911 Capstone Project.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8eb66e88",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "221b7053",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8a13a369",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('911.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3a3a555a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 289240 entries, 0 to 289239\n",
      "Data columns (total 9 columns):\n",
      " #   Column     Non-Null Count   Dtype  \n",
      "---  ------     --------------   -----  \n",
      " 0   lat        289240 non-null  float64\n",
      " 1   lng        289240 non-null  float64\n",
      " 2   desc       289240 non-null  object \n",
      " 3   zip        253942 non-null  float64\n",
      " 4   title      289240 non-null  object \n",
      " 5   timeStamp  289240 non-null  object \n",
      " 6   twp        289137 non-null  object \n",
      " 7   addr       289240 non-null  object \n",
      " 8   e          289240 non-null  int64  \n",
      "dtypes: float64(3), int64(1), object(5)\n",
      "memory usage: 19.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f54d1898",
   "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>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>desc</th>\n",
       "      <th>zip</th>\n",
       "      <th>title</th>\n",
       "      <th>timeStamp</th>\n",
       "      <th>twp</th>\n",
       "      <th>addr</th>\n",
       "      <th>e</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.297876</td>\n",
       "      <td>-75.581294</td>\n",
       "      <td>REINDEER CT &amp; DEAD END;  NEW HANOVER; Station ...</td>\n",
       "      <td>19525.0</td>\n",
       "      <td>EMS: BACK PAINS/INJURY</td>\n",
       "      <td>2015-12-10 17:10:52</td>\n",
       "      <td>NEW HANOVER</td>\n",
       "      <td>REINDEER CT &amp; DEAD END</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.258061</td>\n",
       "      <td>-75.264680</td>\n",
       "      <td>BRIAR PATH &amp; WHITEMARSH LN;  HATFIELD TOWNSHIP...</td>\n",
       "      <td>19446.0</td>\n",
       "      <td>EMS: DIABETIC EMERGENCY</td>\n",
       "      <td>2015-12-10 17:29:21</td>\n",
       "      <td>HATFIELD TOWNSHIP</td>\n",
       "      <td>BRIAR PATH &amp; WHITEMARSH LN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.121182</td>\n",
       "      <td>-75.351975</td>\n",
       "      <td>HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...</td>\n",
       "      <td>19401.0</td>\n",
       "      <td>Fire: GAS-ODOR/LEAK</td>\n",
       "      <td>2015-12-10 14:39:21</td>\n",
       "      <td>NORRISTOWN</td>\n",
       "      <td>HAWS AVE</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.116153</td>\n",
       "      <td>-75.343513</td>\n",
       "      <td>AIRY ST &amp; SWEDE ST;  NORRISTOWN; Station 308A;...</td>\n",
       "      <td>19401.0</td>\n",
       "      <td>EMS: CARDIAC EMERGENCY</td>\n",
       "      <td>2015-12-10 16:47:36</td>\n",
       "      <td>NORRISTOWN</td>\n",
       "      <td>AIRY ST &amp; SWEDE ST</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40.251492</td>\n",
       "      <td>-75.603350</td>\n",
       "      <td>CHERRYWOOD CT &amp; DEAD END;  LOWER POTTSGROVE; S...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EMS: DIZZINESS</td>\n",
       "      <td>2015-12-10 16:56:52</td>\n",
       "      <td>LOWER POTTSGROVE</td>\n",
       "      <td>CHERRYWOOD CT &amp; DEAD END</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         lat        lng                                               desc  \\\n",
       "0  40.297876 -75.581294  REINDEER CT & DEAD END;  NEW HANOVER; Station ...   \n",
       "1  40.258061 -75.264680  BRIAR PATH & WHITEMARSH LN;  HATFIELD TOWNSHIP...   \n",
       "2  40.121182 -75.351975  HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...   \n",
       "3  40.116153 -75.343513  AIRY ST & SWEDE ST;  NORRISTOWN; Station 308A;...   \n",
       "4  40.251492 -75.603350  CHERRYWOOD CT & DEAD END;  LOWER POTTSGROVE; S...   \n",
       "\n",
       "       zip                    title            timeStamp                twp  \\\n",
       "0  19525.0   EMS: BACK PAINS/INJURY  2015-12-10 17:10:52        NEW HANOVER   \n",
       "1  19446.0  EMS: DIABETIC EMERGENCY  2015-12-10 17:29:21  HATFIELD TOWNSHIP   \n",
       "2  19401.0      Fire: GAS-ODOR/LEAK  2015-12-10 14:39:21         NORRISTOWN   \n",
       "3  19401.0   EMS: CARDIAC EMERGENCY  2015-12-10 16:47:36         NORRISTOWN   \n",
       "4      NaN           EMS: DIZZINESS  2015-12-10 16:56:52   LOWER POTTSGROVE   \n",
       "\n",
       "                         addr  e  \n",
       "0      REINDEER CT & DEAD END  1  \n",
       "1  BRIAR PATH & WHITEMARSH LN  1  \n",
       "2                    HAWS AVE  1  \n",
       "3          AIRY ST & SWEDE ST  1  \n",
       "4    CHERRYWOOD CT & DEAD END  1  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fb918bbd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19401.0    19821\n",
       "19464.0    19276\n",
       "19403.0    14524\n",
       "19446.0    13939\n",
       "19406.0     9601\n",
       "Name: zip, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Top 5 zipcodes for 911 calls \n",
    "df['zip'].value_counts().head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b5322dbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LOWER MERION    24826\n",
