Washington_Crime_Exploration_3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import scipy.stats as st\n",
    "import numpy as np\n",
    "import statsmodels.api as sm\n",
    "import seaborn as sn\n",
    "import gmaps\n",
    "import json\n",
    "from scipy.stats import sem,chisquare\n",
    "from scipy.stats import linregress\n",
    "from api_keys import g_key\n",
    "from matplotlib import cm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import Google Maps API Key"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "gmaps.configure(api_key=g_key)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import Crime Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Census_Tract</th>\n",
       "      <th>Pct_Pop_Below_Pov</th>\n",
       "      <th>Pct_Child_Below_Pov</th>\n",
       "      <th>Offense</th>\n",
       "      <th>Method</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Start_Date</th>\n",
       "      <th>CCN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>201</td>\n",
       "      <td>100.0</td>\n",
       "      <td>25.055524</td>\n",
       "      <td>THEFT/OTHER</td>\n",
       "      <td>OTHERS</td>\n",
       "      <td>38.912577</td>\n",
       "      <td>-77.073401</td>\n",
       "      <td>2017-10-18 17:00:00+00:00</td>\n",
       "      <td>17401735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>201</td>\n",
       "      <td>100.0</td>\n",
       "      <td>25.055524</td>\n",
       "      <td>THEFT/OTHER</td>\n",
       "      <td>OTHERS</td>\n",
       "      <td>38.912603</td>\n",
       "      <td>-77.074958</td>\n",
       "      <td>2017-11-20 05:55:00+00:00</td>\n",
       "      <td>17401924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>201</td>\n",
       "      <td>100.0</td>\n",
       "      <td>25.055524</td>\n",
       "      <td>THEFT/OTHER</td>\n",
       "      <td>OTHERS</td>\n",
       "      <td>38.910192</td>\n",
       "      <td>-77.069144</td>\n",
       "      <td>2017-07-18 18:15:00+00:00</td>\n",
       "      <td>17401306</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  Census_Tract  Pct_Pop_Below_Pov  Pct_Child_Below_Pov  \\\n",
       "0           0           201              100.0            25.055524   \n",
       "1           1           201              100.0            25.055524   \n",
       "2           2           201              100.0            25.055524   \n",
       "\n",
       "       Offense  Method   Latitude  Longitude                 Start_Date  \\\n",
       "0  THEFT/OTHER  OTHERS  38.912577 -77.073401  2017-10-18 17:00:00+00:00   \n",
       "1  THEFT/OTHER  OTHERS  38.912603 -77.074958  2017-11-20 05:55:00+00:00   \n",
       "2  THEFT/OTHER  OTHERS  38.910192 -77.069144  2017-07-18 18:15:00+00:00   \n",
       "\n",
       "        CCN  \n",
       "0  17401735  \n",
       "1  17401924  \n",
       "2  17401306  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filepath = \"Resources/merged_final.csv\"\n",
    "df = pd.read_csv(filepath, low_memory=False)\n",
    "\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Find Null Values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Identify Columns with NaN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0             0\n",
       "Census_Tract           0\n",
       "Pct_Pop_Below_Pov      0\n",
       "Pct_Child_Below_Pov    0\n",
       "Offense                0\n",
       "Method                 0\n",
       "Latitude               0\n",
       "Longitude              0\n",
       "Start_Date             0\n",
       "CCN                    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_nan_in_df = df.isnull().sum()\n",
    "#print (count_nan_in_df)\n",
    "count_nan_in_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 19759 entries, 0 to 19758\n",
      "Data columns (total 10 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Unnamed: 0           19759 non-null  int64  \n",
      " 1   Census_Tract         19759 non-null  int64  \n",
      " 2   Pct_Pop_Below_Pov    19759 non-null  float64\n",
      " 3   Pct_Child_Below_Pov  19759 non-null  float64\n",
      " 4   Offense              19759 non-null  object \n",
      " 5   Method               19759 non-null  object \n",
      " 6   Latitude             19759 non-null  float64\n",
      " 7   Longitude            19759 non-null  float64\n",
      " 8   Start_Date           19759 non-null  object \n",
      " 9   CCN                  19759 non-null  int64  \n",
      "dtypes: float64(4), int64(3), object(3)\n",
      "memory usage: 1.5+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Convert Date Columns to Date Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Start_Date'] = pd.to_datetime(df['Start_Date'], format='%Y-%m-%dT%H:%M:%S.%f')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Confirm Columns are now Timestamps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2017-11-20 05:55:00+0000', tz='UTC')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Start_Date'][1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Convert Census_Tract Column to String"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Census_Tract'] = df['Census_Tract'].astype(str)\n",
    "type(df['Census_Tract'][1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot Incidence of Crime over Time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filter for 2017 Data Only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = df['Start_Date'] > '2017-01-01 00:00:00+0000'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/bdr/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n",
      "/home/bdr/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py:3997: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  errors=errors,\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
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       "        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>Census_Tract</th>\n",
       "      <th>Pct_Pop_Below_Pov</th>\n",
       "      <th>Pct_Child_Below_Pov</th>\n",
       "      <th>Offense</th>\n",
       "      <th>Method</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Start_Date</th>\n",
       "      <th>CCN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19612</th>\n",
       "      <td>9301</td>\n",
       "      <td>10.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>THEFT F/AUTO</td>\n",
       "      <td>OTHERS</td>\n",
       "      <td>38.928129</td>\n",
       "      <td>-76.980002</td>\n",
       "      <td>2017-01-01 00:30:20+00:00</td>\n",
       "      <td>17000271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19613</th>\n",
       "      <td>7804</td>\n",
       "      <td>28.4</td>\n",
       "      <td>52.9</td>\n",
       "      <td>BURGLARY</td>\n",
       "      <td>OTHERS</td>\n",
       "      <td>38.898344</td>\n",
       "      <td>-76.926567</td>\n",
       "      <td>2017-01-01 00:01:46+00:00</td>\n",
       "      <td>17002228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19614</th>\n",
       "      <td>5201</td>\n",
       "      <td>7.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>THEFT F/AUTO</td>\n",
       "      <td>OTHERS</td>\n",
       "      <td>38.907235</td>\n",
       "      <td>-77.033262</td>\n",
       "      <td>2017-01-01 00:01:38+00:00</td>\n",
       "      <td>17068950</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Census_Tract  Pct_Pop_Below_Pov  Pct_Child_Below_Pov       Offense  \\\n",
       "19612         9301               10.4                  1.4  THEFT F/AUTO   \n",
       "19613         7804               28.4                 52.9      BURGLARY   \n",
       "19614         5201                7.1                  0.0  THEFT F/AUTO   \n",
       "\n",
       "       Method   Latitude  Longitude                Start_Date       CCN  \n",
       "19612  OTHERS  38.928129 -76.980002 2017-01-01 00:30:20+00:00  17000271  \n",
       "19613  OTHERS  38.898344 -76.926567 2017-01-01 00:01:46+00:00  17002228  \n",
       "19614  OTHERS  38.907235 -77.033262 2017-01-01 00:01:38+00:00  17068950  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2017 = df.loc[mask]\n",
    "df_2017.sort_values('Start_Date', ascending=False, inplace=True)\n",
    "df_2017.drop('Unnamed: 0', axis=1, inplace=True)\n",
    "df_2017.reset_index(drop=True, inplace=True)\n",
    "df_2017.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Incidence of Crime by Time of Day (2017): ColorMap Bar Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Groupby 'Start_Date' by day\n",
    "crime_hour_df = df_2017.groupby(df_2017[\"Start_Date\"].dt.hour)[\"CCN\"].count()\n",
    "crime_hour_df = pd.DataFrame(crime_hour_df)\n",
    "#crime_hour_df.sort_values('CCN', ascending=False, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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r11bVl5Pcr2+658S1dk8yrPxc7G/zcmK9QzYnXpPkg621ry7UHwB2NBKCAMz5ZLovh3PDhl9UVX/XWrupKqMf9vijUwwb/nSSX+sf75Ru+Ns7+mvsks2T8U+aXITj2tba6yY79RUoB7bWLlwijqV8PFsOZ3xVVT1hmASpqj2yuYrtX7N5+Ont081jd9o88T0g3crEi365bq1dXVWfy+Zhw4+tqt3mhg1X1UHZckL+f9uaJ7fIfb9dVe/O5mGJd03y7qr6jcmkYFXtmuSprbU3rMS9Z+Rfs/l9rCTfbq29Y7JTv1DFvfph61vrf1TVcNjwERPHJxdy+ct0c8ftlORR2Zx4aenmktuRzOJz+2/ZvMjGnlX1yLlhw/3v5PBvyNkTUwTMTJ8M/IcMqvuSHD34mzGsPj2vtfbhwf4wWXgzrVtE4z3ZPMz26MHh97XWrlxm2Kuiqh6bboj5j/ZN5yR5bGttscrrf8jmhOD9+oWT5hZ/+fWJvh9csWA7z8uWCcc/W+HrA8C6JiEIQJJubr+qeku6SeWT5MeSfLmq3p9uleEfSzfs8dnpvsQt5m+THJXNq1X+dVUdmM2rDM87xLC19p9VdUq61ViT5JVV9XPpFpq4Jsnd083V9uAkn8i2f0E8Jclnszkh9ytJPl9VJ6eryLlPusTDXdNVgL0zXQXPXHXYKVX1wSRfTJeI2ifdPH/3SvK/cvNEyXxem83ztN0hyaer6oR084g9fdDv2iT/Z6uf4cJ+N8nDsrkq57Ak5/XP54L+/g9Kl8z6drphkOvVyelWkH1Av//WqvqVdO/tDemqlR6a7vm8M8sbrvvIJKdX1WlJfjpbrrj9udbacFXYtNbOr6qT0q0sW9k8LPFjSyRItjsz+tz+ZboVb2/d73+oqt6RrjL3idlyiPBrt/lJLOzRVbVbusTRA9M9x2Ey8OPZMpH0lXSfmaSr8ntvut/Ng5L8whT3e2M2f+5vPWhfT3NO3kxVPT7dojNzQ4yvSfL3SX6t6mZTAx47SG6+Kd2/KXfq9z/SV9dOVu99IsnHJu75W0l+vN8drhSfJC/rVyhOko+21j46ce6tk7xg0PSx1tqZAYARkRAEYOjFSfZIN8wt6apdfmtrL9Jau7iqfjvJW9MlQ26Z5Jn94evSVf8stEDG/0iXqJtbmOQXMt0X6a3WWvthVR3W32/uC+X9srliZbL/lX0VzEnpkoQ7Z4mqnyliOL6qfiLJS/umfZK8ZKLbNUme0lrbuC33mrjvpVX1iHTJ27nX987Z8kv4dqG1dmP/Pn44yX7pqvIe128r5bR0qz5PLkRzZW6+WMScN6RLCA6t68TONljRz21r7byqOjzdgie37bfnzdP1ta21v5unfaU8MVvO4zf0N0le2Fobzrv3hiRPzea57349myvd3pGFf1eSJK21s/uk88GD5i+11lakOniGHpAt5xu8TZJXLtD3xHSfm7lq5Sek+5v6o+mSx3840f8rSQ6fp+L6iUkescA9njl4/P0kH504/rRsOexfdSAAo2NREQBu0lq7rrX2hHSVgH+f5KJ0lWlXpZv3611J/nPKa70tyX9Ll/y7Jt0XwFPSrR76T4uc950kP5OuSuYj6arTrk83R9g56b5MPi3JE7b6Cc5/v4vSVS89N93cepelqyr7bro5q96Qrlpwrv+n0yUPX5HkjL7fDekWOfhMuiTo49LNozZtDC9Ll2g6PsmF6ZKm16T7IvzmJA9srX1gG57mQve9uLV2SJJD0g1j/VK69+m6dO/9v6ar9PylBS+yTrTWzkvyk+kqXE9PtwDBDenez7PTJT6flM0VsFvrj5L8Rrqhwdeke98/mOShrbXPLRDTx5MMj30nS1fXbpdm8bltrf1Dkp9IV0X2pXSfw+vSLeDxviQHt9ZevPAVVsyN6ZJKF6RbLOM1Se7bWntma+3qYcfW2tfSrbp8Srq/m1en+zvxuHR/P6fxxon9ycU4dij9tAv3T/e3bmO6f3O+n67C9+VJfrq19o2Fr7B1qmqnbJ7fM0nOHK5iDQBjUUtMbwQAwDL1czU+ud99Q2vtRWsZD+tfVe2XZG5xi+uS7Nlau3QNQwIAdkCGDAMArKCquk+6ofc/mc3DRW9MVwEFN9PPafewdEONf29w6HjJQABgFgwZBgBYWS9JNyz+ddn8n6+vX8k5INnh3DXdPJUfSjfkOEkuTzc1AQCwg6qqt1fVJVX1hUHba6vqy1V1dlV9sKp2GRx7aVVtrKqvVNUvDdof3bdtrKrJ+cjnJSEIADAb16WbB/L3cvOFYmAh30m3yMbDW2ub1joYAGCmjkvy6Im2U5M8oLX2wHTTiLw0SarqfunmxL5/f85bqmqnfn7cNyc5NN3iiIf3fRdlyDAAwApqrR2Z5Mg1DoPtSGvt/HQrsgMAI9Ja+3hV7TPR9tHB7hlJHt8/PizJCa21a5N8vao2JnlIf2xjv8hequqEvu8XF7v3KBKCu+22W9tnn33WOgwAAACANXHWWWdd1lrbfa3jWC92q7u263LdTO/xX7ninCQ/GDQd21o7disu8fQk7+0f75EuQThnU9+WJBdNtD90qQuPIiG4zz775Mwzz1zrMAAAAADWRFVdsNYxrCfX5bo8tA6Z6T3+qZ34g9baAcs5t6penuSGJO+ea5qnW8v80wG2pa4/ioQgAAAAAGwPquqIJI9JckhrbS65tynJXoNueya5uH+8UPuCJAQBAAAAGJ+a8Vq7S9bp3VxVPTrJHyR5RGvt6sGhk5K8p6pen+TuSfZL8h/pKgf3q6p9k3wj3cIjT17qPhKCAAAAALDKqur4JAcl2a2qNiU5Kt2qwjsnObWqkuSM1tpzWmvnVNX70i0WckOS57XWbuyv8/wkH0myU5K3t9bOWereEoIAAAAAjE5tmG9avhX0w8UPt9YOn6f5bYv0f3WSV8/TfnKSk7cmtBnXRgIAAAAA64kKQQAAAADGpWr2cwiuY+N95gAAAAAwQioEAQAAABiVyirMIbiOqRAEAAAAgBFRIQgAAADA+Ix4DkEJQQAAAADGpZIYMgwAAAAAjIEKQQAAAABGppJSIQgAAAAAjIAKQQAAAABGpzaMt05uvM8cAAAAAEZIhSAAAAAA42MOQQAAAABgDFQIAgAAADAuVYk5BGevqt5eVZdU1RcGba+tqi9X1dlV9cGq2mVw7KVVtbGqvlJVvzRof3TftrGqXrJa8QMAAADAjmA1U6HHJXn0RNupSR7QWntgkq8meWmSVNX9kjwpyf37c95SVTtV1U5J3pzk0CT3S3J43xcAAAAAplc1220dW7WEYGvt40kun2j7aGvthn73jCR79o8PS3JCa+3a1trXk2xM8pB+29haO6+1dl2SE/q+AAAAAMAU1tMcgk9P8t7+8R7pEoRzNvVtSXLRRPtD57tYVT0rybOSZO+9917RQAEAYCU8asMT1jqEm5z6w/evdQgAsLo2rO8qvllaF7MnVtXLk9yQ5N1zTfN0a4u037yxtWNbawe01g7YfffdVyZQAAAAANjOrXmFYFUdkeQxSQ5prc0l9zYl2WvQbc8kF/ePF2oHAADY7j1qpyeudQg3OfXG9y7dCWB7VEnVuqiTWxNr+syr6tFJ/iDJ41prVw8OnZTkSVW1c1Xtm2S/JP+R5NNJ9quqfavqVukWHjlpteMGAAAAgO3VqlUIVtXxSQ5KsltVbUpyVLpVhXdOcmp1q6+c0Vp7TmvtnKp6X5IvphtK/LzW2o39dZ6f5CNJdkry9tbaOav1HAAAAADYEdSo5xBctYRga+3weZrftkj/Vyd59TztJyc5eQVDAwAAAIDRWPM5BAEAAABg1dV4KwTHO3siAAAAAIyQCkEAAAAAxkeFIAAAAAAwBioEAQAAABiXSrJhvHVy433mAAAAADBCKgQBAAAAGJkyhyAAAAAAMA4qBAEAAAAYHxWCAAAAAMAYqBAEAAAAYHxGXCEoIQgAAADAuFSSDeNNCBoyDAAAAAAjokIQAAAAgPExZBgAAGDH8+hdn7nWIWzhw5e/da1DAAAJQQAAAADGppIa70x6EoIAAACMispRYOwkBAEAAAAYF6sMAwAAAABjoUIQAAAAgPEZ8SrDKgQBAAAAYERUCAIArIJD7/Jbax3CTU759jFrHQIAwNpTIQgAAAAAjIEKQQAAAJbt0Ls+d61D2MIp33rLWocAbBdKhSAAAAAAMA4qBAEAAAAYl0qyQYUgAAAAADACKgQBAAAAGB9zCAIAAAAAY6BCEAAAAIDRaSoEAQAAAIAxUCEIAAAAwPiMuExuxE8dAAAAAMZHhSAAAAAA41KxyjAAAAAAMA4qBAEAAAAYmRp1haCEIAAAMJVD9/3dtQ5hC6d8/fVrHQIAbJckBAEAAAAYHxWCAAAAADAebcQJQYuKAAAAAMCIqBAEAAAAYFwqoy6TG/FTBwAAAIDxUSEIAAAAwPiYQxAAAAAAGAMVggAAAACMjwpBAAAAAGAMVAgCALBDOPS+L13rELZwypf+dK1DAAAW0FJpI64QlBAEAOBmJNcAAHZcEoIAAAAAjEtl1BPpjfipAwAAAMD4qBAEAAAAYHxGPIegCkEAAAAAGBEVggAAAACMzphXGVYhCAAAAAAjokIQAAAAgPEZb4GgCkEAAAAAGBMVggAAAACMjzkEAQAAAIAxUCEIAAAAwLhU0kZcJjfipw4AAAAA46NCEAAAAIDxMYcgAAAAADAGKgQBAAAAGJ023gJBFYIAAAAAMCYqBAEAAAAYmTKHIAAAAAAwDioEAQAAABiX6reRkhAEAAAAYHSaIcMAAAAAwBisWkKwqt5eVZdU1RcGbbtW1alVdW7/8459e1XVm6pqY1WdXVX7D845ou9/blUdsVrxAwAAALAD2TDjbR1bzfCOS/LoibaXJPlYa22/JB/r95Pk0CT79duzkhyTdAnEJEcleWiShyQ5ai6JCAAAAAAsbdUSgq21jye5fKL5sCTv7B+/M8mvDNrf1TpnJNmlqu6W5JeSnNpau7y1dkWSU3PzJCMAAAAALKilm0NwlttS1nI07VoXMN6ltfbNJOl/3rlv3yPJRYN+m/q2hdpvpqqeVVVnVtWZl1566YoHDgAAAADb4Lis0WjatU4ILmS+NGpbpP3mja0d21o7oLV2wO67776iwQEAAACwHatV2JawlqNp1zoh+O0++PQ/L+nbNyXZa9BvzyQXL9IOAAAAAOvJbnOjV/vtWVOcM7PRtEO3mCb6GTopyRFJ/qz/+aFB+/Or6oR0JY/fa619s6o+kuRPBqWPv5jkpascMwAAAKyqR/3sH691CFs49d9esdYhwDZrU1TxbaPLWmsHrNC1tnk07dCqVQhW1fFJPpnk3lW1qaqekS4R+KiqOjfJo/r9JDk5yXlJNiZ5a5LnJklr7fIk/zvJp/vtj/o2AAAAANjercpo2lWrEGytHb7AoUPm6duSPG+B67w9ydtXMDQAAAAAxmaKlYDXwKqMpl3rIcMAAAAAMDr9aNqD0s01uCndasF/luR9/cjaC5M8oe9+cpJfTjea9uokT0u60bRVNTeaNplyNK2EIAAAAACjswpzCC5+/zUcTbvWqwwDAAAAAKtIhSAAAAAA47MupxBcHSoEAQAAAGBEVAgCAAAAMC6VZMN4SwRVCAIAAADAiKgQBAAAAGB01nqV4bWkQhAAAAAARkSFIAAAAADjo0IQAAAAABgDFYIAAAAAjI45BAEAAACAUVAhCAAAAMC4VHXbSKkQBAAAAIARUSEIAAAAwKi0jHsOQQlBAAAAYEUd9OjXrHUIWzj9w3+w1iGwHo04IWjIMAAAAACMiApBAAAAAEZnzEOGVQgCAAAAwIioEAQAAABgXCpJjbdEUIUgAAAAAIyICkEAAAAARsccggAAAADAKKgQBAAAAGB8VAgCAAAAAGOgQhAAAACA0WkjLpMb8VMHAAAAgPFRIQgAAADAuFTMIQgAAAAAjIMKQQAAAABGp6kQBAAAAADGQIUgAAAAAONT4y0RVCEIAAAAACOiQhAAAACAUWkxhyAAAAAAMBIqBAEAAAAYnxFXCEoIAgDbnZ99/OvWOoQt/NuJv7fWIQAAwNQkBAEAAAAYlzKHIAAAAAAwEioEAQAAABgfFYIAAAAAwKJAv7kAACAASURBVBioEAQAAABgdMwhCAAAAACMggpBABi5Aw//i7UOYQufPP5/rnUIAACMwYgrBCUEAQAAABgdQ4YBAAAAgFFQIQgAAADAuFRGPWRYhSAAAAAAjIgKQQAAAABGp9V4SwRVCAIAAADAiKgQBAAAAGB8xlsgqEIQAAAAAMZEhSAAAAAAo9KSNBWCAAAAAMAYqBAEAAAAYHxUCAIAAAAAY6BCEAAAAIBxqagQBAAAAADGQYUgAAAAAKNjlWEAAAAAYBRUCAIAAAAwPioEAQAAAIAxUCEIAAAAwOiYQxAAAAAAGAUVggAAAACMjwpBAAAAAGAMVAgCAAAAMC5lDkEAAAAAYCRUCAIAAAAwPioEt15V3XKlgqiqF1XVOVX1hao6vqpuXVX7VtWnqurcqnpvVd2q77tzv7+xP77PSsUBAAAAADu6qRKCVfWCqvq1wf7bklxTVV+pqntvSwBVtUeSFyQ5oLX2gCQ7JXlSktckObq1tl+SK5I8oz/lGUmuaK3dM8nRfT8AAAAAmF7NeFvHph0y/IIkT0+Sqnp4kl9P8uQkv5bkL5I8ZgXiuE1VXZ/ktkm+meQX+nskyTuTvCrJMUkO6x8nyYlJ/rKqqrXWtjEGAFgR+z/n6LUO4Saf+asXrXUIAADAOjNtQnCPJOf3jx+b5P2ttfdV1X8m+cS2BNBa+0ZVvS7JhUmuSfLRJGcl+W5r7Ya+26Y+hrlYLurPvaGqvpfkTkkuG163qp6V5FlJsvfee29LiAAAAADsYKwyvLQrk+zeP35Uko/1j69PcuttCaCq7piu6m/fJHdP8iNJDp2n61wF4Hxv182qA1trx7bWDmitHbD77rvPcwoAAAAAo2XI8JI+muStVfXZJPdMckrffv8kX9/GGB6Z5OuttUuTpKo+kORnkuxSVbfoqwT3THJx339Tkr2SbKqqWyS5Q5LLtzEGAAAAYMR+6rnrZ9qXJPnsW0z9wuxMWyH4vCT/lmS3JI9vrc0l4PZPcvw2xnBhkodV1W2rqpIckuSLSU5L8vi+zxFJPtQ/PqnfT3/8n80fCAAAAMC02ips69lUFYKttSuT/PY87UdtawCttU9V1YlJPpPkhiSfTXJskv+X5ISq+uO+7W39KW9L8rdVtTFdZeCTtjUGAAAAABiLqRKCVXVjkru11i6ZaL9TkktaazttSxB9YnEyuXhekofM0/cHSZ6wLfcDAAAAYMS2g3n+ZmnaIcMLvUQ7J7luhWIBAAAAAGZs0QrBqvrd/mFL8pyq+v7g8E5Jfj7Jl2cUGwAAAADMxogrBJcaMjw3b2Al+c0kNw6OXZfk/CTPWfmwAAAAAIBZWDQh2FrbN0mq6rQkv9pau2JVogIAAACAGWoqBBfXWjt41oEAAAAAALM3VUIwSarqiUkOSXLnTCxG0lp73ArHBQAAAACzo0JwcVX12iS/k+S0JBenW2QEAAAAANjOTFsh+NQkh7fWTpxlMAAAAACwGsY8h+CGpbvc1O9zswwEAAAAAJi9aROCxyZ5yiwDAQAAAIBVUauwrWPTDhneJcmTq+pRSc5Ocv3wYGvtBSsdGAAAAACw8qZNCN4vm4cM32fimAVGAAAAANi+rPMqvlmaKiHYWjt41oEAAAAAALM3bYVgkqSqdkvy40k+11q7djYhAQAAAMBsWWV4CVV1u6p6f5JLkvx7kj369r+qqlfNLjwAAAAAYCVNu8rwa5LcPcn+Sa4ZtP/fJP99pYMCAAAAgJmyyvCSHpfkv7fWPldVw0VEvpTkHisfFgAAAAAwC9NWCN4xyXfmab9dkhtXLhwAAAAAWAXroEKwql5UVedU1Req6viqunVV7VtVn6qqc6vqvVV1q77vzv3+xv74Pst96tMmBD+drkpwzlyV4LPTzSkIAAAAAEypqvZI8oIkB7TWHpBkpyRPSjd139Gttf2SXJHkGf0pz0hyRWvtnkmO7vsty7RDhl+W5CNVdf/+nN/tHz8kycOXe3MAAAAAWHW1blYZvkWS21TV9Ulum+SbSX4hyZP74+9M8qokxyQ5rH+cJCcm+cuqqtbacHq/qUxVIdha+/ckP5PkVkm+luSQJBcnObC19pmtvSkAAAAA7OB2q6ozB9uzhgdba99I8rokF6ZLBH4vyVlJvttau6HvtinJHv3jPZJc1J97Q9//TssJbNoKwbTW/jPJEcu5CQAs1wNefPRah7CFL/z5i9Y6BAAAYCXMvkLwstbaAQvevuqO6ar+9k3y3STvT3LoPF3nKgDni3irqwOTRRKCVbX3tBdprV24nJsDAAAAwGprWRdDhh+Z5OuttUuTpKo+kG6E7i5VdYu+CnDPdKN0k65acK8km6rqFknukOTy5dx4sQrB8zN9lnGn5dwcAAAAAEbqwiQPq6rbJrkm3RR9ZyY5Lcnjk5yQbrTuh/r+J/X7n+yP//Ny5g9MFk8IPnjw+F5J/jzJX/U3TZID060y/AfLuTEAAAAArJk1rhBsrX2qqk5M8pkkNyT5bJJjk/y/JCdU1R/3bW/rT3lbkr+tqo3pKgOftNx7L5gQbK2dNfe4ql6f5EWttRMHXf65qr6S5IVJjl9uAAAAAAAwRq21o5IcNdF8XpKHzNP3B0mesBL3nXZRkYckOXue9rOT/PRKBAIAAAAAq2bt5xBcMxum7Hd+kufO0/7cJBesWDQAAAAAwExNWyH4oiQfrKpHJzmjb3tokn2S/OoM4gIAAACA2ah1scrwmpmqQrC19uF0C4t8IMnt0y1r/IEk92qtnTK78AAAAACAlTRthWBaaxcledkMYwEAAACA1THiCsEFE4JVtX+Sz7XWftg/XlBr7TMrHhkAAAAAsOIWqxA8M8ldk1zSP26ZP3fakuy08qEBAAAAACttsYTgvkkuHTwGAAAAALZzCyYEW2sXzPcYAAAAALZ3VhleQlU9v6qeMk/7U6rquSsfFgAAAAAwC9OuMvw7SZ4xT/v5Sd6R5C0rFdB6cJ+jjl7rEG7y5f/1orUOAQAAAGDHo0JwSXsmmW/Y8Kb+GAAAAACwHZg2IfitJD85T/v+SS5buXAAAAAAYBXUjLd1bNohw+9J8qaquirJ6X3bwUnekOTdM4gLAAAAAJiBaROCRyXZN8lHktzYt21I8v4kfziDuAAAAABgNmrcqwxPlRBsrV2f5PCqemWSn+qbP9Na2zizyAAAAACAFTdthWCSpLV2bpJzZxQLAAAAAKwOFYJLq6onJjkkyZ0zsRhJa+1xKxwXAAAAADADUyUEq+q1SX4nyWlJLk7SZhkUAAAAAMySOQSX9tQkh7fWTpxlMAAAAADAbE2bENyQ5HOzDAQAAAAAVs2IKwQ3LN0lSXJskqfMMhAAAAAAYPamrRDcJcmTq+pRSc5Ocv3wYGvtBSsdGAAAAADMTI13iYxpE4L3y+Yhw/eZODbeVw8AAAAAtjNTJQRbawfPOhAAAAAAWA2trDIMAAAAAOMiITi/qnrTNBcxhyAAAAAAbB+WqhD8iSmuYQ5BAAAAALYvKgTnZ+5AAAAAANixmEMQAAAAgNEZ86IiG9Y6AAAAAABg9agQBAAAAGB8VAgCAAAAAGOwYEKwqt5eVbfrHz+8qlQTAgAAALD9q1XY1rHFKgSfkuRH+senJdl19uEAAAAAALO0WNXf+Ul+u6o+mi6veWBVXTFfx9bax2cQGwAAAADMRrW1jmDNLJYQ/P0kb03y0iQtyQcX6NeS7LTCcQEAAAAAM7BgQrC19qEkH6qqXZJcnuT+SS5ZrcAAAAAAYFbaOp/nb5aWXCiktfbdqjo4ybmttRtWISYAAAAAYEamWjm4tfYvVbVzVT01yf3SDRP+YpL3tNaunWWAAAAAAMDKWWyV4ZtU1f2SfDXJ65M8NMnDkhyd5KtVdd/ZhQcAAAAArKSpEoJJ3pjkc0n2bq39fGvt55PsneTzSd4wq+AAAAAAYCZqxts6NtWQ4SQ/m+TBrbUr5xpaa1dW1cuTnDGTyAAAAACAFTdtheAPkuwyT/sd+mPbpKp2qaoTq+rLVfWlqjqwqnatqlOr6tz+5x37vlVVb6qqjVV1dlXtv633BwAAAGBcWs12W8+mTQj+Y5K3VtXPVtVO/fZzSf46yUkrEMcbk3y4tXafJA9K8qUkL0nysdbafkk+1u8nyaFJ9uu3ZyU5ZgXuDwAAAACjMG1C8IVJzk3yiXQVgT9I8i/pFhr5nW0JoKpun+ThSd6WJK2161pr301yWJJ39t3emeRX+seHJXlX65yRZJequtu2xAAAAADAiFSSarPd1rGp5hCcS9BV1T2T3Dfdy/bF1trGFYjhHkkuTfKOqnpQkrPSJSDv0lr7Zn//b1bVnfv+eyS5aHD+pr7tm8OLVtWz0lUQZu+9916BMAEAAABg+zdthWCSpLW2sbX2j621k1YoGZh0Scn9kxzTWvupJFdl8/Dg+cw3CvtmadfW2rGttQNaawfsvvvuKxMpAAAAADuGEa8yvFUJwRnZlGRTa+1T/f6J6RKE354bCtz/vGTQf6/B+XsmuXiVYgUAAACA7dqaJwRba99KclFV3btvOiTJF9MtVnJE33ZEkg/1j09K8tR+teGHJfne3NBiAAAAAJjKiCsEp5pDcBX8dpJ3V9WtkpyX5GnpkpXvq6pnJLkwyRP6vicn+eUkG5Nc3fcFAAAAAKawZEKwqm6RbnGOf2itzWRobmvtc0kOmOfQIfP0bUmeN4s4AAAAABiJdV7FN0tLDhlurd2Q5LVJbjn7cAAAAABg1lpSM97WsWnnEDwj3UIfAAAAAMB2bNo5BN+a5C+q6seSnJXkquHB1tpnVjowAAAAAJiJ7WDhj1maNiH4nv7n6+c51pLstDLhAAAAAACzNG1CcN+ZRgEAAAAAq6ipEFxca+2CWQcCAAAAAMzetIuKpKoOrar/W1VfrKq9+rbfrKpDZhceAAAAAMyAVYYXV1W/keR9Sc5NN3z4lv2hnZK8eDahAQAAAAArbdoKwRcneWZr7UVJbhi0n5HkJ1c8KgAAAACYpZrxto5NmxDcL8kn52n/fpLbr1w4AAAAAMAsTbvK8MVJ7pVkcnGRhyf52opGBAAAAAAzVuu8im+Wpq0QPDbJm6rqZ/v9varqiCR/nuSYmUQGAAAAAKy4qSoEW2t/XlV3SHJqklsnOS3JtUle11p