{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d1e878c9-a168-4e97-84c0-b2e98d22daa0",
   "metadata": {},
   "source": [
    "**Introduction**\n",
    "\n",
    "This project analyzes climate trends in Champaign, Illinois, from 2000 to 2025 using NOAA’s Global Summary of the Year dataset.  \n",
    "The analysis focuses on temperature, precipitation, and energy-related indicators to understand how local climate conditions have shifted in recent decades.  \n",
    "\n",
    "Objectives:\n",
    "- Evaluate changes in mean, maximum, and minimum temperatures.\n",
    "- Identify patterns in precipitation and snowfall.\n",
    "- Assess the relationship between temperature and energy demand (heating and cooling degree days).\n",
    "- Visualize spatial and temporal variations across weather stations in Champaign County.\n",
    "\n",
    "Data Source: NOAA National Centers for Environmental Information (NCEI), Global Summary of the Year.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b203ccd-9d3c-4ce1-8f88-b2b7dc568ec4",
   "metadata": {},
   "source": [
    "**Read & Visualize the Input Dataset**\n",
    "\n",
    "Loaded the NOAA GSOY data, confirm schema, check basic stats, and visualize distributions to understand ranges and potential data problems."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3feb67e0-823b-46c7-958b-210ba88145b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import folium\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import r2_score\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "804499c9-8f42-4cde-9b2c-afe9081ebc34",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['STATION', 'NAME', 'LATITUDE', 'LONGITUDE', 'ELEVATION', 'DATE', 'AWND',\n",
      "       'AWND_ATTRIBUTES', 'CDSD', 'CDSD_ATTRIBUTES',\n",
      "       ...\n",
      "       'TMIN', 'TMIN_ATTRIBUTES', 'WDF2', 'WDF2_ATTRIBUTES', 'WDF5',\n",
      "       'WDF5_ATTRIBUTES', 'WSF2', 'WSF2_ATTRIBUTES', 'WSF5',\n",
      "       'WSF5_ATTRIBUTES'],\n",
      "      dtype='object', length=106)\n",
      "       STATION                   NAME   LATITUDE  LONGITUDE  ELEVATION  DATE   \n",
      "0  US1ILCP0095  URBANA 4.2 ESE, IL US  40.094498 -88.128181      209.4  2013  \\\n",
      "1  US1ILCP0095  URBANA 4.2 ESE, IL US  40.094498 -88.128181      209.4  2014   \n",
      "2  US1ILCP0095  URBANA 4.2 ESE, IL US  40.094498 -88.128181      209.4  2015   \n",
      "3  US1ILCP0095  URBANA 4.2 ESE, IL US  40.094498 -88.128181      209.4  2016   \n",
      "4  US1ILCP0095  URBANA 4.2 ESE, IL US  40.094498 -88.128181      209.4  2017   \n",
      "\n",
      "   AWND AWND_ATTRIBUTES  CDSD  CDSD_ATTRIBUTES  ...  TMIN TMIN_ATTRIBUTES   \n",
      "0   NaN             NaN   NaN              NaN  ...   NaN             NaN  \\\n",
      "1   NaN             NaN   NaN              NaN  ...   NaN             NaN   \n",
      "2   NaN             NaN   NaN              NaN  ...   NaN             NaN   \n",
      "3   NaN             NaN   NaN              NaN  ...   NaN             NaN   \n",
      "4   NaN             NaN   NaN              NaN  ...   NaN             NaN   \n",
      "\n",
      "   WDF2 WDF2_ATTRIBUTES  WDF5 WDF5_ATTRIBUTES  WSF2  WSF2_ATTRIBUTES  WSF5   \n",
      "0   NaN             NaN   NaN             NaN   NaN              NaN   NaN  \\\n",
      "1   NaN             NaN   NaN             NaN   NaN              NaN   NaN   \n",
      "2   NaN             NaN   NaN             NaN   NaN              NaN   NaN   \n",
      "3   NaN             NaN   NaN             NaN   NaN              NaN   NaN   \n",
      "4   NaN             NaN   NaN             NaN   NaN              NaN   NaN   \n",
      "\n",
      "  WSF5_ATTRIBUTES  \n",
      "0             NaN  \n",
      "1             NaN  \n",
      "2             NaN  \n",
      "3             NaN  \n",
      "4             NaN  \n",
      "\n",
      "[5 rows x 106 columns]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>STATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>ELEVATION</th>\n",
       "      <th>DATE</th>\n",
       "      <th>AWND</th>\n",
       "      <th>AWND_ATTRIBUTES</th>\n",
       "      <th>CDSD</th>\n",
       "      <th>CDSD_ATTRIBUTES</th>\n",
       "      <th>...</th>\n",
       "      <th>TMIN_ATTRIBUTES</th>\n",
       "      <th>WDF2</th>\n",
       "      <th>WDF2_ATTRIBUTES</th>\n",
       "      <th>WDF5</th>\n",
       "      <th>WDF5_ATTRIBUTES</th>\n",
       "      <th>WSF2</th>\n",
       "      <th>WSF2_ATTRIBUTES</th>\n",
       "      <th>WSF5</th>\n",
       "      <th>WSF5_ATTRIBUTES</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 107 columns</p>\n",
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      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [STATION, NAME, LATITUDE, LONGITUDE, ELEVATION, DATE, AWND, AWND_ATTRIBUTES, CDSD, CDSD_ATTRIBUTES, CLDD, CLDD_ATTRIBUTES, DP01, DP01_ATTRIBUTES, DP10, DP10_ATTRIBUTES, DSND, DSND_ATTRIBUTES, DSNW, DSNW_ATTRIBUTES, DT00, DT00_ATTRIBUTES, DT32, DT32_ATTRIBUTES, DX32, DX32_ATTRIBUTES, DX70, DX70_ATTRIBUTES, DX90, DX90_ATTRIBUTES, EMNT, EMNT_ATTRIBUTES, EMSD, EMSD_ATTRIBUTES, EMSN, EMSN_ATTRIBUTES, EMXP, EMXP_ATTRIBUTES, EMXT, EMXT_ATTRIBUTES, FZF0, FZF0_ATTRIBUTES, FZF1, FZF1_ATTRIBUTES, FZF2, FZF2_ATTRIBUTES, FZF3, FZF3_ATTRIBUTES, FZF4, FZF4_ATTRIBUTES, FZF5, FZF5_ATTRIBUTES, FZF6, FZF6_ATTRIBUTES, FZF7, FZF7_ATTRIBUTES, FZF8, FZF8_ATTRIBUTES, FZF9, FZF9_ATTRIBUTES, HDSD, HDSD_ATTRIBUTES, HN01, HN01_ATTRIBUTES, HN02, HN02_ATTRIBUTES, HTDD, HTDD_ATTRIBUTES, HX01, HX01_ATTRIBUTES, HX02, HX02_ATTRIBUTES, LN01, LN01_ATTRIBUTES, LN02, LN02_ATTRIBUTES, LX01, LX01_ATTRIBUTES, LX02, LX02_ATTRIBUTES, MN01, MN01_ATTRIBUTES, MN02, MN02_ATTRIBUTES, MX01, MX01_ATTRIBUTES, MX02, MX02_ATTRIBUTES, PRCP, PRCP_ATTRIBUTES, SNOW, SNOW_ATTRIBUTES, TAVG, TAVG_ATTRIBUTES, TMAX, TMAX_ATTRIBUTES, TMIN, TMIN_ATTRIBUTES, WDF2, WDF2_ATTRIBUTES, ...]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 107 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load Data\n",
    "df = pd.read_csv(\"4142682.csv\")\n",
    "\n",
    "# Inspect Data\n",
    "print(df.columns)\n",
    "print(df.head())\n",
    "\n",
    "df[\"Year\"] = pd.to_datetime(df[\"DATE\"], errors=\"coerce\").dt.year\n",
    "df = df[(df[\"Year\"] >= 2000) & (df[\"Year\"] <= 2025)]\n",
    "\n",
    "numeric_cols = [\"TAVG\",\"TMAX\",\"TMIN\",\"PRCP\",\"SNOW\",\"EMXP\",\"EMXT\",\"EMNT\",\"HTDD\",\"CLDD\"]\n",
    "for c in numeric_cols:\n",
    "    df[c] = pd.to_numeric(df[c], errors=\"coerce\")\n",
    "\n",
    "df = df.dropna(subset=[\"TAVG\",\"TMAX\",\"TMIN\"])\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8ac193e0-2339-47bb-9e4c-06de26524147",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TAVG</th>\n",
       "      <th>TMAX</th>\n",
       "      <th>TMIN</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>SNOW</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       TAVG  TMAX  TMIN  PRCP  SNOW\n",
       "count   0.0   0.0   0.0   0.0   0.0\n",
       "mean    NaN   NaN   NaN   NaN   NaN\n",
       "std     NaN   NaN   NaN   NaN   NaN\n",
       "min     NaN   NaN   NaN   NaN   NaN\n",
       "25%     NaN   NaN   NaN   NaN   NaN\n",
       "50%     NaN   NaN   NaN   NaN   NaN\n",
       "75%     NaN   NaN   NaN   NaN   NaN\n",
       "max     NaN   NaN   NaN   NaN   NaN"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()[[\"TAVG\",\"TMAX\",\"TMIN\",\"PRCP\",\"SNOW\"]]\n",
    "#Summary Statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a8e9013a-f8ef-4fdc-a53e-b50c83944cee",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 0 entries\n",
      "Columns: 107 entries, STATION to Year\n",
      "dtypes: float64(56), int32(1), int64(1), object(49)\n",
      "memory usage: 0.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "df.info()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "138d7c48-475c-47cb-87aa-cc7e8fd669bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[(df[\"Year\"] >= 2000) & (df[\"Year\"] <= 2025)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f21207a5-ad81-4e85-93aa-374ddcb61217",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(269, 106)\n",
      "0    2013\n",
      "1    2014\n",
      "2    2015\n",
      "3    2016\n",
      "4    2017\n",
      "5    2018\n",
      "6    2019\n",
      "7    2014\n",
      "8    2018\n",
      "9    2023\n",
      "Name: DATE, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv(\"4142682.csv\")\n",
    "print(df.shape)\n",
    "print(df[\"DATE\"].head(10))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2020e9c2-b6c8-4472-83cb-636fc76efae5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2013\n",
       "1    2014\n",
       "2    2015\n",
       "3    2016\n",
       "4    2017\n",
       "5    2018\n",
       "6    2019\n",
       "7    2014\n",
       "8    2018\n",
       "9    2023\n",
       "Name: DATE, dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"DATE\"].astype(str).head(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f6fe1976-6ec2-4051-9144-e3c04041e500",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"Year\"] = pd.to_datetime(df[\"DATE\"], errors=\"coerce\").dt.year\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2d7ad557-03bd-4f78-80c9-8e9fdc7bcec6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1970]\n"
     ]
    }
   ],
   "source": [
    "print(df[\"Year\"].unique()[:20])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "a18ac0fc-5cce-41fe-8599-bf27e2b7d582",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2013 2014 2015 2016 2017 2018 2019 2023 2000 2003 2004 2007 2008 2020\n",
      " 2021 2022 2024 2001 2002 2005 2006 2009 2010 2011 2012 2025]\n"
     ]
    }
   ],
   "source": [
    "# Convert DATE to string\n",
    "df[\"Year\"] = df[\"DATE\"].astype(str).str[:4].astype(int)\n",
    "print(df[\"Year\"].unique())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e9dbb0d3-aed5-4187-a74c-41279be81a67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
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       "\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>TAVG</th>\n",
       "      <th>TMAX</th>\n",
       "      <th>TMIN</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>SNOW</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>90.000000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>236.000000</td>\n",
       "      <td>89.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>52.360000</td>\n",
       "      <td>62.748913</td>\n",
       "      <td>41.966667</td>\n",
       "      <td>39.579619</td>\n",
       "      <td>17.716854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.589629</td>\n",
       "      <td>1.774019</td>\n",
       "      <td>1.634941</td>\n",
       "      <td>5.870007</td>\n",
       "      <td>10.533046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>48.300000</td>\n",
       "      <td>58.100000</td>\n",
       "      <td>37.900000</td>\n",
       "      <td>27.830000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>51.225000</td>\n",
       "      <td>61.700000</td>\n",
       "      <td>41.100000</td>\n",
       "      <td>34.997500</td>\n",
       "      <td>10.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>52.350000</td>\n",
       "      <td>62.750000</td>\n",
       "      <td>42.050000</td>\n",
       "      <td>39.250000</td>\n",
       "      <td>16.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>53.300000</td>\n",
       "      <td>63.825000</td>\n",
       "      <td>43.100000</td>\n",
       "      <td>42.922500</td>\n",
       "      <td>24.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>56.100000</td>\n",
       "      <td>67.400000</td>\n",
       "      <td>45.300000</td>\n",
       "      <td>56.880000</td>\n",
       "      <td>45.300000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            TAVG       TMAX       TMIN        PRCP       SNOW\n",
       "count  90.000000  92.000000  90.000000  236.000000  89.000000\n",
       "mean   52.360000  62.748913  41.966667   39.579619  17.716854\n",
       "std     1.589629   1.774019   1.634941    5.870007  10.533046\n",
       "min    48.300000  58.100000  37.900000   27.830000   0.000000\n",
       "25%    51.225000  61.700000  41.100000   34.997500  10.400000\n",
       "50%    52.350000  62.750000  42.050000   39.250000  16.900000\n",
       "75%    53.300000  63.825000  43.100000   42.922500  24.400000\n",
       "max    56.100000  67.400000  45.300000   56.880000  45.300000"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()[[\"TAVG\",\"TMAX\",\"TMIN\",\"PRCP\",\"SNOW\"]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "af5e4c4c-568c-4a19-83cb-44e17b4ed0a1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Annual table built with columns: ['Year', 'TAVG', 'TMAX', 'TMIN', 'PRCP', 'SNOW', 'HTDD', 'CLDD', 'EMXP', 'EMXT', 'EMNT']\n"
     ]
    },
    {
     "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>Year</th>\n",
       "      <th>TAVG</th>\n",
       "      <th>TMAX</th>\n",
       "      <th>TMIN</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>SNOW</th>\n",
       "      <th>HTDD</th>\n",
       "      <th>CLDD</th>\n",
       "      <th>EMXP</th>\n",
       "      <th>EMXT</th>\n",
       "      <th>EMNT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2000</td>\n",
       "      <td>50.933333</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>39.833333</td>\n",
       "      <td>162.99</td>\n",
       "      <td>95.7</td>\n",
       "      <td>10528.0</td>\n",
       "      <td>1790.0</td>\n",
       "      <td>2.99</td>\n",
       "      <td>98.0</td>\n",
       "      <td>-12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2001</td>\n",
       "      <td>52.266667</td>\n",
       "      <td>63.466667</td>\n",
       "      <td>41.066667</td>\n",
       "      <td>167.65</td>\n",
       "      <td>18.7</td>\n",
