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate Cities List"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the sample includes 500 cities\n"
     ]
    }
   ],
   "source": [
    "# List for holding lat_lngs and cities\n",
    "lat_lngs = []\n",
    "cities = []\n",
    "# Set desired number of cities\n",
    "num_cities = 500\n",
    "# Set random seed to generate the same random lat and lng combinations\n",
    "SEED = 50\n",
    "# Set seed\n",
    "np.random.seed(SEED)\n",
    "# Create a set of random lat and lng combinations\n",
    "lats = np.random.uniform(low=-90.000, high=90.000, size=num_cities*10)\n",
    "lngs = np.random.uniform(low=-180.000, high=180.000, size=num_cities*10)\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 our cities list\n",
    "    if city not in cities:\n",
    "        cities.append(city)\n",
    "    \n",
    "    if len(cities) >= num_cities:\n",
    "        print(f\"the sample includes {len(cities)} cities\")\n",
    "        break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#building url to access api data\n",
    "url = \"http://api.openweathermap.org/data/2.5/weather?\"\n",
    "units = \"imperial\"\n",
    "\n",
    "query_url = f\"{url}appid={api_key}&units={units}&q=\""
   ]
  },
  {
   "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": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Beginning Data Retrieval\n",
      "Processing Record of | hithadhoo\n",
      "Processing Record of | new norfolk\n",
      "Processing Record of | mahebourg\n",
      "Processing Record of | kachikau\n",
      "City not found\n",
      "Processing Record of | isangel\n",
      "Processing Record of | dikson\n",
      "Processing Record of | tete\n",
      "Processing Record of | sitka\n",
      "Processing Record of | nikolskoye\n",
      "Processing Record of | taolanaro\n",
      "City not found\n",
      "Processing Record of | jamestown\n",
      "Processing Record of | diego de almagro\n",
      "Processing Record of | cape town\n",
      "Processing Record of | amderma\n",
      "City not found\n",
      "Processing Record of | ostrovnoy\n",
      "Processing Record of | praia\n",
      "Processing Record of | ahipara\n",
      "Processing Record of | komsomolskiy\n",
      "Processing Record of | torbay\n",
      "Processing Record of | karratha\n",
      "Processing Record of | hobyo\n",
      "Processing Record of | mumford\n",
      "Processing Record of | illoqqortoormiut\n",
      "City not found\n",
      "Processing Record of | kattivakkam\n",
      "Processing Record of | ormond beach\n",
      "Processing Record of | ushuaia\n",
      "Processing Record of | griffith\n",
      "Processing Record of | busselton\n",
      "Processing Record of | punta arenas\n",
      "Processing Record of | sentyabrskiy\n",
      "City not found\n",
      "Processing Record of | bethel\n",
      "Processing Record of | jacareacanga\n",
      "Processing Record of | yellowknife\n",
      "Processing Record of | pisco\n",
      "Processing Record of | half moon bay\n",
      "Processing Record of | guerrero negro\n",
      "Processing Record of | butaritari\n",
      "Processing Record of | rikitea\n",
      "Processing Record of | havelock\n",
      "Processing Record of | cherskiy\n",
      "Processing Record of | vermilion\n",
      "Processing Record of | puerto ayora\n",
      "Processing Record of | chokurdakh\n",
      "Processing Record of | petropavlovka\n",
      "Processing Record of | at-bashi\n",
      "Processing Record of | albany\n",
      "Processing Record of | ibatiba\n",
      "Processing Record of | ponta do sol\n",
      "Processing Record of | kandrian\n",
      "Processing Record of | gornopravdinsk\n",
      "Processing Record of | castro\n",
      "Processing Record of | kapaa\n",
      "Processing Record of | atuona\n",
      "Processing Record of | mataura\n",
      "Processing Record of | port elizabeth\n",
      "Processing Record of | cabo san lucas\n",
      "Processing Record of | labutta\n",
      "City not found\n",
      "Processing Record of | bintulu\n",
      "Processing Record of | talnakh\n",
      "Processing Record of | umzimvubu\n",
      "City not found\n",
      "Processing Record of | longyearbyen\n",
      "Processing Record of | avarua\n",
      "Processing Record of | ribeira grande\n",
      "Processing Record of | the pas\n",
      "Processing Record of | andra\n",
      "Processing Record of | antsohihy\n",
      "Processing Record of | quang ngai\n",
      "Processing Record of | quelimane\n",
      "Processing Record of | port alfred\n",
      "Processing Record of | pangnirtung\n",
      "Processing Record of | nanortalik\n",
      "Processing Record of | ascoli piceno\n",
      "Processing Record of | vestmannaeyjar\n",
      "Processing Record of | innisfail\n",
      "Processing Record of | otradnoye\n",
      "Processing Record of | kavaratti\n",
      "Processing Record of | katsuura\n",
      "Processing Record of | port antonio\n",
      "Processing Record of | namibe\n",
      "Processing Record of | hat yai\n",
      "Processing Record of | barabai\n",
      "Processing Record of | tutoia\n",
      "Processing Record of | khatanga\n",
      "Processing Record of | kruisfontein\n",
      "Processing Record of | georgetown\n",
      "Processing Record of | andilamena\n",
      "Processing Record of | mugumu\n",
      "Processing Record of | hilo\n",
      "Processing Record of | souillac\n",
      "Processing Record of | hobart\n",
      "Processing Record of | leningradskiy\n",
      "Processing Record of | rudsar\n",
      "Processing Record of | constitucion\n",
      "Processing Record of | concepcion del oro\n",
      "Processing Record of | takoradi\n",
      "Processing Record of | east london\n",
      "Processing Record of | tommot\n",
      "Processing Record of | vaini\n",
      "Processing Record of | sokolo\n",
      "Processing Record of | hermanus\n",
      "Processing Record of | aksarka\n",
      "Processing Record of | belushya guba\n",
      "City not found\n",
      "Processing Record of | christchurch\n",
      "Processing Record of | huarmey\n",
      "Processing Record of | attawapiskat\n",
      "City not found\n",
      "Processing Record of | faanui\n",
      "Processing Record of | nizhneyansk\n",
      "City not found\n",
      "Processing Record of | catuday\n",
      "Processing Record of | santa lucia\n",
      "Processing Record of | cidreira\n",
      "Processing Record of | kaoma\n",
      "Processing Record of | codrington\n",
      "Processing Record of | stepnyak\n",
      "Processing Record of | saint-pierre\n",
      "Processing Record of | buchach\n",
      "Processing Record of | sarahan\n",
      "Processing Record of | aklavik\n",
      "Processing Record of | mar del plata\n",
      "Processing Record of | otaki\n",
      "Processing Record of | rio grande\n",
      "Processing Record of | tabiauea\n",
      "City not found\n",
      "Processing Record of | kaitangata\n",
      "Processing Record of | arys\n",
      "Processing Record of | porto novo\n",
      "Processing Record of | xuddur\n",
      "Processing Record of | riverton\n",
      "Processing Record of | dawson creek\n",
      "Processing Record of | jinchang\n",
      "Processing Record of | khash\n",
      "Processing Record of | baherden\n",
      "Processing Record of | marihatag\n",
      "Processing Record of | praia da vitoria\n",
      "Processing Record of | mys shmidta\n",
      "City not found\n",
      "Processing Record of | saint-philippe\n",
      "Processing Record of | plettenberg bay\n",
      "Processing Record of | victoria\n",
      "Processing Record of | ballina\n",
      "Processing Record of | barentsburg\n",
      "City not found\n",
      "Processing Record of | olafsvik\n",
      "City not found\n",
      "Processing Record of | port hedland\n",
      "Processing Record of | kashima\n",
      "Processing Record of | namatanai\n",
      "Processing Record of | kodiak\n",
      "Processing Record of | soe\n",
      "Processing Record of | kempsey\n",
      "Processing Record of | brive-la-gaillarde\n",
      "Processing Record of | balikpapan\n",
      "Processing Record of | sao filipe\n",
      "Processing Record of | saint-joseph\n",
      "Processing Record of | margate\n",
      "Processing Record of | octeville\n",
      "Processing Record of | mbandaka\n",
      "Processing Record of | sambava\n",
      "Processing Record of | arraial do cabo\n",
      "Processing Record of | qujing\n",
      "Processing Record of | gorontalo\n",
      "Processing Record of | grand river south east\n",
      "City not found\n",
      "Processing Record of | acari\n",
      "Processing Record of | buchanan\n",
      "Processing Record of | mackenzie\n",
      "Processing Record of | dudinka\n",
      "Processing Record of | vaitupu\n",
      "City not found\n",
      "Processing Record of | baiyin\n",
      "Processing Record of | taltal\n",
      "Processing Record of | kinablangan\n",
      "Processing Record of | upernavik\n",
      "Processing Record of | loule\n",
      "Processing Record of | anadyr\n",
      "Processing Record of | lepley\n",
      "Processing Record of | casper\n",
      "Processing Record of | bredasdorp\n",
      "Processing Record of | gladstone\n",
      "Processing Record of | vila velha\n",
      "Processing Record of | barrow\n",
      "Processing Record of | schkeuditz\n",
      "Processing Record of | padang\n",
      "Processing Record of | dwarka\n",
      "Processing Record of | geraldton\n",
      "Processing Record of | faya\n",
      "Processing Record of | tuggurt\n",
      "City not found\n",
      "Processing Record of | lake city\n",
      "Processing Record of | takhli\n",
      "Processing Record of | myitkyina\n",
      "Processing Record of | dieppe\n",
      "Processing Record of | adrar\n",
      "Processing Record of | dickinson\n",
      "Processing Record of | thompson\n",
      "Processing Record of | maragogi\n",
      "Processing Record of | laishevo\n",
      "Processing Record of | saint-denis\n",
      "Processing Record of | princeton\n",
      "Processing Record of | korla\n",
      "City not found\n",
      "Processing Record of | teya\n",
      "Processing Record of | lata\n",
      "Processing Record of | saskylakh\n",
      "Processing Record of | carnarvon\n",
      "Processing Record of | acajutla\n",
      "Processing Record of | port moresby\n",
      "Processing Record of | lompoc\n",
      "Processing Record of | trincomalee\n",
      "Processing Record of | yumen\n",
      "Processing Record of | arman\n",
      "Processing Record of | pyaozerskiy\n",
      "Processing Record of | tasiilaq\n",
      "Processing Record of | te anau\n",
      "Processing Record of | narsaq\n",
      "Processing Record of | finschhafen\n",
      "Processing Record of | nishihara\n",
      "Processing Record of | perth\n",
      "Processing Record of | hay river\n",
      "Processing Record of | ilulissat\n",
      "Processing Record of | vostok\n",
      "Processing Record of | stege\n",
      "Processing Record of | mago\n",
      "Processing Record of | wyndham\n",
      "Processing Record of | kavieng\n",
      "Processing Record of | lulea\n",
      "Processing Record of | lebu\n",
      "Processing Record of | iralaya\n",
      "Processing Record of | luderitz\n",
      "Processing Record of | scottsburgh\n",
      "City not found\n",
      "Processing Record of | voyvozh\n",
      "Processing Record of | russellville\n",
      "Processing Record of | umm kaddadah\n",
      "Processing Record of | haines junction\n",
      "Processing Record of | bitung\n",
      "Processing Record of | vila franca do campo\n",
      "Processing Record of | jiuquan\n",
