{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
" ## UK Road Safety: Traffic Accidents and Vehicles\n",
" \n",
" The goal of this project is the investigate what causes Serious and Fatal accidents in hopes of preventing and decreasing the number of them. The dataset consists of accident records from the UK over the course of 15+ years. I hope to show the causes of these accidents through visualizations and create an algorithm that can predict the severity of accidents. \n",
" \n",
"The UK government collects and publishes (usually on an annual basis) detailed information about traffic accidents across the country. This information includes, but is not limited to, geographical locations, weather conditions, type of vehicles, number of casualties and vehicle manoeuvres, making this a very interesting and comprehensive dataset for analysis and research.\n",
"\n",
"The data that I'm using is compiled and available through [Kaggle](https://www.kaggle.com/tsiaras/uk-road-safety-accidents-and-vehicles) and in a less compliled form, [here](https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000045). "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Genesis L. Taylor<br>\n",
"[Github](https://github.com/GenTaylor/) | [Linkedin](https://linkedin.com/in/genesistaylor/) | [Tableau](https://public.tableau.com/profile/genesis.taylor#!/) | [genesisltaylor@gmail.com](mailto:genesisltaylor@gmail.com)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Problem: Traffic Accidents<br>\n",
"Solution Method: Use data to figure out how to lower the number of accidents and the severity of them."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Table of Contents\n",
"* [Importing and Data Merging](#Importing-and-Data-Merging)<br>\n",
"* [Data Cleaning](#Data-Cleaning)<br>\n",
"* [Nulls and Outliers](#Nulls-and-Outliers)<br>\n",
"* [Feature Manipulation, Creation and Engineering](#Feature-Manipulation-Creation-and-Engineering)<br>\n",
"* [General Visualizations](#General-Visualizations)<br>\n",
" * [Accident Forecasting with Tableau](#Accident-Forecasting-with-Tableau)<br>\n",
"* [Correlations](#Correlations)<br>\n",
" * [Chi-Squared Test](#Chi-Squared-Test)\n",
"* [Visualizations In Relation to Accident Seriousness](#Visualizations-In-Relation-to-Accident-Seriousness)<br>\n",
" * [Visualization Summary](#Visualization-Summary)\n",
"* [Other Visualizations](#Other-Visualizations)<br>\n",
" * [Other Visualizations Summary](#Other-Visualizations-Summary)<br>\n",
"* [Solution](#Solution)<br>\n",
" * [Web Scraping](#Web-Scraping)<br>\n",
" * [Mapping of Problem Areas](#Mapping-of-Problem-Areas)<br>\n",
"* [Machine Learning](#Machine-Learning)<br>\n",
" * [Preprocessing](#Preprocessing)<br>\n",
" * [Imbalanced Data](#Imbalanced-Data)<br>\n",
" * [Resample: Undersampling](#Resample:-Undersampling)<br>\n",
" * [Unsupervised Learning](#Unsupervised-Learning)<br>\n",
" * [Supervised Learning with Resampling as Undersampling](#Supervised-Learning-with-Resampling-as-Undersampling)<br>\n",
" * [Supervised Learning Results](#Supervised-Learning-Results)<br>\n",
" \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Links to Other Notebooks And Presentation\n",
"__[UK Road Safety: Traffic Accidents and Vehicles Introduction, Data Cleaning, and Feature Manipulation](UK_Road_Safety_Traffic_Accidents_and_Vehicles_Data_Cleaning_and_Feature_Manipulation.ipynb)__<br>\n",
"__[UK Road Safety: Traffic Accidents and Vehicles Introduction, Data Cleaning, and Feature Manipulation: Github Link](https://github.com/GenTaylor/Traffic-Accident-Analysis/blob/master/UK_Road_Safety_Traffic_Accidents_and_Vehicles_Data_Cleaning_and_Feature_Manipulation.ipynb)__<br>\n",
"<br>\n",
"\n",
"__[UK Road Safety: Traffic Accidents and Vehicles Visualizations and Solution](UK_Road_Safety_Traffic_Accidents_and_Vehicles_Visualizations_and_Solution.ipynb)__<br>\n",
"__[UK Road Safety: Traffic Accidents and Vehicles Visualizations and Solution: Github Link](https://github.com/GenTaylor/Traffic-Accident-Analysis/blob/master/UK_Road_Safety_Traffic_Accidents_and_Vehicles_Visualizations_and_Solution.ipynb)__<br>\n",
"<br>\n",
"__[UK Road Safety: Traffic Accidents and Vehicles Machine Learning](UK_Road_Safety_Traffic_Accidents_and_Vehicles_Machine_Learning.ipynb)__<br>\n",
"__[UK Road Safety: Traffic Accidents and Vehicles Machine Learning: Github Link](https://github.com/GenTaylor/Traffic-Accident-Analysis/blob/master/UK_Road_Safety_Traffic_Accidents_and_Vehicles_Machine_Learning.ipynb)__<br>\n",
"<br>\n",
"__[Traffic Analysis and Severity Prediction Powerpoint Presentation](\"Traffic_Analysis_and_Severity_Prediction.pptx\")__<br>\n",
"__[Traffic Analysis and Severity Prediction Powerpoint Presentation: Github Link](https://github.com/GenTaylor/Traffic-Accident-Analysis/blob/master/Traffic_Analysis_and_Severity_Prediction.pptx)__<br>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Importing and Data Merging"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"//anaconda3/lib/python3.7/site-packages/lightgbm/__init__.py:46: UserWarning: Starting from version 2.2.1, the library file in distribution wheels for macOS is built by the Apple Clang (Xcode_8.3.3) compiler.\n",
"This means that in case of installing LightGBM from PyPI via the ``pip install lightgbm`` command, you don't need to install the gcc compiler anymore.\n",
"Instead of that, you need to install the OpenMP library, which is required for running LightGBM on the system with the Apple Clang compiler.\n",
"You can install the OpenMP library by the following command: ``brew install libomp``.\n",
" \"You can install the OpenMP library by the following command: ``brew install libomp``.\", UserWarning)\n",
"Using TensorFlow backend.\n"
]
}
],
"source": [
"#Import modules\n",
"import numpy as np\n",
"import holidays\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import pickle\n",
"import time\n",
"import timeit\n",
"\n",
"\n",
"import matplotlib.pyplot as plt\n",
"plt.style.use('dark_background')\n",
"%matplotlib inline\n",
"\n",
"import datetime\n",
"import math\n",
"from collections import Counter\n",
"\n",
"#scipy\n",
"import scipy.stats as stats\n",
"from scipy import stats\n",
"from scipy.stats import chi2_contingency\n",
"\n",
"#sklearn\n",
"import sklearn\n",
"from sklearn import ensemble\n",
"from sklearn import preprocessing\n",
"from sklearn.decomposition import PCA\n",
"from sklearn.ensemble import AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier\n",
"from sklearn.ensemble import RandomForestClassifier\n",
"from sklearn.feature_selection import SelectFromModel\n",
"from sklearn.impute import SimpleImputer\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.metrics import accuracy_score, f1_score, precision_score, log_loss, recall_score \n",
"from sklearn.metrics import classification_report, confusion_matrix, roc_auc_score\n",
"from sklearn.model_selection import cross_val_score, GridSearchCV, train_test_split\n",
"from sklearn.preprocessing import LabelEncoder, OneHotEncoder, StandardScaler, OrdinalEncoder\n",
"from sklearn.svm import SVC\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn.utils import resample\n",
"\n",
"#for clustering\n",
"from sklearn.cluster import KMeans\n",
"from sklearn.preprocessing import normalize\n",
"from sklearn.decomposition import PCA\n",
"from sklearn.cluster import MiniBatchKMeans\n",
"from sklearn.metrics import silhouette_score\n",
"\n",
"#other learners\n",
"from xgboost import XGBClassifier\n",
"from lightgbm import LGBMClassifier\n",
"from kmodes.kmodes import KModes\n",
"\n",
"#imblearn\n",
"from imblearn.ensemble import BalancedBaggingClassifier\n",
"from imblearn.ensemble import EasyEnsembleClassifier\n",
"from imblearn.ensemble import BalancedRandomForestClassifier\n",
"\n",
"#webscraping\n",
"import requests\n",
"from bs4 import BeautifulSoup\n",
"import re\n",
"import urllib\n",
"from IPython.core.display import HTML\n",
"\n",
"#time series\n",
"import statsmodels.api as sm\n",
"from pylab import rcParams\n",
"import itertools\n",
"from statsmodels.tsa.stattools import adfuller\n",
"from statsmodels.tsa.stattools import acf, pacf\n",
"from statsmodels.tsa.seasonal import seasonal_decompose\n",
"from statsmodels.tsa.arima_model import ARIMA\n",
"\n",
"\n",
"#warning ignorer\n",
"import warnings\n",
"warnings.filterwarnings(\"ignore\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# # #DATAFRAME PICKLE CREATED IN CELLS BELOW INSTEAD OF RUNNING THROUGH ENTIRE PROCESS AFTER RESTARTING\n",
"# # #import pickled file\n",
"df = pd.read_pickle(\"df.pkl\")\n",
"# df.to_csv('uktraffic_acc.csv') "
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"#import files\n",
"\n",
"ac = pd.read_csv(r'Accident_Information.csv', low_memory=False, chunksize=30000)\n",
"vc = pd.read_csv(r'Vehicle_Information.csv', low_memory=False, chunksize=30000)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Previously, I did not remove \"Data missing or out of range\" from the datasets however through cleaning and checking the value counts I decided to do so for sanity purposes only. Most of the percentages that had this as a value were not a high percentage either. "
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"#chunk cleaning and dataframing for accident column\n",
"acchunk = []\n",
"for chunk in ac:\n",
" acchunk_filter = chunk[\n",
" (chunk.Year.astype(int) >= 2010) &\n",
" (chunk.Year.astype(int) <= 2017) &\n",
" (chunk['Road_Type'] != \"Unknown\") &\n",
" (chunk['Junction_Control'] != \"Data missing or out of range\") &\n",
" (chunk['Carriageway_Hazards'] != \"Data missing or out of range\") &\n",
" (chunk['Junction_Detail'] != \"Data missing or out of range\") &\n",
" (chunk['Road_Surface_Conditions'] != \"Data missing or out of range\") &\n",
" (chunk['Special_Conditions_at_Site'] != \"Data missing or out of range\") &\n",
" (chunk['Weather_Conditions'] != \"Data missing or out of range\") &\n",
" (chunk['Latitude'].notnull()) &\n",
" (chunk['Longitude'].notnull())\n",
" ]\n",
" acchunk.append(acchunk_filter)\n",
"df1 = pd.concat(acchunk)\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"#chunk cleaning for vehicles column\n",
"vcchunk = []\n",
"for chunk2 in vc:\n",
" vcchunk_filter = chunk2[\n",
" (chunk2.Year.astype(int) >= 2010)&\n",
" (chunk2.Year.astype(int) <= 2017) &\n",
" (chunk2['Driver_Home_Area_Type'] != \"Data missing or out of range\") &\n",
" (chunk2['Journey_Purpose_of_Driver'] != \"Data missing or out of range\") &\n",
" (chunk2['Junction_Location'] != \"Data missing or out of range\") &\n",
" (chunk2['Was_Vehicle_Left_Hand_Drive'] != \"Data missing or out of range\") &\n",
" (chunk2['Hit_Object_in_Carriageway'] != \"Data missing or out of range\") &\n",
" (chunk2['Skidding_and_Overturning'] != \"Data missing or out of range\") &\n",
" (chunk2['Towing_and_Articulation'] != \"Data missing or out of range\") &\n",
" (chunk2['Vehicle_Leaving_Carriageway'] != \"Data missing or out of range\") &\n",
" (chunk2['Vehicle_Manoeuvre'] != \"Data missing or out of range\") &\n",
" (chunk2['Vehicle_Type'] != \"Data missing or out of range\") &\n",
" (chunk2['X1st_Point_of_Impact'] != \"Data missing or out of range\") &\n",
" (chunk2['Sex_of_Driver'] != \"Data missing or out of range\") &\n",
" (chunk2['Age_Band_of_Driver'] != \"Data missing or out of range\")\n",
" \n",
" ]\n",
" vcchunk.append(vcchunk_filter)\n",
"df2 = pd.concat(vcchunk)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accident's Columns:\n",
" Index(['Accident_Index', '1st_Road_Class', '1st_Road_Number', '2nd_Road_Class',\n",
" '2nd_Road_Number', 'Accident_Severity', 'Carriageway_Hazards', 'Date',\n",
" 'Day_of_Week', 'Did_Police_Officer_Attend_Scene_of_Accident',\n",
" 'Junction_Control', 'Junction_Detail', 'Latitude', 'Light_Conditions',\n",
" 'Local_Authority_(District)', 'Local_Authority_(Highway)',\n",
" 'Location_Easting_OSGR', 'Location_Northing_OSGR', 'Longitude',\n",
" 'LSOA_of_Accident_Location', 'Number_of_Casualties',\n",
" 'Number_of_Vehicles', 'Pedestrian_Crossing-Human_Control',\n",
" 'Pedestrian_Crossing-Physical_Facilities', 'Police_Force',\n",
" 'Road_Surface_Conditions', 'Road_Type', 'Special_Conditions_at_Site',\n",
" 'Speed_limit', 'Time', 'Urban_or_Rural_Area', 'Weather_Conditions',\n",
" 'Year', 'InScotland'],\n",
" dtype='object') \n",
"\n",
"Vehicle's Columns:\n",
" Index(['Accident_Index', 'Age_Band_of_Driver', 'Age_of_Vehicle',\n",
" 'Driver_Home_Area_Type', 'Driver_IMD_Decile', 'Engine_Capacity_.CC.',\n",
" 'Hit_Object_in_Carriageway', 'Hit_Object_off_Carriageway',\n",
" 'Journey_Purpose_of_Driver', 'Junction_Location', 'make', 'model',\n",
" 'Propulsion_Code', 'Sex_of_Driver', 'Skidding_and_Overturning',\n",
" 'Towing_and_Articulation', 'Vehicle_Leaving_Carriageway',\n",
" 'Vehicle_Location.Restricted_Lane', 'Vehicle_Manoeuvre',\n",
" 'Vehicle_Reference', 'Vehicle_Type', 'Was_Vehicle_Left_Hand_Drive',\n",
" 'X1st_Point_of_Impact', 'Year'],\n",
" dtype='object')\n"
]
}
],
"source": [
"#check columns\n",
"print(\"Accident's Columns:\\n\",df1.columns, \"\\n\")\n",
"\n",
"print(\"Vehicle's Columns:\\n\",df2.columns)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Accident Shape (691195, 34)\n",
"Vehicle Shape (1167198, 24)\n"
]
}
],
"source": [
"print('Accident Shape', df1.shape)\n",
"print('Vehicle Shape',df2.shape)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"#merge dataframes\n",
"df = pd.merge(df1,df2)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Names of Combined Columns:\n",
" Index(['Accident_Index', '1st_Road_Class', '1st_Road_Number', '2nd_Road_Class',\n",
" '2nd_Road_Number', 'Accident_Severity', 'Carriageway_Hazards', 'Date',\n",
" 'Day_of_Week', 'Did_Police_Officer_Attend_Scene_of_Accident',\n",
" 'Junction_Control', 'Junction_Detail', 'Latitude', 'Light_Conditions',\n",
" 'Local_Authority_(District)', 'Local_Authority_(Highway)',\n",
" 'Location_Easting_OSGR', 'Location_Northing_OSGR', 'Longitude',\n",
" 'LSOA_of_Accident_Location', 'Number_of_Casualties',\n",
" 'Number_of_Vehicles', 'Pedestrian_Crossing-Human_Control',\n",
" 'Pedestrian_Crossing-Physical_Facilities', 'Police_Force',\n",
" 'Road_Surface_Conditions', 'Road_Type', 'Special_Conditions_at_Site',\n",
" 'Speed_limit', 'Time', 'Urban_or_Rural_Area', 'Weather_Conditions',\n",
" 'Year', 'InScotland', 'Age_Band_of_Driver', 'Age_of_Vehicle',\n",
" 'Driver_Home_Area_Type', 'Driver_IMD_Decile', 'Engine_Capacity_.CC.',\n",
" 'Hit_Object_in_Carriageway', 'Hit_Object_off_Carriageway',\n",
" 'Journey_Purpose_of_Driver', 'Junction_Location', 'make', 'model',\n",
" 'Propulsion_Code', 'Sex_of_Driver', 'Skidding_and_Overturning',\n",
" 'Towing_and_Articulation', 'Vehicle_Leaving_Carriageway',\n",
" 'Vehicle_Location.Restricted_Lane', 'Vehicle_Manoeuvre',\n",
" 'Vehicle_Reference', 'Vehicle_Type', 'Was_Vehicle_Left_Hand_Drive',\n",
" 'X1st_Point_of_Impact'],\n",
" dtype='object') \n",
"\n",
"\n",
"Shape:\n",
" (720280, 56)\n"
]
}
],
"source": [
"#check columns\n",
"print(\"Names of Combined Columns:\\n\",df.columns, \"\\n\")\n",
"print(\"\\nShape:\\n\",df.shape)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
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" <th>1st_Road_Number</th>\n",
" <th>2nd_Road_Class</th>\n",
" <th>2nd_Road_Number</th>\n",
" <th>Accident_Severity</th>\n",
" <th>Carriageway_Hazards</th>\n",
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" <th>...</th>\n",
" <th>Sex_of_Driver</th>\n",
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" <th>Towing_and_Articulation</th>\n",
" <th>Vehicle_Leaving_Carriageway</th>\n",
" <th>Vehicle_Location.Restricted_Lane</th>\n",
" <th>Vehicle_Manoeuvre</th>\n",
" <th>Vehicle_Reference</th>\n",
" <th>Vehicle_Type</th>\n",
" <th>Was_Vehicle_Left_Hand_Drive</th>\n",
" <th>X1st_Point_of_Impact</th>\n",
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" <tr>\n",
" <th>unique</th>\n",
" <td>488010</td>\n",
" <td>6</td>\n",
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" <td>NaN</td>\n",
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" <td>7</td>\n",
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" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>20</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>top</th>\n",
" <td>2016140142191</td>\n",
" <td>A</td>\n",
" <td>NaN</td>\n",
" <td>Unclassified</td>\n",
" <td>NaN</td>\n",
" <td>Slight</td>\n",
" <td>None</td>\n",
" <td>2015-05-13</td>\n",
" <td>Friday</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>Male</td>\n",
" <td>None</td>\n",
" <td>No tow/articulation</td>\n",
" <td>Did not leave carriageway</td>\n",
" <td>NaN</td>\n",
" <td>Going ahead other</td>\n",
" <td>NaN</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Front</td>\n",
" </tr>\n",
" <tr>\n",
" <th>freq</th>\n",
" <td>15</td>\n",
" <td>365390</td>\n",
" <td>NaN</td>\n",
" <td>473098</td>\n",
" <td>NaN</td>\n",
" <td>626656</td>\n",
" <td>714068</td>\n",
" <td>515</td>\n",
" <td>119324</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
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" <td>659742</td>\n",
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" <th>mean</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1051.470728</td>\n",
" <td>NaN</td>\n",
" <td>607.761499</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
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" <td>0.086026</td>\n",
" <td>NaN</td>\n",
" <td>1.506420</td>\n",
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" <td>NaN</td>\n",
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" <tr>\n",
" <th>std</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1825.784600</td>\n",
" <td>NaN</td>\n",
" <td>1593.978070</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.357791</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.784117</td>\n",
" <td>NaN</td>\n",
" <td>0.644346</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>191.000000</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>900.000000</td>\n",
" <td>NaN</td>\n",
" <td>173.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>2.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>9999.000000</td>\n",
" <td>NaN</td>\n",
" <td>9999.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3.000000</td>\n",
" <td>...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>9.000000</td>\n",
" <td>NaN</td>\n",
" <td>91.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>11 rows × 56 columns</p>\n",
"</div>"
],
"text/plain": [
" Accident_Index 1st_Road_Class 1st_Road_Number 2nd_Road_Class \\\n",
"count 720280 720280 720280.000000 699431 \n",
"unique 488010 6 NaN 6 \n",
"top 2016140142191 A NaN Unclassified \n",
"freq 15 365390 NaN 473098 \n",
"mean NaN NaN 1051.470728 NaN \n",
"std NaN NaN 1825.784600 NaN \n",
"min NaN NaN 0.000000 NaN \n",
"25% NaN NaN 0.000000 NaN \n",
"50% NaN NaN 191.000000 NaN \n",
"75% NaN NaN 900.000000 NaN \n",
"max NaN NaN 9999.000000 NaN \n",
"\n",
" 2nd_Road_Number Accident_Severity Carriageway_Hazards Date \\\n",
"count 710979.000000 720280 720280 720280 \n",
"unique NaN 3 6 2557 \n",
"top NaN Slight None 2015-05-13 \n",
"freq NaN 626656 714068 515 \n",
"mean 607.761499 NaN NaN NaN \n",
"std 1593.978070 NaN NaN NaN \n",
"min 0.000000 NaN NaN NaN \n",
"25% 0.000000 NaN NaN NaN \n",
"50% 0.000000 NaN NaN NaN \n",
"75% 173.000000 NaN NaN NaN \n",
"max 9999.000000 NaN NaN NaN \n",
"\n",
" Day_of_Week Did_Police_Officer_Attend_Scene_of_Accident ... \\\n",
"count 720280 720279.000000 ... \n",
"unique 7 NaN ... \n",
"top Friday NaN ... \n",
"freq 119324 NaN ... \n",
"mean NaN 1.147353 ... \n",
"std NaN 0.357791 ... \n",
"min NaN 1.000000 ... \n",
"25% NaN 1.000000 ... \n",
"50% NaN 1.000000 ... \n",
"75% NaN 1.000000 ... \n",
"max NaN 3.000000 ... \n",
"\n",
" Sex_of_Driver Skidding_and_Overturning Towing_and_Articulation \\\n",
"count 720280 720280 720280 \n",
"unique 3 6 6 \n",
"top Male None No tow/articulation \n",
"freq 484205 659742 713570 \n",
"mean NaN NaN NaN \n",
"std NaN NaN NaN \n",
"min NaN NaN NaN \n",
"25% NaN NaN NaN \n",
"50% NaN NaN NaN \n",
"75% NaN NaN NaN \n",
"max NaN NaN NaN \n",
"\n",
" Vehicle_Leaving_Carriageway Vehicle_Location.Restricted_Lane \\\n",
"count 720280 720269.000000 \n",
"unique 9 NaN \n",
"top Did not leave carriageway NaN \n",
"freq 663463 NaN \n",
"mean NaN 0.086026 \n",
"std NaN 0.784117 \n",
"min NaN 0.000000 \n",
"25% NaN 0.000000 \n",
"50% NaN 0.000000 \n",
"75% NaN 0.000000 \n",
"max NaN 9.000000 \n",
"\n",
" Vehicle_Manoeuvre Vehicle_Reference Vehicle_Type \\\n",
"count 720280 720280.000000 720280 \n",
"unique 18 NaN 20 \n",
"top Going ahead other NaN Car \n",
"freq 314008 NaN 534189 \n",
"mean NaN 1.506420 NaN \n",
"std NaN 0.644346 NaN \n",
"min NaN 1.000000 NaN \n",
"25% NaN 1.000000 NaN \n",
"50% NaN 1.000000 NaN \n",
"75% NaN 2.000000 NaN \n",
"max NaN 91.000000 NaN \n",
"\n",
" Was_Vehicle_Left_Hand_Drive X1st_Point_of_Impact \n",
"count 720280 720280 \n",
"unique 2 5 \n",
"top No Front \n",
"freq 719140 354438 \n",
"mean NaN NaN \n",
"std NaN NaN \n",
"min NaN NaN \n",
"25% NaN NaN \n",
"50% NaN NaN \n",
"75% NaN NaN \n",
"max NaN NaN \n",
"\n",
"[11 rows x 56 columns]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.describe(include ='all')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Data Cleaning"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.999425701544617\n",
"0.9999733124707393\n"
]
}
],
"source": [
"#check corr b/t Location_Easting_OSGR & Location_Northing_OSGR AND Longitude and Latitude\n",
"\n",
"print(df['Location_Easting_OSGR'].corr(df['Longitude']))\n",
"\n",
"\n",
"print(df['Location_Northing_OSGR'].corr(df['Latitude']))"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"#drop Location_Easting_OSGR & Location_Northing_OSGR\n",
"#because they are the similar to Latitude and Longitude \n",
"\n",
"df = df.drop(['Location_Easting_OSGR', 'Location_Northing_OSGR'], axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(720280, 54)"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"#standardize all column names to lowercase, and remove some characters \n",
"#for ease of use in querying\n",
"df.columns = map(str.lower, df.columns)\n",
"df.columns = df.columns.str.replace('.','')\n",
"df.columns = df.columns.str.replace('(','')\n",
"df.columns = df.columns.str.replace(')','')"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"#convert date/time to datetime datatype\n",
"\n",
"df['date'] = pd.to_datetime((df['date']), format= \"%Y-%m-%d\")\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"#df.dtypes"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"#mistyped datatypes\n",
"\n",
"df[['did_police_officer_attend_scene_of_accident',\n",
" 'driver_imd_decile','vehicle_reference',\n",
" 'vehicle_locationrestricted_lane','1st_road_number',\n",
" '2nd_road_number','driver_imd_decile',\n",
" 'pedestrian_crossing-physical_facilities',\n",
" 'pedestrian_crossing-human_control']]= df[['did_police_officer_attend_scene_of_accident',\n",
" 'driver_imd_decile','vehicle_reference',\n",
" 'vehicle_locationrestricted_lane','1st_road_number',\n",
" '2nd_road_number','driver_imd_decile',\n",
" 'pedestrian_crossing-physical_facilities',\n",
" 'pedestrian_crossing-human_control']].astype('object')\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{dtype('<M8[ns]'): Index(['date'], dtype='object'),\n",
" dtype('int64'): Index(['number_of_casualties', 'number_of_vehicles', 'year'], dtype='object'),\n",
" dtype('float64'): Index(['latitude', 'longitude', 'speed_limit', 'age_of_vehicle',\n",
" 'engine_capacity_cc'],\n",
" dtype='object'),\n",
" dtype('O'): Index(['accident_index', '1st_road_class', '1st_road_number', '2nd_road_class',\n",
" '2nd_road_number', 'accident_severity', 'carriageway_hazards',\n",
" 'day_of_week', 'did_police_officer_attend_scene_of_accident',\n",
" 'junction_control', 'junction_detail', 'light_conditions',\n",
" 'local_authority_district', 'local_authority_highway',\n",
" 'lsoa_of_accident_location', 'pedestrian_crossing-human_control',\n",
" 'pedestrian_crossing-physical_facilities', 'police_force',\n",
" 'road_surface_conditions', 'road_type', 'special_conditions_at_site',\n",
" 'time', 'urban_or_rural_area', 'weather_conditions', 'inscotland',\n",
" 'age_band_of_driver', 'driver_home_area_type', 'driver_imd_decile',\n",
" 'hit_object_in_carriageway', 'hit_object_off_carriageway',\n",
" 'journey_purpose_of_driver', 'junction_location', 'make', 'model',\n",
" 'propulsion_code', 'sex_of_driver', 'skidding_and_overturning',\n",
" 'towing_and_articulation', 'vehicle_leaving_carriageway',\n",
" 'vehicle_locationrestricted_lane', 'vehicle_manoeuvre',\n",
" 'vehicle_reference', 'vehicle_type', 'was_vehicle_left_hand_drive',\n",
" 'x1st_point_of_impact'],\n",
" dtype='object')}"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.columns.to_series().groupby(df.dtypes).groups"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Nulls and Outliers"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"driver_imd_decile 25.118565\n",
"age_of_vehicle 15.287805\n",
"model 11.636447\n",
"engine_capacity_cc 11.283251\n",
"propulsion_code 10.899928\n",
"make 5.846476\n",
"lsoa_of_accident_location 5.674738\n",
"2nd_road_class 2.894569\n",
"2nd_road_number 1.291303\n",
"pedestrian_crossing-physical_facilities 0.006109\n",
"pedestrian_crossing-human_control 0.005276\n",
"time 0.004582\n",
"speed_limit 0.001805\n",
"vehicle_locationrestricted_lane 0.001527\n",
"did_police_officer_attend_scene_of_accident 0.000139\n",
"day_of_week 0.000000\n",
"1st_road_class 0.000000\n",
"number_of_vehicles 0.000000\n",
"number_of_casualties 0.000000\n",
"1st_road_number 0.000000\n",
"longitude 0.000000\n",
"local_authority_highway 0.000000\n",
"local_authority_district 0.000000\n",
"light_conditions 0.000000\n",
"accident_severity 0.000000\n",
"latitude 0.000000\n",
"carriageway_hazards 0.000000\n",
"date 0.000000\n",
"junction_detail 0.000000\n",
"police_force 0.000000\n",
"junction_control 0.000000\n",
"x1st_point_of_impact 0.000000\n",
"road_surface_conditions 0.000000\n",
"road_type 0.000000\n",
"vehicle_type 0.000000\n",
"vehicle_reference 0.000000\n",
"vehicle_manoeuvre 0.000000\n",
"vehicle_leaving_carriageway 0.000000\n",
"towing_and_articulation 0.000000\n",
"skidding_and_overturning 0.000000\n",
"sex_of_driver 0.000000\n",
"junction_location 0.000000\n",
"journey_purpose_of_driver 0.000000\n",
"hit_object_off_carriageway 0.000000\n",
"hit_object_in_carriageway 0.000000\n",
"driver_home_area_type 0.000000\n",
"age_band_of_driver 0.000000\n",
"inscotland 0.000000\n",
"year 0.000000\n",
"weather_conditions 0.000000\n",
"urban_or_rural_area 0.000000\n",
"was_vehicle_left_hand_drive 0.000000\n",
"special_conditions_at_site 0.000000\n",
"accident_index 0.000000\n",
"dtype: float64"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.isnull().sum().sort_values(ascending=False)/df.shape[0]*100"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### 2nd_road_class"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Unclassified 65.682512\n",
"A 15.892292\n",
"C 7.591909\n",
"B 6.494558\n",
"Motorway 1.301716\n",
"A(M) 0.142445\n",
"Name: 2nd_road_class, dtype: float64"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# #2nd_road_class\n",
"df['2nd_road_class'].value_counts()/df.shape[0]*100"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"With 40% of non null being unclassified and 39% of the overall 2nd_road_class column being null, I have decided to drop it in it's entirely. "
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"df = df.drop(['2nd_road_class'], axis=1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### driver_imd_decile"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2.0 8.366469\n",
"3.0 8.281640\n",
"4.0 7.986339\n",
"1.0 7.888321\n",
"5.0 7.717554\n",
"6.0 7.530683\n",
"7.0 7.195674\n",
"8.0 6.948270\n",
"9.0 6.803049\n",
"10.0 6.163436\n",
"Name: driver_imd_decile, dtype: float64"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#driver_imd_decile\n",
"df['driver_imd_decile'].value_counts()/df.shape[0]*100"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Since the distribution of categories for 'driver_imd_decile seem very similar, I've decided not to use the mode but \"method='ffill'\""
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"df['driver_imd_decile'].fillna(method='ffill', inplace=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### age_of_vehicle"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 610165.000000\n",
"mean 7.567473\n",
"std 4.751567\n",
"min 1.000000\n",
"25% 4.000000\n",
"50% 7.000000\n",
"75% 11.000000\n",
"max 105.000000\n",
"Name: age_of_vehicle, dtype: float64"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['age_of_vehicle'].describe()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"7.0"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['age_of_vehicle'].median()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Changing the nulls of \"age of vehicle\" to median, then creating it as a category"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"#fillna by 7 \n",
"df['age_of_vehicle'].fillna(7, inplace=True)\n",
"\n",
"#group age_of_vehicle\n",
"#1=0-3, 2=3-5, 3=5-8, 4=8-11, 5=\n",
"def fixedvehicleage(age):\n",
" if age>=0 and age<=120:\n",
" return age\n",
" else:\n",
" return np.nan\n",
"\n",
"df['age_of_vehicle'] = df['age_of_vehicle'].apply(fixedvehicleage)\n",
"\n",
"\n",
"df['age_of_vehicle'] = pd.cut(df['age_of_vehicle'], \n",
" [0,2,5,8,11,14,17,120], labels=['1', '2', '3','4','5','6','7'])\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Model"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"MISSING 0.743183\n",
"KA 0.336675\n",
"CLIO DYNAMIQUE 16V 0.279058\n",
"FIESTA ZETEC 0.247681\n",
"SPRINTER 313 CDI 0.236158\n",
"206 LX 0.220331\n",
"PUNTO ACTIVE 0.212279\n",
"CLIO EXPRESSION 16V 0.199783\n",
"YBR 125 0.194785\n",
"FIESTA FINESSE 0.177570\n",
"MINI COOPER 0.175904\n",
"KA COLLECTION 0.174793\n",
"CORSA CLUB 12V 0.160910\n",
"MICRA S 0.160493\n",
"FIESTA ZETEC CLIMATE 0.158827\n",
"CORSA CLUB 16V 0.158272\n",
"PUNTO ACTIVE 8V 0.141889\n",
"MINI ONE 0.141334\n",
"KA STYLE 0.140640\n",
"FIESTA STYLE 0.140223\n",
"FIESTA LX 0.140084\n",
"FOCUS ZETEC TDCI 0.139113\n",
"107 URBAN 0.137308\n",
"CORSA SXI 0.137308\n",
"FOCUS ZETEC 100 0.136614\n",
"ASTRA CLUB 8V 0.136058\n",
"SPRINTER 311 CDI LWB 0.133837\n",
"ZAFIRA EXCLUSIV 0.132032\n",
"FOCUS ZETEC 0.125784\n",
"206 LOOK 0.124535\n",
" ... \n",
"325 TDS SE TOURING AUTO 0.000139\n",
"COMBO 2300 L2H1 CDTI SPORTIVE 0.000139\n",
"6 KUMANO D 0.000139\n",
"V70 T S AUTO 0.000139\n",
"THUNDERBIRD LT 0.000139\n",
"420D GRAN COUPE SPORT AUTO 0.000139\n",
"ZR + 120 0.000139\n",
"407 ST HDI 0.000139\n",
"T-SPORTER T30 180 TDI LWB 0.000139\n",
"A5 S LINE BLACK EDT TFSI QU 0.000139\n",
"ZAFIRA SRI CDTI 8V A 0.000139\n",
"C3 RHYTHM HDI 16V 0.000139\n",
"C230 K SPORT EDITION 0.000139\n",
"C50LA-E 0.000139\n",
"208 ACTIVE S-A 0.000139\n",
"C200 AMG LINE PREMIUM + AUTO 0.000139\n",
"ORION LX 0.000139\n",
"3.5 LITRE 0.000139\n",
"CLIO EXPRESSION + 16V QS5 0.000139\n",
"TRANSPORTER SD SWB 0.000139\n",
"CORSARO 1200 VELOCE 0.000139\n",
"CLK 200 KOMP. AVANTGARDE 0.000139\n",
"BORA S TDI AUTO 0.000139\n",
"GTV V6 LUSSO 24V 0.000139\n",
"A4 SLINE SPEC ED TDI QUAT 0.000139\n",
"A5 S LINE SPECIAL ED TFSI C 0.000139\n",
"306 D 0.000139\n",
"ESPACE EXECUTIVE TD 0.000139\n",
"PRELUDE 4WS AUTO 0.000139\n",
"SCENIC XMOD D-QUE TT NRG DC 0.000139\n",
"Name: model, Length: 28664, dtype: float64"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#model\n",
"df['model'].value_counts()/df.shape[0]*100"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 636465\n",
"unique 28664\n",
"top MISSING\n",
"freq 5353\n",
"Name: model, dtype: object"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['model'].describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Knowing that there are 28824 unique models for the model column I have decided to use the ffill method on it as well. "
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"df['model'].fillna(method='ffill', inplace=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note: A lot of the values of \"model' are labeled as \"missing\". I do not want to change these because the model could have actually been missing from the car from the accident or it could not be recognizable at the time of the accident."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### engine_capacity_cc"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 639009.000000\n",
"mean 1848.094816\n",
"std 1573.057956\n",
"min 2.000000\n",
"25% 1248.000000\n",
"50% 1598.000000\n",
"75% 1995.000000\n",
"max 91000.000000\n",
"Name: engine_capacity_cc, dtype: float64"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#engine_capacity_cc\n",
"df['engine_capacity_cc'].describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I am going to handle both outliers and the null values of engine_capacity_cc using the ideals of quantiles and the interquartile range (IQR)."
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3115.5\n",
"127.5\n"
]
}
],
"source": [
"#first I'm going to handle both ends of outliers.\n",
"#(determine the min and max cuttoffs for detecting the outlier)\n",
"q75, q25 = np.percentile(df['engine_capacity_cc'].dropna(), [75 ,25])\n",
"iqr = q75 - q25\n",
" \n",
"ecmin = q25 - (iqr*1.5)\n",
"ecmax = q75 + (iqr*1.5)\n",
"\n",
"print(ecmax)\n",
"print(ecmin)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To explain, what I am going to do is use the ecmax number for the maximum engine_capacity_cc and ecmin for my engine_capacity_cc. Then I'm going to take the mean of those and use it as my fillna."
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"df = df[df['engine_capacity_cc']<=ecmax]"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"df = df[df['engine_capacity_cc']>=ecmin]"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df['engine_capacity_cc'].hist(bins=20)\n",
"plt.style.use('dark_background')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I can accept this distribution and will now check and handle their nulls"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 569057.000000\n",
"mean 1633.351432\n",
"std 473.765085\n",
"min 128.000000\n",
"25% 1299.000000\n",
"50% 1598.000000\n",
"75% 1968.000000\n",
"max 3110.000000\n",
"Name: engine_capacity_cc, dtype: float64"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#check values of 'engine_capacity_cc'\n",
"df['engine_capacity_cc'].describe()"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1633.3514322818276"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['engine_capacity_cc'].mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Going to round this mean value"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"df['engine_capacity_cc'].fillna(1652, inplace=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note: After doing the above null fixes, propulsion_code dropped from having 10% null values to 0. (see below). I will continue on and fix lsoa_of_accident_location then drop the rest of the null values with are all <5%."
