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jbanerje/us_road_accidents.ipynb

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US Road Accidents In The USA (1998-2012)
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us_road_accidents.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
"_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/kaggle/input/us-accidents/US_Accidents_May19.csv\n"
]
}
],
"source": [
"# This Python 3 environment comes with many helpful analytics libraries installed\n",
"# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n",
"# For example, here's several helpful packages to load in \n",
"\n",
"import numpy as np # linear algebra\n",
"import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
"import matplotlib.pyplot as plt\n",
"import datetime as dt\n",
"%matplotlib inline\n",
"\n",
"import seaborn as sns\n",
"\n",
"from os import path\n",
"from PIL import Image\n",
"from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\n",
"\n",
"import warnings\n",
"warnings.filterwarnings(\"ignore\")\n",
"# Input data files are available in the \"../input/\" directory.\n",
"# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
"\n",
"import os\n",
"for dirname, _, filenames in os.walk('/kaggle/input'):\n",
" for filename in filenames:\n",
" print(os.path.join(dirname, filename))\n",
"\n",
"# Any results you write to the current directory are saved as output."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* About the data:\n",
"This is a countrywide traffic accident dataset, which covers 49 states of the United States. The data is continuously being collected from February 2016, using several data providers, including two APIs which provide streaming traffic event data. These APIs broadcast traffic events captured by a variety of entities, such as the US and state departments of transportation, law enforcement agencies, traffic cameras, and traffic sensors within the road-networks. Currently, there are about 2.25 million accident records in this dataset.\n",
" \n",
"* What questions are we trying to answer:\n",
" * Source of Information\n",
" * How Severe the accidents are\n",
" * Which County, zip codes recorded maximum accidents \n",
" * Major Contributors for Severe accidents\n",
" * Which month/year had how much accidents and if there id a trend\n",
" * Relationship of environmental factors contributing to the accident\n",
" * Which time of the day has most accidents\n",
" * Deep dive into bi-varite relationship of the columns with Severity"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"_cell_guid": "79c7e3d0-c299-4dcb-8224-4455121ee9b0",
"_uuid": "d629ff2d2480ee46fbb7e2d37f6b5fab8052498a"
},
"outputs": [],
"source": [
"# Read the dataset\n",
"acc_df = pd.read_csv('../input/us-accidents/US_Accidents_May19.csv')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Rows, Columns - (2243939, 49)\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>ID</th>\n",
" <th>Source</th>\n",
" <th>TMC</th>\n",
" <th>Severity</th>\n",
" <th>Start_Time</th>\n",
" <th>End_Time</th>\n",
" <th>Start_Lat</th>\n",
" <th>Start_Lng</th>\n",
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" <th>End_Lng</th>\n",
" <th>...</th>\n",
" <th>Roundabout</th>\n",
" <th>Station</th>\n",
" <th>Stop</th>\n",
" <th>Traffic_Calming</th>\n",
" <th>Traffic_Signal</th>\n",
" <th>Turning_Loop</th>\n",
" <th>Sunrise_Sunset</th>\n",
" <th>Civil_Twilight</th>\n",
" <th>Nautical_Twilight</th>\n",
" <th>Astronomical_Twilight</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>A-1</td>\n",
" <td>MapQuest</td>\n",
" <td>201.0</td>\n",
" <td>3</td>\n",
" <td>2016-02-08 05:46:00</td>\n",
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" <td>39.865147</td>\n",
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" <td>NaN</td>\n",
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" <tr>\n",
" <th>1</th>\n",
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" <td>NaN</td>\n",
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" <td>...</td>\n",
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" <td>False</td>\n",
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" <td>False</td>\n",
" <td>Night</td>\n",
" <td>Night</td>\n",
" <td>Night</td>\n",
" <td>Day</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>A-3</td>\n",
" <td>MapQuest</td>\n",
" <td>201.0</td>\n",
" <td>2</td>\n",
" <td>2016-02-08 06:49:27</td>\n",
" <td>2016-02-08 07:19:27</td>\n",
" <td>39.063148</td>\n",
" <td>-84.032608</td>\n",
" <td>NaN</td>\n",
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" <td>...</td>\n",
" <td>False</td>\n",
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" <td>False</td>\n",
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" <td>Night</td>\n",
" <td>Night</td>\n",
" <td>Day</td>\n",
" <td>Day</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>A-4</td>\n",
" <td>MapQuest</td>\n",
" <td>201.0</td>\n",
" <td>3</td>\n",
" <td>2016-02-08 07:23:34</td>\n",
" <td>2016-02-08 07:53:34</td>\n",
" <td>39.747753</td>\n",
" <td>-84.205582</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>Night</td>\n",
" <td>Day</td>\n",
" <td>Day</td>\n",
" <td>Day</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>A-5</td>\n",
" <td>MapQuest</td>\n",
" <td>201.0</td>\n",
" <td>2</td>\n",
" <td>2016-02-08 07:39:07</td>\n",
" <td>2016-02-08 08:09:07</td>\n",
" <td>39.627781</td>\n",
" <td>-84.188354</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
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" <td>False</td>\n",
" <td>True</td>\n",
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" <td>Day</td>\n",
" <td>Day</td>\n",
" <td>Day</td>\n",
" <td>Day</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 49 columns</p>\n",
"</div>"
],
"text/plain": [
" ID Source TMC Severity Start_Time End_Time \\\n",
"0 A-1 MapQuest 201.0 3 2016-02-08 05:46:00 2016-02-08 11:00:00 \n",
"1 A-2 MapQuest 201.0 2 2016-02-08 06:07:59 2016-02-08 06:37:59 \n",
"2 A-3 MapQuest 201.0 2 2016-02-08 06:49:27 2016-02-08 07:19:27 \n",
"3 A-4 MapQuest 201.0 3 2016-02-08 07:23:34 2016-02-08 07:53:34 \n",
"4 A-5 MapQuest 201.0 2 2016-02-08 07:39:07 2016-02-08 08:09:07 \n",
"\n",
" Start_Lat Start_Lng End_Lat End_Lng ... Roundabout Station Stop \\\n",
"0 39.865147 -84.058723 NaN NaN ... False False False \n",
"1 39.928059 -82.831184 NaN NaN ... False False False \n",
"2 39.063148 -84.032608 NaN NaN ... False False False \n",
"3 39.747753 -84.205582 NaN NaN ... False False False \n",
"4 39.627781 -84.188354 NaN NaN ... False False False \n",
"\n",
" Traffic_Calming Traffic_Signal Turning_Loop Sunrise_Sunset Civil_Twilight \\\n",
"0 False False False Night Night \n",
"1 False False False Night Night \n",
"2 False True False Night Night \n",
"3 False False False Night Day \n",
"4 False True False Day Day \n",
"\n",
" Nautical_Twilight Astronomical_Twilight \n",
"0 Night Night \n",
"1 Night Day \n",
"2 Day Day \n",
"3 Day Day \n",
"4 Day Day \n",
"\n",
"[5 rows x 49 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# First Look into the data\n",
"print('Rows, Columns - ', acc_df.shape)\n",
"acc_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 2243939 entries, 0 to 2243938\n",
"Data columns (total 49 columns):\n",
"ID object\n",
"Source object\n",
"TMC float64\n",
"Severity int64\n",
"Start_Time object\n",
"End_Time object\n",
"Start_Lat float64\n",
"Start_Lng float64\n",
"End_Lat float64\n",
"End_Lng float64\n",
"Distance(mi) float64\n",
"Description object\n",
"Number float64\n",
"Street object\n",
"Side object\n",
"City object\n",
"County object\n",
"State object\n",
"Zipcode object\n",
"Country object\n",
"Timezone object\n",
"Airport_Code object\n",
"Weather_Timestamp object\n",
"Temperature(F) float64\n",
"Wind_Chill(F) float64\n",
"Humidity(%) float64\n",
"Pressure(in) float64\n",
"Visibility(mi) float64\n",
"Wind_Direction object\n",
"Wind_Speed(mph) float64\n",
"Precipitation(in) float64\n",
"Weather_Condition object\n",
"Amenity bool\n",
"Bump bool\n",
"Crossing bool\n",
"Give_Way bool\n",
"Junction bool\n",
"No_Exit bool\n",
"Railway bool\n",
"Roundabout bool\n",
"Station bool\n",
"Stop bool\n",
"Traffic_Calming bool\n",
"Traffic_Signal bool\n",
"Turning_Loop bool\n",
"Sunrise_Sunset object\n",
"Civil_Twilight object\n",
"Nautical_Twilight object\n",
"Astronomical_Twilight object\n",
"dtypes: bool(13), float64(14), int64(1), object(21)\n",
"memory usage: 644.1+ MB\n"
]
}
],
"source": [
"# Get Attribute and Datatype Information\n",
"acc_df.info()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Data represents 49 states\n"
]
}
],
"source": [
"# Data represents how many States ?\n",
"print(f\"Data represents {acc_df['State'].unique().shape[0]} states\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# Converting timestamp fileds into datetime.\n",
"acc_df['Start_Time'] = pd.to_datetime(acc_df['Start_Time'], infer_datetime_format=True)\n",
"acc_df['End_Time'] = pd.to_datetime(acc_df['End_Time'], infer_datetime_format=True)\n",
"acc_df['Weather_Timestamp'] = pd.to_datetime(acc_df['Weather_Timestamp'], infer_datetime_format=True)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Sum</th>\n",
" <th>Percentage(%)</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Precipitation(in)</th>\n",
" <td>1979466</td>\n",
" <td>88</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Wind_Chill(F)</th>\n",
" <td>1852370</td>\n",
" <td>83</td>\n",
" </tr>\n",
" <tr>\n",
" <th>End_Lat</th>\n",
" <td>1727177</td>\n",
" <td>77</td>\n",
" </tr>\n",
" <tr>\n",
" <th>End_Lng</th>\n",
" <td>1727177</td>\n",
" <td>77</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Number</th>\n",
" <td>1458402</td>\n",
" <td>65</td>\n",
" </tr>\n",
" <tr>\n",
" <th>TMC</th>\n",
" <td>516762</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Wind_Speed(mph)</th>\n",
" <td>442954</td>\n",
" <td>20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Visibility(mi)</th>\n",
" <td>71360</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Pressure(in)</th>\n",
" <td>57280</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Humidity(%)</th>\n",
" <td>64467</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Temperature(F)</th>\n",
" <td>62265</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Weather_Condition</th>\n",
" <td>72004</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Wind_Direction</th>\n",
" <td>47190</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Weather_Timestamp</th>\n",
" <td>47170</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Airport_Code</th>\n",
" <td>23664</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Crossing</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Amenity</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Bump</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No_Exit</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Give_Way</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Junction</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nautical_Twilight</th>\n",
" <td>78</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roundabout</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Station</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Stop</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Traffic_Calming</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Traffic_Signal</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Turning_Loop</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sunrise_Sunset</th>\n",
" <td>78</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Civil_Twilight</th>\n",
" <td>78</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Railway</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ID</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Source</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Description</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Severity</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Start_Time</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>End_Time</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Start_Lat</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Start_Lng</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Distance(mi)</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Street</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Timezone</th>\n",
" <td>2141</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Side</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>City</th>\n",
" <td>68</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>County</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>State</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Zipcode</th>\n",
" <td>646</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Country</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Astronomical_Twilight</th>\n",
" <td>78</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Sum Percentage(%)\n",
"Precipitation(in) 1979466 88\n",
"Wind_Chill(F) 1852370 83\n",
"End_Lat 1727177 77\n",
"End_Lng 1727177 77\n",
"Number 1458402 65\n",
"TMC 516762 23\n",
"Wind_Speed(mph) 442954 20\n",
"Visibility(mi) 71360 3\n",
"Pressure(in) 57280 3\n",
"Humidity(%) 64467 3\n",
"Temperature(F) 62265 3\n",
"Weather_Condition 72004 3\n",
"Wind_Direction 47190 2\n",
"Weather_Timestamp 47170 2\n",
"Airport_Code 23664 1\n",
"Crossing 0 0\n",
"Amenity 0 0\n",
"Bump 0 0\n",
"No_Exit 0 0\n",
"Give_Way 0 0\n",
"Junction 0 0\n",
"Nautical_Twilight 78 0\n",
"Roundabout 0 0\n",
"Station 0 0\n",
"Stop 0 0\n",
"Traffic_Calming 0 0\n",
"Traffic_Signal 0 0\n",
"Turning_Loop 0 0\n",
"Sunrise_Sunset 78 0\n",
"Civil_Twilight 78 0\n",
"Railway 0 0\n",
"ID 0 0\n",
"Source 0 0\n",
"Description 1 0\n",
"Severity 0 0\n",
"Start_Time 0 0\n",
"End_Time 0 0\n",
"Start_Lat 0 0\n",
"Start_Lng 0 0\n",
"Distance(mi) 0 0\n",
"Street 0 0\n",
"Timezone 2141 0\n",
"Side 0 0\n",
"City 68 0\n",
"County 0 0\n",
"State 0 0\n",
"Zipcode 646 0\n",
"Country 0 0\n",
"Astronomical_Twilight 78 0"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Missing Data\n",
"missing_data = []\n",
"total = acc_df.isna().sum()\n",
"percentage = round((acc_df.isna().sum()/acc_df.isna().count())*100, 0).astype(int)\n",
"missing_data = pd.concat([total, percentage], axis=1, keys=['Sum', 'Percentage(%)'])\n",
"missing_data = missing_data.sort_values('Percentage(%)', ascending=False)\n",
"missing_data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**** Missing Summary and Action :****\n",
"* Precipitation has 88% missing data. Meaning, 88% of the days, it didn't rain. We will replace the missing values with 0.\n",
"* Wind Chill has 83% missing data. So windchill was not presen during those days and will be replaced by 0.\n",
"* End_Lat and End_Lng has 77% missing data. We will not use this field for analysis. We will use Start_Lat and Start_Lng intead.\n",
"* Number - 65% Street numbers missing. These could be accidents on main highways (US Routes, Interstates etc). We will replace them with 0s. 0s will represent highways and others as Non highways.\n",
"* TMC - 20% missing data. Traffic Message Channel (TMC) is a technology for delivering traffic and travel information to motor vehicle drivers. We will replace missing values with 0\n",
"* Wind Speed - 20% missing. We will assume there is no wind and replace them with 0.\n",
"* Others with 2-3% missing, replace with 0."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Replace missing values with 0s\n",
"acc_df = acc_df.fillna(0)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Sum</th>\n",
" <th>Percentage(%)</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>ID</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Humidity(%)</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Visibility(mi)</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Wind_Direction</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Wind_Speed(mph)</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Precipitation(in)</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Weather_Condition</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Amenity</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Bump</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Crossing</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Give_Way</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Junction</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>No_Exit</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Railway</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Roundabout</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Station</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Stop</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Traffic_Calming</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Traffic_Signal</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Turning_Loop</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Sunrise_Sunset</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Civil_Twilight</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nautical_Twilight</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Pressure(in)</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Wind_Chill(F)</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Source</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Temperature(F)</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>TMC</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Severity</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Start_Time</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>End_Time</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Start_Lat</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Start_Lng</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>End_Lat</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>End_Lng</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Distance(mi)</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Description</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Number</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Street</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Side</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>City</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>County</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>State</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Zipcode</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Country</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Timezone</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Airport_Code</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Weather_Timestamp</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Astronomical_Twilight</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Sum Percentage(%)\n",
"ID 0 0\n",
"Humidity(%) 0 0\n",
"Visibility(mi) 0 0\n",
"Wind_Direction 0 0\n",
"Wind_Speed(mph) 0 0\n",
"Precipitation(in) 0 0\n",
"Weather_Condition 0 0\n",
"Amenity 0 0\n",
"Bump 0 0\n",
"Crossing 0 0\n",
"Give_Way 0 0\n",
"Junction 0 0\n",
"No_Exit 0 0\n",
"Railway 0 0\n",
"Roundabout 0 0\n",
"Station 0 0\n",
"Stop 0 0\n",
"Traffic_Calming 0 0\n",
"Traffic_Signal 0 0\n",
"Turning_Loop 0 0\n",
"Sunrise_Sunset 0 0\n",
"Civil_Twilight 0 0\n",
"Nautical_Twilight 0 0\n",
"Pressure(in) 0 0\n",
"Wind_Chill(F) 0 0\n",
"Source 0 0\n",
"Temperature(F) 0 0\n",
"TMC 0 0\n",
"Severity 0 0\n",
"Start_Time 0 0\n",
"End_Time 0 0\n",
"Start_Lat 0 0\n",
"Start_Lng 0 0\n",
"End_Lat 0 0\n",