      "Processing Record of | san quintin\n",
      "Processing Record of | nhulunbuy\n",
      "Processing Record of | morondava\n",
      "Processing Record of | yanan\n",
      "City not found\n",
      "Processing Record of | ternate\n",
      "Processing Record of | sal rei\n",
      "Processing Record of | krasnooktyabrskiy\n",
      "Processing Record of | shache\n",
      "Processing Record of | mount gambier\n",
      "Processing Record of | vao\n",
      "Processing Record of | chiradzulu\n",
      "Processing Record of | makat\n",
      "Processing Record of | fairbanks\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing Record of | porto nacional\n",
      "Processing Record of | alyangula\n",
      "Processing Record of | tupancireta\n",
      "Processing Record of | natitingou\n",
      "Processing Record of | chuguyevka\n",
      "Processing Record of | powassan\n",
      "Processing Record of | kirakira\n",
      "Processing Record of | nsanje\n",
      "Processing Record of | bathsheba\n",
      "Processing Record of | midland\n",
      "Processing Record of | yershov\n",
      "City not found\n",
      "Processing Record of | marcona\n",
      "City not found\n",
      "Processing Record of | hasaki\n",
      "Processing Record of | benguela\n",
      "Processing Record of | marsa matruh\n",
      "Processing Record of | fez\n",
      "Processing Record of | bilma\n",
      "Processing Record of | sabha\n",
      "Processing Record of | norman wells\n",
      "Processing Record of | macapa\n",
      "Processing Record of | tura\n",
      "Processing Record of | pandan\n",
      "Processing Record of | lavrentiya\n",
      "Processing Record of | auki\n",
      "Processing Record of | fortuna\n",
      "Processing Record of | fort smith\n",
      "Processing Record of | port macquarie\n",
      "Processing Record of | provideniya\n",
      "Processing Record of | ilo\n",
      "Processing Record of | bluff\n",
      "Processing Record of | batticaloa\n",
      "Processing Record of | samusu\n",
      "City not found\n",
      "Processing Record of | jawhar\n",
      "Processing Record of | srandakan\n",
      "Processing Record of | catende\n",
      "Processing Record of | ginda\n",
      "Processing Record of | hofn\n",
      "Processing Record of | fort nelson\n",
      "Processing Record of | sorland\n",
      "Processing Record of | kaniama\n",
      "Processing Record of | kyren\n",
      "Processing Record of | barra do garcas\n",
      "Processing Record of | roma\n",
      "Processing Record of | sergeyevka\n",
      "Processing Record of | erzin\n",
      "Processing Record of | antofagasta\n",
      "Processing Record of | diffa\n",
      "Processing Record of | nzega\n",
      "Processing Record of | tumannyy\n",
      "City not found\n",
      "Processing Record of | yulara\n",
      "Processing Record of | saurimo\n",
      "Processing Record of | toliary\n",
      "City not found\n",
      "Processing Record of | sampit\n",
      "Processing Record of | ughelli\n",
      "Processing Record of | scarborough\n",
      "Processing Record of | dubrajpur\n",
      "Processing Record of | charters towers\n",
      "Processing Record of | severo-kurilsk\n",
      "Processing Record of | san joaquin\n",
      "Processing Record of | ipaussu\n",
      "Processing Record of | baboua\n",
      "City not found\n",
      "Processing Record of | bud\n",
      "Processing Record of | erenhot\n",
      "Processing Record of | klaksvik\n",
      "Processing Record of | baghdad\n",
      "Processing Record of | pevek\n",
      "Processing Record of | rawson\n",
      "Processing Record of | adwa\n",
      "Processing Record of | oussouye\n",
      "Processing Record of | kamaishi\n",
      "Processing Record of | kimbe\n",
      "Processing Record of | karanja\n",
      "Processing Record of | ponta delgada\n",
      "Processing Record of | glendive\n",
      "Processing Record of | maracaju\n",
      "Processing Record of | campobasso\n",
      "Processing Record of | urucara\n",
      "Processing Record of | bandarbeyla\n",
      "Processing Record of | kozlovka\n",
      "Processing Record of | muroto\n",
      "Processing Record of | truro\n",
      "Processing Record of | tres arroyos\n",
      "Processing Record of | palmer\n",
      "Processing Record of | veinticinco de mayo\n",
      "Processing Record of | marsh harbour\n",
      "Processing Record of | douglas\n",
      "Processing Record of | sengiley\n",
      "Processing Record of | talaya\n",
      "Processing Record of | bac lieu\n",
      "City not found\n",
      "Processing Record of | tucuman\n",
      "Processing Record of | camacha\n",
      "Processing Record of | aflu\n",
      "City not found\n",
      "Processing Record of | saint george\n",
      "Processing Record of | san cristobal\n",
      "Processing Record of | boissevain\n",
      "Processing Record of | touros\n",
      "Processing Record of | tuktoyaktuk\n",
      "Processing Record of | coahuayana\n",
      "Processing Record of | lorengau\n",
      "Processing Record of | paamiut\n",
      "Processing Record of | tsihombe\n",
      "City not found\n",
      "Processing Record of | tarko-sale\n",
      "Processing Record of | san blas\n",
      "Processing Record of | batagay-alyta\n",
      "Processing Record of | borogontsy\n",
      "Processing Record of | kalininsk\n",
      "Processing Record of | airai\n",
      "Processing Record of | louisbourg\n",
      "City not found\n",
      "Processing Record of | nurota\n",
      "Processing Record of | agadez\n",
      "Processing Record of | puerto leguizamo\n",
      "Processing Record of | clyde river\n",
      "Processing Record of | mwense\n",
      "Processing Record of | jacqueville\n",
      "Processing Record of | port lincoln\n",
      "Processing Record of | tuatapere\n",
      "Processing Record of | krasnoselkup\n",
      "City not found\n",
      "Processing Record of | sola\n",
      "Processing Record of | nouadhibou\n",
      "Processing Record of | broome\n",
      "Processing Record of | gander\n",
      "Processing Record of | najran\n",
      "Processing Record of | algiers\n",
      "Processing Record of | beloha\n",
      "Processing Record of | ambilobe\n",
      "Processing Record of | el alto\n",
      "Processing Record of | mogzon\n",
      "Processing Record of | thinadhoo\n",
      "Processing Record of | laguna\n",
      "Processing Record of | chuy\n",
      "Processing Record of | richards bay\n",
      "Processing Record of | chagda\n",
      "City not found\n",
      "Processing Record of | apiai\n",
      "Processing Record of | aneho\n",
      "Processing Record of | tarakan\n",
      "Processing Record of | hambantota\n",
      "Processing Record of | coihaique\n",
      "Processing Record of | shaoguan\n",
      "Processing Record of | chernukha\n",
      "Processing Record of | grand gaube\n",
      "Processing Record of | qaanaaq\n",
      "Processing Record of | phan rang\n",
      "City not found\n",
      "Processing Record of | durban\n",
      "Processing Record of | chokwe\n",
      "City not found\n",
      "Processing Record of | la ronge\n",
      "Processing Record of | lagoa\n",
      "Processing Record of | foz\n",
      "Processing Record of | san juan\n",
      "Processing Record of | eyl\n",
      "Processing Record of | taybad\n",
      "Processing Record of | warqla\n",
      "City not found\n",
      "Processing Record of | meyungs\n",
      "City not found\n",
      "Processing Record of | evensk\n",
      "Processing Record of | san policarpo\n",
      "Processing Record of | kahului\n",
      "Processing Record of | dunedin\n",
      "Processing Record of | buqayq\n",
      "City not found\n",
      "Processing Record of | haukipudas\n",
      "Processing Record of | inhambane\n",
      "Processing Record of | teguldet\n",
      "Processing Record of | mackay\n",
      "Processing Record of | general roca\n",
      "Processing Record of | san pedro\n",
      "Processing Record of | middle island\n",
      "Processing Record of | prince rupert\n",
      "Processing Record of | sibolga\n",
      "Processing Record of | okha\n",
      "Processing Record of | kieta\n",
      "Processing Record of | honiara\n",
      "Processing Record of | sistranda\n",
      "Processing Record of | vung tau\n",
      "Processing Record of | iqaluit\n",
      "Processing Record of | plouzane\n",
      "Processing Record of | shetpe\n",
      "Processing Record of | puerto narino\n",
      "Processing Record of | wellington\n",
      "Processing Record of | bambous virieux\n",
      "Processing Record of | turukhansk\n",
      "Processing Record of | monrovia\n",
      "Processing Record of | canon city\n",
      "Processing Record of | ust-kamchatsk\n",
      "City not found\n",
      "Processing Record of | les cayes\n",
      "Processing Record of | nizhniy tsasuchey\n",
      "Processing Record of | solnechnyy\n",
      "Processing Record of | port blair\n",
      "Processing Record of | nemuro\n",
      "Processing Record of | walvis bay\n",
      "Processing Record of | luwuk\n",
      "Processing Record of | cockburn town\n",
      "Processing Record of | samarai\n",
      "Processing Record of | elat\n",
      "Processing Record of | leh\n",
      "Processing Record of | miyako\n",
      "Processing Record of | college\n",
      "Processing Record of | gizo\n",
      "Processing Record of | portland\n",
      "Processing Record of | tiksi\n",
      "Processing Record of | sao felix do xingu\n",
      "Processing Record of | shiyan\n",
      "Processing Record of | pecos\n",
      "Processing Record of | mehamn\n",
      "Processing Record of | naryan-mar\n",
      "Processing Record of | zihuatanejo\n",
      "Processing Record of | jonkoping\n",
      "Processing Record of | kostino\n",
      "Processing Record of | porto santo\n",
      "City not found\n",
      "Processing Record of | zhuhai\n",
      "Processing Record of | klyuchi\n",
      "Processing Record of | rodrigues alves\n",
      "Processing Record of | boa vista\n",
      "Processing Record of | along\n",
      "Processing Record of | grindavik\n",
      "Processing Record of | alihe\n",
      "Processing Record of | tocopilla\n",
      "Processing Record of | taburi\n",
      "City not found\n",
      "Processing Record of | maniitsoq\n",
      "Processing Record of | planos\n",
      "Processing Record of | potgietersrus\n",
      "City not found\n",
      "Processing Record of | saldanha\n",
      "Processing Record of | yatou\n",
      "Processing Record of | qaqortoq\n",
      "Processing Record of | dorado\n",
      "Processing Record of | port hardy\n",
      "Processing Record of | ca mau\n",
      "Processing Record of | itarema\n",
      "Processing Record of | hurghada\n",
      "City not found\n",
      "Processing Record of | tammisaari\n",
      "City not found\n",
      "Processing Record of | tarudant\n",
      "City not found\n",
      "Processing Record of | baillif\n",
      "Processing Record of | plyussa\n",
      "Processing Record of | qena\n",
      "Processing Record of | guapo\n",
      "Processing Record of | batagay\n",
      "Processing Record of | ayr\n",
      "Processing Record of | cabedelo\n",
      "Processing Record of | moron\n",
      "Processing Record of | puerto quijarro\n",
      "Processing Record of | gushi\n",
      "Processing Record of | bengkulu\n",
      "City not found\n",
      "Processing Record of | tangjiazhuang\n",
      "Processing Record of | bubaque\n",
      "Processing Record of | hervey bay\n",
      "Processing Record of | durango\n",
      "Processing Record of | genhe\n",
      "Processing Record of | salalah\n",
