NYC311_Request_Data_Wrangling.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project 03: NYC 311 Service Request Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import required libraries\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import datetime\n",
    "import pprint as pprint\n",
    "import warnings                   # To ignore the warnings warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read data file\n",
    "file_path = \"311_Service_Requests_from_2010_to_Present.csv\"\n",
    "dateparser = lambda x:datetime.datetime.strptime(x,'%m/%d/%Y %I:%M:%S %p')\n",
    "df = pd.read_csv(file_path, index_col='Unique Key')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with pd.option_context('display.max_rows', None, 'display.max_columns', None):  # more options can be specified also\n",
    "    print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 364558 entries, 32310363 to 29611816\n",
      "Data columns (total 52 columns):\n",
      "Created Date                      364558 non-null object\n",
      "Closed Date                       362177 non-null object\n",
      "Agency                            364558 non-null object\n",
      "Agency Name                       364558 non-null object\n",
      "Complaint Type                    364558 non-null object\n",
      "Descriptor                        358057 non-null object\n",
      "Location Type                     364425 non-null object\n",
      "Incident Zip                      361560 non-null float64\n",
      "Incident Address                  312859 non-null object\n",
      "Street Name                       312859 non-null object\n",
      "Cross Street 1                    307370 non-null object\n",
      "Cross Street 2                    306753 non-null object\n",
      "Intersection Street 1             51120 non-null object\n",
      "Intersection Street 2             50512 non-null object\n",
      "Address Type                      361306 non-null object\n",
      "City                              361561 non-null object\n",
      "Landmark                          375 non-null object\n",
      "Facility Type                     362169 non-null object\n",
      "Status                            364558 non-null object\n",
      "Due Date                          364555 non-null object\n",
      "Resolution Description            364558 non-null object\n",
      "Resolution Action Updated Date    362156 non-null object\n",
      "Community Board                   364558 non-null object\n",
      "Borough                           364558 non-null object\n",
      "X Coordinate (State Plane)        360528 non-null float64\n",
      "Y Coordinate (State Plane)        360528 non-null float64\n",
      "Park Facility Name                364558 non-null object\n",
      "Park Borough                      364558 non-null object\n",
      "School Name                       364558 non-null object\n",
      "School Number                     364558 non-null object\n",
      "School Region                     364557 non-null object\n",
      "School Code                       364557 non-null object\n",
      "School Phone Number               364558 non-null object\n",
      "School Address                    364558 non-null object\n",
      "School City                       364558 non-null object\n",
      "School State                      364558 non-null object\n",
      "School Zip                        364557 non-null object\n",
      "School Not Found                  364558 non-null object\n",
      "School or Citywide Complaint      0 non-null float64\n",
      "Vehicle Type                      0 non-null float64\n",
      "Taxi Company Borough              0 non-null float64\n",
      "Taxi Pick Up Location             0 non-null float64\n",
      "Bridge Highway Name               297 non-null object\n",
      "Bridge Highway Direction          297 non-null object\n",
      "Road Ramp                         262 non-null object\n",
      "Bridge Highway Segment            262 non-null object\n",
      "Garage Lot Name                   0 non-null float64\n",
      "Ferry Direction                   1 non-null object\n",
      "Ferry Terminal Name               2 non-null object\n",
      "Latitude                          360528 non-null float64\n",
      "Longitude                         360528 non-null float64\n",
      "Location                          360528 non-null object\n",
      "dtypes: float64(10), object(42)\n",
      "memory usage: 147.4+ MB\n"
     ]
    }
   ],
   "source": [
    "# Examining the data\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Created Date', 'Closed Date', 'Agency', 'Agency Name',\n",
       "       'Complaint Type', 'Descriptor', 'Location Type', 'Incident Zip',\n",
       "       'Incident Address', 'Street Name', 'Cross Street 1', 'Cross Street 2',\n",
       "       'Intersection Street 1', 'Intersection Street 2', 'Address Type',\n",
       "       'City', 'Landmark', 'Facility Type', 'Status', 'Due Date',\n",
       "       'Resolution Description', 'Resolution Action Updated Date',\n",
       "       'Community Board', 'Borough', 'X Coordinate (State Plane)',\n",
       "       'Y Coordinate (State Plane)', 'Park Facility Name', 'Park Borough',\n",
       "       'School Name', 'School Number', 'School Region', 'School Code',\n",
       "       'School Phone Number', 'School Address', 'School City', 'School State',\n",
       "       'School Zip', 'School Not Found', 'School or Citywide Complaint',\n",
       "       'Vehicle Type', 'Taxi Company Borough', 'Taxi Pick Up Location',\n",
       "       'Bridge Highway Name', 'Bridge Highway Direction', 'Road Ramp',\n",
       "       'Bridge Highway Segment', 'Garage Lot Name', 'Ferry Direction',\n",
       "       'Ferry Terminal Name', 'Latitude', 'Longitude', 'Location'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Created Date</th>\n",
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       "      <th>Garage Lot Name</th>\n",
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       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unique Key</th>\n",
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       "      <td>12/31/2015 11:59:45 PM</td>\n",
       "      <td>01/01/2016 12:55:15 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10034.0</td>\n",
       "      <td>71 VERMILYEA AVENUE</td>\n",
       "      <td>VERMILYEA AVENUE</td>\n",
       "      <td>...</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>40.865682</td>\n",
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       "      <td>New York City Police Department</td>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>No Access</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11105.0</td>\n",
       "      <td>27-07 23 AVENUE</td>\n",
       "      <td>23 AVENUE</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.775945</td>\n",
       "      <td>-73.915094</td>\n",
       "      <td>(40.775945312321085, -73.91509393898605)</td>\n",
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       "      <td>12/31/2015 11:59:29 PM</td>\n",
       "      <td>01/01/2016 04:51:03 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>No Access</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10458.0</td>\n",
       "      <td>2897 VALENTINE AVENUE</td>\n",
       "      <td>VALENTINE AVENUE</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>40.870325</td>\n",
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       "      <td>01/01/2016 07:43:13 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Commercial Overnight Parking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10461.0</td>\n",
       "      <td>2940 BAISLEY AVENUE</td>\n",
       "      <td>BAISLEY AVENUE</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>40.835994</td>\n",
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       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Blocked Sidewalk</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11373.0</td>\n",
       "      <td>87-14 57 ROAD</td>\n",
       "      <td>57 ROAD</td>\n",
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       "      <td>01/01/2016 01:50:11 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Posted Parking Sign Violation</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11215.0</td>\n",
       "      <td>260 21 STREET</td>\n",
       "      <td>21 STREET</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.660823</td>\n",
       "      <td>-73.992568</td>\n",
       "      <td>(40.66082272389114, -73.99256786342693)</td>\n",
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       "      <td>01/01/2016 01:53:54 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Blocked Hydrant</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>524 WEST 169 STREET</td>\n",
       "      <td>WEST 169 STREET</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>01/01/2016 01:42:54 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>No Access</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10457.0</td>\n",
       "      <td>501 EAST 171 STREET</td>\n",
       "      <td>EAST 171 STREET</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.837503</td>\n",
       "      <td>-73.902905</td>\n",
       "      <td>(40.83750262540012, -73.90290517326568)</td>\n",
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       "    <tr>\n",
       "      <td>32308581</td>\n",
       "      <td>12/31/2015 11:53:58 PM</td>\n",
       "      <td>01/01/2016 08:27:32 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Posted Parking Sign Violation</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11415.0</td>\n",
       "      <td>83-44 LEFFERTS BOULEVARD</td>\n",
       "      <td>LEFFERTS BOULEVARD</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.704977</td>\n",
       "      <td>-73.832605</td>\n",
       "      <td>(40.704977164399935, -73.8326047502584)</td>\n",
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       "    <tr>\n",
       "      <td>32308391</td>\n",
       "      <td>12/31/2015 11:53:58 PM</td>\n",
       "      <td>01/01/2016 01:17:40 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>No Access</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11219.0</td>\n",
       "      <td>1408 66 STREET</td>\n",
       "      <td>66 STREET</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.623793</td>\n",
       "      <td>-73.999539</td>\n",
       "      <td>(40.623793065806524, -73.99953890121567)</td>\n",
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       "</table>\n",
       "<p>10 rows × 52 columns</p>\n",
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      ],
      "text/plain": [
       "                      Created Date             Closed Date Agency  \\\n",
       "Unique Key                                                          \n",
       "32310363    12/31/2015 11:59:45 PM  01/01/2016 12:55:15 AM   NYPD   \n",
       "32309934    12/31/2015 11:59:44 PM  01/01/2016 01:26:57 AM   NYPD   \n",
       "32309159    12/31/2015 11:59:29 PM  01/01/2016 04:51:03 AM   NYPD   \n",
       "32305098    12/31/2015 11:57:46 PM  01/01/2016 07:43:13 AM   NYPD   \n",
       "32306529    12/31/2015 11:56:58 PM  01/01/2016 03:24:42 AM   NYPD   \n",
       "32306554    12/31/2015 11:56:30 PM  01/01/2016 01:50:11 AM   NYPD   \n",
       "32306559    12/31/2015 11:55:32 PM  01/01/2016 01:53:54 AM   NYPD   \n",
       "32307009    12/31/2015 11:54:05 PM  01/01/2016 01:42:54 AM   NYPD   \n",
       "32308581    12/31/2015 11:53:58 PM  01/01/2016 08:27:32 AM   NYPD   \n",
       "32308391    12/31/2015 11:53:58 PM  01/01/2016 01:17:40 AM   NYPD   \n",
       "\n",
       "                                Agency Name           Complaint Type  \\\n",
       "Unique Key                                                             \n",
       "32310363    New York City Police Department  Noise - Street/Sidewalk   \n",
       "32309934    New York City Police Department         Blocked Driveway   \n",
       "32309159    New York City Police Department         Blocked Driveway   \n",
       "32305098    New York City Police Department          Illegal Parking   \n",
       "32306529    New York City Police Department          Illegal Parking   \n",
       "32306554    New York City Police Department          Illegal Parking   \n",
       "32306559    New York City Police Department          Illegal Parking   \n",
       "32307009    New York City Police Department         Blocked Driveway   \n",
       "32308581    New York City Police Department          Illegal Parking   \n",
       "32308391    New York City Police Department         Blocked Driveway   \n",
       "\n",
       "                               Descriptor    Location Type  Incident Zip  \\\n",
       "Unique Key                                                                 \n",
       "32310363                 Loud Music/Party  Street/Sidewalk       10034.0   \n",
       "32309934                        No Access  Street/Sidewalk       11105.0   \n",
       "32309159                        No Access  Street/Sidewalk       10458.0   \n",
       "32305098     Commercial Overnight Parking  Street/Sidewalk       10461.0   \n",
       "32306529                 Blocked Sidewalk  Street/Sidewalk       11373.0   \n",
       "32306554    Posted Parking Sign Violation  Street/Sidewalk       11215.0   \n",
       "32306559                  Blocked Hydrant  Street/Sidewalk       10032.0   \n",
       "32307009                        No Access  Street/Sidewalk       10457.0   \n",
       "32308581    Posted Parking Sign Violation  Street/Sidewalk       11415.0   \n",
       "32308391                        No Access  Street/Sidewalk       11219.0   \n",
       "\n",
       "                    Incident Address         Street Name  ...  \\\n",
       "Unique Key                                                ...   \n",
       "32310363         71 VERMILYEA AVENUE    VERMILYEA AVENUE  ...   \n",
       "32309934             27-07 23 AVENUE           23 AVENUE  ...   \n",
       "32309159       2897 VALENTINE AVENUE    VALENTINE AVENUE  ...   \n",
       "32305098         2940 BAISLEY AVENUE      BAISLEY AVENUE  ...   \n",
       "32306529               87-14 57 ROAD             57 ROAD  ...   \n",
       "32306554               260 21 STREET           21 STREET  ...   \n",
       "32306559         524 WEST 169 STREET     WEST 169 STREET  ...   \n",
       "32307009         501 EAST 171 STREET     EAST 171 STREET  ...   \n",
       "32308581    83-44 LEFFERTS BOULEVARD  LEFFERTS BOULEVARD  ...   \n",
       "32308391              1408 66 STREET           66 STREET  ...   \n",
       "\n",
       "           Bridge Highway Name Bridge Highway Direction Road Ramp  \\\n",
       "Unique Key                                                          \n",
       "32310363                   NaN                      NaN       NaN   \n",
       "32309934                   NaN                      NaN       NaN   \n",
       "32309159                   NaN                      NaN       NaN   \n",
       "32305098                   NaN                      NaN       NaN   \n",
       "32306529                   NaN                      NaN       NaN   \n",
       "32306554                   NaN                      NaN       NaN   \n",
       "32306559                   NaN                      NaN       NaN   \n",
       "32307009                   NaN                      NaN       NaN   \n",
       "32308581                   NaN                      NaN       NaN   \n",
       "32308391                   NaN                      NaN       NaN   \n",
       "\n",
       "           Bridge Highway Segment Garage Lot Name Ferry Direction  \\\n",
       "Unique Key                                                          \n",
       "32310363                      NaN             NaN             NaN   \n",
       "32309934                      NaN             NaN             NaN   \n",
       "32309159                      NaN             NaN             NaN   \n",
       "32305098                      NaN             NaN             NaN   \n",
       "32306529                      NaN             NaN             NaN   \n",
       "32306554                      NaN             NaN             NaN   \n",
       "32306559                      NaN             NaN             NaN   \n",
       "32307009                      NaN             NaN             NaN   \n",
       "32308581                      NaN             NaN             NaN   \n",
       "32308391                      NaN             NaN             NaN   \n",
       "\n",
       "           Ferry Terminal Name   Latitude  Longitude  \\\n",
       "Unique Key                                             \n",
       "32310363                   NaN  40.865682 -73.923501   \n",
       "32309934                   NaN  40.775945 -73.915094   \n",
       "32309159                   NaN  40.870325 -73.888525   \n",
       "32305098                   NaN  40.835994 -73.828379   \n",
       "32306529                   NaN  40.733060 -73.874170   \n",
       "32306554                   NaN  40.660823 -73.992568   \n",
       "32306559                   NaN  40.840848 -73.937375   \n",
       "32307009                   NaN  40.837503 -73.902905   \n",
       "32308581                   NaN  40.704977 -73.832605   \n",
       "32308391                   NaN  40.623793 -73.999539   \n",
       "\n",
       "                                            Location  \n",
       "Unique Key                                            \n",
       "32310363     (40.86568153633767, -73.92350095571744)  \n",
       "32309934    (40.775945312321085, -73.91509393898605)  \n",
       "32309159    (40.870324522111424, -73.88852464418646)  \n",
       "32305098     (40.83599404683083, -73.82837939584206)  \n",
       "32306529    (40.733059618956815, -73.87416975810375)  \n",
       "32306554     (40.66082272389114, -73.99256786342693)  \n",
       "32306559     (40.840847591440415, -73.9373750864581)  \n",
       "32307009     (40.83750262540012, -73.90290517326568)  \n",
       "32308581     (40.704977164399935, -73.8326047502584)  \n",
       "32308391    (40.623793065806524, -73.99953890121567)  \n",
       "\n",
       "[10 rows x 52 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 364558 entries, 32310363 to 29611816\n",
      "Data columns (total 52 columns):\n",
      "Created Date                      364558 non-null object\n",
      "Closed Date                       362177 non-null object\n",
      "Agency                            364558 non-null object\n",
      "Agency Name                       364558 non-null object\n",
      "Complaint Type                    364558 non-null object\n",
      "Descriptor                        358057 non-null object\n",
      "Location Type                     364425 non-null object\n",
      "Incident Zip                      361560 non-null float64\n",
      "Incident Address                  312859 non-null object\n",
      "Street Name                       312859 non-null object\n",
      "Cross Street 1                    307370 non-null object\n",
      "Cross Street 2                    306753 non-null object\n",
      "Intersection Street 1             51120 non-null object\n",
      "Intersection Street 2             50512 non-null object\n",
      "Address Type                      361306 non-null object\n",
      "City                              361561 non-null object\n",
      "Landmark                          375 non-null object\n",
      "Facility Type                     362169 non-null object\n",
      "Status                            364558 non-null object\n",
      "Due Date                          364555 non-null object\n",
      "Resolution Description            364558 non-null object\n",
      "Resolution Action Updated Date    362156 non-null object\n",
      "Community Board                   364558 non-null object\n",
      "Borough                           364558 non-null object\n",
      "X Coordinate (State Plane)        360528 non-null float64\n",
      "Y Coordinate (State Plane)        360528 non-null float64\n",
      "Park Facility Name                364558 non-null object\n",
      "Park Borough                      364558 non-null object\n",
      "School Name                       364558 non-null object\n",
      "School Number                     364558 non-null object\n",
      "School Region                     364557 non-null object\n",
      "School Code                       364557 non-null object\n",
      "School Phone Number               364558 non-null object\n",
      "School Address                    364558 non-null object\n",
      "School City                       364558 non-null object\n",
      "School State                      364558 non-null object\n",
      "School Zip                        364557 non-null object\n",
      "School Not Found                  364558 non-null object\n",
      "School or Citywide Complaint      0 non-null float64\n",
      "Vehicle Type                      0 non-null float64\n",
      "Taxi Company Borough              0 non-null float64\n",
      "Taxi Pick Up Location             0 non-null float64\n",
      "Bridge Highway Name               297 non-null object\n",
      "Bridge Highway Direction          297 non-null object\n",
      "Road Ramp                         262 non-null object\n",
      "Bridge Highway Segment            262 non-null object\n",
      "Garage Lot Name                   0 non-null float64\n",
      "Ferry Direction                   1 non-null object\n",
      "Ferry Terminal Name               2 non-null object\n",
      "Latitude                          360528 non-null float64\n",
      "Longitude                         360528 non-null float64\n",
      "Location                          360528 non-null object\n",
      "dtypes: float64(10), object(42)\n",
      "memory usage: 147.4+ MB\n"
     ]
    }
   ],
   "source": [
    "# data Exploring\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Column :  Created Date Uniques Values : ['12/31/2015 11:59:45 PM' '12/31/2015 11:59:44 PM'\n",
      " '12/31/2015 11:59:29 PM' ... '01/01/2015 12:01:30 AM'\n",
      " '01/01/2015 12:01:29 AM' '01/01/2015 12:00:50 AM']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Closed Date Uniques Values : ['01/01/2016 12:55:15 AM' '01/01/2016 01:26:57 AM'\n",
      " '01/01/2016 04:51:03 AM' ... '01/01/2015 02:25:02 AM'\n",
      " '01/01/2015 12:20:33 AM' '01/01/2015 02:42:22 AM']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Agency Uniques Values : ['NYPD']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Agency Name Uniques Values : ['New York City Police Department' 'NYPD' 'Internal Affairs Bureau']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Complaint Type Uniques Values : ['Noise - Street/Sidewalk' 'Blocked Driveway' 'Illegal Parking'\n",
      " 'Derelict Vehicle' 'Noise - Commercial' 'Noise - House of Worship'\n",
      " 'Posting Advertisement' 'Noise - Vehicle' 'Animal Abuse' 'Vending'\n",
      " 'Traffic' 'Drinking' 'Bike/Roller/Skate Chronic' 'Panhandling'\n",
      " 'Noise - Park' 'Homeless Encampment' 'Urinating in Public' 'Graffiti'\n",
      " 'Disorderly Youth' 'Illegal Fireworks' 'Ferry Complaint' 'Agency Issues'\n",
      " 'Squeegee' 'Animal in a Park']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Descriptor Uniques Values : ['Loud Music/Party' 'No Access' 'Commercial Overnight Parking'\n",
      " 'Blocked Sidewalk' 'Posted Parking Sign Violation' 'Blocked Hydrant'\n",
      " 'With License Plate' 'Partial Access' 'Unauthorized Bus Layover'\n",
      " 'Double Parked Blocking Vehicle' 'Double Parked Blocking Traffic'\n",
      " 'Vehicle' 'Loud Talking' 'Banging/Pounding' 'Car/Truck Music' 'Tortured'\n",
      " 'In Prohibited Area' 'Congestion/Gridlock' 'Neglected' 'Car/Truck Horn'\n",
      " 'In Public' 'Other (complaint details)' nan 'No Shelter'\n",
      " 'Truck Route Violation' 'Unlicensed' 'Overnight Commercial Storage'\n",
      " 'Engine Idling' 'After Hours - Licensed Est' 'Detached Trailer'\n",
      " 'Underage - Licensed Est' 'Chronic Stoplight Violation' 'Loud Television'\n",
      " 'Chained' 'Building' 'In Car' 'Police Report Requested'\n",
      " 'Chronic Speeding' 'Playing in Unsuitable Place' 'Drag Racing'\n",
      " 'Police Report Not Requested' 'Nuisance/Truant' 'Homeless Issue'\n",
      " 'Language Access Complaint' 'Disruptive Passenger' 'Animal Waste']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Location Type Uniques Values : ['Street/Sidewalk' 'Club/Bar/Restaurant' 'Store/Commercial'\n",
      " 'House of Worship' 'Residential Building/House' 'Residential Building'\n",
      " 'Park/Playground' 'Vacant Lot' 'House and Store' 'Highway' 'Commercial'\n",
      " 'Roadway Tunnel' 'Subway Station' 'Parking Lot' 'Bridge' 'Terminal' nan\n",
      " 'Ferry' 'Park']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Incident Zip Uniques Values : [10034. 11105. 10458. 10461. 11373. 11215. 10032. 10457. 11415. 11219.\n",
      " 11372. 10453. 11208. 11379. 11374. 11412. 11217. 11234. 10026. 10456.\n",
      " 10030. 10467. 11432. 10031. 11419. 10024. 11201. 11216. 10462.    nan\n",
      " 11385. 11414. 11213. 11375. 11211. 10312. 10017. 11417. 10002. 10027.\n",
      " 11209. 10035. 11418. 11421. 11205. 10468. 11355. 11358. 11210. 11368.\n",
      " 11427. 11436. 10308. 11364. 10011. 11423. 11230. 10003. 11221. 11416.\n",
      " 11378. 11236. 11218. 10029. 10028. 11214. 11207. 11369. 11223. 11220.\n",
      " 10302. 11420. 11354. 10473. 10301. 11103. 10465. 11377. 11212. 11365.\n",
      " 10472. 10452. 11203. 10469. 11237. 11434. 11101. 10460. 11229. 11206.\n",
      " 11102. 10466. 10009. 10033. 11694. 10022. 10470. 11433. 11428. 11413.\n",
      " 10463. 10471. 10474. 11228. 10014. 10475. 11225. 11233. 11370. 11204.\n",
      " 11435. 10459. 11238. 10304. 11367. 10306. 10305. 10001. 10314. 10019.\n",
      " 11222. 10023. 11356. 11235. 10018. 10036. 11106. 10075. 10025. 10451.\n",
      " 11366. 10005. 10303. 10455. 11361. 10016. 10309. 10013. 11226. 10012.\n",
      " 11224. 11249. 10039. 10128. 10454. 10010. 11360. 11004. 11691. 10307.\n",
      " 11232. 10038. 10310. 10040. 11426. 11362. 11411. 11429. 11422. 10007.\n",
      " 10065. 10021. 10004. 11104. 11231. 11357. 11239. 11363. 10037. 11693.\n",
      " 10280. 11430. 10464. 10006. 11692. 10044. 11001. 10282. 11371. 10281.\n",
      " 11109. 11040.    83. 10020. 10000. 11697. 11251. 10103. 10112. 10069.\n",
      " 11451. 10153. 10041. 11242. 10119. 10048. 10803. 11695. 10111. 10162.\n",
      " 10123. 11241.]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Incident Address Uniques Values : ['71 VERMILYEA AVENUE' '27-07 23 AVENUE' '2897 VALENTINE AVENUE' ...\n",
      " '447 HOWE AVENUE' '2310 PEARSALL AVENUE' '19 MICIELI PLACE']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Street Name Uniques Values : ['VERMILYEA AVENUE' '23 AVENUE' 'VALENTINE AVENUE' ... 'CANDON AVENUE'\n",
      " 'PLANK ROAD' 'STRATTON STREET']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Cross Street 1 Uniques Values : ['ACADEMY STREET' '27 STREET' 'EAST 198 STREET' ...\n",
      " 'WHITESTONE EXPRESSWAY SR W UNP' 'WENDY DRIVE' 'UTTER AVENUE']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Cross Street 2 Uniques Values : ['WEST 204 STREET' '28 STREET' 'EAST 199 STREET' ... 'BERGLUND AVENUE'\n",
      " 'JOAN PLACE' 'WALKER COURT']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Intersection Street 1 Uniques Values : [nan 'GRAND CENTRAL PARKWAY' 'DEVOE STREET' ... '254 STREET'\n",