"End_Lng 0 0\n",
"Distance(mi) 0 0\n",
"Description 0 0\n",
"Number 0 0\n",
"Street 0 0\n",
"Side 0 0\n",
"City 0 0\n",
"County 0 0\n",
"State 0 0\n",
"Zipcode 0 0\n",
"Country 0 0\n",
"Timezone 0 0\n",
"Airport_Code 0 0\n",
"Weather_Timestamp 0 0\n",
"Astronomical_Twilight 0 0"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Missing Data\n",
"missing_data = []\n",
"total = acc_df.isna().sum()\n",
"percentage = round((acc_df.isna().sum()/acc_df.isna().count())*100, 0).astype(int)\n",
"missing_data = pd.concat([total, percentage], axis=1, keys=['Sum', 'Percentage(%)'])\n",
"missing_data = missing_data.sort_values('Percentage(%)', ascending=False)\n",
"missing_data"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"acc_df['Counter']=1"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"State Date - 2015-03-09 07:00:00 \n",
"End Date - 2019-04-01 03:26:00\n"
]
}
],
"source": [
"# Determining the timeframe of the data\n",
"print( 'State Date - ', acc_df['Start_Time'].min(), '\\nEnd Date - ', acc_df['Start_Time'].max())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We have 4 years worth of data. We will use the timeframe reference down the line"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Source of information:\n",
"----------------------\n",
"MapQuest 76%\n",
"Bing 23%\n",
"MapQuest-Bing 1%\n",
"Name: Source, dtype: object\n"
]
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Different sources providing accident details \n",
"print('Source of information:')\n",
"print('----------------------')\n",
"print((round(acc_df['Source'].value_counts(normalize=True)*100, 0)).astype(int).astype(str) + '%')\n",
"ax = sns.countplot(x=\"Source\", data=acc_df, order = acc_df['Source'].value_counts().index)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# TMC\n",
"Reference : https://en.wikipedia.org/wiki/Traffic_message_channel\n",
"\n",
"Traffic Message Channel (TMC) is a technology for delivering traffic and travel information to motor vehicle drivers. \n",
"It is digitally coded using the ALERT C or TPEG protocol into RDS Type 8A groups carried via conventional FM radio broadcasts.\n",
"When data is integrated directly into a navigation system, traffic information can be used in the system's route calculation."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Frequency Distribution of TMC\n",
"Code Frequency \n",
"-----------------------------\n",
"201.0 1464118\n",
"0.0 516762\n",
"241.0 150939\n",
"245.0 27509\n",
"229.0 21957\n",
"203.0 14114\n",
"222.0 11576\n",
"244.0 8416\n",
"406.0 6824\n",
"202.0 5102\n",
"246.0 4739\n",
"247.0 4133\n",
"343.0 2847\n",
"236.0 1919\n",
"248.0 952\n",
"206.0 857\n",
"339.0 629\n",
"341.0 361\n",
"200.0 66\n",
"336.0 62\n",
"239.0 51\n",
"351.0 6\n",
"Name: TMC, dtype: int64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa886e165f8>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Frequency Distribution of TMC (Note - 0 represents missing data. 0 is not a valid TMC Code)\n",
"print('Frequency Distribution of TMC')\n",
"print('Code Frequency ')\n",
"print('-----------------------------')\n",
"plt.figure(figsize = (16, 6))\n",
"print(acc_df['TMC'].value_counts())\n",
"sns.countplot(x=\"TMC\", data=acc_df, order = acc_df['TMC'].value_counts().index)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"# TMC Labels refence - https://wiki.openstreetmap.org/wiki/TMC/Event_Code_List\n",
"tmc_code_labels = ['(Q) accident(s)','Missing TMC Code',\n",
"'(Q) accident(s). Right lane blocked',\n",
"'(Q) accident(s). Two lanes blocked',\n",
"'(Q) accident(s). Slow traffic',\n",
"'multi-vehicle accident (involving Q vehicles)',\n",
"'(Q) accident(s). Queuing traffic',\n",
"'(Q) accident(s). Hard shoulder blocked',\n",
"'(Q th) entry slip road closed',\n",
"'(Q) serious accident(s)',\n",
"'(Q) accident(s). Three lanes blocked',\n",
"'accident. Delays (Q)',\n",
"'(Q) earlier accident(s)',\n",
"'(Q) accident(s). Heavy traffic',\n",
"'accident. Delays (Q) expected',\n",
"'(Q) fuel spillage accident(s)',\n",
"'(Q) jackknifed trailer(s)',\n",
"'(Q) jackknifed articulated lorr(y/ies)',\n",
"'multi vehicle pile up. Delays (Q)',\n",
"'(Q) oil spillage accident(s)',\n",
"'(Q) accident(s). Traffic building up',\n",
"'(Q) accident(s) in roadworks area']"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>TMC_CODE</th>\n",
" <th>TMC_CODE_DESC</th>\n",
" <th>COUNT</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>201</td>\n",
" <td>(Q) accident(s)</td>\n",
" <td>1464118</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>Missing TMC Code</td>\n",
" <td>516762</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>241</td>\n",
" <td>(Q) accident(s). Right lane blocked</td>\n",
" <td>150939</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>245</td>\n",
" <td>(Q) accident(s). Two lanes blocked</td>\n",
" <td>27509</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>229</td>\n",
" <td>(Q) accident(s). Slow traffic</td>\n",
" <td>21957</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>203</td>\n",
" <td>multi-vehicle accident (involving Q vehicles)</td>\n",
" <td>14114</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>222</td>\n",
" <td>(Q) accident(s). Queuing traffic</td>\n",
" <td>11576</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>244</td>\n",
" <td>(Q) accident(s). Hard shoulder blocked</td>\n",
" <td>8416</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>406</td>\n",
" <td>(Q th) entry slip road closed</td>\n",
" <td>6824</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>202</td>\n",
" <td>(Q) serious accident(s)</td>\n",
" <td>5102</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>246</td>\n",
" <td>(Q) accident(s). Three lanes blocked</td>\n",
" <td>4739</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>247</td>\n",
" <td>accident. Delays (Q)</td>\n",
" <td>4133</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>343</td>\n",
" <td>(Q) earlier accident(s)</td>\n",
" <td>2847</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>236</td>\n",
" <td>(Q) accident(s). Heavy traffic</td>\n",
" <td>1919</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>248</td>\n",
" <td>accident. Delays (Q) expected</td>\n",
" <td>952</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>206</td>\n",
" <td>(Q) fuel spillage accident(s)</td>\n",
" <td>857</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>339</td>\n",
" <td>(Q) jackknifed trailer(s)</td>\n",
" <td>629</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>341</td>\n",
" <td>(Q) jackknifed articulated lorr(y/ies)</td>\n",
" <td>361</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>200</td>\n",
" <td>multi vehicle pile up. Delays (Q)</td>\n",
" <td>66</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>336</td>\n",
" <td>(Q) oil spillage accident(s)</td>\n",
" <td>62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>239</td>\n",
" <td>(Q) accident(s). Traffic building up</td>\n",
" <td>51</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>351</td>\n",
" <td>(Q) accident(s) in roadworks area</td>\n",
" <td>6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" TMC_CODE TMC_CODE_DESC COUNT\n",
"0 201 (Q) accident(s) 1464118\n",
"1 0 Missing TMC Code 516762\n",
"2 241 (Q) accident(s). Right lane blocked 150939\n",
"3 245 (Q) accident(s). Two lanes blocked 27509\n",
"4 229 (Q) accident(s). Slow traffic 21957\n",
"5 203 multi-vehicle accident (involving Q vehicles) 14114\n",
"6 222 (Q) accident(s). Queuing traffic 11576\n",
"7 244 (Q) accident(s). Hard shoulder blocked 8416\n",
"8 406 (Q th) entry slip road closed 6824\n",
"9 202 (Q) serious accident(s) 5102\n",
"10 246 (Q) accident(s). Three lanes blocked 4739\n",
"11 247 accident. Delays (Q) 4133\n",
"12 343 (Q) earlier accident(s) 2847\n",
"13 236 (Q) accident(s). Heavy traffic 1919\n",
"14 248 accident. Delays (Q) expected 952\n",
"15 206 (Q) fuel spillage accident(s) 857\n",
"16 339 (Q) jackknifed trailer(s) 629\n",
"17 341 (Q) jackknifed articulated lorr(y/ies) 361\n",
"18 200 multi vehicle pile up. Delays (Q) 66\n",
"19 336 (Q) oil spillage accident(s) 62\n",
"20 239 (Q) accident(s). Traffic building up 51\n",
"21 351 (Q) accident(s) in roadworks area 6"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Create a lookup of TMC Code and Description. This will give us an idea of whats these codes mean\n",
"values = acc_df['TMC'].value_counts().keys().astype(int).tolist()\n",
"counts = acc_df['TMC'].value_counts().tolist()\n",
"tmc_lookup_df = pd.DataFrame({'TMC_CODE':values, 'TMC_CODE_DESC': tmc_code_labels, 'COUNT':counts})\n",
"tmc_lookup_df"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Severity:\n",
"---------\n",
"2 64%\n",
"3 31%\n",
"4 3%\n",
"1 0%\n",
"0 0%\n",
"Name: Severity, dtype: object\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa886de60b8>"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 360x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Frequency Distribution for Severity\n",
"plt.figure(figsize = (5, 5))\n",
"print('Severity:')\n",
"print('---------')\n",
"print((acc_df['Severity'].value_counts(normalize=True)*100).astype(int).astype(str) + '%')\n",
"sns.countplot(x='Severity', data=acc_df)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* 1 indicates the least impact on traffic (i.e., short delay as a result of the accident) and 4 indicates a significant impact on traffic (i.e., long delay)\n",
"* Severity 2 constitute the Majority"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"# Creating a new column called Accident Duration\n",
"acc_df['Accident_Duration_Mins'] = (acc_df['End_Time'] - acc_df['Start_Time']).astype('timedelta64[m]').astype(int)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead tr th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe thead tr:last-of-type th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th colspan=\"6\" halign=\"left\">Accident_Duration_Mins</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>median</th>\n",
" <th>min</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Severity</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>17</td>\n",
" <td>49</td>\n",
" <td>50</td>\n",
" <td>29</td>\n",
" <td>28</td>\n",
" <td>239</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>814</td>\n",
" <td>40</td>\n",
" <td>16</td>\n",
" <td>30</td>\n",
" <td>17</td>\n",
" <td>216</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1455524</td>\n",
" <td>108</td>\n",
" <td>1218</td>\n",
" <td>40</td>\n",
" <td>-31</td>\n",
" <td>500221</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>715582</td>\n",
" <td>78</td>\n",
" <td>2204</td>\n",
" <td>29</td>\n",
" <td>-31</td>\n",
" <td>782609</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>72002</td>\n",
" <td>1102</td>\n",
" <td>21613</td>\n",
" <td>360</td>\n",
" <td>11</td>\n",
" <td>1786320</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Accident_Duration_Mins \n",
" count mean std median min max\n",
"Severity \n",
"0 17 49 50 29 28 239\n",
"1 814 40 16 30 17 216\n",
"2 1455524 108 1218 40 -31 500221\n",
"3 715582 78 2204 29 -31 782609\n",
"4 72002 1102 21613 360 11 1786320"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Accident Duration by Severity\n",
"acc_duration = acc_df[['Accident_Duration_Mins']].groupby(acc_df['Severity']).agg(['count', 'mean', 'std', 'median', 'min', 'max']).astype(int).round()\n",
"acc_duration"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Observations:\n",
"* Severity - 4 : Mean 1102 mins with std dev 21613 mins means, (1102+21613)/60 = 378 hrs = 15 days. I doubt the data here. Rather we will use the median. It creates 360 mins or 6 hrs delays to clear a severity 4 accidents.\n",
"* Severity - 3 : Median 29 mins . Min shows -31. Presence of Data issue (Start_Time > End_Time).\n",
"* Severity - 2 : Median 40 mins. Min shows -31. Presence of Data issue (Start_Time > End_Time).\n",
"* Severity -1 : Only 17 records. So difficult to reach any conclusion as sample size is statistically insignificant (min 30 samples required). "
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Count of accidents by State')"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# No of accidents by States\n",
"plt.figure(figsize = (16, 6))\n",
"sns.countplot(x='State', data=acc_df, order = acc_df['State'].value_counts().index)\n",
"plt.title('Count of accidents by State')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"California, Texas, Florida, North Carolina and New York recoded maximum number of accidents.\n",
"\n",
"Let's deep dive more into these states"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"# Select top 5 states\n",
"acc_df_top_state = acc_df[acc_df['State'].isin(['CA', 'TX', 'FL', 'NC', 'NY'])][['Start_Time', 'State', 'Severity']]"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"CA 484706\n",
"TX 237637\n",
"FL 177490\n",
"NC 108916\n",
"NY 105523\n",
"Name: State, dtype: int64"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# How many accidents happened in last 4 years in top 5 states\n",
"acc_df_top_state['State'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"State Severity\n",
"CA 0 4\n",
" 1 231\n",
" 2 298270\n",
" 3 181310\n",
" 4 4891\n",
"FL 1 62\n",
" 2 114707\n",
" 3 57556\n",
" 4 5165\n",
"NC 0 1\n",
" 1 20\n",
" 2 93208\n",
" 3 13927\n",
" 4 1760\n",
"NY 0 1\n",
" 1 19\n",
" 2 60284\n",
" 3 40919\n",
" 4 4300\n",
"TX 0 4\n",
" 1 105\n",
" 2 170484\n",
" 3 64355\n",
" 4 2689\n",
"Name: COUNTER, dtype: int64"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Breakup of accidents by Severity\n",
"acc_df_top_state['COUNTER'] =1\n",
"acc_df_top_state.groupby(['State','Severity'])['COUNTER'].sum()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Severity 4 - Florida Leads followed by California and New York\n",
"* Severity 3 - California Leads followed by Texas and Florida\n",
"* Severity 2 - California followed by Texas and Florida\n",
"* Severity 1 - California followed by Texas\n",
"* Severity 0 - 10 records only. Sample size insufficient to conclude."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Start_Time</th>\n",
" <th>Year</th>\n",
" <th>Month</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>728</th>\n",
" <td>2016-06-21 10:34:40</td>\n",
" <td>2016</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>729</th>\n",
" <td>2016-06-21 10:30:16</td>\n",
" <td>2016</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>730</th>\n",
" <td>2016-06-21 10:49:14</td>\n",
" <td>2016</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>731</th>\n",
" <td>2016-06-21 10:41:42</td>\n",
" <td>2016</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>732</th>\n",
" <td>2016-06-21 10:16:26</td>\n",
" <td>2016</td>\n",
" <td>6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Start_Time Year Month\n",
"728 2016-06-21 10:34:40 2016 6\n",
"729 2016-06-21 10:30:16 2016 6\n",
"730 2016-06-21 10:49:14 2016 6\n",
"731 2016-06-21 10:41:42 2016 6\n",
"732 2016-06-21 10:16:26 2016 6"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Extract Year and Month of accident from Start_Time\n",
"acc_df_top_state['Year'] = acc_df_top_state['Start_Time'].map(lambda x: x.year)\n",
"acc_df_top_state['Month'] = acc_df_top_state['Start_Time'].map(lambda x: x.month)\n",
"acc_df_top_state[['Start_Time', 'Year', 'Month']].head()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Year\n",
"2016 253428\n",
"2017 369841\n",
"2018 400768\n",
"2019 90235\n",
"Name: COUNTER, dtype: int64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa886c3e780>"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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6NZeidUPIaP9s2OWI1GkKbCIStzbvKGHBuq17PWi2cMdX10S1aJRGj5xMLuzbYc+DZrvlZNKkQWolW5ZDISl1M2ktP6B4/UBKt08mpdHisEsSqbMU2EQkdDuKS6NTM5V70OzaLV9NzdQ4PYXuOY0ZfETrPdeYdW+dSavG6SFWLlVJa/kRJZuOpyh/OMmdH8QsseavFjlUFNhE5JApLg2mZir3oNnl5aZm6pbdmJO6tNxzjVn31pm0bdpAd2bWQZZUSnrOeHatupSSTceT1vyzsEsSqZMU2ESkxpVFnBUbd+wVzBYXbKc08tXUTJ1bNeKItk05/5j2e+bMPKxlI5J1Z2ZCScmcSXLDxRQXDCK1yUwseWfVK4nI1yiwicgBc3fWbtkVc41Z9EGzC9dtZVdJZE+/Di2iUzOd1Stnz/PMDs9qRHqKbgCoD8wgPWcsO5ZcS1HBABq0Hhd2SSJ1jgKbiADw6rRV3DthPqs37aRtswx+PagH5x3Tbs/yjduLY64x+2rkbGsFUzNdesJh9XZqJqlYcoM1pDb7jJLCE0lt/hnJ6evCLkmkTtHfoiLCq9NWMfrlmXsmLF+1aSe/fvFLXv5iJWXuzF+7jfXbvpqaqWlGKj1aZzJCUzPJfkjLmkjJlqMoyh9GRocnNM+oyH5QYBMR7p0wf09Y262kzPl44XqO7NCMM3tm7XmWWY+cTLI0NZMcgKSU7aRnvUNR/nDKtvUiJXNu2CWJ1BkKbCLx4Namoe3aHVYVPQNUFMAivFYwFAqAWYe4MIBbN4ewU6lNqc0nUVLYj13559Co0QIsqazqlUQEzcUiUo8tj2RzWcn/UXFYg7ZsOLQFScIzi5CeMw4vaUVx4clhlyNSZyiwidRDZW78o3QoA4vv4cvI4Vxo75FB0df6ZFDEr1OeD6lCSWQpjReS3HgOxesHECltHHY5InWCAptIPTM/0p7zi2/jd6WXcXLSbCam/4Z70//BXSmP0Y4CjAjtKOCulMc4L+V/YZcrCapBzhsQSaZo3eCwSxGpE3QNm0g9UeQpPFQ6gkfKRpDJDh5M/QvDkybtuVPvvJT/KaDJIZOUtoG0lp9QvOF0yppPJjljZdglicQ1jbCJ1ANfRLoyrPj3PFj2LYYlTeKd9F9zbvIkPVZBQpXW8j0seQu78ofjrt+MIpXRCJtIAtvu6fyx9CKeLBtEGzbyz9R7OCP5y7DLEgHAkotJz57ArjUXUrrlKFKbTg+7JJG4pcAmkqA+KuvD6JIrWUUWlye/zW9SnqOx7Qq7LJGvSWn6BUmF/SlaN4SUzDlYUnHYJYnEJZ0SFUkwm7wRvyr5IZeXjCbdSvhP2m3cnvqkwprEJTOnQc5YvLQpxetPD7sckbilETaRBOEOb0b6cXPJ9ygkk6uTX+XalFdoYCVhlyZSqeSGy0lp8gXFG08ltdlUktI2hl2SSNxRYBNJAPnejN+WXMHbkeM5wpYwJvUeeictC7sskWpLz36L0q29KVo3lIz2/wq7HJG4o8AmUoe5w/Nlp3Nn6aUUk8rolGcZlTyeFIuEXZrIfklK3UJaq/cpLhhM6fYupDRaFHZJInGlymvYzKyBmX1mZl+a2Wwzuy1of9LMlpjZ9OB1dNBuZvagmeWZ2QwzOzZmWyPNbGHwGhnTfpyZzQzWedCCWaXNrIWZTQz6TzSz5jX/IxCpm5ZFsrm05P+4ofQqcm0Zb6XdwA9TximsSZ2V1uITLHUDRfnDcdcl1iKxqvMnogg4092PAo4GBptZ/2DZr9396OC1+37sIUC34HUV8AhEwxdwC3AC0A+4JSaAPRL03b3e7kdf3wC86+7dgHeD7yL1Wpkbj5UOZVDxPcyMHM7vU/7Bv9PupHPS2rBLEzkollRKevZ4IkWtKSnsF3Y5InGlysDmUduCr6nByytZZQTwVLDeZKCZmbUBBgET3X2juxcCE4mGvzZAE3ef5O4OPAWcF7OtMcHnMTHtIvXSvEgHzi++nTtLL+OUpFm8nf4bvpPyHklW2R9JkbojJXM2yQ3zKCoYiJc2DLsckbhRrTFnM0s2s+nAOqKh69Ng0Z3Bac/7zSw9aGsHrIhZfWXQVln7ygraAXLcfQ1A8J69j/quMrOpZja1oKCgOockUqcUeQr3lVzAsOI7Wemt+EvqgzyW+ifamO6mk8RiBuk5YyHSgKL1Z4VdjkjcqFZgc/cydz8aaA/0M7MjgNFAT+B4oAVwfdC9ovlF/ADaq83dH3X3vu7eNysra39WFYl7n0e6cU7x73mw7HzODaaVGp48WdNKScJKbpBPavPJlBSeQNmunLDLEYkL+3VVp7tvAj4ABrv7muC0ZxHwT6LXpUF0hKxDzGrtgdVVtLevoB0gPzhlSvC+bn/qFanLtns6t5ZczgXFt7DT03ky9W7uS3uE5rat6pVF6rj0Vu9AUlFwA0LY1YiErzp3iWaZWbPgcwZwFjAvJkgZ0WvLZgWrvA5cHtwt2h/YHJzOnAAMNLPmwc0GA4EJwbKtZtY/2NblwGsx29p9N+nImHaRhPZRWR8GFv2BMWUDuTx5IhPSr+f05BlhlyVyyFjKDtKzJlK2oyulW3uHXY5I6KrzHLY2wBgzSyYa8F5w93Fm9p6ZZRE9pTkd+FHQfzwwFMgDdgBXALj7RjO7A5gS9Lvd3XdfgPNj4EkgA3gzeAHcDbxgZqOA5cCFB3qgInXBJm/EHSWX8VLkG3SxVfwn9Xb6Ji0IuyyRUKQ2/5SSTSdQtG4oKY3nY0mlYZckEpoqA5u7zwCOqaD9zH30d+DqfSx7AniigvapwBEVtG8ABlRVo0hd5w7jIydwS8n32EQjrkl+hWtSXtW0UlKvmUVIzxnLzuU/oHjjKaS3+iDskkRCo5kOREKWv2UXN5X8gomRvvSxxTyVehe5ScvDLkskLqQ0WkRK5iyK159BatMvSErdEnZJIqHQo6RFQuLuPPfZcs6670M+ihzJ/6U8wytpNyusiZSTnj0eSKaoYHCVfUUSlUbYREKwdP12Rr88k0mLN9D/8BbcvfJaOiXlh12WSFxKSttIWouPKd5wBmXNJ5GcsaLqlUQSjEbYRA6h0rIIj360iMEPfMSsVZu56/w+PHtlf4U1kSqktXofS9nCrrXn4q6HEEr9oxE2kUNk7potXP/SDGas3MxZvXL43XlH0Lppg7DLEqkTLKmY9Ow32bX625RuPobUZl+EXZLIIaXAJlLLikrL+Ot7eTzywSKaZqTy1+8cwzl92mCaqkBkv6Q0mU7SxhMpWjeYlMxZWHJx2CWJHDIKbCK16PNlG7n+pZnkrdvG+ce247fn5NK8UVrYZYnUSWZOg9avs2PpNRRvOJP07LfCLknkkFFgE6kF24tKuXfCfMZMWkrbphk8ecXxnN4jO+yyROq85IyVpDT9nOKNp5DabApJaRvCLknkkFBgE6lhH8xfx42vzGL15p2MPLETvxrUg8bp+qMmUlPSs96idOsRFOWfQ0aHp8IuR+SQ0L8iIjWkcHsxd4ybw8vTVtElqxEv/uhEjjusRdhliSScpNStpLV8j+KCIZRu60ZK44VhlyRS6xTYRA6Su/PGzDXc8tpsNu8s4adnduXqM7uSnpIcdmkiCSutxSeUbDqeovxhJDd6ALNI2CWJ1CoFNpGDsHbzLm56dRbvzM3nyPZN+deVJ9CrTZOwyxJJeJZURoOcN9i5ciQlhf1Ja/G/sEsSqVUKbCIHIBJxnpuygrvGz6UkEuHGob244uROpCTrWdQih0py47kkN1pAUcHZpDSZHnY5IrVKgU1kPy1dv50bXp7B5MUbOfHwltz9rT4c1rJR2GWJ1DtmkJ4zjh2Lf0ZxwcCwyxGpVQpsItVUWhbh8U+WcN/EBaSlJHH3+X349vEd9ABckRAlp68jtflkSgpPZM7qLeS21SUJkph0/kakGuas3sI3H/4fd705j9O6Z/HOL77Bxf06KqyJxIH0rHew5J3cPm427h52OSK1QiNsIpXYVRKdVupvHy6iWcNUHvrOsQzt01pBTSSOWPJO0rLeZvLib/LmrLUM7dMm7JJEapwCm8g+TF26ketfmsGigu1869j23HROL00rJRKnUpt9Rmcu58435nJmz2wapOqxOpJYdEpUpJxtRaXc8tosLvz7JHaVRBjz/X786aKjFNZE4piZc8vw3qzatJPHPlocdjkiNU4jbCIx3p+/jhtfnsmaLbsYeWInfj2oB400rZRInXBil5YM7dOahz9YxAV929OmaUbYJYnUGI2wiQAbtxdz3fPTueKfU2iYnsKLPzqJW8/trbAmUseMHtKLMnfufnNe2KWI1Cj9ayT1mrszbsYabn1d00qJJIIOLRryw9MO5y/v5fHd/ofRt5Pm85XEoBE2qbfWbN7JD56ayrX/nkb75hmMvfYUfjGwh8KaSB3349O70LpJA24dO5tIRI/5kMSgwCb1TiTiPPPpMgbe9xGf5K3npnN68fJPTtYcoCIJomFaCqOH9mTWqi28+PnKsMsRqRE6JSr1ypL127nhpRl8umQjJ3VpyV3na1opkUR07lFteWrSMv4wYR6D+7SmSYPUsEsSOSgaYZN6obQswt8+XMTgP3/EnDVbuOdbfXjmyhMU1kQSlJlx6/DebNhezF/fywu7HJGDphE2SXizV2/m+pdmMGvVFgbm5nDHeUeQ06RB2GWJSC3r074pFx7Xnn/+dwkXH9+Bw7Mah12SyAHTCJskrF0lZdw7YR7n/vW/rN1cxMOXHsvfv3ucwppIPfLrQT1JT0nmd2/MDbsUkYOiETZJSFOCaaUWF2znguOi00o1a6iZCkTqm6zMdH46oCu/Hz+P9+ev44we2WGXJHJANMImCWVbUSk3vzaLC/82ieLSCE99vx9/vPAohTWReux7J3Wmc6tG3DFuDsWlkbDLETkgVQY2M2tgZp+Z2ZdmNtvMbgvaO5vZp2a20MyeN7O0oD09+J4XLO8Us63RQft8MxsU0z44aMszsxti2ivch0hF3p+3joH3fcjTk5dxxcmdmPDz0zite1bYZYlIyNJSkvjtsF4sLtjOU5OWhl2OyAGpzghbEXCmux8FHA0MNrP+wD3A/e7eDSgERgX9RwGF7t4VuD/oh5nlAhcDvYHBwMNmlmxmycBDwBAgF7gk6Esl+xDZY+P2Yn7+3DSueHIKjYJppW4ZrmmlROQrZ/TI5hvds3jg3YWs31YUdjki+63KwOZR24KvqcHLgTOBF4P2McB5wecRwXeC5QPMzIL259y9yN2XAHlAv+CV5+6L3b0YeA4YEayzr32I4O68Nn0VZ933IW/MXMPPBnRj3E9P4bjDmoddmojEGTPjt8Ny2Vlcxp/enh92OSL7rVrXsAUjYdOBdcBEYBGwyd1Lgy4rgXbB53bACoBg+WagZWx7uXX21d6ykn2Ur+8qM5tqZlMLCgqqc0hSx63ZvJMrx0zlZ89Np0MwrdR1Z3fXtFIisk9dsxsz8qROPDdlBbNWbQ67HJH9Uq3A5u5l7n400J7oiFiviroF77aPZTXVXlF9j7p7X3fvm5Wla5YSWSTi/GvyMs6+7yP+u+iraaV6tta0UiJStZ8O6EaLhmncNnY27ppnVOqO/bpL1N03AR8A/YFmZrb7IqH2wOrg80qgA0CwvCmwMba93Dr7al9fyT6kHlpcsI2LH5vMTa/O4sj2TXn759/gylMPJzmpomwvIrK3phmp/GpQD6YsLWTcjDVhlyNSbdW5SzTLzJoFnzOAs4C5wPvABUG3kcBrwefXg+8Ey9/z6H9jXgcuDu4i7Qx0Az4DpgDdgjtC04jemPB6sM6+9iH1SGlZhEc+WMTgBz5m7pot/OFbR/LMlSfQsWXDsEsTkTroor4dyG3ThLvGz2VncVnY5YhUS3VG2NoA75vZDKLhaqK7jwOuB35hZnlErzd7POj/ONAyaP8FcAOAu88GXgDmAG8BVwenWkuBa4AJRIPgC0FfKtmH1BOzVm1mxEP/5Z635nFmj2ze/cU3uOj4DkTvSRER2X/JScat5/Zm9eZd/O3DRWGXI1ItVT73wN1nAMdU0L6Y6PVs5dt3ARfuY1t3AndW0D4eGF/dfUji21VSxgPvLuTRjxbTvGEaj1x6LEP6tAm7LBFJEP06t2DYkW3424fyJFPcAAAgAElEQVSLuOj4DrRrlhF2SSKV0kwHEnc+W7KRoQ98zCMfLOL8Y9rxzi9OU1gTkRo3emj0/rm7xmueUYl/CmwSN7buKuG3r87ior9PorgswtOj+nGvppUSkVrSrlkGP/pGF8bNWMOnizeEXY5IpRTYJC68Ny+fgfd/xL8+Xcb3T+7M29edxqnd9IgWEaldP/pGF9o2bcBtY+dQFtFjPiR+KbBJqDZsK+Jnz03j+09OpXF6Ci/9+CRuHp5LwzRNKyUitS8jLZnRQ3sxZ80Wnp+youoVREKifxUlFO7O61+u5raxc9i6q4SfDejGT87oopkKROSQG3ZkG56etIw/vj2fc45sQ9OM1LBLEtmLRtjkkFu9aSejdk8r1aIh4649VdNKiUhozIybh+dSuKOYB99dGHY5IhXSCJscMpGI88xny7nnzXmURZzfDsvleyd10kwFIhK6I9o15eLjOzDmf0u5pF8HumZnhl2SyNdohE0OicUF27j40cn89tVZHN2hGW9fdxqjTumssCYiceNXA3uQkZbM7ePmap5RiTsKbFKrSsoiPPxBHoMf+Jh5a7fwhwuO5OlR/ejQQtNKiUh8adk4nZ8N6MZHCwp4f/66sMsR+RqdEpVaM2vVZn7z4gzmrNnCkCNac9u5vclu0iDsskRE9unyEzvx7GfLuWPcXE7pmkVaisY1JD7od6LUuF0lZdzz1jxGPPRfCrYV8bfLjuWRy45TWBORuJeWksTNw3JZsn47T/5vSdjliOyhETapUZ8u3sANL89kyfrtXNS3PTcOzaVpQ90iLyJ1x+k9sjmzZzYPvpvHece0IztT/9mU8GmETWrE1l0l3PjKTL796GRKIxH+NeoE/nDBUQprIlIn3XROL4pKy/jjhPlhlyICaIRNasC7c/O56dVZ5G/ZxahTOvPLgd01U4GI1GmHZzXmipM789jHi7ms/2Ec2b5Z2CVJPacRNjlgG7YV8dN/T2PUmKlkNohOK/XbYZpWSkQSwzVndqVlozRuGztHj/mQ0CmwyX5zd16dtoqz7vuQN2et4bqzujPu2lM5pmPzsEsTEakxTRqk8ptBPfl8WSGvf7k67HKkntNQiOyX1Zt2cuMrM3l/fgHHdGzGPd86ku45eiK4iCSmC45rz9OTl3HX+HmcnZujMwgSGo2wSbVEIs7Tk5Zy9n0fMnnxRm4elsuLPzpJYU1EElpSknHL8FzWbtnFIx8sCrscqcf0XwWp0qKCbdzw0gymLC3klK6tuOv8PpqpQETqjb6dWjDi6Lb8/aPFXNS3g/7+k1BohE32qaQswkPv5zHkgY+Zv3Yr92paKRGpp24Y0pNkM34/fm7YpUg9pRE2qVDstFJD+7Tm1nN76+GRIlJvtWmawU9O78KfJi7gf4vWc1KXVmGXJPWMRtjka3aVlHHXm3NjppU6jocvPU5hTUTqvR+cdjjtmmVw+9g5lJZFwi5H6hkFNtlj8uINDHngY/7+4WIuOLY971z3DQYf0TrsskRE4kKD1GRuPKcX89Zu5d9TVoRdjtQzOiUqbNlVwt1vzuPZT5fTsUVDnrnyBE7uquF+EZHyhhzRmv6Ht+C+t+cz/Mg2NGuYFnZJUk9ohK2ee2dOPgPv+4jnPlvOlad05q2fn6qwJiKyD2bGzcN6s3lnCX9+Z2HY5Ug9ohG2emr9tiJuGzuHsV+upkdOJn/77nEc3UFz5YmIVCW3bRMu6deRpycv4zsndNTzKOWQ0AhbPePuvDJtJWff9yFvzVrDL87uzthrT1FYExHZD78c2INGacncMU7zjMqhoRG2BPfqtFXcO2E+qzftJLtJOi0apjF37VZNKyUichBaNErjurO7c9vYOUyck8/A3rpBS2qXRtgS2KvTVjH65Zms2rQTB/K3FDF37VbOP6atppUSETlIl/U/jG7ZjfndG3MpKi0LuxxJcApsCezeCfPZWbL3XyKfLikkOclCqEhEJHGkJidx8/Bclm/cwROfLA27HElwVZ4SNbMOwFNAayACPOruD5jZrcAPgIKg6/+5+/hgndHAKKAM+Km7TwjaBwMPAMnAP9z97qC9M/Ac0AL4AviuuxebWXqw7+OADcC33X1pDRz3IdHphjfCLqFCqzbtDLW2pXefE9q+RURq0qndsjirVw5/fW8h3zq2HdlN9JBxqR3VGWErBX7p7r2A/sDVZpYbLLvf3Y8OXrvDWi5wMdAbGAw8bGbJZpYMPAQMAXKBS2K2c0+wrW5AIdGwR/Be6O5dgfuDfiIiInHjpnN6UVLm3PPW/LBLkQRWZWBz9zXu/kXweSswF2hXySojgOfcvcjdlwB5QL/glefui929mOiI2ggzM+BM4MVg/THAeTHbGhN8fhEYEPQXERGJC51aNeL7p3TmpS9WMm15YdjlSILar2vYzKwTcAzwadB0jZnNMLMnzKx50NYOiJ2zY2XQtq/2lsAmdy8t1/61bQXLNwf9y9d1lZlNNbOpBQUF5ReLiIjUqmvO7EpWZjq3jZ1DJKLHfEjNq3ZgM7PGwEvAz919C/AI0AU4GlgD/Gl31wpW9wNor2xbX29wf9Td+7p736ysrEqPQ0REpKY1Tk/h+sE9mb5iE69OXxV2OZKAqhXYzCyVaFh7xt1fBnD3fHcvc/cI8BjRU54QHSHrELN6e2B1Je3rgWZmllKu/WvbCpY3BTbuzwGKiIgcCucf046j2jfl7jfnsa2otOoVRPZDlYEtuGbscWCuu98X094mpts3gVnB59eBi80sPbj7sxvwGTAF6GZmnc0sjeiNCa979BHR7wMXBOuPBF6L2dbI4PMFwHuuR0qLiEgcSkoybjm3N+u2FvHw+3lhlyMJpjozHZwMfBeYaWbTg7b/I3qX59FET1EuBX4I4O6zzewFYA7RO0yvdvcyADO7BphA9LEeT7j77GB71wPPmdnvgGlEAyLB+9Nmlkd0ZO3igzhWERGRWnVsx+acf0w7/vHxEi4+viMdWzYMuyRJEFUGNnf/hIqvJRtfyTp3AndW0D6+ovXcfTFfnVKNbd8FXFhVjSIiIvHi+iE9eWv2Wn73xhwevbxv2OVIgtBMByIiIjUop0kDrj6jK2/PyeeThevDLkcShAKbiIhIDRt1Smc6tMjg9nGzKS2LhF2OJAAFNhERkRrWIDWZG4fmsiB/G898ujzsciQBKLCJiIjUgkG9czi5a0vum7iAwu3FYZcjdZwCm4iISC0wM24e1putu0q4b+KCsMuROk6BTUREpJb0aJ3JZf0P45lPlzFv7Zawy5E6TIFNRESkFv3i7O40yUjlttfnoGe/y4FSYBMREalFzRqm8YuzuzNp8QYmzF4bdjlSRymwiYiI1LLv9OtIj5xMfvfGXHaVlIVdjtRBCmwiIiK1LCU5iZuH57KycCf/+Hhx2OVIHaTAJiIicgic3LUVg3rn8ND7i1i7eVfY5Ugdo8AmIiJyiNw4NJcyd+55a17YpUgdo8AmIiJyiHRs2ZAfnNqZV6at4vNlhWGXI3WIApuIiMgh9JPTu5LTJJ3bxs4mEtFjPqR6FNhEREQOoUbpKdwwpCczVm7mpS9Whl2O1BEKbCIiIofYiKPacUzHZtzz1ny27ioJuxypAxTYREREDrGkJOPW4b1Zv62Iv76fF3Y5UgcosImIiITgqA7NuOC49jzxyRKWrN8edjkS5xTYREREQvKbQT1IS07izjfmhF2KxDkFNhERkZBkN2nAtQO68c7cdXy4oCDsciSOKbCJiIiE6IqTO3FYy4bcMW4OJWWRsMuROKXAJiIiEqL0lGRuOieXvHXbeHrSsrDLkTilwCYiIhKys3plc2q3Vtz/zgI2bCsKuxyJQwpsIiIiITMzbh6Wy47iMv40cUHY5UgcUmATERGJA91yMrn8xMP492fLmb16c9jlSJxRYBMREYkTPx/QnWYZqdw2dg7ummdUvqLAJiIiEieaNkzllwN78NmSjYyfuTbsciSOKLCJiIjEkUv6daRn60x+P34uu0rKwi5H4oQCm4iISBxJTjJuGd6bVZt28vcPF4ddjsSJKgObmXUws/fNbK6ZzTaznwXtLcxsopktDN6bB+1mZg+aWZ6ZzTCzY2O2NTLov9DMRsa0H2dmM4N1HjQzq2wfIiIiiezELi0Z2qc1j3yYx+pNO8MuR+JAdUbYSoFfunsvoD9wtZnlAjcA77p7N+Dd4DvAEKBb8LoKeASi4Qu4BTgB6AfcEhPAHgn67l5vcNC+r32IiIgktNFDeuEOd705L+xSJA5UGdjcfY27fxF83grMBdoBI4AxQbcxwHnB5xHAUx41GWhmZm2AQcBEd9/o7oXARGBwsKyJu0/y6C0xT5XbVkX7EBERSWgdWjTkh6cdztgvV/PZko1hlyMh269r2MysE3AM8CmQ4+5rIBrqgOygWztgRcxqK4O2ytpXVtBOJfsoX9dVZjbVzKYWFGjyXBERSQw/Or0LbZo24LaxsymL6DEf9Vm1A5uZNQZeAn7u7lsq61pBmx9Ae7W5+6Pu3tfd+2ZlZe3PqiIiInGrYVoKNwzpyezVW/jP1BVVryAJq1qBzcxSiYa1Z9z95aA5PzidSfC+LmhfCXSIWb09sLqK9vYVtFe2DxERkXrh3KPa0vew5tw7YT5bdpWEXY6EpDp3iRrwODDX3e+LWfQ6sPtOz5HAazHtlwd3i/YHNgenMycAA82seXCzwUBgQrBsq5n1D/Z1ebltVbQPERGResEs+piPjTuK+cu7C8MuR0JSnRG2k4HvAmea2fTgNRS4GzjbzBYCZwffAcYDi4E84DHgJwDuvhG4A5gSvG4P2gB+DPwjWGcR8GbQvq99iIiI1Bt92jflouM68M//LmVRwbawy5EQpFTVwd0/oeLrzAAGVNDfgav3sa0ngCcqaJ8KHFFB+4aK9iEiIlLf/GpQD8bPXMPvxs3hn1f0C7scOcQ004GIiEgdkJWZzk8HdOP9+QW8P0+XdNc3CmwiIiJ1xMiTOnF4q0bcMW4OxaWRsMuRQ0iBTUREpI5IS0nit8NyWbx+O09NWhp2OXIIKbCJiIjUIWf0zOb0Hlk88M5CCrYWhV2OHCIKbCIiInXMTefksrOkjD+9PT/sUuQQUWATERGpY7pmN+Z7J3Xi+akrmLVqc9jlyCGgwCYiIlIHXTugGy0apnHr67OJPlFLEpkCm4iISB3UNCOVXw3qwdRlhYydsSbscqSWKbCJiIjUURf17UDvtk24a/xcdhSXhl2O1CIFNhERkToqOSk6z+iazbv424eLwy5HapECm4iISB3Wr3MLhh3Zhr9/uIiVhTvCLkdqiQKbiIhIHTd6aC/M4K7x88IuRWqJApuIiEgd165ZBj/6RhfemLmGyYs3hF2O1AIFNhERkQTww9O60K5ZBreNnUNZRI/5SDQKbCIiIgkgIy2Z0UN7MnfNFp6bsjzscqSGKbCJiIgkiHP6tKFf5xb8ccJ8Nu8oCbscqUEKbCIiIgnCzLhleC6bdpbw53cXhF2O1CAFNhERkQTSu21TLj6+I09NWsbC/K1hlyM1RIFNREQkwfxqYHcapiVz+7g5mmc0QSiwiYiIJJiWjdP5+Vnd+Xjhet6duy7scqQGKLCJiIgkoMtPPIwuWY343RtzKCotC7scOUgKbCIiIgkoNTmJm4f3ZumGHTz536VhlyMHSYFNREQkQX2jexYDembzl/fyWLd1V9jlyEFQYBMREUlgNw3Lpai0jHvfmh92KXIQFNhEREQSWOdWjfj+yZ35z+cr+XLFprDLkQOkwCYiIpLgrjmzK60ap3Hr2Nl6zEcdpcAmIiKS4DIbpPKbQT2ZtnwTr01fHXY5cgAU2EREROqBC45rT592TbnrzblsLyoNuxzZTwpsIiIi9UBSknHrubnkbynikQ8WhV2O7CcFNhERkXriuMNacN7RbXn048Us37Aj7HJkP1QZ2MzsCTNbZ2azYtpuNbNVZjY9eA2NWTbazPLMbL6ZDYppHxy05ZnZDTHtnc3sUzNbaGbPm1la0J4efM8LlneqqYMWERGpr64f0pNkM34/fm7Ypch+qM4I25PA4Ara73f3o4PXeAAzywUuBnoH6zxsZslmlgw8BAwBcoFLgr4A9wTb6gYUAqOC9lFAobt3Be4P+omIiMhBaNM0g5+c3oW3Zq/lf3nrwy5HqqnKwObuHwEbq7m9EcBz7l7k7kuAPKBf8Mpz98XuXgw8B4wwMwPOBF4M1h8DnBezrTHB5xeBAUF/EREROQg/OO1w2jfP4Laxcygti4RdjlTDwVzDdo2ZzQhOmTYP2toBK2L6rAza9tXeEtjk7qXl2r+2rWD55qD/XszsKjObamZTCwoKDuKQREREEl+D1GRuHNqL+flb+fdny8MuR6rhQAPbI0AX4GhgDfCnoL2iETA/gPbKtrV3o/uj7t7X3ftmZWVVVreIiIgAg49oTf/DW/CniQvYtKM47HKkCgcU2Nw9393L3D0CPEb0lCdER8g6xHRtD6yupH090MzMUsq1f21bwfKmVP/UrIiIiFTCzLhleG+27Czh/okLwi5HqnBAgc3M2sR8/Saw+w7S14GLgzs8OwPdgM+AKUC34I7QNKI3Jrzu0fkx3gcuCNYfCbwWs62RwecLgPdc82mIiIjUmF5tmvCdEzryr0+XM3/t1rDLkUpU57Ee/wYmAT3MbKWZjQL+YGYzzWwGcAZwHYC7zwZeAOYAbwFXByNxpcA1wARgLvBC0BfgeuAXZpZH9Bq1x4P2x4GWQfsvgD2PAhEREZGa8cuze9A4PYXbx2me0XiWUlUHd7+kgubHK2jb3f9O4M4K2scD4ytoX8xXp1Rj23cBF1ZVn4iIiBy45o3SuO6sbtw6dg5vz8lnUO/WYZckFdBMByIiIvXcpf0Po1t2Y+58Yy67SsrCLkcqoMAmIiJSz6UmJ3HL8N4s37iDxz9ZEnY5UgEFNhEREeGUbq04OzeHh97PI3/LrrDLkXIU2ERERASAm87pRWmZc89b88IuRcpRYBMREREADmvZiFGndublL1YxbXlh2OVIDAU2ERER2ePqM7qSnZnOrWPnEInoMR/xQoFNRERE9micnsL1g3vy5YpNvDxtVdjlSECBTURERL7mm8e046gOzbjnrXlsKyoNuxxBgU1ERETKSUoybh2eS8HWIh56Py/scgQFNhEREanAMR2bc/6x7Xj84yUsXb897HLqPQU2ERERqdD1g3uSkmzcOX5u2KXUewpsIiIiUqGcJg24+oyuTJyTz8cLC8Iup15TYBMREZF9GnVKZzq2aMjtY+dQUhYJu5x6S4FNRERE9qlBajI3ntOLheu28czkZWGXU28psImIiEilBubmcErXVtw3cQEbtxeHXU69pMAmIiIilTIzfjssl+3FZdw3cX7Y5dRLCmwiIiJSpR6tM7nshI48++ly5q7ZEnY59Y4Cm4iIiFTLdWd3p0lGKreNnY275hk9lBTYREREpFqaNUzjl2d3Z/Lijbw1a23Y5dQrCmwiIiJSbZf060jP1pncOX4uu0rKwi6n3lBgExERkWpLSU7i5mG5rCzcyWMfLQ67nHpDgU1ERET2y0ldWzG4d2se/mARazbvDLucekGBTURERPbbjef0osydu9+cF3Yp9YICm4iIiOy3Di0actWph/Pa9NVMXbox7HISngKbiIiIHJAfn96FnCbp3DZ2DpGIHvNRmxTYRERE5IA0Sk9h9JBezFy1mRc/Xxl2OQlNgU1EREQO2Iij23Jsx2b8YcI8tu4qCbuchKXAJiIiIgfMzLhleG/WbyvmL+/lhV1OwlJgExERkYNyVIdmXHhce/753yUsLtgWdjkJSYFNREREDtqvB/cgLTmJO9+YG3YpCanKwGZmT5jZOjObFdPWwswmmtnC4L150G5m9qCZ5ZnZDDM7NmadkUH/hWY2Mqb9ODObGazzoJlZZfsQERGR+JOd2YBrB3Tj3Xnr+GD+urDLSTjVGWF7Ehhcru0G4F137wa8G3wHGAJ0C15XAY9ANHwBtwAnAP2AW2IC2CNB393rDa5iHyIiIhKHrji5E51aNuT2cXMoKYuEXU5CqTKwuftHQPkn4o0AxgSfxwDnxbQ/5VGTgWZm1gYYBEx0943uXghMBAYHy5q4+yR3d+CpctuqaB8iIiISh9JTkrnpnFwWF2znqUnLwi4noRzoNWw57r4GIHjPDtrbASti+q0M2iprX1lBe2X72IuZXWVmU81sakFBwQEekoiIiBysAb2yOa17Fn9+ZwEbthWFXU7CqOmbDqyCNj+A9v3i7o+6e19375uVlbW/q4uIiEgNMTNuHtaLHcVl/PHtBWGXkzAONLDlB6czCd53X124EugQ0689sLqK9vYVtFe2DxEREYljXbMzufzEw3huynJmrdocdjkJ4UAD2+vA7js9RwKvxbRfHtwt2h/YHJzOnAAMNLPmwc0GA4EJwbKtZtY/uDv08nLbqmgfIiIiEud+PqA7zRumcfvYOUQvU5eDkVJVBzP7N3A60MrMVhK92/Nu4AUzGwUsBy4Muo8HhgJ5wA7gCgB332hmdwBTgn63u/vuGxl+TPRO1AzgzeBFJfsQERGRONe0YSq/HNidG1+ZxbF3TGTTjhLaNsvg14N6cN4x7aregHxNlYHN3S/Zx6IBFfR14Op9bOcJ4IkK2qcCR1TQvqGifYiIiEjdkJGSjAGFO6JzjK7atJPRL88EUGjbT5rpQERERGrFnyYu2OtOwp0lZdw7YX4o9dRlVY6wiYiISN00t2evUPe/esS9YHs/EGJ14Y5Qa+s1r+5Nn6URNhEREakVWTsL96td9k2BTURERGrFyNlvkl5a/LW29NJiRs5+cx9ryL7olKiIiIjUijNXTQNgTO8hFGQ0J2tnISNnv7mnXapPgU1ERERqzZmrpimg1QCdEhURERGJcwpsIiIiInFOgU1EREQkzimwiYiIiMQ5BTYRERGROKfAJiIiIhLnFNhERERE4pwCm4iIiEicU2ATERERiXMKbCIiIiJxToFNREREJM4psImIiIjEOQU2ERERkTinwCYiIiIS5xTYREREROKcApuIiIhInFNgExEREYlzCmwiIiIicU6BTURERCTOKbCJiIiIxDkFNhEREZE4p8AmIiIiEucU2ERERETinAKbiIiISJw7qMBmZkvNbKaZTTezqUFbCzObaGYLg/fmQbuZ2YNmlmdmM8zs2JjtjAz6LzSzkTHtxwXbzwvWtYOpV0RERKQuqokRtjPc/Wh37xt8vwF41927Ae8G3wGGAN2C11XAIxANeMAtwAlAP+CW3SEv6HNVzHqDa6BeERERkTqlNk6JjgDGBJ/HAOfFtD/lUZOBZmbWBhgETHT3je5eCEwEBgfLmrj7JHd34KmYbYmIiIjUGwcb2Bx428w+N7OrgrYcd18DELxnB+3tgBUx664M2iprX1lB+17M7Cozm2pmUwsKCg7ykERERETiS8pBrn+yu682s2xgopnNq6RvRdef+QG0793o/ijwKEDfvn0r7CMiIiJSVx3UCJu7rw7e1wGvEL0GLT84nUnwvi7ovhLoELN6e2B1Fe3tK2gXERERqVcOOLCZWSMzy9z9GRgIzAJeB3bf6TkSeC34/DpweXC3aH9gc3DKdAIw0MyaBzcbDAQmBMu2mln/4O7Qy2O2JSIiIlJvHMwp0RzgleBJGynAs+7+lplNAV4ws1HAcuDCoP94YCiQB+wArgBw941mdgcwJeh3u7tvDD7/GHgSyADeDF4iIiIi9coBBzZ3XwwcVUH7BmBABe0OXL2PbT0BPFFB+1TgiAOtUUTk/9u7/1ir6zqO48+XkKZhWtBYRGo1NakMkbTp1mi5ha1y9gdq/1izXCtmW38UW/UHtbHsr/yjtlj5V6UEs+SPZo0t3frhEgkT+VHKSojZMvwFbSnx7o9zbjsDGufA6X4/99znY7vbPd/v2d37wuvC634/3x+SNAl80oEkSVLjLGySJEmNs7BJkiQ1zsImSZLUOAubJElS4yxskiRJjbOwSZIkNc7CJkmS1DgLmyRJUuMsbJIkSY2zsEmSJDXOwiZJktQ4C5skSVLjLGySJEmNs7BJkiQ1zsImSZLUOAubJElS4yxskiRJjbOwSZIkNc7CJkmS1DgLmyRJUuMsbJIkSY2zsEmSJDXOwiZJktQ4C5skSVLjLGySJEmNs7BJkiQ1zsImSZLUOAubJElS45ovbElWJtmT5Mkka7qeR5Ikabo1XdiSzAG+DVwPLAFuSbKk26kkSZKmV9OFDbgKeLKq9lbVy8C9wA0dzyRJkjSt5nY9wEm8Cdg38Ho/cPWxb0pyO3B7/+WhJHumYbaZZgHwbNdDAOTOrifQSTSTFdam6wl0cs3kJZ8wL41rJiukqaxcOMybWi9sJ/oTreM2VK0H1v//x5m5kmytquVdz6H2mRWNwrxoWGbl9LS+JLofePPA68XAgY5mkSRJ6kTrhe0R4OIkb0lyJnAzsLnjmSRJkqZV00uiVXUkyWrg58Ac4O6qeqLjsWYql4w1LLOiUZgXDcusnIZUHXdKmCRJkhrS+pKoJEnSrGdhkyRJapyFTZIkqXEWNkmSpMZZ2CRJkhrX9G09NLokVwO7qurFJGcDa4BlwE5gXVW90OmAakqSO4CfVNW+k75Zs9rAvTAPVNWWJB8HrgF2Aeur6pVOB1RzkrwNuJHeDfCPAH8C7vH/oVPjbT0mTJIngHf372G3HvgnsAn4QH/7xzodUE1J8gJwGHgKuAfYWFV/73YqtSjJD+n9kn8O8DwwD7iP3r8tqapbOxxPjen/MvgR4CHgQ8B24Dl6Be6zVfVgd9PNTBa2CZNkV1Vd1v98W1UtG9i3vaqWdjedWpPk98CVwHXATcBHgUfplbf7quqlDsdTQ5L8oaouTzIX+CuwqKr+nSTAY1V1eccjqiFJHgeW9jNyDvCzqlqR5ALg/qq6ouMRZxzPYZs8O5J8sv/5Y8iR2McAAAROSURBVEmWAyS5BHDJQseqqjpaVb+oqtuARcB3gJXA3m5HU2PO6C+LnkvvKNt5/e1nAa/qbCq1bOq0q7Po5Yaqehrzcko8h23yfAq4K8lXgGeB3ybZB+zr75MGZfBF/zykzcDm/jmQ0pTvA7vpPSbwy8DGJHuB9wL3djmYmvQ94JEkDwPvA+4ESPIG4GCXg81ULolOqCTnAm+lV8r3V9XfOh5JDUpySVX9ses5NDMkWQRQVQeSnE9vKf3pqvpdt5OpRUneAVwG7Kiq3V3PM9NZ2GaRJPOq6lDXc2hmMC8allnRKMzLqfEcttllZ9cDaEYxLxqWWdEozMsp8By2CZPkC/9rF73L8KX/Mi8allnRKMzL+HmEbfKsA15H74qcwY95+Pet45kXDcusaBTmZcw8wjZ5tgE/rapHj92RxKtEdSzzomGZFY3CvIyZFx1MmCSXAgdPdLf6JAu9WlSDzIuGZVY0CvMyfhY2SZKkxrmOPGGSnJfkG0l2J/lH/2NXf9v5Xc+ntpgXDcusaBTmZfwsbJPnx/QesLuiquZX1Xzg/f1tGzudTC0yLxqWWdEozMuYuSQ6YZLsqapLR92n2cm8aFhmRaMwL+PnEbbJ85ckX0yycGpDkoVJvkTveaLSIPOiYZkVjcK8jJmFbfLcBMwHHkryXJKDwIPA64FVXQ6mJpkXDcusaBTmZcxcEp1ASd4OLAYeHnxeW5KVVfVAd5OpReZFwzIrGoV5GS+PsE2YJHcA9wOrgR1JbhjYva6bqdQq86JhmRWNwryMn086mDyfBq6sqkNJLgI2Jbmoqu6i9ww3aZB50bDMikZhXsbMwjZ55kwdeq6qPydZQe8H5UL8IdHxzIuGZVY0CvMyZi6JTp5nkiydetH/gfkwsAB4V2dTqVXmRcMyKxqFeRkzLzqYMEkWA0eq6pkT7Lu2qn7dwVhqlHnRsMyKRmFexs/CJkmS1DiXRCVJkhpnYZMkSWqchU3SrJWeXyW5fmDbqiTe1FNSUzyHTdKsluSdwEbgCmAOsB1YWVVPncbXnFtVR8Y0oiRZ2CQpyTeBw8BrgJeq6utJbgU+B5wJ/AZYXVVHk6wHlgFnAxuq6mv9r7Ef+C6wEvhWVW3s4FuRNKG8ca4kwVpgG/AysLx/1O1G4JqqOtIvaTcDPwLWVNXBJHOBXybZVFU7+1/ncFVd28U3IGmyWdgkzXpVdTjJBuBQVf0ryXXAe4CtSaB3NG1f/+23JLmN3r+fi4AlwFRh2zC9k0uaLSxsktRztP8BvUfn3F1VXx18Q5KLgc8DV1XV80l+ALx64C2Hp2VSSbOOV4lK0vG2AKuSLABIMj/JBcBrgZeAF5O8EfhghzNKmkU8wiZJx6iqx5OsBbYkOQN4BfgMsJXe8ucOYC/g43UkTQuvEpUkSWqcS6KSJEmNs7BJkiQ1zsImSZLUOAubJElS4yxskiRJjbOwSZIkNc7CJkmS1Lj/AGWPc+nZhz4VAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Breakup of Accident by Year\n",
"plt.figure(figsize = (10, 6))\n",
"print(acc_df_top_state.groupby(['Year'])['COUNTER'].sum())\n",
"ax = acc_df_top_state.groupby(['Year'])['COUNTER'].sum().plot(kind='line', linestyle='-', marker='o', use_index=False)\n",
"acc_df_top_state.groupby(['Year'])['COUNTER'].sum().plot(kind='bar', color=['C0', 'C1', 'C2', 'C3'], title='No of Accidents by Year', ax=ax)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Accidents Kept increasing from 2016 to 2018.\n",
"* Accidents comparatively looks low in 2016 since data start from Mar 2016. Jan/feb is missing.\n",
"* Accident Sharply declined in 2019 since for 2019, we have data till Apr'19."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Month\n",
"1 97312\n",
"2 91056\n",
"3 103299\n",
"4 79114\n",
"5 73921\n",
"6 79006\n",
"7 82317\n",
"8 105856\n",
"9 99232\n",
"10 104450\n",
"11 106232\n",
"12 92477\n",
"Name: COUNTER, dtype: int64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa886be6048>"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Breakup of Accident by Month\n",
"plt.figure(figsize = (10, 6))\n",
"print(acc_df_top_state.groupby(['Month'])['COUNTER'].sum())\n",
"ax = acc_df_top_state.groupby(['Month'])['COUNTER'].sum().plot(kind='line', linestyle='-', marker='o', use_index=False)\n",
"acc_df_top_state.groupby(['Month'])['COUNTER'].sum().plot(kind='bar', color=['C0', 'C1', 'C2', 'C3', 'C4', 'C5'], title='No of Accidents by Month', ax=ax)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* March, August, October and November has highest number of accidents"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Month\n",
"1 64427\n",
"2 61034\n",
"3 69031\n",
"4 52221\n",
"5 48686\n",
"6 49314\n",
"7 52612\n",
"8 70707\n",
"9 65755\n",
"10 70169\n",
"11 71288\n",
"12 61709\n",
"Name: COUNTER, dtype: int64\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa886bdeac8>"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Which months have most severe 2 accidents\n",
"plt.figure(figsize = (10, 6))\n",
"print(acc_df_top_state.loc[acc_df_top_state[\"Severity\"] == 2].groupby(['Month'])['COUNTER'].sum())\n",
"ax = acc_df_top_state.loc[acc_df_top_state[\"Severity\"] == 2].groupby(['Month'])['COUNTER'].sum().plot(kind='line', linestyle='-', marker='o', use_index=False)\n",
"acc_df_top_state.loc[acc_df_top_state[\"Severity\"] == 2].groupby(['Month'])['COUNTER'].sum().plot(kind='bar', color=['C0', 'C1', 'C2', 'C3', 'C4', 'C5'], title='Months have Severity 2 accidents', ax=ax)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa886a6da58>"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Which months have most severe 3 accidents\n",
"plt.figure(figsize = (10, 6))\n",
"# print(acc_df_top_state.loc[acc_df_top_state[\"Severity\"] == 2].groupby(['Month'])['COUNTER'].sum())\n",
"ax = acc_df_top_state.loc[acc_df_top_state[\"Severity\"] == 3].groupby(['Month'])['COUNTER'].sum().plot(kind='line', linestyle='-', marker='o', use_index=False)\n",
"acc_df_top_state.loc[acc_df_top_state[\"Severity\"] == 3].groupby(['Month'])['COUNTER'].sum().plot(kind='bar', color=['C0', 'C1', 'C2', 'C3', 'C4', 'C5'], title='Months have Severity 3 accidents', ax=ax)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa886a66b70>"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Which months have most severe 4 accidents\n",
"plt.figure(figsize = (10, 6))\n",
"# print(acc_df_top_state.loc[acc_df_top_state[\"Severity\"] == 4].groupby(['Month'])['COUNTER'].sum())\n",
"ax = acc_df_top_state.loc[acc_df_top_state[\"Severity\"] == 4].groupby(['Month'])['COUNTER'].sum().plot(kind='line', linestyle='-', marker='o', use_index=False)\n",
"acc_df_top_state.loc[acc_df_top_state[\"Severity\"] == 4].groupby(['Month'])['COUNTER'].sum().plot(kind='bar', color=['C0', 'C1', 'C2', 'C3', 'C4', 'C5'], title='Months have Severity 4 accidents', ax=ax)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Which months have more Severe accidents ?\n",
"* Severity 2 : Mar & Aug\n",
"* Severity 3 : Mar, Aug & Nov\n",
"* Severity 4 : Mar and Jan"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7fa8869e5550>"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"text/plain": [
"<Figure size 1152x432 with 0 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x360 with 4 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Breakup of accidents by Severity and Year\n",
"plt.figure(figsize = (16, 6))\n",
"sby_df = acc_df_top_state.loc[acc_df_top_state[\"State\"] == \"CA\"].groupby(['Year', 'Severity', 'State'])['COUNTER'].sum().reset_index()\n",
"sns.factorplot(\"Severity\", \"COUNTER\", col=\"Year\", data=sby_df, kind=\"bar\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Since 2018 leads in accident, Severity data follows accordingly. Sever 2, 3 4 increased between 2016 to 2018."
