Copy_of_review_3_traffic_accidents.ipynb

{
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   "cell_type": "markdown",
   "metadata": {
    "_uuid": "71fd8080c77935a0e21d4944691108b4280ed8f6",
    "id": "pQtjV9gBclf5"
   },
   "source": [
    "# Road Accident Prediction And Classification\n",
    "###### Abdul Wahed and Abrar Hashmi        \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "4f3c71060eb916343706bb2d8a500ba979e331dc",
    "id": "QXkwGkPpclgA"
   },
   "source": [
    "### Introduction\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "28c6e782278d576238ac2fd5fbddfc88adc61796",
    "id": "QYAPTo0_clgB"
   },
   "source": [
    "## Importing Data and cleaning\n",
    "- We import three files to perform analysis on this data. This data is consist of three files that are accidents, casualities and vehicles. However, we have one more file which is general information about the traffic count for year 2000 to 2015. We can use general traffic information data for machine learning part."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "_uuid": "43f2cbb55a0f5e95b02c7ee99d9e416f83836dfd",
    "id": "Xax8fgegclgC"
   },
   "outputs": [],
   "source": [
    "import datetime as dt\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "#from mpl_toolkits.basemap import Basemap\n",
    "from sklearn.model_selection import TimeSeriesSplit\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "plt.style.use('ggplot')\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "uf5lcvYXddy6",
    "outputId": "bd1f614a-8338-4673-f960-b87782be7145"
   },
   "outputs": [],
   "source": [
    "# from google.colab import drive\n",
    "# drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "_uuid": "0b93ca1a20c07af055065343e30fb64c37dcadd1",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "wXJtlQeAclgF",
    "outputId": "ed34141e-3af4-4198-b032-102b358ce8d2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded\n"
     ]
    }
   ],
   "source": [
    "accidents = pd.read_csv(r'Accidents.csv',index_col='Accident_Index')\n",
    "vehicles= pd.read_csv(r'Vehicles.csv', error_bad_lines=False,index_col='Accident_Index',warn_bad_lines=False)\n",
    "casualties = pd.read_csv(r'Casualties.csv', error_bad_lines=False, index_col='Accident_Index', warn_bad_lines=False)\n",
    "print('Loaded')\n",
    "\n",
    "# accidents=accidents.head(200000)\n",
    "\n",
    "# vehicles=vehicles.head(200000)\n",
    "\n",
    "# casualties=casualties.head(200000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "_uuid": "d7ceba9967f9674832cb2d88396be5477b718ec4",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 348
    },
    "id": "FMn3uiRBclgH",
    "outputId": "958334e1-f9f5-4bf4-b292-15db05c51f4f"
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Location_Easting_OSGR</th>\n",
       "      <th>Location_Northing_OSGR</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Police_Force</th>\n",
       "      <th>Accident_Severity</th>\n",
       "      <th>Number_of_Vehicles</th>\n",
       "      <th>Number_of_Casualties</th>\n",
       "      <th>Date</th>\n",
       "      <th>Day_of_Week</th>\n",
       "      <th>...</th>\n",
       "      <th>Pedestrian_Crossing-Human_Control</th>\n",
       "      <th>Pedestrian_Crossing-Physical_Facilities</th>\n",
       "      <th>Light_Conditions</th>\n",
       "      <th>Weather_Conditions</th>\n",
       "      <th>Road_Surface_Conditions</th>\n",
       "      <th>Special_Conditions_at_Site</th>\n",
       "      <th>Carriageway_Hazards</th>\n",
       "      <th>Urban_or_Rural_Area</th>\n",
       "      <th>Did_Police_Officer_Attend_Scene_of_Accident</th>\n",
       "      <th>LSOA_of_Accident_Location</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Accident_Index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>200501BS00001</th>\n",
       "      <td>525680</td>\n",
       "      <td>178240</td>\n",
       "      <td>-0.191170</td>\n",
       "      <td>51.489096</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>04/01/2005</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>E01002849</td>\n",
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       "    <tr>\n",
       "      <th>200501BS00002</th>\n",
       "      <td>524170</td>\n",
       "      <td>181650</td>\n",
       "      <td>-0.211708</td>\n",
       "      <td>51.520075</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>05/01/2005</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>E01002909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200501BS00003</th>\n",
       "      <td>524520</td>\n",
       "      <td>182240</td>\n",
       "      <td>-0.206458</td>\n",
       "      <td>51.525301</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>06/01/2005</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>E01002857</td>\n",
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       "    <tr>\n",
       "      <th>200501BS00004</th>\n",
       "      <td>526900</td>\n",
       "      <td>177530</td>\n",
       "      <td>-0.173862</td>\n",
       "      <td>51.482442</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>07/01/2005</td>\n",
       "      <td>6</td>\n",
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       "      <td>1</td>\n",
       "      <td>E01002840</td>\n",
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       "    <tr>\n",
       "      <th>200501BS00005</th>\n",
       "      <td>528060</td>\n",
       "      <td>179040</td>\n",
       "      <td>-0.156618</td>\n",
       "      <td>51.495752</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10/01/2005</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>E01002863</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Location_Easting_OSGR  Location_Northing_OSGR  Longitude  \\\n",
       "Accident_Index                                                             \n",
       "200501BS00001                  525680                  178240  -0.191170   \n",
       "200501BS00002                  524170                  181650  -0.211708   \n",
       "200501BS00003                  524520                  182240  -0.206458   \n",
       "200501BS00004                  526900                  177530  -0.173862   \n",
       "200501BS00005                  528060                  179040  -0.156618   \n",
       "\n",
       "                 Latitude  Police_Force  Accident_Severity  \\\n",
       "Accident_Index                                               \n",
       "200501BS00001   51.489096             1                  2   \n",
       "200501BS00002   51.520075             1                  3   \n",
       "200501BS00003   51.525301             1                  3   \n",
       "200501BS00004   51.482442             1                  3   \n",
       "200501BS00005   51.495752             1                  3   \n",
       "\n",
       "                Number_of_Vehicles  Number_of_Casualties        Date  \\\n",
       "Accident_Index                                                         \n",
       "200501BS00001                    1                     1  04/01/2005   \n",
       "200501BS00002                    1                     1  05/01/2005   \n",
       "200501BS00003                    2                     1  06/01/2005   \n",
       "200501BS00004                    1                     1  07/01/2005   \n",
       "200501BS00005                    1                     1  10/01/2005   \n",
       "\n",
       "                Day_of_Week  ... Pedestrian_Crossing-Human_Control  \\\n",
       "Accident_Index               ...                                     \n",
       "200501BS00001             3  ...                                 0   \n",
       "200501BS00002             4  ...                                 0   \n",
       "200501BS00003             5  ...                                 0   \n",
       "200501BS00004             6  ...                                 0   \n",
       "200501BS00005             2  ...                                 0   \n",
       "\n",
       "                Pedestrian_Crossing-Physical_Facilities Light_Conditions  \\\n",
       "Accident_Index                                                             \n",
       "200501BS00001                                         1                1   \n",
       "200501BS00002                                         5                4   \n",
       "200501BS00003                                         0                4   \n",
       "200501BS00004                                         0                1   \n",
       "200501BS00005                                         0                7   \n",
       "\n",
       "                Weather_Conditions  Road_Surface_Conditions  \\\n",
       "Accident_Index                                                \n",
       "200501BS00001                    2                        2   \n",
       "200501BS00002                    1                        1   \n",
       "200501BS00003                    1                        1   \n",
       "200501BS00004                    1                        1   \n",
       "200501BS00005                    1                        2   \n",
       "\n",
       "                Special_Conditions_at_Site  Carriageway_Hazards  \\\n",
       "Accident_Index                                                    \n",
       "200501BS00001                            0                    0   \n",
       "200501BS00002                            0                    0   \n",
       "200501BS00003                            0                    0   \n",
       "200501BS00004                            0                    0   \n",
       "200501BS00005                            0                    0   \n",
       "\n",
       "                Urban_or_Rural_Area  \\\n",
       "Accident_Index                        \n",
       "200501BS00001                     1   \n",
       "200501BS00002                     1   \n",
       "200501BS00003                     1   \n",
       "200501BS00004                     1   \n",
       "200501BS00005                     1   \n",
       "\n",
       "                Did_Police_Officer_Attend_Scene_of_Accident  \\\n",
       "Accident_Index                                                \n",
       "200501BS00001                                             1   \n",
       "200501BS00002                                             1   \n",
       "200501BS00003                                             1   \n",
       "200501BS00004                                             1   \n",
       "200501BS00005                                             1   \n",
       "\n",
       "                LSOA_of_Accident_Location  \n",
       "Accident_Index                             \n",
       "200501BS00001                   E01002849  \n",
       "200501BS00002                   E01002909  \n",
       "200501BS00003                   E01002857  \n",