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"lsoa_of_accident_location 5.902045\n",
"2nd_road_number 1.317618\n",
"make 0.063087\n",
"pedestrian_crossing-human_control 0.005448\n",
"pedestrian_crossing-physical_facilities 0.005096\n",
"time 0.003866\n",
"vehicle_locationrestricted_lane 0.001406\n",
"speed_limit 0.001230\n",
"did_police_officer_attend_scene_of_accident 0.000176\n",
"date 0.000000\n",
"accident_severity 0.000000\n",
"road_type 0.000000\n",
"road_surface_conditions 0.000000\n",
"police_force 0.000000\n",
"1st_road_class 0.000000\n",
"1st_road_number 0.000000\n",
"number_of_vehicles 0.000000\n",
"number_of_casualties 0.000000\n",
"longitude 0.000000\n",
"day_of_week 0.000000\n",
"local_authority_highway 0.000000\n",
"local_authority_district 0.000000\n",
"light_conditions 0.000000\n",
"special_conditions_at_site 0.000000\n",
"junction_detail 0.000000\n",
"carriageway_hazards 0.000000\n",
"junction_control 0.000000\n",
"latitude 0.000000\n",
"x1st_point_of_impact 0.000000\n",
"was_vehicle_left_hand_drive 0.000000\n",
"urban_or_rural_area 0.000000\n",
"vehicle_type 0.000000\n",
"vehicle_reference 0.000000\n",
"vehicle_manoeuvre 0.000000\n",
"vehicle_leaving_carriageway 0.000000\n",
"towing_and_articulation 0.000000\n",
"skidding_and_overturning 0.000000\n",
"sex_of_driver 0.000000\n",
"propulsion_code 0.000000\n",
"model 0.000000\n",
"junction_location 0.000000\n",
"journey_purpose_of_driver 0.000000\n",
"hit_object_off_carriageway 0.000000\n",
"hit_object_in_carriageway 0.000000\n",
"engine_capacity_cc 0.000000\n",
"driver_imd_decile 0.000000\n",
"driver_home_area_type 0.000000\n",
"age_of_vehicle 0.000000\n",
"age_band_of_driver 0.000000\n",
"inscotland 0.000000\n",
"year 0.000000\n",
"weather_conditions 0.000000\n",
"accident_index 0.000000\n",
"dtype: float64"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.isnull().sum().sort_values(ascending=False)/df.shape[0]*100"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### lsoa_of_accident_location"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"E01032739 440\n",
"E01004736 412\n",
"E01000004 410\n",
"E01018648 303\n",
"E01004689 261\n",
"E01002444 231\n",
"E01030458 229\n",
"E01011365 213\n",
"E01016012 203\n",
"E01012851 192\n",
"E01024335 188\n",
"E01010521 185\n",
"E01011107 184\n",
"E01007913 178\n",
"E01023732 176\n",
"E01008440 176\n",
"E01013607 176\n",
"E01009200 175\n",
"E01016952 173\n",
"E01022677 173\n",
"E01031587 171\n",
"E01031583 171\n",
"E01032740 170\n",
"E01023584 168\n",
"E01008397 167\n",
"E01007611 166\n",
"E01003482 165\n",
"E01018337 164\n",
"E01005131 163\n",
"E01024721 162\n",
" ... \n",
"E01020417 1\n",
"E01001776 1\n",
"E01001842 1\n",
"E01005410 1\n",
"E01010078 1\n",
"E01032493 1\n",
"E01024642 1\n",
"E01013208 1\n",
"E01029822 1\n",
"E01030386 1\n",
"E01014887 1\n",
"E01028665 1\n",
"E01012928 1\n",
"E01030956 1\n",
"E01028815 1\n",
"E01033056 1\n",
"E01026820 1\n",
"E01014938 1\n",
"E01001967 1\n",
"E01018642 1\n",
"E01018682 1\n",
"E01024749 1\n",
"E01031616 1\n",
"W01000170 1\n",
"W01000305 1\n",
"E01003999 1\n",
"E01012436 1\n",
"E01021050 1\n",
"E01028837 1\n",
"W01001389 1\n",
"Name: lsoa_of_accident_location, Length: 33936, dtype: int64"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# #lsoa_of_accident_location\n",
"df['lsoa_of_accident_location'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 535471\n",
"unique 33936\n",
"top E01032739\n",
"freq 440\n",
"Name: lsoa_of_accident_location, dtype: object"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['lsoa_of_accident_location'].describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"With 35061 unique variable and a high count amount the top variables I am deciding to do ffill again. "
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"df['lsoa_of_accident_location'].fillna(method='ffill', inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2nd_road_number 1.317618\n",
"make 0.063087\n",
"pedestrian_crossing-human_control 0.005448\n",
"pedestrian_crossing-physical_facilities 0.005096\n",
"time 0.003866\n",
"vehicle_locationrestricted_lane 0.001406\n",
"speed_limit 0.001230\n",
"did_police_officer_attend_scene_of_accident 0.000176\n",
"carriageway_hazards 0.000000\n",
"longitude 0.000000\n",
"road_type 0.000000\n",
"road_surface_conditions 0.000000\n",
"police_force 0.000000\n",
"1st_road_class 0.000000\n",
"1st_road_number 0.000000\n",
"number_of_vehicles 0.000000\n",
"number_of_casualties 0.000000\n",
"lsoa_of_accident_location 0.000000\n",
"local_authority_highway 0.000000\n",
"date 0.000000\n",
"local_authority_district 0.000000\n",
"light_conditions 0.000000\n",
"special_conditions_at_site 0.000000\n",
"junction_detail 0.000000\n",
"accident_severity 0.000000\n",
"junction_control 0.000000\n",
"day_of_week 0.000000\n",
"latitude 0.000000\n",
"x1st_point_of_impact 0.000000\n",
"was_vehicle_left_hand_drive 0.000000\n",
"urban_or_rural_area 0.000000\n",
"vehicle_type 0.000000\n",
"vehicle_reference 0.000000\n",
"vehicle_manoeuvre 0.000000\n",
"vehicle_leaving_carriageway 0.000000\n",
"towing_and_articulation 0.000000\n",
"skidding_and_overturning 0.000000\n",
"sex_of_driver 0.000000\n",
"propulsion_code 0.000000\n",
"model 0.000000\n",
"junction_location 0.000000\n",
"journey_purpose_of_driver 0.000000\n",
"hit_object_off_carriageway 0.000000\n",
"hit_object_in_carriageway 0.000000\n",
"engine_capacity_cc 0.000000\n",
"driver_imd_decile 0.000000\n",
"driver_home_area_type 0.000000\n",
"age_of_vehicle 0.000000\n",
"age_band_of_driver 0.000000\n",
"inscotland 0.000000\n",
"year 0.000000\n",
"weather_conditions 0.000000\n",
"accident_index 0.000000\n",
"dtype: float64"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#### Check nulls for again\n",
"df.isnull().sum().sort_values(ascending=False)/df.shape[0]*100"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Dropping the remaining nulls that are <1%."
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"x1st_point_of_impact 0.0\n",
"speed_limit 0.0\n",
"road_type 0.0\n",
"road_surface_conditions 0.0\n",
"police_force 0.0\n",
"pedestrian_crossing-physical_facilities 0.0\n",
"pedestrian_crossing-human_control 0.0\n",
"number_of_vehicles 0.0\n",
"number_of_casualties 0.0\n",
"lsoa_of_accident_location 0.0\n",
"longitude 0.0\n",
"local_authority_highway 0.0\n",
"local_authority_district 0.0\n",
"light_conditions 0.0\n",
"latitude 0.0\n",
"junction_detail 0.0\n",
"junction_control 0.0\n",
"did_police_officer_attend_scene_of_accident 0.0\n",
"day_of_week 0.0\n",
"date 0.0\n",
"carriageway_hazards 0.0\n",
"accident_severity 0.0\n",
"2nd_road_number 0.0\n",
"1st_road_number 0.0\n",
"1st_road_class 0.0\n",
"special_conditions_at_site 0.0\n",
"time 0.0\n",
"was_vehicle_left_hand_drive 0.0\n",
"urban_or_rural_area 0.0\n",
"vehicle_type 0.0\n",
"vehicle_reference 0.0\n",
"vehicle_manoeuvre 0.0\n",
"vehicle_locationrestricted_lane 0.0\n",
"vehicle_leaving_carriageway 0.0\n",
"towing_and_articulation 0.0\n",
"skidding_and_overturning 0.0\n",
"sex_of_driver 0.0\n",
"propulsion_code 0.0\n",
"model 0.0\n",
"make 0.0\n",
"junction_location 0.0\n",
"journey_purpose_of_driver 0.0\n",
"hit_object_off_carriageway 0.0\n",
"hit_object_in_carriageway 0.0\n",
"engine_capacity_cc 0.0\n",
"driver_imd_decile 0.0\n",
"driver_home_area_type 0.0\n",
"age_of_vehicle 0.0\n",
"age_band_of_driver 0.0\n",
"inscotland 0.0\n",
"year 0.0\n",
"weather_conditions 0.0\n",
"accident_index 0.0\n",
"dtype: float64"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#drop the remaining nulls that are <1%\n",
"df.dropna(inplace=True)\n",
"\n",
"#last check\n",
"df.isnull().sum().sort_values(ascending=False)/df.shape[0]*100"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(561135, 53)"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Int64Index: 561135 entries, 0 to 720279\n",
"Data columns (total 53 columns):\n",
"accident_index 561135 non-null object\n",
"1st_road_class 561135 non-null object\n",
"1st_road_number 561135 non-null object\n",
"2nd_road_number 561135 non-null object\n",
"accident_severity 561135 non-null object\n",
"carriageway_hazards 561135 non-null object\n",
"date 561135 non-null datetime64[ns]\n",
"day_of_week 561135 non-null object\n",
"did_police_officer_attend_scene_of_accident 561135 non-null object\n",
"junction_control 561135 non-null object\n",
"junction_detail 561135 non-null object\n",
"latitude 561135 non-null float64\n",
"light_conditions 561135 non-null object\n",
"local_authority_district 561135 non-null object\n",
"local_authority_highway 561135 non-null object\n",
"longitude 561135 non-null float64\n",
"lsoa_of_accident_location 561135 non-null object\n",
"number_of_casualties 561135 non-null int64\n",
"number_of_vehicles 561135 non-null int64\n",
"pedestrian_crossing-human_control 561135 non-null object\n",
"pedestrian_crossing-physical_facilities 561135 non-null object\n",
"police_force 561135 non-null object\n",
"road_surface_conditions 561135 non-null object\n",
"road_type 561135 non-null object\n",
"special_conditions_at_site 561135 non-null object\n",
"speed_limit 561135 non-null float64\n",
"time 561135 non-null object\n",
"urban_or_rural_area 561135 non-null object\n",
"weather_conditions 561135 non-null object\n",
"year 561135 non-null int64\n",
"inscotland 561135 non-null object\n",
"age_band_of_driver 561135 non-null object\n",
"age_of_vehicle 561135 non-null category\n",
"driver_home_area_type 561135 non-null object\n",
"driver_imd_decile 561135 non-null float64\n",
"engine_capacity_cc 561135 non-null float64\n",
"hit_object_in_carriageway 561135 non-null object\n",
"hit_object_off_carriageway 561135 non-null object\n",
"journey_purpose_of_driver 561135 non-null object\n",
"junction_location 561135 non-null object\n",
"make 561135 non-null object\n",
"model 561135 non-null object\n",
"propulsion_code 561135 non-null object\n",
"sex_of_driver 561135 non-null object\n",
"skidding_and_overturning 561135 non-null object\n",
"towing_and_articulation 561135 non-null object\n",
"vehicle_leaving_carriageway 561135 non-null object\n",
"vehicle_locationrestricted_lane 561135 non-null object\n",
"vehicle_manoeuvre 561135 non-null object\n",
"vehicle_reference 561135 non-null object\n",
"vehicle_type 561135 non-null object\n",
"was_vehicle_left_hand_drive 561135 non-null object\n",
"x1st_point_of_impact 561135 non-null object\n",
"dtypes: category(1), datetime64[ns](1), float64(5), int64(3), object(43)\n",
"memory usage: 227.4+ MB\n"
]
}
],
"source": [
"df.info()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### More outliers, categorizing, and other cleanup"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"#detecting outliers of numerical columns (all floats/ints excluding lat/long and year)\n",
"\n",
"df_num = df[['engine_capacity_cc','number_of_casualties','number_of_vehicles','speed_limit']]\n"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x576 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_num.hist( bins=25, grid=False, figsize=(12,8))\n",
"plt.style.use('dark_background')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Column 'speed_limit' seems ok and was previously altered 'engine_capacity_cc'. However, 'number_of_casualties', and 'number_of_vehicles',will be evaluated. "
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1 391938\n",
"2 113736\n",
"3 35451\n",
"4 12511\n",
"5 4621\n",
"6 1739\n",
"7 599\n",
"8 243\n",
"9 146\n",
"10 52\n",
"11 29\n",
"12 28\n",
"13 15\n",
"16 10\n",
"14 4\n",
"15 3\n",
"17 3\n",
"24 2\n",
"21 2\n",
"19 1\n",
"22 1\n",
"43 1\n",
"Name: number_of_casualties, dtype: int64"
]
},
"execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# #number_of_casualties\n",
"df['number_of_casualties'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [],
"source": [
"#create casualities grouping\n",
"\n",
"def casualities(num_cas):\n",
" if num_cas >=1 and num_cas <2:\n",
" return \"1\"\n",
" elif num_cas >=2 and num_cas <3:\n",
" return \"2\"\n",
" elif num_cas >=3 and num_cas <4:\n",
" return \"3\"\n",
" elif num_cas >= 4 and num_cas <5:\n",
" return \"4\"\n",
" elif num_cas >= 5:\n",
" return \"5+\"\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
"#apply function \n",
"df['number_of_casualties']= df['number_of_casualties'].apply(casualities)"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1 391938\n",
"2 113736\n",
"3 35451\n",
"4 12511\n",
"5+ 7499\n",
"Name: number_of_casualties, dtype: int64"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#number_of_casualties\n",
"df['number_of_casualties'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Petrol 60.540155\n",
"Heavy oil 38.544913\n",
"Hybrid electric 0.782699\n",
"Gas/Bi-fuel 0.094808\n",
"Petrol/Gas (LPG) 0.021207\n",
"Electric diesel 0.013188\n",
"Gas 0.002317\n",
"New fuel technology 0.000356\n",
"Gas Diesel 0.000178\n",
"Fuel cells 0.000178\n",
"Name: propulsion_code, dtype: float64"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['propulsion_code'].value_counts()/df.shape[0]*100"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
"#Clean the values for Propulsion Code. \n",
"df['propulsion_code'] = df['propulsion_code'].replace(to_replace=\"Gas\", value=\"Petrol\")\n",
"df['propulsion_code'] = df['propulsion_code'].replace(to_replace=\"Gas/Bi-fuel\", value=\"Bio-fuel\")\n",
"df['propulsion_code'] = df['propulsion_code'].replace(to_replace=\"Petrol/Gas (LPG)\", value=\"LPG Petrol\")\n",
"df['propulsion_code'] = df['propulsion_code'].replace(to_replace=\"Gas Diesel\", value=\"Diesel\")"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Petrol 60.542472\n",
"Heavy oil 38.544913\n",
"Hybrid electric 0.782699\n",
"Bio-fuel 0.094808\n",
"LPG Petrol 0.021207\n",
"Electric diesel 0.013188\n",
"New fuel technology 0.000356\n",
"Diesel 0.000178\n",
"Fuel cells 0.000178\n",
"Name: propulsion_code, dtype: float64"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['propulsion_code'].value_counts()/df.shape[0]*100"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Feature Manipulation Creation and Engineering"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"accident_index 412838\n",
"longitude 356283\n",
"latitude 346962\n",
"lsoa_of_accident_location 33895\n",
"model 25688\n",
"2nd_road_number 5781\n",
"1st_road_number 5088\n",
"date 2557\n",
"time 1439\n",
"engine_capacity_cc 1023\n",
"local_authority_district 380\n",
"make 226\n",
"local_authority_highway 207\n",
"police_force 51\n",
"vehicle_manoeuvre 18\n",
"vehicle_type 16\n",
"number_of_vehicles 15\n",
"vehicle_reference 15\n",
"hit_object_in_carriageway 12\n",
"hit_object_off_carriageway 12\n",
"age_band_of_driver 11\n",
"driver_imd_decile 10\n",
"vehicle_locationrestricted_lane 10\n",
"weather_conditions 9\n",
"junction_location 9\n",
"vehicle_leaving_carriageway 9\n",
"junction_detail 9\n",
"propulsion_code 9\n",
"special_conditions_at_site 8\n",
"day_of_week 7\n",
"journey_purpose_of_driver 7\n",
"year 7\n",
"age_of_vehicle 7\n",
"speed_limit 7\n",
"carriageway_hazards 6\n",
"pedestrian_crossing-physical_facilities 6\n",
"towing_and_articulation 6\n",
"1st_road_class 6\n",
"skidding_and_overturning 6\n",
"junction_control 5\n",
"x1st_point_of_impact 5\n",
"light_conditions 5\n",
"number_of_casualties 5\n",
"road_surface_conditions 5\n",
"road_type 5\n",
"pedestrian_crossing-human_control 3\n",
"did_police_officer_attend_scene_of_accident 3\n",
"accident_severity 3\n",
"driver_home_area_type 3\n",
"sex_of_driver 3\n",
"was_vehicle_left_hand_drive 2\n",
"urban_or_rural_area 2\n",
"inscotland 2\n",
"dtype: int64"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# #unique values\n",
"df.nunique().sort_values(ascending=False)"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
"df['date'] = pd.to_datetime(df['date'])"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
"df['month'] = df ['date'].apply(lambda time: time.month)"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [],
"source": [
"#creating a weekend feature that includes Friday-Sunday\n",
"df['weekend']= np.where(df['day_of_week'].isin(['Friday', 'Saturday', 'Sunday']), 1, 0)"
]
},
{
"cell_type": "code",
"execution_count": 225,
"metadata": {},
"outputs": [],
"source": [
"#create time of day feature with Morning Rush, Day, Noon Rush, Afternoon, After Work Rush, Night\n",
"\n",
"#time of day dictionary\n",
"timeofdaygroups = {1: \"Morning Rush (6-10)\",\n",
" 2: \"Day (10-12)\",\n",
" 3: \"Lunch Rush (12-14)\",\n",
" 4: \"Afternoon (14-16)\",\n",
" 5: \"After Work Rush (16-18)\",\n",
" 6: \"Evening (18-22)\",\n",
" 7: \"Night (22-6)\"}"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {},
"outputs": [],
"source": [
"#pull time data and create hour column\n",
"df['hour'] = df['time'].str[0:2]\n",
" \n",
"#convert to numeric \n",
"df['hour'] = pd.to_numeric(df['hour'])\n",
"\n",
"#convert to integer\n",
"df['hour'] = df['hour'].astype('int')"
]
},
{
"cell_type": "code",
"execution_count": 228,
"metadata": {},
"outputs": [],
"source": [
"#create time_of_day grouping\n",
"\n",
"def daygroup(hour):\n",
" if hour >= 6 and hour < 10:\n",
" return \"1\"\n",
" elif hour >= 10 and hour < 12:\n",
" return \"2\"\n",
" elif hour >= 12 and hour < 14:\n",
" return \"3\"\n",
" elif hour >= 14 and hour < 16:\n",
" return \"4\"\n",
" elif hour >= 16 and hour < 18:\n",
" return \"5\"\n",
" elif hour >= 18 and hour < 22:\n",
" return \"6\"\n",
" else:\n",
" return \"7\"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 229,
"metadata": {},
"outputs": [],
"source": [
"#apply function \n",
"#time of day function\n",
"df['time_of_day']= df['hour'].apply(daygroup) "
]
},
{
"cell_type": "code",
"execution_count": 64,
"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>weekend</th>\n",
" <th>day_of_week</th>\n",
" <th>time</th>\n",
" <th>time_of_day</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>720270</th>\n",
" <td>0</td>\n",
" <td>Wednesday</td>\n",
" <td>08:45</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>720271</th>\n",
" <td>0</td>\n",
" <td>Wednesday</td>\n",
" <td>08:45</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>720272</th>\n",
" <td>0</td>\n",
" <td>Tuesday</td>\n",
" <td>18:12</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>720273</th>\n",
" <td>1</td>\n",
" <td>Sunday</td>\n",
" <td>11:00</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>720274</th>\n",
" <td>1</td>\n",
" <td>Sunday</td>\n",
" <td>11:00</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>720275</th>\n",
" <td>0</td>\n",
" <td>Monday</td>\n",
" <td>16:32</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>720276</th>\n",
" <td>0</td>\n",
" <td>Monday</td>\n",
" <td>16:32</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>720277</th>\n",
" <td>1</td>\n",
" <td>Friday</td>\n",
" <td>06:45</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>720278</th>\n",
" <td>0</td>\n",
" <td>Tuesday</td>\n",
" <td>16:45</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>720279</th>\n",
" <td>0</td>\n",
" <td>Tuesday</td>\n",
" <td>16:45</td>\n",
" <td>5</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" weekend day_of_week time time_of_day\n",
"720270 0 Wednesday 08:45 1\n",
"720271 0 Wednesday 08:45 1\n",
"720272 0 Tuesday 18:12 6\n",
"720273 1 Sunday 11:00 2\n",
"720274 1 Sunday 11:00 2\n",
"720275 0 Monday 16:32 5\n",
"720276 0 Monday 16:32 5\n",
"720277 1 Friday 06:45 1\n",
"720278 0 Tuesday 16:45 5\n",
"720279 0 Tuesday 16:45 5"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[['weekend','day_of_week','time', 'time_of_day']].tail(10)"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Car 86.052020\n",
"Van / Goods 3.5 tonnes mgw or under 5.481212\n",
"Motorcycle over 500cc 3.999929\n",
"Taxi/Private hire car 2.932628\n",
"Motorcycle over 125cc and up to 500cc 0.881428\n",
"Motorcycle 125cc and under 0.178567\n",
"Minibus (8 - 16 passenger seats) 0.140251\n",
"Other vehicle 0.131519\n",
"Goods over 3.5t. and under 7.5t 0.083937\n",
"Motorcycle 50cc and under 0.043840\n",
"Bus or coach (17 or more pass seats) 0.024771\n",
"Goods vehicle - unknown weight 0.015326\n",
"Goods 7.5 tonnes mgw and over 0.013188\n",
"Motorcycle - unknown cc 0.013009\n",
"Agricultural vehicle 0.007128\n",
"Electric motorcycle 0.001247\n",
"Name: vehicle_type, dtype: float64"
]
},
"execution_count": 65,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#vehicle_type\n",
"df['vehicle_type'].value_counts()/df.shape[0]*100"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I want to condense the vehicle type variables. "
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {},
"outputs": [],
"source": [
"#motorcycles\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\"Motorcycle over 500cc\", \n",
" value=\"Motorcycle\")\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\n",
" \"Motorcycle over 125cc and up to 500cc\",\n",
" value=\"Motorcycle\")\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\"Motorcycle 125cc and under\", \n",
" value=\"Motorcycle\")\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\"Motorcycle 50cc and under\", \n",
" value=\"Motorcycle\")\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\"Electric motorcycle\", \n",
" value=\"Motorcycle\")\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\"Motorcycle - unknown cc\", \n",
" value=\"Motorcycle\")\n",
"\n",
"\n",
"#Goods_vehicle\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\n",
" \"Van / Goods 3.5 tonnes mgw or under\", \n",
" value=\"Goods Vehicle\")\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\"Goods over 3.5t. and under 7.5t\", \n",
" value=\"Goods Vehicle\")\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\"Goods vehicle - unknown weight\", \n",
" value=\"Goods Vehicle\")\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\"Goods 7.5 tonnes mgw and over\", \n",
" value=\"Goods Vehicle\")\n",
"\n",
"#car\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\"Taxi/Private hire car\", \n",
" value=\"Car\")\n",
"\n",
"\n",
"#bus\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\"Minibus (8 - 16 passenger seats)\", \n",
" value=\"Bus\")\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\n",
" \"Bus or coach (17 or more pass seats)\", \n",
" value=\"Bus\")\n",
"\n",
"#other vehicle\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\"Agricultural vehicle\", \n",
" value=\"Other Vehicle\")\n",
"df['vehicle_type'] = df['vehicle_type'].replace(to_replace=\"Other vehicle\", \n",
" value=\"Other Vehicle\")\n"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Car 88.984647\n",
"Goods Vehicle 5.593663\n",
"Motorcycle 5.118020\n",
"Bus 0.165023\n",
"Other Vehicle 0.138648\n",
"Name: vehicle_type, dtype: float64"
]
},
"execution_count": 124,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#vehicle_type\n",
"df['vehicle_type'].value_counts()/df.shape[0]*100"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create more condense groups for age band of driver in order to deal with some potential outliers."
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"26 - 35 22.598662\n",
"36 - 45 20.728345\n",
"46 - 55 17.551213\n",
"21 - 25 12.208827\n",
"56 - 65 10.373796\n",
"16 - 20 7.145696\n",
"66 - 75 5.624850\n",
"Over 75 3.757028\n",
"11 - 15 0.011049\n",
"6 - 10 0.000356\n",
"0 - 5 0.000178\n",
"Name: age_band_of_driver, dtype: float64"
]
},
"execution_count": 68,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#age_band_of_driver \n",
"df['age_band_of_driver'].value_counts()/df.shape[0]*100"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [],
"source": [
"#I did this before hand because as \"Over 75\", it wouldnt convert in the codes below\n",
"df['age_band_of_driver']=df['age_band_of_driver'].replace(\"Over 75\",\"75-100\")"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [],
"source": [
"age1 = [\"0 - 5\", \"6 - 10\", \"11 - 15\"]\n",
"age2 = [\"16 - 20\",\"21 - 25\"]\n",
"age3 = [\"26 - 35\",\"36 - 45\"]\n",
"age4 = [\"46 - 55\", \"56 - 65\"]\n",
"age5 = [\"66 - 75\", \"75-100\"]"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [],
"source": [
"#over 75 wouldnt work in the string so I did it separately\n",
"for (row, col) in df.iterrows():\n",
"\n",
" if str.lower(col.age_band_of_driver) in age1:\n",
" df['age_band_of_driver'].replace(to_replace=col.age_band_of_driver, \n",
" value='Under 16', inplace=True)\n",
"\n",
" if str.lower(col.age_band_of_driver) in age2:\n",
" df['age_band_of_driver'].replace(to_replace=col.age_band_of_driver, \n",
" value='16-25', inplace=True)\n",
" \n",
" if str.lower(col.age_band_of_driver) in age3:\n",
" df['age_band_of_driver'].replace(to_replace=col.age_band_of_driver, \n",
" value='26-45', inplace=True)\n",
" if str.lower(col.age_band_of_driver) in age4:\n",
" df['age_band_of_driver'].replace(to_replace=col.age_band_of_driver, \n",
" value='46-65', inplace=True)\n",
" if str.lower(col.age_band_of_driver) in age5:\n",
" df['age_band_of_driver'].replace(to_replace=col.age_band_of_driver, \n",
" value='Over 65', inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Distinct responses for age_band_of_driver:\n",
" {'Over 65', 'Under 16', '46-65', '26-45', '16-25'}\n"
]
}
],
"source": [
"#age_band_of_driver\n",
"print(\"Distinct responses for age_band_of_driver:\\n\", set(df['age_band_of_driver']))"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2 72.944835\n",
"3 11.924403\n",
"1 11.570121\n",
"4 2.706122\n",
"5 0.582747\n",
"6 0.167874\n",
"7 0.059166\n",
"8 0.021385\n",
"11 0.005881\n",
"9 0.005881\n",
"10 0.004277\n",
"14 0.002317\n",
"13 0.002139\n",
"16 0.001782\n",
"12 0.001069\n",
"Name: number_of_vehicles, dtype: float64"
]
},
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# number_of_vehicles\n",
"df['number_of_vehicles'].value_counts()/df.shape[0]*100"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {},
"outputs": [],
"source": [
"#group number_of_vehicles\n",
"\n",
"def vehicles(num_veh):\n",
" if num_veh >=1 and num_veh <2:\n",
" return \"1\"\n",
" elif num_veh >=2 and num_veh <3:\n",
" return \"2\"\n",
" elif num_veh >=3 and num_veh <4:\n",
" return \"3\"\n",
" elif num_veh >= 4: \n",
" return \"4+\"\n",
" \n",
"#apply function \n",
"df['number_of_vehicles']= df['number_of_vehicles'].apply(vehicles)"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2 72.944835\n",
"3 11.924403\n",
"1 11.570121\n",
"4+ 3.560640\n",
"Name: number_of_vehicles, dtype: float64"
]
},
"execution_count": 75,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# number_of_vehicles\n",
"df['number_of_vehicles'].value_counts()/df.shape[0]*100"
]
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dtype('O')"
]
},
"execution_count": 76,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['number_of_vehicles'].dtypes"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {},
"outputs": [],
"source": [
"df['number_of_vehicles']=df['number_of_vehicles'].astype('object')"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [],
"source": [
"#creating seasons column for ML\n",
"\n",
"#creating season column\n",
"\n",
"def getSeason(month):\n",
" if (month == 12 or month == 1 or month == 2):\n",
" return \"winter\"\n",
" elif(month == 3 or month == 4 or month == 5):\n",
" return \"spring\"\n",
" elif(month == 6 or month== 7 or month == 8):\n",
" return \"summer\"\n",
" else:\n",
" return \"fall\"\n",
"\n",
"df['season'] = df['month'].apply(getSeason)"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"fall 27.065858\n",
"summer 25.502241\n",
"spring 24.624912\n",
"winter 22.806989\n",
"Name: season, dtype: float64"
]
},
"execution_count": 79,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# number_of_vehicles\n",
"df['season'].value_counts()/df.shape[0]*100"
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x2b326feef60>"
]
},
"execution_count": 80,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#go back to engine capacity CC and crete groups\n",
"df.engine_capacity_cc.hist()"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [],
"source": [
"def enginecap(eng_cc):\n",
" if eng_cc <=1500:\n",
" return \"small engine cc\"\n",
" if eng_cc >1500 and eng_cc <=2000:\n",
" return \"medium engine cc\"\n",
" if eng_cc >2000:\n",
" return \"large engine cc\"\n",
"\n",
"\n",
"df['engine_capacity_cc_size'] = df['engine_capacity_cc'].apply(enginecap)"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"medium engine cc 259881\n",
"small engine cc 231031\n",
"large engine cc 70223\n",
"Name: engine_capacity_cc_size, dtype: int64"
]
},
"execution_count": 82,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.engine_capacity_cc_size.value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(561135, 60)"
]
},
"execution_count": 83,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#Put above pickle in next full run\n",
"#create new column for Machine Learning and Visualization with Not Serious and Serious\n",
"df['accident_seriousness'] = df['accident_severity']\n",
"df['accident_seriousness'] = df['accident_seriousness'].replace(to_replace=\"Slight\", \n",
" value=\"Not Serious\")\n",
"df['accident_seriousness'] = df['accident_seriousness'].replace(to_replace=\"Serious\",\n",
" value=\"Serious\")\n",
"df['accident_seriousness'] = df['accident_seriousness'].replace(to_replace=\"Fatal\", \n",
" value=\"Serious\")\n",
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Not Serious 492804\n",
"Serious 68331\n",
"Name: accident_seriousness, dtype: int64"
]
},
"execution_count": 84,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.accident_seriousness.value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [],
"source": [
"#pickling everything to speed up restarting\n",
"df.to_pickle(\"df.pkl\")"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"scrolled": true
},
"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>accident_index</th>\n",
" <th>1st_road_class</th>\n",
" <th>1st_road_number</th>\n",
" <th>2nd_road_number</th>\n",
" <th>accident_severity</th>\n",
" <th>carriageway_hazards</th>\n",
" <th>date</th>\n",
" <th>day_of_week</th>\n",
" <th>did_police_officer_attend_scene_of_accident</th>\n",
" <th>junction_control</th>\n",
" <th>...</th>\n",
" <th>vehicle_type</th>\n",
" <th>was_vehicle_left_hand_drive</th>\n",
" <th>x1st_point_of_impact</th>\n",
" <th>month</th>\n",
" <th>weekend</th>\n",
" <th>hour</th>\n",
" <th>time_of_day</th>\n",
" <th>season</th>\n",
" <th>engine_capacity_cc_size</th>\n",
" <th>accident_seriousness</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>201001BS70003</td>\n",
" <td>B</td>\n",
" <td>302</td>\n",
" <td>0</td>\n",
" <td>Slight</td>\n",
" <td>None</td>\n",
" <td>2010-01-11</td>\n",
" <td>Monday</td>\n",
" <td>1</td>\n",
" <td>Give way or uncontrolled</td>\n",
" <td>...</td>\n",
" <td>Goods Vehicle</td>\n",
" <td>No</td>\n",
" <td>Front</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" <td>1</td>\n",
" <td>winter</td>\n",
" <td>small engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>201001BS70004</td>\n",
" <td>A</td>\n",
" <td>402</td>\n",
" <td>4204</td>\n",
" <td>Slight</td>\n",
" <td>None</td>\n",
" <td>2010-01-11</td>\n",
" <td>Monday</td>\n",
" <td>1</td>\n",
" <td>Auto traffic signal</td>\n",
" <td>...</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Front</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>18</td>\n",
" <td>6</td>\n",
" <td>winter</td>\n",
" <td>medium engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>201001BS70007</td>\n",
" <td>Unclassified</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Slight</td>\n",
" <td>None</td>\n",
" <td>2010-01-02</td>\n",
" <td>Saturday</td>\n",
" <td>1</td>\n",
" <td>Give way or uncontrolled</td>\n",
" <td>...</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Nearside</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>21</td>\n",
" <td>6</td>\n",
" <td>winter</td>\n",
" <td>medium engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>201001BS70007</td>\n",
" <td>Unclassified</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Slight</td>\n",
" <td>None</td>\n",
" <td>2010-01-02</td>\n",
" <td>Saturday</td>\n",
" <td>1</td>\n",
" <td>Give way or uncontrolled</td>\n",
" <td>...</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Front</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>21</td>\n",
" <td>6</td>\n",
" <td>winter</td>\n",
" <td>small engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>201001BS70008</td>\n",
" <td>A</td>\n",
" <td>3217</td>\n",
" <td>3220</td>\n",
" <td>Slight</td>\n",
" <td>None</td>\n",
" <td>2010-01-04</td>\n",
" <td>Monday</td>\n",
" <td>1</td>\n",
" <td>Auto traffic signal</td>\n",
" <td>...</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Nearside</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>6</td>\n",
" <td>winter</td>\n",
" <td>medium engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 60 columns</p>\n",
"</div>"
],
"text/plain": [
" accident_index 1st_road_class 1st_road_number 2nd_road_number \\\n",
"0 201001BS70003 B 302 0 \n",
"1 201001BS70004 A 402 4204 \n",
"3 201001BS70007 Unclassified 0 0 \n",
"4 201001BS70007 Unclassified 0 0 \n",
"5 201001BS70008 A 3217 3220 \n",
"\n",
" accident_severity carriageway_hazards date day_of_week \\\n",
"0 Slight None 2010-01-11 Monday \n",
"1 Slight None 2010-01-11 Monday \n",
"3 Slight None 2010-01-02 Saturday \n",
"4 Slight None 2010-01-02 Saturday \n",
"5 Slight None 2010-01-04 Monday \n",
"\n",
" did_police_officer_attend_scene_of_accident junction_control ... \\\n",
"0 1 Give way or uncontrolled ... \n",
"1 1 Auto traffic signal ... \n",
"3 1 Give way or uncontrolled ... \n",
"4 1 Give way or uncontrolled ... \n",
"5 1 Auto traffic signal ... \n",
"\n",
" vehicle_type was_vehicle_left_hand_drive x1st_point_of_impact month \\\n",
"0 Goods Vehicle No Front 1 \n",
"1 Car No Front 1 \n",
"3 Car No Nearside 1 \n",
"4 Car No Front 1 \n",
"5 Car No Nearside 1 \n",
"\n",
" weekend hour time_of_day season engine_capacity_cc_size \\\n",
"0 0 7 1 winter small engine cc \n",
"1 0 18 6 winter medium engine cc \n",
"3 1 21 6 winter medium engine cc \n",
"4 1 21 6 winter small engine cc \n",
"5 0 20 6 winter medium engine cc \n",
"\n",
" accident_seriousness \n",
"0 Not Serious \n",
"1 Not Serious \n",
"3 Not Serious \n",
"4 Not Serious \n",
"5 Not Serious \n",
"\n",
"[5 rows x 60 columns]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#import pickled file\n",
"df = pd.read_pickle(\"df.pkl\")\n",
"df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### General Visualizations"
]
},
{
"cell_type": "code",
"execution_count": 278,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"accidentsperyear = df.groupby(['year'])['accident_index'].count()\n",
"\n",
"# prepare plot\n",
"plt.style.use('dark_background')\n",
"plt.figure(figsize=(10,5))\n",
"colors = sns.color_palette(\"plasma\", n_colors=7)\n",
"sns.barplot(accidentsperyear.index,accidentsperyear.values, palette=colors)\n",
"sns.despine(top=True, right=True, left=True, bottom=True)\n",
"plt.title(\"Accidents Per Year\",fontsize=20,fontweight=\"bold\")\n",
"plt.xlabel(\"\\nYear\", fontsize=15, fontweight=\"bold\")\n",
"plt.ylabel(\"\\nNumber of Accidents\", fontsize=15, fontweight=\"bold\")\n",
"plt.savefig('accidentsperyear.png')\n",
"plt.tight_layout()\n"
]
},
{
"cell_type": "code",
"execution_count": 277,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"accidentspermonth = df.groupby(['month'])['accident_index'].count()\n",
"\n",
"# prepare plot\n",
"plt.style.use('dark_background')\n",
"plt.figure(figsize=(20,10))\n",
"colors = sns.color_palette(\"plasma_r\", n_colors=12)\n",
"mt=sns.barplot(accidentspermonth.index,accidentspermonth.values, palette=colors)\n",
"sns.despine(top=True, right=True, left=True, bottom=True)\n",
"#ax is the axes instance\n",
"group_labels = ['Jan', 'Feb','Mar','Apr','May','June','July','Aug','Sept','Oct','Nov','Dec' ]\n",
"\n",
"mt.set_xticklabels(group_labels)\n",
"plt.title(\"Accidents Per Month\",fontsize=20,fontweight=\"bold\")\n",
"plt.xticks(fontsize=18)\n",
"plt.yticks(fontsize=12)\n",
"plt.xlabel(\"\\nMonth\", fontsize=15, fontweight=\"bold\")\n",
"plt.ylabel(\"\\nNumber of Accidents\", fontsize=15, fontweight=\"bold\")\n",
"plt.savefig('accidentspermonth.png')\n",
"plt.tight_layout()\n"
]
},
{
"cell_type": "code",
"execution_count": 276,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x720 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"weekdays = ['Monday', 'Tuesday','Wednesday','Thursday', 'Friday', 'Saturday', 'Sunday']\n",
"accweekday = df.groupby(['year', 'day_of_week']).size()\n",
"accweekday = accweekday.rename_axis(['year', 'day_of_week'])\\\n",
" .unstack('day_of_week')\\\n",
" .reindex(columns=weekdays)\n",
"plt.figure(figsize=(15,10))\n",
"plt.style.use('dark_background')\n",
"sns.heatmap(accweekday, cmap='plasma_r')\n",
"plt.title('\\nAccidents by Weekday per Year\\n', fontsize=14, fontweight='bold')\n",
"plt.xticks(fontsize=15)\n",
"plt.yticks(fontsize=12)\n",
"plt.xlabel('')\n",
"plt.ylabel('')\n",
"plt.savefig('accidentsbyweekdayperyear.png')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Fridays are the day of the week where the most accidents occur."