      " 'WEST BRIGHTON AVENUE' 'CORTLANDT STREET']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Intersection Street 2 Uniques Values : [nan '63 AVENUE' 'BUSHWICK AVENUE' ... 'BROOKLYN BRIDGE' 'HANNIBAL STREET'\n",
      " 'TORRY AVENUE']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Address Type Uniques Values : ['ADDRESS' nan 'INTERSECTION' 'LATLONG' 'BLOCKFACE' 'PLACENAME']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  City Uniques Values : ['NEW YORK' 'ASTORIA' 'BRONX' 'ELMHURST' 'BROOKLYN' 'KEW GARDENS'\n",
      " 'JACKSON HEIGHTS' 'MIDDLE VILLAGE' 'REGO PARK' 'SAINT ALBANS' 'JAMAICA'\n",
      " 'SOUTH RICHMOND HILL' nan 'RIDGEWOOD' 'HOWARD BEACH' 'FOREST HILLS'\n",
      " 'STATEN ISLAND' 'OZONE PARK' 'RICHMOND HILL' 'WOODHAVEN' 'FLUSHING'\n",
      " 'CORONA' 'QUEENS VILLAGE' 'OAKLAND GARDENS' 'HOLLIS' 'MASPETH'\n",
      " 'EAST ELMHURST' 'SOUTH OZONE PARK' 'WOODSIDE' 'FRESH MEADOWS'\n",
      " 'LONG ISLAND CITY' 'ROCKAWAY PARK' 'SPRINGFIELD GARDENS' 'COLLEGE POINT'\n",
      " 'BAYSIDE' 'GLEN OAKS' 'FAR ROCKAWAY' 'BELLEROSE' 'LITTLE NECK'\n",
      " 'CAMBRIA HEIGHTS' 'ROSEDALE' 'SUNNYSIDE' 'WHITESTONE' 'ARVERNE'\n",
      " 'FLORAL PARK' 'NEW HYDE PARK' 'CENTRAL PARK' 'BREEZY POINT' 'QUEENS'\n",
      " 'Astoria' 'Long Island City' 'Woodside' 'East Elmhurst' 'Howard Beach']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Landmark Uniques Values : [nan 'MADISON SQUARE GARDEN' 'J F K AIRPORT' 'CLOVE LAKE' 'WISE TOWERS'\n",
      " 'FERRY TERMINAL' 'BRONX ZOO' 'UNION SQUARE PARK' 'SERRANO PLAYGROUND'\n",
      " 'WASHINGTON SQUARE PARK' 'CENTRAL PARK' 'BETH ISRAEL MED CENTER'\n",
      " 'BARCLAYS CENTER' 'LA GUARDIA AIRPORT' 'HIGHLAND PARK' 'WAGNER COLLEGE'\n",
      " 'WORLDS FAIR MARINA' 'RODMANS NECK' 'SUNSET PARK' 'UNITED NATIONS HQ'\n",
      " 'CONEY ISLAND HOSPITAL' 'WASHINGTON SQUARE' 'BRONX LEBANON HOSPITAL'\n",
      " 'MARCUS GARVEY MEMORIAL PARK' 'MANHATTAN COMMUNITY COLLEGE'\n",
      " 'BKLYN BATTERY TUNNEL' 'MARCUS GARVEY PARK'\n",
      " 'BKLYN PUBLIC LIBRARY CTR BRANCH' 'CITI FIELD' 'FLUSHING MEADOW PARK'\n",
      " 'LINCOLN TERRACE PARK' 'YANKEE STADIUM' 'MEADOW LAKE' 'MANHATTAN COLLEGE'\n",
      " 'PROSPECT PARK' 'PS 174' 'MERCER PLAYGROUND' 'CITY HALL'\n",
      " 'BROOKLYN BRIDGE' 'PIER 94' 'LEIF ERICSON PARK' 'FORT GREENE PARK'\n",
      " 'GRAND ARMY PLAZA' 'METROPOLITAN MUSEUM' 'SI FERRY TERMINAL'\n",
      " 'MADISON SQUARE PARK' 'TRANSMITTER PARK' 'JOHN JAY PARK' 'SOUNDVIEW PARK'\n",
      " 'JOYCE KILMER PARK' 'QUEENSBRIDGE PARK' 'BROOKLYN MUSEUM' 'PIER 2'\n",
      " 'SOUTH STREET SEAPORT' 'COLUMBUS PARK' 'ST JOHN THE DIVINE'\n",
      " 'VAN CORTLAND PARK' 'WOODHULL MEDICAL CENTER' 'SEWARD PARK'\n",
      " 'EAST RIVER PARK' 'KOLBERT PARK' 'ST JOHNS UNIVERSITY' 'BARRY PARK'\n",
      " 'RAILROAD PARK' 'BRIGHTON BEACH' 'COOPER PARK' 'VALENTINO PARK'\n",
      " 'MORNINGSIDE PARK' 'ST MARYS PARK' 'VAN CORTLANDT PARK'\n",
      " 'CADMAN PLAZA PARK' 'JACKIE ROBINSON PARK' 'ASTORIA PARK' 'GAELIC PARK'\n",
      " 'PARKSIDE PLAYGROUND' '79 STREET BOAT BASIN' 'GRAND CENTRAL TERM'\n",
      " 'RIVERSIDE PARK' 'SOUTH BEACH' 'ROBERTO CLEMENTE STATE PARK BRDG'\n",
      " 'ROY WILKINS PARK' 'MARINE PARK' 'PELHAM BAY PARK' 'LINCOLN CENTER'\n",
      " 'MAURICE PARK' 'HAFFEN PARK' 'CONEY ISLAND BEACH' 'FORT TRYON PARK'\n",
      " 'PORT AUTH 42 STREET' 'COOPER UNION' 'TANAHEY PLAYGROUND'\n",
      " 'HAMILTON METZ FIELD' 'BATTERY PARK' 'CUYLER GORE' 'INWOOD HILL PARK'\n",
      " 'BETH ABRAHAM HOSPITAL' 'SEANS PLACE' 'BK BOTANIC GARDENS'\n",
      " 'JUMEL MANSION' 'POWELL COVE' 'CLAREMONT PARK' 'FORT INDEPENDENCE PARK'\n",
      " 'AQUEDUCT RACE TRACK' 'THE CLOISTERS' 'J HOOD WRIGHT PARK'\n",
      " 'LEHMAN COLLEGE' 'GREENWOOD PLAYGROUND' 'JUNIPER VALLEY PARK'\n",
      " 'MARIA HERNANDEZ PARK' 'JOHN JAY HS HISTORICAL' 'VICTORY FIELD'\n",
      " 'KINGS COUNTY HOSPITAL' 'MUSEUM NATURAL HIST' 'FLATIRON BUILDING'\n",
      " 'ROCKEFELLER CENTER' 'QUEENS HOSPITAL CENTER' 'INTREPID MUSEUM'\n",
      " 'MONTEFIORE HOSPITAL' 'BAY PLAZA' 'BRYANT PARK' 'LENOX HILL HOSPITAL']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Facility Type Uniques Values : ['Precinct' nan]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Status Uniques Values : ['Closed' 'Open' 'Assigned' 'Draft']\n",
      "--------------------------------------------------------------------------------------------\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Column :  Due Date Uniques Values : ['01/01/2016 07:59:45 AM' '01/01/2016 07:59:44 AM'\n",
      " '01/01/2016 07:59:29 AM' ... '01/01/2015 08:01:30 AM'\n",
      " '01/01/2015 08:01:29 AM' '01/01/2015 08:00:50 AM']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Resolution Description Uniques Values : ['The Police Department responded and upon arrival those responsible for the condition were gone.'\n",
      " 'The Police Department responded to the complaint and with the information available observed no evidence of the violation at that time.'\n",
      " 'The Police Department responded to the complaint and took action to fix the condition.'\n",
      " 'The Police Department issued a summons in response to the complaint.'\n",
      " 'The Police Department responded to the complaint and determined that police action was not necessary.'\n",
      " 'The Police Department reviewed your complaint and provided additional information below.'\n",
      " 'Your request can not be processed at this time because of insufficient contact information. Please create a new Service Request on NYC.gov and provide more detailed contact information.'\n",
      " \"This complaint does not fall under the Police Department's jurisdiction.\"\n",
      " 'Your complaint has been forwarded to the New York Police Department for a non-emergency response. 311 will have additional information in 8 hours. Please note your service request number for future reference.'\n",
      " 'The Police Department responded to the complaint and a report was prepared.'\n",
      " 'The Police Department responded to the complaint but officers were unable to gain entry into the premises.'\n",
      " 'The Police Department made an arrest in response to the complaint.'\n",
      " \"Your complaint has been forwarded to the New York Police Department for a non-emergency response. If the police determine the vehicle is illegally parked, they will ticket the vehicle and then you may either contact a private towing company to remove the vehicle or ask your local precinct to contact 'rotation tow'. Any fees charged for towing will have to be paid by the vehicle owner. 311 will have additional information in 8 hours. Please note your service request number for future reference.\"\n",
      " 'Your complaint has been received by the Police Department and it has been determined that a long-term investigation may be necessary.  Additional information will be available at the conclusion of the investigation.'\n",
      " 'The Department of Transportation contacted the customer and resolved the Service Request or provided the information requested.'\n",
      " 'The New York City Police Department received your comments and forwarded them to the appropriate unit for resolution. You may follow up by calling (646) 610-6952 after 60 days from submitting your agency issue.'\n",
      " 'The Department of Transportation requires 30 days to respond to this type of complaint.  Please note your Service Request number for future reference.'\n",
      " 'The condition was determined to be an issue appropriate for handling by an alternate entity.  The Department of Parks and Recreation has notified the appropriate resource.']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Resolution Action Updated Date Uniques Values : ['01/01/2016 12:55:15 AM' '01/01/2016 01:26:57 AM'\n",
      " '01/01/2016 04:51:03 AM' ... '01/01/2015 02:25:02 AM'\n",
      " '01/01/2015 12:20:33 AM' '01/01/2015 02:42:22 AM']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Community Board Uniques Values : ['12 MANHATTAN' '01 QUEENS' '07 BRONX' '10 BRONX' '04 QUEENS'\n",
      " '07 BROOKLYN' '03 BRONX' '09 QUEENS' '11 BROOKLYN' '03 QUEENS' '05 BRONX'\n",
      " '05 BROOKLYN' '05 QUEENS' '06 QUEENS' '12 QUEENS' '06 BROOKLYN'\n",
      " '18 BROOKLYN' '10 MANHATTAN' '04 BRONX' '12 BRONX' '09 MANHATTAN'\n",
      " '10 QUEENS' '07 MANHATTAN' '02 BROOKLYN' '03 BROOKLYN' '11 BRONX'\n",
      " '0 Unspecified' '08 BROOKLYN' '01 BROOKLYN' '03 STATEN ISLAND'\n",
      " '06 MANHATTAN' '03 MANHATTAN' '10 BROOKLYN' '11 MANHATTAN' '07 QUEENS'\n",
      " '11 QUEENS' '17 BROOKLYN' '13 QUEENS' '06 BRONX' '04 MANHATTAN'\n",
      " '14 BROOKLYN' '12 BROOKLYN' '08 MANHATTAN' '13 BROOKLYN' '15 BROOKLYN'\n",
      " '01 STATEN ISLAND' '09 BRONX' '02 STATEN ISLAND' '02 QUEENS'\n",
      " '16 BROOKLYN' '08 QUEENS' '09 BROOKLYN' '04 BROOKLYN' '14 QUEENS'\n",
      " '05 MANHATTAN' '08 BRONX' '02 BRONX' '02 MANHATTAN' '01 BRONX'\n",
      " '01 MANHATTAN' '83 QUEENS' '95 STATEN ISLAND' '81 QUEENS' '27 BRONX'\n",
      " 'Unspecified STATEN ISLAND' '64 MANHATTAN' '80 QUEENS' '55 BROOKLYN'\n",
      " '26 BRONX' '82 QUEENS' '56 BROOKLYN' '28 BRONX' 'Unspecified QUEENS'\n",
      " 'Unspecified MANHATTAN' '84 QUEENS']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Borough Uniques Values : ['MANHATTAN' 'QUEENS' 'BRONX' 'BROOKLYN' 'Unspecified' 'STATEN ISLAND']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  X Coordinate (State Plane) Uniques Values : [1005409. 1007766. 1015081. ... 1042439. 1010945.  960620.]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Y Coordinate (State Plane) Uniques Values : [254678. 221986. 256380. ... 173691. 252658. 174792.]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Park Facility Name Uniques Values : ['Unspecified' 'Alley Pond Park - Nature Center']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Park Borough Uniques Values : ['MANHATTAN' 'QUEENS' 'BRONX' 'BROOKLYN' 'Unspecified' 'STATEN ISLAND']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  School Name Uniques Values : ['Unspecified' 'Alley Pond Park - Nature Center']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  School Number Uniques Values : ['Unspecified' 'Q001']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  School Region Uniques Values : ['Unspecified' nan]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  School Code Uniques Values : ['Unspecified' nan]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  School Phone Number Uniques Values : ['Unspecified' '7182176034']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  School Address Uniques Values : ['Unspecified' 'Grand Central Parkway, near the soccer field']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  School City Uniques Values : ['Unspecified' 'QUEENS']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  School State Uniques Values : ['Unspecified' 'NY']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  School Zip Uniques Values : ['Unspecified' nan]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  School Not Found Uniques Values : ['N']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  School or Citywide Complaint Uniques Values : [nan]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Vehicle Type Uniques Values : [nan]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Taxi Company Borough Uniques Values : [nan]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Taxi Pick Up Location Uniques Values : [nan]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Bridge Highway Name Uniques Values : [nan 'BQE/Gowanus Expwy' 'Grand Central Pkwy' 'Cross Bronx Expwy'\n",
      " 'Park Ave Tunnel - E 34th St./Grand Central' 'Long Island Expwy' 'FDR Dr'\n",
      " 'Prospect Expwy' 'Jackie Robinson/Interboro Pkwy' 'Staten Island Expwy'\n",
      " 'Hutchinson River Pkwy' 'Belt Pkwy' 'First Ave Tunnel - UN Plaza'\n",
      " 'Van Wyck Expwy' 'West Street' 'FDR Southbound' 'Battery Park Underpass'\n",
      " 'Harlem River Dr' 'Bronx River Pkwy' 'Richmond Pkwy/Korean War Vets'\n",
      " 'Nassau Expwy' 'Henry Hudson Pkwy/Rt 9A' 'Third Ave Br - Fifth St Basin'\n",
      " 'Major Deegan Expwy' 'Sheridan Expwy' 'Whitestone Expwy'\n",
      " 'Cross Island Pkwy' 'Bruckner Expwy' 'Third Ave Br - E 129th St'\n",
      " 'Clearview Expwy']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Bridge Highway Direction Uniques Values : [nan 'East/Queens Bound' 'West/Toward Triborough Br'\n",
      " 'North/Westbound (To GW Br)' 'West/Staten Island Bound' 'North Bound'\n",
      " 'West/Manhattan Bound' 'Northbound/Uptown' 'Westbound/To BQE' 'Westbound'\n",
      " 'Westbound/To Goethals Br' 'North/Westchester County Bound'\n",
      " 'East/Brooklyn Bound' 'West/Brooklyn Bound' 'Southbound/Downtown'\n",
      " 'East/Long Island Bound' 'East/Bronx Bound' 'South/JFK Airport Bound'\n",
      " 'South Bound' 'Eastbound/To Ocean Pkwy' 'North/Bronx Bound'\n",
      " 'To West St/West Side' 'South/Downtown' 'To FDR/East Side' 'Eastbound'\n",
      " 'Northbound' 'South/Toward Triborough Br' 'Southbound'\n",
      " 'Southbound/To Triborough Br' 'South/East (To Throgs Neck Br)'\n",
      " 'Manhattan Bound' 'North/Eastbound' 'South/New Jersey Bound'\n",
      " 'South/Queens Bound' 'South/Long Island Bound']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Road Ramp Uniques Values : [nan 'Roadway' 'Ramp']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Bridge Highway Segment Uniques Values : [nan\n",
      " 'Brooklyn-Queens Expwy(I-278) (Exit 25) - Brooklyn-Battery Tunnel (I-478)'\n",
      " 'La Guardia Airport-Main Terminal (Exit 7) - La Guardia Airport/Steinway St (Exit 5)'\n",
      " 'Whitestone Br (I-678) (Exit 6A) - Cross Bronx Expwy Extension (I-295) (Exit 6B)'\n",
      " 'Meeker Ave/Morgan Ave (Exit 34)' 'Grand Central Pkwy (Exit 22 A-B)'\n",
      " '38th St / 39th St (Exit 23) - Prospect Expwy (NY 27) (Exit 24)'\n",
      " 'East 96th St (Exit 14) - Triborough Br (Exit 17)'\n",
      " '4th Ave (Exit 2B) - Hamilton Ave (Exit 2A)'\n",
      " 'Cypress Ave Vermont Place (Exit 2) - Bushwick Ave (Exit 1)'\n",
      " 'Clove Rd/Richmond Rd (Exit 13) - Todt Hill Road/Slosson Ave (Exit 12)'\n",
      " 'East Tremont Ave / Westchester Ave (Exit 2) - Pelham Pkwy (Exit 3E)'\n",
      " 'Victory Blvd (Exit 8) - Dr Martin Luther King Jr Expwy (NY 440) (Exit 9)'\n",
      " 'Van Wyck Expwy (I-678) (Exit 19) - Lefferts Blvd. (Exit 18)'\n",
      " 'East 42nd St (Exit 9) - East 61st St / East 63rd St (Exit 12)'\n",
      " 'Triborough Br (Exit 17) - East 116th St (Exit 16)'\n",
      " 'Cross Bay Blvd (Exit 17 S-N) - Nassau Expwy (NY 878)/Van Wyck Expwy (I-678) (Exit 19)'\n",
      " 'Roosevelt Ave / Broadway (Exit 37) - Northern Blvd (NY 25A) (Exit 38)'\n",
      " 'McGuinness Blvd / Humboldt St (Exit 33) - Kosciuszko Br (to Queens)'\n",
      " 'Hillside Ave/Jamaica Ave (Exit 6)'\n",
      " 'Jackie Robinson Pkwy (Exit 7) - Hillside Ave/Jamaica Ave (Exit 6)'\n",
      " 'East 96th St (Exit 14) - East 71st St (Exit 13)'\n",
      " 'BEGIN Staten Island Expwy (Exit 15N) - Lily Pond Ave/Bay St (Exit 15S)'\n",
      " '31st St (Exit 3)' 'Clove Rd/Richmond Rd (Exit 13)'\n",
      " 'END FDR Dr/Battery Park Underpass'\n",
      " '10Ave/11Ave (Exit 4) - Park Circle (Exit 5)'\n",
      " 'Flushing Meadows-Corona Park (Exit 9P) - Whitestone Expwy (I-678) (Exit 9E)'\n",
      " 'Nassau Expwy (NY 878) (Exit 1A) - Belt Pkwy (1 E-W)'\n",
      " 'E 125th St 2nd Ave (Exit 19)'\n",
      " 'Flushing Ave (Exit 30) - Williamsburg Br / Metropolitan Ave (Exit 32)'\n",
      " 'East 71st St (Exit 13) - East 61st St / East 63rd St (Exit 12)'\n",
      " 'BEGIN Staten Island Expwy - Forest Ave (Exit 4)'\n",
      " 'Ocean Pkwy (Exit 7 S-N) - Coney Island Ave (Exit 8)'\n",
      " 'East 61st St / East 63rd St (Exit 12) - East 96th St (Exit 14)'\n",
      " 'Forest Ave (Exit 4) - West Shore Expwy (NY 440) (Exit 5)'\n",
      " 'East 71st St (Exit 13)' 'East 20th St/East 23rd St (Exit 7)'\n",
      " 'Rockaway Pkwy (Exit 13) - Flatbush Ave (Exit 11N)'\n",
      " 'Entrance Bronx River Pkwy'\n",
      " 'Cypress Hills St (Exit 3) - Forest Park Dr (Exit 4)'\n",
      " 'Arden Ave - Richmond Ave'\n",
      " 'Houston St (Exit 5) - East 20th St / East 23rd St (Exit 7)'\n",
      " 'Castle Hill Ave (Exit 5B) - Bronx-Whitestone Br (I-678) (Exit 6A)'\n",
      " 'JFK Expwy (Exit 2S)- JFK Expwy (Exit 2N)'\n",
      " 'Flatbush Ave (Exit 11N) - Flatbush Ave (Exit 11S)'\n",
      " 'W 57 St - W 72 St (Exit 9)'\n",
      " 'Gateway National Recreation Area (Exit 12) - Rockaway Pkwy (Exit 13)'\n",
      " 'East 106th St (Exit 15) - East 96th St (Exit 14)'\n",
      " 'Grand Central Pkwy (Exit 22 A-B) - Junction Blvd (Exit 20)' 'Roadway'\n",
      " 'Kissena Blvd (Exit 24)'\n",
      " 'Jerome Ave (Exit 2A) - Webster Ave (US 1) (Exit 2B)'\n",
      " 'Metropolitan Ave (Exit 6) -Van Wyck Expwy (I-678) (Exit 7)'\n",
      " 'Bronx River Pkwy (Exit 4B) - Westchester Ave / White Plains Road (Exit 5A)'\n",
      " 'Cross Bronx / GWB (Exit 14) - Riverside Dr (Exit 15)'\n",
      " 'Grand Central Pkwy (Split) (Exit 39)'\n",
      " 'Brooklyn-Queens Expwy (I-278) (Exit 4) - La Guardia Airport/Astoria Blvd. (Exit 5)'\n",
      " 'East 96th St (Exit 14)'\n",
      " 'Westchester Ave / White Plains Road (Exit 5A) - Castle Hill Ave (Exit 5B)'\n",
      " 'E 161St (Exit 6) - E 155th St/W 153rd St (Exit 5)'\n",
      " 'Bradley Ave (Exit 11) - Todt Hill Road/Slosson Ave (Exit 12)'\n",
      " 'Richmond Ave (Exit 7) - Victory Blvd (Exit 8)'\n",
      " 'Entrance ramp from George Washington Bridge'\n",
      " 'BEGIN Sheridan Expwy - Westchester Ave'\n",
      " 'Bronx River Pkwy/Westchester County'\n",
      " '92nd St (From Lower Level) (Exit 17)' 'Entrance Staten Island Expwy'\n",
      " 'Triborough Bridge Connector (I-278) (Exit 17)'\n",
      " '78th Ave Queens Blvd (NY 25) (Exit 12) - Van Wyck Expwy (I-678) (Exit 13)'\n",
      " 'Triborough Bridge (Exit 17)'\n",
      " 'Amsterdam Ave. W. 179th St. / George Washington Br (Exit 24) - Dyckman St 10th Ave'\n",
      " 'Van Cortlandt Park South (Exit 11) - W 230th St (Exit 10)'\n",
      " '20th Ave (Exit 15) - Cross Island Pkwy (Exit 16)'\n",
      " 'South St (Exit 1) - Battery Park Underpass'\n",
      " 'Throgs Neck Br/Pennyfield Ave (Exit 8) - Throgs Neck Expwy (I-695) (Exit 10)'\n",
      " 'South St (Exit 3) - Pearl St / Brooklyn Br (Exit 2)'\n",
      " 'Crospey Ave Stillwell Ave (Exit 6N) - Crospey Ave Stillwell Ave (Exit 6S)'\n",
      " 'Belt Pkwy (1 E-W) - Rockaway Blvd (Exit 2)'\n",
      " 'East 61st St/East 63rd St (Exit 12)'\n",
      " 'Northern Blvd (NY 25A) (Exit 31E) - Northern Blvd (NY 25A) (Exit 31W)'\n",
      " '3rd Ave (Exit 21)'\n",
      " 'Sheridan Expwy (I-895) (Exit 4A) - Bronx River Pkwy (Exit 4B)'\n",
      " 'Westchester Ave (Exit 8A) - East Tremont Ave (Exit 7B)'\n",
      " 'BEGIN Cross Bronx Expwy (Extension) - Randall Ave (Exit 11)'\n",
      " 'Springfield Blvd. (Exit 22) - Sunrise Highway(NY 27) (Exit 23)'\n",
      " '8Ave/7Ave (Exit 3) - 4th Ave (Exit 2B)' 'Entrance Belt Pkwy'\n",
      " '7th Ave/65th St (Exit 20) - 3rd Ave (Exit 21)' 'Entrance FDR Dr'\n",
      " 'Webster Ave (US 1) (Exit 2B) - Sheridan Expwy (I-895) (Exit 4A)' 'Ramp'\n",
      " 'Linden Place (Exit 14) - 20th Ave (Exit 15)'\n",
      " 'Wythe Ave / Kent Ave (Exit 31) - Tillary St /Manhattan Br (Exit 29)'\n",
      " 'Begin Brooklyn-Queens Expwy'\n",
      " 'Boston Post Road (US 1N) (Exit 6) - East 177th St / Sheridan Expwy (I-895) (Exit 5)'\n",
      " 'Flatbush Ave (Exit 11S) - Flatbush Ave (Exit 11N)'\n",
      " 'Cross Bay Blvd (Exit 17N) - Cross Bay Blvd (Exit 17S)'\n",
      " 'Clove Rd/Richmond Rd (Exit 13) - Lily Pond Ave/Bay St (Exit 15 S-N)'\n",
      " 'Westchester Ave - END Sheridan Expwy (Bruckner Expwy) (I-278)'\n",
      " 'Todt Hill Road/Slosson Ave (Exit 12) - Bradley Ave (Exit 11)'\n",
      " 'W. Fordham Rd (Exit 9) - I95 / US 1 (Exit 7 N-S)'\n",
      " 'Van Wyck Service Roads - Federal Circle'\n",
      " 'Dr Martin Luther King Jr Expwy (NY 440) (Exit 9) - Bradley Ave (Exit 11)'\n",
      " 'Queens Blvd (NY 25) / Woodhaven Blvd (Exit 19) - 108th St (Exit 21)'\n",
      " 'Hoyt Ave (Exit 3) - Triboro Br' 'Maurice Ave (Exit 18)'\n",
      " '30th Ave (Exit 40) West Leg - Astoria Blvd (Exit 41) West Leg'\n",
      " 'Francis Lewis Blvd. (Exit 24A) - 130th Ave. (Exit 24B)'\n",
      " 'JFK Expwy (Exit 20) - Van Wyck Expwy (I-678) (Exit 19)'\n",
      " 'Clearview Expwy (I-295) (Exit 21 S-N) - Union Trnpke (Exit 22)'\n",
      " 'South St (Exit 1)' 'Erskine St (Exit 15) - Pennsylvania Ave (Exit 14)'\n",
      " 'Crospey Ave Stillwell Ave (Exit 6 S-N) - Ocean Pkwy (Exit 7 S-N)'\n",
      " 'W 79 St (Exit 10) - W 57 St'\n",
      " 'Knapp St (Exits 9 A-B) - Coney Island Ave (Exit 8)'\n",
      " 'Bay Pkwy (Exit 5) - Bay 8th St 14th Ave (Exit 4)'\n",
      " 'Northern Blvd (Exit 5) - 35th Ave (Exit 6A)' 'Rockaway Pkwy (Exit 13)'\n",
      " 'N. Conduit Ave. (NY27) (Exit 17W) - Cross Bay Blvd (Exit 17N)'\n",
      " 'Castle Hill Ave (Exit 5B)' 'W 79 St (Exit 10) - W 96 St (Exit 11)'\n",
      " 'Bronx River Pkwy (Exit 48 S-N) - White Plains Road / Westchester Ave (Exit 49)'\n",
      " 'Cross Island Pkwy (Exit 30S) - Little Neck Pkwy (Exit 32)'\n",
      " '150th St (Exit 20) - Farmers Blvd. Guy R. Brewer Blvd. (Exit 21B)'\n",
      " 'Begin Korean War Vets Pkwy/Arthur Kill Rd - Arden Ave'\n",
      " '130th Ave. (Exit 24B) - Southern State Pkwy (Exit 25A)'\n",
      " 'East 177th St/Sheridan Expwy (I-895) (Exit 5)'\n",
      " 'End Major Deegan Expwy/Westchester'\n",
      " 'Lafayette Ave - END Hutchinson River Pkwy' 'Bushwick Ave (Exit 1)'\n",
      " 'I95/US 1 (Exit 7 N-S)' '6th Ave/65th St (Exit 20)'\n",
      " '6th Ave (Exit 20) - 86th St (Exit 19)'\n",
      " 'Southern State Pkwy (Exit 25A) - END Cross Island Pkwy'\n",
      " 'Clearview Expwy (I-295) (Exit 27 S-N) - Utopia Pkwy (Exit 25)'\n",
      " 'Van Dam St (Exit 15) - Queens Midtown Tunnel'\n",
      " 'Flatbush Ave (Exit 11N) - Gateway National Recreation Area (Exit 12)'\n",
      " 'South Ave (Exit 6) - West Shore Expwy (NY 440) (Exit 5)'\n",
      " 'Brooklyn-Queens Expwy (I-278) (Exit 17 E-W) - Queens Blvd (NY 25) / Woodhaven Blvd (Exit 19)'\n",
      " 'Brooklyn-Queens Expwy (I-278) (Exit 17W) - Greenpoint Ave (Exit 16)'\n",
      " 'Hamilton Ave (Exit 26) - Atlantic Ave (Exit 27)'\n",
      " 'East 61st St / East 63rd St (Exit 12) - East 53rd St (Exit 11)'\n",
      " '92nd St (Exit 17) - Fort Hamilton Pkwy (Exit 18)'\n",
      " 'Entrance Major Deegan Expwy' 'W 125 St (Exit 12) - W 95 St (Exit 11)'\n",
      " 'W 237th St/W 239th St (Exit 20) - W 246th St/W 250th St (Exit 21)'\n",
      " 'Belt Pkwy - 65th St - 67th St (Exit 1)'\n",
      " 'Westchester Ave/White Plains Road (Exit 5A)'\n",
      " '30th Ave (From East Leg) (Exit 40)'\n",
      " 'Brooklyn Br (Exit 28B) - Manhattan Br (Exit 29A)'\n",
      " 'Van Wyck Expwy (I-678) (Exit 7)'\n",
      " 'Hamilton Ave (Exit 2A) - Gowanus Expwy (I-278) (Exit 1)'\n",
      " 'East 233rd St (Exit 10) - Westchester County'\n",
      " 'W 230th (Exit 10) - Van Cortlandt Park South (Exit 11)'\n",
      " 'END Brooklyn-Queens Expwy' '38th St/39th St (Exit 23)'\n",
      " 'W 125 St (Exit 12) - W 158 St (Exit 13)'\n",
      " 'Queens Blvd (NY 25)/Woodhaven Blvd (Exit 19)'\n",
      " 'Wythe Ave/Kent Ave (Exit 31)'\n",
      " '20th Ave (Exit 15) - Linden Place (Exit 14)'\n",
      " 'East Fordham Road (US 1S) (Exit 7W)'\n",
      " 'Bay 8th St 14th Ave (Exit 4) - Bay Pkwy (Exit 5)'\n",
      " 'Cross Bronx / GWB (Exit 14) - W 158 St (Exit 13)'\n",
      " '111th st (Exit 8) - Northern Blvd. (NY25A)/Whitestone Expwy (I-678) (Exit 9E)'\n",
      " '188th St (Exit 19)'\n",
      " 'Bushwick Ave (Exit 1) - End Jackie Robinson Pkwy Westbound'\n",
      " 'Tillary St /Manhattan Br (Exit 29) - Cadman Plaza West / Brooklyn Br (Exit 28)'\n",
      " 'BEGIN Cross Island Pkwy - 14th Ave / Francis Lewis Blvd (Exit 35)'\n",
      " 'E 155th St/W 153rd St (Exit 5)' 'Bruckner Blvd (Exit 1) - Lafayette Ave'\n",
      " 'W 95 St (Exit 11) - W 79 St (Exit 10)'\n",
      " 'W. 155th St 8th Ave. (Exit 23) - E. 142nd St. 5th Ave (Exit 22)'\n",
      " 'Rockaway Blvd (Exit 2)'\n",
      " 'Willis Ave (Exit 2) - E. 138th St / Grand Concourse (Exit 3)'\n",
      " 'Bronx River Pkwy (Exit 4B)'\n",
      " 'Randall Ave (Exit 11) - JCT Cross Bronx Expwy (I-95), Bruckner Expwy (I-278)'\n",
      " 'Entrance Cross Bronx Expwy (Extension)'\n",
      " 'Orchard Beach Road (Exit 5) - Baychester Ave (Exit 4B)'\n",
      " '38th St / 39th St (Exit 23) - Belt Pkwy (Exit 22)'\n",
      " 'Third Ave (Exit 3) - Jerome Ave (Exit 2A)'\n",
      " '65th St - 67th St (Exit 1) - 4th Ave (Exit 2)'\n",
      " '30th Ave (Exit 40) East Leg - East and West Legs Merge'\n",
      " 'E 149th St (Exit 4) - E 155th St/W 153rd St (Exit 5)'\n",
      " 'Cross Island Pkwy (Exit 16) - 20th Ave (Exit 15)'\n",
      " 'Grand St (Exit 4) - South St (Exit 3)'\n",
      " 'E 138th St/Grand Concourse (Exit 3)'\n",
      " 'La Guardia Airport-Main Terminal (Exit 7)']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Garage Lot Name Uniques Values : [nan]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Ferry Direction Uniques Values : [nan 'Manhattan Bound']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Ferry Terminal Name Uniques Values : [nan 'St. George Terminal (Staten Island)' 'Barberi']\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Latitude Uniques Values : [40.86568154 40.77594531 40.87032452 ... 40.86006783 40.64643889\n",
      " 40.73884743]\n",
      "--------------------------------------------------------------------------------------------\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Column :  Longitude Uniques Values : [-73.92350096 -73.91509394 -73.88852464 ... -73.85211211 -73.9819714\n",
      " -73.86375174]\n",
      "--------------------------------------------------------------------------------------------\n",
      "Column :  Location Uniques Values : ['(40.86568153633767, -73.92350095571744)'\n",
      " '(40.775945312321085, -73.91509393898605)'\n",
      " '(40.870324522111424, -73.88852464418646)' ...\n",
      " '(40.860067825505645, -73.85211211113571)'\n",
      " '(40.64643889447912, -73.98197140465561)'\n",
      " '(40.73884743426441, -73.86375174412073)']\n",
      "--------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Data cleansing\n",
    "# After reading the data, noticed that there are mixed  type in column 48, 49\n",
    "# Columns 48 is Ferry Direction and columns 49 is Ferry Terminal Name\n",
    "for i in df:\n",
    "    print(\"Column : \", i, \"Uniques Values :\", df[i].unique())\n",
    "    print('--------------------------------------------------------------------------------------------')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# The first step in data cleaning is to:\n",
    "Decide what to do with \"bad\" data (\"UNKNOWN\", etc.). Convert to Nan or delete the record.\n",
    "Make sure all data in a column is in the correct format (convert floats to strings, get rid of the 4 digit extension)\n",
    "Decide what to do with missing values (NaNs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              Status Closed Date\n",
      "Unique Key                      \n",
      "32305700        Open         NaN\n",
      "32309308        Open         NaN\n",
      "32303348        Open         NaN\n",
      "32294519        Open         NaN\n",
      "32296487        Open         NaN\n",
      "...              ...         ...\n",