       "200501BS00004                   E01002840  \n",
       "200501BS00005                   E01002863  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accidents.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "_uuid": "06b5266e977f07acd3ad0018bd698fce03a17cda",
    "id": "gkDWek-1clgH"
   },
   "outputs": [],
   "source": [
    "accidents = accidents.join(vehicles, how='outer')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "033c3bd61ac666e3fc87316f2642aff6dcab1719",
    "id": "TNSGXK7uclgI"
   },
   "source": [
    "## Identifying Missing Values\n",
    "\n",
    "In this particular dataset, there are two types of missing values '-1' and 'Nan'. We will invesitigate each column with total missing values.\n",
    "We will not be imputing any mean or median value since the dataset is big enough to perform analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "_uuid": "292691d5d1b20bf1664cb13dbda2c982f5563590",
    "id": "KwQAXxYhclgJ"
   },
   "outputs": [],
   "source": [
    "accidents.drop(['Location_Easting_OSGR', 'Location_Northing_OSGR','LSOA_of_Accident_Location',\n",
    "                'Junction_Control' ,'2nd_Road_Class'], axis=1, inplace=True)\n",
    "accidents['Date_time'] =  accidents['Date'] +' '+ accidents['Time']\n",
    "\n",
    "for col in accidents.columns:\n",
    "    accidents = (accidents[accidents[col]!=-1])\n",
    "    #print(col ,' ' , x)\n",
    "for col in casualties.columns:\n",
    "    casualties = (casualties[casualties[col]!=-1])\n",
    "\n",
    "    accidents['Date_time'] = pd.to_datetime(accidents.Date_time)\n",
    "accidents.drop(['Date','Time'],axis =1 , inplace=True)\n",
    "accidents.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "c010b516516f74ec01f0347bee12c2dfe11f8edd",
    "id": "r0XRnY43clgL"
   },
   "source": [
    "Our dataset is clean to do some analysis. We would be using very few columns to do analysis since the dataset is fairly large."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "190d4df6e3bfef24aab5176a410ae1890ef95108",
    "id": "57sL35l-clgM"
   },
   "source": [
    "# Data Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "9f62ed3d0e6aeb5dd14df572d477357978c58da2",
    "id": "2W6IWi-cclgN"
   },
   "source": [
    "#### The first thing we can do is to find out about accidents time to get intution and some driver's age who are involved in the accident.\n",
    "- We can find out the number of accidents on the days of a week.\n",
    "- We can find out about the accidents number using hours of the day.\n",
    "- Finding out about the age of driver can tell us more about the accidents."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "_uuid": "210383c1cf401845104e000c33815343ed939d91",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 602
    },
    "id": "aHdpKGddclgN",
    "outputId": "40221592-cf8c-4df2-c1c4-f7d00a3114f1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, '0 - Sunday ,  1 - Monday  ,2 - Tuesday , 3 - Wednesday , 4 - Thursday , 5 - Friday , 6 - Saturday')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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0y8zM1KpVq7R//35lZGTI3d1dffr00f/8z//o2muvrfT3UlhYqMOHD2vv3r2KiYlRcnKyioqK5OHhoa5duyooKMji/mLnzp1699135eDgoPfee6/Shd1DQkL0/vvvV+u5qL7L99Px8fFav369jhw5ooyMDHXs2FFvvPGGpOot2Mh+07rffvtNUlng27Vr13r7uVfClFNIUrNmzWr8PllZWQoPD9f+/ft14sQJZWRkyMHBQd7e3urTp48mTJhgcb9i2seZfPjhhxUWIS2/L63O3NiX9/HyLr+WTE5O1rp16xQREaG0tDQ1adJEX375pfH8vLw8/fjjjwoNDdWFCxfUrFkzdevWTbfffnuVQX5xcbGioqK0b98+RUVFKTExUYWFhWrevLm6dOmiUaNG6frrr69wjhcTE6NZs2YZv5/Kriuio6P18ssvV+u5f3SE17CpkydPSpK6d+9u9TndunWTo6OjSkpKdPLkSZuE16aT27Nnzyo9PV3e3t713oby8vLyNGfOHMXFxZk9fvjwYR0+fFiPPvqobrzxRouvNZ0slHfu3DmtXLlSYWFhuuuuuyr92TNmzKgwRUZRUZHOnTunc+fOadu2bfrnP/+pwYMHmz0nKChIEREROnr0qJKTk62ewF64cEGHDx+WJI0ZM6bStqB6nJycNHLkSG3atEnbt2+vEF5HREQoMzPTOFmtKrxOSUnR/Pnzdf78ebPHU1NTtXPnTu3cuVMTJ07UfffdV+n7nDp1yphL3iQzM1O7du3SgQMHNGfOHIsnikVFRXr77bcrXGzHxsYqNjZWhw4dqnT0Q3x8vHHRWF5ubq7i4uIUFxenrVu3atasWWbv4+Liouuuu85YSHbKlClWq9V2796tvLw8OTg42GU/Nv3Oa3NDrqE6e/asFi1aVGF+1/T0dIWFhSksLMxq/129erUxNLO8lJQUpaSkKCoqSrm5uXrwwQfNtl+8eFHz58835jiW/hscHD58WJMmTaq0zfv27TMuRMvLyclRVFSUoqKitG3bNs2aNUseHh7G9pYtW6pfv346cOCAgoODKw2kQ0JCVFpaKldXVw0fPrzS9tS3wsJC4/verVs3m7WjfIV0dHS01fC6d+/e8vLyUps2bZSUlKT4+PgK+zLT3NiWqq43btyor7/+usKiS2fPntXZs2e1detWzZw50+JNwtr2tfIiIyP15ptvGtObSGX7+a1bt+rAgQN67bXXKvwOavsZ8vLyNG/ePB0/ftzs8ezsbGVnZ+vcuXPavXu3unXrVqHo4fDhw1q8eLHZ1G0XLlzQ1q1bFRYWppdeeqnSz/v+++9r7969FR5PTU1VaGioQkNDNXnyZN1zzz1m28eMGaPvv/9e+fn52r17d6X7fNMop+HDh9ssuI6Ojtbvv/8uT0/PCp+lsQkJCdFHH31k1g+TkpK0fv16HThwQPPnz69V2FMdP//8s7788kuVlpZW2FZcXKzXX3+9wiio3Nxc5ebmKiEhQeHh4WrVqlWFIPn06dOaN2+esrKyjMfS09O1a9cu7d27V//85z8rbde3336rjRs3Vng8PT1d+/fv1/79+zV69Gg9+eSTZuc6Q4cOVfPmzZWbm2ucC1kTHBwsSfLz87OL4LqoqKjRzRsdFham9957T5cuXarR69lvWpeRkaFTp05JUoXrWnvqS+Vvwh06dKjGC1u/9tprio+Pr/B4UlKSkpKSFBISoocfflg33XRTTZta56Kjo7Vo0SJdvHjReKx8kUNaWppeeeUVJSYmGo9lZmYqPDxcBw4c0F/+8pdK33/Tpk1mQbhJVlaWIiMjFRkZqe3bt2vmzJlmBSQ9e/ZUx44ddfbsWW3btq3SQHrbtm2SymYcYCRe5ezjG4c/pLS0NOOCqLIh7k2aNJG3t7dSU1N17ty5+mqemYCAAKNKeeHChZo+fboCAwPl5ORkk/Z8+eWXys7O1gMPPKAhQ4bIzc1NcXFx+vzzz5WUlKSlS5dqyJAh8vT0NHtdeHi4EVx36tRJ9957r7p3766LFy9qx44dWr16daWLmkhS27ZtFRAQoMDAQLVs2VKenp7KycnRqVOnjGru9957T2+//bZZVdbQoUPVokULZWdnV3qya88BSkM2evRobdq0Sbt379Zf/vIXswOsaaHG6667rsrFRkzfgfPnz8vZ2VmTJk3SqFGj5O7urtOnT2vFihWKjo7WunXr5OXlpdtuu83qe73xxhtq1qyZHn74YfXp00elpaXat2+fli5dqry8PH366afGIk3lfffdd0aQNXToUE2aNElt2rTRhQsXtGHDBoWEhFgNVKSy4f89evTQ8OHD1aNHD3l7e6tZs2ZKT0/XkSNH9NNPP5ktFFv+oi0oKEibN29WUlKSoqKirJ6M2NsFW3mZmZlGyNajRw8bt6Z+ZWRkaO7cucrMzJSPj4/uuOMOBQQEqHnz5rpw4YI2b96sX3/9VevWrZOPj4/ZvMbnzp3T8uXLJUl9+/bVxIkT1b59e7m4uCgtLU0JCQkKDQ21OKXQxx9/bISJN9xwg8aPH6+WLVvq/PnzWrVqldauXVtpn3VyclJgYKCGDRumLl26yNvbW02bNlVaWprCw8O1YcMGxcfH65NPPtGzzz5r9tqgoCAdOHBAR48etVgtbGLqs7YM1corKSlRZmamjh8/rlWrVikxMVHOzs5GxY4tmNY6KCwsVFRUlNkcl8XFxcbf2BTI9urVy9hXlA+vExMTjVEPl4e3W7duNS6UBg8erAkTJqhz585ycHBQTEyMli9frlOnTun111/XG2+8UaH6ubZ9zSQ3N1f//ve/1aFDB911113q2rWrCgsLtX37dn3//fdKT0/X119/bXEtktp8hrVr1+r48eNydHTU5MmTNWzYMLVs2VKFhYW6cOGCjh8/bgQZ5aWlpenNN99UQUGB3N3dNX36dA0cOFAODg46dOiQli1bpnfeeafSz9yiRQsFBQVp0KBB8vX1lbe3ty5duqTExET99ttv2rlzp9asWaMePXqYBRne3t7q37+/wsPDtW3bNqshzLFjx5SQkCBJNhvZUFRUpE8//VSlpaX685//fNWDW1tKSEjQf/7zHwUEBGjy5Mnq1KmTcnNz9csvv2jjxo06d+6cVq1apT//+c9XrQ3nzp3T0qVL5efnpzvvvFOdO3dWXl6eUlJSJEm///67EVzffPPNGjNmjFq3bq2SkhKlpqbq1KlT2r59e4Vzs/z8fC1evFhZWVlycXHR1KlTNWLECDVt2lQxMTFatmxZhcrHy7m6umrkyJEaOnSo2rZtK29vb5WWliolJUUhISHaunWrtm/frm7duumWW24xXtekSRONGjVKmzZtUnBwsO68806LN/JTU1Ptphhl5syZOn36tIqLi+Xm5qauXbtqxIgRCgoKsulontrKycnRhx9+qA4dOmjatGnq0aOHLl26VO0F+dhvVq78NGVdu3bV6dOntWrVKmOto6ZNm6p79+668cYbNXLkSJtNv9S+fXu1bNlSaWlp2rt3r5YsWaJbb731iqcxbdmypXr37q0BAwaoVatW8vLyUn5+vs6ePatffvlFBw8e1Oeff67u3bubndO8+OKLKikp0f333y/J8sK6V2tKynfeeUfu7u565JFH5OfnJwcHB+Pmd0lJid566y0lJibK0dFREydO1NixY+Xu7q5Tp07pu+++0xdffGFW9HE5Z2dnDRo0SMOGDVPHjh3l7e0tJycn4+bMpk2bdOjQIX333Xd64IEHzF47duxYLVu2TGFhYXr44YctnlsXFhYa60yNGTOGKbyqQHgNmylfKVDZTsO0PTU1VTk5OVe7WRbdeuutCgkJUWpqquLj47VgwQK5ubkZO+9evXrJ39+/3qoYU1NTNXfuXGP+TUkaMGCAnnvuOT377LMqKChQWFhYhQWlvv76a0llNwvmzZtnTIvg4eGhKVOmqE2bNnrvvfcq/dmWwsQWLVqoXbt2Gjp0qObOnauoqCht2bJFd999t/EcZ2dnXXfddfrll18UHBxcaXgt2U+A0lj07NnTqAIMDw83bgzk5+cbQXB1FhvZtGmTzp49K6lsuNeoUaOMbQEBAerdu7fmzZun6Ohoff/998ZJgiUlJSVauHCh2VDYP/3pTyouLtbnn3+u48eP6+zZs2bTh6SmpmrDhg2SyoLrGTNmGAf6Fi1a6Mknn5Szs7O2bt1q9TNcc801mj9/foXHTQuvjhgxQk8//bROnjypQ4cOqW/fvsZzunXrpmuuuUanTp0yhmFeLi0tzZgn39YXbJZ8++23RhWaPVVP1IelS5cqMzNT3t7eWrBggdkNPnd3dz366KPy8vLSypUrtXz5co0dO9Y44Y6IiFBpaak8PT31wgsvmFXceHh4qEuXLhoxYkSFnxkTE2OcmN56661mJ7e9evXSCy+8oIULFyoiIsJquwcOHGhxkULTzx06dKiee+457d27VwkJCWYXLIMHDzZuHFrb98bExNg8VDMxTTF1ufbt2+vRRx+tdKTW1ebs7KwePXroyJEjRuW0ycmTJ1VQUKBWrVqpdevWksqC6ZCQEEVHR+vWW281nmttvuucnBwj9L3hhhv02GOPmf2MwYMHKyAgQC+++KLOnj2r1atX669//auxvS76msnFixfVrVs3zZ071+yGzOTJk5Wdna3169dr7969unjxolkAWtvPcPDgQUnShAkTKowEa926tXr37m32uzRZuXKlLl68KCcnJ82aNcvswvr6669X9+7dNXPmzEo/8+OPP27xcdOUQD4+Plq7dq1+/PFHi6PLwsPDK71JZLpB1KZNG5tVV61bt05nzpyRn5+fsR5GY5Wenq7Bgwfr2WefNcLfFi1a6MEHH1Rqaqp2796tkJCQqxpeZ2ZmKiAgQC+99JJR8OLh4WEU7Zj6+9ChQytUALZs2VI9evSwOJLyl19+MQLwy0c7DhkyRD179tTMmTOVlpZmtW3lz9Ev/7m9evXStddeq08++UQ//fSTJkyYUOFG/qZNm5SUlKTo6GiL/dmeilFMI32lstEdR44c0ZEjR7Rp0yY9//zzlRZR1afCwkKzkS7lOTo6Vrg5blpEcN68eWbXTKZjUFXYb1bONN2VVNaHli1bZlbhXlBQYPSl3bt366mnnrJJNbaDg4P+/Oc/691335Ukbd68WZs3b5aPj4+6d++u7t27q0+fPurWrVul4egLL7xQ4TEPDw/5+vpq4MCBevfdd7Vz506tX79eTz31lPGcy/tlfS6sW1xcrEWLFplNQ2bqZ6GhocbN/Pvvv9/sJlxgYKB69uypWbNmGdX1ltx0000Wr5W8vLzUrVs3BQYGav78+fr11181depUs/OhMWPG6LvvvlN+fr727Nlj8Zi7Z88eXbx40W5H6tobFmyEzZQfnlTVXW/TTtHaAf1q8/Dw0Lx58xQYGGg8lpeXp0OHDunHH3/U66+/rr/+9a/6+OOP62VRyZEjR5oF1yadO3c2htFePuQ2NjbWqFyfMmVKhfl8pbLwsjbBgKOjo0aOHCnpv4tcljdu3DhJMk52LxcTE2NMRWHrAKUxMgXN5avWdu/erYKCArVv375aw/F///13SWVBSPng2sTZ2VkPPfSQpLKT8B07dlh9rylTplicw7F8iH751Djbt29XSUmJHBwc9MADD1g8CbvvvvtqVUnj5eVlfNdNVUPlmfpmWFiY2X7MxJ4u2C4XGhpq/A0HDBhgMRBtrDIyMoxg7/77768wMsVk0qRJcnV1VU5OjlnIZ1rs1MPD44ouTkwXXm5ubhanZXJ0dKxQrXGlOnbsqC5duqi0tLRCn3V2dja+U6a2XM40ZNGWoVplPDw8dMstt9jFfJOmuazPnj1rdkO9/HzXlz/38uOd6d+urq5mU1/8/vvvys/PV7NmzYz96OVcXV2NqT927dplNhVBXfe16dOnWxxJYLoAKy4urjDEuLafwfQ9u5Lp2YqLi43prkaPHm2xn7Rv377CDf0rZfrcsbGxFc5HBw0aJA8PD5WWllqsDC8sLDTWlrBVdVViYqJWr14tJycnPfLII/X+823h/vvvtziizPS3zMzMNELgq+W+++6zOlKzJv1d+u933d/fv0IgKEmenp664447rrCl5kzHjdTUVOPmpknXrl2NfZe144qti1FcXFw0duxYPf/883r33Xe1bNkyffnll5o9e7axNtCZM2e0YMECsykHbGnhwoW6//77Lf5nrQJ62rRpNfr9st+sWvl+YSoAe+CBB/TJJ5/om2++0YIFC4w5k8PCwvTdd9/Va/vKu+666/T000+b7UtSUlIUGhqqr7/+Wi+++KKefPJJbd682djvXCnTPsHStZGtTJw40er6GeVvfFiaSqVp06aaPn16rX5+v3795OHhoYKCAsXExJht8/T0NPY11vaT9jxS1x5ReQ2bKX+x0hCGSPj4+Gj27Nk6ceKEQkNDdfToUcXHxxt3YAsLC7V161aFh4fr5ZdfrnSxudrq16+f1W1t27ZVfHy82TzC0n/n13RwcLB4omsydOjQCoHh5aKjo7V161bFxMQoLS1NBQUFFebyu/xEV5K6dOmia6+9VidPntS2bdsqDJe2h6qkxmz06NFatWqVDh48qJycHLm7uxtThlgKoi+Xk5NjVF0PGzbM6vOuvfZao8o7Ojra6txr1vpx8+bN5eHhoaysrAr92HRi0KVLF6tD393d3eXn51dpdWFJSYl27dqlXbt26eTJk8rKyrI4X+Dl83pLZb/Hb775Rnl5edq9e3eFO+n2Nv2CSXx8vD766CNJZRfKf//7323covoVFRWl4uJiOTg4qGfPnpXeDG3fvr1OnDihEydOGPOMmi7Uz5w5o++++0633357lSu6S//ts4GBgVb7Q8eOHdW+fXuL/c2kqKhI27Zt0+7du3X69GllZ2erqKiowvMs7XvHjRunjRs3Gt/J8vveS5cu2TxUK++5555TSUmJSkpKlJOTo+joaK1Zs0ZLlizRL7/8ohdeeMGmJ/imY1Npaamio6ON42n5+a5NOnbsqObNmyszM9OsIt50PO7Zs6dZqGW6IOzVq5dKSkqs9lHT+UVubq6SkpKMBbXqqq9JZUUF1qZFKl/Zf/kN+9p+BtPIlp9++slYnLGq6axOnz6tvLw8Sap0QcqhQ4dq3bp1lb5XUlKStmzZoiNHjigxMVEXL16scH5TUlKi5ORkde7c2XjMdJNow4YNxlQK5e3bt0+5ubk2ra767LPPVFhYqIkTJ17Vc1R70aZNG6uLzZXvw6ZppK4G0+KH1nTp0kX79u3Ttm3b1LNnT40YMaLKm6M5OTlGMcqQIUOsPm/o0KFasmRJpe+VkZGhLVu2KDIyUufOnVNeXl6FeeqlsnOh9u3bmz02duxYffnllwoNDdVDDz1kNi1A+YIZWxWjjBw50iioMXFxcVFgYKACAwP11Vdfaf369UpISND69ettOiVVTTk4OKh///41ei37zaqVD3mLior0xBNPmLWje/fueumll/TSSy/p5MmT+vnnn3XbbbfZbG2sESNGaPDgwdq7d6/Cw8N17NgxJSUlGdtTUlK0ZMkSRUZG6plnnrF4bD116pS2bNmiY8eOKTk5Wfn5+RX+lhkZGcrLy7OLdXNM4fDlSktLjXOiwYMHWz2P6Nevn5o2bWqxGMnk4sWL+u233xQeHm4ULljaTyYkJFT4Po4bN0779u0zFq4uPyqi/Ehdivaqh/AaNlP+wqqwsLDS55q2X2kQZO2iycHBocZzL3Xt2tU4ES0qKlJ8fLzCw8O1efNmZWVlKSMjQ++8847eeOONqxYCVHZQNH2uy3+npsoSLy8vi1XXJpefnF5u6dKlxrQNlbFWxRAUFKSTJ08qNDRUDz/8sFHVdenSJe3atUuSfQQotlBcXGx1wRVnZ+daD0UzVVcfP35cYWFhGjRokBE0VCe8Lj98rqoL306