78wzjAwAAAICVVVn3KwHP0rRDhtNae3lVvTrJ/dJVFn6xtfb9mUUGAAAAAKy4qROCvZbkB/3jG1c4FgAAAABYHeYQXFxV7VxVb0hyeZLPJzk7yeVV9caquvUsAwQAAAAAVs60FYLHJPnFJL+Z5JN924FJ/jTJ7ZI8feVDAwAAAIAZGXGF4LQJwSck+dXW2qmDtvOq6pIkfx8JQQAAAADYLkybELwqyTfmaf9GkmtWLhwAAAAAWA3jXWV4qjkEk/yfJEdV1W3mGvrHf9gfAwAAAAC2AwtWCFbVSRNNByX5RlWd3e//RH/+j8wmNAAAAACYEXMIzus7E/t/P7H/9RWOhWXa5x1/vtYhbOH8p714rUMAAAAAYAELJgRba09bzUAAAAAAYFVUUmUOQQAAAABgBKZaZbiq7pjkVUkOTnLnTCQSW2t3XvHIAAAAAGBWzCG4pHcluX+Sdyb5dsa8LjMAAAAAbMemTQgelOQRrbXPzDAWAAAAAFgFzRyCU/jaVvQFAAAAANapaZN8L0zyp1X1oKraaZYBAQAAAMDM1Yy3dWzaIcMbk9wmyWeSpGrLZ9VakyQEAAAAYLtR6zxpN0vTJgSPT3KHJC+IRUUAAAAAYLs1bULwgCQPaa19YZbBAAAAAMDMVRKLiizpi0luP8tAAAAAAIDZm7ZC8BVJXl9Vr0jyn0muHx5srV2+0oEBAAAAwCxUkhpxheC0CcGT+58fzZbzB1a/b1ERAAAAANgOTJsQPHimUQAAAADAKrLK8BJaa/8y60AAAAAAgNmbKiFYVfsvdry19pmVCQcAAAAAZs8cgks7M91cgcNiyuGrZg5BAAAAANgOTJsQ3Hdi/5ZJfirJy5O8dEUjAgAAAIBZM4fg4lprF8zTvLGqvpfkqCSnrGhUAMzEj5/wJ2sdwha+9qSXrXUIAAAAozNtheBCvp7kJ1ciEAAAAABYFTXuOQQ3TNOpqnad2O5UVQ9I8qdJvjLbEAEAAABgx1NVu1TViVX15ar6UlUd2OfeTq2qc/ufd+z7VlW9qao2VtXZSy0CvJipEoJJLkty6WC7JMnZSR6c5LnLvTkAAAAArIWa8TalNyb5cGvtPkkelORLSV6S5GOttf2SfKzfT5JDk+zXb89KcswynnaS6YcMHzyx/8N0icGNrbUblntzAAAAABijqrp9kocnOTJJWmvXJbmuqg5LclDf7Z1JTk/yB0kOS/Ku1lpLckZfXXi31to3t/be0y4q8i9be2EAAAAAWI8qbT3MIXiPdAV376iqByU5K8kLk9xlLsnXWvtmVd25779HkosG52/q21Y2IVhVu05zkdba5Vt7YwAAAADYge1WVWcO9o9trR072L9Fkv2T/HZr7VNV9cZsHh48n/lGIi8rq7lUheBlU1y4TXEdAAAAAFg3VqFC8LLW2gGLHN+UZFNr7VP9/onpEoLfnhsKXFV3S7eWx1z/vQbn75nk4uUEtlQib3LuwKFHpytjNIcgAAAAAGyF1tq3quqiqrp3a+0rSQ5J8sV+OyLJn/U/P9SfclKS51fVCUkemuR7y5k/MFkiITjf3IH9ksavSTfp4V8n+d/LuTEAAAAArJXaiqWAZ+i3k7y7qm6V5LwkT0uyIcn7quoZSS5M8oS+78lJfjnJxiRX932XZeqhvlW1b5JX90F8IMn9WmtfW+6NAQAAAGDMWmufSzLfsOJD5unbkjxvJe67ZEKwqu6U5JVJnpPk35Ic2Fo7c/GzAAAAAGD92rD2qwyvmQ2LHayqlyX5WpJHJDmstfYLkoEAAAAAsP1aqkLwj5Nck24Vk+dW1XPn69Rae9xKBwYAAAAAs1C1KqsMr1tLJQTflWS8rw4AAAAA7GCWWmX4yFWKAwAAAABWjQpBAAAAABiRqrWOYO0suqgIAAAAALBjUSEIAAAAwMi0bBjxkGEVggAAAAAwIioEAQAAABiVikVFYNU98B9fudYhbOHsx/7RWocAAAAAsCokBAEAAAAYnQ0Zb4WgOQQBAAAAYERUCAIAAAAwLpVUrXUQa0eFIAAAAACMiApBAAD+f3v3Hm5bWdcL/PtbC9EUkRRM4iKaZnLU1IOYeUM9JomKlSVaFh6USkxLfcRLPg893rBM4KRWKCaZBmamYqlpSHmLo6QHFcRQQLkoKBdFQUTe88cYCxaLtddae7P3HGM6Pp/nmc/ac8yx5vzOueea7xjv/L3vCwAwKZVkYcKrDKsQBAAAAIAJUSEIAAAAwOSUCkEAAAAAYApG0yFYVYtV9dmqen9//S5VdWpV/XdVnVhV2/fbb9lfP7u/fa8hcwMAAAAwb1oWattexmw0HYJJnpvkzGXXX5PkqNba3ZNcluSQfvshSS5rrd0tyVH9fgAAAADABoyiQ7Cqdk9yQJI399crySOTvKvf5fgkT+z/fWB/Pf3tj+r3BwAAAIANqWrb9DJmo+gQTHJ0khcmua6/fockl7fWru2vn59kt/7fuyX5epL0t1/R738jVXVoVX2mqj5zySWXbMvsAAAAADA3Bu8QrKrHJbm4tXba8s2r7No2cNsNG1o7trW2T2ttn1122WUrJAUAAADgx0FVJj2H4HZDB0jy4CRPqKrHJrlVkh3TVQzuVFXb9VWAuye5sN///CR7JDm/qrZLcrskl84+NgAAAADMn8ErBFtrL26t7d5a2yvJQUlObq39ZpKPJnlSv9vvJHlv/+/39dfT335ya23c3a4AAAAAjMpC2ja9jNngHYJrODzJ86rq7HRzBB7Xbz8uyR367c9L8qKB8gEAAADA3BnDkOHrtdZOSXJK/++vJtl3lX2uTvLrMw0GAAAAwI+Vsa8EvC2NuUIQAAAAANjKRlUhCAAAAADbWmX8KwFvSyoEAQAAAGBCVAgCAAAAMDkqBAEAAACASVAhCAAAAMCkVKZdIahDEDboESc/f+gI1/voI/986AgAAAAwv2raHYKGDAMAAADAhKgQBAAAAGByFqJCEAAAAACYABWCAAAAAExKpZlDEAAAAACYBhWCAAAAAEyOCkEAAAAAYBJUCAIAAAAwKRUVggAAAADARKgQBAAAAGByplwhqEMQ4GZ4/Mf+YOgI1zvpoX8xdAQAAADmgA5BAAAAACalkixkuhWC5hAEAAAAgAlRIQgAAADAtFSb9ByCKgQBAAAAYEJUCAIAAAAwOQt13dARBqNCEAAAAAAmRIUgAAAAAJNSiTkEAQAAAIBpUCEIAAAAwOQsZLoVgjoE4cfUkz/1e0NHuJETH/RXQ0cAAAAAokMQAAAAgImpNHMIAgAAAADToEIQAAAAgMlZqOuGjjAYFYIAAAAAMCEqBAEAAACYlKpkccJzCOoQBAAAAGByFjLdDkFDhgEAAABgQlQIAgAAADAxzaIiAAAAAMA0qBAEAAAAYFIqycKEFxVRIQgAAAAAE6JCEAAAAIDJWbTKMAAAAAAwBSoEAQAAAJiUssowAAAAADAVKgQBAAAAmByrDAMAAAAAk6BCEAAAAIBJqUoWVQgCAAAAAFOgQhAAAACAyVmIVYYBAAAAgAlQIQgAAADApFSaVYYBAAAAgGlQIQgAAADA5CyaQxAAAAAAmAIVggAAAABMSiXmEAQAAAAApkGFIDAaLzr9SUNHuJEj7/OuoSMAAACwTbQsljkEAQAAAIAJUCEIAAAAwKRUkoWYQxAAAAAAmAAVggAAAABMjjkEAQAAAIBJUCEIAAAAwKRUtSxMuEJQhyAAAAAAk7NoUREAAAAAYApUCAIAAAAwKZVMesiwCkEAAAAAmBAVggAAAABMTDOHIAAAAAAwe1W1WFWfrar399fvUlWnVtV/V9WJVbV9v/2W/fWz+9v32tLH1CEIAAAAwKQszSG4LS+b4blJzlx2/TVJjmqt3T3JZUkO6bcfkuSy1trdkhzV77dFBu8QrKo9quqjVXVmVX2xqp7bb799VX247w39cFX9ZL+9qur/9L2hp1fV/Yd9BgAAAACw+apq9yQHJHlzf72SPDLJu/pdjk/yxP7fB/bX09/+qH7/zTZ4h2CSa5M8v7V2zyS/kOSwqto7yYuS/FvfG/pv/fUk+eUkd+8vhyb5y9lHBgAAAGCeLea6bXpJsnNVfWbZ5dBVYhyd5IVJlkoK75Dk8tbatf3185Ps1v97tyRfT5L+9iv6/Tfb4IuKtNYuSnJR/+/vVtWZ6Z7ggUn263c7PskpSQ7vt/9ta60l+c+q2qmqdu3vBwAAAADG4FuttX02dWNVPS7Jxa2106pqv6XNq+zaNnDbZhm8Q3C5fjLE+yU5NclPLXXytdYuqqo79rtd3xvaW+opvVGHYN/remiS7Lnnnts0NwAAAADzo9KyUIOvMvzgJE+oqscmuVWSHdNVDO5UVdv1VYC7J7mw3//8JHskOb+qtktyuySXbskDj2HIcJKkqnZI8o9J/rC19p21dl1l203+B1trx7bW9mmt7bPLLrtsrZgAAAAAcLO11l7cWtu9tbZXkoOSnNxa+80kH03ypH6330ny3v7f7+uvp7/95H4E7WYbRYVgVd0iXWfg21tr7+43f3NpKHBV7Zrk4n77Um/okuU9pQAAAACwrsVs1krAs3R4khOq6hVJPpvkuH77cUneVlVnp6sMPGhLH2DwDsF+NZTjkpzZWnvdspuWej2PzE17Q59dVSckeWCSK8wfCAAAAMC8aq2dkm79jLTWvppk31X2uTrJr2+Nxxu8QzDdeOmnJfl8VX2u3/aSdB2B76yqQ5J8LTc84X9J8tgkZyf5fpKnzzYuAAAAAPOskizWaCsEt7nBOwRbax/P6vMCJsmjVtm/JTlsm4YCAAAAgB9Tg3cIAgAAAMBstSzcdI3ayRjNKsMAAAAAwLanQhAAAACASama9hyCKgQBAAAAYEJUCAIAAAAwOQtRIQgAAAAATIAKQQAAAAAmpdKyWFYZBgAAAAAmQIUgAAAAAJNSSRbNIQgAAAAATIEKQQAAAAAmZ6GmWyGoQxAAAACASak0Q4YBAAAAgGlQIQgAAADA5CxWGzrCYFQIAgAAAMCEqBAEAAAAYFIqyYI5BAEAAACAKVAhCAAAAMDEtCyWCkEAAAAAYAJUCAIAAAAwKZVk0RyCAAAAAMAUqBAEAAAAYHIW0oaOMBgVggAAAAAwISoEAQAAAJiUKqsMAwAAAAAToUIQAAAAgMlZNIcgAAAAADAFKgQBAAAAmJRKshBzCAIAAAAAE6BCEAAAAICJscowAAAAADARKgQBAAAAmJSKVYYBAAAAgIlQIQgAAADA5CyUCkEAAAAAYAJUCAIAAAAwKZWWxVhlGAAAAACYABWCAAAAAEyKVYYBAAAAgMlQIQgAAADA5Ex5lWEdggAAAABMiiHDAAAAAMBkqBAEAAAAYHJUCAIAAAAAk6BCEAAAAIBJqSQLNXSK4agQBAAAAIAJUSEIAAAAwMQ0cwgCAAAAANOgQhAAAACASalMu0puys8dAAAAACZHhSAAAAAA01LJolWGAQAAAIApUCEIAAAAwKRUKouZbomgCkEAAAAAmBAVggAAAABMzpSr5Kb83AEAAABgclQIAgAAADAplWSxzCEIAAAAAEyACkEAAAAAJmfBKsMAAAAAwBSoEAQAAABgUirJogpBAAAAAGAKVAgCAAAAMDnmEAQAAAAAJkGFIAAAAACTUqkslgpBAAAAAGACVAgCAAAAMDkLE66Tm+4zBwAAAIAJUiEIAAAAwKRUpr3KsA5BAAAAACamsljTHTg7t8+8qvavqrOq6uyqetHQeQAAAABgHsxlhWBVLSZ5Q5JHJzk/yaer6n2ttTOGTQYAAADA2HVDhue2pwRzFwAAE7lJREFUTu5mm9dnvm+Ss1trX22tXZPkhCQHDpwJAAAAAEavWmtDZ9hsVfWkJPu31p7RX39akge21p69bJ9DkxzaX71HkrNmHHPnJN+a8WPeXDLPxrxlnre8icyzMG95E5lnYd7yJjLPwrzlTWSehXnLm8g8C/OWN5F5FuYtbzLezHdure0ydIixqKoPpvu/2pa+1Vrbfxs/xhaZyyHDyarLwNyoZ7O1dmySY2cT56aq6jOttX2GevwtIfNszFvmecubyDwL85Y3kXkW5i1vIvMszFveROZZmLe8icyzMG95E5lnYd7yJvOZeYrG2lE3K/M6ZPj8JHssu757kgsHygIAAAAAc2NeOwQ/neTuVXWXqto+yUFJ3jdwJgAAAAAYvbkcMtxau7aqnp3kQ0kWk7yltfbFgWOtNNhw5ZtB5tmYt8zzljeReRbmLW8i8yzMW95E5lmYt7yJzLMwb3kTmWdh3vImMs/CvOVN5jMzEzOXi4oAAAAAAFtmXocMAwAAAABbQIcgAAAAAEyIDkEAAAAAmBAdgttAVT2rqs6pqqur6rSqeujQmTalqh5WVe+rqguqqlXVwUNnWktVvbiqPl1V36mqS6rqpKq619C51lJVh1XV6X3m71TVp6rqgKFzbVRVvaR/b7x+6CybUlVH9BmXX74xdK71VNWuVXV8/16+uqrOqKqHD51rU6rq3FVe51ZV/zx0ttVU1WJVvXzZ5/E5VfWKqhr1glpVdduqOrqqzquqq6rqk1X1gKFzLVmv3ajOEVV1YZ//lKr6HwPFXcq0XuZfraoP9X+Lrar2Gybp9Xk2mbeqblFVr+nble9V1UVV9Y6q2nPAyBt5jV9eVV/qM19WVf9WVb84UNylTBs+BqqqY/t9XjDDiCszrPcav3WVz+f/HCjuUqZ1X+Oq+tmqendVXV5V36+q/6qqew4QdynPeq/zau1gq6o3jDTvDlX1F1V1fv+ZfFZV/dEQWZdlWi/zT/Xv5wv798QHq+ruA8Xd0PnH2Nq+DWYeTdu3Xt4xtn0bfI1H1/bBcjoEt7KqenKSY5K8Ksn9knwyyQeGPlBfww5JvpDkuUmuGjjLRuyX5I1JfjHJI5Ncm+QjVXX7IUOt4/wkhye5f5J9kpyc5D1VdZ9BU21AVf1CkmcmOX3oLBtwVpJdl13uPWyctVXVTkk+kaSSHJDknkn+IMnFQ+ZaxwNy49f4/klakncOGWoNhyc5LMlzkvxcus+5w5K8eMhQG/DmJI9J8jvp3sf/mu5zbrdBU91gvXbjhUmen+79/IB07+kPV9VtZ5bwptbLfJt07fXzZhlqDWvlvXW6v71X9j8PTLJHkg/WsJ3d673GZ6X7+7t3kockOSdd5p+aWcKb2tAxUFU9Kd17+cIZ5dqUjeT9SG78Of3Y2UTbpDUzV9Vd0rWF56Q7rrtXkj9OcuUMM6603uu864rL4/vtQ7WF6+V9XbrjjKelO9Z4ZZIjq+ppM0t4U5vMXFWV5D1J7p7kienOp85L1w7eZsY5l+yX9c8/xtb27Zf1M4+p7dsva+cdY9u3X9Z/jcfY9sENWmsuW/GS5NQkb1qx7b+TvHrobBvIfmWSg4fOsZmZd0jyoySPHzrLZua+NMnvDp1jnYy3S/KVdA3cKUleP3SmNbIekeQLQ+fYzMyvSvKJoXPczOfw0iSXJ7n10Fk2ke/9SY5fse34JO8fOtsamX8i3QHlgSu2n5bkFUPnWyXvjdqNdB3cFyV56Yrn9N2xfOat1dYl2TldJ/d+Q+fcSN5l++zd57730Hk3I/OOfebHDJ13rcxJ7pzkgnQdKecmecHQWTeVN8lbR/75tlrmdyR5+9DZNvd9sWKfNyU5a+isa7zGX0jyJyu2/ftYjutWaUd+tv9s+Pll2xbSdbA9Y+i8fZ4bnX/MSdu3yXOmkbZ9657jjbDt20jmUbV9Li4qBLeiqto+yf9MV82x3L+m++aAre+26Q4SLhs6yEZUN4TxoHQNxieHzrOOY5O8q7V28tBBNuiu/dCTc6rqhKq669CB1vHEJKdW1YlVdXFVfa6qnt1/Mz56fc5Dkvxda+37Q+fZhI8neURV/VySVNXe6Tq4/2XQVGvbLslikqtXbL8q3TfLY3eXJHfKsnawtXZVkv+IdnBb2rH/OS9t4fZJDk3ynSSfGzjOJvVVJ3+frjP+zKHzbNBD+jbly1X1pqq649CBNqWqFtJV153RDwm9pB9+9+Shs21UVe2Q5KB0nYJj9fEkj6+qPZKkH6543yQfHDTVpt2y/3l9O9hauy7JDzKednDl+cc8tH1zdc6UjeUdW9u3ZuZ5afuYFh2CW9fO6U7kvrli+zfTNRJsfcek+0D91NBB1lJV966qK9MdzPxVkl9prX1+4FibVFXPTHK3JC8bOssGnZrk4CS/nG6I852SfLKq7jBkqHXcNcmzknw13fDQY5IcmW5YwTx4dLoD4DcPHWQNr0nytnQnmz9M8sV0FYNvHDbWprXWvpvu8+yPq2q3/kuE30ryoHRD08Zuqa3TDs5If4Lx50lOaq2dP3SetVTV4/q28Ookf5Tk0a21le+VMfmTJN9urf3l0EE26INJfjvJo9INXdw3yclVdcs1f2s4d0z3BelL0nWkPDpdB+zbq+pxQwbbDE9N14F1/NBB1vCcdMfKX+vbwn9Pcnhr7f3DxtqkL6UbIvyqqrp9VW1fVYcn2T3jaQdXnn/MQ9s3F+dMy6yZd6Rt36qZ57DtY0JGPbH6HGsrrtcq27iZqup16b4pfEhr7UdD51nHWem+jd0pya8lOb6q9mutfWHYWDdVVfdIN5z1oa21a4bOsxGttQ8sv17dJOpfTTcH2+sGCbW+hSSfaa0tzWf32eomzD4syWgXcFnmmUk+3Vob8zecT053cvzUdJ2B901yTFWd01o7btBka3takrekm3/0R0n+K91J8v2HDLWZtIMz0Few/V26tuUJA8fZiI+m+zvcOd1nyDur6kGttYuGjXVT1S3wdHC6vHOhtXbCsqufr6rT0nWsHJDk3cOkWtNSYcJ7W2tLbfXnqmqfdG3hWDuslntmkve01i4ZOsga/iDJg9N9RpyX5GFJXltV57bWRlcl2Fr7YVX9WpLjknw7XTv4kSQfWPMXZ2Sd849Rtn1zds60bt4xtn3rZJ6bto/pUSG4dX0rXaO18pugO+am3xhxM1TVUUmekuSRrbWvDp1nPa21a1prZ7fWljqAPpfuG6IxelC6BusLVXVtVV2b5OFJntVfH2ulwfVaa1em6wAabEW6DbgoyRkrtp2ZZKwLEF2vH4J2YMY9RCpJ/izJa1trJ7TWPt9ae1u6DuJRLyrSWvtKa+3h6Spn9mit7ZvkFukmoh67pdW9tYPb2LLhrPdJ8qjW2rcHjrSu1tr3+rbwP1trhyT5YZJnDJ1rEx6RrhrpomVt4Z2TvKaqxlKNsqbW2oXpvlgYa1v4rXRzps5rW3jfdIvFjbYtrKqfSPLqJC9srZ3UWju9tfb6JCckGWzF7PW01k5rrS19kb5ra23/JHfIwO3gGucfo2375u2cab28Y2z71ss8Z20fE6NDcCvqq6lOSzfkYblHZ/zzxc2NqjomXcXPI1trXxo6zxZayA1zpIzNe9KthHXfZZfPpDt4vG+S0VcNVtWt0q0qO+Zv3j6R5B4rtv1sum/vx+7gdMPfT1hnv6HdOt2XNMv9KHPS9vUHkBdV1U+mG1b+3qEzbcA56U6Mrm8H+7/Hh0Y7uNVU1S2SnJjuhOgRrbVvrPMrYzXmtvCN6V7f5W3hhUmOSjckd/Sqaucku2WkbWF/3PzpzG9beGi6hWY+MnCOtdyiv8xlW9hau6K1dkk/gmKfDNgOrnP+Mcq2b97OmdbLO8a2bwtf4zG3fUyMIcNb3+uSvK2q/m+6E/7fS/LT6eaNG51+MuS79VcXkuzZf+N5aWvta8MlW11VvSHdcLonJrmsqpa+ibuyrwobnao6Msk/J/l6uslmn5pumfoDBoy1Sa21y9OtHHu9qvpeuvfE6IY4J0lVvTbJSUm+lu7b2JcluU3GPafPUenmOXxpuoOb+6Wb5+clg6ZaR7+YyDOSnNDPdzdmJyV5UVWdk65i9H5JnpfkbwdNtY6qeky6z+Mvpft8/rN00w78zZC5lqzXblTV0UleWlVfSvLlJH+cbhXJdwwSOBvKfPt0FUk79fvcraouT/KNIU441sqbrlPqH5I8IN2CDG1ZW3hFP5H9zK2T+fIkL0z3N3lRkl3SDQndPck7Z5+2s4FjoItX7P/DdO+Js2ab9PrHX+s1vjTJEUn+Md1rvFe6yrCLk/zTrLMu2cBr/Kfphs99LMnJ6SozD0p3nDeIjRwbV9Wtk/xmkj9trQ06JHQDn2//nuTIfg6z89KN+vjtdH+Tg9hA5l9PV0F6XrovqY9JNzR75cKNs8q75vlHa62Nre3byDnTmNq+9fL2lYGjavs2kHnHjLDtgxvZVssXT/mSbqGAc9NV0JyW5GFDZ1oj637p5rZYeXnr0Nk2kXe1rC3JEUNnWyPzW9Md0Pwg3YH5RzJnS80nOSXJ64fOsUa+E9KdJF+T5IJ0J0R7D51rA7kPSPL/0k0y/OV0HYI1dK51Mj+i/5vbd+gsG8h62yRH939/V6WbV/JVSW41dLZ1cv9Gkq/0nxkXpZtT8nZD51qWb812I92cSUf02a9ON4H9vUae+eAxtS1r5U3X0bOptvDgMb7G6ap1/6n/nP5B//O9SR445vfFKvufm+QFY8yb5CeSfCjdccY1/efeW9NNOzDq17j/+/ty/zl9epKnzEHmp6cb7vzTQ2bdSN50w1j/Jt3x0VXpvmx6QQY83thA5uek+yJ96b388iTbD5h33fOPjKzt22Dmg9fbZyx5M8K2bwOZR9n2ubgsv1RrLQAAAADANIx+7ggAAAAAYOvRIQgAAAAAE6JDEAAAAAAmRIcgAAAAAEyIDkEAAAAAmBAdggAAAAAwIToEAQDWUVUHV9WV2+i+31pV798W9w0AAKvRIQgAjMamOseqap+qalW11+xTJUlOTHLXm3MHVbVX/xz22UqZ1nu8I/rHa1V1bVVdWlWfrKoXV9UOs8gAAMA46RAEAOhV1farbW+tXdVau3jWebaCs5LsmmSPJA9NcnyS303y2aq605DBAAAYjg5BAGAuVdXDqurUqrq6qr5ZVUct79CrqlOq6vUrfudGFYj9Pn9ZVa+tqkuSfGITj3WjIcN99d0XquqgqvpKVX23qt5TVTuvEfmc/uen+6q9U1Y8xnOr6oKquqyq/qaqbr3stqqqF/aPdVVVfb6qfmsDL9O1rbVvtNYuaq19sbX210kelOT2SV6z7P73r6qP9Y99aVV9qKruuez2k1d5LXesqu9X1a9uIAcAACOiQxAAmDtVtVuSDyT5bJL7JTkkyVOSvHoL7u63klS6Crrf3ozf2yvJk5P8SpJf6nO8co399+1/7p+uam95R9pDk9wryf9adp/PXXb7K9I9x8OS7J3uef51VR2wGXmTJK21i5K8PckTq2rpWPA2SY7uM+6X5IokJy3rYH1TkqdW1S2X3dVTklyZ5KTNzQAAwLC2GzoAAMAK+6+ygMfKLzGfleSiJM9qrV2X5MyqelG6TrKXtda+vxmPd05r7flbkHO7JAe31q5Ikqo6NsnT19j/kv7nt1tr31hx23eS/H5r7dp0z+Ufkjwqyaur6jZJnpfkl1prH1vKXFX7pusg/OctyH5Gkh2T7Jzk4tbaPy6/saqe3mfaN8nHk7w7yV+k66g8od/tfyf529baD7fg8QEAGJAKQQBgbP4jyX1XXJ66Yp97JvlU3xm45ONJtk9yt818vNO2MOd5S52BvQuT3HEL7+uMvjNwtfvaO8mtknywqq5cuiT5/SQ/s4WPV/3PliRV9TNV9Y5+SPJ3knwz3XHinknSWvtBkrel6wRMVe2drrPwLVv4+AAADEiFIAAwNt9vrZ29fENV7bRin0rfmbWKpe3X5YaOryW3WGX/7212ws7KyriWLf+yda37Wvr5+CRfW+f3NmrvdBWA3+6vn5TkgnQLjlyQ5Np0VYTLF1l5c5LTq2rPdMOXP9VaO2MLHx8AgAHpEAQA5tEZSX6jqhaWVQk+JMk1Sb7SX78k3Vx9y/18knNnkvCmrul/Lm7m752R5AdJ7txaO/nmhqiqXdNVXL67tXZdVd0hXcXlYa21j/b73D8rjhNba1+sqlOTPDPdvIsvvblZAAAYhg5BAGAevTHJHyZ5Y1Udk+SuSY5M8vpl8weenOToqnpCkrPSVb/tkeE6BC9OclWSx1TVuUmuXjHkeFWtte9W1WuTvLaqKt2Q6h2S/EKS61prx67x69tV1Z3SVUrePsmDk7wkyaVJXtzvc1mSbyV5ZlV9PcluSf4sXZXgSm9K8lfpKhNPXC87AADjZA5BAGDutNYuSPLL6Vb2/Vy6uez+Pl1n15K3LLt8It2KuP8026Q36OcIfE6SZ6SbI/C9m/HrL0tyRJIXJPlikg8n+bUk56zze/dIt/jK+enmWHx6kmOT3H9pYZO+wvLJSe6T5AtJ3tA/3g9Wub8T01U6vrO19t3NyA8AwIhUa5uafgcAAG5QVT+dbh7Dh7fWPjF0HgAAtowOQQAA1lRVt0g3H+Mrk/xca+0BA0cCAOBmMGQYAID1PDjJeUkemG5REQAA5pgKQQAAAACYEBWCAAAAADAhOgQBAAAAYEJ0CAIAAADAhOgQBAAAAIAJ0SEIAAAAABPy/wHGD12xlia0zgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Create x axis\n",
    "x_axis = np.arange(len(crime_hour_df))\n",
    "\n",
    "#Figure Size\n",
    "plt.figure(figsize=(20,8))\n",
    "\n",
    "#Colourmap legend (reverse colour_map: viridis_r)\n",
    "plot = plt.scatter(crime_hour_df.CCN, crime_hour_df.CCN, c = crime_hour_df.CCN, cmap = 'viridis_r')\n",
    "plt.clf()\n",
    "plt.colorbar(plot)\n",
    "\n",
    "#Colourmap (reverse colour map:)\n",
    "colors = cm.viridis_r(crime_hour_df.CCN / float(max(crime_hour_df.CCN)))\n",
    "\n",
    "tick_locations = [value+0.4 for value in x_axis]\n",
    "\n",
    "#Plot Graph\n",
    "plt.bar(x_axis, crime_hour_df.CCN, color=colors, alpha=1.0, align=\"edge\")\n",
    "plt.xticks(tick_locations, crime_hour_df.index, rotation=0, fontsize=14)\n",
    "plt.ylabel(\"Number of Incidents\", fontsize=14)\n",
    "plt.xlabel(\"Hour in the Day\", fontsize=14)\n",
    "plt.title(\"Incidence of Crime by Time of Day in 2017\", fontsize=20, fontweight=\"bold\")\n",
    "plt.xlim(-0.25, len(crime_hour_df)+0.25)\n",
    "plt.tight_layout()\n",
    "\n",
    "#Export Graph to File\n",
    "plt.savefig(\"Images/Incidence_of_Crime_by_Hour_2017.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Incidence of Crime by Weekday (2017): ColorMap Bar Chart\n",
    "\n",
    "- week starts on Monday, which is denoted by 0 and ends on Sunday which is denoted by 6\n",
    "\n",
    "https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DatetimeIndex.dayofweek.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "weekday = ['Monday', 'Tuesday', 'Wednesday','Thursday',\n",
    "         'Friday', 'Saturday', 'Sunday']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Groupby 'Start_Date' by Weekday\n",
    "crime_weekday_df = df_2017.groupby(df_2017[\"Start_Date\"].dt.dayofweek)[\"CCN\"].count()\n",
    "crime_weekday_df = pd.DataFrame(crime_weekday_df)\n",
    "#Create Months Column\n",
    "crime_weekday_df[\"Weekday\"] = weekday\n",
    "#Set Months as new Index\n",
    "crime_weekday_df.set_index('Weekday', inplace=True)\n",
    "crime_weekday_df.sort_values('CCN', ascending=False, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xjVX1vsFKbUbNblX1i1n6MZtvseaQ5LcneXY3oyrJVkxns53C9FDUu9LMa3fSkP79Ec2KxTMGBavqN0mWMz2E+KlJNpsaQpxkT9ZcbOB/5/JwM9z310k+TfO9QBN4/HSSFwwGBpPcHXhxVX1wPu49Iacw/T0G+HVV/edgpSTbA/dvh7DP1YuSdIcQ7zdwfnD467/RrAi8HvAEpoOfBRyxFvc/memg4GZMZwHeGuyrqkvbYNEDmP75Y7Bea23e5d8k+QHTQ4i3BD5aA4vUJNmAJjPyuyOe5UKaIOR/0WTr/RHw9SR7db6bH9MsPjIV3HpukoM6Q4gHP/+ubiboSVV1dtuvOzI9bHmU/wJW0ATaNqFZZGnKXIZ8015nyr2TLKuqWwYrJXkqzeIpG7dF5wBPraqZMpe/xHRQcMckf1RVP2qPnzNQ95g59ns2r2LNoOO/jNFmm4HjFUNrSZKkkQwKSpImpqquTvIRpld1vQ/w4yRfAC5pj59KkyHypVku9ymaP6bv2B7/R5LdaDJnnsOIrJmqOjvJ8TSrtAK8tV359Ds0K4Pem2butj8Bvs1t/2P3eOAHTAflng78MMlxNKuFPoAmgLklTebSJ2hWMp3KUjo+yTE0GVGhCeDtTpP99A5+P8g5zHtpAgLQrEx7WpLP0ay++9JOvRtpViSeL39LMy/dVJbRPsCF7fP8vL3/Q2gCWlMr0y5Vx9FkhP1Re3xYkqfTfLeraQISu9I8zyeY29DdKY8HTk5yEvBwmsVNpiyvqu7qqlTVyiTH0gTywvRQy2/OEuwZZTColxHlJ9O8t93hmTfw+0HLtX2X302zcAs0Qalz2na/ogkuPohmkZa70mQqDs3KrKpvtitBH0kTOH0Y8LUkT6iqa6tqdZL/BF7dNrk/cGqSrwB/QJP9N8r5TL8LL2/nO7yGZkXhP5yh3VRW5r8yPb/gRu2/19CsljwX3VWj70wzB+oaKxC3qzl/nulsxBuAo4A/n15k+laHVtXUqsIfovldfI/2+IQ2O3Uwi+/brDkkmiR/DUytZN5deR3gzUmm7vH1qvr6QNuNmP5OoHmfTx/s6BC7dPZ/WlW/HKONJEnqMCgoSZq0N9BMvv+s9ngz4K/nepGqWpXkb4DDaAIMGwAvb0/fRJPxNmrRjBfRBOumFit5XLvNu6q6Jck+7f2m/jjekekMnMH617RZPcfSBAo3ZM2himvTh88m+WPgTW3RdsAbB6rdALywquYtu6aqLkuyB00Ad+rz3YI1AwrrhKq6uf0evwbsQBNkehqzZ4XNxUk0q0EPLk5zDfAXI9p8kOnsvilzzTabchbNkN/BgPpgUPB/aFbb7fpuVXXnalzrd7mqjkzyQJqgf2hW537NzK1GXuvoJPszPU/frsB/Jdm7qn5Ds8Lw45gO8O3UbjD9fQzzTqYXr+kGsa6lDbjN0rX/pMlk7M7L95m2T2Orqp93MjcBHslAUJDm2brzY94ReOuIS36R5n2byvZ9Ns33tzHN/zB5y0D984HnDclYfi5rzjfZ9fLO/nXA1wfO/wVrDt0eJ0sQ1vx9P9OQc0mSNIILjUiSJqqqbqqqZ9NkBB5FM/fXjTTzof0U+CRw9pjXOhz4U5oA4A00f8weT7Mi6TdmaHcFzR/PL6XJ6Po1zdDLq2j+oP4izR+mz57zAw6/30U02YevpJkj7XKa7LKraebi+iBN1uBU/dNoAoj/CJza1ltNkyl1Jk0g9Gk0GVXj9uHNNMGmzwK/oAmc3kDzR/2HgQdX1dG34TFH3XdVVe1FM4faEcB5NN/TTTTf/Sk0wZ8nzfe951tVXUgTMHoNTbbcFTTfy+U0AbVP0QS91iqARRNoegFNxt0NNN/7McCuVbV8RJ++BXTPXcHsWbZDtYGdwfnlflVVFwyUnTyk+beGlK31u1xV76DJ/DqCZkXoG9rtZzRBybcCD+3MdTjTcx0B/F2n6NHAl5Ns1GbFPZoma28VzXu5guadfPLgtTrX/ALwTOCMts1VNMGzR9BklM7Wp2v5/SHeaxvMPbSzPzis9zZph3s/iOZ3xAqa39XX0WTI/gPw8PnMyEuyHtPzZAKcXlUjf5d32t2JZqXqKYfNV58kSeqTzDI1kSRJkpaQdu7GqaGuH6yq1y5mfzSeJC9nOqC3vKoeOlP9Ga6zKU2gf2PgZmCbqrpkfnq5bkjyPKanSDilqh69mP2RJGldZaagJEnSEpfkAUn2SvI6prPDbqbJ6NISlWTLJHsmeSFrLjByyKg2s6mqq2jmDYVmWPvaZqquy7qB8DeNrCVJkmZkpqAkSdISl+Tj/P7quO+tqjcMqa4lIslLaFdJ7zgVeFRV3Xwbrnsn4Cc087VeA9xnLVfAXuckeTxwYnt4TFU9czH7I0nSusyFRiRJktYdN9HMs3cY8IFF7ovGVzRzGH4JeOttCQgCtAuUbD0fHVvXtHMO/t4yypIkae7MFJQkSZIkSZJ6pheZgptttlltt912i90NSZIkSZKkRXHGGWdcXlWbL3Y/lorNsmXdxE0Tv8+1XHVCVe098RuthV4EBbfbbjtOP/30xe6GJEmSJEnSokjy88Xuw1JyEzexa/aa+H2+UV/cbOI3WUuuPixJkiRJkiT1TC8yBSVJkiRJkqQ1ZAFy5ZbwUh5mCkqSJEmSJEk9Y6agJEmSJEmSeifLMvmb3DL5W6wtMwUlSZIkSZKknjFTUJIkSZIkSf2SLMycgktYv59ekiRJkiRJ6qEFCwom2SjJ95P8MMk5Sd7Rlm+f5HtJLkjy+SR3aMs3bI9XtOe361zrTW35+UmetFDPIEmSJEmSpHVfaOYUnPS2lC1kpuCNwOOq6iHATsDeSR4BvBv4QFXtAFwF/GVb/y+Bq6rqfsAH2nok2RHYF3gQsDfwkSTrLeBzSJIkSZIkSeu0BQsKVuO69nCDdivgccAX2/JPAE9v9/dpj2nP75UkbfnnqurGqvoZsALYZQEeQZIkSZIkSbcXWTb5bQlb0N4lWS/JcuBS4ETgp8DVVbW6rXIxsFW7vxVwEUB7/v+Ae3TLh7Tp3mv/JKcnOf2yyy6bxONIkiRJkiRJ66QFDQpW1c1VtROwNU123wOHVWv/HTbwumYoH7zXoVW1c1XtvPnmm69tlyVJkiRJknR7E2BZJr8tYYuSx1hVVwMnA48ANkmyfntqa2BVu38xsA1Ae/5uwJXd8iFtJEmSJEmSJM1iIVcf3jzJJu3+HYHHA+cBJwHPaqvtB3y53T+2PaY9/99VVW35vu3qxNsDOwDfX5inkCRJkiRJ0rovkAXYlrD1Z68yb+4FfKJdKXgZcGRVfTXJucDnkrwL+AFweFv/cOBTSVbQZAjuC1BV5yQ5EjgXWA28qqpuXsDnkCRJkiRJktZpCxYUrKqzgIcOKb+QIasHV9VvgWePuNZBwEHz3UdJkiRJkiT1Q5Yt7dWBJ63fTy9JkiRJkiT10EIOH5YkSZIkSZKWhiU+59+kmSkoSZIkSZIk9YyZgpIkSZIkSeqXBJxTUJIkSZIkSVKfmCkoSZIkSZKk/nFOQUmSJEmSJEl9YqbgInnCsmcvdhc0z0685QuL3QVJkiRJkjSuZWYKSpIkSZIkSeoRMwWlddgT1nvuYndB8+zEmz+/2F2QJEmSpNu/QNLvXLl+P70kSZIkSZLUQ2YKSpIkSZIkqWfinIKL3QFJkiRJkiRJC8tMQUmSJEmSJPVPzBSUJEmSJEmS1CNmCkqSJEmSJKl/zBSUJEmSJEmS1CdmCkqSJEmSJKlfAizrd65cv59ekiRJkiRJ6iEzBSVJkiRJktQzcU7Bxe6AJEmSJEmSpIVlpqAkSZIkSZL6x0xBSZIkSZIkSX1ipqAkSZIkSZL6x0xBSZIkSZIkSX1ipqAkSZIkSZL6JcAyMwUlSZIkSZIk9YiZgpLUc3tv+rLF7oLm2deu+thid0GSJEla+pxTUJIkSZIkSVKfmCkoSZIkSZKkngmk37lyBgUlSdJttvdm+y92FzSPvnb5oYvdBUmSJE2YQUFJkiRJkiT1i6sPO6egJEmSJEmS1DdmCkqSJEmSJKl/XH1YkiRJkiRJUp8YFJQkSZIkSVL/JJPfZu1CtklyUpLzkpyT5DVt+UOSfDfJ2Um+kuSunTZvSrIiyflJntQp37stW5HkjbPd26CgJEmSJEmStDhWA6+rqgcCjwBelWRH4GPAG6vqj4FjgNcDtOf2BR4E7A18JMl6SdYDPgw8GdgReF5bdyTnFJQkSdKS8OQtX7nYXdA8Ov5XH1nsLkiSNIPxMvkmraouAS5p969Nch6wFfCHwLfaaicCJwBvAfYBPldVNwI/S7IC2KWtt6KqLgRI8rm27rmj7m1QUJIkSdLtxpPv9arF7oLm0fGXfHixuyBJt9VmSU7vHB9aVYcOq5hkO+ChwPeAHwFPA74MPBvYpq22FXBqp9nFbRnARQPlu87UMYOCkiRJkiRJ6pcAyxYkU/Dyqtp5tkpJNgaOAg6sqmuSvBT4UJK3AscCN01VHdK8GD5FYM10T4OCkiRJkiR1PHmrv1nsLmgeHf/Lf13sLkgzSrIBTUDw01V1NEBV/Rh4Ynv+/sCfttUvZjprEGBrYFW7P6p8KBcakSRJkiRJUv8sjdWHAxwOnFdVB3fKt2j/XQb8I/DR9tSxwL5JNkyyPbAD8H3gNGCHJNsnuQPNYiTHznRvMwUlSZIkSZKkxbE78CLg7CTL27I30wT4pibKPRr4T4CqOifJkTQLiKwGXlVVNwMkOYBmQZL1gCOq6pyZbmxQUJIkSZIkSb1TS2P14VMYPk8gwCEj2hwEHDSk/DjguHHv7fBhSZIkSZIkqWfMFJQkSZIkSVL/9DxVruePL0mSJEmSJPWPmYKSJEmSJEnqlzDW6sC3Z2YKSpIkSZIkST1jpqAkSZIkSZJ6JmYKLnYHJEmSJEmSJC0sMwUlSZIkSZLUP2YKSpIkSZIkSeoTMwUlSZIkSZLUO2WmoCRJkiRJkqQ+MVNQkiRJkiRJ/RJ6nyrX88eXJEmSJEmS+sdMQUmSJEmSJPWPcwpKkiRJkiRJ6hMzBSVJkiRJktQ/ZgpKkiRJkiRJ6hMzBSVJkiRJktQrRSgzBSVJkiRJkiT1iZmCkiRJkiRJ6pfQ+1S5nj++JEmSJEmS1D9mCkqSJEmSJKl/nFNQkiRJkiRJUp+YKShJkiRJkqTecfVhSZIkSZIkSb1ipqAkSZIkSZL6p9+JgmYKSpIkSZIkSX1jpqAkSZIkSZL6xzkFJUmSJEmSJPWJmYKSJEmSJEnql0D1PFVuwR4/yTZJTkpyXpJzkrymLX97kl8mWd5uT+m0eVOSFUnOT/KkTvnebdmKJG9cqGeQJEmSJEmSbg8WMlNwNfC6qjozyV2AM5Kc2J77QFW9r1s5yY7AvsCDgHsD30hy//b0h4EnABcDpyU5tqrOXZCnkCRJkiRJ0rqv53MKLlhQsKouAS5p969Nch6w1QxN9gE+V1U3Aj9LsgLYpT23oqouBEjyubauQUFJkiRJkiRpDIsyejrJdsBDge+1RQckOSvJEUk2bcu2Ai7qNLu4LRtVPniP/ZOcnuT0yy67bJ6fQJIkSZIkSeuyyuS3pWzBg4JJNgaOAg6sqmuAfwfuC+xEk0n4/qmqQ5rXDOVrFlQdWlU7V9XOm2+++bz0XZIkSZIkSbo9WNDVh5NsQBMQ/HRVHQ1QVb/unD8M+Gp7eDGwTaf51sCqdn9UuSRJkiRJkjSL9H5OwYVcfTjA4cB5VXVwp/xenWrPAH7U7h8L7JtkwyTbAzsA3wdOA3ZIsn2SO9AsRnLsQjyDJEmSJEmSdHuwkJmCuwMvAs5OsrwtezPwvCQ70QwBXgm8AqCqzklyJM0CIquBV1XVzQBJDgBOANYDjqiqcxbwOSRJkiRJkrQuC8MnqOuRhVx9+BSGf9zHzdDmIOCgIeXHzdROkiRJkiRJ0mgLOqegJEmSJEmStBSUcwpKkiRJkiRJ6hMzBSVJkiRJktQ/PU+V6/njS5IkSZIkSf1jpqAkSZIkSZJ6pXBOQTMFJUmSJEmSpJ4xU1CSJEmSJEn9knbrMTMFJUmSJEmSpJ4xU1CSJEmSJEm9U2YKSpIkSZIkSeoTMwUlSZIkSZLUP64+LEmSJEmSJKlPzOWV4HYAACAASURBVBSUJEmSJElS7zinoCRJkiRJkqReMVNQkiRJkiRJ/WOmoCRJkiRJkqQ+MVNQkiRJkiRJ/RJg2eKnCibZBvgksCVwC3BoVR2SZCfgo8BGwGrglVX1/SSvB17QNl8feCCweVVdmWQlcC1wM7C6qnae6d4GBSVJkiRJkqTFsRp4XVWdmeQuwBlJTgTeA7yjqo5P8pT2eM+qei/wXoAkTwVeW1VXdq732Kq6fJwbGxSUJEmSJElS7yyF1Yer6hLgknb/2iTnAVsBBdy1rXY3YNWQ5s8DPru29zYoKEmSJEmSJE3GZklO7xwfWlWHDquYZDvgocD3gAOBE5K8j2ZNkEcO1L0TsDdwQKe4gK8nKeA/Rt1nikFBSZIkSZIk9c/CZApePtvcfgBJNgaOAg6sqmuSvItmaPBRSZ4DHA48vtPkqcD/Dgwd3r2qViXZAjgxyY+r6luj7unqw5IkSZIkSdIiSbIBTUDw01V1dFu8HzC1/wVgl4Fm+zIwdLiqVrX/XgocM6TNGgwKSpIkSZIkqXcqk99mkyQ0WYDnVdXBnVOrgD3a/ccBF3Ta3K099+VO2Z3bhUpIcmfgicCPZrq3w4clSZIkSZKkxbE78CLg7CTL27I3Ay8HDkmyPvBbYP9Om2cAX6+q6ztl9wSOaWKMrA98pqq+NtONDQpKkiRJkiSpX5JmW2RVdQqjZzd8+Ig2Hwc+PlB2IfCQudzb4cOSJEmSJElSz5gpKEmSJEmSpF4pxpvz7/bMTEFJkiRJkiSpZ8wUlCRJkiRJUv+YKShJkiRJkiSpT8wUlCRJkiRJUu84p6AkSZIkSZKkXjFTUJIkSZIkSf0SIP1OFTRTUJIkSZIkSeoZMwUlSZIkSZLUO84pKEmSJEmSJKlXzBSUJEmSJElS/5gpKEmSJEmSJKlPzBSUJEmSJElS71TPU+V6/viSJEmSJElS/5gpKEmSJEmSpH4Jzim42B2QJEmSJEmStLDMFJQkSZIkSVLvlJmCkiRJkiRJkvrETEFJkiRJkiT1T/qdKmimoCRJkiRJktQzZgpKkiRJkiSpVwrnFDRTUJIkSZIkSeoZMwUlSZIkSZLUP2YKSpIkSZIkSeoTMwUlSZIkSZLUL3FOQTMFJUmSJEmSpJ4xU1CSJEmSJEn9Y6agJEmSJEmSpD4xU1CSJEmSJEm945yCkiRJkiRJknrFTEFJkiRJkiT1j5mCkiRJkiRJkvrETEFJkiRJkiT1jnMKSpIkSZIkSeoVMwUlSZIkSZLUL8E5BRe7A5IkSZIkSZIWlpmCkiRJkiRJ6p1Kv1MFzRSUJEmSJEmSesZMQUmSJEmSJPVPvxMFzRSUJEmSJEmS+sZMQUmSJEmSJPVKAWWmoCRJkiRJkqQ+MVNQkiRJkiRJ/WOmoCRJkiRJkqQ+MVNQkiRJkiRJ/RLMFFzsDkiSJEmSJElaWGYKSpIkSZIkqXdcfViSJEmSJElSr5gpKEmSJEmSpP4xU3BhJNkmyUlJzktyTpLXtOV3T3Jikgvafzdty5PkQ0lWJDkrycM619qvrX9Bkv0W6hkkSZIkSZKk24OFHD68GnhdVT0QeATwqiQ7Am8EvllVOwDfbI8Bngzs0G77A/8OTRAReBuwK7AL8LapQKIkSZIkSZI0jsrkt6VswYKCVXVJVZ3Z7l8LnAdsBewDfKKt9gng6e3+PsAnq3EqsEmSewFPAk6sqiur6irgRGDvhXoOSZIkSZIkaV23KHMKJtkOeCjwPeCeVXUJNIHDJFu01bYCLuo0u7gtG1U+eI/9aTIM2Xbbbef3ASRJkiRJkrRuW+KZfJO24KsPJ9kYOAo4sKqumanqkLKaoXzNgqpDq2rnqtp58803X7vOSpIkSZIkSbdDCxoUTLIBTUDw01V1dFv863ZYMO2/l7blFwPbdJpvDayaoVySJEmSJEma3QLMJzjOnIIzLMy7U5JTkyxPcnqSXdryPZP8X1u+PMlbO9faO8n57aK9bxx1zykLufpwgMOB86rq4M6pY4GpFYT3A77cKX9xuwrxI4D/a4cZnwA8Mcmm7QIjT2zLJEmSJEmSpHXJqIV53wO8o6p2At7aHk/5dlXt1G7vBEiyHvBhmoV7dwSe115npIWcU3B34EXA2UmWt2VvBv4FODLJXwK/AJ7dnjsOeAqwAvgN8BcAVXVlkn8CTmvrvbOqrlyYR5AkSZIkSdLtwhKYU7BNgJtaa+PaJFML8xZw17ba3Zh9lOwuwIqquhAgyedoFvE9d1SDBQsKVtUpjP649xpSv4BXjbjWEcAR89c7SZIkSZIkad5tluT0zvGhVXXosIoDC/MeCJyQ5H00I30f2am6W5If0gQK/66qzmH4wry7ztSxRVl9WJIkSZIkSVpUC5MpeHlV7TxbpcGFeZO8C3htVR2V5Dk0U/I9HjgTuE9VXZfkKcCXgB0Yc2HergVffViSJEmSJElSY8TCvPsBU/tfoBkeTFVdU1XXtfvHARsk2Yy1WJh3rYOCbYclSZIkSZKkdc4SWX141MK8q4A92v3HARe09bds29CuSLwMuIJm7Y0dkmyf5A7AvjSL+I401vDhJK8GfllVR7XHhwP7Jfkp8LSqOn+c60iSJEmSJEm61aiFeV8OHJJkfeC3wP7tuWcBf51kNXADsG+7LsfqJAcAJwDrAUe0cw2ONO6cgq8GXgqQ5DHAc4DnA38OvB/4szGvI0mSJEmSJC2+pbH68EwL8z58SP1/A/5txLWOA44b997jBgW3Ala2+08FvlBVRyY5G/j2uDeTJEmSJEmStPjGnVPwGmDzdv8JwDfb/d8BG813pyRJkiRJkqRJqQXalrJxMwW/DhyW5AfA/YDj2/IHAT+bRMckSZIkSZIkTca4mYKvAv4X2Ax4VlVd2ZY/DPjsJDomSZIkSZIkTUQWaFvCxsoUrKprgL8ZUv62ee+RJEmSJEmSpIkaK1Mwyc1JthhSfo8kN89/tyRJkiRJkqQJ6nmm4LjDh0c9xobATfPUF0mSJEmSJEkLYMbhw0n+tt0t4K+SXNc5vR7waODHE+qbJEmSJEmSNBG1xDP5Jm22OQWn5hEM8DKgO1T4JmAl8Ffz3y1JkiRJkiRJkzJjULCqtgdIchLwzKq6akF6JUmSJEmSJE2SmYKzq6rHTrojkiRJkiRJkhbGWEFBgCTPBfYCtmBggZKqeto890uSJEmSJEmaGOcUHEOS9wIHAicBq2gWHpEkSZIkSZK0Dho3U/DFwPOq6ouT7IwkSZIkSZI0caH3cwoum73KrfWWT7IjkiRJkiRJkhbGuEHBQ4EXTrIjkiRJkiRJ0oLJAmxL2LjDhzcBnp/kCcBZwO+6J6vq1fPdMUmSJEmSJEmTMW5QcEemhw8/YOCci45IkiRJkiRpneLqw2OoqsdOuiOSJEmSJEmSFsa4cwoCkGSzJLsm2XBSHZIkSZIkSZImrudzCo4VFExylyRfAC4FvgNs1ZZ/NMnbJ9c9SZIkSZIkSfNt3EzBdwP3Bh4G3NAp/yrwjPnulCRJkiRJkjRRPc8UHHehkacBz6iq5Um6C4ucB/zB/HdLkiRJkiRJ0qSMGxTcFLhiSPldgJvnrzuSJEmSJEnShMXVh8cdPnwaTbbglKlswVfQzDEoSZIkSZIkaR0xbqbgm4ETkjyobfO37f4uwGMm1TlJkiRJkiRpIswUnF1VfQd4JHAH4KfAXsAqYLeqOnNy3ZMkSZIkSZI038bNFKSqzgb2m2BfJEmSJEmSpIkrnFNwZFAwybbjXqSqfjE/3ZEkSZIkSZI0aTNlCq5kekGR2ax327siSZIkSZIkLRAzBUf6k87+/YH3AB8FvtuW7Uaz+vDfT6ZrkiRJkiRJkiZhZFCwqs6Y2k9yMPDaqvpip8p/JzkfeA3w2cl1UZIkSZIkSZpnPc8UHGv1YWAX4Kwh5WcBD5+/7kiSJEmSJEmatHGDgiuBVw4pfyXw83nrjSRJkiRJkjRpaVYfnvS2lM00p2DXa4FjkuwNnNqW7QpsBzxzAv2SJEmSJEmSNCFjZQpW1ddoFhs5GrgrcLd2//5VdfzkuidJkiRJkiRNQBZgW8LGzRSkqi4C3jzBvkiSJEmSJElaACODgkkeBiyvqlva/ZGq6sx575kkSZIkSZKkiZgpU/B0YEvg0na/GJ74WMB68981SZIkSZIkSZMwU1Bwe+Cyzr4kSZIkSZJ0u7DUVweetJFBwar6+bB9SZIkSZIkSeu2sVYfTnJAkhcOKX9hklfOf7ckSZIkSZKkCer56sNjBQWBA4GLhpSvBF47b72RJEmSJEmSNHEzzSnYtTUwbAjxxe05SZIkSZIkad2xxDP5Jm3cTMFfATsNKX8YcPn8dUeSJEmSJEnSpI2bKfgZ4ENJrgdObsseC3wQ+PQE+iVJkiRJkiRNRlx9eNyg4NuA7YETgJvbsmXAF4C3TKBfkiRJkiRJkiZkrKBgVf0OeF6StwIPbYvPrKoVE+uZJEmSJEmSNClmCo6vqi4ALphQXyRJkiRJkiQtgLGDgkmeC+wFbMHAAiVV9bR57pckSZIkSZI0Mc4pOIYk7wUOBE4CVgE1yU5JkiRJkiRJmpxxMwVfDDyvqr44yc5IkiRJkiRJC6LnmYLLZq9ya73lk+yIJEmSJEmSpIUxblDwUOCFk+yIJEmSJEmStGBSk9+WsHGHD28CPD/JE4CzgN91T1bVq+e7Y5IkSZIkSdLtWZJtgE8CWwK3AIdW1SFJdgI+CmwErAZeWVXfT/IC4O/b5tcBf11VP2yvtRK4FrgZWF1VO89073GDgjsyPXz4AQPnlnbYU5IkSZIkSeqoLJnVh1cDr6uqM5PcBTgjyYnAe4B3VNXxSZ7SHu8J/AzYo6quSvJkmtG9u3au99iqunycG48VFKyqx47/LJIkSZIkSZJmU1WXAJe0+9cmOQ/YiiYJ765ttbsBq9o63+k0PxXYem3vPW6moCRJkiRJknT7sTQyBW+VZDvgocD3gAOBE5K8j2ZNkEcOafKXwPGd4wK+nqSA/6iqQ2e634xBwSQfGqfTzikoSZIkSZIk/Z7NkpzeOT50WLAuycbAUcCBVXVNkncBr62qo5I8BzgceHyn/mNpgoKP6lxm96palWQL4MQkP66qb43q2GyZgn8866M5p6AkSZIkSZLWNQuTKXj5bAt+JNmAJiD46ao6ui3eD3hNu/8F4GOd+g9uj59cVVdMlVfV1BDjS5McA+wCrF1Q0LkEJUmSJEmSpMlIEposwPOq6uDOqVXAHsDJwOOAC9r62wJHAy+qqp90rnNnYFk7L+GdgScC75zp3s4pKEmSJEmSpN5ZIqsP7w68CDg7yfK27M3Ay4FDkqwP/BbYvz33VuAewEeaeCKr20zEewLHtGXrA5+pqq/NdGODgpIkSZIkSdIiqKpTGD2Q+eFD6r8MeNmQ8guBh8zl3gYFJUmSJEmS1D9LI1Nw0Sxb7A5IkiRJkiRJWlgjg4JJjkhyl3b/Me0YZkmSJEmSJGndlgXalrCZMgVfCNy53T8JuPvkuyNJkiRJkiRp0mbK/lsJ/E2Sr9PENndLctWwilX1rQn0TZIkSZIkSZqM1GL3YFHNFBR8PXAY8CaggGNG1CtgvXnulyRJkiRJkqQJGTl8uKq+XFVb0AwbDvAgYPMh2xbj3Kido/DSJD/qlL09yS+TLG+3p3TOvSnJiiTnJ3lSp3zvtmxFkjfO8XklSZIkSZIkKpPflrJZFw+pqquTPBa4oKpW34Z7fRz4N+CTA+UfqKr3dQuS7AjsSxOIvDfwjST3b09/GHgCcDFwWpJjq+rc29AvSZIkSZIkqVfGWlG4qv4nyYZJXgzsSDNk+FzgM1V145jX+FaS7cbs1z7A59pr/yzJCmCX9tyKqroQIMnn2roGBSVJkiRJkqQxzbT68K3azL2fAAcDuwKPAD4A/CTJA29jHw5IclY7vHjTtmwr4KJOnYvbslHlw/q8f5LTk5x+2WWX3cYuSpIkSZIkSbcfYwUFgUOA5cC2VfXoqno0sC3wQ+CDt+H+/w7cF9gJuAR4f1s+bNR1zVD++4VVh1bVzlW18+abb34buihJkiRJkqTbnSzAtoSNNXwY2B34k6q6Zqqgqq5J8g/AqWt786r69dR+ksOAr7aHFwPbdKpuDaxq90eVS5IkSZIkSRrDuJmCvwU2GVJ+t/bcWklyr87hM4CplYmPBfZt5zHcHtgB+D5wGrBDku2T3IFmMZJj1/b+kiRJkiRJ6idXHx7PV4DDkryc6czA3YD/YMygXJLPAnsCmyW5GHgbsGeSnWiGAK8EXgFQVeckOZJmAZHVwKuq6ub2OgcAJwDrAUdU1TljPoMkSZIkSZIkxg8Kvgb4BPBt4Oa2bBlNQPDAcS5QVc8bUnz4DPUPAg4aUn4ccNw495QkSZIkSZJ+T4AMXaaiN8YKClbV1cA+Se4HPJDmozu3qlZMsnOSJEmSJEmS5t+4mYIAtEFAA4GSJEmSJElaty3xOf8mbdyFRiRJkiRJkiTdTswpU1CSJEmSJEm6XTBTUJIkSZIkSVKfzBoUTLJ+klcmufdCdEiSJEmSJEmauCzAtoTNGhSsqtXAe4ENJt8dSZIkSZIkSZM27pyCpwIPA34+wb5IkiRJkiRJC6AgtdidWFTjBgUPA96f5D7AGcD13ZNVdeZ8d0ySJEmSJEnSZIwbFPxM++/BQ84VsN78dEeSJEmSJEmasHVgzr9JGzcouP1EeyFJkiRJkiRpwYwVFKwq5xKUJEmSJEnS7Ub1PFNw1tWHpyR5cpKvJjk3yTZt2cuS7DW57kmSJEmSJEmab2MFBZO8ADgSuIBmKPEG7an1gDdMpmuSJEmSJEnShKQmvy1h42YKvgF4eVW9FljdKT8V2GneeyVJkiRJkiRpYsZdaGQH4LtDyq8D7jp/3ZEkSZIkSZIWgHMKjmUVcP8h5Y8Bfjp/3ZEkSZIkSZI0aeNmCh4KfCjJy9rjbZI8GngP8PZJdEySJEmSJEmalPQ8U3CsoGBVvSfJ3YATgY2Ak4AbgfdV1Ycn2D9JkiRJkiRJ82zcTEGq6h+SHATsSDPs+Nyqum5iPZMkSZIkSZImISz51YEnbeygYKuA37b7N89zXyRJkiRJkiQtgLEWGkmyYZIPAlcCPwTOAq5MckiSjSbZQUmSJEmSJGneZQG2JWzcTMF/B54IvAz4blu2G/D/AXcBXjr/XZMkSZIkSZI0CeMGBZ8NPLOqTuyUXZjkUuAoDApKkiRJkiRpXbLEM/kmbazhw8D1wC+HlP8SuGH+uiNJkiRJkiRp0sYNCv4r8LYkd5wqaPff0p6TJEmSJEmS1iG1ANvSNXL4cJJjB4r2BH6Z5Kz2+I/b9neeTNckSZIkSZIkTcJMcwpeMXB81MDxz+a5L5IkSZIkSdLC6PmcgiODglX1FwvZEUmSJEmSJEkLY9zVhyXp/2/v3sNsqco7j39/fUDJRBNURBkugglEookIR8CICl4IXqJGjeCggJgwakzQ0SRGMRrEjDLRiY7j5SBXg2gMXojREESIwXgDPAMICqioBwiCKKAiBnnnj1Vb6uzT3Wdjunt3n/p+nqee3rVqVdXa3aur9l71rrUkSZIkSdo0BJLlPebfYpuoUTDJvYDXAfsBWzM2QUlVbb3gJZMkSZIkSZK0KCaNFDwFeDBwMnAdy336FEmSJEmSJGk+jik4kX2Bx1TVhYtYFkmSJEmSJElLYNJGwa8x1mVYkiRJkiRJWplq8GMKTtrQdyTwP5M8NMmqxSyQJEmSJEmSpMU1aaTglcAvABcCJOt3uq4qGwolSZIkSZK0cjim4EROA34Z+GOcaESSJEmSJEla0SZtFFwN7FlVlyxmYSRJkiRJkqSlkIFHCk46puClwC8tZkEkSZIkSZIkLY1JIwWPAt6S5CjgYuA/+hur6saFLpgkSZIkSZK0KAI4+/BEPg7sCfwzcA1wfbfc0P2UJEmSJEmSdBck2T7JOUkuS/LlJEd26bsl+VyStUnOT7Jnl54kb0tyZZKLkuzeO9ahSa7olkM3du5JIwX3+7nemSRJkiRJkrTMBMjyiBS8HXh5VV2Y5J7ABUnOAo4F/rKqPpHkSd36vsATgZ27ZS/gncBeSe4NvJY2L0h1xzmjqr4314knahSsqn/5ud+aJEmSJEmSpA1U1bXAtd3rW5JcBmxLa9gbze/xy7SeuwBPA06pqgI+l2TLJNvQGgzPGg3x1zUsHgCcNte5J2oU7IcizvEGLpzkOJIkSZIkSdJysESzD2+V5Pze+pqqWjN7ebIj8DDg88BLgTOT/DVt+L/f6rJtC3y7t9u6Lm2u9DlN2n34fFoLZf/X1Y+xXDXhcSRJkiRJkqShuKGqVm8sU5J7AKcDL62qm5McA7ysqk5P8mzgeODxrN82NzLeZtdPn9OkE43sBDyw+7kTsAtwEG0m4qdMeAxJkiRJkiRpWUhq0ZfJypHNaQ2Cp1bVh7rkQ4HR6w/SJgCGFgG4fW/37Whdi+dKn9NEjYJV9c2x5cqq+iDwp8BRkxxDkiRJkiRJ0p2ShBYFeFlVvaW36RrgMd3rxwJXdK/PAA7pZiHeG7ipG5fwTGD/JPdKci9g/y5tTpN2H57LN4Dd/pPHkCRJkiRJkpbW0owpuDGPBJ4HXJxkbZf2KuAPgLcm2Qz4MXBEt+3jwJOAK4EfAc8HqKobk7we+GKX7+jRpCNzmXSikXuPJwHbAK8DvjrJMSRJkiRJkiTdqarOY+7myT1myV/AH85xrBOAEyY996SRgjew4eCEoc1qcuCkJ5MkSZIkSZKmLkw85t+matJGwf3G1u8ArgeurKrbF7ZIkiRJkiRJkhbTRI2CVfUvi10QSZIkSZIkaaksjyEFp2feRsFZxhKc1cYGLpQkSZIkSZK0fGwsUnC2sQTH1QTHkSRJkiRJkpaFUI4puJHt42MJ9h0AHAk4pqAkSZIkSZK0gszbKDjbWIJJdgfeBDwaeDfw+sUpmiRJkiRJkrQ4hh4pODNpxiQ7JXkf8HngRuDXq+qPq+r6RSudJEmSJEmSpAW30bEAk9wH+AvghcBngEdU1fmLXTBJkiRJkiRpsWTg0w/PGymY5FXA14DHAE+rqsfaIChJkiRJkiStbBuLFDwGuBVYB7w4yYtny1RVT13ogkmSJEmSJEmLZWbgYwpurFHwFGDYvyFJkiRJkiRpE7Ox2YcPW6JySJIkSZIkSUsicfbhiWcfliRJkiRJkrRp2Ojsw5IkSZIkSdKmxkhBSZIkSZIkSYNipKAkSZIkSZIGJ5l2CabLSEFJkiRJkiRpYIwUlCRJkiRJ0sAUM44pKEmSJEmSJGlIjBSUJEmSJEnSoARnHzZSUJIkSZIkSRoYIwUlSZIkSZI0ODMYKShJkiRJkiRpQIwUlCRJkiRJ0rAEkmkXYrqMFJQkSZIkSZIGZskaBZOckOQ7SS7ppd07yVlJruh+3qtLT5K3JbkyyUVJdu/tc2iX/4okhy5V+SVJkiRJkrRpCDCTWvRlOVvKSMGTgAPG0l4JnF1VOwNnd+sATwR27pYjgHdCa0QEXgvsBewJvHbUkChJkiRJkiRpMkvWKFhVnwZuHEt+GnBy9/pk4Om99FOq+RywZZJtgN8GzqqqG6vqe8BZbNjQKEmSJEmSJM0rqUVflrNpjyl4v6q6FqD7uXWXvi3w7V6+dV3aXOkbSHJEkvOTnH/99dcveMElSZIkSZKklWq5zj482/wvNU/6holVa4A1AKtXr17eTbOSJEmSJElaQst/zL/FNu1Iweu6bsF0P7/Tpa8Dtu/l2w64Zp50SZIkSZIkSROadqPgGcBoBuFDgY/20g/pZiHeG7ip6158JrB/knt1E4zs36VJkiRJkiRJExv6mIJL1n04yWnAvsBWSdbRZhF+I/B3SV4AfAv4vS77x4EnAVcCPwKeD1BVNyZ5PfDFLt/RVTU+eYkkSZIkSZKkeSxZo2BVPWeOTY+bJW8BfzjHcU4ATljAokmSJEmSJGlAEhxTcNoFkCRJkiRJkrS0luvsw5IkSZIkSdKimcFIQUmSJEmSJEkDYqSgJEmSJEmSBme5zw682IwUlCRJkiRJkgbGSEFJkiRJkiQNSihnH552ASRJkiRJkiQtLSMFJUmSJEmSNDhGCkqSJEmSJEkaFCMFJUmSJEmSNCjBSEEjBSVJkiRJkqSBMVJQkiRJkiRJwxIjBY0UlCRJkiRJkgbGSEFJkiRJkiQNzgxGCkqSJEmSJEkaECMFJUmSJEmSNCihHFNw2gWQJEmSJEmStLSMFJQkSZIkSdLgGCkoSZIkSZIkaVCMFJQkSZIkSdKgBCMFjRSUJEmSJEmSpiDJ9knOSXJZki8nObJL/0CStd1yVZK1XfrBvfS1Se5Islu37dwkX+1t23q+cxspKEmSJEmSpMFZJpGCtwMvr6oLk9wTuCDJWVV14ChDkjcDNwFU1anAqV36bwAfraq1veMdXFXnT3JiGwUlSZIkSZKkKaiqa4Fru9e3JLkM2Ba4FCBJgGcDj51l9+cAp/2857ZRUJIkSZIkSYMSYIYliRTcKkk/cm9NVa2ZtUzJjsDDgM/3kh8FXFdVV8yyy4HA08bSTkzyU+B04JiqmvNN2igoSZIkSZIkLY4bqmr1xjIluQetIe+lVXVzb9Os0YBJ9gJ+VFWX9JIPrqqru27IpwPPA06Z65w2CkqSJEmSJGlYUstlTEGSbE5rxDu1qj7US98MeAawxyy7HcRYY2FVXd39vCXJ+4A9madR0NmHJUmSJEmSpCnoxgw8Hrisqt4ytvnxwFeqat3YPjPA7wHv76VtlmSr7vXmwFOAfhThBowUlCRJkiRJ0uDM5I5pFwHgkbRuvhcnGc0i/Kqq+jizRAN2Hg2sq6qv99LuDpzZNQiuAj4JHDffiW0UlCRJkiRJkqagqs6jzXsy27bD5kg/F9h7LO2HzN7NeE42CkqSJEmSJGlQAstmTMFpcUxBSZIkSZIkaWCMf9jS9QAAHcdJREFUFJQkSZIkSdLgzGCkoCRJkiRJkqQBMVJQkiRJkiRJgxLKMQWnXQBJkiRJkiRJS8tIQUmSJEmSJA3OTO6YdhGmykhBSZIkSZIkaWCMFJQkSZIkSdKgJLDKMQUlSZIkSZIkDYmRgpIkSZIkSRqcGYwUlCRJkiRJkjQgRgpKkiRJkiRpYMrZh6ddAEmSJEmSJElLy0hBSZIkSZIkDUqAGWcfliRJkiRJkjQkRgpKkiRJkiRpcFY5+7AkSZIkSZKkITFSUJIkSZIkSYMSZx82UlCSJEmSJEkaGiMFJUmSJEmSNDjOPixJkiRJkiRpUIwUlCRJkiRJ0qAksMpIQUmSJEmSJElDYqSgJEmSJEmSBmcGZx+WJEmSJEmSNCBGCkqSJEmSJGlQQjn78LQLIEmSJEmSJGlpGSkoSZIkSZKkwVnlmIKSJEmSJEmShsRIQUmSJEmSJA1KwDEFp10ASZIkSZIkSUvLSEFJkiRJkiQNTLEqjikoSZIkSZIkaUCMFJQkSZIkSdKgBJjBMQUlSZIkSZIkDYiRgpIkSZIkSRocxxSUJEmSJEmSNChGCkqSJEmSJGlQkmLGSEFJkiRJkiRJQ2KkoCRJkiRJkgZnlbMPS5IkSZIkSRoSIwUlSZIkSZI0KAHHFJx2ASRJkiRJkiQtLSMFJUmSJEmSNDDlmILTLgBAkquSXJxkbZLzu7R7JzkryRXdz3t16UnytiRXJrkoye7TLb0kSZIkSZK0siyLRsHOflW1W1Wt7tZfCZxdVTsDZ3frAE8Edu6WI4B3LnlJJUmSJEmStGKNxhRc7GU5W06NguOeBpzcvT4ZeHov/ZRqPgdsmWSbaRRQkiRJkiRJWomWy5iCBfxzkgLeXVVrgPtV1bUAVXVtkq27vNsC3+7tu65Lu7Z/wCRH0CIJ2WGHHRa5+JIkSZIkSVpJVrG8I/kW23JpFHxkVV3TNfydleQr8+TNLGkbjAzZNSyuAVi9evWwR46UJEmSJEmSepZFo2BVXdP9/E6SDwN7Atcl2aaLEtwG+E6XfR2wfW/37YBrlrTAkiRJkiRJWrFCMZNhx5BNfUzBJL+Y5J6j18D+wCXAGcChXbZDgY92r88ADulmId4buGnUzViSJEmSJEnSxi2HSMH7AR9OAq0876uqf0ryReDvkrwA+Bbwe13+jwNPAq4EfgQ8f+mLLEmSJEmSpJXMMQWnrKq+Djx0lvTvAo+bJb2AP1yCokmSJEmSJEmbpKk3CkqSJEmSJElLKcCqDDtScOpjCkqSJEmSJElDlGT7JOckuSzJl5Mc2aV/IMnabrkqydoufcckt/a2vat3rD2SXJzkyiRvSzdW31yMFJQkSZIkSdLAFDMsi9mHbwdeXlUXdhPxXpDkrKo6cJQhyZuBm3r7fK2qdpvlWO8EjgA+R5uT4wDgE3Od2EhBSZIkSZIkaQqq6tqqurB7fQtwGbDtaHsX7fds4LT5jpNkG+CXquqz3XwcpwBPn28fIwUlSZIkSZI0KMmSjSm4VZLze+trqmrN7GXKjsDDgM/3kh8FXFdVV/TSdkryJeBm4Kiq+ldaQ+K6Xp519BoXZ2OjoCRJkiRJkrQ4bqiq1RvLlOQewOnAS6vq5t6m57B+lOC1wA5V9d0kewAfSfJg2twp4+btH22joCRJkiRJkgZnhuUx+3CSzWkNgqdW1Yd66ZsBzwD2GKVV1W3Abd3rC5J8DdiFFhm4Xe+w2wHXzHdexxSUJEmSJEmSpqAbM/B44LKqesvY5scDX6mqdb38902yqnv9QGBn4OtVdS1wS5K9u2MeAnx0vnMbKShJkiRJkqRBCcWqLIvZhx8JPA+4OMnaLu1VVfVx4CA2nGDk0cDRSW4Hfgq8sKpu7La9CDgJ+AXarMNzzjwMNgpKkiRJkiRJU1FV5zH7eIBU1WGzpJ1O62o8W/7zgYdMem4bBSVJkiRJkjQoAVYtkzEFp8UxBSVJkiRJkqSBMVJQkiRJkiRJgzMTIwUlSZIkSZIkDYiRgpIkSZIkSRqUUI4pOO0CSJIkSZIkSVpaRgpKkiRJkiRpcFalpl2EqTJSUJIkSZIkSRoYIwUlSZIkSZI0KAFmHFNQkiRJkiRJ0pAYKShJkiRJkqSBKVbFSEFJkiRJkiRJA2KkoCRJkiRJkgYlwCrHFJQkSZIkSZI0JEYKSpIkSZIkaXBmqGkXYaqMFJQkSZIkSZIGxkhBSZIkSZIkDUri7MNGCkqSJEmSJEkDY6SgJEmSJEmSBmeVYwpKkiRJkiRJGhIjBSVJkiRJkjQoAWZwTEFJkiRJkiRJA2KkoCRJkiRJkgbG2YeNFJQkSZIkSZIGxkhBSZIkSZIkDUpw9mEjBSVJkiRJkqSBMVJQkiRJkiRJgzMTIwUlSZIkSZIkDYiRgpIkSZIkSRqUUKzC2YclSZIkSZIkDYiRgpIkSZIkSRoUZx82UlCSJEmSJEkaHCMFJUmSJEmSNDjOPixJkiRJkiRpUIwUlCRJkiRJ0qA4pqCRgpIkSZIkSdLgGCkoSZIkSZKkwTFSUJIkSZIkSdKgGCkoSZIkSZKkQQkwk2mXYrqMFJQkSZIkSZIGxkhBSZIkSZIkDUw5puC0CyBJkiRJkiRpaRkpKEmSJEmSpEEJRsoN/f1LkiRJkiRJg2OkoCRJkiRJkoYlsMrZhyVJkiRJkiQNiZGCkiRJkiRJGpQQVjHsUEEjBSVJkiRJkqSBMVJQkiRJkiRJgzP0SLmhv39JkiRJkiRpcIwUlCRJkiRJ0qAEWBXHFJQkSZIkSZI0IEYKSpIkSZIkaXBmnH1YkiRJkiRJ0pAYKShJkiRJkqRBCbBqGUQKJtkeOAW4P3AHsKaq3prkA8Cvddm2BL5fVbsleQLwRuBuwE+AP6mqT3XHOhfYBri122//qvrOXOe2UVCSJEmSJEmajtuBl1fVhUnuCVyQ5KyqOnCUIcmbgZu61RuA36mqa5I8BDgT2LZ3vIOr6vxJTmyjoCRJkiRJkgZnOYwpWFXXAtd2r29Jchmtke9SgCQBng08tsvzpd7uXwa2SHL3qrrtrp7bMQUlSZIkSZKkKUuyI/Aw4PO95EcB11XVFbPs8kzgS2MNgicmWZvkNV2D4pyMFJQkSZIkSdKghLBq/jazhbJVkn533jVVtWaD8iT3AE4HXlpVN/c2PQc4bZb8DwbeBOzfSz64qq7uuiGfDjyPNl7hrGwUlCRJkiRJkhbHDVW1er4MSTanNeKdWlUf6qVvBjwD2GMs/3bAh4FDqupro/Squrr7eUuS9wF7YqOgJEmSJEmSdKeZZTCqXtfF93jgsqp6y9jmxwNfqap1vfxbAv8I/HlVfaaXvhmwZVXd0DUyPgX45Hznnv67lyRJkiRJkobpkbRuvo/txgJcm+RJ3baD2LDr8EuAXwVe08u/NXB34MwkFwFrgauB4+Y7sZGCkiRJkiRJGpSwbGYfPg9mL0hVHTZL2jHAMXMcbo850mdlpKAkSZIkSZI0MEYKSpIkSZIkaWDCqgw7Vm7FvvskByT5apIrk7xy2uWRJEmSJEmSVooVGSmYZBXwf4EnAOuALyY5o6ounW7JJEmSJEmStNy1MQVXbKzcglip735P4Mqq+npV/QR4P/C0KZdJkiRJkiRJWhFSVdMuw12W5FnAAVX1+93684C9quolvTxHAEd0q78GfHXJCyqArYAbpl0IrXjWIy0E65EWgvVIC8F6pIVgPdJCsB4NywOq6r7TLsRykeSfaP8Di+2GqjpgCc5zl63I7sPMPlXzeq2bVbUGWLM0xdFckpxfVaunXQ6tbNYjLQTrkRaC9UgLwXqkhWA90kKwHmnIlmtD3VJaqd2H1wHb99a3A66ZUlkkSZIkSZKkFWWlNgp+Edg5yU5J7gYcBJwx5TJJkiRJkiRJK8KK7D5cVbcneQlwJrAKOKGqvjzlYml2duHWQrAeaSFYj7QQrEdaCNYjLQTrkRaC9UgasBU50YgkSZIkSZKkn99K7T4sSZIkSZIk6edko6AkSZIkSZI0MDYKamqSrE5SSXacdlk0fUnWJXnpRvL8OMlzl6pMWr6Wy/UjySuSXDXNMmj5SbJdVz/3nnZZtGlI8oMkh027HFo5rDObjiQ7dveU1dMuC0CSrbry7Dvtskj6z7NRcKCSnNRdzN8zy7Zju20fm0bZtPL16tf4sts8uz0MBzpe0ZK8MMkPu1nhR2l3S/KjJBeP5d25qxOPXfqSalMwxzWmv5w07TJq+Uty3yTvSHJVktuSXJfk7CRPmHD/fbv6ttVil1Urz3+2fmnT571M0rStyNmHtWC+DRyY5Miq+iFAks2A5wHfmmrJtCn4JK0u9d0wninJ3arqJ1V1/dIUS4voU8B/AfYEzuvS9gJuAnZJct/e33lf4Dbg35a6kNpkbNN7/RTguLG0W5e2OFqhTqddt14AXAlsDTwGuM9SF2R0P1zq82pRLZv6pWVrknvZvRbr5Ek2r6r/WKzjS1r+jBQctouAK4Bn99KeDPwYOHeUkGQmyWuSfLt7ynlxkqf1to9C2p+Z5KwuKujS8aegSQ5I8pWuC+i/AruMbb9PktO6bqS3Jvlykuf3th+S5LtJ7j6236lJzliA34cW1m1V9e9jy+1Jzkvy9iRvSXI98C+wYffhJLsk+XRXX76S5InjJ0jy10ku7+rLN5K8cVQ/kvxKkjvGoxOTvKh7Ur/5Ir//wamqy4FrgP16yfvRGojPpzUE9tM/W1U/7qIJ39TVgR8m+WKS3+4fe4Lrx2FpXaUel+SS7jjnJNlpLN/vJLmgO843krxhLLLxGUku6urUjUn+Jcn9etv/NMm/d+c6BbjH2PEfnuSfk9yQ5Oauvj+it/2EjEVhd9fYbyX5HxP8mtXpX1uA74+nVdVNSR7U3Z8eMtovyRZd2lN6aQ9I8sEk3+/uM2f0606SnZJ8LMn3urp1aZJn9LY/Isnarl6dD+zeL2uSuyc5MS1a6NbuuvWyJOm279/dX+8ztt+bk3xhoX93apJsCTwKeGVVnV1V36yqL1bVX1fV+7s8z+2uSbck+U5XT7bttu0InNMd7vr0onqSnJvk7WPnO6n//9/leWd3L7se+EyX/qvdth8n+Wq/rvb2fWO37dauXh2bZItRuZL8NGNdDZP8QXdtutv48bTwJqxfVyV5xdh+69WdLs9RSd7d3VfWJfmTsX2sMyvUJPeyXvYHZI7vWpklajlj3Y57eZ6U5AtJfgL8dpLtk3w07XPPj9I+bx3UO87Dc+dnpy/RHvjS274qyfFpn6tuTXJF2uelmW77o5P8R5L7j+33hiQXLdxvU9LPw0ZBHQ8c3ls/HDgRqF7akcCfAH8G/AbwYeBD2bAr6BuAtwEPBb4IvD/JPQCSbA98BDgL2A34P8CxY/tvAVxIe0r2YOCtwLuTPK7b/kFane03SP4y8Lvd+9DKcShwO7AP69c/oDWS0OrLT4G9gd8HXg+MN+TdDBwG7Aq8BHgu8EqAqvoa7cva+PEPB07xqeiiOYcNGwXP7ZZ++r7c+WX6RFrkxH+jXWNOBv4hyUNh4usHwN2BP6f9jR8BbAm8a7QxraHxVODttGvM4cCzgL/qtt8feH93/l2BRwPv7e3/bOAY4LW0Rp+vAuMNeffs9nkULWJyLfDx3of044ADkvSjAJ4A3L9/Li2dJPek1c/v0f5u+9C+mJ2VOx9CrQFCqxO/AbyCdv0Z3Yf+EfgysAfwF8Cbx06zGXAVrb79Oq0OHU2r89Dq9jXAwb1ybU67pnl/Wzw/6JanjhpHZnE32t/robTPJ1sBp3Xbvg08s3v9YFp0z5F3sQzPpdWtRwGHdPe/D9M+7zyCdp16He361vfDbtuuwIuBg4BXA1TVVbSHMbPd/95rNOKSmaR+TeplwMW0e8+bgGPTPXCyzgzKnN+17qI3AUcBDwI+D7yDFtG6H+1a9lK6Bsokv0i7x30dWE37nP3XY8ebAa6mBZrsSqtXrwKeD1BVnwa+Bhwy2qGrt4fgPU6avqpyGeACnAR8jBaOfiuwM+1L6W3ADqPtXd6rgb8Y2/9c4G+71zvSGhH/e2/7tl3aPt36XwGXA+nlOarLs+M85Xw/8J7e+tuBf+qtvwj4d2Czaf9OXTaoX7dz5wfiHwCf6LadB3xpln3WAS/tXj+p23+73vZ9u/ry3HnO+xLgK731g4DvAnfv1h/SHWPXaf+ONtWF1kXqVtqXkS26178C7A9c1uV50Oj60G27A9hh7DgfAd7Rvd7o9YPWOFzAr/XyHAz8BJjp1j8NvGbsPE/v6mdoX7YKeMAc7+3fgOPG0j4JXDXP7yPAtf16C1xCixwZrX8A+Ptp/+1W8kJrbKtZ0kd17SG9tC26tKd06y8GLhnbb3PgFuCp3frlwJ/Nce4/Bq4Htuil/X53jr3nKfPf0N1nu/WjgLW99d+lfYn/pWn/fjflhdaodyOtl8RnaV9295on/6hObdetj+5NW43lOxd4+1jaSWN/83OBi8by7E97ILZDL22f7hyHzVOuFwJX9tafRWvo3qJb33X8f8Fl+vWL9rDgFfPVnS7PaWN5rgCOss5sWss897Id2fh3rQ2uRb39Vo/leebY8S8CXjtHmY6gNRDeo5f23O44+87zXt4IfLK3/gq6z4Hd+hNp3zvvM+3fu4vL0BcjBQeuqr5He7p4OC1669yq+tl4gkl+CfivdF1aes6jRTv09cO/r+l+bt393BX4XFX1IxA/29+5Cz1/dVrXve8m+QHwDFoj5chxwBOSbNetHw6cXFW3b/zdaol9mhbVNVp+v7ft/I3suyvwrapa10v7HOtHsJLkwCSfSdedk/Zhu19fPtztM4oufQHwb1V12V19M5rYObRGl0d0yw3VojY/A/xKF423H/Aj2tPp3WkNZ5emdcn9Qfe3fDKtwRAmuH50bquqr/bWr6E17mzZre8BvHrsPO8DfpH2UOT/0Rr5LklyelpX8/v2jrfrLOcdv45t3XXxujzJTbSGpa3Z8Dr2/C7/vWn10yfl07MH8KCxevE9Wr0Y1cG/AY7prjdHj0XK70p70PHjXtoG9TPJH3Xdr67vzvEi1q8XJwIPSTLqenw4rbH45gV5l5pVVZ1O+5zzO8AngN8CPpfkVQBJdu+61X0zyS3cef/aYdYD3nUXjK3vClzd/yxGu1be0c+U5FlpwxOM7n//e6xMH6U9FBl1cz8c+EJVXbJA5dYENla/7oLxLpbXsP5nbOvMMMz3XeuuGP8c/lbgqCSfTXJMkj1623alPbz4QS9ttnvcC5Oc37vHvYz169fJwAOT/Fa3fjjwkar67s9RfkkLyEZBAZxAC98+vHs9m5og7WfdMXtf3kd1LBOU4xXAy4H/BTyO1pD0EVrXndFx/x+ti/FhaWNErZ6nzJquH1XVlb3l6t62H25k39nqS/XTk+xD6wr6cdqH7YfRuu3168tttC6Zh3dd8Q7GxpdFVVVfB75Jexq9L934pNUmM7qgl35etS7cM7S/7cNZvxF5V+7sxjTJ9QNadOl6xel+zvR+/uXYeX6TFil9fVX9lBZxsT/tg/cLgCtG3ZgndHL3Xl5G+/K3Gy0Ktj8e03tp4wLtQ6uTNwD/fBfOocmNvhT369D4MAQztC/Qu40tu9Aa6qiqd9AaCN9LeyD2hSSvnOXYs0pyKK271nG0+rUb8B7Wv15dTWs0OLxrPD8Ar1dLoqp+XFVnVdXRVfVbtN/767qu4WfSHmI8j/a/fUC328bGWLuDDevGbGPZjt8PJ6lPe9N6UpzJnfe/o/rH766vp9Dq02gSOevTFMxTv+7G5PVkfMiT4i58xrbObDLm+641yf1uZL3rTlUdD+xEu+ftAvxbktfNcrxZJTmQ9vDsJOC3afe4d7D+Pe564Axa/boP8FSsX9Ky4OzDAjib9mRwK1oj3M9U1c1JrqF1Q/hUb9M+wKV34RyXAs9Mkt5NbO+xPPsA/1BV7wVIEtqN6ftj+Y4D/rQr72fGIoO0abgU2CHJf62q0ZPQ8frySOCbVfWGUULaoO/jjqONw/Ni4BeAv1vw0mrcaFzB0BrJRs4FHktrFHxLl/alLt/9q+ocZjfJ9WMSFwIPqqor58rQHf+zwGeTHE0bJ+5AWhThZd15+w8iZruO/XFV/SNA2iQl/fEDqaobk3yI1uj5MOCkrkFSC2802/U2tOsAtC8rfaOxbK+rqlvmOlAXhfMu4F1JXkvrUvVGWv18RpK7dw8iYPZ68a9V1R/jcudZTnMc7UvVd2jd0j89/9vTIrmU9hl5N9pnjVdV1TegTUY0lnc01tqqsfTrGfvfp40DdtUE5942yfZV9e0ubU/Wf5D/SFpk2OtHCUkeMMuxjqNdt15MG+/0/Rs5t5bGqH5twVg96cYefBDt3nhXjmedUf9+N3o9fr+bU9c7Zw2wJsmf0cZHfR2tfh2a5Be7B7ww+z3u81XVnyDnV9jQccDf08YnvI7WO0PSlBkpqNGX4N8Edup9oen7X8ArkjwnbUbYo2kDYo8PpD6fd9HGtfibJL+W5Fm0sUz6Lgcel2SfJA+ijR+4Exs6jdbV70X4hGlTdSZwJfDeJA9N8kha1+B+V5jLaQ2Hz0mbafglrD+TNgBVdSmt6/GxwN+NdX/Q4jiH9oFxL3ozmdNmmj6I1tXlHPjZjMWnAid1XZsemGR1klf0vnxPcv2YxNHAf+u6fz4kbWbaZyU5FlokRdoMjw9PsgPtKfb23PkA5K20D8Z/kGTnJH/O2Ax8tHr53CS/nuThtC9Usw3QfhwtSvChdNFoWnjdEBlrgT9PsmuSR9Ea8vpOpnXz/kiSR6XNNPyYJG8dfWlOmzF9/27b7rTJYUb14hRaNMZ7ur/7E2kPrvouB/ZK8oTuPvp6Nqw70AZzv5U2SLtR8IssyX2SfCpthuHf7P6+v0f7+51N+xvfBrykuzY9mTbpVd83aVFbT05y39w56P+ngCcmeWp33XoL7XqyMZ8EvgKckmS3tMkk/jfrR0JfTmsEOrgr14uA54wfqLu+nkf7HGdX9CW2sfrV/T0+BRycNivsg2n/93NFd83FOiNon5u/TYtC3SXJ/rRo0I3q7ncHdHVjN1pE9Oge9z5aXTohyYPTZjx+9dghLgd2T/LE7vPRa2gTyI07izbW92uBE6vqjlnySFpiNgoKgKq6ZZ4b/9toHw6OpQ2Q/7u0AWrX3oXjf4s2RskBtIibl9HNEttzDPAFWvepT9NC20+dray0aK+fYNTXJqmLmno6rdvBF2iNJq9j/W4TH6Z96H0b7Uv/vrQPGbM5vjuWjchL4xza7/s73XiCI+fRojVvZv1xtJ5P+xsfS/ti8zHaLK/fhImvHxtVVWfSxircj1avvtAdZzQO0020aIqP0QZxfzPw+qr6227/D9Dq4RtoURy/wZ0RjyOHA/fo3t/7aV/wrpqlOOfSuhWfO/Y70sI7hFbvLqDNXL3el5nu3rcPbXymD9GiZE6kzcR4U5dtc+Cd3bZ/otXNF3T7f5/WHe83afXir4A/GyvD/6GN1/VBWlflrbu09XTXvpNpUWcnj2/XgvsB7aHRkbSHFl+m/f3eBxzYdXc7lHY/upR2j1lvxvGu2/dradeF62gPNKH974+Wz3Tn+vDGCtR9Sf5d7uzWfgrt89FtvTz/QPtc9je0oQ6eQBs+Yzbe/6Zn3vrV5fmftIbBj9KGkTiPFr08MeuM4Gfdvw8CHkj7rPSXtBmAJzFDuyddSmu4u4527aN7mP4U2lArF9Ie0o/f495N+072PtqsyDsyS/BIF4hyIu2e6gNRaZnI+uO2SytDkk8A66rqD6ZdFi1/SV4NHFxV45PjSFOR5BdoM7v/UVVt8PBDw5XkRNrskb8z7bJo5eu6Ab6gqnaZdlm0MlhntJiSvBP41ap6wrTLIqlxTEGtKGkzdT6eNlD7XRn8XwPUdePaFfgj5o4ilJZMkhngfrRox1tpkWMSaZNa7EXr0vfkKRdHK1x3/3sQLUrtDRvJLllntKi6e9wetOj9DYb7kTQ9NgpqpbkQuDdt0O9Lpl0YLXvvAp5F65bznimXRQLYAfgGrevw86tqtvEGNUxn0rqkv72qzp52YbTivZ3WwHwGrWuftDHWGS2mj9ImwDl+NBmbpOXB7sOSJEmSJEnSwDjRiCRJkiRJkjQwNgpKkiRJkiRJA2OjoCRJkiRJkjQwNgpKkiRJkiRJA2OjoCRJkiRJkjQw/x+vYsIYBUW0wQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Create x axis\n",