      "29618691        Open         NaN\n",
      "29619230        Open         NaN\n",
      "29618672        Open         NaN\n",
      "29617561    Assigned         NaN\n",
      "29617257        Open         NaN\n",
      "\n",
      "[2381 rows x 2 columns]\n",
      "Records to be eliminated :  Created Date                      2381\n",
      "Closed Date                          0\n",
      "Agency                            2381\n",
      "Agency Name                       2381\n",
      "Complaint Type                    2381\n",
      "Descriptor                        2376\n",
      "Location Type                     2378\n",
      "Incident Zip                        58\n",
      "Incident Address                  2368\n",
      "Street Name                       2368\n",
      "Cross Street 1                     524\n",
      "Cross Street 2                      40\n",
      "Intersection Street 1              492\n",
      "Intersection Street 2                8\n",
      "Address Type                        58\n",
      "City                                58\n",
      "Landmark                             0\n",
      "Facility Type                       10\n",
      "Status                            2381\n",
      "Due Date                          2379\n",
      "Resolution Description            2381\n",
      "Resolution Action Updated Date      18\n",
      "Community Board                   2381\n",
      "Borough                           2381\n",
      "X Coordinate (State Plane)          58\n",
      "Y Coordinate (State Plane)          58\n",
      "Park Facility Name                2381\n",
      "Park Borough                      2381\n",
      "School Name                       2381\n",
      "School Number                     2381\n",
      "School Region                     2381\n",
      "School Code                       2381\n",
      "School Phone Number               2381\n",
      "School Address                    2381\n",
      "School City                       2381\n",
      "School State                      2381\n",
      "School Zip                        2381\n",
      "School Not Found                  2381\n",
      "School or Citywide Complaint         0\n",
      "Vehicle Type                         0\n",
      "Taxi Company Borough                 0\n",
      "Taxi Pick Up Location                0\n",
      "Bridge Highway Name                  0\n",
      "Bridge Highway Direction             0\n",
      "Road Ramp                            0\n",
      "Bridge Highway Segment               0\n",
      "Garage Lot Name                      0\n",
      "Ferry Direction                      1\n",
      "Ferry Terminal Name                  2\n",
      "Latitude                            58\n",
      "Longitude                           58\n",
      "Location                            58\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Check Closed Date\n",
    "df_close_date = df[[\"Status\",\"Closed Date\"]]\n",
    "print(df_close_date[df_close_date[\"Closed Date\"].isna()])\n",
    "# Based on the output below, just need to have closed incidents\n",
    "print(\"Records to be eliminated : \", df[df[\"Closed Date\"].isna()].count())\n",
    "df = df[~df[\"Closed Date\"].isna()]\n",
    "\n",
    "# Dealing with time\n",
    "# Dates and times are best converted to datetime\n",
    "# That way they will be useful for analysis because we can compute timedelta objects\n",
    "dateparser = lambda x:datetime.datetime.strptime(x,'%m/%d/%Y %I:%M:%S %p')\n",
    "df['Created Date'] = df['Created Date'].apply(lambda x:datetime.datetime.strptime(x,'%m/%d/%Y %I:%M:%S %p'))\n",
    "df['Closed Date'] = df['Closed Date'].apply(lambda x:datetime.datetime.strptime(x,'%m/%d/%Y %I:%M:%S %p'))\n",
    "#df['Due Date'] = df['Due Date'].apply(lambda x:datetime.datetime.strptime(x,'%m/%d/%Y %I:%M:%S %p'))\n",
    "# "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to fix the ZIP codes\n",
    "def fix_zip(input_zip):\n",
    "    try:\n",
    "        input_zip = int(float(input_zip))\n",
    "    except:\n",
    "        try:\n",
    "            input_zip = int(input_zip.split('-')[0])\n",
    "        except:\n",
    "            return np.NaN\n",
    "    return str(input_zip)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'20000'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Testing the fix_zip function\n",
    "input_zip = '20000-0'\n",
    "fix_zip(input_zip)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Loud Music/Party' 'No Access' 'Commercial Overnight Parking'\n",
      " 'Blocked Sidewalk' 'Posted Parking Sign Violation' 'Blocked Hydrant'\n",
      " 'With License Plate' 'Partial Access' 'Unauthorized Bus Layover'\n",
      " 'Double Parked Blocking Vehicle' 'Double Parked Blocking Traffic'\n",
      " 'Vehicle' 'Loud Talking' 'Banging/Pounding' 'Car/Truck Music' 'Tortured'\n",
      " 'In Prohibited Area' 'Congestion/Gridlock' 'Neglected' 'Car/Truck Horn'\n",
      " 'In Public' 'Other (complaint details)' nan 'No Shelter'\n",
      " 'Truck Route Violation' 'Unlicensed' 'Overnight Commercial Storage'\n",
      " 'Engine Idling' 'After Hours - Licensed Est' 'Detached Trailer'\n",
      " 'Underage - Licensed Est' 'Chronic Stoplight Violation' 'Loud Television'\n",
      " 'Chained' 'Building' 'In Car' 'Police Report Requested'\n",
      " 'Chronic Speeding' 'Playing in Unsuitable Place' 'Drag Racing'\n",
      " 'Police Report Not Requested' 'Nuisance/Truant'\n",
      " 'Language Access Complaint' 'Animal Waste']\n",
      "Records to be revised :  Created Date                      6496\n",
      "Closed Date                       6496\n",
      "Agency                            6496\n",
      "Agency Name                       6496\n",
      "Complaint Type                    6496\n",
      "Descriptor                           0\n",
      "Location Type                     6486\n",
      "Incident Zip                      6492\n",
      "Incident Address                  4246\n",
      "Street Name                       4246\n",
      "Cross Street 1                    4290\n",
      "Cross Street 2                    4287\n",
      "Intersection Street 1             2178\n",
      "Intersection Street 2             2176\n",
      "Address Type                      6468\n",
      "City                              6492\n",
      "Landmark                            49\n",
      "Facility Type                     6493\n",
      "Status                            6496\n",
      "Due Date                          6496\n",
      "Resolution Description            6496\n",
      "Resolution Action Updated Date    6494\n",
      "Community Board                   6496\n",
      "Borough                           6496\n",
      "X Coordinate (State Plane)        6425\n",
      "Y Coordinate (State Plane)        6425\n",
      "Park Facility Name                6496\n",
      "Park Borough                      6496\n",
      "School Name                       6496\n",
      "School Number                     6496\n",
      "School Region                     6496\n",
      "School Code                       6496\n",
      "School Phone Number               6496\n",
      "School Address                    6496\n",
      "School City                       6496\n",
      "School State                      6496\n",
      "School Zip                        6496\n",
      "School Not Found                  6496\n",
      "School or Citywide Complaint         0\n",
      "Vehicle Type                         0\n",
      "Taxi Company Borough                 0\n",
      "Taxi Pick Up Location                0\n",
      "Bridge Highway Name                 25\n",
      "Bridge Highway Direction            25\n",
      "Road Ramp                           21\n",
      "Bridge Highway Segment              21\n",
      "Garage Lot Name                      0\n",
      "Ferry Direction                      0\n",
      "Ferry Terminal Name                  0\n",
      "Latitude                          6425\n",
      "Longitude                         6425\n",
      "Location                          6425\n",
      "dtype: int64\n",
      "['Loud Music/Party' 'No Access' 'Commercial Overnight Parking'\n",
      " 'Blocked Sidewalk' 'Posted Parking Sign Violation' 'Blocked Hydrant'\n",
      " 'With License Plate' 'Partial Access' 'Unauthorized Bus Layover'\n",
      " 'Double Parked Blocking Vehicle' 'Double Parked Blocking Traffic'\n",
      " 'Vehicle' 'Loud Talking' 'Banging/Pounding' 'Car/Truck Music' 'Tortured'\n",
      " 'In Prohibited Area' 'Congestion/Gridlock' 'Neglected' 'Car/Truck Horn'\n",
      " 'In Public' 'Other (complaint details)' 'No Shelter'\n",
      " 'Truck Route Violation' 'Unlicensed' 'Overnight Commercial Storage'\n",
      " 'Engine Idling' 'After Hours - Licensed Est' 'Detached Trailer'\n",
      " 'Underage - Licensed Est' 'Chronic Stoplight Violation' 'Loud Television'\n",
      " 'Chained' 'Building' 'In Car' 'Police Report Requested'\n",
      " 'Chronic Speeding' 'Playing in Unsuitable Place' 'Drag Racing'\n",
      " 'Police Report Not Requested' 'Nuisance/Truant'\n",
      " 'Language Access Complaint' 'Animal Waste']\n",
      "--------------------------------------------------------------------------------------------------\n",
      "['Street/Sidewalk' 'Club/Bar/Restaurant' 'Store/Commercial'\n",
      " 'House of Worship' 'Residential Building/House' 'Residential Building'\n",
      " 'Park/Playground' 'Vacant Lot' 'House and Store' 'Highway' 'Commercial'\n",
      " 'Roadway Tunnel' 'Subway Station' 'Parking Lot' 'Bridge' nan 'Park']\n",
      "Records to be revised :  Created Date                      130\n",
      "Closed Date                       130\n",
      "Agency                            130\n",
      "Agency Name                       130\n",
      "Complaint Type                    130\n",
      "Descriptor                        130\n",
      "Location Type                       0\n",
      "Incident Zip                      122\n",
      "Incident Address                  102\n",
      "Street Name                       102\n",
      "Cross Street 1                    102\n",
      "Cross Street 2                    102\n",
      "Intersection Street 1              19\n",
      "Intersection Street 2              19\n",
      "Address Type                      122\n",
      "City                              122\n",
      "Landmark                            0\n",
      "Facility Type                     121\n",
      "Status                            130\n",
      "Due Date                          129\n",
      "Resolution Description            130\n",
      "Resolution Action Updated Date     93\n",
      "Community Board                   130\n",
      "Borough                           130\n",
      "X Coordinate (State Plane)        122\n",
      "Y Coordinate (State Plane)        122\n",
      "Park Facility Name                130\n",
      "Park Borough                      130\n",
      "School Name                       130\n",
      "School Number                     130\n",
      "School Region                     130\n",
      "School Code                       130\n",
      "School Phone Number               130\n",
      "School Address                    130\n",
      "School City                       130\n",
      "School State                      130\n",
      "School Zip                        130\n",
      "School Not Found                  130\n",
      "School or Citywide Complaint        0\n",
      "Vehicle Type                        0\n",
      "Taxi Company Borough                0\n",
      "Taxi Pick Up Location               0\n",
      "Bridge Highway Name                 0\n",
      "Bridge Highway Direction            0\n",
      "Road Ramp                           0\n",
      "Bridge Highway Segment              0\n",
      "Garage Lot Name                     0\n",
      "Ferry Direction                     0\n",
      "Ferry Terminal Name                 0\n",
      "Latitude                          122\n",
      "Longitude                         122\n",
      "Location                          122\n",
      "dtype: int64\n",
      "['Street/Sidewalk' 'Club/Bar/Restaurant' 'Store/Commercial'\n",
      " 'House of Worship' 'Residential Building/House' 'Residential Building'\n",
      " 'Park/Playground' 'Vacant Lot' 'House and Store' 'Highway' 'Commercial'\n",
      " 'Roadway Tunnel' 'Subway Station' 'Parking Lot' 'Bridge' 'Others' 'Park']\n",
      "--------------------------------------------------------------------------------------------------\n",
      "[10034. 11105. 10458. 10461. 11373. 11215. 10032. 10457. 11415. 11219.\n",
      " 11372. 10453. 11208. 11379. 11374. 11412. 11217. 11234. 10026. 10456.\n",
      " 10030. 10467. 11432. 10031. 11419. 10024. 11201. 11216. 10462.    nan\n",
      " 11385. 11414. 11213. 11375. 11211. 10312. 10017. 11417. 10002. 10027.\n",
      " 11209. 10035. 11418. 11421. 11205. 10468. 11355. 11358. 11210. 11368.\n",
      " 11427. 11436. 10308. 11364. 10011. 11423. 11230. 10003. 11221. 11416.\n",
      " 11378. 11236. 11218. 10029. 10028. 11214. 11207. 11369. 11223. 11220.\n",
      " 10302. 11420. 11354. 10473. 10301. 11103. 10465. 11377. 11212. 11365.\n",
      " 10472. 10452. 11203. 10469. 11237. 11434. 11101. 10460. 11229. 11206.\n",
      " 11102. 10466. 10009. 10033. 11694. 10022. 10470. 11433. 11428. 11413.\n",
      " 10463. 10471. 10474. 11228. 10014. 10475. 11225. 11233. 11370. 11204.\n",
      " 11435. 10459. 11238. 10304. 11367. 10306. 10305. 10001. 10314. 10019.\n",
      " 11222. 10023. 11356. 11235. 10018. 10036. 11106. 10075. 10025. 10451.\n",
      " 11366. 10005. 10303. 10455. 11361. 10016. 10309. 10013. 11226. 10012.\n",
      " 11224. 11249. 10039. 10128. 10454. 10010. 11360. 11004. 11691. 10307.\n",
      " 11232. 10038. 10310. 10040. 11426. 11362. 11411. 11429. 11422. 10007.\n",
      " 10065. 10021. 10004. 11104. 11231. 11357. 11239. 11363. 10037. 11693.\n",
      " 10280. 11430. 10464. 10006. 11692. 10044. 11001. 10282. 11371. 10281.\n",
      " 11109. 11040.    83. 10020. 10000. 11697. 11251. 10103. 10112. 10069.\n",
      " 11451. 10153. 10041. 11242. 10119. 10048. 10803. 11695. 10111. 10162.\n",
      " 10123. 11241.]\n",
      "Records to be revised :  Created Date                      675\n",
      "Closed Date                       675\n",
      "Agency                            675\n",
      "Agency Name                       675\n",
      "Complaint Type                    675\n",
      "Descriptor                        675\n",
      "Location Type                     675\n",
      "Incident Zip                        0\n",
      "Incident Address                  641\n",
      "Street Name                       641\n",
      "Cross Street 1                    125\n",
      "Cross Street 2                      1\n",
      "Intersection Street 1             124\n",
      "Intersection Street 2               0\n",
      "Address Type                       39\n",
      "City                                4\n",
      "Landmark                            0\n",
      "Facility Type                     666\n",
      "Status                            675\n",
      "Due Date                          675\n",
      "Resolution Description            675\n",
      "Resolution Action Updated Date    675\n",
      "Community Board                   675\n",
      "Borough                           675\n",
      "X Coordinate (State Plane)         41\n",
      "Y Coordinate (State Plane)         41\n",
      "Park Facility Name                675\n",
      "Park Borough                      675\n",
      "School Name                       675\n",
      "School Number                     675\n",
      "School Region                     674\n",
      "School Code                       674\n",
      "School Phone Number               675\n",
      "School Address                    675\n",
      "School City                       675\n",
      "School State                      675\n",
      "School Zip                        674\n",
      "School Not Found                  675\n",
      "School or Citywide Complaint        0\n",
      "Vehicle Type                        0\n",
      "Taxi Company Borough                0\n",
      "Taxi Pick Up Location               0\n",
      "Bridge Highway Name                 2\n",
      "Bridge Highway Direction            2\n",
      "Road Ramp                           2\n",
      "Bridge Highway Segment              2\n",
      "Garage Lot Name                     0\n",
      "Ferry Direction                     0\n",
      "Ferry Terminal Name                 0\n",
      "Latitude                           41\n",
      "Longitude                          41\n",
      "Location                           41\n",
      "dtype: int64\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[10034. 11105. 10458. 10461. 11373. 11215. 10032. 10457. 11415. 11219.\n",
      " 11372. 10453. 11208. 11379. 11374. 11412. 11217. 11234. 10026. 10456.\n",
      " 10030. 10467. 11432. 10031. 11419. 10024. 11201. 11216. 10462. 11385.\n",
      " 11414. 11213. 11375. 11211. 10312. 10017. 11417. 10002. 10027. 11209.\n",
      " 10035. 11418. 11421. 11205. 10468. 11355. 11358. 11210. 11368. 11427.\n",
      " 11436. 10308. 11364. 10011. 11423. 11230. 10003. 11221. 11416. 11378.\n",
      " 11236. 11218. 10029. 10028. 11214. 11207. 11369. 11223. 11220. 10302.\n",
      " 11420. 11354. 10473. 10301. 11103. 10465. 11377. 11212. 11365. 10472.\n",
      " 10452. 11203. 10469. 11237. 11434. 11101. 10460. 11229. 11206. 11102.\n",
      " 10466. 10009. 10033. 11694. 10022. 10470. 11433. 11428. 11413. 10463.\n",
      " 10471. 10474. 11228. 10014. 10475. 11225. 11233. 11370. 11204. 11435.\n",
      " 10459. 11238. 10304. 11367. 10306. 10305. 10001. 10314. 10019. 11222.\n",
      " 10023. 11356. 11235. 10018. 10036. 11106. 10075. 10025. 10451. 11366.\n",
      " 10005. 10303. 10455. 11361. 10016. 10309. 10013. 11226. 10012. 11224.\n",
      " 11249. 10039. 10128. 10454. 10010. 11360. 11004. 11691. 10307. 11232.\n",
      " 10038. 10310. 10040. 11426. 11362. 11411. 11429. 11422. 10007. 10065.\n",
      " 10021. 10004. 11104. 11231. 11357. 11239. 11363. 10037. 11693. 10280.\n",
      " 11430. 10464. 10006. 11692. 10044. 11001. 10282. 11371. 10281. 11109.\n",
      " 11040.    83. 10020. 10000. 11697. 11251. 10103. 10112. 10069. 11451.\n",
      " 10153. 10041. 11242. 10119. 10048. 10803. 11695. 10111. 10162. 10123.\n",
      " 11241.]\n",
      "--------------------------------------------------------------------------------------------------\n",
      "['NEW YORK' 'ASTORIA' 'BRONX' 'ELMHURST' 'BROOKLYN' 'KEW GARDENS'\n",
      " 'JACKSON HEIGHTS' 'MIDDLE VILLAGE' 'REGO PARK' 'SAINT ALBANS' 'JAMAICA'\n",
      " 'SOUTH RICHMOND HILL' 'RIDGEWOOD' 'HOWARD BEACH' 'FOREST HILLS'\n",
      " 'STATEN ISLAND' 'OZONE PARK' 'RICHMOND HILL' 'WOODHAVEN' 'FLUSHING'\n",
      " 'CORONA' 'QUEENS VILLAGE' 'OAKLAND GARDENS' 'HOLLIS' 'MASPETH'\n",
      " 'EAST ELMHURST' 'SOUTH OZONE PARK' 'WOODSIDE' 'FRESH MEADOWS'\n",
      " 'LONG ISLAND CITY' 'ROCKAWAY PARK' 'SPRINGFIELD GARDENS' 'COLLEGE POINT'\n",
      " 'BAYSIDE' 'GLEN OAKS' 'FAR ROCKAWAY' 'BELLEROSE' 'LITTLE NECK'\n",
      " 'CAMBRIA HEIGHTS' 'ROSEDALE' 'SUNNYSIDE' 'WHITESTONE' 'ARVERNE'\n",
      " 'FLORAL PARK' 'NEW HYDE PARK' 'CENTRAL PARK' 'BREEZY POINT' 'QUEENS' nan\n",
      " 'Astoria' 'Long Island City' 'Woodside' 'East Elmhurst' 'Howard Beach']\n",
      "Records to be revised :  Created Date                      3\n",
      "Closed Date                       3\n",
      "Agency                            3\n",
      "Agency Name                       3\n",
      "Complaint Type                    3\n",
      "Descriptor                        3\n",
      "Location Type                     3\n",
      "Incident Zip                      3\n",
      "Incident Address                  0\n",
      "Street Name                       0\n",
      "Cross Street 1                    0\n",
      "Cross Street 2                    0\n",
      "Intersection Street 1             0\n",
      "Intersection Street 2             0\n",
      "Address Type                      0\n",
      "City                              0\n",
      "Landmark                          0\n",
      "Facility Type                     3\n",
      "Status                            3\n",
      "Due Date                          3\n",
      "Resolution Description            3\n",
      "Resolution Action Updated Date    3\n",
      "Community Board                   3\n",
      "Borough                           3\n",
      "X Coordinate (State Plane)        3\n",
      "Y Coordinate (State Plane)        3\n",
      "Park Facility Name                3\n",
      "Park Borough                      3\n",
      "School Name                       3\n",
      "School Number                     3\n",
      "School Region                     3\n",
      "School Code                       3\n",
      "School Phone Number               3\n",
      "School Address                    3\n",
      "School City                       3\n",
      "School State                      3\n",
      "School Zip                        3\n",
      "School Not Found                  3\n",
      "School or Citywide Complaint      0\n",
      "Vehicle Type                      0\n",
      "Taxi Company Borough              0\n",
      "Taxi Pick Up Location             0\n",
      "Bridge Highway Name               3\n",
      "Bridge Highway Direction          3\n",
      "Road Ramp                         3\n",
      "Bridge Highway Segment            3\n",
      "Garage Lot Name                   0\n",
      "Ferry Direction                   0\n",
      "Ferry Terminal Name               0\n",
      "Latitude                          3\n",
      "Longitude                         3\n",
      "Location                          3\n",
      "dtype: int64\n",
      "['NEW YORK' 'ASTORIA' 'BRONX' 'ELMHURST' 'BROOKLYN' 'KEW GARDENS'\n",
      " 'JACKSON HEIGHTS' 'MIDDLE VILLAGE' 'REGO PARK' 'SAINT ALBANS' 'JAMAICA'\n",
      " 'SOUTH RICHMOND HILL' 'RIDGEWOOD' 'HOWARD BEACH' 'FOREST HILLS'\n",
      " 'STATEN ISLAND' 'OZONE PARK' 'RICHMOND HILL' 'WOODHAVEN' 'FLUSHING'\n",
      " 'CORONA' 'QUEENS VILLAGE' 'OAKLAND GARDENS' 'HOLLIS' 'MASPETH'\n",
      " 'EAST ELMHURST' 'SOUTH OZONE PARK' 'WOODSIDE' 'FRESH MEADOWS'\n",
      " 'LONG ISLAND CITY' 'ROCKAWAY PARK' 'SPRINGFIELD GARDENS' 'COLLEGE POINT'\n",
      " 'BAYSIDE' 'GLEN OAKS' 'FAR ROCKAWAY' 'BELLEROSE' 'LITTLE NECK'\n",
      " 'CAMBRIA HEIGHTS' 'ROSEDALE' 'SUNNYSIDE' 'WHITESTONE' 'ARVERNE'\n",
      " 'FLORAL PARK' 'NEW HYDE PARK' 'CENTRAL PARK' 'BREEZY POINT' 'QUEENS'\n",
      " 'Astoria' 'Long Island City' 'Woodside' 'East Elmhurst' 'Howard Beach']\n",
      "--------------------------------------------------------------------------------------------------\n",
      "['ADDRESS' 'INTERSECTION' 'LATLONG' 'BLOCKFACE' nan 'PLACENAME']\n",
      "Records to be revised :  Created Date                      293\n",
      "Closed Date                       293\n",
      "Agency                            293\n",
      "Agency Name                       293\n",
      "Complaint Type                    293\n",
      "Descriptor                        293\n",
      "Location Type                     293\n",
      "Incident Zip                      293\n",
      "Incident Address                    0\n",
      "Street Name                         0\n",
      "Cross Street 1                      0\n",
      "Cross Street 2                      0\n",
      "Intersection Street 1               2\n",
      "Intersection Street 2               2\n",
      "Address Type                        0\n",
      "City                              293\n",
      "Landmark                            0\n",
      "Facility Type                     293\n",
      "Status                            293\n",
      "Due Date                          293\n",
      "Resolution Description            293\n",
      "Resolution Action Updated Date    293\n",
      "Community Board                   293\n",
      "Borough                           293\n",
      "X Coordinate (State Plane)        293\n",
      "Y Coordinate (State Plane)        293\n",
      "Park Facility Name                293\n",
      "Park Borough                      293\n",
      "School Name                       293\n",
      "School Number                     293\n",
      "School Region                     293\n",
      "School Code                       293\n",
      "School Phone Number               293\n",
      "School Address                    293\n",
      "School City                       293\n",
      "School State                      293\n",
      "School Zip                        293\n",
      "School Not Found                  293\n",
      "School or Citywide Complaint        0\n",
      "Vehicle Type                        0\n",
      "Taxi Company Borough                0\n",
      "Taxi Pick Up Location               0\n",
      "Bridge Highway Name               293\n",
      "Bridge Highway Direction          293\n",
      "Road Ramp                         258\n",
      "Bridge Highway Segment            258\n",
      "Garage Lot Name                     0\n",
      "Ferry Direction                     0\n",
      "Ferry Terminal Name                 0\n",
      "Latitude                          293\n",
      "Longitude                         293\n",
      "Location                          293\n",
      "dtype: int64\n",
      "['ADDRESS' 'INTERSECTION' 'LATLONG' 'BLOCKFACE' 'PLACENAME']\n",
      "--------------------------------------------------------------------------------------------------\n",
      "[40.86568154 40.77594531 40.87032452 ... 40.86006783 40.64643889\n",
      " 40.73884743]\n",
      "Records to be revised :  Created Date                      1073\n",
      "Closed Date                       1073\n",
      "Agency                            1073\n",
      "Agency Name                       1073\n",
      "Complaint Type                    1073\n",
      "Descriptor                        1073\n",
      "Location Type                     1073\n",
      "Incident Zip                      1073\n",
      "Incident Address                  1073\n",
      "Street Name                       1073\n",
      "Cross Street 1                    1073\n",
      "Cross Street 2                    1073\n",
      "Intersection Street 1                0\n",
      "Intersection Street 2                0\n",
      "Address Type                      1073\n",
      "City                              1073\n",
      "Landmark                             0\n",
      "Facility Type                     1073\n",
      "Status                            1073\n",
      "Due Date                          1073\n",
      "Resolution Description            1073\n",
      "Resolution Action Updated Date    1073\n",
      "Community Board                   1073\n",
      "Borough                           1073\n",
      "X Coordinate (State Plane)           0\n",
      "Y Coordinate (State Plane)           0\n",
      "Park Facility Name                1073\n",
      "Park Borough                      1073\n",
      "School Name                       1073\n",
      "School Number                     1073\n",
      "School Region                     1073\n",
      "School Code                       1073\n",
      "School Phone Number               1073\n",