]
},
{
"cell_type": "code",
"execution_count": 273,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"accidentsperseason = df.groupby(['season'])['accident_index'].count()\n",
"seaord=['spring', 'summer', 'fall','winter']\n",
"# prepare plot\n",
"plt.style.use('dark_background')\n",
"plt.figure(figsize=(15,10))\n",
"\n",
"sns.barplot(accidentsperseason.index,accidentsperseason.values, order=seaord, \n",
" saturation=1, palette='magma_r')\n",
"sns.despine(top=True, right=True, left=True, bottom=True)\n",
"plt.title(\"Accidents Per Season\",fontsize=20,fontweight=\"bold\")\n",
"plt.xticks(fontsize=15)\n",
"plt.yticks(fontsize=12)\n",
"plt.xlabel(\"\\nSeason\", fontsize=15, fontweight=\"bold\")\n",
"plt.ylabel(\"\\nNumber of Accidents\", fontsize=15, fontweight=\"bold\")\n",
"plt.tight_layout()\n",
"plt.savefig('accidentsperseason.png')\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"#\"Morning Rush (6-10)\", \"Day (10-12)\", \"Lunch Rush (12-14)\",\"Afternoon (14-16)\",\n",
"#\"After Work Rush (16-18)\", \"Evening (18-22)\", \"Night (22-6)\"\n",
"\n",
"timeofdaygroups = {'1': \"Morning Rush\",\n",
" '2': \"Day\",\n",
" '3': \"Lunch Rush\",\n",
" '4': \"Afternoon\",\n",
" '5': \"After Work Rush\",\n",
" '6': \"Evening\",\n",
" '7': \"Night\"}\n",
"df['time_of_day']=df['time_of_day'].map(timeofdaygroups)"
]
},
{
"cell_type": "code",
"execution_count": 267,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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DhmTHHXdM8lHw8dBDDy11xcCOO+6Y2bNnf2Idn9Wivzy3adNmif4WLVpks802y4gRIzJ8+PCaEGjAgAHVXxa33377lVLPsgwZMqT6fjZr1iwTJkxIv379lriuc+fO2WyzzZZ7BU1TtbI/O6+88komTpxYXa1xxBFH5JJLLqmu6Dn66KPTokWL6vVPP/30yngan8lBBx2UPn36VI/nzZuXq6++OslHK6BWW+3//9/fP/7xj9XVQ+3bt69ugros/fr1yy9+8Yu0a9cum2++eTp16lTts3knQMMTYADQJLVo0SJHH3109XjChAkZNGjQEte1b9++egeCNm3a5Mgjj8z111+fP/3pT/n73/+er371q0mSAw88MMOGDcvDDz+cDz74IJtvvnm+//3vZ4MNNsi0adNy66235rzzzqveheSUU07JDjvskIEDB6Yoimy99dbZZZddPtPy+xtvvDFXXXVVkmTttdfOc889l7vvvjvrrbdezV0dFnfttdemd+/eadOmTVq3bp1nn302v//97zN69Oi0aNEiXbt2zTe+8Y107Ngxxx57bIYNG/bZX9BlePvtt7PpppsmSb7zne/ksssuy8SJEzN37txce+21WXPNNfPPf/4zr776av7yl79k/PjxmT59ejbddNOau7g09F/gH3744bz44ovZeuutkyQ33XRTDjjggLzwwguZP39+OnTokB133DHbbrtt+vXrl0cffbRB6ymblf3ZKYoiffv2zaWXXpok2XTTTTN06NA88MAD2WCDDdKzZ8/qtRMnTswtt9zSYM/tjDPOSPPmzfOlL30pe+yxR772ta/V9P/4xz/OqFGjkiTvvfdepkyZkrXXXjtJcv7552f99ddPURQ5+uijP/Xf76xZs/Lb3/42p59+epKPVnQkyauvvprBgwev7KcGwFI0+kYcmqZpmvZ528EHH1yz4d6555671Otat25dTJkypXrdc889V+3bZJNNihdffPETN/JbdLPObbbZpuZuDYubMmVK9dpPugtJ8+bNi8cee2ypjzF8+PCauzssvnHmfvvtV0ybNu0Ta158vsU38Vz8NVrUBRdcUNPXu3fvpT7+x5sirrvuup9ay8yZM4vtttvuM72vi2/iuejz+LTWpUuX4pVXXvnUehZ9TVd0Q8mltUWtjE08F/8MLG/f8nx2PqlVKpXi1ltv/cTHmjRpUrHLLrvUjFvZm3guy+TJk4tDDz10ifFnnnnmUq8fO3ZszZ1GFn9PPm6dO3euuRtOURTF2WefvcKfG03TNO3Tm008AWiSFv36yLx585b5F94PP/ywZjPP7bffvvpX+rfffjtf//rX07t37zz++OOZOHFi5s2blylTpuQf//hHrrrqqnzwwQfVscOHD8/WW2+ds88+O0OGDMn777+fefPmZdKkSXnuueeqy9Q/zYIFC/Kd73wnF110UV5//fXMnTs3b731Vvr27ZvddtvtE/dhePjhh7Plllvm0ksvzd/+9rdMnz49c+fOzdtvv51nn302V199db75zW+utM0Er7/++px77rkZOXLkEht+Jh/t6dG7d+/cdtttGT58eCZMmJB58+Zl1qxZGTlyZG644YZ87WtfywsvvLBS6vkkY8aMybbbbptTTjklgwYNyqRJkzJv3rxMnDgxw4YNy2233ZbDDz98ia/+fFGs7M9OURTp2bNnvve97+WBBx7IuHHjMnfu3MycOTPDhg3LZZddlq222ip/+ctfGvR5LVy4MHPnzs3kyZPz0ksv5f77789JJ52Ujh075t57713i+iuuuCInnnhiXnrppcydOzfvvfde7rjjjuy4445LbIq6NG+88UYefPDB6vG8efM+0z4tAKy4Sj5KMgAAgM/gF7/4RX76058mSe6///4cdNBBjVwRwBeDPTAAAOBTdOrUKV26dMmmm26ak08+uXr+mmuuacSqAL5YBBgAAPApjj322Fx44YU15+655548+eSTjVMQwBeQAAMAAD6j+fPnZ+zYsbnzzjtz8cUXN3Y5AF8o9sAAAAAASs9dSAAAAIDSE2AAAAAApSfAAAAAAEpPgAEAAACUngADAAAAKD0BBgAAAFB6AgwAAACg9AQYAAAAQOkJMAAAAIDSE2AAAAAApSfAAAAAAEpPgAEAAACUngADAAAAKD0BBgAAAFB6AgwAAACg9AQYAAAAQOkJMAAAAIDSE2AAAAAApSfAAAAAAEpPgAEAAACUngADAAAAKD0BBgAAAFB6AgwAAACg9AQYAAAAQOkJMAAAAIDSE2AAAAAApSfAAAAAAEpPgAEAAACUngADAAAAKD0BBgAAAFB6AgwAAACg9AQYAAAAQOmt1tgFAAAAXzwTHzyzsUtgObXf/4rGLoEvKCswAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASm+1xi6A5XP4aWMbuwSWw91XdWjsEgAAAJokKzAAAACA0hNgAAAAAKUnwAAAAABKT4ABAAAAlJ4AAwAAACg9AQYAAABQegIMAAAAoPQEGAAAAEDpCTAAAACA0hNgAAAAAKUnwAAAAABKT4ABAAAAlJ4AAwAAACg9AQYAAABQegIMAAAAoPQEGAAAAEDpCTAAAACA0hNgAAAAAKUnwAAAAABKr0kGGD/60Y8ydOjQzJ49O7fccktN31577ZWXX345s2bNysCBA9OxY8dqX8uWLXPzzTdn2rRpGT9+fE477bS6jAUAAABWzGqNXcDyGDduXH7xi1/k3/7t39K6devq+XXXXTf33XdfTjjhhPzhD3/IxRdfnLvvvjs777xzkuTCCy/Mpptumk6dOmWDDTbIoEGD8tJLL+WRRx5p0LEAAF8kg8bc0NglsJz27HJSY5cAsExNcgXG/fffnwEDBmTy5Mk15w866KCMGDEiv//97zNnzpxceOGF6dGjR7p165YkOeaYY3LxxRdn6tSpGTlyZG666aYce+yxDT4WAAAAWDFNMsBYlu7du2fYsGHV4w8++CCjR49O9+7d065du2y88cY1/cOGDUv37t0bdCwAAACw4lapAKNt27aZNm1azblp06ZljTXWSNu2bavHi/c15Nil6dWrV4YOHZqhQ4emV69ey/NUAQAA4AulSe6BsSwzZ87MmmuuWXNuzTXXzIwZMzJz5szq8cSJE2v6GnLs0tx000256aabVuSpAgAAwBfKKrUCY8SIEenRo0f1uE2bNvnKV76SESNGZOrUqRk3blxNf48ePTJixIgGHQsAAACsuCYZYDRv3jytWrVK8+bNa36+//77s9VWW+Wggw5Kq1at8vOf/zzDhw/PK6+8kiS57bbbcv7556ddu3bp1q1bevXqlX79+iVJg44FAAAAVkyTDDDOP//8zJ49O+edd16OPvrozJ49O+eff34mTZqUgw8+OJdcckmmTJmSHXfcMUcccUR13AUXXJDRo0fnzTffzJNPPpnLL788jzzySJI06FgAAABgxVSSFI1dBJ/f4aeNbewSWA53X9WhsUsAgAY3aMwNjV0Cy2nPLifVba6JD55Zt7lYudrvf0Vjl8AXVJNcgQEAAAB8sQgwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASm+VDDA6deqUhx56KO+//37Gjx+fa6+9Ns2bN0+S9OjRI88//3xmzZqV559/Pj169KgZe9lll2XSpEmZNGlSfvnLX9b0rchYAAAAYPmtkgHGb37zm7z33nvZcMMNs+2222b33XfPf/zHf6RFixYZMGBA7rjjjqy99tq59dZbM2DAgLRo0SJJcuKJJ+aAAw5Ijx49ss022+S73/1uTjrppCRZobEAAADAilklA4wuXbrknnvuyZw5czJhwoT8+c9/Tvfu3bPHHntktdVWy9VXX525c+fm2muvTaVSyV577ZUk6dmzZ6688sq88847GTduXK688soce+yxSbJCYwEAAIAVs0oGGNdcc02OOOKItG7dOhtttFG+/e1vV0OM4cOH11w7fPjwdO/ePUnSvXv3DBs2rNo3bNiwmr7lHbu4Xr16ZejQoRk6dGh69eq14k8YAAAAVnGrZIDx5JNPpnv37pk+fXreeeedPP/883nggQfStm3bTJs2rebaadOmZY011kiSJfo/qe/zjF3cTTfdlO233z7bb799brrpphV/wgAAALCKW62xC1jZKpVKHnnkkdxwww3ZZZdd0rZt2/z2t7/NL3/5y4wfPz5rrrlmzfVrrrlmZsyYkSSZOXNmTf8n9X2esQCwKrh6yp8auwSW06lrf7uxSwCAFbbKrcBYZ5110rFjx/z617/O3Llz8/777+eWW27JfvvtlxEjRmSbbbapuX6bbbbJiBEjkiQjRoyoubNIjx49avqWdywAAACwYla5AGPy5Ml5/fXX07t37zRv3jxrrbVWevbsmWHDhuWJJ57IggULcsopp6Rly5b50Y9+lCQZOHBgkuS2227L6aefno022igbbrhhzjjjjPTr1y9JVmgsAAAAsGJWuQAjSQ466KDsu+++mThxYkaNGpX58+fntNNOy7x583LAAQfkmGOOydSpU/ODH/wgBxxwQObNm5ckueGGG/KHP/whL774Yv75z3/moYceyg033JAkKzQWAAAAWDGVJEVjF8Hnd/hpYxu7BJbD3Vd1aOwSAJabPTCarnrvgTFojD/iNFV7djmpbnNNfPDMus3FytV+/ysauwS+oFbJFRgAAADAqkWAAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD0BBgAAABA6QkwAAAAgNITYAAAAAClJ8AAAAAASqYqhF8AACAASURBVE+AAQAAAJSeAAMAAAAoPQEGAAAAUHqrNXYBADS+w14e0tglsJzu2WK3xi4BAKAurMAAAAAASk+AAQAAAJSeAAMAAAAoPQEGAAAAUHoCDAAAAKD06hpg7LLLLjnttNOy9957J0n23XffjBw5MpMnT84dd9yRNm3a1LMcAAAAoImoa4Bx1lln5fLLL88mm2ySli1bpn///tl0003Trl27HHHEEfnZz35Wz3IAAACAJqKuAcZ2222XJHniiSey4447pl27dhk5cmQefPDBVCqVHHjggfUsBwAAAGgi6hpgtG/fPkny9ttvZ+utt05RFLnyyivTs2fPJMnGG29cz3IAAACAJqKuAcaHH36Y5KOg4utf/3qS5NVXX838+fOTJAsWLKhnOQAAAEATsVo9J3vttdey/fbb5x//+Efatm2b+fPn5x//+Ec6duyYJBk/fnw9ywEAAACaiLquwOjbt2+SZM0110yzZs1y2223ZebMmdl3332TJH/961/rWQ4AAADQRNR1Bca9996bt956K7vsskvefPPN3HfffUmSF154Iccdd1yGDh1az3IAAACAJqKuAcbRRx+dJLnqqqtqzj/55JPp0qVLPUsBAAAAmpC6Bhj9+vXLwoULc/vtty/RN2rUqCxcuDAtWrSoZ0kAAABAE1DXPTCSpFKpLHGuVatWy+wDAAAAaPAVGPvvv3++//3v15y7+eaba467du2aJJkxY0ZDlwMAAAA0QQ0eYGy77bbp2bNn9bhSqdQcL+pvf/tbQ5cDAAAANEF12QPj46+GFEVRc/yxKVOmZOjQoTnllFPqUQ4AAADQxDR4gNGnT5/06dMnSbJgwYIURZHmzZs39LQAAADAKqSudyHZc8896zkdAAAAsIqoa4AxePDgNGvWLDvvvHM6dOhQvfvIopZ2i1UAAADgi62uAcZ2222X++67Lx06dFhqf1EUAgwAAABgCXUNMH7zm9+kY8eO9ZwSAAAAWAXUNcDYeuutUxRFbr311txzzz2ZPXt29c4kAAAAAMtS1wDjjTfeyOabb55TTz01M2bMqOfUAAAAQBPWrJ6T/fznP0+S9O7du57TAgAAAE1cXVdgnHzyyZkxY0b+8z//M6ecckpGjx6d+fPnV/uLosjee+9dz5IAAACAJqCuAcbuu++eoihSqVSy4YYbZoMNNqj2VSoV+2EAAAAAS1XXAOOtt94SUgAAAACfW10DjC5dutRzOgAAAGAVUddNPBfVqlWrmq+QAAAAACxL3QOMnXbaKU8//XRmzpyZsWPHJkmuueaa3HzzzenevXu9ywEAAACagLp+hWS77bbLwIED07Jly5pNOxcsWJCePXvm/fffz1lnnVXPkgAAAIAmoK4rMPr06ZNWrVpl5MiRNef79euXSqXiFqoAAADAUtU1wNh1111TFEX222+/mvMvv/xykqRjx471LAcAAABoIuoaYKy++upJkvHjx9ecX2+99Wr6AQAAABZV1wBjzJgxSZLDDjusem7NNddM3759kySvv/56PcsBAAAAmoi6Bhh33XVXKpVKbr311uoGnpMmTcqhhx6aoihy11131bMcAAAAoImoa4Bx2WWX5YknnkilUqm25s2bp1KpZPDgwfnVr35Vz3IAAACAJqKut1GdN29evvWtb+XII4/Mvvvum/bt22fSpEn585//nDvvvDMLFiyoZzkAAABAE1HXACNJFi5cmDvuuCN33HFHvacGAAAAmqgGDzCOPvroz3X97bff3kCVAAAAAE1VgwcY/fr1q27Y+WmKohBgAAAAAEuoy1dIKpVKPaYBAAAAVlENHmDsueee1Z/XWmutXH/99Xnvvfdy9dVXZ9y4cdloo41y6qmnZqONNspJJ53U0OUAAAAATVCDBxiDBw+u/nzLLbdk/fXXzw477JB33nmnev7xxx/Pm2++mYMOOigPPPBAQ5cEAAAANDHN6jnZgQcemCRp3bp1zfk2bdokSfbff/96lgMAAAA0EXW9jeqcOXPStm3bPProo/mf//mfvPPOO9l4441zwgknVPsBAAAAFlfXAOO3v/1tzj777HTs2DF9+vSpnv94k8+bb765nuUAAAAATURdA4yf/OQnmTt3bk499dS0bdu2en7mzJm56qqrctFFF9WzHAAAAKCJqGuAURRFLrjgglx55ZXZZpttsuGGG2b8+PEZPnx4pk+fXs9SAAAAgCakrgHGx6ZPn54hQ4Y0xtQAAABAE9TgAcbjjz+eoiiy99575/HHH//Eaz++DgAAAGBRDR5g7LHHHimKYomfF1epVJbZBwAAAHyxNXiA8dZbb2XhwoXVn4UUAAAAwOfV4AFGly5dlvozAAAAwGfVrLELAAAAAPg0dQ0wrrzyyowePTqnnnpqzflTTz01o0ePzuWXX17PcgAAAIAmoq4BxgEHHJBOnTrlwQcfrDn/wAMPpHPnzjnwwAPrWQ4AAADQRNQ1wNhoo42SJOPHj685P2HChJp+AAAAgEXVNcCYNWtWkuTf/u3fas5/fPxxPwAAAMCiGvwuJIt69tlns+++++a2227Lddddl1deeSXdunXLD3/4wxRFkWeffbae5QAAAABNRF1XYFxxxRUpiiJt2rTJGWeckRtvvDFnnHFG2rZtm6IoVuomnocffnheeumlzJw5M6NGjcpuu+2WJNlrr73y8ssvZ9asWRk4cGA6duxYHdOyZcvcfPPNmTZtWsaPH5/TTjut5jFXZCwAAACw/OoaYAwaNCgnnHBCpk+fnkqlUm3Tpk3LCSeckCeffHKlzLP33nvnl7/8ZY477risscYa+cY3vpHXX3896667bu6777787Gc/yzrrrJPnn38+d999d3XchRdemE033TSdOnXKnnvumbPPPrv69ZYVGQsAAACsmLp+hSRJ+vXrl3vuuSe77LJL2rdvn4kTJ+Yvf/lLPvjgg5U2x0UXXZQ+ffpUv5Iybty4JEmvXr0yYsSI/P73v0/yUegwadKkdOvWLa+88kqOOeaYHHfccZk6dWqmTp2am266Kccee2weeeSRHHTQQcs9FgAAAFgxdV2B8bEPPvggjz32WH73u9/lscceW6nhRbNmzfL1r3897du3z2uvvZaxY8fm2muvzeqrr57u3btn2LBhNXWMHj063bt3T7t27bLxxhvX9A8bNizdu3dPkhUau7hevXpl6NChGTp0aHr16rXSnjsAAACsquoaYNx5552ZP39+zjvvvJrz55xzTubPn5/+/fuv8Bzrr79+WrZsmUMOOST/+q//mm233Tbbbbddzj///LRt2zbTpk2ruX7atGlZY4010rZt2+rx4n1JVmjs4m666aZsv/322X777XPTTTet8HMGAACAVV1dA4yPN9K87bbbas7fcccdqVQq1f4V8eGHHyZJrr322rz77ruZPHly+vbtm/322y8zZ87MmmuuWXP9mmuumRkzZmTmzJnV48X7kqzQWAAAAGDF1DXA+NKXvpQkS13JsGj/ipg6dWrGjh2boiiW6BsxYkR69OhRPW7Tpk2+8pWvZMSIEZk6dWrGjRtX09+jR4+MGDFihccCAAAAK6auAcaUKVOSfHSL00V9fDx16tSVMs8tt9ySH//4x2nfvn3atWuXU089NX/84x9z//33Z6uttspBBx2UVq1a5ec//3mGDx+eV155JclHK0POP//8tGvXLt26dUuvXr3Sr1+/JFmhsQAAAMCKqWuAMWTIkFQqlVx33XW5++6706dPn9x999257rrrUhRFnnrqqZUyz8UXX5yhQ4fm1Vdfzcsvv5wXXnghl1xySSZNmpSDDz44l1xySaZMmZIdd9wxRxxxRHXcBRdckNGjR+fNN9/Mk08+mcsvv7x6F5EVGQsAAACsmEqSJb9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IoZw5c0a7du3SwYMH7UbxdOvWTRs3btT58+clXd8ud+zYocjISLvRG5s2bXLYLvPiHDmzeo0bN3Y4Ht7OOTLyx48//qgTJ05o9OjRWS7buHFjRUVFKTw83DbtzJkz2rFjh8OyheU4kZcIMAqhwMBAlSlTRpMnT1bp0qUzPel3dXVV8eLFHQ6y6a/vv//+TKdndONJuHT9P1l2boh2q3qVKlVSsWLFHB4bdDuPIBs6dKgaNWqktm3bKjQ0VDNmzNA///nPbNdPN3jwYC1fvlwfffSRDh06pEOHDjkMT/3777/tLitJP3njxnB5o0SJEqpYsaLOnTunRo0aKTAwUKdOnVLv3r3VpEkT23C7G//efn5+SktLsw0F7dOnjxYuXFjgd5NH5jLbH0j/69OKFSvahpTf7nqcnJzsrjm+mRYtWqhx48bq2bOnYmJi5Ovre9uPKjTG6KWXXtLZs2fl4+Ojs2fP6tdff3V4ukJWn/de0aZNG1WoUEGrVq1SuXLlVK5cOW3cuFFJSUmZ3gAyK66urqpWrZpSUlLsyvjx4x3ugXQ7xzTpf31TrVo1Xb582eGpXufOnVPp0qVVvHhxVatWLdP3yOz4WliOH3ndl1Le9GdGW7duVWpqqpo1a6amTZvqwIEDiomJkSSFhYWpWbNmqlatmtzc3Oxu4Jmdfs+qLaVKlVKbNm0UHByc6eNcb+aHH35Qo0aN1LJlS/n4+Khjx44aMGBAtuun8/Hx0ZgxY9S1a1dt375d586d04QJExyCjJye190tUlJStGPHDoeS/n9vyZIlths4ly1bVi+//LLdD4Gurq5q2rSpw3bZv39/h+0yP86RJalq1aq5OkdG/khNTdX06dPVq1cv1ahR45bLZtaHUub9WFiOE3mpaEE3AHkvMTFRK1eu1LBhw+Tv75/pI3suXLig5ORkVa5c2W56+vV76Qf0dCbDfR/yU3R0tK5du+bw6+XNfs3MzJEjR2wpZlhYmA4fPqyPP/5Ybdu2tS2TlJTk8MUmY3ATFxenIUOGaMiQIapXr55GjhypRYsWaffu3dq/f//tfjTkQKtWrVSsWDGFhYXJ09NT0dHRDtesZ5SYmChfX1/169dPx48f10MPPaTvvvvuDrYaSUlJkq7/MnvjE5AqVKhw2+u6ePGi7Uthfvnjjz+UkJCg33//XSdOnNDmzZs1ePBg2y+dN36eG91///12IzUOHjyozp07q2jRomrRooWmTZumoKAgPfjgg9x9PIP0L7ZLly51mNe1a1cNGzbsttYXExOjU6dOqUOHDlkum9O+iIqKUtmyZVWyZEm7L7NVqlRRQkKCkpOTbWFbdo+vhUF2+jItLe221pkf/RkfH68///xTzZo10/nz5+3ucREWFqa3337bdk+LGwOM7PR7Vm25fPmyunXrpqCgIEVFRWXrV1rpeiCSfj7z66+/ys3NTRMmTNDChQtt53fZOZ8xxuiLL77QF198oQcffFA9e/bU5MmTdfr0ac2ZMydbbbkX+Pr66qOPPtKzzz6rmjVrytnZWcuWLbPNj4mJUXh4eKY3N83OKKC8cPbs2VydIyP/+Pj46MMPP3S431FGmfWhdL0f0883cHOMwCikvvnmG61YsUKzZ8/OdH5aWpp27Njh8JjArl27KjU11e6gfqelpaVp165dat++vd301157LUfri42N1bRp09SmTRu7URinTp1S7dq1ba+LFCmi1q1b33Q9e/bs0YgRI+Ts7KwnnngiR23B7SlXrpymTZumw4cPa/369SpZsqQteU7Xs2fPTOvOnz9fzz33nMaNG6ewsDAdOHDgTjQZ/1/60wZu/D/29NNP5+ipIBs2bFDFihX1yiuv5Fn7buW3335TUFCQhg4davtSkNnnefDBB/X4449nuo6UlBSFhITos88+U/Xq1VW+fPn8b/hdpHTp0nr11Vf1008/6fnnn7crw4YNU9WqVW03d8zoZiNWNmzYoKpVqyo+Pj7TX1jzQnh4uNLS0hxuVt25c2f99ttvkq5vK6dPn870+BoXF6c9e/bkSVusIjd9Kd35/gwNDbWNwLjxXGfr1q2qVKmS7ZLDG59mlZ1+z47g4GB16dJFw4cP15gxY3LU/tGjR6tSpUp64403bNNOnTrlcF6S2ZNxblx+2rRpOnLkiMNTdu51+/fv1549e9StWzd169ZN69atswsdN2zYoFq1aunEiRMO2+Sff/55R9oYHh6udu3a2U3L6Tky8lZycrJmzJih/v373/KHl/DwcFWrVs3uBrnVq1dXw4YNc/y+99KIDEZgFFKbNm3Spk2bbrmMt7e31q5dKx8fH/n6+qpevXqaOHGi7bGhBWnKlCkKCAjQl19+qcDAQDVv3tz25eV2f8WRrgc677//vt577z316dNHkhQQEKBBgwbpjz/+0NGjR/Xmm2/KxcXFrt7mzZsVEBCgP//8U8YYeXl5KT4+/rbvGo6sFS1a1HY5SNmyZdWwYUMNHDhQpUqV0ssvv6y0tDStW7dOw4YN0+eff64VK1aoWbNm6tWrV6br2759u/7880+1aNFCb7311p38KPeM4sWLq1OnTg7TN23apO3bt+vUqVP673//q7Fjx+r+++/XyJEjHe7Inx3r1q3TmjVr9NNPP2nChAnauXOnqlWrpueeey5HQ6mzY/LkydqyZYt69eolHx8fnT59Wtu3b9fEiROVmJgoJycnjRkzxu7Etl69epoxY4aWLFmio0ePqkKFCho1apR27dqlS5cu5Us771bt27dX6dKlNXPmTIf9aWhoqD744AP16NFDEydOdKh77do1HT16VF27dtWff/6ppKQk7d69W+vWrdMvv/yidevWadq0adq7d69cXFxsT5fI6RfGGx04cECLFy/WV199JRcXFx05ckReXl564oknbL/IGmM0btw4zZkzRxcvXtS6devUsmVLDRw4UGPGjLljv9LeKdntyw0bNmRa/07355YtW/TOO++oatWqdgFGTEyMDh48qDYF6L8VAAAFI0lEQVRt2ujnn3+2q5Odfs+ulStXqnfv3lq0aJH+/vvvTJ/8divh4eFau3athg0bplmzZiktLU0BAQF688039dlnnykoKEitWrWSh4eHXb3Zs2crJiZGW7duVVxcnFq1aqVHH300y1+KC5sbzzVudPLkSZ05c0bS9ctIhgwZonLlysnLy8tuuYULF2rAgAHauHGjZsyYoaNHj6pixYp6+umndfbsWX3xxRf5/hmmTZumbdu2ydfXVwsWLFDt2rVt7czJOTLy1pw5czRmzBg1b97c7t4VN1q1apV27dolPz8/jR49WleuXJG3t7fOnTuXoz48cOCAXnnlFa1Zs0bx8fE6ePCg7RHVhREjMO5h69atU7du3dSoUSOtWLFCQ4cO1aeffqrBgwcXdNO0fPly/fvf/1aHDh20fPlyNW7cWO+9954k3fQZ77eSkJCgmTNnqnv37rZrFMePHy9/f39NmjRJ3333nXbt2iUfHx+7emFhYerXr5+WLl0qPz8/ubq6qk2bNgUe8BRG5cuX19atW7Vlyxb5+/vbHh9Wr1492+OgVq9erZEjR6pTp04KDAxUy5Yt9eqrr950ncuXL7ddToK85+LioqVLlzqUunXr6tq1a/L09FRaWpqWLl2q4cOHa+DAgTn+Iu/p6alvv/1WQ4cO1erVqzVp0qTbvsnm7QgLC1NwcLBtvyNdf1TjiRMn9OOPP2rKlCmaMGGCDh48aJt/9uxZnTt3Th988IFWr16tr7/+Wvv37+eXsUz06NFDhw4dyjQMTklJkZ+fnzp27KgSJUpkWn/AgAFydXXV+vXr9fvvv6t69eqSpI4dO8rHx0dDhw7VL7/8ojlz5qhp06a39St5Vry8vPT9999r7Nix+vnnn+Xm5qZXX33V7pKDefPm6d1335Wnp6dWrlypHj16aPjw4Zo2bVqetcMqstuXt7oXzZ3sz/R+io+P1969e+3mhYWFycnJye4Gnumy0+/ZtWTJEr311lv64osv1Ldv39uuP2nSJNWsWdN2n6dVq1Zp9OjR6ty5swICAuTm5qahQ4c6fLbnnntOCxYs0KpVq+Tp6SkvLy+HsKawSz/XyFhef/112zK+vr6qVKmS0tLStHz5crv6V69eVatWrbRu3TqNHz9ea9eu1cyZM/Xoo4/esR+3duzYoR49eqhhw4Zavny5OnXqZAvScnKOjLx15coVff7551ku1759ex04cEALFizQzJkz9c0332jfvn056sMRI0YoISFBQUFB+v3333M8kuNuUuCPQqFQslM++OADk5iYeE8+apCSs7Jt2zazcOHCAm8HhUKhUCgUSn6Vnj17GmOMeeihhwq8LZScFRcXF3PhwgUzbty4Am+L1QuXkMCSXF1dNXr0aIWEhCgxMVEtWrTQqFGjNH/+fG5ugyw1bNhQrVu31tNPP61BgwYVdHMAAADyzNdff61169bp0qVLatCggT788EOtXLlSx44dK+imIZvefvttpaWl6fDhw6pUqZL+85//qESJEg6jwZG5Ak9RKJSMxcXFxQQFBZno6GiTnJxsjh8/bqZOnWqKFi1a4G2jWL8YY0xMTIwZNWpUgbeFQqFQKBQKJS/LkiVLTFRUlElOTjZRUVHmm2++MWXLli3wdlGyX/r162f2799vEhISTHx8vAkODjbPPPNMgbfrbihF/v8/AAAAAAAALIubeAIAAAAAAMsjwAAAAAAAAJZHgAEAAAAAACyPAAMAAAAAAFgeAQYAAAAAALC8/wfgNB8kAiuXeQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 1080x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"accidentspertod = df.groupby(['time_of_day'])['accident_index'].count()\n",
"\n",
"# prepare plot\n",
"plt.style.use('dark_background')\n",
"plt.figure(figsize=(15,10))\n",
"tod=[\"Morning Rush\", \"Day\", \"Lunch Rush\", \"Afternoon\",\n",
" \"After Work Rush\", \"Evening\", \"Night\"]\n",
"sns.barplot(accidentspertod.index,accidentspertod.values, order=tod, palette='rainbow')\n",
"sns.despine(top=True, right=True, left=True, bottom=True)\n",
"plt.title(\"Accidents Per Time of Day\",fontsize=20,fontweight=\"bold\")\n",
"plt.xticks(fontsize=15)\n",
"plt.yticks(fontsize=12)\n",
"\n",
"plt.xlabel(\"\", fontsize=15, fontweight=\"bold\")\n",
"plt.ylabel(\"\\nNumber of Accidents\", fontsize=15, fontweight=\"bold\")\n",
"plt.tight_layout()\n",
"plt.savefig('accidentspertod.png')\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Accident Forecasting with Tableau"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
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"metadata": {},
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"source": [
"%%HTML\n",
"<div class='tableauPlaceholder' id='viz1572176706313' style='position: relative'><noscript><a href='https://github.com/GenTaylor/Traffic-Accident-Analysis'><img alt=' ' src='https://public.tableau.com/static/images/Ac/AccidentForecasting/AccidentForecasting/1_rss.png' style='border: none' /></a></noscript><object class='tableauViz' style='display:none;'><param name='host_url' value='https%3A%2F%2Fpublic.tableau.com%2F' /> <param name='embed_code_version' value='3' /> <param name='site_root' value='' /><param name='name' value='AccidentForecasting/AccidentForecasting' /><param name='tabs' value='no' /><param name='toolbar' value='yes' /><param name='static_image' value='https://public.tableau.com/static/images/Ac/AccidentForecasting/AccidentForecasting/1.png' /> <param name='animate_transition' value='yes' /><param name='display_static_image' value='yes' /><param name='display_spinner' value='yes' /><param name='display_overlay' value='yes' /><param name='display_count' value='yes' /></object></div> <script type='text/javascript'> var divElement = document.getElementById('viz1572176706313'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement); </script>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"According to the forecasting above, traffic accidents will be slightly lower than years before but following similar trends throughout the months. \n",
"\n",
"Below is a screenshot of the above forecasting. I put this here just in case there is trouble viewing it. If you would like to view the actual worksheet for it, please click [here](https://public.tableau.com/profile/genesis.taylor#!/vizhome/AccidentForecasting/AccidentForecasting).\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Correlations\n",
"For correlation I used both Pearson and Spearman just in case there would be discrepancies. The order may have slightly varied but the \"highest\" correlated remained the same."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"accident_seriousness 1.000000\n",
"vehicle_type 0.133941\n",
"x1st_point_of_impact 0.076099\n",
"speed_limit 0.065554\n",
"skidding_and_overturning 0.059322\n",
"vehicle_leaving_carriageway 0.058977\n",
"sex_of_driver 0.054505\n",
"lsoa_of_accident_location 0.048548\n",
"number_of_casualties 0.043294\n",
"age_band_of_driver 0.039851\n",
"junction_control 0.037966\n",
"hit_object_off_carriageway 0.036040\n",
"time_of_day 0.026101\n",
"model 0.022808\n",
"accident_index 0.022391\n",
"junction_location 0.019548\n",
"road_type 0.019443\n",
"engine_capacity_cc_size 0.019305\n",
"driver_imd_decile 0.017195\n",
"weekend 0.017001\n",
"date 0.016821\n",
"propulsion_code 0.016685\n",
"junction_detail 0.016134\n",
"year 0.016002\n",
"age_of_vehicle 0.014322\n",
"inscotland 0.012642\n",
"vehicle_locationrestricted_lane 0.011370\n",
"month 0.006929\n",
"latitude 0.006853\n",
"carriageway_hazards 0.004003\n",
"1st_road_number 0.003862\n",
"towing_and_articulation 0.003658\n",
"time 0.003062\n",
"hour 0.002450\n",
"local_authority_district 0.002129\n",
"pedestrian_crossing-human_control -0.001036\n",
"day_of_week -0.001781\n",
"make -0.002377\n",
"special_conditions_at_site -0.002652\n",
"was_vehicle_left_hand_drive -0.003057\n",
"1st_road_class -0.004179\n",
"journey_purpose_of_driver -0.005085\n",
"local_authority_highway -0.005379\n",
"season -0.007647\n",
"2nd_road_number -0.008978\n",
"police_force -0.009640\n",
"hit_object_in_carriageway -0.010963\n",
"pedestrian_crossing-physical_facilities -0.012054\n",
"light_conditions -0.012499\n",
"road_surface_conditions -0.015441\n",
"longitude -0.024353\n",
"weather_conditions -0.029648\n",
"vehicle_reference -0.037848\n",
"driver_home_area_type -0.041281\n",
"engine_capacity_cc -0.047446\n",
"vehicle_manoeuvre -0.048098\n",
"urban_or_rural_area -0.065074\n",
"number_of_vehicles -0.066120\n",
"did_police_officer_attend_scene_of_accident -0.086731\n",
"accident_severity -0.973745\n",
"Name: accident_seriousness, dtype: float64"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#correlation by accident severity pearson\n",
"corrdf=df.apply(LabelEncoder().fit_transform)\n",
"sc = StandardScaler()\n",
"corrdf = sc.fit_transform(corrdf)\n",
"corrdf=pd.DataFrame(data=corrdf,columns=df.columns)\n",
"corr=corrdf.corr()['accident_seriousness']\n",
"corr[np.argsort(corr,axis=0)[::-1]]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"accident_seriousness 1.000000\n",
"vehicle_type 0.114374\n",
"vehicle_leaving_carriageway 0.071079\n",
"x1st_point_of_impact 0.067697\n",
"speed_limit 0.062779\n",
"skidding_and_overturning 0.059746\n",
"sex_of_driver 0.054629\n",
"lsoa_of_accident_location 0.048538\n",
"junction_control 0.041690\n",
"age_band_of_driver 0.037758\n",
"hit_object_off_carriageway 0.034738\n",
"road_type 0.028215\n",
"time_of_day 0.026387\n",
"junction_location 0.024224\n",
"junction_detail 0.024051\n",
"accident_index 0.022667\n",
"number_of_casualties 0.022535\n",
"engine_capacity_cc_size 0.022157\n",
"model 0.021979\n",
"date 0.017136\n",
"weekend 0.017001\n",
"driver_imd_decile 0.016911\n",
"propulsion_code 0.016522\n",
"year 0.016282\n",
"inscotland 0.012642\n",
"vehicle_locationrestricted_lane 0.010124\n",
"age_of_vehicle 0.009042\n",
"time 0.007971\n",
"hour 0.007432\n",
"month 0.006572\n",
"1st_road_number 0.006437\n",
"latitude 0.006432\n",
"towing_and_articulation 0.004320\n",
"carriageway_hazards 0.003980\n",
"local_authority_district 0.001801\n",
"make 0.000794\n",
"special_conditions_at_site 0.000097\n",
"journey_purpose_of_driver -0.000857\n",
"day_of_week -0.001860\n",
"pedestrian_crossing-human_control -0.001870\n",
"was_vehicle_left_hand_drive -0.003057\n",
"1st_road_class -0.003177\n",
"local_authority_highway -0.005600\n",
"season -0.007485\n",
"police_force -0.011075\n",
"road_surface_conditions -0.015850\n",
"pedestrian_crossing-physical_facilities -0.016310\n",
"hit_object_in_carriageway -0.017504\n",
"light_conditions -0.019421\n",
"longitude -0.024395\n",
"2nd_road_number -0.027880\n",
"weather_conditions -0.028520\n",
"engine_capacity_cc -0.036678\n",
"driver_home_area_type -0.041308\n",
"vehicle_manoeuvre -0.046600\n",
"vehicle_reference -0.049230\n",
"urban_or_rural_area -0.065074\n",
"number_of_vehicles -0.078513\n",
"did_police_officer_attend_scene_of_accident -0.086918\n",
"accident_severity -0.999548\n",
"Name: accident_seriousness, dtype: float64"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"corr_spear=corrdf.corr(method='spearman')['accident_seriousness']\n",
"corr_spear[np.argsort(corr_spear,axis=0)[::-1]]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Looking at this I wanted to visualize some of the higher pos/negative correlations against accident severity."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Chi-Squared Test\n",
"\n",
"Before these visualizations were done, I wanted to be sure that the visualizations were of some importance to accident_seriousness. For this, the chi-squared test was used."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The column accident_index is IMPORTANT for Prediction\n",
"The column 1st_road_class is IMPORTANT for Prediction\n",
"The column 1st_road_number is IMPORTANT for Prediction\n",
"The column 2nd_road_number is IMPORTANT for Prediction\n",
"The column carriageway_hazards is IMPORTANT for Prediction\n",
"The column date is IMPORTANT for Prediction\n",
"The column day_of_week is IMPORTANT for Prediction\n",
"The column did_police_officer_attend_scene_of_accident is IMPORTANT for Prediction\n",
"The column junction_control is IMPORTANT for Prediction\n",
"The column junction_detail is IMPORTANT for Prediction\n",
"The column latitude is IMPORTANT for Prediction\n",
"The column light_conditions is IMPORTANT for Prediction\n",
"The column local_authority_district is IMPORTANT for Prediction\n",
"The column local_authority_highway is IMPORTANT for Prediction\n",
"The column longitude is IMPORTANT for Prediction\n",
"The column lsoa_of_accident_location is IMPORTANT for Prediction\n",
"The column number_of_casualties is IMPORTANT for Prediction\n",
"The column number_of_vehicles is IMPORTANT for Prediction\n",
"The column pedestrian_crossing-human_control is IMPORTANT for Prediction\n",
"The column pedestrian_crossing-physical_facilities is IMPORTANT for Prediction\n",
"The column police_force is IMPORTANT for Prediction\n",
"The column road_surface_conditions is IMPORTANT for Prediction\n",
"The column road_type is IMPORTANT for Prediction\n",
"The column special_conditions_at_site is IMPORTANT for Prediction\n",
"The column speed_limit is IMPORTANT for Prediction\n",
"The column time is IMPORTANT for Prediction\n",
"The column urban_or_rural_area is IMPORTANT for Prediction\n",
"The column weather_conditions is IMPORTANT for Prediction\n",
"The column year is IMPORTANT for Prediction\n",
"The column inscotland is IMPORTANT for Prediction\n",
"The column age_band_of_driver is IMPORTANT for Prediction\n",
"The column age_of_vehicle is IMPORTANT for Prediction\n",
"The column driver_home_area_type is IMPORTANT for Prediction\n",
"The column driver_imd_decile is IMPORTANT for Prediction\n",
"The column engine_capacity_cc is IMPORTANT for Prediction\n",
"The column hit_object_in_carriageway is IMPORTANT for Prediction\n",
"The column hit_object_off_carriageway is IMPORTANT for Prediction\n",
"The column journey_purpose_of_driver is IMPORTANT for Prediction\n",
"The column junction_location is IMPORTANT for Prediction\n",
"The column make is IMPORTANT for Prediction\n",
"The column model is IMPORTANT for Prediction\n",
"The column propulsion_code is IMPORTANT for Prediction\n",
"The column sex_of_driver is IMPORTANT for Prediction\n",
"The column skidding_and_overturning is IMPORTANT for Prediction\n",
"The column towing_and_articulation is IMPORTANT for Prediction\n",
"The column vehicle_leaving_carriageway is IMPORTANT for Prediction\n",
"The column vehicle_locationrestricted_lane is IMPORTANT for Prediction\n",
"The column vehicle_manoeuvre is IMPORTANT for Prediction\n",
"The column vehicle_reference is IMPORTANT for Prediction\n",
"The column vehicle_type is IMPORTANT for Prediction\n",
"The column was_vehicle_left_hand_drive is IMPORTANT for Prediction\n",
"The column x1st_point_of_impact is IMPORTANT for Prediction\n",
"The column month is IMPORTANT for Prediction\n",
"The column weekend is IMPORTANT for Prediction\n",
"The column hour is IMPORTANT for Prediction\n",
"The column time_of_day is IMPORTANT for Prediction\n",
"The column season is IMPORTANT for Prediction\n",
"The column engine_capacity_cc_size is IMPORTANT for Prediction\n"
]
}
],
"source": [
"\"\"\"chisquare algorithm from \n",
"http://www.insightsbot.com/blog/2AeuRL/chi-square-feature-selection-in-python \"\"\"\n",
"\n",
" \n",
"class ChiSquare:\n",
" def __init__(self, dataframe):\n",
" self.df = dataframe\n",
" self.p = None #P-Value\n",
" self.chi2 = None #Chi Test Statistic\n",
" self.dof = None\n",
" \n",
" self.dfObserved = None\n",
" self.dfExpected = None\n",
" \n",
" def _print_chisquare_result(self, colX, alpha):\n",
" result = \"\"\n",
" if self.p<alpha:\n",
" result=\"The column {0} is IMPORTANT for Prediction\".format(colX)\n",
" else:\n",
" result=\"The column {0} is NOT an important predictor. (Discard {0} from model)\".format(colX)\n",
"\n",
" print(result)\n",
" \n",
" def TestIndependence(self,colX,colY, alpha=0.05):\n",
" X = self.df[colX].astype(str)\n",
" Y = self.df[colY].astype(str)\n",
" \n",
" self.dfObserved = pd.crosstab(Y,X) \n",
" chi2, p, dof, expected = stats.chi2_contingency(self.dfObserved.values)\n",
" self.p = p\n",
" self.chi2 = chi2\n",
" self.dof = dof \n",
" \n",
" self.dfExpected = pd.DataFrame(expected, columns=self.dfObserved.columns, \n",
" index = self.dfObserved.index)\n",
" \n",
" self._print_chisquare_result(colX,alpha)\n",
"\n",
"#Initialize ChiSquare Class\n",
"cT = ChiSquare(df)\n",
"\n",
"#Feature Selection\n",
"testColumns = ['accident_index', '1st_road_class', '1st_road_number','2nd_road_number', \n",
" 'carriageway_hazards', 'date', 'day_of_week', \n",
" 'did_police_officer_attend_scene_of_accident','junction_control', \n",
" 'junction_detail', 'latitude', 'light_conditions', 'local_authority_district',\n",
" 'local_authority_highway', 'longitude','lsoa_of_accident_location', \n",
" 'number_of_casualties', 'number_of_vehicles', 'pedestrian_crossing-human_control',\n",
" 'pedestrian_crossing-physical_facilities', 'police_force','road_surface_conditions', \n",
" 'road_type', 'special_conditions_at_site', 'speed_limit', 'time', \n",
" 'urban_or_rural_area', 'weather_conditions', 'year', 'inscotland', \n",
" 'age_band_of_driver', 'age_of_vehicle', 'driver_home_area_type', \n",
" 'driver_imd_decile', 'engine_capacity_cc','hit_object_in_carriageway', \n",
" 'hit_object_off_carriageway', 'journey_purpose_of_driver', 'junction_location', \n",
" 'make', 'model','propulsion_code', 'sex_of_driver', 'skidding_and_overturning',\n",
" 'towing_and_articulation', 'vehicle_leaving_carriageway',\n",
" 'vehicle_locationrestricted_lane', 'vehicle_manoeuvre','vehicle_reference',\n",
" 'vehicle_type', 'was_vehicle_left_hand_drive', 'x1st_point_of_impact', 'month',\n",
" 'weekend', 'hour', 'time_of_day','season', 'engine_capacity_cc_size']\n",
"for var in testColumns:\n",
" cT.TestIndependence(colX=var,colY=\"accident_seriousness\" ) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Visualizations In Relation to Accident Seriousness"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Method:\n",
"For my visualizations I have decided to use some of the features with the highest correlations to accident_seriousness:\n",
"* did_police_officer_attend_scene_of_accident \n",
"* x1st_point_of_impact \n",
"* number_of_vehicles \n",
"* speed_limit\n",
"* urban_or_rural_area \n",
"* skidding_and_overturning \n",
"* vehicle_leaving_carriageway \n",
"* sex_of_driver \n",
"* vehicle_type \n",
"* vehicle_manoeuvre \n",
"* engine_capacity_cc \n",
"* number_of_casualties \n",
"* driver_home_area_type \n",
"* age_band_of_driver \n",
"* junction_control \n",
"* hit_object_off_carriageway\n",
"* hit_object_in_carriageway \n",
"* driver_imd_decile *\n",
"* junction_detail *\n",
"* junction_location *\n",
"* propulsion_code *\n",
"* year *\n",
"***\n",
"Note: The columns used were selected because of the absolute value of their correlation in relation to accident_seriousness\n",
"\n",
"*columns added after correlation was done after undersampling"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For visual reasons, two separate dataframes were created, for not serious and serious accidents. I wanted to better scale the data and for me, this was the simplest way of doing so."
