911 Calls - Exploratory Analysis.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
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    "nbpresent": {
     "id": "885a9c89-500a-4b55-a3cb-91e61176f47c"
    }
   },
   "source": [
    "# 911 Exploratory Analysis Project"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "5aa43777-2a5d-4dfa-839a-56abb1ea5b64"
    }
   },
   "source": [
    "For this project we'll analyze the 911 call dataset from [Kaggle](https://www.kaggle.com/mchirico/montcoalert). The data contains the following fields:\n",
    "\n",
    "* lat : String variable, Latitude\n",
    "* lng: String variable, Longitude\n",
    "* desc: String variable, Description of the Emergency Call\n",
    "* zip: String variable, Zipcode\n",
    "* title: String variable, Title\n",
    "* timeStamp: String variable, YYYY-MM-DD HH:MM:SS\n",
    "* twp: String variable, Township\n",
    "* addr: String variable, Address\n",
    "* e: String variable, Dummy variable (always 1)\n",
    "\n",
    "Let's start with some data analysis and visualisation imports."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true,
    "nbpresent": {
     "id": "b45f2169-8133-4c6d-b07c-0c1e4c592457"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "1307840b-2c6e-4a45-ac5b-097e9c25d7b8"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "sns.set_style('whitegrid')\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (6, 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "37ed96c5-6df7-4df4-8daf-231c146432ad"
    }
   },
   "outputs": [],
   "source": [
    "#Reading the data\n",
    "df = pd.read_csv('data/911.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "ac572753-c139-4ebb-8b01-b279b904046f"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 99492 entries, 0 to 99491\n",
      "Data columns (total 9 columns):\n",
      "lat          99492 non-null float64\n",
      "lng          99492 non-null float64\n",
      "desc         99492 non-null object\n",
      "zip          86637 non-null float64\n",
      "title        99492 non-null object\n",
      "timeStamp    99492 non-null object\n",
      "twp          99449 non-null object\n",
      "addr         98973 non-null object\n",
      "e            99492 non-null int64\n",
      "dtypes: float64(3), int64(1), object(5)\n",
      "memory usage: 6.8+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "ede351b9-9fd5-42ef-8f54-69232d70a3d6"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>desc</th>\n",
       "      <th>zip</th>\n",
       "      <th>title</th>\n",
       "      <th>timeStamp</th>\n",
       "      <th>twp</th>\n",
       "      <th>addr</th>\n",
       "      <th>e</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.297876</td>\n",
       "      <td>-75.581294</td>\n",
       "      <td>REINDEER CT &amp; DEAD END;  NEW HANOVER; Station ...</td>\n",
       "      <td>19525.0</td>\n",
       "      <td>EMS: BACK PAINS/INJURY</td>\n",
       "      <td>2015-12-10 17:40:00</td>\n",
       "      <td>NEW HANOVER</td>\n",
       "      <td>REINDEER CT &amp; DEAD END</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.258061</td>\n",
       "      <td>-75.264680</td>\n",
       "      <td>BRIAR PATH &amp; WHITEMARSH LN;  HATFIELD TOWNSHIP...</td>\n",
       "      <td>19446.0</td>\n",
       "      <td>EMS: DIABETIC EMERGENCY</td>\n",
       "      <td>2015-12-10 17:40:00</td>\n",
       "      <td>HATFIELD TOWNSHIP</td>\n",
       "      <td>BRIAR PATH &amp; WHITEMARSH LN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.121182</td>\n",
       "      <td>-75.351975</td>\n",
       "      <td>HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...</td>\n",
       "      <td>19401.0</td>\n",
       "      <td>Fire: GAS-ODOR/LEAK</td>\n",
       "      <td>2015-12-10 17:40:00</td>\n",
       "      <td>NORRISTOWN</td>\n",
       "      <td>HAWS AVE</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.116153</td>\n",
       "      <td>-75.343513</td>\n",
       "      <td>AIRY ST &amp; SWEDE ST;  NORRISTOWN; Station 308A;...</td>\n",
       "      <td>19401.0</td>\n",
       "      <td>EMS: CARDIAC EMERGENCY</td>\n",
       "      <td>2015-12-10 17:40:01</td>\n",
       "      <td>NORRISTOWN</td>\n",
       "      <td>AIRY ST &amp; SWEDE ST</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40.251492</td>\n",
       "      <td>-75.603350</td>\n",
       "      <td>CHERRYWOOD CT &amp; DEAD END;  LOWER POTTSGROVE; S...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EMS: DIZZINESS</td>\n",
       "      <td>2015-12-10 17:40:01</td>\n",
       "      <td>LOWER POTTSGROVE</td>\n",
       "      <td>CHERRYWOOD CT &amp; DEAD END</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         lat        lng                                               desc  \\\n",
       "0  40.297876 -75.581294  REINDEER CT & DEAD END;  NEW HANOVER; Station ...   \n",
       "1  40.258061 -75.264680  BRIAR PATH & WHITEMARSH LN;  HATFIELD TOWNSHIP...   \n",
       "2  40.121182 -75.351975  HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...   \n",
       "3  40.116153 -75.343513  AIRY ST & SWEDE ST;  NORRISTOWN; Station 308A;...   \n",
       "4  40.251492 -75.603350  CHERRYWOOD CT & DEAD END;  LOWER POTTSGROVE; S...   \n",
       "\n",
       "       zip                    title            timeStamp                twp  \\\n",
       "0  19525.0   EMS: BACK PAINS/INJURY  2015-12-10 17:40:00        NEW HANOVER   \n",
       "1  19446.0  EMS: DIABETIC EMERGENCY  2015-12-10 17:40:00  HATFIELD TOWNSHIP   \n",
       "2  19401.0      Fire: GAS-ODOR/LEAK  2015-12-10 17:40:00         NORRISTOWN   \n",
       "3  19401.0   EMS: CARDIAC EMERGENCY  2015-12-10 17:40:01         NORRISTOWN   \n",
       "4      NaN           EMS: DIZZINESS  2015-12-10 17:40:01   LOWER POTTSGROVE   \n",
       "\n",
       "                         addr  e  \n",
       "0      REINDEER CT & DEAD END  1  \n",
       "1  BRIAR PATH & WHITEMARSH LN  1  \n",
       "2                    HAWS AVE  1  \n",
       "3          AIRY ST & SWEDE ST  1  \n",
       "4    CHERRYWOOD CT & DEAD END  1  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking the head of the dataframe\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "fadfe82a-9173-4481-94cb-976a67d003d2"
    }
   },
   "source": [
    "## Basic Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "1dfea5b7-e897-4ec3-88db-cedbeda7f44b"
    }
   },
   "source": [
    "Let's check out the top 5 zipcodes for calls."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "7f53de11-6a3e-45ff-b833-05f46dc5af57"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19401.0    6979\n",
       "19464.0    6643\n",
       "19403.0    4854\n",
       "19446.0    4748\n",
       "19406.0    3174\n",
       "Name: zip, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['zip'].value_counts().head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "ff7dd8f5-2a02-4048-b51d-3a3320609554"
    }
   },
   "source": [
    "The top townships for the calls were as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "09ddca36-38a2-43f3-a2d2-e5d8dd37b1f0"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LOWER MERION    8443\n",
       "ABINGTON        5977\n",
       "NORRISTOWN      5890\n",
       "UPPER MERION    5227\n",
       "CHELTENHAM      4575\n",
       "Name: twp, dtype: int64"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['twp'].value_counts().head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "0618af18-9f26-462b-891d-257717304445"
    }
   },
   "source": [
    "For 90k + entries, how many unique call titles did we have? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "987e03f9-a125-4fdf-89ff-4a096b6d9432"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "110"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['title'].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "b86e55db-7f97-49bf-8b7d-a8ecd30b9672"
    }
   },
   "source": [
    "## Data Wrangling for Feature Creation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can extract some generalised features from the columns in our dataset for further analysis. \n",
    "\n",
    "In the _title_ column, there's a kind of 'subcategory' or 'reason for call' alloted to each entry (denoted by the text before the colon). \n",
    "\n",
    "The timestamp column can be further segregated into Year, Month and Day of Week too. \n",
    "\n",
    "Let's start with creating a 'Reason' feature for each call."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true,
    "nbpresent": {
     "id": "9fe57044-4a66-4db5-909f-d2dfdee1ce12"
    }
   },
   "outputs": [],
   "source": [
    "df['Reason'] = df['title'].apply(lambda x: x.split(':')[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "0d2300c3-7f2b-4fa0-a429-7e6c9559b04f"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>desc</th>\n",
       "      <th>zip</th>\n",
       "      <th>title</th>\n",
       "      <th>timeStamp</th>\n",
       "      <th>twp</th>\n",
       "      <th>addr</th>\n",
       "      <th>e</th>\n",
       "      <th>Reason</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99487</th>\n",
       "      <td>40.132869</td>\n",
       "      <td>-75.333515</td>\n",
       "      <td>MARKLEY ST &amp; W LOGAN ST; NORRISTOWN; 2016-08-2...</td>\n",
       "      <td>19401.0</td>\n",
       "      <td>Traffic: VEHICLE ACCIDENT -</td>\n",
       "      <td>2016-08-24 11:06:00</td>\n",
       "      <td>NORRISTOWN</td>\n",
       "      <td>MARKLEY ST &amp; W LOGAN ST</td>\n",
       "      <td>1</td>\n",
       "      <td>Traffic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99488</th>\n",
       "      <td>40.006974</td>\n",
       "      <td>-75.289080</td>\n",
       "      <td>LANCASTER AVE &amp; RITTENHOUSE PL; LOWER MERION; ...</td>\n",
       "      <td>19003.0</td>\n",
       "      <td>Traffic: VEHICLE ACCIDENT -</td>\n",
       "      <td>2016-08-24 11:07:02</td>\n",
       "      <td>LOWER MERION</td>\n",
       "      <td>LANCASTER AVE &amp; RITTENHOUSE PL</td>\n",
       "      <td>1</td>\n",
       "      <td>Traffic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99489</th>\n",
       "      <td>40.115429</td>\n",
       "      <td>-75.334679</td>\n",
       "      <td>CHESTNUT ST &amp; WALNUT ST;  NORRISTOWN; Station ...</td>\n",
       "      <td>19401.0</td>\n",
       "      <td>EMS: FALL VICTIM</td>\n",
       "      <td>2016-08-24 11:12:00</td>\n",
       "      <td>NORRISTOWN</td>\n",
       "      <td>CHESTNUT ST &amp; WALNUT ST</td>\n",
       "      <td>1</td>\n",
       "      <td>EMS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99490</th>\n",
       "      <td>40.186431</td>\n",
       "      <td>-75.192555</td>\n",
       "      <td>WELSH RD &amp; WEBSTER LN;  HORSHAM; Station 352; ...</td>\n",
       "      <td>19002.0</td>\n",
       "      <td>EMS: NAUSEA/VOMITING</td>\n",
       "      <td>2016-08-24 11:17:01</td>\n",
       "      <td>HORSHAM</td>\n",
       "      <td>WELSH RD &amp; WEBSTER LN</td>\n",
       "      <td>1</td>\n",
       "      <td>EMS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99491</th>\n",
       "      <td>40.207055</td>\n",
       "      <td>-75.317952</td>\n",
       "      <td>MORRIS RD &amp; S BROAD ST; UPPER GWYNEDD; 2016-08...</td>\n",
       "      <td>19446.0</td>\n",
       "      <td>Traffic: VEHICLE ACCIDENT -</td>\n",
       "      <td>2016-08-24 11:17:02</td>\n",
       "      <td>UPPER GWYNEDD</td>\n",
       "      <td>MORRIS RD &amp; S BROAD ST</td>\n",
       "      <td>1</td>\n",
       "      <td>Traffic</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             lat        lng  \\\n",
       "99487  40.132869 -75.333515   \n",
       "99488  40.006974 -75.289080   \n",
       "99489  40.115429 -75.334679   \n",
       "99490  40.186431 -75.192555   \n",
       "99491  40.207055 -75.317952   \n",
       "\n",
       "                                                    desc      zip  \\\n",
       "99487  MARKLEY ST & W LOGAN ST; NORRISTOWN; 2016-08-2...  19401.0   \n",
       "99488  LANCASTER AVE & RITTENHOUSE PL; LOWER MERION; ...  19003.0   \n",
       "99489  CHESTNUT ST & WALNUT ST;  NORRISTOWN; Station ...  19401.0   \n",
       "99490  WELSH RD & WEBSTER LN;  HORSHAM; Station 352; ...  19002.0   \n",
       "99491  MORRIS RD & S BROAD ST; UPPER GWYNEDD; 2016-08...  19446.0   \n",
       "\n",
       "                             title            timeStamp            twp  \\\n",
       "99487  Traffic: VEHICLE ACCIDENT -  2016-08-24 11:06:00     NORRISTOWN   \n",
       "99488  Traffic: VEHICLE ACCIDENT -  2016-08-24 11:07:02   LOWER MERION   \n",
       "99489             EMS: FALL VICTIM  2016-08-24 11:12:00     NORRISTOWN   \n",
       "99490         EMS: NAUSEA/VOMITING  2016-08-24 11:17:01        HORSHAM   \n",
       "99491  Traffic: VEHICLE ACCIDENT -  2016-08-24 11:17:02  UPPER GWYNEDD   \n",
       "\n",
       "                                 addr  e   Reason  \n",
       "99487         MARKLEY ST & W LOGAN ST  1  Traffic  \n",
       "99488  LANCASTER AVE & RITTENHOUSE PL  1  Traffic  \n",
       "99489         CHESTNUT ST & WALNUT ST  1      EMS  \n",
       "99490           WELSH RD & WEBSTER LN  1      EMS  \n",
       "99491          MORRIS RD & S BROAD ST  1  Traffic  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "c2ceb94d-ce05-4c80-940b-296cc8d68ce1"
    }
   },
   "source": [
    "Now, let's find out the most common reason for 911 calls, according to our dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "cb024d41-5f10-44da-bfcb-64df5bfa88e9"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EMS        48877\n",
       "Traffic    35695\n",
       "Fire       14920\n",
       "Name: Reason, dtype: int64"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reason'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "ef9a3a0b-cbe8-45d3-9e42-1541e2d61600"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1165ad710>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Xr17avHmz7rzzTs2ZM0fHjh2TJB09elSpqalKTk7W5s2bFRoaqtTUVGPbW7duVU5OjpYs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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c802e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(df['Reason'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "41905b29-7a89-488d-b82f-13907c6a1b7c"
    }
   },
   "source": [