      "School Address                    1073\n",
      "School City                       1073\n",
      "School State                      1073\n",
      "School Zip                        1073\n",
      "School Not Found                  1073\n",
      "School or Citywide Complaint         0\n",
      "Vehicle Type                         0\n",
      "Taxi Company Borough                 0\n",
      "Taxi Pick Up Location                0\n",
      "Bridge Highway Name                  0\n",
      "Bridge Highway Direction             0\n",
      "Road Ramp                            0\n",
      "Bridge Highway Segment               0\n",
      "Garage Lot Name                      0\n",
      "Ferry Direction                      0\n",
      "Ferry Terminal Name                  0\n",
      "Latitude                             0\n",
      "Longitude                            0\n",
      "Location                             0\n",
      "dtype: int64\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[40.86568154 40.77594531 40.87032452 ... 40.86006783 40.64643889\n",
      " 40.73884743]\n",
      "--------------------------------------------------------------------------------------------------\n",
      "[-73.92350096 -73.91509394 -73.88852464 ... -73.85211211 -73.9819714\n",
      " -73.86375174]\n",
      "Records to be revised :  Created Date                      0\n",
      "Closed Date                       0\n",
      "Agency                            0\n",
      "Agency Name                       0\n",
      "Complaint Type                    0\n",
      "Descriptor                        0\n",
      "Location Type                     0\n",
      "Incident Zip                      0\n",
      "Incident Address                  0\n",
      "Street Name                       0\n",
      "Cross Street 1                    0\n",
      "Cross Street 2                    0\n",
      "Intersection Street 1             0\n",
      "Intersection Street 2             0\n",
      "Address Type                      0\n",
      "City                              0\n",
      "Landmark                          0\n",
      "Facility Type                     0\n",
      "Status                            0\n",
      "Due Date                          0\n",
      "Resolution Description            0\n",
      "Resolution Action Updated Date    0\n",
      "Community Board                   0\n",
      "Borough                           0\n",
      "X Coordinate (State Plane)        0\n",
      "Y Coordinate (State Plane)        0\n",
      "Park Facility Name                0\n",
      "Park Borough                      0\n",
      "School Name                       0\n",
      "School Number                     0\n",
      "School Region                     0\n",
      "School Code                       0\n",
      "School Phone Number               0\n",
      "School Address                    0\n",
      "School City                       0\n",
      "School State                      0\n",
      "School Zip                        0\n",
      "School Not Found                  0\n",
      "School or Citywide Complaint      0\n",
      "Vehicle Type                      0\n",
      "Taxi Company Borough              0\n",
      "Taxi Pick Up Location             0\n",
      "Bridge Highway Name               0\n",
      "Bridge Highway Direction          0\n",
      "Road Ramp                         0\n",
      "Bridge Highway Segment            0\n",
      "Garage Lot Name                   0\n",
      "Ferry Direction                   0\n",
      "Ferry Terminal Name               0\n",
      "Latitude                          0\n",
      "Longitude                         0\n",
      "Location                          0\n",
      "dtype: int64\n",
      "[-73.92350096 -73.91509394 -73.88852464 ... -73.85211211 -73.9819714\n",
      " -73.86375174]\n",
      "--------------------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# Check Descriptor\n",
    "print(df[\"Descriptor\"].unique())\n",
    "df_review = df[df[\"Descriptor\"].isna()]\n",
    "print(\"Records to be revised : \", df_review.count())\n",
    "# After Reviewing the data, decided to change it to \"Other (complaint details)\"\n",
    "df[\"Descriptor\"] = df[\"Descriptor\"].fillna(\"Other (complaint details)\")\n",
    "print(df[\"Descriptor\"].unique())\n",
    "print(\"--------------------------------------------------------------------------------------------------\")\n",
    "\n",
    "# Check Location Type\n",
    "print(df[\"Location Type\"].unique())\n",
    "df_review = df[df[\"Location Type\"].isna()]\n",
    "print(\"Records to be revised : \", df_review.count())\n",
    "# After Reviewing the data, decided to change it to \"Others\"\n",
    "df[\"Location Type\"] = df[\"Location Type\"].fillna(\"Others\")\n",
    "print(df[\"Location Type\"].unique())\n",
    "print(\"--------------------------------------------------------------------------------------------------\")\n",
    "\n",
    "# Check Zip Codes\n",
    "print(df[\"Incident Zip\"].unique())\n",
    "df_review = df[df[\"Incident Zip\"].isna()]\n",
    "print(\"Records to be revised : \", df_review.count())\n",
    "# After Reviewing the data, decided to drop the values with zip codes = NaN\n",
    "df = df[~df[\"Incident Zip\"].isna()]\n",
    "print(df[\"Incident Zip\"].unique())\n",
    "print(\"--------------------------------------------------------------------------------------------------\")\n",
    "\n",
    "# Check City\n",
    "print(df[\"City\"].unique())\n",
    "df_review = df[df[\"City\"].isna()]\n",
    "print(\"Records to be revised : \", df_review.count())\n",
    "# After Reviewing the data, decided to change it to \"NEW YORK\" based on Latitude and Longitude \n",
    "df[\"City\"] = df[\"City\"].fillna(\"NEW YORK\")\n",
    "print(df[\"City\"].unique())\n",
    "print(\"--------------------------------------------------------------------------------------------------\")\n",
    "\n",
    "# Address Type\n",
    "print(df[\"Address Type\"].unique())\n",
    "df_review = df[df[\"Address Type\"].isna()]\n",
    "print(\"Records to be revised : \", df_review.count())\n",
    "# After Reviewing the data, decided to change it to LATLONG as it has valid data in those fields \n",
    "df[\"Address Type\"] = df[\"Address Type\"].fillna(\"LATLONG\")\n",
    "print(df[\"Address Type\"].unique())\n",
    "print(\"--------------------------------------------------------------------------------------------------\")\n",
    "\n",
    "# Regarding Latitude and Longitude missing values, decided to drop all of them as cannot verified specifics locations\n",
    "print(df[\"Latitude\"].unique())\n",
    "df_review = df[df[\"Latitude\"].isna()]\n",
    "print(\"Records to be revised : \", df_review.count())\n",
    "# After Reviewing the data, decided to change it to LATLONG as it has valid data in those fields \n",
    "df = df[~df[\"Latitude\"].isna()]\n",
    "print(df[\"Latitude\"].unique())\n",
    "print(\"--------------------------------------------------------------------------------------------------\")\n",
    "\n",
    "# Regarding Latitude and Longitude missing values, decided to drop all of them as cannot verified specifics locations\n",
    "print(df[\"Longitude\"].unique())\n",
    "df_review = df[df[\"Longitude\"].isna()]\n",
    "print(\"Records to be revised : \", df_review.count())\n",
    "# After Reviewing the data, decided to change it to LATLONG as it has valid data in those fields \n",
    "df = df[~df[\"Longitude\"].isna()]\n",
    "print(df[\"Longitude\"].unique())\n",
    "print(\"--------------------------------------------------------------------------------------------------\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 360429 entries, 32310363 to 29611816\n",
      "Data columns (total 52 columns):\n",
      "Created Date                      360429 non-null datetime64[ns]\n",
      "Closed Date                       360429 non-null datetime64[ns]\n",
      "Agency                            360429 non-null object\n",
      "Agency Name                       360429 non-null object\n",
      "Complaint Type                    360429 non-null object\n",
      "Descriptor                        360429 non-null object\n",
      "Location Type                     360429 non-null object\n",
      "Incident Zip                      360429 non-null float64\n",
      "Incident Address                  308777 non-null object\n",
      "Street Name                       308777 non-null object\n",
      "Cross Street 1                    305648 non-null object\n",
      "Cross Street 2                    305639 non-null object\n",
      "Intersection Street 1             50504 non-null object\n",
      "Intersection Street 2             50504 non-null object\n",
      "Address Type                      360429 non-null object\n",
      "City                              360429 non-null object\n",
      "Landmark                          375 non-null object\n",
      "Facility Type                     360420 non-null object\n",
      "Status                            360429 non-null object\n",
      "Due Date                          360428 non-null object\n",
      "Resolution Description            360429 non-null object\n",
      "Resolution Action Updated Date    360390 non-null object\n",
      "Community Board                   360429 non-null object\n",
      "Borough                           360429 non-null object\n",
      "X Coordinate (State Plane)        360429 non-null float64\n",
      "Y Coordinate (State Plane)        360429 non-null float64\n",
      "Park Facility Name                360429 non-null object\n",
      "Park Borough                      360429 non-null object\n",
      "School Name                       360429 non-null object\n",
      "School Number                     360429 non-null object\n",
      "School Region                     360429 non-null object\n",
      "School Code                       360429 non-null object\n",
      "School Phone Number               360429 non-null object\n",
      "School Address                    360429 non-null object\n",
      "School City                       360429 non-null object\n",
      "School State                      360429 non-null object\n",
      "School Zip                        360429 non-null object\n",
      "School Not Found                  360429 non-null object\n",
      "School or Citywide Complaint      0 non-null float64\n",
      "Vehicle Type                      0 non-null float64\n",
      "Taxi Company Borough              0 non-null float64\n",
      "Taxi Pick Up Location             0 non-null float64\n",
      "Bridge Highway Name               295 non-null object\n",
      "Bridge Highway Direction          295 non-null object\n",
      "Road Ramp                         260 non-null object\n",
      "Bridge Highway Segment            260 non-null object\n",
      "Garage Lot Name                   0 non-null float64\n",
      "Ferry Direction                   0 non-null object\n",
      "Ferry Terminal Name               0 non-null object\n",
      "Latitude                          360429 non-null float64\n",
      "Longitude                         360429 non-null float64\n",
      "Location                          360429 non-null object\n",
      "dtypes: datetime64[ns](2), float64(10), object(40)\n",
      "memory usage: 145.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Empty DataFrame\n",
      "Columns: [Created Date, Closed Date, Agency, Agency Name, Complaint Type, Descriptor, Location Type, Incident Zip, Incident Address, Street Name, Cross Street 1, Cross Street 2, Intersection Street 1, Intersection Street 2, Address Type, City, Landmark, Facility Type, Status, Due Date, Resolution Description, Resolution Action Updated Date, Community Board, Borough, X Coordinate (State Plane), Y Coordinate (State Plane), Park Facility Name, Park Borough, School Name, School Number, School Region, School Code, School Phone Number, School Address, School City, School State, School Zip, School Not Found, School or Citywide Complaint, Vehicle Type, Taxi Company Borough, Taxi Pick Up Location, Bridge Highway Name, Bridge Highway Direction, Road Ramp, Bridge Highway Segment, Garage Lot Name, Ferry Direction, Ferry Terminal Name, Latitude, Longitude, Location]\n",
      "Index: []\n"
     ]
    }
   ],
   "source": [
    "with pd.option_context('display.max_rows', 20, 'display.max_columns', None):  # more options can be specified also\n",
    "    print(df_review)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Created Date', 'Closed Date', 'Agency', 'Agency Name',\n",
       "       'Complaint Type', 'Descriptor', 'Location Type', 'Incident Zip',\n",
       "       'Incident Address', 'Street Name', 'Cross Street 1', 'Cross Street 2',\n",
       "       'Intersection Street 1', 'Intersection Street 2', 'Address Type',\n",
       "       'City', 'Landmark', 'Facility Type', 'Status', 'Due Date',\n",
       "       'Resolution Description', 'Resolution Action Updated Date',\n",
       "       'Community Board', 'Borough', 'X Coordinate (State Plane)',\n",
       "       'Y Coordinate (State Plane)', 'Park Facility Name', 'Park Borough',\n",
       "       'School Name', 'School Number', 'School Region', 'School Code',\n",
       "       'School Phone Number', 'School Address', 'School City', 'School State',\n",
       "       'School Zip', 'School Not Found', 'School or Citywide Complaint',\n",
       "       'Vehicle Type', 'Taxi Company Borough', 'Taxi Pick Up Location',\n",
       "       'Bridge Highway Name', 'Bridge Highway Direction', 'Road Ramp',\n",
       "       'Bridge Highway Segment', 'Garage Lot Name', 'Ferry Direction',\n",
       "       'Ferry Terminal Name', 'Latitude', 'Longitude', 'Location'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Create a column to track the time it takes to close a complaint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['processing_time'] =  df['Closed Date'] - df['Created Date']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Adding a week and month to track compliants weekly and monthly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['yyyymm'] = df['Closed Date'].apply(lambda x:datetime.datetime.strftime(x,'%Y%m'))\n",
    "df['yyyywk'] = df['Closed Date'].apply(lambda x:datetime.datetime.strftime(x,'%Y%w'))\n",
    "df['day'] = df['Closed Date'].apply(lambda x:datetime.datetime.strftime(x,'%A'))\n",
    "df['duration_hr'] =df['processing_time'].apply(lambda x:x/np.timedelta64(60,'m'))\n",
    "df['duration_min'] =df['processing_time'].apply(lambda x:x/np.timedelta64(1,'m'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['duration_min'] =df['processing_time'].apply(lambda x:x/np.timedelta64(1,'m'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Created Date                                                    2015-12-31 23:59:45\n",
       "Closed Date                                                     2016-01-01 00:55:15\n",
       "Agency                                                                         NYPD\n",
       "Agency Name                                         New York City Police Department\n",
       "Complaint Type                                              Noise - Street/Sidewalk\n",
       "Descriptor                                                         Loud Music/Party\n",
       "Location Type                                                       Street/Sidewalk\n",
       "Incident Zip                                                                  10034\n",
       "Incident Address                                                71 VERMILYEA AVENUE\n",
       "Street Name                                                        VERMILYEA AVENUE\n",
       "Cross Street 1                                                       ACADEMY STREET\n",
       "Cross Street 2                                                      WEST 204 STREET\n",
       "Intersection Street 1                                                           NaN\n",
       "Intersection Street 2                                                           NaN\n",
       "Address Type                                                                ADDRESS\n",
       "City                                                                       NEW YORK\n",
       "Landmark                                                                        NaN\n",
       "Facility Type                                                              Precinct\n",
       "Status                                                                       Closed\n",
       "Due Date                                                     01/01/2016 07:59:45 AM\n",
       "Resolution Description            The Police Department responded and upon arriv...\n",
       "Resolution Action Updated Date                               01/01/2016 12:55:15 AM\n",
       "Community Board                                                        12 MANHATTAN\n",
       "Borough                                                                   MANHATTAN\n",
       "X Coordinate (State Plane)                                              1.00541e+06\n",
       "Y Coordinate (State Plane)                                                   254678\n",
       "Park Facility Name                                                      Unspecified\n",
       "Park Borough                                                              MANHATTAN\n",
       "School Name                                                             Unspecified\n",
       "School Number                                                           Unspecified\n",
       "School Region                                                           Unspecified\n",
       "School Code                                                             Unspecified\n",
       "School Phone Number                                                     Unspecified\n",
       "School Address                                                          Unspecified\n",
       "School City                                                             Unspecified\n",
       "School State                                                            Unspecified\n",
       "School Zip                                                              Unspecified\n",
       "School Not Found                                                                  N\n",
       "School or Citywide Complaint                                                    NaN\n",
       "Vehicle Type                                                                    NaN\n",
       "Taxi Company Borough                                                            NaN\n",
       "Taxi Pick Up Location                                                           NaN\n",
       "Bridge Highway Name                                                             NaN\n",
       "Bridge Highway Direction                                                        NaN\n",
       "Road Ramp                                                                       NaN\n",
       "Bridge Highway Segment                                                          NaN\n",
       "Garage Lot Name                                                                 NaN\n",
       "Ferry Direction                                                                 NaN\n",
       "Ferry Terminal Name                                                             NaN\n",
       "Latitude                                                                    40.8657\n",
       "Longitude                                                                  -73.9235\n",
       "Location                                    (40.86568153633767, -73.92350095571744)\n",
       "processing_time                                                     0 days 00:55:30\n",
       "yyyymm                                                                       201601\n",
       "yyyywk                                                                        20165\n",
       "day                                                                          Friday\n",
       "duration_hr                                                                   0.925\n",
       "duration_min                                                                   55.5\n",
       "Name: 32310363, dtype: object"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                    360429\n",
       "mean     0 days 04:11:21.351869\n",
       "std      0 days 05:49:34.219229\n",
       "min             0 days 00:01:01\n",
       "25%             0 days 01:15:30\n",
       "50%             0 days 02:40:05\n",
       "75%             0 days 05:14:02\n",
       "max            24 days 16:52:22\n",
       "Name: processing_time, dtype: object"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#And look at summary statistics and find out if there are any odd numbers (i.e. processing time less than 0)\n",
    "df['processing_time'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 360429 entries, 32310363 to 29611816\n",
      "Data columns (total 58 columns):\n",
      "Created Date                      360429 non-null datetime64[ns]\n",
      "Closed Date                       360429 non-null datetime64[ns]\n",
      "Agency                            360429 non-null object\n",
      "Agency Name                       360429 non-null object\n",
      "Complaint Type                    360429 non-null object\n",
      "Descriptor                        360429 non-null object\n",
      "Location Type                     360429 non-null object\n",
      "Incident Zip                      360429 non-null float64\n",
      "Incident Address                  308777 non-null object\n",
      "Street Name                       308777 non-null object\n",
      "Cross Street 1                    305648 non-null object\n",
      "Cross Street 2                    305639 non-null object\n",
      "Intersection Street 1             50504 non-null object\n",
      "Intersection Street 2             50504 non-null object\n",
      "Address Type                      360429 non-null object\n",
      "City                              360429 non-null object\n",
      "Landmark                          375 non-null object\n",
      "Facility Type                     360420 non-null object\n",
      "Status                            360429 non-null object\n",
      "Due Date                          360428 non-null object\n",
      "Resolution Description            360429 non-null object\n",
      "Resolution Action Updated Date    360390 non-null object\n",
      "Community Board                   360429 non-null object\n",
      "Borough                           360429 non-null object\n",
      "X Coordinate (State Plane)        360429 non-null float64\n",
      "Y Coordinate (State Plane)        360429 non-null float64\n",
      "Park Facility Name                360429 non-null object\n",
      "Park Borough                      360429 non-null object\n",
      "School Name                       360429 non-null object\n",
      "School Number                     360429 non-null object\n",
      "School Region                     360429 non-null object\n",
      "School Code                       360429 non-null object\n",
      "School Phone Number               360429 non-null object\n",
      "School Address                    360429 non-null object\n",
      "School City                       360429 non-null object\n",
      "School State                      360429 non-null object\n",
      "School Zip                        360429 non-null object\n",
      "School Not Found                  360429 non-null object\n",
      "School or Citywide Complaint      0 non-null float64\n",
      "Vehicle Type                      0 non-null float64\n",
      "Taxi Company Borough              0 non-null float64\n",
      "Taxi Pick Up Location             0 non-null float64\n",
      "Bridge Highway Name               295 non-null object\n",
      "Bridge Highway Direction          295 non-null object\n",
      "Road Ramp                         260 non-null object\n",
      "Bridge Highway Segment            260 non-null object\n",
      "Garage Lot Name                   0 non-null float64\n",
      "Ferry Direction                   0 non-null object\n",
      "Ferry Terminal Name               0 non-null object\n",
      "Latitude                          360429 non-null float64\n",
      "Longitude                         360429 non-null float64\n",
      "Location                          360429 non-null object\n",
      "processing_time                   360429 non-null timedelta64[ns]\n",
      "yyyymm                            360429 non-null object\n",
      "yyyywk                            360429 non-null object\n",
      "day                               360429 non-null object\n",
      "duration_hr                       360429 non-null float64\n",
      "duration_min                      360429 non-null float64\n",
      "dtypes: datetime64[ns](2), float64(12), object(43), timedelta64[ns](1)\n",
      "memory usage: 162.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Created Date                                                    2015-12-31 23:59:45\n",
       "Closed Date                                                     2016-01-01 00:55:15\n",
       "Agency                                                                         NYPD\n",
       "Agency Name                                         New York City Police Department\n",
       "Complaint Type                                              Noise - Street/Sidewalk\n",
       "Descriptor                                                         Loud Music/Party\n",
       "Location Type                                                       Street/Sidewalk\n",
       "Incident Zip                                                                  10034\n",
       "Incident Address                                                71 VERMILYEA AVENUE\n",
       "Street Name                                                        VERMILYEA AVENUE\n",
       "Cross Street 1                                                       ACADEMY STREET\n",
       "Cross Street 2                                                      WEST 204 STREET\n",
       "Intersection Street 1                                                           NaN\n",
       "Intersection Street 2                                                           NaN\n",
       "Address Type                                                                ADDRESS\n",
       "City                                                                       NEW YORK\n",
       "Landmark                                                                        NaN\n",
       "Facility Type                                                              Precinct\n",
       "Status                                                                       Closed\n",
       "Due Date                                                     01/01/2016 07:59:45 AM\n",
       "Resolution Description            The Police Department responded and upon arriv...\n",
       "Resolution Action Updated Date                               01/01/2016 12:55:15 AM\n",
       "Community Board                                                        12 MANHATTAN\n",
       "Borough                                                                   MANHATTAN\n",
       "X Coordinate (State Plane)                                              1.00541e+06\n",