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa886b99320>"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Which state has highest severity 4 ?\n",
"plt.figure(figsize = (10, 5))\n",
"acc_sev = acc_df[acc_df.Severity == 4][['State', 'Severity']]\n",
"sns.countplot(x='State', data=acc_sev, order = acc_sev['State'].value_counts().iloc[:10].index)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa84a5c0dd8>"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Which state has highest severity 3 ?\n",
"plt.figure(figsize = (10, 5))\n",
"acc_sev = acc_df[acc_df.Severity == 3][['State', 'Severity']]\n",
"sns.countplot(x='State', data=acc_sev, order = acc_sev['State'].value_counts().iloc[:10].index)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa883ee2e80>"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 720x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Which state has highest severity 2 ?\n",
"plt.figure(figsize = (10, 5))\n",
"acc_sev = acc_df[acc_df.Severity == 2][['State', 'Severity']]\n",
"sns.countplot(x='State', data=acc_sev, order = acc_sev['State'].value_counts().iloc[:10].index)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa8511b2668>"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Top 10 County having highest accidents\n",
"plt.figure(figsize = (10, 5))\n",
"sns.countplot(x='County', data=acc_df, order = acc_df['County'].value_counts().iloc[:10].index)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa84a49c9e8>"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Top 10 Zip Codes having highest accidents\n",
"plt.figure(figsize = (10, 5))\n",
"sns.countplot(x='Zipcode', data=acc_df, order = acc_df['Zipcode'].value_counts().iloc[:10].index)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# DescriptionShows natural language description of the accident.\n",
"plt.figure(figsize=(10, 6))\n",
"desc = acc_df[\"Description\"].str.split(\"(\").str[0].value_counts().keys()\n",
"wc_desc = WordCloud(scale=5,max_words=100,colormap=\"rainbow\",background_color=\"white\").generate(\" \".join(desc))\n",
"plt.imshow(wc_desc,interpolation=\"bilinear\")\n",
"plt.axis(\"off\")\n",
"plt.title(\"Top 100 Accident Description\",color='b')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead tr th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe thead tr:last-of-type th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr>\n",
" <th></th>\n",
" <th colspan=\"5\" halign=\"left\">Distance(mi)</th>\n",
" </tr>\n",
" <tr>\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>median</th>\n",
" <th>min</th>\n",
" <th>max</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Severity</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>17</td>\n",
" <td>0.065294</td>\n",
" <td>0.000</td>\n",
" <td>0.0</td>\n",
" <td>1.060000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>814</td>\n",
" <td>0.016081</td>\n",
" <td>0.000</td>\n",
" <td>0.0</td>\n",
" <td>3.300000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1455524</td>\n",
" <td>0.176903</td>\n",
" <td>0.000</td>\n",
" <td>0.0</td>\n",
" <td>227.210007</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>715582</td>\n",
" <td>0.379631</td>\n",
" <td>0.000</td>\n",
" <td>0.0</td>\n",
" <td>333.630005</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>72002</td>\n",
" <td>1.623471</td>\n",
" <td>0.611</td>\n",
" <td>0.0</td>\n",
" <td>138.910004</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Distance(mi) \n",
" count mean median min max\n",
"Severity \n",
"0 17 0.065294 0.000 0.0 1.060000\n",
"1 814 0.016081 0.000 0.0 3.300000\n",
"2 1455524 0.176903 0.000 0.0 227.210007\n",
"3 715582 0.379631 0.000 0.0 333.630005\n",
"4 72002 1.623471 0.611 0.0 138.910004"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Distance(mi) by Severity The length of the road extent affected by the accident.\n",
"acc_df[['Distance(mi)']].groupby(acc_df['Severity']).agg(['count', 'mean', 'median', 'min', 'max'])"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"R 82%\n",
"L 17%\n",
" 0%\n",
"Name: Side, dtype: object\n"
]
}
],
"source": [
"# Which side of Lane has more accidents\n",
"print((acc_df['Side'].value_counts(normalize=True)*100).astype(int).astype(str) + '%')"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7fa82d336be0>"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1080x360 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#SideShows the relative side of the street (Right/Left) in address field.\n",
"side_df = acc_df.groupby(['Side', 'Severity'])['Counter'].sum().reset_index()\n",
"sns.factorplot(\"Severity\", \"Counter\", col=\"Side\", data=side_df, kind=\"bar\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* US drives on right. Right Side is obvious choice"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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OUq5KJuAM8JOf/oRDhw61Y1KRz3fs2DF++5vfkupMZ3DK5VhnmGnT1dOd3gn9efvtt1m0aJENKUXOzqZNm5g3bx4Tu5TTLdl32p/d1qsIb0M9f/3rX3R8bBPLmDNe4hpVRowYYTZt2mR3jKhWV1fH7377WzZt3sykunom1Dd87t8xwJKUZFYlJzFm9Gge+NGPSEpKavuwEpcOHTrErFmzWL5iBZbTTbjzYOh0MTjdZ/9Jdp1cHO2ia87ti4dDULIbR9GHmICXsWPH8uUvf5n+/fuf2+cROQt1dXUsWLCAOW/MobKqkpS8ZNxdXKc9pmZpLQBpk1NPuz9UE6JuWQOusIvp105nxowZ6DIesZPX62XOnDnMnjWbcNAwJjWPZGcKABtqGlf/HpV25anHh02YzXXrKAuUMO6Kcdx737106dLFluwiZ7JixQr+/Kc/keNp4MeD9uNxGP68o3EG2Q8uabyGfHlRB2Yf6szI3Fx+/OCDJCe38kn4OGVZ1mZjzIjPfZwKrhQUFPCbX/2KoqIirqupJdfr+/y/1My6pEQWpKbQvXt3fvbQQ/Tq1auNkko82r17N7NmzWbdurVYThfh7IHQdQi4Es/9k7W04DYJ+aFoO46SnZign+HDh3PbbbcxePDgM45GiJyL0tJS5s6dyzvz3sHb4MXdxUXikARcOa5PPPbTCi40llzvVh/+QwEcDgdXTbiKm2++mT59+rT5v0GkiTGGFStW8Oyzz1FWVkpnd1cGJg0+VW7hzAUXIGSCHPDu46B/H1hw4003ctttt5GSkoKIXQKBADNnzmTmzJn0T2/ga/0LSXU3jtB+vOACrCzOZPahLvTq1Yuf/uwhunfvbkvuWKKCK58rGAwyZ84cXnzxRZJDIW6rqKJXCxeNKnC7eTUzHb/Lxd333MP111+P03mOq9iKnBQKhVi3bh1vvPEGO3bswHIlEM65qHHE1t2CYtvkfAtuk6AfSnbhOLETE2igX7/+3HTTjVx55ZW43ecwoixC4+yE1157jeXLlxMKh3D3dJN4ccJnTkn+rILbJFQXxrfLR6AgSDgYZviI4Xzx1i8yZMgQnZCRNhMKhfjwww954YUX2LNnD+muTC5KHEyWO/sTj/20gtvEG25gT8MOjvmPkJGewe133M7EiRM1GibtLj8/n3/8/W8cO17E6Owq/k+fItyOjzrUmQouwI7KFJ4p6I4/7GTGjTfy5S9/WSdqzoMKrnymnTt38vijj7L/4EEG+fxcX1NL8nk+F2otizfTU9nt8XBh//58+zvf4cILL2ylxBIPKisrWbx4Me+8M4+SkhNYiWmNxTb7QnB+cvXYc9ZaBbdJKAjlBY1Ft6GSzMwOTJ9+LdOmTSM7+5MHcyLQWAD27NnDhg0bWLd+HYcPHcZyWXj6ukm4KAFn6ucvj3E2BbdJ2BfGt9dPYG+QUEOIjtkdGTN6DKNGjeLSSy/F42mFny2Ja8YYdu3axcqVK3l35btUVFaQ6Eykf8LFdPP0/NQTKp9XcJtUBSvY1bCNimAZbrebkSNHkpeXR25uLomJ53HSU+RzFBQU8L8vvMDGTZvonBTk1p7HGZRZ94nHfVrBBagOOJl7JId1JZlkZKRzx51fYfLkyXrtbQEVXDmj4uJi/vd//5fly5eTDkyvquGSVtwCxQBbEzwsSE+jDph89dXccccdugZMPpUxhm3btjFv3jxWr17duCBDWhdMp4shs0fj/rStpbULbhNjoPoo1omdUHUUh8PBqFGjmT79Wi6//HIcjkjbclzaW0NDA1u2bGHDhg2s37CemuoasBq3+HFd4MLTx33a/raf51wKbhMTNPgPBwgUBggVhQkHw3gSPIwYPoJRo0YxcuRIMjMzz/nfJvHJGENBQQErV65k5YqVlJSW4LScZLs60cXTjU7uLjitT06vb+5sC27T16sMlXPcf5Ti4DF8IS8JCQmMGTOGvLw8hg0bpsIgrWbnzp3MnPkyGzduIslluPaCE0zoXIHrU16mP6vgNjlUm8jsw13YX5NIx6wO3HLrF5k2bZpO0pwDFVw5TXl5ObNnz2beO+9AKMTYunrG1zeQ0EZfz2tZrEhOYn1yEg6Xi+tvuIFbbrlFB09ySmVlJUuXLmX+ggUcP3YMy+UhnNUPcgZCUhs9T9qq4Dbnq2lckKpsHybgJSenE9OmTeXqq6/WiZ44c+LEicZCu349H3z4AaFgCIfHgbOrE083F64L3Dg8LZsq3JKC25wJGoLFQfxHg4SOhQjVh7AsiwEDBjB69GhGjRpF7969NZVZPuHQoUOsXLmSFStWcPz4cSzLQbYrhy7ubnTydMVtnf1lGudScJszxlAeLOW4v5AToSL8IR/JSclcMe4K8vLyuOyyy3C5Prtci3ycMYbNmzfz6uxZfLh1G6luw8TOpeR1riDZ9dlbYp5NwW38GrCzKpmFx3LYW5NEeloqM268ienTp5Oent5q/5ZYpYIrQOMB1pw5c5g/bx6hYJDLG7xcVd9ARjvtXVvhcLAsJZkPExPwuD1M/8J13HjjjZq+GadCoRCbN29m0aJFrF+/gXA4BGmdMB0vhA69z21F5JZoj4LbJByCikNYZXuh+jiWZTF8+HCmTZvGyJEjda1ujKqvr2fVqlUsWbqE7du2A+BKd+K8wIm7mxtXjvNT97I9F+dbcJszxhCqCBM4GiB4LESwrHEthh49ezDl6ilMnDiRrKys8/46Er2OHj3Ku+++y4rlKzh85DAWFlnubLq4u9HZfQEeR8tGTltacJsLmzBlwRKO+wspCRYRCAdITU1j/PgrycvLY9CgQVoTRD6T3+/n3//+N2/MeZ3DRwrJTAgzuXMJ4zpVkuA8u550tgW3uX01SSw4ms2OqhQ8HjdXXz2FGTNmaDGqz6CCG+cKCgqYM2cOK1eswITDDG3wklffQFY7FduPK3E6WJncWHQdTieTJk3ixhtvpHfv3rbkkfZVWFjIkiVLWLx4CZWVFVjuJMJZfRuvrW2r0dozac+C25yvBkr24igvwPjrSE1LY/KkSUyZMkUr28aAcDjMBx98wJIlS1izZg1+vx9XuhNXbxeenm6c6a1/cN2aBffjwvWNZdd/IEiwNHjq5MzVV1/N6NGjNQ00ThQXF/Puu++ycsVKCvYXANDB1ZEu7m508VxAguP8p1W2RsFtLmRClAaKOe4/SmmomGA4SGZGJnkT8hg/fjwXXXSRLhmRU8rKypg/fz7z3nmbquoaeqT4mdS5lOEdqz91KvKnaUnBbXK0PoF/F3UgvyyTkIGRuSO5YcYMhg4dqlk0H6OCG4dCoRDr169n7ty5bN26FQ8wvL6BsQ1eMm0qth9X4XCwJjmRLUlJBIDLhw7lhhkzGDFihM6wxpimkayFCxexa9dOsCzI6I7p2B8yuoPDhu+3XQW3iQlD9TEo3Yuj8gjGhOnXrz/Tpk0lLy+PtLQ0e3JJixQWFrJ06VKWLltKWWkZDo8DV08XCX3cOLOdbXpg0pYFt7lQdQj//gCBQ0FCdSGSU5KZkDeByZMnc9FFF+ngK8bU1dWxdOlSVixfwa7duwDIdHWg88lSm+Ro3dWLW7vgNhc0QUoCxRT5CykNniBkQmRnZ5OXl8e0adM0ShanjDFs376dt99+mzWrVxMOhxmcWcukLuUMSK+npS9p51Nwm1QHnKws7sCqko7U+C26d7uA62+YwaRJk7Ry+EkquHGkoqKCRYsWMe/ttyktLyfDwOi6OoZ7fSRF6Pe33rLYmJhAfmoK1UCnnByu+8IXuPrqq3WdbhRreuNYtGgR7767Cr/fh5WU2Xhtbcd+4LH5BdrugttcwAvl+xuv1a0vx+Vyc8UVY5k6dSqXXXaZRhki2M6dO3nllVfIz89vXCiqa+MiUe5ubixX+xS+9iq4TUzYEDwRwr/fT6AwiAkaLhxwIV+67UuMHj1az9coV1JSwptvvsmC+Qto8DaQ7spoHKl1dztt39rW1pYFt7mgCVDsP05R4CilwRLAMGrUKG6++WYGDRqkEzVxoLa2lpUrVzLvnbc5cPAQyS7DmOwK8jpXkJMYOO/P3xoFt0kgbLGlLI3lJzpyqDaBpMQEJl89hSlTptC/f//z/vzRTAU3xjVNiVuwYAFr16whFA7TNxBgVH0DA/0BomUsNATs9HjYkJzEQbcLl9PJuCuv5JprrtFejVGkoqKCpUuXsmDhwo8WjMrs1TgFOSWHFp8SbW2RVHCbqy+D0n04yvdjgj5ycjoxdWrjm5kWpooMxhi2bNnCrFmz2Lp1K84EB+4BbhL6eXAkt3+5a++C25wJGPwH/fh3BQjWhOjeozu3ffE2JkyYoIV9oszevXt5/fXXWbVqFSZs6Oy+gD6J/clwdWiXr99eBbc5X9jLYd8BjgQO4g/5uLD/hdx8y82MGzdOM8liTDgcZuvWrSxatIg1q1fhDwTpluJnQqcycjtWn/X1tWejNQtucwdrE1le1IEtFRkEw9Cvbx+mTJ3GVVddFZezvlRwY1R5eTlLlixh4YIFFBUXkwRcXt/ACK+XnFBkTENuqWKnk02JCbyfnIQX6Na1K9OuvZbJkydrVDcChcNh3n//febPX8C6detOLhjVuXEKcnssGNUSkVpwm4SDUHkYq3QfVB/DsixG5OZy7TXXkJubq4MvG4RCIdatW8crs16hYF8BzmQnnosai63ltu/EjZ0Ft4kJGwKHA/h2BghWBMnOyebWW25lypQp2vYignm9XvLz83nnnXfYunUrLoeb7u6e9EroR5KzfWfZ2FFwm4RMkKP+IxzyF1AXrCUnO4frb7ievLw8nViMcoWFhaxcuZKlSxZTVHyCJJchN6uSsZ0q6Znsa5Nz7m1VcJvUBR1sLE1nXWkWh+s8uF0uxowdy1VXXcXw4cPjZuFKFdwYEgqF2LhxI4sWLiQ/P5+wMfQOBBnR0MAlPj+x9pT2A9sTEtiUnMhhlwunw8Go0aOZNm0aw4YN00G+zaqrq1m8eDFvv/MOJ4qLsdyJjVOQ23vBqJaI9ILbnK+m8Vrdsn0Yfz1ZHTsy/dprmTZtmla0bWNer5f33nuPdevWsW79OmpranGlOfFc7MHTx43ltH9GQiQU3CbGGALHgvh3+AmUBPF4PAwfMZwxo8cwatQobX0RAZpK7apVq8jfkI8/4CfJmUxPTx+6J/Q+p619WpOdBbeJMYYTgSIO+fdRHigD4KKBFzE+bzzjxo1T2Y0SJSUljdtXLf83BfsPYAED0usZm1PJ0KwaPI627TttXXCbO1KXwNqSDDaVd6A2YJGSnMS4K8eTl5fHpZdeGtPHySq4MeDo0aMsXryYJYsWUVFVRSqNo7XDvF6y23G0dn5K4xnda+vq2+1rNjnhdLLl5KhuHdAxK4spU6cyZcoUunTp0u554tm+fft4++23+ffy5QQDAUjrgskeAB16giNKpiVGU8FtEg5D1RGskt1QfQyn08m4ceO4/vrrufjiizWNv5VUVlaSn5/PunXr2LxlMwF/oHHRqK5O3D3duLu5WmV7n9YSSQW3iTGGUEkI/6EAwaMf7a07aNAgxo4dy5gxY/S63Y4aGhpOldqN+RvxB/wkOBPp7OpKZ/cFZLmybX/9iISC21xdqJYi/1GKg8epDlYCMHDgQMaPbyy7nTp1sjmhNFdZWcnq1atZsfzfbN+xE4DeqT5GZFUyvGMNmZ5gu2Vpz4LbJBSGndUpbCpL5/2KDHwh6JCZwfi8CeTl5cXkQoAquFHK5/OxZs0aFi5YwNZt2xrPQPn8DPd6GWDTtbXPZjSefb+3qtqGr94oCOz2eNiclMg+jxsDDB06lKlTpzJ27FhtW9FGwuEw+fn5vD5nDtu2bsVyuhpHa3MuguT2uUarVUVjwW3OWwUnduMo34cJ+hkwYCA333wTV1xxRUyfsW0rx44dY/369axZu4adO3ZijMGZ4sTVzYm7uxtXp9bZs7YtRGLBbc4YQ6g8RKAwSPBoiGBl44Fmr969GDtmLGPHjqVfv34xd/Blt+rqajZt2sSaNWvYtHHTaaW2i7sbHVwdI+r/PNIKbnNnKrsDBgzgyiuvZNSoUXTv3j2i/i/jRV1dHWvXrmXlihW89/57hMOGC5IDjMiqZETH6lZZMKol7Ci4zfnDFtsfBzngAAAgAElEQVQqUtlYls62qjSCYejcKYcJV00kLy8vZrYkVMGNMgcPHmTBggUsW7KEuoYGsoxhWF09l/t8pIft/R5FQsFtrsrhYEtiAu8lJ1FhWaSlpDB5yhSuueYaevToYXe8mNC06fnsV19tXDQqIZVwzkWN05BdCXbHa7loL7hNQgEoK8BxYgfGW03H7GxuveUWpk6dqmsfP4MxhoKCAtatW8fqNas5fKjxQMTVwXWq1Do7OKLioDXSC+7HhWoay27gaJBgSRAMZGd35IorxjF27FgGDRqkkzQtYIzh0KFD5Ofns379enbt2oUxJqJLbXORXHCbayy7xygOHjtVdrt07sKo0aMYNWoUgwcPjptrIO0QDod57733WLhgARs2bCAQDNIxMcSIrApyO9bQLdlnd0TbC25zDUEH71eksqksg13VKYQN9OzRnSlTpzF58mQyMjLsjthiKrhRwO/3s3r1aua98w47du7ECVzi9THC66V3IEikbLoQaQW3SRjY73azKSmBnQkJhIEhgwdz7fTpXHHFFXqzaQGv18vChQuZ/eqrVJSXY6VkE+48CDr0AitSnpHnIVYKbhMThqpCrOLtUFNMWno6N990E9dddx0pKW23tUc0CYVC7Nixg7Vr17Jm7RpKTpQA4Orkwt3NhbuHG2dq9D23o63gNhf2hgkcDRIoDBAsCmFChtS0VMaMHsPYsWO5/PLLSUiI4hNpbczv9/PBBx+wceNG1q9bT0lp43M6w5VJtqszOe4uZDgzI7bUNhctBbe5hlA9JcFiSgJFlAVLCZsQiYmJDB8+nJEjR5Kbm0uHDlE4wykCVVRUsHjxYhbMn0fxiRJS3YbcrApGdKymT6o3YjZogMgquM1VB5y8V55Gflkm+2sScbmcjBt3Jddeey2DBw+OiteJ5lRwI1hJSQnz5s1jwbx5VNfW0tEYcuvqGer1kRKB349ILbjN1VoWWxIT2JSSTIVlkZmezjXTpzN9+nQ6duxod7yI5/f7WbhwIS/PnElVZWXj9bVdhkD6BZGzxU9riLWC21xNMVbRh1B1lJSUVG677Yt84QtfiMsR3UAgwJYtW1i7di1r162ltqYWy2nh6uzE3aPxelpHYvSV2uaiueA2ZwKGwPGTZfdYiLA/jCfBQ+6IXMaOHcuoUaN0sobGkdr8/HwWLljIlve24Pf7cTlcZDmzyXF3IcfdmURHkt0xz1k0FtzmgiZIeaCEkkAxpaFiGkINAAy4cADj88Yzffr0uHwNPl8HDx7klVdeYfWqVYTCYQakNzCuUzlDO9TibuPFoloqUgtuc0frPaw+0YENZZk0BC16dO/GLbd+kYkTJ0bNFm8quBFo9+7dzJkzh9WrVmGM4SKfn1ENXvoGAkRyhYiGgtskDOzzuNmQlMhejweH08n48eO56aab4n5z7DMxxrB8+XKee/55ykpLG4vtBZdDWme7o7WNWC64TepKsY69B1VHSc/I5Ct33sHUqVPjZvpnZWUlD//Xw+zZvQeHx4GzqxNPDzfuri5bt/VpbbFScJszIUPwRPDUdbuh+hBZHbP41S9/FTPXj7XEtm3beO6559i5cydJzmRyTo7SZrmycVrR/XMd7QW3OWMMNaEqSgLFlASLqAxW0CGzA7ffcTtTpkyJmgJhp/379/Pyyy+zZs0aEpyGcTkVjOtUSZckv93RPlc0FNwm/pDF5vJ0lhdncaQugc452dz25f/D5MmTI372owpuhDDGsGnTJl6dPZut27aRCAyvb2BUg5cO4ejYtzaaCm5z5Q4H65MS2ZKchA8YetllfPG22xg6dGjUTcloC7t37+bJv/2NPbt3Y6V0JHzBcEjvGlsjth8XDwW3SU0x1rEtUFNM7959+MY3vs6ll15qd6o2dfToUX720M84UXKCpJGJeHpGxpY+bSEWC25zxhiCJ0I0rPPiNm4e/sXDDB061O5Y7erAgQO88PwL5G/MJ9GZRN+EAXT39MIRC5eLnBRLBffjKoJl7PHuoCJQRteuXbnrrrsYN24cDkfsfP9ay5EjR3jhhRdYu3YtSS7DVZ3LmNilnBRXdBwnQ3QV3CbGwLbKFOYd68Sh2gRysjty+x13MmnSpIg9Ka6CazNjDBs2bOBfL73EvoICMgyMratjuNdLQpT9l0drwW3itSw2JiawLjWFGmDggAHcfscdDB8+PC6Lrtfr5cUXX+SNN9/E4U4idMHl0LF/bBfbJvFUcKHx3aviEI6jmzC+WqZOncr9998fk1M+d+7cyS8e/gUNgQaSxyfiyo7t0ZJYL7hNwnVh6lY2YGoMP/jBD5g4caLdkdrc8ePHeemll1i+fDkuy0WfhAvpldAXpxV7z+lYLrjQeCxYEihir28nNcFq+vXrz91338WwYcPi8vjj48rKynjppZdYvGgRHmeYSZ1LmdilguQoKrZNorHgNjEGdlal8NbRxqLbs0d37rn3PkaOHBlxz9NWK7iWZQ0FrgQuABqAbcAyY0xVawRtDZFWcD/88EOee/ZZdu/ZQ5YxjK+t4zKvj2h9a4r2gtskCGxJTGBVagqVlsWgSy7hnnvv5ZJLLrE7WrvZt28fv/71bygqOo7JGQjdh4MzTrZYOrwBSvc1fpyc1XjrOcreTO0lHIRj72MVbycrK4ufPPgggwcPtjtVq/D5fMyaNYvZs2djJUNyXhLO9Mg889ya4qXgAoT9hvpV9QSKg0ycOJH777+fzMxMu2O1urKyMmbOnMmCBQuxDPT09KFP4gA8jth9jY71gtvEGMMx/xEKfLupD9UxePBg7r777rg6/miupqaG1157jTfffINQMMD4nHKu6VZGmjtkd7QWi+aC28QY2FKexltHO3OiwcWgSy7h7nvuYdCgQXZHO+W8C65lWbcD3wcKgc3ACSARGACMAbYADxtjClsrdEtFSsEtKiri6aefZu3atWQYmFBby+Veny1717amWCm4TYLA5sQEVqalUgPkjR/PvffdR05Ojt3R2tTy5cv581/+QsjhIdxrXON05HiyawFWbfGp35rUzvEzktukrhTHwVVYvlq+8Y2vc91119md6Lxs2rSJxx5/jBPFJ/D0dpM0LDHqF486G/WbG/Dtb7wmzdXBibODk+Th0bfA0LkwIYN3mw/fTj9JSUnce8+9TJs2LSame1ZXV/Pqq68yd+5cgsEQ3T296Jc4ICoXjTpX8VJwm4RNiCO+Q+z378EX8pKbm8tXvvIV+vXrZ3e0duH1epk7dy6vzp5FfX0DIzpW8YXupbbtXduaYqHgNgmFYXVJJvOPdaLa7yA3dwR33XU3ffv2tTtaqxTc7wLPGGPqPuXPRwAdjDFLzitpK7C74IZCIV5//XX+9dJLEAhwZV09V9Q3ENmXaZ+9WCu4TfzAquQkVqck4/J4uPOuu7j++usj9rqD8zF//nwee+yxxkWk+uaBO/YPnD5BBbdR0Id1YBVUFXLXXXdx22232Z3onJWWlvKPf/yD1atX40p3kZibgLtztM6ROXc1S2sJnvhopMPVyRkXI7kAoaoQDZu8BIqDDBw4kG9/+9tRWw7Ky8t55513ePONN2nwNnCBpwf9Ey8i2Rl7lxCcyc76DznqaywDaa4M0p0ZXJwc2+sENAmaIId9+zno24c/7GfcuHHccsstDBw40O5obSIcDrN06VJeeP45KiqrGJJZy/U9SugeAfvXtpZYKrhNfCGLFcUdWHw8h/qgxcSJE7n33nvJysqyLZOuwW0nhYWF/OH3v2fP3r1c7PMzvbaOjChZPOpsxWrBbVLhcPBOWip7PG4GXXwx//nAA3TtGjujm2vXruWXv/oVpF+A6TcRHLFX4M+KCu5HTBgOrMYq38/3vvc9pk6daneis1JbW8trr73GG2++QSAYIGGQh8SLE2J2IalPE88FFxqne/oPBvC95yfsCzNp0iRuv/12OneOjtXf9+3bxxtvvMHKlSsJhUJ0dnelf9LFpDnT7Y7WrjbUrKIiWHbq9x1cHeNmJLdJIOzngG8fh/0HCIYDXHzRxdx4042MHTs2Zk6279mzhyefeJzde/bSJ9XLzT2L6ZfWYHesVheLBbdJXdDBkmMdWVbcEbcngf/zf2/nhhtusGXF5dYYwV1gjLnm5Mc/Msb8vpUzthq7Cu67777LX/78Zxw+H9dV1zDEF/nLmLdErBdcAAN8kOBhXnoajqQkfvjAA4wZM8buWOetpqaG++67n5qQm/CAaeCMn1GuT1DBPV04jLVvCYn+Sp5++imys7PtTvSpvF4vb7/9Nq/MeoX6unrcvdwkXZqAMy02DgDPVbwX3CZhXxjvdh/+vQEcOLjuuuv40pe+FJHX54ZCIdavX88bc95g+47tuBwuLnD3pFdCX1Kc8fe9AxXc5oImQKHvMEcC+6kL1tGxYzYzZtzA1KlTSUtLsztei82ZM4dnnnmaNHeYG7sXMTK7GkcMno+cfagT60syAOie7KN7ipcv9jphc6rWd8Lr5tVDndlWmUqf3r34/R/+SGpq+75+nW3B/ayLV7o0+/hL5x8pdhhjeOmll/jtb39LTl09/1FWEbPlNl5YwFCfn/8oqyCztpb/+Z//Yfbs2UT7DIc333yT6uoqwr3GxHe5lU9yODC9xuLz+5k1a5bdac4oFAoxf/587r7nbp577jkCGX7Srkkl9YrkuC238hFHgoPkYUmkX5eKs7eDuW/N5a677uLFF1+kvr7e7nin7Nq1i3vuvodf/epXHNh9kIFJg8lLm8IlyZfGbbmV07ksN70T+zEudTLDUkZBtcWzzz7L7bffzpw5c+yO1yKbN2/mmWee5rLMGv5ryD5G58RmuQUorEukIeSkIeRkb00yhXWJdkdqE50SA3xzYCFfvbCQw4cO8cc//IFwhM5a/ayCG91H9m0kHA7zxBNP