    "Let's deal with the time information we have. Checking the datatype of the timestamp column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "c8fb7058-6a25-4f8f-b5e1-f3b7889b7d1c"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df['timeStamp'][0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "469cbbdb-5389-4c26-b671-88ab3c9ef792"
    }
   },
   "source": [
    "As the timestamps are still string types, it'll make our life easier if we convert it to a python DateTime object, so we can extract the year, month, and day information more intuitively. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "51ec289d-4eec-4307-9ee2-1ae5df2b832c"
    }
   },
   "outputs": [],
   "source": [
    "df['timeStamp'] = pd.to_datetime(df['timeStamp'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For a single DateTime object, we can extract information as follows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "6d77d2f1-b36b-4d1a-b171-d187ef9a85ee"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hour: 17\n",
      "Month: 12\n",
      "Day of Week: 3\n"
     ]
    }
   ],
   "source": [
    "time = df['timeStamp'].iloc[0]\n",
    "\n",
    "print('Hour:',time.hour)\n",
    "print('Month:',time.month)\n",
    "print('Day of Week:',time.dayofweek)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's create new features for the above pieces of information."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "53ff2b35-83ff-405e-8020-8b03cbda7248"
    }
   },
   "outputs": [],
   "source": [
    "df['Hour'] = df['timeStamp'].apply(lambda x: x.hour)\n",
    "df['Month'] = df['timeStamp'].apply(lambda x: x.month)\n",
    "df['Day of Week'] = df['timeStamp'].apply(lambda x: x.dayofweek)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "ba3a4a52-b88f-426a-a66f-55c4515cfd4a"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>desc</th>\n",
       "      <th>zip</th>\n",
       "      <th>title</th>\n",
       "      <th>timeStamp</th>\n",
       "      <th>twp</th>\n",
       "      <th>addr</th>\n",
       "      <th>e</th>\n",
       "      <th>Reason</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day of Week</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.297876</td>\n",
       "      <td>-75.581294</td>\n",
       "      <td>REINDEER CT &amp; DEAD END;  NEW HANOVER; Station ...</td>\n",
       "      <td>19525.0</td>\n",
       "      <td>EMS: BACK PAINS/INJURY</td>\n",
       "      <td>2015-12-10 17:40:00</td>\n",
       "      <td>NEW HANOVER</td>\n",
       "      <td>REINDEER CT &amp; DEAD END</td>\n",
       "      <td>1</td>\n",
       "      <td>EMS</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.258061</td>\n",
       "      <td>-75.264680</td>\n",
       "      <td>BRIAR PATH &amp; WHITEMARSH LN;  HATFIELD TOWNSHIP...</td>\n",
       "      <td>19446.0</td>\n",
       "      <td>EMS: DIABETIC EMERGENCY</td>\n",
       "      <td>2015-12-10 17:40:00</td>\n",
       "      <td>HATFIELD TOWNSHIP</td>\n",
       "      <td>BRIAR PATH &amp; WHITEMARSH LN</td>\n",
       "      <td>1</td>\n",
       "      <td>EMS</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.121182</td>\n",
       "      <td>-75.351975</td>\n",
       "      <td>HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...</td>\n",
       "      <td>19401.0</td>\n",
       "      <td>Fire: GAS-ODOR/LEAK</td>\n",
       "      <td>2015-12-10 17:40:00</td>\n",
       "      <td>NORRISTOWN</td>\n",
       "      <td>HAWS AVE</td>\n",
       "      <td>1</td>\n",
       "      <td>Fire</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         lat        lng                                               desc  \\\n",
       "0  40.297876 -75.581294  REINDEER CT & DEAD END;  NEW HANOVER; Station ...   \n",
       "1  40.258061 -75.264680  BRIAR PATH & WHITEMARSH LN;  HATFIELD TOWNSHIP...   \n",
       "2  40.121182 -75.351975  HAWS AVE; NORRISTOWN; 2015-12-10 @ 14:39:21-St...   \n",
       "\n",
       "       zip                    title           timeStamp                twp  \\\n",
       "0  19525.0   EMS: BACK PAINS/INJURY 2015-12-10 17:40:00        NEW HANOVER   \n",
       "1  19446.0  EMS: DIABETIC EMERGENCY 2015-12-10 17:40:00  HATFIELD TOWNSHIP   \n",
       "2  19401.0      Fire: GAS-ODOR/LEAK 2015-12-10 17:40:00         NORRISTOWN   \n",
       "\n",
       "                         addr  e Reason  Hour  Month  Day of Week  \n",
       "0      REINDEER CT & DEAD END  1    EMS    17     12            3  \n",
       "1  BRIAR PATH & WHITEMARSH LN  1    EMS    17     12            3  \n",
       "2                    HAWS AVE  1   Fire    17     12            3  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "a9c58df5-7037-4345-b11f-0478d954acde"
    }
   },
   "source": [
    "The Day of the Week is an integer and it might not be instantly clear which number refers to which Day. We can map that information to a Mon-Sun string."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "2c3adcf6-a04e-409b-a094-542f9deecfc1"
    }
   },
   "outputs": [],
   "source": [
    "dmap = {0:'Mon',1:'Tue',2:'Wed',3:'Thu',4:'Fri',5:'Sat',6:'Sun'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "255f7628-442c-4e5a-998d-6b4b5d084879"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>desc</th>\n",
       "      <th>zip</th>\n",
       "      <th>title</th>\n",
       "      <th>timeStamp</th>\n",
       "      <th>twp</th>\n",
       "      <th>addr</th>\n",
       "      <th>e</th>\n",
       "      <th>Reason</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day of Week</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>99489</th>\n",
       "      <td>40.115429</td>\n",
       "      <td>-75.334679</td>\n",
       "      <td>CHESTNUT ST &amp; WALNUT ST;  NORRISTOWN; Station ...</td>\n",
       "      <td>19401.0</td>\n",
       "      <td>EMS: FALL VICTIM</td>\n",
       "      <td>2016-08-24 11:12:00</td>\n",
       "      <td>NORRISTOWN</td>\n",
       "      <td>CHESTNUT ST &amp; WALNUT ST</td>\n",
       "      <td>1</td>\n",
       "      <td>EMS</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>Wed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99490</th>\n",
       "      <td>40.186431</td>\n",
       "      <td>-75.192555</td>\n",
       "      <td>WELSH RD &amp; WEBSTER LN;  HORSHAM; Station 352; ...</td>\n",
       "      <td>19002.0</td>\n",
       "      <td>EMS: NAUSEA/VOMITING</td>\n",
       "      <td>2016-08-24 11:17:01</td>\n",
       "      <td>HORSHAM</td>\n",
       "      <td>WELSH RD &amp; WEBSTER LN</td>\n",
       "      <td>1</td>\n",
       "      <td>EMS</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>Wed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99491</th>\n",
       "      <td>40.207055</td>\n",
       "      <td>-75.317952</td>\n",
       "      <td>MORRIS RD &amp; S BROAD ST; UPPER GWYNEDD; 2016-08...</td>\n",
       "      <td>19446.0</td>\n",
       "      <td>Traffic: VEHICLE ACCIDENT -</td>\n",
       "      <td>2016-08-24 11:17:02</td>\n",
       "      <td>UPPER GWYNEDD</td>\n",
       "      <td>MORRIS RD &amp; S BROAD ST</td>\n",
       "      <td>1</td>\n",
       "      <td>Traffic</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>Wed</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             lat        lng  \\\n",
       "99489  40.115429 -75.334679   \n",
       "99490  40.186431 -75.192555   \n",
       "99491  40.207055 -75.317952   \n",
       "\n",
       "                                                    desc      zip  \\\n",
       "99489  CHESTNUT ST & WALNUT ST;  NORRISTOWN; Station ...  19401.0   \n",
       "99490  WELSH RD & WEBSTER LN;  HORSHAM; Station 352; ...  19002.0   \n",
       "99491  MORRIS RD & S BROAD ST; UPPER GWYNEDD; 2016-08...  19446.0   \n",
       "\n",
       "                             title           timeStamp            twp  \\\n",
       "99489             EMS: FALL VICTIM 2016-08-24 11:12:00     NORRISTOWN   \n",
       "99490         EMS: NAUSEA/VOMITING 2016-08-24 11:17:01        HORSHAM   \n",
       "99491  Traffic: VEHICLE ACCIDENT - 2016-08-24 11:17:02  UPPER GWYNEDD   \n",
       "\n",
       "                          addr  e   Reason  Hour  Month Day of Week  \n",
       "99489  CHESTNUT ST & WALNUT ST  1      EMS    11      8         Wed  \n",
       "99490    WELSH RD & WEBSTER LN  1      EMS    11      8         Wed  \n",
       "99491   MORRIS RD & S BROAD ST  1  Traffic    11      8         Wed  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Day of Week'] = df['Day of Week'].map(dmap)\n",
    "\n",
    "df.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's combine the newly created features, to check out the most common call reasons based on the day of the week."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "6a417f2b-36cc-4b43-a752-58cb9c6fee18"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x116d9cbe0>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hP7rcdy9lu3jxonx9fZWTk1NvueBgx90g5DQ3zBw8eFDduln/QPXr109dunTRrFmzdOjQ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\nFBERERGb/R+72r1NPGUAigAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116d9f518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(df['Day of Week'],hue=df['Reason'])\n",
    "\n",
    "plt.legend(bbox_to_anchor=(1.25,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It makes sense for the number of traffic related 911 calls to be the lowest during the weekends, what's also iteresting is that Emergency Service related calls are also low during the weekend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "acacaba1-a7c1-4698-b868-ae369c27d920"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x117dd1c88>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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it4bH9957T8ePH1dsbKwkqba2VtKZK6Xvvfde7dmzx27+srIydenSRZLUtWtX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\nAABrXwHy2qpDZh0xSAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117368d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(df['Month'],hue=df['Reason'])\n",
    "\n",
    "plt.legend(bbox_to_anchor=(1.25,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's check out the relationship between the number of calls and the month."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "39204883-e77a-4e9e-a737-de548b8fb932"
    }
   },
   "outputs": [],
   "source": [
    "byMonth = pd.groupby(df,by='Month').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "5386bc5c-9929-4d1d-b0a2-c0a28402f45f"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1031d65c0>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kpBdz6mIJmbnFONpZ6bVmfZCfUf2TPtWvvy68uVFGEWSqqqp4+umnuXjxIl99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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116f53048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "byMonth['e'].plot.line(y='e')\n",
    "plt.title('Calls per Month')\n",
    "plt.ylabel('Number of Calls')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using seaborn, let's fit the number of calls to a month and see if there's any concrete correlation between the two."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "2f349d5a-654f-4119-88b9-11224796cc40"
    }
   },
   "outputs": [],
   "source": [
    "byMonth.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "89afa051-23ed-4b46-afb7-0792e16fbae2"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x109aa7fd0>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1HnroIUaNGsXYsWNZvnx553awixmcFMVjPx3NhCv7NakDvuWbIrKWbWFLkNQB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\nqlqFyPkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10423f1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x='Month',y='e',data=byMonth)\n",
    "plt.ylabel('Number of Calls')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, it does seem that there are fewer emergency calls during the holiday seasons.\n",
    "\n",
    "Let's extract the date from the timestamp, and see behavior in a little more detail."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "7d147fb7-5641-4cb7-b796-e5938168565f"
    }
   },
   "outputs": [],
   "source": [
    "df['Date']=df['timeStamp'].apply(lambda x: x.date())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>desc</th>\n",
       "      <th>zip</th>\n",
       "      <th>title</th>\n",
       "      <th>timeStamp</th>\n",
       "      <th>twp</th>\n",
       "      <th>addr</th>\n",
       "      <th>e</th>\n",
       "      <th>Reason</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day of Week</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.297876</td>\n",
       "      <td>-75.581294</td>\n",
       "      <td>REINDEER CT &amp; DEAD END;  NEW HANOVER; Station ...</td>\n",
       "      <td>19525.0</td>\n",
       "      <td>EMS: BACK PAINS/INJURY</td>\n",
       "      <td>2015-12-10 17:40:00</td>\n",
       "      <td>NEW HANOVER</td>\n",
       "      <td>REINDEER CT &amp; DEAD END</td>\n",
       "      <td>1</td>\n",
       "      <td>EMS</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>Thu</td>\n",
       "      <td>2015-12-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.258061</td>\n",
       "      <td>-75.264680</td>\n",
       "      <td>BRIAR PATH &amp; WHITEMARSH LN;  HATFIELD TOWNSHIP...</td>\n",
       "      <td>19446.0</td>\n",
       "      <td>EMS: DIABETIC EMERGENCY</td>\n",
       "      <td>2015-12-10 17:40:00</td>\n",
       "      <td>HATFIELD TOWNSHIP</td>\n",
       "      <td>BRIAR PATH &amp; WHITEMARSH LN</td>\n",
       "      <td>1</td>\n",
       "      <td>EMS</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>Thu</td>\n",
       "      <td>2015-12-10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         lat        lng                                               desc  \\\n",
       "0  40.297876 -75.581294  REINDEER CT & DEAD END;  NEW HANOVER; Station ...   \n",
       "1  40.258061 -75.264680  BRIAR PATH & WHITEMARSH LN;  HATFIELD TOWNSHIP...   \n",
       "\n",
       "       zip                    title           timeStamp                twp  \\\n",
       "0  19525.0   EMS: BACK PAINS/INJURY 2015-12-10 17:40:00        NEW HANOVER   \n",
       "1  19446.0  EMS: DIABETIC EMERGENCY 2015-12-10 17:40:00  HATFIELD TOWNSHIP   \n",
       "\n",
       "                         addr  e Reason  Hour  Month Day of Week        Date  \n",
       "0      REINDEER CT & DEAD END  1    EMS    17     12         Thu  2015-12-10  \n",