       "Y Coordinate (State Plane)                                                   254678\n",
       "Park Facility Name                                                      Unspecified\n",
       "Park Borough                                                              MANHATTAN\n",
       "School Name                                                             Unspecified\n",
       "School Number                                                           Unspecified\n",
       "School Region                                                           Unspecified\n",
       "School Code                                                             Unspecified\n",
       "School Phone Number                                                     Unspecified\n",
       "School Address                                                          Unspecified\n",
       "School City                                                             Unspecified\n",
       "School State                                                            Unspecified\n",
       "School Zip                                                              Unspecified\n",
       "School Not Found                                                                  N\n",
       "School or Citywide Complaint                                                    NaN\n",
       "Vehicle Type                                                                    NaN\n",
       "Taxi Company Borough                                                            NaN\n",
       "Taxi Pick Up Location                                                           NaN\n",
       "Bridge Highway Name                                                             NaN\n",
       "Bridge Highway Direction                                                        NaN\n",
       "Road Ramp                                                                       NaN\n",
       "Bridge Highway Segment                                                          NaN\n",
       "Garage Lot Name                                                                 NaN\n",
       "Ferry Direction                                                                 NaN\n",
       "Ferry Terminal Name                                                             NaN\n",
       "Latitude                                                                    40.8657\n",
       "Longitude                                                                  -73.9235\n",
       "Location                                    (40.86568153633767, -73.92350095571744)\n",
       "processing_time                                                     0 days 00:55:30\n",
       "yyyymm                                                                       201601\n",
       "yyyywk                                                                        20165\n",
       "day                                                                          Friday\n",
       "duration_hr                                                                   0.925\n",
       "duration_min                                                                   55.5\n",
       "Name: 32310363, dtype: object"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Group data and plot a bar chart of the incident count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# By Borough\n",
    "plt.figure(figsize=(16,12))\n",
    "plt.title(\"Incidents by Borough\")\n",
    "plot = sns.countplot(x = \"Borough\",data=df,order=df['Borough'].value_counts(ascending=True).index)\n",
    "plot.set_xticklabels(plot.get_xticklabels(), rotation=90)\n",
    "plt.grid(True, which=\"both\", axis=\"y\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pie chart, where the slices will be ordered and plotted counter-clockwise:\n",
    "borough_type = df.groupby('Borough').size().sort_values(ascending=False)\n",
    "explode = (0.1, 0, 0, 0, 0)  # only \"explode\" the 1st slice as it is the larger one\n",
    "fig1, ax1 = plt.subplots(figsize=(16, 12))\n",
    "ax1.pie(borough_type.values[:5], explode=explode, labels=borough_type.index[0:5], autopct='%1.1f%%',\n",
    "        shadow=True, startangle=90)\n",
    "ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "ax1.set_title(\"Pie Chart - Incidents by Boroughs\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Borough\n",
      "BROOKLYN         118634\n",
      "QUEENS           100678\n",
      "MANHATTAN         76748\n",
      "BRONX             49045\n",
      "STATEN ISLAND     15323\n",
      "Unspecified           1\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Printing the Table of Borough\n",
    "print(df.groupby([\"Borough\"]).size().sort_values(ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# By City\n",
    "plt.figure(figsize=(16,12))\n",
    "plt.title(\"Incidents by City\")\n",
    "plot = sns.countplot(x = \"City\",data=df,order=df['City'].value_counts(ascending=True).index)\n",
    "plot.set_xticklabels(plot.get_xticklabels(), rotation=90)\n",
    "plt.grid(True, which=\"both\", axis=\"y\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Cu4BFZAdx2ZF5wL09lv2MbHfUXRWLD5tZOvf9s865t3Rf6Zx73syeJjtq6c6MBr61fboN4Ang1m7rnzWzTLd1k8mO3Lr9PC+ZWbuZNfU4/6tmdi/Q/X7KilyLZ5Ts6/M9+tflVkTyjOlDHhERSTS3RMkWgwHZFoftBeJkn7n2UvOSz531ed8hRERECpVaFkVESkyiuWUEcARwCK8XhQ1kWwFkL8y/+qH3AFPI3p+V6fZI5x6bgXZgQ+7R6/trbj9py9AnFxER6U3FoohIEUs0t4TJFoNHAkflHvVeQxW3NwGz9uYA869+aCuvF5DdC8p1wGpgVbevq4DV19x+0rq9OaeIiEhfVCyKiBSRRHPLKN5YGM4ke3+VFI4Y2SlERvR3h/lXP7QFWAks38FjyTW3n5Qa+KgiIlLMVCyKiBSwRHPLZOAU4ASyxeG+XgOJL2W8PvhQn+Zf/dBqYCHQmvu6EGi95vaTlg9JQhERKTgqFkVECkiiuaWO7ITas3MPdSmV/hqbe5zQfeH8qx/qAP5FtwIy9/WFa24/aesQZxQRkTyiYlFEJI8lmltiwNG8XhzOQPMXehckZg0n213U5R4ZwL3j1Bsj4VDB/XiqyP67mtFjedf8qx96CXgeeAr4G/C3a24/6dUhziciIp6oWBQRyTOJ5pZG4Eyy3UuPBeJ+E0l3QWJWFdmJ0HuNHtveuW7KsKpRQx9qcETItlzXA+dtXzj/6oeWkiscY1tSfz3mLx9/qnFha7unjCIiMohULIqIeJZobjGyg9KcB5xLdr5DyV8Rsq2Kve71C4fCpdBtc0rucaG5rieAma0NjQvJTuC+/fF848LWzE6OISIiBUDFooiIB7nupSeRLRDPAcb5TSSy++raFnUCIeCA3OOq3Kr21obGvwAPAw8BT6l4FBEpPCoWRUSGSKK5pZps99Lzcl9r/CYS2Tuj1i6o3cGqGuC03AOgrbWh8Y9kC8ffNy5sfX4o8omIyN5RsSgiMohyBeKFwFyyLYkxv4lEBohzbti6hTucqqOHOrJdrM8FaG1o/A/ZVsffAw81Lmx9cXBCiojI3lCxKCIywBLNLRGyLSpvJtvFtMJvIpGBZ65rSTS9aeoe7j4GuDT3oLWhcQnZVsdfA79pXNjaMSAhRURkr6hYFBEZIInmlsPJFohzgdGe44gMqnjnmpeBPS0We0qQvd/xKmBLa0PjQ8AvgF82Lmx9eYDOISIiu0nFoojIXkg0tySAy3MPjWIqJcNefnzyIB26DDgj97ittaHxb2QLx/sbF7YuGKRziohIH1QsiojspkRzSw3Z7nNvBo4GzG8ikaE3NrVoKOb/NODw3OMzrQ2NLwL35x5/alzY2jUEGURESpaKRRGRfko0t0wH3g28Caj0HEfEm0wmnR63cUWdh1PvA1ybe6xrbWj8FfBD4MHGha1pD3lERIqaikURkZ1INLeUkb0H8d3AkZ7jiOSFdOcr66JkRnmOMRx4S+7xn9aGxruBHzQubH3SbywRkeKhYlFEpA+J5pZ9gauBtwIjPMcRySux9iWdvjP0MAb4APCB1obGfwM/IFs4LvYbS0SksKlYFBHJSTS3hIGzgfcAp6B7EUX6NKzthXz+v7EfcCNwY2tD4+NkC8cfNy5sfcVvLBGRwqNiUURKXqK5ZTjZbqbvAiZ5jiOS98anFtf4ztBPR+YeN7U2NP4W+D5wb+PC1s1+Y4mIFAYViyJSshLNLVOAD5Gd200D1oj0Q7pry+aRm9fUYfncuNhLBDgz91jf2tB4F/CNxoWtrX5jiYjkNxWLIlJyEs0thwAfAS5BvwdFdovrWLU+ZDbOd469MIzX7298FPgmcI9aG0VEetObJBEpGYnmlpPIFomn+c4iUqgqUi9u8Z1hAB2Te9zc2tD4XeC2xoWti/xGEhHJHyoWRaSoJZpbQsCFZIvEmZ7jiBS8kakXor4zDILhwHXAB1sbGv8PmA880LiwNeM3loiIXyoWRaQo5eZHfCtwPbCv5zgiRWNC+4vDfGcYRAacnnssaW1ovB34ZuPC1vV+Y4mI+KFiUUSKSqK5JQq8DfgEMNFzHJGi0rVlw4aaro5q3zmGSAL4HPDJ1obGO4CvNC5sXeY3kojI0FKxKCJFITdH4uXAp4CpnuOIFCXbsCIFlEqxuF0V2QFxrmltaLwb+ELjwtYFnjOJiAwJFYsiUtASzS1GdlTTG4AGv2lEilt1alGX7wweRch+IHV5a0Pjb8gWjQ97ziQiMqhULIpIwUo0t5wL/D/gYN9ZRErBmNSiCt8Z8sTpwOmtDY1PAF8Efq7BcESkGKlYFJGCk2huORX4DHC47ywipcK5jBu/Yelw3znyzBHAPcCi1obGLwFJzdcoIsVExaKIFIxEc8ss4H+B43xnESk1XZvWrS9z21Qs9m0acDtwY2tD4xeAr6toFJFioGJRRPJeorllCvAFsvcmiogH0fZlHWTnI5QdGwN8GbiutaHxM8AdjQtbt3nOJCKyx1QsikjeSjS3VAIfAz4ElHuOI1LSatte8B2hkEwAbgM+0trQeCPw/caFrWnPmUREdpuKRRHJO7kRTt8CfBYY7zmOiADj2hdX+s5QgKYC3wWaWxsaPwXc07iw1fmNJCLSfyHfAUREusvdl/hXsm+wVCiK5IFMumvbmI0r1QV1zzUAPwb+3trQOMd3GBGR/lLLoojkhURzy2Tg88ClvrOIyBulN65eFzbG+M5RBA4B7m9taHwc+K/Gha0P+g4kIrIzKhZFxKvcfYkfBa4HNIebSB4qSy3Z5DtDkTkS+F1rQ+NDwHWNC1v/4TuQiEhf1A1VRLxJNLecDfwT+C9UKIrkrRGpF/Th8uA4CXi6taHxG60NjaN8hxER6Um//EVkyCWaW8YCtwAX+84iIrs2oX1xre8MRSwEvBOY29rQ+P+Ar2m6DRHJF2pZFJEhk2husURzy7uAVlQoihSErm2bOodvXV/tO0cJqCU7R+NzrQ2NZ/kOIyICKhZFZIgkmlsOAP4E3A7UeY4jIv3VsbLNd4QSsx/wq9aGxt+0NjQ2+g4jIqVN3VBFZFAlmlvKgE8CHwFinuOIyG6qbFu81XeGEnUa8GxrQ+NtwKcaF7au9x1IREqPWhZFZNAkmltOAJ4lWyyqUBQpQKNSi/R/158I8D7ghdaGxmtaGxrDvgOJSGlRsSgiAy7R3FKXaG65E3iYbJcqESlQEza8ONx3BmEEcCvw19aGxsN8hxGR0qFiUUQGVKK5ZTbwHPBW31lEZO9s25xKVaY3l/vOIa+ZATzR2tD4ldaGxkrfYUSk+KlYFJEBkWhuqUg0t9zinPstMMF3HhHZe+ENy9p9Z5BewsAHgX+2NjTO8R1GRIqbikUR2WuJ5pYZwFPA+8zMfOcRkYFR07Y44zuD7NBk4P63f+zArwXJYKzvMCJSnFQsisgeSzS3hBPNLZ90zv0F0BDvIkVmTOqFuO8MsmPLRvHnvzaE3gv8M0gGV/nOIyLFR8WiiOyRRHPLNOBR4NNmFvWdR0QGlsukM+M7lmtwmzyVgbX/b164Ifd0GHBHkAx+FySDqT5ziUhxUbEoIrst0dxytXPuGeBI31lEZHB0bXp1XZS0pmrIUz86IbSwvdJG9Fg8G3guSAbv8ZFJRIpPxHcAESkcieaWscAdwJm6NVGkuMVSSzYCI33nkN7WV/LUL44KHb2D1XFgfpAMzgWuWnDFgpVDGE1EioxaFkWkXxLNLbOdc/8AzvSdRUQGX13bIn0ilIccdH7q8vDofmx6KrAgSAaXDXYmESlealkUkZ1KNLeEgP9yzv23mekDJpESMb59cbXvDNLbrw/h2dXDrb+3AAwDfpBrZXz3gisWrBvEaCJShPTGT0R2KNHcMso59xvgBhWKIqUjnd66ZdSm1cN855A3Wh5Lr0+eGmrag10vIXsv4xkDnUlEipve/IlInxLNLUc7554xs1N8ZxGRoZXpWLU+pPuS80oal7nlvHDaRUJ7+oMZBzwQJIPbg2RQOZDZRKR4qVgUkV6mfPRX1zvn/mBm431nEZGhV5F6cbPvDPJGD05OL1u6b2QgBhx6F/D3IBkcOgDHEpEip2JRRF6TaG6pm/KRX/7SzL5oZrqnWaREjUwt0typeWR9KJO668LYxAE8ZD3wlyAZXDOAxxSRIqRiUUQASDS3zHSZzD8sFDrbdxYR8WtCanGd7wzyuvmnWue28tBAf4BXBtwaJIOfBsmgdoCPLSJFQsWiiDDlo796t3PuzxYKTfadRUT86tq6saO2a4PuacsTT4zsWvbsodFxg3iKC8l2Sz1iEM8hIgVKxaJICUs0t8SmfOSXd5jZ180s5juPiPhnG5a3+c4gWZ2W6bxtbnTUEJxqKvBokAyuG4JziUgBUbEoUqISzS2jXLrrEQuFrvKdRUTyR1Xb4i7fGSTrO0eydmNNuGKIThcFvhwkg/uDZDB8iM4pInlOxaJICUo0txzi0l3/sHBkT+brEpEiNrp9UbnvDAL/qky//McTYpM8nHoO8Iy6pYoIqFgUKTlTPvyLi10m87iFI4N5D4yIFCDnMm78hiVqVfJsG27bzXPDVR4jTAIeCZKBep6IlDgViyIlZPJ1P/0fQuEfWyiklgMR6aVrc1tbRWar7l/27J6DMivXjonUeI5RBtwRJIP5QTLQVCoiJUrFokgJSDS3lE3+4D33hWIVHzcz851HRPJTJLV0g+8MpW5lLP3KfWdFp/jO0c17gN8HyWCM7yAiMvRULIoUuSnX3zsqs3XTk6Gy+Lm+s4hIfqtNLfIdoaSlcZmvnB8OEQrl24d6xwJ/C5LB4b6DiMjQUrEoUsQmX/vjg51zz4ViFYHvLCKS/8a2L4r7zlDKfjslvWz5PpERvnPswETgT0EyeKvvICIydFQsihSpidckT7Vo+eOhaNlo31lEJP9lMl1dYzeu1OA2nqwLZ1LfuzA20XeOXSgD7gySwa26j1GkNKhYFClCE66+48pw5bAWC0eGan4uESlw6Y1r1kVwel/gyfzTrLOrLBTxnaOfrgEeCJKB70F4RGSQ6Y+CSJGZ8M5vfjJSO/pOC4UL5U2HiOSBstSSTb4zlKrHR6aXLTgkWmjTGc0G/hwkAx9zQYrIEFGxKFIk4vVNNuGd3/hWdPiET5vl3eAIIpLnhqde0HsCDzZapvP2uZFRvnPsoYOAx4NkMN13EBEZHPrDIFIEag4/LzLsxLc9EB0+8e2+s4hIYRrfvlhdCj24cxZrO2vChXzLwHjgkSAZnO47iIgMPBWLIgVu2Mlvr66eMeev0eET9IdaRPZIumvzppFb1tb6zlFqWqvSK/90XKwYunFWA78MksE7fAcRkYGlYlGkgI08+7pxlQ3HPh2tG3uY7ywiUrjchpXrfWcoNVtxW796aaSYWnMjwDeDZPDZIBnoVgiRIqFiUaRAjTr/4/tXTJ3xVKR65DTfWUSksMVTL27znaHU/CTIrFo3KlztO8cg+Bjw/SAZxHwHEZG9p2JRpACNOv/jh5dPOeQv4cq6Qhs9T0Ty0KjUIs2ZN4RWxNJr7j8zOtl3jkF0GfDbIBkM8x1ERPaOikWRAjNyzvXHVkyZ/mC4vEp/hEVkQExof7HOd4ZSkcZlbrogHCFU9KNWHw88FiSDhO8gIrLnVCyKFJARZ7zvtPi+R7SEyiuL6T4XEfGoa0t7e1W6M+47R6n4v0Rm2fKpkeG+cwyRBrJTa8z0HURE9oyKRZECMfyUd11Quf+xPw2VVxbjPS4i4om1L0/5zlAq1oUzbd+/IDrRd44hNgb4Y5AMZvsOIiK7T8WiSJ6L1zfZsBOvurLqoJPvCpVXVvnOIyLFpSa1OOM7QylwOL52um3uKgtFfGfxIA7cHySDU3wHEZHdo2JRJI/F65tCsXH7X1M9/fRbQ2WVlb7ziEjxGZN6odx3hlLw+Kj0sucPjo71ncOjCrIF46m+g4hI/6lYFMlT8fqmcGxs/YdqZsz5nApFERkMzmUy4zuWjfCdo9httEzn7XOjo33nyAPlwC+CZHCa7yAi0j8qFkXyULy+KRwbt9+Hamaee0OoLK5CUUQGRVfn2vUx11WK3SKH1LePZt2m6rBacLO2F4yn+w4iIrumYlEkz+QKxetrZp7zqVBZXCMUijKo/SQAACAASURBVMigibYv6fCdodj9szq98s/HxkptUJtdKQPuC5LBGb6DiMjOqVgUySPZrqfTrq+Zee5/h2IqFEVkcNW1LSr2uf682orb+tW5EU111Lcy4N4gGZzpO4iI7JiKRZE8Ea9vikSGT7i2ZsY5nwzFKlQoisigG9e+WCMsD6IfH5xZtX5UWNMd7dj2gvEs30FEpG8qFkXyQLy+KRKuGnFN7REXfiJUXqU3byIy6DLpbVvHdK4a5jtHsVpell7zyzOik33nKAAx4OdBMjjbdxAR6U3Foohn8fqmSKis8urao+Z+IlxZpzduIjIk0h2r1oUMdUMdBGlc5uYLwmFCIb2+/RMDfhYkgzm+g4jIG6lYFPEoXt8UsXD0HbVHX/axSM3IUb7ziEjpqGh/abPvDMXq11Mzy5YnIpqSZPfEgJ8GyeAc30FE5HUqFkU8idc3RbHQO2uPnvfh6LBx433nEZHSMrxtkabMGARrw5n1P7ggOsl3jgK1vWA813cQEclSsSjiQby+KQxcWXvkxe+PjUpM9Z1HRErPhPYXa31nKDYOxy1n2JZ0LBT2naWARYF7gmRwnu8gIqJiUWTIxeubDJhbPeOc95aN339/33lEpPR0bd24cdi2No3SOcAeG51e2hpEx/rOUQSiwE+CZHCB7yAipU7FosgQyhWKc6qCUz5YkZh+sO88IlKiNqxs8x2h2HRYZuM350bH+M5RRKLAj1UwivilYlFkaJ0Y3//oj1TUHznTdxARKV1VqRe7fGcoNt86lvWbqsLlvnMUmQhwd5AMZvsOIlKqVCyKDJF4fVNT2aSDPlp5wIlHmWk0dRHxZ3TqhTLfGYrJ89XplX85OjbRd44iFSU7rUbgO4hIKVKxKDIE4vVNQWT4hI/WHDbnOAuF9P9ORLxxzjFhwxLN6TpAtuC23HJpRIMFDa4a4IEgGWjkcJEhpjetIoMsXt9UH6qo/kjdUZeeYJGouiiJiFddm9vaKjKb1bI4QO6enlm9fmS4yneOEjARaAmSgQZmEhlCKhZFBlG8vmkSociH6465/IRQeaU+yRcR78Lty9p9ZygWy8rSa351WnSK7xwlZDrZUVI1R6jIEFGxKDJI4vVNY4AP1x097+hIzSjdyyIieaE2tcj5zlAM0rj0TReGI6Y7C4ba6cDXfYcQKRX6DScyCOL1TbXAh6oPPWtmbPTUA3znERHZbmxqUdx3hmLwwD6Z5SunRIb7zlGi3hEkg4/5DiFSClQsigyweH1TGXBNxbSm6eVTDzvKdx4Rke0ymXR67MYVKnD20qvhzPofnh+d5DtHifufIBnM8x1CpNipWBQZQPH6phDwltiYaUdWBbNP0BQZIpJP0p1r1kbJhH3nKGQOxy1n2tZ0LKTX0S8Dvhskg+N8BxEpZioWRQbWWeHqkafVNF14ooXCUd9hRES6K0st2eQ7Q6H785j00oUHRcf4ziEAxID7gmTQ4DuISLFSsSgyQOL1TYdbJHZp3TFvOjoULdMw6iKSd4alFunv/l7osEzHty6JjfWdQ95gGNk5GEf7DiJSjPRHQ2QAxOub9gWurp017+BwvFZvJEQkL41LLdYcdXvhm8fRtqkqpDkq889U4FdBMtDgTSIDTMWiyF6K1zeNAq6tCmZPiY2acpDvPCIifUl3bdk8cvOaOt85CtWCmq4Vj8+KaRqk/HU48KMgGei9rcgA0n8okb0Qr2+qBK6NjdtvbMW0I0/wnUdEZEdcx8vrQxp0a49swW352tyoCu38dw7wVd8hRIqJikWRPRSvb4oA7wxV1EypmXnuKRbSyHgikr8qUi9t8Z2hUP3o0MzqtpFh3YteGN4bJIPrfIcQKRYqFkX2QLy+yYBLMJted8ybjgzFKmp9ZxIR2ZmRqRc0QvMeWFqe/k/LqdEpvnPIbvlSkAwu9B1CpBioWBTZM8cAp9cccUEiUjNqX99hRER2ZUL7i8N8Zyg0aVz6pgvDMQvp7VKB2T4H4/6+g4gUOv32E9lN8fqmKcCVFfseUV424QBNBiwiea9ry4YNNV0dGilyN/1q3/TylydHVGQXpirgniAZVPgOIlLIVCyK7IZ4fVM18L5I3bhQ1UEnn20aLEJECoBtWJ7ynaHQvBLJrL/7/Ngk3zlkrwTA13yHEClkKhZF+ile3xQG3kY4Oqz2qEtOs0hUn1aKSEGoTi1O+85QSByOW86yremoBi4rAm8LksGbfYcQKVQqFkX67wzg0LpZlx4cjteO8x1GRKS/xqQWlfvOUEgeHZtZ+q8DomN855ABc1uQDBp9hxApRBHfAUQKQby+6UDg4vh+sypio6fO9J1HRArPtq6t3Hz/tXSlt5F2aQ6dehxnHX7lG7b50z9/ySPP/4KQhSiLVjDvuA8ybliCxauf48d/uplIOMZbT/4Eo2on0Lmlgzsf/DTXnPk5dtYl3rmMG79h6fBBvryiscEyHd+6JDrWdw4ZUJVk7188YsEVCzp9hxEpJCoWRXYhXt80ErgmXD2is7LxuIt85xGRwhQJR3n/nC9TFq0gne7iK/d/gAMmH8HUMQe8ts3MaSdx7AFzAHh2yWP8/LHbueasz/HQP+7h7afewNoNq/nTP+/ngqPezW+e/h6nHXrZTgtFgK5N69aVuW0jBvXiisg3TiC1uTI0wXcOGXAHAvOBt/oOIlJI1A1VZCfi9U0x4D2A1R55ySkWiWk0QRHZI2ZGWe5W53Smi3SmC+ONhV5FrPK177d2bWZ7HRgORdjWtYVtXVsIhyK8knqZto2vUj/+kF2eN9q+dOPAXUVxe7Y2veKJI2MqFIvXlUEyuMJ3CJFCopZFkR2I1zcZMBeYWn3oWWM1n6KI7K1MJs3nf/5uXkmt5LgDzyUxpvdtVH987j4eXvBTutJdvH/OlwA49dB5/OiRm4hGYrzlxI9x7+O3c/bh/WsgqW1bNKDXUKw247Z87VJNk1ECvh4kg78tuGLB876DiBQCtSyK7NiRwCmxsdM2lyemz/YdRkQKXygU5mMXfZPPXP5jlr6ykJfXvdRrm+MPOo8b5n2fc5vewW+e/j4AE0dO4/rzb+UDc77C2vZV1MZH4Jzjzt99muTvP0t757odnnNc++LKHa6U1/zwsMzq1PCwXqviFyd7/6J+1iL9oGJRpA/x+qZxwFUWif2n+rA551sorFZ4ERkw8bIq6sdN55/Ln9zhNjOmncizSx57wzLnHL/5+/c5Y8ab+fVT3+PMmVdweP1s/vDcvX0eI5Pu2jZm40oNbrMLS8rT//n1KdEpvnPIkGkEvu47hEghULEo0kO8vikKvAvYWtN04THhimoNny4ie23DpjY6t3QAsLVrC/9a+RRj6t445/ua1IrXvn9+6eOMqnnj7XN//ff/ceDkJuJl1bl7Gg2zENu6tvR5zvTG1evCPW+MlDfowqVvuihcZiG9JSoxbwmSwVW+Q4jkO7WWiPQ2B0hU7Ht4KDZm2pG+w4hIcWjvXMv3Hv4CGZfGOcdh+x5PMOUofvXkd5g8an8OTszikefuY+HKpwmHIsTLqnjLiR99bf+t2zbz13//lvee+QUATjr4Ir79uxuJhCJcefIn+jxneeqlzUNycQXsV/Xp5asmlSd85xAvbg2SwRMLrljwnO8gIvnKnHO+M4jkjXh9037Ax0OVdWuHn/zOd4Si5dW+M4nIHmte8rmzPj/QBw0Ss+qALwPLe6677LjrrqqJD5/Uey8/Rj33nRXBq3+b6DtHvnolkl73vmujdZmomhVL2ELg8AVXLOjwHUQkH+mXo0hOvL6pCng3sL626eIzVCiKSKGb0L641neGfJXBuZvPDnepUCx5DcDtvkOI5Cv9ghThtWky3gRUVx5w/MTosHG9x7MXESkgXds2dQ7ful4feu3AI+PSy15ojIz2nUPywpuCZPAO3yFE8pGKRZGsI4Cjw5XD1lXUH3WG7zAiInttw8r1viPkqw2hTMcdF8fG+c4heeWWIBkc6DuESL7RADdS8uL1TaOAq4BVNYefd3ooEtPcSyJS8CpTi7cN9DFnL15EZShMyCCCcU8i8Yb1d6xby6/a2wFIO8eLW7fy6LR6Ms7x/pdX0p5O8/6Ro5hdnW3wvGblCj41ZgyjI9GBjrpTt59AaktlaMKut5QSUg58J0gGRy24YkHadxiRfKFiUUpavL4pArwdcBXTjhgfHTHpYN+ZREQGwqjUothgHPe7kyYxLNL324e3DR/B24aPAODhjg3ctX49deEw31u/jnNrajmzppp3Ll/B7OpqHu7YwAFl5UNeKP6jrmvFk03lGvRH+nI4cB3wRd9BRPKFuqFKqTsNaLCyynWVjcfP8R1GRGSgTNjw4nCf53+gfQNnVtcAEMXY7DJszTjMoMs57lq/nquGD23EzbgtX5sbHTakJ5VCc2OQDOp9hxDJFyoWpWTF65sSwIXAiprDzzs5FKvQqIEiUhS2bW5rq0xvLh/o45oZb1+xnIuWvMRP2tp2uN2mTIY/bezglFx307Nqavjzxo28c8UKrhkxkh+1refcmloqhngg0h/MyKxuHx7WrQayMxXAHUEyMN9BRPKBuqFKSYrXN0WBtwEbyycHY2Kj9zncdyYRkYESbl++Aagb6OP+YPJkRkeirO3q4u0rlrNPLMbMeLzXdn/o6OCwigrqwmEAqsNhbp+YnX4ylU5zx7q1fHXCRP579Sra0xmuHD6c6RUVAx33DV6qSK/+zezoFFUA0g/HAtcAt/oOIuKbWhalVM0GJlk42lYZnHKOmen9g4gUjZrUosxgHHf7/YUjIhFOrqri2c2b+tzugQ3tnFlT0+e629a+yrtGjOSB9nYOKC/nM2PHcvMrrwxG3Nd04bpuuihcZppSUfrvf4NkMMV3CBHf9FtTSk68vmkccBHwcvXMc48Nl1eN8p1JRGQgjUkt6t3ct5c6Mxk2ZtKvff/Yxk7qy8p6bbchnebJzk5Oquo9xeOSrVtZ09XF4fE4m12GEIYZbHGDUtu+5v79MitWT4zoXkXZHVXAt3yHEPFNxaKUlHh9Uxi4EtgSGzutrmxCw7GeI4mIDCiXSWfGdywf8JFj1nZ1cfmyZZy/5CXmLl3CcVWVHFtZxd1t67m77fUpHR/s2MDRlZXE+2jF++qrr/D+kdnP586sruG+VIpLly7lrYM40M2aSHrtT86JTh60E0gxOyVIBlf5DiHik+5ZlFJzDNAAvFQ9/cy3mfokiUiR6ep8dW2U9ID3mJgUi3FvYmqv5ZfWvbHB7vzaOs6v7ft2yZvGvz614YhIhB9OGdxefhmcu/mccDoT1e962WNfDpLBbxZcseBl30FEfNAvTykZ8fqmEcBlwKqqYPb0cGWd5tkSkaITa1/S6TtDvvjj+PSyRftHRvvOIQWtDrjNdwgRX1QsSkmI1zcZcDlAqLzalU+dcbLnSCIig6KubZEG7ALaQ5kNd14SG+c7hxSFc4JkMM93CBEfVCxKqZgJzABWVx929vGhaFmV70AiIoNhfPvi3iPLlKDbTmTDlopQzHcOKRq3BMlAA+JJyVGxKEUvXt9UQ3ZQm/9ER00dHhu7b5PnSCIigyLdtXXLqE2rS37Uz7/XdS1/6ojYeN85pKiMBG7xHUJkqKlYlKKW6356CVAGbKyefvoZGtRGRIpVZuOq9aESnzZ2M27z/EujI3znkKJ0aZAMdBuLlBS9aZZitx9wLLAyvt+s/SM1o/b1HUhEZLBUpF7a4juDb987PLOmfVh4wOeZFMm5NUgGUd8hRIaKikUpWvH6pgjwFqDNIrFQfL9Zp/nOJCIymEamXijpKbFerEiv/t3sMs2pKIOpAbjWdwiRoaJiUYrZMcAEYH31oWfNCpXFS/4+HhEpbhNSi/ue4LAEdOG6vnJJuNx3DikJ/x0kA90TKyVBxaIUpdygNnOB1ZHasdVlExuP9Z1JRGQwdW3t6Kjt2lDpO4cvv9g/s2LN+EjJFssypKqAL/kOITIUVCxKsToHiAKbqw8761QLRXR/gYgUNduwos13Bl9WR9Nrf3JOVN1PZSjNC5LB8b5DiAw2FYtSdOL1TVOAk4GXyyYFE6PDJxzkO5OIyGCralvc5TuDDxmc++qccMZFNNK1DLlbg2RQ0vcJS/HTL1YpKvH6phDwJqATyFQecPxsz5FERIbE6PZFJXm/3sMT0ssW7x/RZOniw0HAe32HEBlMKhal2MwA9gdeqZh2xL6RquFTfAcSERlszmXc+A1LhvvOMdRSoUz7dy6OaaAR8enGIBmM8R1CZLCoWJSiEa9vqgAuB9Zkn8/SxLkiUhK6Nq1fX5HZGvOdY6h9/WQ6tlaEdE+6+FQD3OA7hMhgUbEoxeQ0oBrYWNl4/IHheM0434FERIZCpH1Zh+8MQ+3pYV3L/z5TrYqSF94eJIMG3yFEBoOKRSkK8fqmMcAc4GVC4VDFvjNP9J1JRGSo1KYW+Y4wpDbhNs+fGx3hO4dITgT4nO8QIoNBxaIUiwuALqCr6qDZ00NllXoTISIlY2z7orjvDEPprsMzazYMC5fUNUveOzdIBprTWYqOikUpePH6pgTQBKy2aFmkPHHICX4TiYgMnUymq2vsxpUlM7jNonh61e9nl2lORclHX/QdQGSgqViUghavbzLgQmAT4KoOPu2IULS82nMsEZEhk964Zl0EVxJ/z7fhum6+WC2KkreagmRwie8QIgOpJP64SFHbDzgYWBMqry4rn3jAMb4DiYgMpbLUkk2+MwyV+xoyK9aMj9T6ziGyE58NkkHJjUwsxUvFohSseH1TCLgEaAdc1fTTZ1kkVuE5lojIkBqeeqEk/pavjqbX/nROVN1PJd/tC7zbd4juzCxtZs+Y2T/M7Gkzm5VbnjCzTbl1/zSzu8ws2m2/Y8zsCTNbmHu8s9u6G8ys08xGd1vWkfs6ycxeMrPhuefDcs8193UBKok/MFK0AmAasDZcNTxeNrb+SN+BRESG2vj2xTW+Mwy2DM7ddG7YuUhI71ukEPxXkAzyqQV8k3NuunPuEOBjwP92W7fYOTed7HuqiWQ/hMfMxgI/BK52zjUAxwDvMrOzuu37KvChnidzzi0HbuP1EWI/B3zTObd0YC9LhoJ+6UpBitc3hYFLgXUAlQed3GThiLp9iEhJSW/bvGnklrX59KZ0UDw0MbPspfrISN85RPppBHCd7xA7UAOs77nQOZcGngAm5BZdA3zXOfd0bv2rwEeA5m673QnM3d6C2MNNwJFmdi3ZQvPLA3YFMqRULEqhmgmMA1Kh8qpY2dhpR/gOJCIy1FzHyl5v+opNKpRp/+5F0fG+c4jspg8EyaDOd4icilxX04XAt4FP99zAzMrJjiz/m9yiA4Gnemz2t9zy7TrIFowf6Hk859w24MNki8ZrnXNb9/YixA8Vi1Jw4vVNMWAu2e4PVB508uEWjpb7TSUiMvTiqRe3+c4w2ObPpmNrRSi66y1F8kot+dO6uL0bagNwOnCXmVlu3b5m9gywFljmnHs2t9wA18exei67BbjCzPrqDn8GsAo4aK+vQLxRsSiF6GhgGNBh0bJI2fgG3asoIiVpVGpRURdRTw3vWv7MjJhaFaVQfSBIBsN8h+jOOfcXYCQwKrdo+z2L08h2Gz0nt/x5sr24upsB/LPH8drI3tv4nu7LzWw6cApwJPBBMxs3kNchQ0fFohSUeH1TnOy8imsAKg886dBQtKzKbyoRET8mtL+YL93cBtwmc5vmz42O8J1DZC/UkD+tiwCYWQMQJtuS+Brn3Cqy9yN+LLdoPnBlrujDzEYAnwe+0MdhvwK8C4jktjWyA9xc65xbBnwR+NKAX4wMCRWLUmiOBuLAJkLhUPmkg2b5DiQi4sO2LalUVbqzaCeoTx6ReaWjLly01ycl4/1BMuhrAJihtP2exWeAHwNX5Aa06ek+IG5mx+aKx8uBb+XudXwMuNM598ueO+UGv7kXKMstegfZLq2/yz3/OtBgZscP7GXJUIj4DiDSX/H6pjLgXLa3Kh5wwkGhWEXRfqouIrIz4fYV7WTviyo6L8TTqx46qUxzKkox2N66+ElfAZxz4R0sX0K3+wmdcw44pNvzR4DDd7DvDT2eX0euFdU5903gm93Wpcl2YZUCpJZFKSRNQCWwGaB8yiHH+I0jIuJPdWpxxneGwbANt+3mS9SiKEXl/UEyUJdqKUgqFqUgxOubosB55EZAje9/TEO4vGrUzvcSESleY1IvFOUo0D9vzKx8ZVykKFtMpWRV08fk9SKFQMWiFIpDgeHARoCKfWYc6zeOiIg/zmUy4zuWFV1Lxapo+tWfz4lO8Z1DZBC8L99GRhXpDxWLkvfi9U1h4AJgHUDFPjOnhuO1GkpdREpWV+er62Kuq6jGHcjg3M3nhXHhkO16a5GCUwVc4zuEyO5SsSiF4CBgLNAOULHPzKP8xhER8SvavrTTd4aB9uCk9LKXpkVG+s4hMojeHySDCt8hRHaHikXJa/H6JgPOB1IA0RGTh4VrRk3zm0pExK+6tkW+IwyotlCmPXlRTD1GpNiNAq7yHUJkd6hYlHzXACSA9QDxhqOPyE32KiJSssa1L67ynWEgzT/VNm4rD0V95xAZAh8KkkGfU1mI5CMVi5K3cq2K5wIdABariMZGJab7TSUi4lc6vXXrmM5VRTNQxpMjupb949DoON85RIbIVOBi3yFE+kvFouSzfYD9yU2XUdl43MEWjhblUPEiIv2V6Vi9LmQURQ+LTsts+vrcqO5TlFKjaTSkYKhYlHx2FrB5+5OyCQcc4TGLiEheqGh/afOutyoMySZe2VgbjvvOITLEZgbJ4DjfIUT6Q8Wi5KV4fdNosnMrrgEoTxw6JVxRPdpvKhER/4a3LSqKKTP+XZl++eETY5N95xDx5HrfAUT6Q8Wi5KtjgQzgACr2mdnkN46ISH6Y0L641neGvbUNt+2mueGiGqRHZDedHSSD/X2HENkVFYuSd+L1TeXAbOA/AJG6sTWRujH6hSoiJa9r68aOYdtS1b5z7K2fHZhZuXZMpMZ3DhGPDHiv7xAiu6JiUfLRoUA5sBWgsuG4mWYh/VsVkZJnG1amfGfYWy/H0q/ce1Z0iu8cInngLUEyUAu75DW9AZe8kpsu42xy8ypaJBaOjdlnht9UIiL5oTL1YpfvDHsjjcvcdF7YXDhUFKO5iuylGuBy3yFEdkbFouSbacB4oB0gvv8xB1gkppHyRESA0akXynxn2BsPTk4vW7pvRFNliLzuPb4DiOyMikXJNycDW7Y/KZvQeKjHLCIiecM5x4QNS4b5zrGn1ocyqbsujE30nUMkzwRBMjjWdwiRHVGxKHkjXt80HDiC3HQZkWHja8NVw6f6TSUikh+6Nretr8hsLtiWxfmnWue28lBRTPshMsDUuih5S8Wi5JNZua8ZgHj9kYeY6bYWERGASPuyDb4z7KknRnYte/bQ6DjfOUTy1IVBMhjjO4RIX1QsSl6I1zfFgNPJtSoCxEZPPcRfIhGR/FKTWuR8Z9gTnZbpvG1udJTvHCJ5LAq8w3cIkb6oWJR8cTBQCWwGKJ9yyKRQWeVwv5FERPLH2NSighzs6ztHsXZjTbjCdw6RPPfOIBmEfYcQ6UnFouSL08iNgApQPuWQ6R6ziIjklUwmnR67cUXBfYD2r8r0y388PjbJdw6RAjAJmOM7hEhPKhbFu3h901iyU2Zk51aMlkeiwycc6DeViEj+SHeuWRclU1CtDttw226eG9aE4yL9d5XvACI9qViUfDCT3KA2APH6oxosHC3YEf9ERAZaWWpJp+8Mu+uegzIr146J1PjOIVJAzgiSwWjfIUS6U7EoXsXrm8LAbODV7cvKJjSoC6qISDfDUosK6u/1ylj6lfvOik7xnUOkwESAy32HEOmuoP74SFGaBtQCmwAitWOrw9Uj9/EbSUQkv4xLLar2naG/0rjMV84PhwiFNPeRyO67wncAke5ULIpvs4Ct25/k5lbUGwwRkZx015bNo7e8Wuc7R3/9dkp62fJ9IiN85xApUAcHyeBQ3yFEtlOxKN7E65viwFHAK9uXRcfsc7C/RCIi+cd1vLzed4b+WhfOpL53YWyi7xwiBe5K3wFEtlOxKD4dRHYi2i6A6Oh9RobLqzRxs4hINxWpl7b4ztBf80+zzq6yUMR3DpECd1mQDKK+Q4iAikXx62Rgw/YnFYnpB3jMIiKSl0amXiiIN42Pj0wvW3BIdJzvHCJFYCRwlu8QIqBiUTyJ1zeNBvYjN7ciQHTk5EZ/iURE8tOE1OJhvjPsykbLdN4+N6KeISID50rfAURAxaL4M4Ps3IoOIDpi0rBwRc1Yv5FERPJL15YNG2rSG+O+c+zKHbNY21kTrvCdQ6SInBkkAw0UJd6pWJQhF69vCpGdW3Ht9mXlUw9Tq6KISA+2YXnKd4Zdaa1Kr3z0uNgk3zlEikwUuMB3CBEVi+JDAhgGdG5fEBs5Rfcrioj0UJ1anPadYWe24rZ+9dJIje8cIkXqYt8BRFQsig+Hku2CCkCkbmxNKF47wWMeEZG8NCa1qNx3hp35SZBZtW5UuNp3DpEidaK6oopvKhZlSOW6oB5Nty6oFVNnNJqZv1AiInnIuYwbv2HpcN85dmRFLL3m/jOjk33nECliEdQVVTxTsShDbRJQB2zaviA6eqruVxQR6aFr07p1ZW5bXk6bkcZlbrogHCEU0id9IoNLXVHFKxWLMtQOJjcCKkC4emRluHKYPpkWEekh2r50o+8MO/J/icyy5VMjedvqKVJE1BVVvFKxKEMmXt9kwLH8f/buPLqt674X/XefCQNJcNBAkZol0pRkS5Yt2/KgOI4nJWGiOHam297XdFhtc2/b1Ze2ad99N6/la5pe3r6bm6lpmqSOI2ce6iSOM3uI69gJHduaLFk2NUDURHEGQWI+Z78/DkhTJEBJBLAPCHw/a3nZPOcAvx9XGABf7H32BkamjgU23LBJcA4qEdEc9WPHvG4hpxHdgQDj+AAAIABJREFUGfvK/eYqr/sgqhIGgHd63QRVL4ZFUqkVwFIA09+WW5yCSkSUU8v4sRqve5hNQuLTbxaJjE8zvO6FqIq8x+sGqHoxLJJKF01BFabf0Gub1nrYDxFRWXLsdLp58lzZTfP89TK77/A2c4XXfRBVGU5FJc8wLJIS2SmouwCMTh3zr922Vmg6v50mIprFnrwwoguU1RT9SeFM/uv7zOVe90FUhQwA93ndBFUnhkVSpRnuNNSJqQNW88Y279ohIipf/sjJhNc9zPZvuzAar9XLet9Hogr2Vq8boOrEsEiqXA3AmXnAaGjZ6FEvRERlrSlyTPe6h5mO1Nlnn91lcVEbIu/cvXXv1rLcSocqG8MiqXI7gMjUD0bDipDur13mYT9ERGVr5fjxkNc9TElBpj75XqNs+iGqUiG4t/MQKcWwSCUXbN/ZBGANgPGpY/412ziqSESUQyYdizWlRssmnH1zm3N+dJle53UfRIS3eN0AVR+GRVKhDTNWQQUAc+ka3q9IRJRL9NzopS9S47TPHvjBW8w1XvdBRAB43yJ5gGGRVLgOwOuLNQhNGHXLNnjXDhFR+aqJHE973QMA2JDOJ+7XdWhaWa3KSlTFrt66dyu/vCGlGBappILtO3UA2zFjywzfqqtXCsPkinpERDksixyzvO4BAH683uk7vc7g3m5E5YVTUUkphkUqtdUALADT35T7Wq/i/YpERDlIKbEyeqLJ6z6GdWf0q/ebq73ug4jm4FRUUophkUqtA7h4Y2mzsZX3KxIR5ZBJRsZq7ISnMy8kJD71FpG0La2stu8gIgDAXVv3bi2L2QdUHRgWqdRuxIwtM7RAyK8FG1Z62A8RUdnSx09Hve7hueV23ytbzRVe90FEOdXA3Y6MSAnD6waocgXbd9YCWA/gzNQx36qrVwshuFgCEVEOocgxx8v6E8KZ/Px7rWYve6h2Zx48g+j+KIyQgfaPtgMA4qfiOLf3HGRaAjrQ+jutCG4IXvS41FAKfZ/uAxxA2hJL7l6Cpjub4KQd9H2yD+nRNJrubMKSu9zbUM8+dBZNdzYhsDag/Hekgr0VwONeN0HVgSOLVEob4E5Bnd42w1q6mqt4ERHl0TzWG7z0VaXzhTdgNF6r+bzsodo17mrEur9cd9Gx/m/1Y/l9y9H2kTY0v7MZ/d/sn/M4o8HAhg9vQNtH2rDhbzdg8IeDSI+mMfHyBALrAmj7SBtGf+GuNRfviwMSDIqLF+9bJGUYFqmUtgLIzDygh5ZzwQQiohwcx7ZbJ894trjN4Tr77K9us1Z5VZ9cNR010Gsuvl1UCAEn7g4623EbZqM553GaoUEz3Y91MiOnv6YVuoCTdiCd17c7HnhkAMvfubxEvwEp0LF171ZuQUZKcBoqlUSwfacAcAOAkemDuqHpwXrer0hElIMdGxoxYS/zonYSMvmp9xn1XtSmS1vxWytw6n+dwvlvngccYMOHc+eE1HAKpz5+CqmBFFa8ZwXMRhNGyMDYc2M48fcnsPStSzG+bxyBdYGcgZMWlbcA+IzXTVDlY1ikUmkGUA+gb+qAr3VTi9B0/s0REeVgjYdjXtX+xnanf3Spudar+jS/kSdHsOI/rUD9jfWIPB/B2S+exfq/Xj/nOmuJhfZ/aEd6NI2+T/Wh/sZ6GPUGVn/AndQjMxLhj4Wx5s/X4PzXzyM9nEbDbQ0IXRdS/StR4d4MhkVSgNNQqVQ2YtaWGdby9bxfkYgoj4axY54s/tXnswce282gWM7Gnh1D6AY30IVuDCF+Ij7v9WajCd9KHyZfm7zo+PCTw2i4rQHxY3EIXWD1f12NwUcHS9Y3ldQtXjdA1YFhkUplK4CL3s2M+hW8X5GIKI/W8WN1qmvakPbHH9ANofHjQDkzG0xMHnWD3+Qrk7Ca526zlx5Jw0ll72uctBHrjcG34vW1iuxJG9EDUTTc1uBel/2f3El7ugAvLdySrXu3tnvdBFU+Tgmkosver7gFM/ZXBAC9tokji0REOdiZVHJZ/EIjFO8s9KMNzumza33rlBaleZ3+7GlMHp1EZiKDox88iuX3LUfr77Xi/Ffd+xWFKbDy99zb/+Mn4xh5agQrf38lkueSOP+N8xBCQEqJpW9ZCv9q//TzDnx/AMvfvhxCCNReU4vhJ4Zx7MPH0PQmz9ZUosLdDKDX6yaosjEsUiksAVCLGYvbmEvWNGqmr8a7loiIypczeX5UE2KFyppDujP6tXeanPFRZlb/l9z/k7T9v21zjgXWB7ByvRsca6+pRfs/5B9oavmtlun/1iwN6z80955HWnRuBvBlr5ugysZ5J3kIIWwhxH4hxAEhxEtCiFuzx9cJIeLZc0eEEA8LIcwZj9slhHheCHE0+88fzXreP5px7nkhxK4Z534hhLhhRp1eIcRuIcQdQojHZj3PPwkhPjrj5/VCiONCiJAQ4pdCiJ4Z524WQqjcvHXOO53V0s5RRSKiPAKRk0mV9SQkPvVWkbItTb/01URUpnZ63QBVPobF/OJSyu1SymsB/DcA/2PGueNSyu1w78tbBeA9ACDcb4W/BuADUspNAHYB+GMhRGf2/NsA/DGAXdnzHwDwNTHr22QhxCoAPwXwl1LKn+bprwvAu4UQHdmfPwXg/5ZSjmd/bhFC3LPwX78gV2HW/opm00p+e01ElMfSSK/SmT6/bLZPHb3GbFZZk4iKbtvWvVsDXjdBlY1h8fKEAIzOPiiltAE8D2Bq78A/AfAlKeVL2fNDAP4awP+VPf83AD6UPY7sdXuzj5uyAsDPAHxYSvlovoaklDEAfwXgn4UQewBYUspvzrjk/wPw4Sv8PYtlG4DxmQf0uqUcWSQiymNl5HiDqloTwpn4wnstpVNeiagkTAA7vG6CKhvDYn6B7FTTowD+DcBHZl8ghPDDnQLwk+yhqwG8OOuyF7LHL+c8ADwM4J+llN++VIPZMBnL9vcns04/k+3xDZd6nmIKtu+sAdACYHq9bs1fa2m+Gk82miYiKneZ1MREfSaq7J7uz9+OsUSN5rv0lUS0CHAqKpUUw2J+U9NQN8Hd+PRhIaaXqdsohNgPYBhAn5TyYPa4ACBzPFeuY1NmP+ZxAP+HECJ4mX1+BsCvpZTHcpz7KNSPLq6G+/tM/05Wc9sKoXiFPyKixUJEz4ypqnUolDnz61utVarqEVHJ3ex1A1TZGBYvg5TyVwCWApgaHZu6Z7ENwM3ZaaAAcBjADbMevgPAkex/H8Hc6QLXzzgPAP8EoAfAt4UQl3MPi5P9J1ffPwPQkKOnUlo3+4DZtLIlx3VERASgdux45tJXFS4Jmfz0e01l012JSAmGRSophsXLIITYBECHO5I4TUp5Hu79iP8te+gzAH5XCLE9+7glAP4n3ACI7L//Z/Y4stf9LoB/mVXyg3Dv+XtQFD4k91G4902qsg3AxMwDemgZwyIRUR7LI73+S19VuK9f5/SPLdVrVdQiImVWbd27deWlLyNaGIbF/KbuWdwP4JsA3p9d0Ga27wEICiHekA2P/xnAF7L3Oj4H4ItSyh8A0/cYfhHAc9nzXwDwn7OPmyallADeD/fev6mgeZcQ4syMf265zN/jB5ix32EpBdt3GgDaMXtxm5pGLqRARJSDlI5cNXGq5Luin/LbF354r7m21HWIyBO8b5FKRulS3YuJlDLn3lNSyjCAa2b8LAFcO+Pn/wBw4zzP+1kAn81z7o4Z/50CcO+M0zmXRpZSPg73PseZx3bN+G8JYHu+foqsFe4XENOhWhiWrvm5uA0RUS6Z+Oioz0mVNCzakPbHH9AtofH7YaIKdTOAR7xugioT3zmomFrhLtgzzWreuFzwEwoRUU7GeN/Epa8qzGMb7dPn1hiNpa5DRJ7hfYtUMvwQT8W0EUB65gGzaRU3fSYiyqM+kmsh6+IZNJzRb7zTWl3SIkTktR1b927lbEEqCYZFKqarMHdxG4ZFIqI8VkR6L3ebpCsmIfHJTpGyTS3nbRVEVDGCALZ63QRVJoZFKopg+04TwEoAkzOP6zUNDItERDk4TiazInauZPcrPrPCPvXaFpOvwUTVgVNRqSQYFqlYlmf/fdGej1ogtDzHtUREVc+eHBgxIEvyPhwVzsS/vcfiStRE1YNhkUqCYZGKpQWzFrfR65bWaIZV41E/RERlzRcJx0v13J+7A5FEjeYr1fMTUdnh9hlUEgyLVCxrMGtU0Vq2jqOKRER5NEV6S/IefLDePvP8zRY36SaqLldt3buVqx5T0TEsUrG0Yfb9iqFlSz3qhYio7K0cP15f7OdMQCY//T5uk0FUhQS4yA2VAMMiFSzYvlMAWIe5i9uUdKNpIqLFyk4n4kuSw6FiP+/Xrnf6I006p/8TVad2rxugysOwSMVQD8CHWXss6oEQwyIRUQ5y4uxosZ8z7Lcv/Pgec22xn5eIFg2GRSo6hkUqhuUA5OyDmq+GYZGIKIdg5ET60lddvgyk/fF36T6h8W2dqIq1ed0AVR6+q1AxNGP235IQQlhB3jdDRJTDsrFes5jP91i7ffr8aqOhmM9JRIsORxap6BgWqRg2AEjOPGA0tISEpuke9UNEVNZWRk8U7cu0AcMZ+cY7rDXFej4iWrTatu7dKi59GdHlY1ikYlgN4KL9wszGFk5BJSLKIZOMRGrteKAYz+VAyk++Tcs4JuefEhGCAFq9boIqC99cqCDZlVBbMCss6nVLGRaJiHLQxs+MF+u5/qPF7uvdbHBPWyKawqmoVFQMi1SoQPafi1dCrWlkWCQiyqEuctwpxvNENWfiwXdbLcV4LiKqGAyLVFQMi1SoJgBzPvhogTqGRSKiHJrHev3FeJ5/vQORZI1mFeO5iKhiMCxSURleN0CLXhOAOTdTa75aroRa5qRj4/zeD8KoW4Ll7/q76eMjP/9XTBx6HGv+4jtzHhM/uQ9jT38J0s5A6AYa3vT7CKy9FjKTxsAjH4EdHULddZ2ou74TADD8k0+j7rq3wmreqOz3IipnUjpO6+SpJYU+z4GGzJnf7PSvKkZPRFRRuH0GFRVHFqlQS5AzLAY4sljmoi88CnPJ6ouOJc/3wklO5n2MHgxh2QN/i9Y/+AyWdH4Qw499DAAQP/kSrBVtaPn9f0b0wE8AAKmBE4CUDIpEM2RiQyOWtAv6ojYBmfz0e01+IUdEuXBkkYqKYZEKtQpAauYBvW5JjdCMou4hRsWVGR9C/MRvUHvtvdPHpGNj9BdfRMMdv5f3cVbzRhh17qCIuXQtZCYNmUlDaDpkOgk49vS1Y898BfW7frt0vwTRImSOn4oV+hxf3eH0jzfpNcXoh4gqzkZun0HFxLBIhVqFuSuh1nnUC12m0Sc+j4Y7fh9CvP5+En3pMQTbdsKovbxB4dirz8Jq3gBhmPCvvw725BjOP/yXqN/5AGK9PbCa26aDJRG5GseOFfT4kwG7/yd3m2uL1A4RVZ4A3M9mREXBsEiFmrttRrCh1qNe6DLEjj0PraYBvhWv39aQiQ4jdvRZ1O14+2U9R2rwFMae/hKadv8pAEBoOpbt+RBaf+9TCHbswvgL30fopndi5IkvYPC7/4hYb09JfheixaZl/NiCXx8zkJmPv0v3CW6pSETz41RUKhoucEMLFmzf6QdQB2Bk5nE9EGJYLGPJs0cQ7+3BmeMvQNopyGQc5x/8r4Bh4uzn/hAAINNJnP3cH2LlH39hzuMz40MY/O5HsaTzL2A2zl21P7rvh6i95i4kzx6F0E0sfcffoP8rf4Vg+86S/25E5cy2U6nlsf7GuXd5X55Hr3LO9K/yrStqU0RUidoBPOl1E1QZGBapEI0A7NkHNX8tp6GWscY3/i4a3/i7AIBE30GMP//di1ZDBYC+//2unEHRSUxg4DtdaHjj++FftWXOeTsxgfix32D5ez+C+LEeQAhACMhMes61RNXGmegf0QRWLOSxA4Y9/K095ppi90REFYkji1Q0nMtChci5bYbwBTmyWEFivT0Ye+YrAIDxlx5DZuw8Is99A+ce+jOce+jPYE+OTV8befbrqL/1vRBCILD+eqT6j+H8g3+K2mt3e9U+UdkIjJ9MLORxDqT8xB7ddkzOPyWiy8KwSEXDkUUqRANybZthBRgWFwn/mm3wr9k25/jMPRaD7Tunp5A23Po+NNz6vrzP13TXH07/tzAsNL/3I0XslmhxWzLWu6D33Kdb7b5jHX4uakNEl4t7LVLR8FtKKkQTADn7oGb6GRaJiGZZOX6i4UofM6450S++x5p7czARUX4bt+7dys/4VBT8Q6JCLAGQnH1QmH7es0hENEMmNTnRkI5c8Rdpn30TosmAZpWiJyKqWD5w+wwqEoZFKsRSAKnZB4VpcWSRiGgGET0budLH7GvInH7xJqu1FP0QUcVr9roBqgwMi1SIRswKi5q/1hKaYXrUDxFRWaqJnMhcyfUJyMRn3mcuKVU/RFTx+PpBRcGwSIWYExb1uqWcgkpENMvyyGtXNJX0yzc6A+ONerBU/RBRxWvyugGqDAyLtCDB9p0mgACAi74t12saOQWViKqWlHLO+6qUEiuj4cv+4HYiYPf//G4f91QkokIwLFJRMCzSQtUCcGYf1Hw1AQ96ISIqC46054wgZhJjowEn6bucx2cgM//7Pbq/+J0RUZVhWKSiYFikhapDjm0zhOm/rA9ERESVSDr2nHu2jfG+6OU+/nsdzpmBVuOKt9ggIpqF9yxSUTAs0kLlnG6qmRbDIhFVLSkdffaxUOTYnC/Wcuk37eFv7zE5/ZSIioEji1QUDIu0ULXI8fcjDB/DIhFVJykhpWPMPtwS6a251EMdSPnJt+uONDS+LxNRMTAsUlHwTYkWqj7XQWFY3DyaiKqTdOoBedEoouPY9orJM5f80PbUSrvveIexrHTNEVGV4TRUKgqGRVqoJQDSsw8K3eTIIhFVJSHtFg3CnnnMjg2MGJi7QupMEc0Zf+jdVmtpuyOiKsORRSoKhkVaqBByhUWDYZGIqpOQzhIhLt5OyBcJxy71uH+5CxOpgDZnYRwiogIwLFJRMCzSQgUB2HOO6ianoRJRVdKkXa8L7aIv0RojvfO+z77UmDm97waOKhJR0TVu3btVeN0ELX4Mi7RQOcMip6ESUVWSUhPSCWlCvygstkaO1+V7SBwy8Zn3mryviIhKQQPAbXioYAyLtFBB4OLpVgAgdINhkYiqj8ws05xMXAg4U4fsTDKxLDmU98Pawzc6A9FGPaimQSKqQpyKSgVjWKSFCiDXyKLGsEhE1UeTslm3E5GZx+TEudF81x8L2uefuNvHPRWJqJQYFqlgDIu0UDnDInSd9ywSUfWRdqNuJy8Kh4HIyWSuS9OQmU+8myOKRFRynOZOBWNYpCsWbN8pAPiRe2SRYZGIqo4m7XrdSV2YeWzZWG/OFU6/u9k5M9Bq5NyrloioiDiySAVjWKSFMAEIAHLOGSF05d0QEXlJOpaQMqjbqYGZh1vHjzfOvrTftIf//W0mp58SkQoMi1QwhkVaCB9yBUUAgOAyzURUVYTjrNDtVFRATi9uk0lGoyF78qKppg6k/Pg7dCkNje+9RKQCp6FSwfiGRQvhA15f8e8iQvBvioiqioC9TLcTYxcdi56OzL7uyVVO38l2Y6m6zoioynFkkQrGD/a0EPPdl8iRRSKqKkI6DbqTGp55rG7s+EX3dEc0Z/xL7zJb1XZGRFWO+yxSwRgWaSHybo8hOAuViKqMcOwG3U5etLhNc+SYf+bPn7kbE6mAlnPBGyKiEuFrDhWMYZEWIvfIotCYFImouki7VpO2rjnp6W0zpHRk60R4+l6hF5syp/fvsDiqSESq8XMZFYxhkRYi99+NxrBIRNVFOPYKzU6NzXzxy8RHRnwyYwBAXMj4Z95rcpEJIvICP+dTwfhHRAuRMxQKjiwSUZUR0llq2PGLF7MZPTa9ANjem+TQRIMenPNAIqLS4+cyKhjDIi1E7hcfhkUiKi+pUhfQpF2vO+mhqZ+llFpg7NUaAOitsc8/eae1utQ9EBHlwc/5VDD+EdFC5JmGqvPviYjKyWMlfXYpASkbdDt5fupQyk7UrY71IQ2Z/vh79JqS1icimh+/xKeC8cM9LYRAjhcgTkMlojLyy3B3Z29JK0h7ieZk0pq0YwCQ1rE2nYlpayb7A49sds4OrTBCJa1PRDQ/fs6nghleN0CLUp5pqNw3g4jKxhdLXUCTTrPuJMcAQAJGwsQOmbowMGDaoUfebq4tdX0iokvg5zIqGL9xoIXgiw8RlbMJAN8qdREhnSbDTowBQMLEjeNBjNVPhiOfuE+H1DnTgog8x8/5VDD+EdFC5PwQJDPJjOpGiIhy+Fa4u3Oy1EWEtOt1OzWQ1tCcsLBqKISeF9e8Jk+2GUtLXZuI6DLwSysqGKeh0kLkDotphkUiKgsPlryClIaQTp1mpwZiPuweCuFw0C+Sn1j5anvvCWPkgGbFXjHMTNhnaoM+wxfzG7WwNC54Q0QqcVCICsawSAuR95sq6dgZoen8uyIirxwNd3c+V/Iq0mnQnPRkynCungggPR7EkQ+34ZpmA3XNyGCXzDQhDSANd1IsgBEHqf3CHD+omfGjpmWfsgxtyG/6E369FqbGvRiJqNg4skgF44d6Woj831Q5TgYMi0TknYdUFBHSCWiZeDppom2wHo9DCNzXiuvme0yTButOpJfeKdNAKubuApkNkhekSOyHGT2km4lXTdPus0x92Gf4EwG9ThiaX8GvRESVhyOLVDB+qKeFyLl1BgBIaacFTH6wISIvZAA8rKKQJjN+ILFkOIRXUqYYvaER9W21WL/Q52sW0r8bKf9uJwUk4f4Tdc+dc0R8n2ZGD+lm8lXDsk/7DH3UZwSSfiMkDGEV5zciogrEsEgFY1ikhZB5zzgO71skIq/8ONzd2a+kkkw1xXyp+Fgt9gPAn27Edq1E2we1ajLQilSg004B9qQbJLNOSRHbL6zoId1MvmaazhnLNMb8RiDl10NCF2Yp+iGiRYPTUKlgDIu0EBnkCYxSMiwSkWdKvrciAPjloC8pnGUjdeljpkSHBMbetExcr6L2bGuFDK5FMvgOOwnYABIAxgFHSpyAPrFPmBMv62aq17Sccz7DjPiNQNqvh4Qm+P5PVPnyf7lPdJn4ZkELkTcswrHTalshIgIAXADwmIpCLf7w6nEhenxCsxIZ0fKGldr2RssIqah9uTQh0Aantg3J2nfPDJIRICOl7JX6+H7Nir1smMljpinP+0xz3G8EMz6tXmiCU9eIKkPc6wZo8WNYpIXIGwilY3NkkYi88OVwd6eq15+7Q1KGQ7Y9AgD/Z4fvAUV1i8IQQmwWTmgzEiFkEu7Xf9mPlGkp5SswIgc0c/KwbqaPWxbO+wwz6jdqbJ8WEiWaaktEJcGwSAVjWKSFyP+BjCOLROQNJVNQ93SYzQA6APQBwNKg8G9o1DapqK2CKYTYBrt+m7Trp4NkzD2XkNI5DGPsgGbFDxtm6qRpin6faU349RrHp9UxSBKVnZjXDdDix7BICzHPyCLvWSQi5X4d7u58RVGtmwA4yE7Ff9cWY6tRJff/+YXQdsBu3CHjjUjH3XeC7EfRmCPtA8KMHNTM+BHDSp+0TG3AZ1gxv17rWFotcySRJziySAWrijc4Krp5RhYzDItEpJqqUUUdwN0AhqaO3diqz7u3YrUIakK/BZmmW2QG00Fy0j0XkUgfghE9oFmxV0zTPmmZYshn+GJ+oxaWVuNp40SVjWGRCsawSAuRNxBKO51Q2QgRVb0YgG8oqtUBIARgFABuWqk3L6vRWhTVXrTqBcxdyDTtkpkmpACkAEy450YcpPYLc/ygZsaPmpZ9yjK0Ib/pT/j1OphawMu+iSoAwyIVjGGRFiKNPHv3yHSCL0xEpNJ3wt2dUUW13gh3TVEAwFvbDY4qFqhJg3Un0kvvlGkgFbsoSF6QIrEfZvSQbiZeNU27zzL1YZ/hTwT0OmFofk8bJ1oceM8iFYxhkRYi78iik4rzhYmIVFI1BTUEYAeAcwDgN6BvWaZtU1G7WjUL6d+NlH+3kwKScP/Jfi1wzhHxfZoZPaibidcMyzntM/RRnxFI+o2QMITlZd9EZYRf4FPBGBZpIfKOLDrJGMMiEalyLNzd+bSiWtcB0OAuboP7NhkdfkNwmqRHWjUZaEUq0GmnAHvSDZJZp6SI7RdW9JBuJl8zTeeMzzRGfUYg7ddDQhemd10TKcewSAVjWKSFyCBvWJxkWCQiVR5SUWRPhykA3IvsvYoAsGsNp6CWq7VCBtciGXyHnQRsTE8cdqTECegT+4Q58bJupnpNyznnM8yIPxskq2RVW6oqDItUML4w0kLkn4YajzIsEpEKNoC9imqtAdAK4BQAbGwUoVUhsVFRbSoSTQi0waltQ7L23TODZATISClfk/r4fs2aPGyYqWOmKc/7THPcbwQzPq1eaELzun+iBRjzugFa/BgW6YrFentksH1nHO7fz0XB0YmPMywSkQo/C3d3nlVU6xbM2F/2vk3mtRo3DqwohhBii3BCW5AIIZNw39myYzJpKeUrMCIHNHPyZd1KH7dM9PsMM+o3amyfFhL8W6DyNex1A7T4MSzSQkUBmJgVFu3YGMMiEamgamEbH4A7AAwC7vz761q4t2I1MYUQ22DXb5N2/XSQzL7TJaR0DsMYO6BZ8cOGmTppmqLfZ1oTfr3W8Wm1DJLksRGvG6DFj2GRFioCYClmzYd34tGklI4jhMYpO0RUKkMAHlVU62oAFrIji/duNNaFfKJRUW0qc34htB2wG3fIeCPScfevJBskY460DwgzclAz40cMK33SMrUBn2HF/HqtY2m1zJGkAMMiFYxhkRZqHEDOzahlJh0Tpq9WcT9EVD2+Gu7uTCmqdTeAyakf7lzPUUW6PEFN6Lcg03SLzGA6SGb/kiIS6UMwogc0K/aKaWZOWqY25DN8Mb9RC0ur8bRxqiQMi1QwhkVaqDE9GUTkAAAgAElEQVS401DnkHYqBoZFIiqdB1UU2dNhLgOwGUAfADQFhK99ibZZRW2qbPUC5i5kmnbJTBNSAFIAJtxzIw5S+4U5flAz40dNyz5lmdqQ3/An/HodTI3btdDlih56/6H0pS8jmh/DIi1U/rCYTsXgV9wNEVWLF8LdnYcU1boJ7r6KEgAe2GxcY2jcp49Kq0mDdSfSS++UaSAVuyhIXpAisR9m9JBuJl41TbvPMvVhn+FPBPQ6YWh856WZuLgNFQXDIi1UBO4G1XPITJKL3BBRqaha2EaHOwV1aOrYzlWcgkreahbSvxsp/24nBSTh/hN1z51zRHyfZkYP6mbiNcNyTvsMfdRnBJJ+IyQMYXnZN3mCU1CpKBgWaaFicL9xn8NJTEYU90JE1SEO4GuKarUDaEB2b8XrW7Rly2u0lYpqE12xVk0GWpEKdNopwJ50g2TWKSli+4UVPaSbyddM0zljmcao3wik/XpI6Bwtr1AMi1QUDIu0UDFkp2bN5sTHGRaJqBS+G+7uVPX6cjtmfNx+21UmRxVp0VorZHAtksF32EnABpAAMA44UuIE9Il9wpx4WTdTvablnPMZ5pjfCGb8ekhoQve6d1owTkOlomBYpIXKO9XUjo2NqWyEiKqGqimotXDvVzwPAJYO7epl2jYVtYlU0oRAG5zaNiRr3z0zSEaAjJTyNamP79esycOGmTpmmvK8zzTH/UYw49PqhSa4RVZ5G/S6AaoMDIu0UDG4+1PPkYkOcWSRiIotDOBJRbW2A9DhfnTGOzqMqwKm4HYGVFUMIcQW4YS2IBFCJgFkML2zclpK+QqMyH7NjB3WrdRxy0S/zzCjfqPG9mkhwU0ky8FZrxugysCwSAuVPyyOnufIIhEV20Ph7s6cU9+LaU+HKQDsBjA6dewNaw1OQSWawRRCbINdv03a9dNBMjvfKCGlcxjG2AHNih82zNQJyxQXfKY14dNrHJ9WxyCpzBmvG6DKwLBIC5X9fhECs+5ddOLjCWlnkkI3fOrbIqIK5AD4kqJaq7L/nAKAtfWidk29aFdUm2jR8wuh7YDduEPGG5GOA2kAk+65mCPtA8KMHNTM+BHDSp+0TG3AZ1gxv17rWFotc2RRMSxSUTAs0oLEenucYPvOUQA+uHc4XMRJxSN6oG65+s6IqAI9Ee7u7FNU6xa44yQAgHduNq/V+AmWqCiCmtBvQabpFpnB7CAZkUgfhBk9oJmxo6aZOWmZ2pDP8MX8Ri0sjdPArxynoVJRMCxSIQYArECOsChTsTEwLBJRcaha2MYC8CbMWBji+hburUikQr2A+Qakm94g001IAUgBmHDPjThI7Rfm+EHNjB81LeeUZYohv+FP+PU6mFrAy77LGEcWqSgYFqkQ/QDWAZizoI2TmIygXnk/RFR5RgF8V1GtLXBnS6QA4K71+poGv1iiqDYR5dGkwboT6aV3yjSQil0UJC9IkdgPM3pINxOvmqbdZ5n6sM/wJwJ6nTA0v6eNe2fk0PsPxS99GdGlMSxSIc7D/WA1h52IcpEbIiqGr4W7O5OXvqwo7sKMbYHu3sCFbYjKXbOQ/t1I+Xc7KXdn1CSAqHvujBSxAzAnDhpm4jXDck77DH3UZwSSfiMkDGF52XeJcQoqFQ3DIhViBLMWt5niTI5x+wwiKgZVU1CXALgawGkAqPfBumqJtkVFbSIqjVVCBlchFey0U4A96QbJrFNSxPYJK3pQN5O9pumctUxj1G8E0n49JHRhetd1UXAKKhUNwyIVYgx5wmJmYpgji0RUqP3h7s6XFNW6Ae7rmQSAB7aYV5t6RY88EFW1tUIG1yIZvM9OujuqJgCMA46UOAF9Yp8wJ17WzVSvaTnnfIY55jeCGb8eEprQve79MjAsUtEwLFIhIsi31+LI2RHFvRBR5VE1qqgBuBfA8NSxm1dxYRuiaqQJgTY4tW1I1r57ZpCMABkp5WtSH9+vWZOHDTN1zDTleZ9pjvuNYMan1QtNaF73n8WwSEXDsEiFiADI+cJoT47GZSYVE4YVVNwTEVWGJICvKqrVBqAJ2b0VtzVrS1bUaqsV1SaiRcIQQmwRTmgLEiFkEu4mO9llZNJSyiMwIvuFOXnEsNLHLRP9PsOM+o0a26eFhNoteE4qrEUVjmGRFizW25MKtu+MArCQXT1wJjsxMWjUNq1V3xkRVYDvh7s7Vc1QeANmvIa9/SoubENEV8YUQlwLu/5a2PXTQTK7XFZCSucwjLEDmhU/bJjpE6aJC37TmvDpNY5PqytBkDxW5OejKsawSIUaANCIHGHRiY0NgGGRiBZG1RTUGgA3w90KCKYGbWuzfq2K2kRUHfxCaDtgN+6Q8Uak40Aa00Ey5kj7gDAjBzUzfsSw0ictUxvwGVbMb9Q6lqhdYI48XsT2qcoxLFKhLgBowfRC1a/LREcGreUb1HdERIvdaQA/V1TrWgA63DuT8PYOoy1oilpFtYmoygU1od+CTNMtMoPpIDnpnotIpA/AHD+omfGjppk5aZnakM/wxfxGLSytJs9TRg+9/9CAqv6p8jEsUqHOwf1Wfo5M5MKg4l6IqDLsDXd3OqUusqfDFADugXv/NQDg9rWcgkpE5aFewLwd6SW3y7Q7fysFYMI9N+Ig9aI0Y30h34nXgr7xXss0zutGfVITXGCQiophkQo1gDwroqaHwgyLRHSlJBRNQQXQCmAdsgvbrAqJmrX14ipFtYmIFqxJg3UP0hYm09djcmLmqW951RNVpnJZ4pcWr0EAOUcA7OjwpMykYor7IaLF7Rfh7k5VK/ndjOz0UwC4f7O5TS+fpe+JiBbiqNcNUGXhmyIVahDz/B3ZiYkhhb0Q0eKnamEbE8CdcF/DAAA7Wri3IhEteq963QBVFoZFKkist2cS7gx6K9d5JxbhTdZEdLkiAP5dUa3NAIJw93PE7Wv1lY0BsUxRbSKiUuHIIhUVwyIVQx+AnKty2RMjvG+RiC7XN8LdnXFFtd6E6cXrgd0bjesV1SUiKhUJjixSkTEsUjGchPsN/RxcEZWIroCqKaiNcLfMGAaAOgtmx1LtahW1iYhK6Cy6IpNeN0GVhWGRiuE03H3K5kgNhjkNlYgux8vh7s7nFdXakf23AwD3bza3WLrwKapNRFQqnIJKRcewSMUwz4qoQ5NOOhFV3A8RLT6qRhU1APciO6oIALes5sI2RFQROAWVio5hkYphEHlGFgHAnhw9q7AXIlp80gC+rKjWBgDLAEwCwJZlWmNLrVirqDYRUSkd8roBqjwMi1QM866Iao8PMiwS0Xx+EO7uVLXNzi4Aqakf3tFhXCeEUFSaiKikXvC6Aao8DItUsFhvj4R732LORW7Sw2cYFoloPqqmoAYB3Irs3oqagNjWrG9XUZuIqMSS4MgilQDDIhXLceTZPiN5/tVzUkrF7RDRInEOwE8U1doKwASQAYC3XWVsrLFEnaLaRESldAhdkdSlLyO6MgyLVCxnkOe+RSceTcpkbDjXOSKqeg+HuzttRbXuATA+9cMd6wwubENElYJTUKkkGBapWM7B3Qw2J3tyhFNRiSgXVVNQWwBsBDAKACtqRWB9g+hQUZuISAGGRSoJhkUqln64YTHn31QmcoFhkYhmeybc3dmrqNZOANMjmA9sNrfpmsi7ijMR0SLzotcNUGViWKSiiPX2pAGcAlCb63xq8BTDIhHNpmpU0QBwF4DpFVdvXKlxCioRVYoEgJe9boIqE8MiFdMRADkXi0j19/ZLx1F1XxIRlb8ogG8rqrUJ7hdZCQC4bbXe0hTQmhXVJiIqtQPoimS8boIqE8MiFdMJ5FnkRmZStpOIXlDcDxGVr2+FuzsnFdW6A0B86oc3txnXK6pLRKQC71ekkmFYpGI6i/kWuYkOcyoqEU1RNQW1AcB1yE5BDZowNi3VrlFRm4hIEYZFKhmGRSqmIQBpAEauk+mRs31q2yGiMnU03N35nKJa1wMQABwAuH+zudlnCL+i2kREKjAsUskwLFLRxHp7HADHkOe+xcSZl8NKGyKicvWQiiJ7OkwB4F4AI1PHbl2tc2EbIqokkwBe8boJqlwMi1Rsh5FnRVR7fHDCSUwM5TpHRFUjA2CvolrrATQDmACAq5Zo9SvrxHpFtYmIVNiPrggXEKSSYVikYpt3qmlmfOCkqkaIqCz9KNzdqWqxq9vgTo0HANy3ybhOCKGoNBGREpyCSiXFsEjFdhbu/UE5pYb6wupaIaIypGphmwCAXQAGAUATENtX6NtV1CYiUohhkUqKYZGKLQJgHIAv18lk36GTUuZdMJWIKtsFAD9UVOsaABayI4tvaTPW11qiXlFtIiJVfuV1A1TZGBapqGK9PRLAywAacp23J0fjTmKC+y0SVacvh7s7VW0cfTeA6NQPb1rPhW2IqOKcQlfkuNdNUGVjWKRSOIg8I4sAkIlc4H2LRNVJ1RTUZgDtAEYBYHmN8G9o1DapqE1EpNATXjdAlY9hkUph3jCYHgyHFfVBROXj1+HuTlXLu98Ed19FCQD3bza2GprIuf8rEdEixrBIJcewSKUwBPfexZwbXydOHwpL3rhIVG0eVFFkT4dpwJ2COr1Nz00rOQWViCrSk143QJWPYZGKLnvf4gHkuW/RiUeTTnz8vNquiMhDkwC+qajWVQBCABIAsHOl3rw0qLUoqk1EpMphdEX6vW6CKh/DIpXKIbgrEeaUGevnfYtE1eM74e7O6KUvK4o3IhsUAeAt7QZHFYmoEnEKKinBsEilMm8YTF04fkJVI0TkOVUL24QA3IDs3ooBA/rVy7RtKmoTESn2uNcNUHVgWKRSGQUwAiCQ62T81P6wtDNJtS0RkQd6w92d/6Go1nUABNzFbXDfJnOTzxA5X4OIiBYxG8DTXjdB1YFhkUoie9/iPgCNOS+wM05mfIB7AxFVvi+pKLKnwxQA7kV2uwwAuG0NF7Yhoor0G3RFxr1ugqoDwyKV0mEAer6TqYGTryrshYjUswHsVVRrLYBWAFEA2NgoQqtCYoOi2kREKvF+RVKGYZFKKQx3SlhO8RMv9nILDaKK9tNwd+dZRbVuBZCe+uGdm83tmhB5X3+IiBYxhkVShmGRSibW2zMGYABATa7zTmwsbk+OnlbbFREppGphGx+A25Fd2EYA2L5C366iNhGRYnEAz3ndBFUPhkUqtd8g332LANJDfZyKSlSZhgA8qqjWNQB8yI4s3rvRWBfyibyvO0REi9iz6IpwgUBShmGRSu0Q5vk7S/QdYlgkqkxfCXd3pi99WVHcBWBi+ocNXNiGiCoWp6CSUgyLVGonAaQAGLlOpgdPDjvJyWG1LRGRAg+qKLKnw1wGYDPcrXrQFBC+tiZti4raREQeYFgkpRgWqaRivT1pAC8BWJLvmvTIudfUdURECrwQ7u58WVGtm+DuqygB4F1bjGsMTeT8coqIaJG7AOBFr5ug6sKwSCq8AMCf72Ty3FFORSWqLKoWttEB3A33/kgAwE0rOQWViCrW99AVcbxugqoLwyKp8Brcb/1zLmOf6Dt4WmbScbUtEVGJxAF8TVGtdgAN2ZrY0aItW16jrVRUm4hItX/3ugGqPgyLVHKx3p4JuIGxIecFju2kI/2cikpUGR4Jd3dGFNW6HcD0qoCdV5kcVSSiSjUK4Cmvm6Dqw7BIqvwaQF2+k8kzR1Td30REpaVqCmodgJ3I7q1o6dCuWa5dq6I2EZEHHkVXJON1E1R9GBZJlVfmOxk/8cIJmUnFVDVDRCVxEuq++b4W7tR2GwDu22R0+A0RVFSbiEi1R7xugKoTwyKpMgB3EYqanGcd20mPnD2itCMiKrYvhbs7ZamL7OkwBYDdAMamju1aY3AKKhFVqgkAP/O6CapODIukRKy3RwJ4DkBjvmsSfQcPqeuIiIrMAfAlRbVWZf8ZB4C19aJ2Tb1oU1SbiEi1H6IrkvC6CapODIuk0iHkWREVABKnDvQ5qbiqhTGIqLieCHd39imqdSuA6Xt37t9sbteEyPvaQkS0yHEKKnmGYZFUOgV3iXtfvgvSQ31c6IZocXpQRZE9HaYF4A5kF7YBgOtb9O0qahMReSAB4EdeN0HVi2GRlIn19mQAPANgab5r4uH9nIpKtPiMAPieolpXA/ADSAHAXev1NfV+sURRbSIi1X6GrsiE101Q9WJYJNV+A0DPdzJ1/tULdmJiMN95IipLXwt3dyYvfVlR3AlgcuqHezZyYRsiqmj/7nUDVN0YFkm1MNwVDAP5LkgPhjkVlWhxUbW34hK4I4vDAFDvg9XepF2tojYRkQfSAB71ugmqbgyLpFSst8cB8AvMNxX1+Aucikq0eOwPd3fuU1TrRgAy+w/etcW82tSFqag2EZFqT6ErMnbpy4hKh2GRvPAS5vnbSw/3jdqxsbMK+yGihVM1qqgBuAfZUUUA2LlK5xRUIqpknIJKnmNYJC+cBdAPoDbfBan+YwfVtUNEC5QE8FVFtdrg7tMaA4Brm7UlK2q11YpqExGpZkPdwmFEeTEsknKx3h4J4Am4H/xymjz6y4PSsTP5zhNRWfheuLtzRFGtN8C9fwcA8PYOLmxDRBXtR+iKDHjdBBHDInnlAIC8m2g78fFEevTcYYX9ENGVUzUFtQbALQAGAMDUoF2zXL9WRW0iIo8oeX0luhSGRfJErLdnEMBJAA35rkmcePFFdR0R0RXqA/C4olrXwt1yxwaAPR1Ge9AUeaexExEtchcAPOZ1E0QAwyJ56xcAQvlOJvoOnrYTUU7BICpPe8PdnU6pi+zpMAWA3XC33AEA3L6WU1CJqKI9jK4Ib8WhssCwSF6a2iIj73TU1LnXXlLUCxFdPgngIUW1WgGsARABgNUhUbO2QbQrqk1E5IUHvW6AaArDInkm1tszBjcwLsl3zeTRZw5woRuisvOLcHfnSUW1bkZ2+ikA3L/ZvFYTgu9dRFSpnkNX5FWvmyCawjdc8toTAGryneRCN0RlSdXCNiaAOwEMTh27vkXfrqI2EZFHOKpIZYVhkbx2BEAUgD/fBYmTL3GhG6LyEYG6jaK3AAjC3c8Rb1yrr2oMiGWKahMRqTYB4FteN0E0E8MieSrW25MB8DMAeT8AJk4dOG0nJgbznScipb4e7u6MK6r1JgCxqR/u3ciFbYioon0TXZEJr5sgmolhkcpBD9y/xXkWunmVo4tE5UHVFNQmANsADAFAnQWzY6l2jYraREQe4d6KVHYYFslz2T0X51/o5tVfcqEbIu8dCnd3/kZRrR3Zf0sAeGCLucXShaWoNhGRakfRFXnO6yaIZmNYpHLxOOZb6CYWSaSHzxzKd56IlFCyXcaeDlMDcC+A4aljt6zSOQWViCoZF7ahssSwSOXiFbg3dudd6Cb26i9/JaVU1xERzZQG8GVFtTbAnWkwCQBXL9OaWuq0tYpqExGplgbwsNdNEOXCsEhlIdbbk8YlFrpJXTg+aI8P9qrriohm+EG4u3NIUa1dcD88AQD2dBjcLoOIKtkP0RUZ8LoJolwYFqmc/BqXWOgmfuI3v1LXDhHNoGSK1J4OMwjgNmT3VtQExLZm7q1IRBWNU1CpbDEsUtnILnTzMuZZ6CZ+4sWTdny8X11XRATgLICfKqq1FYAOIAMAb7vK2FhjiTpFtYmIVDsG4EdeN0GUD8MilZt5F7oBgMSpg1wtjEith8PdnXapi+zpMAWA3QDGp469aZ1xfanrEhF56BPoijheN0GUD8MilZvDAMYABPNdMPnK04edVGI833kiKjpVe3+tALAe7msAWmpFcF2DuEpRbSIi1UagaJVpooViWKSyEuvtyQD4AeZZ6AaO7STPHe1R1hRRdXsm3N15TFGtnQCmRzAf2GJu0zWhK6pNRKTaZ9EViXndBNF8GBapHP0aQApA3g24Jw8/9aK0M0l1LRFVLSWjins6TBPAXcgubAMAN7RqXNiGiCpVEsCnvW6C6FIYFqnsxHp7YnC30Vie7xonEU2mBk6+pK4roqoUBfBtRbU2AaiF+wEKu9borU0BrVlRbSIi1b6KrsgFr5sguhSGRSpXv4D795n3b3Tylad7pHR4UzhR6Xwz3N05qajWHQDiUz/s3mhcp6guEZFqEsDHvG6C6HIwLFJZivX2DAN4DkDekYXM6LlIZvTcYXVdEVUdVVNQGwBsBzAEAEETxqal2jUqahMReeAn6Ioc8boJosvBsEjl7Odw71sU+S6YPPL0M1JKqa4loqrxSri781eKau2A+/9zBwAe2Gxu9hnCr6g2EZFq/8vrBoguF8MilbM+AEcBLMl3QerC8UGOLhKVhJLl3LN7K94Ddwl5AMCtq3VOQSWiSrUPXZEnvW6C6HIxLFLZivX2SACPwV30Iq+Jw089zdFFoqLKAHhYUa31cKebTwBAxxKtobVOrFdUm4hINd6rSIsKwyKVu1cA9AMI5bsgPXBiKDNy9mV1LRFVvB+FuztVrdJ3G4D01A/3bTK2C5F35jkR0WJ2BsA3vW6C6EowLFJZi/X2OAC+D6BxvusmDj/J0UWi4lG1sE0AwC4AAwCgCYhrV+jcW5GIKtUn0RXJeN0E0ZVgWKTF4CW4U9QC+S5ID4aHMyNnDqlriahi9QP4oaJa18BdxCoDAG9pM9bXWqJeUW0iIpXGAXze6yaIrhTDIpW9WG9PEsD3ACyf77qJlzm6SFQEXw53d6r65vseuB+gAAB3rtevV1SXiEi1f0NXZPzSlxGVF4ZFWiyexaVGF4dOjaSHTx9U1xJRRVI1BXUFgHYAYwCwvEb4NzRqm1TUJiJSLAbgn7xugmghGBZpUYj19iQAPIJLjC5Ovvzk01I6jpquiCrOr8LdnUcV1boR7r6KEgAe2Gxs0zWhK6pNRKTSp9AVUbVoGFFRMSzSYvIcgCiAYL4L0sN9o+nh0wfUtURUUVSNKhpwp6AOTh27cSX3ViSiihQBRxVpEWNYpEUje+/ipUcXDz3xHxxdJLpik1C3pHsHgDoACQC4eZW+YmlQW6GoNhGRSh9DV2TU6yaIFophkRabX8H9li7/6OLImbH04KmX1LVEVBG+E+7ujCqq9UZkgyIAvKXN4KgiEVWiQQAf97oJokIwLNKikh1d/HcAy+a7Lrr/R7+QdialpiuiivCgiiJ7Osx6ADuQnYIaMKBvWaZtVVGbiEixbnRFJrxugqgQDIu0GP0a7uhiTb4L7OjwZPLc0WfVtUS0qPWGuzufUVTrOgAC7uI2eOdmc5PPEHlXOSYiWqTOAvgXr5sgKhTDIi06sd6eFNzRxaXzXRfd/+NfOemEqml1RIvZQyqK7OkwBYB7AUzfv3Pbai5sQ0QV6R/QFUlc+jKi8sawSItVD9z92fKOLspUPJ04ue8pdS0RLUo2gL2Kaq0F0AJ3VWO0NWmhlSGxQVFtIiJVTkDR1H6iUmNYpEUpO7r4HVzi3sWJlx/fb8ejA2q6IlqUfhru7jynqNatANJTP9y3ydiuCSEU1SYiUqULXZH0pS8jKn8Mi7SYPQ93kYxQ3iuklLGjz/xUWUdEi4+qvRX9AG5HdmEbAWD7Cn27itpERAodAfBVr5sgKhaGRVq0Yr09aQBfA9A033XxEy+cyEQuvKamK6JFZQjAo4pqXQ3Ah+zI4u42Y13IJxoV1SYiUuX/QVeEez1TxWBYpMXuAIBjuNRiNwd++jMpHb54E13sy+HuTlVTpe5G9l5FALhzPRe2IaKK8yK6Io943QRRMTEs0qIW6+1xAHwDQC3cmW05pQfDw6kLJ55X1hjR4qBqb8XlADYhuwrqkoDwtTVpW1TUJiJS6MNeN0BUbAyLtOjFenuOwb1/ccV810VfeuxpmUnF1XRFVPZ+E+7uPKyo1o1w91WUAPDAFmOroQlDUW0iIhWeQlfkJ143QVRsDItUKR4BYALI+wHUiY8n4uH9T6hriaisqVrYRgdwD9z7IwEAO1dyCioRVZQMgD/zugmiUmBYpIoQ6+3pB/BjuHu45TVx4Ccv2pNjZ9R0RVS24gC+rqhWO4D6bE3c0KotX1ajtSqqTUSkwj+jK6JqpgaRUgyLVEl+DCAJIDDfRdEDP32Mi91QlXsk3N0ZUVTrjXD/fwkA6Gw3OapIRJXkAoC/87oJolJhWKSKEevtmQDwTQDN812XOv/qhVT/8R41XRGVJVVTUOsA3ITs3oqWDu3q5do2FbWJiBT5G3RFxr1ugqhUuMAAVZpnAbwZQAOAsXwXjb/w/aeW7P7TqzXLH1LWGVF5OAHgKUW1tsP9UtIGgPs2GR1+QwQV1aYydjri4He+F0f/hIQmgD+63sSf3+zD/n4bH3gsgURGwtCAf+kM4KaV+pzH638/jq3L3e+719RrePQ/uX9Wv/1IDIcuOHjbVQb+8S4/AOAjTyexrVnDOzaZ6n5BqhbPAXjY6yaISokji1RRYr09GQBfAdCEebbSkKlYOvbasz9S1hhR+fhSuLtTlrrIng5TALgX2e0yAOANawxOQSUAgKEBH7vXj1f+pBa//oMafOY3aRwZtPHXP0/g795oYf8HavH3b/Lhr3+eyPn4gAHs/0At9n+gdjooHrxgu//+L7V4ps9GJCFxPurg+XM2gyKVggPgT9EVKfnrKZGXGBapEh0B8AIusZVG7NVnX02PXXhVTUtEZcEB8CVFtVYDWAVgHADWNYi61fWiTVFtKnMtdRqub3FHDOt8ApuXaTg7LiEEMJ69wzWSAFrr8n7nN4epAfE04EiJlC2ha8DfPpXE39/hK8WvQPR5dEX2ed0EUakxLFLFifX2SLgrPWoA5v2UEH3pBz+WTiatpDEi7z0e7u48rajWLXCXkwcA3L/ZvFYT4vI/+VPVCI852Hfexs5VOj6x248P/TyB1R+P4q9+nsD/yE4lnS2RAW74/ARu/rdJfO+o+xK+eZmONfUarv/cJN6zxcSxEQcSwHUtc6exEhVoGMB/97oJIhV4zyJVpFhvz2Cwfee3AfwWgHC+6zKj5yKJvpefCry9QgcAACAASURBVKzbfq+y5oi8o2phGx+AO5Bd2AYArlvBvRVpromUxAPfiuETb/Yj5BP48AtpfHy3Hw9sMfGtw2n8waNxPP47NXMe1/fBWrTWaTgx6uDOvZPYulzHxiYNn3jz6+Hy7V+P4XNv8+Oj/5HEgQs27tlg4A93WCp/Papc/x1dkRGvmyBSgSOLVMmeAnAW7v2LeUX3/bDHjo9fUNMSkWdGAHxPUa0tcEf1UwBw9wZ9Tb1fzPv/Q6o+adsNir+91cT9m917CvceSOH+ze732O/eYuD5s3bOx7bWuR9fNjRquGOdgX39F1/3/aNp3NCiYzIl8fKgjW+9O4gvH0wjlubtZVSwFwF8wesmiFRhWKSKFevtSQN4CEAI8/2tO7YzceiJx6SU/BRBlexr4e7O5KUvK4o7AUxO/XD3Bi5sQxeTUuIPHk1g81Idf3HL63cLtNZpePqUG/yePGmjfcncl+7RuEQy475cD8UcPHvaxpZlr1+XtiU+2ZPCh26zEEu/vtKZI4FU7uxJdLkk3EVtuFczVQ1OQ6WKFuvtORZs3/kk3I3B896rlTx96Exq7bbnfc0bd6rrjkipB1UU2dNhLgVwDYA+AGj0w2pv0q5WUZsWj2dP2/jywTS2Ltew/V8nAAD/eJcPX3i7H3/+kwQyDuA3gM+/LQDg/2/vzuOjvO48339OLZKQELtZBBiwkQV4IxBH3uIljpdrJUpi98x0bvdMenqWzu2Z7nszmds33dOdIZlMtzodx+lOHDuOHe8bwZu8YLxhG9u4ALOZrSgWsYMQ2lVS1VP1nPvHU7JlFqkEqqe0fN+vV72QSs9T52cwSN865/wOrDuc5r51SR6oHsX2hjR/9nIXAeMFwB9cU8CC8z7bl3jP2iTfuTxMcdhw2ZQAFrj03nZunxtiXJG2zco5eYQlLR/luwgRPxlNpshwV1xeWQrUAHF6zHaczISLQhNv/S/fDRSWTPStOBF/bKirqVrkx0DVFeHbgH9NJiz+x0XhRdUV4a/7MbaISA61ABexpKU+34WI+EnLUGXYi8cibXiH5k7u7TrrdKXaNr3+gpajyjDkV2ObAHAz0ND9XOV0NbYRkWHhbxUUZSRSWJSRYi2wBZjS20WJA58cTB6JfuBPSSK+SABP+DTWXLyGUnGAhVMDk6aMDszwaWwRkVx5H7gn30WI5IPCoowI8VjEBR7H69AY7u3a1jXPv5PubFN3VBkuXqirqWryaazryHRABfjaRWHNKorIUNcJ/ClLWrTqSEYkhUUZMeKxyBHgeaCst+ts2km3bXj1eeu66psnw4FfS1BHA1cC9QDhAIFLJgcu82NsEZEc+juWtMTyXYRIvigsykjzOnAU6LWJTfJI9Fji4NZ3/SlJJGf2A2/6NNblQBBIA1RXhMqLw2a0T2OLiORCBLg730WI5JPCoowo8VgkAfwGKKWv5ajrXnw/3dF8yJfCRHLj4bqaqpyfB1ZdETbALUBz93PXzdLZiiIypCWAf68zFWWkU1iUEScei9QBzwLTe73Qurb145eet2465UddIgPMAg/5NNZ04Hy81vLMHGNKZo0z5T6NLSKSCz9iScv2fBchkm8KizJSvQbUAef1dpFzfO+Jrn2b3vKlIpGBtbKupqrOp7GuJLP8FOCO+eHLA8bo+4uIDFVrgX/KdxEig4G+mcuIFI9FHOABYBRQ0Nu1betf/ijVdqLOj7pEBpBfjW3CwI3A8e7nFpfpbEURGZqstZ3Av2NJi1YViaCwKCNYPBY5CDxNX8tRgdbIsudsKhnPfVUiA6IZb6m1HxbgvemSALhhdnDGuCIzyaexRUQGlDHmr1nSsiPfdYgMFgqLMtK9BewEpvR2UarlWFv7lrefs1bHLMmQ8HRdTVWXT2PdCHz6RsotF6qxjYgMWSuBf8l3ESKDicKijGjxWCSNtxw1DBT2dm3n7jW7k4ejq3wpTOTc+LUEdQJwGXACYEwh4YsmBi7xY2wRkYFkrW0F/oQlLXpXWKQHhUUZ8eKxyDHgcbJYjtoSWbYy1d64P/dViZy1T+pqqtb6NNbizK8W4M754YsLgqbXPcAiIoORMeb/ZkmLvr+LnERhUcTzHrAJmNbrVda1rR8tW6b9izKI+TWrGABuJTOrCHDlDDW2EZEh6QWWtDyc7yJEBiOFRREgHou4wCOAC5T0dm2q5Whb+9aVz2v/ogxCSbxZcj9cAEwEOgAumRyYMK00cL5PY4uIDAhr7UHgP+W7DpHBSmFRJCMeizQA9+M1uwn2dm3nrsiu5JGdH/hSmEj2XqqrqWrwaaxr8cIpANUVamwjIkOLtTZljPlDlrT49e+myJCjsCjyeRuB5cCMvi5siSx7O93edCD3JYlkza8lqMXANWTOVgwFMJdODl7ux9giIgPFGPM3LGnRG78ivVBYFOkhHotYvPPp9gGTe73YTbstkWXLbMrp9KM2kT4cAlb4NNZleLPvKYCq8tDckgJT6tPYIiLnzFpbC/ws33WIDHYKiyInicciSeBevB+Gi3u7NtV8pLVj+zsvaP+iDAKP1tVUpXM9SHVF2AC3AK3dz90wW0tQRWTocK3dZ4zRMRkiWVBYFDmNzHEa9wNT6ePvSXzn6p2JQ9ve8aMukTOw+LQEFa9j8BygGaCs1BTPHmcqfBpbROScWGudgDH/iiUtTfmuRWQoUFgUObP1eMv6ZvZ1YWvk2XedpiPbc1+SyGmtqqup2uXTWFfidQ0G4M754cuCAaPvJSIyJBhjvs+SFr/OohUZ8vQNXuQMMvsXlwH7gfP6ur75/SeeT3e2Hct5YSKn8quxTRj4ClDf/dziMp2tKCJDQ9q1z7Kk5Zf5rkNkKFFYFOlFPBZJ4O1fDAGjervWJuNOy0e/f9qmknFfihPxtAG/92mseXj7eBMAXz4/WDZhlOm9EZSIyCCQdu2eYMD8ab7rEBlqFBZF+hCPRY4CD+Dt1er170yq8WBz26YVS6113d6uExlAz9TVVPn1BsUNwKfdf2+dq8Y2IjL4udYmggFzB0taWvu+WkR6UlgUyc464A3g/L4u7KrbsK9zz8fLc1+SCODfEtRxwELgBMDoAkLzJgUu9WNsEZFzETDmL1jSsinfdYgMRQqLIlnI7F9cCuzC65Daq/aNy9cl6/d+nPPCZKTbXldTtdqnsRYDhkxzm2/NC88vCJpCn8YWETkrrrWPs6Tlt/muQ2SoUlgUyVJm/+I9QBcwrq/rmz986tVUe+O+nBcmI5lfs4oGuBVo7H7u6pnBRX6MLSJyttKujQaM+W6+6xAZyhQWRfohHos0Af8MlAJFvV6cTrktHzy11E12tvhRm4w4KeBRn8aag9cRuB1g3qTAuLJSM9unsUVE+i3t2tZgwHyDJS0d+a5FZChTWBTpp3gsshf4LVAGBHu7Nt1+It66rvYpm04lfSlORpJX6mqq6vu+bEBcAzjdn3yjIvQFY4xPQ4uI9I9rbSoYMN9kSUs037WIDHUKiyJnJwLUkkXDm+SR6LH2LW+qQ6oMNL+WoI4CvkzmbMWAwVw+NXi5H2OLiJyNtMufs6RlZb7rEBkOFBZFzkKm4c3zwAZgRl/Xd+5aszu+86PanBcmI8VR4FWfxroUCOMte+X28tAFowvMWJ/GFhHpl7hj/yX8v1rV0EZkgCgsipyleCySxjt/sQGY1Nf1HVve3NS1/5O3c16YjASP1dVUpXwa62bg07PJbpwd1NmKIjIotSftG8Vh8//kuw6R4URhUeQcxGORdryGN2FgdF/Xt659flWyfs/anBcmw51fS1CnAnOBZoApJWbUBeMD8/wYW0SkP9oSdtfoAvNNlrTYfNciMpwoLIqco3gscgT4Jd7sYriv65vff2K503x0R84Lk+Hqw7qaKr/+//kS3rmKFuDOBaFLgwHTa1MnERG/xR3b7LjcwJKWeL5rERluFBZFBkA8FtkCPAnMpK+/V9ba5vceeTbd3nTAj9pk2PFrVjEEfBU43v3cFWVagioig4uTtsnWhL1twj+2Hsp3LSLDkcKiyMB5A1gBzAJ6PVfAOolU06rHnnK72ht8qUyGiw7gGZ/GqsA7T7QL4KoZwakTiwNTfRpbRKRPrrW2vsP+ydSftUXyXYvIcKWwKDJAMh1Sn8Y7VmNmX9e78ebO5g+fftx1utpyXpwMF7+vq6lq92ms64HO7k9umxvSrKKIDCrH2u1Ppv+87al81yEynCksigygTIfUB4EYUNbX9ammwy2ta194wqZTiZwXJ8OBX0tQxwKL8Tr9MipEcMF5gUv9GFtEJBvHO9zfT7ur7Yf5rkNkuFNYFBlg8VgkAfwK7wftyX1dnzyy81jbhleftG7KyXlxMpTF6mqqVvk01hfwllK7AN+aH55XGDKjfBpbRKRXjZ324/NKAv9nvusQGQkUFkVyIB6LtAE/B5LAhL6u79q3cX/7phVPWTft19l5MvQ85Mcg1RVhA9wCNHU/d81MNbYRkcGhLWEPFga5iSUt+n4p4gOFRZEcicciDcBdQBFeo5Bede75eG/7J288bV03nfPiZKhJA4/4NNYsYBrQBlA+ITB2+hhzgU9ji4icUVvCNjR32atK/r61Jd+1iIwUCosiORSPRQ7gzTBOAPpcxte5a83ujq1vLbXWdXNenAwlr9XVVB32aayrgU/fsf/mvNDCgDG9dvcVEcm1toRt3dPkfnnm3W0H812LyEiisCiSY/FYZAfwa7zZmnCf1+9cvbNj27vLFBilB78a2xQB1wH14G1aXDg1uNCPsUVEzqQjaeMbjqZvvfy+9h35rkVkpFFYFPFBPBZZCzyOd6RGsM/rd6zaHt/x/vPWWpvz4mSwOw685NNYlwCFgANw69zQnNJCM86nsUVETtHp2MS7+1L/6rqHOj7Kdy0iI5HCooh/3gBexNsT1mdg7Nj2zpb4ztUvKi+OeI/X1VT51Sn3q2T2KgLcNEeNbUQkfxIp67waS3339ifir+a7FpGRSmFRxCfxWMQCzwGv4AXGPv/+dWx5c1PnrjUvKTCOaA/6MUh1RXgycBGZLqgTR5nCCycE5vsxtojIyZy0TT273fnhnUvjD+e7FpGRTGFRxEeZwPh7YAUwmyz+DrZvXrG+c8/Held1ZFpbV1O11aexvgTYzIM/WBC6NBQwIZ/GFhH5VMq17nPbU//09JbUT/Ndi8hIp7Ao4rN4LOICTwFv4QXGPjtNtm98dW1899pXNcM44vg1qxjEW4La0P3cl6ZrCaqI+C/tWvvijtQ9T3zi/G1t1FGjN5E8U1gUyYNMYHwceI+sA+PytfGdH6rpzcjRifemgh8uAsZmxuSKssDk80oCZT6NLSICgGutfSWWeuiRTc5/U1AUGRwUFkXyJB6LpIGHgQ/JMjB2bHlrc8fWlUut66ZzW50MAs/W1VS1+jTWdUCi+5Pby8OaVRQRX1lreX136pkH1jvfrY06qb7vEBE/KCyK5FE8FknhnaG3Bq/pTd/3RN/f0b55xZPWTfvVIVPyw6+zFUuBK/CO6KAgSODiyYHL/BhbRKTb23vTtb9e6/xJbdTR9zaRQURhUSTP4rGIA9wPbCDLwNi5e+2etvUvP2bTTqLvq2UI2gO849NYC/G+F6QBvjUvVFEUMsU+jS0iwrt1qTf+OZL8dm1U39NEBhuFRZFBIBMY7wM+IcvA2LVv04HWNc8/bFPJeE6Lk3x4uK6mKud7U6srwga4BWjufu7a80NagioivrDWsjzmvHbX6uQdtVFH38tEBiGFRZFBIh6LJIBfA5vxAmOfexgTh3ccbV699CHX6fJrb5vknou3l9UPM4HpQCvAnHGmdOZYM9ensUVkBHOttcu2pV6+d53zh7VRpz3f9YjI6Sksigwi8VikC7gHWEuWTW+c+j0Nze8/+ZCbiDfluDzxxxt1NVUHfBrrKjLLTwG+NT+8MGBMn//PiYici7Rr3Uc2OrWPbXa+Uxt1WvJdj4icmcKiyCATj0WSeHsY38ULjH3+PU01Hmxueu/R36W72upzXJ7knl+NbQqBG8g0tgFYNC240I+xRWTkctI2de+65AvP70j959qo05jvekSkdwqLIoNQpkvqw8AKvMAY7OuedGt9e9PbD/wu1dawN7fVSQ6dAF7waawFQCGQBLj5guCsMYVmgk9ji8gIlEjZxN0fJV94fXf6L2qjjt7cFBkCFBZFBql4LOLiHcr+PN4exnBf97idbYnGt+5/PNmwf2Ou65OceLKupirp01hfBTq6P7npAjW2EZHciTu28x/eT7z4/v7092ujzuF81yMi2VFYFBnE4rGIxZtpegqvGUlBnzelU27zuw+/2HVgy8oclycD70E/BqmuCE/Cm1lsBBhfREH5hMACP8YWkZGnLWHbf/xuYtn6I+73a6PO/nzXIyLZU1gUGeTisYiNxyLL8YLEdKAom/ta1zz3XseOVc9Z1033fbUMAhvqaqo2+TTWFYDNPLhzQfiScND0OXMtItJfTZ225e9Wdj257bj7/9ZGnYP5rkdE+kdhUWSIiMci7+IdrTENyOrQ9I6tKz9p2/DKYzbldOa0OBkIfjW2CQI3Aw3dz1VOD2oJqogMuPoOt/F/vN318J4m+9e1UedYvusRkf5TWBQZQuKxSAT4OTAJGJPNPV11G/Y1f/jUgzpaY1DrAp7waay5wHggDvCFqYFJU0YHZvg0toiMEIda3fq/eStx/8FW+z/V9VRk6FJYFBli4rHIJuAf8JajTsrmHud43Ymmdx56IN3RpCVAg9MLdTVVfoX5L5PpgArwtYvCmlUUkQG1p8k9/Ndvdd1T32F/onMURYY2hUWRISgei8SA/4U3OzQtm3vS7SfijW/d/4jTdHhbTouTs+HXEtTRwJVAPUA4QOCSyYHL/RhbREaGNYfSO//qja67mrv4aW3U6ej7DhEZzBQWRYaoeCxyBPjfwD7gfMD0dY91Eqmmtx/4fdeBre9Ya3NdomRnH/CWT2NdjvfvfhqguiJUPipsSnwaW0SGMdda+8IOZ+1P3kv8IpnmV7VRpyvfNYnIuVNYFBnC4rFIC3AXsAaYDQSzua91zbPvtn/y5pM2rW/mg8AjdTVVbq4Hqa4IG+AW4NMlYdfN0tmKInLukmmbuGdNcuXvNjj3AL+tjTp+nRcrIjmmsCgyxMVjkQTwW6AWmAUUZnNfZ2x1rPn9J3+b7mqrz2V90isLPOTTWNPxzupsATh/rBk9a5wp92lsERmm2hK25X+uTKx4Y0/6fuCx2qiTyndNIjJwFBZFhoF4LJIGnsM7i3EaMDqb+5yGfY2Nb/zmAafp8NZc1idntLKupqrOp7GuJLP8FOCO+eHLA8boe4CInLUjbe7B763oWrH1uPsgsLQ26uR8lYSI+Es/KIgME/FYxGbOYvwZUApMyOY+m4w7TW8/sKyzbuMbVhsZ/fagH4NUV4QLgK8Ax7ufWzQtuNCPsUVkeNp2PL31L5d3vVPfYR8AXqqNOvr+ITIMKSyKDDPxWGQLXuObNDA12/vaPq79sH3j8sdsKhnPWXHSUzPebLAf5uMdtZIEuHF2cOa4IpPVsSsiIj1Za3lzT+rDH7yZiCTS/KI26ryhoCgyfCksigxD8VhkP97RGgfx9jFm9Xe9c8+6vU3vPXZ/Ot56JJf1CQBP1dVU+dVg6Ca8Y1YAuPlCNbYRkf5Ludb53QZnxb9EkuuAn9RGnY/zXZOI5JbCosgwFY9FGoGfAivxOqVm1fgm1XSopfHNe3+XbNi/KYfliX9nK04ELgFOAIwpJHzRxMDFfowtIsNH3LFtP3kvsfzFaCoC/Lg26uzNd00iknsKiyLDWDwWSQKP4XVLnQKMy+Y+6yRSze8+/EJH9MMXbDqlFugDb3NdTdU6n8ZanPnVAtw5P3xxQdAU+DS2iAwDxzvcI99f0fXa+iPuCqCmNuqcyHdNIuIPhUWRYS7T+GYV8BO8wFCW7b0dW97c1Pz+E79Jx1u0LHVg+XJcRnVFOIB3tuKnP9hdOSOoJagikrUt9ektf7G8a+WhNvs08JvaqNOZ75pExD8KiyIjRDwW2QP8CNiFtyw1mM19TsO+xhOv3/NA4sjOD9UsdUAkgcd9GutCYCLQAXDJ5MCEaaWB830aW0SGsJRrnaVbndf/5q3EurjDr4Dna6NOus8bRWRYUVgUGUHisUgzcDfwGl7jm1FZ3ZhOuS0fPv1G+6YVj7tOoj2HJY4EtXU1VQ0+jXUtmQ6oANUVamwjIn1r6rTHf7gy8ezjm50Y8Pe1UWe1Op6KjEwKiyIjTDwWcYBngF/hzTpldR4jQOfuNbubVj5wX6qlfleu6hsB/GpsUwxcTeZsxVAAc9mU4OV+jC0iQ9e24+mNf/5K56tb6t09eI1sYvmuSUTyR2FRZATK7GNcA/wYb+ZpBmCyuTfddqKj8c37nujcu36FdV0tSeqfg8AKn8a6DG+pcQrgaxeF5haHTalPY4vIEOOkrbNsm/PiD95MbO5w2Ig3o1if77pEJL8UFkVGsMx5jEuAj4E5eAe3Z6Vt/csftUaWPeB2dagrXvYeraupcnM9SHVF2OA1tmntfu76WVqCKiKn19Rpj//43cTDj25yWoHlwK9qo05HvusSkfxTWBQZ4eKxSDtwH/AAMAk4L9t7E4d3HD3xxr2/SdbvWavmN32y+LQEFZiGF/6bAcpKTfHscabCp7FFZAjZWp/e8OevdD676Zgbwvs+8Ext1Enluy4RGRxC+S5ARPIvHotY4L3i8srdwHfxmt8cBPpcZmqTcad51eOvFs1ZtG30xV+pDhQWj89xuUPVqrqaqt0+jXUlPf7s7pwfvjwYMHpzUEQ+5aSt82I09cqjm5xGvFUI99RGnf35rktEBhf98CAin4rHIofwzmN8HTgfGJ3tvV1719edeP2eexNHd0WsphlPx6/GNmHgK2Qa2wB8sUxnK4rIZxo7bf2P3k089Ogmpw2IAD9SUBSR01FYFJHPicciiXgs8hRwF97RGtOyvdcmO52WD558re3j2ofchPYy9tAK/N6nseYBJUAC4LpZwenjR5mslxaLyPC2JbPsdPNny05/Wxt14vmuS0QGJy1DFZHTiscim4vLK/8O+FPgUrxlqU4293bt23QgcTh635grvnljwdTyq4wxWXVaHcaeqaup8uuHsRuBT8e65UI1thER6HRsx7PbnVeWbk21A21AjWYTRaQvmlkUkTOKxyKNwN3AU0AZkPV+ROt0pVo+fPqN1rXPP+h2tft1CP1g5dcS1PHAQuAEwOgCQvMmBS7xY2wRGbx2nkhv+cvlXQ8s3ZpKAB+hZacikiXNLIpIr+KxSBp4rbi8cifwZ3h7GQ+TOb+vL4kDWw4lj+y8b8wV37yhYFrFNSNwlnFbXU3VRz6NtSjzqwtwx/zwgoKgKfRpbBEZZDod27Fsm/Py77eljgOlwG+B92ujjvaVi0hWFBZFJCvxWGRPcXnlD4GvZR5tQGM299pUMt2yeulbhdPnbxt92c1VweJx03NZ6yDzkB+DVFeEA8Ct9PgzuWqGGtuIjFTRhvQnP/swufxYhz0P6AB+Wht1DuS7LhEZWhQWRSRr8VgkATxbXF65AfiPeEdsHCLbWcZD248kDm1/YPRlty4aNecLXzWhglE5LHcwSAGP+jTWHLwzMvcBzJ8UGF9Wamb7NLaIDBJxx7b/fqvz8rPbU/vwtg+sAp5QExsRORtGHe5F5GwUl1cWALcD3wDayeyTy1ageNyoMYu/flP4vNmLhvHS1Bfraqq+6cdA1RXhfwdci7dEmB9cW3Dj1TND1/kxtogMDj1mE0cDRXgrGz7QslMROVuaWRSRsxKPRZLAC8XllRuB/wDMxptlzKpjqhtv7mxe9djLhdPnfzyMl6Y+6Mcg1RXhUXhBsR4gYDCXTQku9GNsEcm/HrOJe4DpQB3wQG3UOZjfykRkqFNYFJFzEo9F6orLK3+Mt1/uDrxjG7LufvrZ0tRbFo2as+gmEyoozlWtPjsCvOrTWJcCYTLLgavKQxeMLjBjfBpbRPJo+/H05rtWJ5fXd9hSvHNxlwJv1EadrN64ExHpjcKiiJyzeCziAC8Xl1duwtvLOBtvOWQy29do3/z6+viuNdvHLP76V8LnzV48DJamPlZXU5X2aaybgdbuT26YrcY2IsNd3LHtS7c6Lz23PbUXmAHsRbOJIjLAtGdRRAZUcXllGPgqcCeQBo4C/fqHpnD6/GmjL7359mDJuBk5KNEv8+pqqqK5HqS6IjwN+HsyjW2mlJhR932t6PvBgAnmemwR8Z9rrd101F37yzXJlQ1xOwYoBJbhzSZm1WxMRCRbmlkUkQGVmWVcXlxeuQ74N8AVeMc5tGT7GpmlqQ8Wz79uQfGFV9wUKCyZkKNyc+VDP4JixhVkzlUEuHNB6FIFRZHh6Wi7e+B3G5xXPzqYbsTrdLoHeLA26hzKc2kiMkwpLIpITsRjkePF5ZX3AAuA7+Ads3GEfixNjW9/b1s8+sGO0Zfdsqjo/MtuCIQLS3JU7kD7nR+DVFeEQ3izuMe7n7uiLLjIj7FFxD+dju1Yviv1xiMbnU3WOyJnCvAU8JZmE0UklxQWRSRn4rGIBbYWl1f+LV6ouYP+Lk110277xuXrOra/t7l04W1XFU6ruNoEQwU5K/rcdQDP+DRWBTAab+aWq2cGp00sDkzxaWwRybHuJaf/Ekm+faLTWrzzVHcBv9Nsooj4QWFRRHIuc8zGq8XllWuBfw18iX4uTbWJjmRr5Nl3g6WT1pUuvO16rwlOIJCjks/F0rqaqnafxroB6Or+5La5ITW2ERkmDre5+x7a4CyPHEofw5tNLAKeRLOJIuIjNbgREV8Vl1caPluaeh79XJraLTxp1oTRl918U3h82YIBLvFcfbmupur9XA9SXREeC9wNHATcUSGCj35r1H8vDJmiXI8tIrnTlrDNtVHn9We2prbjNa+ZxmeziYfzW52IjDQKiyKSF8XlnUMpmgAAFPxJREFUlQXATXhLU8ELje6Z7zi9whkXTy9ZcMNXQ6UTZw9geWdrZ11NVYUfA1VXhG8E/i2wH+CPLg1f8m8uCd/px9giMvCctE1+cCC96t61ydWdKVy8kAjesvZ3NZsoIvmgZagikheZpanLi8sr1wBfB67HW1JZTz+O2kgc3HoocXDrI0WzvzCr+KKrrguVTrogNxVn5SE/BqmuCBvgFqCp+7mrZ+psRZGhyFrL9gZ3471rk2/ta7HtwHhgHPA+8Gxt1GnMb4UiMpIpLIpIXsVjkRPAw8XllW8CfwB8Ae+A+RP9eZ2uug37uuo2PFY489IZJRXXXBcaO7k8B+X2Jg084tNYs4GpZM5WLJ8QGDt9jJnj09giMkAOtrp7nvzEeev9/enDeEtOZwOHgHtqo87OvBYnIoKWoYrIIJLZz1gO/CFwAV4TnNazea3C6fOnFc/78nWhsVPmGWMGsMozeqWupuprfgxUXRH+I7zmNocA/uqaguuvPT90gx9ji8i5O9Lm7n92u/P267vT+4AA3pJTF1gKvFcbdZy8FigikqGZRREZNDJHbewsLq/8CXA58G28d9rrgXh/XitxaPuRxKHtzxRMLZ9cMv+660LjyxaY3KZGv85WLAK+jPd7ggEunxJc6MfYInJu6jvcQy/sSK18eWdqd+apSXjH33QvOW06890iIv5TWBSRQScei7jAhuLyyi3AVXjHbUzCO5+xX51Tk0dj9cmjsWXhyRdMGr3g+i+HJsy4NAehsR54aYBf80wuwVuu5gDcNjc0p7TQjPNpbBE5Cyfi7tGXdqZWPrc91b20tASYjNfl9O7aqLP7zHeLiOSPwqKIDFrxWMQB3isur1wHfAWoxvt36wiZsJQtp35PQ1P9nufDE89/p2TB9VeHJ8283ARC4QEq9fG6miq/lo19FWjr/uQrc9TYRmSwauq0x1+NOSuXbk1tz2z6CQNleMvr7wHW1UadfneBFhHxi/YsisiQUVxeORbvuI3b8EJjv2cauwVGjSkqWXDDosKyii8FCkaNPcfSLqmrqdp6jq/Rp+qK8GSgBjgA2EnFpuj+rxd9PxQweuNPZBBp6bKNK3an3nnyE2eLa7F4+xKnZn59EXizNup05rVIEZEsKCyKyJBTXF5ZinfUxteAArxloF1n9WImYIorrplXNOvyK0OjJ5x/Fq+wpq6mqvKsxu6n6orw14Bv4YVF/mxx+ItVF4Wr/BhbRPrWlrDNb+5JvfvYZmdTysXibSueAhQBq/H2JTbktUgRkX7Qu9EiMuTEY5E24OXi8sqVeM1eqvF+IKsH+vduvXVtfMeq7fEdq7YXls2bOqr8yivDE2ZcYgKBYJav4FdjmyDeEtRPf9D80nQtQRUZDDqStnVlXWrVwxud9ck0Lp+FxFHAx8ALtVHnQF6LFBE5CwqLIjJkxWORDuC14vLK94CrgW/yWWjsV/dUgMThHUcTh3e8ECyd9EbJguu/WDBl7hWBcGFJL7d0Ak+dTe1n4SJgDLAf4EvTg1POKwmU+TS2iJzGibh79J269EfPbHW2dKVIZ54+D6/D6Sbg+dqoszd/FYqInBstQxWRYaO4vLIIr3vqN/GC1Qmg/WxfzwTDweL5111cNH3BF4Ojx888zSWP19VU/duzff3+qK4I/xmwEDgGsOSGwtsWTQv6svxVRD5jrWVfi935aiy1+rVdqboeX5oElAJbgeeA3bVRRz9kiciQprAoIsNOcXllAfAlvNA4EejAC45n/Q9eweQLziua84XrC6fPn2pMYGLm6RvraqreOdd6+1JdES4F7sbrApsuChF89Fuj/ltRyBTnemwR8aRc62w77m5autX5aPMx90SPL03Ae3MqBiwDdiokishwoWWoIjLsxGORJPB+cXnlamABcDswD++4jXog1d/XTNbvSSfr9zwx+c4f3oUXQquAdweu6l4twuuimAb4RkWoQkFRxB9xx7atOZRe+8RmZ92xDttzT/Q4YDywB7gP2K6QKCLDjWYWRWTYKy6vNMAM4EbgOrzgdZz+NcOZBfw6HousHfgKz6y6ImyAn+A1ymgF+OX/UfRHs8YF5vpZh8hI0+DtR1z99BZnS6ZpTbexeLOJB4ClwBadlSgiw5VmFkVk2IvHIhbvB7tHi8srX8Db11iF1wynBWjq4yXCeLOSn+SyzjM4H+8Q730Ac8aZ0pljzYV5qENk2OtlPyJ4s4jj8JaD/wLYpJAoIsOdwqKIjCjxWKQVWFFcXvk2cBneWY1z8M5prAdO98PfecCqeCxydmc5npur6LFs9lvzwwsDxpg81CEybCVStmt7g/vJsm1O5KT9iAFgMt45iXuBR/BCYvp0ryMiMtwoLIrIiBSPRRzg4+LyyvV4YfGrQCXe+WiNfL6Lahh43+8aqyvChcD1eEtmMcCiaTpbUWQguNbaQ612z4cH0huf3+HsiDuf28scxlt5EATWAiuAPdqTKCIjjcKiiIxomSWqe4D7i8srnwEWA7fi7VFM4u1rPAbU5aG8i4HCTB3cfGFw1phCMz4PdYgMG60J27j+SHrjizucTbubbOtJXy7GOwIjBbwOvFMbdep9L1JEZJAI5LsAEZHBIh6LtMRjkbeBv8ZrKrMa79y01zKh0m834R37AcDuRrdp9YHUqvakbclDLSJDlpO2ya316Y3//FHioT9+rvOXP1+dXHVSUByP9wZRGHgc+F5t1Fk61IOiMcYaY+7q8fl/N8YsyXy8xBhzyBizscdjnDFmgzFmYeaakDGmwxjzxz1e42NjzKIen082xuw1xkzt8dyvjTE/yHx8rTFmjTFmR+bxn3tc17OGbcaYb/f42sPGmD/IfDwhU9e/z8lvlIickWYWRUROEo9FXGA3sLu4vPJJvOY2vqquCJ8HzMdrzAPA7ibb+g/vJ9828Patc0NzbpwdXDh3QmB+OGjCftcnMthZaznabvd9dDC98dntztbWxCl/j7v3IxbirRx4GPikNur0+2idQSwB3GGM+QdrbcNpvn63tfZnPZ8wxnwIXA1sBC4HopnPHzfGlAAXAJu6r7fW1htj/hH4GfDHmSB5LbA4EyCfBL5prV1vjJkErDDGHLLWvtKzBmNMOfCxMWaZtfbTPytjzFi8ZcD3W2sfGoDfExHpB4VFEZFeZM5szIcvAjbz+BwLvLYrtfe1Xam9Ywt55Y754QWVM4ILp402s9T7Rka69qRt2XQ0vemlnamN2467p+t0PJL2I6aA+4HvAf8jy3s+wDub9td4IfE+4E8yX/sSsN5ae3KDn/uB7xhjbgT+N/BfrbWOMea/AA9ba9cDWGsbjDF/BSwBXun5AtbamDEmjjfL2z2jOxpYDjxprb03y/pFZAApLIqIDDLVFeEgcDNwoq9rWxIkH9robHxoo7Nx7oTAmFsuDM2/bEpg/tTR5nx1TZWRotOxHbsa3egHB9JbX9uV2uvaU95kMXghpBRvD/BI2o94D7DZGPPT03ztez2WmDZZa28EPsRbhg9eWPwR8G1jTGnm8w9OfhFrrWuM+b+At4Faa+17mS9djNdBtqd1mec/JzMjGbPW9vwz+TnwgLX27iz+O0UkBxQWRUQGn7l457nt789Nuxrd1l2NyQgQKSs1xbeXh+ZdPiU4f8YYMycYMMGcVCqSJ20J2xw94W7/YH9qx8q69IHTBESAUXhH3xi85ZRvAltqo04+jsHJC2ttqzHmUeAv8Rp29XTKMlRrbZ0xpiCzhHQe3u/bWrxu0VcDvzzDOBuNMVvwZiS7GU6zOuKk575njPlPeMtbbzvpureBbxhjfnZSiBQRnygsiogMPtfiLZE7a4fbbPyB9c56cNZPGGUKby8PXbR4WnD++WPNXO1xlKGqsdM9tu24u+PduvT2yKH0sTNcFsTbi1gANAPPAmtHyCzimfwCWA9ku+dvNfAHwBFrrTXGfARcg7cM9aNe7nP5/Fm1W/GW1Nf2eG4xsK3H5917Fu8AHjXGXGit7Q7zT+MdW/SqMeZGa21blvWLyABRWBQRGXzWArPxujOm8c5ZTJztizV22sTjm51PHt/sfDK6gNBtc0NzrygLzr9gfOCiwpApGpiSRQaea6091m4PbKl3d7y5J7Vje8Np9yB2GweMwfs78xFeyNhVG3VO3l834lhrG40xS4H/APwui1s+wNvn+HDm89XAPwFHrbXN/Rj6HiBijHkuM/M4EfhH4MenqfE5Y8x3gO8Av+nx/C+MMdOA540xt1tr87WPXGREUlgUERlkaqPO5uqK8CfAdLylXzcCU4EuoAHvh+Gz0p4ktWxbaseybakdBUECt1wYmnPljOD88gmBeaPCpmRA/gNEzkHatemDrXbvpmPp7St2paIHWm1HL5cX4S0zDQB7gWeAzbVRp7d7Rqq7gP960nM99yyC17W0Di8s3o0XErHWHjHGBPH2M2Ytc98fA7/N7Hk0wC+stS+d4ZYfA08aY3570uv8f8aYh4DHjDHftta6p79dRAaasXY4Nv8SERk+qivCIaACuA5vSVcAaAea+PySr7MWMJgrZwSnXlEWnDN3QmBOWamZpeWq4peWLntiX4tbt6U+vef13endjZ22t5n0IDAJLyi2A28BEeDoMO1oKiKSNwqLIiJDSHVFuBSvk+A1wAK84BgHGjmHGceTFQQJXHt+cPriacELLpwQmDOlxMxQkxwZKG0J27y/xa3b3uDuXbUvtXdvc5970cJ4ATGMdxzEemAVEB1m5yKKiAwqCosiIkNUdUV4NN6M41V4h2cH8Y4FaMD7gXrAjC4gdP2s0PmXTw3MuXB84IKJxWaajuaQbMUd23YgEw4/PJDeu6PBzWbfWxEwEe8NkQSwBu/YhVht1DnrPbwiIpI9hUURkWGguiJcBFyE163wCj6bgWnAC5ADauIoU3jD7ODsS6cE58weF5gzYZSZPNBjyNDVlbLxg61u3Y4Gd2/kYHrvpmNun2eGZpQAE/D2trXi7ZHbCOzRDKKIiP8UFkVEhpnqinAY76zGxcCVQDHe3sYGvCY5A27GGFNyRVlwevnEwLQZYwJlk0tMWXHYjM7FWDK4pF3rNnfZ+qPt9si+FvfIx4fT+9Ydduv78dPF2MzDAMfwuph+AhyojTpqZCIikkcKiyIiw1h1RTgIzAEW4p3fOCbzpdbMI2c/jM8aa0YvLguWzZ0QKMsEyGkKkENb2rXpxk577Gi7PVLX7B7Z3uAe+fhw+lhnql/7ZYN4x1x0d9/dhxcQtwLH1KRGRGTwUFgUERkhqivCAWAm3j7HRUB55ksWLzi2ZT7OmdnjTOniacGyuRMC06aPCZRNKTFlOrJjcEq5NnUibo8eyQTDbcfdI+uPpOuT6X6/wRDAmzksxfv/Kw3swOtgur026jQObOUiIjJQFBZFREaozD7HWXh7HRcD5+P9MO8CzYAvZ9XNGWdKF00Lls0cG5g0ucRMmDDKTBxbaCYUhylVD53cS7k21ZagqSVhmxri9sS+ZvfY1uPpIxuPusdT7lm9eRDAC4bds9gW2InXwXQ3cLA26jgDU72IiOSSwqKIiABQXREuwVuyOg8vPE7B+0E/hRceO/2sp7SA8LxJgfFzxgcmlpUGJihInr1k2ibbEraxqYvGhrjbWN9hmw602MZdjenGPU229Rx/EjB8Fg67/1D2AB8Du4D9tVFnwJssiYhI7iksiojIaVVXhMfhhceLgS8A4/HCQBJvyWoHOV62eianC5JjCs3Y4jAlo0KmpChE8Ug6FzLt2nRnivaOpG1r7rJNDXHbeLTdNu1vcRtjjW7jwVY7kLPEAWA0XjgMZJ6rAzbgzSDuq406OWmkJCIi/lJYFBGRPlVXhA3emXdz8JatVgDTM182gEOeA+TJJhWborJSU3JesSmZWGxKxhV5j9EF3qMkTMmosCkZFaKkIMiowTRTmXJtKpEinkjbzk6Hzq4UnXHHxtuTNt6SoKOp07af6HTbj7Xb9kNttqMhbnMVzoJ4wXB05mMX78/3AF7H0ihQVxt14jkaX0RE8khhUUREzkp1RbgAmAqUARcyBALkmYQDBM4rMUXFYRMqCpF5mFBhkFBB0AQLQ3R/HAoHCRUECYUDJhQOEgwHCIWDhILGBF2Lm3JtOuWSdlxSaZe049q0kybluKSdtPd5Mk0qmSbtpL2PE2nSybRNt3TZxPG47WxPko8zBYN4y0lH480Ydjej2YcXCvcCR4B6nXkoIjIyKCyKiMiAOSlAzsULkGWZL3cHyA4gDnkJROIJ44XCEj7bZ5jCC4Q78ALiEeB4bdTpz7EYIiIyjCgsiohITlVXhAvxAuQ0vAA5Gy9AFuEtazSZRwIvRHaiIDkQCvF+j0dlPu4+8sLg/R7X4c0YdgfDhtqok7NzN0VEZOhRWBQREd9l9kAWAxPw9kJOAmbgnQM5DQXJbBi8EDgq8wjjLRsFb0lpC14IPJh5NGYeTUBnbdTRDwAiItIrhUURERlUegTJiXhh8nRB0vLZPsgAXnBK4S1zTfb4NcUg3y95GkG84BcGCno8bI9Hd4huBA7jhcHD9AiEtVEn4XvlIiIyrCgsiojIkJEJkoV4e+1OfkzIPMYD44CxePvyLJ9fgtm9Ry/Q42v9efQMqd1Btb8fc9Jr0eOa7sZATXwW/k4ArUA73p7PdqBZjWZERCSXFBZFRGTYqq4IB/BmKXuGymIglHkU4IXPgiwe3deH8YJe90xmis9mMZ3TPHrOdPb8uJPPltZ++nFt1HFy87shIiLSPwqLIiIiIiIicopAvgsQERERERGRwUdhUURERERERE6hsCgiIiIiIiKnUFgUERERERGRUygsioiIiIiIyCkUFkVEREREROQUCosiIiIiIiJyCoVFEREREREROYXCooiIiIiIiJxCYVFEREREREROobAoIiIiIiIip1BYFBERERERkVMoLIqIiIiIiMgpFBZFRERERETkFAqLIiIiIiIicgqFRRERERERETmFwqKIiIiIiIicQmFRRERERERETqGwKCIiIiIiIqdQWBQREREREZFTKCyKiIiIiIjIKRQWRURERERE5BQKiyIiIiIiInIKhUURERERERE5hcKiiIiIiIiInEJhUURERERERE6hsCgiIiIiIiKnUFgUERERERGRUygsioiIiIiIyCkUFkVEREREROQUCosiIiIiIiJyCoVFEREREREROcX/DyYEl381MLTEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pie chart, where the slices will be ordered and plotted counter-clockwise:\n",
    "city_type = df.groupby('City').size().sort_values(ascending=False)\n",
    "explode = (0.1, 0, 0, 0, 0)  # only \"explode\" the 1st slice as it is the larger one\n",
    "fig1, ax1 = plt.subplots(figsize=(16, 12))\n",
    "ax1.pie(city_type.values[:5], explode=explode, labels=city_type.index[0:5], autopct='%1.1f%%',\n",
    "        shadow=True, startangle=90)\n",
    "ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "ax1.set_title(\"Pie Chart - Incidents by City\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "City\n",
      "BROOKLYN               118632\n",
      "NEW YORK                76636\n",
      "BRONX                   49046\n",
      "STATEN ISLAND           15326\n",
      "JAMAICA                  8920\n",
      "ASTORIA                  7974\n",
      "FLUSHING                 7481\n",
      "RIDGEWOOD                6388\n",
      "CORONA                   5382\n",
      "WOODSIDE                 4354\n",
      "EAST ELMHURST            3557\n",
      "OZONE PARK               3446\n",
      "ELMHURST                 3438\n",
      "SOUTH RICHMOND HILL      3430\n",
      "MASPETH                  3116\n",
      "WOODHAVEN                3102\n",
      "LONG ISLAND CITY         3019\n",
      "SOUTH OZONE PARK         2668\n",
      "FRESH MEADOWS            2449\n",
      "RICHMOND HILL            2333\n",
      "MIDDLE VILLAGE           2290\n",
      "QUEENS VILLAGE           2251\n",
      "FOREST HILLS             2120\n",
      "JACKSON HEIGHTS          2105\n",
      "REGO PARK                1805\n",
      "BAYSIDE                  1548\n",
      "COLLEGE POINT            1544\n",
      "FAR ROCKAWAY             1396\n",
      "WHITESTONE               1367\n",
      "HOLLIS                   1231\n",
      "HOWARD BEACH             1143\n",
      "SPRINGFIELD GARDENS      1094\n",
      "ROSEDALE                 1086\n",
      "SAINT ALBANS             1047\n",
      "KEW GARDENS              1008\n",
      "SUNNYSIDE                 944\n",
      "Astoria                   905\n",
      "ROCKAWAY PARK             829\n",
      "OAKLAND GARDENS           715\n",
      "LITTLE NECK               712\n",
      "CAMBRIA HEIGHTS           617\n",
      "BELLEROSE                 487\n",
      "GLEN OAKS                 361\n",
      "ARVERNE                   258\n",
      "FLORAL PARK               196\n",
      "Long Island City          170\n",
      "Woodside                  166\n",
      "NEW HYDE PARK             129\n",
      "CENTRAL PARK              110\n",
      "QUEENS                     36\n",
      "BREEZY POINT               31\n",
      "East Elmhurst              30\n",
      "Howard Beach                1\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Printing the Table of Complaint / Borough\n",
    "print(df.groupby([\"City\"]).size().sort_values(ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# By year and Week\n",
    "plt.figure(figsize=(16,12))\n",
    "plt.title(\"Incidents by Year / Week - Closed Date\")\n",
    "plot = sns.countplot(x = \"yyyywk\",data=df,order=df['yyyywk'].value_counts(ascending=True).index)\n",
    "plot.set_xticklabels(plot.get_xticklabels(), rotation=40)\n",
    "plt.grid(True, which=\"both\", axis=\"y\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "yyyywk\n",
      "20150    58198\n",
      "20156    57425\n",
      "20155    51528\n",
      "20154    49404\n",
      "20151    48246\n",
      "20153    47803\n",
      "20152    47702\n",
      "20165      122\n",
      "20160        1\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Printing the Table of Year / Week\n",
    "print(df.groupby([\"yyyywk\"]).size().sort_values(ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8vqpWt9Y2DSszPyHJ54Yh5yd5UVWtz2jBq28O/T6S5LVVtXLo9+gkv9tau7mqbqmqhyf5VJLnJHnLtI4HAABmxYZ33bDcJUzN3LMOXu4S6NQ0L3teneSs4b7fuyR5b2vtgqr66yEYV5Irk/z60P+iJI9NsjHJd5L8SpIMIffVST499HvV9sWvkvxGkjOT3D2jha4sdgUAAMAdTHO1588kefA87Y/cSf+W5IU72XZGkjPmab88yYN+uEoBAADo3R655xcAAACW01RXewYAgEl403nXL3cJU/PbT7z3cpcAdwpmfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7lntGQBgxhx37mXLXcLUnHvckctdAnAnZeYXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdG/f5S4AALhz+6VzzlvuEqbmg09+4nKXAMDAzC8AAADdE34BAADonvALAABA94RfAAAAuif8AgAA0D3hFwAAgO4JvwAAAHRP+AUAAKB7wi8AAADdE34BAADonvALAABA94RfAAAAuif8AgAA0D3hFwAAgO4JvwAAAHRP+AUAAKB7wi8AAADdE34BAADonvALAABA94RfAAAAuif8AgAA0D3hFwAAgO4JvwAAAHRP+AUAAKB7wi8AAADdE34BAADonvALAABA94RfAAAAurfvchcAAHc2jzv3tOUuYWouPO5Xl7sEAJiXmV8AAAC6J/wCAADQPeEXAACA7rnnF4Cpeuz7X7bcJUzNRU947XKXAAAskJlfAAAAuje18FtVd6uqy6rqH6rqqqr6g6H9flX1qaq6pqreU1V3Hdp/ZHi9cdh++Ni+fndo/0JVPWas/eihbWNVvXRaxwIAAMDebZozv99N8sjW2n9MckSSo6vq4Ulen+TNrbW1SbYkef7Q//lJtrTW1iR589AvVfWAJE9L8sAkRyd5e1XtU1X7JHlbkmOSPCDJ04e+AAAAcDtTC79t5Nbh5X7DoyV5ZJJzhvazkjxheH7s8DrD9l+sqhra17fWvtta+3KSjUmOHB4bW2tfaq19L8n6oS8AAADczlQXvBpmZ69IsiajWdovJtnaWts2dLk2yaHD80OTfC1JWmvbquqbSQ4c2j85ttvxMV/bof1hO6njxCQnJsmqVauyYcOGH+q4AFi4J+WBy13C1Cz1vydP3GflZAuZIUs5J8fuU5MvZEYs9Tvy2H2+M9lCZshSz8mhtW33nfZSGzb846LH3HqPns/H0iLKbfe9bcKVzI4vbPjCksZtu/etu++0l7p6Cf9fMtXw21r7fpIjqmpFkvOS/NR83Yaf8/2Xr+2ifb5Z6zZPW1prpyY5NUnWrVvX5ubmdl04ABNzcs+rPc89c0nj3nDuaROuZHZcOPfkRY954znnTaGS2fDBJf6b4y3nXjbZQmbIuXNHLmncm867fsKVzI7j5+696DEb3nXDFCqZDXNPOnhJ4zadvGnClcyO1cevXtK4zadcOuFKZseqpz5i0WP2yGrPrbWtSTYkeXiSFVW1PXQfluS64fm1Se6TJMP2H0ty83j7DmN21g4AAAC3M83Vng8eZnxTVXdP8qgkVyf5WJLtvxY+IckHhufnD68zbP/r1lob2p82rAZ9vyRrk1yW5NNJ1g6rR981o0Wxzp/W8QAAALD3muZlz6uTnDXc93uXJO9trV1QVZ9Psr6qXpPk75OcPvQ/PcmfV9XGjGZ8n5YkrbWrquq9ST6fZFuSFw6XU6eqXpTkI0n2SXJGa+2qKR4PAAAAe6mphd/W2meSPHie9i9ltFLzju3/muQpO9nXSUlOmqf9oiQX/dDFAgAA0LU9cs8vAAAALCfhFwAAgO4JvwAAAHRP+AUAAKB7wi8AAADdE34BAADonvALAABA94RfAAAAuif8AgAA0D3hFwAAgO4JvwAAAHRP+AUAAKB7wi8AAADdE34BAADonvALAABA94RfAAAAuif8AgAA0D3hFwAAgO4JvwAAAHRP+AUAAKB7wi8AAADdE34BAADonvALAABA94RfAAAAuif8AgAA0D3hFwAAgO4JvwAAAHRP+AUAAKB7wi8AAADdE34BAADonvALAABA94RfAAAAuif8AgAA0D3hFwAAgO4JvwAAAHRP+AUAAKB7wi8AAADdE34BAADonvALAABA94RfAAAAuif8AgAA0D3hFwAAgO4JvwAAAHRP+AUAAKB7wi8AAADdE34BAADonvALAABA9/Zd7gIAevLy9x293CVMzUlP+fBylwAAsGRmfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQvX2XuwBg73bmWY9e7hKm5rknfHS5SwAAYEKmNvNbVfepqo9V1dVVdVVV/ebQ/sqq+npVXTk8Hjs25neramNVfaGqHjPWfvTQtrGqXjrWfr+q+lRVXVNV76mqu07reAAAANh7TfOy521JXtxa+6kkD0/ywqp6wLDtza21I4bHRUkybHtakgcmOTrJ26tqn6raJ8nbkhyT5AFJnj62n9cP+1qbZEuS50/xeAAAANhLTS38ttY2tdb+bnh+S5Krkxy6iyHHJlnfWvtua+3LSTYmOXJ4bGytfam19r0k65McW1WV5JFJzhnGn5XkCdM5GgAAAPZme2TBq6o6PMmDk3xqaHpRVX2mqs6oqpVD26FJvjY27NqhbWftBybZ2lrbtkM7AAAA3E611qb7BlX7J/mbJCe11v6qqlYluTFJS/LqJKtba8+rqrcl+URr7V3DuNOTXJRRQH9Ma+0FQ/uzM5oNftXQf83Qfp8kF7XW/sM8NZyY5MQkWbVq1UPXr18/1WOGO5ObbrpmuUuYmgMPXLvoMddt6fd8HLJy8ecjSTZu/fqEK5kda1Ys7XeuG7feOOFKZseaFQcteszGLVunUMlsWLNyxZLGfXHrdyZcyey4/4p7LGnc5q3bdt9pL7VqxeLXoL315n7Px/4HLG1N3ts23zbhSmbHfqv2W9K4bd+4dcKVzI59f3z/nW476qijrmitrbvDmGkWVFX7JTk3yV+01v4qSVprm8e2n5bkguHltUnuMzb8sCTXDc/na78xyYqq2neY/R3vfzuttVOTnJok69ata3Nzcz/cgQH/5syzXrvcJUzNccctfrXnl7/vdVOoZDY8Y+7DSxp38vtfNuFKZsdFc89c0rg3nHvahCuZHRfOPXnRY954znlTqGQ2fHCJ/+Z4y7mXTbaQGXLu3JFLGvem866fcCWz4/i5ey96zIZ33TCFSmbD3JMOXtK4TSdvmnAls2P18auXNG7zKZdOuJLZseqpj1j0mGmu9lxJTk9ydWvtTWPt45/cE5N8bnh+fpKnVdWPVNX9kqxNclmSTydZO6zsfNeMFsU6v42mrD+WZPt/ZU9I8oFpHQ8AAAB7r2nO/P5ckmcn+WxVXTm0vSyj1ZqPyOiy568k+bUkaa1dVVXvTfL5jFaKfmFr7ftJUlUvSvKRJPskOaO1dtWwv5ckWV9Vr0ny9xmFbQAAALidqYXf1tqlSWqeTRftYsxJSU6ap/2i+ca11r6U0f2/AAAAsFN7ZLVnAAAAWE7CLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdG/f5S4A9iYfe+fjlruEqTnqBRcudwkAADA1Zn4BAADonvALAABA94RfAAAAuif8AgAA0D3hFwAAgO5NLfxW1X2q6mNVdXVVXVVVvzm0H1BVF1fVNcPPlUN7VdUpVbWxqj5TVQ8Z29cJQ/9rquqEsfaHVtVnhzGnVFVN63gAAADYe01z5ndbkhe31n4qycOTvLCqHpDkpUkuaa2tTXLJ8DpJjkmydnicmOQdySgsJ3lFkoclOTLJK7YH5qHPiWPjjp7i8QAAALCXmlr4ba1taq393fD8liRXJzk0ybFJzhq6nZXkCcPzY5Oc3UY+mWRFVa1O8pgkF7fWbm6tbUlycZKjh233aq19orXWkpw9ti8AAAD4NzXKjVN+k6rDk3w8yYOS/HNrbcXYti2ttZVVdUGS17XWLh3aL0nykiRzSe7WWnvN0P57Sf4lyYah/6OG9p9P8pLW2uPnef8TM5ohzqpVqx66fv366Rwo3bvlxo3LXcLU3POgNUsad9NN10y4ktlx4IFrFz3mui39no9DVi7+fCTJxq1fn3Als2PNikOXNG7j1hsnXMnsWLPioEWP2bhl6xQqmQ1rVq7Yfad5fHHrdyZcyey4/4p7LGnc5q3bJlzJ7Fi1Yt9Fj7n15n7Px/4HLP58JMltm2+bcCWzY79V+y1p3LZv3DrhSmbHvj++/063HXXUUVe01tbdYcxUK0pSVfsnOTfJb7XWvrWL23Ln29CW0H7HxtZOTXJqkqxbt67Nzc3tpmqY38fe+YblLmFq5p584ZLGnXnWaydcyew47riPLnrMy9/3uilUMhueMffhJY07+f0vm3Als+OiuWcuadwbzj1twpXMjgvnnrzoMW8857wpVDIbPrjEf3O85dzLJlvIDDl37sgljXvTeddPuJLZcfzcvRc9ZsO7bphCJbNh7kkHL2ncppM3TbiS2bH6+NVLGrf5lEsnXMnsWPXURyx6zFTDb1Xtl1Hw/YvW2l8NzZuranVrbdNw6fI3hvZrk9xnbPhhSa4b2ud2aN8wtB82T38m5Nq3Pm+5S5iaw150xnKXAAAA7EHTXO25kpye5OrW2pvGNp2fZPuKzSck+cBY+3OGVZ8fnuSbrbVNST6S5NFVtXJY6OrRST4ybLulqh4+vNdzxvYFAAAA/2aaM78/l+TZST5bVVcObS9L8rok762q5yf55yRPGbZdlOSxSTYm+U6SX0mS1trNVfXqJJ8e+r2qtXbz8Pw3kpyZ5O5JPjQ8AAAA4HamFn6Hhat2doPvL87TvyV54U72dUaSO1yn2lq7PKNFtAAAAGCnpvl3fgEAAGAmCL8AAAB0b0Hhd/ibu7ttAwAAgFm0y3t+q+puSe6R5KBhpeXt9/DeK8khU64NAAAAJmJ3C179WpLfyijoXpEfhN9vJXnbFOsCAACAidll+G2t/XGSP66q/6e19pY9VBMAAABM1IL+1FFr7S1V9bNJDh8f01o7e0p1AQAAwMQsKPxW1Z8nuX+SK5N8f2huSYRfAFNrtLMAACAASURBVAAAZt6Cwm+SdUke0Fpr0ywGAAAApmGhf+f3c0nuPc1CAAAAYFoWOvN7UJLPV9VlSb67vbG19stTqQoAAAAmaKHh95XTLAIAAACmaaGrPf/NtAsBAACAaVnoas+3ZLS6c5LcNcl+Sb7dWrvXtAoDAACASVnozO89x19X1ROSHDmVigAAAGDCFrra8+201t6f5JETrgUAAACmYqGXPT9p7OVdMvq7v/7mLwAAAHuFha72/Etjz7cl+UqSYydeDQAAAEzBQu/5/ZVpFwIAAADTsqB7fqvqsKo6r6q+UVWbq+rcqjps2sUBAADAJCx0was/S3J+kkOSHJrkg0MbAAAAzLyFht+DW2t/1lrbNjzOTHLwFOsCAACAiVlo+L2xqp5VVfsMj2cluWmahQEAAMCkLDT8Pi/JU5Ncn2RTkicnsQgWAAAAe4WF/qmjVyc5obW2JUmq6oAkf5hRKAYAAICZttCZ35/eHnyTpLV2c5IHT6ckAAAAmKyFht+7VNXK7S+Gmd+FzhoDAADAslpogH1jkv9VVeckaRnd/3vS1KoCAACACVpQ+G2tnV1Vlyd5ZJJK8qTW2uenWhkAAABMyIIvXR7CrsALAADAXmeh9/wCAADAXkv4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQvamF36o6o6q+UVWfG2t7ZVV9vaquHB6PHdv2u1W1saq+UFWPGWs/emjbWFUvHWu/X1V9qqquqar3VNVdp3UsAAAA7N2mOfN7ZpKj52l/c2vtiOFxUZJU1QOSPC3JA4cxb6+qfapqnyRvS3JMkgckefrQN0leP+xrbZItSZ4/xWMBAABgLza18Nta+3iSmxfY/dgk61tr322tfTnJxiRHDo+NrbUvtda+l2R9kmOrqpI8Msk5w/izkjxhogcAAABAN6q1Nr2dVx2e5ILW2oOG169M8twk30pyeZIXt9a2VNVbk3yytfauod/pST407Obo1toLhvZnJ3lYklcO/dcM7fdJ8qHt7zNPHScmOTFJVq1a9dD169dP+lC7dNsNX13uEqZmv4Pvu6Rxt9y4ccKVzI57HrRmSeNuuumaCVcyOw48cO2ix1y3pd/zccjKxZ+PJNm49esTrmR2rFlx6JLGbdx644QrmR1rVhy06DEbt2ydQiWzYc3KFUsa98Wt35lwJbPj/ivusaRxm7dum3Als2PVin0XPebWm/s9H/sfsPjzkSS3bb5twpXMjv1W7bekcdu+ceuEK5kd+/74/jvddtRRR13RWlt3hzFTreiO3pHk1Una8PONSZ6XpObp2zL/zHTbRf95tdZOTXJqkqxbt67Nzc0tqug7q2vf+rzlLmFqDnvKGUsa97F3vmHClcyOuSdfuKRxZ5712glXMjuOO+6jix7z8ve9bgqVzIZnzH14SeNOfv/LJlzJ7Lho7plLGveGc0+bcCWz48K5Jy96zBvPOW8KlcyGDy7x3xxvOfeyyRYyQ86dO3JJ49503vUTrmR2HD9370WP2fCuG6ZQyWyYe9LBSxq36eRNE65kdqw+fvWSxm0+5dIJVzI7Vj31EYses0fDb2tt8/bnVXVakguGl9cmuc9Y18OSXDc8n6/9xiQrqmrf1tq2HfoDAADA7ezRP3VUVeO/snhiku0rQZ+f5GlV9SNVdb8ka5NcluTTSdYOKzvfNaNFsc5vo2u1P5Zk+6+XT0jygT1xDAAAAOx9pjbzW1XvTjKX5KCqujbJK5LMVdURGV2i/JUkv5YkrbWrquq9ST6fZFuSF7bWvj/s50VJPpJknyRntNauGt7iJUnWV9Vrkvx9ktOndSwAAADs3aYWfltrT5+neacBtbV2UpKT5mm/KMlF87R/KaPVoAEAAGCX9uhlzwAAALAchF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHvCLwAAAN0TfgEAAOie8AsAAED3hF8AAAC6J/wCAADQPeEXAACA7gm/AAAAdE/4BQAAoHtTC79VdUZVfaOqPjfWdkBVXVxV1ww/Vw7tVVWnVNXGqvpMVT1kbMwJQ/9rquqEsfaHVtVnhzGnVFVN61gAAADYu01z5vfMJEfv0PbSJJe01tYmuWR4nSTHJFk7PE5M8o5kFJaTvCLJw5IcmeQV2wPz0OfEsXE7vhcAAAAkmWL4ba19PMnNOzQfm+Ss4flZSZ4w1n52G/lkkhVVtTrJY5Jc3Fq7ubW2JcnFSY4ett2rtfaJ1lpLcvbYvgAAAOB2apQdp7TzqsOTXNBae9DwemtrbcXY9i2ttZVVdUGS17XWLh3aL0nykiRzSe7WWnvN0P57Sf4lyYah/6OG9p9P8pLW2uN3UseJGc0SZ9WqVQ9dv3795A+2Q7fd8NXlLmFq9jv4vksad8uNGydcyey450FrljTuppuumXAls+PAA9cuesx1W/o9H4esXPz5SJKNW78+4Upmx5oVhy5p3MatN064ktmxZsVBix6zccvWKVQyG9asXLH7TvP44tbvTLiS2XH/FfdY0rjNW7dNuJLZsWrFvosec+vN/Z6P/Q9Y/PlIkts23zbhSmbHfqv2W9K4bd+4dcKVzI59f3z/nW476qijrmitrbvDmKlWtHDz3a/bltA+r9baqUlOTZJ169a1ubm5JZR453PtW5+33CVMzWFPOWNJ4z72zjdMuJLZMffkC5c07syzXjvhSmbHccd9dNFjXv6+102hktnwjLkPL2ncye9/2YQrmR0XzT1zSePecO5pE65kdlw49+RFj3njOedNoZLZ8MEl/pvjLedeNtlCZsi5c0cuadybzrt+wpXMjuPn7r3oMRvedcMUKpkNc086eEnjNp28acKVzI7Vx69e0rjNp1w64Upmx6qnPmLRY/b0as+bh0uWM/z8xtB+bZL7jPU7LMl1u2k/bJ52AAAAuIM9HX7PT7J9xeYTknxgrP05w6rPD0/yzdbapiQfSfLoqlo5LHT16CQfGbbdUlUPH1Z5fs7YvgAAAOB2pnbZc1W9O6N7dg+qqmszWrX5dUneW1XPT/LPSZ4ydL8oyWOTbEzynSS/kiSttZur6tVJPj30e1VrbfsiWr+R0YrSd0/yoeEBAAAAdzC18Ntae/pONv3iPH1bkhfuZD9nJLnDDZqttcuTPOiHqREAAIA7hz192TMAAADsccIvAAAA3RN+AQAA6J7wCwAAQPeEXwAAALon/AIAANA94RcAAIDuCb8AAAB0T/gFAACge8IvAAAA3RN+AQAA6J7wCwAAQPeEXwAAALon/AIAANA94RcAAIDuCb8AAAB0T/gFAACge8IvAAAA3RN+AQAA6J7wCwAAQPeEXwAAALon/AIAANA94RcAAIDuCb8AAAB0T/gFAACge8IvAAAA3RN+AQAA6J7wCwAAQPeEXwAAALon/AIAANA94RcAAIDuCb8AAAB0T/gFAACge8IvAAAA3RN+AQAA6J7wCwAAQPeEXwAAALon/AIAANA94RcAAIDuCb8AAAB0T/gFAACge8IvAAAA3RN+AQAA6J7wCwAAQPeEXwAAALon/AIAANA94RcAAIDuCb8AAAB0T/gFAACge8IvAAAA3RN+AQAA6J7wCwAAQPeEXwAAALon/AIAANA94RcAAIDuCb8AAAB0T/gFAACge8IvAAAA3RN+AQAA6J7wCwAAQPeEXwAAALon/AIAANA94RcAAIDuCb8AAAB0T/gFAACge8IvAAAA3RN+AQAA6J7wCwAAQPeEXwAAALon/AIAANA94RcAAIDuCb8AAAB0T/gFAACge8IvAAAA3RN+AQAA6J7wCwAAQPeEXwAAALq3LOG3qr5SVZ+tqiur6vKh7YCquriqrhl+rhzaq6pOqaqNVfWZqnrI2H5OGPpfU1UnLMexAAAAMPuWc+b3qNbaEa21dcPrlya5pLW2Nsklw+skOSbJ2uFxYpJ3JKOwnOQVSR6W5Mgkr9gemAEAAGDcLF32fGySs4bnZyV5wlj72W3kk0lWVNXqJI9JcnFr7ebW2pYkFyc5ek8XDQAAwOyr1tqef9OqLyfZkqQl+dPW2qlVtbW1tmKsz5bW2sqquiDJ61prlw7tlyR5SZK5JHdrrb1maP+9JP/SWvvDed7vxIxmjbNq1aqHrl+/froH2InbbvjqcpcwNfsdfN8ljbvlxo0TrmR23POgNUsad9NN10y4ktlx4IFrFz3mui39no9DVi7+fCTJxq1fn3Als2PNikOXNG7j1hsnXMnsWLPioEWP2bhl6xQqmQ1rVq7Yfaf/096dh0tS1/cef39gBmRVZBlAFOXKogEFRSTX5Q5RiFEUVEAERcVck9x4ryb3Jq4JLsEYF4h7QEQSERWDKApoEh9FFKMILgiocHFDEAVFUES2b/6oOtp96owyhzldPdXv1/OcZ7qqq898z+fprqpv1a+qF/D/r79pDVcyPf7bPTZc1Ouuuf62NVzJ9Fhxj2Wr/Zqf/2S4eWx8z9XPA+DWa25dw5VMj+Urli/qdbf96OdruJLpsWyrjVf53D777HPByAjj37xmSStatUdU1VVJtgL+Pck3fsuyWWBe/Zb53ZlVxwPHA+y55561cuXK1Sx3Nl351iP7LmHJbHfwiYt63adOeP0armR6rDzozEW97qR/fs0armR6PPWp/7bar3nZB1+7BJVMh8NWfnxRr3vdh1+6hiuZHmetPHxRr3v9ae9cw5VMjzNXHrTar3njv56+BJVMh48ucp/jLad9cc0WMkVOW7nXol53zOk/XMOVTI+nrdx6tV/z6ZN/vASVTIeVT9lyUa+7+nVXr+FKpsc2T9tmUa+75s2fXcOVTI8VhzxytV/Ty7Dnqrqq/fdHwOk01+xe0w5npv33R+3iVwL3Hnn5dsBVv2W+JEmSJEljJt78JtkoySZzj4H9gK8DZwBzd2x+FvCR9vEZwBHtXZ/3Bn5WVVcDnwD2S7JZe6Or/dp5kiRJkiSN6WPY8wrg9CRz//8pVfXxJOcDpyZ5LvA94OB2+bOAxwOXAzcBzwGoqp8keTVwfrvcq6rqJ5P7MyRJkiRJa4uJN79VdQXw4AXmXwc8ZoH5Bfz5Kn7XicDiLt6UJEmSJM2MafqqI0mSJEmSloTNryRJkiRp8Gx+JUmSJEmDZ/MrSZIkSRo8m19JkiRJ0uDZ/EqSJEmSBs/mV5IkSZI0eDa/kiRJkqTBs/mVJEmSJA2eza8kSZIkafBsfiVJkiRJg2fzK0mSJEkaPJtfSZIkSdLg2fxKkiRJkgbP5leSJEmSNHg2v5IkSZKkwbP5lSRJkiQNns2vJEmSJGnwbH4lSZIkSYNn8ytJkiRJGjybX0mSJEnS4Nn8SpIkSZIGz+ZXkiRJkjR4Nr+SJEmSpMGz+ZUkSZIkDZ7NryRJkiRp8Gx+JUmSJEmDZ/MrSZIkSRo8m19JkiRJ0uDZ/EqSJEmSBs/mV5IkSZI0eDa/kiRJkqTBs/mVJEmSJA2eza8kSZIkafBsfiVJkiRJg2fzK0mSJEkaPJtfSZIkSdLg2fxKkiRJkgbP5leSJEmSNHg2v5IkSZKkwbP5lSRJkiQNns2vJEmSJGnwbH4lSZIkSYNn8ytJkiRJGjybX0mSJEnS4Nn8SpIkSZIGz+ZXkiRJkjR4Nr+SJEmSpMGz+ZUkSZIkDZ7NryRJkiRp8Gx+JUmSJEmDZ/MrSZIkSRo8m19JkiRJ0uDZ/EqSJEmSBs/mV5IkSZI0eDa/kiRJkqTBs/mVJEmSJA2eza8kSZIkafBsfiVJkiRJg2fzK0mSJEkaPJtfSZIkSdLg2fxKkiRJkgbP5leSJEmSNHg2v5IkSZKkwbP5lSRJkiQNns2vJEmSJGnwbH4lSZIkSYNn8ytJkiRJGjybX0mSJEnS4Nn8SpIkSZIGz+ZXkiRJkjR4Nr+SJEmSpMGz+ZUkSZIkDZ7NryRJkiRp8Gx+JUmSJEmDZ/MrSZIkSRo8m19JkiRJ0uDZ/EqSJEmSBm+tb36TPC7JN5NcnuTFfdcjSZIkSZo+y/ou4K5Isi7wNmBf4Erg/CRnVNUli/l9P37HyWuyvKmy5Z89o+8SJEmSJKk3a/uZ372Ay6vqiqq6BXg/cEDPNUmSJEmSpkyqqu8aFi3JQcDjquqP2+lnAg+vqufPW+55wPPayZ2Bb0600IVtAVzbdxFTxkzGmUeXmXSZyTjz6DKTLjMZZx5dZtJlJuPMo2uaMtm+qracP3OtHvYMZIF5nW6+qo4Hjl/6cu68JF+qqj37rmOamMk48+gyky4zGWceXWbSZSbjzKPLTLrMZJx5dK0Nmaztw56vBO49Mr0dcFVPtUiSJEmSptTa3vyeD+yY5H5J1gMOBc7ouSZJkiRJ0pRZq4c9V9VtSZ4PfAJYFzixqi7uuaw7a6qGYU8JMxlnHl1m0mUm48yjy0y6zGSceXSZSZeZjDOPrqnPZK2+4ZUkSZIkSXfG2j7sWZIkSZKk38nmV5IkSZI0eDa/kiRJkqTBs/mdUkmWJUn7eKHvM545ZtKVZMMk2ybZop2e6c90ko2S3D/Jtu30TOcBkGTTJI9LslHftUyD9j2yS5J7t9O+R5LlczmYRyPJxkl2TbJd37VMi3Zd8p9JDm6nZ3o7nGSTJPskeUA7PfOfnfY98v4ku/Rdy7RotznbJLlnOz3rn5tNk/zl3H5rH2b+gzqNkuwOvA94MkB5VzIzWUCS3YBPA/8AfDLJzlV1x6yuWJPsCpwDvBj4/FwePZc1Dd4AvBlYmWT9vovpU/seORd4KfDlJLvP8mcGfr1uPRt4IcCs5wHQ7rh/A3gRcG6S/ZPco+eyetV+dk4DAhycZJNZ3g4neSBwHvAc4EtJdpv17U2SHYDPAt8HLh+ZP7Prk5H3ycuAM5LsOeOfm11ptjd3q6pr+6rD5nfKtGcjTgZWAA9JsrLfivpnJl1JHgS8H3hTVT2zfXxsknVnccXa5nEq8Naq+mPgg8BDRp6f2Y0vcBXwA2Al8Ih+S+lPkp2BU4B/rKojgKOBdyVZNoufGYAkK4ATgOuBeyc5HGb74GKSdYHDgWPadetLgMOAJyTZtNfiepLk92k+OycBBwG/ADZqn5u5dWuSTYA3AW9v1yWvAx46i1nM8wDgQ1X1V+1Xka5Ist6srk+SbAy8EXhzVT0feA/wsSSPnsX3SpKdgM8DH6iq1yzw/MQysfmdPjcAfwocAdwK7NcemZ9lZtK1MfDKqnpvO3068OOqur3Hmvp0B/DMqjqp3XndF9g7yRuSrFNVNWsbm5G/91yagyM303x2dk2ye5vTrHl5Vf1L+/idNGcnZup9MaqqrgH+F81Z36/SjA7Yt9+q+tWuQ38F7NROvx/4GLAPMFPbnZF1yD2BZ1fVe6vq+zRNzvNgNg+UVNWNwMXAT5MsAw4AHgN8JMn2vRbXr+2AnZKsk+SDwNuAs9pmb3nPtfXhl8B3gK8BVNVxwBU069y791dWb26m2RfZtH2PvD3JMUneO+n9NJvfKZHkwUk2qKqfVdVnq+o7NGey1gGemGTHfiucPDPpapuW5VV1HvCJkWuMfgHskWTzHsubuDaP9arq61V1QZINgb8CLqA5Mn9f4AMwOztpSR7Ufm7m/t4VwAOq6m+AzYH/AI6YlQMlIxvTy4DPjTy1LvBgYNuJF9WzeTsYF1TVlcDHgYuAg5I8dIHlZsk5wA1J9gKoqlNohnL+z16rmrwHtyMjzqyqC5Ns0M7/a5pRWPfps7hJm1u3tpPfAx4PfAn4Ms3w56uBv++pvF60mczdT+Js4Brg9cBlVXUQzWfp2cAm/VQ4eSPb4NuB24EDk6xM8mzgEmBDoHPmc6jaffn1q+p7NJ+P3YAbaQ4yvhvYjGZkycT205ZN4j/RqiW5G811NJsC30hyZVW9EqCqLk1yJvBU4BHtSnf3kTMXg2QmXQtk8v2qelX73LrA3YBbq+q6JNsAe1XVR/qreGnNy+PSJFdV1Suq6qYkJ7c78yQ5DDg/yf2q6tt91rzUFsjk6qo6imZUwA5J7gc8Cvgh8M0kW1bVj/ureGm1B0JOoRnafHZV3QZc1z63LrAe8Iuq+m6SrYH9ZmA9MprJWVV1+9xBkKr6YZJP0JyROLA9sLZ3kuOq6pYey15So5kAZ7V5XEpzf4nHJPl5VV1SVa9M8qUkO1bVZX3WvNRWtS6pql+2i/yY5izO3NDndYZ8veu8PL6V5JKqemM7/1jgXe365U+SfCXJQ6rqwj5rXmoLvEe+W1VHJ/klzSU27wSoqlcnOQfYFfhMX/VOwgLvk68C/xc4imbk4or232XA0e3Z8NuGemB+gf3W71bV3yU5BvhkVR3fLncA8MUk21fVdydRm2d++/dC4PqqehTwj8BTkhw192RVnUuzYX4yzVj5+/dS5WS9ADOZb34mT53LpN1Z+ynNymMP4CzaIXsDNprHm4AnJ5k7QHLlyHIPozkSff3kS5y4+Zkc2L5HbqU58n4e8ArgGTRD9Lbup8yl156JOA7Yg+aMzK6jz7efmZ8AX0myD81nZptJ1zlJC2Sy28hzAaiqb9LstO5Ec5Z8i4E3vp1M2kbuWpozEvcCDm3P2jyA5izOjb0VPDmrWpcAzUFo4Cbg1e30YBvf1mgexwDPSvLKqrqZ5kDADkk2SHNN483M5vbm0CQvpNnGXALsmmTvdhj4+sxeJsfSXBrw51X10vbxAVV1HfBoYHlV3TrUxrc1f7/1kCQvr6ovACeOLPdw4FrgZ5MqzDO/PUlzY6LbgSuB2wCq6uIkT6Q5U3VpVZ3aLr4TsB/w9Kr6cD8VT9QPaHYyzOQ3flcmWwB/QnNd2l9X1Rn9lToRq8rj4qo6Nc0NSZ5Ec7fWo6rqpz3WOikLZXIB8Ema5nfdqjoHIMlfzjtIMDTrA++tqme2B0VelOSl887+b0XT8Dwa+Iuq+lgfhU7QKjNpr7WaO3v3GOAJwCEzsG7tZEJzV9YrquqiJMfRHEB7Fc1IgbdV1Q/7K3di7sw2+Fjg5UlWVHPt+JDNz2N/mjs8nwf8G8175mCa/ZLXVNUVvVU6OfMzeQLN9uYbNJcePYnmrvr3AN5SVV/rq9AJGs3k60keT/M+ubqq3pfmK+WeC/wtzXW/Q7fQ5+b8JN9q99OWA4fQfEPHUVU1uQMkVeXPhH+AI4E/bB/vT3PNyAYjz+/bztu2nX4K8LC+617iTA4DNm0fP9FMViuT7Wg2umcCD+y77inIYwXwezQ329i977p7zuRxwPnA1u30sr5rnkAed28fbzQy/100Zye2HZl3d5q7b+7ad93Tkkk7fx9gz77r7jmTe81bfmtg877rnkAmq7MN3gLYqu+6e8zjD9t160Y095Z4BLBj33VPSSZz25vN/dz8+nOzDbABzUmKh/Rd95TksQPN3bAnvp/We1Cz9gO8Fvg68ECaMzHQDK86d95y7wB27rveCWVyNM2dRu81Mu9E4DNmcqcyuX/7+G591z1leSzvu+4pymSXvuudYB6jDe7cOnYT4KM0w7A2AP4fzcinoR8MWJ1MXgRs2HfNU5TJhm0mG/RRZ0+ZuA1evTyOA3bqu94py+SfZmF7s5qZvGPufQKk77qnJI8d28e9bIO95neC0nxf7W7AI6vqEpo7nFFVz6G5s+Q/J7lXknvSjIG/Z3/VLr00PgTsAuxRVT9ob2BFVR0J3JLkJDP5nZmsaJ+/ubfCl8gi89iqff7W3gpfQovMZLMeS15SC+RxVZL14NfX9lLNV5McBjyN5q7PD62q26q5Sc3gLDKTB1XVTX3VvNQWkcm3aDL55ap+59rObfC4ReTxMJqzm4O1iEz2YsDbG1j052bz9vnBXeO7yDy2bJ/vZRvsNb+TtRFwbVVdn+TpNDdNuILmO8D2B94KvJJm+MwHqurz/ZW69KqqkqwPXFlVdyQ5FNg9ya+Ak2iG0Lyd5gYKj8RMTmLhTD63qt+3tltkHuf1Ve8k+LkZ91vy+DlwZlV9uV30bjRfbfTaqnp1X/VOgpl0mUmX65Jx5tFlJl1mMm5t3E/LAA9CTJX85sZWc1+v8QXgszTXy7yV5lqiQ2iu1zyFZqjVDlV1UT8VL715mSyjySPALTTj/59Mc9e3btF5xgAABw5JREFU19PcqXc5ZjJTmZhHl5mMu5N5XAe8u5qbF+0LbFxVp/dV81Izky4z6XJdMs48usyky0zGrdV5zB8H7c8aHf9+KM3F7RuOzHsUzcXeb2inA/wZ8IK+6+0xk/sAHwC2a6c3o7mD4uP6rtdMzGMafszkrucBrNN33WZiJn3/uC4xDzMxk1nPw2t+l0iS/0NzJndv4MCRpy4E3gcckWTnat4hj2Dg143AqjOpqu8Bz6z2q1eq+VqaG5iBYflmMs48usxk3GLzqAF/F6mZdJlJl+uScebRZSZdZjJuCHlMXUFD0J7+vwx4LM3X0OyV5Iaq+lhV/QJ4Y5JbgDcluR24sar+tseSl9wqMvlZVZ0JUFW3tMttQ3MHxV/UwL9300zGmUeXmYwzjy4z6TKTLjMZZx5dZtJlJuOGkofX/K5BSTZqm9vReZvQfJn15sDHquozI89tTfN9WN+abKWTcycy+WhVndvOX5/mqyU2qqoXTbzYCTGTcebRZSbjzKPLTLrMpMtMxplHl5l0mcm4oeVh87uGJPl94E3A54HrgVe0Q5pJch/gecAdwDE0F3xf2Fetk7KamWxfVV9NsrwG+hU1YCbzmUeXmYwzjy4z6TKTLjMZZx5dZtJlJuOGmIfX/N5FaWwPHE9zR7OTgfsBZ88tU804+PcAtwEfBs5NslMP5U7EIjP5fJKdpvnDcleYyTjz6DKTcebRZSZdZtJlJuPMo8tMusxk3KDzqCm469ba/gNsApxA8/UIc/POA/5p3nL/CZwP3Kfvms3ETPr+MQ8zMQ8zMRMzMQ8zmZYfM5mNPDzzexckOTzJATTj3e8HPHzk6X2BRyY5pF12B+DbwN7VHCkZJDPpMpNx5tFlJuPMo8tMusyky0zGmUeXmXSZybih5+E1v4uQZDPgQ8APgJ2AU4Gbgb8Bdq+qq9vljgRWVNXf91XrpJhJl5mMM48uMxlnHl1m0mUmXWYyzjy6zKTLTMbNSh6e+V1Nae5i9mbgi1X1DOCJwFOBz9BcEP7xJCvaxTcFtu6l0Akyky4zGWceXWYyzjy6zKTLTLrMZJx5dJlJl5mMm6U8PPO7CEn2BL5dVde100e10/+S5C3AFkCAPYA/rapP9VftZJhJl5mMM48uMxlnHl1m0mUmXWYyzjy6zKTLTMbNSh7L+i5gLfWVqrptZHoFcAtAVf3vJLsC9wFeUlXf7qPAHphJl5mMM48uMxlnHl1m0mUmXWYyzjy6zKTLTMbNRB4Oe16EuTdGkrmDBwEuaue9Hlivqs5am98Yq8tMusxknHl0mck48+gyky4z6TKTcebRZSZdZjJuVvKw+b0LRo6OXAnsneRsYJOqurDHsnplJl1mMs48usxknHl0mUmXmXSZyTjz6DKTLjMZN/Q8HPa8ZuwGHAI8t6re3XcxU8JMusxknHl0mck48+gyky4z6TKTcebRZSZdZjJukHl4w6s1IMkfAVTV2X3XMi3MpMtMxplHl5mMM48uM+kyky4zGWceXWbSZSbjhpqHza8kSZIkafC85leSJEmSNHg2v5IkSZKkwbP5lSRJkiQNns2vJEmSJGnwbH4lSZIkSYNn8ytJkiRJGjybX0mSJEnS4Nn8SpI0JZK8OskLRqaPTvLTJAeMzHtvkiclOTfJ7iPzP5fkQUkuS7JlO2+dJJcn2SLJSUnekeRTSa5I8j+SnJjk0iQnjfyenyf5hyQXJPmPJHsl+XT7midNKApJktY4m19JkqbHu4BnQdO4AocCBwLPaefdHfjvwFnACcCz2/k7AetX1deAk4HD29/3WOCrVXVtO70Z8AfAXwAfBY4Ffg/YbaSR3gj4dFU9FLgR+DtgX+DJwKuW4o+WJGkSbH4lSZoSVfUd4LokewD7AV+uqnOA+yfZCng6cFpV3QZ8ENg/yXLgSOCk9tecCBzRPj4SePfIf/HRqirgIuCaqrqoqu4ALgbu2y5zC/Dx9vFFwDlVdWv7+L5IkrSWWtZ3AZIkaczcGd2taRpZgPfQnM09lKahpapuSvLvwAHAIcCe7fzvJ7kmyR8AD+c3Z4EBftX+e8fI47npuX2CW9sGeWy5qrojifsNkqS1lhsxSZKmy+k0w4uXA4e1804Cvgj8sKouHln2BJrhy+dW1U/mzT8ZeE9V3b7kFUuStBZw2LMkSVOkqm4BPgWcOte4VtU1wKWMD2Gmqi4Abpg/HzgD2HiB+ZIkzaz8ZmSTJEnqW3ujqwuBg6vqsnbehjTX3D6kqn42suy2wKeBXdprd+fm7wkcW1WPmmTtkiRNM8/8SpI0JZI8ELgc+ORI4/tY4BvAW+Y1vkcAXwBeNq/xfTFwGvCSSdYuSdK088yvJEmSJGnwPPMrSZIkSRo8m19JkiRJ0uDZ/EqSJEmSBs/mV5IkSZI0eDa/kiRJkqTB+y9fSInDBJZbywAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# By year and Month\n",