8K9//YthDV7uqaiMuSnJzc1PSea4y8lxl5NnM9KZn5Jsd6Q21SEc5r7ySoZ4fTz//PM8++yzUV1y3121CtK6QHJHu6NIJEpII5zRnVWrV0fkm9SqVat47LHHqKqvInVyCqkTUnB1ULGV0zlSHKSMSiZ9eirB5AAzZ87k5ZdftjvWKYcOHeJEyQkGJF3CuLRJ9EnsjzuGV0aWlrMsi06eruSmXsHYtAkE/UHef/99u2OdM5/Px//73W/pmhTgrn7HSIrCbX/k012eVctNPYvZkJ/PwoUL7Y5zRp9VcPtaljXHsqw3mn186tZeASOJMYZnn32WefPmMa6+gRm1dVG79c/ZOu5y4XM48DkcHPS4Oe6K9X8xuIFbamoZ1eDl9ddf55///KfdkVokFApxtLAQk9rJ7igSyVI7U1VZSU1Njd1JPiE3N5fckbkYn8G/148JRu/JJmlbxhj8hwKEKsL07NWT6dOn2x3plLFjx+JyuvCFvTis6F/1WdpH0AQJE+aqq66yO8o5c7vdZKSnY2FwO/S6HYs8jsaTFpF6edNnvdLeDDwBPN7s4+a3uLNgwQLmzJnD6PoGptTVE6MzLYTGH4zptXUMb/Ayc+ZMli1bZnekc+b1ehtHn+Nln1tpGWfjIhGRNKWzSUpKCv/18H/xla98hcDhILWL6wlVR+8+idI2wr4wdSvq8W71MXHiRB756yMRtVBgWloao8eMpih4lJpQ7K5lIa0naALs9+4hMTExKtcDcTgc/N877uRovYe5R3IIqePGlIO1ibx9tDMDLryQ3Nxcu+Oc0acOxxljou+Ivg0dOHCAvz35JBf6A1yjchsXLOALtXWUuVw8+sgjDBw4kO7du9sd66wlJyfjcrkJBGJvtUJpRQEvQEQuzAONB0pf+tKXGDhwIL/57W+oWVCH50I3iYMScCRoNCyemZDBt8ePb4cfK2TxrW99i2uvvRbLirx36FtuuYX333uftTUr6J3Qj/6JA3FasT8jSs6NMYbiwDF2ebfhC3u5+867SUyMzus5r7zySt577z0WL15MQW0y9/Q7SlZC0O5Ych7CBpYVZTH3SCeyOnbku9/7XkS+3sJnjOBalvWmZVnXWNYnX4Ety+plWdYvLMu6p23jRYZwOMxf/vQnEkMhbq6u+cxhb4ktTuDW6mqcgQCP/PWvUXU9rmVZdO/eHauhwu4oEskayumQlUVSUmTvjXz55Zfztyf/xuSJk/HvDlDzdh3e7V5NW45Dxhh8B/zUzKuj4T0vl15yKY8+8ijTp0+P2IOtgQMH8vQzTzNp0kQOePeypnY5J/xFdseSCFIfqmNz3Xrer9vIBb268pe//IVbb73V7lgt5nQ6+f73v88DDzzAUX8mv9nej51Vsb2OSyxrCDr4+57uzDnciVGjx/DEk3+jb9++dsf6VJ91+vCbwH8CT1iWVQyUAIlAX+Aw8IQx5vW2j2i/lStXsreggJura0iJooIjrSM9bLi6ppa3tm9n/fr1UTVdaMiQwRyavwATDoJDowXyMcbgrC3m0jGROcXo47Kzs/nBD37ATTfdxPPPP09+fj7+vUEShnjw9HVHbLmR1hM4FsD7gZ9gRZC+/fpy70/uZdiwYXbHOiuZmZn853/+J1OmTOGxRx9jS+F6egb7cEnyZXZHE5ud8BfxQf1G3Aluvn7v17nuuutiZh/ciRMnMnDgQH75P//NY7stbupxgkldytHLdfQoavDw9709KfV5+PrXv8r1118f8e+3nzoYaYw5aoz5gTGmL3AH8Afgp8DlxpiJ8VJujTG8OmsWncJhLtVWQHFrmNdHljG8Onu23VHOyahRozChIFQfszuKRKK6EsL+ekaOHGl3knPSu3dv/vu//5vf//739O3Wl/oNDQQKNfUt1oVqw9SuqCfTlcmPf/xjHnv0sagpt80NGTKEJ558gg4dOlAXrrU7jkSAhnA9IRPil7/8JTfccEPMlNsm3bp14y9/fYQxY8by+uFOLD6eZXckOUtVfid/2NEHr7sDv/ntb7nhhhsivtzCZy8y1ZwXcBljNgF+y7JS2jBTRCkoKODAoUOMqqvX1OQ45gRG1tWzc9cuCgsL7Y5z1i699FJS09KgrMDuKBKJyvbhdnsYNWqU3UlaZMiQIaeyu7Ji64BQPsmRbOFMctK/X38mTJiAwxG978rFxcVUVFSQ4+pidxSJAJ08jc+DHTt22Jyk7SQlJfHQQw+Rm5vL4uM5NASj9+c3niw53hFv2MHv//BHLr30UrvjnLXPfXadvM72LeCZk3f1Aua2ZahIsnHjRizgEo3exr1BJ58DGzdutDnJ2XO73Uy5+mqsyiPgi/ORgpCfxMREZsyY0bhoRyjOf6aDPhzlB8jLG09KSnSeszTGsHTZUtydXThSdLAU6yyHhauXk40bN1JdHd2rEa9atQqAzp7IWe1Z7JPkSCbD1YF3V74bVWt9nCvLsrjzzjupD1qsL82wO458jkDY4t0TWUyYcBU9e/a0O845OZsjgu8Ao4FqAGPMHiBuNtbcs2cP2caQGsMvOHJ2MsNhMml8TkSTGTNm4HQ64PgHdkexVyjAtGnT+NrXvsbUqVMhFLA7kb2KtmHCQW6++Wa7k7RYfn4+RceLcPd22x1F2omnj4dQKMTbb79td5QWq6io4NXZr5Lt7kySQ4vuSKPunl4U7C9g5cqVdkdpU926dQMay5NENgtDIExU7SDS5GwKrtcYc2qow7IsJ8TPLjnFx4+T5Y/zA2E5JcsfoLgoula+zMnJ4QvXXYdVuhdqiu2OYx+nm4ULF/L3v/+dRYsWndr/NS7VV+Ao3s5VEybQu3dvu9O0iNfr5Yknn8CV4cKjghs3XB2cuHu6eWXWKxw7Fp1rCzz77LP4fD4uThpidxSJIN09vchwZfLUU09F5L7kraWurg6AJGfY5iTyeVwO8DiJyufj2RTcNZZl/QhItCzrKmAW8E7bxoocPq8Xj0Zv5SS3MXgbom9f2TvvvJOcnE44Dq6CeN0X1+nB6/Uyd+5cvF4vOD12J7JH0I/j4LukpqXyta99ze40LTZz5kxKTpSQOCIByxk351wBMAFz2nR7E4iv96jkYYmECfP4E49H3XTOAwcOsGzZMi5w9yDFmWp3HIkglmXRP/FiKioqeOONN+yO02aCwcYFAV2O6PrZjVdOCwKB6BvoO5uC+yOgBtgFfBdYBvysLUNFksSkJHxRsFqYtA+/ZZGUHH1TyhoXd/gZLuPHse/fEIzz60/jVTiItX8Flreanzz4IBkZ0XkNlDGGefPmYXmsuNxqwvjNadPtjT++DhRNyGAlW7y35T2OHz9ud5xzkpmZSZcuXTkWOMIR30G749gqaAKnnagJmug7iG5NNaEqdjZ8iMvlon///nbHaTNNJ6W0hXnkC5vGW7SdSITPKbgnpyM/Z4z5mzHmRmPMjJMfx828gq7dulHm0fQ3aVTmcdOla3QuCjJgwAB++pOfYDWU49izEALRN+VEzkPQh7V3CdQc53vf+y6XX3653YlazLIsfvrTn9IxoyM1S+uoy2+Iq5JneazTpttbnvho+SZs8G73UjO/Drffzbe//W0uuOACu2Odkw4dOvDoo49w2dDL2F7/PjvqPyQcP4dUpwmY4GknagImfrf6KvIfY0PtKhLSPPzxj3+M2pXtz0bnzp3JysxgZ2V0Lm4YT/bXJuELwcUXX2x3lHP2mQXXGBMCulqWFbcNb8CAAZRZFjWO+DiA+DivZZ12htUbj8MlJ5U7HFQDAwcOtDtKi40ePZr/+Z//xh2sw7FrHtSesDuStIf6chy75+OsL+UnDz7I1VdfbXei8zZs2DCefuppbrrpJgIFAWrm1+E/Eh8jQJbbOm26veWO/dflYFmQ2kX1NHzgY8yoMTzz9DNce+21dsdqkbS0NH75y19y0003cdi3n021a/GG4+/SEbflOu1Ejdty2R2p3YVNmD0NO3i/Lp++/fry2OOPRfUxxtlwOByMHXcl26vTqdNWQRFtY2k6bpeLkSNH2h3lnJ3NM2s/sMqyrJ9YlvWdpltbB4sUTWfRtiUk2JzEHl7LOu0MazwX3G0JjddsRuMPenPDhw/nT3/6IzmZqVi7F8LxrRCnIwgxzxg4sQvHrvlkJDj43e9+x/jx4+1O1WoSExO5//77+etf/0rPzj2pW1UfNyU3noSqQtQurSfNSuPnP/85P//5z+nYsaPdsc6L0+nk/vvv54c//CG1jmrW1a6kJBBfiwC6LPdpJ2pccTaW0hCuZ2PdGvZ79zBlyhT+8Mc/RP3z+mxdc801+EOwqjjT7ijyKWoDTtaXdWDCVVeRHIWX5p1NwS0BlgDJQE6zW1zo1asXF/brR35yMvFYARKNOe0Ma2IUzsNvDSFgY0oyQwYPpkuXLnbHOW/9+/fniccfZ+zYMVhHN+PYtQAaKu2OJa3JV4O1ZxHW4fUMvWwIf/vbkwwePNjuVG1iwIABPPLII/Tt1xfvRh9hbzy+WscmEzbUr/eSnJTM4489ztixY+2O1KomTZrEY489Rudundhcu47d9dvjdspyPDnhP8662pU0OOr40Y9+xPe//308nvhZ+LBv374Mu/xyVpZkE47Pw8qIt7YkA3+IqN1K8HMLrjHm52e6tUe4SHHLF79IqcNia0L8vPg0STTmtDOs8VpwtyQmUGlZ3HLrrXZHaTWpqak89LOf8eMf/5gUy4tjx1tQuBlC8XsdVEwIh+D4hzh2zCUxUMV3v/tdfv3rX5OZGdtnyt1uNw/88AEIQv1Gb1QuiiGf5N3pI1gW5Nvf+jZZWVl2x2kTPXv25NFHH+Waa67hgG8vm+rWEojzBZdilTGGvQ072VK3ge49u/H4E49z1VVX2R3LFldPmUKlz0FBTZLdUeQMNpdnMHDAhfTq1cvuKC3yuQXXsqwllmUt/vitPcJFinHjxtGvTx+WpKXhszuMtLsGy+LfaalcctFF5Obm2h2nVVmWxYQJE3j66aeYOPEqrKKtOHa8CRWHGqe3SnSpOopj51tYR7cwZvQonnrqH0ybNg0rTi4t6N27N3fecSeBIwFCJSG748h5CvsNvq1+rhh3BXl5eXbHaVMJCQl85zvf4YEHHqAqXMHG2jX4wzriiCXGGHY1bKXAu5vJkyfzl7/+hW7dutkdyzYjR47E7XLxfkWa3VHOW0PIcdp6NQ2h6L62uMzn4nBdAuOujN5Lms7mO/AQ8POTt1/TuF3QB20ZKtI4HA6+8c1vUmXBspTom4cu52dxSjJ1lsU3vvnNmC0KmZmZ/PCHP+QPf/gDPbp0xCpYjrV3MdRX2B1Nzoa3GmvfMqy9S+ickcwvf/lLfv7QQ+TkxM3VJKdcd911uN1u/Ic1AhbtAoUBTNhw6y2xM3Pm80ycOJGHH34Yr1VPft3quFx8KhaFTZht9e9xyLefGTNmxN2U5DNJTk5m8JDB7KyOgYIbdJy2Xk1DlC+etbOqcYXraB7UOZspyhua3VYaY74DRPcqOy0waNAgpk+fzvrkJA6442+lv3i1x+NmU1IiN998c0zvS9dk8ODBPPnEE/zHf/wHyaFqrJ1vwaH1EPTaHU3OJOSHwk04tr9JQkMJ99xzD//4x98ZMWKE3clsk5ycTG5uLsHCEEYXd0W1wOEAOZ1yGDBggN1R2lVubi6//s2vCboCrKtdyQHv3rjfIzZaGWM44T9Ofu0qjvoPc/vtt/PVr34VhyO6C1BrGT58BMfr3Ryvj+6yn+QKn7ZeTZIruq+j31KeTnZWB3r27Gl3lBY7mynK6c1umZZlTQKicyPQ83TfffdxQdeuvJaZQX2MjuTJR2osizf+P3v3HR5llfZx/HumJFMyqZBOQgklhF4VQYoUYWVRRBQRLCwWVBTFjrr2LlhArLu65VVXXRuuBUEBBUE6hA5pJKGkZ/rMc94/gihKSSCZmSTn45Urk+SZyS84yTz3c865T1QkrdPSmDJlSrDjBIxer2fs2LH87a23GHvBBehLdqLb8l84sE11Ww4VUsLhXei2/hdRvIXzzhvGW2+9ySWXXNLsRwUAhgwZgt/hp+uEtiYAACAASURBVPobB95itaa8sfFX+Kle5sBb6GPokKFNdubMyXTp0oXnnnuOTl06ssO5lWWV37DLuQ2P5gl2NKUWNKlR6M7nx+rvWGf/ibAYI7fffjuTJ09uls/nEznvvPMICzPydVHj7h5t1mvH9Ksx6xvvuVK+PZxtFVYu+PO4Rv1crc1Q5FZAAgLwAfuA6Q0ZKlSZTCbuvvdeZt16Kx9GRjC5oqpWc7yVxkcDPoiy4TEaufvee5tl0RAZGcmMGTMYM2YMCxcuZOPGnxAlO9Fa9Qdb4+8k3WjZD6PL/wlZfYgOnTpxw/XXN/l9E+tq4MCBzJo1i3f+8Q4lS0owJhow9TBhiNUHO5pyEn67hmuzC88+LyaTiUlTJzF+/Phgxwqatm3b8uSTT7Jjxw7ee+89Vq5cSa5nDynGdNqYMjDpVHOeUOOXfvZ78sjx7Mbhs5PWKo3rL7uWwYMHo9ervz+/Fx0dzejRY/js0084q0UFHaMcwY7UrHk1wf/lJmG1mLnggguCHeeM1KbAbSvlsXNjhKif3biFEDlAFTW7sPiklH2EELHAe0BrIAeYKKUMmYWAGRkZTL/2Wl555RVWmE2c61RTN5uipRYze41GZt10U6PtIFdfWrduzRNPPMEPP/zAwldfpWTHl8jYttCqLxjVCVbA+Nywfx3i0A5sUdFMv/12hg0bpqa6HYcQgpEjRzJkyBAWLVrEv//v31R9WY0xzYi5Wzj6SHWiGUo0l4ZrqxvPbi96nZ7xF41n4sSJREVFBTtaSOjYsSMPPPAAubm5/Oc//2Hp0qXkefaRYEiiVXhrYg0tGvVIS1Pg8NvJd+dQ6MvD7XfToUMHLrvsMvr376/+Rp/ClClTWLf2Z97YI7k7ay9x4Wo6fjBICe/nJLCvysS9987CarUGO9IZqU2h+hPQ63efW32cz52uoVLKw7/5+G7gWynlk0KIu498fFc9fa96MXbsWLZu3criZcto5fPRxqumwDUlO8OMfGe1MGLECEaOHBnsOCFBCMHAgQPp06cP77//Pu+//z5aZQFaci9o2RHUyVXDkRJK96Hbvwa8LsZdeCFXXHFFo3/xCYSwsDAuuugiRo4cyUcffcSHH35I5aJqwtoaMXc1obOoE89gkl6Ja5sbzw4v0icZMWIEV1xxRbNsjlYb6enpzJ49mylTpvDJJ5/wzdffsKb6ByIMNlKMaaSEpROma36zjYJFkxoHvcXke3Io8R5Ep9NxVv+z+PO4P9OtWzd10aGWrFYrDzz4V269ZSYv7khnVqccosPUeXUgSQmfFbRgxaFoLr30UgYNGhTsSGfshAWuECKemrW2ZiFEV2qmKANEAg3ZSngcMOTI7beB7wixAlcIwS233MKe3bt5H5hxuBSb2lKlSSjX6fgwKpLW6enceOONwY4TckwmE1OnTmXYsGG8+NJLbN60CspykOlng0mNttQ7dzUibyVU7Kd9h47MnHkz7dq1C3aqRsdqtTJlyhQuuOAC3nvvPT7//HMqc6oJa2/E1DkcnUkVuoEk/RL3Lg+ebC9+l59zzjmHqVOnNuqGJoGUkJDAtddey1VXXcWKFSv4/PPP2bZtK7td24k3JtEqrDUxhjhVYDUQp+agwJ3Dfm8+Lr+TuLgWTBkzhVGjRhEX17jXkgZLamoqDz/yKHPuu5e521urIjeAfilu/1fYglGjRjF16tRgR6oXQp6gMBNCXA1cA/QANvzmS1XA36SU/znjby7EPqCMmjW+r0opXxNClEspo39zTJmUMuZkj9OnTx/5888/n2mcOsvJyeGWmTNJcTi5qryiSa7HfTMqkpww49GPW3u8TKuoDGKihuMD3oqJ5rDVwkvz5zfr/elqQ0rJ119/zWuvvY7T5UJL7gkJnUGE6G/C9v8hqg8c/VBGJECn0UEMdBK/NJEqWINRr+Oaa67mggsuUGu46smBAwf45z//ybfffoswCMI6GTFlhiMMjaMgqFpcje/gr/v8GuL12IZHBDFR7Ugp8ez14t7iwW/306NnD66+6upm1yW5IeTk5PDFF1/w7eJvcTgdxBnj6WLpgVkXulsb/lS1nDJfydGPYwxx9LeF7siRJv3sdu1gn2sXiJpu12PGjKFPnz7qb3M9yc7OZs599xKjq+b2zH1YGkk34uez09hV9evvWnubg9s65wUxUe0tLorhw7wERo0axcyZM0N+Sr0QYq2U8pRbRZywwP3NA02UUr5fb8mOfexkKWXhkdHib4CbgU9rU+AKIa4FrgVIS0vrnZub2xART2nx4sU899xzDLE7OM/R9Para04F7v+sFn60mLn33nubxPSMQCktLeXFF1/kp59+goh4ZOuBYIoMdqw/yvsJDu+uuW2JrXlL6x/cTMfjsSNyf4SK/XTr1o1Zs2aRmKiaejWE3Nxc3n77bVauXIkhyoBloAl9VOifqDbGAldzaThWOvEW+WjfoT3XXH0NPXr0CHasJsflcvHVV1/xt7f+ht+n0dGURWpYekiO5jamArfCV84W5zqqfJUMHz6cKVOmEB8fH+xYTdL69et54P45tLXaualjHkZd6M+QbKwF7toSG2/sTmHgwIHcc889IV/cQu0L3FOuwZVSvi+EGAVkAabffP7xM4sIUsrCI+8PCiH+S83+ugeEEElSyiIhRBJw8AT3fQ14DWpGcM80y+kaPnw4Gzdu5NvFi2nj9dJWrcdtlHaEGfnxSNc4VdzWTWxsLA8++CBLly7l5fkLcG37DC21L7RoH1prc9P6g6O05naojtyW7kOXtwqjDqbfeCNjxoxpFC84jVV6ejoPPPAA69ev58mnnqT662rMfcMJa63WMdYn3yEfjh9dCLfg5ptvZvTo0SFZcDUFJpOJcePG0b9/f+Y+P5dNmzdwwFtIVoiP5oYqTWrscW1nr2sX0dHRPDTrIfr16xfsWE1az549uXXWbTz77LMsLY5hZHJpsCM1SdVePf/MSaZzZiZ33HFHkzvXqM0+uAuAK4HbADNwBZBxpt9YCGEVQth+uQ2MBLYAnx75fhx5/8mZfq+GduONN5KaksIH0VFUqxftRqdCp+OjqEjatm7N9OnNcgesMyaEYNiwYby68BW6demMyP0RsWcJeJverIYG4XPD3mWIvd/Tvl1rXnllARdccEGTe8EJVT179mTB/AV06tAJ+49O7KudSH/ojxqEOiklru1uqr91EBcRx9y5cxkzZowqbgMgMTGRJ558ghkzZlApyllV/T3V/qpgx2pUNOlnnX0Ve1w7GXbeMF597VVV3AbIeeedR+/evfi6uCVOn3odbAhfFcXi9gtm3nJLk9wKszbPmoFSysuBEinl/UB/ILUevncCsEIIsZGarsyLpJRfAk8CI4QQu4ARRz4OaSaTiXvuuw+XwcCHUTYax4oBBWr2p/pPlA0tLIx77ruvSf6SB1LLli15/PHHufbaazFUF6Pb9ilUFAQ7VmirOoBu22foy3O44ooreP6550hOTg52qmYnLi6Op596mgkTJuDZ7cGxRl2cOVPuXR6c61yc1f8s5r88n4yMM742rtSBTqdj7NixvPzyy5isJtbaV+LU1D6jtSGlZJN9LYe9B7n11luZPXs2Npst2LGalSlTpmL3ClaXhOCSp0bOqwmWH4xl8OAhTXYrzNoUuL9s9OoSQiQe+bj1mX5jKeVeKWX3I29ZUsrHjny+REp5npSy/ZH3jWJuQps2bbj+hhvYbTSyzKL2Bm0svrVayDUYuPmWW0hNrY/rNopOp+Oiiy7ixRdfoFVSPGLX4pr1r5qavn8MTYOCdYidXxIfE8Fzzz3H5MmTVbOSINLr9UybNo1JkybVNEPa6wl2pEbLV+LDtc5N3359mTNnDhERob1GuClr1aoVjz72KBgla+0r8WjuYEcKaVJKsh0bKfYWMn36dEaNGhXsSM1Shw4dSE5KZGOZurBQ33ZUWnD7a2beNVW1KXC/EEJEA89S0005B/igIUM1VqNHj2bokCEssVrYZTSe+g5KUGWHGVluMXP++ec36V/yYGnTpg0vvfgiF154IeLgNnTbPv91DWxz56pEt+MLRPEmRo4YwSsLFtCpU6dgp1KOmDx5Ml27dcX5swtfmf/UdwgwfYwejICxpsGUPia0Lopobg3HDy7iYmO5Y3bTW9vVGGVkZPDQww/hFi5W23/A7q8OdqSQ5Jd+NjvWke/J4dJLL2X8+PHBjtRsCSEYdO5gdlRaOehS59T1afmBaKwWM927dw92lAZz0lcdIYQO+J+UsvzItkBtgK5SynsDkq6REaJmLnt6Whr/iY7kkF69qIeqYr2ej6IiaZ+RwQ033BDsOE1WWFgY1113HY8++iiR4aDbvgiKt9Zsg9McSQmHdqLb9ilmnNx3333MmjULs1nN+ggler2eu++6m8iISOyLHbi2u5Fa6DxnLb3NGGL0GGJquidbeofO88dT4KX6Swc44d5771PTOkNI165deeSRRyBc46fqZRz2HreHZ8BE6qMwHPkvxhBHpD64e6m7NBdrqn+g0JPP5MmTufLKK099J6VBjRs3DqPRyGcFLYIdpcnYV21iU7mNiydc0qSX5Z20ApNSasALv/nY2VimDAeLyWTiwYcewmiz8Y+YaKp0jbuZRpLPR7imEa5ptPZ4SfI1/mmm5Tod/4yJxhodzQMPPtikf8FDRe/evXl14UL69+uLKFiD2PUNeJrZWjCfC7FnKSL3R7p1yeLVhQsZOHBgsFMpJxAbG8sL816gZ/eeONe5qP7GEZKjuaFCc2hUL3NgX+YgpUUKzz77LJmZmcGOpfxO9+7defGlF0lMSWRt9UpyXHs41XaRDSXT0g2bIQqbIYr+tkFkWroFJQdAha+MVdXf49BVc99993HFFVeoZmghICYmhovGX8zPJVGsOawulp0ph0/H23tTiY6K5MILLwx2nAZVmyHGb4QQ4xo8SROSmJjIw488gjM8nLdjorE34j+SY+wOknx+knx+plVUMsbeuIuSSp3g7ZhovGYTjzz2GC1aqKuCgRIVFcUDDzzAzJkzCXOV1DSgKgv9feLqRWURuuzP0Fft5y9/+QuPP/64eu41AgkJCTzy8CPcfffdWH1Wqr6sxrHeifSFzmhusEkpce10U7XIDgfg6quvZv7L89WU+xCWlJTE3Hlz6X9Wf7Y7N7PJvhaf9AY7VlBIKclz7WV19QpsMRHMnTtXXXgMMZdffjlZnTvzj30p5NrDgx2n0dIkvLk7hRJPGPfNub/JzxyrTYF7E/BfIYRTCFEqhCgTQqhR3FPo2LEjD/z1r5SFh/NWbDQVag1S0JXpdLwVG0O12cTDjz5K27Ztgx2p2RFCMHr0aObPf5nWrZJrthLKXdV0G1BJDQrWInZ+RVKLaObNm8fFF1+s1iQ2IkIIBg8ezOuvv875o87Hvc1D9VcOfKVqNFdzaNiXOnD+7KJbl24sXLiQiRMnYjAYgh1NOQWLxcL999/P1KlTKfbtZ2X191T6yoMdK6C8mocN9jVkOzfRs1dPXnr5JXVeEIKMRiNz7r+fqJhY3tidprYNOk1fFcaRXWHlhhk30qVLl2DHaXC1eZa0oKadRQTQ8sjHLRsyVFPRs2dPHnn0UarMZl6PjaFIdUcNmgKDgdfjYnBZLDz2+ONkZWUFO1Kzlpqayry5cxk/fjzi0HZ0O/4Hrspgx6pfHjti51eI4s2MHDmS+fNfVtukNGI2m41bbrmFxx9/HJveRvXXdlzb3EGb3hlsnnwv1f+zI8p0zJw5k8cfe1xtb9XI6HQ6Jk2axNNPP024LYxV1cvIde0NdqyAqPCVsdL+PYf8xUybNo2HHn6IqKjgrgFWTiw6Opq777mXUreB93ITgh2n0cmpNvH5/pace+65jB49OthxAuKUBa6U0g9cAtx15HYS0KOhgzUV3bp14+lnn8UQG8MbsdFsDFfrPQNJAmtN4bwZE4W5RQuemzuXzp07BzuWQk0DqunTp/Pggw9ixoVu++dQnh/sWPWjsgjdts8J91Rw5513MmvWLEwmU7BTKfWgZ8+eLHxlIWefdTbO9S7sSxxozuaz+7n0Sew/ObAvd9C6VRvmvzyf0aNHq/WKjViXLl1Y8MoCevXuxTbnpqA3n2pofulnrWMVlmgzzz77LBMmTFCzahqBrKwsxl98MT8djqLSqwaM6mJJcQwRERHcfPPNzeZv9Sl/o4UQLwNDgSlHPuUAFjZkqKYmIyODF19+mfadO/NBpI2PbFZczeQJFkwOIfiPLYKPbRFkde/Oiy+/3GQ3tG7MzjrrLBbMn0/b9DTE7m+hcGPj7rJ8YBti19ckx8fx0ksvMnTo0GAnUupZZGQkc+bM4dZbb4UygWOd69R3aiLcuzx49niZOHEic5+fq/YPbyJ+6ZFgi7CR784JdpwGdcBbiMfv5vbbb1eN0BqZAQMGALCr0hLkJI2HlLCr2kaPnr2a1X7ktblkNUBKeR3gAjjSRVkNQ9ZRbGwsTz39NJMmTWKD2cz8uFh2hql9vRpKdpiR+S1iybaYmTp1Ko899piafhTCEhISeO65Zxk2bBiicD3krACtka1xlBrk/YTI/4n+/frxwgvzaNWqVbBTKQ1ECMGoUaMYMngI/mJ/SG0j1JC8hT7SW6dz9dVXY1T7vTcpRqOR4SOGc8hXjEdzBztOg9nvySM+PoFu3YLXtVk5PYmJiQBUeNU6/9rSgEqPjoSE5jW1uzYFrvfIfrgSQAgRR82/l1JHer2eqVOn8txzz2FLTeEfUZG8a4tQDajqUalOx78ibfxfVCSxaWnMe+EFJk2ahF6tfw554eHhzJ49mylTpiBK9tQ0oPI3kuZTmgZ7lyEObuOiiy7i/vvvx2q1BjuVEgC9evVCc2v4m0HTKemT+A/76dO7T7CjKA1k5MiRaFKj0NNElov8jsNvp8R7iFGjRqppyY1Qfn7N8zLR1HQvwNQ3vYAEs+/ov11zUZvf7vnAh0BLIcRDwArgqQZN1cRlZmby8oIFTJkyhZ0RVl6Ii+Fbixm3mrV82lxC8LXVwktxMeTYIrj66qt5af581dSnkRFCcPnll9dM/awsROxeDP4Q375C8yP2LkWU5TBt2jSuvfZadUGlGenRowd6vR7XFneTH8V1bXUj/ZK+ffsGO4rSQFq3bk379u3Z781vkg3U9nvyEEIwYsSIYEdRTsPOnTsBSLWGVoGbanVh1vsx6/20tzlItYbWspUUs52d27c1yd/pE6lNk6l3gDnAs0ApcImU8t2GDtbUhYWFcfnll/P6G29w1qBBfGe1MK9FHCvNJhrJmFVI8AI/mE3MbRHLcouZQUOH8vqbb6qtKhq5UaNGcecddyCqDyD2LA3d6cpSg33LoTyfGTNmMGHChGAnUgIsOjqaG264AW+hD+em0Drpqk+eXA+urW7OP/98NbWziRs1ahRVvgoq/RXBjlKvpJQUeQvo2aMnLVuqzUAao40bN5Jo8RFpDK1zgonpB0m1uEm1uLmtcx4T00OrUVsHm5PS8gr2798f7CgBU9v5GXpqaglPHe6j1EJCQgL33nsv8+bNo02XLnwRYWVeizhWm8JVoXsSXmCl2cTclnF8GWGlU8+evPTSS9x55520aNEi2PGUejB06NCjI7nkrAi9xlNSQt5qRFkOf/nLXxg7dmywEylB8qc//YkxY8bgznbj3ucJdpx65yv14/jJRefOnZkxY0az6cLZXA0ePBij0UhBE2s2VeI7hMNvZ8RINXrbWO3etYM21upgx2h02ticAOzevTvISQLnlENcQoj7gMuB/wIC+LcQ4l9SyicaOlxz0rFjR556+mk2bNjAO2+/zWc7dvC9LYKB1XZ6O12qq9cRbgFrTCZ+jLBSBXTt0oUpU6fStWvXYEdTGsDIkSMpLy/nb3/7GzLcBim9gh3pVwe3IQ5t5+KLL+biiy8OdholyK6//npycnPYvnY7YSlGRFjTKAKllDhXu4iJiuH+++9XjaWagYiICAYPHsx3S76jo8zCIJrG//N89z4ibZFHO/EqjYvT6aS8oor41KZ3EbGhtQyv+TcrKioKcpLAqc0cziuA3lJKB4AQ4jFgLaAK3HomhKBnz5706NGDDRs28O9//Ysvtm7l+wgr/e0O+jtdWIIwipXkC/5YcrUQrDKbWG214AS6d+/O5ZdfrqbKNQOXXHIJ+/fv5+uvv0aaYyC2TbAjQUUhomANZ599Ntdcc02w0yghwGg0csP1N3DzzTfj2uXGnNU09j32FfnwlfqYeutUoqOjgx1HCZAxY8awePFiCj0FpIWHwN/cM+TSnBz0FjPhwgmEhakhg8bI76+ZlqwmkNSdEDUjlL/8GzYHtSlwc393nAHY2zBxFPi10O3Zsydbt27lvXffZcnPP7PCaqGXw8kAp4sYLXCNrMfYHQH7Xr9XotPxo8XMOrMJPzV7pl562WV07NgxaJmUwBJCcNNNN5Gfn8/2nT+gmaLBEhO8QO4qdPu+J7VVGnfccYfqxKkclZGRQe/evdmQvQFTR4kwNO4zMSklrmwPMbExDBs2LNhxlADq1KkTGe0y2J2znRhDHDZ9ZLAjnTa/9LPJsRadTsfo0aODHUc5TREREcTFRpNvrwx2lEanwB6OBNLT04MdJWBqc2bmALYKId4QQrwObAbKhRDPCyGeb9h4SlZWFg8/8givvPIKg847jzURVubGxfCeLYL9hqbbqTXPYOD/IiN4IS6GdRFWho0cyauvvcYDDz6oittmyGg0MmfOHKJsNnR7l4IvSM18NB+6vd9hDjPw1wcfwGw2ByeHErIuu+wy/E4/1d868Fc23qvlmlvDvtyJ76CPSydeqqYmNzNCCO6bcx9Wm4W19pU4/PZgRzotmtTYaF9DmbeE22ffTlJSUrAjKWeg/1kDWFsayboSW7CjNBpOn45/5aRgtZjJysoKdpyAqU2Buwj4K7ASWAU8DCwBth55UwKgdevWzJ49m7/9/e9cPGECe6OjWBgTzZvRUewIMzaJjYk1IDssjNdjonk9Joq8mBgmXnopb7/zDrNmzaJVq1bBjqgEUWxsLHPm3Ifw2BH7gtB0SkrIXYm0l3DXXXeSnJwc2O+vNApdunThwQcfJNwdTvVXDtx7PY1uawbvQR/VXzrQijSmT5+uGqg1U4mJiTzx5BMYTHrWOn7EqQVvNtfp0KTGZsc6DnqLmXHjDIYOHRrsSMoZuu6668js1Im/701hbYkt5HpPhppSt4FXdqZywBXOfXPuJzY2NtiRAkY0thfe4+nTp4/8+eefgx0joOx2O19//TUfffABh0tLaalpnGN30N3lrtW881DiBTaYwvkhwkqJECS0bMn4CRMYOXIkJlPTWMem1J/PPvuMBQsWIJO6Q0rPut15+/9q3nc6jWlqB7IR+au54oormDx5ct3vrzQrhw4d4plnnmHz5s0Y041Y+5rrtfFU1eKaTqK24RH19phSk7i2uHFtdZOUmMQ999xD+/bt6+3xlcZpx44d3H3X3Wg+SZapOwlh9Xdx76eq5QD0tw2qt8cEcPjtbHL8TLmvjCuvvJLLLrusXh9fCZ7y8nLuu/ce9u7LoWOUg0vTikmyBL/x1PPZaQDc1jkvyEnAqwkWF8XyZVFL0BmYecutnHfeecGOVS+EEGullH1OedypClwhxPnAI0A6NetvBSCllCFzGaA5Fri/8Pl8LF++nA/ef5+9OTnYgAHVdvq6XISH+LULpxCsNptYZbVQDbTPyOCSiRMZMGAAen3TnX6tnBkpJc8//zyLFy9GthsCMa1rf+fTLXArixC7vqZ/v3488MADat2tUit+v5/333+ff/7znwizwNwvHGNS/Uz1re8C11/ux7HKha/Ux/Dhw5kxY4aagq8cVVBQwJNPPsWePbtJDWtNJ0sXDOLML6fXd4ErpaTQk88212bCTEZuvfVWBg2q3+JZCT6/38+iRYt45+2/43I6OadlGecllRJv8gYtUygUuF5NsOZwJF8WteSQy8CAs8/m2uuuIyEhIWiZ6lt9Fri7gYnUrL09OhNWShkyi4uac4H7Cykl69ev5/3332fjxo2Ygf52B2cHqfPyydiF4EeLidUWCy6gd69eTLz0Urp27ar2V1RqxePxcMcdd7Jrzx60jqPBEle7O55OgeuqRLd9ESlJ8cybOxer1Vr3wEqztmPHDp559hn2F+wnrJ0RSy8zwnhmf+vqq8CVmsS9zY1ri4cIi5Wbb56pCgLluLxeL++88w4ffvAhVkMEXc29iTKcWWft+ixwPZqHbMdGir376dKlC3feeSctW7Y848dVQld5eTnvvPMO33z9FX6/RtfoKs5LKqO9zRHwbsvBLHArvXqWHYhh2aFYqjw62rROZ9pfptO7d++AZ2lo9VngfgcMk1KG7DJPVeAea8eOHbz37rusXLWKcOAsu4NznC7MQS507UKwwmJmtcWMFzhn4EAuvfRSMjIygppLaZxKS0u5eeZMyqtd+Dv+CcIsp75TXQtcnxvdji+w6jVefPEF1aBEOW0ej4d//OMffPjhh+gsOsz9TRgTT38ErD4KXH/FkVHbEh/nnHMON910k9oKSDmlDRs28MzTz1BWVkZbU3vamTqiE6c366q+CtyDniKyXRvxSC9Tp05hwoQJaiZYM1JaWsrnn3/Oos8/o7KqmlZWD+fGl9A3rpJwfWDOfQNd4EoJuXYTyw5Es6Y0Gp8Gffv25aKLLqJHjx5NdsCoPgvcfsCDwHfA0dalUsoXzzBjvVEF7vHt27ePf//736xYsQITcI7dwQCHk0DvAOcW8IPZzI9WCx5g8JAhTJo0ibS0tAAnUZqaPXv2cNvtt+M12NA6nA/6UxQMdSlwNQ2xezF6+wGeeOIJunbteuaBlWZv27ZtPPPsMxQVFhHWxoi5pwmdqe5T3s+kwJV+iWurG3e2B4vFws033cy5557bZE+IlPpXVVXFa6+9xuLFi7EZouhi7nlao7lnWuB6gNddkwAAIABJREFUNA/bnZso9BTQOr01t8++XV00b8bcbjdLly7lk4//S05uHmaDpH9cOYPiy0hu4HW6gSpwXX7BmpJIlh+MI98ehik8nPOGD+fCCy8kNTW1Qb93KKjPAvd/1PQB+v0U5fvPNGR9UQXuye3bt4933n6bVT/9hA04r6qani53rVponwkN+NkUzlJbBNXAwHPO4YopU5rVPlxKw1u1ahUPPfwwMjod2g4++S7wtS1wpYS8VYhDO7jtttsYMWJE/QVWmj23283//d//8Z8P/oMwQHivcMJaG+tUYJ5uges94MO1xo2v0seQIUO47rrr1KitctpWr17NvHnzKC8rp62pPRmmzDo9j8+kwD3kPcBW53o80sukSZdx6aVqOyulhpSS7OxsFi1axPLly/D5/GREOhmWUEL3mGp0DXAtr6EL3EMuI0uLY1hZEoPLJ2jTOo0/XfBnhg4disVSixlsTUR9FrhrpZQhPYlbFbi1s3XrVt547TW279xJit/P2MoqUnwNs5Q6z2Dgs0gbxXodXbKy+Mv06Wr/WqXBfPDBB7z55pvI5B6Q3OPEB9a2wD24HZG3iksuuYRrrrmm/oIqym/s27ePF154gR07dmBMNGDuZ0YfUbtLj3UtcKVX4ljnxLPHS3xCPDNvntkk12cpgVddXc2rr77K4sWLSTAm0c3aB30tpyyfboGb597HNscm0tLSuOPOO2jXrl2dcyvNQ0VFBd988w2ff/YpBw4eIs7kZ2j8YQa0rMBsqL/Vlw1R4EoJu6osLCmOYVOZDb1ex6BzBzN27Fg6derULGfd1GeB+zTwpZRySX2Fq2+qwK09KSVLly7ljddeo7yigrMdTobbHdTXNU838HWElTVmE7GxsVx3/fUMHDiwWf4SKoEjpeTZZ59lyZIlyIzzIPoEeybXpsCtOoDY+RV9+/Tmr3/9q+qYrDQoTdP44osvePPNN/HqvFiHmtFHnbo4qEuBq3kk9qUOtDKN8ePHM3nyZLUFm1LvPv74Y1577TWi9DH0svYnTBd+yvvUtcCVUrLTlc0+1y769e3HPffeo57LSq34/X5WrVrFfz/6iK3Z2ZgMkiHxJYxMKq2XQrc+C1wpIbvCyqcFCeTZw4i0RfCnC8ZywQUXNKu9bI+nPgvcMiAKcAAe1DZBTYLdbuett97iiy++oIUmuaSiguQzHM3NNxj4IDqSMiH487hxXHnllWqbCSVg3G43t912O/vyC9A6jYXw45z4n6rA9brQbfuMhNhIXnrpRSIi6m+PUUU5mdzcXO666y6qPdU1RW70yYvc2ha4mkvDvtSJrJLcP+d++vfvX2+ZFeX3VqxYwVNPPUU4ZvpaB2DSnfwcoC4FrpSSzY51FHryGT16NDfeeKNqJKWcll27dvHBBx+wbNkyIoySMckHGRRfhuEMrmfXV4GbZw/no/wEdlRYSIhvyaWXTWLYsGGEh5/6glFzUJ8F7nH/eqhtgpqG9evX89wzz1BRVsYFVdX0drlPfaffkcBPJhNf2qzEtWjB7DvvVA15lKAoLCzkxhtvwmWMRHY4/4/rcU9W4EqJ2LMEfXURL8ybp6a8KQFXUFDAnXfdSaWjEstQM4aYE5+816bA1Vwa9iVOhF3w4IMPqinJSkBs3bqV++69jygZS6+Ik19QqUuBu9+dx2bHOiZPnszkyZPVzDDljO3atYs33nidTZs2E2/2cXXbAlpHuE7rsc60wPX4BR/kxbP8YAy2CCuTr5jCmDFj1Lry36ltgXvKaxVHCtlLgLuO3E4CTrLITWlMevbsycsLFtC1Rw8+tkXwpdVCXSZqaMDnEVYW2az07tu35rFUcasESXJyMjNm3ABVB+DgtrrduXQflOdz9VVXqeJWCYrU1FSefeZZoqxROH90IbUz297Cuc4Fdnj44YdVcasETFZWFpdNuoyD3iJKvIfq5TF90scu9zY6tO/A5ZdfropbpV60b9+eJ598ioceeggiEnk2uzWLi2II9K6aRY4wnspuy4pDMYwfP56//f1txo0bp4rbM3DKAlcI8TIwFJhy5FMOYGFDhlICKzo6mkcefZSxY8fyg8XMJxHWWhW5fuADWwSrzSYmTJjAg3/9KzabraHjKspJDR8+nN69e6Mr2gBeZ+3u5Pei27+G9u07cOGFFzZsQEU5ieTkZK679jp8FT68ed7Tfhx/hR9PjpeLLqzZE1FRAmn8+PHEt4xnu2sLmjzz9Y17XTtx+Z1cf8P1qi+CUq+EEPTr14+X5y+g31ln8WFeAq/vSsGrBeYiyqayCJ7MbovdEMsjjzzK9OnTsVqtAfneTVlt/koMkFJeB7gApJSlEPCtVJUGptfrueGGG5g0aRLrzCb+Zz15y3EJfBZhZbMpnKuvvppp06apFx0lJAghuP766xGaHwo31u5OxVuQHiczZtyg1nQpQTdw4EDSW6fj3uw57VFc5yYXpiMXHxUl0MLCwrj2umup8lWQ5957Ro9V7a8ix72boUOHkpmZWU8JFeVYNpuN++9/gGnTprG+zMbCnal4GrjIXVti47VdqbRum8GCVxaqmTb1qDYViVcIoaOmpkEIEQd1msWqNBJCCKZMmcJFF13EKouZNaYTL2hfaTax1mxi0qRJTJw4MYApFeXUUlNTGTlyBLqSXeB1nPxgvxfd4e2cffbZdOrUKTABFeUkdDodV115Fb4qP65tde+L4C304s33cfH4i4mMjGyAhIpyagMGDKBPnz7sdm/HqZ3i7/AJSCnJdm7EZDYxffr0ek6oKMcSQjBhwgRuvfVWtlVaeWVnqwYbyV1bYuPNPSl0yszk8SeebPbdkevbCQtcIYThyM35wIdASyHEQ8AK4KkAZFOCQAjBtGnT6N2rF1/YIjh4nNGsQoOeryKsnH3WWVxxxRVBSKkopzZhwgSk5odDu05+YOlepNfNJZdcEphgilIL/fv359zB5+Le7MFX4qv1/TSXhvMnN2npaerioxJUQghuuukmdHod2xybOFVT0+Mp9ORT6j3MtGnTiImJaYCUivJHo0aN4rbbbmd7hYW3difjr+c1udnlVv62N4XOmZ159LHH1ZTkBnCyEdzVAFLKd4A5wLNAGXCJlPLdAGRTgkSv13P77NmYrFY+s0Xw299rDfg00kZUVBSzbrtNTUtWQlZKSgpdu3ZFV7qHk3WM0JXsIS0tXY3eKiFFCMFNN95ETEwMzpUupO/UZ1hSShyrneCFu++6m7AwtZpICa6EhASmTJ3CQW8xRZ6COt3XqTnY7tpCZqdMzj///AZKqCjHN3z4cK6//no2lNl4Nyeh3hpP5VabeHV3K9LS0nno4YfVPs4N5GTVydExeSnlVinlC1LKeVLKLQHIpQRZTEwMV119NTlGA59GWFlsMbP4SAOq/Xo906ZPVw2llJA3ZMgQpKsSXBXHP8DrRFYfZMiQwaorpxJybDYbd8y+A19l7aYqewt9eAt8XH3V1bRp0yYACRXl1C666CIyMzPZ5tpU66nKUkq2ONajMwhm3zFbXUxXgmLcuHFMnDiRFQdjWFx85lOIS90GFuxKIzq2hRq5bWCGk3ytpRDithN9UUr5fAPkUULIqFGj+GLRItbl5h7z+U7t2zNkyJDghFKUOjjasKGyCMzRYPndC1RVEQB9+pxySzVFCYoePXpw9tln89PPPxHeIQxd+PFP9KWUuDd5SEhMYNy4cQFOqSgnptfrueOOO5hxwwy2ONbTxzrglBcU89z7KPEeYubMmSQnJwcoqaL80ZVXXklhYSH/XbGCRJObrjH203ocj1+wYFcaPr2Fhx95VK25bWAnK3D1QAS/GclVmheDwcD8BQuCHUNRTlt8fDxR0TGU2w8BmZDW/9gD7IcxhoXRtm3boORTlNq48sorWbVqFa5sN5ae5uMe48314ivzceWdV2IwnOylXVECLykpiSuvupJXX32VSn8FUYboEx4rpSTHs5uuXbqqqclK0Ol0OmbPnk3h/gL+vk9yr2UvceF138LtvdwECh1hPPTQvaSnpzdAUuW3Tjbno0hK+bCU8qHjvQUsoaIoymkSQtCmdTrCU3X8A1yVpKamqq2BlJCWnp7OoEGD8O7xnXDbIPduL8kpyQwePDjA6RSldoYPH47BYGC/J/ekx5X6DuP0OxjzpzFq6YgSEsLDw7lvzv1gMPPmnhTqunvbmsM2fjwUzWWXTaJv374NE1I5Rq3W4CqKojRWLVu2RHeCrYJ0PifxLVsGOJGi1N3ZZ5+N5tHwl/n/8DXpk/hL/JzV/yy1VlEJWREREZxzzjkU+wrR5Il3m9zvycNitnD22WcHMJ2inFxycjI33nQz+6pMLCmufUfvSq+e9/KS6dSxA5MnT27AhMpvneyV8LyApVAURWkgZrMZ/MffZkVoPtXBUGkUunXrBoDvwB8LXN9hP9Iv6d69e6BjKUqdnHPOOXj8bqr8J2j8B5RpJfTr34/w8PAAJlOUUxs6dCj9+/Xj04IESty1WwryQW48bmlg1m23q9liAXTCAldKWRrIIIqiKA3B4/GA7vgvKlLo8HrrvpZGUQItNjaWlNQUfAf/eLHGd9CHEIKsrKwgJFOU2uvQoQMAFf7y437drblw+hxHj1OUUCKEYMaNNyL0Bj7JP/Xsr71VJtaURDFhwiWkpaUFIKHyCzWXSVGUJq2srAxpOP5IgNSHU1KqruUpjUPnzM5oZRL5uw0ZfSV+WqW1UltOKCEvPj6eCGsElb7jF7iVRwrfjIyMQMZSlFqLj49n/MUTWFMSRZ795LMMPi5IICY6iokTJwYonfILVeAqitKk7dmzFy086rhfk6ZocnNy8fv/OO1TUUJNhw4d8Dv9aPZfC1wpJbJUktkpM4jJFKV2hBB0yuxEhVZ23K+X+UrR6XSqwFVC2oQJE7CYTXxVGHfCY/ZUmdlVaWbipZfVLJVSAkoVuIqiNFkFBQUcPnwIbAnHPyAiHpfLyc6dOwMbTFFOQ6dOnQDwHfp1mrJWqeF3+49+TVFCXdeuXanyVeLR3H/4WpmvhIx2GaogUEKa1Wpl7J/Hsb40krITrMVdUhyDLcKqtroKElXgKorSZC1fvrzmRlTq8Q+ISkEIHd9//33gQinKaWrTpg3WCCu+A78WuN7imts9evQIVixFqZMuXboAUOorOebzfumnwl9G125dgxFLUepk8ODBSGBb5R+XhmgStlfZGHDOQNXIMkhUgasoSpPk9/tZ9MUXEJkE4bbjH2QIR4tO45vFi3G5XIENqCh1pNfr6dmjJ/4DGr9MUvYV+4hPiCcxMTGo2RSltjIyMjAYDJT7ju1/UOkvR5ManTt3DlIyRam9Vq1aYTQYyK3+YwF7yGXE4RW0bds2CMkUUAWuoihN1Pfff0/J4cPIlqdYmxificNu56uvvgpMMEU5A126dMFv98ORZeNamaRb127BDaUodRAWFkb79h0o9x9b4JYdKXhVgas0BitWrMDr85EZZf/D11qYvLQw+Vny7eI/NAVUAkMVuIqiNDmapvHuu+8hLNEQ3erkB9sSwJbA+//5T82WQooSwpKSkmpuaBIpwe/wq9FbpVGRUhIf37KmY/Jvzv0rfKVEWCPU/rdKSMvNzeWll15i7tznSbJ46RZT/Ydj9AJGJB5ix85dzLr1Fr777ju1JWGA1W6XYkVRlEZk5cqV5OfnIducC0Kc8niZ2I3SXd/w7bffMnr06AAkVJS6k1Ie7fgtzDp04QL/IT9SSnw+HwaDeklXQpvL5eKll17i+++/p6UxAbOwHv0THWeM54C9iFtm3sKc++eofUOVkOHxeFi3bh2ffPIxGzZsxKCDfnHlnJ9cgu4EpxgD48vRJCzN9/HUU08RGx3FBX8ex/Dhw2nZ8tR76CpnRjSFofM+ffrIn3/+OdgxFEUJEbffPptte/PQsi4CUYuJKlKi2/45KbEWXnv1VUQtimJFCYTi4mI2bNjAhg0bWL9hPZUVlQBYB1vQR+mpWlSN9EtMJhNdu3alZ8+e9OjRg/T0dHQ6NUlLCR0FBQU88sgj5OXlkWHqRDtTxz/8rT3sPchm51owwKxZsxg8eHCQ0irNlZSSQ4cOsW3btpq37Gz27t2Dz68RHa5xbssSBsWXE2E8dnvB57NrLsjc1jnvmM9rErIrrCwpjmVbRU1DqhZxsWR2ziIzM5PMzEzatWuH0WgMzA/YyAkh1kop+5zyuFAtcIUQ5wMvAHrgDSnlkyc6VhW4iqL8orCwkGnTpiFT+0Bil9rf8fAuRM4PzJs3j44dOzZcQEU5ifLycjZs2MDGjRtZt34dBw8cBEBv1qNP0GFIMGBMNKCz1hSvmlvDd8CPt9iHdlDDV1nTVdkWaaNnj5pit0ePHr9ObVaUBqRpGmVlZRQVFVFcXMyBAwcoKiqiqKiI3bt3g1/QzdybFsb4Ez6GS3Oy0fEzZd4S2rRpQ3JyMklJSSQmJh59i4+PVwWBUi98Ph+7du0iOzv7SEG7ldKycgDC9JBucdImwkGGzUHnKDv6E1w3PFGB+1vFzjCyK6zsrTKzz2Gl1KUHwGgwkNE+g8zMznTq1ImuXbsSHR1dvz9oE1HbAjck5zMJIfTAfGAEUACsEUJ8KqXMDm4yRVFC3Zo1a2puxKTX7Y7RrUAIVq9erQpcJWA0TWPLli2sWrWKtevWkpdbc3KkC9Ohb6nD3NtUU9BG6o47s0AXriMsTUdYWs3JvmbX8B7w4S528cOaH1i2bBkALeNb0qtnL/r160efPn0ICwsL3A+pNCl2u50DBw5QXFx8zFvh/kIOHDyAz+c75nizwYIJM/G6ZNpFdMCss5z08U06M32t57DPtYuy/FI25m9ipX8Vmvx1xEwIQWxMLMnJySQm/Vr4JiUlkZCQQExMjJqJoxyXlJL8/HzWr1/P+nXr2LRpI05XzZ7MLUx+2lmrGZHupI3NSarZfcKC9nQkmj0kmj0MSywDoNxjYG+1mX1VJvYWVPPpju18pNUc26Z1Oj179aZXr15kZWWp7YbqKCQLXKAfsFtKuRdACPEuMA5QBa6iKCdVUFCAzhiO/0RbA52IwYTOFElBQUHDBFOUI6SU7N27l++++44lS5dQWlKK0Av0LfSYuodjTDCgj9UjTrS46yR0Vh3hbcMIbxuGlBKtUsNb7KP8QBnfLP2Gr776CrPFzLmDzmXo0KF06dIFvV7fAD+l0lj5/X4OHTp03FHY4qJiqqqrjjneqAvDrLNgFhZS9a2xhFkx6yxYdFbMOjM6Uffnl07oaGf+9UKjlBK3dOHw23FqDhyaHWe1g4Lthezevhunz3nM/cPCwkhISCApKekPo7+JiYmqWGhmfD4fy5YtO1LUrqWktKbAbGn20yeykk6takZoI3837bihRYf56BVbRa/YKuAQXk2Qbw9nZ6WFbaUOPv04l48++giDQU/nzp3p1as3gwYNIjk5OaA5G6NQLXBTgPzffFwA9A9SFkVRGhG73Q760xudkjpjzf0VpQEUFxezdOlSlixdQkF+AUInMCTqsQ4wY0w1Igz1O+IkhEAfpUcfpYeO4UhN4iv24cnx8s2SmmI3JjaGoUOGMnToUNq1a6dGvZq5t956iw8//BBN0475fJguDJsuimhdHEnmNCw6C2adFYvOglHX8LMBhBCYhBmTznzcr/ulH6fmwKnZcfiPvC92sLUwm9X+1X84Pj09nQULFqh16s3Et99+y7x58wjTSbpEVzGqjZ3MSActTKHV2diok7S1uWhrc3F+Siluv2B3lYXtFRY273Lx902bWbp0CQsXvhrsqCEvVAvc473CHrNYWAhxLXAtoDrtKYpyVFxcHNLjAE2Dupy8SInw2GnRokXDhVOapeXLl/PhRx+yY/sOAAwtDVj6mjC2MqIzBe4EW+gExmQjxmQj0ifx7vdSnVPFfz/+Lx999BHJKcmMPn8048ePVyf+zVSXLl0oKioiLzePwqLCo9ONPZqHKlGBX/OjoQESgUAv9OilAV1tmvk1ECklXunBrblw+B3YtWrs/iqcOHD4f71gKYSgRYsWpLVKI6tLlrqY04wMHDiQr778kh07tpMZZadPXBUmvXbqOwZZuF6SGWUnOszL9iobRoOBa66ZFuxYjUKoFrgFwG83r0wFCn97gJTyNeA1qGkyFbhoiqKEsqysLD744AOoKoSo1Nrf0VGC5nWSmZnZcOGUZun999+vabBzhFah4dnrw3fIj86mQ2/ToYvUo7fpEMaGOemWfolWpeGv0mreV/rRqiSyWiK1mpfQwv2FvPvuu5x//vlEREQ0SA4ltPXr149+/foBNVOVDx48SEFBwdG3/Px88vPy2V/xayMdgcBiiMAirFh1EUToI7DqbVh1EYTp6m9PW7/0YffbsWtV2P3V2P3VOGQ1dq0an/brul9TuInU1ql0a9WF1NRUWrVqRWpqKsnJyWqP3WbKarXy2OOP8+AD9/OvLfDvfUkkWrykWxykW520jnCRYnFj1AW3nJASSj0GcqvN5NpN5NjN5DnMuHyCMKOBvz70EL169QpqxsYiJLsoCyEMwE7gPGA/sAa4XEq59XjHqy7KiqL8wuPxcPnkydj10cj2w2t/x33LCavM41//+hc2Wx3X7yrKSfj9fg4cOMD+/fuPvhUUFFCwv4CSwyX89nVYb9EjIgQ6m0Bv09cUwJE6dBE6hP7kxa/UJJr9lwJWO1rQUg2+6mMb/0RGRdIq9dcT/5SUFFJTU0lKSlINqJRTstvtxy18fzvqC2DWW4g3JJEYlkK0vu6Nn5x+B8Xe/RR7C6nwlR39/G9HY1NbpZKamnq0mI2NjVWjs8pxeb1eNmzYwM6dO9mxYwc7d2ynorJmTbleQKrVXVP0RrhoG+EkweShtk+l2nRR/j2nT1fTZKraRK7dTK7DSpWn5hsa9HratGlNh46d6NChA927dychIaEuP26T1Ki7KEspfUKIm4CvqNkm6K0TFbeKoii/FRYWxqUTJ/LWW29BZRFE1mJ7FEcJomQP4yZMUMWtUu/0ej3JyckkJyfTt2/fY77mdrspKio6bvFbuafymGMNEQaIAH2kDmOqEZ1J4N7rQavSkNXgr/IfHY0FMFvMpKWkk5qZSkpKytG35ORkrFZrQH52pWmyWq107NjxDx3nfz/qu2nTJn5e8zO57j2Y9RYSDMkkhqUQpY8+YRHq1Bwc8BRS7C2k3FcKQEZGBhf0H0NaWhqtWrVSo7HKaTEajfTt2/fo3+Ff9rw9WvDu3MmanTtYdrCmq7ItTNLOWk2GzUGGzUmq1cUprjOeVLnHwJ4qM7urLOyutrLfHoYEhIBWKSn075NJhw4d6NChA23atFEXG89ASI7g1pUawVUU5bdcLhfXXX89hypdaJljQXeSa3lSQ7f9C2x6L2+88boqcJWQYbfbjxa9hYWFR4uGvPw8/Ho/uhiBv1irGblKbXVMEZuSkkJUVJQayVKCzm63s2rVKpYtW8batWvx+/1Y9NajxW6kPgq3dFHsKeSAt5AyXwkAbdq0YciQIQwcOFB1jVUCRtM0CgoKyM7OZsuWLWzZvIkDBw8BEK6HNlY7GTYH3WKqaWV1H73f8UZwXX4da0tsRwraCA4f2fc2PMxIZmZnunTtSufOnenYsSMWy8m3z1Jq1HYEVxW4iqI0SRs2bOCee+5BJmRBq74nPrBoE2L/Ou655x7OPffcwAVUlNP0ySefsHDhQgBGjBjBbbfdFuREilI7VVVVrFq1iu+//5716zegaX5s+iiq/ZVIJOlp6QweMphBgwaRmlqHHgqK0oAOHz7M1q1b2bp1K1s2byInNxcpoVdsJWNTD5No9hxT4Ho1wfKD0fyvMJ5qryDSFkGXrt3IysoiKyuLdu3aYTCE5CTakNeopygriqKcqR49evCnP/2JRYsWIaNbgS3xjwc5StEVbmDgoEEMGjQo8CEV5TR06tTpuLcVJdTZbDZGjBjBiBEjqKys5O677mZfzj4A5s2b94cpz4oSClq0aMHgwYMZPHgwUHOh5uOPP+ajDz9gw+ZIBrQoxy9r1vH+XGLj44JESlx6unXrypVXXkVmZqaaTRNgah8ARVGarL/85S/EJySgy/0RtGOb7CA1dLk/YrPZuPHGG9WLj9JotG7d+ujt9PT04AVRlDMQGRlJQuKvTXMyMjKCmEZRas9mszFlyhT+9ve3GfvncawsieWQKwy3X/Dm7hSikzN47LHHePLJp+jcubM6vwgCVeAqitJkmUwmZt16K9JVCcVbjv3ioR1I+2FuuulGoqKighNQUU7Db6e2qWluSmP2S88Di9mCXq8PchpFqZvo6Giuv/56xl14IVU+A8WucKwWM089/Qy9evVShW0QqQJXUZQmrUePHgwaNAjdgS3gcdR80u9BV7SBbt26MXDgwOAGVJQ60ul+felWRYHSmJlMpmPeK0pjNH78eAA8mo7RY/6kutSHAFXgKorS5F111VWg+eFgds0nDu1Eet1MmzZNXWFVGp3fPmdVgas0Zr9s9aO2/FEas7i4uKO3VXO00KAKXEVRmrzk5GQGDBiArmQXaH50h3fQtWtXOnToEOxoinJG1D6JSmP2y8it0WgMchJFqR8RERHBjqCgClxFUZqJ4cOHI71u9Fs/QrqqGDFiRLAjKcoZUwWu0piZzWZAzURQmg51sSY0qO4UiqI0C3369OHCCy+koqICi8WitgVSmgRV4CqNmcViqbmhVoooTYRq/Bca1P8FRVGaBYPBwHXXXRfsGIpSr1RzHqUx+6UZj5QyyEkUpX6oAjc0qCnKiqIoivL/7d1/qN3nXQfw94e0VWFiWpY/uqbYKrW0mzWaUFeGrI4N6zYswnAVtzERptBBhYo4VDrBiqjT4fwxqmsLWlw7N2EOYXa4zn/Emrpam8Vq1EljAk0RcZPZkfrxj3suu2CSm9zce55zn7xecOCc7/2ec94n98vNeZ/n+T5nlzKCy262Pp3TYn/MYuMq94zjtwDLC74EAAAJkUlEQVQAu5RiwG5mtIvZOJ98NSi4AAAs3XrBNUWZWSi4q0HBBQBg6dbLgJkIzMKshNWg4AIAsHTKALMxgrsaFFwAAJZufUEeU5SZhe/BXQ0KLgAAw5iizCzMSlgNCi4AAEtn5JbZKLirQcEFAGAYRZdZKLirQcEFAGDp1s/BNUWZWSi4q0HBBQBg6dYLLszCKsqrwV8WAACWzirKzMYI7mpQcAEAGMYUZWZhVsJq8FsAAAC4SD6sWQ0KLgAAw5iiDGwnBRcAgGGMegHbScEFAABgCgouAADDmKIMbCcFFwCAYUxRBraTggsAAMAUFFwAAIYxRRnYTgouAADDmKIMbCcFFwAAgCkouAAADGOKMrCdFFwAAJbO1GRgJyi4AAAATEHBBQAAYAoKLgAAAFNQcAEAAJiCggsAAMAUFFwAAACmoOACAAAwBQUXAACAKSi4AAAATEHBBQAAYAoKLgAAAFNQcAEAAJiCggsAALBFBw8eHB2BDS4bHQAAAGC3uvfee/P888+PjsHCkBHcqnp/Vf17VT29uLx5w8/eV1XHquq5qvq+EfkAAADOx5VXXplbbrlldAwWRo7g/kZ3/9rGDVV1c5K7krw6yauSfKaqvq27Xx4REAAAgN1j1c7BvTPJR7v7pe7+1yTHktw6OBMAAAC7wMiC+96qeqaqHqyqKxfbrkmycQL78cU2AAAAOKcdK7hV9ZmqevYMlzuT/G6Sb01yIMnJJB9Yv9sZHqrP8vjvqarDVXX41KlTO/IaAAAA2D127Bzc7n7j+exXVb+X5FOLm8eTXLvhx/uTnDjL4z+Q5IEkOXTo0BlLMAAAAJeOUasoX73h5g8meXZx/ZNJ7qqqr6uq65PckOTJZecDAABg9xm1ivKvVNWBrE0//mKSH0+S7j5SVY8l+UKS00nutoIyAAAA52NIwe3ud57jZ/cnuX+JcQAAAJjAqn1NEAAAAGyJggsAAMAUFFwAAACmoOACAAAwBQUXAACAKSi4AAAATEHBBQAAYAoKLgAAAFNQcAEAAJiCggsAAMAUFFwAAACmoOACAAAwBQUXAACAKSi4AAAATEHBBQAAYAoKLgAAAFNQcAEAAJiCggsAAMAUFFwAAACmoOACAAAwBQUXAACAKSi4AAAATEHBBQBg6bp7dARgQgouAADDVNXoCMBEFFwAAACmoOACADCMqcrAdlJwAQAYxhRlYDspuAAAAExBwQUAYBhTlIHtpOACADCMKcrAdlJwAQAAmMJlowMAABfmvvvuy8mTJ0fHgIuyd+/eJMntt98+NggwlZrhvIdDhw714cOHR8cAAOACnDp1KldddVX27NkzOgqw4qrqqe4+tNl+RnABABhi3759oyMAk3EOLgAAAFNQcAEAAJiCggsAAMAUFFwAAACmoOACAAAwBQUXAACAKSi4AAAATEHBBQAAYAoKLgAAAFNQcAEAAJiCggsAAMAUFFwAAACmUN09OsNFq6pTSf5tdI7JvTLJi6NDwDZwLDMLxzIzcBwzC8fyzvvm7t632U5TFFx2XlUd7u5Do3PAxXIsMwvHMjNwHDMLx/LqMEUZAACAKSi4AAAATEHB5Xw9MDoAbBPHMrNwLDMDxzGzcCyvCOfgAgAAMAUjuAAAAExBwWVTVXVHVT1XVceq6mdG54GtqKoHq+qFqnp2dBbYqqq6tqo+W1VHq+pIVd0zOhNsRVV9fVU9WVV/tziWf2F0JtiqqtpTVZ+vqk+NzoKCyyaqak+S307y/UluTvLDVXXz2FSwJQ8nuWN0CLhIp5Pc2903JXltkrv9TWaXeinJG7r7O5IcSHJHVb12cCbYqnuSHB0dgjUKLpu5Ncmx7v6X7v5qko8muXNwJrhg3f2XSf5jdA64GN19srv/dnH9S1l7Q3XN2FRw4XrNlxc3L19cLAzDrlNV+5O8Jcnvj87CGgWXzVyT5PkNt4/HmymA4arquiTfmeSvxyaBrVlM63w6yQtJHu9uxzK70QeT/HSS/x0dhDUKLpupM2zzCSvAQFX1iiQfT/KT3f1fo/PAVnT3y919IMn+JLdW1WtGZ4ILUVVvTfJCdz81Ogtfo+CymeNJrt1we3+SE4OyAFzyquryrJXbR7r7E6PzwMXq7v9M8kSsk8Du87okP1BVX8zaaXxvqKo/HBsJBZfN/E2SG6rq+qq6IsldST45OBPAJamqKslHkhzt7l8fnQe2qqr2VdXexfVvSPLGJP8wNhVcmO5+X3fv7+7rsvYe+S+6+x2DY13yFFzOqbtPJ3lvkk9nbTGTx7r7yNhUcOGq6o+S/FWSG6vqeFX92OhMsAWvS/LOrI0SPL24vHl0KNiCq5N8tqqeydqH6Y93t69YAS5adTudEgAAgN3PCC4AAABTUHABAACYgoILAADAFBRcAAAApqDgAgAAMAUFFwCWpKp+tqqOVNUzi6/4+e4dfK6fqKp3La6/u6petVPPBQCr4rLRAQDgUlBVtyV5a5Lv6u6XquqVSa7Yoee6rLs/vGHTu5M8m+TETjwfAKwKI7gAsBxXJ3mxu19Kku5+sbtPVNXBqvpcVT1VVZ+uqqur6qaqenL9jlV1XVU9s7j+//ZfbH+iqn6pqj6X5J6qen9V/VRVvS3JoSSPLEaN31JVf7Lhsd9UVZ9Y5j8EAOwUBRcAluPPk1xbVf9YVb9TVa+vqsuTfCjJ27r7YJIHk9zf3UeTXFFV37K479uTPHa2/Tc8x97ufn13f2B9Q3f/cZLDSX6kuw8k+bMkN1XVvsUuP5rkoR171QCwRKYoA8ASdPeXq+pgku9J8r1JHk3yi0lek+TxqkqSPUlOLu7yWJIfSvLLWSu4b09y4zn2z+IxN8vRVfUHSd5RVQ8luS3Juy729QHAKlBwAWBJuvvlJE8keaKq/j7J3UmOdPdtZ9j90SQfW0wf7u7+p6r69nPsnyT/fZ5RHkryp0n+J8nHuvv0hbwOAFhVpigDwBJU1Y1VdcOGTQeSHE2yb7EAVarq8qp6dZJ09z8neTnJz+drI7PPnW3/TXwpyTeu3+juE1lbcOrnkjx8Ma8LAFaJEVwAWI5XJPlQVe1NcjrJsSTvSfJAkt+sqm/K2v/LH0xyZHGfR5P8apLrk6S7v7pYNOps+5/Nw0k+XFVfSXJbd38lySNJ9nX3F7bvJQLAWNXdozMAAEtWVb+V5PPd/ZHRWQBguyi4AHCJqaqnsna+7pvWv7YIAGag4AIAADAFi0wBAAAwBQUXAACAKSi4AAAATEHBBQAAYAoKLgAAAFNQcAEAAJjC/wFs3D0criBFRwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity Impact by Temperature\n",
"plt.figure(figsize = (16, 6))\n",
"ax = sns.violinplot(y=\"Temperature(F)\", x=\"Severity\", data=acc_df, palette=\"Set1\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Median temperature for all severity is at 50 to 60 degrees (F)\n",
"* Severity 2, 3, 4 - Density is high around 0 and crosses -50. So mostly winters due to snow, ice etc\n",
"* Severity 2, 3, 4 - Density is high across 60-70 degree. Its summer time and everyone is driving around. Higher chances of accidents."