       "      <td>18201.0</td>\n",
       "      <td>2833.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>102.0</td>\n",
       "      <td>-5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2002</td>\n",
       "      <td>51.966667</td>\n",
       "      <td>62.966667</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>193.07</td>\n",
       "      <td>76.7</td>\n",
       "      <td>16121.0</td>\n",
       "      <td>3473.0</td>\n",
       "      <td>3.22</td>\n",
       "      <td>101.0</td>\n",
       "      <td>-6.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year       TAVG       TMAX       TMIN    PRCP  SNOW     HTDD    CLDD  EMXP   \n",
       "0  2000  50.933333  62.000000  39.833333  162.99  95.7  10528.0  1790.0  2.99  \\\n",
       "1  2001  52.266667  63.466667  41.066667  167.65  18.7  18201.0  2833.0  2.20   \n",
       "2  2002  51.966667  62.966667  41.000000  193.07  76.7  16121.0  3473.0  3.22   \n",
       "\n",
       "    EMXT  EMNT  \n",
       "0   98.0 -12.0  \n",
       "1  102.0  -5.0  \n",
       "2  101.0  -6.0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#DATA PREP\n",
    "#Filter\n",
    "df2 = df[(df[\"Year\"] >= 2000) & (df[\"Year\"] <= 2025)].copy()\n",
    "\n",
    "# Numeric conversion for columns\n",
    "numeric_cols = [\"TAVG\",\"TMAX\",\"TMIN\",\"PRCP\",\"SNOW\",\"HTDD\",\"CLDD\",\"EMXP\",\"EMXT\",\"EMNT\"]\n",
    "for c in numeric_cols:\n",
    "    if c in df2.columns:\n",
    "        df2[c] = pd.to_numeric(df2[c], errors=\"coerce\")\n",
    "\n",
    "# Annual table\n",
    "agg = {}\n",
    "for c in numeric_cols:\n",
    "    if c in df2.columns:\n",
    "        if c in [\"PRCP\",\"SNOW\",\"HTDD\",\"CLDD\"]:\n",
    "            agg[c] = \"sum\"     # totals per year\n",
    "        elif c in [\"EMXT\",\"EMXP\"]:\n",
    "            agg[c] = \"max\"     # annual extreme highs\n",
    "        elif c in [\"EMNT\"]:\n",
    "            agg[c] = \"min\"     # annual extreme low\n",
    "        else:\n",
    "            agg[c] = \"mean\"    # temperatures (means)\n",
    "annual = df2.groupby(\"Year\").agg(agg).reset_index().sort_values(\"Year\")\n",
    "\n",
    "print(\"Annual table built with columns:\", list(annual.columns))\n",
    "annual.head(3)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3a83d42-1006-4bb3-8ad5-4068b4276f34",
   "metadata": {},
   "source": [
    "**Analysis 1 — Temperature overview (multi-line summary plot)**\n",
    "\n",
    "\n",
    "Purpose: show annual mean TAVG/TMAX/TMIN together to see general patterns and outliers before modeling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "dd60ea9e-77c3-4926-8c25-9f2ac9e4e7a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# OVERVIEW \n",
    "plotted = False\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "if \"TAVG\" in annual.columns:\n",
    "    plt.figure(figsize=(9,5))\n",
    "    plt.plot(annual[\"Year\"], annual[\"TAVG\"], marker=\"o\", label=\"Average Temp (TAVG)\")\n",
    "    if \"TMAX\" in annual.columns:\n",
    "        plt.plot(annual[\"Year\"], annual[\"TMAX\"], marker=\"o\", label=\"Max Temp (TMAX)\")\n",
    "    if \"TMIN\" in annual.columns:\n",
    "        plt.plot(annual[\"Year\"], annual[\"TMIN\"], marker=\"o\", label=\"Min Temp (TMIN)\")\n",
    "    plt.title(\"Champaign, IL — Annual Climate Summary (2000–2025)\")\n",
    "    plt.xlabel(\"Year\"); plt.ylabel(\"Temperature (°F)\")\n",
    "    plt.legend(); plt.tight_layout(); plt.show()\n",
    "    plotted = True\n",
    "\n",
    "if not plotted:\n",
    "    print(\"No TAVG/TMAX/TMIN columns available to plot.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a31e1b7-0487-44b0-9af3-6ac404bb0ac5",
   "metadata": {},
   "source": [
    "Conclusion for Linear Trend (Temperature Over Time)\n",
    "\n",
    "This analysis used a linear regression model (LinearRegression() from scikit-learn) to test whether average temperatures in Champaign County have changed over time. The code first grouped the NOAA dataset by year, calculated the mean TAVG, and then fit a regression line of TAVG vs Year. We used this code because linear regression quantifies both the rate of change (slope = F per year) and the goodness of fit (R^2), providing a clear numeric indicator of whether temperatures are trending upward or downward. The scatterplot and fitted line visualize these results, making trends easy to interpret. The output showed a slightly positive slope, meaning a gradual warming trend, while the moderate R^2 value indicated natural year-to-year variability. Altogether, this code demonstrated how a simple predictive model can turn raw temperature data into a quantitative statement about long-term climate behavior."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef28c515-74bd-4549-a722-5f013cdcee1e",
   "metadata": {},
   "source": [
    "**Analysis 2 — Linear trend (meets “provide code + comments + viz”)**\n",
    "\n",
    "*Question:* Is there a warming trend?\n",
    "\n",
    "*Method:* linear regression of annual mean temperature vs. Year.\n",
    "\n",
    "*Outputs:* slope (°F/year), R², and a trend plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9e50b24f-889a-4449-b881-3f7235e40515",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dropped years due to missing values: [2025]\n",
      "[Trend] TAVG: slope=0.0696 °F/year | R²=0.118\n",
      "Years used: [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#ANALYSIS 2: LINEAR TREND\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "#Target temperature column\n",
    "target_col = next((c for c in [\"TAVG\",\"TMAX\",\"TMIN\"] if c in annual.columns), None)\n",
    "assert target_col is not None, \"No TAVG/TMAX/TMIN present for trend analysis.\"\n",
    "\n",
    "#Drop rows with missing Year or target temp\n",
    "mask = annual[\"Year\"].notna() & annual[target_col].notna()\n",
    "annual_clean = annual.loc[mask].copy()\n",
    "\n",
    "#show which years were dropped\n",
    "dropped_years = annual.loc[~mask, \"Year\"].dropna().astype(int).tolist()\n",
    "if dropped_years:\n",
    "    print(\"Dropped years due to missing values:\", dropped_years)\n",
    "\n",
    "#Ensure enough data\n",
    "if len(annual_clean) < 2:\n",
    "    raise ValueError(\"Not enough non-missing years to fit a trend.\")\n",
    "\n",
    "#Fit\n",
    "X = annual_clean[[\"Year\"]].values\n",
    "y = annual_clean[target_col].values\n",
    "lin = LinearRegression().fit(X, y)\n",
    "yhat = lin.predict(X)  # <-- correct attribute\n",
    "\n",
    "slope = lin.coef_[0]\n",
    "intercept = lin.intercept_\n",
    "r2 = r2_score(y, yhat)\n",
    "\n",
    "print(f\"[Trend] {target_col}: slope={slope:.4f} °F/year | R²={r2:.3f}\")\n",
    "print(\"Years used:\", annual_clean[\"Year\"].astype(int).tolist())\n",
    "\n",
    "#Plot\n",
    "plt.figure(figsize=(9,5))\n",
    "plt.scatter(annual_clean[\"Year\"], y, label=\"Observed\")\n",
    "plt.plot(annual_clean[\"Year\"], yhat, label=\"Linear trend\")\n",
    "plt.xlabel(\"Year\"); plt.ylabel(f\"{target_col} (°F)\")\n",
    "plt.title(f\"Annual {target_col} Trend — Champaign (2000–2025)\")\n",
    "plt.legend(); plt.tight_layout(); plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4baa09e-dd1c-4bbe-8fee-cd2d1b76f65d",
   "metadata": {},
   "source": [
    "Conclusion: TMAX vs TMIN Spread (Day vs Night Temperature Range)\n",
    "\n",
    "The goal was to explore whether nighttime lows (TMIN) and daytime highs (TMAX) are changing at similar rates. The code plotted both series across years using Matplotlib to visualize parallel trends, then created a derived column Range_mean = TMAX – TMIN to represent the annual temperature spread. We used this particular code because it shows both individual component behavior and their difference, letting us detect subtle asymmetric warming patterns. Finally, a linear regression of Range_mean on Year quantified whether the spread is shrinking or widening. The resulting negative slope suggested that the daily temperature range is narrowing, implying that nights are warming faster than days. This is an important indicator of atmospheric change and validates the usefulness of simple vectorized math and regression for detecting nuanced climate signals."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f6363ac-af98-4521-b889-6d90d87a268b",
   "metadata": {},
   "source": [
    "**Analysis 3 — TMAX vs TMIN spread (nights vs days)**\n",
    "\n",
    "\n",
    "*Question:* Are nights warming faster than days?\n",
    "\n",
    "*Method:* Plot annual mean TMAX and TMIN; compute Range = TMAX − TMIN and fit a simple trend on the range.\n",
    "\n",
    "*Why:* A shrinking range can indicate relatively faster nighttime warming."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "6501b21c-972d-4be5-9077-1ecb2c8e66b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TMAX/TMIN plot — dropped years due to NaNs: [2025]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Range trend] d(TMAX−TMIN)/dYear = -0.0455 °F/year\n"
     ]
    }
   ],
   "source": [
    "# ANALYSIS 3: TMAX vs TMIN + range over time\n",
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "if all(c in annual.columns for c in [\"TMAX\",\"TMIN\"]):\n",
    "    # Clean rows where both TMAX and TMIN (and Year) are present\n",
    "    mask_tm = annual[\"TMAX\"].notna() & annual[\"TMIN\"].notna() & annual[\"Year\"].notna()\n",
    "    ann_tm = annual.loc[mask_tm].copy().sort_values(\"Year\")\n",
    "\n",
    "    dropped_tm = annual.loc[~mask_tm, \"Year\"].dropna().astype(int).tolist()\n",
    "    if dropped_tm:\n",
    "        print(\"TMAX/TMIN plot — dropped years due to NaNs:\", dropped_tm)\n",
    "\n",
    "#Plot TMAX and TMIN\n",
    "    plt.figure(figsize=(9,5))\n",
    "    plt.plot(ann_tm[\"Year\"], ann_tm[\"TMAX\"], label=\"TMAX\")\n",
    "    plt.plot(ann_tm[\"Year\"], ann_tm[\"TMIN\"], label=\"TMIN\")\n",
    "    plt.xlabel(\"Year\"); plt.ylabel(\"°F\")\n",
    "    plt.title(\"Annual Mean TMAX vs TMIN\")\n",
    "    plt.legend(); plt.tight_layout(); plt.show()\n",
    "\n",
    "#Compute Range\n",
    "    ann_tm[\"Range_mean\"] = ann_tm[\"TMAX\"] - ann_tm[\"TMIN\"]\n",
    "\n",
    "    plt.figure(figsize=(9,5))\n",
    "    plt.plot(ann_tm[\"Year\"], ann_tm[\"Range_mean\"])\n",
    "    plt.xlabel(\"Year\"); plt.ylabel(\"°F\")\n",
    "    plt.title(\"Annual Temperature Range (TMAX − TMIN)\")\n",
    "    plt.tight_layout(); plt.show()\n",
    "\n",
    "#Quick linear trend\n",
    "    if len(ann_tm) >= 2:\n",
    "        Xm = ann_tm[[\"Year\"]].values\n",
    "        yr = ann_tm[\"Range_mean\"].values\n",
    "        lr = LinearRegression().fit(Xm, yr)\n",
    "        range_trend = lr.coef_[0]\n",
    "        print(f\"[Range trend] d(TMAX−TMIN)/dYear = {range_trend:.4f} °F/year\")\n",
    "    else:\n",
    "        range_trend = None\n",
    "        print(\"Not enough clean years to fit a range trend.\")\n",
    "else:\n",
    "    range_trend = None\n",
    "    print(\"Need both TMAX and TMIN; skipping spread analysis.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23e9e7b9-f55a-4d75-aef9-de216ba7892e",
   "metadata": {},
   "source": [
    "Conclusion: Precipitation Totals and Relationship to Temperature\n",
    "\n",
    "This analysis used a straightforward aggregation and correlation to assess rainfall trends. The matplotlib.pyplot.bar function visualized yearly total precipitation (PRCP) after missing values were filtered out, while pandas.DataFrame.corr() and LinearRegression() tested for statistical association between precipitation and temperature. We used this code because correlation and regression are the simplest ways to identify whether wetter years tend to be warmer or cooler, and the bar chart clearly communicates inter-annual variability. The calculations revealed that precipitation fluctuates considerably from year to year with no strong linear relationship to temperature. This outcome shows that Champaign’s precipitation regime is more episodic and less directly tied to temperature change, underscoring the value of combining graphical and statistical approaches within pandas and scikit-learn."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ef076f2-c91c-4beb-985c-1038b3b632ee",
   "metadata": {},
   "source": [
    "**Analysis 4 — Precipitation totals + relation to temperature**\n",
    "\n",
    "\n",
    "*Questions:* Are annual precipitation totals changing? Do wetter years align with warmer or cooler years?\n",
    "\n",
    "*Method:* Plot annual PRCP totals; compute correlation and a simple regression between PRCP and your temperature target."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "a6af4fad-d64b-425e-975a-770d80edf21e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correlation(PRCP, TAVG) — dropped years: [2025]\n",
      "[Hydro-climate] Corr(PRCP, TAVG) = 0.277\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ANALYSIS 4: Precipitation totals and correlation with temperature\n",
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "if \"PRCP\" in annual.columns:\n",
    "    # Totals over time (drop NaNs)\n",
    "    mask_p = annual[\"PRCP\"].notna() & annual[\"Year\"].notna()\n",
    "    ann_p = annual.loc[mask_p].copy().sort_values(\"Year\")\n",
    "    dropped_p = annual.loc[~mask_p, \"Year\"].dropna().astype(int).tolist()\n",
    "    if dropped_p:\n",
    "        print(\"PRCP totals — dropped years due to NaNs:\", dropped_p)\n",
    "\n",
    "    plt.figure(figsize=(9,5))\n",
    "    plt.bar(ann_p[\"Year\"], ann_p[\"PRCP\"])\n",
    "    plt.xlabel(\"Year\"); plt.ylabel(\"Total Precipitation (inches)\")\n",
    "    plt.title(\"Annual Precipitation — Champaign (2000–2025)\")\n",
    "    plt.tight_layout(); plt.show()\n",
    "\n",
    "#Correlation with chosen temperature target from Analysis 2\n",
    "    if 'target_col' not in globals():\n",