    "x_axis = np.arange(len(crime_weekday_df))\n",
    "\n",
    "#Figure Size\n",
    "plt.figure(figsize=(20,8))\n",
    "\n",
    "#Colourmap legend (reverse colour_map: viridis_r)\n",
    "plot = plt.scatter(crime_weekday_df.CCN, crime_weekday_df.CCN, c = crime_weekday_df.CCN, cmap = 'viridis_r')\n",
    "plt.clf()\n",
    "plt.colorbar(plot)\n",
    "\n",
    "#Colourmap (reverse colour map:)\n",
    "colors = cm.viridis_r(crime_weekday_df.CCN / float(max(crime_weekday_df.CCN)))\n",
    "\n",
    "tick_locations = [value+0.4 for value in x_axis]\n",
    "\n",
    "#Plot Graph\n",
    "plt.bar(crime_weekday_df.index, crime_weekday_df.CCN, color=colors, alpha=1.0, align=\"edge\")\n",
    "plt.xticks(tick_locations, crime_weekday_df.index, rotation=0, fontsize=14)\n",
    "plt.ylabel(\"Number of Incidents\", fontsize=14)\n",
    "#plt.xlabel(\"Day in the Month\", fontsize=14)\n",
    "plt.title(\"Incidence of Crime by Weekday (2017)\", fontsize=20, fontweight=\"bold\")\n",
    "plt.xlim(-0.25, len(crime_weekday_df)+0.25)\n",
    "plt.tight_layout()\n",
    "\n",
    "#Export Graph to File\n",
    "plt.savefig(\"Images/Incidence_of_Crime_by_Weekday_2017.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Incidence of Crime by Day of Month (2017): ColorMap Bar Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Groupby 'Start_Date' by day\n",
    "crime_day_df = df_2017.groupby(df_2017[\"Start_Date\"].dt.day)[\"CCN\"].count()\n",
    "crime_day_df = pd.DataFrame(crime_day_df)\n",
    "#crime_day_df.sort_values('CCN', ascending=False, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Create x axis\n",
    "x_axis = np.arange(len(crime_day_df))\n",
    "\n",
    "#Figure Size\n",
    "plt.figure(figsize=(20,8))\n",
    "\n",
    "#Colourmap legend (reverse colour_map: viridis_r)\n",
    "plot = plt.scatter(crime_day_df.CCN, crime_day_df.CCN, c = crime_day_df.CCN, cmap = 'viridis_r')\n",
    "plt.clf()\n",
    "plt.colorbar(plot)\n",
    "\n",
    "#Colourmap (reverse colour map:)\n",
    "colors = cm.viridis_r(crime_day_df.CCN / float(max(crime_day_df.CCN)))\n",
    "\n",
    "tick_locations = [value+0.4 for value in x_axis]\n",
    "\n",
    "#Plot Graph\n",
    "plt.bar(x_axis, crime_day_df.CCN, color=colors, alpha=1.0, align=\"edge\")\n",
    "plt.xticks(tick_locations, crime_day_df.index, rotation=0, fontsize=14)\n",
    "plt.ylabel(\"Number of Incidents\", fontsize=14)\n",
    "plt.xlabel(\"Day in the Month\", fontsize=14)\n",
    "plt.title(\"Incidence of Crime by Day of Month in 2017\", fontsize=20, fontweight=\"bold\")\n",
    "plt.xlim(-0.25, len(crime_day_df)+0.25)\n",
    "plt.tight_layout()\n",
    "\n",
    "#Export Graph to File\n",
    "plt.savefig(\"Images/Incidence_of_Crime_by_Day_2017.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Incidence of Crime by Month of the Year (2017): ColorMap Bar Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "months = ['January', 'February', 'March','April',\n",
    "         'May', 'June', 'July', 'August', 'September',\n",
    "         'October', 'November', 'December']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Groupby 'Start_Date' by Month\n",
    "crime_month_df = df_2017.groupby(df_2017[\"Start_Date\"].dt.month)[\"CCN\"].count()\n",
    "crime_month_df = pd.DataFrame(crime_month_df)\n",
    "#Create Months Column\n",
    "crime_month_df[\"Months\"] = months\n",
    "#Set Months as new Index\n",
    "crime_month_df.set_index('Months', inplace=True)\n",
    "#crime_month_df.sort_values('CCN', ascending=False, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Create x axis\n",
    "x_axis = np.arange(len(crime_month_df))\n",
    "\n",
    "#Figure Size\n",
    "plt.figure(figsize=(20,8))\n",
    "\n",
    "#Colourmap legend (reverse colour_map: viridis_r)\n",
    "plot = plt.scatter(crime_month_df.CCN, crime_month_df.CCN, c = crime_month_df.CCN, cmap = 'viridis_r')\n",
    "plt.clf()\n",
    "plt.colorbar(plot)\n",
    "\n",
    "#Colourmap (reverse colour map:)\n",
    "colors = cm.viridis_r(crime_month_df.CCN / float(max(crime_month_df.CCN)))\n",
    "\n",
    "tick_locations = [value+0.4 for value in x_axis]\n",
    "\n",
    "#Plot Graph\n",
    "plt.bar(crime_month_df.index, crime_month_df.CCN, color=colors, alpha=1.0, align=\"edge\")\n",
    "plt.xticks(tick_locations, crime_month_df.index, rotation=0, fontsize=14)\n",
    "plt.ylabel(\"Number of Incidents\", fontsize=14)\n",
    "#plt.xlabel(\"Day in the Month\", fontsize=14)\n",
    "plt.title(\"Incidence of Crime by Month (2017)\", fontsize=20, fontweight=\"bold\")\n",
    "plt.xlim(-0.25, len(crime_month_df)+0.25)\n",
    "plt.tight_layout()\n",
    "\n",
    "#Export Graph to File\n",
    "plt.savefig(\"Images/Incidence_of_Crime_by_Month_2017.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot Crimes by Offense over Time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Groupby Start Date and Offense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Start_Date</th>\n",
       "      <th>Offense</th>\n",
       "      <th>CCN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-01-01 00:01:38+00:00</td>\n",
       "      <td>THEFT F/AUTO</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-01-01 00:01:46+00:00</td>\n",
       "      <td>BURGLARY</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-01-01 00:30:20+00:00</td>\n",
       "      <td>THEFT F/AUTO</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Start_Date       Offense  CCN\n",
       "0 2017-01-01 00:01:38+00:00  THEFT F/AUTO    1\n",
       "1 2017-01-01 00:01:46+00:00      BURGLARY    1\n",
       "2 2017-01-01 00:30:20+00:00  THEFT F/AUTO    1"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Groupby 'Start_Date' by Month\n",
    "crime_method_df = df_2017.groupby([\"Start_Date\",\"Offense\"]).count()['CCN']\n",
    "crime_method_df = pd.DataFrame(crime_method_df)\n",
    "crime_method_df.reset_index(level=[0,1], inplace=True)\n",
    "crime_method_df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Rename Values for Offense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "crime_method_df.replace('THEFT F/AUTO', 'THEFT AUTO', inplace=True)\n",
    "crime_method_df.replace('THEFT/OTHER', 'THEFT OTHER', inplace=True)\n",
    "crime_method_df.replace('ASSAULT W/DANGEROUS WEAPON', 'ASSAULT WITH DANGEROUS WEAPON', inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create Function to Plot Different Offense over Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotOffenseByMonth(offense, df):\n",
    "\n",
    "    ###Filter by Offense\n",
    "    mask = crime_method_df['Offense'] == offense\n",
    "    crime_method_theft_auto = crime_method_df.loc[mask]\n",
    "    \n",
    "    \n",
    "    ###Aggregate based on Month\n",
    "    sub_df = crime_method_theft_auto.groupby(crime_method_theft_auto[\"Start_Date\"].dt.month)['CCN'].count()\n",
    "    sub_df = pd.DataFrame(sub_df)\n",
    "    #Create Months Column\n",
    "    sub_df[\"Months\"] = months\n",
    "    #Set Months as new Index\n",
    "    sub_df.set_index('Months', inplace=True)\n",
    "    \n",
    "    \n",
    "    ###Plot Graph\n",
    "    x_axis = np.arange(len(sub_df))\n",
    "    plt.figure(figsize=(20,8))\n",
    "\n",
    "    #Colourmap legend (reverse colour_map: viridis_r)\n",
    "    plot = plt.scatter(sub_df.CCN, sub_df.CCN, c = sub_df.CCN, cmap = 'viridis_r')\n",
    "    plt.clf()\n",
    "    plt.colorbar(plot)\n",
    "\n",
    "    #Colourmap (reverse colour map:)\n",
    "    colors = cm.viridis_r(sub_df.CCN / float(max(sub_df.CCN)))\n",
    "    tick_locations = [value+0.4 for value in x_axis]\n",
    "\n",
    "    plt.bar(sub_df.index, sub_df.CCN, color=colors, alpha=1.0, align=\"edge\")\n",
    "    plt.xticks(tick_locations, sub_df.index, rotation=0, fontsize=14)\n",
    "    plt.ylabel(\"Number of Incidents\", fontsize=14)\n",
    "    #plt.xlabel(\"Day in the Month\", fontsize=14)\n",
    "    plt.title(f\"Incidence of {offense} by Month (2017)\", fontsize=20, fontweight=\"bold\")\n",
    "    plt.xlim(-0.25, len(sub_df)+0.25)\n",
    "    plt.tight_layout()\n",
    "\n",
    "    #Export Graph to File\n",
    "    plt.savefig(f\"Images/Offense_Incidence_of_{offense}_by_Month_2017.png\")\n",
    "    plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "offenses = ['THEFT AUTO', 'BURGLARY', 'THEFT OTHER',\n",
    "       'ASSAULT WITH DANGEROUS WEAPON', 'ROBBERY', 'MOTOR VEHICLE THEFT',\n",
    "       'SEX ABUSE', 'HOMICIDE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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jJueo+3Z3P2dyyzDM9xPdvdX511acNrH/jKra5x/Dqup6ozmzJuO7WpL3rRHfPyR5zwZDzNLd38i+P7J/uqq+M7dVVd09+1a9jU/Mv2ivzb7VXw+uqn0WSqmqK2YY4jn+/0H+bMr+/2js8X9mWERhf00mCF9VVZdJYlfV5avqhCnf6xuqqmtlmC9wvL9XdPdaFayz8JCqusLY/vET5ycXazgpwxyQyVBx+Etj5/Z3SO6Kl4zd49KsvwDGisnPwHeqS0eVsuPP65Ik79mfAEf2SdSNhtPPy8fHHt9gtQY1+N8ZFkpZSeydkuSuayXSR1MuvHvs0E+PLaqSJA8ae/yNJG/ZbOAbGF8Q6bwM74WNjD//T5pvD4BlpXIPgDV195er6s+yd6XI703y0ap6dZLPj/Z/OsME+xslWv4qwwq7Vx7tv6iq7pThR9yDskYFSnd/uKrelGGhiyR52mjV2XdnGAp43Qxzg90uw5xSr9vs85zwpiTvz955734myQer6u8z/KC9eYZE5HUyVDa9PMNiDytVT28aLXpxdobqu6MyzIt3s1x29c61PDvDj/IkuXqSf62q/5thQYlHjrX7dvZWUi1cd3+9qn4xQ5Jv12h7c1W9NkPC8upJ7p99VzV9d/auhrtR/++sqntlmAfyP7fph/zLMizYct/R/s2SnF1Vr88wmf+uJDdN8hMZhnxvNaFx59Fqw4dmeA/dK3vnlEuGxTyeuNqFY36hqlZbnfoz3f3XW4jpFkneO6qIvHGGFadXfCHDYjLf0d1fq6qXJnnC6NBK4udj3f2OLdz/MkYL+fxEhgU9vtrda1Xijvu7DJ+3lQrMp1bVzUbHjsm+c/KdtMZiGps1OXz6VVV1eobk4Ru6+z9WuWa7nJa93wO712jz/CSPGdv/VIahuY+u2mfk6le6+8Vj+0/P3pWAb5DknVX1/zLM1Te+avpzJys1q2p8UZHxuK45ce7PJ1/XqvrBjC1QkuQF3f3NNZ7buPGFSLblPQgAByPJPQA28qQk18veH3aHJfn/NttJd3+uqh6T5MUZkl6XT/ILo9MXZqi+WWtxiJ/LkHRbGbL1o6Nt23X3pVV1n9H9VlbgvGX2Jg4m23+1qn46QyLkOhnmI3vIam03EcPJo9VCf2N06KjsW9WSDInNh3b3x3MA6e7XV9WDMlTdXD1DcuwB2TcxsOJvM6x+PDnn43r9r7dy5qaNXu/jMiRUfznDe/NKGYYUP3i9azfp2OybvBj3hiSP6u7VEnfj1lot9x1JtpLce3uSu2XvIgsrLkzyiO7+1irXvDBDsn+88nKaCqupdfd7N9n+kqq6b5I3Z29V6wNXafq2DKtLb4c3ZZgP8LtG+/fJ3urjPdl3MY7t9o8ZkoiHJDmsqm7a3R+baHPrif3vTfKHq/T1qQzfyUmS7v7Hqvq1DJ+HZEjSTSYQX5fkt1fp61fWiPdqE+femMtOnzD+/fbfSf50jb6+Y1SVeaexQ2/a6BoA2KkMywVgXd19YXc/MEOF3muSfCZDxdjXM/xAe0WSD0/Z10syVEm9K0Ny6qsZfpDdJcMP1rWu+2KSO2eoVnlzhqGfF2WYn+7fMgw3e0RW/0G/ad39mQw/aB+d5J8yzPF3cYZKvQ8m+eMMVXwr7f81QyLwNzMM+fvyqP0XkpyZ4cfzvTPMFzhtDE/JsHLvyUk+nSHh8s0MKxv/aZJbd/dr9+Npzkx3vyZDdd6TMySQzsvwen0tw6IML09yTHffe4qE1sx197e7+7EZKtmek6HC6YsZYj43w2v4JxkSYZ/aj1tdmuFzc06GisUXJrldd99nm6rJNuvlGSpiT8vw2nwtQ9XW3br7H1a7oLs/mX0r+i7OZVfZnbtRpdxtMiTE35thaO/FGT67/5jk4UmOHQ173477nZvhb/e2DMmouRkNqx1Pcj9orbZb7P85Gb5vVyq0L8owT+E/ZZhO4f6rLIi0ZVV14wwVvStOnPJ74a7ZWzH9X5moNAWAZVIbTP0DAADfUVXPzN4qwv/X3fddrz3br6qOzd4h4md39/et134nqqoXZVjYJUl+t7t/a5HxAMAiSe4BALCuqjoqw8rRN80wZPNqo1P36O63Lyaq5VZVb83e6Ql+cq1qy52oqg7PMPz50AxVtjeZYlVlANixDMsFAGAjD88wLPNF2ZvYe7XE3kL9aoah3sna8zHuVI/LkNhLkt+W2APgYFRVL62qc6vqrFXO/WpVdVUdNk1fknsAAEzrkgwVU7+X5GGLDWW5dff7u/uQ7q7uvuui45mn7v7N0fOu7n7BouMBgC06Kck9Jw9W1Q0yLMT26Wk7MiwXAAAAAOZsNPXJG7v7VmPHTknyO0len2T3NAuvXW5WAc7SYYcd1kcdddSiwwAAAAA4YL3vfe87v7sPX3QcB5rD6jp9YS6c6T3+O1/6tyTfGjt0YnefuN41VXXvJJ/t7g9W1dT3OiiTe0cddVTOOOOMRYcBAAAAcMCqqk8tOoYD0YW5MHeoY2Z6j3/sU77V3bunbV9VhyZ5apIf3+y9zLkHAAAAAIt14yQ3TPLBqtqT5PpJzqyq62x04UFZuQcAAAAAW1Yzrnfb5BIX3f3hJEes7I8SfFPNuadyDwAAAADmqKpOTnJ6kqOr6pyqetRW+1K5BwAAAMBSqV3TL1ixJZeuf7q7j9vg/FHT3krlHgAAAAAcpFTuAQAAALA8qmY/594c7ZxnAgAAAABLRuUeAAAAAEujMoc59+ZI5R4AAAAAHKRU7gEAAACwXMy5BwAAAAAsmso9AAAAAJZHJTHnHgAAAACwaCr3AAAAAFgilZTKPQAAAABgwVTuAQAAALBUatfOqXfbOc8EAAAAAJaMyj0AAAAAlos59wAAAACARVO5BwAAAMDyqErMubd5VfXSqjq3qs5a5dyvVlVX1WHzigcAAAAADnbzTFOelOSekwer6gZJjk3y6TnGAgAAAMCyqprtNkdzS+5192lJLljl1POSPClJzysWAAAAANgJFjrnXlXdO8lnu/uDtUFWs6pOSHJCkhx55JFziA4OPsfueuCiQzggnXrpqxcdAgAAAAeSXVbL3W9VdWiSpyZ52jTtu/vE7t7d3bsPP/zw2QYHAAAAAAeBRVbu3TjJDZOsVO1dP8mZVXX77v7CAuMCAAAAYKeqpGrnrJa7sORed384yREr+1W1J8nu7j5/UTEBAAAAwMFkbmnKqjo5yelJjq6qc6rqUfO6NwAAAAAMaphzb5bbHM2tcq+7j9vg/FFzCgUAAAAAdoSFrpYLAAAAAHNXVssFAAAAABZM5R4AAAAAy0XlHgAAAACwaCr3AAAAAFgelWTXzql32znPBAAAAACWjMo9AAAAAJZImXMPAAAAAFg8lXsAAAAALBeVewAAAADAoqncAwAAAGC5qNwDAAAAABZN5R4AAAAAy6OS7FK5BwAAAAAsmMo9AAAAAJaLOfcAAAAAgEVTuQcAAADAEqmkdk692855JgAAAACwZFTuAQAAALA8rJYLAAAAABwIVO4BAAAAsFyslgsAAAAALJrKPQAAAACWi8o9AAAAAGArquqlVXVuVZ01dux3qupDVfWBqnpLVV13mr4k9wAAAABYIjVU7s1y29hJSe45cezZ3X3r7v6BJG9M8rRpOpLcAwAAAIA56u7TklwwceyrY7tXSdLT9GXOPQAAAACWRyXZNfM59w6rqjPG9k/s7hM3uqiqnpnkYUm+kuQe09xI5R4AAAAAbK/zu3v32LZhYi9Juvup3X2DJK9M8svTXCO5BwAAAMByWfycext5VZL7T9NQcg8AAAAAFqyqbjq2e+8kH53mOnPuAQAAALBUenuq67asqk5OcvcMc/Odk+TpSX6qqo5OcmmSTyX5pWn6ktwDAAAAgDnq7uNWOfySrfQluQcAAADActlBE9XtoKcCAAAAAMtF5R4AAAAAy6OyXSvaHhBU7gEAAADAQUrlHgAAAABLpFTuAQAAAACLp3IPAAAAgOWicg8AAAAAWDSVewAAAAAslVa5BwAAAAAsmso9AAAAAJZHZUeVu+2gpwIAAAAAy0XlHgAAAADLxZx7AAAAAMCiqdwDAAAAYLmo3AMAAAAAFk3lHgAAAABLo1NplXsAAAAAwKKp3AMAAABgeVR2VLnbDnoqAAAAALBcVO4BAAAAsFzMuQcAAAAALJrKPQAAAACWitVyAQAAAICFU7kHAAAAwHLZOYV7KvcAAAAA4GClcg8AAACA5WLOPQAAAABg0eaW3Kuql1bVuVV11tixZ1fVR6vqQ1X1uqq6xrziAQAAAGAJVdK7ZrvN0zxvd1KSe04cOzXJrbr71kn+I8lvzDEeAAAAADiozS25192nJblg4thbuvvi0e57klx/XvEAAAAAsKSqZrvN0YE0594jk7xp0UEAAAAAwMHigFgtt6qemuTiJK9cp80JSU5IkiOPPHJOkQEAAACw0/TOWSx38ZV7VXV8knsl+Z/d3Wu16+4Tu3t3d+8+/PDD5xcgAAAAABygFlq5V1X3TPLkJHfr7m8sMhYAAAAAlsH858WbpblV7lXVyUlOT3J0VZ1TVY9K8idJrprk1Kr6QFX9xbziAQAAAICD3dwq97r7uFUOv2Re9wcAAACA1GjbIRY+5x4AAAAAsDUHxGq5AAAAADAvbc49AAAAAGDRVO4BAAAAsFx2ULnbDnoqAAAAALBcVO4BAAAAsDQ65twDAAAAAA4AKvcAAAAAWB412nYIlXsAAAAAcJBSuQcAAADAUmmVewAAAADAoknuAQAAALBcqma7bXj7emlVnVtVZ40de3ZVfbSqPlRVr6uqa0zzVCT3AAAAAGC+Tkpyz4ljpya5VXffOsl/JPmNaTqS3AMAAABgqXTNdtvw/t2nJblg4thbuvvi0e57klx/muciuQcAAAAA2+uwqjpjbDthk9c/MsmbpmlotVwAAAAAlsvsV8s9v7t3b+XCqnpqkouTvHKa9pJ7AAAAAHAAqKrjk9wryTHd3dNcI7kHAAAAwPKoJLtmX7q3WVV1zyRPTnK37v7GtNeZcw8AAAAA5qiqTk5yepKjq+qcqnpUkj9JctUkp1bVB6rqL6bpS+UeAAAAAEtlmhVtZ3r/7uNWOfySrfSlcg8AAAAADlIq9wAAAABYLgfelHtbpnIPAAAAAA5SKvcAAAAAWCqLnnNvO6ncAwAAAICDlMo9AAAAAJZH1bDtECr3AAAAAOAgpXIPAAAAgKXRMeceAAAAAHAAULkHAAAAwHJRuQcAAAAALJrKPQAAAACWijn3AAAAAICFU7kHAAAAwPKoJLVzSvdU7gEAAADAQUrlHgAAAABLxZx7AAAAAMDCqdwDAAAAYLmo3AMAAAAAFk3lHgAAAABLpXdQudsOeioAAAAAsFxU7gEAAACwPCrm3AMAAAAAFk/lHgAAAABLpVXuAQAAAACLpnIPAAAAgOVSO6d0T+UeAAAAABykVO4BAAAAsDQ65twDAAAAAA4AKvcAAAAAWC4q9wAAAACARVO5BwAAAMDyKHPuAQAAAAAHAJV7AAAAACwXlXsAAAAAwKKp3AMAAABgqZhzDwAAAABYOJV7AAAAACwXlXsAAAAAwKKp3AMAAABgqZhzDwAAAABYuLkl96rqpVV1blWdNXbsWlV1alV9bPTfa84rHgAAAACWUM1hm6N5Vu6dlOSeE8d+Pclbu/umSd462gcAAAAApjC35F53n5bkgonD90ny8tHjlyf5mXnFAwAAAMBy6qqZbvO06AU1vru7P58k3f35qjpirYZVdUKSE5LkyCOPnFN4AACwHO7wc89ddAgHrPf+1RP3uw9/37Vtx98XYJkdNAtqdPeJ3b27u3cffvjhiw4HAAAAgIOVOfe2zX9V1fckyei/5y44HgAAAAA4aCw6ufeGJMePHh+f5PULjAUAAACAHa6TdM12m6e5Jfeq6uQkpyc5uqrOqapHJfmDJMdW1ceSHDvaBwAAAIAdq6peWlXnVtVZY8ceWFX/VlWXVtXuafua24Ia3X3cGqeOmVcMAAAAADDvefFWcVKSP0nyirFjZyW5X5IXbaajRa+WCwAAAABLpbtPq6qjJo59JEmqNpd5lNwDAAAAYHnMZ0Xbw6rqjLH9E7v7xFncSHIPAAAAALbX+ancmvAAACAASURBVN099bx5+0NyDwAAAIClMu8VbWdpbqvlAgAAAADbS3IPAAAAgOVSM942un3VyUlOT3J0VZ1TVY+qqvtW1TlJ7pTk76rqzdM8FcNyAQAAAGCOuvu4NU69brN9Se4BAAAAsFTMuQcAAAAALJzKPQAAAACWi8o9AAAAAGDRVO4BAAAAsDzKnHsAAAAAwAFA5R4AAAAAy0XlHgAAAACwaCr3AAAAAFguKvcAAAAAgEXbcuVeVV2+uy/azmAAAAAAYNaWbrXcqnpsVd1/bP8lSb5ZVf9eVUfPLDoAAAAAYE3TDst9bJLzkqSq7prkQUl+NskHkvzRbEIDAAAAgBmoGW9zNO2w3Osl2TN6/NNJXt3df1NVH07yzlkEBgAAAACsb9rKva8mOXz0+Ngkbx09vijJlbY7KAAAAACYhZ7DNk/TVu69JcmLq+r9SW6S5E2j49+X5JOzCAwAAAAAWN+0lXv/K8m7khyW5AHdfcHo+G2TnDyLwAAAAABg2816vr0Dcc697v5qksescvzp2x4RAAAAADCVqSr3quqSqjpilePXrqpLtj8sAAAAAJiRHVS5N+2w3LXCumKSC7cpFgAAAABgE9YdlltVTxw97CS/VFVfGzt9SJIfSfLRGcUGAAAAANuu51xdN0sbzbm3Ms9eJfn5JONDcC9MsifJL21/WAAAAADARtZN7nX3DZOkqt6W5H7d/aW5RAUAcJC5zeOet+gQDlgffP4TFh0CAMC+lqhyL0nS3feYdSAAAAAAwOZMldxLkqp6cJJjkhyRiYU4uvve2xwXAAAAAMzEMs25lySpqmcneXyStyX5XIYFNgAAAACABZq2cu9hSY7r7lNmGQwAAAAAzFRlR825t2vjJt9p94FZBgIAAAAAbM60yb0Tkzx0loEAAAAAwFzUjLc5mnZY7jWS/GxVHZvkQ0kuGj/Z3Y/d7sAAAAAAgPVNm9y7ZfYOy735xDmLawAAAABw0Fi61XK7+x6zDgQAAAAA2Jxp59xLklTVYVV1h6q64qwCAgAAAICZ2kFz7k2V3Kuqq1bVq5Ocm+TdSa43Ov4XVfWM2YUHAAAAAKxl2sq9ZyW5bpLbJvnm2PE3JrnvdgcFAAAAADOzgyr3pl1Q495J7tvdH6iq8QU0PpLkRtsfFgAAAACwkWmTe9dM8sVVjl81ySXbFw4AAAAAzFDtrNVypx2W+68ZqvdWrFTv/WKGOfgAAAAAgDmbtnLvKUneXFXfN7rmiaPHt09y11kFBwAAAADbbtkq97r73UnunOQKST6R5Jgkn0typ+4+c3bhAQAAAABrmbZyL9394STHzzAWAAAAAJipzs6ac2/N5F5VHTltJ9396e0JBwAAAACY1nqVe3uyd+GMjRyy/6EAAAAAwBwsQ+VektuNPb5Zkj9M8hdJTh8du1OG1XKfPJvQAAAAAID1rJnc6+73rTyuqucmeUJ3nzLW5J+q6t+TPC7JybMLEQAAAAC20Q6q3Jtqtdwkt0/yoVWOfyjJD21fOAAAAADAtKZN7u1J8uhVjj86yae2LRoAAAAAmKUaVsud5TZP6825N+4JSV5XVfdM8p7RsTskOSrJ/WYQFwAAAACwgakq97r7HzIsqvHaJFdLcvXR45t195tmFx4AAAAAbLOa8bbR7ateWlXnVtVZY8euVVWnVtXHRv+95jRPZdphuenuz3T3U7r7ft193+5+and/ZtrrAQAAAIAkyUlJ7jlx7NeTvLW7b5rkraP9Da05LLeqbpvkA9196ejxmrr7zGluBgAAAADLrrtPq6qjJg7fJ8ndR49fnuTtSZ68UV/rzbl3RpLrJDl39LizemFhJzlkoxsBAAAAwJI4rKrOGNs/sbtP3OCa7+7uzydJd3++qo6Y5kbrJfdumOS8sccAAAAAcNCbw4q253f37pnfJesk97r7U6s9BgAAAAC23X9V1feMqva+J8No2g1NtaBGVf1yVT10leMPrapHbzLQ1fp/QlX9W1WdVVUnV9WV9rdPAAAAAFjVglfLXcMbkhw/enx8ktdPc9G0q+U+PslqK+PuSfKEKftYVVVdL8ljk+zu7ltlmL/vIfvTJwAAAAAcqKrq5CSnJzm6qs6pqkcl+YMkx1bVx5IcO9rf0Hpz7o27fpLVhuaeMzq3vy6X5MpVdVGSQ5N8bhv6BAAAAIDLmv2ce+vq7uPWOHXMZvuaNrn3hSQ/kKFSb9xtk5y/2ZuO6+7PVtVzknw6yTeTvKW73zLZrqpOSHJCkhx55JH7c0sAWEo3f8bzFh3CAeujz9ivgQgAALAw0w7LfVWSF1TVsVV1+dH240n+OMkr9yeAqrpmkvtkWJH3ukmustr8ft19Ynfv7u7dhx9++P7cEgAAAIBlVcNqubPc5mna5N7Tk7wryZuTfGO0vSnJu5P81n7G8GNJPtnd53X3RUlem+TO+9knAAAAAOx4Uw3LHSXdjquqpyX5wdHhM7v749sQw6eT3LGqDs0wLPeYJGdsQ78AAAAAcFkLnnNvO007516SpLs/luRj2xlAd7+3qk5JcmaSi5O8P8mJ23kPAAAAANiJpk7uVdWDM1TVHZGJ4bzdfe/9CaK7n55h6C8AAAAAzNS858WbpamSe1X17CSPT/K2JJ9L0rMMCgAAAADY2LSVew9Lclx3nzLLYAAAAABg5nZQ5d60q+XuSvKBWQYCAAAAAGzOtMm9E5M8dJaBAAAAAMBcVM92m6Nph+VeI8nPVtWxST6U5KLxk9392O0ODAAAAABY37TJvVtm77Dcm0+cs7gGAAAAAAeFriVcLbe77zHrQAAAAACAzZm2cg8AAAAAdoZlqdyrqhdM04k59wAAAABg/jaq3Pv+Kfow5x4AAAAAB49lqdwz1x4AAAAAHLjMuQcAAADAUtlJq+XuWnQAAAAAAMDWqNwDAAAAYLmo3AMAAAAAFm3N5F5VvbSqrjp6fNeqUuUHAAAAwMGt5rDN0XqVew9NcpXR47cludbswwEAAAAAprVeNd6eJI+pqrdkyDneqaq+tFrD7j5tBrEBAAAAwParXnQE22a95N6vJXlxkt9I0klet0a7TnLINscFAAAAAGxgzeRed78+yeur6hpJLkjyfUnOnVdgAAAAADALvYNWy91wkYzu/nJV3SPJx7r74jnEBAAAAABMYaoVcLv7HVV1xap6WJJbZhiKe3aSV3X3t2cZIAAAAACwuvVWy/2Oqrplkv9I8twkd0hyxyTPS/IfVXWL2YUHAAAAAKxlquRekucn+UCSI7v7R7r7R5IcmeSDSf54VsEBAAAAwLarGW9zNNWw3CQ/nOR23f3VlQPd/dWqemqS98wkMgAAAABgXdMm976V5BqrHL/66BwAAAAAHBR20mq50w7L/dskL66qH66qQ0bbXZK8KMkbZhceAAAAALCWaSv3Hpfk5UnemeSS0bFdGRJ7j59BXAAAAACw/SpJ9aKj2DZTJfe6+8tJ7lNVN0lyiwx/hrO7++OzDA4AAAAAWNu0lXtJklEyb8cm9G70/OcuOoQD1n8+7omLDgEAWHL+v9rq/P80YB58B6/N9/BBagnn3AMAAAAADjCbqtwDAAAAgIOeyj0AAAAAYNE2TO5V1eWq6tFVdd15BAQAAAAAM1Uz3uZow+Red1+c5NlJLj/7cAAAAACAaU075957ktw2yadmGAsAAAAAzFgn1YsOYttMm9x7cZI/qqrvTfK+JF8fP9ndZ253YAAAAADA+qZN