       "1  BRIAR PATH & WHITEMARSH LN  1    EMS    17     12         Thu  2015-12-10  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "4607c7ae-f705-4723-98ed-36f205ff9262"
    }
   },
   "source": [
    "Grouping and plotting the data: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "7deec6c3-81e3-476d-9679-125c441bfcef"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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X4uDBg1o2R7eIIkZLMaOs0wTEqoJzwTCCoTAsZpNm35euxJUcoDpNSXPkdAd8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sTsimKc/cdJ+nd2ZhrSnHYAitGU5rT32T0RjcwMplCo2UINYYfd2DlKlNwsXjlO9f2jZfHcMvzu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\nCCGEECpI0iSEEEIIocJ/AGUO7hHdYdKlAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10420cb38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.groupby(df,'Date').count()['e'].plot.line(y='e')\n",
    "\n",
    "plt.legend().remove()\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "792c7f5f-53d2-433b-b3c8-52c922964135"
    }
   },
   "source": [
    "We can also check out the same plot for each reason separately."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "ee5b5233-0913-41cc-869e-a05d5176c141"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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O920QV/VcQUEBNm7ciM7OTtx88824++678bWvfQ3f+c53YLVasX79ejgcDlRXV+Oll17C\nunXrMGbMGADA+PHjsWbNGtTU1GDx4sXo7e3F2rVrh2VSJHEiq+dGaCCEEEJIihF3ssq0adOwceNG\n0+cmTJiATZs2RX3vokWLsGXLlni/kpxDIvs0BUdoJIQQQkhqwQV7iQ7jsins00QIIYSoUDQRHRHL\nqDA+RwghhACgaCIGjCKJC/YSQgghKhRNREdEeI6iiRBCCAFA0UQM0GkihBBCzKFoIjq49hwhhBBi\nDkUT0RHZp4miiRBCCAEomoiBiD5NdJoIIYQQABRNxABbDhBCCCHmUDQRHYGgvgM4RRMhhBCiQtFE\ndBg0E8NzhBBCSAiKJqKD1XOEEEKIORRNRIdxgV46TYQQQogKRRPRQaeJEEIIMYeiiegw5jSxTxMh\nhBCiQtFEdBir5xieI4QQQlQomogO9mkihBBCzKFoIjoiO4IHo7ySEEIIySwomoiOiLXnqJkIIYQQ\nABRNxACr5wghhBBzKJqIDqNIYniOEEIIUaFoIjqM1XJsOUAIIYSoUDQRHZHVcyM0EEIIISTFoGgi\nOlg9RwghhJhD0UR0RFbPMTxHCCGEABRNxACr5wghhBBzKJqIjsjqOYomQgghBKBoIgZYPUcIIYSY\nQ9FEdERUzwUomgghhBCAookYiKieo9NECCGEAKBoIgZYPUcIIYSYQ9FEdLB6jhBCCDGHoonoYPUc\nIYQQYg5FE9ERUT1H0UQIIYQAoGgiBiLXnqNoIoQQQgCKJmKA1XOEEEKIORRNRAer5wghhBBzKJqI\nDlbPEUIIIeZQNBEdrJ4jhBBCzKFoIjpYPUcIIYSYk7BoWrp0KVauXKn93djYiFtvvRVz587FDTfc\ngO3bt+tev2PHDtx4442YM2cOlixZgoaGhsRHTYYNVs8RQggh5iQkml555RW88847useWLVuGyspK\n1NTU4KabbsLy5cvR3NwMAGhqasKyZctQXV2NmpoalJSUYNmyZUMfPUk6EdVzFE2EEEIIgAREU3d3\nNx588EFcdtll2mM7d+5EQ0MD7r33XkydOhVLly7FnDlz8OKLLwIANm/ejEsvvRRLlizBtGnTsGrV\nKpw5cwa7d+9O3kxIUoionmPLAUIIIQRAAqLpgQcewJe//GVMmzZNe+zgwYOYNWsWcnJytMfmzZuH\n/fv3a88vWLBAey43NxczZ87Evn37hjJ2Mgyweo4QQggxJy7RtHPnTtTW1kaE1hwOByorK3WPlZWV\noaWlBQDQ2toa8Xx5ebn2PEkdIqvngiM0EkIIISS1sMf6Qq/Xi3vuuQc///nPkZ2drXvO5XJFPJad\nnQ2v1wsAcLvdAz4fDy6XK+73jCRivOkybq/Pr/vb7w/A6XQm/HnpNv9kkIlzlsnk+Wfy3IHMnX+m\nzlsm3bdBrOOOWTStWbMGl1xyCT772c9GPJeTk4Pu7m7dY16vF7m5udrzRoHk9XpRXFwc69dr1NfX\nx/2eVCBdxt3X16/7u9/pxpEjR4b8ueky/2SSiXOWyeT5Z/Lcgcydf6bOW+Z83wYxi6a//e1vaG9v\nx9y5cwEAPp8PAPDaa6/h+9//Purq6nSvb2trQ0VFBQCgqqoKDocj4vkZM2bEPeDJkycjLy8v7veN\nFC6XC/X19Wkz7tztfQA82t/Z2TkJ/U6CdJt/MsjEOctk8vwzee5A5s4/U+ctk+7bQIx/MGIWTc89\n9xz8/nDo5sEHHwQA3HnnnThz5gyeeuopeL1eLQxXW1uL+fPnAwBmz56NvXv36gZ3+PBh3H777bF+\nvUZeXh7y8/Pjft9Ikz7jtkT8mYxxp8/8k0cmzlkmk+efyXMHMnf+mTpvmfN9G8ScCD527FhMmDBB\n+6+goAAFBQWYMGECFi5ciLFjx2LFihWoq6vDU089hUOHDuHmm28GAFRXV2Pv3r3YsGED6urqsHLl\nSkycOBELFy4ctomRxIjo0xRg9RwhhBACJGkZFavViscffxwOhwPV1dV46aWXsG7dOowZMwYAMH78\neKxZswY1NTVYvHgxent7sXbt2mR8NUkyEcuosE8TIYQQAiCO8JyRVatW6f6eMGECNm3aFPX1ixYt\nwpYtWxL9OnKO4IK9hBBCiDlcsJfo4NpzhBBCiDkUTURHRHiOookQQggBQNFEDDA8RwghhJhD0UR0\ncO05QgghxByKJqKD1XOEEEKIORRNRAfDc4QQQog5FE1EhxBNFov+b0IIISTToWgiOoSzlGWz6v4m\nhBBCMh2KJqJDOEtZdqvub0IIISTToWgiOkTit90e3jUonAghhBCKJmLAGJ6THyOEEEIyGYomoiMc\nnrOFH2PbAUIIIYSiiegRoslut2iPBQLBkRoOIYQQkjJQNBEd4fCc7DSN1GgIIYSQ1IGiiWjICd9Z\nTAQnhBBCdFA0EQ05d0mungsEGZ4jhBBCKJqIhlwlJ1fP0WkihBBCKJqIhCyO9H2aRmI0hBBCSGpB\n0UQ0ouU0MTxHCCGEUDQRiajhOfZpIoQQQiiaSJho4blAgKKJEEIIoWgiGrKjpGs5QKeJEEIIoWgi\nYWRHidVzhBBCiB6KJqIRvU8TRRMhhBBC0UQ02BGcEEIIiQ5FE9GQWwswPEcIIYTooWgiGlGr5yia\nCCGEEIomEkbWRll2m/Q4RRMhhBBC0UQ0AgE5PGfR/h1knyZCCCGEoomE0VfPhZ2mAJ0mQgghhKKJ\nhGH1HCGEEBIdiiaiEaBoIoQQQqJC0ZSmtHe78MQfD+KjE+1J+8xoThOr5wghhBCKprTl5fdO4pXt\nJ7HhL4eS9pm6nCb2aSKEEEJ0UDSlKd19HgBAT783aZ+pW3uO4TlCCCFEB0VTmuILtQfw+YODvDJ2\nZKdJF55j9RwhhBBC0ZSu+P3DIJqC0cJzyfsOQgghJF2haEpThFjy+QJJ+0xWzxFCCCHRoWhKU7Tw\nXCAIJUnhM1bPEUIIIdGJWzSdPn0a3/3udzF37lxce+212Lhxo/ZcY2Mjbr31VsydOxc33HADtm/f\nrnvvjh07cOONN2LOnDlYsmQJGhoahj6DDEWE5xQleaJGn9MkrT1H0UQIIYTEJ5oURcHSpUtRXl6O\nv/zlL7jnnnuwfv16vPLKKwCA2267DZWVlaipqcFNN92E5cuXo7m5GQDQ1NSEZcuWobq6GjU1NSgp\nKcGyZcuSP6MMQc5lSlZeE6vn9CiKggef24Mf/fot9Ll8Iz0cQgghI0xcoqmtrQ0zZ87Ez3/+c0yc\nOBGf+9zncMUVV6C2thbvv/8+Ghsbce+992Lq1KlYunQp5syZgxdffBEAsHnzZlx66aVYsmQJpk2b\nhlWrVuHMmTPYvXv3sEzsfMcXSL5okp0mmzW8YG+mhuc6etx4Z98Z1DV248Axx0gPhxBCyAgTl2iq\nqKjAI488gvz8fABAbW0t9uzZg4ULF+LAgQOYNWsWcnJytNfPmzcP+/fvBwAcPHgQCxYs0J7Lzc3F\nzJkzsW/fvmTMI+Pw65ym5CSDG6vnhG4KZmjLAa8vKP07eQn3hBBC0pOEE8GvvfZafPOb38ScOXPw\nxS9+EQ6HA5WVlbrXlJWVoaWlBQDQ2toa8Xx5ebn2PIkPWSglLTwniSar1QJrSDVlanjOPwxuHiGE\nkPQlYdG0Zs0aPPHEEzh69Ch+9atfweVyITs7W/ea7OxseL1qx2q32z3g8yQ+hiOnKWgUTRZVNGVq\neE4WTfK/CSGEZCb2RN84a9YsAMCKFSvw05/+FDfffDN6enp0r/F6vcjNzQUA5OTkRAgkr9eL4uLi\nuL7X5XIlOuQRQYw32eOWw0W9fU44i2wDvDo23B6P9m+P26U5TW6PF06nM6HPHK75nwv6+sNz7ne6\nY94G6TznZJDJ88/kuQOZO/9MnbdMum+DWMcdl2hqb2/Hvn37cN1112mPXXjhhfD5fKioqMDx48d1\nr29ra0NFRQUAoKqqCg6HI+L5GTNmxDME1NfXx/X6VCHZ4/Z4/dq/j9Udh6srZ4BXx8bZs33avz/+\n+CgURXVXWlpaceSIJ9rbYiIdf7cGR3jOZ5uaceRIfMIxHeecTDJ5/pk8dyBz55+p85Y537dBXKKp\nsbERt99+O95++20tP+nQoUMoKyvDvHnzsHHjRni9Xi0MV1tbi/nz5wMAZs+ejb1792qf5XK5cPjw\nYdx+++1xDXjy5MnIy8uL6z0jicvlQn19fdLHHUST9u/xEyZhxuSSIX/mic5TALoAALNmzkSWvRUe\nnw9lZeWYMePChD5zuOZ/LlByOwCoQr+ktBwzZkyL6X3pPOdkkMnzz+S5A5k7/0ydt0y6bwMx/sGI\nSzRdeumluOSSS3DXXXdh5cqVaGxsxEMPPYQf/OAHWLBgAcaOHYsVK1bgtttuw5tvvolDhw5h9erV\nAIDq6mo8/fTT2LBhA6655hqsXbsWEydOxMKFC+OaWF5enla9l04ke9xy9ZzNlpWUz7bZstT/Wy3I\nz8/X1p+z2e1D/vx0/N1s9rDzBost7vGn45yTSSbPP5PnDmTu/DN13jLn+zaIKxHcarXi8ccfR35+\nPr72ta/h7rvvxi233IJvfvObsFqtWL9+PRwOB6qrq/HSSy9h3bp1GDNmDABg/PjxWLNmDWpqarB4\n8WL09vZi7dq1wzKp851gUNElZ/uSlKQsWguIXCZraO+Qm15mErptzOo5QgjJeOJOBK+oqMBjjz1m\n+tyECROwadOmqO9dtGgRtmzZEu9XEgNGkZTs6rmwaFJVU6b2aZK3q5+iiRBCMh4u2JuGGC/gviQ1\nXhTOik0TTZndciAQlNo6sOUAIYRkPBRNaYjRWUq60xTqz2SzZHhzy2HohUUIISR9oWhKQyJE07Dl\nNGW4aAowPEcIISQMRVMa4gvow3FJW0YlJBIYnlPxB5KfbJ+J1DV04eX3TsDD9fsIIWlOwh3Bycgx\nbOG5kEYQYslGp0n7N8NzibP6d7vR0uFElt2G6z8zaaSHQwghCUOnyYQDnziw50jqLiQckQg+bNVz\n6v9dXj9e/+AUzjj6or73fEQvmuiSJEpbl7o8QXt3ei6vQAghAjpNBtq6XPjZUzsQVIAnV3we4yoK\nR3pIEUS2HEhW9Zx5eG77gbPYfuAsJo8txpqfXpOU70oHdOE5Ok0JEZB6inkZniOEpDl0mgy0dDi1\nMFVLR2KL1A4356x6LiSaBKebe3Tuy/mOLhE8g+adTGRBT+FJCEl3KJoMuDzhhXBTNXH1XOU0CfEk\nPy9CLZkAc5qGjhxK9nIbEkLSHIomA7JocntTUzQNV05TtOo5GUdnBokm9mkaMvJ2Y3iOEJLuUDQZ\n0DlNKSqahiunydinyRieA1I3ZDkcMKdp6PgoPAkh5xEUTQb04Tn/AK8cOYY9p2lApylzRFOA4bkh\n45UEPZ0mQki6Q9FkwJ0GTpPfP0zNLaOsPSfTmkHhOR9F05Ch00QIOZ+gaDKQFuG54VpGZZDqOQBo\nzSinKRye8wdSc19IdXQ5Tex1RQhJcyiaDDjTsXrON0xrz1kyWzTpq+cysyv6UNE5TUnaTwkhZKSg\naDKQDk6TsWdQ0ppbBkR4Tt0tbLawaLKH/u3odGXMWnQ+Q58mRcmMeScTed+k00QISXcomgy4dS0H\n0iQRPFnhOc1pUv92ucPznzmlDICa99TZ407K96U6AcN2ZYPL+NG3HOD2I4SkNxRNBjK6uaUhp+ls\nW7/23OUXV2r/zpQQndxyAGAicyLoE8FT83gihJBYoWgykA7hueESTVr1nE3dLeSeTJdPl0RThvRq\nGq4mopmEjx3BCSHnERRNBtKhI3hkc8vhcZpkJo0phj0kpjKl7YA/SNE0VHRrz6Woc0sIIbFC0WTA\n5Qmf2FM1PGd0QIx/J4oxp+nWG2YCAOZcVAGr1YLKkjwAGRSeo9M0ZOg0EULOJ+wjPYBUIx3Dc8mq\nSjJWz/3T1RdixuQyTB5XDACoLMnH2bb+zAnPGaoEmQgeP8bmloqiwGLiZBJCSDpA0SShKIpBNKVJ\n9VzScppCC/bawh3BZ0wp1Z6v0JymDAnP0WkaMmb7anaWbYRGQwghQ4PhOQmvP6jl9QCpG57zBSKX\nUUlGDyHhrOVEuahVluYDUNefy4SeRcPVDyuTMIbkGKIjhKQzFE0Sco8mIH3Cc0BkeXwiiD460URT\nSVGO+jqYGE3xAAAgAElEQVR/MGWT5JNJgC0HhoxRaDIZnBCSzlA0SbiMoskXSElHxSzxOxkuiMen\nzj8n21w0FeZna//u7fcO+fuGi1d31uP7q9/Ah8fbhvQ5w1WlmElE5t9xGxJC0heKJgmjaFKU1DzJ\nm3UAT8YF3RNymqLlnBTLosmZuqLp8RcP4IyjDysf3z4k0RsRnmMieNwYBb6XThMhJI2haJJwuiMT\nv1MxRCcEklhYF0hOZddgOU1FBekhmmQO1iXuNhmXUaHTFD906wgh5xMUTRJGpwlIbdGUnxMufhzq\nul6BoKIJr2hOU1F+lvbv3n7fkL5vOCnIDW+XP799POHPMQrRZPXDyiSMzhKT6Qkh6QxFk4TZAr2p\nuGivJpokcTDUi5F8cYuW01Qkhed6UthpkvsA7TnSgoaW3oQ+h2vPDR3mNBFCzicomiRcZuG5FMzB\nEA5Ifm7Y+RnqBV0WTdGcpuwsmyao+lJYNBkvzH/bcTLuz1AUhTlNSSCiT9MQHVFCCBlJKJok0i08\nlyeF54Z6QZfnGS2nCQi7TanqNCmKEuG6NbfH38E8GFRgzCFnaCl+jPtlsrrXE0LISEDRJGEqmlLR\naTINzw1RNPliE02igi5VWw4ETMROIiFW4xIqAHOaEsHoLNFpIoSkMxRNEuZOUyrmNKkCJ5nhOU8M\nOU0AUFSgfmevMzUTwc1K2o1NS2PBvBcWL/jxYnTn6DQRkrocPtmOx2sOZMz6oolA0SQhRFNhXliM\npHJ4TnaahuqC6HOaou8WRSnuNMnCRoQvE+lebtbCgaIpfiLDc9yGhKQqT7/0EV7dUY8/vVU30kNJ\nWSiaJIRoGh1aLgRI0fBcIDKnaah38PHmNKVqnyZZ2BSH+kol5DSZiKZk9MLKNCITwVPveCIjT3u3\nC8++/BFOnOke6aFkND2hm+Gz7f0jPJLUhaJJQoimUYVh0ZRqa6wFAkGIdJtzXT0HhBtcpqpoksWj\nGGtiTlNkThOdpvgx5jDRaSJm/O8bx1CzrQ5P/ungSA8loxE3NR3d7hEeSepC0STh9qg7TF6OXRMO\nqRaeky/cw5YIPlBOU8hp6nP5EDBJlh5p5Iu0SFpPJBHc2A0coGhKBC7YS2LhrKMPANBMh2NEETc1\n7d2uER5J6kLRJCGcpvwcuxaiSrXwnJwjIncET6bTNGD1XCgRXFGAflfqJYPL20EIPH9AiXv7DNf6\nfpkGc5pILHT0qM5GV58XwRS8GUsVhnsBeXGT0+v0pdy1L1WgaJJwhkRTXq4duTmqcEi1juDyhTs3\n2w7R/HrITpM3xvBcii/aqw/PyQn98f2OrJ5LDpEdwXkiJpEI0RQMKil5XkkF/vLOcXzjZ1uw66Pm\nYfsO+Xil22ROXKKppaUFd9xxBz796U/j6quvxurVq+H1qjt4Y2Mjbr31VsydOxc33HADtm/frnvv\njh07cOONN2LOnDlYsmQJGhoakjeLJCGcpjzZaUqx8Jx8MbfbrciyqT/hUBsvekJhLZvVArttgOq5\nFF+01yw8B8Sf1ySHHsXCyL5Aau0L6YBxTUT2aSJGvL6AroVJV69nBEeTumzddRq9Ti/e3DM81051\n/dHwea+deU2mxCWa7rjjDng8Hvz+97/HI488gm3btuHRRx8FANx2222orKxETU0NbrrpJixfvhzN\nzaoibmpqwrJly1BdXY2amhqUlJRg2bJlyZ/NEBFVVrnZdi2vJ9UsSjnckWW3Isuu/oRDbTkg5jmQ\nywQYnKYUbDsgbx9Z4Jn14Brwc+TWBaF9gU5TfJgtRUOniRgRLpOgs5cXazNEZVtX3/CISuONN0WT\nOTGLphMnTuDgwYNYtWoVpk2bhnnz5uGOO+7Ayy+/jPfffx+NjY249957MXXqVCxduhRz5szBiy++\nCADYvHkzLr30UixZsgTTpk3DqlWrcObMGezevXvYJhYviqLonKbcbDVfKNWcJvnCrYom9YI+1FwR\nkdM0UBI4kAbhOUnkymON93cMBCP7PbEjeHyYViDSaSIGjKKJTpM5Yr3PrmESlcabwg6G50yJWTRV\nVFTgt7/9LUpLS3WP9/b24sCBA5g1axZycsKl+vPmzcP+/fsBAAcPHsSCBQu053JzczFz5kzs27dv\nqONPGj5/UAvJ5OWmbnhOvhvIsltht4vw3LlxmgrysrQ8qp7+1EsE95r0aQIAV9w5TeELfl6oSpEL\n9saH2T5Jp4kY6ezRi6ROiqYIPL6Adm4bLlFpPF7b6DSZErNoKioqwpVXXqn9rSgKnnvuOVxxxRVw\nOByorKzUvb6srAwtLS0AgNbW1ojny8vLtedTATl8k5eTwuE5OafJFg7PDTWnSXOaBhFNNqtF65ie\nik6T36RPExC/+JXDSsJ1ZHguPsxFE7ch0dPeo3c06DRF0ieda/vdftPlooaK8TOZCG6OffCXmPNf\n//VfOHLkCF588UU888wzyM7O1j2fnZ2tJYm73e4Bn48Hl2t4fsiOrvBaOzYEENIicLm9cDoTX4dH\njDdZ4+7rD39OwO+FyNl2eYY2zn6neqLKsmHQzynMy0Kv04fOHuegr032/Aejzxm+O8qyhk8C3T39\ncW2ffmd4vDmhZWU8Xn9Mn3Gu55xqiHn39kduK7fHN6T9NNXhbx///Fvb+3R/OzrjO1ZTgeH+3Vvb\ne3V/Nzu6UD46L6nf0dOr75Hl6Bz8/C6T7vt+rONOSDQ9+OCD2LRpE37zm9/gwgsvRE5ODrq79e3v\nvV4vcnNzAQA5OTkRAsnr9aK4uDju766vr09kyIPS3BkeX0tzI5whcdLT58KRI0eG/PnJGveJs2FR\ncPrUSQT86rjb27uGNM72TvX38/s8g36OFaord7a5PebvHK7fzUjjmfDJpfH0Ce3fJ081YrS9M+bP\nOXU6fLLwedR/9zvj2xfO1ZxTlfpT4SqfLLsFPr+Cnp7+pBxPqU7G//ZxzP9kQ4fu77MtHWm7jwzX\n736yRR8q2//hJxhflh3l1YnR1KG/Rre09yX0O5zv+37coumXv/wlXnjhBTz44IO47rrrAABVVVWo\nq9Mv8NfW1oaKigrteYfDEfH8jBkz4h7w5MmTkZeXXIUNAJZTXQBaAQAXXzQVDmczUNcPWOwJjVPg\ncrlQX1+ftHH3oRVAmzrOT12EooOH0NTRjfyCoiGNM2f3XgAujB41+OdU7nHjTHsbLPa8QV+b7PkP\nxseOkwC6kWW3YvYlM4H/PQsAKCmvxIwZE2P+nFb3WQDqyby8bDQ+PtMMqy0rpm18ruecaoj5jxkz\nFoBaQVuUn42OHg/sWTlD2k9THf728c8/+H4tAOkmRYntOEslhvt37wm2QJz3AaCkYhxmXFyR1O+w\nNYSvgQDQ5w7i4ounay1XBiPd930x/sGISzStXbsWL7zwAn7961/jC1/4gvb47NmzsWHDBni9Xi0M\nV1tbi/nz52vP7927Vze4w4cP4/bbb4/n6wEAeXl5yM/Pj/t9gxFE2KEoHV2EgnzVlfD6g0n5vmSN\n22oLN2wsLipAbnaoQzcsQ/p8kWqSn5s16OeMLlIdRKc7EPN3DtfvFoFFzcnKzrKhsLAA2XYrvP4g\ngoo1ru+32cPbuahAnW8giLg+45zNOUWx2sJ3wgV5qmjyB5WM2CaD/fadPW5kZ9lQkJcV9TXpTDz7\nfrehdUmP05e2+8hwHfPegD792OWN71wUCzabPhQXDCrwBm0oLcyN63PO9/NezIngx48fx/r167F0\n6VLMnTsXbW1t2n8LFy7E2LFjsWLFCtTV1eGpp57CoUOHcPPNNwMAqqursXfvXmzYsAF1dXVYuXIl\nJk6ciIULFw7bxOJFTj4cVZAdbjmQ4ongonpuqImBIlF6sOo5QFq015V6ieBiO2SHtktuqF1AvM0t\n9Yng6jZhy4H4kKsNC0IViEwEB1o7nfjOfa/j+6vfSLkVBxKlu8+DvgSXVRKLw+aFVmHo6fOk5LqW\nI0mfoehmOJLlzSpbmQweScyi6Y033kAwGMT69euxaNEiLFq0CFdddRUWLVoEq9WKdevWweFwoLq6\nGi+99BLWrVuHMWPGAADGjx+PNWvWoKamBosXL0Zvby/Wrl07bJNKhO5QwzC7zYKCvKxw9Zw3kFJr\nIfmNzS1FR/AhlsPHWj0HhDttp3JzS1FVKARPvBcneTuLPk1DrVDMNHSLS4ccFS7YCxxv7IY/EERX\nnwdNbem/QG17twvfvf91/GD1G3FfzN1eP/rd6rE5dfxoAEBQAXr6WUEnY6xUHo4Gl8bu/QAbXJoR\nc3hu6dKlWLp0adTnJ06ciE2bNkV9ftGiRdiyZUt8ozuHiJ1wVGEOLBaLTjx4/QHNeRppIptbJrdP\nUyyiqTAkmtzeAO54eBuunT8B/3T1hUP6/mQhmieKpp85od/N7YnTaQr1abJZLUnbxpmGLDwLc1XR\nRKdJL+B7UvDGI14+Od0FjzcAjzeADX89ghsuzxn8TSHkHk1Tx4/CRyfaAahOSklRfGGh8xmjizcc\nTpOZk97eRafJyHmzYO/BOgeeffkjtHYmVqoqRNPoIvWAz5U6Y6dSg0tx4bZYkntBj7UjOAB8auJo\niNzAk2d7sPGvH+FUU8+Qvj9ZCIs5O9QmIC/BhZfFBd8udV33BYLDvsr4+YTc/VtzmiiatOWaAKDP\nGV9Iq7G1Fxv/+iHOOPoGf/E5Qnbi9xx1oMcZ+/lS7gY+bfwo7d9scKnHKK6HOzxnt6kn+PYeOk1G\nzhvR9NgL+1GzrQ7fve91fPBhU9zvFzvhqEJVNOWkrGhSx5Jls8JisYQv6EN1muLIabpoQgnW3nkt\nbr1hlvbYvk9aB3jHuUNsh3B4LjGnKSBEkyRMFQXMtYgDs5wmnz+Q8cLTJe2L8TaI3fjXj/Dnt4/j\nf7YcTfawEsaY9/ne4d4or4ykQwr/TJVE03AtFZKuGMV1V1/yt4/sAleVqoncDM9Fct6IppaOsMN0\n3zO7sPtwc1zvFzlNo4VoygqH41IpGdxvEAXJW7BXfX8s4TkAmFBVhK9ecyGmjlNPdPs+cQzyjnND\nWDSp89BEU5xOk09ymuy28GFCpyR2dDlNofCcopivSZdJyPtiPKJJURR8clqt6m1LobCJ8fxYW9cX\nc86NcDIsFvWcYgtZ2OwKricip2kYto+cs1lVWgBAL2qJynkhmszuXN87cDauzxA74ehUd5qkizmA\npCyjEgiGV6OPxWmSmfMptVfIh8fbYx7DcDoNEdVzCSeCq2OUl6pRH6doihV5W8ml9ZmeUC8v2dQb\nR3iuo8ethWn63amz7qOxcjcQBI7Wd8X0XhGeG12YA7vNqqVHMDynR1TPiXNRr9OX9HORCKfbbVaU\nFqv5ZB10/CI4L0ST2d1/PAmWwaCi9QoRB60smlKpLFhzUmx60TSUBFv5pBdLTpOMEE1eXwBH6jsG\nfG0gqODJPx7Ev979Kt5PIIQqE014RThNCbYcEOE5m0E00WmKHXmfFOE5wLxKJ5OQ98V4KlBPng3n\nDfYnWN4/HIjzR5bdqi05dLoltpwr4WSUjlIv0uL8S6dJT2/o9x5fUag91p3kCjpxvGZnWbXfQ3aa\nMj2sLjgvRJNZ+Cyek1Gv06slM2o5TZLjkprhOXV8ohze6fYnvFPLTlq8TtPMqWWaqNg/QIguGFTw\n2Av78PL2k+h3+fDG7tMJjTUQCOI/12/H7Q9tg9PkblsTTVkGp8mTWHguy2ahaEoQsa9arRatihEw\n7weTSbg9iYXnTp4NL1Vltu8niy076/H1u1/FO/saY3q9OH/kZttwQaV6UW9o7YOiKHjouVp8976/\no7ndvLVCW6gPUFmx2kFaVMx10uHQ8PoC2jYW2xdIvhsnHOBsuw2lIfHa5/LB6wvgwCcO3HLPa3jh\n9Y+T+p3pyHkhmmSnpCT0Y8fjNMmK3cxpGs7w3OGT7dhzpCXm1xvDc8JG9QeCcVn9MjqnKU7RlJNl\nw6wpZQAGzmv6n78fw5t7wmuRtXYmlpNxsqkHB+vacKq5FweOtUU8Hz7wh9bcMhAKz0U6TZl9wY8H\nOSlfVDPKj2cqrgRFU73kNLk8Ac0NTTZbd51Gr9OLmjfrBn8x9O1KJlSFRFNLH1o6nHh7XyNaO11R\nz3EtITFVVaYmHov0CDpNYeR9ZGJVkfbvZG8j+YazpDjc7qGz14M3axvQ1efBH9+qy/himPNCNMmi\npqJEvWPpjqM5mpy0KA5auS/TcDlN3X0e/Of6HfjFb9/H0VMDh7YExuoweefuSLA81DME0QQAc0Nr\nIB1v7DIVq4qiYFvtGQDQWhXIifvxIPcNMZuvNyIRPDGnSWs5wPBcwmh5cnYrsu1S37MUcm5HAn0i\neOw3Oieb9Iuii6aQyUacD0+c7Y6pI7SWR5hlw8SQaGrucGLfx+GKWrMcLJ8/oCWCjwlVa5UUq+ff\njh6KJoFcOXfBMIomLcwq5TQB6pI/4nztdPtTpr3MSHF+iCbpJFwxWj34nG5/zBe47t7whd48p2l4\nTvINLb3ahWXf0dhK9o2iqSzZoinOnCYAuGRaOQC1MqrecGIHAJc3qJ3gPzWxBICak5HIsgttUozd\n7IQukhmzDS0HvP5gXHdIfil3LMsW3iYUTbHjlfbVLDpNGu4EWg54fAGcadXnCQ1XiE7uxl0bw3nJ\nI4km4TQpCvDqznrtNU5XpMBr7XRBZBSIEndxse51eunqhpD3kbFlBVoPpWR3BfdpOU