       "ABINGTON        17820\n",
       "NORRISTOWN      16546\n",
       "UPPER MERION    15288\n",
       "CHELTENHAM      13359\n",
       "Name: twp, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Top 5 zipcodes for 911 calls \n",
    "df['twp'].value_counts().head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "88d09686",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "131"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Unique Title Codes\n",
    "df['title'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f6ad2761",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Creating New Features\n",
    "x = df['title'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "865e3986",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'EMS'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.split(':')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e3216b1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Reason'] = df['title'].apply(lambda title: title.split(\n",
    "':')[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "254af07b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0             EMS\n",
       "1             EMS\n",
       "2            Fire\n",
       "3             EMS\n",
       "4             EMS\n",
       "           ...   \n",
       "289235        EMS\n",
       "289236       Fire\n",
       "289237    Traffic\n",
       "289238    Traffic\n",
       "289239    Traffic\n",
       "Name: Reason, Length: 289240, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reason']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "84bfc3bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EMS        144362\n",
       "Traffic    101889\n",
       "Fire        42989\n",
       "Name: Reason, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Common Reason for 911 Call\n",
    "df['Reason'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0a6d42f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Reason', ylabel='count'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZgAAAEGCAYAAABYV4NmAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAZUElEQVR4nO3df7RdZX3n8ffHRBFrQX4ExARNKlELjL9II6MzjqtxIJ1pDXVgvE6VzBhXLIva2qmLgl0zuHSlhepIixbWYgQJ1AEi1ZLpKkIatP5C4CJi+CFDVmMhEiEapFQFm/idP85z5eRycrmE7HPg5v1aa6+zz3fvZ99nr7Pgk2c/++yTqkKSpD3tWaPugCRpZjJgJEmdMGAkSZ0wYCRJnTBgJEmdmD3qDjxdHHzwwTV//vxRd0OSnlFuvvnm71fVnEHbDJhm/vz5jI+Pj7obkvSMkuQfd7XNS2SSpE4YMJKkThgwkqROGDCSpE4YMJKkThgwkqROGDCSpE4YMJKkThgwkqRO+E3+3bRs/vtG3YUZ76rv/NmouyDpKXAEI0nqhAEjSepEZwGT5KIkDyS5bcC29yepJAf31c5IsjHJXUmO76sfk2RD23ZukrT6PkmuaPUbkszva7M8yd1tWd7VOUqSdq3LEczFwNLJxSSHA/8euKevdiQwBhzV2pyXZFbbfD6wEljYloljrgAerKojgHOAs9uxDgTOBF4HLAbOTHLAHj43SdIT6CxgqupLwLYBm84BTgOqr7YMuLyqHq2qTcBGYHGSw4D9qur6qirgEuCEvjar2/qVwJI2ujkeWFdV26rqQWAdA4JOktStoc7BJHkL8N2qunXSprnAvX3vN7fa3LY+ub5Tm6raDjwEHDTFsQb1Z2WS8STjW7du3a1zkiQNNrSASfI84I+A/zlo84BaTVHf3TY7F6suqKpFVbVozpyBP8gmSdpNwxzBvBRYANya5DvAPOAbSV5Ib5RxeN++84D7Wn3egDr9bZLMBvand0luV8eSJA3R0AKmqjZU1SFVNb+q5tMLgtdW1feAtcBYuzNsAb3J/BuragvwcJJj2/zKycBV7ZBrgYk7xE4ErmvzNNcAxyU5oE3uH9dqkqQh6uyb/EkuA94EHJxkM3BmVV04aN+quj3JGuAOYDtwalXtaJtPoXdH2r7A1W0BuBC4NMlGeiOXsXasbUk+DNzU9vtQVQ262UCS1KHOAqaq3v4E2+dPer8KWDVgv3Hg6AH1R4CTdnHsi4CLnkR3JUl7mN/klyR1woCRJHXCgJEkdcKAkSR1woCRJHXCgJEkdcKAkSR1woCRJHXCgJEkdcKAkSR1woCRJHXCgJEkdcKAkSR1woCRJHXCgJEkdcKAkSR1woCRJHXCgJEkdcKAkSR1woCRJHWis4BJclGSB5Lc1lf7SJJvJ/lWks8leUHftjOSbExyV5Lj++rHJNnQtp2bJK2+T5IrWv2GJPP72ixPcndblnd1jpKkXetyBHMxsHRSbR1wdFW9Evh/wBkASY4ExoCjWpvzksxqbc4HVgIL2zJxzBXAg1V1BHAOcHY71oHAmcDrgMXAmUkO6OD8JElT6CxgqupLwLZJtWurant7+3VgXltfBlxeVY9W1SZgI7A4yWHAflV1fVUVcAlwQl+b1W39SmBJG90cD6yrqm1V9SC9UJscdJKkjo1yDuZdwNVtfS5wb9+2za02t61Pru/UpoXWQ8BBUxzrcZKsTDKeZHzr1q1P6WQkSTsbScAk+SNgO/DpidKA3WqK+u622blYdUFVLaqqRXPmzJm605KkJ2XoAdMm3X8d+K122Qt6o4zD+3abB9zX6vMG1Hdqk2Q2sD+9S3K7OpYkaYiGGjBJlgJ/CLylqn7ct2ktMNbuDFtAbzL/xqraAjyc5Ng2v3IycFVfm4k7xE4ErmuBdQ1wXJID2uT+ca0mSRqi2V0dOMllwJuAg5Nspndn1xnAPsC6drfx16vqt6vq9iRrgDvoXTo7tap2tEOdQu+OtH3pzdlMzNtcCFyaZCO9kcsYQFVtS/Jh4Ka234eqaqebDSRJ3essYKrq7QPKF06x/ypg1YD6OHD0gPojwEm7ONZFwEXT7qwkaY/zm/ySpE4YMJKkThgwkqROGDCSpE4YMJKkThgwkqROGDCSpE4YMJKkThgwkqROGDCSpE4YMJKkThgwkqROGDCSpE4YMJKkThgwkqROGDCSpE4YMJKkThgwkqROGDCSpE50FjBJLkryQJLb+moHJlmX5O72ekDftjOSbExyV5Lj++rHJNnQtp2bJK2+T5IrWv2GJPP72ixvf+PuJMu7OkdJ0q7N7vDYFwOfAC7pq50OrK+qs5Kc3t7/YZIjgTHgKOBFwN8leVlV7QDOB1YCXwf+FlgKXA2sAB6sqiOSjAFnA29LciBwJrAIKODmJGur6sEOz1XSkNz/8dNG3YUZ79D3/ukeOU5nI5iq+hKwbVJ5GbC6ra8GTuirX15Vj1bVJmAjsDjJYcB+VXV9VRW9sDphwLGuBJa00c3xwLqq2tZCZR29UJIkDdGw52AOraotAO31kFafC9zbt9/mVpvb1ifXd2pTVduBh4CDpjjW4yRZmWQ8yfjWrVufwmlJkiZ7ukzyZ0Ctpqjvbpudi1UXVNWiqlo0Z86caXVUkjQ9ww6Y+9tlL9rrA62+GTi8b795wH2tPm9Afac2SWYD+9O7JLerY0mShmjYAbMWmLirazlwVV99rN0ZtgBYCNzYLqM9nOTYNr9y8qQ2E8c6EbiuzdNcAxyX5IB2l9pxrSZJGqLO7iJLchnwJuDgJJvp3dl1FrAmyQrgHuAkgKq6Pcka4A5gO3Bqu4MM4BR6d6TtS+/usatb/ULg0iQb6Y1cxtqxtiX5MHBT2+9DVTX5ZgNJUsc6C5iqevsuNi3Zxf6rgFUD6uPA0QPqj9ACasC2i4CLpt1ZSdIe93SZ5JckzTAGjCSpEwaMJKkTBowkqRMGjCSpEwaMJKkTBowkqRMGjCSpEwaMJKkTBowkqRMGjCSpEwaMJKkTBowkqRMGjCSpEwaMJKkTBowkqRMGjCSpEwaMJKkT0wqYJOunU5MkacLsqTYmeS7wPODgJAcAaZv2A17Ucd8kSc9gTzSCeQ9wM/CK9jqxXAX8xe7+0SS/n+T2JLcluSzJc5McmGRdkrvb6wF9+5+RZGOSu5Ic31c/JsmGtu3cJGn1fZJc0eo3JJm/u32VJO2eKQOmqv68qhYA76+qX6qqBW15VVV9Ynf+YJK5wO8Ci6rqaGAWMAacDqyvqoXA+vaeJEe27UcBS4HzksxqhzsfWAksbMvSVl8BPFhVRwDnAGfvTl8lSbtvWnMwVfXxJK9P8l+SnDyxPIW/OxvYN8lsepfg7gOWAavb9tXACW19GXB5VT1aVZuAjcDiJIcB+1XV9VVVwCWT2kwc60pgycToRpI0HFPOwUxIcinwUuCbwI5Wnvif+pNSVd9N8lHgHuAnwLVVdW2SQ6tqS9tnS5JDWpO5wNf7DrG51f6lrU+uT7S5tx1re5KHgIOA7086r5X0RkC8+MUvfrKnIkmawrQCBlgEHNlGCk9Jm1tZBiwAfgh8Jsk7pmoyoFZT1Kdqs3Oh6gLgAoBFixY95XOTJD1mut+DuQ144R76m28GNlXV1qr6F+CzwOuB+9tlL9rrA23/zcDhfe3n0buktrmtT67v1KZdhtsf2LaH+i9JmobpBszBwB1JrkmydmLZzb95D3Bskue1eZElwJ3AWmB522c5vTvVaPWxdmfYAnqT+Te2y2kPJzm2HefkSW0mjnUicN2eGH1JkqZvupfIPrin/mBV3ZDkSuAbwHbgFnqXqZ4PrEmygl4IndT2vz3JGuCOtv+pVTUxD3QKcDGwL3B1WwAuBC5NspHeyGVsT/VfkjQ90wqYqvr7PflHq+pM4MxJ5UfpjWYG7b8KWDWgPg4cPaD+CC2gJEmjMd27yB7msUny5wDPBn5UVft11TFJ0jPbdEcwv9j/PskJwOIuOiRJmhl262nKVfXXwK/u2a5IkmaS6V4ie2vf22fR+16Md2VJknZpuneR/Ubf+nbgO/S+LClJ0kDTnYP5b113RJI0s0z3B8fmJflckgeS3J/kr5LMe+KWkqS91XQn+T9F79vxL6L3IMn/22qSJA003YCZU1WfqqrtbbkYmNNhvyRJz3DTDZjvJ3lHkllteQfwgy47Jkl6ZptuwLwL+M/A94At9B4g6cS/JGmXpnub8oeB5VX1IECSA4GP0gseSZIeZ7ojmFdOhAtAVW0DXtNNlyRJM8F0A+ZZ7ZcogZ+PYKY7+pEk7YWmGxL/C/ha+x2Xojcf87jH50uSNGG63+S/JMk4vQdcBnhrVd3Rac8kSc9o077M1QLFUJEkTctuPa5fkqQnYsBIkjphwEiSOjGSgEnygiRXJvl2kjuT/OskByZZl+Tu9tp/W/QZSTYmuSvJ8X31Y5JsaNvOTZJW3yfJFa1+Q5L5IzhNSdqrjWoE8+fA56vqFcCrgDuB04H1VbUQWN/ek+RIYAw4ClgKnJdkVjvO+cBKYGFblrb6CuDBqjoCOAc4exgnJUl6zNADJsl+wBuBCwGq6qdV9UN6v5C5uu22GjihrS8DLq+qR6tqE7ARWJzkMGC/qrq+qgq4ZFKbiWNdCSyZGN1IkoZjFCOYXwK2Ap9KckuSTyb5BeDQqtoC0F4PafvPBe7ta7+51ea29cn1ndpU1XbgIeCgyR1JsjLJeJLxrVu37qnzkyQxmoCZDbwWOL+qXgP8iHY5bBcGjTxqivpUbXYuVF1QVYuqatGcOf68jSTtSaMImM3A5qq6ob2/kl7g3N8ue9FeH+jb//C+9vOA+1p93oD6Tm2SzAb2B7bt8TORJO3S0AOmqr4H3Jvk5a20hN4TAtYCy1ttOXBVW18LjLU7wxbQm8y/sV1GezjJsW1+5eRJbSaOdSJwXZunkSQNyaieiPxe4NNJngP8A70fL3sWsCbJCuAe4CSAqro9yRp6IbQdOLWqdrTjnAJcDOwLXN0W6N1AcGmSjfRGLmPDOClJ0mNGEjBV9U1g0YBNS3ax/yoGPL25qsaBowfUH6EFlCRpNPwmvySpEwaMJKkTBowkqRMGjCSpEwaMJKkTBowkqRMGjCSpEwaMJKkTBowkqRMGjCSpEwaMJKkTBowkqRMGjCSpEwaMJKkTBowkqRMGjCSpEwaMJKkTBowkqRMj+clkaZQuX/qBUXdhxhv7/B+Pugt6GhjZCCbJrCS3JPmb9v7AJOuS3N1eD+jb94wkG5PcleT4vvoxSTa0becmSavvk+SKVr8hyfyhn6Ak7eVGeYns94A7+96fDqyvqoXA+vaeJEcCY8BRwFLgvCSzWpvzgZXAwrYsbfUVwINVdQRwDnB2t6ciSZpsJAGTZB7wH4FP9pWXAavb+mrghL765VX1aFVtAjYCi5McBuxXVddXVQGXTGozcawrgSUToxtJ0nCMagTzZ8BpwM/6aodW1RaA9npIq88F7u3bb3OrzW3rk+s7tamq7cBDwEGTO5FkZZLxJONbt259iqckSeo39IBJ8uvAA1V183SbDKjVFPWp2uxcqLqgqhZV1aI5c+ZMszuSpOkYxV1kbwDekuQ/AM8F9kvyl8D9SQ6rqi3t8tcDbf/NwOF97ecB97X6vAH1/jabk8wG9ge2dXVCkqTHG/oIpqrOqKp5VTWf3uT9dVX1DmAtsLztthy4qq2vBcbanWEL6E3m39guoz2c5Ng2v3LypDYTxzqx/Y3HjWAkSd15On0P5ixgTZIVwD3ASQBVdXuSNcAdwHbg1Kra0dqcAlwM7Atc3RaAC4FLk2ykN3IZG9ZJSJJ6RhowVfVF4Itt/QfAkl3stwpYNaA+Dhw9oP4ILaAkSaPho2IkSZ0wYCRJnTBgJEmdMGAkSZ0wYCRJnTBgJEmdMGAkSZ0wYCRJnTBgJEmdMGAkSZ0wYCRJnTBgJEmdMGAkSZ0wYCRJnTBgJEmdMGAkSZ0wYCRJnTBgJEmdMGAkSZ0wYCRJnRh6wCQ5PMkXktyZ5PYkv9fqByZZl+Tu9npAX5szkmxMcleS4/vqxyTZ0LadmyStvk+SK1r9hiTzh32ekrS3G8UIZjvwB1X1y8CxwKlJjgROB9ZX1UJgfXtP2zYGHAUsBc5LMqsd63xgJbCwLUtbfQXwYFUdAZwDnD2ME5MkPWboAVNVW6rqG239YeBOYC6wDFjddlsNnNDWlwGXV9WjVbUJ2AgsTnIYsF9VXV9VBVwyqc3Esa4ElkyMbiRJwzHSOZh26eo1wA3AoVW1BXohBBzSdpsL3NvXbHOrzW3rk+s7tamq7cBDwEED/v7KJONJxrdu3bqHzkqSBCMMmCTPB/4KeF9V/dNUuw6o1RT1qdrsXKi6oKoWVdWiOXPmPFGXJUlPwkgCJsmz6YXLp6vqs618f7vsRXt9oNU3A4f3NZ8H3Nfq8wbUd2qTZDawP7Btz5+JJGlXRnEXWYALgTur6mN9m9YCy9v6cuCqvvpYuzNsAb3J/BvbZbSHkxzbjnnypDYTxzoRuK7N00iShmT2CP7mG4B3AhuSfLPVPgCcBaxJsgK4BzgJoKpuT7IGuIPeHWinVtWO1u4U4GJgX+DqtkAvwC5NspHeyGWs43OSJE0y9ICpqq8weI4EYMku2qwCVg2ojwNHD6g/QgsoSdJo+E1+SVInDBhJUicMGElSJwwYSVInDBhJUicMGElSJwwYSVInDBhJUicMGElSJwwYSVInDBhJUicMGElSJwwYSVInDBhJUicMGElSJwwYSVInDBhJUicMGElSJwwYSVInDBhJUidmdMAkWZrkriQbk5w+6v5I0t5kxgZMklnAXwC/BhwJvD3JkaPtlSTtPWZswACLgY1V9Q9V9VPgcmDZiPskSXuNVNWo+9CJJCcCS6vq3e39O4HXVdXv9O2zEljZ3r4cuGvoHR2eg4Hvj7oT2m1+fs9cM/2ze0lVzRm0YfawezJEGVDbKU2r6gLgguF0Z7SSjFfVolH3Q7vHz++Za2/+7GbyJbLNwOF97+cB942oL5K015nJAXMTsDDJgiTPAcaAtSPukyTtNWbsJbKq2p7kd4BrgFnARVV1+4i7NUp7xaXAGczP75lrr/3sZuwkvyRptGbyJTJJ0ggZMJKkThgwM0CSHUm+2bec3upfTHJPkvTt+9dJ/rmtPyvJuUluS7IhyU1JFozqPPZmAz7D+Um+Nup+qSfJQX2fzfeSfLfv/XOm0f6yJN9K8vtJXtHa3ZLkpTP5c56xk/x7mZ9U1at3se2HwBuAryR5AXBY37a3AS8CXllVP0syD/hRh/3Urg36DF8/eacks6pqx3C6pAlV9QPg1QBJPgj8c1V9dGJ7ktlVtX1Q2yQvBF5fVS9p708HrqqqM9suj/ucZwpHMDPf5fRu0QZ4K/DZvm2HAVuq6mcAVbW5qh4ccv+0C30jzTcl+UKS/wNsSDIryUfaiPNbSd4z4q7ulZJcnORjSb4AnJ1kcZKvtZHJ15K8vO16LXBIG7WcCbwPeHdr9/PPua2f1q4m3JrkrGGf057mCGZm2DfJN/ve/0lVXdHW1wP/uz38c4zeo3H+R9u2ht7I5t+2/f6yqm4ZUp+1s/7PcFNV/eak7YuBo6tqU3vE0UNV9StJ9gG+muTaqto0zA4LgJcBb66qHUn2A97YviLxZuCPgf8EvAX4m4kRartkvdMIqNV/DTiB3iOtfpzkwCGeRycMmJlhqktkO4Cv0Lsctm9VfWdiSqaqNrd/Zf1qW9YnOamq1g+hz9rZVJ8hwI19AXIc8Mr2vD2A/YGFgAEzfJ/pu2S5P7A6yUJ6j6V69pM81puBT1XVjwGqatue6+ZoGDB7h8uBzwEfnLyhqh4FrgauTnI/vX9BGTBPP/1zYwHeW1XXjKoz+rn+z+XDwBeq6jeTzAe++CSPFSY9L/GZzjmYvcOXgT8BLusvJnltkhe19WcBrwT+cfjd05N0DXBKkmcDJHlZkl8YcZ/UG8F8t63/191ofy3wriTPA/ASmZ4uJs/BfL6qfv4LntV7XMNHH9cKDqE3P7NPe38j8InOeqk95ZPAfOAb7Xr+VnojT43Wn9K7RPbfgeuebOOq+nySVwPjSX4K/C3wgT3bxeHyUTGSpE54iUyS1AkDRpLUCQNGktQJA0aS1AkDRpLUCW9TljqWZAewgd5/b5uAd1bVD0faKWkIHMFI3ftJVb26qo4GtgGnjrpD0jAYMNJwXQ/MBWi/BfL5JDcn+XKSV7T6byS5oT2V9++SHNrq/67vN0huSfKL6flI32/6vK3t+6b0fg/oyiTfTvLp5LHfBZKGwUtk0pC0J1ovAS5spQuA366qu5O8DjiP3kNHvwIcW1WV5N3AacAfAO8HTq2qryZ5PvAIvZ9geDXwKuBg4KYkX2rHfw1wFHAf8FXa7wJ1fqJSY8BI3Zt4lM984GZgXQuI1wOf6RtYTDyyZx5wRZLDgOfw2FOSvwp8LMmngc+2p2H/G+Cy9kTf+5P8PfArwD/RewLzZoC+v2/AaGi8RCZ1b+JR/C+hFxin0vtv74dtbmZi+eW2/8eBT1TVvwLeAzwXoKrOAt4N7At8vV1Sm+qy16N96zvwH5QaMgNGGpKqegj4XXqXun4CbEpyEvR+hCrJq9qu/U/lXT7RPslLq2pDVZ0NjAOvAL4EvK39yuUc4I30HloqjZwBIw1R+8XQW+n9uuhvASuS3ArcDixru32Q3qWzLwPf72v+vjaZfyu9gLqa3u/8fKsd8zrgtKr63jDORXoiPk1ZktQJRzCSpE4YMJKkThgwkqROGDCSpE4YMJKkThgwkqROGDCSpE78fwD1rhVnu/2cAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Countplot\n",