dOikpKcnsNZerTT+uqp926NDBanidl5enRYsWKSoqqtL3MD33ch4eHho0aJB2796t4OBgs/A6Li7O5hdsliQnJ2vhwoVGReS//vUvq5XHVbF0s8rEnsL6y5nCutLSUj3xxBPVek356a0CAgI0aNAg7d+/X2vWrNG6deuMoZh+fn7y9/e3WPFvWhiyqj5bWaCYnp6u1157rVrzWFra93bu3Fldu3bViRMnKtw43Lt3r81DtfLKV/o2a9ZMvr6+Gj58uObOnavY2FgtXrxYb7zxRpWBZnl1eS7Qq1cvYxHp8uG1KZAuX3ltulFy4MABRUdHq127dsrKyjL2EZffwDX9/Q8cOGDMHVmVrKwsI6Cri75m4uHhYbVatPzv7PJ9dG0/w7Rp07R3715lZmZq0aJFatGihfr06aM+ffooMDDQLPgwKV85W9ln79ChQ6Xt2LVrlz788MMqz0kly9+zcePGacOGDUpMTKxwk6h8ddXVCkors2PHDkVERKhVq1aVLrBXU1f7/KUmKjvHKL+fqc7fu6aqutF266236vfff1dqaqree+89LVmyRL1791afPn0UEBBgcZh/+f5eWZ/28vJSs2bNrJ6PHz16VG+88UaFRdgtsfQe119/vXEjf8+ePWaj5hpCMcr06dMVGhpqLDZ+JeF1SUmJ1X7j5ORU49F/c+bMMSp5q8PDw6PG513sN6tW/nfbrl07i9MrOjs764477tBbb72loqIiHThwwBhpXJWrsd9s0qSJ2Y0bUxHAjh07FBoaqtLSUu3Zs0fr16/XxIkTzV67fv16LVu2rFqV2RcvXrSL8NraPjY3N9fob5X1YUdHR7Vt29bq1CFnz57V/PnzlZqaWmVbLPXvAQMGyMvLSxkZGQoJCTEbEWMaTezq6lppURj+i/AaNlN+nuvyAYElpu3VqXIrz9qFk4+Pjz744IMrei9LnJ2djbmkxo8fr9mzZyshIUGnT5+udDG32qrORfvl4ZLpjmJVF+qVnQSFhIQYwbW/v79uuukmde7cWR4eHsaJWkhIiJYsWWL1wDdq1Ch9/fXXxsmuKTS19d11e7B9+3arC+xMmTKlTqpCRo8erePHj2v79u3Kz89XSUmJevbsabU6qbzyAVBVJ8um7ZbCX5Oa9GNTG2rTj5cuXaqoqCg5ODgoKChIw4cPV/v27dWsWTPjRPGTTz7Rjh07LN5Zl8puwuzevbvCnXR7nH4hMzNT8+fPV3p6ulxcXPTCCy+YTVVwpZ555hmrw6xXrFhR4/e92moyLPjyi4oZM2Zo/fr12rJli1JSUnTs2DEdO3ZMa9euVfPmzTVhwgTdcccdZhccpn1vdb8zlrz//vs6c+aMnJycNGHCBA0aNEht2rSRm5ubETDOnz9fx44dq7TPmkYOlb9xaOuLw+pwcXHR9OnTNXfuXJ05c0aHDx82m4u+KnV5LmCa6uPEiRNGYH3+/HllZmbKzc1N11xzjdnze/XqZYTXQUFBVue7lmrfR+uir5lcyc2B8mr7GXx9fbV48WKtWLFCe/bsUXZ2tvbs2aM9e/ZIKqvMvu+++8xG7lT32FTZtsTERL3//vsqKipS27Ztddttt6lnz57y9vaWi4uLHBwclJKSohkzZkiSxe9Zp06djBvEwcHBRgiTkZFh3Ey1xU3NoqIiLV26VJL00EMPXZWbjPVx/nKlqtuHrd2MrQuWpt0pr3nz5lq4cKFWrlypHTt26OLFizpw4ICxiGObNm101113mRUYlK8QrM65kKXvZG5urt566y3l5ubKy8tLt99+u/r06aPWrVvLxcVFjo6OKi0tNaYZsnRO7+7urkGDBiksLEzBwcFGsNdQilGcnZ3Vr18/bd26VQkJCSooKKj2zcyoqCjNnTvX4rYxY8ZU+wZ5bVXVvyrDfrNq5ac27Natm9V9SvljuWmEanXUx37T3d1dgwcP1uDBg3XdddfpzTffVGlpqTZv3mwWXkdHR+urr76SVDaC1jRVm6enp9HPjh49qkWLFkmy/Le0BWvfgSvdT1pSXFyst956S6mpqXJzc9Ntt92mvn37ysfHR66urkZ/ePrpp5Wammrxd+Lk5KTrr79e69atU3BwsFl4beuplRoiwmvYTMuWLeXq6qr8/HyjWsiSS5cuKT09XVLVd39tycPDQ/fcc4/efvttSWVD9MuH19U5ebuaBwLTjruyYTFS5fOKb9myRVJZtdjs2bMtHsSt3UE2cXd315AhQ7Rr1y5t27bNOCEvP3+fvQYojcHIkSP11VdfKTo62qiKrs5CjZL5wb2q+edN2+v6rrypDTXtx/n5+cZUKZMmTdI999xzRa836d+/v7Gyt+lOelFRkd1dsF28eFHz589XQkKCnJycNGPGjArVng1FdX+f1vajpn1gs2bNjAXlrpSzs7MmTZqkSZMm6dy5c4qJidGRI0cUHh6unJwcrVy5UmfPntUzzzxj9nPz8vKq/Z25XGJiojGs8C9/+YvFxbsqe73JqFGj9NVXX5ndOCx/cRgUFFTp622tR48exv+Pj4+/ovC6rvXu3VsnTpzQ8ePHVVhYaATSPXr0qHBcNH3fTM8x/a+Tk5PZZ5LK9m/Z2dm65ZZb9OCDD15xu2rb1+pCbT+DVDb92VNPPaXCwkLFxcUpJiZGkZGROnLkiE6dOqUFCxbo+eef16BBg4yfaVLZZ6ts27Zt21RUVKRmzZrptddes7iQeHXO0YKCgnT8+HFjKgUXFxeFhISopKREbm5uNqmuKigoMKbgevPNN6t8vikw8fPz0yuvvHI1m2aXanusuVJeXl565JFH9NBDD+nEiROKiYnRoUOHFBkZqaSkJP3f//2fcnNzjbmHywcxNT0XCgsLU3Z2thwdHTVnzhyL11fVqcgeN26cwsLCdOjQIaWmpqpVq1bav3+/cnJyGkQxSvkRaLm5uTUeldsQsd+sWvnvhbV5lSWZjWiurGjH1oYMGaIBAwYoPDxcycnJZgsub968WVLZDbNXX33VYihsaaq6q6Wm83Kb1MV+8siRI8ZIuRkzZlg976zqbx4UFKR169YpISFBx44dU69evXT8+HFjNKW9n3/bE8Jr2NS1116rqKgoYyVYS06cOGHswK699torev/6rgIsP5XC5TtKU2VyZcOqruZij6ZAOCMjw+xgdbnKhhKfPn1aUtkdQmt3n6szrD0oKEi7du0yTnadnJxsfnfdHowdO/aqf37TYoQRERFKSUmRk5OTRowYUa3Xtm7dWg4ODiotLdW5c+cqnWfPVHlQ3RXPq8vHx0enTp2qcsi76WTjcufPnzdusFT2uavqx46Ojrr++uu1du1a4076vn377OqCraCgQIsWLVJ8fLwcHBz0j3/8w+rccFeiLkat1ET5Ybg12Y+2adNGUlmgn5ycXOt5kzt06KAOHTooKChIhYWF+uCDDxQaGqqwsDCdPXvWOB74+vpWq89a215+KOPl83eaFBUVWZzrurzmzZtr6NCh2rlzp4KDgzVq1ChjyKItLw6rqzZBUV2fC/Tu3VsbN25UUVGR4uLiLM53bdK9e3c5OTkpISFBmZmZRrV2t27dKlwc+vr6KiUlRSdPnqxRu2rb1+pCbT9DeS4uLvLz85Ofn58mTZqks2fPau7cucrMzNSqVauM8Lr8DW9Lc/OaWDsuSP/9nvn7+1sMYKT/ngNVxnST6OLFi8ZNIntdB6Eu1cf5S32p7bGmpkw3tHr06KFbb71VaWlpevXVV3Xu3DmtXLlSN910kxwcHMz6+7lz56yuH2I637fE1N87d+5stTCoOufzffv2VatWrZSamqqQkBBNnjzZGIHWEIpRyv8NK5tS8XL+/v52PdKsOthvVq1jx45ycXFRYWGh0tLSrD4vOzvb+P/Wrq8tscV+s2PHjgoPD5dUdp1gaq/p7zRo0CCr1czV2SdUR5MmTXTp0qVK96+mwsWaat68uTFtUmV9uKSkRImJiRa3mX4nzZs3txpcp6amVjnirEOHDurZs6diYmIUHBysXr16NYiplexRzcYEAnXEdOFhmmrDkrCwMElllRB1EbxcTeUPbJfPtWe6Y2ttBylJkZGRV6Vd0n/n4SwtLdXevXutPq+ybabQz9rd0IKCgkpfbxIYGKjWrVsbq0ubpmdoCAFKY1C+0tq0SnJ1uLu7G4Hc7t27rT4vPj7e6Od1XeXbs2dP42dYm7oiJydHR48etbitfNWAtX4cFxdntsCJNaY57RISEowTEsk+LtiKior09ttvG6HaX//6V6vBZ0NRvurF2n40MTHR6t8uICDAqKgzXVzXFRcXF02ePNn4d/lw0NRnDx06ZLW649y5c1YDxfKjWaz12T179lRrvklTdUdkZKTS0tLMLg7tveKs/Bz1phsRtlL+QiM6Otr4npWf79rExcXFuPEeGRmpEydOSLK8bzRdHB07dqzScwVratvX6kJtP0NlOnbsqOuuu06SeaDSuXNnY5SPaXoRSyo7PzEdGyqr9tq5c2eVbWzWrJmx+FlwcLBOnDhhXPDbKtx1c3PT66+/Xul/5Ud0mB57/PHHbdJeW6vtsaautGzZ0vi7ZGZmGpXQ7u7uRuBcWZ+u7LtQnf6+Y8eOKtvo6Oho3KwPDg62i6kequvSpUs6ePCgpLL5jO39GFjX2G9WzcXFxTimHT9+3OrnLH/NUZtp+eqDKatwcnIymxalqmv80tJSY3SpNaZp7KqqmjbtY60VXZSUlBhrMtWUac0RSdq/f7/VNkVGRlqtzK7qdyJVbz8p/ff8e9euXbp48aLxvbCHYqeGhPAaNnX99dcbJwvfffddhe3Jycn69ddfJUnDhg2rdMjO1fTtt98qLi6u0udcunRJq1atklS2wwwICDDb3q1bN0lloZulO5dxcXHVOsDXVI8ePYyT3ZUrV1ocDrhjx45Kq+BNlYr79++3uP3rr782u/tszeUnuw0pQGkMRo4cqX//+9/697//fcXz8pkOvtHR0RZPYoqKivTFF19IKhuyVZ2FIK/E6NGjjbkYv/rqK4tzVX7zzTdWp68pHypb6scFBQVasmRJtdrStm1bI8Rat26dcRFk6wu2kpISvf/++8acmffdd5/VqSYaEh8fH2OIr2nql/JKSkr09ddfW319q1atjGr7H3/80aiAtSYlJcWsHyUkJFR6Als+5Ci/PoNpX5eXl6fly5dbbLdpPlpLyleI79u3r8L2zMxMffPNN1ZfX15gYKB8fHxUWlqqpUuXGjeNbd1nK6uKkcpuSJk+o5ubmwIDA+ujWVZ5enqqXbt2kspu5CUmJsrR0bHCNCAmplB7/fr1RgW5pUqbG264QU2bNlVJSYk++OCDKqf3uDyErm1fqwu1/QxV9QXT96z8RbeTk5MRam/fvt24QXD5z/nll1+svq/p2BATE6OcnJwK23ft2mXsU6tiurEZGRmpNWvWSLJtdZWjo6O6dOlS6X/lz69Nj1VnLYzGqLbHmitRVX83BeTOzs5m07CZvutHjhyxeFzIysrS6tWrrb6v6bhy7tw5iwF9dHS0fvvtt6o/gMqOHw4ODjp//ry++OILuyhGycvLq7Qa0nQOaarurO70eY0J+83qGT9+vKSy7+LWrVsrbC8sLDS+a25ubjYptEtMTNT3339v8W9QXnx8vFF85O/vb7Y+i2mfEBkZaXF6kB9//LHKymvTuW9VVdOmTGT37t0Wr9c2btxotUDpSpj2k4mJiRb7cUFBQaXnz6bfSV5ensWiqISEBKOvVmXkyJFq2rSpLl68qP/85z/Kzs6Wg4ODzc+/GxrCa9iUl5eXUa22f/9+vfPOOzp9+rSysrK0f/9+zZs3TwUFBXJ1ddXdd99ts3ZGRkbqxRdf1L/+9S+tW7dOx44dU1pamnJzc5WYmKjg4GC9+OKLRmXYn/70pwrTJYwYMUJNmzZVaWmp3njjDR08eFA5OTlKTk7Wxo0b9dprr9X5FAuX+/Of/yyp7AA8Z84cHThwQFlZWUpKStKqVav04YcfVloxOnz4cEllJ8vvvfee4uPjlZ2drbi4OP373//W5s2bqz0veVBQkHGyaxp2VhdzPk2bNk3Tpk27alMbXLp0STExMWb/mQ68WVlZZo9fyaId9cnZ2dmY8qB8AFAdN910kzp16iSpbBG5lStXKjExUdnZ2Tp69Khee+0143tw1113XfEiq1Vp1aqVbr31VkllJz1vvfWW4uLilJOTo/j4eL3//vv67bffrPZjb29vo+JxzZo1Wr16tRITE5WVlaXw8HC9/PLLOnnypBFMVcXUZ/fs2VOvF2yV9fPPP//cuLFwyy236KabblJ+fr7V/xqS66+/XpIUGhqqr776SklJScrJyVFUVJQWLVqkgwcPVhj1Ut6DDz4ob29vXbp0SfPmzdPXX3+tuLg4ZWVlKSsrS6dPn9a2bdv0+uuv66mnnjKbx2716tX63//9X33//ffGlEc5OTnGxd1//vMfSWVT5ZiqPaSyaljTvnPDhg365JNPdPr0aeXk5CgmJkaLFy/WwYMHrfbZbt26Gdu++OILbd68WSkpKcrIyNCuXbs0a9YsZWVlVavav/yUNqGhoZLMb8LU1LZt24w+eeTIkSt+/YwZM/TGG28oODhYZ86cUVZWlnJycnT69Glt3LhRzz33nHHRdM8991zRsNyrxfQ7M02P0aVLF6tDm03htem5Dg4OFqu0PTw89Mgjj0gqq1yeOXOmfvvtNyUmJio3N1dpaWmKiorS6tWrNWPGDGNxJZPa9rW6UNvP8Mwzz+jVV1/V5s2bdfLkSWVlZSkzM1OxsbH66KOPjOHOl48kmTJlipo1a6bi4mK99tpr+vXXX5WWlqaMjAyFhIRo7ty5lY4yMt3Yys7O1oIFC3T48GFlZWXp3Llz+v777/Xee+9V+/zG399fvr6+Ki0tNYKCurhAfeWVVzRt2rR6Wwzuj6y2x5rqWrBggV566SWtX79esbGxysjIUFZWluLj47Vs2TJt2rRJUlkBj6mqUSoL1Ezf43feeUfr1q1TcnKysrKytHfvXs2ePVsFBQVWp8IYOnSoHBwcVFxcrIULF2r//v3KyMhQcnKy1q1bpwULFlT75kX5Y4jpuGK65qmNDz74wDiuXKmkpCQ98cQT+uyzz7R//34lJycb+599+/bp1VdfNX63HTp00G233VartjZU7Der1rdvX6Mq/PPPPzeuG7Kzs3X48GHNnTvXKASYOnVqnV/3VIcpQH/sscf0zjvvKCQkRGfPnlV2draysrJ0/PhxLV++XHPmzNGlS5fk6OioqVOnmr2H6W95/vx5vf7664qNjVVWVpZOnTqlJUuW6Ntvv63yb9m1a1dJZYVpsbGxys/PV3FxcYVp30x/1wsXLuj111/XyZMnjXO+L7/8Ul9//XWdjLAbMWKEUVTw1Vdf6dtvv1VCQoKys7N16NAhzZ07V2fPnrW6L+/Xr59x0/Ddd9/Vjh07lJaWptTUVP366696+eWX1aRJk2r9zd3c3IzzM9N+MiAg4KpnP40Nc17D5iZPnqykpCT9/vvv2rVrV4VqTldXV/3zn/+0OhdXfTDtuI4fP67jx49X+twxY8ZYXKTIw8NDDzzwgD755BMlJiZqwYIFZtt79OihO+64Q4sXL66zdl9u4MCBmj59ur799ludPn1aCxcuNNveoUMH3X333Xrrrbcsvn7SpEnav3+/Tp06pe3bt1eoSBk6dKgGDhyojz/+uMq2+Pr6ys/Pzwg62rZt2yAWkktPT9esWbMsbtuzZ4/Z0LvGuNiRi4uLXnjhBc2fP1/nz5/XihUrLM77N3HixKt2MXDPPfcoISFB+/btq/A7l8pCjfbt22vlypUWX//II49ozpw5ys3N1ffff6/vv//e2Obg4KA///nPOnXqVJVzCEtlN3Q+//xzIwSuiwu22jItuiKVVS9s3Lix0uc3pHkb77zzToWHh+vcuXNav3691q9fb2xzcnLSE088oV9//dVq1YeXl5deeeUVvfnmmzpz5ox++ukn/fTTTxaf6+joWGFu/6SkJK1evdpqRVuLFi30zDPPmFWzSNLjjz+u1NRUxcbG6tdffzVGFJlMnDhRmZmZxiiU8pycnPTYY49p8eLFysvLqzAywNnZWU8++aQRalclKChIq1atMkYt2MOQxZKSEu3du7fS4clNmjTRPffcY1RB2Vrv3r3NqrAqO35dvq1Tp05WL3bGjBmj4uJiffbZZ0pISDBuilhi6SZbbfpaXanNZygtLdWhQ4eMRUot6devn6ZMmWL2WMuWLfXss89q8eLFysnJ0SeffGK23c3NTS+99JLV43dgYKDGjRunrVu3Ki4uTvPmzTPb3r59e/3tb3+z+vryTNVUpn2rvayDgOqr7bHmSsTGxlY66rFr16566KGHzB5zdXXVzJkzNW/ePGVlZWnZsmVatmyZsd3Z2VlPP/20vvzyS4sjLdu3b69p06Zp+fLlSkhIqHDt4e3trRkzZpgtPlyZoKAgs8pEe6gmzM3N1aZNm4yQ2pIePXro6aefbrRz0VeF/Wb1PPnkk1q8eLGOHDlS4brB5Gpe91SlSZMmcnZ21qVLlyxmKeU1a9ZMjz/+eIUb6GPHjlVoaKgiIiJ08OBBYzSpSa9evTR58mQtWrTI6nuPHz9eBw4cUGJiol566SWzbe+//75RyTxw4ECNGjVKO3bsUEREhDHVkMnNN9+sFi1aWL2Oqy5HR0fNmDFDr7zyihITE7V27VqtXbvW2O7g4KCHH35YoaGhFvfl7u7uevjhh/Xhhx8qPT1d//d//2e23c3NTTNnztQHH3xQZdW7VLafLH/uZS/9uyEhvIbNOTg46G9/+5sGDRqkLVu26OTJk8rLy5O3t7f69eun22+/3eZDF2fPnm2sdh8bG6vz588rIyNDJSUlcnV1la+vr3r27KkxY8aoe/fuVt/nxhtvVKtWrfTTTz/pxIkTKioqUps2bTR69GjddtttVQ5jrwuTJk1S9+7d9dNPPxlVw61bt9awYcM0adIki8PGTFxdXTVv3jytWbNGoaGhunDhgtzc3NSxY0eNHTu2wk65KkFBQUZ4XRc78NTUVOP/Wxu+jdrz8fHR66+/rs2bNyssLEznzp1TQUGBPD091atXL40fP/6q3ohwdnbWc889p99++01bt27VmTNn5OjoaCyed+ONN+qHH36w+vrOnTtr4cKFWrlypSIjI5WdnS0PDw91795dt9xyi/z9/atdue/q6qoRI0bo999/l1Q/F2x/5H7erFkzvfrqq1q9erX27t2r1NRUNW/eXH369NGkSZPUtWvXCmHd5dq1a6fXX39dO3bsUFhYmE6cOGEM3/Py8lLnzp01ePBgDRkyxCxgvPfeexUYGKjIyEidOnVKGRkZysnJkaurq9q3b68BAwYYJ9yW2j137lxt2LBB27dvV0JCgpo2baprrrlGN910k0aMGFFpn+vbt69ee+01rVq1SkePHlV+fr48PT3l5+en2267Tddee63ZTYvK+Pj4KCAgQIcOHaqzi0NTn3R1dTVGZlyJuXPn6vDhw4qKilJKSooyMzNVVFSkZs2aqUOHDvL399e4cePsqkLl8mp1S5XUJl5eXmrTpo0xBUBV+8dx48apf//+2rx5syIiIpSYmKi8vDw1bdrUON8YNmyY/P39K7y2tn2trtT0MyxatEiRkZE6cuSIkpOTlZ6erqKiInl4eOjaa6/V6NGjNWLECGP++vICAgL0xhtvaPXq1YqIiFB2drY8PT0VGBioyZMnVzmi5rHHHlP37t3166+/6uzZs3J0dJSvr6+GDRum22+/XVlZWdX+/GPHjtUPP/yg0tLSOquuMn3P/mj7fVuoi2NNdbz44ouKiIjQ4cOHlZCQoPT0dBUUFMjd3V3XXHONRowYobFjx5pVXZt07txZb731llatWqX9+/crPT1d7u7u6t27t9HGL7/80urPvvPOO9WhQwdt3LjRGBXSqlUrDRw4UBMnTryiqRpNN/Lz8vLqrBjFNDdvTfp727Zt9dhjj+nYsWPGCI7s7Gw5OTnJ09NTXbt21XXXXachQ4ZYXYD+j4L9ZtVcXV01e/Zsbdu2TSEhITpz5ozy8vLk4eGh3r17X/Xrnqq0a9dOS5Ys0cGDB3XkyBGdPHlSSUlJunjxohwdHY01i/r166exY8darKZ3dHTUzJkztX79eoWEhCgpKUlNmjRRu3btdN1112n8+PFV5hQDBgzQCy+8oJ9//lknTpxQbm6u1en2nnzySfXo0UO///67zp8/L2dnZ11zzTUaP368RowYUWeFNS1bttTixYu1du1ahYWFGdlFt27ddNtttykwMNCohLZkzJgxatWqlX788UfFxMSoqKhI3t7e6tu3ryZOnHhFGZWfn5/atm2rxMREm0+t1FA5lFqaMBQA6kFYWJjefvttOTg46IMPPqj1Scrvv/+ujz76SG3atNG///3vCtWPwNXw2WefadOmTWrbtm2Fu/JXA/0ctbVo0SKFh4crMDBQs2fPrvX7zZkzR1FRUbrjjjtsOsUXYC8yMjL0+OOPq6SkRE8++aQxDUVNJScn68knn5Sjo6Pefvttm45GBC5XVFSkRx99VDk5Obrrrrt055131ur9CgsL9dBDD+nSpUuaPXu2zdc5QP1gv4nGbsaMGTpz5ozGjRv3h10UuTb+2LcaAdjUtm3bJNXdnE+mYcZTp04l0EO9uHTpkrHQan0Nk6WfozYyMjKMIZp10Wfz8/MVGxsrd3d3TZw4sdbvBzQGISEhKikpqbPqqsjISEllVWAEMLA3+/btU05OTp2N5omOjtalS5cUEBBAcP0Hwn4Tjdnx48eN9VvsYWqlhojwGoBNJCYmGvNp3XDDDbV+P9M8mZ06ddKoUaNq/X5AdezYsUM5OTlycnKqlxMR+jlqa/PmzSouLlbz5s3r5OLw6NGjKioq0sSJE+1iIUXA1oqLi7VlyxZJ0ujRo+tkHYTIyEg1adKkwiJbgD34+eefJUn9+/evk2IUU+h4zz331Pq90DCw30RjZ9pPdujQoUGs82WPKNkCUG9KSkpUUlKipKQkffzxxyopKTHmRastBwcHffrpp3XQSqByJSUlKioqUlxcnL799ltJ0nXXXaeWLVte9Z9NP0dNFBcX69KlS4qMjDQWqBw/frxcXFxq/d4DBw5sUIt+AldDaWmpSkpKlJ2drR9++EFJSUlydHTULbfcUifvX92F84D6YOrveXl5+uWXXxQVFSVJuv322+vk/e+77z7dd999dfJesF/sN9HYFRcXq6CgQKGhodq+fbukuttP/hERXgOoNx999JHZgo4ODg566KGHLC5EA9irf/zjH0pJSTH+3bx5c6qDYNcu75++vr76n//5Hxu1Bmh8goOD9eGHH5o9duuttzJUHY3S0aNHNXfuXLPHhg8froCAABu1CA0R+000ZqY518vr0aMHU4bUAuE1gHrXtGlTdezYUXfeeacGDRpk6+YANeLu7q6ePXvq3nvvVatWrWzdHKBKnp6e8vf313333SdXV1dbNwdodJycnOTr66sbbrhBt912m62bA1xVDg4Oat26ta677rpaL9KIPy72m2jMHBwc5O3trYEDB2r69OlydGTm5ppyKC0tLbV1IwAAAAAAAAAAKI/YHwAAAAAAAABgdwivAQAAAAAAAAB2h/AaAAAAAAAAAGB3CK8BAAAAAAAAAHaH8BoAAAAAAAAAYHcIrwEAAAAAAAAAdofwGgAAAAAAAABgdwivAQAAAAAAAAB2h/AaAAAAAAAAAGB3CK8BAAAAAAAAAHaH8BoAAAAAAAAAYHcIrwEAAAAAAAAAdofwGgAAAAAAAABgd/4faTDWigSbT0gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 403,