      "Processing Record of | ponyri\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing Record of | alofi\n",
      "Processing Record of | atar\n",
      "Processing Record of | rongcheng\n",
      "Processing Record of | alta floresta\n",
      "Processing Record of | tefe\n",
      "Processing Record of | dharchula\n",
      "Processing Record of | mildura\n",
      "Processing Record of | puerto baquerizo moreno\n",
      "Processing Record of | cayenne\n",
      "Processing Record of | broken hill\n",
      "Processing Record of | bastrop\n",
      "Processing Record of | mangan\n",
      "Processing Record of | egvekinot\n",
      "{'City Name': 'Hithadhoo', 'Lattitude': -0.6, 'Longitude': 73.08, 'temperature': 82.63, 'Humidity': 74, 'Cloudiness': 87, 'Windspeed': 7.61}\n"
     ]
    }
   ],
   "source": [
    "# Loop through the list of cities and perform a request for data on each\n",
    "city_list = []\n",
    "\n",
    "print(\"Beginning Data Retrieval\")\n",
    "for city in cities:\n",
    "    try:\n",
    "        print(f\"Processing Record of | {city}\")\n",
    "        response = requests.get(query_url + city).json()\n",
    "        name = (response[\"name\"])\n",
    "        lat = (response['coord']['lat'])\n",
    "        long = (response['coord']['lon'])\n",
    "        temp = (response['main']['temp'])\n",
    "        humidity = (response['main']['humidity'])\n",
    "        cloudiness = (response['clouds']['all'])\n",
    "        windspeed = (response['wind']['speed'])\n",
    "        city_dictionary = {\"City Name\": name,\n",
    "                          \"Lattitude\": lat,\n",
    "                          \"Longitude\": long,\n",
    "                          \"temperature\": temp,\n",
    "                          \"Humidity\": humidity,\n",
    "                          \"Cloudiness\": cloudiness,\n",
    "                          \"Windspeed\": windspeed}\n",
    "        city_list.append(city_dictionary)\n",
    "    \n",
    "    except(KeyError):\n",
    "        print(\"City not found\")\n",
    "        next\n",
    "print(city_list[0])"
   ]
  },
  {
   "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": 24,
   "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 Name</th>\n",
       "      <th>Cloudiness</th>\n",
       "      <th>Humidity</th>\n",
       "      <th>Lattitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Windspeed</th>\n",
       "      <th>temperature</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Hithadhoo</td>\n",
       "      <td>87</td>\n",
       "      <td>74</td>\n",
       "      <td>-0.60</td>\n",
       "      <td>73.08</td>\n",
       "      <td>7.61</td>\n",
       "      <td>82.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>New Norfolk</td>\n",
       "      <td>75</td>\n",
       "      <td>66</td>\n",
       "      <td>-42.78</td>\n",
       "      <td>147.06</td>\n",
       "      <td>5.82</td>\n",
       "      <td>50.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mahebourg</td>\n",
       "      <td>75</td>\n",
       "      <td>60</td>\n",
       "      <td>-20.41</td>\n",
       "      <td>57.70</td>\n",
       "      <td>12.75</td>\n",
       "      <td>71.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Isangel</td>\n",
       "      <td>20</td>\n",
       "      <td>88</td>\n",
       "      <td>-19.55</td>\n",
       "      <td>169.27</td>\n",
       "      <td>10.42</td>\n",
       "      <td>68.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Dikson</td>\n",
       "      <td>100</td>\n",
       "      <td>96</td>\n",
       "      <td>73.51</td>\n",
       "      <td>80.55</td>\n",
       "      <td>10.58</td>\n",
       "      <td>41.77</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     City Name  Cloudiness  Humidity  Lattitude  Longitude  Windspeed  \\\n",
       "0    Hithadhoo          87        74      -0.60      73.08       7.61   \n",
       "1  New Norfolk          75        66     -42.78     147.06       5.82   \n",
       "2    Mahebourg          75        60     -20.41      57.70      12.75   \n",
       "3      Isangel          20        88     -19.55     169.27      10.42   \n",
       "4       Dikson         100        96      73.51      80.55      10.58   \n",
       "\n",
       "   temperature  \n",
       "0        82.63  \n",
       "1        50.25  \n",
       "2        71.29  \n",
       "3        68.00  \n",
       "4        41.77  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "city_list_df = pd.DataFrame.from_dict(city_list)\n",
    "export_csv = city_list_df.to_csv (r'cities_dataframe.csv', index = None, header=True)\n",
    "city_list_df.head()"
   ]
  },
  {
   "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": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Max Temperature(F)')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = city_list_df.plot.scatter(\"Lattitude\",\n",
    "                      \"temperature\",\n",
    "                      marker=\"o\", \n",
    "                      facecolors=\"DarkBlue\", \n",
    "                      edgecolors=\"black\", alpha=0.75) \n",
    "plt.ylim(30, 110)\n",
    "plt.xlim(-60,80)\n",
    "plt.grid()\n",
    "ax1.set_title('City Latitude vs. Max Temperature', fontdict={'fontsize': 10, 'fontweight': 'heavy'})\n",
    "ax1.set_xlabel(\"Latitude\", fontsize=10)\n",
    "ax1.set_ylabel('Max Temperature (F)', fontsize=10)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Humidity Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Humidity (%)')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = city_list_df.plot.scatter(\"Lattitude\",\n",
    "                      \"Humidity\",\n",
    "                      marker=\"o\", \n",
    "                      facecolors=\"DarkBlue\", \n",
    "                      edgecolors=\"black\", alpha=0.75) \n",
    "plt.ylim(20, 110)\n",
    "plt.xlim(-60,80)\n",
    "plt.grid()\n",
    "ax1.set_title('City Latitude vs. Humidity', fontdict={'fontsize': 10, 'fontweight': 'heavy'})\n",
    "ax1.set_xlabel(\"Latitude\", fontsize=10)\n",
    "ax1.set_ylabel('Humidity (%)', fontsize=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Cloudiness Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Cloudiness (%)')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1te9g27iGgmPPQwgDzp79OD96nVn/7wo6/vEUzzz5GGefd9GQbgcMWfTv3Yb9/ZdxuZxkzDhDF55Fwga4g9AihBjv0w3V6jm+B5jkc91EoCnJsmnGarWy8pblLL9tJW3ZVuRBGytvWZ7QAWOr1UrdHTdxxbU/oenZOzFmF1CeZ6Gu7q6A+TY3NyOyreSWTACgsLKGiklVNL3yIB1F5RHLXF+/nhtuX4nwKa/BEL9gOqvVSt3tP+PK626k6e3ncR7sZHyxu8y+Mkaqh3D466l2xtG89fbzfPrnX5BpcFF3+88ARjzrqqoqlnzzFG6vuxVjfgl2Wwv5ZknzcyswZheQ4ehF9NgwGi20PXcXpoISHF1tmIxG8nZvHJJ38+Z3KczNZu/an2PILsDQ38nt118zNMjtW9dEtpWslt1kZAtMRgMta1cw6ZBDOfAfh6ZnGUu99er9osuuYucfbsGQXQAHD1BSWMDe138d82/A+xwKK2s4/JTv8NHrT+BwDJJlzeSW667iTy8+hU2DzFarlfvuvp3/uuhSWv98O8asAhw97RSXlpP3RQM5mTKgvIH0UlVVNeK4W5bnMR1yzpD+S/KzOPCXe5A5RTg6WzEZjRQ0v8eyn1zDA79+gqbXfgVGCwdevgdzcRUOWxMzTj2PwsoabNlW+vr6+MGlF3LtXffjcjkx9O8ny1rMgDBQaOzH9fFLtHz4Kvbu/ciBPnrefIqegd6Av49Yn3Moku1ZrAL2SylXCiGWA0VSyp8IIc4ArsI90P014FdSyjnh0k+VZ+El1miDaCzzSKKFgllLkUbQBEtrxc3Xc9JJJ0Ukv5a84h0NFSzSyN+z8B2neOQXK4elGygKaOGiJRSddAmW/GLsXe20rnuUVbfdSF5enqZoKP++6tZPP+Tglpf5+2svhYzUAdi0aROHHnpo0qKhvOX/3tU/In/mGWRZSzAYzbRt+C2P3Ht3xJE5wTwLX0+46fXVvPzsH4Y8LD1FQ/nrP1g0VGNjI6ctXkLR1xaTN2EqH7z1T3q3/YMFV909wrtZcOa3KJx/MYUV1fS0N9H0yoO8tOZ3FBQUsHnzZvbv309tbS39/f1AbNFQuvIshBB/BOYDxUKIPcAtwEpgjRDiEmAXcK7n8r/gbig+xR06e3Gi5IonVqs16eGnVquVOXPCtqNBrYtAYZnh8Le+c0sm0JZtZXBwMOK0whFJ+bRct6ruHu645wGM+SU4u9q45bqrWLZs2bB0/PVUd/vPRqS9efO7wzyr7198HiLbirW8EoDs7Eo68oqZMGECtbW1Q2mH0re/XqtnHs8XjZtpbm4OaC36HsvMzIzqWQZKKxxer3LAmMnOPc3MOiaXcZOnA2DLLyE/Pz9kelq80kDP4b677xjmYUUis9VqZdGiRUHPBTse6Jz/cavVOkL/wZ51VVUVD9yzguW3reRA43vkt+wmN8cY0Lupu/1nLL9tJT2e8v9yxa1UVVV59Hf3MP0tWLBAkw7i+X5KWGMhpfyvIKdGmKKeUK4rEyXLWGXBggWsmzkz5ljr8nJ3t1VP294h61setGE2m+Ms8XBi9dw++OADbq+7n7KzbyC7rJq+1kZuq1vBOeecM+yHHU5PNpuNG25fOcz7+NWv3WMZ/jrxWq9aytbV1cVgV1vUaSQD37JnFpbR+a8G3n/lSeZXTsPe2xVUXt8oPH/dLb9tJStuvn7EPfGqr3rBq4OZM2ey7oU1I+ZQZGVl0dLSwttvv01NTU3A8geqe8tvW8m6mTOTrp9kj1kokkw8rItgXko8xyz8CWSNarGmfO+/4pplODOtOHOKcTgcZJVWYcwvYevWrSOswFB6CuRZmfOKueLbp/PQb1ZH3C/sW7a+vn4+WbMSa8WUpIx9RUq4MZ1A8g4r34Fm7NLAFI1eaSq89UQQrv5u3vwuV/34Rpq77UPjcw/f+3MWLFgwrPzBvPpA3meiUY2FQhOBrJ6GhoaE5BWrNeW9f+Kpl9L4xN0M2lrAWoaxtx1nVxvTp0+PSJ5gntXixYtZvHixpn7uUGVrevUh7r/turjPRI8H/mU3OXqZXFbAI/fcHlBe//J5I4iqdu0YimZKhleaKLzP1el0hrzG/xlfd9MdPJKbOzTe9eNb7qTv0NOp8In8u+6mO1jvV8eD1b1UeJ+qsVBoJllWX6zWlPf+0pqjqJ3/Tba9cDfGnEKM/TZu/fHVEff1h4suCWVZ+1uVwbyUcP3+qULrmI4X//JZyyuZdMihNL2+GlvxhKR4pYnC97levPhkhBABvV1/HfTu38enO3dz6fI7yXD28/2Lz8NpycVcOB6jOQNj4XjMBaU4DM4RdTwVkZfBUI2FQnfEak353n/oyecxrupQ9rz2GM+++CIzZsyISiat/enhvCI9WYpaiWQsIVD5cgwOnnn2D8MitxLllSYK/+dqym8O6u366sCSk8/7rzxJ0fwL+cox8+nvaOFXv34I6RhksGMfloJSnD0HGOxsxVScG7Ae6GUsRzUWCt0RqzUV6P5HfnVP1A2Fb7rhZAjnFenJUowErV5lPKPw9IT/czWYLIgg3q6vDvpdBqTLRe2MozGZTEOe5A++fTp3/+rRkHOK/NNMdR1RjYUiYrT028ZKLNaUzWajoqIiqjklsaLFc9CLpZgoRlP5fKO6BrvaaP7P2xRVH4or3x7SI/TqYMeOHVz+o+WYHL2AdcR4V6JWTk4EqrFQRITWftt4EI01FWi8wDvvIRlo9Rz0YCkmktFQPt+6ZGv6nH77IF+88iTOg52cdOOysB6hdy6Qd/5EoPqgZa6QXlCNRRrha+Uk22L25q+13zYVhBsvSNZeHqPJsh4tRDMD3FuXLDn5fPLwjeQffQ4nfO04ult3YzD2MXPmTE15j5b6oBqLNMFr5fS4TOz59GMqJlWRn2WJeP5BLETSb5sKQo0X+M/ATnREzmiwrEcL0czZ8a1LXc07MReUYi4cj8vlpKTyEIT4OKJ6PxrqQ/rFr41BvFZO0UmXMHj4Nyk7+wb29w5SeNz5LL9tJTabLSly+PbHg3tpcD1F8vjL5+0f9p1FPPnsaylduJTlt61M6JiLQh/4egi+zz7cb8a3LmXmj2Ows9UdvWSxuOuXy6mbep8slGeRBnitHEt+MbR2k1U8ia4cK0ZLci17//54x+KTdRXJE2y8oK+vL2lrWyn0RbRzdnzrksi2UpIpMXz8F3Yf+BB50MaE667WTb1PFqqxiAOJ7gv3Wjn2rnZwOuhrbcTVa8Npj49lH4n8vv2ve/fuZebMmWzbti3iFUwTpa9g6+vIgzY6du3AaLEM6U0Ps4ijXQG2v78fm82WkLGYcPtfx7L/uffegwcPDskfjWzBxu38VxgOFp2WlZXF22+/DXy5N7Z/mr4RTb7XlZeXs2XLlpCz9Ddv3syuXbuorKxk1qxZQ+eD7bPtPf/BBx+wceNG5s2bF3Ood9yJdB9WPX1SuQe3l1j2NI5kD+v6enc+hx17mswrr5bTZp8Ql320Y5H/xRdfjPjeeO8DrpVVdSP3uY73HuKREo0uvPc8vPpx957QdZHtTx2pTP77X/vuKx3p/ue+e3jfe/9DUe8hP232CQH3Hw+2l7n3t+NbJq8ceZNnyOzSSjnp8DkBf1fBnlGwuv/GG/VywpQaaS4cLzMqj5DmwvFywpSaEXu5B9oPfOnSy6W5cLzMqvqqNBeOl5dddrlm3UQKetuDO9HoYT+LWHbMi3Q/i3hHQ8W6c9rTf3qGl9sLNd8brx0GI8Wbr+/eEwfqH0/IfhyRyhSJLnzv+da0LP60pT3m3Q9DyeS//3XHrh28+dhNmAvKKD0tsn3gvXth7LENUHrqlVz9tUJWvfIBRY0bWPvUb8LW52A76Xl3Cfz1/XUce8qikHuZe3873l3pihdezsGDfUiXE1vDbylbcCHdm55h5tlLh3awC7Rv/TNPPsarr60bUfefefIxzlpyPts/28W4M5dhKZ2CvX03+19aySFVE8jIyKTi9CsD7sj4xXN1fPLFLkq/9TMySqsZaN1J63N38k7DawnxMKLZz0INcMdAoP5Q7xhCIrBardTW1lJVVUVtbW3ML9hY5G9udu/tHcm9ydaXf77W8kqys7OxllciUjxmEY0u/O8xWiwY80vcY1ka04hEJkt+Mcb8EowWy1B+IrsAY34xFs+6RubC8TgtuUHzrK9fz8JFS7h0+Z18sasJKYxYCscjhMBcOB5bbz9nLbmAC6+9mYWLlrB+/fqQshktFgw5VrJKq8BowpJfjMi2snHjRoz5Je7jMGyFYfjyt9PX14fDkIG5oBRTXjHCZME8biKG3CJMWbkYfMYCt27dGvAZbd26NWDd37p1K/0OMOaXYB43CQwGLMWTMOaXcNDuxGHIILdkAna7HbNnPaj+rv3klkygt9+OKb+UjNJqADJKqzHll7Jx48aonmUiUI1FDASLvkmXKIlY5C8vLweXM6J7U6WvYPmmcswiGl343+O023F2tbnHsjSmEYlM9i73Kr1Ou30oP3mwE2dXO/aOfTgHBxjs2IfR3hN0TwtvJNJXzvkxRSdezMH9TfQ1f4aUkoGWz2lrbqLijCvDRip5ZXPa7bh6bfS1NoLTgb2rHXnQxrx583B2tbmPA32tjQFXGC4vL8fkGmCwsxVHdzvSYWdw/x5cPQdw9PUMGwucPn16wGc0ffr0gHV/+vTpZJrA2dXG4P7d4HJhb9+Ns6uNbIsRk2vAvV6UxcJgxz4GO1vJzB/nXj8r04Kjq5WB1p0ADLTuxNHVyrx586J6lgkh0n4rPX30MGbh3x+aqDGLRBGL/NGMWcSSXywEyjfV+o9GF957vGMWdXEes/CXyT/9ugjGLD7++GM559Rz5bcffVN++9E35Skr/+IeIyiZJO+9/yE5+dCvysOOPW3o/LcffVPOOfVc+fHHH4eULdiYRV2Acalg6fiPWVQGGbMI9oyC1f36+uBjFr5pBRqzuOwyNWaRMPQwZhHLGEI0e3Angmijabx7WEcTzZOM2azhoni2bNmScv1HGw21adMm5s6dm9BoKG+99q/fsewD3/TqQ6y67UYGBgaYPn16wDGBcOM2kURDhSqjf5RTsDQD6de/7gPD/tZ7NFQ0YxYp9w5i+aTSs4hHVE+qLdtY0bP8gZ6P/7EXX3wx1WJGTaJ1H6+otWCWuVf+VHmaseKr/1RF+MUCUXgWap5FFOhpX9yxTCS70V13850gJRWnXzl0bG9Tc8BY/2R5PnolnvU73LpI6b5u0lh6F6jGIgr0tC/uWCXS3eicllzkoH3YMUTXiGcW697fo4F41+9w6yKl87pJY+ldoKKhoiDdo6DSnXDr/QR6PkZ7z1A0iveY//o+0a4jNNpQ9Vs7Y0lXyrOIgnTd7Wy0EM1udHW3/wxg2DH/9X3GkpUYClW/tTOWdKUaiyhJ975WPRNuzCCW3eh8j23ZsiXidMcKyazf6T5GNFbeBaqxiIF07mvVK1rGDGLZjS7UMxtLVqIWklG/R8sY0Vh4F6jGQidojQ+H9LfEghFJZEmirLmxYiXqgbEUSRSOdPhNq8ZCB6yqu4c77nkAY34Jzq42brnuKpYtWxbw2tFiiQUi0jGDRFlzY8FK1ANqjMhNuvymVWORYhobG7njngeGrZZ5W90KzjnnnBEexmi3xMKNGejZ+tKzbHpFjRGl129aNRYpZuvWrUFXy/RvLEa7JRZqzEDP1peeZdMzaowovX7TqrFIMdOnTx9aLdPrWQRaLRPS0xKL1OIOttNdIqwvp9MZ8S5//sQim/JGQo8RJVo/etB/Ov2mVWORYqqqqrjluqu4rW7FsDGLQIPc6WaJRWtx+48ZJML6qq9fzyeffs5P6x6NyRuIVjbljXxJoDGiROtHL/pPp990ShoLIcS1wPcACXwIXAyMB54GioB3gQuklPZUyJdsli1bxjnnnKMpGipdonXi6Q3E2/ryyrb0iiuYfPa1SZctnfqpU0Gi9aM3/afLbzrpjYUQYgLwA+AwKWWfEGIN8B3gdOBeKeXTQohHgEuAh5MtX6qoqqoKGzLrJR2ideLpDcTb+vLKZjBZUiJbOvVTp4JE60eP+k+H33SquqFMQJYQYhDIBvYBC4DzPOefAG5lDDUWo414ewPxtL68srnZFC3jAAAgAElEQVQcbsc12bJFohs99Ksnm0T346fTOIGeSMnmR0KIa4C7gD5gHXANsElKeYjn/CTgVSnl4QHuXQosBSgpKZm1Zs2apMkdb3p6esjNzU21GFETTv7u7m72Nrn36sblZEJFOXl5eUmUMDjd3d30Dwywv6MrJbJp0U2oa1TdiY1Y0093/Z944okRb36Uim6oQmARMBmwAc8ApwW4NGArJqVcDawG9055qd7pLBai2SlPT5amFvn1JK+/LPX19Rxx+OEpky2UbkbsMte+l9Y/3D+0i5xedlmMFj3UnVjST3f9R0MquqG+AXwhpWwDEEI8B3wdsAohTFJKBzARaEqBbLpGLxEckaCXvthAujMajdTW1qZMplC60WO/erJJdN3RS91MF1Kxn8UuYK4QIlsIIYCTgP8AG4BzPNdcCLyQAtl0i9prIXqC6c7pdKZatKCMpX0SFOlB0j0LKeVbQohncYfHOoD3cHcrvQI8LYS403Ps8WTLpmeUpRk9wXQ3ODiYYsmCk07x94qxQUqioaSUtwC3+B3+HJiTAnHSAhXBET3BdGc2m1MtWkjSJf5eMTZQM7jTBGVpRk8w3RkM+t9VWPWrK/TCmGksUhGV88EHH7Bx40bmzZvHjBkzwl4fTsZoLM14lds3nV27dlFfX8+UKVOw2WxD6SYreiUrK4u+vr6I8lmwYAHPTJ06bJZ8Q0NDwDx27NhBd3c3eXl51NTUDK1P5c27paUFYMS5eDwT/zKGK6t3H5SJEydisVii0k0kcnr1A5CZmcmePXuYPn06BQUFbN68mV27dlFZWcmsWbOwWq1D8uXn59PV1RV2hYJwuoykDgRLK9gz1oK3PCaTaUT6oWQPtF9NqLL46jkS+RKKlDJtPzU1NVILb7xRL2cff7Kcc+q5cvbxJ8v6+npN98XC0qWXS3PheJlV9VVpLhwvL7vs8hHXbNiwIaEyxitN33RKJ02VpoJSmTHxMHnPL++TpZOmyPr6+oTr2Jv+tNknyLzyannYsadFlE8g+Xz1772m9qi5MqeiRpoLK2Te5Bmy9qi5ctWquqG8swrLZU75ZGk9ZOawc1rLHUpP/mWsnun+njb7hBHXbtiwQf58VZ3MK6+WeVNnSXPheFk8aUpUutEqp1c/1kNmyqzSKmnMLZI5E6fJ7JJJ0lpSIc3jJsqMiYdJk7VcTphSI5dedrnMK6+WuVOOkiZrucwsniTzyqtlXV3dCN2H043v+UOPPS2oXsKl9cYb9bJmxiyZXVYlMydNlznlk2XNjFmadOXVt7VmtvzFvffJytoZQ+mHqge+93nLH6osXhnzKqYO1bN4/56Ad2SE79uUTMqLF9OmTZPbt28Pec2IePW2vbSuWz0Ur54IPvjgA46efyql3/oZGaXVDLTupPW5O3mn4bVhHoY3VjsRMsYrTd90pDGTNx74CfmzzyZ7yiyWzXDxk5/dypSSPDKzMqk4/cqE6NgrQ+Fx5/Pu2tVYT7gQpIup4ws5UP942HyC6WLFzddz0kknDV2z4Mxv0T5+Lge21FM4/yKky4nh4AE6Gv6P2ef/hPdffoJ++yCFC75HfukEend+wIENj/P1S26jsLImbLlDPRNgWBkLjv8ufQcPkpmdSdfff8/Ms5fS8Y+nhtJet24d51x4GaWLl+PMKcZua6H1z3dSccbVWPIKNetGq76a/vIgLpfENuUksipn0Nmym44Nj2MwGMg+/BvY/vkUxWcsw1JSRd+uD7DVrwYkE5fcgiNrHI7ONtpfupvxp1xOR/1qnn3iURYuXKhJN16rfeGiJRSddAmf7esAYcD2tydG6CVUWs88+Rhnn3cRO1u7yDhqEZmVhzNoa+bg339DdUku619ZG1RXjY2NHDF3PmVn34Alfxzfm9jKyvV7mTf/G/TbWnjz4eXMu+TWEfWgs7Nz6D7vqtLNf76TqVOmUH7aFSPK0rbhtzicDvZ09FN66pUYc4vo3fk+RY0bWP/yc3F7ZwkhIp6Up/9O2xgJFAkjPFFEiWLjxo2Y8kvJKK0GIKO0GlN+KRs3boxKRpvNxrZt2yIKk41XuX3T6WjZgylvHObC8QijGWEyYyoopXvQhcOQkTAde2UwWiwYcqzuvT+MJiz5xZryCaYL32io5uZmnJZchCULY24hlpIqhMmCMa8YY24JjoGDYM7EVFCK2VqOMFkwFZRizC3BaLEMSzeYPKGeiX8ZM0oqESYzGYUVGHLcx33T7u/vx5hfQkZJJSDIKJ6EqaAEIR0R6UarnA5DBgOGTMyF48FgwmQtx1RQBuYsDCYLpvxSDOZMhDkDc+F4DFn5GPNKMBdVgBBYSqsw5hUjpANjfgn9/f2adeN73pJfDEYTWaVVAfUSKq2tW7fiMGRgyC3CVFiOwZKJ2VqOMb8YhyEjpK58950Z7OlAGE2YC8vp7e3Fkl+MMT9wPQi0X43ILmDAkBmwLA5DBgPShLmgFEvheIwefTotuQl9Z2lh1DcWqYhXnzdvHo6uVgZadwIw0LoTR1cr8+bNi1jG+vr1LFy0hAuvvZmFi5awfv16TTLEq9y+6RSWTcTRvZ/Bjn1I5yDSMYijs5U8swGTayBhOvbK4LTbcfXa6GttBKcDe1e7pnyC6cI3Gqq8vByjvQdp78PZ04G9rRHpsOPsbsfZ04YpIxsG+3F0tjJoa0Y67Dg6W3H2tOG0a1tjKtQz8S/jQNsupGOQgY4mXL3u475pZ2Zm4uxqY6BtFyAZaN+No7MNKUwR6UarnCbXABmufgY79oHLgcPWjKOzBQb7cDnsOLpacQ32IwcHGOzYh6uvC2d3G4MHmkBK7K2NOLvbkcKEs6uNzMxMzbrxPW/vageng77WxoB6CZXW9OnTMbkGcPUcwNHRjMvez6CtGWdXOybXQEhd+e47Y84tRDodDHY0k5OTg72rHWdX4Hrgex9AX2sj8mAnGa7+gGUxuQbIEA4GO1uxd+zD6dGn0d6T+sjHSPut9PTROmZRX5/8MYvLLotszCKQjB0dHXL28SfLM+58Rn770TflGXc+I2cff7Ls6OjQJEO8yu2bTumkKQHHLBKtY2/60Y5ZBJLPv9+8vt47ZvGVYWMWdXW+YxZlw8YsvOfmnHquPOqYE+VvfvObkM8nlJ78yxhuzKKuzt0Xnp+AMYtAcnr1E3jMYvyIMYvLIhyzCFeHvOcP0zBmESyt+vroxyy8+g40ZuFbD/xl8r3PW/5QZfHKqMYs4oiWMQsveoyG8l9fxl/Gbdu2ceG1NzP57GuHrvli7b08ce/tmpepSHQ01AknnJAW0VCB5Au0vk+00VBr1z7P/b9+AnN+SdilWOIRDeWVPV2joYKtrZRO0VBz5sxJ22ioaMYswjYWQoiJuPebOA6owL1S7Ee4Z1y/KqV0RSdu7ETSWOiRcIuRpWJwPhLSfTG1eMmfiuekdJ9a0l3+aBqLkPMshBC/ASYALwN3A61AJlADnArcKIRYLqX8e3QiK0KhJuKlB2opFsVYINykvHuklB8FOP4R8JwQwgJUxl8shRe15IP+UUuxKMYCIRuLQA2FEGIqkC2l/FC698j+NFHCKdyoJR/0jfIAFWOBiJb7EEL8FDgCcAkhXFLKCxIjlkKhDb1srqQ8QMVoJ9yYxdXAQ1JK78L/X5VSfttz7oNEC6dQhEJvm0EpD1AxmgnnWXQArwkhfiWlfAlYJ4T4G+7JfK8nXDqFwgdfLwIY2tDIO06w/LaVrJs5U72wFYoEEG7M4veejYp+LIT4HnAz8EfALKXsTIaACgWM9CK+f/F5KgJJoUgiWsYspgJ/Ah4D7gAk7kZDNRaKpOC7LarXi/jVYw+CECoCaRSgl3EnRWjCjVn81nNNFvCZlPJSIcRRwGNCiLellHckQUbFGCfQPAZzfglXfPt0HvrNahWBlMbobdxJEZxwnsVRUsqvAggh3gOQUr4HnCWEWJRo4dIVZSnFhr/+gs1jWLx4MYsXL1a6TlMCeYxq3Em/hGssXvMMaFuAP/iekFK+kDCp0hhlKcVGMP2FmsegXizpiZr5nl6EG+C+XgiRD7iklD1Jkint8F0QzGspWXLyObDzY6676Q7WK0tJE6EsTTWPYfShZr6nF+HGLP4b+EOwxQI9s7nHSyn/mQjh0gFfS7jvQDN2aSBn/z7e+sO9GHKs9O3dzfPPP89FF12UalF1TzhLU81jGF2ome/pRbhuqHHAe0KIzcBmoA33QoKHACcA7cDyhEqoY/wtYVvzLv714I9p7fgtpadfPbQl4q9+/SSLFy9WP4IwKEszvYjH2JzyGNOHcN1Q9wkhHgAWAMcAM3AvUf4xcIGUclfiRdQv/pawtbySsonVtNm6cTodOA80UTvjaDoOfKj6YTWgLM30IZ5jc8pjTA/CzrPwLPXxV89H4UMgSzg/00huaQHjrBkUVkyjv6NFWccRoCxN/aOimMYmES0kqBhOIEu47o6bAFh+20p6lHUcFcrS1DcqimlsohqLGAlmCSvrODb0NldFb/KkEjW2NDZRjUUcCGQJK+s4evQ2V0Vv8qQaNbY0NtHUWAghrgF+A3QDvwaOApZLKdclUDbFGERv/eF6k0cvqLGl6EhnD9Wg8br/kVJ2AQuBEuBiYGXCpFKMWQL1hwtPf7iSR19YrVZqa2vT7qWXKurr17Nw0RIuvPZmFi5awvr161MtUkRobSyE5/t04DdSyvd9jkWMEMIqhHhWCLFNCPGxEGKeEKJICPFXIcQnnu/CaNNXpC++/eFAyvvD9SZPtNhsNrZt24bNZku1KAA4nU5dyZNofD3UyWdfS+nCpSy/bWValV9rY7FZCLEOd2PxuhAiDwg4q1sj9wGvSSlrga/inrexHKiXUn4FqGcMT/Yby3j7w1vXreaLtffSum51SvvD9SZPNOjNoq2vX88nn36uG3mSwWjwULUOcF8CHAl8LqU8KIQowt0VFTGetaaOBy4CkFLaAbtnFdv5nsueABqA66PJQ6Efoumj1Vt/eKLlibUfO9T90Yy5JLJf3SvP0iuuYPLZ1yZsDEhvYwOjIYJMSCnDXyTEMcAWKWWvZ72omcB9UsrGiDMU4khgNfAf3F7FZuAaYK+U0upzXYeUckRXlBBiKbAUoKSkZNaaNWsiFUE39PT0kJubm2oxoiac/N3d3extagaDEVxOJlSUk5eXl0QJQ6MH/UerI6/s4e7v7+9n5+4mLIVlQ8fsHS1UT6ogMzMzbvJoxStPSfE4Op2msPJEQzLqXTR1R0+/hxNPPHGzlPLoSO7R2lh8gPvFPgP4HfA48C0p5QmRCimEOBrYBBwjpXxLCHEf0AVcraWx8GXatGly+/btkYqgGxoaGpg/f36qxYgIX4tty5YtQeW32WwsXLRkmEXbum41615YowtLD5Kvf39rNxYdNTQ0cOSRR4a9P5I8kvHMvHksveIK3ugqj3seyap30dYdvXg8QoiIGwut3VAOKaX0dBXdJ6V8XAhxYeQiArAH2COlfMvz/7O4xydahBDjpZT7hBDjgdYo01ckCP/5Bjddd3XQa9Us3+EEmqtRUVERk4606DiSORHJeGZeeXZ88hlfPP/HuM/R0Hu9S+f5V1obi24hxA3ABcBxQggjYI4mQyllsxBitxBimpRyO3AS7i6p/wAX4g7JvRBQmyvpiEB933ubmrHZbAErf7g+Wr1YWMkg2LjBM08+FlM/ttZ+cK1jLsnqV1+wYAFSSp649/a4P//RMDagV7Q2Ft8GzsM936JZCFEJrIoh36uBp4QQFuBz3IPlBmCNEOISYBdwbgzpK+JMIIsN0RXUYgtl0Y61GdHBrN2+vr6YZkJH4jVosWiTOTPbaDRSW1sb93TV7PLEoamx8DQQfwa+4jnUDqyNNlMp5RYgUH/ZSdGmqUgsgSw2ip0hLbZAFq3W6JzR5HmEsnZra2tjirSKd6SW3iLRomE0lEGPaF3u41LcEUhFwFRgAvAI6uU+ZghksU247mpN1qrvNVr6lEeb5xHO2o21Hzve/eDp3K/uZTSUQW9o7Ya6EpgDvAUgpfxECFGaMKkUusTfYtuyZYvme333KQ83lpHOazEF84j0YO2OJm9NkXy0NhYDUkq7EO4VPoQQJiB8zK1i1BGNxebvKXz7m6fwpxdXB7Sy9R7NEopwHlEqrd3R5q0pko/WxuJvQoifAllCiJOB7wMvJU4sxWghkKfwpxdX88yTj9HX1zfCyk3XaBY9e0R6kc3Xs0kmyqOKD1obi+W4l/z4ELgM+AvupcoVipCEigQKFA2TrtEsevaI9CBbJHN0Epmv8qiiR2s0lAt4zPNRKDQTjaegh/79SNGzR5Rq2SKdo5PIfPXi7aUjWqOhjgFuBao89whASimnJE40xWggWk8h3aJZ9OwRpVq2SOfoJDJfvXh76YjWbqjHgWtxL/rnTJw4itGCbz+x11PYsWMHADU1NSmWLjHE4hElul89ld5aNHN0EpWvXry9dERrY9EppXw1oZIoRg2B+omlZEz0HccjWixRukmVtxbtHJ1E5KsXby8d0dpYbBBCrAKeAwa8B6WU7yZEKkXaEqif+Lqb7gAhqDjt+6rv2I+x0q8eyxydeOY7mnSabLQ2Fl/zfPsu0SGB0WcaKmIiUD+xw5CBMFtU33EAxlK/eio9m9Gmy1SgNRrqxEQLoghPOsSLB+onNrkGwG5Pet9xtPpKpp4D6Wuwq42urq6ERwspFJEQsrEQQvy3lPL3QogfBTovpfxFYsRS+JMu8eKB+onr7rgJIKl9x9HqK9l69teXrelzDEYzV99Sp+vnrBh7hPMscjzf+tkLM42JxdJNp37tYP3Eyeo7jlZfqdKzb7TY5T9antSxnXTwVhX6IGRjIaV81PN9W3LEGb0EslgNBoOme9OxXztQP3Gy+o6j1Vcq9Wy1WsnPz8ecV5y0/NPFW1Xog3DdUL8KdV5K+YP4ijM6CWaxrrj5ek33RxovPtatxWj1FW5FXL3JHQvp5q0mkrH+e9FKuG6ozZ7vY4DDgD95/j/X55wiDMEs1sHBQU33RxIvrqzF2PQVakVcPckdK+norSYC9XvRTrhuqCcAhBAXASdKKQc9/z8CrEu4dKOEYBaj2ax9G3Mt8eLKWvwSLfpyOp3ccPvdmlfE1Yvc8UDNbobGxkau/emtVJxxJdbyyoT/XtLdg9E6z6IC9yD3Ac//uZ5jCg0Esxi1jln4pqPXPnc9Ek5fg4ODEa2ImyySMbYz1mc319ev54fLb2JP1yB9+zqYmpGPNYG/l9HgwWhtLFYC7wkhNnj+PwH3woIKjQSyGBsaGuKah7IWI8NsNo9pfY3V2c1eD7zilKU0r10NwsBnOxuZOtCVkOc/Wjx+rZPyfiOEeJUvZ3Ivl1I2J06s0UmiLcaxbi1GitFoHPP6Gouzm70eeGFlDYef8h0+ev0JHI5BsqyZ/HLFrXHXx2jx+LUuUX68588Oz3eNEKJGSvn3xIiliJaxai1Gi9LX2MPXAy+rPRpLdj5Nr6/mpTW/o6qqKqH5pbMHq7Ub6sc+f2cCc3BHQ6VXp9sYYSxai7Gg9DW2COSB33f3HQlpKILll44erNZuqLN8/xdCTAJ+nhCJFJpI98gKReyoOhA9yfYoR4MHq9Wz8GcPcHg8BVFoZzREVihio7u7m4WLlqg6EAPJ9ijT3YPVOmZxP+4lyQEMwJHA+4kSShGc0RJZMZaJ1SOw2WzsbWpWdUCRVLR6Fu/4/O0A/iil/FcC5FGEYbREVoxV4uEVNjc3g8Go6oAiqWgds3hCCGEBvJsnb0+cSIpQjJbIirFIvLzC8vJycDnpaVd1QJE8tHZDzQeeAHYCApgkhLhQhc4mn9ESWTEWiZdXaLVamVBRTusf7ld1QJE0tHZD3QMslFJuBxBC1AB/BGYlSjBFcEZDZEWspGMkUDy9wry8PNa9sCbtdKBIX7Q2FmZvQwEgpdwhhNC+Cp4i7qR7ZEUspGs0WLy9wrFcBxTJR/MAtxDiceB3nv/PJ8YlyoUQRtwD53ullGcKISYDTwNFwLvABVJKeyx56IFwFrBWCznQdb7HAHbs2AFATU1NTC8R3/0dAq2+6j3vdDoTauEHK7N/v/91N9/JI7m5Q+W22Wxx00UwGhsb2bp1K9OnT9c8mctms1FRUcGv769jz549Q/eGerbeZxDuWQTSfyQyhnvmkaJHzy/eMkVTB9IZrY3FFcCVwA9wj1n8HXgoxryvAT4G8j3/3w3cK6V82rME+iXAwzHmkVLCWcBaY+UDpSMlQ8dsTZ/Tbx+ky2HCebCT8cVWHr7351FZ2968elwm9nz6MRWTqsjPsgzJ5ivLd886kat+/DPyyybF3cIPpjv/fv9BUw5ftHTyvWU3k2lwseSbp/DYk39kX7sNY3YB5XkWHqy7K66ex6q6e7jjngcw5pfg7GrjluuuYtmyZZrK46/XJd88hTUvvh7w2Xb12Wna3ci4iir2NzUOexYGgyFk/YpExnDPPFL06PnFW6aWlha++V8XR1QH0h0hpQx/VbwzFWIi7gHzu4AfAWcBbUC5lNIhhJgH3CqlPCVUOtOmTZPbt+szMMtms7Fw0ZJhFnDrutWse2HNkPX79J+e4eX2woDnQ6XT9OpDICUVp1+JJSefhgdvwHzEaYyrnY2rt4PW1x6kujiX9a+sjXiv74WLllB00iV8tq8DhAHb355g5tlL6fjHUzzz5GOc+91LKV24FEtOPsebP+OXb7Zz9DHz6e9oCSh/vHUHDJ3LLCzjnX810PXOi8y/4i562/fx5mM3YS4oo/S0KzHmFtG7832KGjew/uXnRsjV0NDA/PnzI5KtsbGRI+bOp+zsG8gqraKvtZGWtSv4cFNDUOsymF6POO183nlqFV+/YuXQfgpNf3kQhKBk/oW8u3Y1Bcd/l76DB8nMzqTr778fehZ33ngdP7urLqCOOjs7NcsY7plH+jzD1ftYdB8tWmXSSmNjI8+98CIPbcvQXAf0hhBis5Ty6IjuCdVYCCE+5MvJeCOQUs6IJDOfdJ8FVuDeI+M64CJgk5TyEM/5ScCrUsoRs8SFEEuBpQAlJSWz1qxZE40ICae/v5+du5uwFJYNHbN3tFA9qYLMzEz6+/vp7umlm8yA50Ol039gH0hJ5rgKXIMD9Nr2I7KtGM0ZCAGDna2YhWRK1aRhaWmV2VRQQv/AAAaThcHOVnIKinD02KgoK6appR1LYRmuwQHyTS5a+yEzIwODwRBQ/kTorru7m71NzbiEYKC/n5yiUkyZObgGB+hub8ZgMmO2uu91OewY+mxMqZw4Qq6enh5yc3Mjkq2rq4vPdzdhKfpyOxf7gSamTKogPz8/4D3B9JqZk0dfVwe5JROG9jbp398EQmDJK6K38wCm/FKcgwMYTRYc3W1Dz2J86Tj2te4PqCO73a5ZxnDPPNLnGe7ZeYlG99GiVSatdHV10T8wQLsj48v0wtQBvXHiiSfGvbEI2UxKKRsjycyT5pnA6VLK73tCcq8DLgY2+jUWf5FSHhEqLeVZjD3PwrdPf8eOHVx+7fVUnH4luSUT6Ni1Q3kWyrMYQWNjI2ctuWDYjnjKs4jcs0BKGfQDHAIcE+D4ccDUUPeGSHMF7rWldgLNwEHgKaAdMHmumQe8Hi6tmpoaqWfq6+vl7ONPlnNOPVfOPv5kWV9fP+z8iy++GPJ8qHR8j9XMmCUra2dI6yEzZV7FVFkzY1bQtLTKfNixp8m88mo5bfYJw2TzzfeBBx+StUfNDSt/LHJEqpu6ujpZM2OWzKuYKq2HzJS1R80Neu+GDRuikq2urk7mlVdLa81smVdeLevq6jSXx1+vdXV1QZ/ttNknyLzyalk984QRz2LDhg0hdRSJjOGeeaRoeXbR6j5S3nhjuC4PO/a0uNTVp59+OuI6oCeAd2SE7+5wnsXLwE+llB/4HT8auEX6rUYbKV7PQrqjoZ4B/iy/HOD+QEoZchA91Z6FluiKUNc0NDRw5JFHpm001N69e5k1a1ZSo6G0XKc1GioW6zbaaKhAeo0mGsorezpGQ9lsNjZt2sTcuXMTGinl7+V07NpB0+urefnZP8TsATQ0NDB58uS0jYaKxrMIFw1V7d9QAEgp3xFCVEeSkQauB54WQtwJvAc8Huf044rW6IpwsfBaY+UDXed/bM6cORGUILK8Ap33zjxO1A8+Wt1Yrda46SIYVVVVEb8ggpVHy7ONNM1IZYz3cwyWnvd38z///R1uXrEkoZFS/pFzhZU12Ion0NfXF5f0o6kD6Uy4xiLU6E9WrJlLKRuABs/fn+PeVEn3qJVfFemEXuY8+P5uLIVZlC5cmtDfjVpHLb4Ywpz/txDiUv+DQohLiHFSXjoTaI0f4VnjR6HQE/X161m4aAkXXnszCxctYf369SmTJdm/G++M+dZ1q/li7b20rlut1tCKgXCexQ+BtUII3xnbRwMW4OxECqZnxprFohfLVBEZevOAfX83FGUl5Xej1lGLHyEbCyllC/B1IcSJfLkz3itSytSZJzpgLK38qsfZuApt6G3vE9/fjb30O7Suezopvxu1hlZ80LqfxQZgQ4JlSSvGgsWiN8tUERl69IC9v5tNmzbFZU6OInlEuwe3gtFvsejNMlVEhl49YKvVSmZmZsrlUESGaiwUQdGLZarGTKJHiwes9KvQgmosFEHRg2WqxkxiJ5QHrPSr0IpqLBQhSeXYTKxjJspiDo0ak1JEQrh5FgoFVquV2trapL9AYonL19P8Ar2i5gspIkE1FmmIzWZj27Zt2Gy2VIuSUIbF5YPmMRNfi3ny2dcOzRQe7fqKlGj1qxibqG6oNGMs9TFHO2YSryiu0d6NpYcxKUX6oBqLNGIs9jFHM2YSjyiusdIoj4X5Qor4oBqLNKK5uRmnORuXcxD7we4xM+8h0vkssVrMY61RHu3zhRTxQTUWacT2HTv4ZOv77DpwEAZ6mfq1k1UfcxBisZjVZESFYiSqsUgTbDYbd93zAHXW/b0AAB+vSURBVEdecBP7uu0M9nTwn1dX8/tH71MvsCCEs5idTifbtm0b0ZjoZTLiWGC0jwuNJlRjkSZ4rd2KQw6l1OHAbrfT1PIONTU1qRYtLamvX88nn37OT+seHTEmoQZ+k8NYGRcaLajGIk3wt3b7O1owDHTr0trVu7XoHZNYesUVTD772oBjEnob+NW7TiPF6XRyw+13j5lxodGAaizShHSxdtPBWvR6aQaTBQg+JqGXgd9AOjUY0nuK1ODgoBoXSjNUY5FGJNrajdV6jWcUUSIt6fLycga723HYB3A4HPR3tOh2TCKYTlfcfH2qRYsJs9msxoXSDNVYpBmJsnbj4RHEK4oo0d7J5s3v0tvdRW97E/X330V5noUH6+7SpUUbTKeDg4Mpliw2jEZjWnjKii9RjYUibh5BPKKI/GXp2LWDa66/iZefnUpVVVU0xQuY/leWLCe/3MJXz/guXf9+npkzZ8acdiIIplOz2Zxq0WImVeNCehr/0ZMs4VCNhSJuHkE8xlV8ZWnZ9g4fvf40DscgZy25gF+uuDVmD8M3fWE4QPlhc+jb/i/d9pUH02m6j1l4Sfa4kJ7G1PQkixZUY6GI67yCWK1Frywdu3bw0etPYz3hQpAuKsYXxiVaZtjieUVZuugrD2ddBtJpQ0ND8gVNEl59ZGVl0dfXFzerW08z8/Uki1ZUY6GIe6RVLNaiV5Zrrr8Jh2MQpIup1VVYC610xCFaxres9tLv0Lru6ZT2lWu1LvUSmZVovProcZnY8+nHVEyqIj/LEherW08z8/Uki1ZUY6EA9DWvYMGCBbz87FTOWnIBFeMLsRZa4+oBeMu6adMm1r2wJmVlTUfrMpF49VF00iV07Oug7IjF7P/bE1QtvDjuXmWqI7D0JItWVGOhGEJP1mtVVRW/XHEry29bSUcComWsViuZmZkpLW86WpeJxKsPS34xtHaTVTyJrhwrRotlaFOmeHmVqY7A0pMsWlGNhUK36MnbSQTpaF0mEq8+7F3t4HTQ19qIq9eG026Pu1ephzqlJ1m0oBoLha7Rk7cTb9LRukwkvvqwuEzs9oxZdPzjqbh7lXrRsZ5kCYdqLBRRE2zV1khIpzjzRKD3WfnJxlcf8Y6GUsSGaiwUURFq1dZI0kinOPNEoedZ+akgnaztsUTSGwshxCTgSaAccAGrpZT3CSGKgD8B1cBOYImUsiNRcsTD4kqF1ZaMPMPl4Y1aufTyKyg75TLsXe0jolW0puEfCfTM1KlRW5NadOMbw9/f34/NZtOUj/c+u93Onj17mD59esgZ5dE+p8bGRrZu3TosfZvNxo4dOwCoqanRLG+yIq0CldVbjokTJ2KxWIbOea91Op2a09Kad2dn55DuCgoKIvZOAuk+WrmiIVF5xCvdVHgWDmCZlPJdIUQesFkI8VfgIqBeSrlSCLEcWA4kZLW0eFhcqbDakpGnljyam5vpcZkYGHTw8adfgNOBxWUailbRmoZ/JNCnfXbOWnIBWUXlEZdPS57ea7r67DTtbmTFrTdy84olYfPx3revpYWW1jayiiqQvfu55bqrWLZsWVSyBGJV3T3ccc8DGPNLcHa1cct1V3HkkUfx/R/9hH3tNozZBUPrWIWbwZ2sSKtAZd387nvccc8DuEwZ2Hu7mDC5hpJcC0vOOoU1L72OyLZy8eKTEUIM00ukevO9fu+O9+no6cdiLcNua6EwN5P8iqma52oE0r332SZj1d9E/bbjma6QUsYsUCwIIV4AHvB85ksp9wkhxgMNUsppoe6dNm2a3L59e0T52Ww2Fi5aMszial23OqJ4+3ikAdDQ0MD8+fOTmmc88mhsbOSIufP537tXsfrzPPpaG2lZu4IPNzVQUFCgKQ3/vDp27WDj47fy9StWYi2vjKh8WuT2XlN43Pm8u3Y11hMu5Jq5hby808WB+seD5uO9L3f2Yv71xN2ULLoes7UMY287rc+v5MNNDcOs0Gifk1enZWffQFZpFX2tjTSv/V8qK8rZ1+Ok9NQrMeYW0bvzfYoaN7Dqths56aSTYn6WsRAoj10v/pIvdu2h5PQf0vaPpyk4/rvIwQGmTSzmnf+7mXmX3EphZQ3fyG9m9cMPD8kTqby+12Mw8Ndf/JDiM5dROKmGjt07aH/5HsoXXoaloATb355g5tlL6fjHUwHTC6T7cPV5xc3Xh9R/rHqMx7MKlW5hYeFmKeXRkaSX0sZCCFEN/B04HNglpbT6nOuQUhYGuGcpsBSgpKRk1po1ayLKs7+/n527m7AUlg0ds3e0UD2pgszMzKSlAdDT00Nubm5S84xHHv39/Xy2cxcl44rYt98GTicmo2BqdSWAZjm7u7vZ29QMBiMuxyDSYCRr3PiIy6dFbu81plwrvZ0HMBeUUpLhpNNhwtHZFjQf730iM4eDnQcwF05AShcGg4HBjiamTKogPz8/Yh3609XVxee7m7AUVXx53/69GAW4jGbMBaUAuBx2DH02JpaXDss3EL76xeVkQkU5eXl5Ie+JhEBlPdi2B4fThamgBEdPB6b8MlyOATIsZvoONJNbVIrBnEGB0UFb+/4hvUSqN9/rB/t6ONh5AJN1PAaDwOWSOGz7MGbmYsopYLCzlZyCIhw9toDpBdT9AfeztVgsAeWqKCsOq/9Y9BiP33aodE877bT0aSyEELnA34C7pJTPCSFsWhoLX5RnkRhLseikS7DkF2Pvag9odXuvu/Syy1j7qR2n3T5ktQERW4jevuVzv3tpVOVTnkVo3SQy0kp5FonRox49C6SUSf8AZuB14Ec+x7YD4z1/jwe2h0unpqZGRkN9fb2cffzJcs6p58rZx58s6+vrU5LGhg0bkp5nOFatqpN55dXSWjNb5pVXy7q6uqCyPPzI6oCyRCtnLOXTcq/3mmmzT5B55dXygUce05SP976J02ZIc+F4mT91VljdRFOOurqRuq+vr5c1M2bJvIqp0nrITFl71FxZX18fcd1JFIHK6i1HzsRp0lw4XlbPPEHOPv5kWVdXN3Ttw4+sHqGXSPXme/2EKTUyu7RSWmtmy+zSSjlhSo087NjTZF55tZw2+4Sw6QXSfSi54q3/RP22g6ULvCMjfG8n3bMQQgjgCeCAlPKHPsdXAfvllwPcRVLKn4RKKxrPwoseoqEi8SzilWe4tL3Wt9FiGeYxBIpy2rx5MxMmTAgoS7RyxlK+SKOhPv74Y+bOnavJc/FGI2VmZuoiGiqaupMooomG2rt3b0DLPF2ioRKh/2RGQwkhIvYsUhENdQxwAfChEGKL59hPgZXAGiHEJcAu4NxEChGPWO5UxIMnMk9vBE1hZc3QMZtPBI1/ZMVN111NbW1tXOWMdcXacPf6XvPFF1+EvT5QNMnpp58eF1kCUVVVNeJFZbVamTNnTsRpJYtAZQ1UDt9rm5ubNaelNW+r1Tosz0j1H0zmaOSKhkTlEa90k95YSCn/CYggp+PTCaiIilBrFQWK29/b1Kx5nkI6olaFVSi+ZHRst6WIC961eVrXreaLtffSum710Jo8geL2MRiDWoijgUBl9q5+qlCMNdRyHzGSbmvvhCPYWkWBvA6KnbpdITUez0WtCqtQfIlqLGIgXdfeCUegPs5AK6ROuO5qXTaQ8Xougco8lleFVYxtVGMRJWOxP9vf69iyZUv4m5JMvJ9Luu05oFAkCtVYRMlY3eVM7yuCJuK56L3MCkUyUAPcUeLbnw2o/mydoJ6Ldmw2G9u2bcNms6ValKgZDWVIF5RnESWqP1ufqOeijdEw3jYaypBOqMYiBsZyf7bNZotoP4hE5B9M72P5uWhhNIy3JaMMoy3SMVZUN1SMWK1Wamtrx1Rlqq9fz8JFS9i5u4mFi5awfv36lOR/4bU3B81/LD4XrYyG+SOJLoOWOjbWUI2FIiJ8LTpLYRmlC5ey/LaVSesz9s1/8tnXJj3/0cBoGNf5/+2de3hU5Z3HP7+5JZPrJIQQkABa71pvi1W0tXirl1WkLY/Lqi3YVq2tWqviglgoqF2rWLdYq4/F7eqqba2rkdZtxWLtZVuplxYVBQQEk0DumVwnmZlzfvvHORMDThISE+YMvp/nyZM5lznzPe95Z36X83vfM5bnYPpYekwayjAsdvfoWvZ5FdjHtQptNNkf7uuM5TmYPpYeYywMw2I3j640/CGPbqzzvGZU9eiwP9zXGatzMH0sPcZYGIZFf48uXj6XhjU/7/Po9kV1yv7gFXuF/WH8yFicg+lj6THGwjBsUh7dyy+/vNuTzvZVhc1H9ShT0Y9lWaOqy7D/sD9EXqONMRaGERGJRMjNze37Eu3rPO9IPcr+0c/ls89GRExtviEt+0PkNZqYaijDqJANFTZ7VrkEistMlYvBsJeYyMIwKmRDnnfP6McXCPXV5ntJp8HgRYyxMIwaXs/z7lnlYifjnot+DAavYoyFYVTxcp53z+gnOftsz0U/BoNXMcZiP2AsxjZ4ZV6c0dbRP/qpra01N7fHCK/0H8PoYYxFljMWYxu8MpvnWOlIRT/ZNBdSNuGV/mMYXYyxyGLGYmxD6pgln7kUfyiEFY9nZEbS/WFm1I8ju80dll9Ey/Z3uOk7t/GiuW5ZjzEWWcxYjG2oq6ujPRbnvWcewpcfwe6KMi4/uM8rhsz8PNlJ6rp1Ne9i3RP34suPEKutpqqqivnz52danuEjYMZZZDFjMbYhHA6zs3oHkc/OY8L51xH57Dx2Vu8gHA6Pluy9IhvGbXiZTD1BrqKigkR7I+ufe5RxZ11B2dlXUTpzHitXPWrGs2Q5xlhkManqnoY1D/HeM/fSsOahj1zdE4vFqDz4CFCbWFM1qE3lwUcQi8VGUfnQjMW5fVzI5LMYIpEI110xD7VtLCtJvGUnhx8znWBhmblHlOWYNFSWM9pjGyoqKsj3JamcWEKoqIx4exMtbyc/skc/kuoYr4/b2FcMp+28cK9n9uzZrFz1KCWRHEomHUZPa72JCtOQbRVjxljsB4zm2Ib+YxFklEZif5TqGC+P29gXDLftvHCvJxKJsGL5rSxcdiedHh3Nn2mysWLMGAvDhxhNjz4ajbJgyW0UnTib0mlHEO9qN1VNe8lglUUD4ZVnMXg9Kszk2CQvRH8jwRgLQ1pGy6N/pqqKLdurCSfWYL/wJEefM9fMx7SXDFZZNG3atLTv8dIcXV6NCjM9NskL0d9IMMYiixjMc/Fi/jMajXLfqkcpnTmP/GnHYnW2sP65+5lWVmDy13tB/8qi8nO/ib+glK7t61m56lHuXrZ4wPeNtlcfjUbZvHkzAIceeuhux0v1u3A4TCwWG7JvgvNjGY/HWbt2Lc3NzZx00klMnTp10OONVv8eyKv/5Sc+MaD+dMfo6ekhGo3u1bNcduzYwYYNGzjqqKOYOnWqZ6K/4WKMRZYwmOfi1fxnXV0dwcIyDj9mOlu37wB/ALVtrrtinmcMmpdJVRZ9+477sKwklltZ1NryJolEYsj3jkYbr137ItcsWExdRxyru42JZREeuPcuzjjjjL5+1x6Ls7N6B5UHH0G+Lzlg34zu3IbPH0TyS/janHO5+dblhMYdgMSiLL/5Oo477vi0x7v4wnN48lfPj0r/TufVb7MDXDDnEvLKDhjy+Knz+cplc1ny7xdz59KFTJo0acBI4SerHua2e36Ev2g8VnsjS2+6hhtvvNEz0d9w8JSxEJFzgR8CfmCVqt6ZYUmeoL/nklsygdad27lpye19uesbb11O/qe/ROnEqXS37Orblup86byy/t5OW1sbf/3rX5kxYwZTpkzp8yInTJiQ1tsa6ElzKQ+0o6ODwsJCcnNzibXUUdLbzrGfPIrWndsJj8vjyCOP7Ku5/yje4kDeZmp9PB6npqamz6MbKZnMbw9UWRQMBj/S56Y893A4TH19PZA+aliw9Ha6Dz+f8kmHkuxspnHtw1y/aAn3fk9ZsOR2xp8+n61P/ZiSmZcTCxdQOe0AblpyO3erArBgye2Un/N1JJjLuz+9ncLp5+MvKMVfUEKgZCLFp/wroCy9ayWlRQVMOutymv7wNGUXLqDbtigrK2DZPcs4dvZVlH7iWLqizVx/y1JWrSzo05s6p6amJjZs2MCMGTM45phjPnSu8XicjRs3EmvZSev7m7GtBB3N9VRvfosTv7QQfzBErLVxtxHn/a9TW1sb1y/8DpPOuZJQSRnln7vSiUoe/UlfpJD6fsZad7Fp0yaWr1hJ2ax/I6d0Er0tO/nuiruYM2eO5+/ppMMzxkJE/MD9wNlADfCKiKxW1bczqyzzpLyhRCCfTW9uAH+Apvo2qqqq2PD2O2yqbaK0uZtt9esJ5eTS7m6bP39+2qjjtdf/3uftdNVuQYM5BIsnEG9eTFFxMRqO0Ntah/j8TDvs6N28xYGeNLd27Yt844abqalvwg4VIL2dkOhhXPkEtj+wkMqDjyDZ3oDPH+TapSv6vMyiCZUj8hYHiqZS6+ta2qirrSa3pAK6W/s8uuGS6fz2QJVFPt/wh0ilPrfTDlCz5R0iZeU01+9CbYuckgoqCkPcv+KOPi11dXV0JHwkAvnEG3civgCxeJzNm6u5Zsnd1G6vpuuVF+iKNpLc+BeSbQ0UfmY2W9+rZfZlV+DLKybR2Ur9uJcJFJaSzCnEVzAOW22wLeyeDtr//r9YsXYsW6nrTFC/+mF8oVyCPT2IP8i7O1tJ+PPY8MfniD//JOGJh9CxZQeXXnsLJbk+Lp51Dk+ufp6a5g4aa7fjy8lH492cc+p06tt7+s41J+inrbObcOkk4tE6Nm68EX/xROzuKJroYd1jd2Mh+MLFSKyVqqoqKiun9F2n9vpqemJdRO1c6p55iC8e/i0KxlfSmBchFotx59KFfPMmJwJLfXeuunkZiUABPb1xept2gW2RDBbyxBNPsGjRIs/e0xkIzxgL4FPAFlXdBiAiPwcuAj72xqKiooJERxOb3ni1L/cvPh933/cgO2p2IvnjAD/BsmnEqt8AYOVPHuH000//UC71hsXL2bptGxVfvBUJBOl8/DuUXXATodKJNFTdif/Y8yiefAi7fvMjCk+4kN5xE6icVNqX1+1/vEBRXd/6BUtuo7FbKTrtK+ROOYrell1EX3qYbkJMv/Qq6tY+QjivgMkXXEMov4h3H1hM0fTzOerUmfS01g+rGmSwvPOi5XdSeMpcNvziPsq/cCsChILCMtejG06EMZZzbw3nmOm80JdeemlEn1t65ldp3dVK+dEXseu3D5I/4xK63nqBCbNuJFa3dbeoNBwOU7fjXcKVUcJTjyPZ0YRtK76CMg668Bq6XvsL23//GCWnf5Xw1E+SaK1j85ofY/V0Me2SZfjyS2ne9Aqt63/DlFnfpqkrSndTLTkFxVg9PiKnzSN84AkkmqtpeOYOimdcgi8nj5YXHkACOYTKKult2IYVayfv7KsoCOZS//QdRE69BJ04lcKSHJavuI3j5y1Bd7Yw/lNhon96hKIT5vHbNT/mlKu+R2tbL6WHnEntM/dQ/vlbCEYm0FO9gejLT3HA7AWIneD9qnuId7dRcfFSAgVldG97nXvuX0UwJ8Sk875BbskEXv2/l2h/ZTUln56LP7eAWFsrrbtiffcaKioqCIdzOeqkWWx86VkiMy+nM9qE/vlnWF2t7nnWkuxo4rGnnuXqq6/OKkMBIOqGi5lGROYA56rq19zlLwEnqeo1e+x3JXClu3g08NY+FTq6lAFNe7nvOPzBKb5gDmpb+HIKeq3uqE98/pA/P6JWd5tP/EE00YPk5PdqvNvWRG+NBHMm+4vGJ1MHsdobQ6qEgqUH2HZvl9ixdl8gMhGsBFZ3G768YrAt2+7p9PnzI6iqjWrM6mj07Xk8u6czqPGYaqK3hkCoUvzBUKBwnKNDFaujEbUs2x8uiiW7Wvwigr9ofIJk0mf3doZ9+SWgGkOwrfbGgCZ6twE9e9EWuRLMOWiP8wqk9PnyImhvdzhQXK5qJQTx28loHZqIbQXah9H+A33O3uocy2MOp+988LmF421EwuIPYrU3+Hy5hdi9Xfjyii1ArPaGuCZ6t7pacvEHDhHxhSSYg1oWvtx87HhM/TkF3Yr67e72XH/hOAUEEbXaGwURDUQm2oBoMu6zOppBxFY7CWoL4rNQDQQiExDxuX2lCV+4CBHB6mwBXwDx+1HLaSZ/uAgJhEh2NOEvKLURH5qM99rd7Tn+wtIk4gv5gjkk2xrw5eSr1R0Vf0FpHPEFUBurs8Xp56qgFlZnC768YlsCOSTbGnzYSQKRiSCCWgk72VafEBH1F41PoPgQCdtdrUhOflz8wVCyrV5Quxfbeh/o6GvfvBLb7u0M+4vKUSvu00QcuzuKBEKobYGqqtq9JOOpNs4Uh6lq4XDe4KXIQtKs+5AlU9WHgIcARORVVZ0+1sLGCqM/s2Sz/mzWDo7+RFN1VuvP9vYf7nu8NDdUDVDZb3kysDNDWgwGg8HQDy8Zi1eAQ0TkQBEJAXOB1RnWZDAYDAY8lIZS1aSIXAM8j1M6+5+qumGItz009srGFKM/s2Sz/mzWDkZ/phm2fs/c4DYYDAaDd/FSGspgMBgMHsUYC4PBYDAMSdYaCxG5VkQ2icgGEbmr3/pFIrLF3XZOJjUOhYjcJCIqImXusojISlf/GyIy8FzUGUJE7haRja6+Z0Qk0m9bVrS9iJzratwiIgszrWcoRKRSRH4vIu+4/f1b7vpSEXlBRN51/5dkWutAiIhfRP4uIr92lw8UkXWu9l+4RS2eREQiIvKU2+/fEZEZWdb233b7zVsi8jMRyR1R+6tq1v0BpwO/A3Lc5XL3/5HAeiAHOBDYCvgzrXeAc6jEuZm/Ayhz150P/AZnzMnJwLpM60yj+3NAwH39feD72dT2OMUTW4GDgJCr+chM6xpC80TgBPd1IbDZbe+7gIXu+oWpa+HFP+AG4Ang1+7yk8Bc9/WDwNWZ1jiI9keAr7mvQ0AkW9oeOAB4Dwj3a/f5I2n/bI0srgbuVNVeAFVtcNdfBPxcVXtV9T1gC840Il7kXuBmdh94eBHwqDq8DEREZGJG1A2Aqq5R1dTo45dxxsNA9rR937QyqhoHUtPKeBZV3aWqr7uvO4B3cH4ELsL5IcP9PzszCgdHRCYD/wyscpcFOAN4yt3Fy9qLgNOAhwFUNa6qUbKk7V0CQFhEAkAesIsRtH+2GotDgc+4YdQfROREd/0BQHW//WrcdZ5CRGYBtaq6fo9NWaG/H1/BiYQge7Rni860iMg04HhgHTBBVXeBY1CA8swpG5T/wHGMbHd5HBDt53R4+RocBDQCP3XTaKtEJJ8saXtVrQVWAO/jGIk24DVG0P6eGWexJyLyOyDd00AW4+guwUnVnAg8KSIHsZdThuwLhtB/C04650NvS7Nun+sfTLuqPuvusxhIAo+n3pZmfy/WZWeLzg8hIgXA/wDXq2q746B7GxG5AGhQ1ddEZGZqdZpdvXoNAsAJwLWquk5EfoiTdsoK3HspF+GkhqPAL4Hz0uw6ZPt71lio6lkDbRORq4Gn1Um4/U1EbJyJ1TwzZchA+kXkkzgXbr37ZZ8MvC4in8Ij+gdrewARmQdcAJzpXgPwiPa9IFt07oaIBHEMxeOq+rS7ul5EJqrqLjdd2TDwETLGqcAsETkfyAWKcCKNiIgEXO/Wy9egBqhR1XXu8lM4xiIb2h7gLOA9VW0EEJGngVMYQftnaxqqCifnhogcinPTqQlnepC5IpIjIgcChwB/y5jKNKjqm6parqrTVHUaTmc8QVXrcPR/2a2KOhloS4W6XkGcB1T9GzBLVbv7bfJ827tk3bQybo7/YeAdVf1Bv02rgXnu63nAs/ta21Co6iJVnez29bnAi6p6KfB7YI67mye1A7jfy2oROcxddSbOYxM83/Yu7wMni0ie249S+off/pm+Wz/CO/wh4DGc6clfB87ot20xTrXLJuC8TGvdi3PZzgfVUILzAKitwJvA9EzrS6N3C07O/x/u34PZ1vY4VWebXa2LM61nL/R+GidN8Ea/dj8fJ/e/FnjX/V+aaa1DnMdMPqiGOgjHmdiCkxrJybS+QXQfB7zqtn8VTgo8a9oeWAZsdH8v/xunYnHY7W+m+zAYDAbDkGRrGspgMBgM+xBjLAwGg8EwJMZYGAwGg2FIjLEwGAwGw5AYY2EwGAyGITHGwmBwEZHOYew7U0RO6bf8dRH5svt6vohMGsHnbxd3BmKDwWt4dgS3weBxZgKdwF8AVPXBftvm49S0e3VUssEwbIyxMBgGQUQuBG7FGQjaDFwKhIGvA5aIXAZcizMythNnkOV04HERiQEzcGaJna6qTSIyHVihqjNFZBzwM2A8zgAp6fe5lwHXuZ+7DviGqlpjf8YGQ3pMGspgGJw/Ayer6vE405nfrKrbcZ4BcK+qHqeqf0rtrKpP4Yz2vdTdFhvk2EuBP7vHXg1MARCRI4B/AU5V1eMAC8dIGQwZw0QWBsPgTAZ+4U4WF8J5kMxocRrwBQBVfU5EWt31ZwL/BLziTjYZxrsT1Rk+JhhjYTAMzn3AD1R1tTvF9ndHcIwkH0TxuXtsSzffjgCPqOqiEXyWwTAmmDSUwTA4xUCt+3pev/UdOI84Tcee27bjRAoAX+y3/o+46SUROQ9ngjpwJqabIyLl7rZSEZk6Qv0Gw6hgjIXB8AF5IlLT7+8GnEjilyLyJ5xp8FP8Cvi8iPxDRD6zx3H+C3jQ3RbGmfXzh+4x+t+kXgacJiKv4zwM630AVX0b56b6GhF5A3gB5zncBkPGMLPOGgwGg2FITGRhMBgMhiExxsJgMBgMQ2KMhcFgMBiGxBgLg8FgMAyJMRYGg8FgGBJjLAwGg8EwJMZYGAwGg2FI/h+u4XexokL27wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = city_list_df.plot.scatter(\"Lattitude\",\n",
    "                      \"Cloudiness\",\n",
    "                      marker=\"o\", \n",
    "                      facecolors=\"DarkBlue\", \n",
    "                      edgecolors=\"black\", alpha=0.75) \n",
    "plt.ylim(0, 110)\n",
    "plt.xlim(-60,80)\n",
    "plt.grid()\n",
    "ax1.set_title('City Latitude vs. Cloudiness', fontdict={'fontsize': 10, 'fontweight': 'heavy'})\n",
    "ax1.set_xlabel(\"Latitude\", fontsize=10)\n",