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Not Serious Group Shape: (492804, 59)\n"
]
},
{
"data": {
"text/plain": [
"Not Serious 492804\n",
"Name: accident_seriousness, dtype: int64"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#dataframe where accidents are Slight\n",
"not_serious = df[(df['accident_seriousness']==\"Not Serious\")]\n",
"print(\"Not Serious Group Shape:\", not_serious.shape)\n",
"\n",
"not_serious.accident_seriousness.value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Serious Group Shape: (68331, 59)\n"
]
},
{
"data": {
"text/plain": [
"Serious 68331\n",
"Name: accident_seriousness, dtype: int64"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#dataframe where accidents are serious\n",
"serious= df[(df['accident_seriousness']==\"Serious\")]\n",
"\n",
"print(\"Serious Group Shape:\", serious.shape)\n",
"serious.accident_seriousness.value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"#map 1, 2, 3 in did_police_officer_attend_scene_of_accident with Yes, No,Self-reported\n",
"policeattend = {1: \"Yes\", 2:\"No\", 3:\"Self-Reported\"}\n",
"not_serious['did_police_officer_attend_scene_of_accident']=not_serious['did_police_officer_attend_scene_of_accident'].map(policeattend)\n",
"df['did_police_officer_attend_scene_of_accident']=df['did_police_officer_attend_scene_of_accident'].map(policeattend)\n",
"serious['did_police_officer_attend_scene_of_accident']=serious['did_police_officer_attend_scene_of_accident'].map(policeattend)\n"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"imddecile = {1:\"Most deprived 10%\", 2:\"More deprived 10-20%\", 3:\"More deprived 20-30%\", \n",
" 4:\"More deprived 30-40%\", 5:\"More deprived 40-50%\", 6:\"Less deprived 40-50%\", \n",
" 7:\"Less deprived 30-40%\", 8:\"Less deprived 20-30%\", 9:\"Less deprived 10-20%\", \n",
" 10:\"Least deprived 10%\"}\n",
"\n",
"not_serious['driver_imd_decile']=not_serious['driver_imd_decile'].map(imddecile)\n",
"df['driver_imd_decile']=df['driver_imd_decile'].map(imddecile)\n",
"serious['driver_imd_decile']=serious['driver_imd_decile'].map(imddecile)\n"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"#setups for adding frequencies to visualizations\n",
"dftotal= float(len(df))\n",
"nstotal= float(len(not_serious))\n",
"setotal= float(len(serious))\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Did Police Officer Attend Scene Of Accident\n",
"\n",
"The below plots will look into if police officers attended the scene of an accident. "
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x576 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax =plt.subplots(1,2,figsize = (15,8))\n",
"sns.despine(top=True, right=True, left=False, bottom=False)\n",
"ax1 = sns.countplot( \"did_police_officer_attend_scene_of_accident\", hue=\"accident_seriousness\", \n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 3,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"ax2 = sns.countplot(\"did_police_officer_attend_scene_of_accident\", hue=\"accident_seriousness\", \n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 3,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"fig.suptitle(\"Did Police Officer Attend Scene Of Accident\", fontsize=20, fontweight=\"bold\")\n",
"ax1.set_xlabel('Attendance of Not Serious Accidents', fontsize=12, fontweight=\"bold\")\n",
"ax2.set_xlabel('Attendance of Serious Accidents', fontsize=12, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number Attended')\n",
"ax2.set_ylabel('Number Attended')\n",
"ax1.get_legend().remove()\n",
"ax2.get_legend().remove()\n",
"plt.style.use('dark_background')\n",
"plt.savefig('did_police_officer_attend_scene_of_accident.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### First Point of Impact\n",
"\n",
"The below plots show the counts for the first spot in which vehicles were hit in an accident"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x864 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# First Point of Impact Vs Accident Seriousness (Not Serious)\n",
"fpoa_order =[\"Front\", \"Nearside\", \"Did not impact\", \"Back\", \"Offside\"]\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,12))\n",
"sns.despine(top=True, right=True, left=False, bottom=False)\n",
"ax1 =sns.countplot(\"accident_seriousness\",hue=\"x1st_point_of_impact\", hue_order=fpoa_order, \n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 3,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"ax2 = sns.countplot(\"accident_seriousness\",hue=\"x1st_point_of_impact\", hue_order=fpoa_order, \n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 3,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"fig.suptitle(\"First Point of Impact in Accidents\", fontsize=20, fontweight=\"bold\")\n",
"ax1.set_xlabel('First Point of Impact of Not Serious Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_xlabel('First Point of Impact of Serious Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.set_ylabel('First Point of Impact Count', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_ylabel('')\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"plt.style.use('dark_background')\n",
"plt.savefig('x1st_point_of_impact.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Number of Vehicles\n",
"\n",
"The below plots show the counts for number of vehicles in each accident."
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x864 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"nov_order=[\"1\",\"2\", \"3\", \"4+\"]\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,12))\n",
"sns.despine(top=True, right=True, left=False, bottom=False)\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"number_of_vehicles\", hue_order=nov_order,\n",
" palette=\"GnBu_d\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 3,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"number_of_vehicles\", hue_order=nov_order,\n",
" palette=\"GnBu_d\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 3,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"fig.suptitle(\"Number of Vehicles in Accidents\", fontsize=20, fontweight=\"bold\")\n",
"ax1.set_xlabel('Number of Vehicles of Not Serious Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_xlabel('Number of Vehicles of Serious Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.set_ylabel('')\n",
"plt.style.use('dark_background')\n",
"plt.savefig('number_of_vehicles.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Spe#### Speed Limit vs Accident Seriousness\n",
"The below graphs show the speed limit by accident in areas where the accidents occured. ed Limit vs Accident Seriousness"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x864 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"splt_order=[15, 20,30,40,50,60,70]\n",
"splt_order2=[20,30,40,50,60,70]\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,12))\n",
"\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"speed_limit\", hue_order=splt_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.4f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"speed_limit\", hue_order=splt_order2,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"fig.suptitle(\"Speed Limit in Accidents\", fontsize=20, fontweight=\"bold\")\n",
"ax1.set_xlabel('Speed Limit of Not Serious Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_xlabel('Speed Limit of Serious Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"plt.style.use('dark_background')\n",
"plt.savefig('speed_limit.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Urban or Rural Area vs Accident Seriousness\n",
"The graphs below show whether the accidents occured in an Urban or Rural Area."
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x576 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax =plt.subplots(1,2,figsize = (15,8))\n",
"sns.despine(top=True, right=True, left=False, bottom=False)\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"urban_or_rural_area\",\n",
" palette=\"PuBu\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 3,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"urban_or_rural_area\",\n",
" palette=\"PuBu\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 3,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"fig.suptitle(\"Urban or Rural Areas vs Accidents\", fontsize=20, fontweight=\"bold\")\n",
"ax1.set_xlabel('\\nUrban or Rural Areas vs Not Serious Accidents', fontsize=14, fontweight=\"bold\")\n",
"ax2.set_xlabel('\\nUrban or Rural Areas vs Serious Accidents', fontsize=14, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.set_ylabel('')\n",
"plt.style.use('dark_background')\n",
"plt.savefig('urban_or_rural_area.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Skidding and Overturning vs Seriousness\n",
"The below graphs show if any skidding, jackniffing, and/or overturnning occured in the acccident."
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x864 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sao_order=[\"None\", \"Skidded\", \"Skidded and overturned\", \"Overturned\", \"Jackknifed\", \n",
" \"Jackknifed and overturned\"]\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,12))\n",
"sns.despine(top=False, right=True, left=True)\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"skidding_and_overturning\", hue_order=sao_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.3f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"skidding_and_overturning\", hue_order=sao_order,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.3f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"fig.suptitle(\"Skidding and Overturning in Accidents\", fontsize=20, fontweight=\"bold\")\n",
"ax1.set_xlabel('\\nSkidding and Overturning in Not Serious Accidents', fontsize=14, fontweight=\"bold\")\n",
"ax2.set_xlabel('\\nSkidding and Overturning in Serious Accidents', fontsize=14, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"plt.style.use('dark_background')\n",
"plt.savefig('skidding_and_overturning.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Vehicle Leaving Carriageway vs Seriousness\n",
"The below graphs show if a vehicle left the carriageway, and if they did, where did they do so."
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x864 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"vlc_order=[\"Did not leave carriageway\", \"Straight ahead at junction\", \"Nearside\", \n",
" \"Offside\", \"Offside on to central reservation\", \"Nearside and rebounded\", \n",
" \"Offside - crossed central reservation\", \"Offside and rebounded\", \n",
" \"Offside on to centrl res + rebounded\"]\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,12))\n",
"sns.despine(top=False, right=True, left=True)\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"vehicle_leaving_carriageway\", hue_order=vlc_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"vehicle_leaving_carriageway\", hue_order=vlc_order,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"fig.suptitle(\"Vehicle Leaving Carriageway in Accidents\", fontsize=18, fontweight=\"bold\")\n",
"ax1.set_xlabel('Not Serious Accidents\\n\\n', fontsize=13, fontweight=\"bold\")\n",
"ax2.set_xlabel('Serious Accidents', fontsize=13, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"plt.style.use('dark_background')\n",
"plt.savefig('vehicle_leaving_carriageway.png')\n",
"fig.show()\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Sex of Driver vs Seriousness\n",
"The below graphs show the sex of the drivers in the accidents."
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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SfffdZ13q2rRpU917772Z1vsr38fblT7wTH+ZcHr16tVTZGSk4uLiFBcXZ+WPHTtWffv2laQcn8AJAHICwSQAOKBy5coaOnSoxowZo40bNyoyMlKnT59W8eLF1bZtW2smTUl2ZwxnzJihd9991zobuGzZMi1cuFAxMTGy2Wzy8/NTkyZNVK1aNQ0dOtQK5Dw8PDRnzhzrx+fq1av11FNPKSIiQjVr1lSZMmU0a9YstWzZ8pZnRYwx+vzzz61ZR/39/RUREaEffvhBPj4+Cg4OttY9ffq0pk2bljMHLRNvvvmmXF1ddffdd6tFixZq0KCBXfnrr79ud/9bTomLi9P69evVrFkzubi4WO/X5cuXNXPmTLt19+zZo6VLl1oziw4ZMkRNmzbVpk2bdOnSJd1zzz168MEHFRAQoPXr11uzw96J0l/ievM9kjcUKVJEzzzzjF2dQYMGKSYmRj/88IN1ZrNRo0ZWXmJioqpUqaL27dsrMDBQu3bt0rJly7Rjxw7Vr19fktShQwft2rVLS5cu1cWLF3X//ferXbt28vHxyfAPm5tNmjTJCiYLFy6s9evXKzQ0VG5ubnb7dLPb/T7+Fekv227QoIHGjh2rw4cPS5LGjRuny5cva926dTp79qx++eUXHT9+XGfPnpWvr69eeOEFq25eXzEAAI7K91mASCQSqaAnR54ZZ4wx27ZtM8WKFbOr++CDD5rjx4/fsm762SonTZpk5ScmJlqzTtatW9dcvnzZKnv//fcd6r/NZjMzZszIdvsJCQnm4YcftquX07O5ZuXMmTMZZk2VMs6imdWz9rKbzfVG6tGjR4btzpo1K9N1S5UqdcvnTBpjPzvnzbO53niGoDPJmdlcb66b3s3PZMwsNWjQwK7OxIkTs1z3t99+s9Y7fvy4cXV1NZLzz5n09fXNsedMTp8+PdP6R44csevvzTOo3s738Vafw/Sz4U6bNs2urHXr1lluw9vb20gyycnJ2fbl6tWrpk2bNnn2945EIpGcSPneARKJRCrwqUSJEqZ9+/ZmzJgxZuPGjeb33383ycnJJiUlxZw8edL8/PPP5rXXXsvycR0lS5Y077zzjtm0aZNJTEw0V65cMcePHze//vqr+frrr81TTz1lPDw8jCTTuXNnux+SQUFBdm0NHDjQ7kdm06ZNHd6Pp556yixcuNAcO3bMpKSkmOTkZLNz504zYsQI4+Pjk2H9nA4mU1NTTUpKiklISDDR0dFmwYIF5uWXX7Yey3Fzyslg0sPDw5w9e9ZuvUceeSTLvru6upoXXnjBLFu2zJw4ccKkpKSYM2fOmKioKDN37lwTHBxsSpcuba1/pwWT48ePt6tTv379LNdN/5kzxpinn37aKrPZbOa5554zS5YsMcePHzcpKSkmKSnJREdHmwkTJlgB043k7u5uXn31VbNq1Spz6tQpc+XKFZOYmGgiIyPN559/bvcdym6fbDab6devn4mOjjaXL182J06cMFOmTDE+Pj63fByHM99HRz6H2QWTksyLL75oIiMjzaVLl+zauXFsunfvbiZNmmS2b99uHcOLFy+affv2mZkzZ5qAgIC/9PeLRCKRcivZ/v8LAAAAAAAcxqNBAAAAAABOI5gEAAAAADiNYBIAAAAA4DSCSQAAAACA0wgmAQAAAABOI5gEAAAAADiNYBIAAAAA4DSCSQAAAACA0wgmAQAAAABOI5gEAAAAADiNYBIAAAAA4DSCSQAAAACA0wgmAQAAAABOI5gEAAAAADiNYBIAAAAA4DSCSQAAAACA0wgmAQAAAABOI5gEAAAAADiNYBIAAAAA4DSCSQAAAACA0wgmAQAAAABOI5gEAAAAADiNYBIAAAAA4DSCSQAAAACA0wgmAQAAAABOI5gEAAAAADiNYBIAAAAA4DSCSQAAAACA0wgmAQAAAABOI5gEAAAAADiNYBIAAAAA4DSCSQAAAACA0wgmAQAAAABOI5gEAAAAADiNYBIAAAAA4DSCSQAAAACA0wgmAQAAAABOI5gEAAAAADiNYBIAAAAA4DSCSQAAAACA0wgmAQAAAABOI5gEAAAAADiNYDIby5Yty+8uAABQ4DA+AgAkgslslS5dOr+7AABAgcP4CACQCCYBAAAAALeBYBIAAAAA4DSCSQAAAACA0wrldwcAAP9TsmRJ9e/fX35+frLZbPndnb8VY4wOHjyoMWPG6OzZs/ndHQCAkxgjc8/tjpEEkwBQgPTv31+//vqrhg0bptTU1Pzuzt+Kq6ur2rZtq/79+2vIkCH53R0AgJMYI3PP7Y6RXOYKAAWIn5+fli5dyiCZC1JTU/Xjjz/Kz88vv7sCALgNjJG553bHSIJJAChAbDYbg2QuSk1N5dIoALhDMUbmrtsZIwkmAQAAAABOI5gEADisadOm2rNnjyIjI+Xh4XHL9adNm6Znn30207IPPvhALVu2zOkuAgCQL/6JYyTBJADAYc8//7xGjRqlevXq6fLly7fdjouLi4YMGaKff/75L/fJxYWhDEDmunbtqpiYGJ0/f1779u1T06ZNJUkhISGKj49XcnKyli1bpnLlyt2yrfvuu0+XLl3SzJkz7fK7deumgwcP6vz581q4cKFKlixplY0ePVqJiYnatGmT7rnnHiv/ueee05gxY3JoL1FQ/BPHSEZg4A6X2UBZuHBhzZs3TwcOHJAxRoGBgdm2MXPmTB0/flxJSUn67bffFBISYlf+6KOPKjY2VhcuXNDq1atVsWJFq2zAgAE6ffq0oqKiVLNmTSv/4Ycf1sKFC3N2Z5FBkSJFtGTJEu3cuVNRUVHq0qWL6tevr7Vr1+rXX3/V8uXL5ePjI1dXV23bts36LAwfPlz//e9/s2z30Ucf1Y4dO7R7925NnTpVbm5uCgkJUZcuXTR48GB9++23Wdb98ssvFR0drSVLlujuu++28g8cOKD3339f69evV+fOna3/yD755JOaM2eOtV5gYKDCw8MlSY899pg2bdqk7du3a+7cuSpatGimbQHAzVq1aqWPP/5YPXv2VPHixdW8eXPt379fzZs31/Dhw9WuXTuVKlVKBw4c0OzZs2/Z3rhx4xQREWGXV6NGDX399dfq3r27ypYtq4sXL2r8+PGSpICAADVo0EA+Pj7asGGD/vOf/0iSPD09NWDAAA0ePDjndxp2GCPzZow0pMxTREREvveBRMoutWrVyhw8eNA0atTI2Gw2c88995h77rnHFC5c2PTr1880adLEHD9+3AQGBmbbTo0aNYybm5uRZKpVq2ZOnDhh6tevbyQZb29vc+7cOdOpUyfj7u5uPvnkE7N582Yjyfj4+JjY2FhTvHhx07t3b7N48WIjybi6uprNmzebSpUq5fsxutNSaGioU+t37NjRTJo0yVr29PQ0GzduNKVLlzaSTJcuXczUqVOt9zkmJsa0atXK7NixwxQuXDjTNt3d3c3hw4eNv7+/kWRmzJhh+vXrZySZadOmmWeffTbL/nTo0MH89NNPxsXFxZQrV86cPXvWWv/AgQNm4MCB1ro32nJ1dTWHDh0yRYoUMZLM+PHjzfPPP2+8vb3NL7/8YuW/9dZb5v3338+0rdw8xqSMifGRdCekjRs3mhdffDFD/qeffmq++uora7lcuXLGGGPuvffeLNvq2rWrmTNnjhkyZIiZOXOmlf/RRx+ZWbNmWcv33nuvSUlJMcWKFTNdunQxw4cPN5LME088YX788UcjyXz55ZemW7du+X587sTEGFnwxkjOTAJ3sA8++EDDhg3T1q1bZYzR8ePHdfz4cV29elVjx47Vxo0bHZr1LCYmRleuXJEkGWNkjFGVKlUkSR07dlR0dLS+//57paSkaOjQoapTp46qVaumihUrKjIyUsnJyVq1apXuvfdeSdefAxUeHq5Dhw7l3s5DkhQVFaVWrVpp5MiRatq0qSpUqKBatWpp5cqVioyM1HvvvSdfX19J19/nmTNnavHixXrxxRd19erVTNusVq2aDhw4oPj4eEnSjBkz1Lx5c4f607x5c82ePVtpaWk6ceKEVq9ebVee/r+rN6Smpmr58uV6+umnredcLVq0SI0bN1aNGjW0ceNGRUZGKjg4WJUqVcq2LQCQrl/a9+CDD6pMmTKKj4/XkSNH9OWXX8rDw0M2m81uxsobr2vVqpVpW8WLF9ewYcP05ptvZiirWbOmdu3aZS3v379fV65cUdWqVRUdHa1mzZrJw8NDLVu2VHR0tBo0aKBq1ao5dCYUfx1jZO4rlCdbAZDjbgyU4eHhio+Pl4eHh3744QcNHDjwtq7THzdunF544QUVKVJEO3bs0NKlSyVlHCgvXryo33//XTVr1tTatWtVu3ZtlShRQq1atVJ0dLR8fX0VFBSkhx9+OMf2FVmLj49XgwYN1KZNG40YMUIrV65UdHR0lse/du3aOnfunMqWLZtlm3/10RnGmCzLLly4kGn+nDlz1Lt3byUmJioiIkLnz5+XzWbTypUr9dxzzznVFgCULVtWbm5u6tSpk5o1a6arV69q0aJFeu+997R06VLNmTNHEydOVHx8vAYPHqy0tDQVKVIk07Y+/PBDTZ06VUePHs1QVqxYMSUlJdnlJSUlqXjx4tqxY4fmz5+vLVu2aO/everdu7cWLVqkf//733r99dfVqVMnHTlyRL17987QBnIGY2Tu48wkcIe6eaCsW7eu6tWrp/fee++22uvdu7eKFy+upk2basGCBUpJSZGU/UCZmJiojz76SKtXr1bbtm01YMAAjR07Vm+//bY6dOigtWvX6ocfflD58uX/8v4ic+XKldPFixc1a9YsjRo1So0aNVKZMmXUuHFjSVKhQoVUo0YNSVKHDh3k7e2t5s2b64svvlCJEiUybXPv3r3y8/Ozzk53795dv/zyi0P9WbdunYKCguTi4iIfHx898sgjDtVbu3at6tevr5deesn6b+qWLVvUpEkTqx933XWX/P39HWoPwD/bpUuXJF2/P+3kyZM6c+aMPv/8c7Vp00arV6/WkCFDNH/+fB06dEgHDx5UcnJypsFinTp11KpVK40ePTrT7Zw/f16enp52eZ6enkpOTpYkjRkzRnXr1lVQUJC6du2q9evXy8XFRS+//LJatmyp2NhYDRo0KIf3HjcwRuY+gkngDpXdQHm70tLStHHjRvn6+qpXr16Sbj1QhoWFWf/1q1WrllJSUhQZGalRo0bp6aef1rx58zRq1Kjb7hOyV7t2bW3btk2RkZF69913NXjwYHXq1Ekff/yxdu7cqZ07d+rhhx+Wt7e3Ro4cac1g+NVXX2ns2LGZtpmSkqKePXtq3rx52r17t9LS0jRx4kSH+rNw4ULFx8crKipKEyZMcHiATUtL05IlS9S6dWstWbJEkpSQkKAXXnhBs2fP1q5du7Rlyxbdf//9jh0YAP9o586d05EjR7I8CzR+/HhVrVpVZcuW1fz581WoUCHt2bMnw3otWrSQn5+fDh8+rBMnTmjAgAF69tlntX37dklSdHS06tSpY61fuXJlubu7Ky4uzq6du+++W6+88oqGDRumWrVqaffu3bp27ZoiIiL0wAMP5OCeIz3GyLyR7zfTFtTEBAOkgp4OHz5sunfvbi137NjR7Nixw26dI0eO3HICnpvT5MmTzZgxY4wk89JLL5kNGzZYZUWKFDEXLlww1apVs6vj4eFhdu7cacqVK2caNmxoNm7caCSZqlWrmujo6Hw/VndKYnIYjvGdkBgfSXdC+uCDD8y2bdtMmTJljJeXl1m3bp0ZNmyYcXd3NzVr1jSSTIUKFcyaNWvMRx99lGkbd911lylbtqyVPv30UzNv3jxrApcaNWqYpKQk07RpU1OkSBEzc+ZMM3v27AztfPvtt6Z9+/ZGkgkICDBxcXGmaNGiZvjw4ebLL7/M92N1pyT+fhe8Y5ynZybd3d21detW7dy5U3v27NHQoUMlSX5+ftqyZYvi4uIUFhamwoULS5Lc3NwUFham+Ph4bdmyxe6m0kGDBik+Pl579+7V448/buU/8cQT2rt3r+Lj4/X2229b+VltA7iTTZs2Ta+//rrKlCkjLy8v9e/f3/qPlZubm9zd3TO8vlmZMmXUtWtXFS1aVC4uLnr88cfVrVs366bwhQsXqlatWurYsUdWLjAAACAASURBVKPc3d01ePBg7d69W7/99ptdO++9956mT5+uEydO6PDhw6pWrZruvvtuPfLII9q/f38uHgUAADL68MMPFRERobi4OMXGxioyMlIfffSRPDw89N133+n8+fPatm2bNm/erPfff9+q95///MeaN+DSpUv6448/rHT+/HldvnxZCQkJkq5P2vLqq69q1qxZOnXqlIoXL67XXnvNrh8tWrSQl5eXfvjhB0lSRESEfvzxRx05ckSPPPKIRo4cmUdHBMh5Nl2PKvNM0aJFdeHCBRUqVEgbNmxQv3799MYbb2jBggWaM2eOJkyYoF27dmnixInq1auXHnjgAfXq1Utdu3ZVhw4dFBQUpOrVq2v27Nlq2LCh7rnnHq1atUpVq1aVJMXFxemxxx7T0aNHFRERoW7duik2NlZz5szJdBvZiYiIUEBAQF4cFtzhZj/xn3zZrs3VRfVffUqVHqmj1CvXdGR9lHZOWa60q9f09IyBKlq2pN36i4M/0YU/zqlG10CVruWnde/PkHuJomry7nPyutdHNptNF06dU9yiTdq//FerXtl6VdTgtWdU5G4vJf52RFs/+14X/jhnlRf3La3Gb3XRqv4TZdLSJEn3d2qm6p2b6/K5C9o0YraSDv6RNwclnW4rRuT5Nv+q0NBQ9ejRI8+2t2DBAlWuXNku7+2339ZPP/2Ubb1atWpleHB3SkqKdR9KQZbXx/jviPERzsivMRJZuxPHR4kxMi84e4zzfDbXGzMLFS5cWIULF5YxRo8++qg1E9GMGTM0dOhQTZw4Ue3atbPOXn7//ff66quvJEnt2rVTWFiYrly5ooMHD2rfvn1q2LChJGnfvn06cOCApOv3crVr106xsbFZbgO4k5nUNG0fF67t48IzlC0O/jTLejFzfpHmXL9OPyXpgla/NTnb7fwR+buWvpT55AOSlHw0QSv7jrfL2/v9eu39fn227SL/dezY8bbq7dmzR/Xq1cvh3gAAUHAwRt5ank/A4+LiosjISJ06dUorV67U77//rnPnzlnPwjt69Kg182P58uV15MgRSdefsZKUlCRvb2+7/PR1ssr39vbOchsAAAAAAOfleTCZlpamevXqydfXVw0bNlT16tUzrHNj5q3MnuNijMmx/My89NJLioiIUEREhEqXLn3L/QEAAACAf6J8ezRIUlKS1q5dq8aNG8vLy0uurq6SJF9fXx0/flzS9TOIFSpUkCS5urqqRIkSSkxMtMtPXyer/ISEhCy3cbPJkycrICBAAQEB1s3VAAAAAAB7eRpMli5d2noAqIeHh1q1aqXY2FitWbNGnTp1kiQFBwdr0aJFkqTw8HAFBwdLkjp16mTNLhkeHq6goCC5ubnJz89P/v7+2rZtmyIiIuTv7y8/Pz8VLlxYQUFBCg+/fi9ZVtsAANi7du2aIiMjrZR+Ju2cFhwcrC+//DLX2gcAICcxRtrL0wl4ypUrpxkzZsjV1VUuLi6aO3eufvzxR8XExCgsLEz//e9/FRkZqalTp0qSpk6dqpkzZyo+Pl6JiYkKCgqSdH0a5rlz5yomJkbXrl1T7969lfb/Z5Ds06ePVqxYIVdXV33zzTeKiYmRdH3mpcy2AQAF2TOV+uVoe+GHMn8Ic3qXLl36x0wcAAC4czFG5r88DSajoqJUv379DPkHDhxQo0aNMuSnpKSoS5cumbY1fPhwDR8+PEP+smXLtGzZMoe3AQC4NRcXF40cOVItWrSQu7u7xo0bp0mTJikwMFAffPCB/vjjD9WtW1cLFixQVFSU+vXrp7vuukvt27fX/v379dRTT+m9996Tm5ubzpw5o+eff16nTp2y20bp0qU1ceJEVaxYUZLUv39/bdq0KT92FwAAh/2Tx8h8u2cSAFAw3XXXXdblOwsWLJAkhYSEKCkpSQ0bNlRAQIBeeukl+fn5SZLq1Kmjfv36qXbt2urevbuqVq2qRo0aacqUKXr99dclSRs2bFDjxo1Vv359hYWF6a233sqw3bFjx2r06NFq2LChnn32WU2ZMiXP9hkAAEcwRtrL8+dMAgAKtswu4Xn88cf1wAMPWPeelyhRQv7+/rpy5YoiIiJ08uRJSdLvv/9uPcw5KipKjzzyiKTrE5/NmTNH5cqVk5ubm/U84PRatWqlGjVqWMuenp4qVqyYzp8/nyv7CQCAsxgj7RFMAgBuyWaz6fXXX7cGwRsCAwOVkpJiLaelpVnLaWlpKlTo+jDz5Zdf6vPPP9fixYsVGBiooUOHZtiGi4uLHnroIV2+fDn3dgQAgBz2Tx4jucwVAHBLK1asUK9evayBz9/fX0WKFHG4fokSJXTs2DFJsmbpvtlPP/2kPn36WMt16tT5Cz0GACBv/JPHSIJJAMAtTZkyRTExMdqxY4eioqL09ddfW4OmI4YOHap58+Zp3bp1WT7Dt2/fvnrwwQe1a9cuRUdH69VXX82p7gMAkGv+yWOkTZLJ704UVBEREQoICMjvbuAOMPuJ/+R3F5CJbitG5HcXnBYaGqoePXrkdzf+1jjGfx3jI5zBGFnw3Injo8Tf77zg7DHmzCQAAAAAwGkEkwAAAAAApxFMAgAAAACcRjAJAAAAAHAawSQAAAAAwGkEkwAAAAAApxFMAgDsGGMUGhpqLbu6uurUqVNavHhxtvUCAwNvuQ4AAHcyxkh7jj9NEwCQ53L6+WyOPFvs/PnzqlWrljw8PHT58mU99thjOnbsWI72AwCAv4oxMv9xZhIAkMGyZcvUtm1bSVK3bt00e/ZsqywgIEAbN27Ujh07tHHjRlWtWjVD/SJFimjq1Knatm2bduzYoWeeeSbP+g4AQG5ijPwfgkkAQAZhYWEKCgqSu7u7HnjgAW3dutUq27t3r5o3b6769etr8ODBGj58eIb67777rlavXq2GDRvqkUce0aeffqoiRYrk5S4AAJArGCP/h8tcAQAZREVFyc/PT926ddPSpUvtykqUKKEZM2bI399fxhgVLlw4Q/3HH39czzzzjAYMGCBJ8vDwUMWKFbV379486T8AALmFMfJ/CCYBAJkKDw/XqFGj1KJFC3l7e1v5H374odasWaOOHTuqUqVKWrt2bYa6NptNzz77rOLi4vKwxwAA5A3GyOu4zBUAkKlvvvlGw4YN0549e+zyS5QoYU028MILL2Rad8WKFXr99det5bp16+ZaPwEAyGuMkdcRTAIAMnXs2DF98cUXGfI/+eQTjRgxQhs2bJCrq2umdT/88EMVLlxYu3fvVlRUlD788MPc7i4AAHmGMfI6myST350oqCIiIhQQEJDf3cAdIKenpkbOcGSK74ImNDRUPXr0yO9u/K1xjP86xkc4gzGy4LkTx0eJv995wdljzJlJAAAAAIDTCCYBAAAAAE4jmAQAAAAAOI1gEgAAAADgNIJJAAAAAIDTCCYBAAAAAE4jmAQA2DHGaNSoUdbym2++qSFDhmRbp127dqpevXqmZdOmTdOzzz6bo30EACA/MEbaK5TfHQAAZO3kFwNztD2fvp/ecp3Lly+rY8eOGjFihM6cOeNQu+3bt9eSJUsUGxv7V7sIAIBDGCPzH2cmAQB2rl27pkmTJun//u//MpRVrFhRq1at0q5du7Rq1SpVqFBBDz30kJ555hl9+umnioyM1L333ptl28OGDdO0adNks9l04MABDR06VNu3b9fu3btVrVo1SVLJkiW1cOFC7dq1S5s3b1bt2rUlSbt371aJEiUkSQkJCerevbuk6w9YbtmypYKDgzV//nwtW7ZMcXFx+vjjj3P60AAA/uEYI+0RTAIAMhg3bpyef/55eXp62uV/9dVXCg0NVZ06dTRr1ix98cUX2rx5s8LDwzVw4EDVq1dP+/fvz7TNjz/+WHfffbd69uwpY4yk6wNegwYNNGHCBA0YMECS9MEHHygyMlJ16tTRO++8o9DQUEnSxo0b1aRJE9WsWVP79+9Xs2bNJEmNGzfWli1bJEl169ZV165dVbt2bXXt2lW+vr65cnwAAP9cjJH/QzAJAMggOTlZoaGh6tu3r13+Qw89pO+++06SNHPmTDVt2tSh9t5//315eXnp1VdftctfsGCBJGn79u3y8/OTJDVt2lQzZ86UJK1Zs0be3t7y9PTU+vXr1bx5czVv3lwTJkxQ7dq1dc899ygxMVEXLlyQJP3888/6888/lZKSopiYGFWqVOm2jwEAAJlhjPwfgkkAQKbGjBmjkJAQFS1aNMt1bvz39FYiIiLUoEEDlSxZ0i4/JSVFkpSamqpCha7fxm+z2TLdzrp169SsWTM1a9ZMa9eu1enTp9WpUyetX78+Q3s3twkAQE5ijLyOYBIAkKmzZ89q7ty5CgkJsfI2bdqkoKAgSdLzzz+vDRs2SLr+X9rixYtn2dby5cs1cuRI/fjjjypWrFi22123bp2ef/55SVJgYKASEhKUnJyso0ePqnTp0vL399eBAwe0YcMGDRgwwG6gBAAgLzBGXkcwCQDI0meffabSpUtby3379lXPnj21a9cude/eXf369ZMkhYWFaeDAgdqxY0eWkwt8//33mjx5ssLDw+Xh4ZHlNocOHaoHH3xQu3bt0siRIxUcHGyVbd26VXFxcZKk9evXq3z58tZgDQBAXmKMlGySHDv/+g8UERGhgICA/O4G7gCzn/hPfncBmei2YkR+d8FpoaGh6tGjR35342+NY/zXMT7CGYyRBc+dOD5K/P3OC84eY85MAgAAAACcRjAJAAAAAHAawSQAAAAAwGkEkwBQgBhj5Orqmt/d+NtydXV1eKp2AEDBwhiZu25njCSYBIAC5ODBg2rbti2DZS5wdXVV27ZtdfDgwfzuCgDgNjBG5p7bHSN5mjMAFCBjxoxR//799eyzz2b6YGLcPmOMDh48qDFjxuR3VwAAt4ExMvfc7hhJMAkABcjZs2c1ZMiQ/O4GAAAFDmNkwcNlrgAAAAAApxFMAgAAAACcRjAJAAAAAHAawSQAAAAAwGkEkwAAAAAApxFMAgAAAACcRjAJAAAAAHAawSQAAAAAwGkEkwAAAAAApxFMAgAAAACcRjAJAMAdwMXFRTt27NDixYslSX5+ftqyZYvi4uIUFhamwoULS5Lc3NwUFham+Ph4bdmyRZUqVbLaGDRokOLj47V37149/vjjVv4TTzyhvXv3Kj4+Xm+//Xbe7hgA4I5FMAkAwB2gX79+io2NtZY//vhjjR49WlWrVtXZs2cVEhIiSQoJCdHZs2fl7++v0aNH6+OPP5YkVa9eXUFBQapZs6aefPJJjR8/Xi4uLnJxcdG4cePUunVr1ahRQ926dVP16tXzZR8BAHcWgkkAAAq48uXLq23btpoyZYqV9+ijj+r777+XJM2YMUPt27eXJLVr104zZsyQJH3//fdq2bKllR8WFqYrV67o4MGD2rdvnxo2bKiGDRtq3759OnDggK5evaqwsDC1a9cuj/cQAHAnIpgEAKCAGzNmjN566y2lpaVJkry9vXXu3DmlpqZKko4ePary5ctLuh54HjlyRJKUmpqqpKQkeXt72+Wnr5NVPgAAt0IwCQBAAda2bVudOnVKO3bssPJsNluG9Ywx2ZY5m3+zl156SREREYqIiFDp0qWd2gcAwN9TofzuAAAAyFqTJk30zDPPqE2bNvLw8JCnp6fGjBkjLy8vubq6KjU1Vb6+vjp+/Lik62cWK1SooGPHjsnV1VUlSpRQYmKilX9D+jpZ5ac3efJkTZ48WZIUERGRm7sMALhDcGYSAIAC7J133lGFChVUuXJlBQUFafXq1frXv/6lNWvWqFOnTpKk4OBgLVq0SJIUHh6u4OBgSVKnTp20evVqKz8oKEhubm7y8/OTv7+/tm3bpoiICPn7+8vPz0+FCxdWUFCQwsPD82dnAQB3lDwNJn19fbV69WrFxMRoz5496tu3ryRpyJAhOnr0qCIjIxUZGanWrVtbdZydxvx2pkoHAOBO8/bbb+uNN95QfHy8vL29NXXqVEnS1KlT5e3trfj4eL3xxhsaNGiQJCkmJkZz585VTEyMli9frt69eystLU2pqanq06ePVqxYodjYWGsdAABuxSYp440RucTHx0flypVTZGSkihUrpu3bt6t9+/bq0qWLzp8/r88++8xu/erVq2v27Nlq2LCh7rnnHq1atUpVq1aVJMXFxemxxx7T0aNHFRERoW7duik2NlZz5szRggULNGfOHE2YMEG7du3SxIkT1atXLz3wwAPq1auXunbtqg4dOigoKCjb/kZERCggICDXjgf+PmY/8Z/87gIy0W3FiPzuAvC3xPgIZzBGFjyMj8gpeXpm8uTJk4qMjJQknT9/XrGxsdnOGHc705g7O1U6AAAAAMB5+XbPZKVKlVSvXj1t3bpVktSnTx/t2rVLU6dOlZeXlyQ5PY357UyVDgAAAABwXr4Ek0WLFtX8+fPVv39/JScna8KECapSpYrq1q2rEydOWJe75uT05kx9DgAAAAA5J8+DyUKFCmn+/PmaNWuWFi5cKEk6deqU0tLSZIzR5MmT1bBhQ0nKchrzrPITEhKsqdLT59/cVvqp0m82efJkBQQEKCAgQAkJCblzEAAAAADgDpfnweTUqVMVGxur0aNHW3k+Pj7W6w4dOmjPnj2Sbm8ac2enSgcAAAAAOK9QXm6sSZMm6tGjh3bv3m1NxPPOO++oW7duqlu3rowxOnjwoF555RVJ9tOYX7t2zZrGXJI1jbmrq6u++eYbaxrzt99+W2FhYfrvf/+ryMhIu6nSZ86cqfj4eCUmJt5yJlcAAAAAQNby9NEgdxqmPoejmPa8YGLqcyB3MD7CGYyRBQ/jI3JKvs3mCgAAAAC4cxFMAgAAAACcRjAJAAAAAHAawSQAAAAAwGkEkwAAAAAApxFMAgAAAACcRjAJAAAAAHAawSQAAAAAwGkEkwAAAAAApxFMAgAAAACcRjAJAAAAAHAawSQAAAAAwGkEkwAAAAAApxFMAgAAAACcRjAJAAAAAHAawSQAAAAAwGkEkwAAAAAApxFMAgAAAACcRjAJAAAAAHAawSQAAAAAwGkEkwAAAAAApxFMAgAAAACcRjAJAAAAAHAawSQAAAAAwGkEkwAAAAAApxFMAgAAAACcRjAJAAAAAHAawSQAAAAAwGkEkwAAAAAApxFMAgAAAACcRjAJAAAAAHAawSQAAAAAwGkEkwAAAAAApxFMAgAAAACc5lAw+fDDD+v//u//1KpVK0nSk08+qb179+rMmTP69ttvVaRIkVztJAAAAACgYHEomBw4cKA+/fRT+fr6ys3NTbNmzZK/v7+8vLwUFBSk999/P7f7CQAAAAAoQBwKJuvVqydJWrt2rRo1aiQvLy/t3btX4eHhstls6tChQ652EgAAAABQsDgUTJYpU0aSdPToUdWuXVvGGH322WcKDg6WJJUvXz73eggAAAAAKHAcCiYvXbok6XrQ+OCDD0qS4uLidO3aNUlSampqLnUPAAAAAFAQFXJkpfj4eAUEBGjnzp0qVqyYrl27pp07d6pixYqSpBMnTuRqJwEAAAAABYtDZyY///xzSZKnp6dcXFwUGhqq8+fP68knn5Qkbd68Ofd6CAAAAAAocBw6Mzlv3jwdPnxYDz/8sA4dOqQFCxZIkiIjI9WzZ09FRETkaicBAAAAAAWLQ8Fk9+7dJUmjR4+2y//ll19UuXLlnO8VAAAAAKBAcyiYnD59utLS0jRz5swMZfv27VNaWpoKFy6c450DAAAAABRMDt0zKUk2my1Dnru7e5ZlAAAAAIC/ryzPTD7zzDNq166dXd7UqVPtlu+77z5JUnJyci50DQAAAABQUGUZTNatW1fBwcHWss1ms1tOb/v27TnfMwAAAABAgZXtPZM3Ll81xtgt33D27FlFRESob9++udQ9AAAAAEBBlGUwOWzYMA0bNkySlJqaKmOMXF1d86xjAAAAAICCy6HZXB955JHc7gcAAAAA4A7iUDC5bt06ubi46KGHHlKFChWsWVzTy+yxIQAAAACAvyeHgsl69eppwYIFqlChQqblxhiCSQAAAAD4B3EomBw/frwqVqyY230BAAAAANwhHAoma9euLWOMZsyYoblz5+ry5cvWDK8AAAAAgH8eh4LJgwcP6v7771f//v2VnJyc230CAAAAABRwLo6sNHjwYElSr169crUzAAAAAIA7g0NnJvv06aPk5GQNHz5cffv21e+//65r165Z5cYYtWrVKtc6CQAAAAAoWBwKJgMDA2WMkc1mU7ly5eTj42OV2Ww27p8EAAAAgH8Yh4LJw4cPEzACAAAAACwO3TNZuXJl3XvvvdkmR/j6+mr16tWKiYnRnj171LdvX0lSyZIl9dNPPykuLk4//fSTvLy8rDpjx45VfHy8du3apXr16ln5PXr0UFxcnOLi4tSjRw8rv379+tq9e7fi4+M1duxYKz+7bQAAAAAAnONQMJmeu7u73WWuzrh27ZrefPNN1ahRQ40bN1bv3r1VvXp1DRo0SD///LOqVq2qn3/+WYMGDZIktW7dWv7+/vL399fLL7+sCRMmSLoeGA4ZMkSNGjVSw4YNNWTIECs4nDBhgl5++WWr3pNPPilJWW4DAAAAAOA8h4PJxo0ba+PGjTp//ryOHDki6fpZw6lTp6pmzZoOtXHy5ElFRkZKks6fP6/Y2FiVL19e7dq104wZMyRJM2bMUPv27SVJ7dq1U2hoqCRp69at8vLyko+Pj5544gmtXLlSZ8+e1blz57Ry5Uo9+eST8vHxkaenp7Zs2SJJCg0NtWsrs20AAAAAAJzn0D2T9erV0+rVq+Xm5mY34U5qaqqCg4OVmJiogQMHOrXhSpUqqV69etq6davKli2rkydPSroecN59992SpPLly1uBqyQdPXpU5cuXzzb/6NGjGfIlZbkNAAAAAIDzHDozOWzYMLm7u2vv3r12+dOnT5fNZnP6sSBFixbV/Pnz1b9/fyUnJ2e5ns1my5B3Y1ZZZ/Kd8dJLLykiIkIREREqXbq0U3UBAAAA4J/CoWCySZMmMsaoTZs2dvmxsbGSpIoVKzq8wUKFCmn+/PmaNWuWFi5cKEn6448/rPswfXx8dOrUKUnXzyxWqFDBquvr66vjx49nm+/r65shP7tt3Gzy5MkKCAhQQECAEhISHN4vAAAAAPgncSiY9PDwkCSdOHHCLv/Gmbsb5Y6YOnWqYmNjNXr0aCsvPDxcwcHBkqTg4GAtWrTIyr8xU2ujRo2UlJSkkydPasWKFXr88cfl5eUlLy8vPf7441qxYoVOnjyp5ORkNWrUSNL1GV/Tt5XZNgAAAAAAznPonskDBw6oWrVq6tKli5Xn6empzz//XJK0f/9+hzbWpEkT9ejRQ7t377Ym4nnnnXc0cuRIzZ07VyEhITp8+LA6d+4sSVq6dKnatGmjffv26eLFi+rZs6ck6ezZs/rwww8VEREh6fpluGfPnpUk9erVS9OnT9ddd92lZcuWadmyZZKU5TYAAAAAAM5zKJgMCwvT0KFDNWPGDOsexISEBLm4uMgYo7CwMIc2tnHjxkzva5SU5X2Xffr0yTR/2rRpmjZtWob87du3q3bt2hnyExMTnb63EwAAAACQOYcucx05cqTWrl0rm81mJVdXV9lsNq1bt06ffPJJbvcTBcDMmTN1/PhxJSUl6bffflNISIhV1rlzZ8XExOjPP/9UdHS02rVrl2U706ZNU0pKipKTk63k4nL9o1ipUiUZY+zK3nvvPavugAEDdPr0aUVFRdk9kubhhx+27sEFAAAAkPscOjN59epVPfbYY3ruuef05JNPqkyZMkpISNDy5cv13XffKTU1Nbf7iQJgxIgRCgkJ0ZUrV1StWjWtXbtWkZGROnnypL799lu1a9dOy5cvV5s2bTRv3jz5+fnp9OnTmbb1ySef6P33389yW15eXhk+Vz4+PgoJCdG9996rHj16aOTIkXr66afl6uqqzz77TEFBQTm6vwAAAACy5lAwKUlpaWn69ttv9e233+Zmf1CAxcTEWK+NMTLGqEqVKipUqJDOnTun5cuXS7p+r+uFCxdUpUqVLIPJ21GxYkVFRkYqOTlZq1at0muvvSZJ6t+/v8LDw3Xo0KEc2xYAAACA7GUZTHbv3t2phmbOnPmXO4OCb9y4cXrhhRdUpEgR7dixQ0uXLtWlS5cUGxurp59+Wj/++KOefvpppaSkaPfu3Vm289prr+m1117TgQMHNHz4cC1YsMCu/NChQzLGaOXKlRo4cKDOnDmjffv2qXbt2ipRooRatWql6Oho+fr6KigoSA8//HBu7zoAAACAdLIMJqdPn25NtnMrxhiCyX+I3r176/XXX9dDDz2kFi1aKCUlRWlpaQoNDdV3330nDw8PXblyRZ07d9bFixczbeOLL77Qm2++qaSkJD3++OOaM2eOTp48qU2bNikhIUEPPvigdu7cKW9vb40bN06zZs3Sk08+qcTERH300UdavXq1/vjjD7366qsaO3as3n77bXXo0EGvvfaazp07p969e+vYsWN5fGQAIHe4u7tr3bp1cnd3V6FChfT9999r6NCh8vPzU1hYmEqVKqUdO3aoe/fuunr1qtzc3BQaGqoGDRrozJkz6tq1q3XlxqBBgxQSEqLU1FT17dtXP/30kyTpiSee0NixY+Xq6qopU6bo448/zs9dBgDcIbKdgCf9hDu3SvjnSEtL08aNG+Xr66tevXqpZcuW+uSTT9SiRQu5ubkpMDBQU6ZMUZ06dTKtHxkZqcTERKWmpmrZsmWaNWuWOnbsKEm68P/Yu/O4Ksv8/+PvA7jmguVCAYlTaC65VEilDbiEWJaWlpqTVKaNjZW/akZtw6VJ28ZsvkaNqaAt5pQmM2mAuLWooZmmqICigGwaiCCKitfvDx7cAwJ6joEc5fV8PO7HQ677Ovf9uW6OXOd97vvc5/hxbd26VcXFxcrOztaECRM0YMAANW3aVFLJnYVvec6C2QAAIABJREFUvfVW3XPPPerSpYuKioq0bds2vfPOO7rvvvv073//W++8884lOxYAUNOKiorUt29fde/eXd27d1dwcLD8/f315ptvavbs2Wrfvr1yc3Otm6KNGTNGubm58vX11ezZs61g2LFjR40YMUKdO3dWcHCwPvjgA7m4uMjFxUVz587VwIED1alTJ40cOVIdO3aszSEDAC4TVYbJPn36WMuQIUOUmZmpHTt26IknnlBwcLCeeOIJ7dixQ0eOHNGwYcMuZc1wEm5ubrrhhhvUvXt3bdiwQVu3bpUxRlu2bNHmzZvt/ioWY0yVb0iUnh0/d33Dhg31xhtv6IUXXpCvr69SU1OVn5+vuLg4de3a9fcNDACczPHjxyVJ9erVU7169WSMUd++ffXll19KkiIiIjRkyBBJ0uDBgxURESFJ+vLLL9WvXz+rfcmSJTp16pQOHDigpKQk9ezZUz179lRSUpKSk5N1+vRpLVmy5Lx35AYAoFSVYXLDhg3W8uCDD6pNmzYaNGiQIiIiFBMTo4iICN13331q2bKldVYJV65WrVpp+PDhuuqqq+Ti4qKgoCCNHDlSa9asUVxcnO666y7rTGT37t111113VfmZyaFDh+qqq66SzWbT3XffrT/96U+KjIyUJPXs2VPt27eXzWbT1Vdfrffff19r167VsWPHym3jlVdeUXh4uDIyMpSSkqIOHTqodevW6tOnj/bv31+zBwMALjEXFxdt27ZN2dnZiomJ0b59+3T06FHrrtdpaWny9PSUJHl6eio1NVWSVFxcrLy8PF1zzTXl2ss+pqp2AAAuxK67uT7wwAOSpEaNGpVrb9y4sSTp/vvvr+ay4GyMMRo/frw+/PBDubi46ODBg9ZdVCVp6tSp+vLLL9WmTRsdPnxYb7zxhmJiYiRJjzzyiF566SV16dJFkvTcc89p/vz5stlsSk5O1tixY7V+/XpJ0h/+8Ae98cYbat26tY4dO6aYmBiNHDmyXC3t27dXUFCQ7rjjDklSZmamZs2apV27dik7O1vDhw+/VIcFAC6Js2fPqkePHmrevLmWL19e6WWoVV3JUbquqvbS7/mtbFtljR07VuPGjZMktWzZ0uExAACuPHaFyaKiIjVp0kTR0dH6+OOPdejQIXl6eurJJ5+01uPSub/tc7Wy33+ELJe0vEzLVVYtqf+VXvjv/5XrX7qu4AfppXvnWT+/8+hXkr4q09PDWle4UZrYZ0657fg3HCG1LdNQJL3+0Ke612uC1ZTw79Ma8+/XJUl/UD/9oW2/ix4nADirvLw8rVu3Trfffrvc3d3l6uqq4uJieXl5KT09XVLJmUVvb28dOnRIrq6uat68uXJycqz2UmUfU1V7WfPmzdO8efMkSXFxcTU5TADAZeK8N+AptWDBAtlsNl1//fWaPn265s+fr+nTp6tt25JX+PPnz6/RIgEAqKtatmyp5s2bSyr5vHj//v21e/durV271rpnQUhIiFasWCFJioyMVEhIiCRp2LBhWrNmjdU+YsQI1a9fXz4+PvL19dVPP/2kuLg4+fr6ysfHR/Xq1dOIESOsq04AADgfu85MvvTSSzp16pQmTpyoJk2aWO0FBQWaPXu2pk2bVmMFAgBQl1177bWKiIiQq6urXFxctHTpUn3zzTeKj4/XkiVL9Prrr2vbtm3WG7vz58/X4sWLlZiYqJycHI0YMUKSFB8fr6VLlyo+Pl5nzpzRX/7yF509e1aSNGHCBEVFRcnV1VULFixQfHx8rY0XAHD5sEmy78skJTVr1kxdu3bVtddeq4yMDO3YsaPCjVGuJHFxcfLz86vtMiqorctcUbWRNzWu7RJQiZFRM2u7BOCK5KzzI5zT5wOm1HYJOAfzI6qLXWcmSx07dkzff/99TdUCAAAAALhMVBkmY2NjZYxR//79FRsbe96NlPYDAAAAANQNVYbJwMBA69bgZf99LpvNVuU6AAAAAMCVqcowmZKSYn0wPyUlhcAIAAAAALBUGSbbtWtX6b8BAAAAALDreyYBAAAAACjLrjD57rvvat++fZo4cWK59okTJ2rfvn16++23a6Q4AAAAAIBzsitMDhkyRG3btlVkZGS59q+//lo+Pj564IEHaqQ4AAAAAIBzsitMXnfddZKkjIyMcu1ZWVnl1gMAAAAA6ga7wuTx48clSQMGDCjXXvpz6XoAAAAAQN1Q5d1cy9q8ebOCg4O1aNEihYWFae/everQoYP+/Oc/yxijzZs313SdAAAAAAAnYleYfOeddzRgwAA1btxYL7zwgtVus9l09uxZbsADAAAAAHWMXZe5rl27Vk8++aSOHTsmm81mLXl5eXryySe1fv36mq4TAAAAAOBE7DozKUnh4eFaunSp7rzzTrVq1UqHDx/Wjz/+qMLCwpqsDwAAAADghOwOk5JUWFio1atX11QtAAAAAIDLhF2XuX722Wc6c+aMpkyZUq590qRJOnPmjD799NMaKQ4AAAAA4JzsCpO9e/eWJC1atKhc+yeffCKbzWatBwAAAADUDXaFydatW0uS8vLyyrWX/ly6HgAAAABQN9gVJnNzcyVJw4cPL9de+vPRo0eruSwAAAAAgDOz6wY833//vR588EGFhYUpKChIe/fuVYcOHfTAAw/IGKPvvvuupusEAAAAADgRu8LkG2+8ofvuu09ubm4aOnSo1W6z2XTq1Cn9/e9/r7ECAQAAAADOx67LXLdt26ZBgwYpOTlZNpvNWpKSkjRo0CBt3769pusEAAAAADgRu79ncvXq1fL19dWNN96oVq1a6fDhw0pKSqrJ2gAAAAAATsruMFkqKSnJCpFdunTR8OHD9dBDD+mmm26q9uIAAAAAAM7J4TDZsWNHDR8+XA8//LDat29fEzUBAAAAAJycXWGyQ4cOevjhh/Xwww+rY8eOkkpuvlOKrwYBAAAAgLqlyjB54403WgGyS5cuVnvZEGmM0dChQ7Vy5cqarRIAAAAA4FSqDJN79+6VMaZceMzIyNA333yj+Ph4/eMf/5AkrVixouarBAAAAAA4lQte5mqM0aeffqo5c+bo559/liR16tSpxgsDAAAAADgvuz4zOWrUKHXr1k0rVqxQZGSkTp48WdN1AQAAAACcmEtVK/7xj38oJSVFNptNNptNXbp00csvv6zNmzfru+++u5Q1AgAAAACcTJVh8q9//av+8Ic/6I477tB7772nQ4cOWcGyefPmMsZIKvkc5XvvvXfJCgYAAAAA1L4qw2Spn376SS+88ILatm2r3r1765///KfS09OtYNm6dWtNmDDhUtQKAAAAAHASFwyTZW3cuFETJ06Ut7e3AgIC9MEHHygrK6umagMAAAAAOCmHwmRZ33//vZ555hldd9116tevX3XWBAAAAABwchcdJstav359dWwGAAAAAHCZqJYwCQAAAACoWwiTAAAAAACHESYBAAAAAA6rMkw++uijevTRRyVJ3t7e8vb2vmRFAQAAAACcm1tVK8LDw3X27FktXrxYBw4c0NmzZ1WvXr1LWRsAAAAAwElVeWbSGCObzaYmTZpIkmw22yUrCgAAAADg3Ko8M5mVlaU2bdrowIEDVtu+ffsq7WuM0Y033ljtxQEAAAAAnFOVYTI6OlqjR49WixYtJJWcmfTx8am0rzGmRooDAAAAADinKsPkM888o+zsbHXv3l39+/eXMUYbNmy4lLUBAAAAAJxUlWGyoKBAkyZNkiQVFxdLkvr27XtpqgIAAAAAODW7vmfS1dVVbm4lubN+/fry8PBQgwYNarQwAAAAAIDzsitMSlL37t0VGxur/Px8paWlKT8/X7GxserRo4fdO5s/f76ysrL066+/Wm2hoaFKS0vTtm3btG3bNg0cONBaN3nyZCUmJmrPnj0KCgqy2gcMGKA9e/YoMTHROnsqST4+Ptq0aZMSEhK0ZMkS66tM6tevryVLligxMVGbNm1S27Zt7a4ZAAAAAFCRXWGyU6dO+u677xQQECA3NzfZbDa5uroqMDBQGzZsUOfOne3aWXh4uIKDgyu0z549Wz169FCPHj20atUqSVLHjh01YsQIde7cWcHBwfrggw/k4uIiFxcXzZ07VwMHDlSnTp00cuRIdezYUZL05ptvavbs2Wrfvr1yc3M1ZswYSdKYMWOUm5srX19fzZ49W2+++aZd9QIAAAAAKmdXmJw6daoaN24sY4zWrVunTz75ROvWrdPZs2fVqFEjhYaG2rWz7777Tjk5OXb1HTx4sJYsWaJTp07pwIEDSkpKUs+ePdWzZ08lJSUpOTlZp0+f1pIlSzR48GBJJZ/p/PLLLyVJERERGjJkiLWtiIgISdKXX36pfv362VUDAAAAAKBydoXJgIAAGWM0bNgw9evXTyEhIerXr5+GDh0qm82mgICA31XEhAkTtH37ds2fP1/u7u6SJE9PT6Wmplp90tLS5OnpWWX7Nddco6NHj1o3CyptP3dbxcXFysvL0zXXXPO7agYAAACAusyuMNm8eXNJ0urVq8u1r1mzptz6ixEWFqYbbrhB3bt3V0ZGht59911JJd9reS5jjMPt59tWZcaOHau4uDjFxcWpZcuWDo0FAAAAAOoKu8Jkenq6JGnKlCnWXV3d3Nysm9+Urr8Y2dnZOnv2rIwxmjdvnnr27Cmp5Myit7e31c/Ly0vp6elVth85ckTu7u5ydXUt137utlxdXdW8efMqL7edN2+e/Pz85OfnpyNHjlz0uAAAAADgSmZXmIyMjJTNZtPkyZN19OhRJScn6+jRo5oyZYqMMfrPf/5z0QV4eHhY/37ggQe0c+dOa58jRoxQ/fr15ePjI19fX/3000+Ki4uTr6+vfHx8VK9ePY0YMUKRkZGSpLVr12rYsGGSpJCQEK1YscLaVkhIiCRp2LBh1hlVAAAAAMDFcbOn07Rp0xQcHCxfX181atRI119/vbUuMTFRU6dOtWtnn332mQIDA9WyZUulpqYqNDRUgYGB6t69u4wxOnDggJ566ilJUnx8vJYuXar4+HidOXNGf/nLX3T27FlJJZ+xjIqKkqurqxYsWKD4+HhJ0qRJk7RkyRK9/vrr2rZtm+bPny+p5CtJFi9erMTEROXk5GjEiBF2HyAAAAAAQEU2SZV/ePAcTZs21fPPP6+goCC1bNlSR44cUXR0tGbPnq1jx47VcJm1Iy4uTn5+frVdRgX3t32utkvAOUbe1Li2S0AlRkbNrO0SgCuSs86PcE6fD5hS2yXgHMyPqC52nZmUpPz8fE2bNk3Tpk2ryXoAAAAAAJcBuz4zCQAAAABAWYRJAAAAAIDDCJMAAAAAAIcRJgEAAAAADrvgDXhcXV3VqVMnSdL+/ft1/PjxGi8KAAAAAODcLhgmz549q61bt8pms6ldu3aESQAAAADAhS9zNcYoOTlZNptN+fn5l6ImAAAAAICTs+szk6XfLTlt2jS5udn91ZQAAAAAgCuUXcnwySefVF5eniZMmKBRo0YpISFBJ0+etNYbY9S/f/8aKxIAAAAA4FzsOjMZEBCg5s2by2az6eqrr5a/v78CAgIUEBCgwMBABQYG1nCZAAAAzmvx4sVKT09XXl6e9u7dqzFjxljr+vbtq927d+v48eNas2aNrr/++gtu749//KOMMZoxY0al62NjY2WMkaurq6SSGyZ+/vnnys3N1cqVK9WkSROr70svvaSJEyf+zhECQEV2hcmUlBSlpKTo4MGDOnjwoPVzaVtKSkpN1wkAAOC0Zs6cKR8fHzVv3lz333+/Xn/9dd1yyy265pprtGzZMr366qu6+uqrtWXLFn3xxRfn3Zabm5vmzJmjTZs2Vbr+kUceqfCxowcffFDGGLVs2VLHjh3TU089JUny8fHRfffdp3/+85/VM1AAKMOuy1zbtWtX03UAAABctuLj461/G2NkjNENN9ygW2+9Vbt27dKXX34pSZo6daqOHDmiDh06aO/evZVu64UXXlB0dLRat25dYV2zZs0UGhqq0aNHlwub7dq107p161RcXKy1a9eqa9eukqT3339fL774ooqLi6tzuAAgyc4zk2U1aNBAHh4eNVELAADAZWvu3Lk6fvy49u7dq4yMDK1cuVKdO3fW9u3brT6FhYXat2+fOnfuXOk2rr/+ej3xxBOaPn16pevfeOMNhYWFKTMzs1z7zp071bdvX9WrV099+vTRrl27NGTIEB05ckQ//PBD9Q0SAMqwO0zefvvt+uGHH1RQUKDU1FRJ0pw5czR//vwq/yACAADUFX/5y1/UtGlT9e7dW8uWLVNRUZGaNGmivLy8cv3y8vLUtGnTSrfx/vvv69VXX630e71vvfVW9erVq9JLVleuXKnk5GRt2bJFeXl5WrJkiUJDQzVp0iS9/vrrWr9+vebOnat69epVz2ABQHaGyR49emjNmjXy9/eXi4uLbDabJKm4uFghISF67LHHarJGAACAy8LZs2f1ww8/yMvLS+PHj1dBQYGaNWtWrk+zZs0q/e7uQYMGqWnTplq6dGmFdTabTR988IGee+65Ki9ZnTJlirp166annnpKkydP1ocffqjbbrtNt912mwICAlS/fn098cQT1TNQAJCdYXL69Olq0KCB9uzZU649PDxcNpuNrwUBAAAow83NTTfccIN27dqlbt26We2NGze22s/Vr18/3XbbbcrIyFBGRoaGDx+uiRMn6uuvv1azZs1022236YsvvlBGRobi4uIkSWlpaerdu3e57XTu3Fl33nmn/vWvf+nmm2/W1q1bJUlxcXHWZykBoDrYFSZ79eolY4zuueeecu27d++WJLtucQ0AAHAlatWqlYYPH66rrrpKLi4uCgoK0siRI7VmzRotX75cXbp00YMPPqgGDRrotdde044dOyq9+c6rr76q9u3bq3v37urevbsiIyM1b948Pf7448rLy9N1111nrSt9TXbrrbdq8+bN5bYzd+5cPffcczLGKDk5Wb1791a9evUUEBCg/fv3X5JjAqBusOturg0bNpQkZWRklGtv2bJlufUAAAB1jTFG48eP14cffigXFxcdPHhQEydOVGRkpCRp6NCh+r//+z998skn2rx5s0aMGGE9NiwsTJKsS2ILCgqsdSdOnNDx48eVm5srScrKyrLWlb72ysrKKnfZ6+OPP66dO3daZyOXLVumBx98UIcPH9amTZv00Ucf1dBRAFAX2SSZC3XatWuXOnTooJCQEC1atEjGGF199dX66KOP9PDDDys+Pl4333zzJSj30oqLi5Ofn19tl1HB/W2fq+0ScI6RNzWu7RJQiZFRM2u7BOCK5Kzzo8Qc6YyYI50P8yOqi12XuS5ZskQ2m00REREypiR7HjlyRA899JCMMVqyZEmNFgkAAAAAcC52hclZs2Zp3bp1stls1uLq6iqbzaYNGzborbfequk6AQAAAABOxK4wefr0ad19990KCQnR559/rtWrV2vJkiV67LHHdPfdd+v06dM1XScAAHWSl5eX1qxZo/j4eO3cuVPPPvusJKlFixaKjo5WQkKCoqOj5e7ubj1mzpw5SkxM1Pbt29WjRw+rffTo0UpISFBCQoJGjx5ttd9yyy3asWOHEhMTNWfOnEs3OADAZc2uG/BIJd+b9Mknn+iTTz6pyXoAAEAZZ86c0QsvvKBt27apSZMm2rp1q2JiYvTYY48pNjZWb775piZNmqTJkydr8uTJGjhwoHx9feXr6yt/f3+FhYXp9ttvV4sWLRQaGqrbbrtNxhht3bpVkZGROnr0qMLCwjRu3Dht2rRJK1euVHBwsL799tvaHjoAwMnZdWZSknx8fPSvf/1Lu3bt0tGjR7Vr1y599NFH8vHxqcHyAACo2zIzM7Vt2zZJUkFBgXbv3i1PT08NHjxYERERkqSIiAgNGTJEkjR48GAtWrRIkrR582a5u7vLw8NDAwYMUExMjHJzc3X06FHFxMQoODhYHh4eatasmTZt2iRJWrRokbUtAADOx64zk3fddZdWrVqlhg0bymazSZJuuukmdejQQaNGjVJwcLC+//77Gi0UAIC6rm3bturRo4c2b96sNm3aKDMzU1JJ4GzdurUkydPTU6mpqdZj0tLS5Onped72tLS0Cu0AAFyIXWcm33vvPTVq1Eg2m02pqanatGmTUlNTZbPZ1KhRI82ePbum6wQAoE676qqr9NVXX2nixInKz8+vsl/pm75lGWMcbj/X2LFjFRcXp7i4OOt7pgEAdZtdYbJjx44yxujZZ5+Vj4+PevXqJR8fH+smAJ07d67RIgEAqMvc3Nz01Vdf6dNPP9Xy5csllXxZvYeHhyTJw8ND2dnZkkrOLHp7e1uP9fLyUnp6+nnbvby8KrSfa968efLz85Ofn5+OHDlSI+MEAFxe7AqT+/btkySFh4eXay/9OSkpqVqLAgAA/zN//nzt3r273JVAkZGRCgkJkSSFhIRoxYoVVnvpnVr9/f2Vl5enzMxMRUVFKSgoSO7u7nJ3d1dQUJCioqKUmZmp/Px8+fv7Syq542vptgAAOB+7wuTkyZN19uxZPf744+XaH3vsMZ05c0ZTpkypkeIAAKjrevXqpdGjR6tv377atm2btm3bpoEDB2rWrFm6++67lZCQoLvvvluzZs2SJK1cuVL79+9XUlKS5s2bp6efflqSlJubqxkzZliXqk6fPl25ubmSpPHjx+vjjz9WUlKS9u3bp1WrVtXaeAEAlw+bpIofjJAUGxtb7ucuXbrommuuUWpqqnVJjLe3t44cOaKdO3eqf//+l6LeSyouLk5+fn61XUYF97d9rrZLwDlG3tS4tktAJUZGzaztEoArkrPOjxJzpDNijnQ+zI+oLlXezTUwMLDCB/BtNpuuv/56eXt7Wx/Yb9WqlQIDA2u0SAAAAACAc6kyTKakpFR6NzcAAAAAAKoMk+3atbuUdQAAAAAALiN23YAHAAAAAICyqjwzea4OHTrowQcflLe3txo0aFBh/ZgxY6q1MAAAAACA87IrTI4aNUrh4eHWTXcqQ5gEAAAAgLrDrjD52muvycWFK2IBAAAAACXsSojXXnutjDEaNmyYGjRoIFdX1woLAAAAAKDusCtMrlq1SpL0888/68yZMzVaEAAAAADA+dl1meuf//xneXt7a926dQoPD1dKSkqFULl48eIaKRAAAAAA4HzsCpM33nij2rVrp1atWunVV1+tsN4YQ5gEAAAAgDrErjD54YcfqlWrVue9mysAAAAAoO6wK0x26NBBkvT2229rzZo1OnnyZI0WBQAAAABwbnaFyc2bNysgIEAzZ85UXl5eTdcEAAAAAHBydoXJGTNmqGvXrvr000/19ttvV3oDntTU1BopEAAAAADgfOwKk6tXr5YkBQcHKzg4uMJ6Y4zq1atXvZUBAAAAAJyWXWGSG+8AAAAAAMqyK0xOmzatpusAAAAAAFxG7AqT06dPr+k6AAAAAACXEZfaLgAAAAAAcPmx68zkuXduPRc34AEAAACAuoUb8AAAAAAAHGZXmIyIiCj3s6urq3x8fNSrVy+dOHFCS5curZHiAAAAAADOya4w+cQTT1Ta3qdPH61evVq//PJLtRYFAAAAAHBuv+sGPGvXrlVBQYGeffbZ6qoHAAAAAHAZsOvM5KOPPlqhrWHDhgoKClKTJk2qvSgAAAAAgHOzK0yGh4fLGFPpOmOMNm3aVK1FAQAAAACcm11hUqr6jq4//fSTxo0bV20FAQAAAACcn11hsk+fPhXaioqKlJaWpkOHDlV7UQAAAAAA52bXDXg2bNhQYdm8ebPDQXL+/PnKysrSr7/+arW1aNFC0dHRSkhIUHR0tNzd3a11c+bMUWJiorZv364ePXpY7aNHj1ZCQoISEhI0evRoq/2WW27Rjh07lJiYqDlz5ti1DwAAAACA46oMk3fccYdDiz3Cw8MVHBxcrm3y5MmKjY1V+/btFRsbq8mTJ0uSBg4cKF9fX/n6+mrcuHEKCwuTVBIMQ0ND5e/vr549eyo0NNQKh2FhYRo3bpz1uNJ9VbUPAAAAAMDFqfIy1++//77Km+6cyxijevXqXbDfd999p7Zt25ZrGzx4sAIDAyVJERERWrdunSZPnqzBgwdr0aJFkqTNmzfL3d1dHh4eCgwMVExMjHJzcyVJMTExCg4O1rp169SsWTPrZkCLFi3SkCFD9O2331a5DwAAAADAxTnvZyaruulOdWrTpo0yMzMlSZmZmWrdurUkydPTU6mpqVa/tLQ0eXp6nrc9LS2tQvv59gEAAAAAuDhVhslp06ZV+aCbbrpJw4YNk4uLS40Fzsq2a4xxuN1RY8eOte5O27JlS4cfDwAAAAB1QZVhcvr06RXaunXrppdffllDhgyRq6urjDH6+uuv9cYbb1x0AVlZWfLw8FBmZqY8PDyUnZ0tqeTMore3t9XPy8tL6enpSktLsy5ZLW1ft26d0tLS5OXlVaH/+fZRmXnz5mnevHmSpLi4uIseFwAAAABcyey6m2uvXr30zTffaOvWrRo6dKiMMfrkk0/UpUsXDR06VFu3br3oAiIjIxUSEiJJCgkJ0YoVK6z20ju1+vv7Ky8vT5mZmYqKilJQUJDc3d3l7u6uoKAgRUVFKTMzU/n5+fL395dUcsfXstuqbB8AAAAAgItz3s9MDhgwQC+99JJ69eolm82moqIiLVy4UG+99ZYOHjzo8M4+++wzBQYGqmXLlkpNTVVoaKhmzZqlpUuXasyYMUpJSdFDDz0kSVq5cqXuueceJSUlqbCwUI8//rgkKTc3VzNmzLDOGk6fPt26Gc/48eMVHh6uRo0aadWqVVq1apUkVbkPAAAAAMDFsUmq9IOFW7ZsUffu3SVJxcXF+ve//613333XupHNuTIyMmqsyNoSFxcnPz+/2i6jgvvbPlfbJeAcI29qXNsloBIjo2bWdgnAFclZ50eJOdIZMUc6H+ZHVJcqz0z26NHDuoGNq6urRowYoREjRlTa196vBgEAAADz+IsaAAAgAElEQVQAXBlq/atBAAAAAACXnyrDZERExKWsAwAAAABwGakyTD7xxBOXsg4AAAAAwGXErq8GAQAAAACgLMIkAAAAAMBhhEkAAAAAgMMIkwAAAAAAhxEmAQAAAAAOI0wCAAAAABxGmAQAAAAAOIwwCQAAAABwGGESAAAAAOAwwiQAAAAAwGGESQAAAACAwwiTAAAAAACHESYBAAAAAA4jTAIAAAAAHEaYBAAAAAA4jDAJAAAAAHAYYRIAAAAA4DDCJAAAAADAYYRJAAAAAIDDCJMAAAAAAIcRJgEAAAAADiNMAgAAAAAcRpgEAAAAADiMMAkAAAAAcBhhEgAAAADgMMIkAAAAAMBhhEkAAAAAgMMIkwAAAAAAhxEmAQAAAAAOI0wCAAAAABxGmAQAAAAAOIwwCQAAAABwGGESAAAAAOAwwiQAAAAAwGGESQAAAACAwwiTAAAAAACHESYBAHBi8+fPV1ZWln799VerrUWLFoqOjlZCQoKio6Pl7u5urZszZ44SExO1fft29ejRw2ofPXq0EhISlJCQoNGjR1vtt9xyi3bs2KHExETNmTPn0gwKAHBFIEwCAODEwsPDFRwcXK5t8uTJio2NVfv27RUbG6vJkydLkgYOHChfX1/5+vpq3LhxCgsLk1QSPkNDQ+Xv76+ePXsqNDTUCqBhYWEaN26c9bhz9wUAQFUIkwAAOLHvvvtOOTk55doGDx6siIgISVJERISGDBlitS9atEiStHnzZrm7u8vDw0MDBgxQTEyMcnNzdfToUcXExCg4OFgeHh5q1qyZNm3aJElatGiRtS0AAC6EMAkAwGWmTZs2yszMlCRlZmaqdevWkiRPT0+lpqZa/dLS0uTp6Xne9rS0tArtAADYw622CwAAANXDZrNVaDPGONxembFjx2rcuHGSpJYtW/7OSgEAVwLOTAIAcJnJysqSh4eHJMnDw0PZ2dmSSs4sent7W/28vLyUnp5+3nYvL68K7ZWZN2+e/Pz85OfnpyNHjtTEsAAAlxnCJAAAl5nIyEiFhIRIkkJCQrRixQqrvfROrf7+/srLy1NmZqaioqIUFBQkd3d3ubu7KygoSFFRUcrMzFR+fr78/f0lldzxtXRbAABcCJe5AgDgxD777DMFBgaqZcuWSk1NVWhoqGbNmqWlS5dqzJgxSklJ0UMPPSRJWrlype655x4lJSWpsLBQjz/+uCQpNzdXM2bMUFxcnCRp+vTpys3NlSSNHz9e4eHhatSokVatWqVVq1bVzkABAJcdwiQAAE7skUceqbS9f//+lbZPmDCh0vaFCxdq4cKFFdq3bt2qm2+++eILBADUWVzmCgAAAABwGGESAAAAAOAwwiQAAAAAwGGESQAAAACAwwiTAAAAAACHESYBAAAAAA4jTAIAAAAAHEaYBAAAAAA4jDAJAAAAAHAYYRIAAAAA4DCnCZPJycnasWOHtm3bpri4OElSixYtFB0drYSEBEVHR8vd3d3qP2fOHCUmJmr79u3q0aOH1T569GglJCQoISFBo0ePttpvueUW7dixQ4mJiZozZ86lGxgAAAAAXIGcJkxKUp8+fdSjRw/5+flJkiZPnqzY2Fi1b99esbGxmjx5siRp4MCB8vX1la+vr8aNG6ewsDBJJeEzNDRU/v7+6tmzp0JDQ60AGhYWpnHjxlmPCw4Orp1BAgAAAMAVwKnC5LkGDx6siIgISVJERISGDBlitS9atEiStHnzZrm7u8vDw0MDBgxQTEyMcnNzdfToUcXExCg4OFgeHh5q1qyZNm3aJElatGiRtS0AAAAAgOOcJkwaYxQdHa0tW7Zo7NixkqQ2bdooMzNTkpSZmanWrVtLkjw9PZWammo9Ni0tTZ6enudtT0tLq9AOAAAAALg4brVdQKlevXopIyNDrVq1UkxMjPbs2VNlX5vNVqHNGONwe2XGjh2rcePGSZJatmxpb/kAAAAAUKc4zZnJjIwMSdLhw4e1fPly9ezZU1lZWfLw8JAkeXh4KDs7W1LJmUVvb2/rsV5eXkpPTz9vu5eXV4X2ysybN09+fn7y8/PTkSNHqn2cAAAAAHAlcIow2bhxYzVp0sT6d1BQkHbu3KnIyEiFhIRIkkJCQrRixQpJUmRkpHWnVn9/f+Xl5SkzM1NRUVEKCgqSu7u73N3dFRQUpKioKGVmZio/P1/+/v6SSu74WrotAAAAAIDjnOIy1zZt2mj58uWSJDc3N3322WeKiopSXFycli5dqjFjxiglJUUPPfSQJGnlypW65557lJSUpMLCQj3++OOSpNzcXM2YMcP6apHp06crNzdXkjR+/HiFh4erUaNGWrVqlVatWlULIwUAAACAK4NThMnk5GR17969QntOTo769+9f6WMmTJhQafvChQu1cOHCCu1bt27VzTff/PsKBQAAAABIcpLLXAEAAAAAlxfCJAAAAADAYYRJAAAAAIDDCJMAAAAAAIcRJgEAAAAADiNMAgAAAAAcRpgEAAAAADiMMAkAAAAAcBhhEgAAAADgMMIkAAAAAMBhhEkAAAAAgMMIkwAAAAAAhxEmAQAAAAAOI0wCAAAAABxGmAQAAAAAOIwwCQAAAABwGGESAAAAAOAwwiQAAAAAwGGESQAAAACAwwiTAAAAAACHESYBAAAAAA4jTAIAAAAAHEaYBAAAAAA4jDAJAAAAAHAYYRIAAAAA4DDCJAAAAADAYYRJAAAAAIDDCJMAAAAAAIcRJgEAAAAADiNMAgAAAAAcRpgEAAAAADiMMAkAAAAAcBhhEgAAAADgMMIkAAAAAMBhhEkAAAAAgMMIkwAAAAAAhxEmAQAAAAAOI0wCAAAAABxGmAQAAAAAOIwwCQAAAABwGGESAAAAAOAwwiQAAAAAwGGESQAAAACAwwiTAAAAAACHESYBAAAAAA4jTAIAAAAAHEaYBAAAAAA4jDAJAAAAAHAYYRIAAAAA4DDCJAAAAADAYYRJAAAAAIDDCJMAAAAAAIcRJgEAAAAADiNMAgAAAAAcRpgEgBrWokULLVu2TAUFBTpw4IBGjhxZab/AwECtWbNGR48eVXJycoX1ycnJKiwsVH5+vvLz8xUVFWWt69u3r/bv36/09HQ9/PDDVnvz5s21detWNWnSpPoHBgDA71Bd86MkPfvss9q/f78KCgoUHx8vX19fSVLXrl21c+dOHT58WBMnTrT6u7m5adOmTfLy8qr+gdUhhEkAqGFz587VqVOn1KZNG40aNUphYWHq1KlThX7Hjx/XggUL9Ne//rXKbd13331q2rSpmjZtqgEDBljt7733nu677z4FBwcrLCxMLi4lf95nzpypWbNmqaCgoPoHBgDA71Bd8+OYMWM0ZswY3XvvvWrSpIkGDRqkI0eOSCqZB1988UV169ZNr7zyitq0aSNJev755/XVV18pLS2t5gZYB7jVdgEAcCVr3Lixhg4dqi5duuj48eP64YcfFBkZqUcffVRTpkwp1zcuLk5xcXHq16+fw/u56qqrtGvXLknSqVOndM0118jHx0ft2rXT008/XS1jAQCgulTX/Giz2RQaGqrHHntMu3fvliTt37/fWt+uXTutWbNGp06dUmJioq6//nrVr19fQ4cOVa9evWp2kHUAZyYBoAa1b99excXFSkxMtNq2b9+uzp07X9T2Pv30U2VnZysqKkpdu3a12rOzs9W1a1d17dpVZ8+eVW5urt577z09++yzv3sMAABUt+qaH728vOTt7a0uXbooJSVF+/fv19SpU2Wz2SRJO3fuVFBQkDw9PeXj46N9+/bp/fff19/+9jedOXOmWsdUFxEmAaAGNWnSRHl5eeXa8vLy1LRpU4e3NWrUKPn4+Kht27Zau3atoqKi1Lx5c0nSn//8Z82ZM0f/+te/9Oijj2r8+PGKjY1Vw4YN9e2332rNmjX64x//WC1jAgDg96qu+bH0M49BQUG6+eab1adPH40cOVJjxoyRJL344osaP368IiMj9f/+3/9Tr169lJ+fr/379+vrr7/WunXrNGzYsOoZVB3EZa4AUIMKCgrUrFmzcm3NmjVTfn6+w9v68ccfrX/PmjVLISEhuuuuu/Tf//5X27dvV58+fSRJHh4eevfdd3XHHXdo/fr1mjhxotLT07Vhwwa1bdv29w0IAIBqUF3z44kTJyRJb731lvLy8pSXl6ePPvpI99xzjz7++GOlpKTo3nvvlSQ1atRIP/74owYMGKB//vOf+uKLL/TNN99o586dio2NVW5ubvUMrg6pU2cmBwwYoD179igxMVGTJk2q7XIA1AEJCQlyc3PTjTfeaLV169bN+nzj72GMsS7jKWv27Nl65ZVXdPLkSd18883asmWLDh48qHr16qlVq1a/e7+4MjFHAriUqmt+3Lt3r4qKimSMuWDf1157TR9//LGys7Ot+fHYsWNKS0srVwfsV2fCpIuLi+bOnauBAweqU6dOGjlypDp27FjbZQG4whUWFmrZsmWaPn26GjdurDvvvFODBw/W4sWLK/S12Wxq0KCB6tWrV+7fkuTt7a0777xT9erVU4MGDfTiiy+qZcuW+uGHH8pto3///mrYsKG++eYbSSVfJ9K3b1916tRJDRo00G+//Vbzg8ZlhzkSwKVWXfPjiRMn9MUXX+hvf/ubmjRpIk9PT40dO1b//e9/y22jY8eOCgwMVFhYmKT/zY+tW7eWr6+vUlJSan7QV6A6EyZ79uyppKQkJScn6/Tp01qyZIkGDx5c22UBqAOefvppNWrUSNnZ2fr88881fvx4xcfHq3fv3uUu5/njH/+okydPatWqVWrbtq1Onjyp6OhoSVLTpk0VFham3NxcHTp0SMHBwRo4cKBycnKsx9evX19vv/22nnvuOavtmWee0YcffqjVq1fr6aef1tmzZy/dwHHZYI4EUBuqY36UpAkTJqigoEDp6enauHGjPvvsMy1YsKDcvubOnavnnnvOmgenTJmiZ599Vrt27dIbb7yhrKysSzPoK4xN0oXPCV8Bhg4dquDgYI0dO1aS9Kc//Un+/v565plnqnxMXFyc/Pz8LlWJdru/7XMX7oRLauRNjWu7BFSiz73cpc3ZeDz7dm2XgEo4Okc66/woMUc6I+ZI58P86JwuxzmyztyAp7LPFVV2bfXYsWM1btw4SVKHDh0UFxdX47UBqBmptV0AKoiLe7i2S6jUkSNHNHDgwNouo9bYM0cyPwJXDuZH53Q5zpF1JkympaXJ29vb+tnLy0vp6ekV+s2bN0/z5s27lKUBAFCr7JkjmR8BAOeqM5+ZjIuLk6+vr3x8fFSvXj2NGDFCkZGRtV0WAAC1jjkSAHAx6syZyeLiYk2YMEFRUVFydXXVggULFB8fX9tlAQBQ65gjAQAXo87cgAcAAAAAUH3qzGWuAAAAAIDqQ5gEAAAAADiMMAkAAAAAcBhhEgAAAADgMMIkAAAAAMBhhEkAAAAAgMMIkwAAAAAAhxEmAQAAAAAOI0wCAAAAABxGmAQAAAAAOIwwCQAAAABwGGESAAAAAOAwwiQAAAAAwGGESQAAAACAwwiTAAAAAACHESZxSU2cOFH79+/X6dOnZYzR4MGDa3R/AQEBMsbIGKOAgIAa3deFtG3b1qolJCSkVmu53HDs7D8GHCug7mKOvTz/9pXWHRoaWtul1Bp7jwHHyvkQJi9zbm5umjRpknbt2qWCggLl5eUpKSlJX3/9tfz8/Gq7vHK6deum2bNnq127dsrIyNCmTZuUk5NTad+FCxdafzDOnDmjgoIC7d+/X8uWLdO9995r9z6PHTumTZs2adOmTTp27Fh1DeWiFBUVWbUcPnz4d28vJCTEOkZ79+6Vq6urtW7t2rUyxiguLs7h7SYnJ8sYo4ULF9rVf+jQofrhhx/022+/qbCwUKmpqVq9erUeffRRh/ddleo+dtWtQYMGysnJsX4fb731VrXvw5mOQen/z+Tk5FqtA6hpzLHndyXPsZLUp08frV69WllZWTpx4oTS09O1YcMGPf/889Wy/VKldaelpVXrdqvL7t27refL0qVLa2QfznIMQkNDrbHCfobl8l3+8Y9/mFIJCQlm+/bt5ujRo8YYY0JCQmq9vrLLI488YtXaqVOn8/ZduHCh1Xfjxo0mKSnJnD592moLCwu74P7q1atXK+O8VPsNCQkxZY0bN85at3btWmOMMXFxcQ5vNzk52RhjzMKFCy/Y9/7777f2n56ebrZu3WoyMjLsfrwzHc/fs4wYMaLc7yIjI8O4urrWSi1t27a16qipvwGl/z+Tk5Nr/dizsNTkwhxb9XKlz7G33nqrKSoqMsYYc+TIEbN161aTlpZmiouLzdq1ay+rsfye5fbbby83v508edJcffXVtVZPqdDQ0BrZfmhoqLWP2j72l9FS6wWw/I6l9IX7tGnTyrX7+/ubjh07lmsbPny42bhxoykoKDAFBQUmNjbW3Hnnndb6L7/80hhjzN69e03Dhg2NJDN//nxjjDEpKSnG3d29yjo6d+5svvrqK3P48GFTVFRk9u/fb95++21z1VVXGan8xFVW27ZtK91e2f6lbZ6eniY2NrbCC+WyL57/+te/muXLl5vjx4+b2bNnm4CAAGtdQEBAuT+Kt9xyi7XtYcOGGWOMOXPmjPHy8jKSjK+vr/n8889NVlaWKSoqMgkJCebFF180NpvNelxp8Fq0aJF55513zOHDh83PP/9c6Zgqe5FfNhDef//9Zv369aawsNDs3r3b3Hvvvef93Z8bJtPS0qzfW1Vh8rHHHjNbtmwxhYWFpqCgwGzcuNEMGzasQn3nqqqGzz//3BhjKkysf/jDH0xAQEC5tttuu8385z//Mb/99ps5efKk2bFjh3nsscfK9Sn11ltvmYULF5qjR4+aZcuWVRmQLvS8K3ssytZY2WTh5+dnoqOjzeHDh83JkydNSkqK+e9//2tuvfXWC/4/jIqKso53cXGxMcaYQYMGVejXr18/ExUVZXJzc82JEydMQkJCuTcBbrjhBrN48WKTnp5uioqKzKFDh8yHH35Y5fNHkhkyZIjZu3evOXHihFm/fr0ZOHBgpf0ceT5HRESYqVOnmvT0dJOTk2MWL15smjRpUq7PuQICAoyLi4uZMWOGSUxMNIWFhSYnJ8ds27bNzJw5s9b/VrKwXMzCHFt359iZM2caY0reRCgb+q699lozYMCAcn1/71hKlQ1I3t7eJiIiwmRkZJhTp06ZtLQ089FHH5lWrVpV+D2WfWOv7JhLf/++vr5m2bJlJjMz05w8edIcOnTIxMTEmKCgoAv+H/joo4+MMcbs3r3b5OXlGWOMmTBhQoV+t9xyi1m+fLk1hx44cMC89tpr1vrWrVubsLAwc/DgQVNUVGSysrJMZGSktb6yY9C7d2+zbds2c+LECfPzzz+bO++8s9J+bdq0MfPmzTNpaWmmqKjIHDhwwMycOdPUr1/f6lP2tcDTTz9tkpOTzbFjx8x//vMf06ZNm3J9zlX6fJo4caLZtWuXKSgoMHl5eWbnzp1mwYIFtf53ygmWWi+A5XcsWVlZxhhjfvzxRzNo0CDrP8S5y/PPP2/9p0hMTDQHDx40xhhTVFRkbr/9diPJtGjRwqSlpRljjHn77betF6VnzpwxgYGBVdZw0003mWPHjhljjMnPzze7du0yZ86cMcYY8/333xubzWZeeeUVk5SUZNXw888/m40bNxoPD49Kt1nZRCeV/ME4ceKEMabk3VSp/ARy8uRJc/ToUbNjxw7z9ttvV5joJJndu3dbYyzdbukkHxUVZaSSF/U5OTnGGGNycnLML7/8Yo3p/ffftx5XOjmcPHnSCkgbNmyodEwXmuiKiorM3r17zfHjx40xxuTl5ZkWLVpUedzLPnbr1q3GGGP+9re/GanyMPnyyy9b/Q8ePGgOHTpk/Txu3Djj4eFhNm7caE6ePGmMMSY7O9ts3LjROs6VLV988YUxpuSs5OjRo80NN9xQab877rjD2m5mZqbZuXOnte/nn3/e6lf291hQUGB27NhhPv/880qPnT3Pu7LH4nxh0mazmezsbKu+smdYR40add7/g15eXtZ+hw0bZtasWWOMMearr74q12/YsGFW0CwsLDQ7duwwOTk51hncss+5M2fOmPj4eJOammq9SKjsGHTp0sU6m5CXl2d2795t8vPzK/Rz9PlcVFRk8vLyzL59+6xtvf7660aSWbZsmXWsTp48aT1HevToYSZMmGCMMeb06dPml19+MXv27DEnTpwwiYmJtf63koXlYhbm2Lo7x7755pvWMR8/frzp2LGjcXFxqdCvOsZSqjQgtWrVynqunDhxwuzcudM6S7p3794KbyJcKExu2bLFGGPMb7/9ZrZs2WJSU1ONMca8/PLL533+N2zY0DoT/+KLL5oFCxYYY0pec5TtV3aOLyoqMr/++qvJysqy5t2rr7663BuRCQkJZv/+/eWef+ceg9atW1vP+8LCQrNr1y6rlrL9ym47Pz/f/PLLL1YtZcNq6WuBoqIiU1hYaPbu3Wtt65NPPjGSzNy5c61jY4yx5rd77rnHDBo0yGrftWuX2blzpykoKDCnT5+u9b9TTrDUegEsv2Mp+6K41J49e8y0adNMo0aNjCTTqFEj6wXm3//+dyOVvHj+9ttvjTHGREdHW9vr16+fKS4uNmfOnLFeMM6aNeu8NYSHhxtjjCkoKDDXX3+9kWSeeuopq57SMzSV/YGraqlqopNkduzYYe1PKj+BxMfHm+bNmxtJxsXFpdKJbvLkycaYkkAlyTRp0sQUFhYaY4wZOXKkkf73bvGePXusMzKllxCVfWe17ORw8803W/utbEwXmujeeecdI8ncd999Vtu5736WXco+dtCgQaaoqMj89ttvpnnz5hXCZOPGja0J9OuvvzY2m824ubmZ9evXG2OMycrKssKXI5e59uvXr9ylUcaUhLH58+cbb29vq1/pu93r1q0zbm5uRpJ56aWXjDElE3qDBg2M9L/JJDs723h6elrHs7JjZ+/zzp4wefXVV1s/l/5upZIXCaXbrmopDek5OTmmfv365vHHHzfGlExY11xzjdWvNJjt37/fXHvttUaScXV1NV26dCn3nDt16pS56667rMf16NGjyudP6TE4duyYdbxmzJhRoZ+jz+e8vDxz3XXXGZvNZn766SdjjCn3pkJVl7m+//77xhhjPv74Y6utYcOG5o477qj1v5UsLBezMMfW3Tm2Y8eOpqCgoNzvPjc313zxxRflLiOujrGUKg1IU6dONcYYU1xcbG677TYjyQwYMMDqV3pm0N4wWRrKevfubfXz9PQ07du3P+/zZNSoUdY4rr32WtOnTx9r26VjkP43x+fm5pqbbrrJau/evbuRZF599VXrcaXPAUnlzl6f7xiUzoNjxoyp0K9020eOHLHePCl7BrP06oDS1wJnzpwx3bp1M5LMV199ZYwp+WhKZf/nyx6L0jeMYmJirDZXV9dy83UdXmq9AJbfuQwZMsQsX7683Ds2xhjz73//20gllxeez7Fjx8ptr+xnRH7++WfrxX9Vy65du4wx/3vHUZJp2rSptY2pU6caqfomutKzWvn5+UYqP4FMmjSpXN/KJrrrrrvOetewV69e5k9/+pMxpuSPYOmlR2XPnFXmwQcfNNL/JodVq1Zd8Pd0oYmu9I/b/2/v7GOaut44/q3UlCBUNqcdZOElvHRSFNDpCswpU2nMbELYcKxxTKYu24y4LJvJMvaPRJdsbhHNggGjzA0XEgTm1C1CCMvG6jasFIqrvM3KYEIrAqZzFfD8/mjuWW9pgSKEn/P5JCdp7zn3vN2n9+k55znPiYqK4tdycnK85ud6r0qlYkeOHGGMMXbgwIFxg8lVq1bxtK4v8t27d/PrERERojZNdc9jYmIiO3bsmGg2jzHGrl27xv9suStkdwSFIuC+X8dT301V7qZq5trQ0MAYc86AtrS0sPLycrZjx45J5b+trU1U56CgID5wz8vLYwDYY489xstzNfvxJNd1dXVTlh9hRfr777/n6eLj48el81Weq6qqeH5ffvklY8w5CHb/fboPJtPT0/nqa29vL6uvr2effvopU6lUs/oOpEBhNgPp2HCe9mHSsYBzy8bhw4dFq76MMTY4OMgnBWeiLQLCAOncuXOMMecqpGu6mzdvMsYYKy0tFT3HyQaTZWVljDHnJKfZbGZVVVVsz549oi0hnkJtba2ozhKJhK+6f/bZZzydoOO9mXyePXuWMSbWI5P1gTDQM5vNPE1gYOC4dELe3hCsn4T/ApcvX+b5CZOvY2Nj/Jq3waRKpeIrnlarlTU0NLDPP/+cWx48zEEK4oGnuroa1dXVAIAVK1aguLgYK1euxObNmyGRSCCRSHja33//HUNDQ6L7mZvHqvDwcP5ZoVBALpd79Qg3UT6zQUhICKKjowEAra2t4+Jv3LgxaR69vb2ora2FRqNBdnY2IiMjAQDl5eX4559/AID3mc1mQ0dHx7g87ty543O5kzE4OAgAGB0d5ddcn91kFBQUYNu2bcjLy0N3d7fXdDP9nJqamrBjxw4ATtnZt28fcnJyEB4ejqSkJPz88888bU9Pj8e63bt3T/Tdl/6crD1CvKu324ULF45Lt379euh0OqSmpiIuLg6ZmZnYsmUL4uPj8fbbb3vM+5lnnkFMTAwAICcnB9nZ2QCc3l0BIDc3F4cPH55yW2YCTzLjqzwLsgj8K49TkcULFy5gxYoVyMrKQkJCApKSkrB27Vrs3LkTcXFxc+6ljyCmA+nYf3nYdGxXVxfy8vKQl5cHhUKBd955B3v37sXChQuRlpaGU6dOzWpbZkq/5eTk4MyZM1i3bh1UKhU0Gg0yMjKQlpaGjIwMj3mHhYUhLS0NALBu3TrcunULALBgwQIAwNatW7F3715Rf84FQv/fvn3bo8y66jP370Ld582b/HCL1tZWqFQq6HQ6JCUlISEhAW+99RZef/11qCHoVRMAAAhgSURBVNVqXLp06X6a8UBDR4M84Hz88cdYvXo1/24wGGA2mwEAdrsdjDGYTCbY7XYAQF1dHVJSUpCcnIzk5GRs27ZNdFbP9u3bkZmZCbvdjqtXryI0NBTFxcUT1kE4fiI1NRVhYWEAAJ1Ox+MbGxtnpK1PPPEETp06xf+oHz16dNp5lZaWAgCys7OxceNGABAdhfHrr78CcPahVqvl/ZWeno6ioiJ899130y57tujv78ehQ4ewYMECPPnkk6K41tZW/P333wCcbZZIJJBKpXjxxRf5vRaLBQB4OkFhTMSuXbuQkZEBqdQ5L2WxWPDjjz/yeMFVvCAjvb29WL9+Pe9PrVaLQ4cOoampyef2TlXu+vv7AQARERGYN28eZDIZNm3aNC6/lJQUlJaWYvv27UhOTsYXX3wBAHjuuee81iE3N5d/DggIQHBwMIKDg7liT0xMRGJiImw2G7q6ugA4j3RRKBQAnApMpVIBAH755RcAzgFqSkoKzzchIcFr+SaTidc9JCQEAPgzdWWm5VmQkYCAANH1ZcuWob+/H/n5+dBqtVCr1QCAoKAg0XuKIB4USMdOj/+CjtXpdHjllVfg7+8PAOjr60NNTQ2PF/TbbLRFeOYxMTF46qmnAAAajQaPPvoogPH6bcmSJQgMDIREIvF4tuiaNWtQVVWFN998E88++ywOHDgAYGL99uqrr/JBlr+/P9dv8+fPBwAsXrwYmzdvBvCv/srIyOATrACwfPlyUXxkZCSysrLGxXtC0G/R0dFcD7reKyD0P2MMW7du5f2flpaGgwcP4vTp017L8ISg3wCxjouOjgZjDAUFBcjMzERcXBzsdjukUumcn7H6/8CcL49SmH4QnIQMDw8zo9HIrl27xpfnXTd+v/fee/x6b28vMxgM3LGAqwMQYd/H7t27WUJCAt/w7e510zW4OwcwmUweHaFM1wRHr9ez9vZ20d48wcMlMPFRCJ5McAAwmUzGN8wz5vRS5npfTEwMu3XrFmOMMbvdzgwGA+vs7GR3794VmT74YhI6mQmO0CdTPdrB3cwVAJPL5cxms/HrEzngETb3MyY+VkQwLRkdHWWNjY0TeioTvLkKpjMmk4mbORoMBn48RmpqKpeloaEhZjAYmMViYaOjoyLzHAF3l99TccDjTe527tzJ721qamLt7e08nfAs/fz8eN1MJhNrbm7maYSN+e4hICCAl19YWCiKk8lk4+JcHfDY7XZmNBqZzWbz6oCntbWVWSwWbhbkqQ+WL1/O6zk0NMSuXLnCnWe4prsfefZkRuVqHm02m5ler2f+/v6soKCAjY2NMYvFwhobG/mesJGREaZUKuf8fUmBgq+BdOzDq2MFb64jIyOso6ODNTU18T66fv063zs6E20RcHXAIzjJu3PnDmtpaeGy0tbWxs1TN27cyO8Vjq5x1W9Cm7u7u5ndbmdms5kZDAae108//eS1/YJp7zfffDMuTtjeIcS5O+Bpbm5mf/3114QOeDo6OkTmpe59oFAo+O/Fbrdzhzfu6RYtWiRyeGU0GllbWxvXhUIfTHXLi+ue2j/++IPp9XoWGRnJ92v29PTwY2IENmzYMOfvqrkMtDL5gJOfn4/q6mpYrVZERUXh8ccfR1tbG/bv3493332Xp/vkk0+g0+mg1+shl8sRGxuLwcFBlJaW4tixY/Dz80NZWRkCAwNRX1+PI0eOwGg0Yt++fQCAwsJCbqrijtlsRnJyMiorK+FwOBAbG4vu7m4cPHgQGo3mvk1zVq9ejdDQUPT09ODMmTPQarV444037itPh8OB8vJy/l2YRRVob2/H008/ja+//hq3b9+GSqWCTCZDfX099uzZc19lzybDw8P46KOPPMbt378fubm5uHTpEhYvXoxHHnkEFy9exJYtW0Qz4/n5+dDr9bh79y5WrlyJZcuWeS2vpKQEJ06cQGdnJxQKBZRKJW7cuIGTJ09Cq9VibGwMANDQ0IA1a9bg22+/xejoKOLi4gAA586dw4cffjittk5V7k6cOIHCwkJYrVaEhYWhrq4OhYWForzGxsZQVFSErq4uhIaGIjY2Fn/++SeKioqwa9cuj+VnZWUhKCgIAFBZWSmKczgcOH/+PADn7Pb8+fNRUVGB9PR01NTUYGRkBEqlEgMDA7h48SIAoLOzE6tWrUJZWRmsVitiYmIglUpx4cIFr33Q3NyMl156Ce3t7ZDJZBgaGsLLL788Lt1My/Px48dRUVGBwcFBKJVKqNVq+Pn54YcffsD58+chkUgQHx8PqVSKhoYGvPDCC7h69arP5RDEXEM6dnr8F3RsRUUFioqKcOXKFQQHB0OlUmFgYACVlZXQaDTcnHk22mK1WqFWq3Hy5En+nrVarSgpKUFqaipfCa+pqcEHH3yAnp4ehISEwGw2Iz8/f1x+x48fR0tLCxYtWgSVSgWr1YqvvvqKb81wZ+3atYiKigIwXr+5Xtu0aROWLFkCvV6PlJQUVFdXY3h4GEqlEg6HA/X19QCAgYEBqNVqHD16FNevX0dERATkcjnXk57o6+vD888/D6PRCD8/P9y7d8/jquvNmzehVqtRUlKC/v5+LF26FHK5HL/99hvef/999PX1TdzZbpw9exbFxcWw2WyIiIiAWq1GQEAALl++jNOnT8PhcGDp0qUICgqCwWDAa6+9htraWp/K+K8hgXNUSRAEQRAEQRAEQRBThlYmCYIgCIIgCIIgCJ+hwSRBEARBEARBEAThMzSYJAiCIAiCIAiCIHyGBpMEQRAEQRAEQRCEz9BgkiAIgiAIgiAIgvAZGkwSBEEQBEEQBEEQPkODSYIgCIIgCIIgCMJnaDBJEARBEARBEARB+AwNJgmCIAiCIAiCIAif+R/I6bXqnbo5qAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 1080x576 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sod_order=[\"Female\", \"Male\", \"Not known\"]\n",
"\n",
"fig, ax =plt.subplots(1,2,figsize = (15,8))\n",
"sns.despine(top=True, right=True, left=False, bottom=False)\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"sex_of_driver\", hue_order=sod_order,\n",
" palette=\"magma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 3,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"sex_of_driver\", hue_order=sod_order,\n",
" palette=\"magma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 3,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"fig.suptitle(\"Sex of Driver in Accidents\", fontsize=20, fontweight=\"bold\")\n",
"ax1.set_xlabel('\\nSex of Driver in Not Serious Accidents', fontsize=14, fontweight=\"bold\")\n",
"ax2.set_xlabel('\\nSex of Driver in Serious Accidents', fontsize=14, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.set_ylabel('')\n",
"plt.style.use('dark_background')\n",
"plt.savefig('sex_of_driver.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Vehicle Type vs Seriousness\n",
"The graphs below are about the number of accidents by type of vehicle."
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x864 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"vt_order=['Bus', 'Car', 'Goods Vehicle', 'Motorcycle', 'Other Vehicle']\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,12))\n",
"sns.despine(top=False, right=True, left=True)\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"vehicle_type\", hue_order=vt_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"vehicle_type\", hue_order=vt_order,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"fig.suptitle(\"Vehicle Type in Accidents\", fontsize=18, fontweight=\"bold\")\n",
"ax1.set_xlabel('Vehicle Type in Not Serious Accidents\\n\\n', fontsize=13, fontweight=\"bold\")\n",
"ax2.set_xlabel('Vehicle Type in Serious Accidents', fontsize=13, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"plt.style.use('dark_background')\n",
"plt.savefig('vehicle_type.png')\n",
"fig.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Vehicle Manoeuvres\n",
"\n",
"The graphs below depict the types of moves vehicles made that led to the accident. "
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x864 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"vm_order=['Turning right', 'Going ahead other', 'Going ahead right-hand bend',\n",
" 'Slowing or stopping', 'Turning left', 'Waiting to go - held up',\n",
" 'Waiting to turn right', 'Overtaking static vehicle - offside' ,\n",
" 'Parked', 'Overtaking - nearside', 'U-turn', 'Changing lane to right', \n",
" 'Reversing', 'Waiting to turn left', 'Changing lane to left',\n",
" 'Going ahead left-hand bend', 'Overtaking moving vehicle - offside', 'Moving off']\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,12))\n",
"sns.despine(top=False, right=True, left=True)\n",
"\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"vehicle_manoeuvre\",hue_order=vm_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
" \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"vehicle_manoeuvre\",hue_order=vm_order,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12)\n",
" \n",
"fig.suptitle(\"Vehicle Manuevers in Accidents\", fontsize=18, fontweight=\"bold\")\n",
"\n",
"ax1.set_xlabel('Vehicle Manuevers in Not Serious Accidents\\n\\n', fontsize=13.5, fontweight=\"bold\")\n",
"ax2.set_xlabel('Vehicle Manuevers in Serious Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"\n",
"plt.tight_layout() # No overlap of subplots\n",
"plt.style.use('dark_background')\n",
"plt.savefig('vehicle_manoeuvre.png')\n",
"fig.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Driver Home Type Area\n",
"This area is another look at the type of area the accident occured in, whether Rural, Urban, or Small Town."
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x576 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dhoa_order=['Urban area', 'Rural', 'Small town']\n",
"\n",
"fig, ax =plt.subplots(1,2,figsize = (15,8))\n",
"sns.despine(top=True, right=True, left=False, bottom=False)\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"driver_home_area_type\", hue_order=dhoa_order,\n",
" palette=\"magma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 3,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"driver_home_area_type\", hue_order=dhoa_order,\n",
" palette=\"magma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 3,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12) \n",
"fig.suptitle(\"Driver Home Type Area in Accidents\", fontsize=20, fontweight=\"bold\")\n",
"ax1.set_xlabel('\\nDriver Home Type Area in Not Serious Accidents', fontsize=14, fontweight=\"bold\")\n",
"ax2.set_xlabel('\\nDriver Home Type Area in Serious Accidents', fontsize=14, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.set_ylabel('')\n",
"plt.style.use('dark_background')\n",
"plt.savefig('driver_home_area.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Age Band of Driver\n",
"Thr graphs below show accidents by age groups of the drivers."
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x864 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#age_band_of_driver\n",
"abod_order=['Under 16', '16-25', '26-45', '46-65','Over 65']\n",
"\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,12))\n",
"sns.despine(top=False, right=True, left=True)\n",
"\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"age_band_of_driver\", hue_order=abod_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
" \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"age_band_of_driver\", hue_order=abod_order,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12)\n",
" \n",
"fig.suptitle(\"Age Band of Driver in Accidents\", fontsize=18, fontweight=\"bold\")\n",
"ax1.set_xlabel('Age Band of Driver in Not Serious Accidents\\n', fontsize=13.5, fontweight=\"bold\")\n",
"ax2.set_xlabel('Age Band of Driver in Serious Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.savefig('age_band_of_driver.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Junction Control\n",
"The following graphs show what type of traffic signs or signals were up in the accident area, if any."