       "width": 727
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "accidents.Date_time.dt.dayofweek.hist(bins=7,rwidth=0.55,alpha=0.5, color= 'orange')\n",
    "plt.title('Accidents on the day of a week' , fontsize= 30)\n",
    "plt.grid(False)\n",
    "plt.ylabel('Accident count' , fontsize = 20)\n",
    "plt.xlabel('0 - Sunday ,  1 - Monday  ,2 - Tuesday , 3 - Wednesday , 4 - Thursday , 5 - Friday , 6 - Saturday' , fontsize = 13)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "9a2e5d2440529e7a60e4e689dbf8fc7714a7d044",
    "id": "X8ZWEk84clgO"
   },
   "source": [
    "As we can see that thursday has the highest amount of accidents in this dataset from 2005 to 2015. We have to keep in mind that accidents numbers could be depending on traffic amount on particular day."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "_uuid": "f2b4c64532386f9263b7f9bdd26cbac22ea8054a",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 612
    },
    "id": "G014Ih9VclgP",
    "outputId": "e6651ce1-6281-4b3f-935a-2ddfd1cb766c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Accident count')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 410,
       "width": 715
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "accidents.Date_time.dt.hour.hist(rwidth=0.75,alpha =0.50, color= 'orange')\n",
    "plt.title('Time of the day/night',fontsize= 30)\n",
    "plt.grid(False)\n",
    "plt.xlabel('Time 0-23 hours' , fontsize = 20)\n",
    "plt.ylabel('Accident count' , fontsize = 15)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "654850f800234a8784e81e447142b44c6b99d278",
    "id": "Pue4RMLRclgP"
   },
   "source": [
    "We found out that the most of accidents happened around after noon. We can assume that this time of the day has the most traffic moving such as people leaving from work.\n",
    "\n",
    "\n",
    "#### Age band of casualities\n",
    "\n",
    "In this dataset, age band is grouped in 11 different codes. We will create the labels and pass it to the plot as xticks so we can have idea about the bins representation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "_uuid": "0eb24ee1383bc02820ac4af76e07203b3cc96db3",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 601
    },
    "id": "tLyI5n9zclgP",
    "outputId": "a9672831-ca97-44e7-d1c5-b61962868167"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Age of Drivers')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MDRs2xJw5c+LZZ5+NsWPHZrzO69ati7PPPjuaNm0aZ5xxRqXt9OzZM2Pe/iVLlsScOXMy1unTp0+Vc0CnOZ/n1pxzzjkxbdq0zX/vvPPOceqpp0afPn2iffv2sWDBghg/fnw8+eSTsWLFioyyL774Ynz5y1+OJ598Muf2xo8fH0ceeWR88sknGcuLi4tj6NChMXjw4Nh1112jffv2sWbNmpg7d2689NJL8eKLL2a8f2bMmBEnnHBCTJgwIbbffvtq212zZk0ceeSRMXny5Kz7OnfuHKecckrsu+++0bVr11i8eHG8++678Y9//CNKSkoy1p06dWoMGTIkJk6cWPD89t/73vfi5Zdfzmj/1FNPjX333Tc6d+4cixYtinfeeScee+yxKC0tzSj79ttvx3HHHRevvfZarcxxv6WPPvooDjnkkFiwYEHWfQcffHAcdthhsddee0WHDh1i3bp1MW/evBgzZkz861//irVr125ed8GCBfH5z38+3nzzzQY9L2lFEydOjB/96Eexfv36iIho1apVHH300TFs2LDo1q1bNG3aNObMmRMvvPBCvPjiixllN2zYEF/72tdiypQpW90+zz///Hjqqacyyt1///3x3e9+N+/+zp07N6sfp5xySrXzqF588cVx1113ZS1v2bJlHHfccTFs2LDo3r17rFmzJmbNmhVPPvlkvP322xnrrlixIoYPHx7//e9/47DDDsu779U5++yz4wc/+MHm1yIi4p577olTTjmloPruvffejL933HHHOPbYY7daZtmyZXHYYYdl7C836d+/fxx++OHRr1+/zc/3woUL47XXXotnn302Vq5cuXndTz75JE4//fQYPXp0zp/DX/7yl7Ne24iITp06xSmnnBIDBgzYvO+aMmVKPPbYYzFv3ryIiHj33Xfj3HPPzamdhuxf//pXXHrppZs/i7fffvs49thjY/DgwdG1a9coLy+PWbNmxT//+c94/fXXM8quWrUqzj///Bg3blw0bVo7X0u3/LyfOXNmrFq1avPf2223Xeyxxx7V1pHrNSHmzp0bV1555ebP5KZNm8YRRxwRRx55ZOy4447RsmXLmDdvXowcOTKeeeaZjM/OiIjLL788jjnmmLzmLm+sx3xb6tatWxx44IHRp0+f6NWrV7Rr1y5at24dq1atioULF8Y777wTzz33XCxcuDCj3D//+c+46qqr4pe//GVe7V111VVx4403VnrfHnvsEccee2zstdde0aVLl0iSJJYuXRrTp0+P8ePHxxtvvBEbNmzIua3Zs2fHwQcfXOnndatWrWLo0KExbNiw2GGHHWL77bePlStXxvz58+Ott96KMWPGZB3r1IalS5fGkUcemXUsHPHp83HqqafGHnvsEe3atYv58+fHmDFj4plnntn8XnrggQe2me8uF1xwQYwcOXLz33vttVcMHz489t577+jYsWMsX7483nrrrfjHP/6R9Zq+/PLL8etf/zquuOKKSutu06ZNxv5o0qRJGffvsMMO0a1bt632r7JrCS1evDi++tWvZhzfRXy6/xk2bFgMHjw4evXqFW3bto2IT48LFi5cGFOmTIk333yz0s9OIEX1m/kDpG/Dhg1Z81D36NGjytNQTzjhhIx1i4uLk1mzZuXdbnl5eaUj3rp167bVeZ9XrlyZfPvb3968fmWnnuY6WqSyUYc77bRT8vDDD2919MX69euTO+64I2nTpk1G2ebNmyfjx4/P96nI26uvvlrpiKMhQ4ZsddT0mDFjKh0Nvv322+f8GlY3R21dqDjapmXLlpv/36JFi+RXv/pVla/fsmXLkgsuuKDSESv33HNPTu0vWbKk0nlnzz///GpHj8+cOTM57rjjssqeeuqpObX9P//zP1llmzRpklx11VXJmjVrKi2zYcOG5Je//GWlo3pOOeWUnNqtONK8RYsWm0dqFhcXJz/4wQ+qbH/NmjXJD3/4w0rn+bz22msLaj/Xke5r166tdK7OL3zhC8nUqVO3WnbevHnJ2WefnVX2oIMOyvmaCDVRyH6tspFhW74/zjnnnKSkpKTK8qNGjUo6duyYVceNN9641XbXr1+fdO3aNaPMPvvsk+9DTpIkSX76059mtf/CCy9stcyDDz5Y6Xv6pJNO2uoUA08//XSlU+706tUrWbZsWbV9LWQE9CmnnJKxfqFnBbz66qtZbV911VXVljv55JOzyg0ePDgZO3bsVsstXbo0ufzyy7NGaPfq1StrKrrKVPbZUVRUlFxxxRVVnmm0fv365IYbbsg4S6PiZ35jG+m+6f1YVFSUfO9739vqGRwPP/xwxvt30+2BBx5I78FtRZpnFVT2HG752IYPH55Mnz69yvKTJk2q9HP3f/7nf3LuQ2M95rv77ruT3XbbLfnpT3+a87ROGzZsSO67776kW7duWe+5N954I+e2H3nkkUr3rfvtt1/y/PPPV1t+0aJFyR133JHsu+++1Y50LysrSwYOHJjVVvPmzZMrr7yy2mnxysvLkzFjxiRf//rXk5YtW9baSPfKzgDdfvvtkzvvvLPKMqWlpcmZZ55Z5X4sn/brazve2rF3t27dkkceeaTKsitXrkzOPffcrH63b98+5zNNC32+Krrhhhuy6jrmmGNyPvvzww8/TG655Zakd+/eRrpDLRC6A9ucp59+Ouvg4/vf/36V6z/00ENZ6+canG2pspCkW7duOU+1UdlUN/kciL3zzjtZ0y0MGjQop6Blk4kTJ2adFn388cfnXL4Q5eXlyV577ZX1mE844YRk7dq11ZZfvHhxpRcZ/cIXvpBT+w0xdN90a9q0afL000/nVMcPfvCDrPIdOnTI6fXf8otTxKeh93333Zdz/8vLy5Pzzz8/q/3qQq/KQrbi4uLkr3/9a07tPvPMM5VOMfLoo49WW3Zr0wzlOrfuH//4x6yyzZo1S2bOnJl3+7mG7j/60Y+y2vzFL36RU9lNfvKTn2TVURdz+hayX9va6dg33HBDTu2++uqrWcHqHnvsUW25yy+/PKvNCRMm5NTmlnr37p1Rx84777zVuYhXrlxZ6RzuF110UU4Xa/vggw8qDd4vvfTSassWEsY+9dRTWWVuvvnmatuqqLI5dLcWWiZJktx+++1ZZb75zW/m9Dxtctddd+X9nlq2bFmlr9Hvfve7nNp85JFHqpzaorGF7hGfBp+57rfvv//+rPJHH310DR9Rbmo7dN/yvZrLfOMzZ87MCivbtWuXrFq1qtqyjfWYL0mSZMWKFXm9R7f00UcfJT179szo85lnnplT2YULFyZt27bNer1OP/30gq7nVN3gjsqOy7bffvvkv//9b95tLViwoNrtopDP2JdeeimrXJs2bXKeeu6yyy6r8n3Q0L+7VHXsvdtuu+U0cKe8vLzSQSd/+9vfcup3Ic9XZSr+sLP33nsXtD2Xl5fX6JpQQOWE7sA2p7JRb5MnT65y/bKysqw52HfZZZe8L9BU2cWHnn322bzqqOoCjrkciJ111lkZZbp37573xSWT5NOLGFVsvzbnXK3sR5KePXtWe0GiLX3wwQdZX1yLioqSadOmVVu2IYfu+f74c8QRR+QdAk2bNi1rxHa+IW6SJMm6deuSPn36ZNRz8sknb7XMl770paz+Xn755Xm1+4tf/CKrjkMPPbTaclWF7uedd15e7Z933nlZdXzve9/Lu/1cQvclS5Zkjej6+te/nld/N6k4x/h+++1XUD35KGS/VlXonuuZFJucccYZWXVU9+PI5MmTs8rkElxv6ZVXXsmq4+qrr95qmd/97ndZZQ466KC8PpPGjBmT9UPDdtttV+1nQiFh7Pr167NGn/bv3z/nvibJpxcZrBiaDB06tNp2d9lll4wyhQaGFQP/HXbYYauhxa233pr1PJ1zzjl5tVnZD2gRjTN0z3e/ffDBB2eUb9q0aZVnFqWpLkL3gw8+OK95xr///e9n1fGf//yn2nKN9ZgvDf/85z+ztp9cQtrK3nNDhw6tlTO9Fi9enPV5XVRUlNNo+kIV8hlb2feOrY1wr6i8vDwZPHhwpe+Fhv7dpbJj72bNmuV1tseUKVOy6jj77LNzKlvI81WZimfz/exnPyuoHqB2CN2BbcqCBQuyRkwccMAB1ZarbIqL6k7/39LUqVOzyh933HF59/+jjz6qdPRbdQdiH374YdK0adOCD5q3VF5enjUys9ADwVxUNkrk4Ycfzruea6+9Nqueb33rW9WWa6ih+4477ph3CPHOO+9k1dOvX7+tlrnwwgsz1t91110L/gL6t7/9LaOuFi1aVPkY5s6dm7Wtd+3aNa8fW5Lk07C/4vYaUf2I5MpC91atWuU9LcaCBQuyfvDp2LFjtaOMCgndK55C3KZNm2T58uV59XeTysLg2t7uC/mCWVnoXlxcnNPZBFuqbDT2Qw89VG25ilP5dOrUKaczcDapOPVTUVFR8v7772+1TGVn/uQzfcImlf0gVN0I9ELD2CuvvDKr3Lhx43Lu61//+tes8nfddddWy1Tc3xQVFSUzZszIuc0tzZ49O+tHipEjR1a5ft++fTPWbdmyZTJ//vy82ly1alXWjxURjS90b9u2bd77ocp+tHj99dcLfDS5q4vQfWvbTWXefvvtrDpuuummatturMd8adi4cWPSuXPnjD5XF2avXLky64e95s2bFzSdZC6uv/76rNc1n6mDCpHvZ2xJSUnWdnTAAQfkfRbChAkTKn0vNPTvLpUde+d6cdwtHXDAARl19OnTJ6dyhRwTVabi994//elPBdUD1I7iANiG3HvvvRkXdIuo/AKqFVV2MbM777wz53b/+9//Zi278MILcy6/Sc+ePeNzn/tc3uWeeOKJjAs7bbfddvHlL38573oiIoqKimL48OEZy1566aWC6qrOunXrsuru1q1bQRfh+5//+Z+sC7H9+9//rlH/6tM555wTLVu2zKtM//7949BDD81YNmXKlEovjhURkSRJPPbYYxnLzjvvvGjSpEl+nf3/nXDCCRl/r127NuvCeZv897//zbqI3LnnnhvbbbddXm02a9YsLrrooqzlhbz2J510UnTt2jWvMl27do2TTz45Y9mSJUvijTfeyLv96jz66KMZf59++unRrl27guoaPHhw1oU8a+t9nrajjjoqdt9997zKHHLIIVnL3nvvvWrLnX/++Rl/L168OOMCq1uzevXqeOSRRzKWDRs2LHbbbbcqy8yZMyerXwMHDoyDDjoopza39M1vfjNrWW3tEys+TxGfXlA1VxXXbdOmTZx++ulbLVPx/XDEEUfkdFHMyuy8886xzz77ZCyr6v0we/bsmDp1asayE088MXbYYYe82mzdunWcffbZ+XW0ARoxYkTe+6GDDz44a1ku78eGrnfv3nHEEUfkVaZfv35Zn3vVPReN9ZgvLcXFxVmfAWPHjt1qmZdeeinrovMjRoyotYuIV/ycKCoqqvICm/Xl3//+d9ZFYb/2ta9FUVFRXvUccMABMXDgwLzbb4jbcWXHk9WpuD+bPn163nXURKdOnTL+fvXVV+u0fWDrhO7ANuWuu+7K+Ltp06Zx5plnVltu8ODB0bt374xlTzzxRCxZsiSndise7BcVFcXxxx+fU9mKvvCFL+RdpuKB5X777RetW7cuqP2IiF133TXj77feeqvgurbmzTffjLKysoxlJ598clZ4notu3brFkCFDMpa99957sXjx4hr1sb5UDHJzdeqpp2Ytq+rL6Ntvvx1Lly7NWDZ48OCC2o2I6NixY2y//fYZy6radkaPHp217LTTTiuo3TPOOCOn+qtTF895oZYuXRrvvPNOxrKavFbFxcVZYUNtvc/Tdvjhh+ddpmvXrlnB1vLly6std+aZZ2b9+HX33Xfn1Oajjz4aK1euzFh2wQUXbLVMmu+Lgw46KGtf/tprr0WSJAXVtzV9+vTJ+mHj73//e6xdu7bash999FGMHDkyY9npp58ebdq0qbJMkiTxyiuvZCyryfshIvfPvcre25XtA3JRaLmGpJD3Y2U/muXyfmzohg0blneZ4uLi6NWrV8ay6p6LxnrMtzWTJ0+Ou+++O7773e/GqaeeGp/73OfikEMOif3226/S2+TJkzPKz549e6v1jxo1KmvZOeeck+ZD2GzFihVZz+Ghhx5a8I+CtaW+92UNbTtu1apVpT8IVqfi/mzjxo3xySef5F1PoSp+9t5///1x22231cpnPZC//FMNgAZq9OjRMW3atIxlw4cPjy5duuRU/txzz42rr756899r166N+++/P771rW9VW7ZiGNa7d+9o27ZtTu1WtP/+++ddpmJQM2XKlNhvv/0Kaj8isn5sWL58eaxfvz6aNWtWcJ2VefPNN7OWFTJaZpODDjoo44tVkiTx1ltvFXT2QH1q2rRpDBgwoKCyBxxwQNayCRMmVDpqtLKA71vf+la0aNGioLYjPh3du6VFixZVul7F174mj3mXXXaJrl27xsKFC6usPxcHHnhgQe1X9Zyn6bXXXovy8vKMZTfeeGP8/ve/L7jOmTNnZvxd1WvV0FT8gTRX22+/faxatWrz37mEfO3bt49TTjklHnjggc3Lnn/++Zg3b1507959q2Urjt5u27ZtfOlLX9pqmbT3iQMHDowPP/xw89/Lly+P999/v1bCnwsuuCDjzJalS5fGU089Ve2I9XvvvTcrHKhs5PyW3n333azPqXvvvTf++c9/5tnr/6diaFfV+6Gy93ah+4799tsvmjRpknXWT2NSyPuxspHx20LoXpN905aqey4a6zFfRWvXro3f/e53cffdd2edPZKvZcuWbfX+1157LePv4uLiGDRoUI3arMobb7yR9Z4+7LDDaqWtmqi4L9txxx3zPmNnk0L2gQ1tO95ll10K2uYrvn83tb21H47TdP7558eTTz65+e8kSeKSSy6J2267Lc4///w48cQTC943ATUndAe2GZVNB5PL1DKbnHPOOXHNNddkfPm/8847cwrdK46mrjhqKR8VR2pUZ926dVFaWpqxbNmyZdV+AcnXkiVLCj4Yr0ploUafPn0Krq9v3745tdHQ9ezZM++pZTbZe++9s5ZtGUZvae7cuVnLKv5wVVNVnWlQ8XXZddddC37MEZ9uN1s+znxf96ZNm+Y9Zckmu+22WzRv3jzWrVu3eVlVz3mhKnutPvjgg1TbaCxnhXTs2LGgchW/TFeciqwq559/fkbovnHjxvjb3/4W3//+96ssM2vWrKyRlWeccUa10yfV1T6xNkL3L3/5y/Gd73wn1qxZs3nZ3XffvdXQPUmSuPfeezOW7bHHHjF06NCttlXZ+2Hu3LmVLi9UVe+Hiu/tmuw7WrVqFT179sz4YaSxKeT92Lx586xlub4fG7K62Dc15mO+LY0ePTq++tWvxvvvv59KfdX9ULFgwYKMv3v16lXw4JjqVGwrIrKmr2oIKu7L9tprr4LrquzYc2sa4nac1vs3om73ZyeddFKcfPLJ8cQTT2QsnzJlSlxxxRVxxRVXxM477xxDhgyJgw46KAYPHhwHHnhgQWcVA/kzvQywTfjkk0/i4YcfzljWoUOHvKZq2WWXXbLm4pw0aVJOI1YrTtFR2aiHXOVbtq6Csi2DlLRUfN4iImue6Xx06NAha1muUwQ1JGlvP1V9iamLbaeq7abia1+T1z0i+7Vfu3Zt1qj7rWnbtm3e85huqeLIzbS/ONbna9XQ1Pboy4qOPvro6NmzZ8ay6uYrr2z0dnVTy0Q07n1iu3btsqYYeOGFF6KkpKTKMi+//HLWj0fVjXKPqN/3Q8X3dk33HTXZ3zcEdf1+bMjq4rlozMd8m4wcOTKOPfbY1AL3iOpDzor7vcr2jWmpbB9bm+0VquK+7LP+3aUx78vuv//+OOuss6q8f86cOfHAAw/E5ZdfHoMGDYoOHTrEqaeeGg8//HBO08ABhRO6A9uEBx98MGPagIhPL5CU7zQZlY2Mz+WCqhUPWCobxZWrfPtcWUjTWFSc7zgi8r6QZnVlK2ujoavpc1AxAKrqOajPbadin2rymKsqn89rn3b7aW93jfl93tgVFxdnfTa8++67VV4kuLLR23vuuWdOc45X3G6KiopqNMdtXe8TK/6wsOmsgKpUnB+/uLi40gubV7St77ugKo39s2DZsmUxYsSIrB/Fi4uL49hjj40bb7wxnnvuuZgyZUosWrQoPvnkk9i4cWMkSZJxy/daAhUvolqbU39UbKu22ytUmvuyfMs29u24oWndunXcf//98cILL8QRRxxR7Q/Bn3zySTz++OMxYsSI2H333eP22283BzzUEqE7sE2oLBj/05/+FEVFRXndzjvvvKx6HnjggWpHSlQc4VGTUKOyg/WtadWqVday73znO1lfUGp6q8mUOVWp7NTeij+e5KOysrV1+nBtqulzUPHAuarnoLJtZ+nSpaluN1WNCK7Yp5o85qrK5/Pap91+2ttdZa/VxIkTU32tKrvQHJ8677zzsr7EVnVB1VGjRmVNF5LL6O2I7O0mSZK8ztioqK73iUceeWTWZ0VV+4BPPvkkHn300YxlxxxzTOy0007VtlPZ++GJJ55I9f0wa9asStuui30XVKUxH/NFRPzsZz/LmlZk4MCBMW3atHj++efjhz/8YRx33HHRt2/f6NSpU2y33XZRXJwdWeQ7Er/i2Wi1eaHLyq5ZUJcX1sxVmvuyfMs29u24oTrmmGNi5MiR8eGHH8bvf//7OP3006NHjx5bLfPxxx/H17/+9TjppJMypkkE0iF0Bxq9qVOnxtixY2ut/mXLlsVjjz221XUqnjZak9Mm8y3buXPnrGWNZX7Yyk63rcm0HJWVLXSOxvpUkwvKVVa2qukpKtt2qgqa0lbxta/pdCwVy7do0SKvEcIrV66s0Sifij+W1XS6nIoa8/t8W7DbbrvFsGHDMpY99NBDUVZWlrVuxZC5SZMmOY3ejmj8+8SioqKsswKmTZtW6Wf0I488khXU5DIFT0T9vh8qvrdruu/YFi4gSt1p7J8FDz74YMbfO++8c/znP//J+0KP+U6T1alTp4y/a3OkdcW2aru9QlXcl6V97Lk1jX07buh22WWXuOSSS+Lhhx+Ojz/+OD766KO477774uKLL67yh+2nn346LrnkkjruKWz7hO5Ao5fL9C+13cbOO++c8ffkyZML/hL+9ttv57V+27Zts0aM5FtHfenSpUvWsnfffbfg+qZOnZq1rLID+4Zu9uzZlYZ5uXjvvfeylnXt2rXSdSu7uFRdbTsVX/sPP/ywRvNKVnzt833dN2zYUPCFST/88MOs0UFVPeeFqs/Xik9VDISXLVsWjz/+eMayTz75JP7xj39kLDvuuOOqHWm2ybawTzz//PNzOiug4rIOHTrESSedlFMb9fl+qPje3rBhQ8FzU69ZsyZmz56dRrf4jGjMx3zvvvtu1sWOL7vssrznA1+/fn3eF03u1q1bxt+zZs2qtam2KrYV0TBfo4r7ssqOH3M1bdq0vNZvzNtxY9SzZ8/4yle+ErfffnvMmTNn83UVKrrzzjtjypQp9dBD2HYJ3YFGbf369VnzxTZv3jwGDBhQo1vFkYCjRo3aaiB38MEHZ/y9fPnyvA9ANylk1H7F9j/88MMaHTzXlQMOOCBr2fjx4wuub9y4cRl/FxUVVdpGQ7dhw4aCv3xUduHfAw88sNJ1K243ERH/+te/Cmo3XxVflw0bNsTEiRMLqmv27NmxcOHCjGVVPeatyeWiybmWK6T9rTnkkEOyltXVa8WnTjvttKzT8SuOan/44YezRm/nOrVMRO3vE9u3bx+77757wfXlYpdddokjjzwyY9lDDz2UMR3E+++/H6+++mrGOmeddVbO1zTZd999o2XLlhnLnnvuuQJ7nJ/K3tuF7jsmTpwYGzdurGmX+IxprMd8c+bMyVo2dOjQvOt566238h6YcOihh2b8XV5eHq+99lrebefioIMOiqZNm2YsGz16dK20VRMV92Uff/xxLFiwoKC6CtkHNtbteFtwxBFHxPPPPx8XX3xxxvIkSbIGEwA1I3QHGrWnnnoqa27IU045JSZOnFij209/+tOMOpMkqXL+3ojsg/mIiL///e95P57y8vKsU29zccwxx2Qtu++++/Kup64dcMABWcHJE088UVAIsWDBgnjllVcylu21116NcnqZiE+fh0JUNhXSoEGDKl138ODBWRe/euaZZ+rkNOjKLipZcX7nXD3yyCM51V+dunjOC7XLLrvEHnvskbHsjTfeiOnTp6faDlVr3bp1nHHGGRnL/vOf/2SMuKz4OdGpU6c48cQTc27jsMMOy1pW6PtiwoQJWafrDxo0qNoLrKWh4g8Ny5cvz/gif88992SdDZbr1DIRES1btowhQ4ZkLJs3b168+OKLBfQ2P5W9twsNKaqbuo50VQxCG+sPHo31mG/RokVZywo5RnvooYfyLnPEEUdkLdvaRZ5rom3btlk/oI4dOzZmzJhRK+0Vqr73ZY11O05LkyZNMv6uj/3Rz3/+86x+OOMA0iV0Bxq1yqZ9Ofvss2tc74gRI6J58+YZy+65554oLy+vdP1jjz02ay7eO+64I+85Dh944IG8T5mNiEpDnVtvvTXvOS/rWrNmzbJGRM6fP7+g8PPPf/5zbNiwIWNZZadONhZ/+9vf8p5uZcqUKVkjt/r165c1/dEmzZs3j+OPPz5j2cqVK+Pmm2/Or7MFOProo7MO9P/2t7/lfTGuDRs2xB133JG1vJDX/oknnsj6Ea86paWl8eSTT2Ys69ixY6VnEdRUxak3ysvL4/rrr0+9HapWMRguLy+Pv/71rxERMXPmzKzR21/5yleyPku2Zqeddoo+ffpkLBs/fnxBowhvu+22rGV1tU/80pe+lDVlxKazApIk2fycbbLvvvvmfVZSZVPRXHvttXnVUYiePXtG3759M5Y9+eSTWWfbVGfNmjWfqYCpIah4pkpDvLhlLhrrMV/FH/kjKg/it2bZsmVx11135d324YcfnnWc/vDDD8dHH32Ud125OOWUUzL+TpIk/u///q9W2irUMccck/VD1F/+8pe8p8ecOHFiQWdkNdbtOC0NYX/UqVOnrGntXGcE0iV0Bxqtjz/+OF544YWMZV26dMkKEQvRsWPHGD58eMayuXPnxvPPP1/p+q1atcq6eNyCBQvie9/7Xs5tzp8/P6/1t7TPPvtkHbyuWLEizjnnnCp/KGgoKrtozxVXXBGrV6/OuY6PPvoofvGLX2QsKyoqatQXBJo7d2788pe/zKvMZZddlrXs61//+lbL/O///m/Wsl/+8pdZ4WHaevTokfWldMGCBXHdddflVc9vfvObrNORDzvssNh///3z7tOaNWvihz/8YV5lfvjDH2Ztq+eff37O02Tk43vf+17WmSH3339/QaP+KMzgwYNjr732yli2KUyuONVMRH5Ty2xS2X7r0ksvzSsIeeONN7L6s9122xXUn0K0atUqRowYkbHsxRdfjDlz5sSLL76YNY95If268MILs+ZOfvXVV+Omm27Kv8N5qrhfLSsri+9///t51fGzn/0s5s+fn2a3qEbF0PXDDz+s0UVw60tjPebr3r171rKKx/HVufTSSwu6uHTr1q3jW9/6VsaydevW1dpz9o1vfCPatWuXseyOO+7I+/HWpu7du2dtRxMmTIh777035zqSJMl6XnPVWLfjtFTcHxV6XaGaKCsryzq7tbJrywCFE7oDjdbdd9+ddSreiBEjskZtFKqyEfNbu6Dq5ZdfHm3atMla/wc/+EG1B48ff/xxHH300QXPpRgRcf3112eNHH722Wfj/PPPL/iinFOmTIlzzz23VqcbOeGEE2LvvffOWDZr1qw466yzskauV2bp0qVx0kknZQWfX/ziF2PPPfdMta917YYbbsh53u4f//jH8d///jdjWYcOHeKcc87Zarn9998/vvSlL2UsW79+fZxyyinx8ssv59fh/9/atWvjz3/+c/z617/e6nrf/e53s5bdfPPNOU+x9Pzzz1f6o0GhP15FRNx1112VjpyvzB133JE14q5Zs2bxjW98o+D2t6Z79+6VBrIXXHBB1sU7c7Vx48Z46KGHKn0eqdx5552X8feMGTPi5Zdfzhq9vf/++8d+++1XUP0Vp1wYO3ZsXHrppTmV/+ijj+K0007L+ty58MILo3379nn3p1AVg/Ty8vK49957s6bgadasWUFnqLVq1arS7faqq66K3//+93nXt8lzzz0X3/zmN7e6zrnnnpv1XN57773xpz/9Kac2Hn/88Tr5cYBM++yzT8bfy5cvjzFjxtRTb2qmMR7z7b///lnHyb/97W9zPsPzhhtuiPvvv7/g9r/97W9nvW9feeWVOPPMMwu6kPvWRslvv/328e1vfztjWZIkMWLEiBg1alTebS1cuDCvwSi5qtjHiE8HcFS8HkhVrrjiihoN0miM23FaKu6PXnrppbzP9pw5c2bccMMNeZ+lucntt9+ete0PGDCgoLqAKiQAjVB5eXmy2267JRGRcRs7dmxqbZSVlSXbb799Rv3NmjVLFi5cWGWZ2267LatPEZEceOCByT/+8Y9k1apVGet/+OGHyc9+9rOkbdu2m9c99NBDs8r/5Cc/yanPN998c6XtDxgwIHnqqaeS8vLyautYsmRJcueddybHHHNMUlRUlEREUlpamlP7hRo9enTSpEmTrH4feeSRyYwZM6osN3bs2KRv375Z5dq3b5989NFHObV99913Z5X/8MMPU3pkuTn88MMz2m/ZsmXG/2+55ZZk48aNlZZdtmxZctFFF1X6ut9zzz05tb9o0aJk1113zSrftGnT5IorrkjmzZuXUz1jx45NLr/88qRbt25JRCSXXHJJtWW+8Y1vVNruT37yk2Tt2rWVltmwYUNy8803ZzxPm26nnHJKTn396le/mlGuRYsWm7f34uLi5KqrrkrKysoqLVtWVpZcddVVSXFxcVb71157bUHt77LLLjmVW7NmTXLwwQdX+npfeOGFycyZM3Oq55133kmuvvrqzfvRz3/+8zmVq4lC9msjR47MKjdy5MiC2t9ll10y6vnqV79aUD0lJSVZ+6s+ffpk9fPWW28tqP4kSZKHHnqo0tf4tNNOS+bPn19luWeeeSbZaaedssr16tUrWbZsWbXtfvjhh1ll77777oIfR8XnpVevXkmrVq0ylp166qkF119eXp6cdNJJlT5XJ598cjJx4sSc6vnggw+SX/ziF8k+++yTRETSr1+/astU9tlRVFSU/OAHP0jWrFlTaZn169cnN954Y9K8efPNZSo+H4cffng+T0FBCn2d0/y8LPQ4pybGjh2b1e6ee+6Z/Pe//63yM7Yqab5XKh4D5LoNNMZjvrPPPrvS12DSpElVlvn444+TM888M6NMu3btCnrOnnzyyc2Pc8vb/vvvn/z73/+utvym52vfffet9jNk7dq1yaBBg7Laat68efKDH/wgWbJkSbXtvf7668k3vvGNpFWrVtW+1wp9T1U8Hon49Dh6a8eQixYtyngtK+7H8mm/vrbjQt93FRW6X/zFL36RVe7zn/98MnXq1Jzbfuutt5KIT78rfOUrX0kee+yxZPXq1dWWW7t2bfKrX/0qadasWUb7TZo0SWbPnp1z+0D10hkOClDHRo4cmXUaXu/eveOQQw5JrY0WLVrE6aefHn/5y182L1u/fn3cd999lY7Qjfj0lPMxY8ZkzdM6YcKE+NKXvhTNmjWLHXbYIdq2bRsLFy6MxYsXZ6zXvn37uOeee7KmL6g4CqQql19+eUydOjVrRP6kSZPixBNPjJ49e8aRRx4Z++23X3Tq1ClatmwZy5cvj6VLl8a0adNiwoQJMWXKlJxGmKdp8ODB8ZOf/CSuueaajOUjR46Mvn37xtFHHx1HHXVU7LjjjrFx48aYM2dOPPvsszFmzJisU8OLiori9ttvj549e9blQ0jVIYccEtttt108++yzUVZWFpdffnn85je/iS996Uux9957R/v27WPhwoUxbty4ePLJJyudf/HEE0/MmvKoKp06dYqnnnoqhgwZklHXhg0b4v/+7//i1ltvjUMPPTSGDRsWO+20U3To0CHWrl0by5Yti3nz5sVbb70V48ePL2ikzc033xyvvPJKTJ48OaPd6667Lv74xz/GKaecEvvuu2907tw5li5dGlOnTo3HHnus0pFxO++8c8b7NR/dunWLz3/+83HbbbdFeXl5/PznP4877rgjvvSlL8W+++4bnTp1isWLF8fbb78djz32WKXzNx944IFx1VVXFdR+rlq2bBmPP/54DBo0KObMmZNx35133hn33HNPDBw4MA4//PDo1atXdOzYMTZu3BjLli2LhQsXbp579eOPP67Vfm7LunfvHscdd1w8++yzm5e9++67Ges0b948zjrrrILbOOOMM+L555/POpPi0UcfjWeeeSaGDx8eQ4cOjW7dukVZWVl8+OGH8dRTT8XEiROz6mrWrFncd999WXOs14Xzzz8/Y9qVWbNmVbpOoYqKiuK+++6LIUOGxKRJkzLue+KJJ+KJJ56IAQMGxBFHHBG9e/eOTp06RcSn80IvWrQo3n777ZgwYUJBp/Wfd9558fjjj8dTTz21eVmSJHHTTTfFnXfeGaeeemoMGDBg875rypQp8Y9//CNKSko2r//5z38+Pvnkk3jppZcKfAbIxyGHHBJ9+/aNqVOnbl42ffr0OOqoo6JVq1ax0047RevWrbPKPfvss9GjR4+67GpOGuMx39VXXx0PPfRQrF+/fvOy6dOnx/777x/HH398HHXUUbHTTjvFhg0bYt68eTFq1Kj4z3/+kzEa94ILLoj333+/oPfNiSeeGP/7v/8bP/3pTzOWv/XWW3HMMcdE796949hjj4299torunTpEkmSxLJly2L69Onx5ptvxmuvvba579VNY9e8efN45JFH4uCDD4558+ZtXr5u3bq46aab4tZbb43DDz988768Xbt2sXLlyliwYEFMnDgxxowZk/U5Xxt+/etfx8iRIzOm/Vq2bFmcd9558bOf/SxOPfXU6N27d7Rp0yYWLFgQr732Wvzzn//MmIP8hhtuiCuuuKKg9hvjdpyGc889N3784x9n9PuZZ56JZ555Jjp06BA77LBD1lSFPXr0yDj22KSsrCzuv//+uP/++6NVq1ax3377xf777x+9e/eO9u3bR9u2bWPt2rUxf/78mDRpUjz33HOVHsf+8Ic/rPI6UECB6jn0ByjIWWedlTU64Lrrrku9nVGjRmW1U90IuI0bN1Y6aqS6W/v27ZNXXnklWb9+fdZ9v/nNb3Luc3l5efLTn/600lG4hd5qe6T7Jtddd12N+tmsWbPkvvvuy6vNhjjS/fDDD08WL16c7LXXXgU9D0cffXROI10qmj59etK/f//UtptcRronSZIsXLiwytHbud769OmT89kNSVL5SPOysrJk6NChBbW/7777JosWLapR+/mYN29eMmzYsNReKyPd8/PII49s9fk8/fTTC657kw0bNlR5Fkuut3bt2iX/+c9/cm4z7ZHu8+bNS5o2bVpl/7p165Zs2LCh4Po3WbFiRfKlL30ptfdDLiPdkyRJVq9enRx11FEFtbH33nsnS5YsSW20ZT4+qyPdkyRJXnzxxUrPrNvarbLH2BBGuidJ4zzmu/322wvu21FHHZWUlZXV+H1zyy235L0dVLzl+hkye/bsZMCAATV+XWprpHuSJMnMmTMrPUsql9uIESOS8vLyGrVfH9txfY90T5Ikufbaa/N6TBWPFTeNdE/jNmLEiGTdunUFPQdA1czpDjQ6y5Yti8ceeyxr+Ve+8pXU2xo2bFjWiOkpU6bE66+/XmWZ4uLiuOeee+Lvf/971kXeqnLkkUfGG2+8EUOGDKl0DsJ8RigWFRXF//7v/8Z//vOfGDhwYM7lKtOuXbv42te+ljUHZ2255ppr4oEHHihoRFnfvn3j3//+d61sB/WhY8eO8fLLL8fgwYPzKnfBBRfE008/Ha1atcq7zd69e8frr78el19+eWy33XZ5l9/SwIED44QTTshp3S5dusTIkSPj61//et7XZCgqKoqzzjorRo8eXeOzG1q0aBH/+te/4qSTTsqr3Iknnhgvvvji5lG0daFbt27x4osvxk9/+tOs+b/z1adPnzjjjDNS6tlnw4knnrjV1zuNC5Y2adIk/vznP8dvf/vbrAuu5WLQoEHx6quvxtFHH13jvhSqW7duWRcl39K5556b85lcW9O2bdt49NFH449//GPsuOOONaqrZ8+eOb9+rVq1iqeffjouuOCCvNoYMmRIvPzyywW9rtTMUUcdFY8//njssMMO9d2VVDTGY76LL744brvttmjevHle5S644IJ49tlnU7lQ+Xe/+9147rnnsubVzkfXrl1zWm/nnXeO0aNHx7e+9a2C+96uXbusC6mnaffdd4+XXnopDjvssLzKffOb34z7778/ioqKatR+Y9yO03D11VfHz372s7zfC5u0bt062rZtW6M+tGnTJm688cZ44IEHolmzZjWqC6hEfaf+APn6/e9/n/Xr/KGHHlpr7f3oRz/Kau+iiy7KqeyqVauShx56KBkxYkTSt2/fpEOHDknTpk2Tjh07JgMHDky+/e1vJ6NHj84o8/bbb2e19+STTxbc/+eeey45/fTTky5duuQ00mHXXXdNvva1ryWPPPJIQaOl07B69erkl7/8ZXLAAQdUOvfmplvTpk2TIUOGJH/5y18KHi3ZUEe6b7Jx48bkz3/+c6VzRm/5PBx33HEFjwCuTGlpaXLttdcmAwcOzGk0WMuWLZOjjjoq+fnPf55MmTKl4HanTZuWXHDBBZvnha/q1rFjx+TMM89M3nzzzYLaqW6k+SOPPJIcdNBBVbZfVFSUDBkyJPnHP/5RK+3nY+XKlcnNN9+cDBkyJGOu6K1tL4MHD06uueaa5I033ii43XxV7EdjHumeJEly2WWXVfr89ujRI5XR21tasmRJ8uMf/zjZe++9q30fHnPMMQVvl2mPdE+SJHnssceq7O+7775bo7ors3bt2uSOO+5IPve5zyWtW7eu9v1QXFyc7L///smVV16ZjBw5Mqf5gyszatSo5LjjjtvqyP6+ffsmf/nLXzLmDzfSPff9QZrWrFmTPPzww8mFF16YHHzwwUm3bt2S7bbbrtJjjoY80r2ixnTMN3ny5GTEiBFZ80pveWvevHnyxS9+MXn55Zczyqb1nJWXlycPPvhgcvzxx+e0v+jdu3dy2WWXFXzsMXv27OS73/1u0rt372rbat26dTJ8+PDkjjvuSD755JNq607jPVVeXp7ccccdyf7777/VfebRRx+d/Pe//029/U3qYjtuCCPdNyktLU1+//vfJyNGjEj69++fdO7cudLrFlV2rLh27drkhRdeSC6//PLkkEMOyek4MOLTM0Svu+66nK/bBBSmKEkqTIYLQL2644474uKLL85Y9v7778duu+1Wo3qTJImpU6fG9OnTY/HixbF48eIoLy+Ptm3bRvv27WP33XePvffeu8GNvFuwYEGMGzcuFi5cGKWlpdGkSZPo0qVLdOvWLQYNGlQv8xSn7YgjjsiYm/Twww+PUaNGZa03c+bMmDBhQsydOzfKysqic+fOseOOO8ahhx5aq6Osly9fvvk1WLx4cSxfvjxatWoVbdu2jR49esRee+0Vu+22WyojVjdJkiTefvvtmDFjRixcuDCWLVsW7dq1iy5dusSuu+4aAwcOjOLiwk/YO++88+Lee+/d/Pcuu+xS6XzTc+fOjXHjxsWsWbNi1apV0bFjx+jevXscfPDBNR5RWxtWr14d48ePj5KSkli8eHEsW7YsWrRoEW3bto2uXbvGXnvtFXvssUfBo6qofx999FFMnDgxSktLY9GiRdG8efPo2rVr9OjRIwYNGlTpnNSfVevWrdu8z1y0aFEsXbo0mjZtGm3bto3OnTvHnnvuGXvuuWdBZwZVZfHixTFmzJgoKSmJRYsWRcuWLWPnnXeOAw88MHbffffU2oGtaUzHfKtWrYoxY8bEBx98EEuWLImioqLo2LFj9O7dOw466KA6G7G8du3aGDduXMydOzdKS0s3H+tsv/32sdtuu0Xfvn1zPoM1Fx999FFMmjQpSktLY/HixbFx48Zo27Zt7LDDDrHXXnvF3nvvXa+f1TNnzoyJEydGSUlJrFy5Mtq2bRu77bZbDBo0KDp37lwnfWhM23FDsXbt2pg5c2a8//77m1+7tWvXRuvWrWP77bePXr16bb7eCFD7hO4ADczJJ58cTz755Oa/O3fuXNAFKmk8cg3dSU+uoTsAAADky5zuAA3ItGnT4umnn85YNnTo0HrqDQAAAAD5EroDNBBr166Nr3zlK1FeXp6xvOJUMwAAAAA0XEJ3gJT9/ve/jzfeeCOvMiUlJXH00UfHm2++mbG8d+/ecdxxx6XZPQAAAABqkdAdIGX//Oc/45BDDon9998/rrvuuhgzZkysXLkya72ysrJ45ZVX4rLLLos999wzRo8enXF/cXFx/OUvf4mioqK66joAAAAANdS0vjsAsK2aOHFiTJw4Ma699tooKiqKLl26RPv27aNJkyaxbNmyKC0tjQ0bNlRZ/rrrrothw4bVYY8BAAAAqCmhO0AdSJIkFi5cGAsXLqx23aZNm8bvfve7+PrXv14HPQMAAAAgTaaXAUjZ5z73uejWrVve5YqLi+O0006L8ePHC9wBAAAAGikj3QFSdsUVV8Tll18e48ePj1dffTXGjx8fH3zwQcyZMydWrFgRa9asiRYtWkTHjh2jY8eOsc8++8SwYcPimGOOiV133bW+uw8AAABADRQlSZLUdycAAAAAAGBbYHoZAAAAAABIidAdAAAAAABSYk73z7iSkpL67gIAAAAAQMF69OhR313IYKQ7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApKRpfXegoVu8eHE89NBDMWnSpFi5cmV06NAhDjrooDjttNOiTZs2dVbPH//4xxg5cmRERNx6663RrVu3gh8TAAAAAAC1Q+i+FfPnz4+rr746li9fHgMHDowdd9wxZs6cGc8++2xMnDgxbrjhhmjbtm2t1zN+/PgYOXJktGzZMsrKytJ8iAAAAAAApEjovhV33nlnLF++PM4///wYPnz45uX33ntvPPPMM/HAAw/ExRdfXKv1rFixIm6//fYYPHhwLFu2LKZOnVrzBwYAAAAAQK0wp3sVFixYEJMmTYouXbrEcccdl3HfGWecES1atIhXXnml2pHnNa3n9ttvj4iICy+8sAaPBgAAAACAuiB0r8LkyZMjImLAgAFRXJz5NLVq1Sr23nvvWLt2bcyYMaPW6hk1alSMGzcuLrroopymsQEAAAAAoH6ZXqYKJSUlERHRvXv3Su/v1q1bTJo0KebNmxf77LNP6vWUlpbG3XffHUOHDo2DDz640IcRP/jBDypdftNNNxVcJwAAAAAAlTPSvQqrV6+OiIjWrVtXev+m5atWrUq9nvLy8vjDH/4QLVu2jPPPPz+/jgMAAAAAUG+MdC9QkiQREVFUVJR6Pc8880xMnTo1fvjDH0abNm1qVL8R7QAAAAAAdcdI9ypsGoG+aaR6RWvWrMlYL6165s2bFw8++GAcccQRccABB+TfcQAAAAAA6o2R7lXo0aNHRHwagldm/vz5EVH1XO2F1jNnzpxYv359jBo1KkaNGlVpmcsuuywiIq644ooazfcOAAAAAEC6hO5V6NevX0RETJo0KcrLy6O4+P+dFLBmzZqYNm1aNG/ePHr37p1qPV27do2jjjqq0rrefPPNWLZsWQwaNChat24dXbt2rdFjBAAAAAAgXUL3KnTr1i0GDBgQkyZNiueffz6GDx+++b6HH3441q5dG5/73OeiZcuWERGxYcOGWLBgQTRp0iS6detWcD29evWKr3/965X26dprr41ly5bFWWedldEGAAAAAAANg9B9Ky688MK4+uqr4+6774533nkndtppp5gxY0ZMmTIlunfvHmeeeebmdZcsWRLf/e53o0uXLvGHP/yh4HoAAAAAAGi8hO5b0a1bt7jxxhvj4YcfjokTJ8Zbb70VHTp0iOHDh8fpp58ebdq0qdN6AAAAAABo2IqSJEnquxPUn5KSkvruAgAAAABAwXr06FHfXchQXP0qAAAAAABALoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqE7gAAAAAAkBKhOwAAAAAApEToDgAAAAAAKRG6AwAAAABASoTuAAAAAACQEqE7AAAAAACkROgOAAAAAAApEboDAAAAAEBKhO4AAAAAAJASoTsAAAAAAKSkaX13oKFbvHhxPPTQQzFp0qRYuXJldOjQIQ466KA47bTTok2bNrVSz7x58+L111+PSZMmxfz582PZsmXRpk2b6N27d5xwwgnRv3//tB8mAAAAAAApKEqSJKnvTjRU8+fPj6uvvjqWL18eAwcOjB133DFmzpwZU6ZMiR49esQNN9wQbdu2Tb2e3/zmNzFmzJjYaaedYu+99442bdpESUlJjB8/PsrLy+O8886LE044IZXHWFJSkko9AAAAAAD1oUePHvXdhQxGum/FnXfeGcuXL4/zzz8/hg8fvnn5vffeG88880w88MADcfHFF6dez3777RcnnXRS7Lrrrhn1TJ06NW644Ya477774tBDD40OHTqk8CgBAAAAAEiLOd2rsGDBgpg0aVJ06dIljjvuuIz7zjjjjGjRokW88sorUVZWlno9RxxxRFbgHhHRt2/f6NevX2zYsCHee++9Gjw6AAAAAABqg9C9CpMnT46IiAEDBkRxcebT1KpVq9h7771j7dq1MWPGjDqpZ5MmTZpk/AsAAAAAQMMhdK/CprnOu3fvXun93bp1i4hPL3paF/VERJSWlsbkyZOjRYsW0adPn2rXBwAAAACgbpnTvQqrV6+OiIjWrVtXev+m5atWraqTetavXx+33nprrF+/Ps4+++xo06bNVtff5Ac/+EGly2+66aacygMAAAAAkDsj3QuUJElERBQVFdV6PeXl5fG73/0u3nvvvRg8eHB88YtfrFGbAAAAAADUDiPdq7BpBPqmkeoVrVmzJmO92qqnvLw8br311hg7dmwceuih8a1vfSuvoN+IdgAAAACAuiN0r0KPHj0iouq51ufPnx8RVc/VnkY9GzdujN/+9rcxduzYGDJkSFx66aVZF2MFAAAAAKDhELpXoV+/fhERMWnSpCgvL88Iu9esWRPTpk2L5s2bR+/evWulng0bNsQtt9wS48ePj2HDhsU3v/lNgTsAAAAAQAMnxa1Ct27dYsCAAVFaWhrPP/98xn0PP/xwrF27NoYNGxYtW7aMiE9D8o8//njzyPVC64n49KKpv/rVr2L8+PFx1FFHCdwBAAAAABqJomTTlTzJMn/+/Lj66qtj+fLlMXDgwNhpp51ixowZMWXKlOjevXv89Kc/jbZt20ZExMKFC+PSSy+NLl26xB/+8IeC64mIuO2222LUqFHRtm3bOO644yrtW79+/TaPoq+JkpKSGtcBAAAAAFBfNk3x3VCYXmYrunXrFjfeeGM8/PDDMXHixHjrrbeiQ4cOMXz48Dj99NOjTZs2tVLPwoULIyJi5cqV8eijj1ZZbxqhOwAAAAAA6THS/TPOSHcAAAAAoDHbpke6T506NSIievbsmfMo8IiIVatWxUcffRQREX379k2zSwAAAAAAUGdSDd2vu+66iIi48sorY+DAgTmXmzFjRtx4441RVFQUDz74YJpdAgAAAACAOlNc3x3YkpluAAAAAABozBpU6F5UVFTfXQAAAAAAgII1iNB9xYoVERHRokWLeu4JAAAAAAAUrt5D9/Xr18dLL70UERFdu3at594AAAAAAEDhCr6Q6qhRozaH5RU9+OCD8cwzz1RbR1lZWZSUlERZWVlERPTv37/Q7gAAAAAAQL0rOHQvLS2NqVOnVnrfnDlz8q6vXbt28cUvfrHQ7gAAAAAAQL0rOHRPQ8uWLaNr166xzz77xBe+8IXo2LFjfXYHAAAAAABqpChJkiStykaMGBEREVdeeWUMHDgwrWqpRSUlJfXdBQAAAACAgvXo0aO+u5Ch3i+kCgAAAAAA24pUR7rT+BjpDgAAAAA0Zka6AwAAAADANkroDgAAAAAAKWlaWxW///77MWnSpJg7d26sWrUq1q1bV22ZoqKiuOaaa2qrSwAAAAAAUKtSD90XLVoUv//97+Pdd99Nu2oAAAAAAGjQUg3dV61aFT/5yU9i0aJFaVYLAAAAAACNQqqh+5NPPrk5cO/atWuccsop0b9//+jYsWM0bVprM9kAAAAAAECDkGoSPmHChIiI6Ny5c9x4443Rpk2bNKsHAAAAAIAGrTjNyhYuXBgREccee6zAHQAAAACAz5xUQ/dNU8jssMMOaVYLAAAAAACNQqqhe7du3SIi4pNPPkmzWgAAAAAAaBRSDd0PPfTQiIiYOHFimtUCAAAAAECjkGrofvzxx8eOO+4Y48aNi7feeivNqgEAAAAAoMFLNXRv3rx5/PCHP4wePXrE//3f/8Vjjz0Wq1evTrMJAAAAAABosIqSJEnSquy6666LiIjVq1fHrFmzIiKiuLg4evToEW3bto2ioqKtd6aoKK655pq0ukMOSkpK6rsLAAAAAAAF69GjR313IUPTNCubOnVq1rLy8vKYO3dums0AAAAAAECDlOr0MgAAAAAA8FmW6vQyND6mlwEAAAAAGrOGNr2Mke4AAAAAAJASoTsAAAAAAKRE6A4AAAAAACkRugMAAAAAQEqaplnZo48+WuM6TjvttBR6AgAAAAAAdS/V0P2RRx6pcR1CdwAAAAAAGivTywAAAAAAQEpSHen+k5/8pNp1ysvLY+XKlTFjxox4+eWXY+XKlXHYYYfF5z73uTS7AgAAAAAAda4oSZKkvhpfvXp1/OY3v4lJkybF6aefbmqZelBSUlLfXQAAAAAAKFiPHj3quwsZ6nV6mdatW8f3vve96NixYzz66KMxffr0+uwOAAAAAADUSL3P6d6iRYs44ogjIkmSeO655+q7OwAAAAAAULB6D90jInbeeeeIiJg2bVo99wQAAAAAAArXIEL3DRs2RETE8uXL67knAAAAAABQuAYRuk+cODEiPp3jHQAAAAAAGqt6D92fe+65GD16dERE9O7du557AwAAAAAAhWuaZmWPPvpoTutt2LAhlixZElOnTo3S0tLNy48//vg0uwMAAAAAAHUq1dD9kUceKbjsaaedFvvuu2+KvQEAAAAAgLqVauied+NNm0b//v3ji1/8YvTv378+uwIAAAAAADVWlCRJklZlU6dOzWm9pk2bxnbbbRfdunWLJk2apNU8BSgpKanvLgAAAAAAFKxHjx713YUMqY5079u3b5rVAQAAAABAo1Jc3x0AAAAAAIBthdAdAAAAAABSUqsXUk2SJD744IOYMWNGLFu2LNasWROtWrWKDh06xB577BG77bZbFBUV1WYXAAAAAACgztRa6P7CCy/EU089FaWlpVWu06VLlzjxxBPj2GOPra1uAAAAAABAnSlKkiRJs8J169bF//3f/8WkSZNyLrPffvvFFVdcEc2aNUuzK+SgpKSkvrsAAAAAAFCwHj161HcXMqQeuv/617+OsWPHbv67f//+MWDAgOjevXu0bNkyysrKYt68efH222/H5MmTY1Pzhx56aHznO99JsyvkQOgOAAAAADRmDS10T3V6mcmTJ28O3Lt27Rrf/va3Y4899qh03RNPPDHef//9+O1vfxsLFiyI1157LY455pjo169fml0CAAAAAIA6U5xmZS+99FJERLRq1Sp+8pOfVBm4b7L77rvHNddcE61atYqIiJEjR6bZHQAAAAAAqFOphu7Tpk2LiIijjjoqOnfunFOZzp07x1FHHRUREe+9916a3QEAAAAAgDqVaui+bNmyiIjYbbfd8iq3af1N5QEAAAAAoDFKNXQvLv60uvLy8rzKbVp/U3kAAAAAAGiMUk25O3ToEBER06dPz6vcpvXbt2+fZncAAAAAAKBOpRq69+3bNyI+vaBqSUlJTmVKSko2X4B1U3kAAAAAAGiMUg3dN10Qdd26dXHdddfFpEmTtrr+22+/Hddff32sW7cuIiKOPvroNLsDAAAAAAB1qihJkiTNCm+//fb473//u/nvnj17xoABA6J79+7RokWLWLt2bcybNy/eeeedmDVr1ub1jj766Lj44ovT7Ao5yPWMBAAAAACAhqhHjx713YUMTdOu8KKLLoqysrIYM2ZMRETMnj07Zs+evdUyhx12WHzta19LuysAAAAAAFCnUh/pvsmYMWPiySefzBjNXtGuu+4aJ510Uhx66KG10QVyYKQ7AAAAANCYNbSR7rUWum9SWloaM2fOjKVLl0ZZWVm0bNkyOnToEHvssUd06dKlNpsmB0J3AAAAAKAxa2ihe+rTy1TUpUsX4ToAAAAAAJ8JxfXdAQAAAAAA2FYI3QEAAAAAICWphu5z586NESNGxJe//OUYN25cTmXGjx8fI0aMiDPPPDPmz5+fZncAAAAAAKBOpRq6v/rqqxER0bFjxzjooINyKjNw4MDo3LlzlJeXby4PAAAAAACNUaqh+7vvvhsREQcccEBe5Q488MCIiJgyZUqa3QEAAAAAgDqVauj+8ccfR0REr1698iq3yy67ZJQHAAAAAIDGKNXQfdWqVRER0bZt27zKbbfddhnlAQAAAACgMUo1dG/ZsmVERKxZsyavcpvWb9q0aZrdAQAAAACAOpVq6N6+ffuIiJg5c2Ze5d5///2IiNh+++3T7A4AAAAAANSpVEP3Pn36RETE6NGjc54q5pNPPonRo0dHRMRee+2VZncAAAAAAKBOpRq6Dx48OCIiVq9eHb/5zW9i3bp1W11/3bp18dvf/jZWr14dERGHHXZYmt0BAAAAAIA6lWro3r9//+jfv39ERLz99ttx5ZVXxssvv5w16n3VqlXx8ssvx/e///14++23IyKib9++sd9++6XZHQAAAAAAqFNFSZIkaVa4YsWKuOqqq6K0tPT/NVJUFNtvv320bNkyysrKYvny5bFls127do2f/exn0a5duzS7Qg5KSkrquwsAAAAAAAXr0aNHfXchQ+qhe8Snwfsf/vCHmDhxYrXr7r///nHJJZdE27Zt0+4GORC6AwAAAACN2WcidN9k+vTp8corr8S0adNiyZIlsXr16mjdunV07Ngx+vTpE0OHDo3evXvXVvPkQOgOAAAAADRmn6nQnYZP6A4AAAAANGYNLXRP9UKqAAAAAADwWSZ0BwAAAACAlAjdAQAAAAAgJUJ3AAAAAABIidAdAAAAAABSInQHAAAAAICUCN0BAAAAACAlQncAAAAAAEiJ0B0AAAAAAFIidAcAAAAAgJQ0TbOyRYsWRUREu3btonnz5jmXW79+fSxfvjwiIjp37pxmlwAAAAAAoM6kOtL9kksuiUsvvTTefvvtvMpNmTJlc1kAAAAAAGisUp9eJkmSeikLAAAAAAD1zZzuAAAAAACQkgYRuq9evToiIlq0aFHPPQEAAAAAgMI1iND99ddfj4iITp061XNPAAAAAACgcE0LLThu3LgYN25cpff961//ijfeeKPaOsrKyuKjjz6K+fPnR0REnz59Cu0OAAAAAADUu4JD91mzZsVLL71U6X2TJ0/Ou77mzZvHF77whUK7AwAAAAAA9a7g0D0trVu3jn79+sVpp50WPXr0qO/uAAAAAABAwYqSJEkKKbh69epYtWrV5r+TJIlvfetbERFx8cUXx7777rv1houKomXLltGmTZtCmiclJSUl9d0FAAAAAICCNbTB3AWPdG/dunW0bt260vu233776NKlS8GdakgWL14cDz30UEyaNClWrlwZHTp0iIMOOihOO+20vH4wKKSe9957Lx577LGYPn16rF+/Prp16xZHHnlkDB8+PIqLG8Q1cAEAAAAA2ELBI90rU1paGhGfhu7NmzdPq9p6M3/+/Lj66qtj+fLlMXDgwNhxxx1j5syZMWXKlOjRo0fccMMN0bZt21qpZ9y4cXHzzTdHs2bNYvDgwdGmTZuYMGFClJSUxKBBg+Lyyy9P5TEa6Q4AAAAANGbbzEj3ymwro9s3ufPOO2P58uVx/vnnx/Dhwzcvv/fee+OZZ56JBx54IC6++OLU61m9enXcfvvtUVxcHNdee23svvvuERExYsSIuP7662Ps2LExevToOOyww1J8tAAAAAAA1JQ5SqqwYMGCmDRpUnTp0iWOO+64jPvOOOOMaNGiRbzyyitRVlaWej1jx46NFStWxODBgzcH7hERzZs3jy9/+csREfHCCy/U9CECAAAAAJCyVEe6b2nZsmXxzjvvxNy5c2PVqlWxbt26assUFRXFN77xjdrqUl4mT54cEREDBgzImj+9VatWsffee8ekSZNixowZsc8++6Raz6Yy++23X1Z9ffr0iRYtWmye571Zs2YFP0YAAAAAANKVeui+atWquOeee+LVV1+N8vLyvMs3lNB901zn3bt3r/T+bt26xaRJk2LevHlbDd0LqWfevHkRUflcRE2aNImuXbvGnDlzYsGCBbHTTjtt9XH84Ac/qHT5TTfdtNVyAAAAAADkL9XQfd26dXH99dfHrFmz0qy2XqxevToiIlq3bl3p/ZuWr1q1KvV6ci2zaT0AAAAAABqGVEP3Z599dnPg3rp16zjuuOOif//+0bFjx21uGpQkSSLi0ylx6rqeTWVyYUQ7AAAAAEDdSTV0f+211yIiom3btvHzn/88unbtmmb1daq60eRr1qzJWC/NetJqGwAAAACAulVc/Sq5mz9/fkREHHfccY06cI/4f/Opb5pfvaJNj7WqudprUs+m/2+aD35LGzdujIULF0aTJk1ihx122GrbAAAAAADUrVRD902qu7hnY9CvX7+IiJg0aVLWBWHXrFkT06ZNi+bNm0fv3r1Tr6d///4RETFx4sSs+t59991Yu3Zt7LnnntvclD0AAAAAAI1dqqF7ly5dIiKirKwszWrrRbdu3WLAgAFRWloazz//fMZ9Dz/8cKxduzaGDRsWLVu2jIiIDRs2xMcff7x55Hqh9UREDBo0KNq2bRtjxoyJ999/f/PydevWxYMPPhgREccee2yqjxcAAAAAgJorSvK5Kmc1Hn744fjHP/4RQ4cOjUsvvTStauvN/Pnz4+qrr47ly5fHwIEDY6eddooZM2bElClTonv37vHTn/402rZtGxERCxcujEsvvTS6dOkSf/jDHwquZ5M33ngjbrnllmjWrFkcdthh0aZNmxg/fnyUlJTEoEGD4rvf/W6NL+IaUfkUNgAAAAAAjcWmKb4bilRD95UrV8aVV14ZK1asiBtuuCF23333tKquN4sWLYqHH344Jk6cGCtXrowOHTrEQQcdFKeffnq0adNm83pbC93zqWdL06ZNi8cffzymT58e69ati27dusWRRx4ZJ5xwQhQXp3OSgtAdAAAAAGjMtunQPSLigw8+iBtvvDE2btwYF1xwQRx22GGpjMimdgjdAQAAAIDGbJsO3W+77baIiFi8eHFMnjw5IiLatWsXu+++e7Rt27ba8L2oqCi+8Y1vpNUdciB0BwAAAAAas206dB8xYkSN63jooYdS6Am5EroDAAAAAI1ZQwvd05kYHAAAAAAASHeke2lpaY3r6NKlSwo9IVdGugMAAAAAjVlDG+neNM3KBOYAAAAAAHyWmV4GAAAAAABSInQHAAAAAICUpDq9TEUbNmyI6dOnx8cffxyrVq2KDRs2xGmnnVabTQIAAAAAQL2pldB93bp18eijj8a///3vWL16dcZ9FUP3++67L8aNGxedOnWKa665pja6AwAAAAAAdSL16WWWLVsWP/rRj+LJJ5/MCtwrM2jQoJg/f35MmTIlZs6cmXZ3AAAAAACgzqQauidJEr/61a9i7ty5ERGx9957x0UXXRRf+tKXqiyzxx57xA477BAREW+++Waa3QEAAAAAgDqV6vQyo0eP3jxa/ZRTTokvf/nLERExbty4rZbr379/LFiwIGbMmJFmdwAAAAAAoE6lOtJ9zJgxERGx++67bw7cc9GzZ8+IiPj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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 400,
       "width": 750
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "objects = ['0','0-5','6-10','11-15','16-20','21-25','26-35',\n",
    "          '36-45', '46-55','56-65','66-75','75+']\n",
    "\n",
    "plt.figure(figsize=(12,6))\n",
    "casualties.Age_Band_of_Casualty.hist(bins = 11,alpha=0.5,rwidth=0.90, color= 'red',)\n",
    "plt.title('Age of people involved in the accidents', fontsize = 25)\n",
    "plt.grid(False)\n",
    "y_pos = np.arange(len(objects))\n",
    "plt.xticks(y_pos , objects)\n",
    "plt.ylabel('Accident count' , fontsize = 15)\n",
    "plt.xlabel('Age of Drivers', fontsize = 15,)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "6ef96ceff3694498d0e12ed5c214519e3a9f56f3",
    "id": "_BICj-GqclgQ"
   },
   "source": [
    "This is very interesting fact about this dataset. Most of the drivers age is around 225 to 35 who are involved in the accident. However, we do not know the number of drivers with age 25 to 35 on the road compare to other ages. Intutively, I would assume that the driver with age 25 to 35 are more in the number of drivers with different age."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "_uuid": "465462cdac777a4ba6b1351808a1f81eb7658fca",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 670
    },
    "id": "Z8UJfVQiclgQ",
    "outputId": "a109f3f0-8c8b-457f-c59a-4c23605c019b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x15b15593ca0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 449,
       "width": 636
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "speed_zone_accidents = accidents.loc[accidents['Speed_limit'].isin(['20' ,'30' ,'40' ,'50' ,'60' ,'70'])]\n",