    "ax1.set_ylabel('Cloudiness (%)', fontsize=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Latitude vs. Wind Speed Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Windspeed (mph)')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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EED/EmcguDxDaR0ops6Ism0IRU0pKtnDPspUIj6y6kydP9ru950ROrvTs85eu5J0JE5TFoOizhJL76LfAD6SUO6ItjEIRL3rygjebzYg0Exm5QwHIyB1KbZoJs9mslIKizxJKSGq1UgiK/o6vF7zQXvAuvF1LBQUFyFYLzbUVADTXViBbLRQUFMT+AhSKCOHXUtDcRgCfCyFeAl4FOlzrpZR/i7JsCkXM8HzBuywFzxe8P9eSmshJ0d8I5D76gcfvVmCKx38JKKWgiDqxiuwJNFNfINeSmshJ0d/wqxSklNfHUhCFwptwO357i78XfLC+AzWRk6I/EUr00bHAIzjnV5bAx8CdUsp9UZZNEQH6agx9vCJ7fL3gg7mWIkVfvVeK/kUo0UcvAI8C07T/P8I5v/LZ0RJKERli3dKOJIkU2RPItRQp+vK9UvQvQlEKQkr5Z4//zwshbg26kxDDgOeAAsABrJVSPiKEWALcCNRqm/5aSvn38MRWBKOvx9DHqnUeKtHsOwh0rxKdgWbdDITrDUUpvCuEmI/TOpDAVcCbQojBAFLKI372swFzpZTbhBCZwFYhxD+0dQ9JKVf1UvaEIFErSSK1tHtCLFrnPZEpGucPdK8SmYFm3QyU6w1FKVylff/Ca/kNOJXEsb52klJWAVXa7yYhxA5gaA/lTEgSuZIkWku7JwyUyJ5A9ypRFUNft0TDZSBdr5BSRv8kQowA3gdOBO4CrgMagc9xWhP1PvaZBcwCyM3NPX3Dhg1RlzMc7HY7u/fsJWlQDrokIw6bFVtDHceNPha9Xt9l2+bmZjIyMmIuY1NTExWVZtDpwWFnaFEBmZmZYR8nXvJHgr4iu797lajyt7e3s/9gJcbsfPcya301I4YVkZKS4l6WqPKHikv+UK830Zg0adJWKeUZ4ewTVCkIIfTA94EReFgWUsrfhXQCITKA94D7pJR/E0LkA3U4rYzlQKGU8oZAxxg7dqzctWtXKKeLGTt37uTaOYsYOW2Oe9m+jQ+x7qFljBs3rsu2paWlTJw4McYSOomEeyue8veWviS7r3uVqPJbLBamXDGjS8u55p21vPPahi71LFHlDxWX/KFeb6IhhAhbKYTiPnodaAe+wtlhHI5ABuCvwHrXCGgpZbXH+ieAN8I5ZqLQV9wzKoa+79CX7lUi9vlEk4F0vaEohWOklCeHe2AhhACeAnZ4WhVCiEKtvwGcYa5fh3vsRGAgVRKFwhcDpc/HxUC53lCUwltCiClSynfCPPb5wE+Br4QQX2jLfg1cLYQ4Faf7aD/dO7D7DAOlkigU/uhL1k0kGAjXG4pS+ATYKITQAZ2EOJ+ClPJf2rbe9KsxCQOhkigUioFDKEphNXAu8JWMRaiSQqFQKOJGKPMp7Aa+VgpBoThKuNN2KhR9hVAshSqgVAjxFl3nUwgpJFWh6G8k8qBFRexwhRCnpqbS1tbWb/oVQ1EK+7SPUfsoFAOWgTSyVeEfV8Ogsc1K5cFyho0+nnSdrV80EIIqBSnl0lgIougfJGouqEjR13NKKXqPq2GQfcE17Nu4lvxp92CVDoYVZveLBoLfPgUhxFohxEl+1qULIW4QQlwTPdEUfY2Ski1MuWIG185ZxJQrZrBly5Z4ixRx1LzMClfDQG80oks3kZpXDPokjFk53eb17osEshT+CCzUFMPXOFNdpwDHAVnA08D6qEuo6BMMFLdKsGk7+7OVpHDiahjYrVYcLRbaaspBOrA21vWLBkKg6Ti/AGZouYvOAAqBNpwjlBMrEZEi7gwkt4qvQYuq83ng4NkwGJJuoHLj/QwbfTxH/mfrF1kNQulTaAZKoy9K/2Egthj7Si6oSOE5aNGflfTyqFH9KipFcRTPhsFAjD5ShIGvFqNOF8pwkL7NQM4F5ctK2utI4rLpPyYtZ6iyHPop/TWbgVIKEcRfi/H+RXfHW7SYMFBzQXlbSRbzAQ7t2cG5M5eQPXxMv+1fUfRPlFKIIP786p2dnXGWLHb019ZTILytpLYjZoqGFZM9fAzQv/tXFP0Pv0pBCPE6zkymPpFSXh4Vifow/vzqBoMh3qIpooy3j/nKn91Ic20FKdn51Ffup7Oprt/2ryj6F4EshVXa9w+BAuB57f/VOFNeK7zw51cfCH0Kiq5W0srF87ll3r2Ym6zYWxsozDGxbds21a+gSHgChaS+ByCEWC6lvNBj1etCiPejLlkfxZdfvbS0NN5iKWLMhAkTSE1N4ZQLf8TgEcdjbWlU/Qo9YCBG8sWbUPoUcoUQx0op9wIIIUYCudEVq28zEP3qiq6YzWYMWbkUnHAWAMa0TNWvECZq7Ed8CEUpzMGZJXWv9n8EfXi2NIUiFgy0cRuRZqCMkE9EQhm89rYQ4jhgnLZop5SyI9A+it6hTOa+z0AetxEJBtII+UQjqFIQQqQBdwHFUsobhRDHCSHGSinfCLLfMOA5nJ3UDmCtlPIRIcRg4CWcFsd+YIaUsr53l9F/UCZz/2GgjtuIBMrSih+huI+eAbbinJIT4BDwMhBQKQA2YK6UcpsQIhPYKoT4B3AdUCKlXCmEmA/MBwbG6K4gKJO5/6H6l3qGsrTiRyhKYZSU8iohxNUAUso2IYQItpOUsgrnrG1IKZuEEDuAocAVwERts3U48yoppYAymRUKT5SlFR9EsKmXhRAfARcDH0opJwghRgF/kVKeFfJJhBgBvA+cCByQUpo81tVLKbN97DMLmAWQm5t7+oYNG0I9XcLR3NxMRkZG0O3sdju79+wlaVAOuiQjDpsVW0Mdx40+Fr1eHwNJfROq/JHGbrfT2dmJwWDo8fXHS/ae4n3N3vJHokxiSV8rf2/6uvyTJk3aKqU8I6ydpJQBP8AlwHs451NYj7MfYGKw/Tz2z8Dpfvqh9t/itb4+2DHGjBkj+zLvvvtuyNuWlJTIMy+8RJ71nSvlmRdeIktKSqInWIiEI3+k+Oc/I1MO8ZC9p/i6Zk/5I1UmsaQvlb8v+rr8wOcyxHe16xNK9NE/hBDbgHMAAdwhpawLReEIIQzAX4H1Usq/aYurhRCFUsoqIUQhUBOa+hoYKJM59n0riRDtFSyZoupvUsSKoPkXtP6D7wKnS2fEUZoQIqjrSNvvKZyT8vzOY9Um4Frt97XAa2FL3c8xmUyMGzduwD7svvpWojXNYaJMIervml3JFGNZJoqBTShJef6IM/Loau1/E/BoCPudD/wUmCyE+EL7fA9YCVwihNiN0zW1MnyxFf0Fi8XCzp07sVgs7mWxmgfZs/U9ctoc8qbMYv7SlV1kiRX+rtmVTFHNDa2IFaFEH50tnR3M/wGQUtYLIYzBdpJS/gunu8kXF4cho6Kf4m9MRqzCERMp2itYMkUVoqmIFaEohU4hhB4tjbYQIhfnYDSFoscE85HHom8l0QZITZgwgTUPrgBgzJgx3ZIpJnJ/U7T6ZRKhv2egEYpS+D2wEcgXQtwHTAcWRFUqRb8nlFZ6tAd+JVLrO9SR7Ik4GC5ao/DV6P74EEr00XohxFaOunymSil3RFcsRX9vISVKKz0RWt+BrKZEJ1pRUSraKn6EOh1nGuByIaVGTxwFDIwWUiK10uPd+g5kNSU60eqXSaT+noFGKAnxFgFX4hxvIIBnhBAvSylXRFu4gchAaiElQis9EQhkNSW6YoiWxZcoluRAJBRL4WrgNCllO4AQYiWwDVBKIQxCdQcNtBZSvFvpiUAiWU3hEi3Z+3KZ9HVCUQr7gRSgXfufDHwTLYH6KoFe+k1NTUy5YkZI7qBEaiG5rslut8f83L7oz/0s4VpNiVQW0bL4lCUZH0JRCh3Adi3ttcQ54OxfQojfA0gpb4+ifH2CQH0AFouFikpzyO6gRGkheV7T9VMvQQgR136NgdLPEsp9TsSyiJbFpyzJ2BOKUtiofVyURkeUvkmwPgCz2Qw6fVjuoHi3kLyvKSnLHNd+jWDROQOpJTmQ+pwU8SGUkNR1rt9CiGxgmJTyv1GVqg8RrA+goKAAHHaa68JzB8WzheR9TbokozvPTjwS0vkr442vvspjz7yQUC3maDPQ+pwUsSeU6KNS4HJt2y+AWiHEe1LKu6IsW58gWB+AyWRiaFEBNS/8oc90mHlfk8NmjVq/RiiuEF9l3NlYyx+efI6i7948oFrMidTnpOifhOI+GiSlbBRC/Bx4Rkq5WAihLAWNUPoAMjMzeee1DX3GzeF9Tbapl0RFkYXqCvFVxrffeC2PvfT3AddiTpQ+J0X/JRSlkKTNezADuDfK8vRJQukD6GsdZp7XVFFRERW3TDiuEO8yBvj9k89Re2APmXnDaKo5SGdT3YBoMce7zyneJFLklbcsiSRbTwlFKSwDNgP/klL+WwhxLLA7umL1PfraSz8UXNcUrQFU4bpCPMu4pGQLLU2NlD21GLshDZ21mWPyc9i2bVu/71eA/lnfQiGRIq+8ZZnxg0vZ8PrmhJCtN4TS0fwy8LLH/73A/0VTKMXAoKeuEJfbaeT//ZLO/RXY25pp/s+bjPjBzQOiX2GgkkiRV96yWMwHWLZ6PufOXEL28DF9uo/Lr1IQQvwBLV22L9T4BEUk8HSFpKam0tbWhsViCWnUtzErB31aExnDx9P+zafojdGNklKEj91uZ+fOnRFxpyRS5JW3LMasHPRZueiNxrjL1lsCzbz2ObAV52jmCThdRruBU4HEGOI6QPE1W1lfxmQyUVFRyZU/uzGkaTFdbidrYx3YbbTVlONosWC3Ri9KShE+JSVb2L1nb8SmOk2k2ee8ZbE21mFvrMVutcZdtt7i11JwjU8QQlwHTJJSdmr//wS8ExPpFN1IJJ9qpAjXLeDpdjI6kji4ZwdFw4qp/2C9isRJEFz3dNbs2YycNici7pREirzyJcviebfy0qb1WPp4VFgoHc1FQCZwRPufoS0LiBDiaeAyoEZKeaK2bAlwI1CrbfZrKeXfw5R5wJJIPtVI0hO3gC+3k6eLItHyNvVFLBYLZWVlwNGZ4Hxt4yvaxnVPdUmRdae47runXIHk9yVbbyKEPPf1FQU2c+bMARF9tBL4jxDiXe3/RcCSEPZ7FlgDPOe1/CEp5apQBVQcJZF8qi4iEYLX0wFZ/iJwEi1vU1+kpGQLN9/1K6rqLOjTBlGQaeTRVfd1KcdAVqvrnjpskXenbN26LWCuMbPZzK5dZdz3uzXdtumNpR1oTnEX/SEqLJToo2eEEG8BZ2uL5kspg8YoSinfF0KM6J14Ck8SbTRrpFxZkXQLJFrepr6IxWLhl4uWU9suKJq+AH3GYFr2f8m8RSvYopVjMKvVdU/Ldn/Dvlf/EjF3SqDzupSFIzmTsq+2ccJ3r2XEOZe6t3l51KgeW9r91Ur3hZDSb4DR0Y2EGAoU46FEpJTvh7DfCOANL/fRdUAjzo7suVLKej/7zgJmAeTm5p6+YcOGoHImKs3NzWRkZETkWE1NTVRUOpPs4bAztKiAzMzMiBzbH77kt9vt7N6zl6RBOeiSjDhsVmwNdRw3+lj0en2X7To7OzEYDF2W+yKcbf3R3t7O/oOVGLPzARikt1Fbd5gRw4pISUkJun8kZIgkkaw7odLe3s7e8oN0SoFhUB4ADpsVXZuFY4cfQ0pKSrdyBrDWV3cr56amJgwGQ8TK0995hw8t4MDBCpIG5YAuibaWFhytDWTkFiJ0eqz11RTl51BZXRdUZk9c5R/q9SYakyZN2iqlPCOcfYIqBSHEA8BVwHbAoS2WUsrLgx68u1LIB+pwhrouBwqllDcEO87YsWPlrl27gm2WsJSWljJx4sSIHS/WoyZ9yb9z506unbOIkdPmuJft2/gQ6x5axrhx44D4dIpbLBamXDHD3aL7dpaZtY89xjuvbQhaVonYie9Z9rG67xaLhcnfn8b+umbyvnOL21IYXP4uW974m9tS8Czn5toKat5Z262co1H3fZ13zYMruG3xKkZOm4PNZuPLr7Zj+fRvnDn1enR6AzXvrOXl557gyp/dGFRmT1zyh3q9iYYQImylEEqfwlRgrJSyo2diHUVKWe36LYR4Anijt8cciCSC3zKYKyte5nZP8zYlunsglgrLZDKxavlCZs/5FZWvrHD3KaxadZ+7LOIVCeTvvGPGjOlSHwszjVRX7ab6/ZfQd7Z4yIypAAAgAElEQVSycvF8iouLeyxzIkU+RZtQlMJewIBzsp1eIYQolFJWaX+nAV/39piK2ODdSg32kMSzU3zChAmsedA5W2xTU1NIL09/8paVlZGVlRXx1nk4rf54KKzJkyfz6Xv/DBh9FK8cTP7O610fn3/8EXcjxRWl1BuZw4l86suEohRagS+EECV4KIZgI5qFEH8BJgI5QohDwGJgohDiVJzuo/3AL3omdv8kUZNp+ZtONNADFq9Oce8W9cJ5t4W0ny95G6sPctOcuzFk5QZtnYdz78Jt9cdLwZpMJs4666yg28RrnEAwJbV16zZu/eUCn9FCPZU5UORTfyEUpbBJ+4SFlPJqH4ufCvc4A4VE9GdD8OlE/T1g8TC3XS3qwRfPxJiVg7WxjopKc9C0Gb7k7Wyqw2HvpOh7c4O2zsO5dz1p9Sda1Fki46qP0bCuEt3FGCnCmnlNER0SubL1ZDpRF7F2L5jNZpodSdRX1UNNE9ht2POTQm5Re8rb2NjIbYtXBb1uX/du3qIV/Ckjw6fLpaet/puv/zG/f+LRLlZLvOtGIuMq55TsfFpbW0nJzu91XqxIWWyhDAqMJ4ES4m2QUs4QQnyFj8R4UsqToyrZACIRB6W56Ol0oi5i6V5ITU3l0J4d5J80ldScYbTVlGPtaCM1NTXkY3i2NENpnXvfu86kdPZVN/DzuYtI0Tm6WQ3htvo9XXcIweyrvsfUqVPjXi8SnYKCAhqrD/L5h6UYsgvprK8itfpgr6yrSFhsJSVbuPWX92JusmJvbaAwx8RjD/02IbwCLgJZCndo35fFQpCBTCK7B0ymvjOdaFtbG0XDijn83joa0004WiwYT76Wtra2sI8VqvvL896lZOez67+fI3Q6Rv/fXVhbGrtZfOG41Xy57v74zFqmTp3aswIaYDjsnTR+vgnDoDw6G2pITgk+JisQvXWJWiwWfrl4BW3Hf4+iEadgbz5CzduPMm/hcvegwEQgkFK4SgjxIfAfKaUtVgINRBI13K28vJxPP/2U1NRUXn7uiW75hRKNgoICslKNFE+5Hr3RiN1qRSc6aGxsDKlfwROLxUJRUVHQ6/a8dx36FI7s+h+nX3UHxrRMjGmZPi2+UN1qvXHd9YRAneX+1pWXl7N9+3bGjx9PcXFxt23jhdlsxlR0LOMv/TntjYdJyRpCxeYnI5Z7KVyXqMVi4aOPPqJTn4YhuxC9IRl9diH69Gya21spKysL2qkfKwIphWOAR4Bx2pzMHwEfAh9LKY8E2E/RAxJtisUHV61myW8fwZEyiPvmzuKWu+7m2cfXuAemJWKklOcLWqSZsFTuxXHTz7lt8aqwOu99dRy7rtsXnqGKN825m/QhhUDgfD+huNV667oLh0Cd5f7WPbhqNctXr0GflYu9sZbF827l1FNP61H0V6Rxp1dvaSSrYEREyy7YvfN+NlzlZzeksb/sa0yFZ2IclEfjjg9pPLiTzkE53HTXfFYtW5AQbqRQRjQbgTOA84BztY9FSnlC9MVzokY0x5by8nJOPOci0r91HWkjTmHOSXbuXriU0YUm3n/79YQPy3N15N1013xuvvU2/tlYEPII1N6OXN2yZYtbKUWibF5//XWWr/pDVMs60DUDPtc9+YdVfOvSK8ifdg+pecW01ZRj3vgbRg4/huGX3+ne9rKcen501ZVxaThE4l6E++x6K9AFc29lxeo17vLb/8lmvnrjafQpmbQ3HSHvklmcePo5JNlaojJCOlojmlOBLGCQ9qkEvgpfPEVfYfv27ejSh2AYXIQwJCP0NpKy8uiQDsrKyhI2UsqFyWQiKysLQ2ZO2Kmbe9vpH2mLLzMzk3de2xBVqyzQNQM+13388cfos3JJzXO6jFLzitFn5NJuo8u2iMa4BUzE2vr2FYm24L5VGDIHu8tkxDmXcviLf2BtbsCSPJSUwU7LJZGCS/zOvCaEWKv1KbyE0zr4CLhSSnmGlPL6WAmoiD3jx4/H0XKYziOVyM4OpN2KrbGGZOHsWvJ+SQiPF0ii0NPUzZGY3ctkMjFu3LigFkmos+eFcrzeEOia/a0799xzsTfW0lZTDkBbTTn25lpSkuiyLQ57QgRMxAJfytU4KBdrQ627TOoPlFFdVcno/7sLozEZodPzzf5yLOYDCRNcEshSGA4k45yCswI4BPSP+R8VASkuLmbJvNtY9MAjNHw6iM5jZpFjtPPwb5Z2yzETKV9tpPsoepq6ORad/ok2UDHYNftad/LJJ7N43q0sXXW/u09hybzbOO2007psO3Tebb0uu57WjViXs0uB1h8oOxro0NHEfQvvZsXqNdSmmWitq2DY6OPJHXk8J176I77evA6brZNUUwoP378k7lYCBOlTEEIIYDzO/oTzgBNxzsD2sZRycUwkRPUpxAvP6KMLLrjAXWEj7TeP5sNbUlLC0KFDw36hRKsjPdw+i1jWnWhEH33xxRe9kr+ndSNSWU3DLf9Vq1ezbFXXzve5c+e6yyQ1NZVp11xP9sTryS4aQVPlXio3r+WNV15wl18kiXifgnRqjK+FEBagQftcBpyFM5eRoh9TXFxMcXExpaWlPQqpDIVoj+bW6/UBI4f8Ea1Bd4k8UDHQNftb56ojoR7HF4Gmzexp3YhHOVssFjZs2sx5s1e606y8tOkpZs6c6S6TkpIttDQ1sueZpV1mtPOlUONVHwKNaL4dp3VwPtCJFo4KPI3qaI4JsRoO35OKGKmXZiK/JCONxWKhsbGRzsbabu631NRUdu7c6fcexHIuBe/zRPPc/iwBV1y/3ZDWo7oRaEBotK7HVZdNBcMBSEsbTr2HvC4ld9yM+YxPz+LI/h00/vtVJkyYELAsYk0gS2EE8AowxyPdtSJGhDJHbiR4bdMmFt63CuOgXHQdTTGviL0dzZ0ILatQ8Hzg29ra2b1hJaaiY5GtFmZcfilX/uxGvy+DWL0sfJ1HSqJ2bn+WwL1Nzdz3uzU4kjPZvf1LDJ9sdk+rGWrd8NdPEs1w6mB12bsBVHDCWbTt+tAdpJEoUX1+lYKU8q5YCqI4Sihz5EaC117bxE9vuoPB356FISObwkxjzCtibzp2E6VlFQxfL7/Kt/7IH5bOIz8/v9tsYJ73wG63c8+yB6L+svCZ2G/hchCCou/eTEbuUOoPlHHH3Qt545VREfF/+7ISzcmZLFjxAMVT55CRO5S0U3fwxZ+X03ngC/dkOUBAq8p1Pd4j0qH7mItIlmWwuhxIaSSSxRzKOAVFjDGbzdh0yRgGpWHMdo6ONWQXYq/KiFglsVgsLFjxAMmFx5E1agL2zg6qjlQyKDkz5hWxJ30UiZxZ1htfD7whM4esrCza2toCvgw6Ojpod+gwpmf5XB9NGW26ZITBSEbuUKp3fs7Xm1/EZuvkBzN+ysP3L+m1Avb1krQ21GIclOuWo2j08bSeNIFld87kvPPOY+vWbT7n9vDE34j0nTt3Rv3FG6guB1MaiZL/TCmFBKSgoIAkRwedDc1Y66vQZwyms74KvbU5YpXEbDZjHJQLVbVY66swZhfS2VyPtaE2ZhXR12xuoZJILatgBHMr+FtXUrKF8oOHOGiu5dBj93LK939G+pDCqLwsfMmY5OgAq5X6A2V8vflFTBddC9JBUWF2RBSwr5fkinvnsWL1mi5y6DqaOO+884DgLpZAjYVYJZ4MVJf9KQ1fZbFg7q1u11Is67RSCgmIyRR8jlxvwvWtFxQUoO9sZdTZl/DNP5+A5HQ6qnbz+8cf6ba/3W4Paq6HS29dP4mcWdabnowDAOcLcNbs2Zz98xXs/O/nbH3pEUaPGMaq5Qsj/pLwJeOq5QsBuOPuhdhsnSAdjBpRjCnb1KUDtTf4eklmZGT4LKtQWvqBGgvjxo1LiMST/pSGZ1ns2lXGitVr4uIaVUohQQlljlwXgV6w/pSFyWRiwdxbuXf5AxTlmHC0Wrjv8Ue4/PLLux179569/HrV4xGrnJFw/URjkFlvO60D7R/IreBrnesFqEsyYso2ccb5E9ld9W/+tHJB1LJpessBzpfs+qce4yc33kpRYTambFNABRyJSDZ/ZRWsIWCxWKioqKDJvJ/6A2VkDx/TbZtIp74IFE4byjn8Wcs/+8XtcXONRk0pCCGexjmmoUZKeaK2bDDOtBkjcM7RPENKWR8tGfo6JlPwOXIDvWADRVqUlGxhxeo1JGcXYG2o5b6Fd3dTCK5jz5o9m5HT5kSsckbK9RPJB7y3lkso+4czDsA7TUd7fTXJ9vaoTxbvGU/veT3XzriClzY9RX0ABeyrDHQ6v5l0QpLDe5m/hoBntB7JmZSvXciwEceSlWrsJmtvw6ldL/JdZWXc56M1H2pd8rddvF2j0bQUngXWAM95LJsPlEgpVwoh5mv/746iDH2OcFta/ipQoMR10N03u2L1Gi688MIu53QdO9ykcsGIlOsnUuGovbVcotHp7XoBhpumIxL4up6XNq0NOLeEvzK4f1FkH29fDQFf0XrN+75EX/Y2Lz+3LqIjhT3TYO/e/iWn/nQhRaOPd1/vy6NGhVQXEqHvwx9RUwpSyveFECO8Fl8BTNR+rwNKUUrBTU9aq/4qEPjObhko86X3y76nSeWCEQnXTyTDUXvbMotWy27y5MlIKVn30LKYjsPwdz1tbW1+R4f726ezszPi8nm39H1F6xkHF5KUNaRHs+75w/NF7rB3cuBIK1VNVvJsNvf1bt++PaS6kMh9H0HnU+jVwZ1K4Q0P95FFSmnyWF8vpcz2s+8sYBZAbm7u6Rs2bIianNGmubmZjIyMgNvY7XZ279lL0iBnumeHzYqtoY7jRh+LXq8PuG9TUxMVlc5ZunDYGVpUQFpamt/jASGfq6mpifaODg7XN7qPnZmZ2bsC8bjmzs5ODAZD0Gv03i9U+QOVvev8Op2OvfvKQzqet8x2u53W1lYOHKrAOCgXvTElrHsXjFDqTqTpSV30t08k60sgecv2fEOHzY4hKw/0STg6WkmyNjFm9Khe3QPP8m9vb2f/wUqM2flIh53m2ip0aYNITU8Hhw1bQx3HjiwOqS6FUsY9fT48mTRpUlTmU4gLUsq1wFpwJsTriwnlXISSVGvnzp38etXjjJw2x71s36t/Yd1Dy0LK3ePLlSKE8Ju4LtA6b0pKSjjpxBMTZtRwOGXlr+ydlsYD7uu/6vJLeemFl0OIfz+6z4zLL+Wp9a9gbrLS2VyPo6OV4aPHuf3YkYgWiVcyxXDqR6B9dDpdTOQXQjB7TuQzAHiWv8ViYdH9Rwe/7d+6jf+9tZIxJ03okg0g1ISRPSnjWBBrpVAthCiUUlYJIQqBmhifPyHw9QL3ngC+vnI/bfVVIc8v7KvzLNyIF39yAl1etj3x5UcyHUUkUmP01mdef6CMpasWM3jSTIpGapOwv/UoervVrx/bswwaGhq6ZRcNJG+sU3n0pBPf1z6lpaUB9wnn2gJtO2HCBP78xB9pamoiMzOzR7nCPDOZeo6C9jyvt1vn+ccfYcyYMV1k8hXF5SukO9Gm4HURa6WwCbgWWKl9vxbj88cdf75wl5/9lnn3Ym6y0lFvRuj0XD93Cek6W49bEeFEvPiT8/qplyCECBpZ4e+hjXQ6it72SUTCZ643GtGlDyHJlO+ehN1gykOfbPfpx/Ysg6o9X3O4oRljdkGX9Mq+aGpqCjqCN1r0JEonnH18TV3p/YL1t22wOaTDCQP1PEazI4lDe3aQV1iEXtpY/Ms7+NXi33Q5digz4fmL4vK+f72NhIoG0QxJ/QvOTuUcIcQhnKm2VwIbhBAzgQPAldE6fyISLEplwoQJpKamMP7sy9lZ+hrZk27AKh0Mi9AI0p7KmZRlDhpZ4S/81RUZknXmVAaPOB5rS2NErqU3rayeWBre+9itVhwth7FZqrFnF2BvPkJnQw1JORndjuNZnrrkNL76391kXXQDOcefRUfdIZauup/p06d3sxgsFgsVleaIRTUlUvJA7zpWsWcHP/nFHRw3/hR3jiPPxkY4kXSBysjXS3rChAncs2wlgy+eSX1VPdljv0/FP54g49RLMdfU0THmYo4/88Kjx35tQ8gu3b6SisWTaEYfXe1n1cXROmeiEyxKxWw2Y8jKJatwBPrMIc4J0esOYszKcU95GYvK5C2nLsmICBBZESj8deOrr7Jn/0FSO9/B8Y8NnHjpjyJ2LT1tZfXE0vC1z5J5t/Hk+leo/Per2FsbKMwx+Rxt7CrPlOx8KndvJykrD8PgIhy2Tufcxlm5bN++vZtSMJudwQORiGpKtOSBnnXMZrNhbrKSXHgc+RdehU5v6PLyDPTcQGiRdOD/Jb3mwRWINBPGrBykuRGZOYQkUx7GwUNBb6CqtpKR7R0JE5UWbRK2o7k/UlBQQFt9Ffu3vU/e6JNwdLR2aaG6WqPOVqjFOf+tdGBtrItpnLJ3q9hhsyJbLYwfPz6s8NeysjL+8ORzDJ54LekjnH73L998lBE+WtOxZvLkybw8alTIfn3XPt7WycyZM4OOOi8oKKCx+iD//lcpIiUDq6Ua65FKdPnHOOc2bqxl/PjxPvfDYae5rvfjORKtxepZx3Tp2XQ210NHCylZQzCmZXZ5efY0d5Q3/l7SrmNYG+uw26x0tlZgb20AHOCwgYSWlhZsTeE9h/Eeb9BTlFKIIU88+RTf7C3HUfk8jtYG8rMzePbxNe4H07M1OiTdQOXG+xk2+niO/M8W0zhl71axbeolrFw8n+LiYp8tbH/zNgMYMnMYd/IZfLO/HPRJSIeD22+8Nu4tpZ62nL2tk1BGnQO0NDVQ9+EGkrLycLRaOPKPP9Hx5Zs4mupYPO9Wn0rJZDIxtKiAmhf+0Kt49URssXrWMUdyJke+2sYJ370WY1pmt5dnMMsuVKvP30t6zJgx7mMYrJJDO7/GYCqk8cMX0Z8zC8sHz1HXvBODrTWs8o/EeJx4ENVxCpGiP8zRPHLkSE46ZyL50+4hOecYWqv2UvvGKr7+5D2fvmTvKIhIVKRwfcqu7SsqKrj44ou7Lfc8jq8wvFGjRvGDGT+l6Pu3kJFTRH3lfupLn2HLG3+L2fX4Cum0WCxM/v60Lv0crvl7gYj73T/77DMuvWY2+ZfPxdHRii45jcpXfsPSO2fywx/+MKCVUlpayqmnntrrnEye8whYzAeofPNRnn9iDUajMez6EI4cJSUlABw+fJizzz7bb10vK/OfAM7zeaiurga6W2WeskHXe+g5j/Q333zjMwzUc5bD1157jYfXPkvSoHyW3H49LY0NTJ8+Pew8Rv6Wx7JvJ+JzNCsix/bt29Fn5ZKa53woMoYeR31Wnk9fcjQiEnrSMnbJ4fLdei+3WCzuUDtv18rWrdu48mc3YpU6PnpsPsNGH0+6zsaqZQt69GBF4npc+OvnWP/CCzy+7sWozEJnb20Am5WUnGFY66vA1s75558fktuqt/XBs8W6V4uuGTQoi29deoX7vgS71nDL22KxsHHjqzQ1NzNv8f0kZeUg2iws+9XtXSKtXNc2btw4LrzwQr9RQSLNhKVyLzq9gaz8Yd1k8Bftc9q4Ufxl09vos3LdkV7e0UO+rm3WrFls376dpKQkpkyZErSMS0q28MvFK7AbM9Bbm1m1bEE32XpSjvFAWQoxwNtSSM0rpq2mnOqN9/PVJ6URzc3iC++WYnNthbtlHMrLxldrO1hoquf56g+UUbl5LW+88kLAaw31gSkvL3dbIKaC4T6vJ5CVM/myH3KkeJK7n6Pm7UfJNjqoqallyJTZ7lno2j99MeQyCoTFYuHsi75NbbvAMCiPzoYaclMkn773z6DHjuTgtfLyci6b/mNyL7qGr95a754fYVRhNkdKnvJ7reHWH9cLcs/BGpbMmcXqr/Qk5xbTUf0NjW8/5NM69oXneY3pWZQ+di9ZZ1zOGedPpL2+2uc995Szdt8OPnh8AcOuWkh6/rE+n7lg1xZK+VssFs6d/F3ajv8ehuxCOuurSN3xdz7e8lY3i6E3z2FP6Iml0LMUhoqwKS4uZvG8W6neeD8H/7KQ6o33+/UlA+5WuMVi6fW5ffmUXRFA/gh0flfH5eCLZ5J/6S8YfPFM5i9d6d7W+3zZw8eQljM0YB4az87QkdPmkDdlVpdjuigp2cJl03/MQUs731TVY6m3dLuekpItTLliBtfOWcTuPXvZsmVLl7Jw9XNYj1Rit9tw2O20NzeSMnQcmceeht5UQGVjBw5tFrreYjKZeOyh3zIiJ4P8ZDsjcjJ47KHfxty33NbWRlrOUFKystGlm5xWqz6pS3SbL8KpP677mD3xejJOmgx6A0mDChBCYBwyDH2GM9IqFDzP2954GMOgPAzZhVitVp8yeMvpQJCUlUdydhEAqXnF6DJzePvtt/3W1VCeDW/KysowN1lJH3EKKUOOIWX4SVQ1drjdUaGWY0+f+Ui+K0C5j2LK3LlzmT59etCIl0ibmOFGQXiff+G827qsN5vNNDuSqK+qh5omsNswOpJCjhbxRSidoa4XTtGlszBvXAtCxzf7yxnV0eg+vr8xFq5IG5dsSbYWTjlpPPWV+zGaUklKL+RgdR31FXsxmApoO1yNrNwfsUiRyZMnsyXOo1d7Gt0W6v20WCx89NFH2A1pZBeNwLDvADhsdNYfQp83Euvhg9ibfUdaBTtvStYQOhtq6Kyvwmgc61MGbzl1SGyNNXTUV5KUfyxNB3bQWlfBYy++wVMv/NU9RiESEUL21gbaLbU4Uk10Wqpps9Tx+eefdwlCCFSOPX3mo+GOUkohxhQXFwc0naOZhjmUKAhf56+oNHdJtZGamsqhPTvIP2kqqTnDaKsp5+CeHaSmpoZ9PhehvHhciiN7+BhOvPRHfL15HTZbJ6mmFB6+fwkmU/fZuVxjLFzKxVM214N0/6K7WfLbhzEecwKW99ahS82ko6qMjPzBPSpvf8R79GpPo9tCuZ+ul5MjOZPd27/EMLyE408+G53xELWvLsIwKM/dp+BZ/wP1IXnfq9wUiW7H3zl45CufMviS84YZV/DCq7/lcGYOrXUVjJ3yE8ZNntZlIFpvI4TGjBlDXnYmlW88jCG7CFtTHcbUVJ5c/zI//vGPfUYX+pplL9xnPlqhxkopJBjBBur4e4CCddCGmo/F1/kRjZSVlZGVleUca9HWRtGwYg6/tw5Lcjq2hlqyc3Kprq52P/DhjjgO5cXjqTjyx52BMS2Lys1reX3Dn93n9TfGwlO5+JLtyJEj3H7vClLzj8XWWMuZV95C576tPQrbDCd6rLy8nE8//ZQhQ4Zw+umn+1XUPb3v3rJMmDDB3dHqnePns88+A45G9njuW1RU5M4N5drP5a4oKyvjzvmLSD/9BxSMPom0U7/PF39ezrH7tmKYcRmL7rqZsWPHMm7cOIxGIxaLhYaGBta/8AIbNm0m2ZTXZXSxP3l9RRZ546ueX3nldP773//y9F83M+yE07C2NnV5roLV1WBlbDKZWDDvDm67Zyl6Wxs6vY6TfjibjrKPutUfX+NjQplm1BfeAwB16dlul6dSCv0Ify3mXWVl/OwXt4ec+yWQCfne++/7nDHK3/nt2R3cdNd8DJk57hw1WalGMo47h92fvIPdmEFVxV5+fMMs1v7+dz6jLkIh2MPpS3E88sDyLi1Pf2MsfB3Lc9nUqVP5/RPryDrz+0fDVLeXhO1G8M6hUzSs2G/W1AdXrWbJbx/BkTKoy7gVz+0C5T4Kdt9DlcVz1jJXhtGZP57Ohtc3d9t3xuWXsmHTZkSaicbqgzjsnTQ0NnO4sZmU9s189c6LnHDxDIqOHUNr7SF0+iRe/+cHpKalserRJ51W275d1FRX4UhKwXTBzxg9/mSyU3TcMu9eUlNTaO2UVB4s9xsZFUoDwzuq6PDBMqpq6zG3PgMdLYw6+5JuYyF8HTfU3FOTJk1iiOkhrCNOJaVwNAfqGkitPtit/vhLs9ETF5brWa3Ys8OdqffIV9soKysLKQ2HP1T0UQwIN4LEO+Z/wdxbWbF6jc+oBSCkiAZ/M0a5YtY9W9ue5+9srGXmT67irSM5XY5/5y+u4xdzf036t64jKSsHo15gee9ZRuRksOXNjVF1k4QSDw74jD4KRKgpjwPJNeWKGQy66Dr2VltAJ2h8/3kmTJtF/Qfru9yT8vJyTjznItK/dR1pI06hs+kwh996hNGFJt5/+3V3S/3Fl17mjbrssO+7S5bBF8/km6p6EDos763rJotrzMb+umbyvnOLe9ayI+8+xVnXLeKAxere96TvXsPn6x/kvNkrycgp4vMPS7F8/AptjfUMmnQ9KcNORrYe4fBbv0fX3sD5Ny7nqlNzeOmLOj5+agnnzV5Jiimfj0v/SdPW10jKymPIpbdgrS1nwikn8a/H7mb8xdPZ9cEbIUdGBbsXeVNmgU7Hv55cRsbpV5AyuABbi4Uj/1zL8z7mJPc+hr/y9362frloOTt3lUH6YNJyhuJoPsxgg40Xnn6c/Px8t4V15c9u9HnPtm3b1qO6t2nTJn7yiztILjzOrewc33zkllGNU+gneLeYe5v7xd+MUca6w5RX1VNnaeey6T/mkQeWM3ny5C7nb2xsZNuXX3c7vslkYsSYE2nNKSQ1dxg6nZ6WQXnYdPaoj5T11aoLNN9tqPQ2lbGrA/5wtYUOmwMhdDiSjOiNXfs1wDluRZc+BMPgIoQhGePgIpKy8uiQji65sPzlPoLA991VZ4xZOVDTRGrOMBrTTd1kMZu7z1qWNCgPfUYuDgTok9z72jpa0WflYszKwWq1YsguRCSno8/UkXbMCVgtleiTjEgpGTQoi+zhY4Aj6I1G934tLS0YsgucoZuHK2k/9D9EkhFzeRn21gZSs3PdkVHh5v3ybBS4rr/lcBVfbHqaTpKQadkU5ueRnT2GyurPg853HUruKdezlXXmVDI73yH7gmtoqyhjxHHj+O+LD3L17HnUVh6kaFgxBtmJI2WQz+P1tO6NGTOG41K+2JoAACAASURBVMafQv6FV7lThOyr+l+vnkEVkhoGkQ79CoRrQI93NA90nRYz0DoXnkolJWsIdLRgbTrCvvIDIHQkJRkourRrCKjr/GPGjHHm3/E6/vjx4zHYW7E31iDtNqz1Vc4soY6OmOd2CRbOGs598yz3cHF1wAudHkN2IRJortxLe2N9t3syfvx4HC2H6TxSiezswHqkEltjDcnC1iUXlq+yD+W+u9ZbG+vAbqOtphxHizPyyHu7JEcHnQ01WOursHd2YGuowd5ciw7ZZd+k5DTsjbVYG+swGo101lchO1qwNx/G1nQYo6mAJNlJkrWJIdkmt2x2q9W9X3p6Op31Zqx1h5BILJ+8TO1bv6du82MU5pjQ6Q1HI6PstpDzfnmGIU+5YgZlZWV0Ntby5ZvPkfPtGxE6PQhBVXUN1sY6dB1NQY+ZmpqKw96JxXzAZxnD0Wdr8IjjcbRYwGbFOOQYvvnflzg6O7CNu5T8afdwuKWT3Iuu4eCeHX6P51n3Qq2zBQUF6Dtb0ekNPlOE9ARlKYRIPEYiBprcw1fulypDGtaGWu5beLffDtqM3KGMOvsSvn7zcZIG5WEwGBl70eXojUbshrRuLQyTyXf+neLiYlYtW8At8+6l8rPAWUKjTSBLKpbzEbg74N9/DpmSSVt9NYaUVGrfW88jDyzvUi7FxcUsmXcbix54hIZPj/YpPPybpV2iVQLlPgpUJzz7VoyOJA5q/QL1H6zvtt2q5QuZPedXVL6ywt2ncPu823hp04td9m3+96ssnncrL216ivo0E6nVB0nONNBqzKb6bytIHVyEbDnMkl/ezmmnncb8pSux5v2I+g9edO8n0kwY9+6gs6GanO/chj4tiyEpgqTtr7PkV3eyYvWasPN++YrCWbF6DT+/5krufegpSDIy6PjzaPv4BVqlJM0jWs37OJ4j8u9ZtpJrr57eZUS+v+AHa0sjJ176I75881E6mix0treSPvQ46j7+K3nfugpduomUrGyKhhVT+eaj1A8u8BvpFM67pieRfsHod30K0cgr4m8koisao66uju3bt3Puuedy8sknd9s/nD4Fl/xbt25j5cOPOuf91fLLjwqQ1fO1TZtYeN8qvykavP3ld/7iOu5/6FGSx1xA+RcfQHI6HVW7ef7xR9zpBlwRIBUVFZx++uk+I0CAoFlCwyXcXDGB7s9bb78T1Cfs7/zh5p5yyZF9wTXojUY62tqo3fJsl/4a72sJFn0ULPdRqNFHVquVQ4cO+R0f45n7x1f0kWeU0nvvvcfevXu5+OKLGT58OGVlZezevZuamhouvvhi9zNgsVj45JNPOOecc7ocr7GxkV/c8xtyvn0j6enppKQks2/jQ6x7aJnb9RNq2ZeXl/P222/zpw1vMfaqu93L9218iD8sncdNd80ne+L1ZBeNoKlyLwf//kf+8OBvupW1Z0ht2xEzHe0tjLt6AT8cm8r6rdUcfPOPvPL80z6fb89nq7nmAA1NzehOn0HGyFNorKmgfsuTpBgNnHLZtdS+t571Tz3mN+dUKKP1feGvHgz4PoVoteZ9tUT3OpK4bPqPqW1o5nBtDUmZOdibl3LDjCv4058e65X8lpZ29u/dQ3rhaJJaaxl19iXMnvMr0jOz3BFA3mkl7lu9huGX3+43XtnTZ+l64O6Zcws3zb2Xwd+e5U7tcPeS+0lNfYh2Xao76uTOmdeENPNaJPA+/owfXMqG1zcHPJ+/1lJbWxvo9KRk59Pa2kpKdn5Q/7Tr/I1t1oARML7wNQbi4fuXuF/C/souWMqHQFFcwSK8TCaT3wmQvLfzzvbqfeySki3ccMscalrtONoa0S9/gJ9eOY3ST/7tjlx6bN2L/PrO2UydOhWTyURKSko3xV5QUIDB1kqyo42UlMFdXB7hRKw9uGo1y1evQaRn03bEjO74zznu5DO6ZD9dtWwB85eupNkdLWXn16se75YM755lK0k++0fOWQ/zDmP++x8pqPgG+6jjOWCxUteh45qZs939bp5MmDCBNQ+u4N+ff86jT66jRaSRnTmEttqDGA0GHDYrBtnC5+sfZNjo4/n5bfNYuXh+twihkpIt3Dl/IYcaO2mrqmdUchamEMNTw430C0S/UQrRzBnv7X6xmA9waM8OTr7yTva89gy50xYihAQpeXrDb7j55tk+WxShyJ99wTV889c/kTt1PjpdEqmpyez+x1o6G+s58wd3kDt8dLdrC2U0MHR/QbTWVVB07BjGnH4WRqMRgK+arIw//0qabGnknzSVw++tQ585OOjMa9D77KLe99BiPsCy1fM5d+YSsoePCXhPfcV/WywW7DYrn39YejQnjY8wQV/3YN/GteRPuyfsme/8dRiGUj+jZeWG81wEiuyau2AZ7Sf8gIJjJ2Bvqefw5jU8/dLfSB9cQNH0BTj0yTTs387t967g90+sY9Xyheh0Op/KsLcuj/LycpavXuPOJXb4P+/w1Qv349hxVpcU1677UVZWxk1z7qboe3O7lYPZbHbG9zdZMQ4uIiVvBPUFo/nq73+m4+yF2K3tYO8k96LrupWdp4VR9tU2xky+iqQvPkCfZEA67AwzpZBekI3DbufUK+5wt/593ftgo/VjRb9RCqG+GHuCd0u07YiZomHFOPTJ6DMHY8wrpvPIIYxZuSRl5fHxxx+HrRRc8uuNRvQZ2RgHD8XWWEtSZg4OXRIiNYvsohE+ry3UNATl5eXM+fUSt2lau28Hnz2zjGFHqkk7ZiS1B/Zgb20gs2gU1RW17qgTIUTAmdc2vvoqjz3zQq+tB+97aMzKQZ+Vi15TWIHuqb/4b6Sk8fNN7kR0ySn+3aWe96CnETDQvdXmmf7BX/2MpZUbahl6zplsNpvp0KVgyC5AZ0xBZywkaVA+tvYWRHI6SYPyaKjcT2rxSTgObCXrzO8wf+lKVtw7jwX3requlF7bENJcx/7wzjo85LQpNG9/l5tmfJerrrqqm6IFMGTl+iyHgoICrA21dDbXk5o/Emt9FQZHOzYEnQ01VGx6iIyiY/nqrfUMSTe4y67LNKvp2dTlf0b5tjcYe9EV7HrPOdo+zZTC3Jtn8thLf8dUMNzvPQhltH6siItSEELsB5oAO2AL1+fli57k2wkHb/fLlT+7EaNBj73pCNaacoSQ7giSc889t8fyO6NDGqCpBkdHOy0HtmM7fJDCwkLa66t9XlsonU3epmlep6DGYkUaUvj48XsoHjOeZNlOYY4J2dneJepESumOOPIu487GWv7w5HMUfffmXlto3vfQ2liHvbEWu9UK+I7+AKeyu3P+QooundXFoljz4Ar0hmQmzr6P9sbDpGQNoWLzk//f3nnHR1Wl//99piWZtEkvSIeIupZF5Ou6riW6KqwC/lR01bU3VhQRFFyK0gRdiiKKoq5txcWGYlt0YRVXVxQRUCmhl/SQTOpk6vn9MTOXmcmdkkCY4N7P65VXpty59znnnnuec57yecJO7h3lBoqENvQP36yk15kXB7UlWg3iw0F7eIsCZdjzzUquv3MMRScPRGdvZPK40SR4WqmtK0efmo2ntQFXfSWelnpkYhKt1ftBp8PVeBDZUk9mrxOwbfuK1tbWsEqpo1Fe4I3ecjdUY6vaq7AOy+Y6LrnkkjareGG24GysobmxoU0/JCUlUVFRwUP3jeLO+/9C88/eeP+is4bQsPFTkJJul08gpbAvtqq9lC2frdC5hGYUG1My8OhN3ozmIddR/cXrfPDma6Snp/PMS0sj3oNYsvWPFuK5UzhfSllzpE7WGV54PwKLdPjtgP5rpSdIqpfP8PkUDnLLyOHt3iWEyp+VbKRsxeMU9inC5LLx1POLSElJYfzUYL72wLZFinMO3ZpKBHv2lZJoTiQpLUsZwMvfXqoUITF5DOzbsZns7BxcjQfDVl679/YbWbzs4w7t0EJNFWr30Bu18jrWCMpu7F8e4UCDk4rlS/jVxdeQ0eN4Wj06GhsbwePG0dxAWn6vqAuFNvcgTARMrGae0InWfNoWNrw2A+e+DUrwgMXSlq8pNB/hcBDrcxE4wTlaGtm59jMyL7yDwtMH42muY+a8RVwx9EJmL3yOenMG7oZqdC47t153Nf/+73eUv/84TkMSCaYEfj3sJhzNXrNHYmJipyzW/KzDjzw+E2FOR7bU88iDY4Ic+qGKduc78yj7+GmMaTlef9Wwi7nqhtuVndGDd9/Ksvc/wVSQQ/2GlbQ2NyL0Ruz2VijfhV4n6N7vBIXtN1ThJtbtovHANjatbGpTUS/aPVC7T6HZ+kcLvxjzERx+8pEa/M6swCId48aNC7pWtOijjsgfGn2xatVqkBKXrZnWJm8M88CQ1Xg4Z1Po1nTTJy9js9lIMBkYcOE1ZPY5meafvdTWfhmWL3+PBc+9iDBnhJXR/2BHWwWpIZy5JFwd5IjK7g93Y/Nl7a5/dyF6YwISeODhWUy4506qli6JeaHg902sXbuWhIQECgoKgqKqIplY1CZaT0IquuQMXC4Xhf1OoOXkgUy/71bOOuss5fjAycWUnEbtni04G6oVs01ge2Md24HHqo2rQILDUBk8bickJGNMycBkMmEwd6MiIZU3V3zC7+6ciUsKmhrqsa97hzlzZgPeCLR169bxwutv0bLlS5p9fa3T6dpMdpPHje5wxFrgAu20035N3z59aPHo0dmTKCgoUPi81MxmaXndeWraeNLS0lSzi1d86q35UVlZyV1jJ9Bj6F0I0YpJD05rOT16dqdF51LdoZcbzez9eSNn3DKdrON642ioYdmKF7n11luDfBvt4W062qHdfsRLKUjgUyGEBJ6TUi45Uic+kl74UGeWrWov0+bO5sorr6Rnz55B1zr77LOPyDXV5PdPfqbjz2XXF+/jcEvGTp3D/GeeZ8nCeVFtz6Fb09MSkvl6yWSSz76GGp2F8q8+b+OAXfzyUnpcNoaUnG4YQ+inQ2WcPG40k2Y8FhQ+29648kjnj6bsLPk96JuQRsm2LbQ2N5B34W2ceNoZGFzN1FnrlNDhWB40NR6gp+fOCopS8ctdumML1985hv4nnaq0O/BebNtWQsmP66nJ+1aJ7tLZG4MUgr99cx6eyKixwdddv349Op1OkStWn0O4YyNFIQVOcG6jGXv5dgpSTRgMBpqqS3HUV2NKz/FlKUMOsHvHl4oZaPDgwQwePJhrr702aFL7/PPPgya7bdtKeGDKdNX+jYbABZrLWkFmZgYFv7mc0rWf4TakcdPo8fTs1ZuM1GQmjxutukPxK6FwuzObzUZaWhrGNG9bjYYdlH3wKPrkDKxfWHnkgXtUd+hff/01U594ke5FXlpws7kHdSE75ljmpiM5f3UUcclTEEIUSinLhBC5wGfAPVLKNSHH3AHcAZCTk3P6m2++edTlbGhoYNf+MkyZhcpnjtoy+nQvJC0tLebzNDU1kZKS0mE5Wltb2b2vFIfTCYmpCIMRPBJPcy0JRj1F/fqi1+sjnqOxsZHSMm/avvS4cDqdeIQOoTci3U6MAgYcX4Rer6e1tZU9+8swZeQBkK53UV1zkF7dC0lMTFQ9r9TpkG4X3QrySU9Pj9qewPMD2Osq6JaXQ3JyclBb3G43TqcTo9HYpo1ut5vtO3ZhSM9GZzDhtDVhq68lNbc7QicASKWV1JRkRe5o5yvZsRO7y40xLRf0Bjz2FgyORor69cXpdB6SW0pabDbczVaSLVkgBK76Gvr364Ner1dkIzEFe1MD6HR4nK306dlDtX/819anZmMwmvC4nbjqa+hWmI/ZbA5qp8flCLpWpD7xH9und0927d4b9Rz+/rHb7ZRXVIFODx43Bfm5lFdUxSRDIJqamkhKSsLpdKLT6di5e0/Y/o10HofDwc9bt2G0FKAzmnC3NuNsrEWv12NIy8Ej9EiHDU+LleTMXNyNtYrM/jb4+9Jut+N2uzlQVo4xPadNewC279iFPjWTdKOkyuadIxMMetyNB9vV79H6p7Nx/vnnHxt5ClLKMt//KiHEcmAwsCbkmCXAEvAmrx2pkoTtwd69e7n+zjEhJTQfa3cJzcMtqWi1Wnlgyh/Ye7AZp9RhSM/F3XQQk15Hj9wM3nz+iZhYEQOTh+55eC7dLr6N1oOHHLCvFJ/PgAEDsFqtTJ19KBnswrQK/vb3f7QpfVhSUsL9k6cfcjIfLKXqjadjSrQJPH/pji1sfG1mmxW3d8X7WMTVsRAiiLyvqbmF7peOJqOwF611lVyaXcfvL7wgIMIn/Pm2bt3K2Ef+SqVdT97QewGw1VRj3vwhy555nPz8fEVuXXIGm77/keb1H/K72x/2cs689wavLJjOgAED2Lp1K3+Z+xy9Lx+Lw9lIa8NBKtd8xOuL5qjeq8Dj/dj93htMG3ML3bp1U/3Of61w53G5XDgcDso+/jvT77uV59/6yMeRk4zJnBn2HIH3Fw6ZeDpCGPjBBx8ofW6rraCxxUZLUq5q/0Yawx9//DHTn36N7n+cAYC71cn252aS0uNECoaPp7mxAXdjHfYNHzBo2A0c/O9nvLJgOueee25QlnLgLjAVG8mp6ao1n4UQjJkwhVtv+hNP/wR9e/XEkmFh93v/COqzQDNd4Fg8WqwHnYGjrhSEEMmATkrZ6Ht9ETD9aMsRC/zOrGlzZwf5FI6288disfDQ2Lu5afR4si57kITc3rjqSql+fw5YjDE77fxbU6vVqqTmqzlgQ51eofTTfvNEq0fH/sp6cg3JQOxO5sDzVySksm3jd/T57TB6njMMR3ND1JyIcA72bdtKeHDqdL57aZpimug27S9twgfDne8QD1ATjrpy9CmZOOvK0TuaFHOIX25PQiq1P67nxCE3qnLOtImkam5A72wJe6/CRQkZjcZ2RdaFo1P+z1cD2P7zRvbVtqhSRweiPf6eSLBarZSWVQTlnXy1eAL6ZJfSv/bKXRitlUpETziERhs5Gg6il26clTtp3rUBpz4Rk17QamsI4ncKHPMPTJ1Bdaug8MrJ6FMyad6zEePOT3lq2vg2vo3i4mI+fLsvH33yT/oWWLD4uJz8EUvffvst361bx4tL3w5KKFULs+2M/JPORDx2CnnAciGE//pLpZT/jIMcMSHWEpqdgcDBNHDgQPqccDKtRgPOg/vA4yYhNYP7R93W7oEWKSLFf83A4ialpaVB2dP+ydWUnMaBxZPYummdUkw91sgS/wTzzOLFzPlpAxUHdlP2/DR+dfE1QTkRsWQj