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity Impact by Wind_Chill\n",
"plt.figure(figsize = (16, 6))\n",
"ax = sns.violinplot(y=\"Wind_Chill(F)\", x=\"Severity\", data=acc_df, palette=\"Set2\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Severe accidents happen with windchill 0 degree F in peak of winter."
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity Impact by Humidity\n",
"plt.figure(figsize = (16, 6))\n",
"ax = sns.violinplot(y=\"Humidity(%)\", x=\"Severity\", data=acc_df, palette=\"Set3\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Severe accidents occur when humidity is around 80% "
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity Impact by Visibility\n",
"plt.figure(figsize = (16, 6))\n",
"ax = sns.violinplot(y=\"Visibility(mi)\", x=\"Severity\", data=acc_df, palette=\"Set3\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Severe accidents occur when visibility is low (0-5 miles)"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity Impact by Windspeed\n",
"plt.figure(figsize = (16, 6))\n",
"ax = sns.violinplot(y=\"Wind_Speed(mph)\", x=\"Severity\", data=acc_df)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* We cannot clearly demarkate the impact of windspeed with severity\n",
"* Windspeed ranges between 0 to 800. Highest winspeed ever recorded in US in 254 miles/hr (https://www.thoughtco.com/fast-wind-speed-recorded-3444498)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1152x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity Impact by Precipitation\n",
"plt.figure(figsize = (16, 6))\n",
"ax = sns.boxplot(y=\"Precipitation(in)\", x=\"Severity\", data=acc_df)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Can't determine from data if there is a clear co-relation between precipitation and Severity[](http://)"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Precipitation(in)</th>\n",
" <th>Severity</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Precipitation(in)</th>\n",
" <td>1.000000</td>\n",
" <td>0.005104</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Severity</th>\n",
" <td>0.005104</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Precipitation(in) Severity\n",
"Precipitation(in) 1.000000 0.005104\n",
"Severity 0.005104 1.000000"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Co-relation between Precipitation and Sverity\n",
"acc_df[['Precipitation(in)', 'Severity']].corr()"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Light Rain',\n",
" 'Overcast',\n",
" 'Mostly Cloudy',\n",
" 'Rain',\n",
" 'Light Snow',\n",
" 'Haze',\n",
" 'Scattered Clouds',\n",
" 'Partly Cloudy',\n",
" 'Clear',\n",
" 'Snow',\n",
" 'Light Freezing Drizzle',\n",
" 'Light Drizzle',\n",
" 'Fog',\n",
" 'Shallow Fog',\n",
" 'Heavy Rain',\n",
" 'Light Freezing Rain',\n",
" 0,\n",
" 'Drizzle',\n",
" 'Light Rain Showers',\n",
" 'Mist',\n",
" 'Smoke',\n",
" 'Patches of Fog',\n",
" 'Light Freezing Fog',\n",
" 'Light Haze',\n",
" 'Light Thunderstorms and Rain',\n",
" 'Thunderstorms and Rain',\n",
" 'Volcanic Ash',\n",
" 'Blowing Sand',\n",
" 'Widespread Dust',\n",
" 'Rain Showers',\n",
" 'Hail',\n",
" 'Heavy Drizzle',\n",
" 'Thunderstorm',\n",
" 'Heavy Thunderstorms and Rain',\n",
" 'Funnel Cloud',\n",
" 'Blowing Snow',\n",
" 'Light Thunderstorms and Snow',\n",
" 'Heavy Snow',\n",
" 'Low Drifting Snow',\n",
" 'Light Ice Pellets',\n",
" 'Ice Pellets',\n",
" 'Squalls',\n",
" 'Light Fog',\n",
" 'Sand',\n",
" 'Snow Grains',\n",
" 'Snow Showers',\n",
" 'Heavy Thunderstorms and Snow',\n",
" 'Heavy Ice Pellets',\n",
" 'Heavy Freezing Rain',\n",
" 'Small Hail',\n",
" 'Heavy Rain Showers',\n",
" 'Light Snow Showers',\n",
" 'Heavy Blowing Snow',\n",
" 'Light Hail',\n",
" 'Heavy Smoke',\n",
" 'Heavy Thunderstorms with Small Hail',\n",
" 'Light Thunderstorm',\n",
" 'Heavy Freezing Drizzle',\n",
" 'Light Blowing Snow',\n",
" 'Thunderstorms and Snow',\n",
" 'Light Snow Grains',\n",
" 'Dust Whirls']"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Weather_Condition\n",
"acc_df['Weather_Condition'].unique().tolist()"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa7f9e38e10>"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1080x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Top 10 weather condition\n",
"plt.figure(figsize = (15, 6))\n",
"acc_df[acc_df['Weather_Condition'] != 0]['Weather_Condition'].value_counts().iloc[:10].plot(kind='bar', color=['C0', 'C1', 'C2', 'C3', 'C4'], title='Top 10 Weather Condition')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Most accidents happend in clear conditions."
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Weather_Condition Word Cloud\n",
"from wordcloud import WordCloud\n",
"weather_cond = acc_df[\"Weather_Condition\"].str.split(\"(\").str[0].value_counts().keys()\n",
"wc = WordCloud(scale=5,max_words=15,colormap=\"rainbow\",background_color=\"white\").generate(\" \".join(weather_cond))\n",
"plt.figure(figsize=(10,10))\n",
"plt.imshow(wc,interpolation=\"bilinear\")\n",
"plt.axis(\"off\")\n",
"plt.title(\"Top 15 Weather conditions\",color='b')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
"# Start_LatShows latitude in GPS coordinate of the start point.\n",
"# Start_LngShows longitude in GPS coordinate of the start point."
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7fa7f9f14780>"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x360 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity by Bump\n",
"bump_df = acc_df.groupby(['Bump', 'Severity'])['Counter'].sum().reset_index()\n",
"sns.factorplot(\"Severity\", \"Counter\", col=\"Bump\", data=bump_df, kind=\"bar\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Accidents mostly happend where there were no bumps"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7fa84a4b2748>"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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v2h3nHa3+zSQHdfUVrbYuydFdfWgfkiRJ0pgZD8hJdgb+BFheVXsAi4DDgfcAx1fVMuAO4Mi2y5HAHVX1eOD41o4ku7f9ngSsAD6SZFGSRcCHgYOB3YGXt7ZM0ockSZIEjO4Wi8XAg5MsBh4C3ArsD5zdtp8GvKStH9I+07YfkCStfkZV3V1V3wbWAXu3ZV1V3VRVPwPOAA5p+0zUhyRJkgSMICBX1feA9wHfZRCM7wSuBH5YVfe0ZuuBndv6zsDNbd97WvtH9fVx+0xUf9QkfUiSJEnAaG6x2JHB1d/dgF8DHsrgdojxamyXCbZtq/qwMa5KsjbJ2g0bNgxrIkkLgvOhpIVoFLdYPBf4dlVtqKqfA58GngHs0G65AFgK3NLW1wO7ALTt2wMb+/q4fSaq3z5JH/dTVSdV1fKqWr5kyZKtOVdJmtOcDyUtRJsMyO2Lb/+wDfv8LrBPkoe0+4IPAK4HLgAObW1WAue09XPbZ9r2L1dVtfrh7SkXuwHLgMuBK4Bl7YkV2zH4It+5bZ+J+pAkSZKAKQTkqroXWLKtHolWVZcx+KLcV4Fr2hhOAt4OvDnJOgb3C5/cdjkZeFSrvxk4uh3nOuAsBuH6C8BRVXVvu8f49cBq4AbgrNaWSfqQJEmSgMHTJKbiO8AlSc4FfjxWrKq/3ZJOq+oY4Jhx5ZsYPIFifNufAodNcJxjgWOH1M8DzhtSH9qHJEmSNGaqAfmWtvwK8PDpG44kSZI0WlMKyFX1VwBJHlpVP95Ue0mSJGmumtJTLJLsm+R6Bvf0kuQpST4yrSOTJEmSRmCqj3n7AHAQ8AOAqvo68KzpGpQkSZI0KlN+DnJV3TyudO82HoskSZI0clP9kt7NSZ4BVHvc25/QbreQJEmS5pOpXkF+LXAUsDODN9XtCfzxdA1KkiRJGpWpXkF+QlW9oi8k2Q+4ZNsPSZIkSRqdqV5B/uAUa5IkSdKcNukV5CT7As9g8KrpN3ebHgEsms6BSZIkSaOwqVsstgMe1tr1b9D7T+DQ6RqUJEmSNCqTBuSqugi4KMmpVfXvMzQmSZIkaWSm+iW9ByY5Cdi136eq9p+OQUmSJEmjMtWA/Cngo8DH8AUhkiRJmsemGpDvqaoTp3UkkmaNi5717FEPYas9++KLRj0ESdIcNdXHvH02yR8n2SnJI8eWaR2ZJEmSNAJTvYK8sv38s65WwOO27XAkSZKk0ZpSQK6q3aZ7IJIkSdJsMKWAnOSIYfWqOn3bDkeSJEkaraneYvG0bv1BwAHAVwEDsiRJkuaVqd5i8Yb+c5Ltgb+flhFJkiRJIzTVp1iM9xNg2bYciCRJkjQbTPUe5M8yeGoFwCLgicBZ0zUoSZIkaVSmeg/y+7r1e4B/r6r10zAeSZIkaaSmdItFVV0EfAN4OLAj8LPpHJQkSZI0KlMKyEleClwOHAa8FLgsyaHTOTBJkiRpFKZ6i8U7gadV1W0ASZYAXwLOnq6BSZIkSaMw1adY/MpYOG5+sBn7SpIkSXPGVK8gfyHJauCT7fPLgPOmZ0iSJEnS6EwakJM8HnhsVf1Zkv8B/C4Q4CvAJ2ZgfJIkSdKM2tRtEh8A7gKoqk9X1Zur6k8ZXD3+wHQPTpIkSZppmwrIu1bV1eOLVbUW2HVaRiRJkiSN0KYC8oMm2fbgbTkQSZIkaTbYVEC+Iskfji8mORK4cks7TbJDkrOTfCPJDUn2TfLIJGuS3Nh+7tjaJskJSdYluTrJU7vjrGztb0yysqvvleSats8JSdLqQ/uQJEmSxmwqIL8JeHWSC5O8vy0XAa8B3rgV/f4d8IWq+i3gKcANwNHA+VW1DDi/fQY4GFjWllXAiTAIu8AxwNOBvYFjusB7Yms7tt+KVp+oD0mSJAnYRECuqu9X1TOAvwK+05a/qqp9q+o/tqTDJI8AngWc3Pr4WVX9EDgEOK01Ow14SVs/BDi9Bi4FdkiyE3AQsKaqNlbVHcAaYEXb9oiq+kpVFXD6uGMN60OSJEkCpvgc5Kq6ALhgG/X5OGAD8PEkT2Fwq8YbGTxO7tbW361JHtPa7wzc3O2/vtUmq68fUmeSPu4nySoGV6D59V//9S08TUma+5wPJS1Eo3gb3mLgqcCJVfU7wI+Z/FaHDKnVFtSnrKpOqqrlVbV8yZIlm7OrJM0rzoeSFqJRBOT1wPqquqx9PptBYP5+uz2C9vO2rv0u3f5LgVs2UV86pM4kfUiSJEnACAJyu3f55iRPaKUDgOuBc4GxJ1GsBM5p6+cCR7SnWewD3Nluk1gNHJhkx/blvAOB1W3bXUn2aU+vOGLcsYb1IUmSJAFTvAd5GrwB+ESS7YCbgFczCOtntUfIfRc4rLU9D3g+sA74SWtLVW1M8m7gitbuXVW1sa2/DjiVwbOaP98WgOMm6EOSJEkCRhSQq+oqYPmQTQcMaVvAURMc5xTglCH1tcAeQ+o/GNaHJEmSNGYU9yBLkiRJs5YBWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeqMLCAnWZTka0k+1z7vluSyJDcmOTPJdq3+wPZ5Xdu+a3eMd7T6N5Mc1NVXtNq6JEd39aF9SJIkSWNGeQX5jcAN3ef3AMdX1TLgDuDIVj8SuKOqHg8c39qRZHfgcOBJwArgIy10LwI+DBwM7A68vLWdrA9JkiQJGFFATrIUeAHwsfY5wP7A2a3JacBL2voh7TNt+wGt/SHAGVV1d1V9G1gH7N2WdVV1U1X9DDgDOGQTfUiSJEnA6K4gfwB4G/Df7fOjgB9W1T3t83pg57a+M3AzQNt+Z2t/X33cPhPVJ+tDkiRJAkYQkJO8ELitqq7sy0Oa1ia2bav6sDGuSrI2ydoNGzYMayJJC4LzoaSFaBRXkPcDXpzkOwxuf9ifwRXlHZIsbm2WAre09fXALgBt+/bAxr4+bp+J6rdP0sf9VNVJVbW8qpYvWbJky89UkuY450NJC9GMB+SqekdVLa2qXRl8ye7LVfUK4ALg0NZsJXBOWz+3faZt/3JVVasf3p5ysRuwDLgcuAJY1p5YsV3r49y2z0R9SJIkScDseg7y24E3J1nH4H7hk1v9ZOBRrf5m4GiAqroOOAu4HvgCcFRV3dvuMX49sJrBUzLOam0n60OSJEkCYPGmm0yfqroQuLCt38TgCRTj2/wUOGyC/Y8Fjh1SPw84b0h9aB+SJEnSmNl0BVmSJEkaOQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSZ0ZD8hJdklyQZIbklyX5I2t/sgka5Lc2H7u2OpJckKSdUmuTvLU7lgrW/sbk6zs6nsluabtc0KSTNaHJEmSNGYUV5DvAd5SVU8E9gGOSrI7cDRwflUtA85vnwEOBpa1ZRVwIgzCLnAM8HRgb+CYLvCe2NqO7bei1SfqQ5IkSQJGEJCr6taq+mpbvwu4AdgZOAQ4rTU7DXhJWz8EOL0GLgV2SLITcBCwpqo2VtUdwBpgRdv2iKr6SlUVcPq4Yw3rQ5IkSQJGfA9ykl2B3wEuAx5bVbfCIEQDj2nNdgZu7nZb32qT1dcPqTNJH+PHtSrJ2iRrN2zYsKWnJ0lznvOhpIVoZAE5ycOAfwTeVFX/OVnTIbXagvqUVdVJVbW8qpYvWbJkc3aVpHnF+VDSQjSSgJzkAQzC8Seq6tOt/P12ewTt522tvh7Ypdt9KXDLJupLh9Qn60OSJEkCRvMUiwAnAzdU1d92m84Fxp5EsRI4p6sf0Z5msQ9wZ7s9YjVwYJId25fzDgRWt213Jdmn9XXEuGMN60OSJEkCYPEI+twPeCVwTZKrWu1/AccBZyU5EvgucFjbdh7wfGAd8BPg1QBVtTHJu4ErWrt3VdXGtv464FTgwcDn28IkfUiSJEnACAJyVf0rw+8TBjhgSPsCjprgWKcApwyprwX2GFL/wbA+JEmSpDG+SU+SJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqLB71ACRJ0tyw3wf3G/UQttolb7hk1EPQHOAVZEmSJKljQJYkSZI6BmRJkiSpY0CWJEmSOgZkSZIkqWNAliRJkjoGZEmSJKnjc5AlCfjQWz476iFstde//0WjHoIkzQteQZYkSZI6BmRJkiSpY0CWJEmSOgZkSZIkqWNAliRJkjoGZEmSJKljQJYkSZI6BmRJkiSpY0CWJEmSOgZkSZIkqWNAliRJkjoLMiAnWZHkm0nWJTl61OORJEnS7LF41AOYaUkWAR8GngesB65Icm5VXT/akUmSpNnmomc9e9RD2GrPvviiUQ9hzllwARnYG1hXVTcBJDkDOAQwIEuSpAXvQ2/57KiHsNVe//4XbdX+qaptNJS5IcmhwIqqek37/Erg6VX1+q7NKmBV+/gE4JszPtCBRwO3j6jvUfGcF4aFeM4wuvO+vapWbMmOzocj5TkvDJ7zzJrSfLgQryBnSO1+/0qoqpOAk2ZmOBNLsraqlo96HDPJc14YFuI5w9w8b+fD0fGcFwbPeXZaiF/SWw/s0n1eCtwyorFIkiRpllmIAfkKYFmS3ZJsBxwOnDviMUmSJGmWWHC3WFTVPUleD6wGFgGnVNV1Ix7WREb+Z80R8JwXhoV4zrBwz3tbWIj/23nOC4PnPAstuC/pSZIkSZNZiLdYSJIkSRMyIEuSJEkdA/IstBBfhZ3klCS3Jbl21GOZKUl2SXJBkhuSXJfkjaMe03RL8qAklyf5ejvnvxr1mGZKkkVJvpbkc6Mey1zifLgwOB86H842BuRZpnsV9sHA7sDLk+w+2lHNiFOBLXqRwRx2D/CWqnoisA9w1AL4//puYP+qegqwJ7AiyT4jHtNMeSNww6gHMZc4Hy4ozofOh7OKAXn2ue9V2FX1M2DsVdjzWlVdDGwc9ThmUlXdWlVfbet3MZgsdh7tqKZXDfyofXxAW+b9N4WTLAVeAHxs1GOZY5wPFwjnQ+fD2caAPPvsDNzcfV7PPJ8kBEl2BX4HuGy0I5l+7U9rVwG3AWuqat6fM/AB4G3Af496IHOM8+EC5Hw4782J+dCAPPts8lXYml+SPAz4R+BNVfWfox7PdKuqe6tqTwZvsdw7yR6jHtN0SvJC4LaqunLUY5mDnA8XGOdD58PZwoA8+/gq7AUkyQMY/DL4RFV9etTjmUlV9UPgQub/vZb7AS9O8h0Gtwjsn+QfRjukOcP5cAFxPnQ+nE0MyLOPr8JeIJIEOBm4oar+dtTjmQlJliTZoa0/GHgu8I3Rjmp6VdU7qmppVe3K4L/nL1fVH4x4WHOF8+EC4XzofDjbGJBnmaq6Bxh7FfYNwFmz+FXY20ySTwJfAZ6QZH2SI0c9phmwH/BKBv+Cvqotzx/1oKbZTsAFSa5mEH7WVNWsfcyPRsv50Plw1IOaZs6Hs5ivmpYkSZI6XkGWJEmSOgZkSZIkqWNAliRJkjoGZEmSJKljQJYkSZI6BmRpCyR5Z5LrklzdHkf09Gns67VJjmjrr0rya9PVlyRtLudDzUeLRz0Aaa5Jsi/wQuCpVXV3kkcD201TX4ur6qNd6VXAtfg2MUmzgPOh5iuvIEubbyfg9qq6G6Cqbq+qW5LsleSiJFcmWZ1kpyRPTHL52I5/StbhAAAB+klEQVRJdm0PhWdY+1a/MMnfJLkIeGOSv0zy1iSHAsuBT7SrNC9I8pnu2M9LsqBezypp5JwPNS8ZkKXN90VglyTfSvKRJM9O8gDgg8ChVbUXcApwbFXdAGyX5HFt35cBZ03Uvutjh6p6dlW9f6xQVWcDa4FXVNWewHnAE5MsaU1eDXx82s5akn6Z86HmJW+xkDZTVf0oyV7AM4HfA84E/hrYA1iTBGARcGvb5SzgpcBxDH4hvAx4wiTtacfc1Dgqyd8Df5Dk48C+wBFbe36SNFXOh5qvDMjSFqiqe4ELgQuTXAMcBVxXVfsOaX4m8Kn2576qqhuTPHmS9gA/nuJQPg58Fvgp8KmqumdzzkOStpbzoeYjb7GQNlOSJyRZ1pX2BG4AlrQvrJDkAUmeBFBV/wbcC/xvfnEl5JsTtd+Eu4CHj32oqlsYfEHlz4FTt+a8JGlzOR9qvvIKsrT5HgZ8MMkOwD3AOmAVcBJwQpLtGfy39QHgurbPmcB7gd0Aqupn7UsmE7WfyKnAR5P8F7BvVf0X8AlgSVVdv+1OUZKmxPlQ81KqatRjkLQVknwI+FpVnTzqsUjSKDkfalsxIEtzWJIrGdyf97yxxyxJ0kLkfKhtyYAsSZIkdfySniRJktQxIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1Pn/eX7ROC28JaAAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 720x360 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity by Crossing\n",
"cross_df = acc_df.groupby(['Crossing', 'Severity'])['Counter'].sum().reset_index()\n",