    "speed = speed_zone_accidents.Speed_limit.value_counts()\n",
    "\n",
    "explode = [0.0] * len(speed)\n",
    "plt.figure(figsize=(10,8))\n",
    "plt.pie(speed.values, labels=None, autopct='%.1f', pctdistance=0.8, labeldistance=1.9, \n",
    "        explode=explode, shadow=False, startangle=160, textprops={'fontsize': 15})\n",
    "plt.axis('equal')\n",
    "plt.legend(speed.index, bbox_to_anchor=(1,0.7), loc=\"center right\", fontsize=15, \n",
    "           bbox_transform=plt.gcf().transFigure)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "510d4d4fcf5618e3db3fea5fcd125dbe07d06d5d",
    "id": "GJAuUhE9clgR"
   },
   "source": [
    "Most of the accidents occured on the road where the speed limit is 30. I was expecting more accidents on highway or major roadways. Some of the accidents could be cause of stop sign, changing lanes or turning into parking lot etc."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "cbbb531cc52aea344a7f0e34f7158feedcfecf05",
    "id": "IApcWfaCclgR"
   },
   "source": [
    "## Co-relation between variables\n",
    "\n",
    "Since our dataset is in numeric values. We can findout correlation between columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "_uuid": "741ba44e0e1154e24ae0b8a0d9ed2e42710bb5f5",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "ytYA-3SXclgR",
    "outputId": "ada8c542-7b10-4642-fdbb-f50de92ca2e5"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 741,
       "width": 1252
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr =  accidents.corr()\n",
    "plt.subplots(figsize=(20,9))\n",
    "sns.heatmap(corr)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "ebfdadae90f44fd7783071d7c895e3d492a0142e",
    "id": "4r0dhrbVclgS"
   },
   "source": [
    "As we see that there is not so much strong correlations between any variables. I was expecting weather condition to be strong correlation with any of the variable. \n",
    "- There is only one postiive strong correlation between speed limit and Urban or Rural Area. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "_uuid": "996760b6548e85fa80d61fee849647190aa946de",
    "id": "dbnG9jaXclgS"
   },
   "outputs": [],
   "source": [
    "accidents_2014 = accidents[accidents.Date_time.dt.year ==2014]\n",
    "accidents_2014_01 = accidents_2014[accidents_2014.Accident_Severity == 1]\n",
    "accidents_2014_02 = accidents_2014[accidents_2014.Accident_Severity == 2]\n",
    "accidents_2014_03 = accidents_2014[accidents_2014.Accident_Severity == 3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "a8e320ab1318e7bb3a0bd1a64d3389dd9227ad22",
    "id": "GjxRg5FFclgS"
   },
   "source": [
    "As we can see that most of fatal accidents happened locally within cities instead on highways. It could be the reason of the traffic is more congested locally than on highways."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "525e94433411de32b1c6b52f778abf07bc1f7883",
    "id": "2bfy5NvUclgS"
   },
   "source": [
    "## Machine Learning\n",
    "\n",
    "We will be looking at different columns to figure out predicting about the accidents severity. After we can predict the accident severity, we can make some recommendation to law enforcement for looking into this and be prepared for the future. We can also have more emergency medical services available for those situations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "_uuid": "5626d86298cd35b6ce5367d1331a9dbf279b96fd",
    "id": "6uu0rpdxclgT"
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.svm import SVC, LinearSVC\n",
    "from sklearn.metrics import log_loss"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "6f440c02334d1e37d67a6b246effd17d4425de10",
    "id": "TVwBg5X5clgT"
   },
   "source": [
    "## Normalize the Data\n",
    "There are few columns that we will standarize, so it would not effect negatively on our machine learning algorithms. Age of driver is from 18 to 88 in the dataset and we can normalize it. Also, the age of vehicle is also from 0 to 100 and it can skew the performance of your machine learning algorithm and we will normalize this predictor too."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "_uuid": "baabdc534c038c27b30123553e6b2ac2680879d4",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 904
    },
    "id": "4xTWJCYfclgT",
    "outputId": "1a625c55-1667-49de-9ace-3974891dd488"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 264,
       "width": 400
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 264,
       "width": 394
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(accidents['Age_of_Driver']);\n",
    "fig = plt.figure()\n",
    "sns.distplot(accidents['Age_of_Vehicle']);\n",
    "fig = plt.figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "_uuid": "ac0701bcf6d5d46bc1804ca6a2065ffad1e574aa",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 904
    },
    "id": "iQ6-ys5eclgT",
    "outputId": "1e04933b-c394-43f4-df7d-af4bd098d65b"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 264,
       "width": 388
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 264,
       "width": 394
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "accidents['Age_of_Driver'] = np.log(accidents['Age_of_Driver'])\n",
    "accidents['Age_of_Vehicle'] = np.log(accidents['Age_of_Vehicle'])\n",
    "sns.distplot(accidents['Age_of_Driver']);\n",
    "fig = plt.figure()\n",
    "sns.distplot(accidents['Age_of_Vehicle']);\n",
    "fig = plt.figure()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "8996af4753d28de07eb8b80690cf813b526ffa8e",
    "id": "KKRFtb6_clgU"
   },
   "source": [
    "## Spliting the data into training data and test data\n",
    "We will also consider few features as predictors for machine learning algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "_uuid": "4ff41e45b4ddcfbf1dc8e3741e5db4e4bd0188c6",
    "id": "qmWPMbbOclgU"
   },
   "outputs": [],
   "source": [
    "accident_ml = accidents.drop('Accident_Severity' ,axis=1)\n",
    "accident_ml = accident_ml[['Did_Police_Officer_Attend_Scene_of_Accident' , 'Age_of_Driver' ,'Vehicle_Type', 'Age_of_Vehicle','Engine_Capacity_(CC)','Day_of_Week' , 'Weather_Conditions' , 'Road_Surface_Conditions'\n",
    "                          , 'Light_Conditions', 'Sex_of_Driver' ,'Speed_limit']]\n",
    "\n",
    "accident_ml.head()\n",
    "\n",
    "# Split the data into a training and test set.\n",
    "X_train, X_test, y_train, y_test = train_test_split(accident_ml.values, \n",
    "                                              accidents['Accident_Severity'].values,test_size=0.20, random_state=99)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "e88f3ee992a1e169244b33a4fd38968ed3b54433",
    "id": "C9-XyDP1clgU"
   },
   "source": [
    "## Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "_uuid": "ddd13f370e56bbde94e945aa600b6feaedf3ffeb",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 348
    },
    "id": "H2-1Hc89clgV",
    "outputId": "3771893b-0784-4b80-fea7-7b065b082c95"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 91.67\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           2   0.000000  0.000000  0.000000         1\n",
      "           3   0.916667  1.000000  0.956522        11\n",
      "\n",
      "    accuracy                       0.916667        12\n",
      "   macro avg   0.458333  0.500000  0.478261        12\n",
      "weighted avg   0.840278  0.916667  0.876812        12\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Predicted</th>\n",
       "      <th>3</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Actual</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Predicted   3  All\n",
       "Actual            \n",
       "2           1    1\n",
       "3          11   11\n",
       "All        12   12"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random_forest = RandomForestClassifier(n_estimators=200)\n",
    "random_forest.fit(X_train,y_train)\n",
    "Y_pred = random_forest.predict(X_test)\n",
    "random_forest.score(X_test, y_test)\n",
    "acc_random_forest1 = round(random_forest.score(X_test, y_test) * 100, 2)\n",
    "\n",
    "sk_report = classification_report(\n",
    "    digits=6,\n",
    "    y_true=y_test, \n",
    "    y_pred=Y_pred)\n",
    "print(\"Accuracy\" , acc_random_forest1)\n",
    "print(sk_report)\n",
    "pd.crosstab(y_test, Y_pred, rownames=['Actual'], colnames=['Predicted'], margins=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "ae20ccb692186d35f9f574b66c3265025d25e13c",
    "id": "jtxv5NyFclgV"
   },
   "source": [
    "## Logistic Regression "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "_uuid": "96978ce02fb5095b38972f85042ec4e66dce8d38",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 348
    },
    "id": "ObqKCrUrclgV",
    "outputId": "e1aaf4d6-6573-4a8f-cdc2-42f9e0bc65e2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 91.67\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           2   0.000000  0.000000  0.000000         1\n",
      "           3   0.916667  1.000000  0.956522        11\n",
      "\n",
      "    accuracy                       0.916667        12\n",
      "   macro avg   0.458333  0.500000  0.478261        12\n",
      "weighted avg   0.840278  0.916667  0.876812        12\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Predicted</th>\n",
       "      <th>3</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Actual</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Predicted   3  All\n",
       "Actual            \n",
       "2           1    1\n",
       "3          11   11\n",
       "All        12   12"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr = LogisticRegression()\n",
    "# Fit the model on the trainng data.\n",
    "lr.fit(X_train, y_train)\n",
    "y_pred = lr.predict(X_test)\n",
    "sk_report = classification_report(\n",
    "    digits=6,\n",
    "    y_true=y_test, \n",
    "    y_pred=y_pred)\n",
    "print(\"Accuracy\", round(accuracy_score(y_pred, y_test)*100,2))\n",
    "print(sk_report)\n",
    "pd.crosstab(y_test, y_pred, rownames=['Actual'], colnames=['Predicted'], margins=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "714781275052e5512f4f6fb654fc006c322fde65",
    "id": "XPGs7J7DclgW"
   },
   "source": [
    "## Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "_uuid": "b66350c57786ddac65f80ec4682ee28bf68250cb",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 348
    },
    "id": "WQ0ntFOfclgW",
    "outputId": "ccb35c4d-1573-44e5-df2d-c580ef3d40b4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 83.33\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           2   0.000000  0.000000  0.000000         1\n",
      "           3   0.909091  0.909091  0.909091        11\n",
      "\n",
      "    accuracy                       0.833333        12\n",
      "   macro avg   0.454545  0.454545  0.454545        12\n",