    "sns.countplot(x='Reason',data=df,palette='magma')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c53c0548",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Converting Time Columns to TimeStamp\n",
    "type(df['timeStamp'].iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "744751f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['timeStamp'] = pd.to_datetime(df['timeStamp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "47f98941",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas._libs.tslibs.timestamps.Timestamp"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df['timeStamp'].iloc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cb462a0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time = df['timeStamp']\n",
    "time[0].hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a947a517",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time[4].dayofweek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "77ba432f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Hour'] = df['timeStamp'].apply(lambda time: time.hour)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "fb74804e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Month'] = df['timeStamp'].apply(lambda time: time.month)\n",
    "df['Day of Week'] = df['timeStamp'].apply(lambda time: time.dayofweek)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "69eb5acd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Mapping the Day of the Weeks\n",
    "dmap = {0:'Mon',1:'Tue',2:'Wed',3:'Thu',4:'Fri',5:'Sat',6:'Sun'}\n",
    "df['Day of Week'] = df['Day of Week'].map(dmap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1a9f2cc8",
   "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>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>desc</th>\n",
       "      <th>zip</th>\n",
       "      <th>title</th>\n",
       "      <th>timeStamp</th>\n",
       "      <th>twp</th>\n",
       "      <th>addr</th>\n",
       "      <th>e</th>\n",
       "      <th>Reason</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day of Week</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.297876</td>\n",
       "      <td>-75.581294</td>\n",
       "      <td>REINDEER CT &amp; DEAD END;  NEW HANOVER; Station ...</td>\n",
       "      <td>19525.0</td>\n",
       "      <td>EMS: BACK PAINS/INJURY</td>\n",
       "      <td>2015-12-10 17:10:52</td>\n",
       "      <td>NEW HANOVER</td>\n",
       "      <td>REINDEER CT &amp; DEAD END</td>\n",
       "      <td>1</td>\n",
       "      <td>EMS</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>Thu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.258061</td>\n",
       "      <td>-75.264680</td>\n",
       "      <td>BRIAR PATH &amp; WHITEMARSH LN;  HATFIELD TOWNSHIP...</td>\n",
       "      <td>19446.0</td>\n",
       "      <td>EMS: DIABETIC EMERGENCY</td>\n",
       "      <td>2015-12-10 17:29:21</td>\n",
       "      <td>HATFIELD TOWNSHIP</td>\n",
       "      <td>BRIAR PATH &amp; WHITEMARSH LN</td>\n",
       "      <td>1</td>\n",
       "      <td>EMS</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>Thu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.121182</td>\n",
       "      <td>-75.351975</td>\n",
       "      <td>HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...</td>\n",
       "      <td>19401.0</td>\n",
       "      <td>Fire: GAS-ODOR/LEAK</td>\n",
       "      <td>2015-12-10 14:39:21</td>\n",
       "      <td>NORRISTOWN</td>\n",
       "      <td>HAWS AVE</td>\n",
       "      <td>1</td>\n",
       "      <td>Fire</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>Thu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.116153</td>\n",
       "      <td>-75.343513</td>\n",
       "      <td>AIRY ST &amp; SWEDE ST;  NORRISTOWN; Station 308A;...</td>\n",
       "      <td>19401.0</td>\n",
       "      <td>EMS: CARDIAC EMERGENCY</td>\n",
       "      <td>2015-12-10 16:47:36</td>\n",
       "      <td>NORRISTOWN</td>\n",
       "      <td>AIRY ST &amp; SWEDE ST</td>\n",
       "      <td>1</td>\n",
       "      <td>EMS</td>\n",
       "      <td>16</td>\n",
       "      <td>12</td>\n",
       "      <td>Thu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40.251492</td>\n",
       "      <td>-75.603350</td>\n",
       "      <td>CHERRYWOOD CT &amp; DEAD END;  LOWER POTTSGROVE; S...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EMS: DIZZINESS</td>\n",
       "      <td>2015-12-10 16:56:52</td>\n",
       "      <td>LOWER POTTSGROVE</td>\n",
       "      <td>CHERRYWOOD CT &amp; DEAD END</td>\n",
       "      <td>1</td>\n",
       "      <td>EMS</td>\n",
       "      <td>16</td>\n",
       "      <td>12</td>\n",
       "      <td>Thu</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         lat        lng                                               desc  \\\n",
       "0  40.297876 -75.581294  REINDEER CT & DEAD END;  NEW HANOVER; Station ...   \n",
       "1  40.258061 -75.264680  BRIAR PATH & WHITEMARSH LN;  HATFIELD TOWNSHIP...   \n",
       "2  40.121182 -75.351975  HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...   \n",
       "3  40.116153 -75.343513  AIRY ST & SWEDE ST;  NORRISTOWN; Station 308A;...   \n",
       "4  40.251492 -75.603350  CHERRYWOOD CT & DEAD END;  LOWER POTTSGROVE; S...   \n",
       "\n",
       "       zip                    title           timeStamp                twp  \\\n",