7r1q9N/nrnKukxyyPeEAAAAAwAwtYF68WZo2uXfDmUYBAAAAAGzaVMm97jbXHgAAAAA7Qu+gyr0NV8tdUVU/WVVvrKqzq+oGo2M/X1XHzC48AAAAAGAtUyX3qup/JvmbJB/LMET38qNThyR50mxCAwAAAIAZqJ7tNkfTVu49KckvdPcTklw8dvw9SX5g26MCAAAAgB2sqh5XVWdV1b9V1eO32s+0yb2bJjl9leNfS3K1rd4cAAAAAOauZrxtdPuqWyX5hSS3T3KbJPeqqptu5alMm9z7XJKbrXL8rkk+sZUbAwAAAMCSukWS93T3N7r74iTvSHLfrXQ0bXLvxCQvqKofHu3foKqOT/KHSf58KzcGAAAAgEWomu2W5LCqOmNsO2EihLOS3LWqrl1Vhyb5qSQ32Mpzudw0jbr7D6vq6klOTXKlJG9L8u0kz+nuP93KjQEAAABghzq/u3evdbK7P1JVz8qQa/takg9m33UupjZVcm9006dW1TOT3DJDxd/Z3f21rdwUAAAAABaiMvcVbVfT3S9J8pIkqarfS3LOVvqZOrm3ct8k3xo9vmQrNwQAAACAZVdVR3T3uVV1ZJL7JbnTVvqZKrlXVVdM8qwkv5jkChlynN+uqhOTPLm7v7Xe9QAAAABwwJhiRds5eE1VXTvJRUn+V3d/aSudTFu59+dJfjzJzyc5fXTsTkl+P8lVkzxyKzcHAAAAgGXU3T+yHf1Mm9x7YJL7dfepY8f+s6rOTfKaSO4BAAAAcLA4MCr3tsWuKdt9PclnVzn+2STf3L5wAAAAAIBpTZvce2GSp1fVlVcOjB7/1ugcAAAAABwkesbb/Kw5LLeq3jBx6O5JPltVHxrtf//o+qvMJjQAAAAAYD3rzbn3xYn910zsf3KbYwEAAACA2dtBc+6tmdzr7kfMMxAAAAAAYHOmXS0XAAAAAA5+lVTNd168WZoquVdV10zyjCT3SHJEJhbi6O4jtj0yAAAAAGBd01buvSLJ9yV5eZL/yryX/QAAAACA7bIMc+5NuHuSu3X3mbMIoqqukeQvk9wqQ+Lwkd19+izuBQAAAAA7xbTJvU9kYijuNnt+kn/o7gdU1RWSHDrDewEAAACwtHpHzbk3bcLucUl+v6puU1WHbGcAVXW1JHdN8pIk6e4Lu/vL23kPAAAAANiJpk3ufTzJlZOcmeTCqrpkfNvPGG6U5LwkL6uq91fVX1bVVfazTwAAAABYXc14m6Nph+WenOTqSR6b7V9Q43JJbpvkMd393qp6fpJfT/Jb442q6oQkJyTJkUceuY23BwAA4GB31Cv+YNEhHJD2POzXFx0CMGPTJvd2J7l9d581gxjOSXJOd793tH9KhuTePrr7xCQnJsnu3bt3zsBoAAAAAOaqdtBqudMOyz07ydVmEUB3fyHJZ6rq6NGhY0b3AwAAAADWMW3l3m8meW5V/WaSDye5aPxkd1+wn3E8JskrRyvl/meSR+xnfwAAAABwWZVkB62WO21y7+9H/31L9p1vr0b7+7WCbnd/IMPQXwAAAABgStMm9+4x0ygAAAAAYA4qSS1b5V53v2PWgQAAAAAAmzNVcq+qbrve+e4+c3vCAQAAAIDZ2kmr5U47LPeMDHPrjT/18frF/ZpzDwAAAADYvGmTezec2L98kh9M8tQkv7GtEQEAAADADC3jnHufWuXwx6vqK0menuRN2xoVAAAAALChaSv31vLJJD+wHYEAAAAAwFws25x7VXWtyUNJvifJM5L8+zbHBAAAAABMYdrKvfOz7wIayZDg+0ySB29rRAAAAAAwK7WEc+4lucfE/qVJzkvy8e6+eHtDAgAAAACmMe2CGu+YdSAAAAAAMA87aMq99ZN7q8y1t6ruvmB7wgEAAAAAprVR5d5qc+1N6in6AQAAAICFq/RSzbk3OdfeuHsmeVwSc+4BAAAAwAKsm9xbba69qrptkmcluWuSFyX5ndmEBgAAAADbbydV7u2atmFV3bCqXpXkvUkuSHLL7n5sd583s+gAAAAAgDVtOFdeVV07ydOS/FKSdyW5U3efMevAAAAAAGAWagctl7tu5V5VPSXJJ5LcLcl9uvtHJfYAAAAA4MCwUeXe7yb5ZpJzkjy6qh69WqPuvvd2BwYAAAAAs7BrB825t1Fy7xVJds6zBQAAAIAdZKPVch8+pzgAAAAAYOaqlnS1XAAAAADgwLLharkAAAAAsJOo3AMAAAAAFk7lHgAAAABLpWrREWwflXsAAAAAcJBSuQcAAADAEunsMuceAAAAALBoKvcAAAAAWBoVq+UCAAAAAAcAlXvMza3/9mmLDuGA9aGf/u1Fh8AUvIfXth3vYX/ftfmOAACA7bUri6/cq6onJPn5JJ3kw0ke0d3f2mw/KvcAAAAAYI6q6npJHptkd3ffKskhSR6ylb5U7gEAAACwPCqpWnQQSYa83JWr6qIkhyb53FY6UbkHAAAAANvrsKo6Y2w7Yfxkd382yXOSfDrJ55N8pbvfspUbqdwDAAAAYGlUkl2zXy33/O7evWYMVddMcp8kN0zy5SSvrqqHdvf/2eyNVO4BAAAAwHz9WJJPdvd53X1RktcmufNWOlK5BwAAAMBSqdlX7m3k00nuWFWHJvlmkmOSnLGVjlTuAQAAAMAcdfd7k5yS5MwkH86QoztxK32p3AMAAABgifQ85tzbOIrupyd5+v72o3IPAAAAAA5SKvcAAAAAWCoHwJx720blHgAAAAAcpFTuAQAAALA0qnJAzLm3XVTuAQAAAMBBSuUeAAAAAEtlV1TuAQAAAAALpnIPAAAAgKVitVwAAAAAYOFU7gEAAACwNCpttVwAAAAAYPFU7gEAAACwVFTuAQAAAAALp3IPAAAAgKVRUbkHAAAAABwAVO4BAAAAsDxK5R4AwP/f3p3HyVLVdx//fOcioKAxEVwiIgpJXBMXgia4PkrEuD0anrgEjRolrsGID6IBg0TjEp5ojGACKKiguCAuuEURgiaIICAqCIICAlEh0ciOhN/zx6nm9u07d+7M3OmpnunP+/Wa173dVV19+tSpU6dO/eocSZIkSRPAyD1JkiRJkiRNlRmM3JMkSZIkSZLUMyP3JEmSJEmSNDVCOeaeJEmSJEmSpP4ZuSdJkiRJkqSpYuTeGCRZk+SsJCf0nRZJkiRJkiRpJZikyL29gfOAO/SdEEmSJEmSJK1Owci9JZdkO+BJwBF9p0WSJEmSJElaKSYlcu+dwL7A7Te0QpK9gL0Att9++2VKliRJkiRJklYbI/eWUJInAz+tqm/OtV5VHVZVO1fVzttuu+0ypU6SJEmSJEmaXJMQubcr8NQkfwhsCdwhydFVtWfP6ZIkSZIkSdIqE2AGI/eWTFW9rqq2q6odgGcBX7FjT5IkSZIkSdq4SYjckyRJkiRJkpZHalWNuTdRnXtVdTJwcs/JkCRJkiRJklaEierckyRJkiRJksZtJrf0nYQl0/uYe5IkSZIkSZIWx8g9SZIkSZIkTY3Aqhpzz8g9SZIkSZIkaYUyck+SJEmSJElTZQYj9yRJkiRJkiT1zMg9SZIkSZIkTY1QjrknSZIkSZIkqX9G7kmSJEmSJGmqzOSWvpOwZIzckyRJkiRJklYoI/ckSZIkSZI0NRJY45h7kiRJkiRJkvpm5J4kSZIkSZKmygxG7kmSJEmSJEnqmZF7kiRJkiRJmiLlbLmSJEmSJEmS+mfkniRJkiRJkqZGgBlny5UkSZIkSZK0GEl+K8nZQ3+/SPKqxWzLyD1JkiRJkiRNlTU9z5ZbVecDDwJIsga4HDh+Mdsyck+SJEmSJEnqz+OAi6rqksV82Mg9SZIkSZIkTY0sz2y52yQ5Y+j1YVV12AbWfRbw4cV+kZ17kiRJkiRJ0tK6qqp23thKSTYHngq8brFfZOeeJEmSJEmSpsoEzZb7RODMqvrJYjfgmHuSJEmSJElSP57NJjySC0buSZIkSZIkaYoksGYCIveS3A7YDfjzTdmOnXuSJEmSJEnSMquq64A7bep27NyTJEmSJEnSVJlh7LPlLhvH3JMkSZIkSZJWKCP3JEmSJEmSNDVCTdJsuZvMyD1JkiRJkiRphTJyT5IkSZIkSVNljWPuSZIkSZIkSeqbkXuSJEmSJEmaGgHH3JMkSZIkSZLUPyP3JEmSJEmSNEWKNXHMPUmSJEmSJEk9M3JPkiRJkiRJUyPADI65J0mSJEmSJKlnRu5JkiRJkiRpqjjmniRJkiRJkqTeGbknSZIkSZKkqZEUM0buSZIkSZIkSeqbkXuSJEmSJEmaKmucLVeSJEmSJElS34zckyRJkiRJ0tQIOOaeJEmSJEmSpP4ZuSdJkiRJkqQpUo65J0mSJEmSJKl/Ru5JkiRJkiRpajjmniRJkiRJkqSJYOSeJEmSJEmSpsoajNyTJEmSJEmS1DMj9yRJkiRJkjQ1QjETZ8uVJEmSJEmS1DMj9yRJkiRJkjRVHHNPkiRJkiRJUu+M3JMkSZIkSdLUCLAmRu5JkiRJkiRJ6pmRe5IkSZIkSZoixQzOlitJkiRJkiSpZ0buSZIkSZIkaWokjrm3pJLcI8lJSc5L8t0ke/edJkmSJEmSJGklmITIvZuBfarqzCS3B76Z5EtVdW7fCZMkSZIkSdLqM4ORe0umqv6jqs7s/n81cB5w935TJUmSJEmSJE2+SYjcu1WSHYAHA6fNsmwvYC+A7bffflnTJUmSJEmSpNUhFGvibLlLLsnWwHHAq6rqF6PLq+qwqtq5qnbedtttlz+BkiRJkiRJ0oSZiMi9JLehdewdU1Wf6Ds9kiRJkiRJWp0CrHHMvaWTJMB7gfOq6u/7To8kSZIkSZK0UkxC5N6uwHOBbyc5u3vv9VX1uR7TJEmSJEmSpFVqJqsncq/3zr2q+hotIlKSJEmSJEnSAvTeuSdJkiRJkiQtl1COuSdJkiRJkiSpf0buSZIkSZIkaaqsSfWdhCVj5J4kSZIkSZK0Qhm5J0mSJEmSpKkRYGYCxtxLckfgCOABQAEvrKpTF7odO/ckSZIkSZKk5fcPwBeqao8kmwO3W8xG7NyTJEmSJEnSFCnWpN/IvSR3AB4FPB+gqm4CblrMthxzT5IkSZIkSVpa2yQ5Y+hvr5Hl9wauBI5MclaSI5JstZgvMnJPkiRJkiRJUyPAmvGPuXdVVe08x/LNgIcAr6yq05L8A7AfcMBCv8jIPUmSJEmSJGl5XQZcVlWnda8/TuvsWzAj9yRJkiRJkjRVZqhev7+qfpzkR0l+q6rOBx4HnLuYbdm5J0mSJEmSJC2/VwLHdDPl/gB4wWI2YueeJEmSJEmSpkbS/2y5AFV1NjDXuHzz4ph7kiRJkiRJ0gpl5J4kSZIkSZKmypqex9xbSkbuSZIkSZIkSSuUkXuSJEmSJEmaGgFm6H/MvaVi5J4kSZIkSZK0Qhm5J0mSJEmSpCkyGbPlLhUj9yRJkiRJkqQVysg9SZIkSZIkTY3gbLmSJEmSJEmSJoCRe5IkSZIkSZoqMzFyT5IkSZIkSVLPjNyTJEmSJEnS1AjFGpwtV5IkSZIkSVLPjNyTJEmSJEnS1HC2XEmSJEmSJEkTwcg9SZIkSZIkTRVny5UkSZIkSZLUOyP3JEmSJEmSNDUcc0+SJEmSJEnSRDByT5IkSZIkSVPFyD1JkiRJkiRJvTNyT5IkSZIkSVMjwEz6TsXSMXJPkiRJkiRJWqGM3JMkSZIkSdIUKcfckyRJkiRJktQ/I/ckSZIkSZI0NcLqinZbTb9FkiRJkiRJmipG7kmSJEmSJGl6BNY4W64kSZIkSZKkvhm5J0mSJEmSpKkRwhpWT+iekXuSJEmSJEnSCmXkniRJkiRJkqbKaop2W02/RZIkSZIkSZoqRu5JkiRJkiRpagRYE8fckyRJkiRJktQzI/ckSZIkSZI0VWacLVeSJEmSJElS34zckyRJkiRJ0tQIsMbIPUmSJEmSJEl9M3JPkiRJkiRJU8Ux9yRJkiRJkiT1zsg9SZIkSZIkTY0Q1sTIPUmSJEmSJEk9M3JPkiRJkiRJU2VmFcW7rZ5fIkmSJEmSJE0ZI/ckSZIkSZI0NYKz5UqSJEmSJEmaAEbuSZIkSZIkaYqENVk98W4T8UuS7J7k/CQXJtmv7/RIkiRJkiRJ45Tk4iTfTnJ2kjMWu53eI/eSrAEOAXYDLgNOT/Lpqjq335RJkiRJkiRptWlj7k1EvBvAY6vqqk3ZwCT8kl2AC6vqB1V1E3As8LSe0yRJkiRJkiRNvFRVvwlI9gB2r6oXda+fCzysql4xst5ewF7dy98Czl/WhC6/bYBN6rnVRpnH42X+jpf5O37m8XiZv+NnHo+X+Tte5u/4mcfjZf6Ol/k7f/esqm37TsSkSfIFWjkapy2BG4ZeH1ZVh42k44fAz4AC/nl0+Xz1/lguzDr38Ho9jt0PXNSPXImSnFFVO/edjtXMPB4v83e8zN/xM4/Hy/wdP/N4vMzf8TJ/x888Hi/zd7zMX22qqtq97zR0dq2qK5LcGfhSku9V1SkL3cgkPJZ7GXCPodfbAVf0lBZJkiRJkiRp7Krqiu7fnwLH04auW7BJ6Nw7HfiNJPdKsjnwLODTPadJkiRJkiRJGoskWyW5/eD/wB8A31nMtnp/LLeqbk7yCuCLwBrgfVX13Z6TNQmm5hHkHpnH42X+jpf5O37m8XiZv+NnHo+X+Tte5u/4mcfjZf6Ol/mr1eAuwPFJoPXPfaiqvrCYDfU+oYYkSZIkSZKkxZmEx3IlSZIkSZIkLYKde5IkSZIkSdIKZeeeVrQkOySpJE6DvgokOSrJCX2nYzVI8vwk12zotaTVL8mBSRY1KLO00tmmWDjb1f1L8phuH2zTd1pWI9vDWs3s3FsEGwtLq8vPmuXvQX2nbZoM7YcjZln29m6Z5X4Mkjw4yf8k+bcl3OxHgHsv4fZWNMv3+HhOXD7m9eKMqY5dUkkuTvKaHr9/2ySHdum4MclPkpyYZLcl/A4vqucpyd2THJbksiQ3Jbk8yeFJtpvn56e2k27ofL//yPt2mi2Bkeu2Xyb5aZKTkrw8yW36Tp80zezcW8WSbJZu2pUV4MvA3Ub+xhZtMM6TT5LNx7XtZfAj4JndNNxAK0fAc4FLN2XDKzxfxu3FwKHAA5Lcd1M3luQ2VXV9Vf1005O2qoytfEuaaEtax65SxwG7AH8G/CbwZODzwJ36TNQkGncHRpJ7AWcADwD+FNgJ2BO4P3B6kh3G+f3j0EMb8AZg9sReFQAAFEJJREFU3yTbLvP3Tqwl3geD67YdgD8APgO8EfjqcBtrmnido0lg594mSvK7Sf4lyVVJfpHka0l+b2SdSrJXko8luTbJD5LsObR81rtr3Xt7DL1+a5Lzk1zf3Vl9e5Ith5YfmOQ73Z3Ri4Abgecm+c8kW4xs+5gkn17q/NgEN1bVj0f+bk6zb5KLut/97eG8G/KbXd7fkOR7Sf5gsGDoTt0fJvlGkpuAJ2SWx5VG7yon2THJp5L8uNt3ZyZ58shnLu629b4kPweOSfKVJO8eWe8OSa5L8owlybHxOAf4PvDHQ+89idZIOnnwxgLK/cuTfCLJtcDfdu/fJ8mnk/x3kmuSnJrkgSOf3bu7S/2zJEcmud2Yfm/vktwWeA5wOPBx2oXVYNmgbnjOIsq3ERLrW5Ly3R3r60RPJZlJcmmSV4/3J0y2zBJZNlrXDtaZ6zhfQN0/teaT1yPLHpUWZXHXkfffnOSccaa1T/OsYzfW/npYd/6/IclZXX1bSR7TLV8vImh020luk+RdSa5Ii4z7UZK3dstOBu4J/F33mRpXfswmyR2BRwL7VdWJVXVJVZ1eVQdX1bHdOpsneVtaJNm1SU5P8oShbQzy4MlJzu7y6ptJHjpYDhwJbJW1UT8HLnDbT+y2eX2SrybZLsmjk3yra0+ckGS9zsgk+6dFIl7T1TW3HVo2Z10ztB+fnda2ux748yXeBaMOAW4BHt/tj0ur6iTg8d37hwylfZ8k3+/K1GVJ3tJt44fdv6d36T+5+8xMkgO68ndj93ufNksaNtiu7rZzvySfTXJ1WuTWh4frlqyt51+b5DLgsqXMoHk4CbgYOGBDK3R14mndb/xJknek66BJ8ufde5uNfOZDST419PopXZm8IckP0+rTzYeWX5zkDV1+XN3l+zOT3DHJsV2Z/P5o/nYePtuxNLTt30/yr2nXFpcneU+SOwwtP7l77+AkVwJLGbk8uG67vKrOrqq/Bx4DPATYt/v+OY/rbp05rwmSvCDJuV0eXJDkL5PMDC2vJC9Nu1a7rlvnsV3d8MXue89O8pDRH9Dtuwu6bZ+U5N6zLN/Yvl3n+m+J8lZaNDv3Nt3tgQ/SGkW7AGcDn8v6Id9vAD4F/A7tcbn3JbnnAr/rWuCFwH2BlwHPAv5qZJ170Rqx/6f7ruNp+/nWE3eSXwGeDrx3gd/fhzfRGuIvB+4HvAX45yRPGlnv7cC7gAcBXwI+leTuI+u8DdgfuA9w2jy/f2vanevdaPl5HPCJJPcZWe/VwPeAnYHX0y4inpN1O1WfDVxDu7s1yd5LK2cDL6Q1yIcvNuZb7v8a+BzwQOCQJL8OfK3b1m60RsAhwJqhzzySdrf68cAzaWV176X4YRNqD+CSqjqHlqfPy/pRAeMq39NoKcr34cDuSe429JndgLt2n9PGbew4n2/dr3mqqlOAi4DnDd7rLpKex8poDyzWfOrYDUqyNXAC7Rz/UNqF698tIh1/QSvnzwJ+g1buz++WPYPW+XEQa59eWE7XdH9PzdBN4xFHAo+mtTEfCLwf+EyS3xlZ72DgtbT20A+Az6Z13P878CrgOtb+xoMXuO03dtt4GPCrtPb0G4C9aB0L9wcOHPnMo2ntt8cBf0SLMnrb0PL51jVvoUV/3g/45GwZtBSS/BqwO3BIVV03vKx7fSjwxCS/SrtpekCXtvvT2v4/6lbfpft3d1peD24s7w38X9o+eiDtOuETWX8onA22O7pz3ym0J2x2odXjWwOfHu54oeX9b3dpeNwismNT3ALsB7wkyY6jC7vf8nngLODBtDLwbFpeAnwUuCPttw0+sxXteuro7vUTaB0676bl/wtp9c3fjnzdq4Bv0Nq8H6WV7w/R2scPouXl0bMcexs6lug6wP4F+DStfD+j29b7RraxJxDaOfd5jFFVfQf4Au04g40c1xu7JkjyYlpevoF27bsPLT9eNvLV+wPH0vLhDODDtHPaobR9ewVw1MhntqBdo7wA+L3uO49P2hNvC9i3o9d/Ur+qyr8F/tEqiBM2sCzAfwB7Dr1XwFuGXm9Ga9zs2b3eoVtn55FtFbDHHOl4CXDh0OsDgV8CdxlZ793AF4ZevxT4MbBZ33k5lJ83s7ZxeQ3thLsVcD3wyJH13wl8biTv/mpo+QxwAfCm7vVjunX+aGQ7BwLfGXnv+cA1G0nv14H9h15fDHxmZJ0tgKuAZw29dxpwcN/5vbFyTWswX0+7+LgrLQJ0+0WW+38cWe/NwCXA5nOk4UfDZZPWkfLlvvNnjPn+r8BrhvLx4kFZ3cTyvU5Znk/ZXs1/Yyjf36FFuQxefwT4eN+/s8+8Hf3/0PJ16tqNHefMo+6f1r9F5PXo69cA5w29fmJ3DNyp7982xjybTx27wfYXLUrrv4DbDi1/TrfOY7rXg3p4m6F11tk2raPkRCAbSOfFg3T2lE9/1P3OG4BTaR0LD+uW7UjrLNl+5DOfBA4dyYM/GVq+NfBz4EXd6+czch5a4LafMLT8Fd17D5mjvB/Vff/WQ+/t2ZX5reZT1wztx32WaT88rPu+p29g+dO75Y/q9tVLNrDehsr25cAbRt47GTh65HNztTsOAk4c2cavdp/bZSjvrwS26KEsH8XaevIk4NiRcrQNrT16ITAz9Lnnd2Xjdt3r44EPjpSd/wa27F6fAhww8t3/m3Ydk+71xcCHR46JAt61oX3F/I6lDwDvHfnuB3Wfu/PQfj1nnPk7y7K30q5x53Ncb+ya4FLguSPvvQo4d+h1se419gO691499N6t+31oPxew69A69wT+hxYtu5B9+5nZ0u6ff339rRNqrIVLcmfgb4DHAneh9fzflnaxOOzWR16qPW56JXDnBX7XHrRKbSdaJb+GdSOeAC6rqp+MvHc4cGaS7arqMtrdh/dX1c0L+f4xO4V253Xgetrd0S2BL2TdR1RuQ6tQh506+E9V3ZLktO7zw85YaKK6u3R/TRt75m7dd2/J0P6cbdtVdWOSD9Ly+tgk96Pd3XzBQtOw3KrqZ0mOp6X958DJVXVphoZvXEC5H83zBwNfq6qb5kjCuSNl8wpaY3fVSbITsCvtbjFVVUmOAV5EixIdGEv5nkZLWL4Pp909fmsXafE02kWX5meu43whdb8W5v3Am5P8flX9O+04+GRV/WfP6RqLBdSxc7kPrcPo+qH3FhMdfRQtAuqCJP9Ci9r5fFXdsohtLbmqOi7JZ2kRPr9Hi7baJ8lf0YYzCHBu1h3KeQvgKyObGj5fXZPk26x/vhr2kAVse7jtNWjrfnvkvdG29TlVNTxExanA5rTOhy2Yf12z3OfY2sD7g0y6kZb+E+e7we6RzV9n/cczvwb84ch7c7U7Hgo8KrMP/bEjLUoN2nFz43zTNyb7Al9PcvDI+/cFTh05/r5GKxs70cra0cBRSW5XLWryT2g38W7o1n8osEuS1w5tY4bWXrgr7aYgrHsNeE2S61i/3ML6ZXeuY+mhwE5Jnjm0/qBs7AgMxlz+JssrdJ3ubPy43uA1QdpYifegRdG+Z2jRZqz9nQPzqReg5e9V3f9vYW05paouSXIFLX+/zPz3rW1vTRQ79zbd+2kXf39JawjcSDvRjg6q+cuR18Xax6IHJ5ZbK6vRR0aSPJwWcvzG7rt+DjyVtY80DFw7msCq+laSM4HnJ/kkLXR40sYuuq6qLhx+I2tnBHsK6w92P5qf8zGaN7ew/gli9FGdg2kN3NfQGrfX0e6Wje7f9fIdOAI4J8n2tHD/U6vq3EWkuw/vo5Xta2jh8KPmW+5H82U+E7zMdaysNi+idRwNdy4NHgm4xwK3NVsZ1OyWonx/EHhbkkfQGqhX0R6RmXbzqVdh7uN88O9S1f2r1Xzz+lZVdWXaeLsvTHI+rR3xlDGlbxJsrI7daPuLtRerc1lvO4zsi6o6M20ihN2B/0WrZ76VZLcJ6uC7gdYB+SXgoLTZxQ+kTTpUwO+y/jF4PZtmZgHbHl5eXZpH31tIe2Ehdc1ynWO/T/sd92f2x3/vy8bL48bM9vmFbHMG+CytbTxqOMCg93ZJVZ2e5Djao9h/M7RoruN68P4JtCeLnpbkRNojusNj483Qrss+Nss2rhz6/2znu/XKMgsvu0cA75hl2eVD/1/ufXA/2iPE8zmu57omGOTFS2iP9M9ltrxcivydz77tvYxLw+zc23SPAP6iqj4LkOQuLHyslEElMfy50bEvdgUur6pbT0wLHLPvcNrdq22Af6uq8zey/iQ4l3ZRfc+qGr17O+rhdHeCuvESdqENnD2XK4G7JElVDSr+0Xx/BPCBqjqu2/aWtDtiF2ws8VX13e5O54tpnamj4yNOshOBm2jlZbbG5WLL/ZnAnkk230j03qqXNkjznwKvozUgh32QFuX5ge71Ysq3NmyTy3dV/VeST9Ainx4MHFVV/zPWVK8MV7J+PTr6emMWUvdPs8Xm9WBiiR/QLsS/vMTpmgjzrGMHY+fN1f46jzZO322Hovd2GVlnuB03+P96+6KqrqZdLH4syVG0YT52orUpbmL9pzH6di7tWuE82oX4XatN7DCXh9PK1uDphwew9lw22288awHbXowHJtmqqgYX4Q/v0nER7QJ+ouqa7tzyReBlSd5RQ+PudeOtvZw2dM2gnnwcrUNw1KCNdWt+V9UvuuikR7BuVOQjuu0Nm6vdcSZtYqpLRjpXJ9Xrab9v96H3zgX+OMnMUOf6I1hbNgZP4XycFrG3DW1Io38d2saZwH1GgxOW0FzH0pnA/cf43QuW5AG0PH4T8zuuN3hNUFU/SXI5sGNVfWD2j2+SGVrH4793ad+eFtV63lDaxrlvpbGwc2/TXUCrmE6jjd3xdtaeUOelqq5P8nXgtWmz3P4Kawd0Hf6euyf5E1qY9hPoHjOZpw8Df08bb+8lC0lfX6rq6i6M/uCuYXEK7XHkhwO3VNVhQ6u/NMkFtDDsl9HGTnjP6DZHnAz8GvD6JMfSxmTYY2SdC4Cnp82M9UvaI7obGmx6NocD/9R99iML+FyvukeXfps2rsRsj1QsttwfSit/H03yZuBntJPreVV19tKkfsV4Eq2xePjoI3FdeXwp3aDNLK58awOWsHwfThs8+jasX3dMq68A+yZ5Ia3Ofgbt5tS8Z0pcYN0/zRab118C/pN2PnvrpESNjcF86tg30TrY5mp/HdOtd3iSv6VdAA4GTh/cGLyQNo7kgUn2o42htf/Id76a9ijX2bQ2wXOAX7B2f10MPDLJ0bSZKK9imaTNMPsxWlTzOcDVtKc89qWNrXZO9zjzUUn2oV34/hqt3fSDqvrE0Ob274aeuYIWGX0TbfIAaL9xyyS70S7+r6uqCxaw7cXYjDaJ3UG0ffdWWpm4tvvtk1jXvILW6fDlJPvTOu92pI1RFuAVXT35D8BbktxIS/udgIdW1Xtoj2VeDzwhycXADVX137QO7YOSfJ/2yOaetEex15mJlbnbHYfQblx/JMnbaB3a96Z1+O3TdWJPjKq6MMlhrDtp06G0oY4O7fLx3rSy8e5adyKTo2k3QO4FfGikvjwIOCHJJbSJMm6mdcDtUlX7LkHS5zqW3kZ73PifgH+mHbP3AZ5SVeOezRlgi7TZkWeAbWmdzK+nlamDq+raeRzXG7smOBD4x7SZaD9Ha2s9BLh7VY3W0wt1M/DOJHvTjpN3AN9l7c2uce9baSxW66Nu4zZDO8ihRW1sTavMjqU1jC5exDYHszeeTquk12kUVtVnaCfkd9IaXrsx++Nks+pOtB+lnRg+uoj09eUAWuX+Glql+yXaoM8/HFlvP9qMRd+i3TV6eje+4AZV1Xm0xv1erM3T2WZB+inwVdqd0q93/5+vj9Dl+aQ1djamqq6uql9sYPGiyn1VXU4bBHpz2iDHZwGvZO3xNE3+DDhpA2NdfYzWkB7M0rbg8q25LVH5Ppl2YX5yVV00hmSuFLeeE6vqi7RHWd5My78daA34hZpv3T9tNjmvu0j1I2kXSkeOK6ETYL517MbaX9fQHtu8P+2c9XesnZH1hm6dX9Jmwb03rZ5+I+vPnHg1bZbSb9AudB8EPHGoI+ENtDGmLmLdx76WwzW09s3etMik79LaQx+izeoLLdLxSNrNju/RoiEfRRsQf9h+wP+j/cbfAJ486Ejrxnn8J9oN5ytpnYcL2fZiDH7PSbQJEr4y9L0wgXVNdz7ZuUvPB2nRWx+iRRX9blUN0vY6WifPAd2y44Dtum3cTJuh+UW0zqFPdZ95F60Mv502MdTTaRPMjN5g3WC7o6quoN1IuIV2g+u7tA6/G7u/SXQQQ23Nrj36RFrk/dm08/yHWf+4PYX2mOv9WHvDdbCNL9JuIjyWdlx/g5Zvo494L9Zcx9I5tGNkB1oZ/xbtxsTouOvj8njazYpLaU9DPJVW7z1qKEp2zuN6Y9cEVXUErX5+Lu33fZV2zbYUx+aNtHPnB2hjqM4Azxg8ybUM+1Yai8FsL1qAtIGQL6qql/adloVI8nnahBsv7jst0yJtmvdLgUdX1egAxtKcuvGZfkhrzDto74RJcltao/+VVXVM3+npy0o9J65ES5XX3QDlO1XVbkuTsumS5Gm0jqI7L2eE3SRL8hjaBfq25okkScvPx3IXIMk2tDtVj6bdeVwR0mZyHAwC+zs9J2cqdANy3412V+gsO/ak1SPJDGsn3Lie2QdcXvVW6jlxJVqqvE7yK7TH755He4RO85DkT2nRUz+iPZr1TuAzdmJJkqRJYefewnyUFhb9dtod25ViMM7B66vqO30nZkrsSruD/X28gJJWm+1pEZWXAS+Y4slhVuo5cSVaqrz+FG1g/PcOJozRvNyF9sjZ3WiD6n8WeG2vKZIkSRriY7mSJEmSJEnSCuWEGpIkSZIkSdIKZeeeJEmSJEmStELZuSdJkiRJkiStUHbuSZIkSZIkSSuUnXuSJEmSJEnSCvX/AYDaRhK+glm4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for offense in offenses:\n",
    "    plotOffenseByMonth(offense, crime_method_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create a Timeseries for Various Types of Crime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Masks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "mask_theft_auto = crime_method_df['Offense'] == 'THEFT AUTO'\n",
    "mask_burglary = crime_method_df['Offense'] == 'BURGLARY'\n",
    "mask_theft_other = crime_method_df['Offense'] == 'THEFT OTHER'\n",
    "mask_assault = crime_method_df['Offense'] == 'ASSAULT WITH DANGEROUS WEAPON'\n",
    "mask_robbery = crime_method_df['Offense'] == 'ROBBERY'\n",
    "mask_motor_theft = crime_method_df['Offense'] == 'MOTOR VEHICLE THEFT'\n",
    "mask_abuse = crime_method_df['Offense'] == 'SEX ABUSE'\n",
    "mask_homicide = crime_method_df['Offense'] == 'HOMICIDE'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filter by Offense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "crime_method_theft_auto = crime_method_df.loc[mask_theft_auto]\n",
    "crime_method_burglary = crime_method_df.loc[mask_burglary]\n",
    "crime_method_theft_other = crime_method_df.loc[mask_theft_other]\n",
    "crime_method_assault = crime_method_df.loc[mask_assault]\n",
    "crime_method_robbery = crime_method_df.loc[mask_robbery]\n",
    "crime_method_motor_theft = crime_method_df.loc[mask_motor_theft]\n",
    "crime_method_abuse = crime_method_df.loc[mask_abuse]\n",
    "crime_method_homicide = crime_method_df.loc[mask_homicide]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub_theft_auto = crime_method_theft_auto.groupby(crime_method_theft_auto[\"Start_Date\"].dt.month)['CCN'].count()\n",
    "sub_burglary = crime_method_burglary.groupby(crime_method_burglary[\"Start_Date\"].dt.month)['CCN'].count()\n",
    "sub_theft_other = crime_method_theft_other.groupby(crime_method_theft_other[\"Start_Date\"].dt.month)['CCN'].count()\n",
    "sub_assault = crime_method_assault.groupby(crime_method_assault[\"Start_Date\"].dt.month)['CCN'].count()\n",
    "sub_robbery = crime_method_robbery.groupby(crime_method_robbery[\"Start_Date\"].dt.month)['CCN'].count()\n",
    "sub_motor_theft = crime_method_motor_theft.groupby(crime_method_motor_theft[\"Start_Date\"].dt.month)['CCN'].count()\n",
    "sub_abuse = crime_method_abuse.groupby(crime_method_abuse[\"Start_Date\"].dt.month)['CCN'].count()\n",
    "sub_homicide = crime_method_homicide.groupby(crime_method_homicide[\"Start_Date\"].dt.month)['CCN'].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Aggregate into a New Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "liz_df = pd.DataFrame()\n",
    "liz_df['Theft_Auto'] = sub_theft_auto.to_list()\n",
    "liz_df['Theft_Other'] = sub_theft_other.to_list()\n",
    "liz_df['Burglary'] = sub_burglary.to_list()\n",
    "liz_df['Assault'] = sub_assault.to_list()\n",
    "liz_df['Motor_Theft'] = sub_motor_theft.to_list()\n",
    "liz_df['Sex Abuse'] = sub_abuse.to_list()\n",
    "liz_df['Homicide'] = sub_homicide.to_list()\n",
    "liz_df[\"Months\"] = months\n",
    "#Set Months as new Index\n",
    "liz_df.set_index('Months', inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot Graph for Each Type of Offense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_axis = np.arange(len(liz_df))\n",
    "plt.figure(figsize=(20,10))\n",
    "\n",
    "plt.plot(liz_df.index, liz_df.Theft_Auto, color='red', alpha=0.75, label='Theft_Auto', linewidth=4,  marker='o')\n",
    "plt.plot(liz_df.index, liz_df.Theft_Other, color='orange', alpha=0.75, label='Theft_Other', linewidth=4, marker='<')\n",
    "plt.plot(liz_df.index, liz_df.Burglary, color='darkgreen', alpha=0.75, label='Burglary', linewidth=4, marker='o')\n",
    "plt.plot(liz_df.index, liz_df.Assault, color='aqua', alpha=0.75, label='Assault', linewidth=4, marker='o')\n",
    "plt.plot(liz_df.index, liz_df.Motor_Theft, color='navy', alpha=0.75, label='Motor_Theft', linewidth=4, marker='o')\n",
    "plt.plot(liz_df.index, liz_df['Sex Abuse'], color='fuchsia', alpha=0.75, label='Sex Abuse', linewidth=4, marker='o')\n",
    "plt.plot(liz_df.index, liz_df.Homicide, color='dodgerblue', alpha=0.75, label='Homicide', linewidth=4, marker='>')\n",
    "plt.legend(framealpha=1, frameon=True);\n",
    "plt.xticks(tick_locations, liz_df.index, rotation=0, fontsize=14)\n",
    "plt.ylabel(\"Number of Incidents\", fontsize=14)\n",
    "plt.title(f\"Various Types of Crime over Time\", fontsize=20, fontweight=\"bold\")\n",
    "plt.tight_layout()\n",
    "\n",
    "#Export Graph to File\n",
    "plt.savefig(f\"Images/Various Types of Crime over Time.png\")\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Overview of Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pct_Pop_Below_Pov</th>\n",
       "      <th>Pct_Child_Below_Pov</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>CCN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>19615.000000</td>\n",
       "      <td>19615.000000</td>\n",
       "      <td>19615.000000</td>\n",
       "      <td>19615.000000</td>\n",
       "      <td>1.961500e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>20.277675</td>\n",
       "      <td>25.101593</td>\n",
       "      <td>38.905307</td>\n",
       "      <td>-76.997621</td>\n",
       "      <td>1.711939e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>13.018253</td>\n",
       "      <td>21.236977</td>\n",
       "      <td>0.032447</td>\n",
       "      <td>0.039392</td>\n",
       "      <td>1.525146e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>38.822921</td>\n",
       "      <td>-77.112316</td>\n",
       "      <td>2.111617e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10.400000</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>38.890132</td>\n",
       "      <td>-77.026680</td>\n",
       "      <td>1.705782e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>17.900000</td>\n",
       "      <td>24.500000</td>\n",