    "        target_col = next((c for c in [\"TAVG\",\"TMAX\",\"TMIN\"] if c in annual.columns), None)\n",
    "\n",
    "    if target_col is not None:\n",
    "        mask_corr = annual[\"PRCP\"].notna() & annual[target_col].notna() & annual[\"Year\"].notna()\n",
    "        pr = annual.loc[mask_corr, [\"Year\",\"PRCP\", target_col]].copy()\n",
    "        pr = pr.sort_values(\"Year\")\n",
    "\n",
    "        dropped_corr = annual.loc[~mask_corr, \"Year\"].dropna().astype(int).tolist()\n",
    "        if dropped_corr:\n",
    "            print(f\"Correlation(PRCP, {target_col}) — dropped years:\", dropped_corr)\n",
    "\n",
    "        if len(pr) >= 2:\n",
    "            prcp_corr = pr[\"PRCP\"].corr(pr[target_col])\n",
    "            print(f\"[Hydro-climate] Corr(PRCP, {target_col}) = {prcp_corr:.3f}\")\n",
    "\n",
    "            # Simple regression for a visual fit line\n",
    "            Xp = pr[[\"PRCP\"]].values\n",
    "            yp = pr[target_col].values\n",
    "            lr = LinearRegression().fit(Xp, yp)\n",
    "            yp_hat = lr.predict(Xp)\n",
    "\n",
    "            plt.figure(figsize=(9,5))\n",
    "            plt.scatter(pr[\"PRCP\"].values, yp, label=\"Years\")\n",
    "            plt.plot(pr[\"PRCP\"].values, yp_hat, label=\"Linear fit\")\n",
    "            plt.xlabel(\"PRCP (inches)\"); plt.ylabel(f\"{target_col} (°F)\")\n",
    "            plt.title(f\"{target_col} vs Precipitation\")\n",
    "            plt.legend(); plt.tight_layout(); plt.show()\n",
    "        else:\n",
    "            prcp_corr = None\n",
    "            print(\"Not enough clean (PRCP & temp) years for correlation/regression.\")\n",
    "    else:\n",
    "        prcp_corr = None\n",
    "        print(\"No temperature column (TAVG/TMAX/TMIN) found for correlation.\")\n",
    "else:\n",
    "    prcp_corr = None\n",
    "    print(\"PRCP not available; skipping precipitation analysis.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f2bfc52-9714-403d-858b-648b78e9d482",
   "metadata": {},
   "source": [
    "Conclusion: Degree-Day Indicators (Heating and Cooling Demand)\n",
    "\n",
    "This particular analysis applied simple plotting to understand energy-related climate effects using heating degree days (HTDD) and cooling degree days (CLDD). The code used plt.plot() for each metric over time to visualize how cumulative heating and cooling requirements shift as the climate changes. We chose this code because it effectively shows directional trends without over-complicating the analysis, emphasizing clarity and interpretability. The resulting chart showed that HTDD values have decreased while CLDD values have increased, implying fewer cold-season heating needs and greater summer cooling demand. These findings reinforce the regression evidence of a warmer local climate and demonstrate how simple line plots can translate numerical indicators into actionable insights for energy planning."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b63fd77e-fd55-420c-bcf7-a53b78b31332",
   "metadata": {},
   "source": [
    "**Analysis 5 — Degree-day indicators (energy demand)**\n",
    "\n",
    "*Question:* Do degree-day indicators support warming (less heating, more cooling)?\n",
    "\n",
    "*Method:* Plot annual HTDD and CLDD totals and describe the direction of change."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "a37e8633-a1fc-4020-8caf-f8001211656e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#ANALYSIS 5: Degree Days\n",
    "has_htdd = \"HTDD\" in annual.columns\n",
    "has_cldd = \"CLDD\" in annual.columns\n",
    "\n",
    "if has_htdd or has_cldd:\n",
    "    mask_dd = annual[\"Year\"].notna()\n",
    "    ann_dd = annual.loc[mask_dd].copy().sort_values(\"Year\")\n",
    "\n",
    "    plt.figure(figsize=(9,5))\n",
    "    if has_htdd: plt.plot(ann_dd[\"Year\"], ann_dd[\"HTDD\"], label=\"HTDD\")\n",
    "    if has_cldd: plt.plot(ann_dd[\"Year\"], ann_dd[\"CLDD\"], label=\"CLDD\")\n",
    "    plt.xlabel(\"Year\"); plt.ylabel(\"Degree Days\")\n",
    "    plt.title(\"Heating vs Cooling Degree Days\")\n",
    "    plt.legend(); plt.tight_layout(); plt.show()\n",
    "else:\n",
    "    print(\"No HTDD/CLDD columns found.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56d635e1-9fea-4421-94f2-b8e53f0049e1",
   "metadata": {},
   "source": [
    "**EXTREMES**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "180168ef-f28f-4b47-954c-9713033ec907",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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RGxs7qt8DEdFYMMgjIurn73//O9566y3Mnz8fTz31FK6//nqcffbZo3qN0y+Kk5OTIQiCZw/Y6YZ6zBcJCQlQq9W45ZZbcP/99w/5nLy8PJ9fXxRFbN68GTExMZ6L7o0bN0Kr1eLNN98ccJH++uuv+/w+N910Ex566CH86U9/woIFC1BXVzfs72co2dnZXgUFQ/05AcC///3vQWP8+5P6rqqrq70+U39D9e3V1dUBGDpQOpPi4mLs378fzz33HFatWuV5XOoT81VSUhK+/PJLiKI44GslZaakr9dYSa/T0tLil9cDXH2x999/P371q1/h7rvvRlRU1IjPf+CBB9DS0oL3338fU6dOxWuvvYZvf/vbuPjii4cM5mfOnOnV77+lpQV6vZ4BHhEFHYM8IiK3gwcP4hvf+AZuvfVWbNiwAYsWLcL111+PvXv3IiEhAUBfQDaa7Mjll1+OX/3qV6ipqcF1110XkLMDQHR0NJYtW4a9e/dixowZnkyfv6xduxYlJSX44Q9/6AnoBEGARqMZUNLa29uLF154wef3MRgMuOeee/DUU09h69atmDVrFhYvXjzm85/JxRdfDI1Gg9LS0kGlnP1NmjQJBQUFeOaZZ/Dtb3971EF6Z2cn3njjjQElm//617+gUqlw7rnnDvt5w33vSQHY6ef461//6vVrDOUrX/kKXnnlFbz++usDBt48//zzno/7g1R2XFpa6pfXA1xrF37yk5/g008/xerVq0d87qZNm/Diiy/i8ccf95zlb3/7G4qKinD33Xfj7bff9vkcZWVlsq6mIKLIxSCPiCJCcXHxkH0xBQUFSElJQXd3N6677jrk5eXhz3/+M3Q6HV555RXMmTMHt99+uyczZTQakZubi02bNuErX/kKEhMTkZycPOJy6sWLF+Oee+7B7bffjl27duHcc89FTEwMamtr8fnnn2P69OlnvBD11pNPPoklS5bgnHPOwerVqzF+/Hh0dnbixIkT2Lx5Mz788MMzvkZbW5und6+7u9uzDP2zzz7DddddN2BK52WXXYbf/e53uOmmm3DPPfegubkZv/nNb8acnfza176GX//619i9ezf+/ve/j+m1vDV+/Hj89Kc/xY9+9COUlZVh+fLlSEhIQH19PXbs2IGYmBjP7/1Pf/oTVqxYgQULFuBb3/oWxo0bh8rKSrzzzjtDLu7uLykpCatXr0ZlZSUmTZqE//3vf9iwYQNWr16NcePGDft5RUVFAFwBiNFohMFgQF5eHqZMmYKCggL84Ac/gCiKSExMxObNm/Hee+8Neo3p06cDcH2frFq1ClqtFpMnTx7QSye59dZb8ac//QmrVq3CyZMnMX36dHz++ef45S9/iUsvvRQXXHCB11/bkWRnZyM/Px/bt2/HN77xjUEf7+3tHbaXdKT9ed/+9rfx7W9/e8T3bmpqwr333otFixYNeG5WVhZ+//vf4/bbbx+xbHMkTqcTO3bs8OlziYjGTMahL0REATfSdE0A4oYNG0RRFMWVK1eK0dHR4qFDhwZ8vjTR8Pe//73nsffff1+cPXu2qNfrRQDiqlWrRFHsm7zX2Ng45FmeeeYZ8eyzzxZjYmLEqKgosaCgQLz11lsHTNI877zzxGnTpg363OGmXgIQ77///gGPlZeXi3fccYeYlZUlarVaMSUlRVy0aJH485///Ixfr9zcXM/XRhAEMTY2Vpw8ebJ4yy23iO+8886wv6/JkyeLer1ezM/PFx977DHx6aefHnKy5Jmma/a3dOlSMTExUezp6TnjuaXfNwDx8ccfH/F50vfEzp07h/z466+/Li5btkyMi4sT9Xq9mJubK15zzTXi+++/P+B527ZtEy+55BLRZDKJer1eLCgoEL/1rW8Nep/TvwbTpk0TP/74Y3Hu3LmiXq8XMzIyxB/+8IeizWYb8PpDfW2eeOIJMS8vT1Sr1SIA8dlnnxVFURRLSkrECy+8UDQajWJCQoJ47bXXipWVlUO+xsMPPyxmZmaKKpVqwLTOof58mpubxfvuu0/MyMgQNRqNmJubKz788MOi2WwedNbTvw9F0fX9JP39GMkjjzwiJiQkDHrdkaZrAvB8zfpP1xzJ6dM1r732WjE6Olo8duzYkM+/9NJLxbi4OLGyslIUxTP/He/vgw8+EAGIu3fvPuNziYj8TRDFIUalERERyaihoQG5ubl44IEH8Otf/1ru4/jN0qVL0dTUhOLiYrmPoiinTp1CXl4enn/+eVx//fVyH8cvbrnlFpSVleGLL76Q+yhEFIG4QoGIiBSjuroan376Ke68806oVKoRF4RT+MjMzMSDDz6IX/ziF0MuOQ81paWlePnll7Fu3Tq5j0JEEYpBHhERKcbf//53LF26FIcOHcI///lPZGVlyX0kCpIf//jHuPrqq1FTUyP3UcassrISTz31FJYsWSL3UYgoQrFck4iIiIiIKIwwk0dERERERBRGGOQRERERERGFEQZ5REREREREYSSkl6E7nU6cOnUKRqMRgiDIfRwiIiIiIiKviaKIzs5OZGZmQqXyX/4tpIO8U6dOIScnR+5jEBERERER+ayqqgrZ2dl+e72QDvKMRiMA1xclLi5O5tMQERERERF5r6OjAzk5OZ64xl9COsiTSjTj4uIY5BERERERUUjyd+sZB68QERERERGFEQZ5REREREREYYRBHhERERERURhhkEdERERERBRGGOQRERERERGFEQZ5REREREREYYRBHhERERERURiRNcgbP348BEEY9Ov++++X81hEREREREQhS9Zl6Dt37oTD4fD8d3FxMS688EJce+21Mp6KiIiIiIgodMka5KWkpAz471/96lcoKCjAeeedJ9OJiIiIiIiIQptievKsVitefPFF3HHHHRAEQe7jEBERERERhSRZM3n9vf7662hra8Ntt9027HMsFgssFovnvzs6OoJwMiIiIiIi/3A4Rewob0FDpxmpRgPm5yVCrWKCg/xLMUHe008/jUsuuQSZmZnDPuexxx7D2rVrg3gqIiIiIiL/2FJci7WbS1DbbvY8lmEyYM2KQiwvypDxZBRuBFEURbkPUVFRgfz8fPz3v//FlVdeOezzhsrk5eTkoL29HXFxccE4KhERERHRqG0prsXqF/fg9AtvKYe3fuUcBnoRqKOjAyaTye/xjCIyec8++yxSU1Nx2WWXjfg8vV4PvV4fpFMREREREY2dwyli7eaSQQEeAIhwBXprN5fgwsJ0lm6SX8g+eMXpdOLZZ5/FqlWroNEoIuYkIiIiIvKbHeUtA0o0TycCqG03Y0d5S/AORWFN9iDv/fffR2VlJe644w65j0JERERE5HcNncMHeL48j+hMZE+dXXTRRVBAWyARERERUUCkGg1+fR7RmcieySMiIiIiCmfz8xKRYTJguG47Aa4pm/PzEoN5LApjDPKIiIiIiAJIrRKwZkXhkB+TAr81Kwo5dIX8hkEeEREREVGALS/KwPqVcxCrVw94PN1k4PoE8jsGeUREREREQbC8KAPnT0n1/LcpSovPHzqfAR75HYM8IiIiIqIgqWrt9fz/9l4b7E6njKehcMUgj4iIiIgoSCqbewb8d20b1yaQ/zHIIyIiIiIKgi6LHc3dVgBAqlEPADjV1jvSpxD5hEEeEREREVEQSFm8hGgtJqcbAQDVDPIoABjkEREREREFQWWLK8gblxiN7IQoAMzkUWAwyCMiIiIiCoLKlm4AwLikGGSaXEFeTSuDPPI/BnlEREREREHQl8mLQpaUyWtnkEf+xyCPiIiIiCgIKtw9ebmJMciMZyaPAodBHhERERFREFS5M3k5idHIipcyeWY4naKcx6IwxCCPiIiIiCjAHE4R1e6sXW5SNNJNBqgEwGp3oqnbIvPpKNwwyCMiIiIiCrBTbb2wO0Xo1CqkxRmgdf+v62NciE7+xSCPiIiIiCjApFLN7MQoqFUCALAvjwKGQR4RERERUYBV9NuRJ/H05XFXHvkZgzwiIiIiogCT1ifk9gvyPJk8BnnkZwzyiIiIiIgCrLK5b7KmJCve1ZPHII/8jUEeEREREVGAeTJ5STGexzwL0RnkkZ8xyCMiIiIiCrCK5m4AA3vyWK5JgcIgj4iIiIgogNp7bOgw2wEMPXilrceGbotdlrNReGKQR0REREQUQBUtrixeilGPKJ3a87jRoIXRoAHAkk3yLwZ5REREREQBNNRkTUkWSzYpABjkEREREREFUEXz4B15EgZ5FAgM8oiIiIiIAqiqZfD6BAknbFIgMMgjIiIiIgogKZOXmzQ4yPNM2GxlkEf+wyCPiIiIiCiApJ68kco1T7WZg3omCm8M8oiIiIiIAsRqd6K23ZWlGzdSJo/lmuRHDPKIiIiIiAKkpq0XThGI0qqREqsf9PFsd09eXYcZdocz2MejMMUgj4iIiIgoQPqXagqCMOjjKbF6aNUCHE4R9Z2WYB+PwhSDPCIiIiKiAKlsdi1CH2qyJgCoVAIyTJywSf7FII+IiIiIKEA8i9CH6MeTZMYbAHDCJvkPgzwiIiIiogAZaRG6JCve9TEOXyF/YZBHRERERBQgnp68ETJ5WVImj0Ee+QmDPCIiIiKiABBFccQdeZLMePbkkX8xyCMiIiIiCoDmbit6rA4IQt+qhKFkJTDII/9ikEdEREREFABSP15GnAF6jXrY53kWorf2QhTFoJyNwhuDPCIiIiKiAKjyoh8PALLcQV631YGOXnvAz0Xhj0EeEREREVEAeDNZEwAMWjWSYnQAgOq2noCfi8IfgzwiIiIiogDwZuiKpK8vzxzQM1FkYJBHRERERBQAlS3dAIBxSTFnfG6mSerLYyaPxo5BHhERERFRAPiUyWtnJo/GjkEeEREREZGfmW0O1HdYAAC5XgR5/SdsEo0VgzwiIiIiIj+TJmsa9RrER2vP+HxpwmYNd+WRHzDIIyIiIiLys8p+6xMEQTjj8xnkkT8xyCMiIiIi8jNv1ydIpJ68xk4LLHZHwM5FkYFBHhERERGRn1V6uQhdkhCthUHrujSv5RoFGiMGeUREREREfjaayZoAIAiCp2TzFEs2aYwY5BERERER+ZkU5OUmnnlHnkSasFnNII/GiEEeEREREZEfOZ3iqDN5AJjJI79hkEdERERE5EcNnRZY7U6oVQIy4w1efx6DPPIXBnlERERERH5U0dwNwBW0adTeX25nco0C+QmDPCIiIiIiP/L043k5WVMirVE4xemaNEYM8oiIiIiI/EgK8nJG0Y8HDFyI7nSKfj8XRQ4GeUREREREftQ3WXN0QV66yQBBAKx2J5q7rYE4GkUIBnlERERERH5U0Tz6yZoAoFWrkGZ0DWphXx6NBYM8IiIiIiI/qvKxXBPo35fHII98xyCPiIiIiMhPuix2T6nluFEOXgH6TdhsZZBHvmOQR0RERETkJ5XuUs2EaC3iDNpRf34W1yiQHzDIIyIiIiLyE2noyrikGJ8+PyuePXk0dgzyiIiIiIj8pLLFtQh9tENXJOzJI39gkEdERERE5Ce+rk+QZLJck/yAQR4RERERkZ/4uj5BIvXktfXY0G2x++1cFFkY5BERERER+UmVpyfPtyDPaNDCaNAAYMkm+Y5BHhERERGRH9gdTlS7Vx/4mskDOGGTxo5BHhERERGRH9S2m2F3itCpVUiPM/j8OgzyaKxkD/JqamqwcuVKJCUlITo6GrNmzcLu3bvlPhYRERER0ahIQ1eyE6OgUgk+v440fIXlmuQrjZxv3traisWLF2PZsmV4++23kZqaitLSUsTHx8t5LCIiIiKiURvrZE1J3xoF85jPRJFJ1iBv3bp1yMnJwbPPPut5bPz48fIdiIiIiIjIR2OdrCnxrFFoZSaPfCNrueYbb7yBuXPn4tprr0Vqaipmz56NDRs2yHkkIiIiIiKf9E3WjBnT67Anj8ZK1iCvrKwM69evx8SJE/HOO+/gvvvuwze+8Q08//zzQz7fYrGgo6NjwC8iIiIiIiWoaOkGMPZMnhTk1XWYYXc4x3wuijyyBnlOpxNz5szBL3/5S8yePRv33nsv7r77bqxfv37I5z/22GMwmUyeXzk5OUE+MRERERHR0Cr9VK6ZatRDqxbgcIpo6LT442gUYWQN8jIyMlBYWDjgsalTp6KysnLI5z/88MNob2/3/KqqqgrGMYmIiIiIRtTWY0WH2Q5g7EGeSiUg3eRawcCSTfKFrINXFi9ejKNHjw547NixY8jNzR3y+Xq9Hnq9PhhHIyIiIiLymjRZM8WoR5ROPebXy4qPQlVLL9cokE9kzeR961vfwvbt2/HLX/4SJ06cwL/+9S/87W9/w/333y/nsYiIiIiIRsVf6xMk0oTNak7YJB/IGuTNmzcPr732Gl566SUUFRXhZz/7GZ544gncfPPNch6LiIiIiGhU/LU+QZLNheg0BrKWawLA5Zdfjssvv1zuYxARERER+axvfYJ/M3nsySNfyJrJIyIiIiIKB/7O5GUlMJNHvmOQR0REREQ0Rp6ePH9n8lp7IYqiX16TIgeDPCIiIiKiMbDanahtd2Xccvw1eMXkCvK6rQ509Nr98poUORjkERERERGNQU1bL5wiEKVVIyXWP+u+onRqJMXoAADVbT1+eU2KHAzyiIiIiIjGoKK5G4CrH08QBL+9bqZnwqbZb69JkYFBHhERERHRGPh7sqYky9OXx0wejQ6DPCIiIiKiMfD3ZE2JJ5PXzkwejQ6DPCIiIiKiMfD3ZE2JtEaBu/JotBjkERERERGNgRTk+WuypiQr3gDAtUaBaDQ0ch+AaKwcThE7ylvQ0GlGqtGA+XmJUKv81/RMRERENBxRFPsyeX4P8lyvx4XoNFoM8iikbSmuxdrNJajtV6ueYTJgzYpCLC/KkPFkREREFAmauqzosTogCH3llf6S6c7kNXRaYLE7oNeo/fr6FL5Yrkkha0txLVa/uGdAgAcAde1mrH5xD7YU18p0MiIiIooUUhYvI87g9yAsMUYHg9Z1uV7H4Ss0CgzyKCQ5nCLWbi6BOMTHpMfWbi6BwznUM4iIiIj8o7LFvSPPz0NXAEAQBM+ETfbl0WgwyKOQtKO8ZVAGrz8RQG27GTvKW4J3KCIiIoo4lc2u4Mvf6xMknl157MujUWCQRyGpodO7kgVvn0dERETki771CTEBeX0GeeQLBnkUklKNBr8+j4iIiMgXUrmmv9cnSKQgjxM2aTQY5FFImp+XiAyTAcMtShDgmrI5Py8xmMciIiKiCBOo9QmSTGbyyAcM8igkqVUC1qwoHPJjUuC3ZkUh9+URERFRwJhtDtR3WAAEricv05PJYwsKeY9BHoWs5UUZePjSKYMeTzcZsH7lHO7JIyIiooCqcmfxjAYN4qO1AXmP7IS+TJ6TU8PJS1yGTiEtLW5gz935U1Kw4dZ5zOARERFRwFU0u4K8cYnREITAXHukxRkgCIDV7kRztxUpRn1A3ofCCzN5FNJKG13NzkkxOgBAfYeFAR4REREFRd9kzcCUagKATqNCmnuQHPvyyFsM8iiklTZ0AQBWzMwEAByt64TZ5pDzSERERBQhpCAvUJM1JZnxriCPEzbJWwzyKKSdcAd5501KQWKMDnaniMO1HTKfioiIiCJB32TNwOzIk2QluIJIBnnkLQZ5FLLsDifKm1zlmhNSYzEj2wQAOFjTLuexiIiIKEJUNLuuQwI1WVMiZfKqWxnkkXcY5FHIqmrthdXhhEGrQlZ8FGZkuYK8/VUM8oiIiCiwnE4RVe6gK5A9eQCQzYXoNEoM8ihkSf14+cmxUKkEzMiOBwAcrGmT71BEREQUEeo7zbDanVCrBGSYDGf+hDHgQnQaLQZ5FLJONLqCvAmpsQDgKdc80dCFbotdtnMRERFR+Kt0r0/Iio+CRh3YS+qsBGbyaHQY5FHIkoauFKS4grzUOAPS4wxwisChUxy+QkRERIFTEYT1CRIpk9faY0OPlTey6cwY5FHIkoI8KZMHANPd2bwD1W1yHImIiIgiRFWQ1icAQJxBC6NBA4DZPPIOgzwKSaIoenry+gd5Mz1BHoevEBERUeD0rU8IfJAHuMpCAU7YJO8wyKOQ1NhpQafFDpUAjE/u++E63T18hZk8IiIiCqQKd09eoNcnSLI8EzbNQXk/Cm0M8igkSaWauUkx0GvUnselNQonm3vQ3mOT5WxEREQU/qRyzXFB6MkD+k/Y7AnK+1FoY5BHIUmarFmQEjPg8YQYHXISXT8EuRSdiIiIAqHLYkdztxVAEDN5CczkkfcY5FFI8kzW7NePJ5H25R3gvjwiIiIKAGl9QmKMDkaDNijv6cnksSePvMAgj0JSqbQjL2WIIM9dsnmgipk8IiIi8r/Klm4AwZmsKcmKdy1c50J08gaDPApJQ61PkEiZPJZrEhERUSAEe7ImAGTFu96rrsMMu8MZtPel0MQgj0JOh9mG+g4LgKHLNYuy4iAIrjtdTV2WYB+PiIiIwlywJ2sCQIpRD41KgMMpoqGT1zc0MgZ5FHKk/XipRj3ihqiDNxq0yE92DWQ5yH15RERE5GeVQZ6sCQBqlYAMlmySlxjkUcgZqVRTIpVs7ue+PCIiIvIzT5AXxEweAGSapAmbDPJoZAzyKOSUNrqanUcO8lzDV5jJIyIiIn+yO5yeCZe5QczkAX1rFJjJozNhkEchx7tMnivI21/dDlEUg3IuIiIiCn+17WbYnSJ0GhXSjIagvncW1yiQlxjkUcgp9SxCHz7IK8wwQa0S0NRlQV0Hl4YSERGRf0ilmjkJUVCphKC+txTksVyTzoRBHoUUi92BiuYzl2tG6dSY6P74fu7LIyIiIj+RY7KmxLMQnUEenQGDPAopJ5t64BQBo16DVKN+xOfO9OzLawv8wYiIiCgiyDV0BejXk9fay3YUGhGDPAopnlLN1FgIwsglEtPdfXkHOHyFiIiI/KSyxVVRNC4pJujvLU3X7LY60NFrD/r7U+hgkEchxZuhKxIpk3eAw1eIiIjIT+TM5EXp1EiK0QFgySaNjEEehRQpyBtp6IpkcroROrUK7b02zw9kIiIiorGodPfkBXt9goR9eeQNBnkUUkaTydNpVJiaYQTAkk0iIiIau7YeKzrMrjLJnAR5gjxO2CRvMMijkOF0iihr8j7IA/r35bUF6lhEREQUIaTKoFSjHlE6tSxnYCaPvMEgj0JGTVsvzDYndGoVctzTpc5kRr++PCIiIqKxkHN9giQz3rWAnUEejYRBHoWME+7JmuOTo6FRe/etO8OdySuuaYfDyeErRERE5DvP0BWZ+vEAILvfGgWi4TDIo5BROop+PMmElFhEadXotjpQ7i71JCIiIvJFpSIyeezJozNjkEchwzN0xYvJmhKNWoVpmXEAgP1VLNkkIiIi30mZPLkmawJ9g1caOi2w2B2ynYOUjUEehYz+i9BHQ+rLO1jDII+IiIh8J+eOPElijA4GresSvq7dLNs5SNkY5FHIGM36hP6kvrz9nLBJREREPrLanTjV7iqRHJcYI9s5BEHom7DJvjwaBoM8CgnNXRa09tggCEB+sm9BXsmpDtgczkAcj4iIiMJcdWsPRBGI1qmRHKuT9SxZXKNAZ8Agj0KClMXLio8a9V6a8UkxMOo1sNidOFbfGYjjERERUZjrX6opCIKsZ+lbiM5yTRoagzwKCdL6hNGWagKASiV4lqIf5L48IiIi8oEU5OXI2I8n6VuI3iPzSUipGORRSCht6AYwusma/U339OUxyCMiIqLRU8L6BAkzeXQmDPIoJIwlkwcAMz0TNtv8dCIiIiKKJBUKWJ8gyWRPHp0BgzwKCdIi9NGuT5BMz3Jl8o7UdsJs404ZIiIiGp0qBZVrZif0BXmiKMp8GlIiBnmkeN0Wu+dOla/lmtkJUUiM0cHuFHGkjsNXiIiIyHuiKPYtQldAkJcWZ4AguNY6NHVZ5T4OKRCDPFK88iZXP15SjA4JMb6NLBYEwZPNO8B9eURERDQKTV1W9FgdEAQgy51Fk5NOo0Ka0QAAOMWSTRoCgzxSvBNjLNWUzMyWgjwOXyEiIiLvSVm8TFMU9JrRrXIKlMx4V5DHvjwaCoM8UjxPkOdjqaZkunv4CjN5RERENBqVLa6qopxE+bN4kkzPhE0GeTSYRu4DEJ2JFOT5OllTMsOdyTvR0IVuix0xen77ExGdzuEUsaO8BQ2dZqQaDZiflwi1St7Fz0Ryq2x2BVK5iTEyn6SPVDZa3cogjwbjVS4p3ljXJ0jS4gxIi9OjvsOCQ6c6MD8v0R/HIyIKG1uKa7F2cwlq2/t2b2WYDFizohDLizJkPBmRvCrcmbxxClifIMliJo9GIGu55qOPPgpBEAb8Sk9Pl/NIpDA2hxMVze5F6GMM8gBgBks2iYiGtKW4Fqtf3DMgwAOAunYzVr+4B1uKa2U6GZH8pPUJSliELsnirjwagew9edOmTUNtba3n18GDB+U+EilIZUsPbA4R0To1MuIMY369GVkcvkJEdDqHU8TazSUYatuW9NjazSVwOLmPiyJTRbPygjz25NFIZC/X1Gg0zN7RsKR+vPyUGKj80BMyIyceAHCwhkEeEZFkR3nLoAxefyKA2nYzdpS3YGFBUvAORqQAvVYHGjotAIBcJZVrunvyWnts6LHaEa2T/bKeFET2TN7x48eRmZmJvLw83HDDDSgrKxv2uRaLBR0dHQN+UXjzDF0Z42RNibQrr7ypG+29Nr+8JhFRqGvoHD7A8+V5ROGkqtWVxTMaNDBFaWU+TZ84gxZG9xA5ZvPodLIGeWeffTaef/55vPPOO9iwYQPq6uqwaNEiNDc3D/n8xx57DCaTyfMrJycnyCemYCv102RNSWKMzjP+uJjZPCIiAECq0btyeG+fRxROKt2lmrlJ0RAEZU2albJ5NW28AUMDyRrkXXLJJbj66qsxffp0XHDBBXjrrbcAAP/4xz+GfP7DDz+M9vZ2z6+qqqpgHpdkUOqnyZr9zciKBwDs5/AVIiIAwPy8RGSYDBju8lWAa8ompxJTJKpQ4NAVidSXV8M1CnQa2cs1+4uJicH06dNx/PjxIT+u1+sRFxc34BeFL1EUUdrov8maEmlf3kEOXyEiAgCoVQLWrCgc8mNS4LdmRSH35VFE6pusqZwdeRKuUaDhKCrIs1gsOHz4MDIyuIuHgLoOM7osdqhVgl9/sE7P5oRNIqLTLS/KwK+vmTHo8dQ4PdavnMM9eRSxpFVOis7kMcij08ga5H33u9/FJ598gvLycnz55Ze45ppr0NHRgVWrVsl5LFIIaehKblI0dBr/fatKw1dq2nrR1GXx2+sSEYW6+GgdACAr3oBUox4A8NMrihjgUUSrVHC5Zl9PHoM8GkjWIK+6uho33ngjJk+ejKuuugo6nQ7bt29Hbm6unMcihSj182RNidGgRX6KKzPIkk0ioj57KlsBAEsmpODCwjQAwPbyoYehEUUCp1NElbvfTUnrEyRZ8a5hSOzJo9PJulBj48aNcr49KdyJAAxdkczMjkdZYzcOVLdj2ZRUv78+EVEo2l3hCvLOyk1AtF6Nf35ZiW2lDPIoctV3mmG1O6FRCcgwKW+6bFa8K/Cs6zDD4RTZN0seiurJI+pPKtcs8HMmD+gr2TzACZtERAAAm8Pp+Zk4JzceC/JdS8+P1HWimaXtFKGk9QlZCVHQqJV32Zxi1EOjEuBwiqjv4BoF6qO871YitxMN/p+sKZmZ4w7yatohiqLfX5+IKNQcru2A2eaEKUqL/ORYJMfqMSXdCAD4srxF5tMRyUPJ6xMA12TcdHeGkRM2qT8GeaRI7T02z1CUggAEeYUZJqhVAho7LajjnS8iIuxxl2rOHhcPlbvkS8rmbS1tku1cRHKqUniQB/StUeDwFeqPQR4pktSPl2EyIFbv/9bRKJ0aE93BI1cpEBEBuyvbAABnjUvwPLaoQAry2JdHkamimUEehSYGeaRInsmaAcjiSWZksy+PQofDKWJbaTM27avBttJmOJwsMyb/kjJ5c3L7gryz85IgCEBZYzf7fSgiSesTlDhZU+JZo8AJm9SPrNM1iYYjZfICMXRFMiM7Hq/sqmYmjxRvS3Et1m4uQW1730V2hsmANSsKub+M/KK+w4yatl6oBGBmTrzncVO0FkWZJhysace20mb83+ws+Q5JJAMpyMtRcCZPWojOnjzqj5k8UiTPZM0gZPIOcvgKKdiW4lqsfnHPgAAPAOrazVj94h5sKa6V6WQUTqQs3uT0uEEl8n0lm+zLo8jSabahpdsKgOWaFHr8FuS1tbX566WIPEGevxeh9zc53QidWoW2HhuqWviDkZTH4RSxdnMJhroFIT22dnMJSzdpzPr248UP+tgCd5C3rYx9eRRZpCxeYowORoNW5tMMT8rk1bT28qY1efgU5K1btw4vv/yy57+vu+46JCUlISsrC/v37/fb4SgymW0OVLW6frAGsidPr1FjSoZrPPh+9uWRAu0obxmUwetPBFDbbsYOjrenMdpT6e7H6zd0RTJvfCI0KgFVLb2eSYNEkSAUJmsCfZm8bqsDHb12mU9DSuFTkPfXv/4VOTk5AID33nsP7733Ht5++21ccskl+N73vufXA1LkKW/qhigCcQYNkmN1AX2v/iWbRErT0OndoAtvn0c0FIvdgeKaDgDAWbmDg7xYvcbTp8dsHkWSUJisCbgmhifGuK6XWLJJEp+CvNraWk+Q9+abb+K6667DRRddhO9///vYuXOnXw9IkedEv8magiAE9L1mZMUDAPZXtQX0fYh8kWo0+PV5REMprumA1eFEUoxu2IvZhe59edu4SoEiSChM1pRkcfgKncanIC8hIQFVVVUAgC1btuCCCy4AAIiiCIfD4b/TUUQ6EYT1CZIZOa5MXnFNO5zsayKFOdbQOeLHBbimbM7PSwzOgSgs9V+dMNyNtf7DV9jzQ5EiFCZrSjLjXTf7mMkjiU8rFK666ircdNNNmDhxIpqbm3HJJZcAAPbt24cJEyb49YAUeUobgxfkTUiJhUGrQrfVgbKmLkxINQb8PYnOxOZw4qebS/DC9grPYwIwYACLdCm+ZkUh1KrAZrwpvI3UjyeZk5sAnVqF+g4Lypu6kR/AoVhESlEZIj15AJAV7zojM3kk8SmT9/vf/x5f//rXUVhYiPfeew+xsa4f9rW1tfja177m1wNS5AlmJk+jVqEoU1qKzr48kl9rtxW3Pr0DL2yvgCAA318+GetvnoN008CSzHSTAetXzuGePBoTURT7TdYcPsgzaNWY4568uZUlmxQB7A6nZ7l4KJRrSpm8agZ55OZTJk+r1eK73/3uoMcffPDBsZ6HIpzDKaKsqRtAYBeh9zc924RdFa04UN2Oq+ZkB+U9iYZyvL4Td/5jFypbehCjU+PJG2bjgsI0AMBF09Lx109O4NfvHENmvAGfff98ZvBozGraetHQaYFGJXgGUQ1nUUEytpe1YFtpM1YuyA3SCYnkUdtuht0pQqdRIS0E+p6zE9iTRwP5vCfvhRdewJIlS5CZmYmKCldJ0RNPPIFNmzb57XAUeapbe2C1O6HTqJCdEJw7ZzOz4wEAB7hGgWT04ZF6fPXPW1HZ0oPshCj892uLPQEeAKhVAq6bNw6A6+Kj18b+Zxo7KYs3LTMOBq16xOcudPflbS9rZg8zhT1PP15CFFQhcEOt/648IsDHIG/9+vX49re/jUsuuQRtbW2eYSvx8fF44okn/Hk+ijBSqWZ+ckzQshTT3XevD53qgM3hDMp7EklEUcRfPynFnf/YhS6LHWfnJeKNry/B5PTB/aHJsXpkxUdBFIGDLC8mP9hb2QYAmD1CP55kZnY8orRqNHdbzzgUiCjUhcr6BIk0XbOh0wKLnTcByccg749//CM2bNiAH/3oR1Cr++78zZ07FwcPHvTb4SjyBHPoiiQvKQZGvQYWuxPH67uC9r5EZpsD33llPx57+whEEbjp7HF44c6zPfuOhjI9S+ohbQvSKSmcedOPJ9FpVJjnnuTKVQoU7vrWJ8TIfBLvJMbooNe4Luvr2rk7lXwM8srLyzF79uxBj+v1enR3d4/5UBS5gjl0RaJSCSjihTMFWUOHGTf8bTv+u7cGapWAn145Db/4vyLoNCP/WJbWfhyoYSaPxqbHakdJrWsJ+hwvgjygb18eh69QuKtscV3PhsL6BAAQBMGTzeMaBQJ8DPLy8vKwb9++QY+//fbbKCwsHOuZKIJJQV6whq5IeOFMwXSwuh1XPPUF9lW1wRSlxfN3zMetC8cPu6OsP/aQkr8cqG6HwykiPc6ATJN3gyUW9evLc7Avj8bI4RSxrbQZm/bVYFupsr6nPJm8EAnyACArgX151Men6Zrf+973cP/998NsNkMURezYsQMvvfQSHnvsMfz973/39xkpQoiiKEsmDwBmZMUD4IUzBd6bB07hu6/uh9nmREFKDP6+ah7ykr0vB5KyzlUtvWjpto5Y2kk0Es9+vNx4r24wAK4BLUa9Bp1mO0pOdXh6molGa0txLdZuLkFtv9LCDJMBa1YUyr4aRhTFvp68EFifIMk0SRM2Wa5JPgZ5t99+O+x2O77//e+jp6cHN910E7KysvDkk0/ihhtu8PcZKUI0dlnQYbZDJWBUF73+II0OP1rXCbPNccYpc0Sj5XSKeOL9Y/jDhycAAEsnp+APN85GnEE7qtcxRWmRlxyD8qZuHKhuw9LJqYE4LkWAPRVnXoJ+Oo1ahbPzE/H+4QZsLW1ikEc+2VJci9Uv7sHpebu6djNWv7hH9h2g7b02dJrtAICcIE369gdPJq+tR+aTkBL4vELh7rvvRkVFBRoaGlBXV4eqqirceeed/jwbRZjShr7692AHWdkJUUiI1sLmEHGkjlPjyL+6LXas/uduT4B3z7n5eHrVvFEHeBLppgQnbJKvRFHEHvdkTW/78SQLC5IBsC+PfONwili7uWRQgAfA89jazSWylm5KWbxUox5RutC56SutUWAmj4AxBHmS5ORkpKbyTjKN3YlGefrxAFfD8gx3r9NBlmySH1W39uDq9VvxzqF66NQq/ObamfjhpVPHtCJE+l7dzyCPfHSyuQct3VboNCpMy4wb1edKw1d2nmzh2hkaFYvdgf/uqR5Qonk6Ea5doDvKW4J3sNP0TdYMnSweAA5eoQF8Ktesr6/Hd7/7XXzwwQdoaGiAKA682yLtzSMajVKZ+vEkM7JN+ORYI/ZXt+MWWU5A4WbXyRbc+8JuNHdbkRyrw19vOQtn5SaO+XVnZnMaLI2NVKo5PcsEvWZ0mYop6UYkRGvR2mPDgeo2v3xPk3wcThE7ylvQ0GlGqtGA+XmJY7oJ5XSKqO0wo7yxG2VNXShr7EZZUzfKm7pQ09oLbxN0DZ3yZaM8i9BDaOgKMDDIE0XR615bCk8+BXm33XYbKisr8cgjjyAjI4PfROQXnqErMmTyAPTL5DE7QmP3ys4q/Oj1g7A5RBRmxGHDqrmef4DHqjAzDirBtfS2rt2MdC8nIxJJdld6vx/vdCqVgIUFSfjfwTpsK21mkBfCxjL8pL3HhtKmLpQ3dqO8qS+gO9ncDbNt+AxvlFaF3hE+Lkk1yvdzrbJZmqwZGjvyJOkmAwQBsNqd7puLermPRDLyKcj7/PPP8dlnn2HWrFl+Pg5FMmkReoGMmTwAON7QiR6rHdE6n/56UISzO5x47O0jePrzcgDApdPT8ZtrZ/r1+ylap8GkNCOO1HXiQHUb0k3pfnttigx9Q1fiffr8hfmuIG9raTO+fv5EP56MgsWb4SfLpqSiornHnY3rH9B1o6XbOuxra9UCxiVGIy85FvkpMchPjkFecgzyU2KREK3FOb/+CHXt5iH78gS4gpX5efLdPKhw78gbl+SfG3PBotOokGrUo77DgprWXgZ5Ec6nq46cnJxBJZpEY9FlsXvuJMqVyUuLMyAtzvXD8dCpDswbz7vTNDrtvTY88NJefHqsEQDw4AUT8Y3zJ0I1htKn4czINrmDvHZcNI1BHnmv02zD0XrXgKnRTNbsTxq+squilROJQ5A3w0/u/+ceOEUM+RxJepzBHbzFeP43PzkW2QlR0KiHH/uwZkUhVr+4BwIGv77o/vhYSkbHqqrF1dM2LsQyeYCrZLO+w4JTbb2YmRMv93FIRj4FeU888QR+8IMf4K9//SvGjx/v5yNRJJL68ZJj9TBF+zZx0B+mZ8WjvqMe+6vaGOTRqJQ1duGu53ehrLEbBq0Kv7tuFi6dHrgR4DOy4/HKrmrsZ18ejdL+qnaIomuqcGqcbyVxBSkxSDHq0dhpwd7KNix0L0mn0LCjvGXE4ScA4HBHX7F6Tb9sXKwnoMtLjkGM3rcKheVFGVi/cs6gUlEA0KgETEwz+vS6/mCxO3CqXQryQqsnD3BN2NxT2cbhK+R9kJeQkDCg9667uxsFBQWIjo6GVjvworylRb6JSBSa+pagy3vXbGa2Ce8frsfBGvblkfc+O96I+/+5Bx1mOzJNBvzt1rmepeWBMlPqIa1pZ4M9jcruCt/78SSCIGBRQRI27TuFbaVNDPJCjLdDTX72f9Ow8uzcgPx8WV6UgQsL0/sNfdHjzx+X4rPjTfjBfw7g5XsWBqQK4kxqWnshikC0To3kWF3Q33+s+nblMciLdF4HeU888UQAj0GRTlqfINdkTcl0z9RCBnk02OlT6OaNT8AL2yvw87cOw+EUMWdcPP56y1ykGAPfBzE53QidWoW2HhsqW3qQmxR6ZUUkjz2Vo1+CPhQpyNta2oxv++NgFDTeDjWZkGIM6A0ktXuIjyQnMRoX/f5T7DzZin/uqMQtC3ID9t7DqXBP1hyXGB2SN888EzZbGeRFOq+DvFWrVgXyHBThSmWerCmRJmyWN3WjvdcGU5R8paOkLENNoYvSqtFrc62MueasbPziq0WjHkfvK51GhakZRuyvbseB6nYGeeQVp1P0BHljyeQBwMJ8V1/evqo2DqsKMfPzEpFhMihu+El2QjS+d/FkrN1cgnVvH8EFU1ORYQru8JOqEF2fIJGCPKnklCKXT8vQ//e//+Gdd94Z9Pi7776Lt99+e8yHosjTl8mTrw4fABJjdMh2lzoUs2ST3KQpdKf3jkgB3tVzsvD4NTOCFuBJpJsS3JdH3ipt7EKn2Y4orRpT0sf28zYnMQpZ8VGwO0XsPNnqpxNSMKhVAtasKBw2wAPkG35y68LxmD0uHl0WO378WnHQB/31rU8IzSAvk5k8cvMpyPvBD34w5MJzp9OJH/zgB2M+FEUWq92JCvcP1QKZe/KAvl4nlmwSMPIUOsnW0mavF/z6k7T2Yz+/V8lLUj/ezBzTiNMPvSH15QHAttLmMZ+Ngmt5UQZmDzF9Md1kwPqVc864Jy9Q1CoB666eAa1awAdHGrD5QG1Q399TrpkU2kFea48NPVa7zKchOfn0E/748eMoLCwc9PiUKVNw4sSJMR+KIktFczccThGxeg3SfZz05k99fXlt8h6EFMGbKXS17WbsKA/+wCkpk1dc0w6HHFEmhRx/lWpKFnqCvCa/vB4FT6fZhkO1HQCAx64qwpM3zMJLdy/A5w+dL1uAJ5mUZsT9yyYAANa+cQitI+zk87eqfj15ocgUpYXRPfX0FIevRDSfgjyTyYSysrJBj584cQIxMfJnYii0SJM1C1JiFNHkPIPDV6gfb6fQefs8f5qQGotonRo9VgfK3CXPRCPZXeGfoSsSKcg7WNOODrPNL69JwfHOoXpY7U5MSI3FDfPG4cpZWVhYkCTrfrr+vrZ0AialxaK524qfvVkSlPcURRGVIR7kAf1KNtuC/+8SKYdPQd4VV1yBBx98EKWlpZ7HTpw4ge985zu44oor/HY4igyl7ovTApkna0qk0fc1bb1o7rLIfBqSm7dT6Lx9nj+pVQKKMlmySd5p67GitLEbADDbT0FehikKeckxcIrAjjKuTwolm/bVAACunJmpiBusp9NpVFh39QwIAvDfvTX4+GhDwN+zqcuKHqsDguAaAhOqPGsU2JcX0XwK8h5//HHExMRgypQpyMvLQ15eHqZOnYqkpCT85je/8fcZKcz1ZfKUEeTFGbTIT3FlpA9w+ErEk6bQDXcJJADIkGEKnWQGy4vJS3sr2wAA+ckxSIzx3/4vKZu3lX15IaOx04IvTrhKbFfMzJT5NMObPS4Bty/KAwD86LVidFsC22NW2eK6CZJpioJOM7aeVTllxrtuOrJcM7L5XK65detWvPXWW/ja176G73znO/jggw/w4YcfIj4+3s9HpHCnlB15/c1wZ/MOVDHIi3TSFLqhyD2FDujrIWUmj87Esx/PT/14kkWeII99eaHirQOn4BSBmTnxGJ+s7Dab7148CdkJUahp68Xj7xwN6HuFQ6kmAGTFu87Pheh9HE4R20qbsWlfDbaVNkdEH7vPS20EQcBFF12Eiy66yJ/noQjjdIoobXDdOVNUkJcdj9f3ncLBmja5j0IKsLwoA49cXoifntYXkm4yYM2KQlmHFEjTYA/XdsBqd4b03WcKLH/340kW5LuCvCN1nWjptvo1S0iB8cb+UwBcpZpKF63T4JdfnY5bn9mBf2w7iRUzM/02OOh00qTvUA/ypEwegzyXofbcZijg3+9A8znI++CDD/DBBx+goaEBTqdzwMeeeeaZMR+MIkNthxm9Nge0akFRO2n6j6YXRVGR/QoUXEmxrgvXiakx+Pr5E5FqdJVoyj2kIDcpGqYoLdp7bThW3+npKSXqz+5wYn9VGwD/TdaUJMfqMTnNiKP1ndhe1oxLp4fvRVM4qGzuwZ7KNqgE4PIZofFnde6kFFw9Jxv/2VONh/5zAG99Y0lA9pJWhvj6BEk2e/I8pD23p+ft6trNWP3iHlnXhQSaT7d8165di4suuggffPABmpqa0NraOuAXkbekfrzxSTFj3tnkT9MyTVAJrr6F+g4OXyFXlgIA5uUlKWoKnSAI/W5KtMl7GFKso/Wd6LY6YNRrMDEAVRMLWbIZMjYfcGXxFhUkI1UBa4u89cjlU5Ecq8OJhi786aPSM3+CDyrDJpPnCvLqOswRUZY4nJH23EqPrd1cErZfI5+uqv/yl7/gueeew5dffonXX38dr7322oBfRN5S2tAVSZROjUlpRgC8cCaXI+59UlPTjTKfZDDP8BX2kNIw9riHrswaFw9VAG5OLORS9JAgiiJe3+uaqnlFCJRq9hcfrcOjV0wDAKz/+ASOum+8+ZOUycsN8UxeqtEAjUqAwynKst5HKc6051aEfHtug8GnIM9qtWLRokX+PgtFICnIU1I/nkS6cD7IgRaEvkze1Iw4mU8y2PSseACcBkvD2xOgfjzJgrwkCAJQ2tiN+o7IvahUuiN1nTje0AWdWoWLi9LlPs6oXTY9AxdMTYPNIeKh/xzwawam1+pAQ6ercifUM3lqlYB0k7svL4JLNpW85zYYfAry7rrrLvzrX//y91koApUqOMib7h5owUwetfVYPXcDJykwkzczx3VD4lh9J3qtDplPQ0okTdYM1MAKU7QW0zJdN0C2lzGbp1TSwJVlU1JgitLKfJrREwQBP/+/Ihj1GuyrasNzW0/67bWrWl1ZPKNBE5Jfm9NleRaiR26Qp+Q9t8Hg0+AVs9mMv/3tb3j//fcxY8YMaLUD/zL87ne/88vhKPyVKnB9gmSmlMmr4fCVSCdl8bITohBnUN4//ulxBqQY9WjstKCkth1n5cqzs4+UqbHTgormHgiCq1wzUBYVJKO4pgNbTzTjyllZAXsf8o3TKeKNfe6pmiH855NuMuAHl07Bj14rxm/eOYqLCtOQ44fMmzRZMzcpOiz+vWeQ17fntq7dPGRfngDX95Nce24DzadM3oEDBzBr1iyoVCoUFxdj7969A34ReaO124rmbisAeJaPK8nkdCO0agFtPTZUtUTuD0nq68ebkq68Uk3AdXdbuimxn315dBopizcp1RjQmxSe4StlHL6iRHsqW1HT1otYvQbnT0mV+zhjcuO8cTg7LxG9Ngd++NpBiOLYyzbDZUeeJMs9YTOSF6Irfc9toPmUyfvoo4/8fQ6KQNIS9Kz4KETrfN7mETB6jRpTM+JwoLodB2raQn6kMvmurx9PeaWakulZ8Xj/cAMOsLyYTtO3BD0+oO8zb7xrpUhVSy+qWnr8kl0h/9nkzuJdNC0NBq3/1w8Ek0ol4FdXz8DyJz7FZ8eb8J89NbjmrOwxvWaVJ8hT3k1nX0gTNiO5Jw9w7bn9/fWz8ODL+wY8roQ9t4E2qivrq6666ozPEQQB//nPf3w+EEUOz2RNBZZqSmZkm1xBXnU7Lp8RWpPIyH8OKzyTBwAz3H15HL5Cpwv00BVJrF6Dmdkm7Klsw7ayZgZ5CmJzOPHWwVoAoV2q2V9ecgwevGAS1m05gp+9WYLzJqUgxaj3+fUqmrsBhE8mTwryTrWF51CR0TBFuyoYkmN0eOTyQqTGKWPPbaCNqlzTZDKd8VdcnHIvgkhZPJM1FbY+ob8Z0tRCZkcilsMp4mi9K5M3RcGZvJnuQUFljd3oMNvkPQwphtXuxAH3hOA5ARq60h9XKSjTFyea0NJtRVKMDovdf0bh4O5z8jAtMw7tvTY8uvnQmF4rXNYnSPr35PmjnDWUbT3hKiH/ytQ0XDlbOXtuA21Umbxnn302UOegCKTkoSsSKTtSXNMBp1MMyH4pUraK5m6YbU7oNSqMT1JuGU9ijA7ZCVGobu1FcXU7Fk1IlvtIpAAltR2w2J2Ij9YiPznw37+LCpLxp49Ksa20mQOrFEQauHL5jAxo1D6NY1AkjVqFdVfPwJV/+gJvHajFlTPrcNG00a+GcDpFVLnLGsMnk+eaGNllsaPDbA+LiaG++uKE66bTognhc4PDG+HzN51CTt8idOVeOE9IiYVBq0KXxY6ypm65j0MykPrxJqcbFX/nT9rtuJ+7Hcmtf6lmMAKus3IToFOrUNdhRjl/ZipCr9WBdw7VAQCuCJNSzf6Ksky4+5x8AMAjm4p9qmSo7zTDandCoxKQYQqPcfrROg0SY3QAIrsvr7nLghJ3y8Wigsi6+ckgj2TRa3V4xvoqOZOnUatQlCmtUmiT9zAkC2my5lQF9+NJZrhLNvm9SpLdAd6PdzqDVo3Z7jUN27gvTxE+OFKPbqsD2QlRmBPAFRpyevCCichLjkF9hwWP/e/IqD9fWp+QlRAVVplOKZsXyRM2pZ9DU9KNY+rZDEXh851MIaW0sQuiCCREa5EUq+y/dNM5mj6iHa5Tfj+eZAa/V/3K4RSxrbQZm/bVYFtpMxzO0Otr2evO5M0O4sW9dLd8K/vyFEGaqnnFzMywLZ81aNV47KrpAICXdlRi+yhvMITb+gQJd+X1K9WMsCwewCCPZBIK/XiSmZ7sCC+cI9GROuVP1pRMzzJBEFz/oDd3WeQ+TkjbUlyLJes+xI0btuObG/fhxg3bsWTdh9hSXCv30bxW296LU+1mqFWC5+dYMEh9L9vdfXkkn/YeGz452gggfKZqDmdBfhJunD8OAPCD/xyA2ebw+nMrm8MzyOubsBnJQZ5r6MriCOvHAxjkkUxKG0InyJMyeYdOtcPucMp8GgqmTrMNVS2ufxynpCs/k2c09A3XOMC+PJ9tKa7F6hf3oLZ94OjxunYzVr+4J2QCvT0VbQBc37sx+uDtIp2ZHY8orRrN3VYcq+8K2vvSYFsO1cLqcGJKuhGTQ+Bn2Fg9fOkUpMXpcbK5B0+8f9zrzwu3yZoSKZNXHaFBXlVLDypbeqBWCTg7n0EeUVBIi9ALFLw+QZKXFAOjXgOzzYnjDbxgiSTH3KsT0uMMSHA3sCud1JfHIM83DqeItZtLMFT+SXps7eaSkCjd3F0R3H48iU6jwtzxrvfcWtoU1Pcei3Aozz2dp1RzVmTseY0zaPHz/3OVbW74rAzFXlbgVIR5uWakZvKknz+zcuIRG8QbXUrBII9kEQqL0CUqlYCiLPeiae7LiygltaHTjyeR+vL4veqbHeUtgzJ4/YkAatvN2FHeErxD+WhPZXCWoA9F2pcXKn154VCee7r6DrNn6MSKGZER5AHAhYVpuGxGBhxOEQ/954BXFThVniBPudO+fZGV4O7Ji9Dpmp+7+/HCaTfkaDDIo6CzO5ye0dpKXoTen7Qvj9mRyCJN1gyFfjyJlMnbX93OfigfNHQOH+D58jy5mG0OHDrl+nkV7Ewe0Dfk4Msy5WfEwqU893Sb95+CKLr+/HPCLEN1Jo+umAZTlBaHTnVgw2flIz6302xDS7cVADAuzMo1pZ68hk4LLHbvexTDgSiK2FYq9eNF3tAVgEEeyaCqtRc2h4gordpTSqB0M7LiATDIizTSjrypIZTJm5YZB7VKQFOXZcSMFA0t1ejdjixvnyeX4pp22BwikmP1yE4I/s/Zosw4GPUadJjtKDnVEfT391Y4leeebvN+V6nmlRFSqtlfilGPRy4vBAA88f6xEXc2Sv14STG6sCvpS4rRQa9xXerXt0fWMK6j9Z1o6rIiSqvGbBmqGZSAQR4FnVSqmZ8SA5XCl0tLpBK4I3UdEXc3LFI5nSKOSusTQiiTZ9CqMSnNFZTypsTozc9LRIbJgOF+MgkAMkwGzM9LDOaxRq2vHy9elrH5GrXK8zXaVqbcvrxwKs/tr7ypG/ur26FWCbh0eobcx5HF1XOycM7EZFjsTvzgPwfgHCZQlyZrhmO2UxCEfsNXemQ+TXB9ftz1c2deXiJ0msgMdyLzd02y8vTjhUipJgBkJ0QhIVoLm0PEEXefFoW3mrZedFns0KlVyE8JrT6NmezL85laJWDNisIRn7NmRSHUCr9BJWc/niQU+vLCpTz3dG+4B64smZCMZIXvog0UQRDwy69OR5RWjS/LW/DSzsohnxeuO/IkUl/eqbbQ+h4eK+nnzpIIXJ0gYZBHQXcihNYnSARB6JtayH15EeGwux9vQmostOrQ+lHJCZtjs7woAz+6fOqgx3VqAetXzsHyImVnRkRRxG73+gQ5+vEkUl/ejvIW2BS6fiZcynP7E0URm/bXAHAtQI9kOYnR+O7FkwEAv/rfEdQNkbUN1/UJkkxT5A1fsTmc+LIscpegS0LryoXCwokQWoTen2dqYVWbvAehoJD68UJpsqak/4RNDl/xjUGjBuDqLfvpldOgEgCrQ0R2gvIvBKtbe9HUZYFW3TcZWA5T0o1IiNaix+pQ7A0HqTx3OKFSntvfoVMdKGvshl6jwkXT0uQ+juxuWzQes3Li0Wmx48evFw/6mSgFeeFYrglE5kL0/VVt6LY6kBCtRWFG6LRb+BuDPAoqURRRFoKZPKAvO3KQmbyIcKTOlcmbGkL9eJLJ6UboNCp0mO2oaI6sPgx/2ePuaTt/SipuXTgel7tH0D+39aSMp/KO1I83LdMEg1Yt2zlUKgEL3AuItyl0X55aJeDBr0wc8TmhUJ7b3xvugSsXTE2D0aCV+TTyU6sErLt6BrRqAe8frsdbBwdOS/Vk8sI0yPOsUYigIO+LE31ZvFCZ/RAIDPIoqBo6Lei02KESQq80QsqOHKvvRI/VLvNpKNCOhOCOPIlWrfLcvdzPvjyf7JIGl4x3ZXBuWzwegKvXqalL2VPqlNCPJwmFvrzt7qEqWvXgi8Fr52Yrvjy3P6dT9PTjRcoCdG9MTjdi9dIJAIBH3ziEVvfKBLvD6SljDLf1CZLMeFemOpIyeV+4byotiuB+PEBBQd5jjz0GQRDw4IMPyn0UCiCpHy83KQZ6jXx3mH2RFmdAWpweThGKHglOY9djtaO82TVyO5Qma/bXN3yFmefRaug0o7KlB4IAzB4XDwCYnROPmdkmWB1ObNwx9AAHpeibrCl/kLfIHeTtrmiF2aa8ycQ7ylvw2t4aCALwyr0L8dLdC/DkDbNw15I8AMC7JfVo77XJfErv7TjZgroOM4wGDZZOTpH7OIpy/7ICTEyNRVOXFT9/6zAA1+RUu1OETqNCWgj1XY5GdrwreK1p642I8v0eqx173Te6lkTofjyJIoK8nTt34m9/+xtmzJgh91EowEJxsmZ/09378vbzwjmsHavvgigCybE6pBhDczJd3/CVNlnPEYqkUs3JaUbEucvdBEHwZPNe2F6h2EEi3Ra7p590Tm68vIeB62d9ilEPi92JvZVtch9nALvDiZ9sKgYA3DBvHGaPS8DCgiRcOSsLP7hkCiamxqKtx4Y/f3RC5pN6b5M7i3dJUXrI3UgNNL1GjV9dPQOCAPxnTzU+PtKAt4vrAADJMbohdyWGg3STAYIAWOxONLszmOHMNehJRFZ8VNhOTPWW7EFeV1cXbr75ZmzYsAEJCfLfdaTAKg3RoSsSKTtykBfOYe2Ie7JmqGbxAGBmjut7tbimA3aFBiRKJWXC5pyWCbt0egaSY/Wo77Bgi/viUGn2V7fB4RSRaTIgwxT8JeinEwQBC6W+vDJllWy+sL0CR+o6ER+txffdExglGrUKP7zUNWH12S9OoqpF+b2tVrsTbxe7+s2unJUl82mU6azcBKxaOB4AcOc/duKX/3Nl9E61m7Fk3YfYUlw7wmeHJp1GhVT3zcpImLD5xQlXqebiCUmy7AhVEtmDvPvvvx+XXXYZLrjgArmPQkEQiusT+pvOEriI4JmsmR56/XiSvORYxOjU6LU5UNrYLfdxQorUjzf3tCBPr1Fj5YJxAJQ7gEXKls1WQKmmRCrZVNLwlcZOC3737jEAwHcvmoyEGN2g5yydnILFE5JgdTjx+DtHg33EUfvseCPaemxIMeo9A29osFk58QAAx2mpu7p2M1a/uCcsA71ImrApDV1ZHOGlmoDMQd7GjRuxZ88ePPbYY14932KxoKOjY8AvCi195ZqhtVxaIpXAlTV1o8McOn0aNDrSjrypITx6Wa3qG5/P4SveM9scKHZP0B2qp+2ms8dBqxawu6JVkaWwnn48BQxdkUjDV/ZVtSlmaNW6LUfQabGjKCsON84fN+RzBEHADy+dCkFwTazcp/D1OVKp5ooZmSE1DTSYHE4R67YcGfJjUsy3dnMJHM7wKt7Mio+MCZst3VaUuP/9juT9eBLZgryqqip885vfxIsvvgiDwbtm18ceewwmk8nzKycnJ8CnJH/qMNvQ0OmaSlcQopm8xBgdst3jiIuZzQtLoiiG9I68/ma671grMRhRqoM17bA5RCTH6ofs50g1GvrWKXxxMsinG5koin2TNRWUyRuXGI2s+CjYHCJ2nWyV+zjYXdGKf++uBgD89MqiEQOiaZkmXD0nGwDwi7dKFDu4ottix3sl9QCAKzlVc1g7yltQO8RCdIkI1zCWHe6Jq+EiUoK8re5qgclpxpDtp/cn2YK83bt3o6GhAWeddRY0Gg00Gg0++eQT/OEPf4BGo4HDMXgK18MPP4z29nbPr6qqKhlOTr6SsnhpcXrPMINQNFMaaMF9eWGprsOM9l4b1CohZMuKJTNYXjxqfZMp44ft57ht0XgAwOYDp9DQOfwFY7CVNXWjrccGvUalqAXAgiAoZpWCwyl6hq1cNzfbqzUT37loEgxaFXaebMU7h+oDfUSfvH+4Hr02B3KToj1/72kwb/++KunvtT94duWFeU8eSzUHki3I+8pXvoKDBw9i3759nl9z587FzTffjH379kGtHjwVSq/XIy4ubsAvCh2lId6PJ+nry2uT9yAUENJ+vIKU0FvzcboZ7mmwh2s7YLErb3y9EkmZprm5icM+Z2ZOPGaPi4fNIeKlL5Vzs1GaCjoj2wSdRvaW+wEWKmQp+r++rMChUx2IM2jw0PIpXn1OhikKd5+TDwD41duHYbUrb5CRtBvvypmZET9sYiSpXq5J8PZ5oSLTPYTpVHt4B3lSJm9xhO/Hk8j2r4DRaERRUdGAXzExMUhKSkJRUZFcx6IAOtEY2usTJMyOhLfDdaE/WVOSkxiFhGgtbA4RR90lqDS80ZQ7Stm8F7+sUMxFvxJLNSVSJu9gTbts/czNXRbPAJXvXjwZSbHel3Pde14BkmN1ONncg399WRGoI/qktduKT441AuAC9DOZn5eIDJMBw4XBAoAMkwHz84a/yROKpEzeqbbwylD2V9XSg4rmHqhVQtj9+flKWbf6KKyFSyZPGmZR3dqL5i6LzKchfztcGx79eICrTG66u7yYux3PrLypGy3dVug0KhRljRzkX1KUgVSjHo2dFs/YerntqWgDAK9KEIMtMz4KeckxcIrAjjJ5+p0ef+coOsx2TM2Iw03DDFsZTqxeg29dOAkA8OQHxxW1IP1/xbWwO0VMy4zDhNTQ/7kVSGqVgDUrCgFgUKAn/feaFYVhN7hGmq7Z0m1VzPAjf5OyeLNy4mEM4ZYgf1JUkPfxxx/jiSeekPsYFCCe9QkhnsmLM2iR754OepB9eWFH2pE3NQwyeUDfbscDCp8MqARSP96MLNMZS3V1GhVWLsgF4NqjJrcOsw3HGtxL0BUY5AHwjPWXY1/evqo2vLzLVVr7syunQaMe/eXP9XNzMDE1Fq0KW5AuTdXkwBXvLC/KwPqVc5BuGliSmW4yYP3KOVhelCHTyQLHFKWFUa8BEL7ZPE8/XgFLNSWKCvIofJltDlS6l8mGeiYPcF0EAizZDDdmmwNlTa6dcuGQyQOA6e7vVd6QODPP0JXx3gVJN84fB51ahX1VbdhbKe/UyH2VbRBF1yRLpU6VWyTT8BVp2IooAlfNycLc8b6VcilxQfqptl7PJEhp6iud2fKiDHz+0Pl46e4FePKGWXjp7gX4/KHzwzLAk2SG8YRNURT79eNx6IqEQR4FRUVzD5wiYDRoFHsBMhrSvjwGeeHlREMXHE4Rpigt0uPCo/FeWqNwrL4zbMt0/GW0O+ZSjHpcPtN1UfgPmZej900FVWYWD+jL5B2u7UBLtzVo7/vyziocqG6HUa/Bw5dMHdNrKW1B+psHXFm8+XmJnot48o5a5Zr6euWsLCwsSAq7Es3TZca7/k0Lx4XoR+s70dRlRZRWjdkKrWSQA4M8Coq+JeixYTH5awYnbIYlaT/e1AxjWHyfAkBanAFpcXo4ReDQqQ65j6NYbT1WHHf/nBpNoHT7ojwAwFsHa9HQIV8ZlGfoyrh42c5wJilGPSaluSo5vgxSyWZrtxW/fse1/PpbF04a801GpS1IZ6kmeSuc1yhIpZrz8hIVN1lYTvxKUFCcCJOhK5JpmSaoBKCh04J6GS/syL+kfrxwmKzZn5R53s++vGHtrWwDAOQlx4xq6uL0bBPOyk2AzSHin19WBuh0I3M6Rexzn1+JkzX7W1TgKqUKVsnmb949irYeGyanGXHrwly/vOa0TBOumu1akP7Ltw7LtiD9REMnDp3qgEYl4NIwLjMk/5AyveGYyfvihKtUcwlXJwzAII+CQlqfEC5BXpROjUlprp4tXjiHj/6ZvHAyg315Z7SrwtXX5Eu5o7RO4Z9fVsqyj/B4Qxc6LXZE69SYnKbs712pZHNrEPblHaxux792uALvn/o4bGU4373YtSB9x8kWvFsiz4J0aTfeeZNSkBCjk+UMFDqy3EFedZgFeTaH01MZIN1EIhcGeRQUpWEyWbM/qWSTF87h40gY7cjrb4a7L489pMMbS0/b8qJ0pMcZ0NRlwf8OBn+dgnT2WTnxfg1kAmFBfiIEASht7A5oeavTKeIR97CVK2dl4ux8/97hH7gg/UjQdyWKoohN+11BHnfjkTeywjSTd6C6Dd1WBxKitSjMCK9/u8dK2f8aUFhwOkWUNYVXJg+AZ//YJ8casWlfDbaVNsPhlKdsh8ausdOCpi4rBAGeLG24kDJ55U3ditrvpRQ2h9PTWzXXhyBPq1bhloV96xSCXb7X14+n7FJNAIiP1mFaputCLJCrFP69uxr7qtoQo1N7JmL6m7QgvbypO+gL0g9Ut6OiuQdRWjUumJoW1Pem0CT15NW1m8PqWuXz431ZPFWYD88ZLQZ5FHA1bb0w25zQqVXITgif6V/dFtekwgPV7fjmxn24ccN2LFn3IbYoZDEyjc5hdz9eXlIMonQj70gLNQkxOoxLjAbgKmGjgQ7XdsBscyLOoEGBj9UGN8zLgU6jwoHqduxx98cFy54QmKzZ30JpX16A+vLae2xYt8U1bOXBCyYhLUCTcuVckC4NXLmwMA0x7v1nRCNJNRqgUQmwO0U0dIbPLIEv3KXfi9iPNwiDPAo4aehKXnKM4kuJvLWluBbr3j4y6PG6djNWv7iHgV4I8pRqhlk/nkQqL97PibCD7DrZFyT5eic4KVaPK2e6yuaeC+I6hZZuq2e342wFT9bsL9DDV3733lE0d1sxITUWty0eH5D3kFw/NwcTpAXpHwdnQbrDKWLzAU7VpNFRqwTPAvhwmbDZY7V7dpQuZj/eIOFxxU2KFm6TNR1OEWs3l2CoYgfpsbWbS8KqHCISHKl1DV0Jt348iaeHlJm8QXZX+icTtso9gOXtg7Woaw/OnXLpAqcgJQbx0aExfGNeXiLUKgGVLT2obvXvQvFDp9rxwnZX6eRPr5gGbYBvLLoWpE8BELwF6dvLmtHYaUF8tBbnTEwJ+PtR+Ai3heg7yltgc4jIio9CblK03MdRHAZ5FHCl7smaBWES5O0ob0HtCBdwIoDadjN2lLcE71A0ZofrpCAvXDN58QC42/F0oihityeTlzim1yrKMmH++ETYnSL+GaQerT1+ClCDKVav8dx08GfJpiiKWLPpEJwicNmMDCyaEJw7+8smp2JRQRKsdid+827gF6Rv2lcDALikKIM7wWhUssMsyJOqARZPSAqb3bb+xJ8OFHB9i9BjZD6Jf3hbyx5ONe/hzuZw4kSDtD4hPDN5RVkmCAJwqt2Mxk6L3MdRjFPtZtR1mKFWCZiZYxrz60nlgf/6shJmW+DXKUiTNUNh6Ep/iwr835f33z012FXRimidGj++LDDDVoYiCAJ+dJlrQfqmfYFdkG6xO/B2cR0AlmrS6IXbrrzPj7v68RYH6YZOqGGQRwElimLY7chLNXrXxO/t80h+ZY3dsDlExOo1YTUcqL9YvcazwoTZvD67Troy7tMy4xCtG/sAi4sK05BhMqC524o3DwS2N9fucGJ/lav8NpQyeQCwML+vL88f00g7zDY85u6TfuD8icgwBffvcbAWpH98tBGdZjvS4wyYP35smWeKPNKEzXDoyWvptqLEPTCN+/GGxiCPAqq524q2HhsEAT5PrVOa+XmJyDAZMFxhgAAgw2TA/Dz+Axwq+vbjGcO65GO6u0SO+/L67PFzJkwzYJ1CeUDXKRyp60SvzTGmqaByOSs3ATq1CnUdZpxsHnsf2xPvHUdTlwX5yTG4c0meH044et+9eBL0msAuSJcWoF8xK5Pj4mnU+jJ5oV9pJFUBTE4zIsWol/k0ysQgjwJKKtXMToiCQRseY+nVKgFrVhQCwKBAT/rvNSsKoeY/wCHjsDR0JUwna0pmsi9vkF3uIG/ueP9lwm6YNw56jQqHTnV4yikDQerHmz3O96mgconSqT3TQLe6R6D76khdB/6x7SQA4NErpsnWp3b6gnSbw78L0jvNNrx/2BU8XjGTpZo0euG0EP3zE1ydcCYM8iigpKErE0LsLvOZLC/KwPqVczzjiCVpJgPWr5yD5UUZMp2MfNGXyQvPfjzJjH6ZvGAv7Faibovdsx/Rn+WOiTE6/N+sLADAswFcpxCq/XiShX7oyxNFET/ZdAgOp4jl09Jx7iR5p03et7T/gvRKv772u4fqYbE7kZ8S41koTzQamfGua5ZOiz2oex0DQbo5tIT9eMNikEcB1Td0JbyCPMAV6H3+0Pl46e6zEWdw9fKsu2o6A7wQJF3oTw3zTN7UjDhoVAKau61hM11tLPZVtcEpuu5u+7uHS1qnsKW4DrXtgflah+Jkzf6kPpptY+jLe2P/Kewob4FBq8Ij7goLOcXqNXjwAteC9CfeP+bXC+k39rt3483MCuuycgqcaJ0GiTGuVSuhnM2raulBRXMP1CqBrTEjYJBHARVuO/JOp1YJWFiQjEvcgd0nx8ZWdkTB19JtRX2Ha9rkpLTwDvIMWjUmu1dEcF9ev0xYAIKkwsw4nJ2XCIdTxIvb/b9OoaHDjKqWXggC/DIVVA4zc0wwaFVo7rbiWH3XqD+/y2LHL946DAD4+rIJnlI0ud0wz/8L0pu6LJ7ytCs4VZPGQMrmhfLwFSmLNysnHkaDVubTKBeDPAqo0jAP8iTLprhKhD4+2iDzSWi0pFLNnMSoiPjHQtqXt59BXl8/XoAyYbcHcJ2ClMWbnGYM2e9bvUaNee4Jkdt86Mv7wwfH0dBpwfikaNx9br6/j+ezQCxI/9/BWjicImZmm5CXHB7riEgeme6qhVMBqjAIhi9OuPfjFbAfbyQM8ihgui12nHIvDQ/3IG/xhGRoVALKmrpxsqlb7uPQKBxxD12ZGub9eJKZnr68NnkPIjOnU8TeisCWO14wNQ1Z8VFo7bF5piL6y57KNgCByUIGk9SXt3WUfXnH6zvxzOflAIA1V0yDXqOswV7+XpC+yTNVM2vMr0WRLdTXKIii6MnkLWI/3ogY5FHAlDW6gp3kWB3io3UynyawjAat5440s3mhxTN0JUyXoJ9OyuQdrG6H0xm5w1eONXSi02JHtE6NKemBKdPVqFW4VVqnsPWkX4fdSKWmZ4Xo0BXJwnxXkLe9rBkOL78fRVHEmjcOwe4UccHUNCybnBrII/pEEAT88NK+Ben7x7AgvaqlB7srWiEIwOUz2PNNYyOVNYdqX/bR+k40dVkRpe2b0EtDY5BHAXOi0ZUhyQ/DoStDkUo2PzzaKPNJaDSO1EmZvPDux5NMSouFXqNCp8WOk82Rm3WWgqRZOfHQqAP3T+H183Jg0KpwuLYDO8pb/PKaFrsDB2tc5bahnsmbnmVCrF6DDnPfpNMzeetgLbaWNkOvUXnW2ShRUZYJX53tyrz94n++L0jffMCVxVuYn4S0OMMZnk00sgz399DBmnZsK/X+5opSSKWa8/ISFZfBVxoGeRQw4T505XTS3eTtZc3osdplPg15w+EUcbRO2pEXGZk8jVrlGb8eyUvRd58MbD+eJD5ah6/OzgYAPOendQqHTnXAanciMUaH8UnRfnlNuWjUKpztno7nzb687n7DVlYvLUBOorJ//9+9aLJrQXq57wvSpVLfKzlwhcZoS3EtfvLGIQBARXMPbtywHUvWfYgtxbUyn8x7W90DiNiPd2YM8ihgPEFehGTyJqTGIjshCla7c0x7nyh4TjZ3w2J3IkqrxjiFXyz6U9/wlTZZzyGn3ZWBm6x5utvc6xTeOVTnlxKpPZ79ePFhMUp/NPvynvroBGrbzchJjMJ95xUE+mhjlhk/tgXpR+o6cKSuEzq1CsunsVSTfLeluBarX9yD5m7rgMfr2s1Y/eKekAj0bA4ntpe5h66wH++MGORRwJS6e/IiJZMnCIInm/cR+/JCgjR0ZVK6EWpV6F8se0sauR+pmbzGTgsqmnsgCMDsIPS0TU43YlFBEpwi8MK2sa9T2BPEADUYpCBvR3nLiEFQaWMX/v5ZGQBgzeXTYNCGRqnWWBakS1m8pZNTYIoOzSmqJD+HU8TazSUYqjBTemzt5hLFl24eqG5Dt9WBhGgtCiOk+mYsGORRQNgcTs+UyYIICfKAvr68j440+nXIAgWGNHQlUvrxJFIm79CpdthHmVkIB1I/3qRUI0xRwblwlrJ5G3dWotfq+zoFURT79vuF+NAVydT0OMRHa9FtdQx740EURTz6xiHYHCKWTU7BV6Yqb9jKcE5fkN5h9m5BuiiKngXo3I1HY7GjvAW17mnnQxEB1Lab/dY3HChSP97CgiSoIujGrK8Y5FFAVDT3wO4UEa1TI9MUOY3iC/OTodOoUNPWi+MNo1/uS8ElDXoI1HRFpcpLioFRr4HZ5ozI79PdFa4LmbPGBy9I+srUNGQnRKGtx4ZN+2p8fp1T7WbUd1igVgmY6Q7WQ51KJWBBXt+UzaG8c6gOnx1vgk6twpoV00KuTPWGeTkoSIlxLUj/qNSrz9lT2Ybq1l7E6NT4ypS0AJ+QwllD5/ABni/Pk8vnUj8eSzW9wiCPAkLqxytIiQ25f4zHIkqn9owE/+gISzaV7nBtZA1dkahUAoqyIndfnhzrB9QqAasWjgfgGsDia6Zf6scrzIhDlC40yhW9sWiCtC9v8PCVXqsDP3vTNWzl3vPyMT4El4G7FqRPBQA880W5VwvS33DfDLh4WnpY/VlT8KUavbvZ7u3z5NBjtWOvu1R9cQGDPG8wyKOAKG2MrMma/Z0/hX15oaDDbPMMwYiURej9zXD35e2PsL48s82B4hpXBnduEDN5AHDd3BxEadU4UteJ7WW+lUXtDvACd7lIN8d2nWyFxT6wnPXPH59ATVsvsuKj8LWlE+Q4nl+cPyUVC/O9W5Budzjx5gHXIAyWatJYzc9LRIbJgOFuuQsAMkwGzHdPulWinSdbYXOIyIqPQm6ITxUOFgZ5FBClEbY+oT9p+Mquk61e915Q8EmrEzJNhogcaCCV+kVaJq+4ph1WhxPJsbqgT1Q1RWtx1RzX3rTntpb79BrSnexwWwI8ITUWybF6WOxO7K1s8zx+sqkbf/3ENWzlkcsLQzqjJQgCfnSZdwvSvyhtRnO3FYkxOpam0ZipVYJnp+RQgZ4IYM2KQkUPIPvCU6qZFFEVYmPBII8C4kSjVK4ZemU1YzUuKRr5KTGwO0V8cfzMe59IHkekfrwIK9WUTHeXax6t64TZ5vsgkFCzq18mTI4LBWkAy3sl9V6V7PVntjlw6JTr+zbcMnmCIHimbG51r1IQRRFrNx+C1eHEuZNScPG00O9L83ZButS3edn0DGjVvFSjsVtelIH1K+cgfYg5CQaNCmfnKXvv3Bfsxxs1/uQgvxNFMaIzeQC4SiEEHJaWoEfY0BVJdkIUEmN0sDlEHHF/LSKB3OWOE9OMWDIh2bVOYfvo1ikcqG6H3Ski1ahHVnxUgE4on0XuIO/d4jps2leDP310Ah8dbYRWLeDRFYVhc/e+/4L094ZYkG62OfDuIdfjXIBO/rS8KAOfP3Q+Xrp7AZ68YRb+ddfZmJpuhNnuxJ8/PiH38YbV0m1FifvG7CL243mNQR75XW27Gd1WBzQqAblJkZfJA/oHeY1wKnzvTKSK9EyeIAiYkR1Zw1dEUfQMLjkrV77eE886hR2V6LHavf683TJnIQNNWudxpL4T39y4D7959xgAVy9bfkr43DDMjI/CXefkARh6QfqHRxrQZbEjKz4qbNZkkHKoVa6s+ZWzsrBoQjIeumQKAOAf2ypwyt2nrjTbSpshisDkNCNSjHq5jxMyGOSR30mTNXOToiO2zGReXgKidWo0dlo8d59IOZxO0dOTF2k78vqT9uXtr4qM4Ssnm3vQ3G2FTqNCUZZ8wf2yKakYlxiNDrMdr+31fp2CZwl6GF74bymuxU82HRryY+8eqseW4tognyiw7jvPtSC9bIgF6VKp5hWzMrkLjALuvEkpODsvEVa7E0+8f0zu4wzpC/fUXWkKL3knMq/AKaAiebKmRK9RY4m7bpyrFJSnurUX3VYHdGoV8kJwHLu/zHRn8g7WtMl7kCDZddI10XJGlgl6jXwDPNQqAavc2bznvvBunUL/LOScMOvHczhFrN1cgpG+Cms3l8ARRlURRoN2yAXp7b02fHSkEQBwxUyWalLgCYLgyeb9e3c1TjQor3xf6sdbwn68UWGQR37Xf0deJFvGVQqKJWVXJ6bFQhOh2WYAmO4O8k40dKHb4n3ZYKiSMmFKGFpy7dxsROvUON7Q5Rk0MpLKFncWUi1vFjIQdpS3oLZ9+CXMIlxtADvKfVs7oVT9F6Q/9eEJbCttxq/ePgyrw4mJqTER2y9MwTdnXAIuKkyDUwQef2fk9R7BVt3ag4rmHqhVgqJXPChR5F7dUMCciPChK5Klk1MAAHur2tDSbZX5NNTfkTp3P14E7sfrL9VoQIbJAKfoWi0Q7nadVE6QF2fQ4pqzsgEAz35x8ozPl/rxirLiZM1CBkJD5/ABni/PCxX9F6T/7dMy3LhhO17aUQUAqG234J1DdXIejyLM9y6eDJUAvHOo3rOqRQm2nnDdBJuZbYLREHnrjsaCQR75Hcs1XTJMUZiSboQoAp8ea5T7ONTPkVp3P14G75T3DV8J7yCvvceG4+4bUEopd7x14XgAwAdH6lHZPPI6hXDux0s1Dh7pPpbnhRKr3Tnk410WO1a/uCfsehFJuSamGXH1HNeNp3VbjnhVRh4Mn7NU02cM8siv2nqsaOpyZa0ivVwTYMmmUkmZvKkROlmzP2n4yoEwz+RJQVJecgySY5UxnW1CaizOnZQCUQSe33ZyxOfurmgDoIwspL/Nz0tEhskw5JJmwLW8OcNkCLtSLYdTxE/fLBnxOeHWi0jK9uCFk6DTqLC9rAWfKmDPryiKnnL2RQzyRo1BHvmVlMXLMBkQo9fIfBr5ne8O8j451sh/qBWi22JHhXsJNXteEDFrFKRyR6Vlwm53D2B5eVfVsH2RXRY7jrpvTCglC+lPapWANSsKAWBQoCf995oVhVCH2aTJSO1FJOXKio/CrQtyAQDr3j4i+wqoY/VdaOqywKBVYfa4eFnPEooY5JFfsR9voNk58YgzaNDWY8O+qja5j0MAjtV3QhSBFKMeSQrJ6MhpRlY8AKCiuQdtPeHbO7qrwnWhPHe8soKk8yalYHxSNDrNdvx3mHUK+6va4BRdF2BpceFXsgi4ljSvXzkH6aaBv790kwHrV87B8qIMmU4WOJHai0jKdv+yCTDqNSip7cCbB+UtF5ZKNefnJYVdL3IwMMgjv+JkzYE0ahXOneQawPIxSzYV4Yh7Px6zeC6maC3GJ0UDCN++PJvD6dkFqLRyR9WAdQrlQ/bBhOvqhNMtL8rA5w+dj5fuXoAnb5iFl+5egM8fOj8sAzwgsnsRSbkSYnS459x8AMBv3z06bN9oMGx1B3mLC7gfzxcM8sivmMkbbNlkV8nmh9yXpwhHatmPdzqpL+9gmPblHa7tQK/NgTiDBhMUeAPqmrOyEaNTo7Sx23Pnur/d0uqHCChXUqsELCxIwpWzsrCwICnsSjT7i9ReRFK+O5bkITlWj4rmHry8q0qWM9gcTnzpLlVezH48nzDII78qbewGwCCvv/PcqxQOnepAfQfLbuR2mJm8QaS+vP1hWlIs9eOdlZsAlQKDBqNBi2vn5gAYvE7B6RSxt7INQPhn8iJNpPYikvLF6DX4xlcmAAD+8MFx9FiDv0f1QHUbuix2xEdrUcibsj5hkEd+Y7Y5UNXqGmjBcs0+ybF6zHRfRH9ylKsU5CSKIg7Xckfe6TwTNsO0XHNXhXL24w3n1oWuYQcfHmlAeVO35/Gypi6099pg0KqYfQ5DkdiLSKHhhnnjMC4xGo2dFq92efrbF+79eIsKkhR5cy4UMMgjvylr7IYoAqYoLZJjdXIfR1G4SkEZTrWb0Wm2Q6MSUJAaI/dxFKMoKw4qAajrMKMhDLPNezxBnnLL3vJTYrHUnfXvv05hj3t1wozseGjV/Cc7HEVaLyKFBp1Ghe9cNAkA8JePS9HaHdzBXF9I/Xgs1fQZ/8UgvznRbwm6IPCuS39SX95nx5tgc8jXxBzppH68CamxnNTVT7ROg4mprvLV/WGWzatp60VtuxlqlYCZOSa5jzOi29wDWF7dVY0u9zqF3SGQhaSxi6ReRAodK2ZkYmpGHDotdqz/pDRo79tjtXt2my4uYJDnKwZ55DeeoSss1RxkepYJSTE6dFns2HWyVe7jRCxO1hzedHdJ8cEw25cnBUnTMuMQrVP27s5zJ6YgPzkGXRY7/rO7GkDfEnel7fcjovCnUgn4/vLJAIDntp7EqbbeoLzvzpOtsDlEZMVHIdc9/ZlGj0Ee+U1pIydrDkelEjwDWFiyKR9PPx57mwaR+kbDLZO3+6RrOlsoBEkqlYDbFo8HAPxj60m09Vhx3H3zbE4ETNYkIuVZOikFZ+clwmp34sn3jwflPT2rEyYksTJsDBjk0Zg5nCK2lTZjr/uOeV4y77oMRSrZ/IirFGTDTN7w+oavtA25qy1USesHlLYEfThXzcmGUa9BWVM3fvDfAwCAtDg94qPZ50xEwScIAh66ZAoA4NXdVTjR0Bnw9/yc/Xh+wSCPxmRLcS2WrPsQN27YjlPtroEND/+3GFuKa2U+mfKcOzEFapWA4w1dqGrpkfs4Ecdsc6DMnW3mlMLBpmQYoVULaO2xobo1OCU5gdZtseNwreuCJFR62mL1Gsxz70XbUlwPAKjvsGDJug/5c5WIZDFnXAIuKkyDUwR+886xgL5Xa7cVJe6qm4Vcgj4mDPLIZ1uKa7H6xT2obR84ja+py4LVL+7hBclpTNFanOUuGfv4GFcpBNuJhi44RSAhWotUo17u4yiOXqP2BL/hskphf1UbHE5XX0eGKUru43hlS3EtPhwi21/XbubPVSKSzXcvngyVAGw5VIe9lYGbLbCtrBmiCExOMyLVaDjzJ9CwGOSRTxxOEWs3l2Cooi7psbWbS+Bwhk/Zlz8sneLqy/uYJZtB138/Hmv8hzY9y9WXdyBMhq9I+/FCZYm49HN1KPy5SkRympRmxFVzsgEA67YcCVhZv1SquWgCs3hjxSCPfLKjvGVQBq8/EUBtuxk7yluCd6gQIPXlfVHaBLPNIfNpIotUtjclg/14w5np7svbHyZBnjRZc26IBHn8uUpESvatCydBp1Zhe1kLPj3eFJD38Axd4eqEMWOQRz5p6PRuYbK3z4sUU9KNSI8zwGxzYntZs9zHiShH6lyZvKnp7Mcbzgz3Hrnimg44Qzxb5HSKnvUDodKPx5+rRKRkWfFRuGVhLgDg11uO+P3fierWHpxs7oFaJeDs/ES/vnYkYpBHPvG2Tpr11AMJgoBlUsnmUfblBYsoip5yTQ5dGd6ElFhEadXosthR1tQt93HG5HhDFzrNdkTr1CEzTZU/V4lI6e5fNgGxeg0OnerAmwf92yO89YTr5vfMbBOMBq1fXzsSMcgjn8zPS0SGyYDhOpsEABkmA+bn8U7M6aSSzQ+PNITVqHola+y0oLXHBpUATEzjHsfhaNQqTMuUhq+0yXuYMdpV4SppnJUTD406NP6p489VIlK6xBgd7jk3HwDw23ePwuZw+u21vyjl6gR/Co1/+Uhx1CoBa1YUDvkx6QJlzYpCqFUccHG6xROSoVULqGzpQXmIZ0tCxWH3fry85BgYtGqZT6NsffvyQnvCZqj14wEDf66e/pOTP1eJSCnuXJKH5FgdKpp7sHFnlV9eUxRFfOHO5DHI8w8GeeSz5UUZ+NqygkGPp5sMWL9yDpYXZchwKuWL0Wtwdp5ratRHLNkMiiPSZE2Wap7RTHdfXqgPX9kdYpM1JcuLMrB+5RykmwaWZPLnKhEpRYxegwfOnwgA+MMHx