       "0  19525.0   EMS: BACK PAINS/INJURY 2015-12-10 17:10:52        NEW HANOVER   \n",
       "1  19446.0  EMS: DIABETIC EMERGENCY 2015-12-10 17:29:21  HATFIELD TOWNSHIP   \n",
       "2  19401.0      Fire: GAS-ODOR/LEAK 2015-12-10 14:39:21         NORRISTOWN   \n",
       "3  19401.0   EMS: CARDIAC EMERGENCY 2015-12-10 16:47:36         NORRISTOWN   \n",
       "4      NaN           EMS: DIZZINESS 2015-12-10 16:56:52   LOWER POTTSGROVE   \n",
       "\n",
       "                         addr  e Reason  Hour  Month Day of Week  \n",
       "0      REINDEER CT & DEAD END  1    EMS    17     12         Thu  \n",
       "1  BRIAR PATH & WHITEMARSH LN  1    EMS    17     12         Thu  \n",
       "2                    HAWS AVE  1   Fire    14     12         Thu  \n",
       "3          AIRY ST & SWEDE ST  1    EMS    16     12         Thu  \n",
       "4    CHERRYWOOD CT & DEAD END  1    EMS    16     12         Thu  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "91a33e84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1fe8d4fa070>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Countplot of the Days of Week with Reason\n",
    "sns.countplot(x='Day of Week', data = df,hue = 'Reason')\n",
    "plt.legend(bbox_to_anchor=(1.05,1),loc=2,borderaxespad=0.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "370af1a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1fe86055490>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Countplot of the Months with Reason\n",
    "sns.countplot(x='Month', data = df,hue = 'Reason')\n",
    "plt.legend(bbox_to_anchor=(1.05,1),loc=2,borderaxespad=0.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "9f620bae",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create Date Column\n",
    "t = df['timeStamp'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "4705be2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Date'] = df['timeStamp'].apply(lambda t:t.date())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "433fb61b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Number of Calls by the Date for the Latitude\n",
    "df.groupby('Date').count()['lat'].plot()\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "4ffe2734",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plots of Calls by Reasons\n",
    "df[df['Reason']=='Traffic'].groupby('Date').count()['lat'].plot()\n",
    "plt.title('Traffic')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "4e76c04c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Grouping by Days of Week and Hour using Unstack\n",
    "dayHour = df.groupby(by=['Day of Week', 'Hour']).count()['Reason'].unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "432aaf4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Hour', ylabel='Day of Week'>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Heatmap of the Above\n",
    "plt.figure(figsize=(12,7))\n",
    "sns.heatmap(dayHour,cmap='viridis')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "af276f1b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0x1fe9398e9d0>"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsgAAALICAYAAABiqwZ2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAA0iElEQVR4nO3de7hkV10n/O+vL0k3CQGCSQxJNKAQhYzcDjGCgwxRCchwEaMwIijM9MiDCF4JoiTok/fNMIrzoiPaiAOogBkBYVCUi6IiucwJBkgIl0gihMSEe+6X7qz3j9oti7Yv5/SpfU6d6s/neeo5Vatq/9bq07vqfGvV2ruqtRYAAGBiw1oPAAAAZomADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAzqblPPjPN580U1+79wN3fqLWegwAAMyXZQXkjVtNOAMAMN+WGZA3jjUOAACYCXM9g1xVW5L8XZJDM/m3/mlr7ayqOjLJnyQ5MclVSX64tfblYZuXJHlukp1Jfrq19ldD+8OTvC7J1iR/keSFrbWZWnLCwWdhYeHMJFvWehzAQeu2xcXFc9d6EDBtcx2Qk9ye5LGttZuqanOSD1TVu5L8YJL3tdbOraozk5yZ5MVV9cAkT0/yoCT3SfLeqnpAa21nklcn2ZbkgkwC8ulJ3rX6/yT4OlsWFxfPXutBAAenhYWFs9d6DDCG5QXkQ9ZXQB5meG8abm4eLi3Jk5M8Zmh/fZL3J3nx0P7m1trtSa6sqiuSnFJVVyU5orV2fpJU1RuSPCUCMgDA3FlWQN6webbWIFfVtkxmdXfZ3lrbvttjNia5OMm3JvmfrbULq+qY1tq1SdJau7aqjh4eflwmM8S7XD203Tlc370dAIA5s7wZ5M2zNYM8hOHt+3nMziQPqap7JnlbVZ28j4fv6bRxbR/tAADMmbleYtFrrX2lqt6fydrh66rq2GH2+Ngk1w8PuzrJCd1mxye5Zmg/fg/tAADMmWUl3g2bNs7UZX+q6qhh5jhVtTXJ9yb5eJJ3JHn28LBnJ3n7cP0dSZ5eVYdW1X2T3D/JRcNyjBur6tSqqiTP6rYBAGCOrOslFktwbJLXD+uQNyQ5r7X2zqo6P8l5VfXcJJ9JckaStNYuq6rzknwsyY4kzx+WaCTJ8/K107y9Kw7QAwCYS8s7SG8Js7azpLX2kSQP3UP7F5Octpdtzklyzh7aF5Psa/0yAABzYN5nkAEAYFnmegYZAACWa5kB2QwyAADzbZlLLMwgAwAw3yyxAACAjiUWAADQMYMMAACdZQXk2iggAwAw38wgAwBAR0AGAICOg/QAAKBjDTIAAHQssQAAgM7yZpAFZAAA5pwlFgAA0FnWUXcbNm2cqcv+VNUJVfU3VXV5VV1WVS8c2s+uqs9V1SXD5QndNi+pqiuq6hNV9biu/eFV9dHhvldVVS3ndwcAwPow7zPIO5L8XGvtQ1V19yQXV9V7hvt+s7X26/2Dq+qBSZ6e5EFJ7pPkvVX1gNbaziSvTrItyQVJ/iLJ6UnetUr/DgAAVslcB+TW2rVJrh2u31hVlyc5bh+bPDnJm1trtye5sqquSHJKVV2V5IjW2vlJUlVvSPKUCMgAAHNnXR+kV1XbMpnV3WV7a237Xh57YpKHJrkwyaOS/FRVPSvJYiazzF/OJDxf0G129dB253B993YAAObMsgJyZmwGeQjDewzEvao6PMlbkryotXZDVb06ya8lacPP30jynCR7Wlfc9tEOAMCcmeslFklSVZszCcd/3Fp7a5K01q7r7n9NkncON69OckK3+fFJrhnaj99DOwAAc2auA/JwponXJrm8tfbKrv3YYX1ykjw1yaXD9XckeWNVvTKTg/Tun+Si1trOqrqxqk7NZInGs5L81mr9OwAAWD3reonFEjwqyY8l+WhVXTK0/VKSZ1TVQzJZJnFVkv+aJK21y6rqvCQfy+QMGM8fzmCRJM9L8rokWzM5OM8BegAAc2iZM8jLy9NrrbX2gex5/fBf7GObc5Kcs4f2xSQnT290AADMorleYgEAAMs170ssAABgWQRkAADoCMgAANBZXkCuDSMNAwAAZoMZZAAA6CwvIG8QkAEAmG9mkAEAoGMGGQAAOssKyM0MMgAAc26ZM8jr66umAQBguZY3g2yJBQAAc85BegAA0DGDDAAAHQEZAAA6AjIAAHQ2LOfBbcPGmbrsT1WdUFV/U1WXV9VlVfXCof3IqnpPVX1q+HmvbpuXVNUVVfWJqnpc1/7wqvrocN+rqqqW87sDAGB9WF5Aro0zdVmCHUl+rrX27UlOTfL8qnpgkjOTvK+1dv8k7xtuZ7jv6UkelOT0JL9T9a8dvTrJtiT3Hy6nL+d3BwDA+rDMJRbr6zzIrbVrk1w7XL+xqi5PclySJyd5zPCw1yd5f5IXD+1vbq3dnuTKqroiySlVdVWSI1pr5ydJVb0hyVOSvGu1/i0AAKyOZSXeu2ZsDXJVbctkVneX7a217Xt57IlJHprkwiTHDOE5rbVrq+ro4WHHJbmg2+zqoe3O4fru7QAAzJl1fZDeEIb3GIh7VXV4krckeVFr7YZ9LB/e0x1tH+0AAMyZ5c0gL23d70ypqs2ZhOM/bq29dWi+rqqOHWaPj01y/dB+dZITus2PT3LN0H78HtoBAJgzc32Q3nCmidcmuby19srurnckefZw/dlJ3t61P72qDq2q+2ZyMN5Fw3KMG6vq1KHms7ptAACYI+t6DfISPCrJjyX5aFVdMrT9UpJzk5xXVc9N8pkkZyRJa+2yqjovyccyOQPG81trO4ftnpfkdUm2ZnJwngP0AADm0FwvsWitfSB7Xj+cJKftZZtzkpyzh/bFJCdPb3QAAMyiZQbkZa3IAACAdWeuZ5ABAGC5BGQAAOgIyAAA0FleQF7eWeEAAGDdWWZANoMMwPqysLBwZpItaz2OOXXiwsLC2Ws9iDl12+Li4rlrPYiDlRlkAObdlsXFxbPXehCwHN54rK3lBeQmIAMAMN/MIAMAQMcMMgAAdJYVkHeaQQYAYM6ZQQYAgI6ADAAAneUtsWg11jgAAGAmmEEGAICOgAwAAJ1lJd6drWbqsj9V9QdVdX1VXdq1nV1Vn6uqS4bLE7r7XlJVV1TVJ6rqcV37w6vqo8N9r6oqa00AAObU8maQ71p3ufB1SX47yRt2a//N1tqv9w1V9cAkT0/yoCT3SfLeqnpAa21nklcn2ZbkgiR/keT0JO8ad+gAAKyFZR6kt76WWLTW/q6qTlziw5+c5M2ttduTXFlVVyQ5paquSnJEa+38JKmqNyR5SgRkAIC5tKzEe1ermbpU1baqWuwu25b4T/mpqvrIsATjXkPbcUk+2z3m6qHtuOH67u0AAMyhZR6kN9YwDkxrbXuS7cvc7NVJfi1JG37+RpLnJNnT+pG2j3YAAObQvK9B/jdaa9ftul5Vr0nyzuHm1UlO6B56fJJrhvbj99AOAMAcmuuzWOxJVR3b3Xxqkl1nuHhHkqdX1aFVdd8k909yUWvt2iQ3VtWpw9krnpXk7QfUOQAAM295B+mtsxnkqnpTksck+YaqujrJWUkeU1UPyWSZxFVJ/muStNYuq6rzknwsyY4kzx/OYJEkz8vkjBhbMzk4zwF6AABzaplrkNdXQG6tPWMPza/dx+PPSXLOHtoXk5w8xaEBADCjljmDPNYw4MAtLCycmWTLWo9jjZy4sLBw9loPYg3ctri4eO5aDwKA+TTXSyw4aGxZXFw8e60Hweo5SN8UALBKlnkWi7GGAQAAs8EMMgAAdKxBBgCAjiUWAADQMYMMADAFUz6r0rTPUuTsP8uwvIC8c/+PAQA4SM3sWZWc/Wd5zCADAEBnmWuQ21jjOEDOqgEc3A7yL8pZqoP1C3WWy0fwMLDEAmB9m9mPdFlfvImYXVN6I7zSN4oH1RsoSywAAGbbmr8RPtjeQC1zBtkSCwAA5ts6D8gAADBdvigEAKZknR80uZ4PZjyo1scyPjPIADA9a75W9GC0joM9M2rDch68c2ebqcv+VNUfVNX1VXVp13ZkVb2nqj41/LxXd99LquqKqvpEVT2ua394VX10uO9VVWXxMwDAnFpeQL6rzdRlCV6X5PTd2s5M8r7W2v2TvG+4nap6YJKnJ3nQsM3vVNXGYZtXJ9mW5P7DZfeaAADMieWtQV5nSyxaa39XVSfu1vzkJI8Zrr8+yfuTvHhof3Nr7fYkV1bVFUlOqaqrkhzRWjs/SarqDUmekuRdIw8fAIA1sMw1yLN1lF5VbctkZneX7a217fvZ7JjW2rVJ0lq7tqqOHtqPS3JB97irh7Y7h+u7twMHYEZOeJ84qAeAvVjXB+kNYXh/gXip9rSuuO2jHTgwM3EQk4N6ANibdT2DfICuq6pjh9njY5NcP7RfneSE7nHHJ7lmaD9+D+0AAMyhuV6DvBfvSPLsJOcOP9/etb+xql6Z5D6ZHIx3UWttZ1XdWFWnJrkwybOS/NbqDxsAYHqWueRtOUvb1v0StrmeQa6qN2VyQN43VNXVSc7KJBifV1XPTfKZJGckSWvtsqo6L8nHkuxI8vzW2s6h1PMyOSPG1kwOznOAHswgL/YAyzLKkrd5WMK2rtcg709r7Rl7ueu0vTz+nCTn7KF9McnJUxwaMA4v9gCs2DKXWKyvGWQAYH0a8ROhxKdC7MdcL7Fg7U3plF77M41Tfu2PF1OA1TXaGW98KsT+LG8GeYeAzLLNxCm9VsqLKQAcPMwgAwBAR0AGAICOg/RYl1ZpbXNvNdY596x5PgjMyNduz82+tgavC3uy2q8VezI3/6ewVpY3g7xj5/4fBKtjLtY2780M/IFldaz5fjxn+9qa/z5nwZz9n8KaMIMMKzDijNVYs1BmlgBgP5a5BtkMMuxmXc1YmVk6ODh/LMDKOM0bwPxx/liAFVhWQG5tfX3VNACsN1NYujWNJVo+KeCg5iA9AJgta750yycFHOyWeZCegAzA9DnlHTBLHKQH69yIB2QJC6ymUWZNl/n8+LZ5fn54rYClW+ZBegIy8+0AZrFm4Y/IWMFi6jVhDXh+fI3fBSyRJRbw9Rz9DwAHOQfpAQBAxwwyAAB0rEEGAIBO+fIPluuZL71mlJ3m5q/ePEbZ3PjFr45SN0nuvP2OUeoeeZ+jRql72023jlL3tCedPErdJDnlpHHG/LGrDxul7kNedsoodb/4oXH248O/desodZPkIc/9nlHqbj7q3qPUrQ0bRql7/d8vjlI3SbYedc9R6t4x0uvxkWc8bZS6G269aZS6SXL9tzxqlLpHfXac/eLLxz14lLrX1vGj1E2Shz/gyBqt+AEa59UAAADWKQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMAAAdARkAADoCMgAAdARkAADoCMgAANARkAEAoCMgAwBAR0AGAICOgAwAAB0BGQAAOgIyAAB0BGQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMAAAdARkAADoCMgAAdARkAADobFrrAQAAwJ5U1RGttRuq6sg93d9a+9IY/QrIM2JhYeHMJFvWehxL8W2Pe8daDwEAmBNVtS3Jtq5pe2tt+3D9jUmemOTiJC1JdY9rSe43xpgE5NmxZXFx8ey1HsRSPPOl15y11mMAAObDEIa37+W+J1ZVJfme1tpnVmtM1iADADCzWmstydtWs08BGQCAWXdBVT1itTqzxAIAgFn3H5L8ZFVdleTmTNYit9bad4zRmYAMAMBMqqpvGtYeP341+xWQAQCYVX+W5GGttX+uqre01p62Gp1agwwAwKzqT+s2yind9kRABgBgVrW9XB+VJRYAAMyqB1fVDZnMJG8dridfO0jviDE6FZABAJhJrbWNa9GvJRYAANARkAEAoCMgAwBAR0AGAICOgAwAAB0BGQAAOgIyAAB0BGQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMAAAdARkAADoCMgAAdARkAADoCMgAANARkAEAoCMgAwBAZ9NaD4D1Z9PmjaPU3Xr41lHqfvFz141SN0m2HnH4KHXvuO32Uereefsdo9TdsLFGqZskH/qnu41S91Of/Moodf/jqfcdpe7R337zKHXvvPXOUeomyaa7j/P82LB1nH3irptuHKXu0f9+YZS6SXLHv4zz+nbYNx03St1c+YlRyu64eZznR5JsPeHfjVL3lqO/ZZS6X9p49Ch1P3ndvUapmyQPf8BopQ+YGWQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMAAAdARkAADoCMgAAdARkAADoCMgAANARkAEAoCMgAwBAR0AGAICOgAwAAB0BGQAAOgIyAAB0BGQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6Gw60A0XFhbOTLJlimM52J241gMAAGAFATnJlsXFxbOnNZCD3cLCwtlrPQYAACyxAACAr7OSGWQAAFgVVbUxyTHp8mtr7TNj9CUgz4nVXBN+8hP/fDW6AQAOAlW1Lcm2rml7a237bo95QZKzklyX5K6huSX5jjHGJCDPj1VbE/7jZ1931mr0AwDMvyEMb9/Pw16Y5KTW2hdXYUjWIAMAMPM+m+Srq9WZGWQAAGbdp5O8v6r+PMntuxpba68cozMBGQCAWfeZ4XLIcBmVgAwAwExrrb08Sarq7pOb7aYx+7MGGQCAmVZVJ1fVPya5NMllVXVxVT1orP4EZAAAZt32JD/bWvvm1to3J/m5JK8ZqzMBGQCAWXdYa+1vdt1orb0/yWFjdWYNMgAAs+7TVfUrSf5wuP3MJFeO1ZkZZAAAZt1zkhyV5K1J3jZc/4mxOjODDADATGutfTnJT69WfwIyAAAzqaresa/7W2tPGqNfARkAgFn1XZl8zfSbklyYpFajUwEZAIBZ9Y1Jvi/JM5L8pyR/nuRNrbXLxuzUQXoAAMyk1trO1tpfttaeneTUJFckeX9VvWDMfs0gAwAws6rq0CQ/kMks8olJXpXJ2SxGIyADADCTqur1SU5O8q4kL2+tXboa/QrIAADMqh9LcnOSByT56ap/PUavkrTW2hFjdCogAwAwk1pra3K8nIP0AACgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMAAAdARkAADoCMgAAdARkAADoCMgAANARkAEAoCMgAwBAR0AGAIDOprUeAOvPnbfvGKnunaPUHdMtX7lxlLqH3+seo9TdesRho9Q99JAapW6SbBzpbfw9j9w6St2dV4yzHx9y+DjjvXrxc6PUTZITHn/IKHXvuvWWUeqmtVHK3vypK0epmyRbjrn3KHXv+MKXRqm79eQHjVK3Nm4cpW6SbLxrpL9NI+1vm2qcv9HH3XOk512SZJy/TSthBhkAADoCMgAAdARkAADoCMgAANARkAEAoCMgAwBAR0AGAICOgAwAAB0BGQAAOgIyAAB0BGQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMAAAdARkAADoCMgAAdARkAADobFrrAfCvbltYWDh7BdufOKVxAAAc1ATkGbG4uHjuSrZfYbgGAGBgiQUAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjtO8AQAws6rqyiRt9/bW2v3G6lNABgBgli1017ckOSPJkWN2KCDPoYWFhTMz2YFGcdL3vX2s0gDAQaaqtiXZ1jVtb61t33WjtfbF3Tb5H1X1gSQvG2tMAvJ82rK4uHj2WMV/9CWfO2us2gDAwWUIw9v3dn9VPay7uSGTGeW7jzkmARkAgFn2G931HUmuSvLDY3YoIAMAMLNaa/9htfsUkAEAmFlVdWiSpyU5MV12ba396lh9CsgAAMyytyf5apKLk9y+Gh0KyAAAzLLjW2unr2aHvkkPAIBZ9sGq+ner2aEZZAAAZk5VXZrkrkzy6k9U1aczWWJRSVpr7TvG6ltABgBgFh2X5CFr0bGADADALLqytfbPa9GxgAwAwCw6uqp+dm93ttZeOVbHAjIAALNoY5LDM1lzvKoEZAAAZtG1Y34ZyL44zRsAALNo1WeOdxGQAQCYRaetVccCMgAAM6e19qW16ltABgCAjoAMAAAdARkAADoCMgAAdARkAADoCMgAANARkAEAoCMgAwBAR0AGAICOgAwAAB0BGQAAOgIyAAB0BGQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6Gxa6wHALodsOWSUulXjvQ/ceOjGUepu2DTOmG/56o2j1N1Qo5RNkty5o41S94Ybbh+l7i1fvGmUutdf/vlR6h5693Ged0my40tfHqXuhi1bRqm748Zx/u9q0zivE0my89Zx9uMdt942St07/umKUepuuNvWUeomSd21c5S6G3feMUrdDblrlLp33jXefjyLzCADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAJg7VfX4PbT95FK2FZABAJhHv1JVj911o6penOTJS9nQN+kBADCPnpTknVX1C0lOT/JtQ9t+CcgAAMyd1toXqupJSd6b5OIkP9Raa0vZVkAGAGBuVNWNSfogfEiS+yX5oapqrbUj9ldDQAYAYG601u6+0hoO0gMAYO7UxDOr6leG2ydU1SlL2VZABgBgHv1Oku9K8p+G2zcl+Z9L2dASCwAA5tF3ttYeVlX/mCSttS9X1SFL2dAMMgAA8+jOqtqY4YC9qjoqyV1L2VBABgBgHr0qyduSHFNV5yT5QJL/ZykbWmIxP25bWFg4e7h+4hqOAwBgzbXW/riqLk5yWpJK8pTW2uVL2VZAnhOLi4vn7rreBWUAgIPZNyS5pbX2v6rqqKq6b2vtyv1tZIkFAABzp6rOSvLiJC8ZmjYn+aOlbCsgAwAwj56a5ElJbk6S1to1SZb0JSICMgAA8+iO1lrL185icdhSNxSQAQCYR+dV1e8luWdV/Zck703ymqVs6CA9AADmRlXdq7X25dbar1fV9yW5IclJSV7WWnvPUmoIyAAAzJNPVNXnk3wwyT8keU1r7ZPLKWCJBQAAc6O1dnQmB+j9Q5JHJnlrVV1XVW+vql9cSg0zyAAAzJVhxviTSV5XVd+S5AlJXpjk+5O8Yn/bC8gAAMyNqnpkJjPH35XkhCSfTnJBkmcm+dBSagjIAADMkw9kEoRfmeTPWmu3LLeAgAwAwDy5TyYzyI9M8pNVtSmTwHx+kvNba5/eXwEBGQCAudFa+5ckbx0uqaq7JXlOkpcnuW+SjfurISADADA3quoemaw/3jWL/NAkVyT5P5mc2WK/BGQAAObJFZkclPfBJL+W5KLW2q3LKSAgAwAwN1prR620hi8KAQBgplXVd1fVTwzXj6qq+47Zn4AMAMDMqqqzkrw4yUuGps1J/mjMPi2xOEgsLCycmWTLNGqd9H1vn0YZAIBU1bYk27qm7a217d3tp2ZyoN2HkqS1dk1V3X0f9f5ba+3FVXVGa+1/H8iYBOSDx5bFxcWzp1HoR1/yubOmUQcAYAjD2/fxkDtaa62qWpJU1WH7KfmEqvrlTGacBWQAAObOeVX1e0nuWVX/JZNzGr9mH4//yyRfSHJYVd2QpJK0XT9ba0fsr0MBGQCAmdVa+/Wq+r4kNyQ5KcnLWmvv2cfjfyHJL1TV21trTz6QPgVkAABm2hCI9xqK97LNk6vqmCSPGJoubK19finbOosFAAAzq6purKobhsttVbVzWDqxv+3OSHJRkjOS/HCSi6rqh5bSpxlkAABmVmvt685YUVVPSXLKEjb95SSPaK1dP2x3VJL3JvnT/W1oBhkAgJlTVXucyG2t/VmSxy6hxIZd4XjwxSwx+5pBBgBgFl2U5GFV9YNd24YkC5mclWJ//rKq/irJm4bbP5LkL5bSsYAMAMAs+4/5WiDekeSqJE/a30attV8YwvV3Z3KKt+2ttbctpUMBGQCAWXR0Vf1skkt3a29JfizJK/dXoLX21iRvXW7HAjIAALNoY5LDM5n9XVUCMgAAs+ja1tqvrkXHzmIBAMAsWtHMcVU9saoOKOsKyAAAzKLTVrj905N8qqpeUVXfvpwNBWQAAGZOa+1LK9z+mUkemuSfkvyvqjq/qrZV1d33s6mADADAfGqt3ZDkLUnenOTYJE9N8qGqesG+thOQAQCYO1X1H6vqbUn+OsnmJKe01h6f5MFJfn5f2zqLBQAA8+iMJL/ZWvu7vrG1dktVPWdfGwrIAADMndbas/Zx3/v2ta0lFgAAzJ2qOrWq/m9V3VRVd1TVzqq6YSnbCsgAAMyj307yjCSfSrI1yX9O8ltL2dASCwAA5lJr7Yqq2tha25nJqd4+uJTtBGQAAObRLVV1SJJLquoVSa5NcthSNrTEAgCAefRjmWTdn0pyc5ITkjxtKRuaQQYAYO601v65qo4arr98OduaQQYAYG7UxNlV9YUkH0/yyar6fFW9bKk1BGQAAObJi5I8KskjWmv3bq3dK8l3JnlUVf3MUgoIyAAAzJNnJXlGa+3KXQ2ttU8neeZw334JyAAAzJPNrbUv7N7YWvt8ks1LKSAgAwAwT+44wPv+lbNYAAAwTx68l6+UriRbllJAQAYAYG601jautIYlFgAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHWexmE+3LSwsnL1b24nTKn77LbdPq9TXqQ01St1Nh4y3m99+862j1N1wryNGqTuWTSO+kmzePM5+cdhhh4xSd8s9to5St+1so9T9wuJXRqmbJBt//LBR6tah4/zfjbUbb77nig+o36vbP/9vvgthKmrDOPNnhxx//Ch12+23jVI3Se7aMU7tVuPsF4e08X4XBxMBeQ4tLi6eu3vbHgIzAAB7YIkFAAB0BGQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMAAAdARkAADoCMgAAdARkAADoCMgAANARkAEAoCMgAwBAR0AGAICOgAwAAB0BGQAAOgIyAAB0BGQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKCzaa0HwKq5bWFh4expFDrxUedNowwAQKpqW5JtXdP21tr2qvpokra37Vpr3zHWmATkg8Ti4uK506r1Qy/89FnTqgUAHNxaa9uTbN/DXU8cfj5/+PmHw88fTXLLmGMSkAEAmDmttX9Okqp6VGvtUd1dZ1bVPyT51bH6tgYZAIBZdlhVffeuG1X1yCSHjdmhGWQAAGbZc5P8QVXdI5M1yV9N8pwxOxSQAQCYWa21i5M8uKqOSFKtta+O3aclFgAAzKyqOqaqXpvkT1prX62qB1bVc8fsU0AGAGCWvS7JXyW5z3D7k0leNGaHAjIAALPsG1pr5yW5K0laazuS7ByzQwEZAIBZdnNV3TvDl4ZU1amZHKg3GgfpAQAwc6rqRUn+IckvJnl7kvsN5z8+KskZY/YtIAMAMIuOT/L/Jfm2JB9P8p4k78/kYL0vjNmxgAwAwMxprf18klTVIUkWkjwyyWOTvLSqvtJae+BYfQvIAADMsq1Jjkhyj+FyTZKPjtmhgAwAwMypqu1JHpTkxiQXJvlgkle21r48dt/OYgEAwCz6piSHJvmXJJ9LcnWSr6xGx2aQAQCYOa2106uqMplFfmSSn0tyclV9Kcn5rbWzxupbQAYAYCa11lqSS6vqK5mc+/irSZ6Y5JQkAjIAAAePqvrpTGaOH5XkzkzOiXx+kj+Ig/QAADgInZjkT5P8TGvt2tXsWEAGAGDmtNZ+dq36dhYLAADoCMgAANARkAEAoCMgAwBAR0AGAICOgAwAAB0BGQAAOgIyAAB0BGQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6Gxa6wGw/nzryfcZpe4nPvzZUere4+gjR6mbJHfcescode9z32NGqXv7beP8Li688Auj1E2SJz3uXqPUPfSkLaPU/cZjvn+cuk/dOErdbD50nLpJcufto5S9655HjVJ3453jPJ9zzVXj1E1ytyOOGKfwpnHiwXu/5YWj1H3w3T85St0keeOHv22Uus+73/tGqXtHjfPadvfN4zyfJ8YZ80qYQQYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMAAAdARkAADoCMgAAdARkAADoCMgAANARkAEAoCMgAwBAR0AGAICOgAwAAB0BGQAAOgIyAAB0BGQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMAAAdARkAADoCMgAAM6uqDl1K2zQJyAAAzLLzl9g2NZvGLD7PFhYWzkyyZa3HsRa+979+YK2HAADMiaralmRb17S9tba9qr4xyXFJtlbVQ5PUcP8RSe425pgE5AO3ZXFx8ey1HsRaOPM1t5211mMAAOZDa217ku17uOtxSX48yfFJXtm135jkl8Yck4AMAMDMaa29Psnrq+pprbW3rGbfAjIAADOrtfaWqvqBJA9Kt7y1tfarY/XpID0AAGZWVf1ukh9J8oJM1iGfkeSbx+xTQAYAYJY9srX2rCRfbq29PMl3JTlhzA4FZAAAZtmtw89bquo+SXYkue+YHVqDDADALHtnVd0zySuSXDy0/f6YHQrIAADMnKp6RJLPttZ+bbh9eJKPJvl4kt8cs29LLAAAmEW/l+SOJKmqRyc5d2j7avZ83uSpMYMMAMAs2tha+9Jw/Ucy+Ya9tyR5S1VdMmbHZpABAJhFG6tq12TuaUn+urtv1EleM8gAAMyiNyX526r6QiZnsvj7JKmqb81kmcVoBGQAAGZOa+2cqnpfkmOTvLu11oa7NmTypSGjEZABAJhJrbUL9tD2ybH7tQYZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMAAAdARkAADoCMgAAdARkAADoCMgAANARkAEAoCMgAwBAR0AGAICOgAwAAB0BGQAAOgIyAAB0BGQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAnU0r2Pa2hYWFs6c1kHXoxLUewFrZtHmc91U77