02nWjq6HHD\nIfU/PHyyPanfO5xs3XUatz+0TWuamgzOP9FUEl5dOdYTUqfU86I4tK5att0KS8gVGa7wnFw2/FGM\nO6K4uxDjFAl7QOLlofqcpvh3icqS8OKMZn09OnrDnz/7ovDK3I4EGpHKQslMJGp9rLL0ThMAeOJI\n6PcHRSK4BXZ7eJXvTL/gx4MQnna7jU6ThMsrN7f0xpSLeLq5B0bNn+habwPh8QV0faRiSR3wSu1K\nhNME6BPXnSZOr5znNKZMLXHXOxx0mwC9G1lUkK3l3SbfaQrf5AjHDwAcXS7dzWoyBUiyeWHrx7jz\nsXfQGnLGNr/xCeqberDl/fqkfcf5IZqki3756LBo6u7z4NDxNvyfNe9i1wB9m7r7VHFVlJ+l9eSR\nl1Lx+IbHBndIounoqc6YSkhF4mT5KHWehXlZmuuUqNM0lJwmQBVw4u7HTLh19IW33+xPhUVTc3v8\nokkWmmYCzWtw4kROExCfYyiWUVHDc+Ftkm4tB04194xY9+hwMr0+xJnuS6n0Or04crIj4TUp5f3Q\nH1B0OU7RkAWIYDgq6IwVWfs/cQx6oyCvJjC6MAf5OZGXFafJWOUQfaVwmkYN3TlPN846+tDYGr0h\nqLxYb1F+1rBVGPoC4SrILLsNRflqm5C6hi7dvn74ZHtKVtL5/EH8/rWPcfRUJ/7+wSl4fAEtZ66n\nL3nLFZ0XosmrC8+FRVNPvxd/fus4jtR34H9ejd5BV+vRVKRfM0letHc4cEjJ0B5vACfORIa2ZBRF\n0XJ6ykarJxeLxRLuqZGE8Fy81XOAWh0lcqvM2u539vq1z54+qURz8BJZ8kYWSgM5TcY+TUB8eU3R\ncpp6nV4cb+xKyZOGkfqmHvzw4bew/MFtSS9PHojnXvsEm99rh9Mtfnerbr9Kt0V727pcONUcFi0/\nf2on/s/ad/Hu/jMJfZ5xP4xlKRVROSeaPwLDE54zXlxcHj+O1A/sLBhXE6ganRXxGrOcppbQTdOo\nwmytClh2mgZbwqOtyzWg2EgHOnvduP2hbVj+4Lao+WPCabJaLcjLsQ9bhaFXS21Qf0dxTv/4VKfu\ndR09noRueIeb5vZ+TdzVN/XgrKNPc2d74uy8PxDnhWiKFp7r6fdqF+b65p6o/Za6+/RLqAg0p2m4\nRJOhq+9gtmev06fdpQunCcCQRdNQ+jQJRG7VQE7TmLJ8ZNlt2mtbE0gGH8xpitanCYjTaZJFk9QR\n/IHf7cF//PrtIfeZOhc8+aeDWuPSxtZz4zY5Ol146b1TOHzahd1H1GrKLLtVE7FAejlNvU4vfviI\nKjzFTY1wfT4+3TnQW6NiFE2xnNDFd154wWjtsWFxmkwKaHYfHjhEF85pUn/jShPR5DRJWm/uUF2A\nMaHu0wB0i/QOlG5Qe7QFS1dtxbIHt6GhJX2F08mzPVq+ZTRHuM8VjoRYLBaUhdy4ZHeFD6c2hCqz\nQ79Fk0m7iHMVojvd3BPzfn5W2n6nmnt0+0U8LYgG4/wQTVHCcz19Hk2YBIMKjjeaOznGbuACzWka\npjtj404/2I4o34noRJNJI7J4kLdfIuE5eQxmd0sdIadpbChvQVjxLR1OBIMKTjX3xJSkrSiKLrbe\n7/LphLAqENTPyTJxmmIJgwjCC/bq+zQJPjoRW7XjSKEoCj48Ht6fhrrMTqzIa2LJAjZLdprSKMH3\nr++c0CpCDxxzwOcPaPtGIhetQCAYIRr7BhFNiqLgdMjpmjGlVHNq+0ySqwH1jtvMherp9w5aDdct\nOU3TJ6lFG2/tbRywwa/ou5UTr9MUumkSSeCAetyKfM1oTsqeIy247+ld8PmDCAYVHDh27pZw+vsH\np/Do8/viXjMwGp3SjW60m3Ox/xXlq9tFRFPaulxJdbyNTpMcKlUft2qC7Vwkg+850oJlD27DinXv\nxTTPs21hcdfc7sSxhnBX+mT9XsB5Ippkp6QwL0uzeps7nDqV+kmUO8OuvmiiKbHFXmNFCDpxEjw8\nSJ6EfJIW4Tkg7PIkuiK1d4jhOQAoC4k4M7dLOE1jyyNF04tvHsPyB7dh3f/uH/Q7RKM13Wf3yBfp\nyIR2XeuIOJwm0afJbrWaiqZYSrFHEuMNwrnqam9WQp9lMzhNadIRXFEUXYNHu82qc0wSuUkxczsH\nazvQ1evRXjNpTDHytYa2ke/76EQ7vverrfjxb97WnUucbh++v/oN/Nv9WwcMi4vKOasF+JcvXKx9\n/6s76qO+xxieqxwVFk0iR9TUaQqFeESPJoFwzs2c5PZuF1Y9u0uXW2jM93r/wyY88vvapDsxTrcP\n6148gK27T+O/XzmclM+Uz1/Rbs5F+FaIJmEMeP3BuPoRDoaWgyja2RjSVSpL87WefOdCNIkVJuqb\nenSCKBrG12w/GF5Kzen2Jy0f9bwQTWJns1rUg3RUobpzGXOEBhVNxpymYUwEd7p9mqC7NFSy3+v0\nDhijl08iZZLTJGLPnT3uhJJTxfazWS26xWnjQQ4RymNwefzod6s7qxBNVZJo+vsHpwCognEwzE6C\n8jaR3ZQse6RocsUhHKIt2CuIJRTa0+8dscTx9w7o821c52j9RDMbPCvLmAieHk7ThyfadSdip8en\nu/gnIpzNxOtgd8Gnm8PnhIljirR1/MzCFm/tVUXeGUe/7ng5fqYbvU51f4x2HgSkopiCbMybXokZ\nk0sBADXbjkXNCfT69E7TmJIsVJXmIdtuxVVzxgGIFHh9rvD5r0oKzwGSc25yjNUebdWcOrGkiNwp\nXV15YD+21TbqWh4kg2OnwwnRW3edTrjXnIzc1TvaTZ3YPwpDidlyNMVMWCaKyDXMMjROFlSW5GPa\nBeoC7U3tzmFvciknuscSDjxrCG86DA2UjcdZotfL80o05WTbYLFYNHv3eAyiye3xaztrRE7TMCaC\nyye0z829QPt3XWP0hS5F5VyB5KYB4Z07EFQSsiE9omQ4wXwmAJpt6w/ox9DSEZ6nCM9VhVoUuDx+\n7cTTFUNSo2k7A+kxr040iWVmEmw5IOU05WTb8KmJo5Flt2LimKKoY5H56LQT31v9Nh56rjbm70wW\niqLgXcOC1fE29xyIPmnZIbPnjGTZrbBYwmFOX5o4TVt21uv+drn9uot/R68n7guHWYh4sGP2VEvY\nSZlQVYT8XPXiadZyYP8n4b5KjdJFpFkSfwOV8ov8zuKCHFgsFnz9+otDj3vxyvaTpu/xGs4fdpsF\nDy2/Av99zz9qOVguj1+3z7TI7QZK9U5T2QA5msLhqCjJw6I54wEAp5p7td/hjKNP257Jdpo+aQhf\nPwJBBZu3fjLkz5TPX/E6TUBy5+iV+jQB+sbJgLrNRR/EYFDRhRbN8AeCQypWkEVTLM6WUTQZkW/o\n3trbiFt+8RrufnJH3OkC54doMtjDxQWq+DHeibV2uiLi5F0mS6gIcocxp0lOAp8+qURzMwa6GLd3\nqc+VG2LNQ21wKcREoqE5wFD1Is1Bvhszhudk+t3+Qfv3yCcIEdKUv0sXZgxdoOU1z1xxhFnDC/Za\nYLFY8F/LF+GZu7+Iq0MCt6PHPWCc/b3Dqjuw/eDZcx7Kq2vsikiyT1Z47uNTHfjWPVvwn09sN32+\nxzQ8p+5XyVhcOln0u3z47V8+1HWtlulzerHjoD7Zv9/t1/UbCgaVmMS+jFmov7d/4AuLcJoqS/OR\nl2PXnCbjBam5vV9X1SRfRORk3oGqrkS4R7j1sy+qwMwpqtv0Zm2D6XuEEy+fP7KzbCjMy9IWalYU\nvWBslvbPaOE5s/Dn4VAu4awpZZgyrhiAetyLuR6VFg2Pt2LU6wvgha0f4+295mvuGavItu4+HXVN\nvWj4/EFs3vqJFjrqGCSnKRAIauFUYQaUSed/YzGREbfXH7ObMpjTVFWaryu0Mjo5us/yB7H8wW24\n5RevYeehxIpm5PzIw4PkkLq9fl2+qxlyKFP8xgfr2vDknw7FlRt2fogmgz0sdi4zjp3WOzlmS6gI\nxOcNR0dwWQBUlORpzcQGWoRRW9xSutMA9Al7idi14iKWaBI4oD+Q5ROBOInbrBYtgbHKRDQBg/cd\nEfPPz7Wb3o36TJymLLtV6yEVj9PkEwnlITFrs1kxqjBHm6fPH32tv4aWPjR1hJ/b9VH0HmHDwZH6\nyBNMPIJxIA4db4c/oCaZmzkd0ZwmIJxgmgqJ4H/4+8f4yzvH8Zvn95o+39zujAitOt0+uAy5OfEe\nb3KIWHQPiDU8J9YdK9TCc/qxGBfMlqux5DDjQDdWWiVx6MbTYrHg8umVAFS3yuzi4jEkEMvk5Ybz\nm8s3ZSwAACAASURBVOTQpmg3YLVadM4JED6f9bl8uhvWjh63Jv5mTi3DlHGjtOfEunzyvt8dR76P\noii47+kP8NyrR/HrP+yN+E0URdEiFZdPr4TNakEwqOCJPx6M64L7wusfY9OrR/DQc7Xoc3p1Atbs\nOnOwrk07zi69UE3jyM22a67TQDdkJ85049/ufx3fue/vODDAuqACY06TUTRVlOhF00AuV31TN844\n+uDxBvDA73Zjx8GzUV8bDfl60NTeP+B+2yTt3xOkBqsy4jcNBhV8LC1b9tr7p7Dl/VMxj+u8EE1a\n1n8U0TShqlB7zhiik3+YyD5N6l3ScITnhEovyLUjPzdLK+8cyPJsNzS2FBhb3seDPxCMcOoSQe80\nhQ+m5lB4rrIkD7aQACkfnQep3YzGYMsCCKetbFSeabWeTjRJnc3F7ygLh8EWOw07TfpDJJZt/e4B\n/Z3V+x+eW9F0qkm9yFaV5mvjTVZ4Tv4cs7tss/J58Vtkh5xbo/A41/gDQe1Os6PHY+rCyeJGnE+c\nhvAcEL9okrdfaeg4Hkg0KYqC06HS6Umh0HC0nKYI0SS1mWjWOU0DhOdCQqO4MHwOFeF0rz8YcWPj\nDwQ1J8MsvC+cJkDvjIl2A+Wj8yJyBo3rngnkvJZZU0pRVZqvhd/FunxHJTcoHqfpr++e0BYcDwSV\nCJerrcutbbdFs8fjxkVTAag5Vlt3nY7pO1o6nPjjW+oiyP5AEI2OPt0ae2Y3daIXWEGuHXOlxsDi\nBjSa0+TzB/DrP+xFd58X7d1u3P3UDjz/+scRrztU14YX3zwGjy8QcR2Vu4ID6n4wuihX6xXm6Iqe\n0yWvTxcIKnhg05642hQoihKxrw30fvmm4LOXjtP+LV9nekKOrhrCVf8tBOLzf4/cNtFIW9GkKIqm\n8MXOJg5ao2iqKi3AhaEENmNvFTnOKdS7IJHwXKxWqNjZxV1WTE5TlPBcfq5dm3usoqm1w4kV697D\nv9z1irZUwlBymvJzw3lWHSbhuarSsNCz26wRbhkwsGAE5G7ouabVenKCsVytlScW7Q3tJx8eb8O/\n/P9/w2Mv7Iv6XeGcJr26KxtlLg4FgaCiiSYRQjxY50C/y4dgUDknTTHFCWvy2GJtH44nCX4g5M8x\nE01mjRrFiUnkrjSOUIdywb6PW3UC3SwMJN8oiYu40+2LWA6kI87QqxyeExe+gZpbdvS4NXEk8uny\nQ0JELuMPmJTenwldSBRF0d2JD3ScGZ0mQB9ObzFU3ulXE4i8nORLTpM8XnFeMOYzAdFD/YdDF82i\n/GxMqCqC1WrB5LHqef3k2R70Ob263jzdfbEtUXPiTDeefukj3WNGISvnM31q4mh880sztET0DX/5\nMKbcomde+kh3Y1fX0KXbfsbrjD8Q1EJbn7l0rG5lAlE9He17//D3j1EfOg9k2a1QFOB/thzFh8fb\ntNcEAkHc/8wH+O9XDuPdfY0mjYHt2r4GAJWlebBZw32iBgrP1Ydu3PJy7CjItWuuXKw5gC6PPyKM\nf3gg0RQ6p9isFiyYWaU9fkFVkXYOF7+p7DL94xWTAcQnsNNSNDndPty1fju+e//r6Ox1R/SXKC7Q\nK+SK0XmalWtsICafBOXkakBubhnbBefdfWew+K5X8L9vDJ4gKHb2itBdnGjqFk30ON0+LSfAKDjk\nruBtXS68VduAQ9LBYWTv0Vbc8chb+OhEO7z+oPadQwnPAWFBIbc+EE6TMSQnGtqJ5HAgBqepOyw0\nzcqSzcJzgNQ6InQhfGtvIzzeALbVNkR1nOQFe2VKJZfP7GJ7qM6h3T3edNVk9bMCCp768yF8+xev\n4d6NH8QsnOqbevDnt4/HLdpF9+pJY4u15p7Jc5rCYzHrCmxaPRfahuKiL1eDJQNFUbD7cDNeee9E\nTKG/N/foc3PM3CLZfQqLJn9E6fxgeRRGZNEp1mwcqGxcVzlXpebwmDlNxxu7tDDOJdPUsnBHpxNe\nXwA9/V7duKPdmPn8Ae11o2SnSRZNht9cv26lidOUZx6eC5//Im+edE6TFL4SFbYzp5TCErojmRzK\nazp5tjvihtjrC8SUWlF7tCXiZjdCNIUcrLwcOy6oLEJOlg3/8a9zYbWoF/gX3jg+4HccPdWhK4EH\n1OpMGWNE48Axh/abXjV7vO65cqlXk5FTzT2oefMYAOCyC8vxxIrPa46fXFF4tq1fW0hdDUeH2qxI\nN5ziumS3WbR/lw/icokxAMBFE0bj2//fTADq+UxUSw+G7DKJm/mB1mc96wg1Si0rwKSxxdoN64TK\nIs0MEeemI/Xqb1k2KhfjQ3m2oglwLKSdaAoGFfzq2V348Hg7HJ0u1B5p1VXPAfoDHlAPTHFB7zQk\n8IoDOS/HDqshZhRP9VwwqGDTliPw+gIx2bVCpVdoTpM6vmiJpfLBYQzPAeETzbY9DXj493txz4b3\nTW3/QFDBI3+oNS1XHqpoMgoZRVG0E3T5aL079tVrLsSnJo7G0q9cqrkhA7lsQNhpKxsV/j3lhGy5\nKksucRcWvrgQiqpKf0CJuHMW+EMnUWN4rkBy9cz6Yonk4dwsC26+Zqo2zjf3NKCrz4M9R1p0DQSj\n0dDSi/+79l1s/OuH2PjXDwd9vaC106ldKCaPKdZuBJKVlzdYeM5snxMCduIY9QLX0eNO2mKz+z5u\nxQ8feQv3bvwAT/zpUIQgMtLn8uEDQ46ZmWMoi0Od0xQRnovTaZJEkzgmRMdnM0RozmIBLgjlahRK\nieBi3xfVRVYL8I+fmQxATb5uauuP6Ojc3ecxvVmQxZvsNJUU5WohNGOPp8GWYMrPMQ/PCbfLmDcD\nqGkS4qInbkz6XT4tBDcz1CsIgHYz3N7tNs0djMVBEOJf7ktkzFcUTtNFE0Zr14npk0rxxdC23n6o\nGT3O6MeYaDRrs1q0ghijc2K8OXpvvyqyCvOydAudA3KDy8iClIPH2rTlQ+74l7moLMnHNfMnAFDP\nT2KbnJZcOfncK+emid+nYnS+Nm9RQTegaGoK37h98TOTMXmseuxv+tuRQZu5Gsczf4bqHNU39US9\n+Tvbppoh4yoKkJttx8UT1cass6aWaZEncW46GnKapk8u1UVXYs21TDvRtOX9ehw4FnZRnB6fJmqi\nJYKXj87TlcTLJwdxIMuxd4H4PK8/OGjY7WCdQ7PAB+vUGgwq4VCTEE2hA9blCZiWJct3tGWjI080\nYucWlqbXF8Bxk/YFPf0e7aK9+PMX6dayyjax1+OhzNCZ3O0NaNvNuH3nz6jCwz+8GvNnVMW0AKXs\ntJWPztXmKydk68JzWSZOk0dtcFYvNcMTdyhGhNNkzLeQXT0zh6Ih1GdrQkUOsrNs+PSsMRGvGcxR\n63P5cP8zH2iC/vUPTsW85Ey9lEswaWxRODyXJKdpsPCcODHJOcFivxKJzAC0DtdDwen24ZdPf6Br\nbmiscDLy2s76iAVoB3OaROjc6fYPORFciLGcbJvmiPc6fVHPF+LiM6a0QOs5JkJeQakiTbQRGFWY\ng0+FLhiA6qw3GZr+KYr5PiiL+VFF4XOo1WpBZcgRMvYmGmyx7/w8OTynjtXnD2jHrLxsisAeKroA\nws77J6c7ITbRrKml2mtFBR0AbN2tCmb5QhibaFK3z5Txo7TzoXxhDwQV1IW6S188qUT33q9cPQ0W\ni9oMd9cn0cPO4jpTmJ+FqeNVoWe8STTenO8+oorAKy4dG9FgV1w3/IFgxE2YmHNRfpbmEoowlD8Q\nxBu71Zt62cWUIxzydUD0ZbpoQnj5HuEORgsN9vR7tblNGlMMm9WC7/3TJQDU84P4nQZC3j8vmaqK\nZEWJHokR53ERMr3r1oX4+b99Bl/67GQUhfRAT78XfS6fNu/pk0r1a2LGWNWbdqLpdYO955RK1aOJ\npgopnAPoN7zmNOVGtv6Xy9UHK4ffsjM8Lq8/ckeW6e73aD+Q2AGjJT8K2mN0mmTMVkaXx3XZheX4\n9CXhi7qwvBNFExM96ljlO8t8k+0riGUBSrnqUXaagPDv6TNpbglA57Y0tPTqbFiz9Z4URdFi73Z7\n5DYxikMZ0Q+ntFD9zi9/bhomjinCHOlO0cxNVBQFjz6/D4tXvoxv/XwLzkhizh9QsDmGkC8Qvsja\nbVaMqyjUwnPJKmaQHZgmQ6gmGFQ0B2lcafgYFL+FSGQG1N46Q+VUU6/2m4sV2U8NIMa27jqF//6b\n2sl5yrji8MnfzGnyhsuvhb3v9PgjlgOJWzSFxFheth3FBSHxE1Qiwn6//cuH+Oe7XtYucBOlbSeH\nvEQFndjuhflZqCzJ0/I4zEQTYO7qygJjlCHFQW5IKzOY05QtVa86Q2OUv9vsvCU/Ltxcee3EyVLV\n3OSxYTdVnKMvv7gyPKcYKuiEaBpbVqD91vKNdWePO+zeji3WvXdcRSEWzlTPoXuO9UV1QoSzn5+b\nhXHlBaavkbelzx/QztXTpPUGBfI1wCheukzWUp00plhrVLrl/VMIBhXdjYt87pVTG75x/XSs/PYC\n/KD6svB3hwRbT7/XtIjidIv0W41V99vLLqzQHLZYFlmWb6DlKkmz/bbf5dPmLLZtSVEu5s+ogt1m\n1f2mn0g3VdMnl+iEfqwrFaSdaDLekPVLZanh8Jz+gC8fnadr1CU3dxvQaZLuWAYKb3T2uCMWcB1o\nqQJdqM2QCA6Y7xjCacrLsemS8wSyiBDaR+6UK+iWPntUYY5m5QP6BLlEEMnZ3X1e+PxBXQjQbMyC\nwZymV3ecxD2/fR+Aam9PGlNsWq3ni5IILsK1DS29EcuLnDFZyFbE9oFIpwmIFIcCjy+g/U4lReq+\nM66iEOvuvBY//sbl2uvM5tne7cbW3afh9obXNvvCwon4/ALVVt+6K7aeMMJpmlBVCLvNijytcjD5\nTlNbp74sv9/t047PC8ol0RTahoX52SgN7efJcJrqpc8QjQ5PN/fqXOF+lw9/eqsOv/jt+3hs834o\nitpa5CffmBdefmgApyk3O3y8BYNKxLHZ3h3f+l/id8jNsaFQKjyRw5qdPW785Z3jcHkCWphFdjgK\nTZKrRYivMC8bNptVu0DJokleh1G+MWvrcmHHwbO6u/tiQ4qDSAY3Op7yhcbMabJYLNoNkxjrQBXL\nAmOvJhF+KR+dp/ue3Gw7fvWDK3HjoqmYPLYYE8cU4V+u+5T2fPcgIX+fP6idj8eU5aOoILJxqHwe\nM2tn85V/uBAA4PYpeGufeWm9yJ3Nz7VjXLl5Sbx8Y6Nz/Qojv1PX4NIg+qMtQP+lz04GoIZsD59s\n14fnemTRFD7n5ebY8dnLxun2VTkPzdRtl0STCMkD4SrMgRLIBWIfyc+163LqzJwmsW8A6vnWiBye\nEy0psuxWTBs/yuA0xXZjGf1KlibIoklsgILcLFgtqn1tsagXczmZu0O62Ik7PDMnRD44B0rGfX3X\n6YiqAEeXS2eTy8gOhRA7utW9zZwm0aNpVJ6pI3TV7PF47f16XDSxBD5fENsPnjV1mox9qSaNKYY1\n1HPkH6+YEnWOsSD3i+rscev6yOTnDC6azMTioeNteLzmIAD1911282xUlOTB6Q5/XmNrH+ZNr9Kd\nwOUFYi+/uBJv7G5Ae7c7IhHRzGmShYCZaNIq9wwnDFnUCKdJUFyQo+2TZqER+QT25c9Nw4SqQnx+\nwUQ4Ol3YVtuIQFDB33bU4zs3zop4r4ycBA6oF2cgec0t5TvpoKLeHIiLgHzhH1+WjYI8O/pdfq3Y\nAVCTmTt6HDjd3Au3148Dnzgw5+LKhPLphKtWWpyLS6aV42876uH2BtDS4dREwxN/PKgtLQKo+9r9\n3/8sJo4pDv2OnQNWz+Vk23XnBmMOk9urJk/L7s9ACKdO7rUDqHfBY0JFEbVHww03F3/+IlSVFuAf\n5oVXDcjPC+9b4oIuKvDEOMaVF6KhpQ9nHf0IhkTd9Eml2B+qsJOPtV9u/AAnznbrquSK840VyCHR\n1OlCMKho+S3yeTFa9W1+rl2XjC6f36I5TWWGpVRESbmZS3PhhNG4UAofKYoCu82qhq5MnKaTZ7ux\n7sUDuP7TkzBrapkmTMeUFaAwL9JpkgWU2e88c0opJlYV4nRLHz480YGvXhs5H2foXFiQm4VxFYM7\nTQO5foA+R9ToNAnBZew7+NnLxmHt/x6A1xfAzg+bdM1Pu6LkNJlRIQk2R6dTC4kJhNM0pixfV1xV\nESXEa4a8Hqws/syiEXKKhZkg1RLBnV4tN23a+FHIstsMOU3nqdMk0Cxztz8ip8lqtWhxzJKiXGTZ\nrSjIy9Lch3ZdeE49IPJMnBD5zmygCjpRsj99UonWF2IgNd0h7aBCLMl3XGbhOfF5ZaPMTzIVJXl4\nYsV1+MnX52kx88bW3ogdQT4YiwuyYbVasP7/Xovbqi/Dlz83NeqYY8EYMut3x+Y0lRRGd5re2XdG\ne/8j//E5XBtKaMzPzcKEUI6M6AKsC89JYmfe9CotRGBs/GjWej+gE02RAlWc6Lv6PDqBJS9VUVqk\nn6/NatFyWMzm2SAl/H7zS9Nx/Wcmwx5yDERSYzSnKRhUcKiuDWccfVpYb3LoDk8LTSapuaUx/NDc\n7sTp5h40t/fr23fk2XDXLZfjR/86F/NmhEuAtQq6ll785g/7cN8zu3Dfxg8SWgOqXmqtIIdN5Lwu\nkb9QNioX/3T1NDx0x+e0u1+RG2iWzK05Qtl6Z1dcoEQ4MNr7AfXifaiuTXfMCacuL8euO+bl1+w5\nqp5Pqkrz8a0vzcD1n5mkE5W68JzmNIXDc0A4t0N2mqZKd9biHKMo4WpL4SIV5WdFFEAI0eQPBHUX\nrsGq54DwDak418rnN+OisIJw3qDq5DWF9uuxUUJbMhaLRXNnzHKann35MD4+1YlnXv5I199nTFmB\n5krIbSDk85iZaLJYLFpLlWgNb50eEZ6LzWmSRZuZu5Vlt2miKHp4Tv++nCwbLgs1yNy667TOUZcP\nv6xBclv1oily3xeiadIYfShT7EOOTueg7qxIYRhdlIMsu1XbBmZLAInfMNtuNb0+hkWTDydCkQax\nvE9G5DQJxMbpd0c6TUC47YD4gS0WS3ghSOnOUiQnFpjmNA0engsEFS0MdumF5drB7hggPNfVEw61\niYua3SbtGIaLqqIo2pp0E6Rk2mgI0eQPKBHx4y4tSTBbOzGOKy/Elz47ZcC8o1goNbhlck6TWfhT\nMDq0zVwev84RCQYV7PpIDXsumDEm4iCcHgpZiIZ2wl612yy6SsiCvCxtUWSBqEBq63ZHCAHfoE6T\nOl5FiexaC6jCZ3RB5HwHctSEaKosydctMiy/z+wCEAgqePSFfbhr/XZ8f/UbmvjQnCYRnktanyb9\ncfD23kb88JG38KNfv63LncnLtuLCC0bh2vkTdcUGQrB09Xq0Euz9xxxxL66qKIquQmdceYEWVpBD\nf2J/XzRnPL570yU6q7+sOOQYmqwhJy5guTl23blBNEi9oDJ8HEbLa1r/x4O4a/123LNhp3aRcEti\nTBYMok2FPxDE/tDSLvNnVJm6yvJ4NKdJiKbQfj2+Ur0w9/y/9s47PKoq7+PfO30mvVc6QkICJKEo\nEpAElBeUsmJXnqWJDdRdXcXGuhZQF8XC7mt3Fd9lBeuKLLsr9gXpIGsIQigJKZCQnplkkpn7/jFz\nzpx7587MnTQScj7Pw/OQmXvn3nPvKb/zq012ugAnx4VQ8yjR4DTZWr3aLk/ZAshyNTGaAknpIh+L\nbQgVmtxO6+7+bzbqqM+dHKJRsrU4UFbVRKNcfQkccoh2Qj5mztXZaH2+Bmsr9jFldBKjLVToZLWm\nrHlOaZ0APMKqr5xbRNNkMekREWpQ3ERKNE2s0KRgngM8Qr88iq2O0dLIIZFoch86FrnTuRxX7VPX\n2igX2JyiiBK3y4Pc/yuOTZIawEGfzKtk7mMLwsshG9/kuFCvCHjAI3Q6nSK9Llkj+4RPE4FMONbm\nVo8jOCPkJLrrGaUyKdWVHryt2bMDkKPGPFdW2UgFqiGpkbRj+AvHJJomeeSIr45RXtVEJz7izOcP\nNqJE7tdEVbdhygOxI7A7ogZrKxVIgQA+TczgZoWQoyU1dDG5ZKR3FFqa+1lU1dpQVWujkYN6BfXy\nJSOTJH9fOsqTNbZM5ijb1qbOpwmQahnI78RGmBQ1VKSdShMGcXRVEorJc5UHFzicIl782z7FMPuB\nMvNci93R4arkoih6CZhf7SlBm8PlAM4uQBaj8tTCOoOzvLP5Z0WHZV+waQsGJoVBq9Wgn1uQIZom\nURTpAqKk0SDCr9Mpei2urE+TkhaafU9KmqYvd5/GP7afBAAcO12Ho+7oq2ZGGDMbPekriPam8GQ1\nHTdjGQ0diyT3kfsZNFk9Pk0AkHVRHBWgCIkxIUzQhau9Sn1RyYeGFTbP+hCafJlY5ck4q2m6AWUt\nEwCJue0/B8voZsCXaUtOJBWapGPm232lEq3Kd/tdptvIMCNMRp3ElENoCmCeA4Aw93Nv8JFKg9U0\nCYIgMTOSdV6iaWItAhbluZo4g7OCi72VybWl0OfHpMV7fSYnkHlOEASfuZpqGjyWnwEyoSleZd06\nQGqeA/z7vRKfJl9aSCVNnZLQdMGmHCAQrVGDtZWq1dgHsGR2Jm68Yjhunp7uOUdBKPE46HkPBnYX\n5Cv66HipRygZkhJB7bb+HMGJelpeRZpM7HLzHGtSShsQWGiKDjfRwS/3a/LlJNgZGA1aKmQ0WO10\nQtdo/O9eWCd4dlCQfDo6rUYSEUNgBcjCU9W0HyhdSx76PynLIzTJ/ZocTnWaJkCqZSDmucQY5dp6\n/gY+MSMpCU3kXdU3Sc/7148n8c1e16SfMTgG0y8ZAJ1WQOaQGHqPrNYqmNp7SrQ5nH4Fr59PePqp\nyaD8vuXtu3RUErQaAS12B176YL9qM50ktYJbezXAHalDzE2sFkWpv7PvUb5jpsKNQQeL0XtuiI8y\ne8z9Mk1T6Tk73v6iUPIZEWyJ2c9sdC2e8vJJxNRv0Glokko5Oq2GCluNza42EkGLaDzioy147aFp\nuG7aMJiNOsRHmTGsf5Sn8oD7ekpRvkrPKjLUSNvLappaVAhNtMCwW9tC+r98/mNJjg2lWngi2Lg+\nVyc0Ee0MKxSKooiv9khz6JH2kyS78kSIgEdoMjHzmxxW06RkemqySdcZVmMW695os8+SbJJDzd6m\nUnqeW3Bh+5/Ugdz7PSbGhPiszUYIpGkCfOdqKiz13It8rWK1lf7WR4DVNLn6iC+FgiiK1CVB7ltF\nkFf60GkFqvFmFS1qC4n3SqFJIzC7dsa+zprnkuNCcdP0NImnv9w853SKdBILqGkKIDSFuL3841VE\nCJBdpXz3SyYRufmGmJ+iw42KGXTlCIJAtU1yTZNSOGpnIQgCDaNutNrpztKk1/hNZxApcfTztJ1E\nJI6+KFZRqE2JC6UT8uGT1XTXa1AY9DERZpprxGzUYeSQWDo5yP2aWNt2IE0TO4iJeY4tGSNppw+h\nqa6xhe5s+8V7D/yIEI9NnvW3ItqL2EgzHl9yCZZdm4UPnr4ST90+kT5vMyM0dTTBJVu7T0mTRjQQ\nFpNOYpJjCTHraRkgi0mHZddm0Winn4+fw+c/HFc8r0Zm7iWmOY1GoIIY0a6VVjahtc0hWTCVhSbf\nUUBEo2Y0aBFi9p4bLCY9zcwvzwq+r6gJDocIk0GLEYNcC8d3+0+jtc0p+V3A22RLnMBHDo31MtOy\nEDNRk01aD4/VLoWHGDB/Rjo2PDkDr66YBrNR5xHSFDRNxIdTaY4RBIEuekrmOa1G8Lm4kyAQom0h\nY0YpRxNBoxGo3wlJTyEIoM7ygSBzCquxOV5aR39L7rSe4N7oEF9Ye5uTCjFEo+nP2Z/4uDmYNYUg\niqJXlHYSozFLcl/b3urJa0fMc0paPwKtwFDnSXBZJwv0UWJMmkeDqeQDpKYGKdU0yda5n0+5+kba\ngCivfhQTbqLmM1Zbeex0LZ5bv4cWFW5uaaNzFRkfVKEgcwSvb7JTodaXQE0iIgn9E8M9RcT7ik+T\nayJzPQh2Ig9UOy2GEUqcThHN9jYaIq0U3cX+Xkur8i6dCE2DUyIhCALtKPVNdp85O4jJSR454qtj\nEEfntIHRqnMpkdwWJ8rqJTsff/buziCUyYlBOrNR7/+eWYdYIgSXVjbS0NWLM5MUz9NoBOrXdORk\njaf0iY9BP/NSV3TgxFHJ0Go1dJDJa6Gxzt1aBeHAoNcyVcab6Tln3ROIUj0tgDUZtEg0Kmy9rH4K\n5qtw5l0pRfUkRFuoVtSg10oEFmKeAzpeSoU9n/XpkSM3C8mZnO2KBJs/Ix1hFgOunTaMqsvf+6LA\nS/NXXtWERU/9C3c8+xU1mxFNU3JsCJ34iDnA6RRRcqZRsutW6u/sgnGmugmvf3oIn33nKodBJm2z\nQacovFhMOiYrs3ThsNld/WdgUjiunzYcgEvg3XP4jCRPEyDdQTfaWmm7lDSrLCFMVnDWj0bp2Wu1\nGrpI0I2ZO5M+u8iuXHwJZk8ajF9dNlTxmp4IOlbT5Nby+5l7LWaPgEeu7boX/3MQSaxIiIs0qy4q\nTkwytUz9uW/dQSV6nQZzLxsiOd6jafI8P6JtIuYuf0IT+9zlzuD2No+G1qygaWIFQZKgl7wXJf8y\ngidhs5POC9KNgrLAxZp9MwZ7azNVaZrc61xpZSNuW/0lPv76KM5UW1FW7S77kpXidY5Wq6EbprOM\nsPXBv4/g+wOlePzNHfjxv+VeEd6Ap9/WN9kl8zNr0ldKNwB4a5qGpHj6lURoUlmuqpcKTTofKQL8\nN4dMUA6n6FWPyaIwIAJpmkRRpCU5yKQviSxQ8GtyVW/2RAawKHUMa3MrNTeoMc0RiKapvsku0YZ0\npXkO8HTQRlsrfb6+TDUEk0FHVfFEC0PKDgDA+BHKvh2Ax6+pqLQWjc3SytVypo3vj/f/8D+4+/os\nAB5nWbmmidV2yQccIVZWMPNsjZUKQj6FJvf7djBJIAGZ0KQgjEQwNnnWQZQslv6EFNbE3GFN2A9i\n0QAAIABJREFUE2PeYzMEy31vQi3+haYFV43Ahqdm4qpcV7SmTqvBb27MgU4rwN7mxOufHJIcf6S4\nBm0OEdX1zTTP1il3QVA2OEAeQRdI08QKvxu/PIrPvz+Ot/7+X9Q32T2O4AYtNBrBqy6lxaRjdttS\nU0Or2yfOZNRh9EWx1Hfnqz3FdJNH3gtbqJuNjpQHPcghGotGW6ukDEuoj/5KIBsze5sT1uY2msfI\nYtJh5NBY3Dp3pCQHEAvRNLFJTYnJ158wQ+7V2twqccaN9qNpAqR9DFDvBA54Fts2h5Nqfk66te7p\nA6O9+iwxqYcp5M4imz9fTuCAtM/L6y9abd4BMaOGxsJo0CI63CRpJ+l3RAhS8schKGlK1WiaRgyK\nQUpcCLQaAZflpHp9r6SplzNySCzVGpVVNeGdzQV44W8/0e8nMj6jLPEKgjcRoNocIp55dzf++aMn\nLQzpr6SviKK0jewGy5e/W6jFAFbXMJgRmrQagVoTLmxNk17ro+yJ/7RTUTKziiQkXkHTpNdpPE56\nClJoZa2NDiyyK4pnctIomegarK001FOuaVLqGEdOecoHqHECJ6QyZp6z7qK5zfY2OmlH+lH7dgSy\nU6tvkprnAhElM1N4ynFofOZyATwRdG0OEYfdPjX+Bn1EqJFq62hY9tlGiTaOXbx8OReS90xMFeyO\nJyGATxMgNSuTaJPocJPibtZXaDpZLP3tgFnzHGs22HGoHH/Z/LNX/qYTZXV449NDiukNWE3T1HH9\nMS9vKO6+LgtTZBNvIE2TIAhexwxMCqdC1M8nzkneB7sInSirg8PhpOVqWGfT6HAT/d3iinpprhtf\nEUjUN9J1DTL2yHMhGhT5fGMx6n1qmohvhNmog1arwWU5rjQZEk2TWwMYxfg0scVwffUhAlu0N5Cm\niUU+BwZjrifa67PVVmr2J231JzSRDa7DKeJcXTOd/wJpmobKhKYklU7ggLQ9pI3EjJoQbXHn6fHM\nE4kynyZAQWjyZ55jvquX1VZji8KTZxEbacZfVk7Haw9NlQhGZJ0h/ov+3ovUt9LVB0mf12oEn/er\n12nw8n15ePf305ExSEHTpEKblzE4Bq+tmIo7541Civu9nHRvZIb3j/QteEd5J0llfXgdThEfuosN\nA4x5jk3+zKQdIME3ZqPOp5Co1UjnmyEp0n5FlC32C9kR3MSY51gC1U6T+6LYAkR3CYJAJ02lXTrr\nBE41TWyEQK23s5s0R4nMPMd0DKIdIv5MOq3GS13tD8nk6F6g6wM4CXYGVNNkVW+eAxh/H/egb2JC\nqP2ZJIf19+TGIgKMUvScEsTc0NTcJnm/RACKDDN6aRgI8UzOEfYcAEjw4XcWqTCRA0AJdQJX3kmz\nkyr7DuW5eZSQmOfcC7bDKWLthr346Otj1JEccAm6K1/fgb9/fxzvflHg9VtsrqdQsx4LrsrA5RcP\nkJT4AKQLSDAQtXmL3SHR9rGRTCfK6nH6bCPdFZIyDYBrvCa6hdyzNTaJFsXXoq7k09FobZVEuQHe\nZZbMjKapqVnqV2RvdQkFZO4Y59aUtjlEugEyUfOcq0+0tjlRVOryUdNoBInGWgky/zVa7RKtZSAt\nn6RcU0Ozz0SISkwclUx92b529xt5CSsl2Lm1tNKjVfXn0wS4TGassBqMpokVksmYIcJtbKQZep2W\n+kwBvoQmdzqH5sCaJiWzHsFXZYRQsx4mg06y2SeaJvJe/Ps0eWuaaul5Rr/zpkGvRUSoa36Tux/q\nffimyUmMCcGMSwdh5ZJLJOvxhJG+LQNUaKqx0XJVRNDLHZ3sZSWQm+cAz3oGeDRNKXEhfttL3qsg\nAAOTpVpcMk4vbE2TQatsngvk0ySLempSURuNdGgl8xwRmgw6DVLdWguLSU8H+lkFTRPrryTfaUlK\nvTS0QBRF/HTM5Rw3JDVCtTAASJ3MSV4oia3YR1K5jsKG7Ko1zwHSHTfgCU9WcsJlsZj0EnUroM4m\nD0gFR1YrQQSgJD9OpyR8trq+Ga1tTnpOdLjJZz+UapoYoYkU+fXhJ8T6NdQxEXQe85zviZUV+ojQ\nY2vxaBxZ0+BrH/9E76tQofAta55jzX6p8dL8KIEWbl8kMlo9VgiVa5p+PuEx3Q6XmawTqAawSZUW\nJUahjmOjzc6kHHC100vTZNLJNkhM2Ldbk0K0fMP7R3lpPz3mOc+YJ8WG4yLNPp2qCWzR6EAZq1nY\nOedcXbPPRIhKhIcYMM5dZ+2bvSVwOJxMYmHf98vOrWzZIn8aZMAlBLPaJrWRc4C3pqnJ5in4Td45\n0dybjZ6cWUrCj0fT5HsuYjUZjTJNE7s5D5QPsKXVlRqE/IY/nyazUUeFsCqZpkmtz6pGIyCEmT/k\nOe7UkBwbigduGQutVoBJL2BCpj+hyfXsbS1taLK1or6xhaaAuDgzCcuuHU2PNRm0nnHiI/kzSXoa\nSKAmDv5sVCaBbKguaKHJZNApTg6BSjGYjToaIeJKvhg4jxDp0ErmOSI0DUqOkExyNFeTQlhlNaNa\n9OUIDgAny+rx/YFS6tuTPSxwfg0WvU5LJwCSF0qNvbujeJLDtQZlnvOlaVJTnmLk0DjJ32qdRdny\nBBKh6Vzg7MNkx+QUXapxoib2d45r9+f6PxFOrM2tdJeo5AQOuIRAsmiTHaiD8dXwN5mbFMxzrI8F\n0c7952AZvjtQSj+vqrV5Rfmx5jk2W75ep5UImIFMRL5gf4MVmlhzx6mKBhw6VkWPl48h6qxcbVOl\nRVHSNLk2LK7/k3bKN1UWk95nZmSiaWKd89NkpnWzQWqeA1y+W2wb/EGuXdvYQt+TTqsJOAdGhhrp\nnFZR1RS0j2PeGJepsaahBQePVikmFpbDCgps4V01GzdWG6QmGzhBuiGyS0yo5NnNnjwY40ckYsmc\nkVRLYTRo6aYrGPOcTqeBwV3cu17mCM5uzpVyfsl9ZxutdipI+PNpAryLhwcjBBPYTU4wG3OWnLR4\nvHjPRNx5ZaLf8ca6r5yptsqKNxuRP7Y/ddJnx4w0p5nrHFEUaY4mX07ghIvc/WhMuvc6Sp7/BW2e\nMxqUi9YGWiwFQZBEq1gD7ADItQDlyCNaxiFZnvlUOfEX4PFl0WoELydjs1FH7cP/t/Uw1m06CMBl\nCro6TzmixR9spAwgq2fURUITGeStbU5qe1ZjnqNFFeW7OxVZyklpAIJqTVOYt4O10ynSfEtqhCbA\n5dRIaselKqQMILAVt8nkxoZv+9NskQg6ommSmGT8aJpY4YZoT9hJnFz/b/8+AkCqmSJZ6AlsNnD5\nbo010bVX0xQe4smUXH5OWdNkb3Vglzt/14jB3j5+xGxa29iCM9Wu3/C3gBAnXEnCUmbckucnX+ws\nRp20aCpzDtmxss9+pKyPyh3BAY82W43QRK4tip4M6KEW/6ZswDUHkn5WxghNajdRY9MTaB/etqfY\nk+bDn3mOEeqJ0KTTCgEFAsATHh8dblKdbgBwPXtyT3WNLZKitiSIIybCjMcWX4wrLh5AvxMEgW42\nSc4l1lXAH2ajVNgiBFpn5JomNkI2kPBDtGZyR3ClxJa+YNsVyMXFH/FRZoRb/K/B0lxNNkmQEtlA\nLJqVgbW/uQwP/Xoc/Y7NaUbOqa5vpmb0QElPF8/JxB+XT8KCK71rdxqo0NTFmia73Y5Zs2Zh9+7d\n9LPTp09j4cKFyM7OxlVXXYX//Oc/knO2b9+OWbNmISsrCwsWLEBJiXcmYzW4HMGDN88B0lxNxA9B\nI/g+l0ihck1Ts72NRgD0lyXsi/ORwwLwaJoiw4xealBBEPDA/HEIs+jhFD2agXuvz/bpW+MPuXM1\nsXfrtBq/Gbo7Ahu9QyIA1ZjnyELb1NwGh8MZlKZpxKBoybNULTSxmib3M6qub6aDx58Qw5pmiisa\nqGOj3L9HjjxXk2Sn5aOuoOtepbW0mlT6sWi1GmoaopomZhKvONeE1jYnNdNdnTeUPj+50EQ2DhqN\n4PWM2Xa316dJEAQqqErMc7Isy+T9KDmxsgIH2dT42yCMTU/AH++ehBfunUyFHHazY6TmOU+byHxh\nMelp/yTniKIIO4meY7R88jI+ZDyTQs4saoQDVmAj0bVqNXxkgSk+00D9dtRuovQ6DS7LdoWT//jf\nCrpo+dNwSTRNbh+UyDCTqvQpI4fGYo37/agd14Cs/lxTi0So9eWkTGBdDNhM+oHmIot7nvOKnmM2\nKUplY+SapkDFelk8uZrc5rmG4IRgQNpv1PoztZfYSDPVtlfWWKU+vu6NiyC4cnTJtbtkg0HmTraS\nQyDTrU6rQdrAaMU+RNb+tq7UNNntdvz2t7/FsWPHJJ/fddddiI+Px0cffYTZs2dj2bJlqKhw7QrL\ny8tx1113Yd68efjoo48QFRWFu+66qz2XpyHq8jGnplI61TQ1eDRNZpPvHRo1z8l8mlwRV67/p8qE\nJppYTZbBGfCdDZwwOCUCT98xkQ7cWZMGe+1S1RIVLpXMPbtKg+p8T8GilPI/UCoIQOqA2WhrZXya\nAi8EFpMeQxkn+UBlADzn6Wi4KdE0lauInANcWhGyyLJV6Qck+A8VJ32DCEvspOHPx8NTS8t1n1JN\nk/9nRBZ+ssCxk3iz3YEjp6rpwjCIKX57rKQWew6fwc0r/4GPvjpKhSazQevVf9h2h1raL5ATQbW8\nymPGkS9CBKUcM6zQRKK0/C0ggiAgbUA0YiLMtK+xiS495jlPm9j5Qh5B1+YQqWmFdcIf1j9Soo0h\nv6vVCF5mqmA0TQBoRmTVQpPb/4PNqh7MIjvC/dztrQ76ntQ6gpPn5KtQrxLD3e8nWEhevjPnrFSo\ntZiU09WwhDJCU6BivSxE0+Qres5sVE766k/TFNg850mwKoqixBFcLezcqyZyriPodZ5oaNY8x7og\n+CJKpmkqk6QbUB8kIIdqmrqq9lxRURGuu+46nD59WvL5jh07UFJSgieeeAKDBw/G0qVLkZWVhQ8/\n/BAAsHHjRowcORILFizAkCFDsHr1apSWlko0VWoxunOnyNMEqPFloQ6UtTaaodbfyyK7RbmmqYSx\nzcs1TcTpzNbioAkXCaST+Js0BiVH4OX7pmDFr8dh8exMv+3xh9y5urYdqttgUdJ6mFSY57yEpiDM\nc4B0J69WHlSqhl6ucvfiSmTqWtx+cvvYAEFomho9mi3AtRPyt+iRyZMI4sGEmZPwdiL0NMmKdZLS\nHYDLr4o43x4tqaF5i7b+eJKa55R2y8MHREGrESAIwTnsymE1TSTtgNzcAbieo5JQq5TNWu0CEkqF\nJo9WgmiE2IWWFQLkmZHZzRWradLrtBjB+Giwz1C+gfJVhoclMtRII9lIfrBAOZoI5P2wCVYjgqhF\nyQp1RHPub+41Gbw3uIGcwDsDko7iRFmdJHIuEOFMBn6Jk32AuYjUW5Q7gpO5LJDfLODKe6WmWC+B\nFq63taK6vplq94NJKRPCzNlqcjR1FDJuSysbJUqEQBt5eQmgMvdmIcxi8JlPTw3GrnYE37VrFyZM\nmIAPPvhAkkvlp59+QkZGBoxGzwQ1ZswYHDhwgH4/bpzHRmkymTBixAjs378/2Fvw7P6YxYJNUuUP\n4otS0+BxoPS386DmOZmm6bTbnGE26rycSeUCgLXFgcde34U/f3gQ1fWuwRto0oiNNLsyVwcZycBC\nwpnrGl1V3Inqtqv8mQDlnVEw5jnAtUg22gJn4WVhtXGnKur9HClFXg2dCE2hZn3ARYhEghC/jjCL\nIaBzq9w856nD5T9EmJzn0TSpT2hIFmglTRPgEZr0Og0SokOo02R1fQv1Qamub6HmPaUM2fHRFjxz\nVy5W3TFRlabEF0TT1NTc5s5p5qQaYXZ8ZwyKUXxeJoN3vha1WhTyHNmyKEYFTRO7WaOmeHd6ETbv\nldkoFSTYPsr+hjz0PiE6sNCp0QiIlmlf1JvnFEr1BDEnsP58BH+uERqNgERZm/zVnessaF6pGhst\nu6NGaCLPsYFJmwKo0DRR85x0fJH+62udYTXjLXYHLf1iNGj9ltIBPNo0QJoCJ5j3KTHPdYPQRKoJ\nnD7bSJUI0So28mTNJJHlxAk8JYj8XUp4hCZ15rmg9eg33nij4ueVlZWIj5d6psfExODMGdeEfPbs\nWa/vY2Nj6ffBQBoZYtKjEi4hRI0/EyDdxZEEbf78e3yZ51jHX/nkHcYIDg3WVvxcbMMvJXX4pcTT\nqbsq5J+FTMZO0VWDKZicLO1FaQFXY55jzXo19c1UEFErNI1g/FsCTTQsHl8hqXlOTaROvEw46J8Y\nFnC35KmZ6Br4tOJ7gJw1JPS4wWr3yigeUNNEzHNE0yTzESL1uFLiQqHVCF5JBQGXYEgidOTCAIFE\nu1it/otx+iNJknagUfKM0wZG0WhSJSdwQkK0RZoNXKUWhTxH9vmQvsQKOeziRzRbVbXN7tJMbFkn\naT+cOq4fvt5bgiEpkZJxwmqdjQat6sin2AiTJEmgevOcd98OZk6ICDXAaNBK5sRAWv7HFl+MrT+e\nxH+LzsHW3IbLx/dXfb32MogJ0DnmziQfKP8VIA1KaQpmnPkyzzX7t2hoNAIMei3srQ6JeU6No3wM\n0572C02Mea6d0XPBQIJlztZYqdO9GiGajJPWNpfPKzFLd8Q0B3jWeLWO4J3mDWyz2WAwSF+ywWCA\n3e7qAM3NzX6/DwYyGbHCjhp/JkDqZElyhvjVNNGUA1KTxumzvqvSswJAg60VTc3eL6M71NPyZJld\nWayXYNRr6QRAUGOeYxeRCiYzslqhyWzU4VdThuLbfSX49ZUjVN9vhMxcVq4ico4g33EHMs0BnoHf\n5nCiqbmN7rQCCdFkIRVFd0JDt3nOoNMEXLCIbw3JsyQvKEogfblfQhgMOo3XJEISySmZ5zoLidB0\nzioZm+PSE6nQlHVRnNe5hPhoCw3fB9T3d6W+pqTVNiuY59ocTncmcSbCUCY0xUSY8b8PTvW6BjsX\nJEZbVPsbyrUmISqjFl1JW7U0V5dGUG/aA9zFe6MskhxfgaKu+iWE4dY5I1VfozNgy+oQ1PhGeXya\nWoPSNBFH8Cabq7A2SUMTSNMEuOZNe6vD7Qju9ktSIzQxVo4iRmgKRghmc1N1JHpOLURoEkXgeJlL\nA6jGxy0u0jPflpxppFULOuIOAAQfPddps5/RaERdXZ3kM7vdDpPJRL+XC0h2ux3h4f4dZ5UQ4IDV\napWYffQ6jaodbpjJ5fMiiqAOmwad792xVnAdZGtpo8e0OZzUnpoYZfQ6V6fxTJzVtY1oavZW+4UY\nhA7tyNXAjvGKqjpqgrIYu/baoWYdqlvZHbcGNpt3JCGLhjH1lp71mNf0Gofqe71h6iDcMNVVlFft\nOSHu3WFdQzOampqo0BQbbgj4GxGy8NqkaBOsVittq1KbLUbPgni6ogbVbv+ZcIvO7/WMOs/zOVNV\nh9p617EhZv/nAYDe7fvSZLPDarWirkH5XSQwfXlAUhiOlkjHc4U7hN+g9d9//LU/EEatCINeA3ur\nE8XlNQg3e57X0JQQ/PaGUdBoBMSG+253dJh0cTJqnar6g1JqDNFhh9XqhBZMf9Z52h9m9sxBJRU1\nqG9griO2qrpuiMnzG7ER3vOJLyJl1duNfuYxOQnRFlr2IsxiQEtzcO8qNsIoEZo0cAbs++eDhCgz\nzjBRzOGWwOsEGWttDifKqzxtFJytsFqVTTg2m41qmgCgsrqeaooarZ7UK76uTYSVRmszatxjO1TN\n2BZEaLUCHA4Rx0o8G4Vg5k291jO3aIX2a4rVvvuYMI/YQf3xzNqA102JNdC1e9vuk9QHKTZc36H1\nTAPX76gt2NtpQlNCQoJXNF1VVRXi4uLo95WVlV7fp6enB32t6qozOHy4Ea0tngclOltx+PBhVeeH\nmbWoZzp/i63R57n1bkHQ2mynx1TWtdJoI2dLDQ4fbpac08J44Z8sOYOmFm8JtuZcGQ4fPuf1eWdC\nqq0DwN5DJ+g9N9ZV4fDhrpvUdBppe016DU6ePBnwPJNeQHOriKJiTz85W1GKw44qP2d1jOYml4BW\n29iCPQd+ploYZ0ttwP7UVCeNjnTYqnD4sCdAQKnNjfWeneueg79Qp+PW5nq/1ztX7dlw/FRwFKcr\nXH1fp3EGvM+WZpewU1vn6uflZ6sVjxNaPW3OTNXgRJmAS4aH4ocC18LhcEejtTQ3qRprat65EpEW\nDc7WOXHkeAW0bR7B7Ux5MaJDXVOWv7HjaPa8A0EASk4eU5Xl2Nbo7QtXVPQLNIKAM1Wed83OF7WN\nHq3dwZ+PQatlhOLik7DWBJ5iGxnHcx2aVc9jrTZpoem6mkocPqxys6D33LdRF7gPydGJ0vmj5lyl\nZB5s77vvbKJCRJxhkts31Z3F4cP+fR5rqz1tO3K8DIBr43H06BG/51kYoengfwsRG+4SamvqXePP\n3zoD0fU+zpw9h7Puse5stal6L6FGDeqsDlTWNtP7OF70S8DzCFVnPe/NZlM3tv0R6N07nSJ0WoB1\nIbI1VOPwYe9oczkJkXpU1LTi232eQDRb/RkcPuxdwUAtdbWu/qCUi1GJThOaRo8ejTfeeAN2u52a\n4fbu3YuxY8fS7/ft20ePt9lsKCgowPLly4O+1qAB/ZCenoCkY4dx6KR7xxdqUS2ApWxvRP1JTw6a\n5MRYpKcPUzz2l8oTwH8b4HAK9Pfrfz4DwOWLNSEnzSvaRRRFaD8qh8MpwhwSgSb3oqXXadDa5oRW\nI2B8dnqX+haR+9B/WoHWNidO13om8zEjh2J4f2+/lc4idkcTzta6OrFep4FOK2DgwIEwm/2rxiNC\nz6G5xoYmO+PwmzbUb8LIjlJuLcW2gwVwOAF9aCKAcgBAduZQpA3w/4wSG1rw1r88Al7uuAyEhxhg\ns9lw8uRJxTa3OZz405azcDpFtGkjYG9zLf4XDUpBerp3xXFCXF0zsNWV2iAqNhn68goAVkRHhAbs\n9wlHC1zjRGNAeno69Hv3A/BeXMdnDUd/d/279HTg+hmuWmk7/rCNCtwAEB8X5fea/tqvhv77WnC2\nrhLNDj0ioxMAuLPij0wLGC4OAC26Kmze7QowCbcYkJGhzlx7orYYOORZUA16DTJGuM4Nr2wC3O86\nKSEG6enDAbjep/B5BUQRMIXFwmIQ6P1mjBimaoxrQmqx8XvXOWlDUpCers7fp1E8i3/s9cxjFw3u\nj3SFjMdKDCs9hp+LTwAA4mPCg968Hjt3EruPegqr9ktNRnp6aofffWeTWV6EwtPH6d85mcMCJkIU\nLDWA+3002F1LZKjFELDPn67yCCrxSf3pHOvcXAmgze86E/Z1Hc7VN8ASGo5W96amX3Is7Wf+SPi+\nAXVWz+ZiXt5QpKcP8HOGFHNkA7DNtTGNjopolyIDCG7cJ39dh+IzHqF/xLABSB/u2+ROyDouYOuP\nJWhu9cxHl47N6JDLwLFzJ4FD9XCIAQ8F0IlC0/jx45GUlIQVK1bgzjvvxFdffYVDhw7hmWeeAQDM\nmzcPb7/9Nt544w3k5eVh3bp16N+/P8aPHx/0tcLDLLBYLIgI87wYs1EPi0Vd1E5KXDgOM0JTRKjZ\n57mhIa5rtLY5AY0e5+qacbbWtRPQ6zQYkBKjGOEWFmJAbUMLmlsBq1vTNCUnFUP7RSIqzIjk+Ch1\nje0g0eEmnKm2ovCUq70GnQaZQxO7NEoiItRjZyd+Z2az72dMCAs14kyNje6YACAmKgwWS9dNvvHR\nHj+ko6c9g3hIvxhYLP4XPJPJDJ1WgzaHExGhBiTGSYUsX21OiLagvKoJR097FujE2HC/zydR77mX\n5lag2a1FDA81BnyuoRbX+7C3OmCxWNDinnC0GoEKQxrB1WYlR9DIMKMkd1GYxaRqrKl550qkJoRj\nT2ElztTYQDZ/Go2AmKhwVf4+A5I9TuKRYYGfDyE6QnqcyaCj50ZHeq4rny+iwkyorm9GXZMDJsZv\nMyoiTFVS2gHJGmp2GJIarX4eS5D2t5jIUNXn9k/0nBsdHvx7SpVdO0z2TNr77jubYQNiAXiEptTE\nqIAL7LCBHsG86DTJtm4I2B5W09Tq0NDjrW7fsXA/64zZ6Lpmm9NThiUmMkTVM4yLDqFBRiMGRWPe\n1LSgoq7joj3HWkyB2xkINe++f2K4RGhKjItQdd3RwxKw9UdPUuzocCOio4J38WEh86PoVCc1dWjl\nZCcwjUaDP//5z6isrMS8efPw+eef409/+hMSE10FHlNSUvDKK6/go48+wrXXXouGhgasW7euXdf1\nhAF7OrdaR3DAOw+KGkdwALj/5e9x53NfYeOXrh0FiTZSgmaVtdmpI3hkmBEzLx2ECSOTVd9rRyEO\ndsRlaNiAqC4PK2WjPuS5tPye535mJNcIoN4RvL2weVAOHnVpEqLCjKqchzUagaYd6B8gqSULcVxk\ni+IGcgQ36LV0Aa5vbGGK9QZ+PuQ8myzlABvEkBQb4jNyRh7Z0pWO4IBrXAGuiMZSmoslcIkQAhsh\n1d4oIkDaTjZHj1k2X5CyHFV1NolpXu2cFB1uwj3XZ2P+jHSM9uPgLkfuCB6MMzerbWlP3jZ5Wgm1\n9R67GzaCLtSsV9V3Q816OkYd1OdGzTjzzKv1TFkmWiNSRZR2TX0L9dXxV6yXhdyr0aDFPTdkB52m\nRlp7rnsqq6XIrAdqk53KqwAkBSjUqwa1kfeEDs1+cttnv379sH79ep/HT5o0CVu3bu3IJQEwKQeY\njhxMw+VlCvymHGAmA+L4SLzs/ZmNaDLCRjvVNHVl1Jov5AueUumJzoadYIIp1yJPjKnTCkEJw+2B\nNZ8UucuGDFCIuvHF2BEJ+Pt3x3HJyETV5yTHhWJv4VlJhKGaaMqIUANsLa7kdyRPk5qFkkSAyZNb\nDkoOp1mhSe4UJWLCTWC9FU1BTjLBwkYhFpxwmUmCSV5n0GsRHW5EdX1LUCZwuYDOttNo0GL4gCgc\nK6lFpiwTOU0H0WSnz5gk4FXL1HHBh+CHhxiophMIrlAyWxU+mOKuBHm6ja4ep+0lIdrEZs1DAAAg\nAElEQVQCi0kHa3ObqhxNhKH9IiVlOtRs3ox6gWoMSUJWNlJVzTpTzOSYS1SZ72z2pCFoaXVgQmaS\n5L2qxWTQUq1zd6QcAKTzjSCoj/aLCjchKTaEBuykdDDdABC8wN8rC/aSySykHSkHgOA0TUoLBBGI\nxqYn+DyPhHGWn/M4FaoJIe1s5IvxCIXSE50Nq2kKlBqfRb4whpjVaxfaC3uvRDurFKrsiyWzM/He\n49Mxe9IQ1ecohciqEahJHaraxhaap0nNQkl21w6niNY2J6zuc+OjLbT98qLTLHLBuz11EIOhf6Ln\nXkhyzWAz/uYMd43NYEoQyZ8lO/YFQcCzd+Xivcf/xyuPlSeDtJ2mHDB1gxCh0QhUywUEJzRFhBow\ntF8kBAHIHBx8maYwi16Sr6s7QtXbgyAIGJLiel9qMq0ThqZK37GaygQaQZAkxgSkdR7VWDTYbP0J\nKu83MsyIW+eMROaQ9pXbEgSB1r0Ma2ex7WBhFQ4RIUaankEN7Ma/o+kGgOAF/q6d/boIT54mNr9E\nF2maZEJTXJQZrz44FTUNLX4zH5NJnq1if140TYzaUyMAaQO63peK1X7Iq8P7P086YNWWUOkIZqPO\nKyfRgET1QpMgCF4ZnQMh3w2GhxhUqcXjosw4UlyD4ooGOhmrEpqYfEG2ljZaCyvEpMdd14zGroIK\nXDlxkM/z5dl6g0ke2h5CzXrERJgkflRqEv2xLL8uCzdOH66YvdrndS1yoUnaTq1Wo3gf1BTfZKfl\nlrpaG0eIjTSj4pzVpZUN4pqCIOC5ZZNQ39TSrrpuJFcTSYzaUzVNALDgqhH4/Pvj+NWUoarPkQvG\nFrO6Ph9m0aPB2koLIbPZ9/3NZ/Lnp9UIqhJxdha3/2oUdhwqx7RuSDoKSDVEbD5BNWQMjsaXu4sB\ndDyxJRC8pqlXCk0eTVP7zHPhIQaYjTqqOvWvNpV+N3JILAx6bcBSEWQiZaOOzrd5bnBKhKroo47C\nagWCMc8paZq6GkEQEB5qlFRBD0bT1B7k0TtqE50OTY3EDwfLJPlxlGr9yWE1ArUNzTQ3isWkw6Wj\nknHpKP8+dt2taQJc9RylzufBCU0uf7PgHFq9zXMqF0p3vqT6Jo+mKVg/ifYS6xZ4Qs3BF+HW6zTt\nEpgICdEhVGjqqT5NADCsfxTuu3lMUOcMSYmgpjZAvRaPjEdSZJot+OtvAynvL/FRlqC0Lx1lfEYi\nxmeodzHoKGajDrERJlTVNQddUicnLQEmgxZOsXOUAMGO1Z6pUw0AkcpZ6T+YQoOCIEhUtf52ACZ5\n/SiVKtAwhR1pe3wHOgqraeoO0xwgVfEG4wguVw13h9AESItbagRX0dquJC7STIutAupL6iiVN5E7\nLyvBLv6kbAvg31zAEh1xHoQmmbZPjXDYUYx6reS9qNUWEZ8me5uTOgB3l6aJjGmlvtHVxEd7BK6e\nrGlqDxaTXqINUav1Ji4YPx8/h3N1Nol5zt98Jn9+wZgSeyujh7mCHtL6Byf4RIeb8OqKqXhtxdRO\nqWHYJzRNpJGhEkfw4JqSGBOCE+4U7n53ALIHOkqlj4TSzlhtNERnwjo/docTOCAVGF2aJnWlcs6H\npgmQagCTYkO6fAHQajVIiLbQyDC1mqYhqd4Lo5pnxAo5rPZG7UIgr4sn30h0BfKSNMGa59qDIAgI\nNRtoSR21O1C2bFKVO11GdwlN0y8egItSI5Ga0HW5zHzBatu7S7PWnQxNjaQ+dWrnoqljU7H7cCVq\nG1vw9Du7MPNSj9nb3wZSvn7JXUguRO66ZjRmXjpIcV4LREc0pHKCne97naZJp9PQqBRpyoHgmsJ2\nSr+2ZmYySIi2eEWN+CI8RO6fo+u2cE6WgUnhuHx8f0zKSsG4Ed2jfmWFn2D8kuRCUzCOrR2BFZrk\nGo6ugg2VVRtuG2rWe9XEU6OBYcOsWTOkWj8Nuc9B92iapEJTsOa59sIujmpTK4QxY73KLZR2lxCh\ncRdY7mo/MyXS3QWaw0MM3SLUdjes9k6t0JQ9LBY3XuFKSHm0pBbvflFAv7MEpWm68IUmvU6LYf2j\ngk6R0Nlc8I7gbANNBi3ioy04W21FqkLhXH+kD4zCJ3AJQv6EGXYHoNY0B3