"sns.factorplot(\"Severity\", \"Counter\", col=\"Crossing\", data=cross_df, kind=\"bar\")"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7fa7fa048dd8>"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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wLnBE22eqPiRJkiRgBAG5qv4d+GvgWwyC8V3A1cD3qmpza7YB2LMt7wnc0vbd3No/oq9P2meq+iOm6UOSJEkCRnOLxe4Mrv7uA/wS8IsMboeYrCZ2mWLbjqoPG+NxSdYlWbdx48ZhTSRpLDgfShpHWwzI7b7ev92BfT4T+EZVbayq/wA+CTwF2K3dcgGwDLi1LW8A9mpjWQLsCmzq65P2map+xzR93E9VnVpVK6pqxdKlS7fnXCVpQXM+lDSOthiQq+peYOkOfOLDt4CDkvxCuy/4UOAG4CLgyNZmFfCptry6rdO2f6GqqtWPbk+52AdYDlwJXAUsb0+s2JnBD/lWt32m6kOSJEkCBj+Wm4lvApclWQ38cKJYVe/d2g6r6ook5wNfAjYD1wCnAv8AnJvk7a12WtvlNOBjSdYzuHJ8dDvO9UnOYxCuNwPHtzBPkhOANQyekHF6VV3fjvXGKfqQJEmSgJkH5Fvb5wHAQ7e306o6CThpUvlmBk+gmNz2J8BRUxznHcA7htQvAC4YUh/ahyRJkjRhRgG5qt4CkOQXq+qHW2ovSZIkLVQzeopFkoOT3ADc2NafkOTDszoySZIkaQRm+pi39wPPBr4LUFVfAZ46W4OSJEmSRmXGz0Guqlsmle7dwWORJEmSRm6mP9K7JclTgGqPTvsT2u0WkiRJ0mIy0yvILweOZ/Bq5g3A/sAfz9agJEmSpFGZ6RXkx1bVi/tCkkOAy3b8kCRJkqTRmekV5A/MsCZJkiQtaNNeQU5yMPAUBq+afk236WEM3lInSZIkLSpbusViZ2CX1q5/g973gSNna1CSJEnSqEwbkKvqEuCSJGdU1b/N0ZgkSZKkkZnpj/QelORUYO9+n6p6xmwMSpIkSRqVmQbkvwP+BvgIviBEkiRJi9hMA/LmqjplVkciSZIkzQMzfczbp5P8cZI9kjx84jOrI5MkSZJGYKZXkFe179d3tQJ+ZccOR5IkSRqtGQXkqtpntgciSZIkzQczCshJjhlWr6qzduxwJEmSpNGa6S0Wv9EtPxg4FPgSYECWJEnSojLTWyxe2a8n2RX42KyMSJIkSRqhmT7FYrIfAct35EAkSZKk+WCm9yB/msFTKwB2Ah4HnDdbg5IkSZJGZab3IP91t7wZ+Leq2jAL45EkSZJGaka3WFTVJcDXgIcCuwM/nc1BSZIkSaMyo4Cc5PeBK4GjgN8Hrkhy5GwOTJIkSRqFmd5i8WbgN6rqdoAkS4F/BM6frYFJkiRJozDTp1g8YCIcN9/din0lSZKkBWOmV5A/l2QNcE5bfyFwwewMSZIkSRqdaQNykscAj66q1yf5XeA3gQCXA2fPwfgkjcAlT33aqIew3Z526SWjHoIkaYHa0m0S7wfuBqiqT1bVa6rqTxlcPX7/bA9OkiRJmmtbCsh7V9W1k4tVtQ7Ye1ZGJEmSJI3QlgLyg6fZ9pAdORBJkiRpPthSQL4qyf+YXExyLHD17AxJkiRJGp0tBeRXAy9NcnGS97TPJcDLgFdta6dJdktyfpKvJbkxycFJHp5kbZKb2vfurW2SnJxkfZJrkxzQHWdVa39TklVd/UlJrmv7nJwkrT60D0mSJGnCtAG5qr5TVU8B3gJ8s33eUlUHV9W3t6Pf/w18rqp+DXgCcCNwInBhVS0HLmzrAIcDy9vnOOAUGIRd4CTgycCBwEld4D2ltZ3Yb2WrT9WHJEmSBMzwOchVdRFw0Y7oMMnDgKcCL2nH/inw0yRHAE9vzc4ELgbeCBwBnFVVBXyxXX3eo7VdW1Wb2nHXAiuTXAw8rKoub/WzgBcAn23HGtaHJEmSBIzmbXi/AmwEPprkmiQfSfKLDJ63fBtA+35Ua78ncEu3/4ZWm66+YUidafq4nyTHJVmXZN3GjRu3/UwlaYFzPpQ0jkYRkJcABwCnVNUTgR8y/a0OGVKrbajPWFWdWlUrqmrF0qVLt2ZXSVpUnA8ljaNRBOQNwIaquqKtn88gMH+n3TpB+769a79Xt/8y4NYt1JcNqTNNH5IkSRIwgoDcftx3S5LHttKhwA3AamDiSRSrgE+15dXAMe1pFgcBd7XbI9YAhyXZvf047zBgTdt2d5KD2tMrjpl0rGF9SJIkScAMf6Q3C14JnJ1kZ+Bm4KUMwvp57RnL3wKOam0vAJ4DrAd+1NpSVZuSvA24qrV768QP9oBXAGcweJnJZ9sH4J1T9CFJkiQBIwrIVfVlYMWQTYcOaVvA8VMc53Tg9CH1dcB+Q+rfHdaHJEmSNGEU9yBLkiRJ85YBWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeqMLCAn2SnJNUk+09b3SXJFkpuSfDzJzq3+oLa+vm3fuzvGm1r960me3dVXttr6JCd29aF9SJIkSRNGeQX5VcCN3fq7gPdV1XLgTuDYVj8WuLOqHgO8r7Ujyb7A0cDjgZXAh1vo3gn4EHA4sC/wotZ2uj4kSZIkYEQBOcky4LnAR9p6gGcA57cmZwIvaMtHtHXa9kNb+yOAc6vqnqr6BrAeOLB91lfVzVX1U+Bc4Igt9CFJkiQBo7uC/H7gDcB/tvVHAN+rqs1tfQOwZ1veE7gFoG2/q7W/rz5pn6nq0/VxP0mOS7IuybqNGzdu6zlK0oLnfChpHM15QE7yPOD2qrq6Lw9pWlvYtqPqP1+sOrWqVlTViqVLlw5rIkljwflQ0jhaMoI+DwGen+Q5wIOBhzG4orxbkiXtCu8y4NbWfgOwF7AhyRJgV2BTV5/Q7zOsfsc0fUiSJEnACK4gV9WbqmpZVe3N4Ed2X6iqFwMXAUe2ZquAT7Xl1W2dtv0LVVWtfnR7ysU+wHLgSuAqYHl7YsXOrY/VbZ+p+pAkSZKA+fUc5DcCr0mynsH9wqe1+mnAI1r9NcCJAFV1PXAecAPwOeD4qrq3XR0+AVjD4CkZ57W20/UhSZIkAaO5xeI+VXUxcHFbvpnBEygmt/kJcNQU+78DeMeQ+gXABUPqQ/uQJEmSJsynK8iSJEnSyBmQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6hiQJUmSpM6cB+QkeyW5KMmNSa5P8qpWf3iStUluat+7t3qSnJxkfZJrkxzQHWtVa39TklVd/UlJrmv7nJwk0/UhSZIkTRjFFeTNwGur6nHAQcDxSfYFTgQurKrlwIVtHeBwYHn7HAecAoOwC5wEPBk4EDipC7yntLYT+61s9an6kCRJkoARBOSquq2qvtSW7wZuBPYEjgDObM3OBF7Qlo8AzqqBLwK7JdkDeDawtqo2VdWdwFpgZdv2sKq6vKoKOGvSsYb1IUmSJAEjvgc5yd7AE4ErgEdX1W0wCNHAo1qzPYFbut02tNp09Q1D6kzTx+RxHZdkXZJ1Gzdu3NbTk6QFz/lQ0jgaWUBOsgvwCeDVVfX96ZoOqdU21Gesqk6tqhVVtWLp0qVbs6skLSrOh5LG0UgCcpIHMgjHZ1fVJ1v5O+32CNr37a2+Adir230ZcOsW6suG1KfrQ5IkSQJG8xSLAKcBN1bVe7tNq4GJJ1GsAj7V1Y9pT7M4CLir3R6xBjgsye7tx3mHAWvatruTHNT6OmbSsYb1IUmSJAGwZAR9HgL8IXBdki+32p8B7wTOS3Is8C3gqLbtAuA5wHrgR8BLAapqU5K3AVe1dm+tqk1t+RXAGcBDgM+2D9P0IUmSJAEjCMhV9U8Mv08Y4NAh7Qs4fopjnQ6cPqS+DthvSP27w/qQJEmSJvgmPUmSJKljQJYkSZI6BmRJkiSpY0CWJEmSOgZkSZIkqWNAliRJkjoGZEmSJKljQJYkSZI6BmRJkiSpY0CWJEmSOgZkSZIkqWNAliRJkjoGZEmSJKljQJYkSZI6BmRJkiSps2TUA5AkSQvDIR84ZNRD2G6XvfKyUQ9BC4BXkCVJkqSOAVmSJEnqGJAlSZKkjgFZkiRJ6vgjPUmSpClc8tSnjXoI2+1pl14y6iEsOF5BliRJkjoGZEmSJKnjLRaSBHzwtZ8e9RC22wnv+e1RD0GSFgWvIEuSJEkdA7IkSZLUMSBLkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEkdA7IkSZLUMSBLkiRJnbEMyElWJvl6kvVJThz1eCRJkjR/jN2rppPsBHwIeBawAbgqyeqqumG0I5MkSRq9D77206MewnY74T2/vV37j+MV5AOB9VV1c1X9FDgXOGLEY5IkSdI8kaoa9RjmVJIjgZVV9bK2/ofAk6vqhK7NccBxbfWxwNfnfKADjwTuGFHfo+I5j4dxPGcY3XnfUVUrt2VH58OR8pzHg+c8t2Y0H47dLRZAhtTu938JVXUqcOrcDGdqSdZV1YpRj2Muec7jYRzPGRbmeTsfjo7nPB485/lpHG+x2ADs1a0vA24d0VgkSZI0z4xjQL4KWJ5knyQ7A0cDq0c8JkmSJM0TY3eLRVVtTnICsAbYCTi9qq4f8bCmMvK/1hwBz3k8jOM5w/ie944wjv/sPOfx4DnPQ2P3Iz1JkiRpOuN4i4UkSZI0JQOyJEmS1DEgz0Pj+CrsJKcnuT3JV0c9lrmSZK8kFyW5Mcn1SV416jHNtiQPTnJlkq+0c37LqMc0V5LslOSaJJ8Z9VgWEufD8eB86Hw43xiQ55nuVdiHA/sCL0qy72hHNSfOALbpRQYL2GbgtVX1OOAg4Pgx+Hd9D/CMqnoCsD+wMslBIx7TXHkVcOOoB7GQOB+OFedD58N5xYA8/4zlq7Cr6lJg06jHMZeq6raq+lJbvpvBZLHnaEc1u2rgB231ge2z6H8pnGQZ8FzgI6MeywLjfDgmnA+dD+cbA/L8sydwS7e+gUU+SQiS7A08EbhitCOZfe2v1r4M3A6srapFf87A+4E3AP856oEsMM6HY8j5cNFbEPOhAXn+2eKrsLW4JNkF+ATw6qr6/qjHM9uq6t6q2p/BWywPTLLfqMc0m5I8D7i9qq4e9VgWIOfDMeN86Hw4XxiQ5x9fhT1GkjyQwR8GZ1fVJ0c9nrlUVd8DLmbx32t5CPD8JN9kcIvAM5L87WiHtGA4H44R50Pnw/nEgDz/+CrsMZEkwGnAjVX13lGPZy4kWZpkt7b8EOCZwNdGO6rZVVVvqqplVbU3g/+ev1BVfzDiYS0UzodjwvnQ+XC+MSDPM1W1GZh4FfaNwHnz+FXYO0ySc4DLgccm2ZDk2FGPaQ4cAvwhg/+D/nL7PGfUg5plewAXJbmWQfhZW1Xz9jE/Gi3nQ+fDUQ9qljkfzmO+alqSJEnqeAVZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJClbZDkzUmuT3JtexzRk2exr5cnOaYtvyTJL81WX5K0tZwPtRgtGfUApIUmycHA84ADquqeJI8Edp6lvpZU1d90pZcAX8W3iUmaB5wPtVh5BVnaensAd1TVPQBVdUdV3ZrkSUkuSXJ1kjVJ9kjyuCRXTuyYZO/2UHiGtW/1i5P8ZZJLgFcl+Z9JXpfkSGAFcHa7SvPcJH/fHftZScbq9aySRs75UIuSAVnaep8H9kryL0k+nORpSR4IfAA4sqqeBJwOvKOqbgR2TvIrbd8XAudN1b7rY7eqelpVvWeiUFXnA+uAF1fV/sAFwOOSLG1NXgp8dNbOWpJ+nvOhFiVvsZC2UlX9IMmTgP8O/BbwceDtwH7A2iQ8PD+IAAABWklEQVQAOwG3tV3OA34feCeDPxBeCDx2mva0Y25pHJXkY8AfJPkocDBwzPaenyTNlPOhFisDsrQNqupe4GLg4iTXAccD11fVwUOafxz4u/bXfVVVNyX59WnaA/xwhkP5KPBp4CfA31XV5q05D0naXs6HWoy8xULaSkkem2R5V9ofuBFY2n6wQpIHJnk8QFX9K3Av8Bf87ErI16dqvwV3Aw+dWKmqWxn8QOXPgTO257wkaWs5H2qx8gqytPV2AT6QZDdgM7AeOA44FTg5ya4M/tt6P3B92+fjwLuBfQCq6qftRyZTtZ/KGcDfJPkxcHBV/Rg4G1haVTfsuFOUpBlxPtSilKoa9RgkbYckHwSuqarTRj0WSRol50PtKAZkaQFLcjWD+/OeNfGYJUkaR86H2pEMyJIkSVLHH+lJkiRJHQOyJEmS1DEgS5IkSR0DsiRJktQxIEuSJEmd/w8obfDD7MO5DQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 720x360 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity by Junction \n",
"junc_df = acc_df.groupby(['Junction', 'Severity'])['Counter'].sum().reset_index()\n",
"sns.factorplot(\"Severity\", \"Counter\", col=\"Junction\", data=junc_df, kind=\"bar\")"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7fa82d2f0080>"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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AliRJkjoGZEmSJKljQJYkSZI6BmRJkiSpY0CWJEmSOlMG5CQ7JfnkbAxGkiRJGrUpA3JVPQgsTrLzLIxHkiRJGqlF02z3HeCrSdYAPxorVtUHZmJQkiRJ0qhMNyDf0V6PAp44c8ORJEmSRmtaAbmq3gmQ5PFV9aOp2kuSJEk7qmk9xSLJYUm+Cdzc1p+V5CMzOjJJkiRpBKb7mLcPAkcC3weoqq8Dz5+pQUmSJEmjMu3nIFfV7eNKD25rp0n+LMlNSb6R5Nwkj02yb5Irk9ya5Pyxp2YkeUxb39C279Md5+2tfkuSI7v68lbbkOTErj60D0mSJGnMdAPy7UmeC1SSnZO8hXa7xdZKshfwRmBZVR0A7AQcC7wXOKWqlgL3AMe3XY4H7qmqpwOntHYk2b/t90xgOfCR9szmnYAPA0cB+wOvbG2ZpA9JkiQJmH5Afi1wArAXsBE4EHj9I+h3EbBLkkXA44A7gRcBF7btZwEva8sr2jpt++FJ0urnVdVPq+rbwAbgkPbaUFW3VdUDwHnAirbPRH1IkiRJwPQD8n5V9aqqelpVPbWq/gB4xrZ0WFX/Crwf+C6DYHwvcA3wg6ra0pptZBDGaT9vb/tuae2f0tfH7TNR/SmT9PFzkqxKsj7J+k2bNm3LaUrSvOB8KGkhmm5A/tA0a1NKsjuDq7/7Ar8IPJ7B7RDj1dguE2zbXvWHF6tOr6plVbVs8eLFw5pI0oLgfChpIZr0OchJDgOey+Crpt/cbXoSg3uHt8VvA9+uqk2tj0+3PnZLsqhd4V3C4ItJYHCld29gY7slY1dgc1cf0+8zrH73JH1IkiRJwNRXkHcGnsAgSD+xe/0QOHob+/wucGiSx7X7gg8Hvglc2h1zJfDZtrymrdO2f7mqqtWPbU+52BdYClwFXA0sbU+s2JnBB/nWtH0m6kOSJEkCpriCXFWXA5cnObOq/mV7dFhVVya5ELgW2AJcB5wOfAE4L8lft9oZbZczgE8k2cDgyvGx7Tg3JbmAQbjeApxQVQ8CJHkDsJbBVe7VVXVTO9bbJuhDkiRJAqb5VdPAY5KcDuzT71NVL9qWTqvqJOCkceXbGDyBYnzbnwDHTHCck4GTh9QvAi4aUh/ahyRJkjRmugH5U8BHgY/xCL4gRJIkSZrrphuQt1TVaTM6EkmSJGkOmO5j3j6X5PVJ9kzy5LHXjI5MkiRJGoHpXkEee4rEX3S1An55+w5HkiRJGq1pBeSq2nemByJJkiTNBdMKyEmOG1avqrO373AkSZKk0ZruLRa/3i0/lsGXe1wLGJAlSZI0r0z3Fos/6deT7Ap8YkZGJEmSJI3QdJ9iMd79DL7aWZIkSZpXpnsP8ucYPLUCBl/f/AzggpkalCRJkjQq070H+f3d8hbgX6pq4wyMR9IccPnzXzDqITxiL/jK5aMegiRpBzWtWyyq6nLgW8ATgd2BB2ZyUJIkSdKoTCsgJ/l94CrgGOD3gSuTHD2TA5MkSZJGYbq3WLwD+PWqugsgyWLgfwEXztTAJEmSpFGY7lMsHjUWjpvvb8W+kiRJ0g5juleQL06yFji3rb8CuGhmhiRJkiSNzqQBOcnTgadV1V8k+T3gN4AAXwPOmYXxSZIkSbNqqtskPgjcB1BVn66qN1fVnzG4evzBmR6cJEmSNNumCsj7VNUN44tVtR7YZ0ZGJEmSJI3QVAH5sZNs22V7DkSSJEmaC6YKyFcn+c/ji0mOB66ZmSFJkiRJozPVUyz+FPhMklfx/wPxMmBn4OUzOTBJkiRpFCYNyFX1PeC5SX4LOKCVv1BVX57xkUmSJEkjMK3nIFfVpcClMzwWSZIkaeT8NjxJkiSpY0CWJEmSOgZkSZIkqWNAliRJkjoGZEmSJKkzkoCcZLckFyb5VpKbkxyW5MlJ1iW5tf3cvbVNklOTbEhyQ5KDuuOsbO1vTbKyqx+c5Ma2z6lJ0upD+5AkSZLGjOoK8v8ALq6qXwGeBdwMnAhcUlVLgUvaOsBRwNL2WgWcBoOwC5wEPAc4BDipC7yntbZj+y1v9Yn6kCRJkoARBOQkTwKeD5wBUFUPVNUPgBXAWa3ZWcDL2vIK4OwauALYLcmewJHAuqraXFX3AOuA5W3bk6rqa1VVwNnjjjWsD0mSJAkYzRXkXwY2AR9Pcl2SjyV5PPC0qroToP18amu/F3B7t//GVpusvnFInUn6kCRJkoDRBORFwEHAaVX1bOBHTH6rQ4bUahvq05ZkVZL1SdZv2rRpa3aVpHnF+VDSQjSKgLwR2FhVV7b1CxkE5u+12yNoP+/q2u/d7b8EuGOK+pIhdSbp4+dU1elVtayqli1evHibTlKS5gPnQ0kL0awH5Kr6N+D2JPu10uHAN4E1wNiTKFYCn23La4Dj2tMsDgXubbdHrAWOSLJ7+3DeEcDatu2+JIe2p1ccN+5Yw/qQJEmSgMHtDqPwJ8A5SXYGbgNewyCsX5DkeOC7wDGt7UXAi4ENwP2tLVW1Ocm7gatbu3dV1ea2/DrgTGAX4IvtBfCeCfqQJEmSgBEF5Kq6Hlg2ZNPhQ9oWcMIEx1kNrB5SXw8cMKT+/WF9SJIkSWP8Jj1JkiSpY0CWJEmSOgZkSZIkqWNAliRJkjoGZEmSJKljQJYkSZI6BmRJkiSpY0CWJEmSOgZkSZIkqWNAliRJkjoGZEmSJKljQJYkSZI6BmRJkiSpY0CWJEmSOgZkSZIkqWNAliRJkjoGZEmSJKljQJYkSZI6BmRJkiSpY0CWJEmSOgZkSZIkqWNAliRJkjoGZEmSJKljQJYkSZI6BmRJkiSpY0CWJEmSOgZkSZIkqWNAliRJkjoGZEmSJKljQJYkSZI6IwvISXZKcl2Sz7f1fZNcmeTWJOcn2bnVH9PWN7Tt+3THeHur35LkyK6+vNU2JDmxqw/tQ5IkSRozyivIbwJu7tbfC5xSVUuBe4DjW/144J6qejpwSmtHkv2BY4FnAsuBj7TQvRPwYeAoYH/gla3tZH1IkiRJwIgCcpIlwO8CH2vrAV4EXNianAW8rC2vaOu07Ye39iuA86rqp1X1bWADcEh7baiq26rqAeA8YMUUfUiSJEnA6K4gfxB4K/Cztv4U4AdVtaWtbwT2ast7AbcDtO33tvYP1cftM1F9sj5+TpJVSdYnWb9p06ZtPUdJ2uE5H0paiGY9ICd5CXBXVV3Tl4c0rSm2ba/6w4tVp1fVsqpatnjx4mFNJGlBcD6UtBAtGkGfzwNemuTFwGOBJzG4orxbkkXtCu8S4I7WfiOwN7AxySJgV2BzVx/T7zOsfvckfUiSJEnACK4gV9Xbq2pJVe3D4EN2X66qVwGXAke3ZiuBz7blNW2dtv3LVVWtfmx7ysW+wFLgKuBqYGl7YsXOrY81bZ+J+pAkSZKAufUc5LcBb06ygcH9wme0+hnAU1r9zcCJAFV1E3AB8E3gYuCEqnqwXR1+A7CWwVMyLmhtJ+tDkiRJAkZzi8VDquoy4LK2fBuDJ1CMb/MT4JgJ9j8ZOHlI/SLgoiH1oX1IkiRJY+bSFWRJkiRp5AzIkiRJUseALEmSJHUMyJIkSVLHgCxJkiR1DMiSJElSx4AsSZIkdQzIkiRJUseALEmSJHUMyJIkSVLHgCxJkiR1DMiSJElSx4AsSZIkdQzIkiRJUseALEmSJHUMyJIkSVLHgCxJkiR1DMiSJElSx4AsSZIkdQzIkiRJUseALEmSJHUMyJIkSVLHgCxJkiR1DMiSJElSx4AsSZIkdQzIkiRJUseALEmSJHUMyJIkSVLHgCxJkiR1Zj0gJ9k7yaVJbk5yU5I3tfqTk6xLcmv7uXurJ8mpSTYkuSHJQd2xVrb2tyZZ2dUPTnJj2+fUJJmsD0mSJGnMKK4gbwH+vKqeARwKnJBkf+BE4JKqWgpc0tYBjgKWttcq4DQYhF3gJOA5wCHASV3gPa21HdtveatP1IckSZIEjCAgV9WdVXVtW74PuBnYC1gBnNWanQW8rC2vAM6ugSuA3ZLsCRwJrKuqzVV1D7AOWN62PamqvlZVBZw97ljD+pAkSZKAEd+DnGQf4NnAlcDTqupOGIRo4Kmt2V7A7d1uG1ttsvrGIXUm6WP8uFYlWZ9k/aZNm7b19CRph+d8KGkhGllATvIE4B+AP62qH07WdEittqE+bVV1elUtq6plixcv3ppdJWlecT6UtBCNJCAneTSDcHxOVX26lb/Xbo+g/byr1TcCe3e7LwHumKK+ZEh9sj4kSZIkYDRPsQhwBnBzVX2g27QGGHsSxUrgs139uPY0i0OBe9vtEWuBI5Ls3j6cdwSwtm27L8mhra/jxh1rWB+SJEkSAItG0OfzgFcDNya5vtX+C/Ae4IIkxwPfBY5p2y4CXgxsAO4HXgNQVZuTvBu4urV7V1VtbsuvA84EdgG+2F5M0ockSZIEjCAgV9U/Mfw+YYDDh7Qv4IQJjrUaWD2kvh44YEj9+8P6kCRJksb4TXqSJElSx4AsSZIkdQzIkiRJUseALEmSJHUMyJIkSVLHgCxJkiR1DMiSJElSx4AsSZIkdQzIkiRJUseALEmSJHUMyJIkSVLHgCxJkiR1DMiSJElSx4AsSZIkdQzIkiRJUseALEmSJHUMyJIkSVLHgCxJkiR1DMiSJElSZ9GoByBJc8Hf/fnnRj2ER+wNf/sfRz0ESZoXvIIsSZIkdQzIkiRJUseALEmSJHUMyJIkSVLHgCxJkiR1DMiSJElSx4AsSZIkdQzIkiRJUseALEmSJHUMyJIkSVJnQQbkJMuT3JJkQ5ITRz0eSZIkzR0LLiAn2Qn4MHAUsD/wyiT7j3ZUkiRJmisWXEAGDgE2VNVtVfUAcB6wYsRjkiRJ0hyRqhr1GGZVkqOB5VX1x2391cBzquoNXZtVwKq2uh9wy6wPdGAP4O4R9T0qnvPCsBDPGUZ33ndX1fJt2dH5cKQ854XBc55d05oPF83GSOaYDKn93P8lVNXpwOmzM5yJJVlfVctGPY7Z5DkvDAvxnGHHPG/nw9HxnBcGz3luWoi3WGwE9u7WlwB3jGgskiRJmmMWYkC+GliaZN8kOwPHAmtGPCZJkiTNEQvuFouq2pLkDcBaYCdgdVXdNOJhTWTkb2uOgOe8MCzEc4aFe97bw0L83XnOC4PnPActuA/pSZIkSZNZiLdYSJIkSRMyIEuSJEkdA/IctBC/CjvJ6iR3JfnGqMcyW5LsneTSJDcnuSnJm0Y9ppmW5LFJrkry9XbO7xz1mGZLkp2SXJfk86Mey47E+XBhcD50PpxrDMhzzAL+KuwzgW36IoMd2Bbgz6vqGcChwAkL4L/1T4EXVdWzgAOB5UkOHfGYZsubgJtHPYgdifPhguJ86Hw4pxiQ554F+VXYVfUVYPOoxzGbqurOqrq2Ld/HYLLYa7Sjmlk18O9t9dHtNe8/KZxkCfC7wMdGPZYdjPPhAuF86Hw41xiQ5569gNu79Y3M80lCkGQf4NnAlaMdycxrb61dD9wFrKuqeX/OwAeBtwI/G/VAdjDOhwuQ8+G8t0PMhwbkuWfKr8LW/JLkCcA/AH9aVT8c9XhmWlU9WFUHMvgWy0OSHDDqMc2kJC8B7qqqa0Y9lh2Q8+EC43zofDhXGJDnHr8KewFJ8mgGfwzOqapPj3o8s6mqfgBcxvy/1/J5wEuTfIfBLQIvSvLJ0Q5ph+F8uIA4HzofziUG5LnHr8JeIJIEOAO4uao+MOrxzIYki5Ps1pZ3AX4b+NZoRzWzqurtVbWkqvZh8O/5y1X1ByMe1o7C+XCBcD50PpxrDMhzTFVtAca+Cvtm4II5/FXY202Sc4GvAfsl2Zjk+FGPaRY8D3g1g/+Dvr69XjzqQc2wPYFLk9zAIPysq6o5+5gfjZbzofPhqAc1w5wP5zC/alqSJEnqeAVZkiRJ6hiQJUmSpI4BWZIkSeoYkCVJkqSOAVmSJEnqGJClbZDkHUluSnJDexzRc2awr9cmOa4t/2GSX5ypviRpazkfaj5aNOoBSDuaJIcBLwEOqqqfJtkD2HmG+lpUVR/tSn8IfAO/TUzSHOB8qPnKK8jS1tsTuLuqfgpQVXdX1R1JDk5yeZJrkqxNsmeSZyS5amzHJPu0h8IzrH2rX5bkvye5HHhTkv+W5C1JjgaWAee0qzS/m+RllD+/AAAB2ElEQVQz3bF/J8mC+npWSSPnfKh5yYAsbb0vAXsn+eckH0nygiSPBj4EHF1VBwOrgZOr6mZg5yS/3PZ9BXDBRO27PnarqhdU1d+OFarqQmA98KqqOhC4CHhGksWtyWuAj8/YWUvSwzkfal7yFgtpK1XVvyc5GPhN4LeA84G/Bg4A1iUB2Am4s+1yAfD7wHsY/EF4BbDfJO1px5xqHJXkE8AfJPk4cBhw3CM9P0maLudDzVcGZGkbVNWDwGXAZUluBE4Abqqqw4Y0Px/4VHu7r6rq1iS/Okl7gB9NcygfBz4H/AT4VFVt2ZrzkKRHyvlQ85G3WEhbKcl+SZZ2pQOBm4HF7QMrJHl0kmcCVNX/AR4E/pL/fyXklonaT+E+4IljK1V1B4MPqPxX4MxHcl6StLWcDzVfeQVZ2npPAD6UZDdgC7ABWAWcDpyaZFcG/7Y+CNzU9jkfeB+wL0BVPdA+ZDJR+4mcCXw0yY+Bw6rqx8A5wOKq+ub2O0VJmhbnQ81LqapRj0HSI5Dk74DrquqMUY9FkkbJ+VDbiwFZ2oEluYbB/Xm/M/aYJUlaiJwPtT0ZkCVJkqSOH9KTJEmSOgZkSZIkqWNAliRJkjoGZEmSJKljQJYkSZI6/w+QsaaWnsZBPQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 720x360 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity by Roundabouts \n",
"rndabt_df = acc_df.groupby(['Roundabout', 'Severity'])['Counter'].sum().reset_index()\n",
"sns.factorplot(\"Severity\", \"Counter\", col=\"Roundabout\", data=rndabt_df, kind=\"bar\")"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7fa762e370b8>"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x360 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity by Stop Sign \n",
"stop_df = acc_df.groupby(['Stop', 'Severity'])['Counter'].sum().reset_index()\n",
"sns.factorplot(\"Severity\", \"Counter\", col=\"Stop\", data=stop_df, kind=\"bar\")"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7fa82d2f8978>"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 720x360 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity by Traffic Signal \n",
"stop_df = acc_df.groupby(['Traffic_Signal', 'Severity'])['Counter'].sum().reset_index()\n",
"sns.factorplot(\"Severity\", \"Counter\", col=\"Traffic_Signal\", data=stop_df, kind=\"bar\")"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7fa7fa11d7f0>"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x360 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity by Traffic Signal \n",
"ssnt_df = acc_df[acc_df['Sunrise_Sunset'] != 0].groupby(['Sunrise_Sunset', 'Severity'])['Counter'].sum().reset_index()\n",
"sns.factorplot(\"Severity\", \"Counter\", col=\"Sunrise_Sunset\", data=ssnt_df, kind=\"bar\")"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Civil_Twilight Severity Counter\n",
"0 Day 0 14\n",
"1 Day 1 654\n",
"2 Day 2 1175952\n",
"3 Day 3 539770\n",
"4 Day 4 45000\n",
"5 Night 0 3\n",
"6 Night 1 160\n",
"7 Night 2 279523\n",
"8 Night 3 175802\n",
"9 Night 4 26983\n"
]
},
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7fa832507f60>"
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x360 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Severity by Civil Twilight\n",
"ssnt_df = acc_df[acc_df['Civil_Twilight'] != 0].groupby(['Civil_Twilight', 'Severity'])['Counter'].sum().reset_index()\n",
"print(ssnt_df)\n",
"sns.factorplot(\"Severity\", \"Counter\", col=\"Civil_Twilight\", data=ssnt_df, kind=\"bar\")"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x7fa7fa0a1c50>"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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