twxSt0td9sySt0kuWvnzlHqbtm6eZS6Y7ntljtGq33JJ9oodW+68dZR6n7/95w6St2NO8f5HW9o4+zDSXLrofcYpe5dtXGUulvuvGmUuju/8dtGqZskh9147Sh179p4yCh1v3LzOP93nz/8mFHqJsktt4zzHPnCPe43St3rb7/3KHWvvWHrKHWT5JTRKh+4Aw7Ii4uL505zIOvNQf7mAABgblliAQAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMAAAdARkAADoCMgAAdARkAADoCMgAANARkAEAoCMgAwBAR0AGAICOgAwAAB0BGQAAOgIyAAB0BGQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMAAAdARkAADqb1noAAACwL1W1Mckx6bJra+0zY/UnIAMAMLOq6gVJzkpyXZK7huaW5DvG6lNAPnC3LSwsnL3Wg1gLp//UB9d6CADAnKiqbUm2dU3bW2vbu9svTHJSa+2LqzUmAfkALS4unrvWY1grv/y6O85a6zEAAPNhCMPb9/GQzyb56ioNJ4mADADAbPt0kvdX1Z8nuX1XY2vtlWN1KCADADDLPjNcDhkuoxOQAQCYWa21l692nwIyAAAzq6r+JpOzVnyd1tpjx+pTQAYAYJb9fHd9S5KnJdkxZocCMgAAM6u1dvFuTf9QVX87Zp8CMgAAM6uqjuxubkiykOQbx+xTQAYAYJZdnK+tQd6R5Kokzx2zQwEZAICZU1WPSPLZ1tp9h9vPzmT98VVJPjZm3xvGLA4AAAfo95LckSRV9egk/2+S12fyrXr7+ua9FTODDADALNrYWvvScP1Hkmxvrb0lyVuq6pIxOzaDDADALNpYVbsmc09L8tfdfaNO8ppBBgBgFr0pyd9W1ReS3Jrk75Okqr41k2UWoxGQAQCYOa21c6rqfUmOTfLu1tquM1lsSPKCMfsWkAEAmEmttQv20PbJsfu1BhkAADoCMgAAdARkAADoCMgAANARkAEAoCMgAwBAR0AGAICOgAwAAB0BGQAAOgIyAAB0BGQAAOgIyAAA0BGQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6AjIAADQEZABAKDXWnNxGe2SZJu663PM663uehzzequ7Hse83uquxzGvt7rrcczqrv7FDDJj26bu6LXVHb+2uuPXVnf82uqOX1vdceuuGgEZAAA6AjIAAHQEZMa2Xd3Ra6s7fm11x6+t7vi11R2/trrj1l01NSymBgAAYgYZAAC+joAMAAAdAZlRVNXpVfWJqrqiqs6ccu2rquqjVXVJVS1OqeaWqrqoqj5cVZdV1cunUberv7Gq/rGq3jnFmn9QVddX1aXTqjnUPaGq/qaqLh9+Fy+cYu17VtWfVtXHh/rfNc0xVtV/H2p/pKreVlX3nFLdXxtqXlJV766q+xzAmP/N/1dVnV1VnxvqXlJVT5hG3aH9BcNz8LKqesWUxvsn3VivqqpLllt3H7XPGMZ6V1UtTLHukVX1nqr61PDzXlOq+5CqumDX61BVnTKluive1/ZRe0XPj73V7e77+apqVfUNBzLm3Wr9zLA/XFpVb6qqLSutOdR94VDzsqp60ZRqntQ9Ly6pqhtWUnsv/3cPrqrza/K37/9U1REHUHdvr28reo7so+6Kn9Nraq1PxOwyf5ckG5P8U5L7JTkkyYeTPHCK9a9K8g1THnMlOXy4vjnJhUlOnWL9n03yxiTvnGLNRyd5WJJLp/y7ODbJw4brd0/yyWn9/yV5fZL/PFw/JMk9pznGJN+fZNPQ/t+S/Lcp1T2ie8xPJ/ndafx/JTk7yc9Pez9I8h+SvDfJocPto6e9fyX5jSQvm+KYvz3JSUnen2RhinVfkeTM4fqZy90n9lH33UkeP1x/QpL3T6nuive1fdRe0fNjX/tFkhOS/FWSf84KX5+THJfkyiRbh9vnJfnxldQc6pyc5NIkd0uyaXiO3H+ldXfrY2OSf0nyzSuosaf/u/+b5HuG689J8msHUHdvr28reo7so+6Kn9NreTGDzBhOSXJFa+3TrbU7krw5yZPXeEz71CZuGm5uHi5TOYK1qo5P8gNJfn8a9XZprf1dki9Ns+ZQ99rW2oeG6zcmuTyTP1grMsx4PDrJa4fad7TWvjLNMbbW3t1a2zE87IIkx0+p7g3dww7LAewbI/5/7anu85Kc21q7fXjM9VOqmySpqkryw0netNy6e6vdWru8tfaJA6m3r7qZvPa8frj++iRPmVLdlmTXLN49klwzjbrT2Nf2UXtFz4+91R38ZpJfzJReNzMJsFuralMmgXbZv989+PYkF7TWbhl+D3+b5KlTqNs7Lck/tdb++UAL7OV3fFKSvxuuvyfJ0w6g7t5e21f0HNnH6+aKn9NrSUBmDMcl+Wx3++pMIWB1WpJ3V9XFVTW1b+upyTKIS5Jcn+Q9rbULp1T6f2Tyh+OuKdVbNVV1YpKHZjKjvlL3S/L5JP+rJstNfr+qDltp0X2M8TlJ3jWtulV1TlV9NsmPJnnZgdbdg58aPvL+gwP5+H8vHpDk31fVhVX1t1X1iCnV3eXfJ7mutfapKdcdwzGttWuTyR/yJEdPqe6Lkvz3YZ/49SQvmVLdMfe13oqeH72qelKSz7XWPjyNeq21z2XyO/1MkmuTfLW19u4plL40yaOr6t5VdbdMZv5PmELd3tNzgG8c9+PSJE8arp+RFY57t9e3qT1Hpvw3Y00JyIyh9tA2zfMJPqq19rAkj0/y/Kp69DSKttZ2ttYeksmsyilVdfJKa1bVE5Nc31q7eKW1VltVHZ7kLUletNus1oHalMnHhq9urT00yc2ZfJx3wPY2xqp6aZIdSf54WnVbay9trZ0w1PyplYy78+ok35LkIZkEgd+YUt1NSe6V5NQkv5DkvGHWd1qekXFCwHryvCQ/M+wTP5Phk5FpGGlf+1crfX7sVutuSV6aKQb54Y3ik5PcN8l9khxWVc9cad3W2uWZLC15T5K/zGT53459brQMVXVIJiH2f0+rZuc5mfy9uziTZQx3HGihEV7bR627VgRkxnB1vv7d7fGZzsdjSZLW2jXDz+uTvC2TJR1TM3zs//4kp0+h3KOSPKmqrspkqcljq+qPplB3VFW1OZMXuj9urb11SmWvTnJ1NzP/p5kE5gOytzFW1bOTPDHJj7ZhUdw06nbemAP4eHNPWmvXDW/M7krymkxvX746yVuHpUMXZfLpxYoPnEqS4SPvH0zyJ9Ootwquq6pjk2T4uezlJnvx7CS79o//nSm/Dg2mtq/tstLnxx58SyZB9sPD69zxST5UVd+4gprfm+TK1trnW2t3ZvJ7fuSKR5qktfba1trDWmuPzmQZwzQ/BXl8kg+11q6bYs0kSWvt462172+tPTyTN6f/dCB19vL6tuLnyEh/M9aUgMwY/m+S+1fVfYd31E9P8o5pFK6qw6rq7ruuZ3LQyYrP4lBVR+06oruqtmbyAv3xldZtrb2ktXZ8a+3ETH4Pf91aW/FMyJiGmcbXJrm8tfbKadVtrf1Lks9W1UlD02lJPnYgtfY2xqo6PcmLkzyptXbLFOvev3vYkzKFfWOoe2x386mZwr48+LMkjx36eEAmB0R+YUq1vzfJx1trV0+p3tjekUmYzfDz7VOqe02S7xmuPzZTClpj7WtD7RU9P/aktfbR1trRrbUTh9e5qzM5YOtfVlD2M0lOraq7Dc/J0zJZ17piVXX08PObMnmjN81PQkb7ZKUb94Ykv5zkdw+gxt5e21f0HBnrb8aa2/2oPReXaVwyWdv1yUze5b50inXvl8nHYh9Octm0aif5jiT/mOQjmYSUAzo6fz99PCbTPYvFmzL5WP7OTP4oPXdKdb87kyUxH0lyyXB5wpRqPyTJ4lD7z5Lca5pjTHJFJuvfd7Ut6wwA+6j7lmG/+EiS/5PJASgr/v9K8odJPjrUfUeSY6dU95AkfzSM+UNJHjut/SvJ65L85LT33UzeIFyd5PYk1yX5qynVvXeS92USYN+X5Mgp1f3uJBcPr0UXJnn4lOqueF/bR+0VPT/2tV9091+VKZxlKMnLM3lzcOnwPDl0pTWHun+fyRvzDyc5bRo1h7p3S/LFJPeYQq09/d+9MJO/qZ9Mcm6Gb0JeZt29vb6t6Dmyj7orfk6v5cVXTQMAQMcSCwAA6AjIAADQEZABAKAjIAMAQEdABgCAjoAMwJJV1U273f7xqvrttRoPwBgEZADWXFVtXOsxAOwiIAMwFVX1zVX1vqr6yPDzm4b211XVD3WPu2n4+Ziq+puqemMmX5gCMBM2rfUAAFhXtlbVJd3tI/O1r5L/7SRvaK29vqqek+RVSZ6yn3qnJDm5tXbltAcKcKAEZACW49bW2kN23aiqH0+yMNz8riQ/OFz/wySvWEK9i4RjYNZYYgHAWNrwc0eGvzdVVUkO6R5z82oPCmB/BGQApuWDSZ4+XP/RJB8Yrl+V5OHD9Scn2by6wwJYHgEZgGn56SQ/UVUfSfJjSV44tL8myfdU1UVJvjNmjYEZV621/T8KAAAOEmaQAQCgIyADAEBHQAYAgI6ADAAAHQEZAAA6AjIAAHQEZAAA6Pz/30gKDH9H8j8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Clustermap of the Above\n",
    "sns.clustermap(dayHour, cmap = 'coolwarm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "d93a313f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Grouping by Days of Week and Month using Unstack\n",
    "dayMonth = df.groupby(by=['Day of Week', 'Month']).count()['Reason'].unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "2296f79a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Month', ylabel='Day of Week'>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Heatmap of the Above\n",
    "plt.figure(figsize=(12,7))\n",
    "sns.heatmap(dayMonth,cmap='viridis')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "90bbc07f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}