hP8udrUhEEAXdfn92t\n14wIMdCQ734JoUBLU+CT4C0AdIf/FSAVmrran4mQHBcCuDN2BKNivig1kobbAuoEy1jGvEa0q4B6\ngTYy1Cjx7+iOBbq/bDwrmbu7ArYPqtUWsWOdmGPOhxDT3QwfEI01d09CZJip20LVuxM2gi6YqLIb\nLh+OE2V1+PG/FVRrqdUIfl1I5NrbvmCe6yl0a56m8wEb2ioIAlbfORHllU1BhRYDwCWZSXhi6QSk\nxof5daA0G3WIDDWitrElKEc5+SR/Ie7EfKHVavDsskk4W2PFkCQLCgvPqDrP2zzXPd2TTQURTI6m\njsBG0MnNX/4Y2i8S3x0opX+rydMUajEgzGJAg9WOY6c9mfDVOulrtRpEhhpR0+BaALrDPGcx6REX\nZUZlDSlofB40TSoFH6Wx3V3mufPN8AHRgQ/qpaQNjMakrBQ0WO3ICMIfVKMRcP8tY/H6J4fwr52n\nALiEcX/rjFzbIdcoc7qOC96nSd7A+ChL0FEygEvgyh4euE6TViNg9V0TUV7V5DcvkxxvTVP3aE16\nCokxIUiMCQmq+rRcaxLaTZom1hG7uzRNKUwEXTAht6zJQK/TqFYtJ8Va0FBsl6TACEaTFxVuokKT\nuZu0KP0TwqjQ1G2aJnPHNE2EC9HHp6+h1Qh4YP7Ydp1r1Gux/LosjBwai41fHkHemH7+j5f1l0DR\n2ZzO48IXms6DGjg1PsxvxmQleop5rjeh1Wpo9l6g+xzBx6YnYGBSOPonhnVKsjQ1ZAyOwcghsRAh\nBrVbH5ISQf8fjM9XUkwofin2aJk0GiEobUh0uAnHS+sgCN0XXt4/MRx7C11Firsr6V57gksMei1M\nBi1NNwD0HU0Txz9TclIxJcd3IW4Cu/mJCDV0m2sCxyUc64JI79DrhKbz4UzdHvQ6DcxGLWykWCMX\nmlQRZjF0u9AUEWrEK/fndcu1CHqdFqvunBj0eSQUurSyMagwfLm632LUBZXXhzirm4IsD9IRSA6W\nELO+2yJP2T5nDsIMGRZiQLPd42TPhSZOMLCapsRobprrboLRDPc6oak35QMJsxhga3FNpOejhEpv\nJMyix5lq1/+7S2jqbWQOiUFpZSMSgphck2JlpYOCfLYkmi2uHabw9nJJZhLuuT4LqQlh3bZZYvNe\nBePMHWYxUFMiwM1znOBg17W+EDnX03BF3zsDHgf0QqFJ30NrHCkRFmLAWeLI2sd8mtoL69jMhSZl\n5s9IR0pcKCaMTFJ9TlKMNI9PMElHAeB/LhkIjUYIKoK0o2g0AqaNH9Bt1wOk0XNBVRmQmeO5pokT\nDKwpmEfOdT9GvQ5wqssn2OuEpt6maSJw85w62GfWXXmaehsRocag6mgB3ua5YAVSk1EXVFHi3kp7\nHMEB7/Hdm+YpzvmHa5rOLwa9BvYWdcf2HrWNm96UDyScC01Bw+70u6Ngb18hItQg8dEJpiZgXyIu\nypNpOJhCzPLoPrWJMTkcAIiPtmBQcjjCLHpkD48737fT57igfZoMvcg8xwoA3KdJHUTTpNUEV7Wd\n4x9BEJAUE4rjZXUAuEDqi6Gpkbh1TibMRp3q7P+Ad7QsN89xgkGrEbD2N1PgdIq9JtjpQiKYiOBe\n93Z6cjVtOezus7tCpns7oy+KhUbjyqEVbNV2jn8SGWdwrmlSRhAEzJ48BJdfHJwvVZjMZ5Gb5zjB\notUIXGA6TwQzXnvdzHk+8jS1l5FDYrHxy18wIM4IbRB5IPoyo4bGYf3j/8P9mbqAJMZXgueB6Vy8\nHMG7IWs6h8PpHIJRxvQ+oakXmedGXxSHV383GaeLi873rfQquP9X18AWCeaaps5FnkfKxDVNHE6v\nIRhXkN4jgbjpTZomwFWi43xXceZwAGmuJp7OoXORm+e4TxOH03sIxjzX+4QmvoPjcNpFSpxH08S1\neZ2L3BGcz1McTu/hwvZp6kXmOQ6nJxETYcbN/5OGU+X1GJumvvg0JzCsEKrXCt1WaobD4XScC9yn\nie/gOJz2csPlw8/3LVyQmI06aDUCHE4RBj0XmDic3sQF7dPUm8qocDicvoEgCDTFiEHHhSYOpzcR\njK90r5NAYsPNgQ/icDicboaY6HiuHQ6nd2EOIpq4141uebkCDofD6QkQZ3CuaeJweheXZCSif2KY\nqmN7ndDE4XA4PZH+Ca5JNzq017mKcjh9mqhwE3570xhVx/LRzeFwOJ3A/JnpGJQUghBUn+9b4XA4\nXQTXNHE4HE4nEGYx4LLsZISYeIQvh3OhwoUmDofD4XA4HBVwoYnD4XA4HA5HBVxo4nA4HA6Hw1EB\nF5o4HA6Hw+FwVMCFJg6Hw+FwOBwVcKGJw+FwOBwORwVcaOJwOBwOh8NRAReaOBwOh8PhcFTAhSYO\nh8PhcDgcFXChicPhcDgcDkcFXGjicDgcDofDUUG3Ck12ux0PP/wwxo0bh0mTJuGdd97pzstzOBwO\nh8PhtBtdd17s2WefRUFBAdavX4/Tp0/jwQcfREpKCq644oruvA0Oh8PhcDicoOk2TZPNZsOHH36I\nRx99FGlpaZg2bRqWLFmC999/v7tugcPhcDgcDqfddJvQVFhYCIfDgaysLPrZmDFj8NNPP3XXLXA4\nHA6Hw+G0m24TmiorKxEZGQmdzmMRjImJQUtLC2pqarrrNjgcDofD4XDaRbf5NNlsNhgMBsln5G+7\n3R7wfKfTCQCora2FzWbr/BvsIlpaWgD0vvvuLPpi+/tim1n6cvv7ctuBvtv+vtpult7+DMj9E1nD\nF90mNBmNRi/hiPxtNpsDnk8aVF5e3vk31w301vvuLPpi+/tim1n6cvv7ctuBvtv+vtpult7+DFpa\nWhAaGurz+24TmhISElBbWwun0wmNxmUVrKqqgslkQnh4eMDzIyIiMHDgQBiNRno+h8PhcDgcTkdx\nOp1oaWlBRESE3+O6TWhKT0+HTqfDgQMHkJOTAwDYs2cPMjMzVZ2v0+kQExPTlbfI4XA4HA6nj+JP\nw0ToNpWNyWTCnDlz8Pvf/x6HDh3Cl19+iXfeeQe//vWvu+sWOBwOh8PhcNqNIIqi2F0Xa25uxh/+\n8Af885//RFhYGJYsWYL58+d31+U5HA6Hw+Fw2k23Ck0cDofD4XA4vRXuUc3hcDgcDoejAi40cTgc\nDofD4aiAC00cDofD4XA4KuBCE4fD4XA4HI4KuNDE4XA4HA6Ho4I+LzR98sknyM/P77Lff/311zF1\n6lSMGTMGCxcuRFFRkeT7NWvWYMKECbj44ovxxz/+UfE3amtrMXHiRJSVlUk+P3LkCG666SaMHj0a\ns2fPxs6dO1XdU35+PtLS0rz+3XzzzarOT0tLw+7du1UdCwAHDhzADTfcgOzsbMyYMQObNm2SfL99\n+3bMmjULWVlZWLBgAUpKShR/59FHH8W6deskn9ntdvzhD3/A+PHjkZubi7Vr1yreb3p6OioqKry+\n27BhA9LS0rx+tyOc7/aq4eOPP0ZaWho++uijdp3vj57S57v7vRMaGhrwyCOPYOLEiZgwYQIeeugh\nNDQ00O9ra2uxfPly5OTkYNq0afj73/+u+Dt79uzBtGnTvD7funUrpk+fjuzsbCxevNjrGfmjL853\ncoJ5BoGO7Q1jHeja8c7yzTffYO7cucjOzsacOXPw1VdfSb7fvHkzLr/8cmRlZWHZsmWoqalR/J3F\nixfj008/lXxWX1+P++67D9nZ2ZgyZQrWr1/fZe3wi9jH+fjjj8X8/Pwu+e2//vWv4oQJE8RvvvlG\nPHnypPjII4+IeXl5YnNzsyiKovjWW2+JeXl54r59+8SdO3eKkyZNEt9++23Jb9TW1orXX3+9mJaW\nJpaWltLPGxoaxIkTJ4orV64Ui4uLxZdfflkcO3aseO7cuYD3lZeXJ65fv16sqqqS/Kurq1PVruHD\nh4u7du1SdWxlZaU4btw4ce3ateKpU6fEL774Qhw1apT4zTffiKIoiqWlpWJWVpb4zjvviMeOHRPv\nvfdecdasWV6/8/rrr4vDhw8XX3nlFcnnjz32mDh9+nTx0KFD4o4dO8RLLrlE/OCDD7zuNzMzU3z/\n/fe9fnfRokVienq61++2l57QXjUsWrRIvOKKK8RbbrmlfQ31QU/q89353lnuvfde8ZprrhELCgrE\ngoIC8dprrxXvvvtu+v1tt90mLly4UDx27Ji4adMmceTIkeJPP/0k+Y3CwkJx4sSJXnPT3r17xYyM\nDHHjxo3iiRMnxNtuu028/vrrVd9bX5zv5ATzDPwd21vGuih23XhnOXz4MB1vxcXF4vvvvy9mZGSI\nhYWFoiiK4sGDB8XRo0eLn332mXjkyBHxlltuEW+77TbJbzidTvGJJ54Q09LSxE8++UTy3eLFi8Xr\nr79ePHbsmLh161Zx1KhR4g8//NBl7fEFF5q6cBK57rrrxDfffJP+3draKmZlZYnbt28XRVEUp0yZ\nIukYn332meRe9uzZI06dOlWcM2eO1yTy7rvvildccYXketdcc4347bffBryvvLw8rw4ZDMEITRs2\nbBBnzpwp+eyxxx4T77//flEURfHFF18U58+fT7+z2WxiTk4O/f2GhgZx+fLl4vjx48W8vDzJxFJb\nWytmZGSIu3fvpp+9/vrr4sMPP+x1vwsXLhQXLVok+byhoUHMyckRr7766k5bPHtCewNx7tw5ccSI\nEeJnn30mpqWliadPnw66nb7oSX2+O987wWq1ihkZGRIhaP/+/WJGRobY0tIinjp1Shw+fLhYVlZG\nv3/kkUfEFStW0L83bNggZmdni3PmzPGam5YtWyZ53yUlJWJ+fr5YU1Oj6v764nwnp7OEpt4w1kWx\na8c7y5o1a8Rbb71V8tmiRYvEtWvXiqIoig888ICkn5eXl0vup6KiQpw/f76Yl5cnjh8/XtJXDh8+\nLGZkZEju/cknnxRffvnlLmmLP/q8eU7O3r17cdNNNyErKwvZ2dlYunQpqqqqALhUtfPnz8crr7yC\nSy65BOPGjcMzzzzj87cefPBBXHXVVfRvQRAAuNT3Z8+eRXl5OcaOHUu/HzNmDMrKyuj1fvjhB1x7\n7bV4+eWXIcpykO7evdtLbbxp0yZMnjy5Yw/AzZ/+9CdMmjQJ48aNwx133OFVuXrnzp2YPn06srKy\ncO+990rMDyyTJ0/G6tWrvT4nx//0008YN24c/dxkMmHEiBHYv38/AOD06dOw2+345JNPkJKSIvmN\nvXv3IiwsTPIMb731Vjz99NNe15s6dSp2796NpqYm+tm3336LcePGISQkhH7W2tqK1atXY/LkycjM\nzER+fj42btxIv8/Pz8eaNWuQm5uLq6++use21x//+Mc/EB4ejtmzZyM+Pl6iBs/Pz8e7776L2bNn\nIzs7G7fddhvtj7t27UJ+fj4ef/xxjB07Fm+++abXb/e0Pt8Z7/3zzz/HxRdfDKfTSY//5z//iby8\nPK/raTQavPrqq0hLS6OfiaIIh8MBq9WKn376CcnJyUhKSpI8gwMHDtC/f/jhBzz33HOKJaZ27dqF\nyy+/nP6dmpqKbdu2ITIy0ucz8EVpaSnS0tIkZrB169bRKg19Yb4L9Az80RvGOhB4vLN/79q1S9J3\nS0pKsGDBAmRlZWH27Nl4++23fZorf/WrX+G+++7z+ryxsRGAy5TJPo/ExEQkJSXh4MGDAICCggIk\nJyfj448/loxNwPX+hw8fLnlOjz76KJYvXx7Mo+gUuNDE0NjYiNtvvx2TJk3Cli1b8Pbbb6O4uBiv\nvfYaPWb//v04efIk/va3v+Gxxx7De++9hx07dij+Xk5ODhISEujfGzduhMPhwJgxY1BZWQlBEBAf\nH0+/j42NhSiK1AfjnnvuwW233QatVksnIEJJSQmioqKwcuVK5Obm4oYbbsC+ffs65TmsX78eX3zx\nBdauXYuNGzciNjYWixYtgsPhoMds2LABjz32GP7617/ixIkTWLVqleJvJScnY9SoUfTvc+fOYcuW\nLbj00ksBAGfPnpU8A/Iczpw5A8Dll/Lqq68iOTnZ67dLSkqQkpKCTz/9FDNmzMC0adPw5z//2WvC\nBYBhw4YhISEB33//Pf3s3//+N6ZOnSo5/rXXXsN3332HdevWYevWrbj66qvxxBNPoLq6mh6zefNm\n/OUvf1GcMHtKe/2xZcsWTJkyBYBr0vzss88k369btw5Lly7Fxo0bYbPZcPfdd9PvysrK6ETPLpCE\nntbnO+O9T506FXa7HT/++CM9fuvWrbjyyiu9rmc0GpGbmwu9Xk8/e++99zB8+HBERkaisrLS6/3H\nxMRI/K7WrVun6MvU0NCAuro6tLW1YfHixcjNzcWdd95J+057kD9j+Wd9Yb4L9Ax80RvGOhB4vMsh\nbXc4HLj99tsRGRmJjz76CLfddhvWrVvn89kMHjwYw4cPp38fPXoUP/74IyZMmAAAin0/NjaWvv+8\nvDw888wzihuAkpISpKam4u2338bUqVMxc+ZMfPDBB+oeQCfDhSaG5uZm3HXXXbjjjjuQnJyM7Oxs\nXHHFFTh27Bg9RhRFPPnkkxg4cCBmz56NtLQ0HDp0KOBvHzx4EM899xyWLFmCmJgY2Gw2AIDBYKDH\nkP/b7faAv2e1WvHmm28iPj4eb775JsaOHYvFixernkB///vfIzs7m/7LyclBc3MzAOCtt97CAw88\ngLFjx2LQoEF4/PHHUVdXJ1l4li1bhtzcXIwYMQKPPvooPv/8c1itVr/XbGlpwfLlyxEfH4/rr78e\ngOuZs8+APAe1z+DkyZPYuHEjnnnmGaxYsQLr16/Hu+++q3h8fn4+dUy02+3Yvn07pk6dKjkmPT0d\nTz/9NEaNGoXU1FQsXboUbW1tOHHiBD1m9uzZGDp0qGSC6IntVaKiogL79u2ji/IVV1yBkpIS7N27\nlx5zzTXX4KqrrsJFF12EVatWYd++fXQMCIKApUuXol+/fkhMTPR7rZ7S5zv63i0WC6ZMmYKtW7cC\ncL3Db775BjNnzgx4z++//z7++c9/4sEHHwQA2Gw2iUBFnkFra6uq9gPA008/jblz5+LVV1+F3W7H\n7bffHvDc9nKhzHddTU8c64C68e6LHTt2oKKiAqtWrcKQIUNw5ZVX4pZbblF13erqaixfvhxjxoyh\nY62jz2P79u3Yt28fXn75ZSxZsgSrV6/Gv//9b1X305nouv2KPZjY2FjMmTMHf/nLX3D48GEcO3YM\nR44cQU5ODj0mJiYGFouF/h0SEhJwwtu/fz+WLl2Kyy67jO7ajUYjANeEIZ88zGZzwHvVarVIT0/H\nsmXLALh2Lf/5z3/w2WefYenSpQHPv+eeeyRqfsClPrZaraioqMBvfvMbyXd2ux0nT56kf48cOZL+\nf8SIEWhra0NxcbFEtctitVpxxx13oLi4GBs2bKDtNxqNXoPGbrcjPDw8YBu0Wi2amprwwgsv0AW8\ntLQUGzZswIIFC7yOnzp1Ku6++244nU7s2LEDw4YNQ3R0tNcx27dvx7PPPovjx4/j559/hiAIEtOM\nXJXeU9urxObNm2EymZCbmwsAGDduHMLDw/Hpp59izJgxAIDs7Gx6fGpqKiIiIlBUVISoqCgAUNwZ\ny+lJfb4z3vuVV16JlStX4vHHH8fXX3+NhIQEjBgxwu/9/t///R+efvppPPLII3S3bTQaveYLu90O\nk8mkqv0AcO2112LWrFkAXNFoEydOxIEDB5CVlRXwN4LlQpnvupKeOtYBdePdF7/88gsGDhwoef9Z\nWVn44osv/J5XVVWFhQsXQhAEvPTSS/RzX89Dbd93Op14/vnnYTQakZGRgcLCQvztb3/zWse6mj6n\naaqqqpIs/qIoQqdzyY5nzpzBrFmz8OOPPyIzMxMPP/wwFi5cKDlfvkskv+GLnTt3YtGiRZgwYQKe\nf/55+jlRYxN7PgCqwo6LiwvYjri4OAwePFjy2cCBA718j3wRHR2Nfv36Sf4BoCa4l156CX//+9/p\nP2KyIJAJHPC0X+nZAC6z56JFi1BUVIR3332XXgtwPYfKykrJ8VVVVaqeQXx8PIxGo0TjMWjQIMUQ\ncwB0kti7dy+2bdumaAJZu3YtHnjgAej1esydOxebNm3yer9kUvRFT2mvElu2bEFzczNycnKQkZGB\n0aNHo76+Hlu3bkVLSwsA0PFAcDqd0Gg8U4V8tyinp/X5znjvkydPhsPhwM6dO/Gvf/0roJbprbfe\nwpNPPokHH3xQsjvvyPuPioqCTqfDoEGD6GeRkZGIjIz0+Qz8zXdKZpa2tjbJ3xfCfNfRZ+CPnjzW\ngcDjXd5+1gVDq9V6vetA5sEzZ87g5ptvhsPhwPr16+lGi7SJff+A63nITXZKxMXFITExUTL3tud5\ndAZ9Tmh66623JM6MDQ0N9MV++eWXiIqKwquvvor58+djzJgxKC4ubpcdGXBJ6nfeeSemTJmCF198\nUSJoxMfHIykpSaIm3bNnD5KSkhAbGxvwt7OyslBYWCj57Pjx46q0IP4ICwtDTEwMKisrqTCVmJiI\n5557TmKiOnLkCP3/wYMHYTAYkJqa6vV7oihi2bJlKC0txfvvv48hQ4ZIvh89erTEN8Fms6GgoEDV\nrnn06NFoaWnBqVOn6GdFRUU+n4FWq8WUKVOwbds2fP3114o7lA8++ACPPfYYfvvb32LGjBnUgVht\nH+hJ7ZVz8uRJFBQU4NFHH8Vnn31G/z3//PNobGykqu7Dhw/Tc06dOoXGxsaApkhCT+zznfHeDQYD\nLr/8cnz55ZfYvn27oj8T4ZNPPsGaNWvwyCOPeGkFRo8ejbKyMolZae/evarev1arRWZmpuQZVFdX\no6amxucz8Dff6fV6iKIocZL3lUdIDT3x3QNd9wx68lgH1I13vV4vaXtxcTH9/2EzVDIAAAnaSURB\nVEUXXYRTp05J3C7++9//+ryezWbDkiVLoNfr8f7773u916ysLMn7Ly8vR0VFBUaPHh2wLVlZWSgt\nLaVO5UDwz6Oz6HNC07hx47Bz507s2LEDhYWF+Otf/4qJEycCcO3aysrKsGPHDpSUlOD111/Hv//9\nb1X+BkqsXLkSycnJWLFiBaqrq1FVVYWqqiq6o7/hhhuwZs0a7Nq1Czt37sQLL7ygGDEDeC/aN9xw\nA44cOYJ169ahuLgYL730Ek6fPo3Zs2e3615ZFixYgLVr1+Lrr7/GyZMn8cgjj2D//v2Snd6LL76I\nHTt24MCBA3j66adxww03KGpgNm3ahF27duGpp55CaGgofQZ1dXUAgHnz5mHfvn144403cOzYMTz0\n0EPo378/xo8fH/A+Bw0ahMsuuwwrVqxAYWEhvv/+e7zxxhu46aabfJ6Tn5+PTZs2ITY2VnHARUZG\n4uuvv0ZJSQn27NmDBx54AIIgqLK798T2smzevBmRkZG47rrrMHToUPpv5syZGDJkCD755BMALsfl\nr776CoWFhTRJY//+/VVdo6f2+c5471deeSU+/PBDJCQkeC2QhLq6Ojz55JOYO3cuZsyYQdtfVVUF\nURTRr18/5Obm4ne/+x2OHDmCTZs24YsvvlCdWHbhwoVYv349tm7diqKiIjz88MMYMWKExCGZxd98\nFxsbi6SkJLz11lsoKSnBxx9/jG+//VbVfSjRU999Vz2DnjzWAXXjfdSoUdi0aROOHj2KnTt34p13\n3qHnT5gwAUlJSXj00UdRVFSErVu3Yv369T4dwV999VWcPn0aq1evhtPppM+DCDo33ngjPvvsM3z4\n4YcoLCzEgw8+iLy8PFWCz6WXXopBgwZhxYoVOH78OLZs2YKPPvooqOfRWfQ5n6b8/HwsXLgQv/vd\n79Dc3Izp06dTm/iMGTOwZ88e3HvvvQBcfjsrVqzAK6+84lNw8tWBqqqqaCgliVwgrF69GnPnzsWS\nJUtQU1OD5cuXQ6vV4tprr/U5icivk5ycTE0Ab7zxBoYMGYLXX39dlaozUGTI4sWLYbVasXLlSjQ2\nNiIzMxNvvvkmwsLC6PkLFizAI488gtraWlx55ZW4//77FX/rX//6F0RR9HJWHTduHN577z2kpKTg\nlVdewdNPP40///nPyMnJ8ZmlWem+16xZg6eeego333wzzGYz5s+f77UAsefl5ubC4XBITDTs96tW\nrcIf/vAHzJo1CwkJCbj22muh1+tRUFCA3NzcgM+uJ7TXF1u2bMGcOXMUTS433ngjVq1aBUEQMH/+\nfLzwwgsoKytDXl4eHn/8cVW/39P6fGe+dwC4+OKLERISohg1SPjPf/4Dm82GTz/9lIZyi6IIQRCw\nbds2JCcn49lnn8Wjjz6K66+/HnFxcVi1ahUyMzN9/ibL9OnTUV9fj+eeew41NTW4+OKL8ac//cnn\n8f7mO0EQsGrVKjz55JO46qqrMGHCBNxxxx1+hYbeON919jMg9OSxDqgb7++//z7Wrl2LefPmYfDg\nwbj33nupP6sgCHjllVfw2GOP4Ve/+hUGDx6MefPm4bvvvvP5PJqbm3HddddJPp87dy5Wr16NrKws\nPPHEE3jppZdQV1eH3NxcPPnkk6qeh0ajwWuvvYbHH38c8+bNQ1RUFB566CGvvtYdCGJ7bU8cDueC\nIz8/H3fffTfmzp17vm+lx9HY2Ijc3Fxs3rxZ0RTN4VxIVFdXSzYNgMvU+e233+K99947j3d2fulz\n5jkOh8MJlq1bt+L3v/89cnJyuMDE6TPccccd2LBhA8rKyrB9+3a8++67mDFjxvm+rfNKnzPPcTgc\n36hJ6tcXWbNmDXQ6Hf73f//3fN8Kh9MtREdH46WXXsKLL76IZ555BjExMZg/fz5uvPHG831r5xVu\nnuNwOBwOh8NRATfPcTgcDofD4aiAC00cDofD4XA4KuBCE4fD4XA4HI4KuNDE4XA4HA6HowIuNHE4\nHA6Hw+GogAtNHA6Hw+FwOCrgeZo4HE6PJT8/H2VlZfRvvV6P2NhYXHbZZbjnnnskVdQD8emnn2Ly\n5MmIjo7uilvlcDh9AJ6nicPh9Fjy8/MxY8YMLFq0CADQ3NyMX375Bc899xw0Gg0++OADhIaGBvyd\n3bt3Y/78+fjqq6+QnJzc1bfN4XAuULh5jsPh9GjMZjNiYmIQExODlJQU5OXl4e2330Z5eTneeust\nVb/hdDp5tnMOh9NhuNDE4XB6HUlJSbj88svxxRdfAAB++eUX3H777Rg/fjwyMzMxbdo0vPPOOwCA\nXbt24de//jVEUcTUqVPx6aefAgD27duHW265BaNHj0ZeXh6eeOIJNDY2nrc2cTicng8XmjgcTq9k\n2LBhKCkpQWNjIxYtWoSoqCh88MEH2LJlC2bMmIFnn30WhYWFyMnJwSuvvAJBEPDhhx9i5syZKCws\nxKJFizB58mRs3rwZzz//PAoKCrBkyZLz3SwOh9OD4UITh8PplYSHhwMAGhoasGDBAqxcuRKDBg1C\n//79sWzZMgAuDZROp0NERAQAICoqCgaDAW+//TZyc3OxdOlS9OvXDzk5OfjjH/+IAwcOYPfu3eet\nTRwOp2fDo+c4HE6vpKGhAQAQGRmJG2+8EZ9//jkKCgpQXFyMwsJCCIIAp9OpeG5BQQFOnTqF7Oxs\nyeeCIKCoqAjjxo3r8vvncDi9Dy40cTicXsnPP/+MAQMGoKmpCddddx1iY2ORn5+P3NxcjBw5Epdd\ndpnPc51OJ2bNmoU77rjD67tg0hhwOJy+BReaOBxOr6OiogLbtm3D0qVLsXnzZtTX1+PLL7+ERuPy\nODhy5AgAgGRUkUfOXXTRRSgqKkK/fv3oZ0VFRfjjH/+I+++/H0OHDu2mlnA4nN4E92nicDg9GqvV\niqqqKlRVVeH06dP48ssvceutt6Jfv35YuHAhEhMTYbPZsGXLFpSXl+OHH37AfffdB0EQYLfbAQAW\niwWiKKKgoABWqxWLFi3Czz//jCeeeAJFRUXYv38/7r//fpSUlGDgwIHnt8EcDqfHwpNbcjicHkt+\nfj7Ky8vp3zqdDsnJyZg5cyYWLVqEsLAwAMALL7yAjz/+GE1NTUhJScE111yDbdu2YcCAAXjqqafQ\n2tqKZcuWYceOHfjtb3+LBQsWYOfOnXjppZdQUFAAi8WCCRMm4IEHHkBCQsL5ai6Hw+nhcKGJw+Fw\nOBwORwXcPMfhcDgcDoejAi40cTgcDofD4aiAC00cDofD4XA4KuBCE4fD4XA4HI4KuNDE4XA4HA6H\nowIuNHE4HA6Hw+GogAtNHA6Hw+FwOCrgQhOHw+FwOByOCrjQxOFwOBwOh6MCLjRxOBwOh8PhqIAL\nTRwOh8PhcDgq+H9SHYTiGA0FvAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11cf2a400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.groupby(df[df['Reason']=='Traffic'],'Date').count().plot.line(y='e')\n",
    "plt.title('Traffic')\n",