       "      <td>38.905065</td>\n",
       "      <td>-76.995573</td>\n",
       "      <td>1.711492e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>28.400000</td>\n",
       "      <td>44.400000</td>\n",
       "      <td>38.924454</td>\n",
       "      <td>-76.975410</td>\n",
       "      <td>1.717292e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>77.100000</td>\n",
       "      <td>38.977783</td>\n",
       "      <td>-76.910021</td>\n",
       "      <td>2.709178e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Pct_Pop_Below_Pov  Pct_Child_Below_Pov      Latitude     Longitude  \\\n",
       "count       19615.000000         19615.000000  19615.000000  19615.000000   \n",
       "mean           20.277675            25.101593     38.905307    -76.997621   \n",
       "std            13.018253            21.236977      0.032447      0.039392   \n",
       "min             0.000000             0.000000     38.822921    -77.112316   \n",
       "25%            10.400000             1.200000     38.890132    -77.026680   \n",
       "50%            17.900000            24.500000     38.905065    -76.995573   \n",
       "75%            28.400000            44.400000     38.924454    -76.975410   \n",
       "max           100.000000            77.100000     38.977783    -76.910021   \n",
       "\n",
       "                CCN  \n",
       "count  1.961500e+04  \n",
       "mean   1.711939e+07  \n",
       "std    1.525146e+05  \n",
       "min    2.111617e+06  \n",
       "25%    1.705782e+07  \n",
       "50%    1.711492e+07  \n",
       "75%    1.717292e+07  \n",
       "max    2.709178e+07  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2017.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 19615 entries, 0 to 19614\n",
      "Data columns (total 9 columns):\n",
      " #   Column               Non-Null Count  Dtype              \n",
      "---  ------               --------------  -----              \n",
      " 0   Census_Tract         19615 non-null  object             \n",
      " 1   Pct_Pop_Below_Pov    19615 non-null  float64            \n",
      " 2   Pct_Child_Below_Pov  19615 non-null  float64            \n",
      " 3   Offense              19615 non-null  object             \n",
      " 4   Method               19615 non-null  object             \n",
      " 5   Latitude             19615 non-null  float64            \n",
      " 6   Longitude            19615 non-null  float64            \n",
      " 7   Start_Date           19615 non-null  datetime64[ns, UTC]\n",
      " 8   CCN                  19615 non-null  int64              \n",
      "dtypes: datetime64[ns, UTC](1), float64(4), int64(1), object(3)\n",
      "memory usage: 1.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df_2017.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create Google Map of Crime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Heatmap based on Crime by Census Tract\n",
    "\n",
    "- Aggregate Crime Statistics by Census Tract, Latitude & Longitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Census_Tract</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>CCN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1001</td>\n",
       "      <td>38.941043</td>\n",
       "      <td>-77.086707</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1001</td>\n",
       "      <td>38.941068</td>\n",
       "      <td>-77.089141</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1001</td>\n",
       "      <td>38.942214</td>\n",
       "      <td>-77.087286</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1001</td>\n",
       "      <td>38.942691</td>\n",
       "      <td>-77.087771</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1001</td>\n",
       "      <td>38.943156</td>\n",
       "      <td>-77.091624</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Census_Tract   Latitude  Longitude  CCN\n",
       "0         1001  38.941043 -77.086707    1\n",
       "1         1001  38.941068 -77.089141    1\n",
       "2         1001  38.942214 -77.087286    1\n",
       "3         1001  38.942691 -77.087771    1\n",
       "4         1001  38.943156 -77.091624    1"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "maps_df = df_2017.groupby(['Census_Tract', 'Latitude', 'Longitude']).count()['CCN']\n",
    "maps_df = pd.DataFrame(maps_df)\n",
    "maps_df.reset_index(inplace=True)\n",
    "maps_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "19182ef414834944aa4f299bbdc3c944",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Figure(layout=FigureLayout(border='1px solid black', height='600px', margin='0 auto 0 auto', padding='1px', wi…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "locations = maps_df[['Latitude','Longitude']]\n",
    "\n",
    "num_of_crimes = maps_df.CCN\n",
    "\n",
    "figure_layout = {\n",
    "    'width': '950px',\n",
    "    'height': '600px',\n",
    "    'border': '1px solid black',\n",
    "    'padding': '1px',\n",
    "    'margin': '0 auto 0 auto'\n",
    "}\n",
    "\n",
    "fig = gmaps.figure(map_type=\"HYBRID\", layout=figure_layout)\n",
    "heat_layer = gmaps.heatmap_layer(locations, weights=num_of_crimes, dissipating=True)\n",
    "\n",
    "fig.add_layer(heat_layer)\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Types of Offenses"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Here is a list of the various types of crime."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['ASSAULT W/DANGEROUS WEAPON', 'THEFT/OTHER', 'THEFT F/AUTO',\n",
       "       'MOTOR VEHICLE THEFT', 'ROBBERY', 'SEX ABUSE', 'BURGLARY',\n",
       "       'HOMICIDE', 'ARSON'], dtype=object)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2017.Offense.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Volume of Crime by Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Frequency in 2017</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Type of Crime</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>THEFT/OTHER</th>\n",
       "      <td>8170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>THEFT F/AUTO</th>\n",
       "      <td>5538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MOTOR VEHICLE THEFT</th>\n",
       "      <td>1692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROBBERY</th>\n",
       "      <td>1494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ASSAULT W/DANGEROUS WEAPON</th>\n",
       "      <td>1405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BURGLARY</th>\n",
       "      <td>1025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SEX ABUSE</th>\n",
       "      <td>194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOMICIDE</th>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ARSON</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Frequency in 2017\n",
       "Type of Crime                                \n",
       "THEFT/OTHER                              8170\n",
       "THEFT F/AUTO                             5538\n",
       "MOTOR VEHICLE THEFT                      1692\n",
       "ROBBERY                                  1494\n",
       "ASSAULT W/DANGEROUS WEAPON               1405\n",
       "BURGLARY                                 1025\n",
       "SEX ABUSE                                 194\n",
       "HOMICIDE                                   94\n",
       "ARSON                                       3"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "offense_type = df_2017.groupby(['Offense']).count()['CCN']\n",
    "offense_type = pd.DataFrame(offense_type)\n",
    "offense_type.sort_values('CCN', ascending=False, inplace=True)\n",
    "offense_type = offense_type.rename(columns={'CCN': 'Frequency in 2017'})\n",
    "offense_type.index.names = ['Type of Crime']\n",
    "offense_type"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pie Chart: Types of Weapon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['GUN', 'KNIFE', 'OTHERS']\n",
    "sizes = df_2017.groupby(['Method'])[\"CCN\"].count()\n",
    "colors = [\"violet\", \"aqua\", \"yellowgreen\"]\n",
    "explode = (0, 0, 0.2)\n",
    "\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.title(\"Distribution of Crime by Weapon\")\n",
    "plt.pie(sizes, explode=explode, labels=labels, colors=colors,\n",
    "        autopct=\"%1.1f%%\", shadow=True, startangle=140)\n",
    "plt.axis(\"equal\")\n",
    "plt.savefig('Images/Pie_Chart_Type_of_Weapon.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Histograms"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Function to Plot Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "def matplotHistogram(col, df):\n",
    "\n",
    "    #Plot Bar Chart\n",
    "    plt.figure(figsize=(8, 8))\n",
    "    plt.hist(df[col], 100, color='indigo', alpha=1.0)\n",
    "    #plt.xticks(rotation=90)\n",
    "    plt.title(f\"Washington Crime Statistics 2017 by {col}\", fontsize=16, fontweight=\"bold\")\n",
    "    plt.xlabel(f\"{col}\")\n",
    "    plt.ylabel(\"Frequency of Offences\")\n",
    "    axes = plt.gca()\n",
    "    axes.yaxis.grid()\n",
    "    plt.savefig(f'Images/Histogram_{col}.png')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotHistogram('Census_Tract', df_2017)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotHistogram('Method', df_2017)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Census_Tract', 'Pct_Pop_Below_Pov', 'Pct_Child_Below_Pov', 'Offense',\n",
       "       'Method', 'Latitude', 'Longitude', 'Start_Date', 'CCN'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2017.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Histograms for Each Column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = ['Report', 'Shift', 'Method', 'Offense', 'Block', 'XBlock',\n",
    "       'YBlock', 'Ward', 'ANC', 'District', 'PSA', 'Neighborhood',\n",
    "       'Block_Grou', 'Census_Trac', 'Voting_Precinct', 'Latitude', \n",
    "        'Longitude', 'Object_ID', 'Octo_Recor']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Graphs indicate that none of these variable demonstrate a normal distribution "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#for col in cols:\n",
    "#    matplotHistogram(col,renamed_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bar Charts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Function to Plot Bar Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "def matplotBarChart(col, df):\n",
    "    #Groupby operation on Target Column\n",
    "    #Assign to temporarily DataFrame\n",
    "    #Sort & capture top 10\n",
    "    sub_df = df.groupby([col]).count()['CCN']\n",
    "    sub_df = pd.DataFrame(sub_df)\n",
    "    sub_df.sort_values('CCN', ascending=False, inplace=True)\n",
    "    sub_df = sub_df.head(10)\n",
    "\n",
    "    #Plot Bar Chart\n",
    "    plt.figure(figsize=(8, 8))\n",
    "    plt.bar(sub_df.index, sub_df['CCN'], color='indigo', align=\"center\")\n",
    "    plt.xticks(rotation=90)\n",
    "    plt.title(f\"Washington Crime Statistics 2017 by {col}\", fontsize=16, fontweight=\"bold\")\n",
    "    plt.xlabel(f\"{col}\")\n",
    "    plt.ylabel(\"Number of Offences\")\n",
    "    axes = plt.gca()\n",
    "    axes.yaxis.grid()\n",
    "    plt.savefig(f'Images/Bar_Chart_{col}.png')\n",
    "    plt.show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "def matplotBarChartHoriz(col, df):\n",
    "    #Groupby operation on Target Column\n",
    "    #Assign to temporarily DataFrame\n",
    "    #Sort & capture top 10\n",
    "    sub_df = df.groupby([col]).count()['CCN']\n",
    "    sub_df = pd.DataFrame(sub_df)\n",
    "    sub_df.sort_values('CCN', ascending=False, inplace=True)\n",
    "    sub_df = sub_df.head(10)\n",
    "\n",
    "    #Plot Bar Chart\n",
    "    plt.figure(figsize=(8, 8))\n",
    "    plt.bar(sub_df.index, sub_df['CCN'], color='indigo', align=\"center\")\n",
    "    plt.xticks(rotation=0)\n",
    "    plt.title(f\"Washington Crime Statistics 2017 by {col}\", fontsize=16, fontweight=\"bold\")\n",
    "    plt.xlabel(f\"{col}\")\n",
    "    plt.ylabel(\"Number of Offences\")\n",
    "    axes = plt.gca()\n",
    "    axes.yaxis.grid()\n",
    "    plt.savefig(f'Images/Bar_Chart_{col}.png')\n",
    "    plt.show"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Crime by Type of Offense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RY/PyrG6vhVN8zq9NMf/ZNC7To1y2N7nORJ3W7fv6XY/P82i6X2mwsNe6xuDres91qdf6Qekc9qceyz6o1nldn/f/E7DeFN91v+958m/tSfS+Yc5FLH3DnPlTLbtLLGfVafdTf7PT2L5NNJbdt9d9Y54NWfqKhS9N4/02pxzt9vp891KvcGrMc9DkdWrAae+bxv/oCrpsTxrlzXXuR32W+b1Gvc9P8f57Ted/tawvj+gHkJnXsnSz2kVZ9tI7fjZplqU64mXm1ylN/pdTOoOcTTnCesjeP6VDz3coK9edlKOqqygbxR261J8VmXkDZYfhFMpnuI5yBP7ZRrU/NuqfTTl3dSmTmsKyNMftRDliOI/yOe+mbPAOBl6cy35E0iv+BzLzTZRmtm9RNmj3UC4r/CWlafu7vZcwfFnOf+5M6al7BiXZ3E3pu3ByLX/I6Z5JPk1pTv0F5TPeTfl/XVTLt83MZgvT5yi90jtJqOndddr1lPOUJwIv6RH7XZSjynMo/89BDLSu91uXesnMX1Cu+z6C8v3dS+nhfgal9YAa639SvptbKYnrxvo5F2bm7wf8HIPEcyUlwR1FOaK9l/JZD6W0BEzujT+weophQR09PjOvWI5QX0xpTbuD0orzZcqlw0v1c8jMy1nSSgGDNdt35j2TctfRf6HcQ+EOynp6BeX7eV5mDry8Kd7r3ygde79P2T7dR/n+f0HZQfjKMi76aMrBymLK7+teSmvUJ2mcfsjMt1F2KH9CWcfurfOcRtkJ+f4yvv+0RN3rkKZUexaf09koRcTGlBX1KZQk8azMvLDPIiS1QO0/MUG5RPG8zNys/xwapW6dj6Re/g34y4i4gXI5zeNZclnNISZ5qf0i4reU/hOdHuMHjS4aDcJEr+n4FuX8+oaUjlk3Upo/D8/MkTZ7S5o1m1D6KV0BfDwzjx9tOJqKTfeSJLWYnfEkSWoxE70kSS3WynP0a6+9ds6fP3/UYUiSNGvOOeecGzPz8ZPLW5no58+fz9lnnz3qMCRJmjURcWW3cpvuJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEkttuKoA5grdoyDRx3CQ5yYHxp1CJKkMecRvSRJLWailySpxUz0kiS1mIlekqQWM9FLktRiQ030EfHuiLggIn4TEd+IiEdHxIYRcUZEXBIR34yIR9W6K9XxRXX6/MZyDqjlF0fEy4YZsyRJbTK0RB8R6wHvBBZk5rOAFYDdgY8Dn8rMjYGbgb3rLHsDN2fmRsCnaj0i4hl1vmcC2wOfj4gVhhW3JEltMuym+xWBlSNiReAxwLXANsC36/SjgV3q8M51nDp924iIWn5MZt6dmZcDi4DNhxy3JEmtMLQb5mTm7yPiEOAq4M/AD4FzgFsy875abTGwXh1eD7i6zntfRNwKrFXLT28sujnPgyJiH2AfgHnz5jExMTGjn2eXQzaa0eXNhJn+jJKk9hlaoo+INShH4xsCtwDfAnboUjU7s/SY1qt86YLMw4HDARYsWJALFy6cftB9HLL1ON4Zb49RhyBJGnPDbLp/CXB5Zt6QmfcC3wFeCKxem/IB1geuqcOLgQ0A6vTHATc1y7vMI0mS+hhmor8K2DIiHlPPtW8LXAicBvxNrbMncFwdPr6OU6f/ODOzlu9ee+VvCGwMnDnEuCVJao1hnqM/IyK+DZwL3AecR2la/x/gmIj451p2RJ3lCOCrEbGIciS/e13OBRFxLGUn4T5g38y8f1hxS5LUJkN9el1mHggcOKn4Mrr0ms/Mu4Bdeyzno8BHZzxASZJazjvjSZLUYiZ6SZJazEQvSVKLmeglSWoxE70kSS1mopckqcVM9JIktZiJXpKkFjPRS5LUYiZ6SZJazEQvSVKLmeglSWoxE70kSS1mopckqcVM9JIktZiJXpKkFjPRS5LUYiZ6SZJazEQvSVKLmeglSWoxE70kSS1mopckqcVM9JIktZiJXpKkFjPRS5LUYiZ6SZJazEQvSVKLmeglSWoxE70kSS1mopckqcVM9JIktZiJXpKkFjPRS5LUYiZ6SZJazEQvSVKLmeglSWoxE70kSS1mopckqcVM9JIktZiJXpKkFjPRS5LUYkNL9BGxSUT8svG6LSLeFRFrRsQpEXFJ/btGrR8RcWhELIqI8yNis8ay9qz1L4mIPYcVsyRJbTO0RJ+ZF2fmppm5KfA84E7gu8D+wKmZuTFwah0H2AHYuL72AQ4DiIg1gQOBLYDNgQM7OweSJKm/2Wq63xa4NDOvBHYGjq7lRwO71OGdga9kcTqwekSsC7wMOCUzb8rMm4FTgO1nKW5Jkua02Ur0uwPfqMPzMvNagPp3nVq+HnB1Y57FtaxXuSRJmsKKw36DiHgUsBNwwFRVu5Rln/LJ77MPpcmfefPmMTExMb1Ap7DLIRvN6PJmwkx/RklS+ww90VPOvZ+bmdfV8esiYt3MvLY2zV9fyxcDGzTmWx+4ppYvnFQ+MflNMvNw4HCABQsW5MKFCydXWS6HbH3wjC5vJpyYe4w6BEnSmJuNpvs9WNJsD3A80Ok5vydwXKP8DbX3/ZbArbVp/wfAdhGxRu2Et10tkyRJUxjqEX1EPAZ4KfDmRvG/AsdGxN7AVcCutfwk4OXAIkoP/TcCZOZNEXEwcFat95HMvGmYcUuS1BZDTfSZeSew1qSyP1J64U+um8C+PZZzJHDkMGKUJKnNvDOeJEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFhproI2L1iPh2RPw2Ii6KiBdExJoRcUpEXFL/rlHrRkQcGhGLIuL8iNissZw9a/1LImLPYcYsSVKbDPuI/jPAyZn5NOC5wEXA/sCpmbkxcGodB9gB2Li+9gEOA4iINYEDgS2AzYEDOzsHkiSpv6El+ohYDXgxcARAZt6TmbcAOwNH12pHA7vU4Z2Br2RxOrB6RKwLvAw4JTNvysybgVOA7YcVtyRJbbLiEJf9ZOAG4D8j4rnAOcB+wLzMvBYgM6+NiHVq/fWAqxvzL65lvcqXEhH7UFoCmDdvHhMTEzP6YXY5ZKMZXd5MmOnPKElqn2Em+hWBzYB3ZOYZEfEZljTTdxNdyrJP+dIFmYcDhwMsWLAgFy5cOO2A+zlk64NndHkz4cTcY9QhSJLG3DDP0S8GFmfmGXX825TEf11tkqf+vb5Rf4PG/OsD1/QplyRJUxhaos/MPwBXR8QmtWhb4ELgeKDTc35P4Lg6fDzwhtr7fkvg1trE/wNgu4hYo3bC266WSZKkKQyz6R7gHcDXI+JRwGXAGyk7F8dGxN7AVcCute5JwMuBRcCdtS6ZeVNEHAycVet9JDNvGnLckiS1wlATfWb+EljQZdK2XeomsG+P5RwJHDmz0UmS1H7eGU+SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GIrjjoADdeOcfCoQ3iIE/NDow5Bkh42PKKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi02Z6CNi14hYtQ5/MCK+ExGbDT80SZK0vAY5ov9QZt4eES8CXgYcDRw23LAkSdJMGCTR31//vgI4LDOPAx41vJAkSdJMGSTR/z4ivgjsBpwUESsNOJ8kSRqxQRL2bsAPgO0z8xZgTeC9Q41KkiTNiCkTfWbeCVwPvKgW3QdcMsygJEnSzBik1/2BwPuBA2rRI4GvDTMoSZI0MwZpun8VsBNwB0BmXgOsOsygJEnSzBgk0d+TmQkkQESsMtyQJEnSTBkk0R9be92vHhFvAn4EfGmQhUfEFRHx64j4ZUScXcvWjIhTIuKS+neNWh4RcWhELIqI85s35YmIPWv9SyJiz+l/TEmSHp4G6Yx3CPBt4L+BTYAPZ+Znp/EeW2fmppm5oI7vD5yamRsDp9ZxgB2AjetrH+pNeSJiTeBAYAtgc+DAzs6BJEnqb8WpKkTEhsD/ZuYpdXzliJifmVcs43vuDCysw0cDE5TOfjsDX6mnCU6PiNUjYt1a95TMvKm+/ynA9sA3lvH9JUl62Jgy0QPfAl7YGL+/lj1/gHkT+GFEJPDFzDwcmJeZ1wJk5rURsU6tux5wdWPexbWsV/lSImIfSksA8+bNY2JiYoDwBrfLIRvN6PJmwiCfca7GLUmaGYMk+hUz857OSGbeExGD3gJ3q8y8pibzUyLit33qRpey7FO+dEHZiTgcYMGCBblw4cIBQxzMIVsfPKPLmwkn5h5T1pmrcUuSZsYgnfFuiIidOiMRsTNw4yALr5fikZnXA9+lnGO/rjbJU/9eX6svBjZozL4+cE2fckmSNIVBEv1bgA9ExFURcTXlfPqbp5opIlZpPN52FWA74DfA8UCn5/yewHF1+HjgDbX3/ZbArbWJ/wfAdhGxRu2Et10tkyRJU5iy6T4zLwW2jIjHApGZtw+47HnAdyOi8z7/lZknR8RZlEv29gauAnat9U8CXg4sAu4E3ljf/6aIOBg4q9b7SKdjniRJ6m+QXvcrAX8NzAdWrImbzPxIv/ky8zLguV3K/whs26U8gX17LOtI4MipYpUkSUsbpDPeccCtwDnA3cMNR5IkzaRBEv36mbn90CORJEkzbpDOeD+PiGcPPRJJkjTjBjmifxGwV0RcTmm6D8op9ecMNTJJkrTcBkn0Oww9CkmSNBSDPNTmSsoNa7apw3cOMp8kSRq9KRN2RBxIuUnOAbXokcDXhhmUJEmaGYMcmb8K2Am4Ax68re2qwwxKkiTNjEES/T31ZjYJD97OVpIkzQGDJPpjI+KLwOoR8SbgR8CXhhuWJEmaCT173UfESpl5d2YeEhEvBW4DNgE+nJmnzFqEkiRpmfW7vO4XwGYR8dXMfD1gcpckaY7pl+gfFRF7Ai+MiFdPnpiZ3xleWJIkaSb0S/RvAV4LrA68ctK0BEz0kiSNuX6Jft3MfGtEnJeZh89aRJIkacb063XfuUHOW2YjEEmSNPP6HdH/MSJOAzaMiOMnT8zMnYYXliRJmgn9Ev0rgM2ArwKfmJ1wJEnSTOqZ6DPzHuD0iHgBcFcpyjtmLTJJkrTc+t4ZLyLeCpwLXAlcHRFXRsTbZiUySZK03Hom+oj4IOWyuoWZuVZmrglsDexQp0mSpDHX74j+9cCrM/OyTkEd3g14w7ADkyRJy69v031m3tWl7M/AA0OLSJIkzZh+iX5xRGw7uTAitgGuHV5IkiRppvS7vO6dwHER8TPgHMptb58PbAXsPAuxSZKk5dTziD4zLwCeBfwUmA88uQ4/q06TJEljrt8Rfecc/ZGzFIskSZphfTvjSZKkuc1EL0lSi/W7Yc6p9e/HZy8cSZI0k/o+jz4i/grYKSKOAaI5MTPPHWpkkiRpufVL9B8G9gfWBz45aVoC2wwrKEmSNDP6Pb3u28C3I+JDmXnwLMYkSZJmSN/L6wAy8+CI2Al4cS2ayMwThxuWJEmaCVP2uo+IfwH2Ay6sr/1qmSRJGnNTHtEDrwA2zcwHACLiaOA84IBhBiZJkpbfoNfRr94YftwwApEkSTNvkCP6fwHOi4jTKJfYvRiP5iVJmhMG6Yz3jYiYoDy5LoD3Z+Yfhh2YJElafoMc0ZOZ1wLHDzkWSZI0w7zXvSRJLTb0RMulpjQAACAASURBVB8RK0TEeRFxYh3fMCLOiIhLIuKbEfGoWr5SHV9Up89vLOOAWn5xRLxs2DFLktQWfRN9RDwiIn6znO+xH3BRY/zjwKcyc2PgZmDvWr43cHNmbgR8qtYjIp4B7A48E9ge+HxErLCcMUmS9LDQN9HXa+d/FRFPXJaFR8T6lOvwv1zHg3KP/G/XKkcDu9Thnes4dfq2tf7OwDGZeXdmXg4sAjZflngkSXq4GaQz3rrABRFxJnBHpzAzdxpg3k8D7wNWreNrAbdk5n11fDGwXh1eD7i6Lvu+iLi11l8POL2xzOY8kiSpj0ES/T8ty4IjYkfg+sw8JyIWdoq7VM0ppvWbp/l++wD7AMybN4+JiYnphtzXLodsNKPLmwmDfMa5GrckaWYMch39TyLiScDGmfmjiHgMMMg58q0oz7J/OfBoYDXKEf7qEbFiPapfH7im1l8MbAAsjogVKXfgu6lR3tGcpxnn4cDhAAsWLMiFCxcOEOLgDtl6/B7gd2LuMWWduRq3JGlmDPJQmzdRzpl/sRatB3xvqvky84DMXD8z51M60/04M18LnAb8Ta22J3BcHT6+jlOn/zgzs5bvXnvlbwhsDJw5wGeTJOlhb5DL6/alHJ3fBpCZlwDrLMd7vh/4h4hYRDkHf0QtPwJYq5b/A7B/fb8LgGMpT847Gdg3M+9fjveXJOlhY5Bz9Hdn5j2lAzzUZvWHnCPvJzMngIk6fBldes1n5l3Arj3m/yjw0em8pyRJGuyI/icR8QFg5Yh4KfAt4IThhiVJkmbCIIl+f+AG4NfAm4GTgA8OMyhJkjQzBul1/0BEHA2cQWmyv7h2kpMkSWNuykQfEa8AvgBcSrmmfcOIeHNmfn/YwUmSpOUzSGe8TwBbZ+YigIh4CvA/gIlekqQxN8g5+us7Sb66DLh+SPFIkqQZ1POIPiJeXQcviIiTKNeyJ+USuLNmITZJkrSc+jXdv7IxfB3wV3X4BmCNoUUkSZJmTM9En5lvnM1AJEnSzBuk1/2GwDuA+c36Az6mVpIkjdAgve6/R7kP/QnAA8MNR5IkzaRBEv1dmXno0CORJEkzbpBE/5mIOBD4IXB3pzAzzx1aVJIkaUYMkuifDbwe2IYlTfdZxyVJ0hgbJNG/CnhyZt4z7GAkSdLMGuTOeL8CVh92IJIkaeYNckQ/D/htRJzF0ufovbxOkqQxN0iiP3DoUUiSpKEY5Hn0P5mNQCRJ0swb5M54t1N62QM8CngkcEdmrjbMwCRJ0vIb5Ih+1eZ4ROwCbD60iCRJ0owZpNf9UjLze3gNvSRJc8IgTfevbow+AljAkqZ8SZI0xgbpdd98Lv19wBXAzkOJRpIkzahBztH7XHpJkuaonok+Ij7cZ77MzIOHEI8kSZpB/Y7o7+hStgqwN7AWYKKXJGnM9Uz0mfmJznBErArsB7wROAb4RK/5JEnS+Oh7jj4i1gT+AXgtcDSwWWbePBuBSZKk5dfvHP2/A68GDgeenZl/mrWoJEnSjOh3w5z3AE8APghcExG31dftEXHb7IQnSZKWR79z9NO+a54kSRovJnNJklrMRC9JUouZ6CVJajETvSRJLWailySpxUz0kiS1mIlekqQWM9FLktRiJnpJklrMRC9JUosNLdFHxKMj4syI+FVEXBAR/1TLN4yIMyLikoj4ZkQ8qpavVMcX1enzG8s6oJZfHBEvG1bMkiS1zTCP6O8GtsnM5wKbAttHxJbAx4FPZebGwM3A3rX+3sDNmbkR8Klaj4h4BrA78Exge+DzEbHCEOOWJKk1hpbos+g82vaR9ZXANsC3a/nRwC51eOc6Tp2+bURELT8mM+/OzMuBRcDmw4pbkqQ26fn0uplQj7zPATYCPgdcCtySmffVKouB9erwesDVAJl5X0TcCqxVy09vLLY5T/O99gH2AZg3bx4TExMz+ll2OWSjGV3eTBjkM87VuCVJM2OoiT4z7wc2jYjVge8CT+9Wrf6NHtN6lU9+r8OBwwEWLFiQCxcuXJaQezpk64NndHkz4cTcY8o6czVuSdLMmJVe95l5CzABbAmsHhGdHYz1gWvq8GJgA4A6/XHATc3yLvNIkqQ+htnr/vH1SJ6IWBl4CXARcBrwN7XansBxdfj4Ok6d/uPMzFq+e+2VvyGwMXDmsOKWJKlNhtl0vy5wdD1P/wjg2Mw8MSIuBI6JiH8GzgOOqPWPAL4aEYsoR/K7A2TmBRFxLHAhcB+wbz0lIEmSpjC0RJ+Z5wN/2aX8Mrr0ms/Mu4Bdeyzro8BHZzpGSZLazjvjSZLUYiZ6SZJazEQvSVKLmeglSWoxE70kSS1mopckqcVM9JIktZiJXpKkFjPRS5LUYiZ6SZJazEQvSVKLmeglSWoxE70kSS1mopckqcVM9JIktZiJXpKkFjPRS5LUYiZ6SZJazEQvSVKLmeglSWoxE70kSS1mopckqcVM9JIktZiJXpKkFjPRS5LUYiZ6SZJazEQvSVKLmeglSWoxE70kSS1mopckqcVM9JIktZiJXpKkFjPRS5LUYiZ6SZJazEQvSVKLmeglSWoxE70kSS1mopckqcVM9JIktZiJXpKkFjPRS5LUYiZ6SZJabGiJPiI2iIjTIuKiiLggIvar5WtGxCkRcUn9u0Ytj4g4NCIWRcT5EbFZY1l71vqXRMSew4pZkqS2GeYR/X3AezLz6cCWwL4R8Qxgf+DUzNwYOLWOA+wAbFxf+wCHQdkxAA4EtgA2Bw7s7BxIkqT+hpboM/PazDy3Dt8OXASsB+wMHF2rHQ3sUod3Br6SxenA6hGxLvAy4JTMvCkzbwZOAbYfVtySJLXJirPxJhExH/hL4AxgXmZeC2VnICLWqdXWA65uzLa4lvUqn/we+1BaApg3bx4TExMz+hl2OWSjGV3eTBjkM87VuCVJM2PoiT4iHgv8N/CuzLwtInpW7VKWfcqXLsg8HDgcYMGCBblw4cJlireXQ7Y+eEaXNxNOzD2mrDNX45YkzYyh9rqPiEdSkvzXM/M7tfi62iRP/Xt9LV8MbNCYfX3gmj7lkiRpCsPsdR/AEcBFmfnJxqTjgU7P+T2B4xrlb6i977cEbq1N/D8AtouINWonvO1qmSRJmsIwm+63Al4P/DoiflnLPgD8K3BsROwNXAXsWqedBLwcWATcCbwRIDNvioiDgbNqvY9k5k1DjFuSpNYYWqLPzJ/R/fw6wLZd6iewb49lHQkcOXPRSZL08OCd8SRJajETvSRJLWailySpxUz0kiS1mIlekqQWM9FLktRiJnpJklrMRC9JUouZ6CVJajETvSRJLTYrz6OXpmvHGMfH635o1CFI0rR5RC9JUouZ6CVJajETvSRJLWailySpxUz0kiS1mIlekqQWM9FLktRiJnpJklrMRC9JUot5ZzxpBnlHP0njxiN6SZJazEQvSVKLmeglSWoxz9FLsm+B1GIe0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYbWqKPiCMj4vqI+E2jbM2IOCUiLql/16jlERGHRsSiiDg/IjZrzLNnrX9JROw5rHglSWqjYR7RHwVsP6lsf+DUzNwYOLWOA+wAbFxf+wCHQdkxAA4EtgA2Bw7s7BxIkqSpDS3RZ+ZPgZsmFe8MHF2HjwZ2aZR/JYvTgdUjYl3gZcApmXlTZt4MnMJDdx4kSVIPK87y+83LzGsBMvPaiFinlq8HXN2ot7iW9SqXJHaMg0cdwkOcmB8adQjSUmY70fcSXcqyT/lDFxCxD6XZn3nz5jExMTFjwQHscshGM7q8mTDIZzTumWPcs6vNcUuzabYT/XURsW49ml8XuL6WLwY2aNRbH7imli+cVD7RbcGZeThwOMCCBQty4cKF3aots0O2Hscjhz2mrGPcM8e4Z1eb45Zm02xfXnc80Ok5vydwXKP8DbX3/ZbArbWJ/wfAdhGxRu2Et10tkyRJAxjaEX1EfINyNL52RCym9J7/V+DYiNgbuArYtVY/CXg5sAi4E3gjQGbeFBEHA2fVeh/JzMkd/CRJUg9DS/SZPduvtu1SN4F9eyznSODIGQxNkqSHDe+MJ0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFTPSSJLWYiV6SpBYz0UuS1GImekmSWsxEL0lSi5noJUlqMRO9JEktZqKXJKnFVhx1AJL0cLNjHDzqEB7ixPzQqEPQkHhEL0lSi5noJUlqMRO9JEktZqKXJKnF7IwnSRqInQjnpjlzRB8R20fExRGxKCL2H3U8kiTNBXMi0UfECsDngB2AZwB7RMQzRhuVJEnjb04kemBzYFFmXpaZ9wDHADuPOCZJksbeXDlHvx5wdWN8MbDFiGKRJM0x49a/YDb7FkRmztqbLauI2BV4WWb+fR1/PbB5Zr6jUWcfYJ86uglw8awHOpi1gRtHHcQyMO7ZNVfjhrkbu3HPLuOeeU/KzMdPLpwrR/SLgQ0a4+sD1zQrZObhwOGzGdSyiIizM3PBqOOYLuOeXXM1bpi7sRv37DLu2TNXztGfBWwcERtGxKOA3YHjRxyTJEljb04c0WfmfRHxduAHwArAkZl5wYjDkiRp7M2JRA+QmScBJ406jhkw9qcXejDu2TVX44a5G7txzy7jniVzojOeJElaNnPlHL0kSVoGJnpJklrMRD/LIuKlEXHKqOOYSkQ8OiKeFRHPjIhHjzqeqUTED0cdw8NNRLyw32vU8fUTEXNu2xcRr2sMbzVp2ttnPyLNFZ6jH5KI2Ab4AvAE4HvAx4CvAAF8NDO/M8LweoqIFSmx/h1wJWVncH3gP4F/zMx7RxheTxFxXmb+5ajjWBYRsWVmnj7qOKYrIr7fpTiBZwLrZ+YKsxzSwCLil8BbM/MXo45lUBFxbmZuNnm427iWX0S8uN/0zPzpbMWyvOZMr/s56BOUO/X9gvIwntOBD2XmZ0Ya1dT+HVgV2DAzbweIiNWAQ+prvxHG1s/jIuLVvSaO645VdVhEnAm8PzNvGXUwg8rMHZrjEbEl8I/A9cC7RhLU4N4MfDYifgW8LzNvHnVAA4gew93Gx0pEHJuZu9Xhj2fm+xvTfpiZ240uup7e26UsgedSDn7Gdkd2MhP98GRmTtTh70XEDXMgyQPsCDw1G009mXlbRLwV+C1jnOgpsXfb4CUwzon+ecA7gTMj4uDM/OqoA5qOiPgr4EPASsDHMrPbkf5YycwzImIL4C3A2bV14oHG9HeOLLjessdwt/Fxs3Fj+KXA+xvjD7ll6zjIzFc2xyPiRZQd2WuBOXWqxEQ/PKtPOsKM5vgYH2FmM8k3Cu+PiHHemFyZmX836iCWRWY+AHy69jP4RUR8nrLhjjI5VxtpgD1ExMuADwJ3Af/c2LGdK9YEng/cAJxDI9GPqadFxPmU9eIpdZg6/uTRhTWQftuOcd6uEBHbUnZkk7IjO/Z9rCYz0Q/PT4HmHuFPGuPjfIR5YUS8ITO/0iysHYF+O6KYBjHWTZdTiYi9gf0pRwyf67azNYa+T3mq5LnAOyNiqaPgzOx5KmXUIuItlKbZfwf2niPf99NHHcByeExE/CWlz8/KdTjqa+WRRtZDRLyC8nu8ldI/6f9GHNIyszOelhIR61F2Qv5MOcpJylHPysCrMvP3Iwyvp4h48VzqHNMUET8HrgD+ITP/MOJwBlaPdHrKzFNnK5bpioivA+/OzOtHHcuyioi1gBcDV2XmOaOOp5+IOK3f9MzcerZiGVREPEB5oNqv6NLqkJk7zXpQy8hEPyQR8enMfFcd3q95fj4ijsrMvUYWXB8RsWJ9tsA2lN7TAVwwzhtteEiP5F9k5gtGHdOgIuKlvZoDI2KVzLxjtmOajvqgqSdTNoaXZ+Y9Iw5pmUXEJsD/y8w3jTqWySLiRGD/zPxNRKxLaUk5G3gKcHhmfnqkAbZM7XvSU2b+ZLZiWV4m+iGZq5fCjHNs/TQvr5uLl9rVlpR1gfMz856IWIfSc32vzHzCaKPrLiJWAA6mXF3ye0qz7LqUe4F/ODPvG2F4fUXEcyhXkXQuf/0s8HlgC+ATmfmpEYbXVURckJnPrMMfAJ6WmW+IiFWB/8vM54w2wv5qC8RrgKfVoouA/8rMm0YX1dTqfUQ2ouzIXpqZd404pGmbczeNmEP6XQozzuZSrE2PiIg16sakM7xm5zXq4PqJiHcBv6Qkm9MjYk/KRnBlSo/8cfVxSqJ8SmY+NzOfTdkgzqOc+x5nXwL+C/hrSme8c4HLgI3GMclXzXtYbEt9yFe9DHasOxJGxNOB31DW598Bl1BOCf4mIp7Wb95RiYgVI+LfKM33RwNfA66OiH+LiEeONrrp8Yh+SOr1uQspO1M/rsOdJHpaZj53NJH1FxGLgU/2mp6ZPaeNUkRcQdnYdb28LjPHtldyRFwIvCgzb4qIJwKLgBeP+010IuISYJN61UCzfEXgoszcuPucoxcRv8zMTRvjVwPzM/P+EYbVV0ScAPyQkniOpNzr4paIWBk4u3O0P44i4tvAsZl57KTyvwZek5l/PZrIeouIT1HuKfLuLvcU+XNmjuulxg9hr/vheRylM1sn8ZzbmDbOe1crAI9ljh3ZZ+b8UcewHO7qNF9m5lUR8btxT/JVTk7ytfC+Mb8UE+DRjZ7fAH8CnhMRAZCZ5/acc3T2Bj4CvAT428bNlbak3LlynD07M/9mcmFm/ndEfGwUAQ1grt5T5CE8otdS5vA5+tdl5tfq8FbNS2Ei4u2Z+R+ji66/iLgeOKZRtHtzfExv3kJEHAd8MzP/a1L5HpSjtFd2n3P0pugFnpm5zawF8zDQb7syrtucusP91OlOG0cm+iGJiL4r7pgeMczJjmwwdzs/AtRz8j1l5tGzFct0RMT6wHHAzSx9KebqwC6ZefUIw1tmEfHIHMNnOtSm+8l3x7uRcirwa6OJajB9TgkG8K7M3GCWQ5pSRHwP+E6Pe4rs5uV1mnzE8DzKhrBjbI8YIuLxQPM8ZQK3jPsNRfr1up+rOy+w5HLHUcfRT0RsR+NSTOCH476+TFab7Lem9Ap/ZWbOG3FID9Hjcq81gdcBl2Tm/rMc0sAi4sB+0zPzn2YrlkHN1XuKdGOinwVzKdFExOUsuf1qx2MpN434+8y8YhRxTWWOH9H/LDNfVIe/mpmvb0wb29gjYiXgTZSe9r8GjhrnzmzdRLnf/WuAV1GS5r7A8Tk3HnIDPHiZ4znNzoWaOXPtniLd2BlvdsyZvanM3LBbeZT79H8B2H52IxrYXL4P+CqN4ck9p8e5U+RRlPj+F9iFEvs/jDKgQUXER4HdgKuAb1A6uZ09rqdJ+snyHIpRh9FXRBzab/o49kOJiMcA92bmj4Ef15spvTwiVsvM7444vGkx0WsgmfmdiPjgqOPoYy7fB3yuPvDjWfXaeSLicOCMEcczHfsAFwOHASdm5l3jfqVAj/tBrAG8gXLKZJyN9S16eziZcqXDJRGxEeWR418HdoyIzTPzgJFGNw0m+iGJiM+yZCO9/uQ92nHcg+0nIh7LGN9gKTOvHHUMy2H1iHgV5fttPvUwKJdpjqsHO6xl5r3jflQ5yV8A2wF7UJ4ceBrlYSvj3Ceic56480Un8EfgNOCtowpqQN8EVs3MG5qF9Q6Qt40mpCmtkZmX1OE9gW9k5jvqLZ/PAUz04uzG8JzZm42Ibk2vawA7AeN8idrtdD/6HetHvVY/oXy/neHmZWnj/KCe50ZE5/alAaxaxzvf+djekbD2Jfg+8P16i9MdgccAv4+IUzPzNSMNsItep9XmiEMpR8iTn9r5UuBFjOeOSnN7sg31bo/1FtVjfSfCyeyMNyQR8bHM/MCo45iuLr1jO0cNP83MX48gpGmbS50f57LaCaynudYxDx6889mbMvMTo46lm4h4EnBHZt4YEVtSkuSl437OOCIuzMxn9Jj24D38x0lEfA34A+U5DvtT7kR4Z0SsDvxkXO9u2o2JfkjGubf0sqhHPa/MzG+NOpapzMXvvl46dXNmnh8Ru1EeP3op8PnMvHu00Q2u3o51J8oNc3YedTzLIiKuyswnjjqOySLiw5Qm5KTcUOklwATlQTy/yvq0zHEUERdlZtd+NP2mjVJdl/ejPKjpyMz8VS1/IeX5Dl8dZXzTYdP98KwQEWvQo9d0jvkTm+DBI7bOecyXUXpXj32in2si4nPAcyi3Zb2YcjnjycALKfc0f+0Iw5tSvbf99pTL1F4OnEDpkT9XjWtng90pnU4fQ7la4C/qEeaKlIcijbPrawe2M5uFEfF8ykOFxk5m/hn41y7lP+/cKnmuMNEPz9NY+l73TckYX/IVES+mbLRfAZwJbEVtthppYH00OrDB0h3agHLVwCyHNB1bZ+YzaqvJ74F16iVTXwTOn2LekYmIrSk7gS8HfkbpcLVV8z4Ac9S4NnPelZn3APdExKWd32N9tsA9I45tKu8Fjo2Io1jSZ2kB5YqB3UcVVD/1QGc3YD3g5Mz8TUTsCHyActOcOXN60EQ/PBfOxfPE9VaVV1EuO3pvZt4eEZePc5Kvmh3YJndoSx7aCWic3AVQL/G6snNuOzMzIsbuVqwNp1JaeV7UuZFSRIzlue3JIuLX9O68OXZ3xas6O7ABrDaHrs4gM8+sNyd6G7BXLb4A2CIzrx9ZYP0dAWxAOdg5NCKuBF4A7J+Z3xtpZNNkotdk/025+cnfAvdHeXDJuB7hNJ0w5kft/axTr3aIxjB1/PGjC2tKW1COxiYi4iLKeeO+HfTGyI6jDmAZNHdgf8rcuToDgMy8Duh7K9wxswB4TmY+UFvbbgQ2ysw/jDiuabMz3pBExF6ZeVQdfizlAO2O0UY1mMZ9vzvNsqtRbhxxUmb+aZSx9TIXO+B1zMX7gDfV9eXFlPXlVZQjoO9m5pEjDexhJCLm1UQ6lqZoQcnMfM4shzSluXYr7X5M9EMUEW+jXJaxCmWFvh34eGZ+fqSBTUNEPJLS0WoPYLvMXHvEIXU1l3+EbVI7hr2M8rz0N4w6nl4iYm9gzcz89zr+e2BVyu/0fZl52CjjG0REPA74a0p/mqdn5nojDqmnellgT+N4w6uIuBNY1BkFnlLHA3hgLl1eZ9P9kETEP1I6sS3MzMtq2ZOBz0TEmpn5zyMNsId6K9PvAz/KzNuzPK7zBOCEernJuOrc636ysT1i6KjNgn9LedzrCZSOS53L6w7OzBtHGF5PEbFHZn6jDm+ZmafXu8r9T0SM3eVpk7yFpZ/bcH1mrlf/Fz+k9FEZO83LF4HNKDsnuzDmTffjmMgH0O2SvwDWp3TImzM8oh+SepnUczPzrknlK1OueX3qaCLrr96EY3tgW+Aeykbv5M41pOMqIi6gnGboapw3NBFxLOV2sqtQ7kL4G0rCfxGwaWaO5fnkmNtPDDwnM5/XGP9AZn6sDp+Vmc8fXXTdRcTXKTuAP6T0h/gxsGgu3DGvy50rgyW38x33O1cSEZtSdq52Ay4H/jszx/ZOoZN5RD9Ek5N8LfvzON8+MTNPB04HDoqItSjX0b8nIp4NnEdJ+seOMsYe7hnnZD6FZ2Tms2qz9+LM7Dx3/OSIGOcdrOgx3G183CzVS72R5B8BrDWSiKb2LEqrz0XAb+slmHPlSO1UyvMFvgMck5lXjTieKUXEUymdTfeg3B30m5SD461HGtgyGNuHlLTA4ojYdnJhlGcbXzuCeKYtM/+Ymd/IzDfUSwU/B2w86rh6+L9RB7Ac7oFyPTRwzaRp43wb2ewx3G183PwwIrqdPvsI5Yh57NRzwrtROsf+KCL+l/J8gb8YbWRTy8xdKH03bgC+FBE/iYi3Rfcn8o2L31JaNl+ZmS/KzM8y3r/Hnmy6H5KIeCZwHOVGIp2nTj2fct5+58wcy8dKRsRRmblXHd4z5+DzueeaiLie0hQblHP1x3QmAbtl5lhe1107K/2WEucmdZg6/tTMXGVUsU0lIlYBvkz5TXZaTZ5LeRjVmzLz9lHFNqiIWEA52tyV0hL0whGHNJDaavK3wGeBj2XmJ0ccUldRnii5O+UOlSdTfpdfngunSiYz0Q9R7djzGuCZlI3fBcDXuzXpj4toPBBm3M+ztkVE7Nlv+rjubEXEU/pNz8xLZyuWZVU7yHYeqHLhXIh5ss7ljZn5k1HH0k+9R/wewP9HvZNiZv7vaKOaWt0p3IUS+zbA0ZTLR8ey5acbE/2QRMQPKHuB38/M305Vf1z062Cl4ZtL91yIiLdTTpn8KjPHtt/JdETEJsD/y8w3jTqWNomIK4BbWNKJ8L7m9Mw8dwRhTVs91bAr5fLRbUYdz6BM9ENSz5ttX19PBc6gJP5Tx/WmM9C3GRmAzHznKOKaSkS8LzP/rQ7vmo2n7MUceGRwRLwVOIDS8x7gT4z5PRci4tOUZs2NgHOBn1MS/y8y87ZRxjaViHgOcAjwBOB7lGbkz1Pu9veJzPzUCMNrnYiYoHe/jZxLSXMuMtHPgnpOagtgB0rnjj8DP+wkpnEyh5uR5/KlXh+kJMy3T77nwv/f3p3HW17XdRx/vUGQJbZJSCQ2FUWgYYCMrSgWTQvBEFAGpJS0qKC0cl9yoRTEIswVS9yGpZFFS0URXBAoBgaYGRRMEzWRgNTEFIR3f3x/d+6ZM/fcGc7MOd/f+d338/GYB7/lDryHx537Od8duL6tey5MaYaofoXyZziQ8r1+d8v3Lrieslb+WsqH8ZcBHwVe2+ahtYhhpNCPiKQ/GbTOUtJjgN+0/ZExkRWC+AAAFTNJREFUx+qsvrkFK69num+bSd1zYUoz3HAAZaLpgcB2wHK3+BQ7SUttL+i5/xawi5sDhdpI0rnAq/onCkraHXiH7SPqJFs7krYD/pgyJ8LACuAf3N5DbTojy+tG54WDXti+J0V+vZvkpV4D91wAWjv2Lemdkr4EXEI5G+FG4CTb+7a5yDc2kbSPpH0l7UsZKpnfc99GdwFLJS0EkLSZpDOByylLX1tL0sHAvze3HwQ+3Fz/W/MuRigt+hFpe3dx10h6CLifMrdgU2DqWF0Bm9jeqFa2NZF0JWWZ0ZV9zw+jdCW3coMOSZ8FtgaWUsbnr7V9W91Ua2dSx4wl7Qq8g7L17eOAi4A3u+XHSEu6DjjV9k19zxcA77G9f51kc0N2xhud+ZJmmpDU6i0fZxtyaDPbk3I86kxOBy5rWser7blQM9hsbB/RzD+ZTxmff7WkpwB3A1+2/aaqAWdh+zdqZxjS1IeTR1F6ZG9re5FvbNlf5AFsL5W0RY1Ac0la9CPS9nHhQbrYEyHpTtutPmRlEvdc6NWsMjmYUvCPBrZr64dZAEnH9D0y5bzxpW3dLKeZtPl7wKttXyhpB8qEzW0preUVNfPNRtJtwEG2/6fv+TzKh8Ld6ySbG9Kij7mg7fuuT43Rr3J+u6QNJZ3Y1vkcKscwH0Qp8BvQdN9TlmUurRhtbTxrhmfzKD1xp9j+3LgDrYVtgX2mPojY/g5wrKRnAouZ+bS1tvhbyrbDf0GZywGwH/DW5l2MUFr0I9J7GtYkkfQzpse3V3lFi4ccZtP2Fr2kLSmzkXegbJv82eb+LyktzFZ230v6e5q187a/VTvP+qBybvpFkzZmLOnRtn9aO8dsJB1JWcY4tRPhcuAs2x+vl2puSKEfEUlX2H56c/1K239TO9PamOAhh5cOekXp6mzt4RmSLqOcSnYtZZ+FbYCNgT+13faWcee0dfhK0kW2j2+u32r75T3vVv68ieiXrvvR2bbn+jhgIgr9BJttQs85Y0sxnMfb/iUASedRxop3autYcZc1W+C2tWXce3Lk04CX99xvS4s1ewAMbFW2dcfNrkihH51J7Sq5eM1f0j6231A7wzp4cOrC5Yzxb6TIj5akj7P639F5wPbASeNPtFZm+5nS9p83N/RcvwF4fa0gc1G67kdE0veBL1C6jn+tuV7J9lE1cq3JBA85nAl83fa7+56/BHhsbzdn2/TsAQCr7gMwUfMiJG0D/Cpwp+2b1/T1NUn69b5HBu4F7rD9QIVIayTpK5QT1DagbDizkPI9IuDDtts8GW+lSR0enGQp9CMyww+SVbilR0pO6jG1klYAe/Wfotas877F9l51knWXpEuB19he1iyvu5FytvuulK1Nz60a8BFqtqa+1y39obiGTX5o68ZK/Sbp50pXpOt+dG4adIKXpNbOAKf9XYCDuL/INw8fltT65XUTajfby5rrF1BOZnx+s4rgS5QT4VpJ0gHAW4D7gDcBHwIeA2wg6WTbn6qZbyYTvMlPVJZCPzpXA1OnqV1p+/Ced5dOvWuhx0u6nNIdOHW9UluHHIAfS9rN9h29DyXtRjktMNa/B3uuDwfeD2D7h5Jau0d/4x3Aq4CtKOejP9P2dc0BMYsoR0q3iqSnAt+yfVdzfzLwHOCbwF/Zvq9mvtlI+l+mGxGb9ewaOlHDU5MqhX50eluR/Uu72tzC7F2z/bZqKR651wGflPRmyjayAL9MOeP9z6ql6rbvSDoV+DZl85PjYOUufxvXDLYWHmX7CgBJb7R9HYDtr7S4A+g9wBEAkg6h9EicBiwA3gscWy/a7Gxnm9uKUuhHZ1JPU5vIIQfbn5T0bMomM6c1j5cDz7F9a71knXYK8GbgSGBhz/amBwHnV0u1dnp7HPp7fNr693PDnlb7c4H32l4MLJaU/RZioEzGGxFJ3wbeTmm9v6S5prn/M9s71so2m96JMv1DDplEE10xiacdSloGLLD9s2YG/ottf2HqXSacxiBp0Y/O+5jexKX3GuC88cdZaxM55DBgXfRKLZ5bMLEkXcLqPVf3AFfZvqBOqrUzoacdLgI+L+keSi/EFwEkPRH4Qc1g0W4p9CMywRu4TOqQwyTNJ+iKmY4zngecKGm+7VeNO1CX2T5D0pWUTX2u6FkGuAHTw1URq0nX/Yg0B34M1NYtHyd1yCHaQ9KjgBtsL6idJSLSoh+lJT3Xk7Tl40QOOUi6ldm77uePMc6c1owh144REY206McgWz6OXnO8KJSeh38Bfqv3ve1vjj1UxzUb4/TbBjgZ2MP2CWOOFBEzSIt+PCbm09SkDjn0FnJJP01hH4vllO/tqeb71H7xVwF/WCtURKwqhT76TeqQQ4xZ5mtETIZ03Y+IpPuBh5rbzVh1ne5EbPk4SUMOknrX93+E6ZO9ALB949hDzQGSfh74I2BPSot+BfBO2/dWDRYRK6XQj8gkFclBJmmDHElXzfLatg8bW5g5QtKBwAWUI1OXUD5Y7QucCJxg+9qK8SKika770cknqDGalCM6O+btwDG2e4d7FktaDLwTOKBOrIjolUI/OttJeumgl7bfPuhdTf1DDpNyypSkl9k+s7k+zvbFPe/+Opu3jMRWfUUeKMMkA2bkR0QFG9QO0GEbAj9HWYc+06+2ut32ls2vR/Vcb9HWIt94Xs/1K/vePWOcQeYQSdpqhodbk58tEa2RFv3ofNf2G2uHGMKkDjlowPVM97F+/D3waUl/DkxNdtwPOBM4p1qqiFhFCv3oTGpxmcghByZ3j/6JZftdkr4LnAXsQfn/fBtwlu1LqoaLiJVS6Efn8DV/SStNDTlM2geVvZv5BAI27ZtbsEm9WN1m+1Lg0v7nkja13X/Oe0RUkOV1sYpJWlIX9Un6BcppasuaPe4fA5wOnGJ7h7rpIgIyYSZWN2kteQAkfULSQkmb1c4yV0g6jbJBzvuA6yWdCHyVst/9/jWzRcS0tOhjFZLm2b6vdo5HStLRlJn3RwCfAxYB/2r7garBOkzSCuAQ2/dI2gW4HTjU9jVVg0XEKlLoo1MkbQocRSn6BwL/Ciyy/ZmqwTqof5hH0jLbe9XMFBGrS6GPzpI0HzgfmG97w9p5ukbS3ZTtb6ec1Htve+DqjYgYn8y6j05pJocdT2nRbw9cDLygaqju6t+YqP8+IlogLfroBEkvAk4Angx8DLggY8X1SJLzwyWiFTLrPrriIOAtwI62T0uRHz1Jn++5/kDf69X2wI+IOtJ1H51gO93z49d79sH8vncTuUwzoovSoo+IYc3WNZ9u+4iWSIs+Ioa1taRnURoMW0k6qnkuYLVT7SKijkzGi05rjkz9Y9tn1M7SNZI+NNt7288fV5aIGCwt+ugESTsCrwUeRzlk5aPAm4DnU3bJi/UshTxiMqTQR1d8EPg8sBh4BnAdsJyyWc5dNYN1laTHATvbvra5P51y8iGU5Y1frxYuIlZK1310gqSbbe/dc/89YCfbP60Yq9MkfQS40Pblzf3twPuBzYAn2D6pZr6IKNKij86QtA3Ty7ruAjaTtDnAJB7UMwGeMlXkG/fbfiuApC9WyhQRfVLooyu2omzS0rt++8bmnwYeP/ZE3bdJ3/3Te64fM84gETFYCn10gu1dameYg34k6Ym2vwZg+78BJD0JuL9qsohYKYU+OkPSxsCJwJ6UVvwK4KMZpx+ZvwI+IelNTPee7EdZ/ZCT6yJaIpPxohMk7QFcDlzDdBf+vsDBwNG2l1eM11mS9gZeTvlwBbAMOMv20nqpIqJXCn10gqQrgbfY/kzf8yOAV9s+tE6yiIi6UuijEyR9xfbuA97dZvsp487UdZLex+A97W37D8aZJyJmljH66IoNJD26fzxe0ibk+3xUPjvDsx2APwU2AlLoI1ogp9dFV3wQWCxpl6kHzfVFwKx7ssdwbF849YuyE+GhwKnA28hyxojWSNd9dIakPwFeRtmZDcoSr7fZPrdeqm6TtBvwamB/4GzgfNsP1k0VEb1S6KMTJB1j+2PN9RYAtv+3bqpuk7SI6QK/CPhZ73vbP6yRKyJWlUIfnSDpRtv71s4xl0j6NtOT8ab+ObUzoW3vNP5UEdEvk5QiYii2f7F2hohYs7TooxMk/Rj42kyvKK3L+WOONCdJ2hl4HrCw9zTBiKgnLfroim8Az6odYi6StB1wPLCQshvhWcDv1cwUEdPSoo9OkHST7X1q55hLJL0AOIGylO6fKUsZF9vetWqwiFhFWvTRFdfUDjAHvRf4MnCc7ZsAJKXlENEyadFHZ0jai7KOfg+mT6872/YtVYN1VNNl/1xKq35r4ELg923vWDVYRKwiO+NFJ0g6GrgEuBp4IfD7wOcpu+UdXTFaZ9m+2/a5tg8Cfgv4KXCfpFslvbFyvIhopEUfnSDpZspxtP/Z93wX4LLMAB+f5sjgE2y/tnaWiEihj46QtML2Ho/0XawbSdtQltNNnRx4G3Ch7f+plyoieqXrPrriQUmr7cTWrOv+2QxfH+tI0pOB5cDBwJ3At4BfA5Y1e+BHRAukRR+dIOnZwJnAXwNLKJPxngq8Ani57UsrxuskSRdTltNd0Pf8eOB428fWSRYRvVLoozMk7Q38ObAnZUe85ZTT626uGqyjJH3V9pMf6buIGK+so4/OaAr6ybVzzCH3D/kuIsYohT46QdLls723fdS4sswh20k6fYbnArYdd5iImFkKfXTFgZTJYIuA65k+LjVG558YXNA/MMYcETGLjNFHJ0jaEHgaZZe2+cC/AItsL68arMMkHQd8xvb3a2eJiMGyvC46wfZDtj9l+3eBAyhH1l4t6bTK0brsycBlkq6W9BpJ+9UOFBGrS4s+OkPSo4HfprTqdwEuB/7R9ndq5uo6SVsBTweeAewH3AJ8Cvi07XtrZouIFProCEnnA3sBnwQusL2scqQ5S9J84JnA02wfUTtPxFyXQh+dIOlhppd09X5TC7DtLcefqtskLQa+RDmqdont7EAY0UIp9BExlGY3woOaX3sCtwLXUAr/l9NtH9EOKfQRsc4kbUQZnz8EeDGwq+0N66aKCMg6+ohYB83pdQdSWvUHAlsAVwN/UzFWRPRIiz4ihiLpNuBHlNUN1wH/ZvsHdVNFRL+06CNiWB+l7FlwFLAb8ERJ1wK32H64arKIWCkt+ohYZ5L2YLr7/gDgLtuH100VEZCd8SJiHUnaibLt8N7AAuAXgAeqhoqIldKij4ihSLqY0oL/CXAt00vrbnV+sES0Rgp9RAxF0jHANba/VztLRAyWQh8REdFhGaOPiIjosBT6iBiKpB1qZ4iINUuhj4hhfbx2gIhYsxT6iBiWageIiDXLZLyIGIqku4EPD3pv+6VjjBMRA2QL3IgY1v8By2uHiIjZpUUfEUORdKPtfWvniIjZZYw+Iob10KAXkh43ziARMVha9BGx3km60/ZOtXNERFr0ETEamZEf0RIp9BExCukqjGiJzLqPiKFIOpeZC7qArcccJyIGSKGPiGHdMOS7iBijTMaLiIjosLToI2Iokj7Oql33Bu4BrrI9cMe8iBivtOgjYiiSfn2Gx/OAk4A7bL9izJEiYgYp9BGxXknaEFhie0HtLBGR5XURsZ7ZHrhjXkSMX8boI2IokubN8Hgb4GRy2E1Ea6TQR8SwllAm4E3tgmfgXuBq4NRKmSKiT8boI2K9k7SR7Qdr54iIjNFHxHqi4jBJ5wHfrp0nIooU+ohYJ5L2l3QO8E3gcuCLwO51U0XElHTdR8RQJJ0BHA/cCSwCLgFusL1r1WARsYpMxouIYb0Y+CrwLuATtn8iKS2HiJZJ131EDOuxwBnAUcDXJH0I2FRSGhARLZKu+4hYZ5I2AY4EFgIHA1faXlg3VURACn1ErGeStgCOsX1+7SwRka77iBiSpGdJ2rnn/nWSbgY+AnyhXrKI6JVCHxHDOgP4bwBJR1JOrXshZYnduyvmiogeKfQRMSzb/nFzfQzwfttLbJ8HbFsxV0T0SKGPiGFJ0s9J2gA4HLiy590mlTJFRJ8sg4mIYf0dsBT4IXCb7RsAJO0DfLdmsIiYlln3ETE0STsA2wE32364efZYYGPbd1YNFxFACn1EDKmZcf992z9o7g8Fnk3Z8/4dth+omS8iiozRR8SwLgI2B5C0ALiYsu/93sA7K+aKiB4Zo4+IYW1q+7+a65OAf7R9djM5b2nFXBHRIy36iBiWeq4Po5l1PzVWHxHtkBZ9RAzrc5Iuosyw3wb4HICk7YGMz0e0RCbjRcRQJAl4LrA9cJHt7zTP9wG2tX1FzXwRUaRFHxFDcWklXDDDq82Bo4EU+ogWSKGPiHXWzLpfCBwPfANYXDdRRExJoY+IoUh6EvA84ATgXuBCynDgoVWDRcQqMkYfEUOR9DDwReAU219rnn3d9uPrJouIXlleFxHDeg5wF3CVpPdJOpxVl9xFRAukRR8R60TS5pStb0+grKc/H7gks+4j2iGFPiLWG0nzgOOA59o+rHaeiEihj4iI6LSM0UdERHRYCn1ERESHpdBHBACSflHSZZLukPQfks6RtHHzbpGkWyS9RNLukpZKuknSE2rnjojZZYw+Iqb2rb8eeJftf5K0IfBe4D7gbOB62zs3X/sKyhG1r68WOCLWWgp9RNCsgX+97UN6nm1J2c72XmBH4KvAJcCpwEPA7bYPlXQScDqwMeXDwh/ZfkjSj4BzgCOB/wOOtv09SccBr2/+HT+wfUjzweItwG8Ajwb+wfZ7xvBHj+i8dN1HBMCewJLeB7Z/CNwJHAv8h+0Ftt8AvBv426bIP4Vygt3BthdQiveJzb9ic+A623sDXwBe1Dx/HfCbzfOjmmenUIr+U4GnAi+StOuI/qwRc0r2uo8IKDvazdS9N+j5lMOB/YB/L73/bArc3bx7APhEc70EeFpzfQ3wgeYs+481z54OzJd0bHO/FbAbpUchItZBCn1EACynbGm7UtN1vyOllT6IgPNtv3KGdw96emzwIZqfN7b/UNL+wG8DS5uT7wScZvvT6/bHiIh+6bqPCIArgc0knQzQjJmfDXwA+PEaft+xkrZrft88STvP9h+S9ATb19t+HXAP5cPEp4FTJW3UfM2Tmq11I2IdpdBHBE3L+3eA4yTdAdwO/AR41Rp+3wrgNcAVkm4BPgNsv4b/3FmSbpW0jDJ2fzNwHrACuLF5/h7S4xixXmTWfURERIelRR8REdFhKfQREREdlkIfERHRYSn0ERERHZZCHxER0WEp9BERER2WQh8REdFhKfQREREd9v+YkNo1Oghf0QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotBarChart('Offense', df_2017)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Crime by Census Tract"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotBarChartHoriz('Census_Tract', df_2017)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Crime by Weapon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotBarChartHoriz('Method', df_2017)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Many of the fields in this dataset were related to location (e.g. XBlock, Ward,Census Tract, Voting Precinct, Latitude, Longitude).\n",
    "Consequently, it was difficult to find meaningful correlations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pct_Pop_Below_Pov</th>\n",
       "      <th>Pct_Child_Below_Pov</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>CCN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pct_Pop_Below_Pov</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.862961</td>\n",
       "      <td>-0.537340</td>\n",
       "      <td>0.419328</td>\n",
       "      <td>-0.018416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pct_Child_Below_Pov</th>\n",
       "      <td>0.862961</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.522453</td>\n",
       "      <td>0.500101</td>\n",
       "      <td>-0.027470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latitude</th>\n",
       "      <td>-0.537340</td>\n",
       "      <td>-0.522453</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.479755</td>\n",
       "      <td>0.019087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Longitude</th>\n",
       "      <td>0.419328</td>\n",
       "      <td>0.500101</td>\n",
       "      <td>-0.479755</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.027438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CCN</th>\n",
       "      <td>-0.018416</td>\n",
       "      <td>-0.027470</td>\n",
       "      <td>0.019087</td>\n",
       "      <td>-0.027438</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Pct_Pop_Below_Pov  Pct_Child_Below_Pov  Latitude  \\\n",
       "Pct_Pop_Below_Pov             1.000000             0.862961 -0.537340   \n",
       "Pct_Child_Below_Pov           0.862961             1.000000 -0.522453   \n",
       "Latitude                     -0.537340            -0.522453  1.000000   \n",
       "Longitude                     0.419328             0.500101 -0.479755   \n",
       "CCN                          -0.018416            -0.027470  0.019087   \n",
       "\n",
       "                     Longitude       CCN  \n",
       "Pct_Pop_Below_Pov     0.419328 -0.018416  \n",
       "Pct_Child_Below_Pov   0.500101 -0.027470  \n",
       "Latitude             -0.479755  0.019087  \n",
       "Longitude             1.000000 -0.027438  \n",
       "CCN                  -0.027438  1.000000  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2017.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Heatmap to Illustrate Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "sn.heatmap(df_2017.corr())\n",
    "plt.savefig('Images/Correlation_HeatMap.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scatter Plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As discussed above, scatter plots do not illustrate any meaning correlations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Function to Create Scatter Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "def makeScatter(col1, col2, df):  \n",
    "    plt.figure(figsize=(8, 8))\n",
    "    plt.scatter(df[col1], df[col2], c=\"blueviolet\", edgecolors=\"black\", alpha=0.35)\n",
    "    plt.title(f\"{col1.title()} vs {col2.title()}\")\n",
    "    plt.xlabel(f\"{col1.title()}\")\n",
    "    plt.ylabel(f\"{col2.title()}\")\n",
    "    plt.tight_layout\n",
    "    plt.savefig(f'Images/Scatter_Plot_{col}.png')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create List of Variables for Scatter Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Census_Tract', 'Pct_Pop_Below_Pov', 'Pct_Child_Below_Pov', 'Offense',\n",
       "       'Method', 'Latitude', 'Longitude', 'Start_Date', 'CCN'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2017.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = ['Census_Tract', 'Pct_Pop_Below_Pov', 'Pct_Child_Below_Pov', 'Offense',\n",