      "weighted avg   0.833333  0.833333  0.833333        12\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Predicted</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Actual</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Predicted  2   3  All\n",
       "Actual               \n",
       "2          0   1    1\n",
       "3          1  10   11\n",
       "All        1  11   12"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decision_tree = DecisionTreeClassifier()\n",
    "decision_tree.fit(X_train, y_train)\n",
    "Y_pred = decision_tree.predict(X_test)\n",
    "acc_decision_tree1 = round(decision_tree.score(X_test, y_test) * 100, 2)\n",
    "sk_report = classification_report(\n",
    "    digits=6,\n",
    "    y_true=y_test, \n",
    "    y_pred=Y_pred)\n",
    "print(\"Accuracy\", acc_decision_tree1)\n",
    "print(sk_report)\n",
    "### Confusion Matrix \n",
    "pd.crosstab(y_test, Y_pred, rownames=['Actual'], colnames=['Predicted'], margins=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "be6bd6b139f10cbf1434aee4f3ecb7e58ac14fee",
    "id": "6uB4kUfBclgX"
   },
   "source": [
    "As we can see that Logistic regression did pretty well in terms of number. If we look carefully at the confusion matrix. We can definitely tell that Decision tree algorithm did much better. It predicted more fatal and serious injuries as true positive. The accuracy score is lower compare to another algorithm because other algorithm predicted majority of slightly accidents and those numbers are really high overall in the dataset. Confusion matrix helps us to understand what algorithm actually worked better in terms of looking at all different prediction of each class."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "20e2285ebc104e46ead88fdf348d3c729106999f",
    "id": "oraBXLSzclgX"
   },
   "source": [
    "# Hyperparameters tuning for the models\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "5bdaee73e2ed61b9649792f057c9fc05e2b30108",
    "id": "s6QkxN8VclgX"
   },
   "source": [
    "### Logistic Regression with Hyperparameter tuning\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "_uuid": "422c67476c024b857edf2ba9cffb4108bba4d4e9",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 348
    },
    "id": "i3bPqxqLclgX",
    "outputId": "6e6bfaeb-7021-4f48-c3c7-12ecef822ae8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 91.67\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           2   0.000000  0.000000  0.000000         1\n",
      "           3   0.916667  1.000000  0.956522        11\n",
      "\n",
      "    accuracy                       0.916667        12\n",
      "   macro avg   0.458333  0.500000  0.478261        12\n",
      "weighted avg   0.840278  0.916667  0.876812        12\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Predicted</th>\n",
       "      <th>3</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Actual</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Predicted   3  All\n",
       "Actual            \n",
       "2           1    1\n",
       "3          11   11\n",
       "All        12   12"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegressionCV\n",
    "lr = LogisticRegressionCV(cv=3, random_state=0,multi_class='multinomial')\n",
    "# Fit the model on the trainng data.\n",
    "lr.fit(X_train, y_train)\n",
    "y_pred = lr.predict(X_test)\n",
    "sk_report = classification_report(\n",
    "    digits=6,\n",
    "    y_true=y_test, \n",
    "    y_pred=y_pred)\n",
    "print(\"Accuracy\", round(accuracy_score(y_pred, y_test)*100,2))\n",
    "print(sk_report)\n",
    "pd.crosstab(y_test, y_pred, rownames=['Actual'], colnames=['Predicted'], margins=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "95f441cfef4974bc8a44bdbf07d7b8a85bc362ad",
    "id": "R6qFdDAkclgY"
   },
   "source": [
    "As we can see that Logistic regression still didn't predict two classes of accident severity out of 3. Even though it is showing the 86.2% accuracy. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "5365138a8ce876cd45b43a05281cdb863424bad8",
    "id": "iUVNCEqfclgY"
   },
   "source": [
    "### Decision Tree hyperparameters tuning\n",
    "\n",
    "All we are going to do is find the best values for mininum sample leaf and maximum features to get the best score."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "_uuid": "c87f509414eac285236e01fca0ecd8a99d2bdbf8",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 348
    },
    "id": "Gr_eZou_clgY",
    "outputId": "8d114d9d-b7ff-4c4a-f783-f6f746de7f7c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 91.67\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           2   0.000000  0.000000  0.000000         1\n",
      "           3   0.916667  1.000000  0.956522        11\n",
      "\n",
      "    accuracy                       0.916667        12\n",
      "   macro avg   0.458333  0.500000  0.478261        12\n",
      "weighted avg   0.840278  0.916667  0.876812        12\n",
      "\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Predicted</th>\n",
       "      <th>3</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Actual</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
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       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
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      "text/plain": [
       "Predicted   3  All\n",
       "Actual            \n",
       "2           1    1\n",
       "3          11   11\n",
       "All        12   12"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decision_tree = DecisionTreeClassifier(min_samples_leaf=12, max_features=4)\n",
    "decision_tree.fit(X_train, y_train)\n",
    "Y_pred = decision_tree.predict(X_test)\n",
    "acc_decision_tree1 = round(decision_tree.score(X_test, y_test) * 100, 2)\n",
    "sk_report = classification_report(\n",
    "    digits=6,\n",
    "    y_true=y_test, \n",
    "    y_pred=Y_pred)\n",
    "print(\"Accuracy\", acc_decision_tree1)\n",
    "print(sk_report)\n",
    "### Confusion Matrix \n",
    "pd.crosstab(y_test, Y_pred, rownames=['Actual'], colnames=['Predicted'], margins=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "e9052958b1ac2236b1789355a5a11a750f8e4aa1",
    "id": "fkrZyGkzclgY"
   },
   "source": [
    "We really didn't see much difference in Accident severity 1 and 2. However we did improve the accuracy of Accident severity 3. It jumped the accuracy from 75.1% to 85.8%."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "7f9440cd53d5f18ef91c80e19fd7593d1a7590f4",
    "id": "hd2ukkdHclgZ"
   },
   "source": [
    "## Feature importance\n",
    "We can use Sklearn's random forest library to find out the most important features. We will be plotting in  ascending order so we know what features are most important to predict the accident severity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "_uuid": "8fcb8231e0a2baf72e89f5985c5f20f05da9382c",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 539
    },
    "id": "JBvyo4veclgZ",
    "outputId": "3dc76ea9-a6f6-4468-a8b1-864fe4c7fb87"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 357,
       "width": 810
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "feat_importances = pd.Series(random_forest.feature_importances_, index=accident_ml.columns)\n",
    "feat_importances.nlargest(5).plot(kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 117
    },
    "id": "wSI7mVP5gc2v",
    "outputId": "5a9b341f-cbfa-4339-8475-92905cc9ea28"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, estimator=RandomForestClassifier(), n_jobs=-1,\n",
       "             param_grid={'max_depth': [5, 10, 15],\n",
       "                         'min_samples_leaf': [1, 2, 4],\n",
       "                         'min_samples_split': [2, 5, 10],\n",
       "                         'n_estimators': [100, 200, 300]})"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf = RandomForestClassifier()\n",
    "\n",
    "# Define the hyperparameters to search over\n",
    "param_grid = {\n",
    "    'n_estimators': [100, 200, 300],\n",
    "    'max_depth': [5, 10, 15],\n",
    "    'min_samples_split': [2, 5, 10],\n",
    "    'min_samples_leaf': [1, 2, 4],\n",
    "}\n",
    "\n",
    "grid_search = GridSearchCV(rf, param_grid, cv=5, n_jobs=-1)\n",
    "\n",
    "grid_search.fit(X_train, y_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "_uuid": "8a6e8de82ae44d10b8c2ccb687bba2c947be8f95",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 348
    },
    "id": "3X_bsGHsclgZ",
    "outputId": "7cb9fae9-7ff3-4242-ed61-6aab909ae72d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy 91.67\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           2   0.000000  0.000000  0.000000         1\n",
      "           3   0.916667  1.000000  0.956522        11\n",
      "\n",
      "    accuracy                       0.916667        12\n",
      "   macro avg   0.458333  0.500000  0.478261        12\n",
      "weighted avg   0.840278  0.916667  0.876812        12\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Predicted</th>\n",
       "      <th>3</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Actual</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Predicted   3  All\n",
       "Actual            \n",
       "2           1    1\n",
       "3          11   11\n",
       "All        12   12"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y_pred = grid_search.predict(X_test)\n",
    "acc_random_forest1 = round(grid_search.score(X_test, y_test) * 100, 2)\n",
    "\n",
    "sk_report = classification_report(\n",
    "    digits=6,\n",
    "    y_true=y_test, \n",
    "    y_pred=Y_pred)\n",
    "print(\"Accuracy\" , acc_random_forest1)\n",
    "print(sk_report)\n",
    "pd.crosstab(y_test, Y_pred, rownames=['Actual'], colnames=['Predicted'], margins=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "bfceeaaa72237771033a5fb480018723e2011192",
    "id": "UWczhxFpclga"
   },
   "source": [
    "Random forest took lots of time to tune the hyperparameter. Most of the algorithm works well only with default values except decision tree."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "id": "6pGn_R_dhgIe"
   },
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('model.pickle', 'wb') as f:\n",
    "    pickle.dump(grid_search, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "D5NwzM_XhgMg"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "1dc94a15c09d173b17e5e890d27355884a588ffb",
    "id": "oo3r-ILjclga"
   },
   "source": [
    "## Conclusion\n",
    "\n",
    "\n",
    "#### Machine Learning Conclusion\n",
    "\n",
    "\n",
    "#### Recommendation for Public ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_uuid": "330f32e479a1c183e1faa763240fcf91b7c491b9",
    "id": "FrvqW_zZclgb"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_uuid": "61f3e804e120de9092d0f11ae857671e6629be94",
    "id": "oOV2ABdSclgb"
   },
   "outputs": [],
   "source": []
  }
 ],
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