+9/fcOe99B85kZN8ztqG797DbDYDbZ2+agrMYlHnAZo7d5ZyTODEWFJSwsx5i9hdvjki91As1e4qKiqYPG40jzy2AJcuAYPHriR/tedcFouFyeNGB9EpFxVfzaK/LeXk6yZR1ezC2VTH5k+81NHh/Fex+nsiIZRl1JLfgx79TqSlah9lb8/Egx7pasXcbwCXjfwTMyeND6KyDhz/agu0mVMm0L9/fybPmovDkETZrhJVfie/LKFssMaMAoQ5g7S0NNU29ezZk+7dCql94ynqAjLsL7n8GsqsLdisNeT+/nYGnDoI2VLH+KkzWf3hu0E7nnhwph0ujrpSkFLuAk492tc9HEQrodkZUItySTNIevXIQW/OoOVgOfWFWYwYMaJD51db9cVCPx0a1XHqH27g+2VPsr38OxLcrTGHAfvNE2+uWEnm+TeR3OtU3E21bPzoaXplp3DSSSfRULmfdV99jiE9H0ddOYnle8MqnFC58k8cjG3bVzidTqCt0zfH6KKlprTNCrW4uJi1X/wrYnSMf2IcMGCAwhOltgqMZWUd2OfWsl1IoScpMxV8uRntOZcfoXTKrQ0H2bluNVnH9abAZPKalMJQR4dLdgusvBfNNBhIZ4HHTVPNoR1Oss7Fx59+xI4dO7h3wlQs591MVbOLhqY6rr9zDH8Hhg0bpjoWwy3QQrm61GSMtgsMh9TU1KBKdZdfdzO2E4aSk5JF1X/fRZoz2bKtBHNKGjWV9bz33nvcdNNNSl90FstCZ+IXFZL6S0E41kd/sR3/g/LIg/cpE3ZHBlngqi/WBKpQU0ZyVgH9enXn2TmTYw4vDDI/1TRy4oXHU1VTBnoD0uPh3ttvJD09HY/bSe1Xb+ISBtwtVvROG2vWrFEtjBLJ/GK1Wpk1fxEnDrmRnWs/xOGws/dgGX1OOJmrbrhdtbJXKA9QOBNAtJVzpO9Dd13bF08ibdClnOLbdU2cNofZUyfEdK7QvgikU26uKVeoq835PWitq0RnbyQpKalNSVa1fmyo3M9dYyco8f3hVrtqE3k4hl2bzUZSZj5VzS5MmYUk5fWm+ef+TJrxGKeeemrYsai2QAvXL6H3LNouMNo93Lp1K25TCsaMAkwpGXhaG3E2HiSxoB/gROh0LHz+FYX3qTNZFjoTmlKIEUfTLlhSUoINEzIhLcjUUVRUpKxatm0rCVIQsWxL1SqT+dujNoArElL5+uuvSUhIUM6hZsqYO2NKm0k0kgwPTZ9D5gW3IoyJHHhpJqW7tnHa//2Oxqr9pOalM2LECCoqKkjJOQ6jvZysM0Zg7lZEc2kJk2fN5ZxzzmkjfzgTi06nU9rW68yLye5/Cl+/9CgFQ0fT97RBtForvdv+CKu3I2ECUBs/gX3eULEHY3ouxowCHA6H0v/Nzc1tcgqiQa0vAimv1RK3/G0K/a2zsQaP26nKGaSWMxI6kc+eOkHVzq5QSzTWYcrpib22DOzN6HMz+ec//4knITWmyTTccxmUzdxQzb2338iIESOi7gIjIT8/H72jCWddOYbULFL6D+bgqudJLCzCJO30PXsYtq1fUlJSwuDBg9uVTd6VfA6aUogB/nJ7gbbezrILrlq1mlFjJ7C3rJKq7DWYM/PpnmEOcpyB137enm1p4EPir61rKewTxBPkbKimYvO3ZPY6geqyA5T8uJ4p893cftUfFJZUiG7KiDTIKyq81cnqyuu8Vb0GnE3N6pfY7TM/zZ0+GfCGA9sOlqEzW0jtOxC30+5NpkrPCcu1pCbX559/3iYxS5+Sid6czrYdOxEGY5ttf2hbDtcEEE6pBMqVmJaFs74KZ105JtPxlO7YQsmP6ymtGMpFw0e2WxFFSgJUS9wKbFNo5b0/T34srC8mMKJNbVXsdDpVV/IWi4WrLr2IGQueIqGgPx5bA4WnnM2utR/yzFIPu0s2Yz5tC4X9Tgg7mYbr18B71nywnI0fvcrYWU+x8IVXmTt9coefXYvFwtzpk7n57rHs+XIZHlsDHqeNzPzjsJvS+PlfbyGlh+vvuIdn58+muLg4JvqZruZz0JRCFFitVv58/4NUtwqM6Wac9U2MGvsga7/41xHX6larlQcenonj5GHknyyo+WY5jW43NXYrrz+3UHWFCeHLBAbuCvwPSWJGHuu++pyGdSs46eLblGifSeNGY7O1svujV3G31OOyNXHKiLvodebFGEKS1yD8lj3aIPdXJ8s7eQRJ2d1x25rwOGxMH3Mr5557Lt9/v14piuNyS1oqttKwc72S/NXUXBuRayncBBSYmNVaXkJCfTXp/Qbibqpts+0PRGhfJ2bkYdcnKqvBWO5pJKUSSLWdkyjRbfmYPdUbKPFFNiVk5iuV5GJRRGrUIYH9oJa4pdYm/7Hvv7+iTQKef4KOhVvIaDSGlfODf63hlCE3sHPtSkSyhb1r3uGUITfQ79zhJH2zkg2vzaDFx70UOpmq9ev4qTN51pcPJMwWTMlprF26gNxL7sbtdpFhSThsm/7AgQPJysyk+4WXkVrYF2tVBeteehidKZHM824h9bj+OCp3KLvPWOhnuprPQVMKUVBSUkJ5jZXCKydjyijAUVdO2dszY54U2oOKigrFZpmU3Z2U7idQ8dFC8guygpyC0baloRPzn2++VpkEWlpaMGYUYEzPpbXhIGn5vSg3mpkyay59rxjHSRl5lO8u4cfXH6XwlLMA0Bna1hhWQyyDXKlO9sUr1LjdtBwsJ8FSwJRH5zFTCGbOW6T8Pqe6FM8bs0jY8iFJmfm02hs7zLUU+HCuXr2aibPm49z9HZ5mK6f+4QZatnypeo7AvnYaktm2aR212zZz19gJMe0YoykVNdqQr7/+minz3fQ682KgNuY2xrrqjLVNe/fuZcqjczn+4j+x57sPISGZSl8hJqDNvQ7lFvKb7yL1S79zh9PjjGLqKktZ/9ZT5B7vjUHpdebFOPdtaEMJEq5fnYZkdlfWc9u4qRikg+bGBpL2bEGXbEGfkom7toyMwuNpaqcZSk1uY1oOx53sJb00JqWQaMnGmJpN1oBB6HR6pKMAd3mKcp1wC6iu6nPQlEIM0JvT0adkel/7TA+dgUCbpSk9F7etEeloIUGXErR1jhZSGvqwLnz+aRDCa6bIyMPpq6ecmJalUBgkZOQrg7OgdxGbky3U7tlC/omD8bgcqtv3UISSqnnczjYlPvPz80lLMlF4zkg2rPgbx105ER2CwoIMJs+aizE1M+ghyereX+GrORyuJX+/WSxeqvEXXn+LtDMuIrPXCTiaG2gOcw5/X4+fOpPdlfUInY7Trx5DclZBTKu60Al468Z11G75idvuuZ8nZk9X7PiB5zjrrLPQP/aEt8ZxZlJMbWzPqjOWNn3xxRoemPQwla2C3KRCTrnqPhJ0LirXLKOoqCgqt1Cg+c4vX+CkG7qwSUgyI5vrghhx9c4WVYUQ2q+JGXls27QOodPR74r7cTQ3sPOdedT+9y1spRU079nIgFMGhQ2Zbo8JR43JF1sDGBNw1VfFHNWkdq4jzezcUWhKIQqKiorITzV5E118hVryU02q4XyHC7/NMpa6x+G2pWoPqzEth1FXD+WZl5YgzL7auomS0pUvIFuszJoygZnzFimDs7WukpxkA9VfLqNp8xrOu+KSmEJN/YN8zzcr2bn2M6XEZ0lJiRK77Z+QxkyYghQ6dAglW7QmPQd7XUWbhyQvL09hpmxv/H9ra2sbR60/EmXitDnYtn0VlSivuLiYWZd4jAAAFCJJREFUZ1NSuG3cVPpdcT8mcypAuxL1xk+dyY6yg9gb6zBnFXLAalc1QwbmLMyctwhH7jVUffqPqP3f3lVnpDa9vnQpD834K6a8vrTWb6elbDv7gL4FGUEJeJG4hQIRbtJtLyOuWr9OnDYHuz6R2m2bOf3qMZjMqZjMqYqC2rx5MwtfeJW62h9Vz9leE47a+HvkwTEsefWNDkU1dRaz8+FAUwpRYLFYeHruLC9tdbmPtjqGG95RFBcX89/VnygREv4JUS0CRW1bGm71MWLECCWqRy36KCUlRRmcDZX7EdJNYkYB9roKCvJzY3J+WSyHEqcCS3zOnLeIc845R5G1uLiY11/M5srrbyE/0YXObqVuXxU6e6OioPwPycjL1KNkQk0uoaGV/onoluuvYersto7a9mbnFhUVkajz4GhuUM1gjoTi4mL+KiXD/ngzPa6YSFJ+X1UzpFpuislkikobsnfvXjZt2oStrlx11RnONBLaJmvFPpqqDrDohdfIvPAO0voOpKlsB6XLHycxPYukrJSggi+Tx41mckBd8MnjRrfJabHZbDw4daZS66Kq5Aduv/s+5s+ZwbnnntsmMikcI24orFYrhYWFvPXq8wqraXKWNymtbl8JLTWl5OXlMXjwYGXcqzHEdsSEE86JHy6qKZJpqqswowZCUwoxYODAgTw7fw5w5IrTR4LF4o2TX7VqNaMfmNyuyIRoq4/QFbMfkcoWlldUxRwWWVRURNHJAyn0lfg0GAzs/jH4IfNPfnap55tXHiUxIx9a6nh4/GiGDRsWlIzkj5LxU0qPnzJDCR+1WNQT7gYOHHgo/j8jKayjNpyttyP9Gg2pqamY0nMwZR0HtDVDhstNmT11QsRrBDKHOuoqsL48lYJ+v1Lki5UZdZfHwIEdW8jKzqHO5iIzKQ23005KYT9Su/Un03UwqODLqlWrmTlvEcbUTOx1FYwcNkQJkbaW7UJKgVMK7r3tT+yttVGxfAmp2bmU/vQdwpzOyFtHk5eRysvPLWqTIxKtT9XuuX/ntyOgtnZgDkq4fgi3iPLncLjd7rDjIXQsqfkYYzFNtWccHg1oSiEK4hUydjiRCR1dfVgsFoU2OHDlhGiI2fmVn5+Pzt6Ip7kOg7mtnTS0DnKPqx9Getz0ybOwbMXLCv98YJRM88Fy1i5dgC7Zgq10vxI+GnguvcmE2+FQKq4dWv3F7qiNhsNZ1UUzQ4ZbsfozstWgRu1e8e4spo0cQnFxMenp6Vw0fGTEMeSvH3Hpldfym1sfITm7gM8XT8JRX41Op8PVbMVRuZO5zz0ZtoCNtWIff31movL7zfPuxSUMCL0R9AZM/c4kpfsJ7H/nUdLPuQFz38HIllpqPlnIfX95mDX/jD3aJuxz8f6bvPXq81w28k+cNWpOUC3kaDxaoco+cHd684jfB4Vjt7emRVeMLooGTSlEQDxv6uFGJnR09aG2ciLb3S7n159vvpaFLzwTRBQWul3310E25/XCVrOfpMw8GkLal5+fj7Ohmo0fvUruJXcrJGYLX3hVMQk02BzsemcxJKZCayPZqV6KbH8bYnXUxoqO9ms0M6Ravzsba/B4PGF3aaF1ivUpmbhMacx59lUWv/xGUNQZhB9DlZWViMRUkrMLMJlTFeqSjH4DEK0NLHzuyaAs8tCxGVhLu7FyH06ng6who9AZEzGkZdGy/b+Ys7ujT8tBZ0rEkJCISOyGIS0Xu/S0S1lHei4AkjLz29RCDldb3H9dtVK7/mc+MBw70q4rVln9CaHhHOhdAerxYhoA9ZsqAgZgZyJwkoDw9YmPNPwrp6pPl7B7+QKqPl1CQX4uFRUVWK3WiL9dtWo1Fw0fyeJlH4OUjLp6KJ++/2bQg+NvV1AdZLdLtQ6yxWLh3ttvRHo8uN0uHLVlDDhlEMbUbOUB3r9nF4ZfXULS4Ksw/OoS9u/ZRV5entIGR10lVZ8uOaIOPKvVW/kuWn+Eori4mNUfvsuyZx5n9YfvtjGbBPb7znfm0dzYwL7SCi4aPpLVq1e3OV8gc6jH48a6+yeEgOOveoDci+5g4fOv4GysiTiGVq1azV33T2R/RTWfL55E5dZ1CnXJi3+dypqVK9rQioSOzdBa2rrENAxpOUiPC3QGDMkZ5JklnsYacNjB5VDqmScIV9AuMlq/qj0XttoyNm3ahMPHjhra3sDa4uH6wWLxcllVVlZi1yeS6Kv14Q/HLikpURaIvS8fq5gk2yOrPyFxyvwlYe9pV4C2U4iAeIaMxTMyIYiOuqSE8vJKHn329YirI7Vd1TMvLWlD2BfYrkh1kP0YMWIEC194lQxLAhmFxweFFZaUlKBPySKx2wCEwYQ+KY2WlCwqKyuVNnzzzTdRHbWR4DcX+J2U27aVMGt+++hFQtsfzYEZ6NeJ5BMJZA4VyZm0Wqs55fJRmNMygIygqDO1MaSUMx3yZ3INyWzdtI7vlz1Jv17dI1KXqI1Nf+SQ22hGtNTiqdyOKT0Xj70FT80e3Js/45aRw3nt3aU0/vARnpZ68jJSeOLRaWF9Q2r9Gnrt0pKN1DW1cueUubgbqrl2+CWs/zS4vWq1xdXGmp+5YPee/dR/9TkDThmEJ82raIB279wDZS01mNn+0w8MuPCP9Dt3eJc2JWlKIQLiHTIWz8gE/7VuuPNe7hg1it6Xj404kNtj7opUi1pNjrnTJzNx2hya1O6BvZEEjw2DOR2XtR7sjUG/TUxMjBrFEq5//RNVg895WdiniLJdJZw45EZ6nXlx1Ae7I5w2bf06kX0ifubQ1atX8+j8RSQkJuBoacTR3KAadRb4+9B7Nui357G9/DuenTM5amJmJBqNH374gZnzFqFLzsD462Esmj1VyRZ/6KG9rF27lqysLE4//XQslthqXahd+/vvv2fE9bdSeMUkxaeydPls/rPyfUwmU1B7Y6FmeWj6HAqH3k26jxpj7bfvMXz8ncx5eCJFRUUdWiAWFxczqbGJB6ZMR5+axd4NX5Ka1428AYO6RKKaGjSlEAXxDhmLZ2SCf9LQGUxA5Im+vbuq9rQr3D0oKiqiINtC9cpnMKbn4qyvoiDbEnMOSaTVaahDPO/yh3C6XWT2rmfn2g8pPOWsiP1xOAEKQWaHGHwiO3bsZM4TT1NWfZAD7/8NvbOFbrmZLF7wuGrUmdp1/PkpCe7WmPtPLQLn++/Xs+DZl0i05OCor6ZbQR7Dhw9XjlFjOe2I/8xisWC32zGk5So+laTcnujTcjhw4ABDhw6NKm84GVJyunFej+PZ8c58enY/TrlvHVkg+hl6+1z5ALK8DoSOn1a+gsmc1iUS1dSgKYUY0NVCxo4W/JOGx3UoyzTcQO7sXZXaPbBYLCxe8Djjp8zApXNjyE5RTfRTQ7TVaahDPCm3Jy1V+9Anp0NCMq0NB5XVuBrr5eEEKAT2ZbTktcCKYt2vfgRhTqd5z48k7VnNwBDa80jXORL3TK3dgeHM4XZOHTXT+n0qzZW7SMgoxF5XhruhmpNOOqndsrfJVG5uIFHnCWII7sgC0T+OLPk96JuQxs49e3G5nJStXMKTj83okvOKphQ0hIV/0ijZvpPd770RU+bv0d5VFRcXszrCNd1ud5vENoi+OlVziAvpIS/VRHX5dirXLFPqSR+OKS1Su2LxiVRUtK0olpBViKxMi+l6R/KeqbXbH84ca75Ee5RTz549+ePwS3hp2QwMabm4Gqq4ZeTwDhXECidDKHdTexeIgcrGktONvvYGkiyJQTkfXQ2aUtAQEcXFxUgpeWXB9JgmjXjsqsJdc9Wq1WzfsYu/zH2uzUQUbXUaziHu1Ln4+3NPevMOwvTHkQpQiMUnkp/fsYpiodc5EvcsXDhzUlJS1J1TR5ST1Wrlhy07+d2dM/Eg0CFZ//U/2l1/wo9w1OuHAzVl88TsR7qsQgBNKWiIAXq9Pqju7LEAvykjnJM8ltVpexzigTiaAQoWS8crinWGLKHt7jb+Hmw2W0w7p/YqJ//OJKf3CcpnTRsOz3nbGYuaePsl24u4KAUhxCXAk4AeeEFKOScecmj45SIWJ3ksD2tHJ4mjORHEUlf6aCG03Rs2bOi00O6uyjKqhmPJL3nUlYIQQg88DfweOAB8J4RYIaXcfLRl0fDLRaxO8s58WI/mRGCxqHPvxANqUUmdsXOKd8j4LxXx2CkMBnZIKXcBCCH+AQwHNKWg4YihvU5yDZ2Lzto5HWummWMB8VAK3YD9Ae8PAP8XepAQ4g7gDt9buxDip6MgW2chG6iJtxCHgWNZ/lygAXBecMFn6pSXXRvHct+DJn+8cXx7fxAPpSBUPpNtPpByCbAEQAixTko5qLMF6yxo8scPx7LsoMkfb/wS5G/vb+JBiHcA6B7w/jigLA5yaNCgQYOGEMRDKXwH9BdC9BZCmIBrgBVxkEODBg0aNITgqJuPpJQuIcRoYCXekNS/SSl/jvKzJZ0vWadCkz9+OJZlB03+eON/Tn4hZRtzvgYNGjRo+B+FVmRHgwYNGjQo0JSCBg0aNGhQ0OWVghDiHiHENiHEz0KIxwM+f0gIscP33cXxlDEShBDjhRBSCJHtey+EEAt9sm8SQkTmN44ThBB/FUJs9cm4XAhhCfjuWOn7S3wy7hBCTIy3PNEghOguhPi3EGKLb7yP8X2eKYT4TAix3fc/I96yhoMQQi+E+EEI8aHvfW8hxFqf7Mt8wSVdEkIIixDibd+43yKE+M0x1vdjfePmJyHEG0KIxA71v5Syy/4B5wP/AhJ873N9/08ENgIJQG9gJ6CPt7wq8nfH61DfC2T7PhsKfII3X+NMYG285Qwj+0WAwff6MeCxY6zv9T7Z+gAmn8wnxluuKDIXAAN9r1OBEl9/Pw5M9H0+0X8vuuIfcD+wFPjQ9/5N4Brf62eBUfGWMYLsrwC3+V6bAMux0vd4k4J3A0kB/X5TR/q/q+8URgFzpJR2ACllle/z4cA/pJR2KeVuYAde+oyuhgXAgwQn5w0HXpVefANYhBAFcZEuAqSUn0opXb633+DNJ4Fjp+8VOhUppQPw06l0WUgpy6WU632vG4EteB/24XgnLHz/R6ifIb4QQhwH/AF4wfdeAMXA275DurLsacA5wIsAUkqHlNLKMdL3PhiAJCGEATAD5XSg/7u6UigCfufb/nwhhDjD97kaVUa3oy5dBAghhgGlUsqNIV91edlVcAve3Q0cO/IfK3KqQgjRC/g1sBbIk1KWg1dx4KXu6Ip4Au8iyON7nwVYAxYXXfke9AGqgZd85q8XhBDJHCN9L6UsBeYC+/Aqg3rgezrQ/3GvpyCE+BegxnU7Ca98GXjNLGcAbwoh+hAjVUZnI4rsf8FrgmnzM5XP4hIXHEl+KeX7vmMmAS7gdf/PVI7vinHNx4qcbSCESAHeAe6TUjZ4F9xdG0KIS4EqKeX3Qojz/B+rHNpV74EBGAjcI6VcK4R4Eq+56JiAz9cxHK9J1wq8BQxROTRq/8ddKUgpLwz3nRBiFPCu9BrEvhVCePASVHUJqoxwsgshTsZ7czb6HujjgPVCiMF0Edkhct8DCCFuBC4FLvDdA+hC8kfBsSJnEIQQRrwK4XUp5bu+jyuFEAVSynKfqbEq/Bniht8Cw4QQQ4FEIA3vzsEihDD4Vqtd+R4cAA5IKdf63r+NVykcC30PcCGwW0pZDSCEeBc4iw70f1c3H72H1yaGEKIIr/OnBi8txjVCiAQhRG+gP/Bt3KQMgZTyRyllrpSyl5SyF94BN1BKWYFX9ht8UUhnAvX+7WlXgvAWQpoADJNStgR81aX7PgDHHJ2Kzwb/IrBFSjk/4KsVwI2+1zcC7x9t2aJBSvmQlPI433i/BlgtpbwO+Ddwpe+wLik7gO/Z3C+E8LOKXoCXzr/L970P+4AzhRBm3zjyy9/+/o+31zyKR90E/B34CVgPFAd8NwlvdMk2YEi8ZY3Sjj0cij4SeIsM7QR+BAbFW74wMu/Aa5Pf4Pt79ljre7yRXiU+WSfFW54Y5D0b7/Z+U0C/D8Vrm18FbPf9z4y3rFHacR6Hoo/64F007MBr0kiIt3wR5D4NWOfr//fwmq6Pmb4HpgFbffPla3gjBNvd/xrNhQYNGjRoUNDVzUcaNGjQoOEoQlMKGjRo0KBBgaYUNGjQoEGDAk0paNCgQYMGBZpS0KBBgwYNCjSloOF/DkKIpnYce54Q4qyA93cJIW7wvb5JCFHYgevvET7WXA0auhrintGsQUMXx3lAE/A1gJTy2YDvbsIbE95Vs3Q1aGg3NKWgQQMghLgMmIw3YfIgcB2QBNwFuIUQ1wP34M0UbcKbkDgIeF0IYQN+g5fVdJCUskYIMQiYK6U8TwiRBbwB5OBNJBIB170euNd33bXAn6WU7s5vsQYN6tDMRxo0ePEf4Ewp5a/x0mw/KKXcg5eDfoGU8jQp5Zf+g6WUb+PNfr3O950twrkfBv7jO/cKoAeAEOIE4Grgt1LK0wA3XmWkQUPcoO0UNGjw4jhgmY/0zIS3YMmRwjnA/wOQUn4khKjzfX4BcDrwnY84MYmuS7im4X8EmlLQoMGLp4D5UsoVPurnRzpwDheHdt+JId+p8ckI4BUp5UMduJYGDZ0CzXykQYMX6UCp7/WNAZ834i2NqYbQ7/bgXfkDXBHw+Rp8ZiEhxBC8RGvgJVi7UgiR6/suUwjRs4Pya9BwRKApBQ3/izALIQ4E/N2Pd2fwlhDiS7z07H58AFwuhNgghPhdyHleBp71fZeEl6XySd85Ap3F04BzhBDr8RZe2gcgpdyM17n9qRBiE/AZ3jrNGjTEDRpLqgYNGjRoUKDtFDRo0KBBgwJNKWjQoEGDBgWaUtCgQYMGDQo0paBBgwYNGhRoSkGDBg0aNCjQlIIGDRo0aFCgKQUNGjRo0KDg/wN7OvyqvoX1agAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax1 = city_list_df.plot.scatter(\"Lattitude\",\n",
    "                      \"Windspeed\",\n",
    "                      marker=\"o\", \n",
    "                      facecolors=\"DarkBlue\", \n",
    "                      edgecolors=\"black\", alpha=0.75) \n",
    "plt.ylim(0, 40)\n",
    "plt.xlim(-60,80)\n",
    "plt.grid()\n",
    "ax1.set_title('City Latitude vs. Wind Speed', fontdict={'fontsize': 10, 'fontweight': 'heavy'})\n",
    "ax1.set_xlabel(\"Latitude\", fontsize=10)\n",
    "ax1.set_ylabel('Windspeed (mph)', fontsize=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Observational Trends"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Cities with lattitude in the range -20 to 40 have the highest temperatures\n",
    "\n",
    "**The city with the highest windspeed has the lowest lattitude value\n",
    "\n",
    "**Similarly, the city with the lowest humdity percent has the lowest lattitude value\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernel_info": {
   "name": "python3"
  },
  "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": "3.7.3"
  },
  "nteract": {
   "version": "0.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}