    "plt.figure(figsize=(16,12))\n",
    "plt.title(\"Incidents by Year / Month - Closed Date\")\n",
    "plot = sns.countplot(x = \"yyyymm\",data=df,order=df['yyyymm'].value_counts(ascending=True).index)\n",
    "plot.set_xticklabels(plot.get_xticklabels(), rotation=40)\n",
    "plt.grid(True, which=\"both\", axis=\"y\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "yyyymm\n",
      "201505    35945\n",
      "201509    35013\n",
      "201506    34836\n",
      "201508    34582\n",
      "201507    34236\n",
      "201510    32222\n",
      "201511    30549\n",
      "201512    30324\n",
      "201504    26958\n",
      "201503    25250\n",
      "201502    20491\n",
      "201501    19900\n",
      "201601      123\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Printing the Table of Year and month\n",
    "print(df.groupby([\"yyyymm\"]).size().sort_values(ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# By Compliant Type\n",
    "plt.figure(figsize=(16,12))\n",
    "plt.title(\"Incidents by Compliant Type\")\n",
    "plot = sns.countplot(x = \"Complaint Type\",data=df,order=df[\"Complaint Type\"].value_counts(ascending=True).index)\n",
    "plot.set_xticklabels(plot.get_xticklabels(), rotation=90)\n",
    "plt.grid(True, which=\"both\", axis=\"y\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pie chart, where the slices will be ordered and plotted counter-clockwise:\n",
    "complaint_type = df.groupby('Complaint Type').size().sort_values(ascending=False)\n",
    "explode = (0.1, 0, 0, 0, 0)  # only \"explode\" the 1st slice as it is the larger one\n",
    "fig1, ax1 = plt.subplots(figsize=(16, 12))\n",
    "ax1.pie(complaint_type.values[:5], explode=explode, labels=complaint_type.index[0:5], autopct='%1.1f%%',\n",
    "        shadow=True, startangle=90)\n",
    "ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "ax1.set_title(\"Pie Chart - Incidents by Complaints\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Complaint Type\n",
      "Blocked Driveway             100492\n",
      "Illegal Parking               91092\n",
      "Noise - Street/Sidewalk       50800\n",
      "Noise - Commercial            43628\n",
      "Derelict Vehicle              21427\n",
      "Noise - Vehicle               19125\n",
      "Animal Abuse                  10503\n",
      "Traffic                        5168\n",
      "Homeless Encampment            4829\n",
      "Vending                        4164\n",
      "Noise - Park                   3995\n",
      "Drinking                       1400\n",
      "Noise - House of Worship       1061\n",
      "Posting Advertisement           679\n",
      "Urinating in Public             641\n",
      "Bike/Roller/Skate Chronic       463\n",
      "Panhandling                     320\n",
      "Disorderly Youth                314\n",
      "Illegal Fireworks               167\n",
      "Graffiti                        157\n",
      "Squeegee                          4\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Printing the Table of Complaint\n",
    "print(df.groupby([\"Complaint Type\"]).size().sort_values(ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# By Compliant Type & Borough\n",
    "plt.figure(figsize=(16,12))\n",
    "plt.title(\"Incidents by Compliant Type by Borough\")\n",
    "plot = sns.countplot(x = \"Complaint Type\",data=df,order=df[\"Complaint Type\"].value_counts(ascending=True).index, hue=\"Borough\")\n",
    "plot.set_xticklabels(plot.get_xticklabels(), rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Complaint Type             Borough      \n",
      "Blocked Driveway           QUEENS           41478\n",
      "                           BROOKLYN         36431\n",
      "Illegal Parking            BROOKLYN         33461\n",
      "                           QUEENS           27179\n",
      "Noise - Street/Sidewalk    MANHATTAN        22188\n",
      "                                            ...  \n",
      "Illegal Fireworks          STATEN ISLAND       11\n",
      "Bike/Roller/Skate Chronic  STATEN ISLAND        9\n",
      "Graffiti                   STATEN ISLAND        6\n",
      "Squeegee                   MANHATTAN            4\n",
      "Illegal Parking            Unspecified          1\n",
      "Length: 102, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Printing the Table of Complaint / Borough\n",
    "print(df.groupby([\"Complaint Type\", \"Borough\"]).size().sort_values(ascending=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# By Day of the Week\n",
    "plt.figure(figsize=(16,12))\n",
    "plt.title(\"Incidents by Weekdays - Closed Date\")\n",
    "plot = sns.countplot(x = \"day\",data=df,order=df['day'].value_counts(ascending=True).index)\n",
    "plot.set_xticklabels(plot.get_xticklabels(), rotation=40)\n",
    "plt.grid(True, which=\"both\", axis=\"y\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pie chart, where the slices will be ordered and plotted counter-clockwise:\n",
    "day_type = df.groupby('day').size().sort_values(ascending=False)\n",
    "explode = (0.1, 0, 0, 0, 0, 0 ,0)  # only \"explode\" the 1st slice as it is the larger one\n",
    "fig1, ax1 = plt.subplots(figsize=(16, 12))\n",
    "ax1.pie(day_type.values, explode=explode, labels=day_type.index, autopct='%1.1f%%',\n",
    "        shadow=True, startangle=90)\n",
    "ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "ax1.set_title(\"Pie Chart - Incidents by Days of the Week\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Statistics on Processing Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_complaint = df[['duration_hr','Complaint Type']].groupby('Complaint Type')\n",
    "grouped_borough   = df[['duration_hr','Borough']].groupby('Borough')\n",
    "grouped_complaint_borough   = df[['duration_hr','Complaint Type', 'Borough']].groupby(['Complaint Type','Borough'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">duration_hr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Complaint Type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Animal Abuse</td>\n",
       "      <td>10503.0</td>\n",
       "      <td>5.014197</td>\n",
       "      <td>7.816822</td>\n",
       "      <td>0.036667</td>\n",
       "      <td>1.612222</td>\n",
       "      <td>3.248056</td>\n",
       "      <td>6.209444</td>\n",
       "      <td>519.254444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Bike/Roller/Skate Chronic</td>\n",
       "      <td>463.0</td>\n",
       "      <td>3.594999</td>\n",
       "      <td>4.095258</td>\n",
       "      <td>0.071111</td>\n",
       "      <td>0.988056</td>\n",
       "      <td>2.330556</td>\n",
       "      <td>4.846806</td>\n",
       "      <td>33.914444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>100492.0</td>\n",
       "      <td>4.504954</td>\n",
       "      <td>5.168592</td>\n",
       "      <td>0.047500</td>\n",
       "      <td>1.554167</td>\n",
       "      <td>3.048056</td>\n",
       "      <td>5.720833</td>\n",
       "      <td>148.286667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Derelict Vehicle</td>\n",
       "      <td>21427.0</td>\n",
       "      <td>7.022328</td>\n",
       "      <td>10.441845</td>\n",
       "      <td>0.061667</td>\n",
       "      <td>1.662083</td>\n",
       "      <td>3.975833</td>\n",
       "      <td>8.230833</td>\n",
       "      <td>223.370000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Disorderly Youth</td>\n",
       "      <td>314.0</td>\n",
       "      <td>3.443265</td>\n",
       "      <td>3.626615</td>\n",
       "      <td>0.100833</td>\n",
       "      <td>1.192639</td>\n",
       "      <td>2.373472</td>\n",
       "      <td>4.564514</td>\n",
       "      <td>28.057500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Drinking</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>3.834440</td>\n",
       "      <td>5.073775</td>\n",
       "      <td>0.082222</td>\n",
       "      <td>1.215417</td>\n",
       "      <td>2.565417</td>\n",
       "      <td>4.906736</td>\n",
       "      <td>94.770000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Graffiti</td>\n",
       "      <td>157.0</td>\n",
       "      <td>6.465651</td>\n",
       "      <td>7.802835</td>\n",
       "      <td>0.156389</td>\n",
       "      <td>2.454444</td>\n",
       "      <td>4.189444</td>\n",
       "      <td>7.582778</td>\n",
       "      <td>54.611944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Homeless Encampment</td>\n",
       "      <td>4829.0</td>\n",
       "      <td>4.298460</td>\n",
       "      <td>5.288357</td>\n",
       "      <td>0.091944</td>\n",
       "      <td>1.331111</td>\n",
       "      <td>2.794722</td>\n",
       "      <td>5.466944</td>\n",
       "      <td>91.312222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Illegal Fireworks</td>\n",
       "      <td>167.0</td>\n",
       "      <td>2.811763</td>\n",
       "      <td>3.624060</td>\n",
       "      <td>0.135000</td>\n",
       "      <td>0.567083</td>\n",
       "      <td>1.474722</td>\n",
       "      <td>3.718889</td>\n",
       "      <td>27.852778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>91092.0</td>\n",
       "      <td>4.328936</td>\n",
       "      <td>5.643489</td>\n",
       "      <td>0.043611</td>\n",
       "      <td>1.349097</td>\n",
       "      <td>2.850833</td>\n",
       "      <td>5.525833</td>\n",
       "      <td>577.351667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>43628.0</td>\n",
       "      <td>3.067216</td>\n",
       "      <td>4.777531</td>\n",
       "      <td>0.016944</td>\n",
       "      <td>0.920486</td>\n",
       "      <td>2.028611</td>\n",
       "      <td>3.935625</td>\n",
       "      <td>587.201667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Noise - House of Worship</td>\n",
       "      <td>1061.0</td>\n",
       "      <td>3.166172</td>\n",
       "      <td>4.352327</td>\n",
       "      <td>0.072222</td>\n",
       "      <td>0.838889</td>\n",
       "      <td>1.871389</td>\n",
       "      <td>3.867500</td>\n",
       "      <td>49.091111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Noise - Park</td>\n",
       "      <td>3995.0</td>\n",
       "      <td>3.389598</td>\n",
       "      <td>4.001539</td>\n",
       "      <td>0.071389</td>\n",
       "      <td>0.938056</td>\n",
       "      <td>2.192222</td>\n",
       "      <td>4.467778</td>\n",
       "      <td>57.680556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>50800.0</td>\n",
       "      <td>3.394068</td>\n",
       "      <td>5.350509</td>\n",
       "      <td>0.038056</td>\n",
       "      <td>0.982153</td>\n",
       "      <td>2.162500</td>\n",
       "      <td>4.245694</td>\n",
       "      <td>592.872778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Noise - Vehicle</td>\n",
       "      <td>19125.0</td>\n",
       "      <td>3.496225</td>\n",
       "      <td>4.466280</td>\n",
       "      <td>0.039167</td>\n",
       "      <td>1.055278</td>\n",
       "      <td>2.256944</td>\n",
       "      <td>4.399167</td>\n",
       "      <td>147.447778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Panhandling</td>\n",
       "      <td>320.0</td>\n",
       "      <td>4.395223</td>\n",
       "      <td>9.154152</td>\n",
       "      <td>0.091944</td>\n",
       "      <td>1.209653</td>\n",
       "      <td>2.676389</td>\n",
       "      <td>5.186250</td>\n",
       "      <td>145.082222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Posting Advertisement</td>\n",
       "      <td>679.0</td>\n",
       "      <td>2.023960</td>\n",
       "      <td>2.516827</td>\n",
       "      <td>0.040556</td>\n",
       "      <td>0.511944</td>\n",
       "      <td>1.137778</td>\n",
       "      <td>2.449167</td>\n",
       "      <td>25.086944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Squeegee</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.044514</td>\n",
       "      <td>2.812241</td>\n",
       "      <td>1.179167</td>\n",
       "      <td>1.875417</td>\n",
       "      <td>4.106111</td>\n",
       "      <td>6.275208</td>\n",
       "      <td>6.786667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Traffic</td>\n",
       "      <td>5168.0</td>\n",
       "      <td>3.423560</td>\n",
       "      <td>4.885167</td>\n",
       "      <td>0.073611</td>\n",
       "      <td>0.771667</td>\n",
       "      <td>1.946111</td>\n",
       "      <td>4.232083</td>\n",
       "      <td>74.056944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Urinating in Public</td>\n",
       "      <td>641.0</td>\n",
       "      <td>3.599804</td>\n",
       "      <td>4.981122</td>\n",
       "      <td>0.143333</td>\n",
       "      <td>0.990278</td>\n",
       "      <td>2.091944</td>\n",
       "      <td>4.881667</td>\n",
       "      <td>81.188333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Vending</td>\n",
       "      <td>4164.0</td>\n",
       "      <td>3.987320</td>\n",
       "      <td>4.686116</td>\n",
       "      <td>0.045556</td>\n",
       "      <td>1.181181</td>\n",
       "      <td>2.642778</td>\n",
       "      <td>5.257639</td>\n",
       "      <td>76.924444</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          duration_hr                                 \\\n",
       "                                count      mean        std       min   \n",
       "Complaint Type                                                         \n",
       "Animal Abuse                  10503.0  5.014197   7.816822  0.036667   \n",
       "Bike/Roller/Skate Chronic       463.0  3.594999   4.095258  0.071111   \n",
       "Blocked Driveway             100492.0  4.504954   5.168592  0.047500   \n",
       "Derelict Vehicle              21427.0  7.022328  10.441845  0.061667   \n",
       "Disorderly Youth                314.0  3.443265   3.626615  0.100833   \n",
       "Drinking                       1400.0  3.834440   5.073775  0.082222   \n",
       "Graffiti                        157.0  6.465651   7.802835  0.156389   \n",
       "Homeless Encampment            4829.0  4.298460   5.288357  0.091944   \n",
       "Illegal Fireworks               167.0  2.811763   3.624060  0.135000   \n",
       "Illegal Parking               91092.0  4.328936   5.643489  0.043611   \n",
       "Noise - Commercial            43628.0  3.067216   4.777531  0.016944   \n",
       "Noise - House of Worship       1061.0  3.166172   4.352327  0.072222   \n",
       "Noise - Park                   3995.0  3.389598   4.001539  0.071389   \n",
       "Noise - Street/Sidewalk       50800.0  3.394068   5.350509  0.038056   \n",
       "Noise - Vehicle               19125.0  3.496225   4.466280  0.039167   \n",
       "Panhandling                     320.0  4.395223   9.154152  0.091944   \n",
       "Posting Advertisement           679.0  2.023960   2.516827  0.040556   \n",
       "Squeegee                          4.0  4.044514   2.812241  1.179167   \n",
       "Traffic                        5168.0  3.423560   4.885167  0.073611   \n",
       "Urinating in Public             641.0  3.599804   4.981122  0.143333   \n",
       "Vending                        4164.0  3.987320   4.686116  0.045556   \n",
       "\n",
       "                                                                     \n",
       "                                25%       50%       75%         max  \n",
       "Complaint Type                                                       \n",
       "Animal Abuse               1.612222  3.248056  6.209444  519.254444  \n",
       "Bike/Roller/Skate Chronic  0.988056  2.330556  4.846806   33.914444  \n",
       "Blocked Driveway           1.554167  3.048056  5.720833  148.286667  \n",
       "Derelict Vehicle           1.662083  3.975833  8.230833  223.370000  \n",
       "Disorderly Youth           1.192639  2.373472  4.564514   28.057500  \n",
       "Drinking                   1.215417  2.565417  4.906736   94.770000  \n",
       "Graffiti                   2.454444  4.189444  7.582778   54.611944  \n",
       "Homeless Encampment        1.331111  2.794722  5.466944   91.312222  \n",
       "Illegal Fireworks          0.567083  1.474722  3.718889   27.852778  \n",
       "Illegal Parking            1.349097  2.850833  5.525833  577.351667  \n",
       "Noise - Commercial         0.920486  2.028611  3.935625  587.201667  \n",
       "Noise - House of Worship   0.838889  1.871389  3.867500   49.091111  \n",
       "Noise - Park               0.938056  2.192222  4.467778   57.680556  \n",
       "Noise - Street/Sidewalk    0.982153  2.162500  4.245694  592.872778  \n",
       "Noise - Vehicle            1.055278  2.256944  4.399167  147.447778  \n",
       "Panhandling                1.209653  2.676389  5.186250  145.082222  \n",
       "Posting Advertisement      0.511944  1.137778  2.449167   25.086944  \n",
       "Squeegee                   1.875417  4.106111  6.275208    6.786667  \n",
       "Traffic                    0.771667  1.946111  4.232083   74.056944  \n",
       "Urinating in Public        0.990278  2.091944  4.881667   81.188333  \n",
       "Vending                    1.181181  2.642778  5.257639   76.924444  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_complaint.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">duration_hr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Borough</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>BRONX</td>\n",
       "      <td>49045.0</td>\n",
       "      <td>5.884292</td>\n",
       "      <td>7.207461</td>\n",
       "      <td>0.053889</td>\n",
       "      <td>1.923889</td>\n",
       "      <td>3.913333</td>\n",
       "      <td>7.277500</td>\n",
       "      <td>160.943889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>118634.0</td>\n",
       "      <td>3.942975</td>\n",
       "      <td>5.382980</td>\n",
       "      <td>0.036667</td>\n",
       "      <td>1.235347</td>\n",
       "      <td>2.605833</td>\n",
       "      <td>5.108333</td>\n",
       "      <td>592.872778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>76748.0</td>\n",
       "      <td>2.923252</td>\n",
       "      <td>4.548199</td>\n",
       "      <td>0.016944</td>\n",
       "      <td>0.871944</td>\n",
       "      <td>1.896111</td>\n",
       "      <td>3.679514</td>\n",
       "      <td>587.201667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>QUEENS</td>\n",
       "      <td>100678.0</td>\n",
       "      <td>4.678383</td>\n",
       "      <td>6.424590</td>\n",
       "      <td>0.043611</td>\n",
       "      <td>1.450000</td>\n",
       "      <td>2.964444</td>\n",
       "      <td>5.626111</td>\n",
       "      <td>169.113333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>15323.0</td>\n",
       "      <td>3.798044</td>\n",
       "      <td>3.689456</td>\n",
       "      <td>0.040556</td>\n",
       "      <td>1.239306</td>\n",
       "      <td>2.682500</td>\n",
       "      <td>5.200972</td>\n",
       "      <td>54.841667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Unspecified</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.852778</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.852778</td>\n",
       "      <td>4.852778</td>\n",
       "      <td>4.852778</td>\n",
       "      <td>4.852778</td>\n",
       "      <td>4.852778</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              duration_hr                                                    \\\n",
       "                    count      mean       std       min       25%       50%   \n",
       "Borough                                                                       \n",
       "BRONX             49045.0  5.884292  7.207461  0.053889  1.923889  3.913333   \n",
       "BROOKLYN         118634.0  3.942975  5.382980  0.036667  1.235347  2.605833   \n",
       "MANHATTAN         76748.0  2.923252  4.548199  0.016944  0.871944  1.896111   \n",
       "QUEENS           100678.0  4.678383  6.424590  0.043611  1.450000  2.964444   \n",
       "STATEN ISLAND     15323.0  3.798044  3.689456  0.040556  1.239306  2.682500   \n",
       "Unspecified           1.0  4.852778       NaN  4.852778  4.852778  4.852778   \n",
       "\n",
       "                                     \n",
       "                    75%         max  \n",
       "Borough                              \n",
       "BRONX          7.277500  160.943889  \n",
       "BROOKLYN       5.108333  592.872778  \n",
       "MANHATTAN      3.679514  587.201667  \n",
       "QUEENS         5.626111  169.113333  \n",
       "STATEN ISLAND  5.200972   54.841667  \n",
       "Unspecified    4.852778    4.852778  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_borough.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">duration_hr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Complaint Type</th>\n",
       "      <th>Borough</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td rowspan=\"5\" valign=\"top\">Animal Abuse</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>1967.0</td>\n",
       "      <td>7.012680</td>\n",
       "      <td>7.803829</td>\n",
       "      <td>0.097500</td>\n",
       "      <td>2.432222</td>\n",
       "      <td>4.800278</td>\n",
       "      <td>8.965417</td>\n",
       "      <td>126.015833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>3186.0</td>\n",
       "      <td>4.642197</td>\n",
       "      <td>10.438665</td>\n",
       "      <td>0.036667</td>\n",
       "      <td>1.434167</td>\n",
       "      <td>2.967500</td>\n",
       "      <td>5.793611</td>\n",
       "      <td>519.254444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>1926.0</td>\n",
       "      <td>3.549358</td>\n",
       "      <td>3.676650</td>\n",
       "      <td>0.064722</td>\n",
       "      <td>1.215556</td>\n",
       "      <td>2.467500</td>\n",
       "      <td>4.615694</td>\n",
       "      <td>52.145000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>QUEENS</td>\n",
       "      <td>2638.0</td>\n",
       "      <td>5.139467</td>\n",
       "      <td>6.822098</td>\n",
       "      <td>0.073611</td>\n",
       "      <td>1.660972</td>\n",
       "      <td>3.281111</td>\n",
       "      <td>5.996736</td>\n",
       "      <td>108.152500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>786.0</td>\n",
       "      <td>4.689767</td>\n",
       "      <td>4.164102</td>\n",
       "      <td>0.116389</td>\n",
       "      <td>1.731944</td>\n",
       "      <td>3.388194</td>\n",
       "      <td>6.497431</td>\n",
       "      <td>31.062500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td rowspan=\"5\" valign=\"top\">Vending</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>431.0</td>\n",
       "      <td>6.634274</td>\n",
       "      <td>8.338178</td>\n",
       "      <td>0.140556</td>\n",
       "      <td>1.948333</td>\n",
       "      <td>4.255833</td>\n",
       "      <td>8.142083</td>\n",
       "      <td>76.924444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>575.0</td>\n",
       "      <td>4.446529</td>\n",
       "      <td>4.540332</td>\n",
       "      <td>0.068611</td>\n",
       "      <td>1.395556</td>\n",
       "      <td>2.911667</td>\n",
       "      <td>6.215556</td>\n",
       "      <td>37.448611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>2620.0</td>\n",
       "      <td>3.288657</td>\n",
       "      <td>3.227996</td>\n",
       "      <td>0.045556</td>\n",
       "      <td>1.003194</td>\n",
       "      <td>2.355556</td>\n",
       "      <td>4.504792</td>\n",
       "      <td>32.886944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>QUEENS</td>\n",
       "      <td>513.0</td>\n",
       "      <td>4.803106</td>\n",
       "      <td>5.815909</td>\n",
       "      <td>0.146667</td>\n",
       "      <td>1.483056</td>\n",
       "      <td>3.016944</td>\n",
       "      <td>6.121944</td>\n",
       "      <td>65.176667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>25.0</td>\n",
       "      <td>4.271911</td>\n",
       "      <td>3.640249</td>\n",
       "      <td>0.401944</td>\n",
       "      <td>1.591111</td>\n",
       "      <td>2.519167</td>\n",
       "      <td>6.871944</td>\n",
       "      <td>13.063333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>102 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             duration_hr                                 \\\n",
       "                                   count      mean        std       min   \n",
       "Complaint Type Borough                                                    \n",
       "Animal Abuse   BRONX              1967.0  7.012680   7.803829  0.097500   \n",
       "               BROOKLYN           3186.0  4.642197  10.438665  0.036667   \n",
       "               MANHATTAN          1926.0  3.549358   3.676650  0.064722   \n",
       "               QUEENS             2638.0  5.139467   6.822098  0.073611   \n",
       "               STATEN ISLAND       786.0  4.689767   4.164102  0.116389   \n",
       "...                                  ...       ...        ...       ...   \n",
       "Vending        BRONX               431.0  6.634274   8.338178  0.140556   \n",
       "               BROOKLYN            575.0  4.446529   4.540332  0.068611   \n",
       "               MANHATTAN          2620.0  3.288657   3.227996  0.045556   \n",
       "               QUEENS              513.0  4.803106   5.815909  0.146667   \n",
       "               STATEN ISLAND        25.0  4.271911   3.640249  0.401944   \n",
       "\n",
       "                                                                        \n",
       "                                   25%       50%       75%         max  \n",
       "Complaint Type Borough                                                  \n",
       "Animal Abuse   BRONX          2.432222  4.800278  8.965417  126.015833  \n",
       "               BROOKLYN       1.434167  2.967500  5.793611  519.254444  \n",
       "               MANHATTAN      1.215556  2.467500  4.615694   52.145000  \n",
       "               QUEENS         1.660972  3.281111  5.996736  108.152500  \n",
       "               STATEN ISLAND  1.731944  3.388194  6.497431   31.062500  \n",
       "...                                ...       ...       ...         ...  \n",
       "Vending        BRONX          1.948333  4.255833  8.142083   76.924444  \n",
       "               BROOKLYN       1.395556  2.911667  6.215556   37.448611  \n",
       "               MANHATTAN      1.003194  2.355556  4.504792   32.886944  \n",
       "               QUEENS         1.483056  3.016944  6.121944   65.176667  \n",
       "               STATEN ISLAND  1.591111  2.519167  6.871944   13.063333  \n",
       "\n",
       "[102 rows x 8 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_complaint_borough.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Average Resolution Time by complaint Type\n",
    "grouped_complaint.mean().sort_values('duration_hr',ascending=True).plot(figsize=(16,12), \n",
    "        title=\"Average Resolution Time  by Complaint Type\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}