    "plt.legend().remove()\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "8a1cea6a-6f5e-493d-b70a-1d17880c00b0"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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0QaKJUCBbmmyK/wFrNSI2uSVgPCs4BYKbA8VJEIQ1ULvjEuSe04REE6EgPU+T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\nA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Xj22Wfja4Akw4UmBo/Hg+9///u46qqrUFBQgNraWqxYsQKNjY30GFEUcccd\nd6CsrAwrV65EZWUlduzYMei5P/vsM9x77724/PLLkZmZCbfbDQAwmUz0GPJvn8836PlcLhceffRR\n5OTk4NFHH8WcOXNw2WWXxT2B3nrrraitraX/1dXVwePxAAAee+wx/OQnP8GcOXNQXl6O2267DT09\nPYqF55prrsGiRYswffp03HzzzXjllVfgcrliXtPr9eLaa69FTk4OLrjgAgBSm7NtQNoh3jZoamrC\nc889h3vuuQc33HAD1q9fj6eeekrz+GXLllHHRJ/Ph40bN2L58uWKY6qqqnDnnXdi1qxZKCoqwpo1\naxAIBLB37156zMqVKzFlyhTFBDEWn1eLlpYWfPrpp3RRXrFiBZqbm7FlyxZ6zHnnnYczzzwTU6dO\nxV133YVPP/2UjgFBELBmzRoUFxcjLy8v5rXGSp8f7nu32WxYsmQJNmzYAEB6h++++y5OP/30Qe/5\n6aefxptvvomf/vSnAAC3260QqEgb+P3+uJ4fAO68806cc845+MMf/gCfz4crr7xy0N8OlWNlvhtp\nxuJYB+Ib79HYtGkTWlpacNddd2Hy5Mk444wzcMkll8R13c7OTlx77bWor6+nY2247bFx40Z8+umn\nePDBB3H55Zfj7rvvxr/+9a+47ieZGEb9imOYrKwsnH322XjyySfR0NCAxsZGfPnll6irq6PHZGZm\nwmaz0b9TUlIGnfC2bt2KNWvW4MQTT6S7drPZDECaMNSTh9VqHfRe9Xo9qqqqcM011wCQdi0ffPAB\nXn75ZaxZs2bQ3//gBz9QqPkBSX3scrnQ0tKCH/3oR4rvfD4fmpqa6N8zZ86k/54+fToCgQD279+v\nUO2yuFwuXHXVVdi/fz+eeeYZ+vxmszli0Ph8PqSmpg76DHq9HgMDA/jNb35DF/CDBw/imWeewXe/\n+92I45cvX47rrrsOoVAImzZtwrRp05CRkRFxzMaNG/GrX/0Ke/bswRdffAFBEBSmGbUqfaw+rxav\nvvoqLBYLFi1aBACYO3cuUlNT8fe//x319fUAgNraWnp8UVERnE4ndu/ejfT0dADQ3BmrGUt9Phnv\n/YwzzsDPf/5z3HbbbXjnnXeQm5uL6dOnx7zf//f//h/uvPNO3HTTTXS3bTabI+YLn88Hi8US1/MD\nwPnnn4+zzjoLgBSNtnDhQmzbtg01NTWDniNRjpX5biQZq2MdiG+8R+Orr75CWVmZ4v3X1NTgtdde\ni/m79vZ2rFq1CoIg4IEHHqCfR2uPePt+KBTCr3/9a5jNZlRXV2PXrl3461//GrGOjTQTTtPU3t6u\nWPxFUYTBIMmOra2tOOuss/Dhhx9ixowZuPHGG7Fq1SrF79W7RHKOaGzevBmrV6/GggUL8Otf/5p+\nTtTYxJ4PgKqws7OzB32O7OxsTJo0SfFZWVlZhO9RNDIyMlBcXKz4DwA1wT3wwAP4xz/+Qf8jJgsC\nmcAB+fm12gaQzJ6rV6/G7t278dRTT9FrAVI7tLW1KY5vb2+Pqw1ycnJgNpsVGo/y8nLNEHMAdJLY\nsmUL3n77bU0TyNq1a/GTn/wERqMR55xzDp5//vmI90smxWiMlefV4vXXX4fH40FdXR2qq6sxe/Zs\n9Pb2YsOGDfB6vQBAxwMhFApBp5OnCvVuUc1Y6/PJeO+LFy9GMBjE5s2b8c9//v/27j6mqvoP4Pj7\nysOmSYFgPAX+EO2PRkE0dNSdyC3nLmbRSIKMBUQuGpUzVAwkA4RERBg9mIQuYTUGKS5krEBmDzKQ\n1La8Xazr5EGwdQchV6AHub8/HHdeATmVxiU/r42Ney7n3O/DOed+zvl8z5fPp7zLVFZWRnZ2Nps3\nb7a6Ov8n/e/i4oK9vT1+fn6WZc7Ozjg7O0/aBjc6302UZvnzzz+tXv8Xznf/tA1uxJaPdZj6eL++\n/tcOwbCzsxvX11OlB3/++WfWrl3LlStXKC8vt1xojdXp2v6Hq+1xfcpuIvPnz8fDw8Pq3Pt32uNm\nuO2CprKyMqvBjIODg5aObWhowMXFhT179hAXF8dDDz1EZ2fn38ojw9VI/eWXX2b58uUUFRVZBRp3\n3303np6eVrdJ29ra8PT0xM3NbcptBwUFodfrrZadO3dO0V2QG3FycsLV1ZVffvnFEkx5eHiQn59v\nlaJqb2+3/P7dd9/h6OjIPffcM257ZrOZlJQULly4QEVFBf7+/lbvBwYGWo1NGB4eRqfTKbpqDgwM\n5LfffqOjo8OyzGAwTNoGdnZ2LF++nMbGRpqamia8QqmsrGTr1q1s2LABrVZrGUCsdB+wpfpe7/z5\n8+h0OjIyMjh8+LDlZ9euXZhMJsut7h9++MGyTkdHByaTacpU5Bhb3OdvRr87OjqyYsUKGhoaOH78\n+ITjmcYcOnSIgoIC0tPTx90VCAwMpKenxyqt9O233yrqfzs7OwICAqzaoK+vj/7+/knb4EbnOwcH\nB8xms9Ug+cnmEVLCFvsebl0b2PKxDsqOdwcHB6u6d3Z2Wn5fvHgxHR0dVsMuvv/++0k/b3h4mKSk\nJBwcHKioqBjXr0FBQVb939vby8WLFwkMDJyyLkFBQVy4cMEyqBz+envcLLdd0BQSEkJLSwvNzc3o\n9Xo+/vhjHnnkEeDqVVtPTw/Nzc10dXWxd+9evvjiC0XjDSaSmZmJl5cXaWlp9PX1YTQaMRqNliv6\nmJgYCgoKaG1tpaWlhcLCwgmfmIHxX9oxMTG0t7fzzjvv0NnZSXFxMd3d3TzxxBN/q6zXio+PZ/fu\n3TQ1NXH+/HnS09M5deqU1ZVeUVERzc3NnD59mu3btxMTEzPhHZiqqipaW1vJyclh7ty5ljYYGBgA\nICoqipMnT1JaWspPP/3Eli1b8PX1ZcmSJVOW08/Pj7CwMNLS0tDr9Xz11VeUlpby7LPPTrqORqOh\nqqoKNze3CQ84Z2dnmpqa6Orqoq2tjU2bNqFSqRTl3W2xvteqra3F2dmZ6OhoFi1aZPmJiIjA39+f\nQ4cOAVcHLh89ehS9Xm+ZpNHX11fRZ9jqPn8z+n3VqlVUV1fj7u4+7gtyzMDAANnZ2URGRqLVai31\nNxqNmM1mfHx8UKvVbNy4kfb2dqqqqjhy5IjiiWUTEhIoLy+nvr4eg8HAG2+8wX333Wc1IPlaNzrf\nubm54enpSVlZGV1dXRw8eJBjx44pKsdEbLXvb1Ub2PKxDsqO9wceeICqqip+/PFHWlpa2L9/v2X9\n0NBQPD09ycjIwGAwUF9fT3l5+aQDwffs2UN3dzd5eXmMjo5a2mMs0ImNjeXw4cNUV1ej1+vZvHkz\n4eHhigKfhx9+GD8/P9LS0jh37hx1dXV8+umnf6k9bpbbbkyTRqMhISGBjRs3MjIywsqVKy05ca1W\nS1tbG+vXrweujttJS0ujpKRk0sBpsh3IaDRaHqUce3JhTF5eHpGRkSQlJdHf388rr7yCnZ0da9as\nmfQkcv3neHl5WVIApaWl+Pv7s3fvXkW3Oqd6MuSFF15gaGiIzMxMTCYTAQEBfPjhhzg5OVnWj4+P\nJz09nV9//ZVVq1aRmpo64bY+//xzzGbzuMGqISEhHDhwAG9vb0pKSti+fTvvvfcewcHBk87SPFG5\nCwoKyMnJYe3atcyePZu4uLhxX0DXrqdWq7ly5YpViuba93Nzc3nrrbdYvXo17u7urFmzBgcHB3Q6\nHWq1esq2s4X6Tqauro4nn3xywpRLbGwsubm5qFQq4uLiKCwspKenh/DwcLZt26Zo+7a2z9/MfgdY\nunQpd9xxx4RPDY755ptvGB4epqamxvIot9lsRqVS0djYiJeXFzt27CAjI4NnnnmG+fPnk5ubS0BA\nwKTbvNbKlSu5dOkS+fn59Pf3s3TpUt59991J//5G5zuVSkVubi7Z2dk8/vjjhIaGkpycfMOgYSae\n7252G4yx5WMdlB3vFRUV7N69m6ioKBYuXMj69est41lVKhUlJSVs3bqVp556ioULFxIVFcWXX345\naXuMjIwQHR1ttTwyMpK8vDyCgoLIysqiuLiYgYEB1Go12dnZitpj1qxZfPDBB2zbto2oqChcXFzY\nsmXLuH3t36Ay/93ckxDiP0ej0fDqq68SGRk53UWxOSaTCbVaTW1t7YSpaCH+S/r6+qwuGuBqqvPY\nsWMcOHBgGks2vW679JwQQvxV9fX1vPnmmwQHB0vAJG4bycnJfPLJJ/T09HD8+HE++ugjtFrtdBdr\nWt126TkhxOSUTOp3OyooKMDe3p73339/uosixL9i3rx5FBcXU1RUxNtvv42rqytxcXHExsZOd9Gm\nlaTnhBBCCCEUkPScEEIIIYQCEjQJIYQQQiggQZMQQgghhAISNAkhhBBCKCBBkxBCCCGEAhI0CSGE\nEEIoIPM0CSFslkajoaenx/LawcEBNzc3wsLCeO2116z+i/pUampqWLZsGfPmzbsVRRVC3AZkniYh\nhM3SaDRotVoSExMBGBkZ4ezZs+Tn5zNr1iwqKyuZO3fulNs5ceIEcXFxHD16FC8vr1tdbCHEf5Sk\n54QQNm327Nm4urri6uqKt7c34eHh7Nu3j97eXsrKyhRtY3R0VGY7F0L8YxI0CSFmHE9PT1asWMGR\nI0cAOHv2LC+99BJLliwhICCAxx57jP379wPQ2trK888/j9ls5tFHH6WmpgaAkydP8txzzxEYGEh4\neDhZWVmYTKZpq5MQwvZJ0CSEmJHuvfdeurq6MJlMJCYm4uLiQmVlJXV1dWi1Wnbs2IFeryc4OJiS\nkhJUKhXV1dVERESg1+tJTExk2bJl1NbWsmvXLnQ6HUlJSdNdLSGEDZOgSQgxI915550ADA4OEh8f\nT2ZmJn5+fvj6+pKSkgJcvQNlb2/PXXfdBYCLiwuOjo7s27cPtVrNunXr8PHxITg4mJ07d3L69GlO\nnDgxbXUSQtg2eXpOCDEjDQ4OAuDs7ExsbCyfffYZOp2Ozs5O9Ho9KpWK0dHRCdfV6XR0dHTw4IMP\nWi1XqVQYDAZCQkJuefmFEDOPBE1CiBnpzJkzLFiwgMuXLxMdHY2bmxsajQa1Ws39999PWFjYpOuO\njo6yevVqkpOTx733V6YxEELcXiRoEkLMOBcvXqSxsZF169ZRW1vLpUuXaGhoYNasqyMO2tvbARib\nUeX6J+cWL16MwWDAx8fHssxgMLBz505SU1NZtGjRv1QTIcRMImOahBA2bWhoCKPRiNFopLu7m4aG\nBl588UV8fHxISEjAw8OD4eFh6urq6O3t5euvv+b1119HpVLx+++/AzBnzhzMZjM6nY6hoSESExM5\nc+YMWVlZGAwGTp06RWpqKl1dXfzvf/+b3goLIWyWTG4phLBZGo2G3t5ey2t7e3u8vLyIiIggMTER\nJycnAAoLCzl48CCXL1/G29ubp59+msbGRhYsWEBOTg5//PEHKSkpNDc3s2HDBuLj42lpaaG4uBid\nTsecOXMIDQ1l06ZNuLu7T1d1hRA2ToImIYQQQggFJD0nhBBCCKGABE1CCCGEEApI0CSEEEIIoYAE\nTUIIIYQQCkjQJIQQQgihgARNQgghhBAKSNAkhBBCCKGABE1CCCGEEApI0CSEEEIIoYAETUIIIYQQ\nCkjQJIQQQgihwP8BZshPTi/+fdUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11cec2588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.groupby(df[df['Reason']=='Fire'],'Date').count().plot.line(y='e')\n",
    "plt.title('Fire')\n",
    "plt.legend().remove()\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "af1f3c54-34ed-424f-b80a-ce6f8b8bdabf"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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phGoQrUUFaSF7rjBz6zTFk1l85Y4XcM+vX/P0eUqSEqmcI8NsKkkTU7Xs8Bzz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7do6RzuwWZl1A+39qxqbN3ilqz3nAxZltNXp0nlWaI6TQQhhue0hOBqlNZzHTo814Y6TQDQ3NIK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\nzz77rPJ3c3OzXFlZK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      "text/plain": [
       "<matplotlib.figure.Figure at 0x116d1e2e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.groupby(df[df['Reason']=='EMS'],'Date').count().plot.line(y='e')\n",
    "plt.title('EMS')\n",
    "plt.legend().remove()\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "82306c0e-0b83-4cf9-a33a-8e11c3d05bc6"
    }
   },
   "source": [
    "Let's create a heatmap for the counts of calls on each hour, during a given day of the week."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "eab620e5-286a-41ed-89be-930e650b02bc"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Hour</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Day of Week</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",
       "      <th></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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fri</th>\n",
       "      <td>275</td>\n",
       "      <td>235</td>\n",
       "      <td>191</td>\n",
       "      <td>175</td>\n",
       "      <td>201</td>\n",
       "      <td>194</td>\n",
       "      <td>372</td>\n",
       "      <td>598</td>\n",
       "      <td>742</td>\n",
       "      <td>752</td>\n",
       "      <td>...</td>\n",
       "      <td>932</td>\n",
       "      <td>980</td>\n",
       "      <td>1039</td>\n",
       "      <td>980</td>\n",
       "      <td>820</td>\n",
       "      <td>696</td>\n",
       "      <td>667</td>\n",
       "      <td>559</td>\n",
       "      <td>514</td>\n",
       "      <td>474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mon</th>\n",
       "      <td>282</td>\n",
       "      <td>221</td>\n",
       "      <td>201</td>\n",
       "      <td>194</td>\n",
       "      <td>204</td>\n",
       "      <td>267</td>\n",
       "      <td>397</td>\n",
       "      <td>653</td>\n",
       "      <td>819</td>\n",
       "      <td>786</td>\n",
       "      <td>...</td>\n",
       "      <td>869</td>\n",
       "      <td>913</td>\n",
       "      <td>989</td>\n",
       "      <td>997</td>\n",
       "      <td>885</td>\n",
       "      <td>746</td>\n",
       "      <td>613</td>\n",
       "      <td>497</td>\n",
       "      <td>472</td>\n",
       "      <td>325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sat</th>\n",
       "      <td>375</td>\n",
       "      <td>301</td>\n",
       "      <td>263</td>\n",
       "      <td>260</td>\n",
       "      <td>224</td>\n",
       "      <td>231</td>\n",
       "      <td>257</td>\n",
       "      <td>391</td>\n",
       "      <td>459</td>\n",
       "      <td>640</td>\n",
       "      <td>...</td>\n",
       "      <td>789</td>\n",
       "      <td>796</td>\n",
       "      <td>848</td>\n",
       "      <td>757</td>\n",
       "      <td>778</td>\n",
       "      <td>696</td>\n",
       "      <td>628</td>\n",
       "      <td>572</td>\n",
       "      <td>506</td>\n",
       "      <td>467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun</th>\n",
       "      <td>383</td>\n",
       "      <td>306</td>\n",
       "      <td>286</td>\n",
       "      <td>268</td>\n",
       "      <td>242</td>\n",
       "      <td>240</td>\n",
       "      <td>300</td>\n",
       "      <td>402</td>\n",
       "      <td>483</td>\n",
       "      <td>620</td>\n",
       "      <td>...</td>\n",
       "      <td>684</td>\n",
       "      <td>691</td>\n",
       "      <td>663</td>\n",
       "      <td>714</td>\n",
       "      <td>670</td>\n",
       "      <td>655</td>\n",
       "      <td>537</td>\n",
       "      <td>461</td>\n",
       "      <td>415</td>\n",
       "      <td>330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thu</th>\n",
       "      <td>278</td>\n",
       "      <td>202</td>\n",
       "      <td>233</td>\n",
       "      <td>159</td>\n",
       "      <td>182</td>\n",
       "      <td>203</td>\n",
       "      <td>362</td>\n",
       "      <td>570</td>\n",
       "      <td>777</td>\n",
       "      <td>828</td>\n",
       "      <td>...</td>\n",
       "      <td>876</td>\n",
       "      <td>969</td>\n",
       "      <td>935</td>\n",
       "      <td>1013</td>\n",
       "      <td>810</td>\n",
       "      <td>698</td>\n",
       "      <td>617</td>\n",
       "      <td>553</td>\n",
       "      <td>424</td>\n",
       "      <td>354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tue</th>\n",
       "      <td>269</td>\n",
       "      <td>240</td>\n",
       "      <td>186</td>\n",
       "      <td>170</td>\n",
       "      <td>209</td>\n",
       "      <td>239</td>\n",
       "      <td>415</td>\n",
       "      <td>655</td>\n",
       "      <td>889</td>\n",
       "      <td>880</td>\n",
       "      <td>...</td>\n",
       "      <td>943</td>\n",
       "      <td>938</td>\n",
       "      <td>1026</td>\n",
       "      <td>1019</td>\n",
       "      <td>905</td>\n",
       "      <td>731</td>\n",
       "      <td>647</td>\n",
       "      <td>571</td>\n",
       "      <td>462</td>\n",
       "      <td>274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wed</th>\n",
       "      <td>250</td>\n",
       "      <td>216</td>\n",
       "      <td>189</td>\n",
       "      <td>209</td>\n",
       "      <td>156</td>\n",
       "      <td>255</td>\n",
       "      <td>410</td>\n",
       "      <td>701</td>\n",
       "      <td>875</td>\n",
       "      <td>808</td>\n",
       "      <td>...</td>\n",
       "      <td>904</td>\n",
       "      <td>867</td>\n",
       "      <td>990</td>\n",
       "      <td>1037</td>\n",
       "      <td>894</td>\n",
       "      <td>686</td>\n",
       "      <td>668</td>\n",
       "      <td>575</td>\n",
       "      <td>490</td>\n",
       "      <td>335</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Hour          0    1    2    3    4    5    6    7    8    9  ...    14   15  \\\n",
       "Day of Week                                                   ...              \n",
       "Fri          275  235  191  175  201  194  372  598  742  752 ...   932  980   \n",
       "Mon          282  221  201  194  204  267  397  653  819  786 ...   869  913   \n",
       "Sat          375  301  263  260  224  231  257  391  459  640 ...   789  796   \n",
       "Sun          383  306  286  268  242  240  300  402  483  620 ...   684  691   \n",
       "Thu          278  202  233  159  182  203  362  570  777  828 ...   876  969   \n",
       "Tue          269  240  186  170  209  239  415  655  889  880 ...   943  938   \n",
       "Wed          250  216  189  209  156  255  410  701  875  808 ...   904  867   \n",
       "\n",
       "Hour           16    17   18   19   20   21   22   23  \n",
       "Day of Week                                            \n",
       "Fri          1039   980  820  696  667  559  514  474  \n",
       "Mon           989   997  885  746  613  497  472  325  \n",
       "Sat           848   757  778  696  628  572  506  467  \n",
       "Sun           663   714  670  655  537  461  415  330  \n",
       "Thu           935  1013  810  698  617  553  424  354  \n",
       "Tue          1026  1019  905  731  647  571  462  274  \n",
       "Wed           990  1037  894  686  668  575  490  335  \n",
       "\n",
       "[7 rows x 24 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_hour = df.pivot_table(values='lat',index='Day of Week',columns='Hour',aggfunc='count')\n",
    "\n",
    "day_hour"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "bd195977-87f2-400b-870f-1968004038c4"
    }
   },
   "source": [