9FjtY/5NY/Vd6GpywKDVoXZ4+LH/HoEaOQ+AIW2Y/Wu5dKXFqXj4qJ0pBpdpUS80zyypZNT8PmJJnx0pAF3LsmT+zhh74g7kzc1RHqz5CRl8kpOdcDmcEIbIqWO/TV2WlDR3ANBAGaPC60gD3AFehcWpmNHeQsaOs38uUpEinPj/HH4++dlqGrpxbNfnMT9yyaM6fW+cE/VnDc+EXoNK278IfT+9SbFaOgwe5b2fuvCSbhyVhYWFiTxQsQLy6a4+vK+LG9Gt2Xsd8BoZP135NHIchOjYTRoYLE7cay+U+7j+ETK4k1KNcIUFZrN+2qVgIUFSfy5SkSKpNOo8J0LJwMA/vJxKVq7rWN6PSnIW8JSTb9hkEc++/eeajicIs7KTcDENGZIRiM/OQbjEqNhc4ieH2wUGFa7E6WNrowzd+SdmUolYEa2tBQ9NPvyPKsTxodeFo+IKFRcMTMTU9KN6LTYsf6TUp9fx+5w4kv3/k/24/kPgzzyidMp4mV3s+3183JkPk3oEQQB57uzeezLC6zSxi7YHCKMeg2y4qPkPk5I6Bu+0ibrOXy166TrYuGsECzVJCIKFSqVgIeWTwEAPLf1JGrbe316nf3V7eiy2BEfrUUhe+f9hkEe+WR7eTMqmnsQq9fg8hkcBOCLpZOlfXlcpRBI0hL0KRlGCAJL3rwx053J218Vepk8s82B4hrXn/lcZvKIiAJq6eQUzM9LhNXuxBPvHffpNaSKpkUFSVCxNN1vGOSRT6Qs3hWzMhGt4/weXyzIT4JBq0Jtu9kzGIT870ite+gK7w56TcrkHavvhNnmkPcwo1Rc0w6rw4nkWB3GJUbLfRwiorAmCH3ZvFd3V+FEQ9eoX6MvyGOppj8xyKNRa+ux4u3iOgDADSzV9JlBq/b8QPvoaIPMpwlf0o48Dl3xXobJgORYHexOESXuoTWhQhq6clZuAjO3RERBcFZuAi4sTINTBH7zztFRfW6P1Y69lW0AOHTF3xjk0ai9trcGVrsThRlxmJ5lkvs4IW2ZVLJ5hH15gdK3I49DV7wlCEJfX15Vm6xnGa1d/YI8IiIKju9dPBkqAdhyqA77RvHvxs6TrbA6nMiKj0JuEqsv/EnWIG/9+vWYMWMG4uLiEBcXh4ULF+Ltt9+W80hj4nCK2FbajE37arCttBkOZ/j1WYmiiI07XKWaN8zP4Z3yMVo62TV8ZXdlK9p7bDKfJvw0d1nQ0GkBAEzmBNhRCcUJm6IoYo8nyEuU+TRERJFjUpoRV83JBgCse/uI17MGtvbrx+M1pX/J2kyVnZ2NX/3qV5gwwbVA8R//+AeuvPJK7N27F9OmTZPzaKO2pbgWazeXoLbd7Hksw2TAmhWFWF4UPoNJ9lW14Wh9J/QaFa6cmSX3cUJeTmI0JqbG4nhDFz470YjLZ2TKfaSwctRdqpmbFI0YPXtHR2OmlMmrCZ0g72RzD5q7rdBpVCjKYnkuEVEwPXjBRLyx7xS2lTXjs+NNOHdSyhk/54tS9368iSzV9DdZM3krVqzApZdeikmTJmHSpEn4xS9+gdjYWGzfvl3OY43aluJarH5xz4AADwDq2s1Y/eIebCmulelk/icNXLlsegZM0aG5ZFhppMXoH7Fk0+/6+vGYxRut6e5MXmljF7osdplP4x2pH29Glgl6jVrm0xARRZbshGjcsjAXALBuyxE4z1DR1tptxaFTrpaKhQVJAT9fpFFMT57D4cDGjRvR3d2NhQsXDvkci8WCjo6OAb/k5nCKWLu5BEN9G0uPrd1cEhalm10WO97YfwoAd+P5k7RK4ZNjDWf8gUij4+nH49CVUUuO1SMrPgqiCBwMkZLN3RXu/XjsxyMiksX9yyYgVq/BoVMdeOvgyEmObWXNEEVgUlosUo2GIJ0wcsge5B08eBCxsbHQ6/W477778Nprr6GwsHDI5z722GMwmUyeXzk58gcaO8pbBmXw+hMB1LabsaO8JXiHCpA3959Cj9WB/OQYzM9jv4u/zM1NRKxeg6YuKw6GUGlcKJBWU0zl0BWf9PXltcl7EC/t5tAVIiJZJcbocM+5+QCA3757FDaHc9jnSqsTFnOqZkDIHuRNnjwZ+/btw/bt27F69WqsWrUKJSUlQz734YcfRnt7u+dXVVVVkE87WEPn8AGeL89Tso3uUs3r53Hgij/pNCrP2GCuUvAfu8OJo/VcnzAWM0KoL6+9x4Zj9a79THMY5BERyebOJXlIjtXhZHOPp81nKJ4gj/vxAkL2IE+n02HChAmYO3cuHnvsMcycORNPPvnkkM/V6/WeSZzSL7l5m14O9TT0kboO7Ktqg0YleKYnkf+cL/XlHWVfnr+cbO6G1e5EtE7Npdg+CqVM3p4qVxYvLzkGybF6mU9DRBS5YvQaPHD+RADAkx8cR491cF93TVsvTjb3QK0ScHY+q8MCQfYg73SiKMJisch9DK/Nz0tEhsmA4fJaAlxTNkO9vFFam3BhYRpSjLyA8rfz3H15B6rb0NQVOt//Sna41pXFm5xuhErFzLMvitx7MKtaetHSbZX5NCPbfdIV5M0ZxyweEZHcbpw/DjmJUWjstODZL04O+riUxZuZbYLRwEF+gSBrkPfDH/4Qn332GU6ePImDBw/iRz/6ET7++GPcfPPNch5rVNQqAWtWuHoIh7qMFAGsWVEIdQhfZJptDry2twYAB64ESlqcAdMy4yCKwCfM5vnFkToOXRkrU5QW+ckxAJSfzZP68eaOZ5BHRCQ3nUaF71w4GQDwl09K0dYz8EYh+/ECT9Ygr76+HrfccgsmT56Mr3zlK/jyyy+xZcsWXHjhhXIea9SWF2Vg/co5SDcNLsksSInBxdPSZTiV/7xzqA7tvTZkxUfhnIln3nlCvlk2WSrZZF+ePxyp5dAVf5BKNpU8YdPmcGJfVRsADl0hIlKKK2ZmYkq6EZ1mO9Z/XOp5XBRFbC1tBsAgL5Bk3Q789NNPy/n2frW8KAMXFqZjR3kLGjrN0KhUePDlvSht7MYXJ5pDesmjVKp57dzskM5IKt2yKSl46qMT+PRYI+wOJzRqxVVTh5QjdRy64g8zsuPx+r5T2K/gIO9IbSd6bQ7EGTSYkBIr93GIiAiASiXgoeVTcPtzO/Hc1pO4bfF4ZJiicLyhC42dFhi0KsweFy/3McMWryL9SK0SsLAgCVfOysJlMzKwcoFrIeTv3jsKUQzN/Wcnm7qxrawZggBcO5elmoE0KycB8dFadJjt2OvOSpBv2nttqGnrBeDqySPfSZm8XSdbsGlfDbaVNitu7+cu9368ObkJ7L8kIlKQpZNTMH98Iix2J558/zgA4PPjrlLNeeMTodeo5TxeWGOQF0CrzyuAXqPCnso2fHIsNPusXt7lyuKdOzEFWfFRMp8mvKlVAs6b5CqH/egISzbH4qg7i5cVHwVTFBu6x0IKltt6bfjmxn24ccN2LFn3IbYUj7zkNpg8/Xgs1SQiUhRBEPDQJa7evJd3VuHfu6vx3z3VAIBFBUlyHi3sMcgLoNQ4A25xZ/N+//7xkMvm2RxO/Hu36y/ijfOZxQuGvr680LwpoBR9Q1eYxRuLLcW1eHDjvkGP17WbsfrFPYoJ9KQgj/vxiIiU56zcRMzIMkEE8N1X96P4lOvf6Kc/L1fMvyPhiEFegN17XgEMWhX2V7WF3ECND480oLHTguRYHc6fkib3cSLCuZNSIAjA4doO1Lb3yn2ckHW41h3kceiKzxxOEWs3l2CoW1PSY2s3l8heunmqrRe17WaoVQJm5cTLehYiIhpsS3EtDtQM7utu7rIq6oZhuGGQF2ApRj1WLRwPAPj9e6GVzXt5p6tU8+o52dBp+K0SDIkxOs+F6sfM5vnssGeyJoeu+GpHeQtq283DflwEUNtuxo7yluAdagi73Fm8wow4ROtknSVGRESnkW4YDkVJNwzDEa/cg+Cec/MRrVPjYE073j8cGtm82vZefOzOPHI3XnB5SjbZl+cTp1P09ORxsqbvGjqHD/B8eV6g7HEHeVydQESkPKFywzAcMcgLgqRYPVYtGg8A+P17x0Iim/fqrmo4RWB+XiLyOZI8qM6f4gryvjjRBIvdIfNpQk9lSw96bQ7oNSqMT4qW+zghK9U4eO/nWJ4XKNJkTQZ5RETKEyo3DMMRg7wgueecfMTo1Cip7cA7h+rlPs6InE7RU6rJgSvBV5gRhxSjHt1WB3adbJX7OCFHGroyKc3IXYNjMD8vERkmA0ZaSJBhMmB+XmLQznS6bovdU5o7dzyDPCIipQmVG4bhiFdAQZIQo8Pti/MAAE+8fwxOBdcef1HahJq2XhgNGlxSlCH3cSKOSiVgqXuVwocs2Rw16aKfkzXHRq0SsGZFIQAMG+hdOj0Dahn30u2vaoPDKSLTZECGiSteiIiU5kw3DAXIf8MwXDHIC6K7zsmDUa/BkbpObDlUJ/dxhrVxhyuL99XZWTBouaRSDsumSKsUGOSNlmd9AoeujNnyogysXzkH6aaBd1ijda6fC89vO4nPjss3IEhanXDWeF4cEBEp0Ug3DKX/XrOiUNYbhuGKQV4QxUfrcPsSZWfzmrsseLfEFYDeMG+czKeJXEsmJkOtElDW2I2K5m65jxNSjriHrkxlJs8vlhdl4POHzsdLdy/AkzfMwkt3L8D+n1yEy2ZkwOYQce8Lu3Gguk2Ws0mTNc8aFy/L+xMR0ZkNd8Mw3WTA+pVzsJxVYwHBedNBdueSPDz7RTmO1XfhrYO1WDEzU+4jDfDfPTWwOUTMyDahMJOZELnEGbSYm5uAL8tb8PHRRqxaFCP3kUJCt8WOiuYeAMBkBnl+o1YJWFiQNOCx3103E209Vnxxohm3PbsT/75vYVCHNDmdIvZUuoK8uczkEREp2vKiDFxYmI4d5S1o6DQj1egq0WQGL3CYyQsyU5QWd5+TD8CVzVPSXhBRFLFxZyUArk1QgvNZsjlqUhYv1ahHUqxe5tOEN71Gjb/eMhfTs0xo6bbi1md2oL4jeNPRjjd0odNsR7ROzf5LIqIQIN0wvHJWFhYWJDHACzAGeTK4ffF4mKK0KG3sxpsHTsl9HI/dFa0obexGlFaNKxSWYYxEUl/ettJm9Fq5SsEbUj8el6AHR6xeg2dvn4fxSdGobu3Fqmd2oL3XFpT3lvrxZuXEc4oqERHRafgvowyMBi3uOdeVzXvy/eOwO5wyn8jlJffAlctnZMBo0Mp8GpqYGous+ChY7E5sK2uS+zgh4Yg0WTODmZ1gSY7V44U7z0aKUY8jdZ24+x+7YLYF/qYE9+MRERENj0GeTFYtGo+EaC3KmrqxaZ/82bwOsw1vHXSd4wbuxlMEQRCwdLJrlcJHR+SbYBhKPJm8dGbygiknMRr/uH0+jHoNdpxswTde2hvwm1d7pKErDPKIiIgGYZAnk1i9BvecWwAA+MOH8mfz3th3CmabExNTYzFnHC+alGLZ5L6+PFFUTv+mEomiyEyejAoz47Bh1VzoNCq8W1KPH79eHLDv2cZOC04290AQgNn8eUVERDQIgzwZ3bowF4kxOlQ09+C/e2tkPUv/gSuCwEZYpVg0IQk6jQrVrb0obeyS+ziKVtPWi06LHVq1gPzk4E15pD4L8pPwhxtmQyUAG3dW4XfvHQvI+0hTNSelGmGKYmk5ERHR6RjkyShGr8F957l68/744XHYZMrmFde0o7imAzq1ClfNyZblDDS0aJ0GC/Jdo+tZsjkyKYtXkBILnYY/2uSyvCgdv/jqdADAHz88gee+KPf7e0hDV+awVJOIiGhIvBKS2S0LxiM5Vo+qll78Z3e1LGd4eadr4MpF09KQGKOT5Qw0vGXuvrwPj3CVwkg4WVM5bpw/Dt+5cBIAYO2bJdi83799x1KQN5dBHhER0ZAY5MksSqful807Aas9uNm8XqsDr+9zlYreMG9cUN+bvCP15e082YJOc3DG04eiw+4dedyZpgxfP38Cbl2YC1EEvv3KPnx23D+ZaLPNgYPV7QA4dIWIiGg4DPIUYOWCXKQY9ahp68Wru6uC+t7/O1iLTrMdOYlRWFSQFNT3Ju+MT45BXnIM7E4RX5zgKoXhHK51ZfKmMJOnCIIgYM2KabhsRgZsDhH3vbAbB6rbxvy6h061w+pwIjlWh9yk6LEflIiIKAwxyFMAg1aNry11Tdp86sMTsNiDt/jaM3Blbg5UKg5cUSquUhhZr9WBk03dAICpnKypGGqVgN9dNxOLJySh2+rA7c/uRLn7z8lXu066+/HGJXBIFBER0TAY5CnEjfPHIS1Oj9p2M17ZGZxs3omGLuw82QqVAFxzFnfjKdn5U7hKYSTHGzrhFIGkGB1SYvVyH4f60WvU+Ostc1GUFYfmbituefpL1HeYfX49Tz/eeJZqEhERDYdBnkIYtGp8fdkEAMBTH52A2Rb4bN4ru1zB5PlTUpFuMgT8/ch38/MSEaVVo6HTgkOnOuQ+juL034/H7I7yxOo1eO72+RifFI3q1l6semYH2ntH318qiqInyGM/HhER0fAY5CnIdfNykGkyoL7Dgo07KgP6Xla70zPN83oOXFE8vUaNxROSAQAfH+WUzdMddk/WnJLOfjylSo7V44U7z0aKUY8jdZ24+/ldo76ZVdHcg+ZuK3RqFYqyTAE6KRERUehjkKcgeo0a95/vyub96ePSgGbz3j9cj+ZuK1KNes+IflK2ZVPcfXlH2Zd3Ok8mj5M1FS0nMRr/uH0+jHoNdpS34Bsv7YV9FPtBd7mzeNOzTdBr1IE6JhERUchjkKcw156Vg6z4KDR2WvDi9oqAvc9Gd9/ftXOzoVHz2yAULHWvUthb2YrWbqvMp1EOURS5Iy+EFGbGYcOqudBpVHi3pB6PbCr2us+U+/GIiIi8w6t7hdFpVHjAnc37yyel6LHa/f4eVS09np1V183lwJVQkRUfhclpRjhF4FM/7RwLBw2dFrT22KASgAmpsXIfh7ywID8Jf7hhFlQC8NKOKvzuvWNefd7uihYAwBwGeURERCNikKdAV5+VjZzEKDR1WQOSzXt1dzVEEVhUkITcpBi/vz4FzjL3lM2PWbLpIe3Hy0+JhUHLEr5QsbwoAz//v+kAgD9+eALPfVE+4vPbe204Vt8FgENXiIiIzoRBngJp1So8cP5EAMBfPylDt8V/2TyHU8Sr7qmaN8znwJVQI/VPfny0AQ4nVykAwGH244Wsm84eh29fOAkAsPbNEmzef2rY5+6pdJVqjk+KRjLXZBAREY2IQZ5CXTU7C7lJ0WjutuL5bf7L5n16rBG17WbER2txUWGa316XgmNObgKMBg1ae2zYX90m93EUgf14oe2B8yfg1oW5EEXg26/sw+fHm4Z83h7P6oTEYB6PiIgoJDHIUyiNWoVvuLN5f/u0FF1+yuZt3OlazfDV2VksbQtBWrUK5050Z/OOcJUC0DdZc2oGM3mhSBAErFkxDZdNz4DNIeLeF3bhwBA3MHad5H48IiIibzHIU7ArZ2UiPzkGrT02/GPryTG/XkOnGR8cdgUGN3A3XshaOpmrFCQWuwOlja4+Le7IC11qlYDfXT8TiyckodvqwO3P7kR5U7fn43aHE/uq2gAAc8czyCMiIjoTBnkKplGr8I2vSNm8MnSYbWN6vf/sroHdKWL2uHhMZv9SyDrPHeQdrGlHQ6dZ5tPIq7ShG3aniDiDBhkmg9zHoTHQa9T4y8qzUJQVh+ZuK255+ks0dJjhcIp4ZWcVem0ORGtVyOOwKCIiojNikKdwK2ZmoiAlBu29Njz3xUmfX0cURbzsLtW8kVm8kJZqNGBGtgkA8PRn5di0rwbbSpsjchCL1I83JSMOgiDIfBoaK6NBi2dvm4/cpGhUt/biq3/+Aot+9QF++HoxAKDH5sS5j3+ELcW1Mp+UiIhI2RjkKZxaJeDBC1zT5zZ8Vob2Xt+yedvLWnCyuQcxOjUum5HhzyOSDLITogEAf/20DN/cuA83btiOJes+jLiL3yN17n48ZqbDRopRjxfuOBtxBg1q2syo77AM+HhduxmrX9wTcd/rREREo8EgLwRcNj0Dk9Ji0Wm245nPR94lNRwpi3fFrEzE6DX+PB4F2ZbiWvzv4OAL3Ei8+JV25E3hZM2wkpUQBZ1m6H+epHz12s0lEZm9JiIi8gaDvBCg6pfNe+bzcrT1WEf1+e09NvyvuA4AB66EOodTxNrNJUN+LBIvfqVMHnfkhZcd5S1o6hr+55wIoLbdjB3lLcE7FBERUQhhkBcilk9Lx5R0Izotdvz9s9Fl817bWw2r3Ykp6UZPLxeFph3lLahtH37YSiRd/DZ1WdDYaYEggIOEwoy3A4UiffAQERHRcBjkhYj+2bxnvyhHa7d32TxRFLFxZxUA4IZ5ORxOEeJ48dtH2o83PikG0TqWIIeTVKN3k1K9fR4REVGkYZAXQi6elobCjDh0Wx3422dlXn3O/up2HKnrhE6jwldnZwf4hBRo3l7UOiOgXNMzWZNZvLAzPy8RGSYDhrslJQDIMBkwPy8xmMciIiIKGQzyQoggCPjWha5s3j+2nkRzl+UMn9E3cOXSonSYorUBPR8F3pkufiXfeXU/Hv7vQdSNUNoZ6g7XSv14HLoSbtQqAWtWFALAoO916b/XrCiEWsXKBCIioqEwyAsxF0xNxfQsE3qsDvzt05Gzed0WO97YdwoAcD0HroQFby5+p2XGwSkCL+2oxHmPf4RfvFWCFi/Le0NJ3448ZvLC0fKiDKxfOQfppy25TzcZsH7lHCwv4ioYIiKi4bCRJcS4snkTccdzu/D8tgrcdU4+Uoz6IZ/75oFT6LY6MD4pGgvyWdYULqSL37WbSwYMYUk3GbBmRSGWF2VgR3kLHn/nCHaebMWGz8rx0o4q3HVOHu46Jx+xYbBCw+5w4nh9FwBgKjN5YWt5UQYuLEzHjvIWNHSakWp0lWgyg0dERDSy0L/ai0DLJqdiZk489le14a+flOLHlxcO+Txp4Mr188Zx4EqYOdPF7/y8RLxy70J8fKwRj285ipLaDjzx/nE8v60CX1tagJULcmHQqmX+XfiuvKkbVocTMTo1shOi5D4OBZBaJWBhQZLcxyAiIgopLNcMQYIg4FsXTAQAvLC9Ag0dg/uujtZ1Ym9lGzQqAVeflRXsI1IQSBe/V87KwsKCpEHZDUEQsGxyKt58YAmeumk28pNj0NJtxc/fOoylj3+Ml3ZUwuZwynT6sTns3o83Od0I1f+3d/9BUdf7Hsdfu/EzgQ3orEBgUqnlLFamaR0y+6VO/riWnemax6apsXKEHJnmWDP3Rud4G3SaMufMVGpzuH9405zU8txpSAuFayB0EBPSLBRTFIQQwfwFyOf+kWyurIK6P9jd52NmR9h973c/35n3vOW938/38+GqDgAAgAuavAD14NA/aOSgG3S2s0sfFO3r8fqa8wuuPHKHnWXGQ5zVatGUESnatGCclszIULItSg1tZ/T6+ipNWFqsjd8dCajVOM91GX29+6gkKX5ARMhs/A4AANBXNHkBymKxKOexYZKk/yk76LKK4pmOc9pQeViS9O8suILzwq6z6unRg7Tl1fH6zynDlTAgQrW/nNQrqys1+e/bVPjDURnTvxumgup6ZS4p1Off/bag0Nd7GpW5pFAF1fV+HhkAAED/QZMXwP54W6JGD45Xe2eXPtha43x+0+6jOn6qQ8m2KI0b+gc/jhD9UVT4dXohM13Ff3lIOY8NVWxkmPbUt+n5//6X/vRhqcr2N/t7iG4VVNdr7qodLovNSFJD6xnNXbWDRg8AAOA8mrwAduG+eR+XHdT/fndEn+88rOXnp2/+aVQaq9DhkmIiw/TKI0NU/JeH9NK4WxQZZtW/fm7R0yu269l/lKuqrtXfQ3Q612X013/ulrvrjN3P/fWfu5m6CQAAIFbXDHj333qjhthj9FPjr8paXeny2sBLbK0AXCh+QIRef/wOPZ+Zrr8X/qQ15YdU/GOTin9s0uMZScp5bJhus8e4vOdcl/HZsvan2jv1xa76HlfwLmQk1beeUXntMVZiBAAAIY8mL8AVVNfrp8Zf3b72H59VKzEmgk2D0ScD46L0X9MzNOeBW/TeVz/ps52H9UVVgwqqGzRjZKrmPzpEqfHXq6C6vscefckX7NF3pU61d+pwy2nVtZxWXcup8//+/nPzFWzk3nji0o0gAABAqLCY/r7SwmW0tbXJZrOptbVVcXGhtyHyuS6jzCWFl7zCYdFvG2RvW/gw0zZxxX5oaNM7m37U5vMrWUZcZ9Ufb0vUlr1NPWK7s+uDP4/s0eh5oomLDrfqdEfv2z2snjOWK3kAACBgeKuf4UpeACuvPcYUNnjN7UlxWvnsKFUebNHbX+5Vyb5mtw2e9Pt9cQvX7VLFzy06cvzMFTVxsZFhSk24Xqnx0ecfrj/HRIYpc0mhGlrPuL0vr/sLjXvTE676fAEAAIIFTV4A6+vUNKaw4VrcPSheH88Zq5XF+/XWF3suG9t6ulMr/6+2x/O9NXG26PBex5E7dbjmrtohi+TS6FkueJ0r1gAAADR5Aa2vm5yzGTo8wR7Xt4V8Hhx6o8YNtV9xE9ebSY5kffDnkT3uB0y6hvsBAQAAghFNXgC7Nz1BybYoprDBJ/r6ZcHLD97mtenBkxzJemx4ks9W9gQAAAhE7JMXwK6zWpQ7dbik36esdWMKGzyt+0uFS2WTRb+tsuntLxWus1p0362J+re7btJ9tyaS3wAAABehyQtw3VPYkmyuV1mSbFFuVzoErhZfKgAAAAQGtlAIEr7cnBqhzdP75AEAAIQqb/UzNHkArhhfKgAAAFw79skD0G903xcHAACA/od78gAAAAAgiNDkAQAAAEAQockDAAAAgCDi1yYvLy9Po0ePVmxsrOx2u6ZPn669e/f6c0gAAAAAEND82uQVFRVp3rx52r59uzZv3qzOzk5NmDBBJ0+e9OewAAAAACBg9astFJqammS321VUVKRx48b1Gs8WCgAAAAAClbf6mX51T15ra6skKSEhwc8jAQAAAIDA1G/2yTPGKCcnR5mZmXI4HG5jzp49q7Nnzzp/b2tr89XwAAAAACAg9JsreVlZWdq1a5dWr159yZi8vDzZbDbnIy0tzYcjBAAAAID+r1/ck5edna3PPvtMxcXFSk9Pv2Scuyt5aWlp3JMHAAAAIOB46548v07XNMYoOztbGzZs0NatWy/b4ElSZGSkIiMjfTQ6AAAAAAg8fm3y5s2bp48//liff/65YmNj1dDQIEmy2WyKjo7u9f3dFyG5Nw8AAABAoOnuYzw9udKv0zUtFovb5/Pz8/Xcc8/1+v66ujruywMAAAAQ0A4dOqTU1FSPHa9f3JN3tbq6unTkyBHFxsZesmH0te77BA8dOsR9gvA68g2+Qq7BV8g1+Aq5Bl+5XK4ZY3TixAmlpKTIavXcmpj9ZguFq2G1Wj3a8XpSXFwcBQM+Q77BV8g1+Aq5Bl8h1+Arl8o1m83m8c/qN1soAAAAAACuHU0eAAAAAAQRmjwPi4yMVG5uLls9wCfIN/gKuQZfIdfgK+QafMUfuRbQC68AAAAAAFxxJQ8AAAAAgghNHgAAAAAEEZo8AAAAAAgiNHlu5OXlafTo0YqNjZXdbtf06dO1d+9elxhjjN58802lpKQoOjpa48eP1/fff+8Sc/bsWWVnZ+vGG2/UgAEDNG3aNNXV1bnEtLS0aPbs2bLZbLLZbJo9e7aOHz/u7VNEP+HLXBs8eLAsFovL47XXXvP6OaJ/8FSurVixQuPHj1dcXJwsFovbekVdC22+zDXqWmjzRK4dO3ZM2dnZGjZsmK6//noNGjRIr7zyilpbW12OQ12DL/PNI7XNoIeJEyea/Px8U11dbXbu3GkmT55sBg0aZH799VdnzOLFi01sbKxZt26dqaqqMk8//bRJTk42bW1tzpiXX37Z3HTTTWbz5s1mx44d5qGHHjJ33nmn6ezsdMZMmjTJOBwOU1JSYkpKSozD4TBTpkzx6fnCf3yZazfffLP529/+Zurr652PEydO+PR84T+eyrWlS5eavLw8k5eXZySZlpaWHp9FXQttvsw16lpo80SuVVVVmSeffNJs3LjR1NTUmK+//toMGTLEzJgxw+WzqGvwZb55orbR5PVBY2OjkWSKioqMMcZ0dXWZpKQks3jxYmfMmTNnjM1mMx9++KExxpjjx4+b8PBws2bNGmfM4cOHjdVqNQUFBcYYY3bv3m0kme3btztjSktLjSTzww8/+OLU0M94K9eM+a1gLF261Dcngn7vanLtQlu2bHH7hzd1DRfzVq4ZQ12Dq2vNtW5r1641ERERpqOjwxhDXYN73so3YzxT25iu2Qfdl1ATEhIkSbW1tWpoaNCECROcMZGRkXrwwQdVUlIiSaqoqFBHR4dLTEpKihwOhzOmtLRUNptNY8aMccaMHTtWNpvNGYPQ4q1c67ZkyRIlJibqrrvu0ltvvaX29nZvnxL6qavJtb6gruFi3sq1btQ1dPNUrrW2tiouLk5hYWGSqGtwz1v51u1aa1tY7yGhzRijnJwcZWZmyuFwSJIaGhokSQMHDnSJHThwoH7++WdnTEREhOLj43vEdL+/oaFBdru9x2fa7XZnDEKHN3NNkubPn6+RI0cqPj5e5eXlev3111VbW6uPPvrIm6eFfuhqc60vqGu4kDdzTaKu4XeeyrXm5mYtWrRIL730kvM56hou5s18kzxT22jyepGVlaVdu3Zp27ZtPV6zWCwuvxtjejx3sYtj3MX35TgIPt7OtQULFjh/HjFihOLj4/XUU085vylC6PB0rvV2jKs9DgKft3ONuoZunsi1trY2TZ48WcOHD1dubu5lj3G54yD4eTvfPFHbmK55GdnZ2dq4caO2bNmi1NRU5/NJSUmS1OPbm8bGRmf3npSUpPb2drW0tFw25ujRoz0+t6mpqce3AAhu3s41d8aOHStJqqmp8cg5IDBcS671BXUN3byda+5Q10KTJ3LtxIkTmjRpkmJiYrRhwwaFh4e7HIe6hm7ezjd3rqa20eS5YYxRVlaW1q9fr8LCQqWnp7u8np6erqSkJG3evNn5XHt7u4qKinT//fdLku655x6Fh4e7xNTX16u6utoZc99996m1tVXl5eXOmLKyMrW2tjpjENx8lWvuVFZWSpKSk5M9eUropzyRa31BXYOvcs0d6lpo8VSutbW1acKECYqIiNDGjRsVFRXlchzqGiTf5Zs7V1XbrmnZliA1d+5cY7PZzNatW12WLj116pQzZvHixcZms5n169ebqqoqM3PmTLfL2qemppqvvvrK7Nixwzz88MNut1AYMWKEKS0tNaWlpSYjI4MleUOIr3KtpKTEvPvuu6aystLs37/ffPLJJyYlJcVMmzbN5+cM//BUrtXX15vKykqzcuVKI8kUFxebyspK09zc7IyhroU2X+UadQ2eyLW2tjYzZswYk5GRYWpqalyOw99ruJCv8s1TtY0mzw1Jbh/5+fnOmK6uLpObm2uSkpJMZGSkGTdunKmqqnI5zunTp01WVpZJSEgw0dHRZsqUKebgwYMuMc3NzWbWrFkmNjbWxMbGmlmzZrldJhrByVe5VlFRYcaMGWNsNpuJiooyw4YNM7m5uebkyZO+OlX4madyLTc3t9fjUNdCm69yjboGT+Ra9xYd7h61tbXOOOoafJVvnqptlvODBgAAAAAEAe7JAwAAAIAgQpMHAAAAAEGEJg8AAAAAgghNHgAAAAAEEZo8AAAAAAgiNHkAAAAAEERo8gAAAAAgiNDkAQAAAEAQockDAAAAgCBCkwcACHrGGD366KOaOHFij9fef/992Ww2HTx40A8jAwDA82jyAABBz2KxKD8/X2VlZVq+fLnz+draWi1cuFDLli3ToEGDPPqZHR0dHj0eAAB9RZMHAAgJaWlpWrZsmV599VXV1tbKGKMXXnhBjzzyiO699149/vjjiomJ0cCBAzV79mz98ssvzvcWFBQoMzNTN9xwgxITEzVlyhTt27fP+fqBAwdksVi0du1ajR8/XlFRUVq1apU/ThMAAFmMMcbfgwAAwFemT5+u48ePa8aMGVq0aJG+/fZbjRo1SnPmzNGzzz6r06dPa+HChers7FRhYaEkad26dbJYLMrIyNDJkyf1xhtv6MCBA9q5c6esVqsOHDig9PR0DR48WO+8847uvvtuRUZGKiUlxc9nCwAIRTR5AICQ0tjYKIfDoebmZn366aeqrKxUWVmZvvzyS2dMXV2d0tLStHfvXg0dOrTHMZqammS321VVVSWHw+Fs8t577z3Nnz/fl6cDAEAPTNcEAIQUu92uF198UXfccYeeeOIJVVRUaMuWLYqJiXE+br/9dklyTsnct2+fnnnmGd1yyy2Ki4tTenq6JPVYrGXUqFG+PRkAANwI8/cAAADwtbCwMIWF/fZfYFdXl6ZOnaolS5b0iEtOTpYkTZ06VWlpaVq5cqVSUlLU1dUlh8Oh9vZ2l/gBAwZ4f/AAAPSCJg8AENJGjhypdevWafDgwc7G70LNzc3as2ePli9frgceeECStG3bNl8PEwCAPmO6JgAgpM2bN0/Hjh3TzJkzVV5erv3792vTpk16/vnnde7cOcXHxysxMVErVqxQTU2NCgsLlZOT4+9hAwBwSTR5AICQlpKSom+++Ubnzp3TxIkT5XA4NH/+fNlsNlmtVlmtVq1Zs0YVFRVyOBxasGCB3n77bX8PGwCAS2J1TQAAAAAIIlzJAwAAAIAgQpMHAAAAAEGEJg8AAAAAgghNHgAAAAAEEZo8AAAAAAgiNHkAAAAAEERo8gAAAAAgiNDkAQAAAEAQockDAAAAgCBCkwcAAAAAQYQmDwAAAACCCE0eAAAAAASR/wfYzkWt8MPL1AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#EXTREMES\n",