    "       'Method', 'Latitude', 'Longitude', 'Start_Date', 'CCN']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Scatter Plots for Census Trac"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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JsYiISMn1K6jfCxxvZiNmZsApwM3Aj4BXxnnOBC7sU/pEREQqp1996lcSBsT9ArghpuNs4F3A283sDmA/4HP9SJ+IiEgVzZl5lu5w978F/rZm8l3AcX1IjoiISOXpF+VEREQSoaAuIiKSCAV1ERGRRCioi4iIJEJBXUREJBEK6iIiIolQUBcREUmEgrqIiEgiFNRFREQSoaAuIiKSCAV1ERGRRCioi4iIJEJBXUREJBEK6iIiIolQUBcREUmEgrqIiEgiFNRFREQSoaAuIiKSCAV1ERGRRCioi4iIJEJBXUREJBEK6iIiIolQUBcREUmEgrqIiEgiFNRFREQSoaAuIiKSCAV1ERGRRCioi4iIJEJBXUREJBEK6iIiIolQUBcREUmEgrqIiEgiFNRFREQSoaAuIiKSCAV1ERGRRCioi4iIJEJBXUREJBEK6iIiIolQUBcREUmEgrqIiEgiFNRFREQSoaAuIiKSCAV1ERGRRCioi4iIJEJBXUREJBEK6iIiIolQUBcREUmEgrqIiEgiFNRFREQSoaAuIiKSCAV1ERGRRCioi4iIJEJBXUREJBFz+p0AkW4wMxbPW8HQrPmMTuxg3a4bcfd+J0tEpKsU1CU5ZsYxe72CE/Y5g8Xzj2Ldjuu5YtO5mJkCu4gkTUFdkrN43gpO2OcMli1YBfD4/w27bu9nskREuk596pKcoVnzWTz/qEnTFs8/iqFZ8/uUIhGR3lBQl+SMTuxg3Y7rJ01bt+N6Rid29ClFIiK9oeZ3Sc66XTdyxaZzASb1qa/bdWOfUyYi0l0K6pIcd8fM2LDrdo1+F5GBoqAuSVIAF5FBpD51ERGRRCioi4iIJEJBXUREJBEK6iIiIolQUBcREUmEgrqIiEgiGg7qZraomwkRERGR9jRTU7/CzL5nZm8ws326liIRERFpScNB3d0PB/4GeAZwtZl9x8xe17WUiYiISFOa6lN396vc/e3AccAjwDmtbtjMFprZ183sVjO7xcx+xcz2NbPvm9nt8b9aBERERBrUTJ/6XmZ2ppn9N3AFsJ4Q3Fv1CeBidz8COBq4BXg38IPYKvCD+F5EREQa0Mxvv18HfAt4v7v/tJ2NmtlewPOB3wNw91Fg1MxeBpwUZzsHuAR4VzvbEhERGRTNBPUnubub2Z5mtsDdt7Wx3ScBG4EvmNnRwNXA24AD3X09gLuvN7MD2tiGiIjIQGmmT/0ZZnYNcCNws5ldbWYrWtzuHOBY4FPu/kzgMZpoajezs8xstZmt3rhxY4tJEBERSUszQf1s4O3ufpi7Hwr8eZzWirXAWne/Mr7/OiHIP2hmBwPE/xvqLezuZ7v7KndftWiRvj4vIiICzQX1Pdz9R9kbd78E2KOVjbr7A8B9Zva0OOkU4GbgIuDMOO1M4MJW1i8iIjKImulTv8vM3gOcG9+/Dri7jW2/BfiymQ0BdwG/TyhkfM3M3gDcC/x2G+sXEREZKM0E9dcD7wO+Gd9fSgjELXH3a4FVdT46pdV1ioiIDLKGgnr83ffDgPe6++buJklERERaMWOfupm9EbgJ+GfgVjN7addTJSIiIk1rpKb+p8Az3H2jmT0J+DJhQJuIiIiUSCOj30fdfSOAu98FzOtukkRERKQVjdTUl5rZJ6d67+5v7XyyREREpFmNBPV31Ly/uhsJERERkfbMGNTdvaHHq5rZP7v7W9pPkoiIiLSiqeepz+C5HVyXiIiINKmTQV1ERET6SEFdREQkEZ0M6tbBdYmIiEiTGg7q8YdnpvOJNtMiIiIibWjmgS5fNLMlwM8JD3O5zN1vyD509y92OG0iIiLShIaDurs/Pz4m9dnAScB/mdkCd9+3W4kTERGRxjUc1M3sROB58W8h8B3gsi6lS0RERJrUTPP7j4HVwAeA77r7aHeSJCIiIq1oJqjvR/iBmecDbzWzCeCn7v6erqRMREREmtJMn/pmM7sLOARYCpwAzO1WwkRERKQ5zfSp3wn8Ergc+DTw+2qCFxERKY9mmt8Pd/eJrqVERERE2tLML8otNrMLzGyDmT1oZt8ws6VdS5mIiIg0pZmg/gXgImAxsAT4dpwmIhViZiwZXsnykeNYMrwSM/3Cs0gqmml+X+TuxSD+RTP7004nSES6x8w4Zq9XcMI+Z7B4/lGs23E9V2w6FzPD3fudPBFpUzNB/SEzex1wXnx/OvBw55MkIt2yeN4KTtjnDJYtWAXw+P8Nu27vZ7JEpEOaaX5/PfAq4AFgPfDKOE1EKmJo1nwWzz9q0rTF849iaNb8PqVIRDqpme+p3wu8tItpEZEuG53Ywbod1z9eQwdYt+N6Rid29DFVItIpMwZ1M/tnYMrONnd/a0dTJCJds27XjVyx6VyASX3q63bd2OeUiUgnNFJTX931VIhIT7g7ZsaGXbczNGt+qLnvulGD5EQSMWNQd/dziu/NbA93f6x7SRKRblIAF0lXwwPlzOxXzOxm4Jb4/mgz+7eupUxERESa0szo948Dv078Gpu7X0d4YpuIiIiUQDNBHXe/r2bSeAfTIiIiIm1o5sdn7jOzEwA3syHgrcSmeBEREem/Zmrqbwb+mPC772uBY+J7ERERKYFmfnzmIeC1XUyLiIiItGHGmrqZDZvZmWb2UgveaWbfMbNPmNn+vUikiIiIzKyR5vcvAS8k/M77JcBhwL8AW4EvdithIiIi0pxGmt+PdPcVZjYHWOvuvxqnX2xm13UxbSKVZWYsnrdCv9omMgPdK53VSFAfBXD3MTNbV/OZvtImUkPPLBdpjO6VzmskqC81s08CVnhNfL+kaykTqSg9s1ykMVW6V6rSotBIUH9H4XXtw130sBeRGnpmuUhjqnKvVKlFoekHukzFzP7Z3d/SfpJEqk3PLBdpTFXulSq1KDTzi3IzeW4H1yVSWXpmuUhjqnKvVKVFATob1EUEPbNcBks7fc1VuVeq0qIACuoiXVG2TEmkGzrR11yFe6UqLQrQ2aBuHVyXiIiUXJX6mttRlRYFaCGom9legLv71pqPPtGZJImISBVUqa+5XWUM4PU0/JQ2M1tlZjcA1wM3mtl1Zvas7HN3/2IX0iciIiWV9TUXlbWveVA0U1P/PPBH7n4ZgJmdCHwBOGrapUREJElV6mseFM0E9a1ZQAdw98vNrLYJXkREBkSV+poHRTNB/Soz+wxwHuDA7wCXmNmxAO7+iy6kT0RESkwBvFyaCerHxP9/WzP9BEKQP7kjKZKOq8pvFouISHsaDuru/oJuJkS6o0q/WSwiIu1pOKib2d6EWvrz46QfA+9390e7kTDpjEH5HqmIiDTxlTbC6PetwKvi3xbC6HcpsUH6HqmIyKBrpk/9ye7+fwrv32dm13Y6QdJZVfrNYhERaU8zNfUd8bvpAJjZcwFFhpLLvke6ZttqRsdHWbNttb5HKiKSqGZq6n8InBP71gE2AWd2PknSSfoeqYjI4Ghm9Pu1wNHxt99x9y1dS5VMqZWvpymAi4gMhhmDupk9BzgbeDJwA/B6d7+l2wmTJ9LX00REZDqN1NT/FfgL4FLgpcDHgV/vZqKkPn09TUREptPIQLlZ7v59d9/l7v8JLOp2oqQ+fT1NRESm00hNfaGZ/dZU7939m51PltSjr6eJiMh0GgnqPwZ+c4r3Diio90iKjznU79KLiHTOjEHd3X+/kRWZ2Znufk77SZKppPb1NA38m54KPCLSrGa+pz6TtwEK6l3W70y9k4FGA/+mpgKPSGsGvTDcyaBuHVyXlFCnA40G/k1NBR6R5qkw3NmgPhhHbIB1OtBo4N/UVOBpzaDX0gadCsOqqUsTOh1oUhz41ykq8DRPtTRRYbi556kvd/e7p5n2k46mTEqn04EmtYF/naQCT/NUSxMVhpurqX8DOLZm2teBZwG4+580u3Ezmw2sBu5395eY2XLgfGBf4BfAGe4+2ux6pTu6EWgUwOtTgad5qqWJCsON/fb7EcAzgL1rfoRmL2C4ze2/DbglrgvgQ8DH3P18M/s08AbgU21uQzpEgaa3dFybo1qaKI9qrKb+NOAlwEIm/wjNVuBNrW7YzJYCLwb+AXi7mRlwMvCaOMs5wN+hoF4qg3RzVM2gDxJTLU1AeVQjPz5zIXChmf2Ku/+0g9v+OPBOYM/4fj9gs7uPxfdrgSUd3J5IsjRITLU0EWiuT/3NZnaLu28GMLN9gH9y99c3u1Ezewmwwd2vNrOTssl1Zq17N5rZWcBZAIceemizmxdJjgaJBQrgMugaeUpb5qgsoAO4+ybgmS1u97nAS81sDWFg3MmEmvtCM8sKGkuBdfUWdvez3X2Vu69atEgPjRPRIDERgeaC+qxYOwfAzPalxe+5u/tfuvtSd18GvBr4obu/FvgR8Mo425nAha2sX2TQZIPEijRITGTwNBOU/wn4qZn9J6FZ/FWEQW6d9C7gfDP7e+Aa4HMdXr9IkjRITESgiaDu7l8ys9WEpnIDfsvdb243Ae5+CXBJfH0XcFy76xQZNBokJiLQ2PfUh4E3A08BbgA+XRihLiIloQAuIo30qZ8DrCIE9BcBH+lqikRERKQljTS/H+nuKwHM7HPAVd1NkoiISH9U/UecGgnqu7MX7j4WfvhNRKR3qp7RSjWk8CNOjQT1o81sS3xtwPz43gB3972mXlREpD0pZLRSDSn8iFMjPxM7uxcJERGpJ4WMVqohhR9xaubHZ0REei6FjFaqIYUfcVJQF5FSSyGjlWrIfsRpzbbVjI6Psmbb6sr9iFNLP/MqItIr+rU86ZUUfsRJQb0kNLpXpL4UMlqpjqpfVwrqJaDRvSLT030g0hgF9RLQ6F6RNKjFTfpNQb0ENLpXpPrU4iZloKBeAtno3qyGDhrdK1I1anGTMlBQLwGN7hWpPrW4SRkoqJeARveKBFXuk1aLm5SBgnpJVCXjku6pckDrhKr3SXeixW3QrwFpn4K6SAlUPaB1QtX7pNttcdM1IJ2goC5SAlUPaJ2QQp90O8G3jNeAWg6qR0FdpARSCGjtGvQ+6bJdA2o5qCYFdZESGPSABvoWSNmugTK2HMjMFNRFSmDQAxroWyBluwbK1nIgjVFQFymBQQ9omUHb36KyXQNlazmQxiioi5TEIAc0Ccp0DZSt5UAao6AuUgEahSy9VraWA2mMgrpIjzUboDUKWfpF11f1KKiL9FArAVqjkEWkUQrqIj3USoDWKGQRadSsfidAZJC0EqCzUchFGoUsIvUoqIv0UCsBOhuFvGbbakbHR1mzbbVGIYtIXWp+7xCNTpZGtPI1IY1Cnkz3msjUFNQ7QKOTpVGtBmhdR4HuNZHpKah3gEYnSzMGPfi0U9PWvSYyPQX1DtDoZJHGtFvT1r0mMj0NlOsAjU4WaUyxpj00e4hlC1aFAD9vRUPL17vXPnv3axid2MHykeNYMrwSM+tG0kUqQTX1DtBvJEurBm3QV7s17dp77bN3v4aF85Zw/MLXsnTkGPWxy8BTUO8AjU6WVgzioK92n/z1hHuNHRy/8LU8ac/jgMl97INWYBIBBfWOUWYhzRrEQV+daNUq3mvLR45j6cgxkz5fPP8o5tjQwBWYREBBXaagWk73DeKgr2ZatRq5Bqeq+Y/56MAVmERAQV3qGMRm4X5otym6qhq5hhq9Bqeq+e8c3zpwBaZOUGG++hTU5QkGsVm4HzTAcmqNXoNT1fwXz1sxkAWmdqgwnwYFdXmCQWwW7gcNsJxaM9fgVE33KjA1R4X5NCioyxMMarNwPyiA19fxUfJ9KDBVrSlbhfk0KKjLE6hZWPqt06Pke62KTdkqzKdBQT2qWqm6m8pQy5HBVvVrsJdN2Z3Ku1SYT4OCOr0tVVel8FDGNMlgKfM1ONN93Kum7E7mXVUvSEmgoE7vStVVbJITkckauY971ZTd6bxL+VD1KajTu1K1RpeKVF8j93GvmrI1uE1qKajTu1K1bkCR6mvkPu5VU7YGt0ktBXV6V6rWDShSfY3ex71oytbgNqmloE7vStW6AWWQVGVQaLPKdB9rcJvUUlCPenET6AaUQZHyoNCy3cdVP57SWQrqPaYbsH2p1gBTkvqgUF1vUlYK6lIpKdcAU6JBoSL9oaA+BdUGyyn1GmAqageTrdt+C3ds/wnjE6MsGV6p+0mkSxTU6/k4owMAACAASURBVFBtsLxUA6yG4mCy2TbEfTuuY+f4Fp63z5tYOG+x7ieRLlFQr2O62qBq8P2lrwVWQ3Ew2Rwb4tD5z2T5yLNZufA3Hp9HrSsinaegXseUtUEbVg2+z8r0dSKZXnZPLB85jtMO/EuGZg89/plaV0S6Q0G9jilrg76zMv25qbYolO3rRDIzta6I9I6Ceh21tcE126/iqk1fYefEVm7d+iO2jT/Cir1f+PjnZatxpD4mIIV9GCRqXRHpHQX1Ooq1wbk2jwmfYMnwCl606J3sPfdg7tp+FTc+Civ2fmFPahzN1ro1QlzKRK0rAum2HpaNgvoUsottyfBKXn7Q+1m2YBXrtt/M5rF1PGnkOG7d+iMWzN636zWOVmrdGiEuZaPMe7Cl3npYJgrqMygGyMUjR8J22LjrTu7a8TNufexHXS9ttlLrVh9ma1STEOkOtR72joL6DGoD5OKRIxmd2M7oxA7u33lD17ffSq1bfZjNU01CpHvUetg7Cuoz6HeAbKXWrT7M5qkmIdI9aj3sHQX1GfQ7QLZaqFAAb45qEiLd0+/K0SBRUG9APwNkvwsVg0I1CZHuUT7WOwrqFaALv/tUk2iNBhdKo3Rd9IaCunRF1TJ71SSap8GFIuWjoC4dV9XMvsxpKyMNLqyWqhW0pTV9CepmdgjwJeAgYAI4290/YWb7Al8FlgFrgFe5+6Z+pFFap8x+MNQbXPjQrjXMsSGWjxynwFEiVS1oS/Nm9Wm7Y8Cfu/vTgeOBPzazI4F3Az9w98OBH8T3MgUzY8nwSpaPHMeS4ZWYWb+TBLQ+krys+yP1ZYMLM1dvugA3Z8n8lbzxsPN4+UHv55i9XqHzWALFgvbQ7CF2+y72nnMQhw4/U/daYvpSU3f39cD6+Hqrmd0CLAFeBpwUZzsHuAR4Vx+SWHplLnm3MpK8zPsj9dUOLtwxvoktuzdw9F6/ydDsIbXQlEixoH371p/w4K7bePbCV7Hv3KUcPPx03WsJ6XufupktA54JXAkcGAM+7r7ezA7oY9JKrcxN3K2MJC/z/kh9tYMLxyZGOW3Ru3nSguMen0ff9S+HYkH7/p03sGLPX2f2rCHmzB7WvZaYvgZ1M1sAfAP4U3ff0mgTkJmdBZwFcOihh3YvgSVWlh9LmWrwTbMjycuyP9Kc4jldMrySodnzJn2u7/qXQ7GgPTq+nVnM5p7tV7P/3GWA7rWU9C2om9lcQkD/srt/M05+0MwOjrX0g4EN9ZZ197OBswFWrVo1kO1FZfixlE42mZdhf6Q9Zf6u/6CP/C4WtGczh7mz5rNsZBXLFzwb0L2Wkn6Nfjfgc8At7v7RwkcXAWcCH4z/L+xD8iqhDBloJ5vMy7A/0p6yfte/2+M1qlJgyNJkZuy3aznLR57N6Pio7rXE9Kum/lzgDOAGM7s2TvsrQjD/mpm9AbgX+O0+pa/0ypCBdrLJvAz7I+0r4/nq5niNKg7w1L2Wtn6Nfr8cmKoD/ZRepqXK+n0TdrrJvN/7I2nq5niNqg7w1L2Wrr6Pfpf6qtCkpyZzqYJujtfQAE8pGwX1EqpKk56a8aQKuln41ABPKRsF9RKqUpOeAnhaqtBC1KxuFj7VWiVlo6BeQmrSk36oSgtRK7qVfrVWSdkoqJeQmvSkH6rUQlQmCuBSJgrqJaQmPekHtRCJVJ+CegmpSU/6QS1EItWnoF5S/QjgKQ6SksaphSgtup8Hk4K6AGkPkpLGqIUoHbqfB5eCugAaJNWq1GpDxbRn+7Z85Lgk9m2Q6H4eXArqAmiQVCtSrg2lvG+DQPfz4FJQF0CDpFqRcm0o5X3rh1636Oh+HlwK6gJokFQrUq4NpbxvvdaPVo9U7ufUurd6QUFdgOoOkurnTZ9ybSjlfeu1frR6VPV+LlIXUGsU1OVxVbtR+n3Tp1Ibqiflfeu1frV6VO1+rqUuoNYoqEtltXrTd6p2n0JtaCop71uvqdWjNeoCao2CulRWKzd9p2v3VQlyrRRkqrJvZadWj9aoMNQaBXWprFZu+kFs0ut3N8Wgm6nVQ4PB6lNhqDUK6lJZrdz0qTXpNRIQBrEgUzZTBWkVuKamLqDWKKhLZbVy06fUpNdoQEitINOuegWhftWUVeCangJ48xTUpdKavelTatJrNCCkVJBpV21B6O9vfTbH7PUKjl/4WpaOHNPzmrIKXNJpCuoyUFJq0ms0IKRUkGlXbUFo33lLOGGfMzh05FhmzZrV85py6gUujRfoPQX1ATaoN1wq+9hoQEipINOu2oJQv2vKKRe4NF6gPxTUE9JMkNYNV33NBIR2z2kqBcDaglD2/tCRYx+fp5c15ZQLXL0aL5DKtdkpCuqJaDZIa4BO9fUqIKRUAKwtCD2y636u2HQuEz4xqU+9lzXlqh3DRvWiFSSla7NTFNQT0WyQ7nez46DpVm2iFxlXSgXA2oLQvvOWcO2WC5KsKXdTI9dzL8YLpHRtdoqCeh91MqNvNkj3a4BOyk1lU+1b1WsT3S4A9vqaqMIxL7NGr+dejBdQ5eSJFNT7pNMZfbNBuh8DdKoe3KYz3b5VvTbRzQJgytdEqhq9nnvRPZT6twdaoaDeJ53O6JsN0v0YoFP14Dad6fat6rWJbhYAU74muqmfLV7NXM/dTlPK3x5olYJ6n3Q6o28lSPe6JlT14Dad6fat6rWJbhYAU74muqXfrRtlup5T/vZAqxTU29BOabkbN0Yj2+5nCb9MmcFMmj1O0+1bCrWJbl0jZbsmqjDmo9+tG2W7nst2fvpNQb1F7ZaWB7FPu2yZwVRaOU7T7ZtqE1Mr0zXR7/ujUf1u3Rik67kKhbxaCuotare0PIh92lXJDFo5TjPtW9n2sSzKdE30+/5o1HStG70KQoNwPTdTyCtT8FdQb1EnSsuD2Kddhcyg1eNUhX0ro7IctzLcH42YrnWjCi0NVdFoIa9sLTwK6i0qW19gI6qY5n7QcRpMZTvvU9X+pmrdqEpLQ1U0Wsgr23FXUG9RmfoCG1XFNPeDjtNgKtN5n6n2V68GuHzkuEq0NFRFo4W82uA/MTHBQbEwtmR4JZu4k+07t/cs3QrqLSpTX2CjqpjmftBxGkxlOu+t1P7K1tIwnTL1QU+l0UJe8bhPTEwA8MCuGxmd2MHLD3o/V2w6l5HhkZ4FdgX1NpTtImxEFdPcD/UGwiwZXlnqTEjaN91TDXsZhFrp3y9TS8N0etkH3c55a7SQVzzuB81bwQPx/bpdt+SFsQd61xSvoC4yg7INhJHe6sf5b6XWXaaWhun08pGs7Z63Ruarf9xv4f89426g910gCuoiMyjbQBjprX6c/1Zr3WUL4PX06lsGvTxv2XFfMrySlx/0/r52gSioi8ygKl91ku7ox/mvSq27Fb3q++/HedvEnXULY5u4s2vbrKWgLjKDKg1Aks7r1/lPIYDX04m+/7I8z73W9p3bGRkeYcMDeWFMo99FOqzdQU5VGYAk3aHz31nttkKU6Xnu9fQygNejoC4d060Rwu2st1ODZVJtCpWZ6fw3rtF7dbpjN9M6yvQ89zJSUJeO6NYI4XbX26nBMqlnBDI9nf+ZdSIPaGQdZXqeexkpqEtHdGukabvr1SC36VXhR0Ckuzp1DXQiD2hkHRrjMj0FdemIbgXPZtZbL3NaPG+FMoAp6Pv30slroBN5QCPr0BiH6SmoS0d0q/Tc6Hqnypyu3XLBwGYAneqblHR18hroRB7QyDoGta+8UQrq0hHdKj03ut7pMqdrt1wwcBlAp/smJU2dvAY6kQc0uo7U7992KKhLR3Sr9NzoeqfLnAYxA1DfZPvKNt6gG+np5DXQiTxAtfD2KahLx3TyxitmYIvnrZjxxlaAmkx9k+0p23iDbqWn09dAJ46NAnh7FNS7pGyl/H5q9li0koEpQE2mvsn2lG28QbfS08w1oDytGhTUu6Bspfx+auVYtJKBKUBNpr7J9pRtvEE309PINaA8rToU1LugbKX8fmrlWLSagSlzyamQ056ydef0Oz3K06pDQb0LylbK76dWjkW/M7BUKIC3rmzdOf1Oj/K0yeYNzWP/WU99vMD80MRt7Brd9YT5Lr/8cr5z/g/ZuH4ziw5eyEtefTInnnhiV9OmoN4FCkq5Vo5FvzMwkbK1dPQ7PcrTcvOG5nHk/Bc/oSti3tC8SYH98ssv57yP/pBVh5zGC45ezrqH7+a8j14M0NXArqDeBbVB6d7tV3Plpi+zbexhlgyvrFwzaDsDZFoJ0P3OwESgfC0d/UyPCtq5/Wc9taGuiO+cHwL6IQc8BSD+P43vnH+xgnrVTApKNsyY7+aAoafwzsMvq9wAk3YHyLQaoMt8bAZ9FPCg7/8gSr2g3cw13WhXxMb1m3nB0csnz7ffci6/bnNnE19DQb1LsgtiyfBKXn7Q+ys7wKQTA2TKfOP34ut2KRn0/R9kqZ7fZq/pRrsiFh28kHUP3/14TR1g3cN3s+jghd3bGRTUu67qA0yqnv7p9OrrdikZ9P3vFLV2lEez1/RDE7fV7Yp4aOK2SfO95NUnxz7001i8X+hTX33fxZz+9pO7tzMoqHdd1QeYVD390+nl1+1SMej73wlq7eiPqQpSzV7Tu0Z3MW9o3qSuiHqj37N+8++cfzGXXxdGv5/+do1+r7yqDzCpevqno6/bNW/Q978T1NrRe9MVpFp5PHO9r6/Vc+KJJ3Y9iNdSUO+yqg8wqXr6p6Ov2zVv0Pe/E9Ta0Zp2uiymK0ildk0rqPdA1QNg1dM/FX3drnmDvv+doNaO5rXbZTHTUxxTuqYV1GVgpfh1u14Y9P1vV2o1w15ot8tipoJUSte0groMtJRuZqmG1GqGvdBul8UgFaQU1EVEekwBvDntdlkMUkFKQV1EREqtEzXtFAN4PQrqIiJSaoNU026XgrqIiJSeAnhjZvU7AbXM7DQz+6WZ3WFm7+53ekRERKqiVDV1M5sN/Cvwa8Ba4OdmdpG739zflImUh343XESmUqqgDhwH3OHudwGY2fnAywAFdRH0u+EiMr2yBfUlwH2F92uB5/QpLSKlo98NF5HplK1P3epMe0L1w8zOMrPVZrZ648aNPUiWSDnod8NFZDplC+prgUMK75cC62pncvez3X2Vu69atGhRzxIn0m/Zj3AU6XfDRSRTtub3nwOHm9ly4H7g1cBr+pskkfIYpJ+7FJHmlSqou/uYmf0J8D/AbODz7n5Tn5MlUhr6EQ4RmU6pgjqAu38X+G6/0yFSVgrgIjKVsvWpi4iISIsU1EVERBKhoC4iIpIIBXUREZFEKKiLiIgkQkFdREQkEQrqIiIiiVBQFxERSYSCuoiISCIU1EVERBKhoC4iIpIIBXUREZFEKKiLiIgkQkFdREQkEQrqIiIiibCqP5vZzDYC93RwlfsDD03xvtnX/Vhe29Q2tc1006xtVn+bnXCYuy+q+4m766/wB6ye6n2zr/uxvLapbWqb6aZZ26z+Nrv9p+Z3ERGRRCioi4iIJEJB/YnOnuZ9s6/7sby2qW1qm+mmWdus/ja7qvID5URERCRQTV1ERCQRc/qdgG4zs6cBXy1MOhLYBUwA64BlhOMwK/7tBh4DFsb5x7JVAbMBj68BRoGhOI3C9Kl4XP9Qnc92A3Mb2KVs+8V00OB7gO3AHjXrHAe2AnvxxILeGJOvk1Hy4zUBbIvL1dod55ldZ/qcKfZhKmNxXUb9fax3THYSjvNMBdd6524iTq9NO4RjZUxOixfSWLuMAzuAkcK04jEomojrqG0+q52vuJ9TpTVbV3GZ8bjd2n32OP844RosTq93frJ119vGVOnNtl1Ptp2J+D5bd+0xzrZdu6+jddI9Rrim9yG/NkbjshNMvgc3AwvqpG89cGAhTcX0UtjeWCFNXkh/veWytBSXr91XCMeLOvuaKV4rxf2+BziM+ucAnnhupzrHtdOL59rJ97PevMV1FK+5bJkx4E7gaTXzjgI/B57LE8/ldkI+U9zOaPx8qDB9FzCvsL1sm7X5Rr3rqNY44WtoB9Qs/2BM05Ka+XcS8sP9CvNvB34EnAd8rpC20939qwBmdjFwPHC5u79khjTNKPmaurv/0t2PcfdjgGcRbvTfAe5z96e7+3zgfsJBfxD4W8LFMxFfO7AF+AUhM94JvCpOn0s48dcTTt5VhALBRPx7S0zG7rj8trjMg3HaKOGE74jT7wPeS34zfD5+thm4N/4fJ1xQH4+vx4F3kl9Er4ifG3B6XH4UuAP4v4SA/j3gyrisA18nFGIm4nEYJc9UbgM2AbfHtA7Fz94E3BSP1U3khZ8TyW/ku4Br4nrXA98l3EgGvCMu43Hftsf9+++4vVHgYeD7hOt0F3Bh3MaNMV3ZTbsOeCR+Nhb3OQua98R57gc+Wkjnl+P5IK77ezHdX4/pmB3Tfl2cZzvwP4VtrIvp3gY8ENc/Kx7nt8f5PK53OK77TuDqwrEdB24G1gCXkQeDfyNkJmMxPVnGtiCmbYJwHWYFjLuAW+I6H43HIsvE3x/3bxvh2icuewv58Z8AriWc293x2GSZ7Bfi/Bvjcb08bnNLYXkHzorzTwA3FLb/R+QB66Vx/WPx7yeF45Slfyvhfsq2MUG4DrL5st+kGAP+KaZtNvCRwr4Mx2l7Ec7bbXGZWXE/5hLu09G4nrvi8dlNuDd/Guc/IP7/ILCB/NxkhfM/Ig/e/0AeQH47pn9WXO9342c7Yzqze/UXhHP4GOEaygpoO2KaINwLm+Lr7cB74usJQn6xk3DOx+JxWhbTegv5vXFfTC/A+8jzp5/E7d8e93tdXGYX4TyMEa7/D8d92Ql8K66fOM/6Qpq/El8/Eo9Tdg6Xx/mzY3BfnPZI3BaEe+AthPwD4C+B/42vf4Nw7WfbvIk837007tvGeBzmxnW+MR63DfG47I7THysci7GYnjXx/zVx/Tvi61nAnoT7+WbC9bKJkFceSLie7yW/D7JC44Nx/4oVuIMI+daz4uefI/dh4Aw6JPmgXuMU4FbCCQLAzIxwgrYQMt2j4ke7gScTTsBehCA2m5D5/VacZ5xwASyIy19DqJFNxOknx9ePxulzCTd5lslvJpz0LNDcH+fNbro74ucbCRllllHsBvYmv2k+Epd3d/9WYflnMDnjWhrnuyQuv4FwMR6ZLQ98ljzwjhMyxNG4/CFxvvXAF4GnkpfgZxNuiGINYnc8DhAyjJXx9fZ4LLLgNBz/309ea3k4LvNgnHYP8Jw43zzyGzP7nxWwslpTlnFujP8XEoJyVkDICkhOKAAsidMOi+khvr4hvt5AXhvMWgEOLOx79kMQN8flJ+Jx2zMu82hc7gvx86wQ8j3gbsK1Rpz3LcC+hAzjpHhcxwnXYfYDFrvitrPr7/Y4/SryVieP+3AjoTCXBcftcb/mxHTuiukkpnkV+bV2QZzvZ4RrbX/ylp3Z5Mf/W+QZ2Nfi8mPA6jhtLB6/uTFdm8hbptYRajezgF8C82O65pHXuHfHdX4mLrMVOCKuYyuhAEucb7+4T7PjOsfj9NqWnPH4eXZdz47H9w/JWz+yfb4oTstas24GDiW/T06K63DgmfH1BCGIZIWYbcCvkhc+Vsd13U3IH7K0ziMEvjHCecmC+q54bLLgOE5+r++OnxGnZ/nKorjcePz/nJjm3XFfs4LOfXHfisdodjyW74rvNxHuUeI8a2K6s+C4Z9zOo/G4Adzm7mvIC3YPkZ/7+YXj8yB5YWEC+BDhOiIes6yGv5VwjUDIb4+I0x4gr3mPE87XHoR7KCv4bSVc+5vi+/vjcTg/pmdj3IeLCC082TF4OvBDwj2bFQrHCYWi7BreFY/H3sDX4j5vivu8kJBX/lNcxyZgnpkdDODuPyAvcLevV1+IL8Mfoeb7J4TS7I1x2vMJmd62eLCzGs0WwsWZNfHsR7iothSm/ZxwUawnlLrvYXItajTOn9W0nHARbyOv4WRdAVktJystTzD5hs1aDLJa2Nb4/1PAKwvr31BY/tHCuncTLjoH/oCQkTxEXsrO0rixsN0x4MfxuOwkr0mMA4eTB8X74//twL8Ulh8vzFNcdifhJq79PDteWXo3xjTuimnZFOe7K56zscK2snUUa2DbC+sfJ6+9ZJ89UPgsm56lb4xQALw0fvYooVCQbXNjYZsPxeO+ubD8RNyX6wvHZjchsGa1mQlCzauYxqzmlp2XHXHaNkKhdDd5LWussM3sb1chXdnrbN+ylqcsM3PyQlNWK54oLJMtN1Y4x/fHfc+ut+zcZMvdCPxjIT3Z9T/K5Gv3EfL7oHgdrI/HPVv/diZfP/sV0la8j7I07CAUSu6tM8+uuP5RQsDIpj8a58vumU8Xtp+d99+P77PzeTehYJsd5+zYTpC3XGXB957C++Lx3UJe4BgtfL6bcK1nhZ/i9Z3tz3pCXrG7sEyW51xQOL+1eclEPP67yPOcKwrHOTsP2ft7gf+KrzfGY1O89ovnLwvu2+J/JwTM5xTm/3FMd7YvY4XXf11zPrPr9/t1tpft82hcbqzw2bbC8TyfEEyL67wjvr8onoMXFPY1y4eK996OuM+3FY7hN8mvmXFCy+cthX18MB6D3YTC23cIrRDL4rm7H1hViE0nAd/Rj880wcyGCM0l/1nz0enkTZpHEDLLEULmBPlF/lNCqe3OwvS9CTfIfoQgl02fQ6jxzonr2llYz1xCKXozefC5j7ykmJWEtwF/Q17C/924vn0IgeE/4ny/SijVzo7z7kUelMbIS+MfIO8f9Dht35iuP4jTNxKarUYJJcxNhFrHfEJwM0JmPEooLWfNxR6Xf4BQy8m2cQMhU4RQs9kZl8maqrN+1IfjtNnxuN8aX19JKDnPjWnJClBLCTWQ2YSmzSvIWz6ysQ+z4/78gnAjbyevgW8gBM79yDPCdYRzuZm86f5+4Ji4zH8X1p11D+wiZAojcblh4FzyGn12zonpvI28hp61YPwOocbxKHkNO2vhyVozNhJqHV8gb7rfg3B+R4AvxWmzCAXNrXH7D5I3J0Io0E7EY3FrTP8BcdoIee06q31nBcAJ4GBC18Em8gLu3YRrM6u1OeHcvCqmZS15xrcDeHfc5oK4H9nYjqxGk9UssxYl4vxZDW6UkEHW1kwnCDWprOn9XPJr/Rbywus9hFowhBa5HeRjIbL1fAZ4A/l5+yahv/NtcdqKwrpWkLdM/RV5U/xj5C1EQ4SWgFnkLSUQ7oespWB73P8byVuOsmtnFnkBfj3hPI0SWg/2Jw9eWTfTGOH6yboKs1aurHvL43G7l3A+nVAIuoVwrraTd4XsjGk/Kb7fHtedHcOvEq7bx+L6shaCq8mD+imELpudcR+PJL/3X0ueP+yOxzhzB3nT/CnxfxZ4H43L/5I8n/xu3Nd7Ca0DQzG9vwH8Mfl9DqGLEUIBLdtWdu2Oxf16OO7LVkLX2KcJAfm/47qeR2hi3xT35ymEgh+EVq3NhEpkdm1lrR/HE/LwbJsdNzBBHXgR8At3fzCbYGZzCE3pxwI/i589CODuJxCaRrPmwv3jYisIF5sRTmRx8MYi8pLnWvLmtTFChp71nd9PyNDmEjLhvePyx5DXQOeQB+YhQokzy9AfIM8QjyD/DqQR+mb+I677Z+T96y8n7xN2QmaeXVSfjP8PitvJbtqHgR8QCh0nx+3uIGQS55NnOlnT8zJC5r4mHoPvE26G7YTMKOvDvo68fzurlWel4v3Im5IPKyyzkBAMDoz7tj95ISnr79yHyYPjDiB0QcyLf1kmN0S4cbP07yAc973jdorBNWuWPoUQCLLa277kzaZZH+0QcELc7x01abmVvMke8oB0EHkNB2Dc3a+Mr2fHdGcDEReQn8+VcX1zCQWD7Bp8Lvm1sYjQqjGHvCk1y4CeSrhOsoJMVnu6nbwbZAfwbPLC2yOEa8AI98DB8TjMKuzPXuRdCYcQxohYPE4PFfbzk+T9xteQD6zMujOyAW3fJA/62T5k+3oxebP8c8iP9QbyptinF5Y5lHCO55IX8LJguy0u8xeF7UO4/s8nFNKzoLk17vcB8TjMIS9IGeE+zvKLUfLWgR3kwe5JhfTuSagsfIW8e204rms+eRfOgriOCfKC5zB5C9Ou+P6/yAPn1sJ61sTtjREC0so43xxCvjaHcO0cHteTdeFkfdKPxn3O7okXxvn3JBQERgn3wbGE4Ofxs58VjufceOwA/jW+tnhesj70Le5+BGHcDeQFpG2E+/Sf4/vsPM0Djo77Oo/JFaw9CHmxE+6X/yDcI5A3eb+scFyuIC8IzYrpvYdQIZxNqCQAjLj7RvIup+vd/Wdx2d8jFDQ+T95dtzZu90OEgsdBhHuu4wYpqJ9OXkLLnErIbLOBbBBGZI6Z2X6ETAPCSXg/ecbzUfL+47sJF1p2E2XNRy8ntAoY4cJ4hMn9L9kgp0MImSqEC/xZhItnLaEkm92YXywsvwchmEPI8J4fX28nDKw6Nb7fSl7r/jx5U2hxYN0nCbX9LF0vYnIz7D6ETHpL3J+FhAzo2+T9u5+K8xqhVP9Y3IfPEjLSLAjPLcy3Ji47TLhZs8x2KyEwGqE0m7kmHlPIm6YhBKenM7lJMMvkHorpzDKmLBhlNaosQA4VXl9G3sy2jdBCAeH8ZTWmrIVhDvmgwvvj9C/FfRoiH6zlhMC7i7z2fURc5xpCkM3Ox2Nm9iryGsw3yPulX0HeAnAhedPsEYSaIoRrNWtWnUsYwJU1jX6MvAnywnh8F5DX0olp+Tnheh4lXFvZPo+TD2T6bULrD/HzdxHug6x5F0Jm9r/khcdHCJnuOCEjzTK855Dfh+PAOXH+HYTrae+4jscIGXrWxHoT+TlfSX5eX0TecpW1hEG4N24g76/PCg4LCC102+P768hbA44gNNP+Y1zHupiOFYSaWTauYCl5i8JvkndrXBGP9xDhHvgn8gLSP5BzQiEpyz+ylqnt5EFtJ6HAmDWfXx3XlVVUJuIxfWZcfl78LBvc+gzydgkjhgAABR5JREFUWrgDf1c4fs8m3K/j5N0F2bcBPhO3nY2hya753yMf4PerhNryHvGzi8n77n+NvPvp7TFt2WC07Fq5m1DpGCf0Nz+NkM9CKIBvIdxLDxCuPSdUIh6M2/lsXOfewB1mdiL5SPODmDx+JmtheSnhOv8w+Xn93zg9q0A54Z7IavHEz4bMbO+4vw58M24zay26iHB/TBDy958SCrh/RrhmHnX39XRDv/u5e9SXPkLI1PcmBPb15F9d+zIhA72G0Byzm/xmyfrLik1ZPs1fsW+22JdVnGf3DMvO9Fe7vqnSVG/6+BTbHyU0kRWXGZtivV4zz7pptlVvejb6ud6xmZjidaPTiq9H68zbzHGa6XjX63uuPYfZ+1010x9icl9vcf4sIGfX22idbddua6r9rj02WWtIvWNfe86nmseZ/A2P2mMz1fbr/e3middjsX+9tl94qvVkx6x4THYQ7uvi8uPkI65r17GlzrSbCBlyvXuh9lxn659pn+v9TXXv15uebWeqbTW6/ayVrHY749Nsu5E01/vL0pR1Cz5GXnuuPY/b6yy7k6nv56mmF7c51TXc7Hkq7nvtdZtd+7X3xTbCtfhYzTHbDbwhxqfLyL9dshb49XbinX5RTkREJBGD1PwuIiKSNAV1ERGRRCioi4iIJEJBXUREJBEK6iIiIolQUBcREUmEgrpIRZnZQWZ2vpndaWY3m9l3zeyp/U4XgJldYGbXmtkdZvZofH2tmZ3Q5nr3NbM3dyqdIqnR99RFKig+XfAK4Bx3/3Scdgywp7tf1tfEFZjZScBf+BTPiTazOe4+Vu+zKeZ/CvB1D49SFpEaqqmLVNMLgN1ZQAdw92vd/TIze4eZ/dzMrjez9wGY2TIzu8XM/t3MbjKz75nZ/PjZW2NN/3ozOz9O+zsz+4ts3WZ2Y1zHHmb2X2Z2XZz2O80m3MzWmtl7zOwnwCvM7M0xvdeZ2X8W0nWQmV0Y03WdmT2H8Gzzp8Va/wfbOYAiKZoz8ywiUkIrCD9nPImZvZDwQIvjCL+JfZGZPZ/wm/CHA6e7+5vM7GvA/yE84OLdwHJ332VmC2fY7mnAOnd/cdze3jPMP5XH3P25cR37FVobPkj4TfFPER748X13/5f48KWRmNanqKYuUp9q6iJpeWH8u4bwkKIjyJ9adbe7XxtfX014IAaEZx582cxeR/7QiqncAJxqZh8ys+e5+6MzzD+VrxZeH2Vml5nZDcCrCQ8egfAwl88AuPuYu29pcVsiA0NBXaSabiI80a+WAR9w92Pi31Pc/XPxs12F+cbJW+peTKgVPwu4OtaKi88Zh/ioUne/Lc53A/ABM3tvi+l/rPD6S8AfuvtK4O/JH4sK4eEXItIgBXWRavoh4RGVb8ommNmzCU8be72ZLYjTlpjZAVOtxMxmAYe4+48Ij+TNnlu/hvBcbMzsWMLztzGzxcB2d/8P4CPZPG3aA3jAzOYCrylM/xHw5rjd2Wa2F+FRnXs+cRUiAupTF6kkd3czewXwcTN7N+ERk2uAPyU+vzkMkGcb8Dry50PXmg38R+wbN+Bj7r7ZzL4B/K6ZXUt4vvptcf6VwIfNLHve+B92YHfeC1xF6Pe/kbym/ifAv5vZHxBaDv7A3a8ys9Wxqf6/3P3dHdi+SDL0lTYREZFEqPldREQkEWp+F5G2mNkFxD73gne5+//0Iz0ig0zN7yIiIolQ87uIiEgiFNRFREQSoaAuIiKSCAV1ERGRRCioi4iIJOL/A8ZImBEpYipNAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for col in cols:\n",
    "    makeScatter(\"Census_Tract\", col, df_2017)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chisquared Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rr_df = df_2017.groupby(df_2017.Census_Tract).count()['CCN']\n",
    "rr_df\n",
    "\n",
    "sub_df = pd.DataFrame(rr_df)\n",
    "sub_df.sort_values('CCN', ascending=False, inplace=True)\n",
    "sub_df = sub_df.head(10)\n",
    "sub_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "(sub_df['CCN'].sum())/10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub_df[\"Expected\"]=643.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "chisquare(sub_df['CCN'],sub_df['Expected'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_list =[1000, 850, 650, 630, 630, 600, 550, 500, 450, 450]\n",
    "sub_df['Expected']= new_list\n",
    "sub_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "chisquare(sub_df['CCN'],sub_df['Expected'])"
   ]
  }
 ],
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