    "** Now create a HeatMap using this new DataFrame. **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "53dc5fd4-ae5d-4d5a-a425-52979273e129"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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xQW5urtr2vLw8ODk5aXxcgyliQkNDUVhYWK09Pz8fkydP1kNGRERExqmuJ/ZeuHABAQEB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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11cf0cac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(day_hour)\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that most calls take place around the end of office hours on weekdays. We can create a clustermap to pair up similar Hours and Days."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "2a6b55a5-dd45-4514-a4cc-4be26384fcf7"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0x11c49f320>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AQBLhCAAAIIlwBAAAkEQ4AgAASCIcAQAAJBGOAAAAkghHAAAASYQjAACAJMIR\nAABAkqRjsRsAAADav+effz5Tp07NM888k40bN242/sILLxShq6aEIwAAoODOPvvsdOvWLZdeemm6\ndu1a7Ha2SDgCAAAKbsmSJfnlL3+Z3XffvditfCD3HAEAAAU3aNCgLF68uNhtfCgrRwAAQMGNGTMm\n3//+93Psscdm9913z3bbbddk/Oijjy5SZ38lHAEAAAV3zTXXpFOnTvnVr3612VhZWZlwBAAAfDLc\nf//9xW7hIwlHAABAm1i5cmVmzZqVxYsX57333suee+6Z448/PnvssUexW0tiQwYAAKANPPnkk/n7\nv//7PP744/nUpz6VT33qU5k7d27GjBmTefPmFbu9JFaO2IJx48alrq6u2G2kpqam2C0AALCVXHjh\nhTnppJPyne98p8nxiy++ONOnT8+///u/F6mzvxKO2ExdXZ1gAgDAVvXyyy/n4osv3uz4cccdlxtu\nuKEIHW3OZXUAAEDB9evXLwsXLtzs+IIFC9KrV68idLQ5K0cAAEDBnXzyyTnvvPOyZMmS7Lfffkne\nD0Y33HBDzjzzzCJ39z7hCAAAKLhjjz02SXLjjTfm+uuvT2VlZQYMGJALLrgg//AP/1Dk7t4nHAEA\nAG3i2GOPbQxJ2yLhCAAAKIiZM2c2+9xJkyYVsJPmEY4AAICCmDlzZsrLyzNo0KB06dIlDQ0NWzyv\nrKysjTvbMuEIAAAoiPPOOy/33ntvnn766VRVVeXwww/P4Ycfnh49ehS7tS0SjgAAgIL4yle+kq98\n5St5++2388ADD+See+7J9OnTs9dee+WII47I5z//+fTr16/YbTYSjgAAgILq2rVrjjzyyBx55JGp\nr6/Po48+mvvuuy8nnHBCevXqlSOOOCITJ04sdpseAgsAALSdioqKjBgxIqNGjcqRRx6ZP//5z7n6\n6quL3VYSK0cAAEAbeOedd/LQQw/l/vvvz4MPPpgk+dznPpdp06blkEMOKXJ37xOOAACAgnjttddy\n33335f7778/cuXPTt2/fjBw5MpdddlkOOOCAdOjQodgtNiEcAQAABXHYYYelY8eOqaqqyllnnZW9\n9tqrcWz+/PlNzq2qqmrr9jYjHAEAAAXR0NCQDRs2ZM6cOZkzZ84HnldWVpYXXnihDTvbMuEIAAAo\niBdffLHYLbSI3eoAAAAiHAEAACQRjgAAAJIIRwAAAEmEIwAAgCTCEQAAQBLhCAAAIIlwBAAAkEQ4\nAgAASCLAKEqUAAAgAElEQVQcAQAAJBGOAAAAkghHAAAASYQjAACAJMIRAABAEuEIAAAgiXAEAACQ\nRDgCAABIIhwBAAAkEY4AAACSCEcAAABJhCMAAIAkwhEAAEAS4QgAACCJcAQAAJBEOAIAAEgiHAEA\nACQRjgAAAJIkHYvdAMXXuXPnjB49uvHrZcuWFbEbAAAoDuGI3HLLLU2+/q9BaVvQoXOnwhdpaCh8\njSRlZWVtUme7bjsUvMbGuncKXiNJGjZsaJM6mzZuKniNhvcKXyNJenXv3CZ11qx9t+A11q3fWPAa\nSfLW6nVtUmenPl0KXuPNdW3zvbSVv6xfW/Aag3sPKHiNJHm7fn2b1Hnn3cL/2nxnQ+FrJEndhrb5\nPaBDeeE/n7tWVBa8RpKsaPhLm9Rpr1xWBwAAEOEIAAAgiXAEAACQRDgCAABIIhwBAAAkEY4AAACS\nCEcAAABJhCMAAIAkwhEAAEAS4QgAACCJcAQAAJBEOAIAAEgiHAEAACQRjgAAAJIIRwAAAEmEIwAA\ngCTCEQAAQBLhCAAAIIlwBAAAkEQ4AgAASCIcAQAAJBGOAAAAkghHAAAASYQjAACAJMIRAABAEuEI\nAAAgiXAEAACQRDgCAABIIhwBAAAkEY4AAACSCEcAAABJko7FbgAAAGh/pkyZ0uxzp02bVsBOms/K\nEQAAUFB1dXW54447smjRonTu3Dndu3fP0qVLU1NTk/LybSeSWDkCAAC2uv+6GnTGGWdk0qRJmTRp\nUpNzrrnmmjz66KNt3doH2nZiGgAA0C79/ve/z1FHHbXZ8cMPPzxPPvlkETraMuEIAAAoqAEDBmT2\n7NlNjjU0NGTWrFn5zGc+U6SuNueyOgAAoKDOOeecfPOb38zvfve7xjD03HPPZf369bnmmmuK3N1f\nCUcAAEBBHXjggfnd736XX//611m8eHGS5OSTT86RRx6Z7t27F7m7vxKOAACAguvRo0fGjBmTP//5\nzxk4cGA2bNiQrl27FrutJtxzBAAAFNS7776bc845J9XV1TnuuOOycuXKTJ48Od/4xjeyZs2aYrfX\nSDgCAAAKavr06Vm8eHHuuOOOVFZWJklOO+20vPnmm5k6dWqRu/sr4QgAACio3/3udznnnHOa7Ez3\nmc98Jj/60Y/y4IMPFrGzptxzxGY6d+6c0aNHF7uN1NTUFLsFAAC2gnfeeSedO3fe7PimTZvy3nvv\nFaGjLROO2Mwtt9xS7BYAAGhHRo4cmUsuuSQXXXRR47Ha2tpMnTo1hx56aBE7a8pldQAAQEH94Ac/\nSHl5eaqrq1NXV5exY8fmC1/4Qrp3755zzz232O01snIEAABsdcccc0yqq6tTVVWVqqqqzJgxI7W1\ntVm8eHE2btyYAQMGZODAgcVuswnhCAAA2Oo+//nPZ8GCBbnzzjuzdu3afPrTn05VVVVjYNppp52K\n3eJmhCMAAGCr+/a3v934z6+88koWLFiQp59+OldccUUWLVqUAQMGNIalL37xi0Xs9K+EIwAAoKAG\nDBiQAQMG5Oijj059fX2efPLJzJ49O3fccUduvvlm4QgAAGj/6uvrM2/evDz++ON5/PHH89xzz6Vb\nt2454IAD8t3vfjfV1dXFbrGRcAQAAGx1M2fOzOOPP54FCxaka9euOfDAA3PUUUflhz/8YT796U8X\nu70tEo4AAICtbubMmenbt2++853v5Mtf/vIWHwK7rRGOAACAre7iiy/OE088kZtuuikXX3xx9t13\n33z2s5/NZz/72QwfPjyVlZXFbnEzWyUcjRs3LnV1dVtjKlph2bJlxW4BAACaOOqoo3LUUUclSV57\n7bXGe46+//3vZ+XKldlvv/1SXV2d6urq/O3f/m2Ru33fVglHdXV1qamp2RpT0QqjR48udgsAAPCB\ndt5554wZMyZjxoxJkjz77LO55ZZb8otf/CI/+9nP8sILLxS5w/e5rA4AACiYurq6PPfcc1m4cGHj\na+XKlRk0aFBOOOGEHHjggcVusZFwBAAAbHXnnHNOFi5cmCVLlqRjx47Zb7/9UlVVlS9/+csZNmzY\nNrlBg3AEAABsdatXr86oUaNy4IEHZsiQIdluu+2K3dJHEo4AAICt7uc//3mxW2ix8mI3AAAAsC0Q\njgAAACIcAQAAJBGOAAAAkghHAAAASYQjAACAJMIRAABAEuEIAAAgiXAEAACQRDgCAABIIhwBAAAk\nEY4AAACSCEcAAABJhCMAAIAkwhEAAEAS4QgAACCJcAQAAJBEOAIAAEgiHAEAACQRjgAAAJIIRwAA\nAEmEIwAAgCTCEQAAQBLhCAAAIIlwBAAAkEQ4AgAASCIcAQAAJBGOAAAAkiQdi90AfJRN775b8Bqd\n+vYteI0k2fjO221SZ8PaNQWvUdaxbX776NC5S5vUqehaWfAaq19YUfAaSbLxvU1tUqdjx8L//dqn\ndu5a8BpJ23wvSbLx3fcKXmPfXXcueI0keXzpM21Sp+f2PQpe4+XXlxa8RpLsvmPb/Lupf29jwWvU\nbSj8Z3OS9Oq6fZvUeXNdXcFrvLZ2bcFrJEnfbt3bpE57ZeUIAABoV954441WvU84AgAASs7/+T//\nZ4vH77777hx55JGtmtNldQAAQMn513/913Ts2DGTJk1Kkrz++us5//zzc88992TMmDGtmlM4AgAA\nSs7VV1+df/qnf0rHjh2z66675oILLki3bt1y7bXX5uCDD27VnMIRAABQcg488MBce+21OeWUU/LO\nO+9kwoQJOe2009KpU6dWz+meIwAAoCS8+uqrTV59+vTJ1KlT07Fjx+ywww554403Gsdaw8oRAABQ\nEkaOHJmysrLNjjc0NOSnP/1pLrnkkjQ0NKSsrCwvvPBCi+cXjgAAgJLwb//2bwWdXzgCAABKQnV1\n9RaP19fXp6Ki4mPP754jAACgJN18880ZOXJkhg4dmtra2px33nm54oorWj2fcAQAAJScX/7yl/nJ\nT36SY445Jtttt12SZODAgfnZz36W6667rlVzCkcAAEDJue6663LOOefktNNOS3n5+7Hm61//en7w\ngx/klltuadWcwhEAAFByXnnllRx44IGbHf/sZz+b5cuXt2pO4QgAACg5vXr1yiuvvLLZ8aeeeip9\n+vRp1ZzCEQAAUHLGjRuXH/7wh7nvvvuSJEuWLMnNN9+cCy64IMcee2yr5rSVNwAAUHJOOeWUrF27\nNmeeeWbefffd/NM//VM6duyYE044Id/85jdbNadwBAAAlKQzzzwz3/rWt7Jo0aI0NDRkzz33TNeu\nXVs9n8vqAACAkrR+/fr89re/ze9+97v0798/zz//fN58881Wz2flCAAAKDmrV6/OuHHj8vrrr6e+\nvj5f/vKXc9111+XZZ5/Nv/7rv2bgwIEtntPKEQAAUHIuvPDCfPrTn86jjz6aysrKJMlFF12UT3/6\n05k+fXqr5hSOAACAkvPYY4/ln//5n9O5c+fGYzvssEPOOuuszJ8/v1VzCkcAAEDJeeedd7L99ttv\ncWzjxo2tmlM4AgAASk5VVVVuvvnmJsc2bNiQK6+8MsOHD2/VnDZkAAAASs5ZZ52VE088MU888UQ2\nbNiQ888/P0uWLMnatWtz4403tmpO4QgAACg5AwcOTE1NTW666ab06dMnmzZtyj/8wz/kq1/9aj71\nqU+1ak7hCAAAKAnXXXddDjnkkOy1115Jkj59+uSMM87YavMLRwAAQEmYMWNGpk+fnp49e+aggw7K\nQQcdlIMPPji9e/feKvMLRwAAQEmYO3dunnnmmcybNy9PPvlkfvzjH2ft2rX5m7/5mxxyyCE56KCD\nUl1d3fjco5YSjgAAgJLQsWPHDBs2LMOGDcvJJ5+choaG/OEPf8iTTz6ZJ598Muecc07eeuutHHDA\nAbn++utbPn8BegYAACi4srKy7LHHHnnjjTeyevXqrFu3LnPnzs1LL73UqvmEIwAAoKT84Q9/yMMP\nP5yHHnoo8+fPT5IMHTo0hxxySM4444wMHjy4VfMKRwAAQEk4++yz8/DDD2fVqlXZfffdc8ghh2T8\n+PGprq7O9ttv/7HnF44AAICS8B//8R/Zdddd88Mf/jBjxoxJRUXFVp2/fKvOBgAAUCDnnXdeBg0a\nlAsvvDDV1dX5xje+kV/84hd5+eWXt8r8Vo4AAICS8JWvfCVf+cpXsnHjxsyfPz+PPPJIampqctFF\nF6VPnz456KCDMmLEiBx00EHZcccdWzy/cAQAAJSUjh07prq6OtXV1flf/+t/5Y033sgjjzySxx57\nLOeee27Wr1+f5557ruXzFqBXAACAgnvrrbfy1FNPZf78+Xn66afz7LPPpqKiIiNHjmzVfMIRAABQ\nEpYsWdIYhubPn58//vGPqayszPDhwzNixIicddZZ2WeffVJWVtaq+YUjAACgIF599dXssssuKSsr\ny6uvvvqh5+66664fOd+XvvSldOjQIfvuu2++8IUv5KCDDsqwYcO22q51whEAAFAQI0eOzCOPPJKe\nPXtm5MiRW1zRaWhoSFlZWV544YWPnO+KK65IdXV1unbtWoh2hSMAAKAw7rvvvvTo0SNJUlNTky5d\nunys+Vp7L1FzCUcAAEBB9OvXr/Gfv/nNb2bmzJkZPHhwETv6cMJROzVu3LjU1dUVu42Ppaamptgt\nAACwlZSXl2fDhg3FbuNDCUftVF1dnXABAMA243Of+1wmTJiQww47LP369dtsE4VJkyZ95Bw33nhj\njjnmmI99ed4HEY4AAICC+8Mf/pB99tknK1euzMqVK5uMNXfr7enTp+fwww9Ply5dMmjQoDzyyCON\n9zRtDcIRAABQECeeeGKuvPLKdO/ePTfccEOSZP369enUqVOr5uvZs2fOPffcDB06NA0NDbnmmmuy\n/fbbb/Hc5qxE/XfCEQAAUBDz5s3b7D6jgw46KHfddVd22223Fs933nnn5dJLL80dd9yRsrKy/OpX\nv0p5eflm55WVlQlHAADAtq2hoaHV7z300ENz6KGHJkn23nvvzJ49Oz179txarQlHAABA6XnxxReT\nJG+//XaWLFmS7bbbLrvtttvHekCscAQAAJSchoaGXHjhhbnpppuycePGNDQ0pKKiIuPGjcvZZ5/d\n7E0e/ivhCAAAKJhf//rXTVZzNm3alHvuuWezXeaOPvroFs37s5/9LLNnz86//Mu/pLq6Ops2bcrc\nuXNz+eWXp2/fvjn55JNb3KtwBAAAFMSuu+6a6667rsmxnj175sYbb2xyrKysrMXh6Lbbbst5552X\nUaNGNR4bPHhwevTokRkzZghHAADAtuP+++8v2Nyvv/569t9//82O77///lm+fHmr5tx83zsAAIBt\n3B577JE5c+ZsdvyRRx5Jv379WjWnlSMAAKDkTJgwIT/4wQ9SW1ub4cOHJ3n/uUqzZs3K9773vVbN\nKRwBAAAl5+ijj85bb72Va665Jtdee22SpFevXjnjjDNy4okntmpO4QgAAChJ48ePz/jx4/PGG2+k\noaHhYz8QVjgCAABK2n/fFry1bMgAAAAQ4QgAACCJcAQAAJBEOAIAAErQ8ccfn3//93/P2rVrt9qc\nwhEAAFBy/sf/+B/52c9+lkMOOSRnnnlmHn744TQ0NHysOYUjAACg5HznO9/J//t//y9XXHFFOnTo\nkNNOOy2f+9zncskll+SVV15p1Zy28gYAAEpSWVlZDj744Bx88MGpq6vLDTfckCuuuCJXXXVVhg8f\nnn/8x3/MF77whWbPJxwBAAAla+XKlampqUlNTU1eeumlDB8+PMccc0xee+21fP/738/cuXNzzjnn\nNGsu4QgAACg5d911V+666648/vjj6dGjR44++uhcdtll2WOPPRrP2WWXXXLBBRcIRwAAQPt1zjnn\n5LDDDsvll1+ev/u7v0t5+ebbKey555456aSTmj2ncAQAAJScBx98MD169PjQc4YPH57hw4c3e07h\nCAAAKDk9evTIiy++mJdeeimbNm1KkjQ0NKS+vj7PPPNMpk6d2uI5hSMAAKDkXH/99bnooouSvL9r\n3X8+46isrCwHHnhgq+b0nCMAAKDkzJo1K6ecckoWLFiQnXbaKQ888EDuuuuuDBw4MIcffnir5hSO\nAACAkvPaa6/l+OOPT2VlZfbee+8888wz+cxnPpPJkyfn9ttvb9WcwhEAAFBytt9++7z33ntJkv79\n+2fRokVJkoEDB2bZsmWtmlM4AgAASs7w4cNz1VVXpa6uLoMHD87999+fTZs2Zd68eenSpUur5hSO\nAACAknPmmWfmoYceyqxZs3LkkUdm9erVqa6uzllnnZVjjz22VXParQ4AACg5e+21V+69996sW7cu\nXbp0ya233pr/+3//b3beeed88YtfbNWcwhEAAFCSGhoasnHjxtTV1aVXr14ZP378x5pPOAIAAErG\n22+/nWuvvTZ33313amtrG4/vvvvuGT16dCZMmJDOnTu3am7hCAAAKAlvvvlmTjrppCxfvjyf//zn\nM27cuHTv3j1r167Nc889l6uuuiq//vWvc9NNN6Vbt24tnl84AgAASsKll16aTZs25e67784uu+yy\n2fhrr72WU045Jdddd11OP/30Fs9vtzoAAKAkPPDAA/ne9763xWCUJDvvvHNOP/30/OpXv2rV/MIR\nAABQElavXp299trrQ8/Ze++98+qrr7ZqfuEIAAAoCRs2bEinTp0+9JxOnTpl48aNrZpfOAIAAIgN\nGQAAgBJy3XXXfehW3evWrWv13MJRO9C5c+eMHj26ybFly5YVqRsAACiMXXfdNb/+9a8/8rwP2rDh\nowhH7cAtt9yy2bH/Hpb4cA2b3muTOh1a+UCyliqvqCx4jQ1r3ip4jSTp1GfnNqlTVl74q4x7DOxZ\n8BpJkseWtkmZ7l0rCl6jsrJDwWu0pR127VrwGmvX1xe8RpLs2aN/m9R5de3KgtfoXtnyZ6G0RkND\nQ5vUeXP92wWv0bfLjgWvkSTL16xtkzob2uDPAbvttEPBayRt93tAsdx///0Fnd89RwAAABGOAAAA\nkghHAAAASYQjAACAJMIRAABAEuEIAAAgiXAEAACQRDgCAABIIhwBAAAkEY4AAACSCEcAAABJhCMA\nAIAkwhEAAEAS4QgAACCJcAQAAJBEOAIAAEgiHAEAACQRjgAAAJIIRwAAAEmEIwAAgCTCEQAA/397\ndx5eVX3ncfx92SNBkACposhiJSxCIoIyhcKkjqCyiQsWi4qjjIwat9YaFFkVBHEBO+igIAhVChYF\npo4Ijix1BRFQoQrBEDFQsBJIoATImT98iIQkoMm5uYrv1/PwaM5Nft/vWe4595OzRBJgOJIkSZIk\nwHAkSZIkSYDhSJIkSZIAw5EkSZIkAYYjSZIkSQIMR5IkSZIEGI4kSZIkCTAcSZIkSRJgOJIkSZIk\nwHAkSZIkSYDhSJIkSZIAw5EkSZIkAYYjSZIkSQKgSqwbkCRJknRiS0pKIhKJlPr6+vXrK7Cb0hmO\nJEmSJEXVjBkzinx96NAhtmzZwrRp07jjjjti1FVxhiNJkiRJUdWhQ4di0zp27Ejjxo0ZM2YM3bt3\nj0FXxXnPkSRJkqSYqFu3LhkZGbFuo5BnjiRJkiRF1csvv1xsWl5eHnPnziU5OTkGHZXMcCRJkiQp\nqiZOnFjk60gkQtWqVTnnnHO850iSJEnST8cbb7wR6xa+E8ORJEmSpKjLzc0lIyOD/Px8giAo8lr7\n9u1j1FVRhqMTVFxcHL169Yp1G+Uyf/78WLcgSZKkECxcuJAhQ4aQn59f7LVIJOLfOVJ0zZ49O9Yt\nSJIkSQBMmDCB3/zmN/znf/4n8fHxsW6nVD7KW5IkSVJUff311/Tv3/8HHYzAcCRJkiQpylJTU3n9\n9ddj3cZxeVmdJEmSpNClp6cX/v+BAwcYN24cixYtolGjRlSqVPQczZgxYyq6vRJ55kiSJElS6N59\n993CBzDEx8fTp08fGjduXCwY/ZB45kiSJElS6LKzs5kzZw4JCQmxbuU7++HGNkmSJEk/Wkf/LaMf\nA8ORJEmSpKiIRCKxbuF78bI6SZIkSVFx+eWXf6d7jJYsWVIB3Ryf4UiSJElSVAwcOJBatWrFuo3v\nzHAkSZIkKXSRSIRLL73UBzJIkiRJ+mnzgQySJEmSBFx22WVUr1491m18L15WJ0mSJCl0Y8aMiXUL\n35tnjiRJkiQJw5EkSZIkAYYjSZIkSQIMR5IkSZIEGI4kSZIkCTAcSZIkSRJgOJIkSZIkwHAkSZIk\nSYDhSJIkSZIAw5EkSZIkAYYjSZIkSQIMR5IkSZIEGI4kSZIkCTAcSZIkSRJgOJIkSZIkwHAkSZIk\nSYDhSJIkSZIAw5EkSZIkAYYjSZIkSQIMR5IkSZIEGI4kSZIkCTAcSZIkSRJgOJIkSZIkwHAkSZIk\nSYDhSJIkSZIAw5EkSZIkAYYjSZIkSQIMR5IkSZIEGI4kSZIkCTAcSZIkSRIAVWLdgHQ8uVt2RL1G\nlVq1ol4DYP+OryqkTo3EelGvcWjfP6NeAyAvK7NC6tQ8s0HUa2xdtiHqNSrSoUNB1Gs0STk16jUA\nNq/OrpA6u7fnRb1G314to14DYPusPRVS5xeNfx71Grn790e9BkBBEP33DEC9/Ogf02rXqBH1GgCt\nGkf/eAaQsyf628CO3XujXgPgpGpVK6TOicozR5IkSZKE4UiSJEmSAMORJEmSJAGGI0mSJEkCDEeS\nJEmSBBiOJEmSJAkwHEmSJEkSYDiSJEmSJMBwJEmSJEmA4UiSJEmSAMORJEmSJAGGI0mSJEkCDEeS\nJEmSBBiOJEmSJAkwHEmSJEkSYDiSJEmSJMBwJEmSJEmA4UiSJEmSAMORJEmSJAGGI0mSJEkCDEeS\nJEmSBBiOJEmSJAkwHEmSJEkSYDiSJEmSJMBwJEmSJEmA4UiSJEmSAMORJEmSJAGGI0mSJEkCDEeS\nJEmSBBiOJEmSJAkwHEmSJEkSYDiSJEmSJMBwJEmSJEmA4UiSJEmSAMORJEmSpChLT08nNze32PSc\nnBzS0tJi0FHJqsS6AUmSJEknntWrV5OZmQnAyy+/TKtWrYiPjy/yPRkZGaxYsSIW7ZXIcCRJkiQp\ndHFxcUyaNIkgCAiCgGeeeYZKlb69cC0SiXDSSSfx29/+NoZdFmU4kiRJkhS6pKQklixZAsCAAQN4\n8sknqV27doy7OjbvOZIkSZIUVc8//3yJwSg/P581a9bEoKOSeeZIkiRJUlStXr2a4cOHs3HjRgoK\nCoq8VrlyZT766KMYdVaUZ44kSZIkRdWoUaNo2LAhTz31VOG9SPfffz916tRh3LhxsW6vkGeOJEmS\nJEXVZ599xvjx42nWrBmtWrWiatWqXHPNNSQkJDBlyhQuueSSWLcIGI4qTL9+/di3b1+s2/hRmT9/\nfqxbkCRJUgji4uKoXLkyAE2bNuVvf/sbXbp0oU2bNmzevDnG3X3LcFRB9u3b54d9SZIk/SRdcMEF\nTJgwgfvvv5+UlBSee+45rrrqKt544w1OPvnkWLdXyHuOJEmSJEXVfffdR05ODosWLeLSSy+lVq1a\ndOzYkTFjxnDLLbfEur1CnjmSJEmSFDU7d+6kXr16zJgxA4BPPvmELl260L17dy688EISExNj3OG3\nPHMkSZIkKXR5eXncfPPNdO7cmc8//xyAefPmccUVVzBr1ixmzpxJ//792bZtW2wbPYLhSJIkSVLo\nJk2axNatW5k1axZNmzZl7969jB49mjZt2rBo0SJeffVVOnXqxCOPPBLrVgsZjiRJkiSFbtGiRdx3\n332ce+65RCIRVqxYQV5eHgMGDKBq1aoA9O3blxUrVsS4028ZjiRJkiSFbseOHTRq1Kjw67feeovK\nlSvTqVOnwmn16tX7Qf25G8ORJEmSpNAlJiaSlZUFQBAELF26lLZt21K7du3C71m9ejWnnnpqrFos\nxnAkSZIkKXS9e/fmwQcfZMmSJTz00ENkZ2fTv3//wtc3bNjAo48+Svfu3WPYZVE+yluSJElS6AYP\nHkxubi5DhgwhEomQlpZGjx49AHj44YeZNm0aXbt2ZfDgwTHu9FuGI0mSJEmhq1KlCunp6aSnpxd7\nrU+fPvTs2ZOWLVvGoLPSGY4kSZIkVajmzZvHuoUSec+RJEmSJGE4kiRJkiTAcCRJkiRJgOFIkiRJ\nkgDDkSRJkiQBhiNJkiRJAgxHkiRJkgQYjiRJkiQJMBxJkiRJEmA4kiRJkiTAcCRJkiRJgOFIkiRJ\nkgDDkSRJkiQBhiNJkiRJAgxHkiRJkgQYjiRJkiQJMBxJkiRJEmA4kiRJkiTAcCRJkiRJgOFIkiRJ\nkgDDkSRJkiQBhiNJkiRJAgxHkiRJkgQYjiRJkiQJMBxJkiRJEmA4kiRJkiTAcCRJkiRJgOFIkiRJ\nkgDDkSRJkiQBhiNJkiRJAgxHkiRJkgRAlTAGiYuLo1evXmEMdcLaunVrrFuQJEmSdAyhhKPZs2eH\nMcwJzfBYdkFBEP0ahw5GvQZAEER/XgAKDhyIfo386NcAiFQNZTd1XIf27Y96jXotfhb1GgDxa/5e\nIXXqJ9aMeo2CCnj/AzRoVLtC6lSPrxb1Gnn/2Bf1GgC/OLtRhdTJya2A9+bJcVGvAbBtV26F1Dn7\n1ISo16io41m1qpUrpM7J8dWjXiMSiUS9BlTcMjtReVmdJEmSJGE4kiRJkiTAcCRJkiRJgOFIkiRJ\nkgDDkSRJkiQBhiNJkiRJAgxHkiRJkgQYjiRJkiQJMBxJkiRJEmA4kiRJkiTAcCRJkiRJgOFIkiRJ\nkgDDkSRJkiQBhiNJkiRJAgxHkiRJkgQYjiRJkiQJMBxJkiRJEmA4kiRJkiTAcCRJkiRJgOFIkiRJ\nkgDDkSRJkiQBhiNJkiRJAgxHkiRJkgQYjiRJkiQJMBxJkiRJEmA4kiRJkiTAcCRJkiRJgOFIkiRJ\nkgDDkSRJkiQBhiNJkiRJAgxHkiRJkgQYjiRJkiQJMBxJkiRJEgBVYt2AJEmSpBPb7t27mTp1KuvW\nrfpowp0AABoSSURBVOPgwYMEQVDk9RkzZsSos6IMR5IkSZKi6p577mHdunX07NmT+Pj4WLdTKsOR\nJEmSpKh66623mDlzJm3atIl1K8fkPUeSJEmSoioxMZFKlX740cMzR5IkSZKi6p577mH48OGkpaVx\n5plnUrVq1SKvn3baaTHqrCjDkSRJkqSouu222wAYNGgQkUikcHoQBEQiEdavXx+r1oowHEmSJEmK\nqiVLlsS6he/EcCRJkiQpqho2bBjrFr4Tw5EkSZKkqEpKSipyOd3RvKzuJyYuLo5evXrFuo0flfnz\n58e6BUmSJIXg6D/yeujQIbZs2cK0adO44447YtRVcYajCjJ79uxYtyBJkiTFRIcOHYpN69ixI40b\nN2bMmDF07949Bl0V98N/2LgkSZKkE1LdunXJyMiIdRuFPHMkSZIkKapefvnlYtPy8vKYO3cuycnJ\nMeioZIYjSZIkSVE1ceLEIl9HIhGqVq3KOeec4z1HkiRJkn4adu7cyaJFi6hS5Zvo8fHHH/POO++Q\nkJDARRddxEknnRTjDr/lPUeSJEmSQpeXl8fNN99M586dyczMBGDevHlceeWVzJo1i6effpqePXuy\nbdu2GHf6LcORJEmSpNBNmjSJrVu3MmvWLJo2bcrevXsZPXo0bdq04bXXXuPVV1+lU6dOPPLII7Fu\ntZDhSJIkSVLoFi1axH333ce5555LJBJhxYoV5OXlMWDAAKpWrQpA3759WbFiRYw7/ZbhSJIkSVLo\nduzYQaNGjQq/fuutt6hcuTKdOnUqnFavXj327dsXi/ZKZDiSJEmSFLrExESysrIACIKApUuX0rZt\nW2rXrl34PatXr+bUU0+NVYvFGI4kSZIkha537948+OCDLFmyhIceeojs7Gz69+9f+PqGDRt49NFH\n6d69ewy7LMpHeUuSJEkK3eDBg8nNzWXIkCFEIhHS0tLo0aMHAA8//DDTpk2ja9euDB48OMadfstw\nJEmSJCl0VapUIT09nfT09GKv9enTh549e9KyZcsYdFY6w5EkSZKkCtW8efNYt1Ai7zmSJEmSJAxH\nkiRJkgQYjiRJkiQJMBxJkiRJEmA4kiRJkiTAcCRJkiRJgOFIkiRJkgDDkSRJkiQBhiNJkiRJAgxH\nkiRJkgQYjiRJkiQJMBxJkiRJEmA4kiRJkiTAcCRJkiRJgOFIkiRJkgDDkSRJkiQBhiNJkiRJAgxH\nkiRJkgQYjiRJkiQJMBxJkiRJEmA4kiRJkiTAcCRJkiRJgOFIkiRJkgDDkSRJkiQBhiNJkiRJAgxH\nkiRJkgQYjiRJkiQJMBxJkiRJEmA4kiRJkiQAIkEQBLFuQpIkSZJizTNHkiRJkoThSJIkSZIAw5Ek\nSZIkAYYjSZIkSQIMR5IkSZIEGI4kSZIkCTAcSZIkSRJgOJIkSZIkwHAkSZIkSYDhSJIkSZIAw5FO\nMPn5+QwZMoT27dvTuXNnpk2bFnqNxYsXk5SURIsWLQr/e/vtt4de57D8/Hx69uzJ+++/H7UaAIMG\nDSI9PT0qY2/fvp20tDTOP/98unTpwtixY8nPzw+9zpYtW/j3f/93UlJSSE1N5dlnnw29BnyzTkaM\nGEGHDh3o1KkTjz32WLnHPNYyWr58Ob1796Zt27b06dOHZcuWlbteSdvVRx99xNVXX01KSgpXX301\na9asicr8fPHFFwwcOJCUlBR69OjBX//613LPz7x584q9L5OSkmjZsmW5x/4u229mZiZt27aNWp0P\nP/ywcN1cfPHFzJkzp1y1Dtu2bRs333wz7dq141e/+hXTp08PZdzDStrOsrOzuemmm0hOTqZbt268\n+uqroddJT08vsh0c/nf99deHVgNg9OjRxba7WbNmhTovEJ31X1KdsPc1xzp+5ebm8stf/pKXX365\nXDWO9I9//IO0tDTat29Pt27dmDdvXmhjQ8nzE/b+7FjLLCMjg5SUlHKNf6w6K1eupG/fvqSkpHDZ\nZZfx9ttvh1LrRyeQTiAjR44MevfuHaxfvz54/fXXg3PPPTd47bXXQq0xefLkYPDgwcFXX30V7Ny5\nM9i5c2ewZ8+eUGsctn///uCWW24JkpKSgvfeey8qNYIgCBYuXBg0b948uPfee6My/lVXXRUMGjQo\n2LhxY7By5crgoosuCsaNGxdqjYKCgqBbt27BPffcE2RmZgZLly4N2rVrFyxcuDDUOkEQBEOHDg26\ndesWrFu3Lnj77beDCy64IJg9e3a5xixtGWVmZgZt27YNpk+fHmRlZQXTpk0LWrduHWzdurXMtUra\nrr766qvgvPPOCx544IEgIyMjmDZtWpCSkhJkZ2eHOj9BEAQ9e/YM7rnnnmDTpk3B008/HSQnJ5e5\nzpHzdPj9uHPnziA7Ozu46KKLgrFjx5Zr3OPNSxA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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c49f518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.clustermap(day_hour)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And this concludes the exploratory analysis project."
   ]
  }
 ],
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