    "any_ext = False\n",
    "\n",
    "if \"EMXT\" in annual.columns and annual[\"EMXT\"].notna().any():\n",
    "    ann_emxt = annual.loc[annual[\"EMXT\"].notna(), [\"Year\",\"EMXT\"]].sort_values(\"Year\")\n",
    "    plt.figure(figsize=(9,5))\n",
    "    plt.plot(ann_emxt[\"Year\"], ann_emxt[\"EMXT\"], marker=\"o\")\n",
    "    plt.xlabel(\"Year\"); plt.ylabel(\"°F\")\n",
    "    plt.title(\"Extreme Max Temperature (EMXT)\")\n",
    "    plt.tight_layout(); plt.show(); any_ext = True\n",
    "\n",
    "if \"EMNT\" in annual.columns and annual[\"EMNT\"].notna().any():\n",
    "    ann_emnt = annual.loc[annual[\"EMNT\"].notna(), [\"Year\",\"EMNT\"]].sort_values(\"Year\")\n",
    "    plt.figure(figsize=(9,5))\n",
    "    plt.plot(ann_emnt[\"Year\"], ann_emnt[\"EMNT\"], marker=\"o\")\n",
    "    plt.xlabel(\"Year\"); plt.ylabel(\"°F\")\n",
    "    plt.title(\"Extreme Min Temperature (EMNT)\")\n",
    "    plt.tight_layout(); plt.show(); any_ext = True\n",
    "\n",
    "if \"EMXP\" in annual.columns and annual[\"EMXP\"].notna().any():\n",
    "    ann_emxp = annual.loc[annual[\"EMXP\"].notna(), [\"Year\",\"EMXP\"]].sort_values(\"Year\")\n",
    "    plt.figure(figsize=(9,5))\n",
    "    plt.plot(ann_emxp[\"Year\"], ann_emxp[\"EMXP\"], marker=\"o\")\n",
    "    plt.xlabel(\"Year\"); plt.ylabel(\"Inches\")\n",
    "    plt.title(\"Extreme Daily Precipitation (EMXP)\")\n",
    "    plt.tight_layout(); plt.show(); any_ext = True\n",
    "\n",
    "if not any_ext:\n",
    "    print(\"No EMXT/EMNT/EMXP columns found.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "903c9aa6-1ffd-4a22-80b7-37832a54d50b",
   "metadata": {},
   "source": [
    "Conclusion Extremes (Temperature and Precipitation Events)\n",
    "\n",
    "The extremes section examined the most intense annual conditions—maximum temperature (EMXT), minimum temperature (EMNT), and extreme daily precipitation (EMXP)—to see whether rare events are changing. The code iterated through available columns and produced individual Matplotlib plots, each using markers to highlight outliers. We used this approach because it allows independent visual inspection of each variable without additional data transformation, making anomalies immediately visible. The plots showed that maximum extremes remain high with occasional spikes, minimum extremes are trending upward, and extreme precipitation events are irregular but occasionally intense. This pattern aligns with global observations that heat extremes persist and cold extremes lessen. The straightforward loop-based plotting code efficiently surfaces these patterns, proving that even basic Python visualization can uncover meaningful environmental insights."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5a6fa2e-ef15-4469-823c-de438f4cbb32",
   "metadata": {},
   "source": [
    "**CONCLUSION**\n",
    "\n",
    "Across all analyses, the workflow intentionally progressed from data aggregation (similar to MapReduce concepts) to statistical modeling and visual confirmation, illustrating a complete analytical cycle. Each code block was selected for its pedagogical value: pandas for grouping and cleaning, matplotlib for clear visualization, and scikit-learn for quantitative modeling. The combination of these tools allowed us to move from raw NOAA records to a cohesive narrative of Champaign’s changing climate. The consistent findings, a modest upward temperature trend, narrowing daily range, increased cooling demand, and warmer extremes, paint a clear picture of gradual regional warming. These conclusions demonstrate both the analytical power of Python’s data-science ecosystem and the practical relevance of reproducible, well-commented code in environmental analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cb8cecb-9722-42c5-9e2b-c5fa1b2622de",
   "metadata": {},
   "source": [
    "**Other VISUALIZATIONS**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c817640b-8bb7-417e-90dd-3b7db1276a04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "tcol = target_col if 'target_col' in globals() else next((c for c in [\"TAVG\",\"TMAX\",\"TMIN\"] if c in annual.columns), None)\n",
    "assert tcol is not None, \"Need TAVG/TMAX/TMIN in `annual`\"\n",
    "\n",
    "baseline_mask = (annual[\"Year\"] >= 2000) & (annual[\"Year\"] <= 2009)\n",
    "baseline = annual.loc[baseline_mask, tcol].mean()\n",
    "\n",
    "anoms = annual.copy()\n",
    "anoms[\"anomaly\"] = anoms[tcol] - baseline\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "colors = np.where(anoms[\"anomaly\"] >= 0, \"firebrick\", \"steelblue\")\n",
    "plt.bar(anoms[\"Year\"], anoms[\"anomaly\"], color=colors)\n",
    "plt.axhline(0, color=\"k\", linewidth=1)\n",
    "plt.title(f\"{tcol} Anomalies vs 2000–2009 Baseline (Champaign, IL)\")\n",
    "plt.xlabel(\"Year\"); plt.ylabel(f\"{tcol} anomaly (°F)\")\n",
    "plt.tight_layout(); plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76168a9e-b842-4a8c-867d-95b522dc6c5c",
   "metadata": {},
   "source": [
    "Years above zero are warmer than the 2000–2009 average; below zero are cooler. A cluster of positive bars toward recent years = intuitive warming story."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "d1631837-9618-4f5c-b132-f8eacff0daef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Rolling mean and variability Band\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "tcol = tcol\n",
    "s = annual.set_index(\"Year\")[tcol].sort_index()\n",
    "\n",
    "roll = s.rolling(window=5, min_periods=3, center=True)\n",
    "mean5 = roll.mean()\n",
    "std5 = roll.std()\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.plot(s.index, s.values, marker=\"o\", linewidth=1, label=\"Annual\")\n",
    "plt.plot(mean5.index, mean5.values, linewidth=2, label=\"5-yr rolling mean\")\n",
    "# variability band: mean ± std\n",
    "plt.fill_between(mean5.index, (mean5-std5).values, (mean5+std5).values, alpha=0.2, label=\"±1σ (5-yr)\")\n",
    "plt.title(f\"{tcol} with 5-Year Rolling Mean and Variability (Champaign, IL)\")\n",
    "plt.xlabel(\"Year\"); plt.ylabel(f\"{tcol} (°F)\")\n",
    "plt.legend(); plt.tight_layout(); plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "258d026d-a21d-4437-8024-54c078ed0f67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Boxplots\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df_dec = annual.copy()\n",
    "df_dec[\"Decade\"] = (df_dec[\"Year\"] // 10) * 10\n",
    "\n",
    "vars_to_plot = [c for c in [\"TAVG\",\"TMAX\",\"TMIN\"] if c in df_dec.columns]\n",
    "for v in vars_to_plot:\n",
    "    plt.figure(figsize=(8,5))\n",
    "    groups = [g[v].dropna().values for _, g in df_dec.groupby(\"Decade\")]\n",
    "    labels = [str(int(d))+\"s\" for d in sorted(df_dec[\"Decade\"].unique())]\n",
    "    plt.boxplot(groups, labels=labels, showmeans=True)\n",
    "    plt.title(f\"{v} by Decade — Distribution Shift\")\n",
    "    plt.xlabel(\"Decade\"); plt.ylabel(f\"{v} (°F)\")\n",
    "    plt.tight_layout(); plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "4328ecd6-1f4c-4c08-9c37-3107f3f56548",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Stacked\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "if \"HTDD\" in annual.columns or \"CLDD\" in annual.columns:\n",
    "    dd = annual[[\"Year\"] + [c for c in [\"HTDD\",\"CLDD\"] if c in annual.columns]].sort_values(\"Year\").set_index(\"Year\")\n",
    "\n",
    "    plt.figure(figsize=(10,5))\n",
    "    colors = [\"#1f77b4\", \"#ff7f0e\"]  # blue, orange\n",
    "    labels = [c for c in dd.columns]\n",
    "    plt.stackplot(dd.index, [dd[c] for c in dd.columns], labels=labels, colors=colors[:len(dd.columns)])\n",
    "\n",
    "    plt.title(\"Heating vs Cooling Degree Days — Champaign County\")\n",
    "    plt.xlabel(\"Year\"); plt.ylabel(\"Degree Days\")\n",
    "    plt.legend(); plt.tight_layout(); plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "365efc8e-6794-4a74-8541-14ea320e2b6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 900x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Extreme event timeline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "TMAX_TH = annual.get(\"EMXT\").quantile(0.75) if \"EMXT\" in annual else None\n",
    "TMIN_TH = annual.get(\"EMNT\").quantile(0.25) if \"EMNT\" in annual else None\n",
    "PRCP_TH = annual.get(\"EMXP\").quantile(0.90) if \"EMXP\" in annual else None\n",
    "\n",
    "if \"EMXT\" in annual.columns:\n",
    "    plt.figure(figsize=(9,4))\n",
    "    plt.plot(annual[\"Year\"], annual[\"EMXT\"], marker=\"o\")\n",
    "    if TMAX_TH is not None: plt.axhline(TMAX_TH, color=\"r\", linestyle=\"--\", label=\"75th pct\")\n",
    "    plt.title(\"Extreme Max Temperature (EMXT)\"); plt.xlabel(\"Year\"); plt.ylabel(\"°F\")\n",
    "    if TMAX_TH is not None: plt.legend()\n",
    "    plt.tight_layout(); plt.show()\n",
    "\n",
    "if \"EMNT\" in annual.columns:\n",
    "    plt.figure(figsize=(9,4))\n",
    "    plt.plot(annual[\"Year\"], annual[\"EMNT\"], marker=\"o\")\n",
    "    if TMIN_TH is not None: plt.axhline(TMIN_TH, color=\"r\", linestyle=\"--\", label=\"25th pct\")\n",
    "    plt.title(\"Extreme Min Temperature (EMNT)\"); plt.xlabel(\"Year\"); plt.ylabel(\"°F\")\n",
    "    if TMIN_TH is not None: plt.legend()\n",
    "    plt.tight_layout(); plt.show()\n",
    "\n",
    "if \"EMXP\" in annual.columns:\n",
    "    plt.figure(figsize=(9,4))\n",
    "    plt.plot(annual[\"Year\"], annual[\"EMXP\"], marker=\"o\")\n",
    "    if PRCP_TH is not None: plt.axhline(PRCP_TH, color=\"r\", linestyle=\"--\", label=\"90th pct\")\n",
    "    plt.title(\"Extreme Daily Precipitation (EMXP)\"); plt.xlabel(\"Year\"); plt.ylabel(\"Inches\")\n",
    "    if PRCP_TH is not None: plt.legend()\n",
    "    plt.tight_layout(); plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "21127474-2f90-4977-91ef-adc571ab8963",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_c54e9e85de77d24fb4539205a936701d {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "                .leaflet-container { font-size: 1rem; }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;\n",
       "    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_c54e9e85de77d24fb4539205a936701d&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;\n",
       "    \n",
       "    \n",
       "            var map_c54e9e85de77d24fb4539205a936701d = L.map(\n",
       "                &quot;map_c54e9e85de77d24fb4539205a936701d&quot;,\n",
       "                {\n",
       "                    center: [40.14001850787667, -88.1991302854328],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 9,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_6d82e3c7dfb4ec9655d2469f147aaa87 = L.tileLayer(\n",
       "                &quot;https://cartodb-basemaps-{s}.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;\\u0026copy; \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors \\u0026copy; \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://cartodb.com/attributions\\&quot;\\u003eCartoDB\\u003c/a\\u003e, CartoDB \\u003ca target=\\&quot;_blank\\&quot; href =\\&quot;http://cartodb.com/attributions\\&quot;\\u003eattributions\\u003c/a\\u003e&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "        function geo_json_d3611c7cb95ff8b400a2c68bcedc8ec7_styler(feature) {\n",
       "            switch(feature.id) {\n",
       "                default:\n",
       "                    return {&quot;color&quot;: &quot;#000000&quot;, &quot;fillColor&quot;: &quot;#ff784e&quot;, &quot;fillOpacity&quot;: 0.25, &quot;weight&quot;: 1.5};\n",
       "            }\n",
       "        }\n",
       "\n",
       "        function geo_json_d3611c7cb95ff8b400a2c68bcedc8ec7_onEachFeature(feature, layer) {\n",
       "            layer.on({\n",
       "            });\n",
       "        };\n",
       "        var geo_json_d3611c7cb95ff8b400a2c68bcedc8ec7 = L.geoJson(null, {\n",
       "                onEachFeature: geo_json_d3611c7cb95ff8b400a2c68bcedc8ec7_onEachFeature,\n",
       "            \n",
       "                style: geo_json_d3611c7cb95ff8b400a2c68bcedc8ec7_styler,\n",
       "        });\n",
       "\n",
       "        function geo_json_d3611c7cb95ff8b400a2c68bcedc8ec7_add (data) {\n",
       "            geo_json_d3611c7cb95ff8b400a2c68bcedc8ec7\n",
       "                .addData(data)\n",
       "                .addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        }\n",
       "            geo_json_d3611c7cb95ff8b400a2c68bcedc8ec7_add({&quot;features&quot;: [{&quot;geometry&quot;: {&quot;coordinates&quot;: [[[-88.4600264, 40.3984906], [-88.4414422, 40.3985886], [-88.4228569, 40.398403], [-88.4222181, 40.3983966], [-88.4035989, 40.398190400000004], [-88.403122, 40.3981018], [-88.3846342, 40.3983713], [-88.36592, 40.398455], [-88.3468682, 40.398324099999996], [-88.3289197, 40.398479699999996], [-88.3283352, 40.3984657], [-88.3092264, 40.3984993], [-88.3087599, 40.398445], [-88.2906957, 40.3989083], [-88.2902807, 40.3989068], [-88.2713934, 40.399052499999996], [-88.2526154, 40.3993398], [-88.2336451, 40.3994622], [-88.213386, 40.3995786], [-88.1941339, 40.3996999], [-88.1748492, 40.3998149], [-88.1558282, 40.4001036], [-88.1366177, 40.4002851], [-88.117445, 40.4005549], [-88.0979505, 40.4004839], [-88.07879439999999, 40.4002841], [-88.0593745, 40.4004422], [-88.0402756, 40.4004356], [-88.0215148, 40.4004853], [-88.0022675, 40.4006611], [-87.9903462, 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[-88.4606835, 40.2523506], [-88.4604079, 40.266942900000004], [-88.4604064, 40.2670436], [-88.4604077, 40.2673168], [-88.4604634, 40.281789], [-88.4603346, 40.2963134], [-88.46027839999999, 40.3110397], [-88.4602812, 40.3257981], [-88.4605463, 40.3401337], [-88.46027, 40.354746], [-88.4603429, 40.3693998], [-88.4600822, 40.3839236], [-88.4600264, 40.3984906]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;14&quot;, &quot;properties&quot;: {&quot;COUNTY_NAM&quot;: &quot;CHAMPAIGN&quot;, &quot;CO_FIPS&quot;: 19}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
       "\n",
       "        \n",
       "    \n",
       "            geo_json_d3611c7cb95ff8b400a2c68bcedc8ec7.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     Champaign County\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_8cee52af7c28601ac750ba02a68ac9f8 = L.circleMarker(\n",
       "                [40.0944976806641, -88.1281814575195],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_8cee52af7c28601ac750ba02a68ac9f8.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     URBANA 4.2 ESE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_1db1b857444f3073d20a573486204718 = L.circleMarker(\n",
       "                [40.1769218444824, -88.3993530273438],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_1db1b857444f3073d20a573486204718.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     MAHOMET 1.2 S, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_8df3dd3aba9080fc920cec4321ba9560 = L.circleMarker(\n",
       "                [40.1857, -88.3981],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_8df3dd3aba9080fc920cec4321ba9560.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     MAHOMET, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_50cad6f4a1bd2f971fe9817b533f7f4f = L.circleMarker(\n",
       "                [40.09577, -88.26204],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_50cad6f4a1bd2f971fe9817b533f7f4f.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     CHAMPAIGN 1.2 S, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_07182edf7ef62a856f1930c676654ae2 = L.circleMarker(\n",
       "                [40.06482, -88.24263],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_07182edf7ef62a856f1930c676654ae2.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     CHAMPAIGN 3.5 SSE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_5bb7535a6f8256ea2e9c0bcd618c227b = L.circleMarker(\n",
       "                [40.053922, -87.983999],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_5bb7535a6f8256ea2e9c0bcd618c227b.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     HOMER 2.0 NW, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_02ebae219796598e4eeca3bda7bd2c1f = L.circleMarker(\n",
       "                [40.122634, -88.159897],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_02ebae219796598e4eeca3bda7bd2c1f.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     URBANA 2.6 ENE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_cf488dd1be883897c32afaa88a0943f7 = L.circleMarker(\n",
       "                [40.3131, -88.1596],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_cf488dd1be883897c32afaa88a0943f7.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     RANTOUL, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_5e2f351c9852edc24bfd0beb1a7c928e = L.circleMarker(\n",
       "                [40.05972, -87.97556],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_5e2f351c9852edc24bfd0beb1a7c928e.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     HOMER 4 NNW, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_8172dc5372acdef19da6df287166e01f = L.circleMarker(\n",
       "                [40.0324, -88.27547],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_8172dc5372acdef19da6df287166e01f.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     CHAMPAIGN URBANA WILLARD AIRPORT, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_356e8f3d6f055902e92836a50d5ed000 = L.circleMarker(\n",
       "                [40.117683, -88.263324],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_356e8f3d6f055902e92836a50d5ed000.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     CHAMPAIGN 0.3 NNE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_a61e748d40c2a6a30369d1adbc18c1c7 = L.circleMarker(\n",
       "                [40.0528, -88.3729],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_a61e748d40c2a6a30369d1adbc18c1c7.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     CHAMPAIGN 9 SW, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_cd2a8d48e6e056f71b2d52f1b665e920 = L.circleMarker(\n",
       "                [40.068963, -88.539028],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_cd2a8d48e6e056f71b2d52f1b665e920.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     MONTICELLO 3.5 NNE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_767f46d809a777d84f1c6e88794049b3 = L.circleMarker(\n",
       "                [40.145699, -88.27378],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_767f46d809a777d84f1c6e88794049b3.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     CHAMPAIGN 2.3 NNW, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_97c1e5fc967c24e456be18a11ffb5e69 = L.circleMarker(\n",
       "                [40.117062, -88.266563],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_97c1e5fc967c24e456be18a11ffb5e69.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     CHAMPAIGN 0.3 NNW, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_8cc38d323ab794706f1718976452d010 = L.circleMarker(\n",
       "                [40.1225, -88.3116],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_8cc38d323ab794706f1718976452d010.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     CHAMPAIGN 2.6 WNW, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_e53a245f8ef9c8ca3718fece4820cd4b = L.circleMarker(\n",
       "                [40.1113739013672, -88.2605056762695],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_e53a245f8ef9c8ca3718fece4820cd4b.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     CHAMPAIGN 0.3 ESE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_8b09480a3fcb56d70aa2033278b577a1 = L.circleMarker(\n",
       "                [40.136693, -88.48164],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_8b09480a3fcb56d70aa2033278b577a1.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     WHITE HEATH 3.7 NNE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_823ff778e3fa4460677cd7b919b5334b = L.circleMarker(\n",
       "                [40.0780699, -88.253663],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_823ff778e3fa4460677cd7b919b5334b.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     SAVOY 0.9 N, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_7800ce7181d02874fe1709cbc3634da1 = L.circleMarker(\n",
       "                [40.32533, -88.34642],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_7800ce7181d02874fe1709cbc3634da1.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     FISHER, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_3bc9256ffcb486753f96fcfd3109e068 = L.circleMarker(\n",
       "                [40.1970644, -88.3712062],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_3bc9256ffcb486753f96fcfd3109e068.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     MAHOMET 1.6 E, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_74fbf14a676f908f226e3e1f6d8ccbad = L.circleMarker(\n",
       "                [39.965483, -88.348517],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_74fbf14a676f908f226e3e1f6d8ccbad.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     SADORUS 0.2 WSW, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_dff4eaa18babd9d56fb6ddc112e0cae3 = L.circleMarker(\n",
       "                [40.117559, -88.021291],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_dff4eaa18babd9d56fb6ddc112e0cae3.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     ST. JOSEPH 1.1 ENE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_162d71559d2b3fc165514711b44e29cf = L.circleMarker(\n",
       "                [40.08408, -88.24039],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_162d71559d2b3fc165514711b44e29cf.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     CHAMPAIGN 3 S, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_bae6981fcf32b743c6cc285c9a4172d0 = L.circleMarker(\n",
       "                [40.1147, -88.2234],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_bae6981fcf32b743c6cc285c9a4172d0.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     URBANA 2, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_e7ca0c53c570141bd196e23453c1ce10 = L.circleMarker(\n",
       "                [40.0763, -88.1908],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_e7ca0c53c570141bd196e23453c1ce10.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     URBANA 2.4 SSE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_23c458de93a88036c50297b9da6ef83a = L.circleMarker(\n",
       "                [40.107759, -88.21512],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_23c458de93a88036c50297b9da6ef83a.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     URBANA 0.5 W, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_6e91a2e764ad1ed54c4971011b5d3632 = L.circleMarker(\n",
       "                [40.090612, -88.17101],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_6e91a2e764ad1ed54c4971011b5d3632.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     URBANA 2.2 SE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_040c8e96d824ccb4a12b69a7c9885d01 = L.circleMarker(\n",
       "                [40.00626, -88.15295],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_040c8e96d824ccb4a12b69a7c9885d01.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     PHILO, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_92c738d0e57dc07e5bd4c685e1039d00 = L.circleMarker(\n",
       "                [40.036727, -88.070112],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_92c738d0e57dc07e5bd4c685e1039d00.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     SIDNEY 0.9 N, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_436d1257afde0448546430b63aa697ea = L.circleMarker(\n",
       "                [40.167774, -88.519502],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_436d1257afde0448546430b63aa697ea.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     MANSFIELD 3.1 S, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_41c7b66262e17e35886f37a5a1cf2e26 = L.circleMarker(\n",
       "                [40.10667, -88.20398],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_41c7b66262e17e35886f37a5a1cf2e26.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     URBANA 0.1 SSE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_4d9e89e0854094225bb0e173fe41e7c0 = L.circleMarker(\n",
       "                [40.120601, -88.261352],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_4d9e89e0854094225bb0e173fe41e7c0.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     CHAMPAIGN 0.6 NNE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var circle_marker_c064f8ceb28a36c2cc4d60043005a53d = L.circleMarker(\n",
       "                [40.259317, -88.341997],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#d94841&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#d94841&quot;, &quot;fillOpacity&quot;: 0.9, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 4, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(map_c54e9e85de77d24fb4539205a936701d);\n",
       "        \n",
       "    \n",
       "            circle_marker_c064f8ceb28a36c2cc4d60043005a53d.bindTooltip(\n",
       "                `&lt;div&gt;\n",
       "                     MAHOMET 5.5 NE, IL US\n",
       "                 &lt;/div&gt;`,\n",
       "                {&quot;sticky&quot;: true}\n",
       "            );\n",
       "        \n",
       "&lt;/script&gt;\n",
       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f341f3e1d30>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import folium\n",
    "import geopandas as gpd\n",
    "import json\n",
    "\n",
    "#Center on Champaign centroid\n",
    "cent = champaign.to_crs(4326).geometry.unary_union.centroid\n",
    "m = folium.Map(location=[cent.y, cent.x], zoom_start=9, tiles=\"CartoDB positron\")\n",
    "\n",
    "#Add Champaign county polygon\n",
    "folium.GeoJson(\n",
    "    json.loads(champaign.to_crs(4326).to_json()),\n",
    "    name=\"Champaign County\",\n",
    "    style_function=lambda x: {\"fillColor\": \"#ff784e\", \"color\": \"#000000\", \"weight\": 1.5, \"fillOpacity\": 0.25},\n",
    "    tooltip=\"Champaign County\"\n",
    ").add_to(m)\n",
    "\n",
    "#Add stations with tooltips\n",
    "for _, r in gpts.iterrows():\n",
    "    folium.CircleMarker(\n",
    "        location=[r.geometry.y, r.geometry.x],\n",
    "        radius=4,\n",
    "        color=\"#d94841\",\n",
    "        fill=True,\n",
    "        fill_opacity=0.9,\n",
    "        tooltip=str(r[\"NAME\"])\n",
    "    ).add_to(m)\n",
    "\n",
    "m\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11d2a290-33fa-4ff3-b14a-d3d18880829c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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