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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9PT21Pr+JiYno0KEDfvjhB4SHhyMrKws5OTm4ffs29u3bp3BJalm+//57TJ8+HdeuXUNOTg6SkpLg6uqKGTNmlFlnwYIF+OSTT7B//37cu3cPubm5ePz4MS5fvozt27fD1tYWwcHBqp4upTZv3oxly5bh9u3bSmegFy5ciEOHDiExMRFZWVnIz89Hamoqjh8/jk8//RQHDhyoUP9ERG+CDEVZJRERlWPjxo2YNGkSAODJkyeoW7fuaycWRERERO8D3jNJRFSOn376CT179kS/fv2kbT4+PkwkiYiI6IPHmUkionKkp6ejTp060vvk5GT06tUL9+7dq8JREREREVU93jNJRFQOIQSePXuGmJgY/Pzzz+jcuTMTSSIiIiJwZpKIiIiIiIheA2cmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG1MJomIiIiIiEhtTCaJiIiIiIhIbUwmiYiIiIiISG2aVT2Ad9nx48dRv379qh4GERERERFRlUhLS8Onn36qdJ8MgHi7wyEiIiIiIqK/O17mSkRERERERGpjMklERERERERqYzJJREREREREaquSBXjkcjkuXbqEu3fvwsbGBqampvD09ES9evUQERGB8ePHIy8vD1paWvDw8ECXLl3w6NEj2NnZITk5GQCwYMECODs7o6CgADNnzsSpU6cAAIMGDcLq1auhoaGBTZs2wc3NDQDK7IOIiIiI/t7q1q2L2bNnw9TUFDKZrKqHQ/S3I4RAUlISVq1ahfT0dPXqvu2YM2eO2LVrlzh8+LAAILy8vISdnZ0AINatWyemTp0qAAgXFxexbt06AUDY2dkJT09PAUC0adNGREVFCS0tLWFqaiquX78u5HK5kMvl4vr166JZs2aiWrVqIioqSrRp06bcPhiM8iIrK0sh8vPzxW+//Sbtd3Z2FgkJCSIrK0scP35cNG7cuNz27OzsxJUrV8TTp0/F9evXhaWlpQCKPtNhYWHi8ePH4vHjx+L06dPSZxeAcHBwEPfu3RM3b94UVlZW0vbmzZuLoKAgIZfLq/xcMRgMBoNRVbF48WJhY2MjNDQ0qnwsDMbfMTQ0NMSwYcPE4sWL1a37dgdqaGgozpw5I/r16yclkw8fPpS+/D169BAnTpwQAMSJEydEjx49pAN8+PChACAWLFggFixYILVZXK5k3ZfLldUHg6Fq1KhRQ2RlZYk+ffoIAKJv377iwYMHom3btqJatWri999/F/7+/mXWHzBggEhKShLdu3cXMplMNGnSRDRp0kQAEHp6esLExEQAEHK5XMyYMUNER0cLoOizn5ycLBo1aiSGDh0qYmNjpTaPHDkiunfvXuXnhsFgMBiMqozt27czkWQwKhgaGhpi+/btatV565e5rlq1CvPnz0ft2rUBAPr6+sjIyEBBQQEA4M6dOzA0NAQAGBoa4vbt2wCAgoICZGZmQl9fH4aGhggODpbaLFmnuHzx9u7du5fbB5GqRo8ejdTUVJw7dw4AYGNjgz///BNXrlwBAPz444+4d+8emjdvjps3b5aqv3jxYixZsgQhISEAgHv37kn7MjMzkZmZCQCQyWQoKChAixYtABR9R+7evYv79+/jzJkzaN68OQDA1tYWd+/eldojIiL6UBX/30lEr6+goEDty8Tf6gI8Q4cORWpqKiIiIqRtygYshCh3X2VtV2by5MkICwtDWFgYJk+eXPbB0AfHyckJHh4e0nuZTKbw2Sp+/dFHH5WqK5fL0bVrVxgYGCAhIQG3b9+Gu7s7dHR0FMqlp6cjOzsb7u7uWLZsGQDg4cOH0h9RPvnkE1y+fBk1a9bEd999h4ULF76JQyUiIiIieqW3OjPZu3dvDBs2DEOGDIGOjg50dXWxatUq1KlTBxoaGigoKEDTpk2lGZs7d+7AyMgId+/ehYaGBvT09PD48WNpe7GSdZRtT0tLK7OPl23cuBEbN258g2eB/o6MjIxgZWUFZ2dnaduxY8fg5eWF9evXIyEhAT/88AMKCwtRo0aNUvUbNmwILS0tjB49Gn369EFeXh4OHTqE7777Dt99951Urm7duqhRowacnJykxaaEEHBxccHevXuRk5ODyZMnY8mSJXB3d0f79u3h6uqK3NxcfPXVV7h8+fKbPxlERERERP+vSq7JtbKyku6Z9Pb2Vlgcx8XFRQAQ06ZNU1iAx8vLSwAQbdu2VViA58aNG0IulwsNDQ1x48YNYWpqKi3A07Zt23L7YDBUiW+//Vbp/ZDTpk0T8fHx4sGDB2LBggUiIyNDWlSnZNSpU0cIIYSjo6O0bdSoUSIiIkJpfzKZTKSlpQkDA4NS+9q3by8CAgKEXC4Xt27dEsbGxqJ3797i4sWLVX6eGAwGg8GoivDw8KjyMbwrERQUVKntLVy48I22/6bGqWokJiYKfX39Kh//uxKv8V2qmoGWTCabNWsmQkJCREJCgvD29hZaWloCgNDW1hbe3t4iISFBhISEiGbNmkn1v/nmG3H9+nVx9epVMXjwYGn7p59+Kq5duyauX78uvvnmG2l7WX0wGKrEtWvXxMSJE8stY2ZmJp4+fSrq1KmjdP+tW7fE+PHjpfflJZMaGhri+fPnwtzcvNS+gIAA0bFjR9GgQQNx9+5dAUBoaWmJZ8+eVfl5YjAYDAajKoLJ5JuLrKysKh9DRccpk8nK3MdkUjH+Nskkg/F3iZ49e4qnT5+KWrVqKWzX1tYW7dq1EwCEkZGR8PPzEz/99FOZ7SxevFiEhoYKAwMDUadOHREYGCiWLFkigKKVXs3NzYVcLhe1a9cWq1evFnfv3hXa2toKbUyaNEmsWrVKAEUJ5+PHj0WbNm3EoEGDFFZ5ZTAYDAbjQwomk/+LrKwshUkbAMLd3V04OTkJoCh5WrRokQgPDxcxMTGiVatWAoCoWbOm2LJli4iJiRHR0dFi1KhR4ueffxb5+fkiMjJS7Ny5U2q/uN1ffvlFxMbGipiYGDFmzBgBFE0Y+fn5iT///FPExcVJ9cqKrl27iqCgIBEVFSVCQkJErVq1hLa2tjSWiIgI8fHHHwsAwsnJSezbt08cP35cxMfHCzc3NwGg1DhNTEzElStXxNq1a0VERIQwNjYW9vb2IiYmRsTGxorly5dL/TOZVAwmkwxGJcf69euVfrH09PREdHS0ePr0qUhJSRHLli1TeN7jwoULxbFjx6T3mpqaYu3atSI9PV2kpKSI1atXS8ni6NGjRVxcnMjKyhKpqani6NGjon379gr96evri9jYWFG7dm1p29ixY0VKSopITEyU/qFlMBgMBuNDCyaT/wtVksnp06cLoOiZ7hs3bhQAxPLly8XKlSulOsVXWr0841f8ftSoUeLUqVNCLpeLBg0aSI8xs7KyEhkZGcLQ0FDIZDJx4cIF0bt3b6VjrVatmrhx44bo2rWrACBq164tNDQ0xJdffim2bNkiAIhWrVqJ5ORkoa2tLZycnMSNGzeErq6u0NbWFklJSaJp06alxmliYiIKCgqkx6c1btxYJCcni/r16wsNDQ3h6+srhg8fLp0PJpP/C3W/S2/90SD04RprsLqqh/BaAr/PAZCjdPxuA/wB+P//u5qw118p7UveBCRvSlCoF7QoH0GL/rcirK3uL0UvAoAf+55SaLs9JqG9gWJ/P1ufhY3OUqB4EdjTwFcdvAEATTASYw1Gqn+AVWz3w1lVPQQiIqIPyv79+wEA4eHhGDVqFABgwIABsLe3l8pkZGSU24alpSX27NmDwsJCpKamIiAgABYWFnjy5AlCQ0Nx9+5dAEBUVBRMTU0RFBRUqo1WrVohJSUFly5dAgBkZWVJbbu7uwMArl27huTkZLRs2RIA4OvriydPngAArly5AhMTE9y5c6dU28nJydLj0ywsLODv74+0tDQAwK5du9C3b18cOnRIldNF5XirjwYhIiIiIqI3Kz8/H3L5/37Nf/lRZDk5OQCKniuoqVk0tySTycp8dJ4y5T2PsLj9l/tQ1oayPiuj7WfPnqnUHlUMk0kiIiIiovdIcnIy2rZtCy0tLejq6qJ///6vrHPq1ClMnz5del+nTh0AQF5entKELTAwEHZ2dpDL5ahfvz769u2L0NBQtcZ59epVNGnSBF27dgUA1KpVCxoaGggMDMS4ceMAAGZmZjA2Nsa1a9fKbauscQJASEgIrKysoK+vD7lcDgcHBwQEBKg1VlKOySQRERER0XtCCIE7d+7A29sbMTEx2LVrFyIjI19Zb+nSpahbty5iY2MRFRWFfv36AQA2bNiAmJgY7Ny5U6H8gQMHEBMTg+joaJw9exbz58/HgwcP1BprXl4e7Ozs4O7ujqioKJw+fRo6Ojr4/fffoaGhgZiYGHh5eWHChAnIzc0tt62yxgkA9+/fx8KFC+Hn54fo6GhERETAx8dHrbGScjIU3TxJ9Mb9Xe+ZpDeL90wSEVFFeXh4wNHRsaqHUeXq1auHiIgImJqaVvVQ6G9K3e8SZyaJiIiIiP7mGjdujIsXL+I///lPVQ+FPiBczZWIiIiI6G8uJSUFrVq1quphlGn//v1o1qyZwravv/4ap06dKqMG/R0wmSQiIiIiojeq+BEk9H7hZa5ERERERESkNiaTREREREREpDYmk0RERERERKQ23jNJRERERO+Vyn4cmSqPsWrQoAFWrlyJHj16ID09Hbm5ufjll19w8OBBdOnSBY6Ojpg1i4/DqiwmJibo1asX9uzZo3a9I0eOoH379rCyssLcuXNhY2Ojcn0/Pz/MnTsX4eHh6g75vcSZSSIiIiKiCjp48CACAwPxj3/8A127doW9vT2aNm0KAAgPD39vEkmZTFbVQwAAmJqaYuzYsUr3aWhovOXRfLiYTBIRERERVYC1tTVyc3Pxxx9/SNtu3bqFNWvWAACsrKxw+PBhyGQyJCYmQk9PTyqXkJCABg0aoH79+ti7dy9CQ0MRGhqKXr16lern6NGjaN++PQAgIiIC33//PQBgyZIlcHZ2Rs2aNXHmzBmEh4cjJiYGw4YNk/bPnDlTamfp0qWYMWNGqfbnzJmD2NhYxMbGSsmviYkJrly5grVr1yIiIgJGRkYKdRITE6Gvrw8A6NKlC/z8/AAArq6u2Lx5M/z8/HDjxg2F/saPH4/o6GhERUXBw8MDAGBsbIwzZ84gOjoaZ86ckfrZunUrVq9ejaCgINy4cQO2trYAgOXLl6NPnz6IjIzE7Nmz4eTkBG9vb/j4+EiPG/nll18QGxuLmJgYjBkzprwfIWrUqIHNmzcjNDQUERER0rnT0dHBnj17EB0dDU9PT1SvXr3cdj40vMyViIiIiKgC2rVrh9wb8OcAACAASURBVIiIiFeWE0Lg0KFDGDlyJLZt24Zu3bohKSkJqamp2LVrF1auXImgoCAYGRnh5MmTaNu2rUL9wMBA9OnTB0lJScjPz0fv3r0BAJaWlti5cyeys7MxcuRIZGVlQV9fH8HBwfDx8cHmzZuxf/9+/Pbbb5DJZLC3t0e3bt0U2u7cuTMmTpyI7t27QyaTISQkBAEBAUhPT0erVq0wceJE/Pvf/1brvLRu3Rr9+vVD7dq1ce3aNaxbtw4tW7bEt99+i969e+PRo0eoW7cuAGDNmjXw8PCAh4cHJk6ciN9++w0jR44EADRu3BiWlpZo3bo1fHx8sG/fPixYsEDhElUnJyf07NkTHTp0QHp6OkaNGgVzc3N07NgR9evXR1hYGAIDA8sc67fffouzZ8/C2dkZenp6CA0NxZkzZ/DFF1/g+fPn6NixI9q3b6/Sz/lDwplJIiIiIqJKtGbNGkRFRSE0NLTUPi8vL9jZ2QEA7O3t4eXlBQAYMGAA1qxZg8jISPj4+EBXVxe1atVSqHvu3Dn07dsXlpaWOHr0KGrVqoXq1avD1NQU8fHxkMlkWLZsmTS7Z2hoiIYNGyI5ORmPHj2Cubk5Bg4ciMjISDx+/FihbUtLSxw4cADPnz/Hs2fPsH//fvTp0wcAkJycjJCQELXPw9GjR5Gbm4tHjx4hNTUVDRs2hLW1Nfbu3YtHjx4BANLT0wEAPXv2xO7duwEAO3bsgKWlpdTOwYMHIYRAXFwcGjZsWGZ/p0+fltqztLTEnj17UFhYiNTUVAQEBMDCwqLMugMHDsSCBQsQGRkJf39/6OjowNjYGH379sXOnTsBQJrlpP/hzCQRERERUQVcvnxZuvwSAKZPnw59fX1cunSpVNmLFy+iRYsWqF+/PkaMGIGlS5cCAORyOXr27Ins7Owy+wkLC0PXrl1x8+ZNnD59GvXr18fkyZOlxWDGjRsHAwMDdOnSBfn5+UhMTISOjg4AYNOmTZgwYQIaNWqELVu2lGq7vHshnz17Vua+/Px8yOVF81PFfRXLycmRXhcUFEBTUxMymQxCiDLbK1ayTMl2VB2nuvd2ymQy2NraIj4+vtyxkCLOTBIRERERVcDZs2eho6ODqVOnSttq1KhRZvkDBw7gv//9L+Li4qQZwlOnTmH69OlSmY4dO5aql5eXh9u3b2PMmDEIDg7GuXPnMHfuXJw7dw4AoKenh9TUVOTn5+Pjjz+GqampQp+DBw+GhYUFTp48WartwMBAjBgxAtWrV0eNGjUwcuRIqd3yJCUloUuXLgCgkFCXxdfXF2PGjEG9evUAQLrM9cKFC7C3twdQlBSfP3++3HaysrJQu3btMvcHBgbCzs4Ocrkc9evXR9++fZXOFBc7efKkwn2d5ubmUjvjxo0DUHQ5c4cOHV55jB8SzkwSERER0XtFlUd5VLYRI0Zg5cqVmD9/Ph4+fIhnz57h66+/VlrWy8sLly5dgpOTk7Rt5syZWLt2LaKjo6GpqYnAwEC4uLiUqnvu3Dn0798fL168wLlz52BkZCQlfbt27cLhw4cRFhaGqKgoxMXFSfXy8vLg5+eHjIwMFBYWlmo3MjIS27ZtkxKuTZs2ISoqCiYmJuUe9+LFi7F582Y8ePBApUthr1y5gp9++gkBAQEoKChAZGQkJk6ciJkzZ2LLli2YN28eHj58iIkTJ5bbTkxMDPLz8xEVFYVt27ZJl7cWO3DgAHr27Ino6GgIITB//nw8ePCgzOP58ccfsWrVKsTExEAmkyEpKQk2NjZYt24dtm7dKi0YVF5C+iGSAeC8Lb0Vlf3MJ3o/VMV/+ERE9H7x8PCAo6NjVQ/jnSaTyRAREYHPP/8c169fr+rh0DtK3e8SL3MlIiIiInqPtWnTBtevX4evry8TSapUvMyViIiIiOg9FhcXh3/84x9VPQx6D3FmkoiIiIiIiNTGZJKIiIiIiIjUxmSSiIiIiIiI1MZkkoiIiIiIiNT2Vhfg0dbWRmBgILS1taGpqYm9e/di0aJF2Lp1K6ysrJCZmQkAmDBhAqKjowEAq1evxpAhQ/D8+XNMmDABkZGRAABHR0d89913AIClS5fCw8MDANC5c2ds27YN1atXx7FjxzBrVtFjB+rWrQsvLy+YmpoiKSkJY8aMQUZGxts8fCIiIiJ6C1a0/rVS25t39SuVyo0YMQIHDhxA69atce3atVeWnzVrFjZs2IAXL16oPJbXqQMArVq1gqenJ4QQGD16NIYOHQoXFxdERETAy8sLbdu2hZubm1ptlrR48WIEBgbC19f3tdtQJjExEV27dsWjR48qtV2qHG91ZjInJwfW1tYwNzeHubk5Bg8ejO7duwMA5s2bh06dOqFTp05SIvnpp5/CzMwMZmZmmDJlCtatWwegKDF0dXVF9+7d0a1bN7i6uqJOnToAgHXr1mHKlClSvcGDBwMAFixYAF9fX7Rs2RK+vr5YsGDB2zx0IiIiInrPOTg44Ny5c7C3t1ep/OzZs1GjRg21+iivjlxe9q/2I0aMwKFDh9C5c2fcvHkT06ZNw5AhQ/DPf/4Thw8frlAiCQCurq6VnkjSu++tX+b67NkzAEC1atVQrVo1CCHKLDt8+HBpxjEkJAR16tRBo0aNMGjQIJw+fRrp6enIyMjA6dOnMXjwYDRq1Ai6uroIDg4GUPTQzREjRkhtbd++HQCwfft2aTsRERERUUXVrFkTvXv3hrOzs0IyaWVlhcOHD0vv3d3d4eTkhBkzZqBJkybw8/PD2bNnAQD29vaIiYlBbGwsli9fXqoPZXWysrKwePFiBAcHo2fPnvj+++8RGhqK2NhY/PHHHwCKJmhmz56NSZMm4ezZs1i3bh2aN28OHx8fzJ49G05OTnB3dwcANGjQAPv370dUVBSioqLQs2dPhTHI5XJs3boVsbGxiImJwezZswEAW7duha2trdRfXFwczp07h9WrV0vH7+rqis2bN8PPzw83btzAjBkzpHYPHDiAS5cu4a+//sLkyZMr9sOgt+atJ5NyuRyRkZFITU3F6dOnERoaCgD46aefEB0djf/+97/Q0tICABgaGuL27dtS3Tt37sDQ0LDc7Xfu3Cm1HQAaNmyI+/fvAwDu37+PBg0avPFjJSIiIqIPw4gRI3DixAkkJCTg8ePH6NSpU7nl3d3dce/ePfTr1w/W1tZo3Lgx3NzcpKv4LCwsMHz48HLrAECtWrXw119/oUePHggKCsKaNWvQrVs3tG/fHtWrV8dnn32G48ePY/369Vi5ciWsra3h4uIitbNq1SqFPn777TcEBATA3NwcnTt3xuXLlxX2m5ubw9DQEO3bt0eHDh2wdetWhf3a2tr4448/8Omnn6JPnz4wMDBQ2N+6dWsMGjRIurpQU7Porrt//etf6Nq1K7p27YqZM2eiXr16qp98qjJvPZksLCxEp06d0LRpU3Tr1g3t2rXDwoUL0bp1a1hYWKBevXr4+uuvAQAymaxUfSGE2tvVMXnyZISFhSEsLIx/FSEiIiIilTg4OMDT0xMA4OnpCQcHB7XqW1hYwN/fH2lpaSgoKMCuXbvQt2/fV9bLz8/Hvn37pPf9+vVDcHAwYmJiYG1tjXbt2qk1Dmtra+nWssLCQjx58kRh/82bN9G8eXP89ttvGDRoUKn9rVu3xs2bN5GUlAQA2LNnj8L+o0ePIjc3F48ePUJqaioaNmwIAJg5cyaioqIQHBwMIyMjmJmZqTVuqhpVtpprZmYm/P39MXjwYGnGMDc3F1u3bkW3bt0AFM0sGhkZSXWaNm2Ke/fulbu9adOmpbYDwIMHD9CoUSMAQKNGjZCamqp0XBs3boSFhQUsLCywcePGyj1oIiIiInrv1KtXD9bW1ti0aRMSExMxb9482NnZAShK9krey6ijo6O0DWWTIqrIzs5GYWEhgKJZwd9//x2jR49Ghw4dsHHjxjL7e10ZGRno2LEj/P398e9//xubNm1S2P+q48jJyZFeFxQUQFNTE1ZWVhgwYAB69uwJc3NzREZGVvq46c14q8lk/fr1oaenB6DoizRgwABcvXpVSvKAoksE/vrrLwCAj48PHB0dAQDdu3dHZmYm7t+/j5MnT2LgwIGoU6cO6tSpg4EDB+LkyZO4f/8+srKypEV9HB0dcejQIaktJycnAICTk5O0nYiIiIioIkaPHg0PDw+YmpqiWbNmMDY2RmJiIiwtLZGcnIy2bdtCS0sLurq66N+/v1QvKysLtWvXBlC0PoiVlRX09fUhl8vh4OCAgICAUn2VrPOy4gQsLS0NNWvWxOjRo9U+Fl9fX7i4uAAouj3t5b6Kx7d//358//336Ny5s8L+q1evonnz5jAxMQEAKakuj56eHtLT0/HixQu0atUKPXr0UHvcVDXe6qNBGjdujO3bt0NDQwNyuRze3t44evQofH19YWBgAJlMhqioKEydOhUAcOzYMQwZMgTXr1/H8+fPMXHiRABAeno6fvzxR4SFhQEAlixZgvT0dACAi4uL9GiQ48eP4/jx4wCA5cuXw9vbG87Ozrh16xY+//zzt3noRERERPSWqPooj8ri4OBQasGcffv2YezYsZg2bRq8vb0RExODhIQE6TF3ALBhwwYcP34cKSkpsLa2xsKFC+Hn5weZTIZjx47Bx8enVF8v1ykpMzMTGzduRGxsLJKSkqTfldVR/OgRZ2dnFBQUwMXFRVrcEiha02Tr1q3SbOvChQsV6mdnZ2PatGk4ceIE0tLSpPVRynPixAlMnToV0dHRuHbtmkJ/9G6TAVDvpkKi1zTWYHVVD4HeQbsfzqrqIRAR0d+ch4eHdDUbVb2aNWtKT3BYu3YtEhISSi30Q+8mdb9LVXbPJBERERERvX8mT56MyMhIXL58GXp6etIjSuj981YvcyUiIiIiovfbqlWrOBP5geDMJBEREREREamNySQRERERERGpjckkERERERERqY3JJBEREREREamNC/AQERER0XvltP13ldreJ55LVSo3YsQIHDhwAK1bt8a1a9deWb74mY4vXrwAAGRlZaF27dqvPU4bGxu0bdsWbm5ur90GAGzduhVHjhzBvn37KtQOvf84M0lEREREVAkcHBxw7tw52Nvbq1R+9uzZqFGjRqX0raGhgcOHD1c4kXxTNDQ0qnoI9AYwmSQiIiIiqqCaNWuid+/ecHZ2VkgmrayscPjwYem9u7s7nJycMGPGDDRp0gR+fn44e/astH/p0qWIiorCxYsX0aBBAwCAsbExzpw5g+joaJw5cwZGRkYAimYQf/31V5w9exZubm5wcnKCu7s7AGD06NGIjY1FVFQUAgICAAByuRy//PILQkNDER0djSlTpiiM6/Llyzhy5IjU78v8/PywcuVKBAUFITY2FhYWFgCAGjVqYPPmzQgNDUVERASGDRsGAHBycoK3tzd8fHxw6tQpNGrUCAEBAYiMjERsbCwsLS0BAPb29oiJiUFsbCyWL18u9ZeVlaX0fNC7g8kkEREREVEFjRgxAidOnEBCQgIeP36MTp06lVve3d0d9+7dQ79+/WBtbQ0AqFWrFoKDg2Fubo7AwEBMnjwZALBmzRp4eHigY8eO2LVrF3777TepnZYtW2LAgAGYO3euQvs//PADBg0aBHNzcym5c3Z2RmZmJrp16wYLCwtMnjwZpqamGDlyJFq1aoX27dtj8uTJ6NWrV5njLk6ap02bhi1btgAAvv32W5w9exbdunVDv379sGLFCmnGtWfPnnByckL//v0xduxYnDx5Ep06dULHjh0RFRWFxo0bw83NDdbW1jA3N4eFhQWGDx9e7vmgdweTSSIiIiKiCnJwcICnpycAwNPTEw4ODmq3kZOTgyNHjgAAwsPDYWpqCqAoIdu9ezcAYMeOHdKMHgD8+eefKCwsLNVWUFAQtm3bhkmTJkmXmA4cOBCOjo6IjIxESEgI9PX1YWZmhr59+2LPnj0oLCxESkqKwkzpy/bs2QMAOHfuHHR1daGnp4eBAwdiwYIFiIyMhL+/P3R0dGBsbAwAOH36NNLT0wEAYWFhmDhxIlxdXdG+fXs8ffoUFhYW8Pf3R1paGgoKCrBr1y707du33PNB7w4uwENEREREVAH16tWDtbU1PvroIwghoKGhASEE5s+fj/z8fMjl/5u/0dHRKbOdvLw86XVBQQE0NZX/qi6EkF4/e/ZMaRkXFxd069YNQ4cORVRUFMzNzSGTyTBjxgycOnVKoeyQIUMU2izPy+WEEJDJZLC1tUV8fLzCvu7duyuM79y5c+jbty+GDh2KHTt2YMWKFXjy5EmZfal6PqjqqDQz2atXL8yZMwcDBgwAAAwePBhXr17Fo0ePsHPnzkq7cZiIiIiI6O9m9OjR8PDwgKmpKZo1awZjY2MkJibC0tISycnJaNu2LbS0tKCrq4v+/ftL9VRdvfXChQvSfZjjxo3D+fPnX1mnefPmCA0NhaurK9LS0mBkZISTJ0/CxcVFSsrMzMxQo0YNBAYGwt7eHnK5HI0aNUK/fv3KbNfOzg4A0Lt3b2RmZuLJkyc4efIkZsyYIZUxNzdXWtfY2BipqanYtGkTNm/ejM6dOyMkJARWVlbQ19eHXC6Hg4ODdI8nvftUSu/nzZsHGxsbTJo0CVpaWti1axfq1KkDoOiG2du3b2PhwoVvdKBERERERKpQ9VEelcXBwUFh4RgA2LdvH8aOHYtp06bB29sbMTExSEhIQGRkpFRmw4YNOH78OFJSUqT7JpWZOXMmtmzZgnnz5uHhw4eYOHHiK8e0YsUKmJmZQSaTwdfXF9HR0YiJiYGpqSkiIiIgk8nw8OFD6XEm1tbWiI2NRXx8fLnJXHp6OoKCgqCrq4t//etfAIAff/wRq1atQkxMDGQyGZKSkmBjY1Oq7scff4x58+YhLy8PT58+haOjI+7fv4+FCxfCz88PMpkMx44dg4+PzyuPj94NMgCvnNNOSkpC06ZN0aJFCxgZGcHf3x9Xr15FfHw8hg0bhoSEBLRu3fotDJf+zsYarK7qIdA7aPfDWVU9BCIi+pvz8PCAo6NjVQ/jvefn54e5c+ciPDy8qodCb4i63yWVLnM1MDAAANy5cwft27eHEAK//vornJycAACGhoavMVQiIiIiIiL6u1LpMtcXL15AW1sbhoaG6Nq1KwAgPj4e+fn5AIpuiCUiIiIiovdXefdS0odJpWQyISEBFhYWiIqKQq1atZCfn4+oqChpyd+UlJQ3OkgiIiIiIiJ6t6h0met///tfAICuri7kcjk8PDzw9OlTDB48GABw8eLFNzdCIiIiIiIieueoNDP5559/4tatW+jVqxeSk5Oxf/9+AEBkZCQmTpyIsLCwNzpIIiIiIiIiereolEyOHz8eALBy5UqF7QEBAWjWrFnlj4qIiIiIiIjeaSolk9u2bUNhYSF27NhRat/169dRWFiIatWqVfrgiIiIiIjUFb9kSqW21/KHDa8s880332Ds2LEoKChAYWEhvvjiC4SGhmLWrFnYsGEDXrx4UaljKtalSxc4Ojpi1iw+aovePpWSSQCQyWSltmlra5e5j4iIiIjoQ9CjRw989tln6Ny5M3Jzc6Gvrw8tLS0AwOzZs7Fz5843lkyGh4fzuY9UZcpMJocNG4bhw4crbNu8ebPC+xYtWgAAsrKy3sDQiIiIiIjefY0bN0ZaWhpyc3MBAI8ePQIAzJgxA02aNIGfnx/S0tJgbW0Ne3t7fPPNN5DJZDh69CgWLFgAoOj36T/++AP9+vVDeno67O3tkZaWptDP6NGj4erqioKCAmRmZsLKygpWVlaYO3cubGxsUL9+fezevRv6+voICwvD4MGD0aVLF9SqVQvHjx/H+fPn0atXL9y9exfDhw9Hdnb22z1R9N4pczVXc3NzODk5wcnJCUDR7GPx++Lo3bs3APCvIURERET0wTp16hSMjIxw7do1rF27Fn379gUAuLu74969e+jXrx+sra3RuHFjuLm5wdraGubm5rCwsJAmb2rVqoWIiAh06dIFAQEBcHV1LdXPDz/8gEGDBsHc3BzDhg0rtd/V1RVnz55Fly5dcODAAZiYmEj7zMzMsHbtWnz00UfIyMiAra3tGzob9CEp99EgMpkMMpkMQggIIaT3xZGRkYFTp07BxcXlbY2XiIiIiOid8uzZM3Tp0gVTpkzBw4cP4eXlJU3IlGRhYQF/f3+kpaWhoKAAu3btkhLPgoICeHl5AQB27twJS0vLUvWDgoKwbds2TJo0CRoaGqX2W1pawtPTEwBw8uRJPH78WNqXmJiI6OhoAEUTQaamphU+bqIyL3NdsmQJlixZAqDowy2EUPqhJSIiIiL60BUWFiIgIAABAQGIjY2Fk5MTtm/frlBGnXVGhBCltrm4uKBbt24YOnQooqKiYG5urnL7OTk50uuCggJUr15d5bEQlaXcmclixVPzFaWtrY2QkBBERUXhr7/+wqJFiwAApqamCA4ORnx8PDw9PaWVYbW0tODp6YmEhAQEBwcrTNUvWLAACQkJuHr1KgYOHChtHzRoEK5evYqEhAR8/fXX0vay+iAiIiIiqoiWLVtKa4kARbeLJScnAyi6F7J27doAgJCQEFhZWUFfXx9yuRwODg4ICAgAAGhoaGD06NEAgLFjx+L8+fOl+mnevDlCQ0Ph6uqKtLQ0GBkZKew/f/48xowZAwD45JNPUK9evco/WKISVFrNNTAwEHK5HD179oSRkZG0imtJyh4b8rKcnBxYW1vj2bNn0NTUxPnz53H8+HF8+eWXWLlyJby8vLBu3To4Oztj/fr1cHZ2Rnp6OszMzGBnZwc3NzfY29ujTZs2sLe3R7t27dCkSROcOXMGLVu2BACsXbsWn3zyCe7cuYOwsDD4+PggLi4Obm5uSvsgIiIioveLKo/yqEy1atWCu7s76tSpg/z8fFy/fh1TphQ9nmTDhg04fvw4UlJSYG1tjYULF8LPzw8ymQzHjh2Dj48PAODp06do164dLl26hMzMTNjZ2ZXqZ8WKFTAzM4NMJoOvry+io6NhZWUl7V+8eDH27NkDOzs7BAQE4N69e8jKykKtWrXezomgD44MQOk59Jd06tQJ+/fvL/XXj2JCCLVn+qpXr47z58/DxcUFR48eRaNGjVBQUIAePXpg0aJFGDx4ME6cOIFFixYhODgYGhoauH//PgwMDKRVr5YvXw4AUjkAUl0ACuUePnyotA96e8YarK7qIdA7aPdDPheLiIgqxsPDA46OjlU9jAopOYP5urS0tFBQUCD9vrtu3Tp06tSpkkZIHwJ1v0sqzUz+/vvvMDY2fu1BlSSXyxEeHo4WLVpg7dq1uHHjBjIyMlBQUAAAuHPnDgwNDQEAhoaGuH37NgBISyDr6+vD0NAQwcHBUpsl6xSXL97evXt36Ovrl9kHEREREdH7wNjYGN7e3pDL5cjNzcXkyZOrekj0nlMpmWzfvj2EENi+fTu8vb2RnZ2t9KZgVRQWFqJTp07Q09PDgQMH0KZNm1JlittWdhNx8aqyyrbL5aVvAS2vvDKTJ09WuCxh48aN5R8QEREREVEFVXRWEgCuX7+Ozp07V8JoiFSjUjKZlJSE1q1bY/bs2cjKyqqUjjMzM+Hv748ePXqgTp060NDQQEFBAZo2bYp79+4BKJpBNDIywt27d6GhoQE9PT08fvxY2l6sZB1l29PS0srs42UbN25kAklERERERPQKKq3m+sMPPwBAhZ8nWb9+fejp6QEAdHR0MGDAAMTFxcHPz09avcrJyQmHDh0CAPj4+EjP6Bk9ejTOnj0rbbe3t4eWlhZMTU1hZmaG0NBQhIWFwczMDKampqhWrRrs7e2lm5rL6oOIiIiIiIjUp9LM5PTp05GVlYVly5Zh5syZuHHjBvLz86X9QggMGDDgle00btwY27dvh4aGBuRyOby9vXH06FFcuXIFnp6eWLp0KSIjI7F582YAwObNm7Fjxw4kJCTg8ePHsLe3BwBcuXIF3t7euHLlCvLz8/Hvf/8bhYWF0lhPnjwJDQ0NbNmyBVeuXAEAfP3110r7ICIiIiIiIvWptJprQUGBwr2HJe83lMlkEEJAU1OlvJQ+YFzNlZThaq5ERFRR78NqrkTvgjeymuutW7dee8EdIiIiIqK36c7eTyu1vaajj7+yjBACv/76K+bOnQsA+Oqrr1CrVi0sXry4zDrDhw9HfHw84uLiVB6LlZUVcnNzcfHixVL7bGxs0LZtW7i5uanc3qt07NgRTZo0wfHjx99YH5Vp8eLFCAwMhK+vL2bNmoUNGzbgxYsXAMp+/MoXX3yB58+fY8eOHSr10bFjR6xbtw66urooKCjATz/9BG9vbwCAqakpPD09Ua9ePURERGD8+PHIy8urvANE0S17p06dQkpKSqW2+zpUumeyWbNmaN68eblBRERERPShys7OxqhRo6Cvr69ynREjRqBt27Zq9fPxxx+jV69eSvcdPny40pM8c3NzDBky5I32UR5lT2Uoj6urK3x9fQEAs2fPRo0aNV5Z548//lA5kQSA58+fw9HRER999BEGDx6MVatWSevCuLm5YeXKlWjZsiXS09Ph7Oys1vhVMWHCBDRp0kTpPmVPt3iT1O5NW1sbjRo1ehNjISIiIiL6W8rPz8eGDRswZ86cUvuMjY1x5swZREdH48yZMzAyMkLPnj0xbNgwrFixApGRkaUmZz777DMEBwcjIiICp0+fRoMGDWBiYoKpU6dizpw5iIyMhKWlpUIdJycnuLu7AwC2bt0KW1tbaV/xExmsrKzg5+eHP//8E3Fxcdi5c6dUpmvXrggKCkJUVBRCQkKgq6uLJUuWwM7ODpGRkRgzZoxCH8qOq7jv1atXIygoCDdu3FAYR0lz5sxBbGwsYmNjMWtW0W0vJiYmuHLlCtauXYuIiAiFJzVYWFj8H3t3HldVtf9//HU4CKKmmBMFDllmmqmoiaVezcyhSbuaQ14l82rfvuZwK9P62DQSeQAAIABJREFUWpjXBu2a2mTFNYHM0CyDmznlcNWuIBY5oAYoBAg4JCCoKMP6/cGPfSVADwYC+n4+HvvhOWuvvdZnb448+Jy191p89dVXADz66KOcPXuWGjVq4OrqyuHDh4uc96RJk7j55pvZsmWLNYknwJw5c/j555/ZuXMnjRs3BgoS0Oeffx4omLTzrbfeIjw8nF9++aXYNQaIiYkhNjYWgJSUFI4fP06jRo0A6NOnD6tWrQIgMDCQwYMHFzvez8+PgIAA1q9fT1xcHI899hhz585l7969rF271np8sFOnTmzdupXdu3ezbt06PDw8GDJkCF26dOHzzz8nMjKSmjVrEhcXxyuvvML27dt5/PHHadmyJWvXrmX37t1s27aN1q1bAwUTmu7bt4+ff/6Zf//73yX+TMrK4WSyW7du/PDDD2RlZZGYmAjAokWLWLJkCXfeeWe5BCMiIiIiUl198MEHjBo1irp16xYpf//99wkKCqJDhw58/vnnvPvuu+zcuZPQ0FCmTZuGt7c3R44cKXLMjh076NatG506dSI4OJgXX3yRX3/9lY8++ogFCxbg7e3Njh07rihOb29vpk6dStu2bWnZsiXdu3enRo0arFixgilTptCxY0f69u3LmTNnePXVV1mxYgXe3t7WrZyXOq9CN910Ez169ODhhx/mrbfeKhZDp06dGDt2LD4+PnTr1o3x48fTsWNHAFq3bk1QUBCdOnUiISHBOuann37C29sbgJ49e7J//37uvvtufHx8CA8PL9L+e++9R3JyMvfddx99+vQBoE6dOoSFhdGxY0e2bdvG+PHjS7w+zs7O+Pj4MHXqVPz8/C55Le+++25cXFw4fPgwDRo0ID09nby8PKBgmUNPT88Sj7v11lt56KGHGDRoEMuWLWPLli20b9+ec+fO8dBDD+Hs7Mx7773H0KFD6dKlC59++imvv/46X331Fbt372bUqFF4e3uTnZ0NFIyM9+zZkxUrVvDJJ58wadIkunTpwgsvvMCHH34IFKzQ0b9/fzp27Mijjz56yfNylEPPTHp7e7N582ZcXFysCXegYGIeX19fTp06xbRp08olIBERERGR6igzM5OgoCAmT55sPacHcM899/DnP/8ZgM8++4x58+Zdti0vLy9WrFjBTTfdhIuLC3FxceUW565duzh69CgAP//8My1atCAjI4OUlBR2795tncvlXOq8vvnmG4wxHDx4kCZNmhQ7tkePHqxevZqzZ88C8PXXX9OzZ09CQ0P59ddfiyWHUJB7xMbGcscdd9C1a1feeecd/vSnP2G329m+fftl4z1//jzffvstAD/++CMPPPBAifW+/vprq06LFi1Kbc/Dw4PPPvsMX1/fIpOVXqy0eWfWrl1Lbm4u+/btw263s27dOgD27dtHixYtaN26Ne3atWPjxo0A2O32Sz4juWLFCgBq167Nvffey5dffmntc3V1BeCHH34gICCAlStXWuf4Rzk0Mjl79mxcXV05dOhQkfKAgABsNptDy4KIiIiIiFzrFi5cyLhx46hdu3apdRyZ2PK9997j/fffp3379jz99NPUrFmzTHHk5uYWeX7OxcXFen3+/HnrdV5eHs7OzkUGjK7Uxcdf3EdJSdalnoU8c+ZMqfu2b9/OwIEDycnJ4fvvv6dHjx706NGDbdu2XTa+iyfCKTzvkhTGfqk6N9xwA2vWrGHmzJlW4nvy5Enc3d2x2+1AwRcCycnJl+zDGFMkrvz8fOvnERUVhbe3N97e3rRv357+/fuXem6F18zJyYn09HTrOG9vb+u53GeeeYaZM2fStGlTfv75Z2688cZS23OUQ8lk9+7dMcYUefgWsGaeatas2R8ORERERESkuktLS2PlypVFJl75z3/+Y62XPmrUKOv21NJmFwWoV6+eNXro6+trlV/qmIvFx8fTuXNnoGDW2IuTyZIcOnSIm2++mS5dugAFt4Ta7fZL9lfaeTli27ZtDB48GDc3N2rVqsVjjz3m0Ojitm3bmDp1Kjt37uTkyZM0aNCAO+64g6ioqGJ1Hb1WZVWjRg1Wr15NUFCQ9XxkoS1btjB06FCg4OcWEhJyRX388ssvNGrUiG7dugEFt94WJoWXOq/MzEzi4uKsGADat28PQMuWLdm1axd+fn6cPHmyyPOoV8qh21wLvwn5/dBqw4YNi+wXEREREalsjizlUZHmz5/Ps88+a72fPHkyn376KdOmTePEiROMHTsWgODgYPz9/Zk8eTJDhw4t8tzkrFmz+PLLLzl69ChhYWHccsstQMFsqqtWrWLQoEFMmjSpWAJXODro7+9PSEgI4eHhbNq0iaysrEvGnJOTw/Dhw3nvvfdwc3Pj3Llz9O3bly1btjBjxgwiIyN58803ixxT2nk5IjIykoCAAHbt2gXAP//5T37++WeaN29+yePCw8Np0qSJNRK5d+9ejh8/XmLdTz75hLVr15KSkmI9N1kehg0bxp/+9CcaNGjAk08+CRTMsLpnzx6mT59OcHAwc+bMITIykiVLllxRHzk5OQwdOpR3332XevXq4ezszMKFCzlw4AABAQF89NFHnDt3jnvuuafYsaNGjWLx4sXMnDmTGjVqEBwczN69e3n77bdp1aoVNpuNTZs2sWfPnj9yGQCwAZcdz46KiqJ169b4+voSFBSEMYYbb7yRjz/+mGHDhnHgwAHuuuuuPxyMXNueaLSoskOQKmj5iSmVHYKIiFRzZV1o/Vr13HPPUbduXWbNmlXZoUg1Vdb/Sw7d5hocHIzNZiMwMND6tuPkyZM8/vjjGGMIDg6+smhFREREROQPe/rpp3nyySeLLPUhUtEcSibfeusttm7dis1msza73Y7NZmPbtm0OzUglIiIiIiIV4+OPP6Z9+/bW+ociV4NDz0zm5OTwwAMP8MQTTzBgwAAaNWrEyZMnWbduHcuXL7fWUhERERERudqMMdjtdv1NKvIH2O32Ms/o61AyCQXT1C5btkxD5yIiIiJSpcTHx/PQQw+xZs0aJZQiV8But/PQQw8RHx9fpuNKTSZHjx5dpoY+++yzMtUXERERESkPCxcuZOrUqQwZMuSS6xeKSMmMMcTHx7Nw4cIyHVfqbK55eXkOD3MaY6hRo0aZOpbrj2ZzlZJoNlcRERGR6umSt7nqmx0REREREREpSanJ5H333We9rlevHh999BHHjx9n4cKFJCcnc/PNNzN16lRuvvlmnn766asSrIiIiIiIiFQNpSaT27Zts14vXbqUJk2a0LVrV44ePWqVb9q0iV9//ZU///nPfPPNNxUbqYiIiIiIiFQZDq0z+dhjjwHg5uZWpLxWrVoAPProo+UcloiIiIiIiFRlDi0Ncv78eerUqcOGDRv45z//ydGjR/H09OSvf/2rtV9ERERERESuHw4lk59++ikvvvgizZo1Y/bs2VZ54QQ9S5YsqZjoREREREREpEpyKJl8+eWXuXDhAlOnTqVOnTpWeVZWFgsWLOC1116rsABFRERERESk6il1ncmS1K1bl/bt23PTTTeRkpLC3r17OX36dAWGJ9cSrTMpJdE6kyIiIiLVk0Mjk4VOnz7Njh07KioWERERERERqSZKTSY3bdqEMYa+ffuyadOmSzZSWE9ERERERESuD6Umk71798YYU+z179lstlL3iYiIiIiIyLWp1GQyISGB/Px867USRhERERERESnkVNqOW265hVtvvdV63bJly0tujvDy8mLz5s0cOHCA/fv3M3nyZAD8/PxISkoiMjKSyMhIBg4caB0zY8YMYmJiOHToEP369bPK+/fvz6FDh4iJiWH69OlWeYsWLQgLCyM6Oprg4GBq1KgBgIuLC8HBwcTExBAWFkbz5s3LcJlERERERETkYqUmkxUhNzeX559/nrZt29KtWzcmTpxImzZtAFiwYAHe3t54e3uzdu1aANq0acOIESO48847GTBgAB9++CFOTk44OTnxwQcfMHDgQNq2bcvIkSOtdubOncuCBQu4/fbbSUtLY9y4cQCMGzeOtLQ0WrVqxYIFC5g7d+7VPHUREREREZFrikPJ5Pz58zl8+DBTp04tUj516lQOHz7M22+/7VBnqampREZGAgVrVB48eBBPT89S6w8aNIjg4GAuXLhAfHw8sbGxdO3ala5duxIbG0tcXBw5OTkEBwczaNAgAPr06cOqVasACAwMZPDgwVZbgYGBAKxatYr777/foZhFRERERESkOIeSycGDB9O8eXNCQ0OLlH/zzTe0aNGCxx57rMwdN2/eHG9vb8LDwwF49tln2bNnD0uWLMHd3R0AT09PEhMTrWOSkpLw9PQstbxBgwakp6eTl5dXpPz3beXl5ZGRkUGDBg3KHLeIiIiIiIg4mEzefPPNAKSkpBQpP3bsWJH9jqpduzZfffUVU6dOJTMzk8WLF3PrrbfSsWNHUlJSmD9/PlAwU+zvGWPKXH6ptn5v/PjxREREEBERwfjx48t0XiIiIiIiItcLh5LJM2fOAAWT3lys8H3hfkc4Ozvz1Vdf8fnnn7N69WoAjh8/Tn5+PsYY/P396dq1K1Awsti0aVPrWC8vL5KTk0stP3nyJO7u7tjt9iLlv2/LbrdTr149Tp06VSw+f39/7r77bu6++278/f0dPi8REREREZHriUPJZHh4ODabjaCgIObOnctTTz3F3LlzCQwMxBhj3arqiCVLlnDw4EEWLFhglXl4eFivH3vsMfbv3w9AaGgoI0aMwMXFhRYtWtCqVSt27dpFREQErVq1okWLFtSoUYMRI0ZYt+Bu2bKFoUOHAuDr60tISIjVlq+vLwBDhw5l8+bNDscsIiIiIiIiRdmAyy4ged9997Fx48biB9ts5Ofn07dvX/79739ftrPu3buzY8cO9u7da61h+fLLLzNy5Eg6duyIMYb4+HiefvppUlNTrf1PPfUUubm5TJ06lXXr1gEwcOBAFi5ciN1u59NPP+WNN94ACpYxCQ4O5sYbbyQyMpK//OUvXLhwAVdXVz777DO8vb05deoUI0aMIC4uzuELJX/cE40WVXYIUgUtPzGlskMQERERkSvgUDIJ8OSTT/LOO+9Qr149qywjI4O//e1v1iypIpeiZFJKomRSREREpHpyOJkEqFWrFvfeey+NGjXixIkT/Oc//+Hs2bMVGJ5cS5RMSkmUTIqIiIhUT85lqXz27Fm+//77iopFREREREREqgmHJuBZvnw5ubm5vPTSS0XKp0+fTm5uLp9//nmFBCciIiIiIiJVk0PJZI8ePQAICgoqUr5s2TJsNpu1X0RERERERK4PDiWTjRs3Bgom3LlY4fvC/SIiIiIiInJ9cCiZTEtLA2D48OFFygvfp6enl3NYIiIiIiIiUpU5NAHPjh07+POf/8zixYvp168fv/zyC61bt+axxx7DGMP27dsrOk4RERERERGpQhxaGsTb25udO3fi7Fw097TZbFy4cIFu3bqxZ8+eiopRrhFaGkRKoqVBRERERKonh25zjYyM5OGHHyYuLg6bzWZtsbGxPPzww0okRURERERErjMOrzP5/fff06pVK2677TYaNWrEiRMniI2NrcjYREREREREpIpyOJksFBsbayWR7dq1Y/jw4Tz++OPccccd5R6ciIiIiIiIVE1lTibbtGnD8OHDGTZsGLfffntFxCQiIiIiIiJVnEPJZOvWrRk2bBjDhg2jTZs2QMHkO4W0NIiIiIiIiMj1pdRk8rbbbrMSyHbt2lnlFyeRxhiGDBnCd999V7FRioiIiIiISJVSajL5yy+/YIwpkjympKSwZs0aDhw4wDvvvANASEhIxUcpIiIiIiIiVcplb3M1xvD555+zaNEifvrpJwDatm1b4YGJiIiIiIhI1eXQM5OjRo2iQ4cOhISEEBoaSnZ2dkXHJSIiIiIiIlWYDTAl7Xj77bcZMmQIzZs3BwpGKAudPn2aevXqYYzB2bnME8LKdeqJRosqOwSpgpafmFLZIYiIiIjIFXAqbce0adNo2bIl99xzDwsXLuTo0aPYbDZsNpuVSELBc5QLFy68agGLiIiIiIhI5St1ZLIk99xzD8OHD2fIkCHcfPPNVrlGKMURGpmUkmhkUkRERKR6KnVksiQ7d+5k6tSpNG3alF69evHhhx9y7NixiopNREREREREqqgyJZMX27FjB5MmTeLmm2/m/vvvL8+YREREREREpIq74mTyYv/+97/LoxkRERERERGpJsolmRQREREREZHri5JJERERERERKTMlkyIiIiIiIlJmpSaTo0ePZvTo0QA0bdqUpk2bXrWgREREREREpGorNZkMCAjg008/BSA+Pp4jR4784c68vLzYvHkzBw4cYP/+/UyePBmA+vXrs2HDBqKjo9mwYQPu7u7WMYsWLSImJoY9e/bg7e1tlY8ZM4bo6Giio6MZM2aMVd6pUyf27t1LTEwMixb9d13DS/UhIiIiIiIiZVNqMmmMwWazUadOHQBsNtsf7iw3N5fnn3+etm3b0q1bNyZOnEibNm2YMWMGmzZt4vbbb2fTpk3MmDEDgIEDB9KqVStatWrFhAkTWLx4MVCQGPr5+eHj40PXrl3x8/OzksPFixczYcIE67gBAwYAlNqHiIiIiIiIlF2pyeSxY8eAglHJQocPHy5xi42Ndaiz1NRUIiMjAcjKyuLgwYN4enoyaNAgAgMDAQgMDGTw4MEADBo0iKCgIADCw8Nxd3fHw8OD/v37s3HjRtLS0khPT2fjxo0MGDAADw8P6tatS1hYGABBQUFF2iqpDxERERERESk759J2bNiwgTFjxlC/fn2gYGSyRYsWJdY1xpS54+bNm+Pt7U14eDhNmjQhNTUVKEg4GzduDICnpyeJiYnWMUlJSXh6el6yPCkpqVg5UGofIiIiIiIiUnalJpOTJk3i+PHjdOzYkb59+2KMYdu2beXSae3atfnqq6+YOnUqmZmZpdYr6dbawttvy1JeFuPHj2fChAkAfPLJJ/j7+5fpeBERERERketBqclkVlYW06dPByAvLw+APn36/PEOnZ356quv+Pzzz1m9ejVQcEuth4cHqampeHh4cPz4caBgZPHiWWS9vLxITk4mKSmJ3r17FynfunUrSUlJeHl5Fat/qT5+z9/fXwmkiIiIiIjIZTi0zqTdbsfZuSDvdHFxwcPDA1dX1yvqcMmSJRw8eJAFCxZYZaGhofj6+gLg6+tLSEiIVV44U6uPjw8ZGRmkpqayfv16+vXrh7u7O+7u7vTr14/169eTmppKZmYmPj4+QMGMrxe3VVIfIiIiIiIiUnY2wKH7QDt27Mj8+fPp0aMHdrud/Px8tm/fzgsvvGBNqnM53bt3Z8eOHezdu5f8/HwAXn75ZcLDw1m5ciXNmjUjISGBxx9/nLS0NADef/99BgwYwNmzZxk7diw//vgjAGPHjuXll18G4PXXXycgIACAzp07ExAQgJubG2vXrmXSpEkA3HjjjaX2IVfHE40WXb6SXHeWn5hS2SGIiIiIyBVwKJls27Yt4eHhuLm5FXsu8ezZs3Tr1o2oqKiKilGuEUompSRKJkVERESqJ4duc501axa1atXCGMPWrVtZtmwZW7duJT8/Hzc3N/z8/Co6ThEREREREalCSp2A52K9evXCGMPQoUOLPGv46KOPsnr1anr16lVhAYqIiIiIiEjV49DIZL169QD4/vvvi5Rv3ry5yH4RERERERG5PjiUTBYur/HSSy9Zs7o6OztbS4cU7hcREREREZHrg0PJZGhoKDabjRkzZpCenk5cXBzp6em89NJLGGP417/+VdFxioiIiIiISBXi0Gyu9evXZ+fOnbRq1arYvpiYGO655x4tsyGXpdlcpSSazVVERESkenJoAp60tDTuvvtunnvuOfr160fDhg05efIkGzZsYMGCBZw+fbqi4xQREREREZEqxKGRSZHyoJFJKYlGJkVERESqJ4eemRQRERERERG5mJJJERERERERKTMlkyIiIiIiIlJmSiZFRERERESkzC47m6vdbqdt27YAHDlyhDNnzlR4UCIiIiIiIlK1XTaZzM/P58cff8Rms3HLLbcomRQREREREZHL3+ZqjCEuLg6bzUZmZubViElERERERESqOIeemXzttdesf52dLzuYKSIiIiIiItc4G2AuV2nz5s106NCBevXqkZaWRnR0NNnZ2dZ+Ywx9+/atyDjlGvBEo0WVHYJUQctPTKnsEERERETkCjg0zNirVy+MMdhsNm688UZ8fHysfTabDWMum4+KiIiIiIjINcShZDIhIUEJo4iIiIiIiFgcSiZvueWWio5DREREREREqhGHJuC5mKurKx4eHhURi4iIiIiIiFQTDieT3bp144cffiArK4vExEQAFi1axJIlS7jzzjsrLEARERERERGpehy6zdXb25vNmzfj4uJSZMKdvLw8fH19OXXqFNOmTavQQEVERERERKTqcGhkcvbs2bi6unLo0KEi5QEBAdhsNi0LIiIiIiIicp1xKJns3r07xhgefPDBIuUHDx4EoFmzZuUfmYiIiIiIiFRZDiWTNWvWBCAlJaVIecOGDYvsFxERERERkeuDQ8lkXFwcAMOGDbPK6tatyzvvvAPAkSNHKiA0ERERERERqaocSiaDg4Ox2WwEBgZak++cPHmSxx9/HGMMwcHBDnW2ZMkSjh07xr59+6wyPz8/kpKSiIyMJDIykoEDB1r7ZsyYQUxMDIcOHaJfv35Wef/+/Tl06BAxMTFMnz7dKm/RogVhYWFER0cTHBxMjRo1AHBxcSE4OJiYmBjCwsJo3ry5Q/GKiIiIiIhIyRxKJt966y22bt2KzWazNrvdjs1mY9u2bcybN8+hzgICAhgwYECx8gULFuDt7Y23tzdr164FoE2bNowYMYI777yTAQMG8OGHH+Lk5ISTkxMffPABAwcOpG3btowcOZI2bdoAMHfuXBYsWMDtt99OWloa48aNA2DcuHGkpaXRqlUrFixYwNy5cx2KV0RERERERErmUDKZk5PDAw88gK+vL1988QXff/89wcHBPPnkkzzwwAPk5OQ41Nn27ds5deqUQ3UHDRpEcHAwFy5cID4+ntjYWLp27UrXrl2JjY0lLi6OnJwcgoODGTRoEAB9+vRh1apVAAQGBjJ48GCrrcDAQABWrVrF/fff71AMIiIiIiIiUjKH1pkEyM/PZ9myZSxbtqzcg3j22WcZM2YMu3fv5vnnnyc9PR1PT0/CwsKsOklJSXh6egKQmJhYpNzHx4cGDRqQnp5OXl5esfqenp7WMXl5eWRkZNCgQQN+++23cj8XERERERGR64FDI5NQ8DziJ598QlRUFOnp6URFRfHxxx/TokWLPxTA4sWLufXWW+nYsSMpKSnMnz8fAJvNVqyuMabM5ZdqqyTjx48nIiKCiIgIxo8fX6ZzERERERERuV44NDLZs2dP1q5dS82aNa3E7I477qB169aMGjWKAQMGsGPHjisK4Pjx49Zrf39/vv32W6BgZLFp06bWPi8vL5KTkwFKLD958iTu7u7Y7Xby8vKK1C9s6+jRo9jtdurVq1fq7bb+/v74+/tf0bmIiIiIiIhcLxwamVy4cCFubm7YbDYSExMJCwsjMTERm82Gm5sbCxYsuOIAPDw8rNePPfYY+/fvByA0NJQRI0bg4uJCixYtaNWqFbt27SIiIoJWrVrRokULatSowYgRIwgNDQVgy5YtDB06FABfX19CQkKstnx9fQEYOnQomzdvvuJ4RURERERExMGRyTZt2mCMYcqUKXzwwQdW+cSJE3n33Xe58847Heps+fLl9O7dm4YNG5KYmIifnx+9e/emY8eOGGOIj4/n6aefBuDAgQOsXLmSAwcOkJuby8SJE8nPzwcKnrFcv349drudTz/9lAMHDgAwffp0goODmTNnDpGRkSxZsgQoWJLks88+IyYmhlOnTjFixAjHr5CIiIiIiIgUYwNKfnjwIvv27aNNmzbUq1ePM2fOWOW1a9fm9OnTREVF0b59+4qMU64BTzRaVNkhSBW0/MSUyg5BRERERK6AQ7e5zpgxg/z8fMaOHVuk/MknnyQ3N5eXXnqpQoITERERERGRqqnUkclNmzYVed+uXTsaNGhAYmIiSUlJeHl50bRpU06ePMn+/fvp27fv1YhXqjGNTEpJNDIpIiIiUj2Vmkzm5eUVWz6jcCbX3y/FYYzB2dnhJSvlOqVkUkqiZFJERESkeio1A0xISCh1LUYRERERERG5vpWaTN5yyy1XMw4RERERERGpRhyagEdERERERETkYg4/6Ni6dWv+/Oc/07RpU1xdXYvtHzduXLkGJiIiIiIiIlWXQ8nkqFGjCAgIKDLpzu8pmRQREREREbl+OJRMvvrqqzg56Y5YERERERERKeBQhnjTTTdhjGHo0KG4urpit9uLbSIiIiIiInL9cCiZXLt2LQA//fQTubm5FRqQiIiIiIiIVH0O3eb6P//zPzRt2pStW7cSEBBAQkJCsaTys88+q5AARUREREREpOqxAeZyle6++25CQ0Np1KhRifuNMdSoUaO8Y5NrzBONFlV2CFIFLT8xpbJDEBEREZEr4NDI5EcffUSjRo0uOZuriIiIiIiIXD8cSiZbt24NwNtvv83mzZvJzs6u0KBERERERESkanMomQwPD6dXr168+eabZGRkVHRMIiIiIiIiUsXZgVmXq5SQkMAjjzyCj48PR48excnJiRtuuIF69epZ2+nTpys+WqnW7qo9sLJDkCpo39l1lR2CiIiIiFwBhybgudxyIJqARxyhCXikJJqAR0RERKR6cug2V028IyIiIiIiIhdzKJl87bXXKjoOERERERERqUYcSiZnz55d0XGIiIiIiIhINeJU2QGIiIiIiIhI9ePQyKQm4BEREREREZGLaQIeERERERERKTOHksnAwMAi7+12Oy1atKB79+6cO3eOlStXVkhwIiIiIiIiUjXEVNd4AAAgAElEQVQ5lEw+9dRTJZbfd999fP/99/z888/lGpSIiIiIiIhUbX9oAp4tW7aQlZXF5MmTyyseERERERERqQYcSiZHjx5dbBs/fjxffvklderUoXHjxg51tmTJEo4dO8a+ffussvr167Nhwwaio6PZsGED7u7u1r5FixYRExPDnj178Pb2tsrHjBlDdHQ00dHRjBkzxirv1KkTe/fuJSYmhkWLFjnUh4iIiIiIiJSdDTCXq5SXl4cxpVfbtGkT/fv3v2xnPXv2JCsri6CgIO666y4A5s6dy6lTp5g7dy7Tp0+nfv36zJgxg4EDBzJp0iQefPBBfHx8WLRoEd26daN+/frs3r2bLl26YIzhxx9/pHPnzqSnpxMeHs6UKVMICwvju+++491332XdunWl9iFX1xONFl2+klx3lp+YUtkhiIiIiMgVcPg2V5vNVuIWERHBhAkTHGpj+/btnDp1qkjZoEGDrAl+AgMDGTx4sFUeFBQEQHh4OO7u7nh4eNC/f382btxIWloa6enpbNy4kQEDBuDh4UHdunUJCwsDICgoqEhbJfUhIiIiIiIiV8ahCXjuu+++YmXnz58nKSmJo0eP/qEAmjRpQmpqKgCpqanWLbOenp4kJiZa9ZKSkvD09LxkeVJSUrHyS/UhIiIiIiIiV8ahkclt27YV28LDw/9wInkpJa1taYwpc3lZjR8/noiICCIiIhg/fnyZjxeRa9/EiROJiIggOzubpUuXWuVPPPEEmZmZ1nbmzBmMMXTq1KnUtoYPH86BAwfIysoiNjaWHj16ONTWyJEjSU5O5siRI/Tq1ctqr2XLlvzwww84Of2h+dVERERELqvUkcl77rmnTA3t3LnzigI4duwYHh4epKam4uHhwfHjx4GCkcWmTZta9by8vEhOTiYpKYnevXsXKd+6dStJSUl4eXkVq3+pPkri7++Pv7//FZ2LiFwfkpOTmTNnDv3798fNzc0qX758OcuXL7fe+/r68sorr/DTTz+V2E7fvn2ZO3cuw4cPZ9euXdx0000OtWW323nrrbfo1KkTnTt35v3337eeQ3/33Xd57rnnyM/PL+/TFhERESmi1GRyx44dDo/sGWOoUaPGFQUQGhqKr68vc+fOxdfXl5CQEKv82WefJTg4GB8fHzIyMkhNTWX9+vW88cYb1oys/fr146WXXiItLY3MzEx8fHwIDw9nzJgxvPfee5fsQ0TkSqxevRqALl26FPkS6/d8fX2tZ79L8tprrzF79mzCw8MBrC/ALtdWgwYNOHr0KKmpqXz//fe0bNkSgCFDhnD06FGrPREREZGKdMlnJku6dfSPWL58Ob1796Zhw4YkJibi5+fHW2+9xcqVKxk3bhwJCQk8/vjjAHz33Xc8+OCDxMbGcvbsWcaOHQtAWloaf//734mIiABg9uzZpKWlAfDMM88QEBCAm5sba9euZe3atQCl9iEiUlGaNWvGn/70J5566qkS9zs5OdGlSxdCQ0OJiYmhZs2afPPNN0ybNo3s7OxLtnXixAkaNGiAp6cn3t7eREVFUbt2bWbOnMn9999f4ecmIiIiApdYGuTVV18t9aA77riDoUOH4uTkhM1mwxiDs7NDc/nIdUxLg0hJqvPSIH//+9/x8vKyvuy6WGFiV9IEZgA33XQTycnJ7N69m0ceeYScnBxCQkLYunUrM2fOvGxbffr04fXXX+f8+fNMmTKFMWPGEBUVxeHDh/Hz8+PChQs8//zzREVFle9Ji4iIiPx/pWaAs2fPLlbWoUMH/u///o/Bgwdjt9sxxvDNN9/wxhtvVGiQIiLVzZgxYy75u/HcuXMAvPfee9Zs0++88w4zZ84slkyW1NbmzZutZ9vvuusuunTpwrRp04iPj6dHjx40bdqUf/7zn2V+/l1ERETEUQ4NJ3bv3p2XX36Z/v37Y7PZyM3NZdmyZbz55pscOnSoomMUEalW7r33Xm6++WZWrVpVap309HQSExMv+2y6I229//77TJ48mYYNG2K320lISCA1NZX27dtf8TmIiIiIXM4lk8n+/fvz8ssv0717d2w2G+fPn2fp0qXMmzePX3/99WrFKCJSpdjtdpydnbHb7djtdlxdXcnNzSUvLw8omCznq6++Iisr65LtLF26lEmTJrFu3TpycnKYOnUq3377bZE6l2vrr3/9K5GRkezZswe73Y6bmxtt2rShWbNmHDlypHxOWERERKQEpSaTu3fvpmPHjgDk5eXx5ZdfMn/+fOt2rIunsAdISUmpwDBFRKqOmTNnMmvWLOv96NGjmTVrFq+99hqurq4MGzaMIUOGFDvupZdeomfPnjz44INAwTOXDRs2JDo6muzsbFauXMnrr79u1b9UW1Awq+uUKVO49957gYLf1c8++yybN28mOzu7xGc5RURERMpLqRPw5OXlXZWlQeT6oQl4pCTeDXIrOwSpYqYder6yQxAREREHXNWlQUREREREROTaUGoyGRgYeDXjEBERERERkWqk1GSytIW2RURERERERJwqOwARERERERGpfpRMioiIiIiISJkpmRQREREREZEyUzIpIiIiIiIiZaZkUkRERERERMpMyaSIiIiIiIiUmZJJERERERERKTMlkyIiIiIiIlJmSiZFRERERESkzJRMioiIiIiISJkpmRQREREREZEyUzIpIiIiIiIiZaZkUkRERERERMpMyaSIiIiIiIiUmZJJERERERERKTMlkyIiIiIiIlJmSiZFRERERESkzJRMioiIiIiISJkpmRQREREREZEyqzLJZFxcHHv37iUyMpKIiAgA6tevz4YNG4iOjmbDhg24u7tb9RctWkRMTAx79uzB29vbKh8zZgzR0dFER0czZswYq7xTp07s3buXmJgYFi1adPVOTERERERE5BpUZZJJgPvuuw9vb2/uvvtuAGbMmMGmTZu4/fbb2bRpEzNmzABg4MCBtGrVilatWjFhwgQWL14MFCSffn5++Pj40LVrV/z8/KwEdPHixUyYMME6bsCAAZVzkiIiIiIiIteAKpVM/t6gQYMIDAwEIDAwkMGDB1vlQUFBAISHh+Pu7o6Hhwf9+/dn48aNpKWlkZ6ezsaNGxkwYAAeHh7UrVuXsLAwAIKCgqy2REREREREpOyqTDJpjGHDhg3s3r2b8ePHA9CkSRNSU1MBSE1NpXHjxgB4enqSmJhoHZuUlISnp+cly5OSkoqVi4iIiIiIyJVxruwACnXv3p2UlBQaNWrExo0bOXToUKl1bTZbsTJjTJnLSzJ+/HgmTJgAwCeffIK/v7+jpyAiIiIiInLdqDLJZEpKCgAnTpxg9erVdO3alWPHjuHh4UFqaioeHh4cP34cKBhZbNq0qXWsl5cXycnJJCUl0bt37yLlW7duJSkpCS8vr2L1S+Lv768EUkRERERE5DKqxG2utWrVok6dOtbrfv36sX//fkJDQ/H19QXA19eXkJAQAEJDQ62ZWn18fMjIyCA1NZX169fTr18/3N3dcXd3p1+/fqxfv57U1FQyMzPx8fEBCmZ8LWxLREREREREyq5KjEw2adKE1atXA+Ds7Mzy5ctZv349ERERrFy5knHjxpGQkMDjjz8OwHfffceDDz5IbGwsZ8+eZezYsQCkpaXx97//3VpaZPbs2aSlpQHwzDPPEBAQgJubG2vXrmXt2rWVcKYiIiIiIiLXBhtQ8sODIuXsiUZa31OK826QW9khSBUz7dDzlR2CiIiIOKBK3OYqIiIiIiIi1YuSSRERERERESkzJZMiIiIiIiJSZkomRUREREREpMyUTIqIiIiIiEiZKZkUERERERGRMlMyKSIiIiIiImWmZFJERERERETKTMmkiIiIiIiIlJmSSRERERERESkzJZMiIiIiIiJSZkomRUREREREpMyUTIqIiIiIiEiZKZkUERERERGRMlMyKSIiIiIiImWmZFJERERERETKTMmkiIiIiIiIlJmSSRERERGRSjRx4kQiIiLIzs5m6dKlpdbz9fUlNzeXzMxMa+vVq1eROpMnT+bIkSNkZWVx4MABWrVqBUD79u3Zv38/J06cYOrUqVZ9Z2dnwsLC8PLyqpiTk2uac2UHICIiIiJyPUtOTmbOnDn0798fNze3S9bduXMnPXv2LHHfuHHjGDduHA899BAHDx6kZcuWpKWlAfDmm2/ywgsvsHfvXvbu3csXX3zBsWPHeO655/jqq69ISkoq9/OSa59GJkVERESukvr16/P111+TlZVFfHw8I0eOLLFevXr1CAgI4NixYxw7dgw/P78i+2fPns3evXvJyckptk8jUNXP6tWrCQkJ4bfffrviNmw2G35+fvztb3/j4MGDABw5csRKJm+55RY2b95McnIyMTExNGvWjKZNmzJkyBAWLFhQLuch1x8lkyIiIiJXyQcffMCFCxdo0qQJo0aNYvHixbRt27ZYvQULFlCrVi1atGhB165dGT16NE8++aS1PzY2lhdffJE1a9YUO7ZwBKpDhw7MnDmTJk2aAGgE6hrh7e3NiRMn+OWXX5g5cyZ2ux0ALy8vmjZtSrt27UhISODIkSPMmjULm80GwP79++nXrx+enp60aNGCw4cP8+677/Liiy+Sm5tbmack1ZiSSRERkQrg6AjUCy+8wL59+zh9+jRHjhzhhRdesPY1atSI5cuXc/ToUdLT09mxYwddu3a19msEqnqpVasWQ4YM4ZVXXuHMmTP88MMPhIaGMnr06GJ1H3nkEebNm8e5c+f49ddfWbJkCU899ZS1PygoiHXr1pGZmVnsWI1AXbu2bdtGu3btaNy4MUOGDGHkyJFMmzYNwPr/3q9fP+666y7uu+8+Ro4cybhx44CC3zXPPPMMoaGh/O1vf6N79+5kZmZy5MgRvvnmG7Zu3crQoUMr7dykelIyKSIiUgEcHYGy2WyMGTOG+vXrM2DAAJ599lmGDx8OQJ06dYiIiKBz587ceOONBAYGsmbNGmrXrg1oBKq6uf3228nLyyMmJsYq27NnD3feeWeJ9QtHlApft2vXzqF+NAJ17YqLiyM+Ph5jDPv372f27NlWAnju3DkA5s2bR0ZGBr/++isff/wxDz74IAAJCQk89NBDdO7cmZCQEGbPns0LL7zAP/7xD1asWMGjjz7KO++8Q/369Svt/KT6UTIpIiJSzsoyAvX2228TGRlJXl4e0dHRhISE0L17d6DgD8cFCxaQmppKfn4+/v7+uLi40Lp1a0AjUNVNnTp1yMjIKFKWkZHBDTfcUKzuunXrmDFjBnXq1OHWW2/lqaeeolatWg71oxGo64cxxvrS4ZdffuH8+fMYYy573Kuvvso///lPjh8/zl133cXu3bs5ffo0SUlJ3HbbbRUdtlxDlEyKiIiUs7KOQF2sZ8+eREVFlbivQ4cOuLi4EBsbC2gEqrrJysqibt26Rcrq1q1b4q2qkydP5ty5c8TExBASEsIXX3zh8EizRqCqH7vdjqurK3a7vcjr3xswYACNGzcGoHXr1rzyyiuEhIQABSOTK1as4MUXX6ROnTp4enoyfvx4vv322yJttGnTht69e7N48WKg4EurPn360LhxY1q1akVCQkIFn61cS7Q0iIiISDkrywjUxWbNmoWTk1OJ68zdcMMNfPbZZ7z22mucPn0aKBiBWrx4MR4eHiWOQLm7u/P++++zatWq8js5uWLR0dE4Oztz2223WV8IdOjQocQvD9LS0vjLX/5ivX/99dfZtWtXmfv8/QjUzJkzi4xARUREXPkJVQFJqwZWdgjl4oY2o6jbdpT1fvTo0Zw+8Dln4zfQuN9HHN/wP+SdO0Hdu8ZRq1kfbM5u5J9P42zCFiZ0+IkJ//862JxDcO8wmYxTx8jPOcPZuHXMfjCF2Q/+9zo17PkmGfsDSFjZHwBnlzU8MO9lPlg0l6xfVvLjB52u7slXAK+hays7hOuGkkkREZFyVpYRqEITJ05kzJgx9OzZkwsXLhTZV7NmTf71r38RFhbGW2+9ZZUXjkABuLm58Z///If+/fvz3nvvsWLFCtasWcP+/fvZtGmTtTyAVJ6zZ8/y9ddfM3v2bP7617/SsWNHBg0axL333lusbsuWLUlPTyc9PZ1+/foxYcKEIovTOzs7Y7fbcXJywtnZGVdXV3JycsjPz7fqFI5AXXzbdJ8+fcjIyNAIVBWTefBzMg9+XuK+lJAh1uvT+5Zwet+SUtsxuedI2zX3kn2d3P5Skfe5GXEc3/g/ZYhW5L+uq9tc+/fvz6FDh4iJiWH69OmVHY6IiFyjLh6BKlTaCBTA2LFjmTFjBvfffz9Hjx4tss/FxYVvvvmGo0eP8vTTT5fap56Bqh7+93//Fzc3N44fP84XX3zBM888w4EDB+jRo0eRLxs6d+7Mvn37yMzM5M0332TUqFEcOHDA2u/v7092djZPPPEEM2fOJDs7u9gzuR988AFTpkyxEsyXXnqJyZMnExUVxRtvvMGxY8euzkmLyDXLBlz+Kd1rgJOTE9HR0TzwwAMkJSURERHByJEjrUVdpeI90WhRZYcgVZB3Az3XJUVNO/R8ZYdQLr744guMMdYI1Hfffce9995bJCEAeOKJJ5g/fz733Xcfhw4dKrLP2dmZr7/+mry8PIYOHUpeXl6JfbVp04ZPP/2U7t27k5+fz5o1awgNDWX16tVERUXRrl27ap84RM+eUNkhSBVUq21iZYcgVZBuc716rpuRya5duxIbG0tcXBw5OTkEBwczaNCgyg5LRESuUY6OQM2ZM4cGDRoQERFBZmYmmZmZ1sQY9957L4888gj9+vUjPT3d2t+jR48ifWkESkREKsN1MzI5ZMgQBgwYwPjx4wH4y1/+go+PD5MmTarkyK4fGpmUkmhkUn6vY0c92yfFNW97vLJDkCpII5NSEo1MXj3XzQQ8Fy/8W6ikdXjGjx/PhAkFt9LUrFmT7OzsCo9NRERELi3j8lXkOqTPhZQkImJ2ZYdwTTl58iQDB5Y8c/J1k0wmJSXRtGlT672XlxfJycnF6vn7++Pv7381QxMREREREal2rptnJiMiImjVqhUtWrSgRo0ajBgxgtDQ0MoOS0REREREpFq6bkYm8/LyePbZZ1m/fj12u51PP/202Ix6IiIiIiIi4pjrZmQSYO3atbRu3ZrbbruNN954o7LDEREpN35+fhhjiIuLq+xQqiVjDMYYfH19S62zdOlSjDFs2bLlKkZWfTVv3ty6rr169arscK6qXr16WefevHnzUuvpMyUi1d11lUyKiJSHLVu2VNofgIV9L126tEh5UlISYWFhREZGXtV47r33Xr788kuSk5PJzs4mISGB1atX07t373Lvy9fX1/oDvTIcPnyYsLCwcrmrpTCJMMbg5+dnlV+chHTu3LlMbcbFxRVrrzSurq74+flx6NAhzp49y6lTp9i/fz/Lli2jdu3aZT6fkpw/f56wsDDCwsI4ffp0ubRZXoYNG2Zd53PnzuHu7l6u7Z8+fdo69/Pnz5dr2466npN5Ebl6rpvbXEVErmVLlixhyZIlV7XPiRMnsmjRIux2Ozk5OcTGxlKvXj0GDx5Meno6W7duvarx/F6NGjXIyckpt/bmzJnDnDlzyq29Qn/729949913SUu7ekuizJ8/n4kTJ5KXl8ehQ4dwcnKiZcuW3HnnnTz//POcOXPmD7Vfo0YNUlNTueeee8op4vI1ZswY63XNmjUZPnw4H3/8cbm1HxkZWWXPXUSkvBlt2rRp0+b4tmXLFmOMMVu2bDGAKeTr62vV+X2Zr6+vVda3b1+zd+9ek5WVZTZu3Gg8PT2t42w2m5k6darZt2+fOXfunDl16pTZtGmTqV+/vomLizMlad68ufHz8zPGGBMXF2e1Zbfbzf/93/+Z6Ohoc/78eXPy5EmzYsUK07JlS6vOxceNHDnSxMbGmoyMDPPll1+aevXqlXoN7rzzTpObm2uMMSYiIsJ4eXlZ+1q3bm2GDRtmvff29jbffvutSUtLM9nZ2Wbfvn3mmWeeKdJeoRdeeMGsWLHCZGVlmdjYWDNkyJAicf6en5+fad68ufV+/PjxZuvWrSY7O9u69mXp/+Kf4e+3pUuXFvm5OxL35doq9PrrrxvA9OrVyyrr3Lmzw9ewNKX1n5qaaowx5sknn7TKXFxczCOPPGJq1aplldWvX998+OGHJikpyZw/f94cPnzYzJgxw9hsNqtO4efy7bffNoGBgeb06dNm6dKlRX4uvXr1sur36dPHbNmyxWRmZpqzZ8+aXbt2mccff9zaf/E1aN68ealld9xxh/n222/N8ePHzblz50x8fLz55ptviny+S9oaNWpkLly4YIwxZvfu3cYYY3bs2FGsnqenp1m6dKlJTk4258+fNwkJCcbPz8+h/SXFa7PZzLx588ypU6fMiRMnzKxZs0xAQECxz1TNmjXNm2++aY4cOWLOnz9vEhMTzbx584yrq2ux30FBQUHm9ddfN8ePHzepqaklfo4uVtjPww8/bMLDw016errJzMw0Bw8eNEFBQZX+u1WbNm3Vcqv0ALRp06atWm1/NJk8d+6cOXjwoJWMBQcHW8d99NFHVr3k5GSrXvPmzc3XX39tMjIyjDHGHD9+3OzcudPs3LnTeHh4lJhMFv6haowxBw4cMJmZmcYYY1JSUkzjxo0N/DdJu3DhgsnOzjaHDh2yjnnrrbdKvQZvv/22Va9Dhw6l1mvbtq3Jysoyxhhz6tQpEx0dbR138R/mhQr/KD916pQxxpisrCzToEEDM27cOBMbG2vVKzz3cePGFUlasrOzzbFjx0xUVJQZM2ZMmfu/0mSytLgv11Z8fLz57bffzOnTp02DBg1KTCYdOYedO3ea7OxsY4wxiYmJ1vUprf/jx48bY4z517/+Ze6//35Tt27dYnVcXV3N3r17jTHGZGZmmp9//tlKwhYsWGDVK0wms7OzTWZmptmzZ4/56KOPSkwm77//futzn5qaauLj4606hYmto8nkTz/9ZIwx5uTJk+bHH380KSkpRfoqbZsyZYoxxpijR4+arl27Wu3eeuutVp2GDRuahIQEY4wxubm5JioqyqSkpFg/+8vtLyne559/3io7cuSI+e2336z/kxd/pjZs2GBdz59//tmcOXPGGGPM6tWri/0OOn/+vElLSzO//vqr1faAAQOMt7e3dX2MMSYqKsrs3LnTfPDBB6Zhw4bWZyU+Pt7s2bPHpKenG2NK//JBmzZt2i6xVXoA2rRp01attj+aTD799NMGMP/4xz+sP6oBc8stt5i8vDxjjDEff/yxcXJyMoC59dZbTZ06dYr0vXTp0iIx/T6ZvPXWW63+pk+fbrV/7tw5Y4wxr732WpHjjDGmf//+BjCrVq0yxhgTFhZW6jX49ttvjTHGZGRkXPJaBQUFWX+4169f3wDmk08+McYYc/bsWWsUrND27duN3W437dq1K/LH8e+v4cV9XJy0fP/998bFxcUAxsnJqcz9X2kyeam4L9XWvn37zMsvv2yMMWbevHklJpOOnkNhUndxklzaNmfOHHOx3NxcExYWZkaPHm3VefLJJ40xxpw+fdoaeX7kkUeMMQVfPjRq1KhIv6mpqeamm26yrn1JyeS2bduMMcb89NNPxtXV1Tg5OZm1a9caY4z59ddfDTieTJ4+fbpI21AwWlkYV2nbjz/+aIwxZv78+QYwBw8eLHbdCv9f5OTkFGm/8IuTy+0vKd6kpCRjjDEhISEGMDfeeKM5ceJEkc9U7969jTHG5OXlGW9vbwOYu+66y2qrY8eORX4PpKWlmSZNmhgXFxer/cIvgUobGe7UqZMxpuALDzc3NwMFo6Y9evSotN+p2rRpq76bJuAREbnKgoODATh48CAAjRo1AqBz5844ORX8Wp4/fz75+flAwcQvWVlZZeqjU6dO1usVK1YABRO07Nq1y+rrYunp6axfv75IXI0bNy61fZvNBnDZyXAK+9m4caP1TOAXX3wBgJubG23bti1Sf9WqVeTl5VkxXC6O3/vkk0+4cOECAPn5+WXu/0r9kbgXLVrEiRMnmDhxIh4eHsX2V8Q5zJw5kxEjRrBu3TrOnj2L3W7Hx8eHoKAgxo4dC0CXLl0AuOGGG0hMTMQYY63PXKNGDby9vYu0+fXXX5OSkgJgfXZLO5fQ0FDOnz9Pfn4+K1euBKBZs2Y0bNjQ4XNYs2YNABs2bCAqKooVK1bQtWtXTp48Weoxbdu2tf5vLFu2DPjvtRw9erRV7+677wYK1qj+97//bZXv2bPHof2/d8MNN+Dp6QnA6tWrATh16lSRY+G/19zJyYmffvoJYwx79+619nft2rVI/a1bt3Ls2DEuXLhgzeR8uc/dgQMHiIuLo3bt2hw7doyIiAg++eQTnJ01jYaIlJ1+c4iIlBO73Q4U/OF4KRkZGcD/Y+/O43M68/+Pv+7EEkQssSsJLVqKWCLWhFS1qiVKCb6kRnVGx5J22tJV0ZmhxtbQhSJi16Kixp5IUBKy20OTqL0hiF2S8/sjv5xKE5Fb0onl/Xw8rsfjvs+5ls+5k7vNx3Wu60BaWhqAmUBmJWhw7yStsF28eNF8nRXXnfH80YEDB3jppZcoV64czz77LPv27SvUONLT081jecXxR2fPni2UOKxVkLivXr3KF198weTJkxk9evSfEl9uli9fzvLlyylWrBju7u4sWbKEqlWr0r17d+bPn2/Gf/XqVeLi4nK0z0rasxTWZ3/n737Wd8rBwSFHvf/7v/9j7dq1dOzYkUaNGtGzZ0/69OlD1apVmTx5cq5937nxTlBQEICZRD355JO0a9eOnTt33vMfS/L7jyl/rH+vNln10tLS2Lt3b47zqamp2d5b+70FuHHjBs2bN8fHxwc3NzcaN27MG2+8wV/+8hfatm1LWFjYvS9IROT/08ykiEgBnTt3Dsj8YxTg5Zdfvq9+9u7da87ovP322+Yfhc7OzubjGq5duwZwz8c3REZGmq/79g/bQs4AACAASURBVO0LQJ06dcyZjYiIiPuKMYu/v7+ZOM2dO9ecdQF46qmn6NOnT7Zxnn/+eSpUqABAv379ALh+/bpVj9nIunaA0qVL56tNYY7/Z5o1axZnzpzJMdsH+b+G/P5uAHzxxRe4uLgAmUlIaGio+Xuc9RiPrGTGYrEwePBg2rRpQ5s2bejcuTOzZs26r916s66le/fulCxZEovFYv6uHD9+nOTkZH777Tezfl7fqQ4dOvD999/z5ptv0q5dOwICAszjubFYLPTv3998X758ecqXL4+9vb15LGt2MmsGv1WrVtn6a9y4cb7O/9Hly5c5efIkAF5eXgBUqFABd3f3bPWyPvNixYoxZswY8zP38PDgiy++4L///W+u/efmzu/Lnb8TZcuWpX79+syYMYP+/fvTuHFjjh49io2NDe3atct3/yIiWYr8XlsVFRWVh6n8cc3k8uXLDcPI3DAjKCjI3CzFMHJfM5nVT27H7tyA5+TJk8aBAweM27dvm+uupkyZYhhG5hq3iIgIY/369QbkXDMJd9+A58yZMzk24LmzXW7HcivDhw8313jeunXL2L9/v5GUlGSkp6ebazrv3Dzm/PnzVm2A88djd64dS0xMNHbt2mW0bdv2rmvDCjr+H0teaybzijuvvuLi4sxjWRvDZMltA568rmHlypWGYWT+HoaHhxvz5s276/hZa/VSUlKMqKgo4+zZs2af3bp1MyBzV9H9+/ebP9+YmBgjPj7euHnzpmEYv//O3m2t5r024Dl9+nSuG/AUK1bM+PXXXw3DyNxoaseOHWYbw/h9DeKvv/5qXLlyxThw4IARExNj1sna0fSP5bnnnjP7aNWqVbZz48aNMwwjc4OjEiVKGJUqVTJjSEtLM/bt22ecPHky2wY8eZ3Pbc3ku+++ax47duyYkZycbK5hvvN3auvWrYZhZK6b3Ldvn3Hw4EHj2rVr2frKbe10bseyfs7nz583du/ebQwfPtxcT52cnGxER0cbx44dM+N6/vnni/y/ryoqKg9X0cykiIiVsv6VP+uWs3feeYctW7aQlpZG1apV8fb2vu++hw0bxjvvvMO+fftwdHSkRo0abN++3Zwt+s9//sPmzZu5du0azZs3N9dY5WbIkCF8/PHHxMfH8+STT3Lz5k1WrFhB27ZtzVmogpg5cybu7u6sXLmS8+fP89RTT1G8eHHWrVvHggULgMzbYTt06MC6deuwtbWldu3a7Nu3j7feeotx48ZZNV5cXBzjx4/nzJkzODk50bp1a3Om7m4Kc/w/2zfffGPOXt0pv9fw8ccfs2vXLjIyMnB1db3rLBnARx99xNq1a7l06RINGjTA3t6eiIgIfHx8zLWIN27coEOHDnz11VecOXOGZ555hjJlyrBjxw7efvvt+7rGrVu30qVLF7Zt24a9vT1VqlRh79699OnTB39/fyBzprR///7s27cPe3t7bt68yfDhw3P0NX/+fA4dOkS1atWoX78+x48fZ+rUqXf9uWbNOp46dcqcWcyyZs0aIHO2sHv37iQnJ9O6dWv8/f357bffqFevHunp6eYax3udz83UqVOZOnUqFy9epEKFCsyfP5/vv/8+R72XX36Zf//73yQkJFCvXj0cHR2Jiorio48+svpW4qFDhxIfH4+DgwNubm44OTlx/vx5M+4nn3ySKlWqEBsby9/+9jc2b95sVf8iIhYys0oREbmHkiVL8txzz7FmzRqKFSvGlClTePfdd4s6LBEREZEioWRSRCSfgoOD6dixI5C5Vu3ZZ5/ll19+KdqgRERERIqIbnMVEcknwzC4fPkyQUFBvPjii0okRURE5LGmmUkRERERERGxmmYmRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGpKJkVERERERMRqSiZFRERERETEakomRURERERExGrFijqAB9n69eupVKlSUYchIiIiIiJSJJKTk+natWuu5yyA8b8NR0RERERERB52us1VRERERERErKZkUkRERERERKymZFJERERERESspg14REREROShVqFCBXx9fXF2dsZisRR1OCIPHcMwSExMZPr06aSkpFjXVkVF5e7FycnJWLdunXHhwgXj9OnThp+fn2Fra2s4OjoaO3bsMJKTk42UlBTj559/Ntq2bXvXfiZNmmQcP37cuHTpkpGYmGh8+OGH2c7b2NgYEyZMME6ePGlcvnzZiIyMNMqVK2cAhqenp/HLL78Yp06dMvr06WO2KVeunBEREWHY29sX+eekoqKioqJSVGXcuHHGK6+8Ytja2hZ5LCoqD2OxtbU1unfvbowbN87atkUfvIrKg1zWrVtnzJ8/3yhZsqRRtWpVIzY21hgxYoRRsmRJo379+obFYjEAo0ePHsb58+fv+j+y+vXrG6VLlzYAo0aNGsa+ffuMnj17mucnTJhgbN261ahdu7YBGI0aNTJKlixpAEZsbKzRqFEjo0mTJsb58+cNGxsbAzC++uor47XXXivyz0hFRUVFRaUoy4IFC5RIqqgUsNja2hoLFiywqo1ucxW5hzp16jBz5kxu3rzJ2bNn2bBhA40aNeLmzZscOXIEAIvFQnp6OhUrVqRixYr89ttvOfrJqpslIyODp556CoDy5cvj6+tL06ZNOX78OAD79+8365YpU8Z8f+vWLRwdHXF2dqZOnTq89dZbf8p1i4iIPCyy/j8sIvcvPT3d6tvEtQGPyD3MmDEDb29vSpUqRY0aNejatSsbNmwwz8fExHDjxg3Wrl3LnDlzck0ks4wePZrU1FROnjxJmTJlWLJkCQCNGzcmLS2N3r17c/r0aQ4fPpwtSTx37hxNmjShSZMmZGRkkJKSwvTp0xk5cuSfd+EiIiIiInlQMilyDyEhITRq1IjLly9z8uRJ9u7dy48//mieb9q0KQ4ODvTr148dO3bk2dekSZMoW7YszZo1Y+HChVy6dAmAJ554gvLly1O/fn3q1KlD7969+eyzz+jcuTMAf/vb35gxYwazZ89m4MCBDBs2jK1bt2JnZ8eGDRsICgrC3d39z/sQRERE5KGwc+fOQu3vgw8++FP7Lyx/jDO/EhIScHR0LORoHi9Ffn+uisqDWiwWi5GUlGR8+OGHRokSJYyKFSsaP/74ozFp0qRc6x84cMBo0qRJvvoePXq0MWXKFAMwvLy8DMMwzPWSgPHll18aU6dOzdGuWrVqRlRUlGFnZ2eEhYUZbdq0MZycnIykpKQi/7xUVFRUVFSKogQEBBR5DI9qSU1NLfIYChpn1v4WuZWEhATD0dGxyON/UIq13yXNTIrkoWLFitSuXZuZM2dy69YtLly4wPz583nppZdyrV+8eHHq1q2br76LFSvGk08+CUBsbCwAhmHcs920adP4+OOPuXHjBo0bN2bv3r0kJSVRvHhxKleunM8rExERkUdRamoqHh4erF271jzm5+eHj48PkDkT99lnnxEREUFsbCwNGjQAMvdnmDdvHrGxscTExPDqq6/y73//m1KlShEVFcWiRYvM/rN88cUXxMXFERsbS58+fQDw8PAgODiY77//noMHD5rt7qZly5bs3LmT6OhowsLCsLe3p2TJkmYskZGRdOzYEQAfHx9WrlzJ+vXrOXLkCJMmTQLIEaeTkxMHDhxg1qxZREZGUqtWLby9vYmNjSUuLo6JEycWzoctwAOQAauoPMjl2LFjxujRow1bW1ujXLlyxqpVq4xFixYZbm5uRrt27YzixYsbdnZ2xvvvv29cvnzZqF69eo4+LBaL8eabbxrly5c3AMPV1dU4deqUMWLECLNOSEiI8c033xglSpQwnn76aePs2bOGp6dntn46d+5srF692ny/f/9+44UXXjAaNmyYbZdXFRUVFRWVx6loZvL3kpqaanh4eBhr1641j/n5+Rk+Pj4GZM7EDR8+3ACMYcOGGXPmzDEAY+LEica0adPMNll/s/xxxi/r/auvvmps2rTJsLGxMapUqWIkJSUZ1apVMzw8PIyLFy8aNWvWNCwWi/Hzzz8b7dq1yzXW4sWLG8eOHTNatmxpAEbZsmUNW1tb45133jHmzZtnAEaDBg2MpKQko2TJkoaPj49x7Ngxw8HBwShZsqSRmJhoPPHEEznidHJyMtLT0w03NzcDMKpXr24kJSUZlSpVMmxtbY2tW7caPXr0MD8PzUz+Xqz9Lmk3V/mf6V95RlGHcF++e2M3gyYM55Mxn5GRbnBg5wn8/7mNbvXeY9C/3KniVI702xn8evA80wdspFPaGKgMbXs1oMeolox2X4zFAm/17cGUiTMoVsKGlDNXCZ13kPPLnjI/lxXD4xk6/UUuXUjlcvJ11n4RQbW4HvSv3AOAYiVsGT+tD1MH/WS2+fGTQyycvYJiJW1ZNCYUb8dpRfY53a8lv40q6hBEREQeK6tWrQIgIiKCV199FYDOnTvj7e1t1rl48WKefbRv356lS5eSkZHBuXPnCAkJwdXVlcuXLxMeHs7JkycBiI6OxtnZOde1lg0aNOD06dPs3bsX+H3Ws3379vj5+QFw+PBhkpKSqF+/PgBbt27l8uXLABw4cAAnJydOnDiRo++kpCTCwsIAcHV1Zdu2bSQnJwOwePFi3N3dWbNmTX4+LsmDkkmRe0jal8w/e67Kcfxy8kk+7LT0ru1+XnmYn1ceBsAw4AvvvP+DlXLmap510m6l86Fn9vH2bz+Bb0v/PPsVERGRx0taWho2Nr+vZrOzs8t2/ubNm0DmoyCKFctMBywWS76W22TJ6xESWf3/cYzc+shtzMLo++rVq/nqTwpGayZFRERERB4hSUlJNGzYkBIlSuDg4MBzzz13zzabNm1i+PDh5vvy5csDcPv27VwTttDQUPr27YuNjQ2VKlXC3d2d8PBwq+I8dOgQNWrUoGXLlgDY29tja2tLaGgoAwYMAKBevXrUrl2bw4cP59nX3eIECAsLw8PDA0dHR2xsbOjXrx8hISFWxSq5UzIpIiIiIvKIMAyDEydOsGLFCmJjY1m8eDFRUVH3bPf5559ToUIF4uLiiI6OplOnTgDMnj2b2NjYHBvprF692tysJygoiPfff5+zZ89aFevt27fp27cvfn5+REdHs3nzZuzs7Pjqq6+wtbUlNjaW5cuX8/rrr3Pr1q08+7pbnABnzpzhgw8+IDg4mJiYGCIjIwkMDLQqVsmdhczFkyJ/uod1zaT8ubRmUkRECiogIIBBgwYVdRhFrmLFikRGRuLs7FzUochDytrvkmYmRUREREQectWrV2fXrl385z//KepQ5DGiDXhERERERB5yp0+fNp8Z+SBatWoVderUyXZs9OjRbNq0qYgiksKgZFJERERERP5UWY8gkUeLbnMVERERERERqymZFBEREREREaspmRQRERERERGrKZkUERERESmgKlWqsHjxYo4dO8bevXv5+eef8fLyAqBFixbMmKFHpBUmJycn+vXrd1/t4uLiAPDw8GDt2rVWtQ8ODqZFixZWj/uo0gY8IiIiIvJIKexnW+fnmcg//vgjCxYsYMCAAQDUrl2b7t27AxAREUFEREShxlRULBYLhlH0j6l3dnamf//+LF26NMc5W1tb0tPTiyCqx49mJkVERERECsDT05Nbt27x7bffmseOHz/OzJkzgd9nwCwWCwkJCZQrV86sFx8fT5UqVahUqRI//PAD4eHhhIeH07Zt2xzjrFu3jsaNGwMQGRnJJ598AsD48eMZMmQIZcqUYcuWLURERBAbG2sms+PHj2fkyJFmP59//jkjRozI0f/bb79NXFwccXFxjBqVmUA7OTlx4MABZs2aRWRkJLVq1crWJiEhAUdHRyBzBjY4OBiAsWPHMnfuXIKDgzl27Fi28QYOHEhMTAzR0dEEBAQAmcn3li1biImJYcuWLeY48+fPZ8aMGezcuZNjx47Rq1cvACZOnEiHDh2IiorC19cXHx8fVqxYQWBgoPm4kS+++IK4uDhiY2Pp06dPXj9CSpcuzdy5cwkPDycyMtL87Ozs7Fi6dCkxMTEsW7aMUqVK5dnP40YzkyIiIiIiBdCoUSMiIyPvWc8wDNasWUPPnj3x9/enVatWJCYmcu7cORYvXsy0adPYuXMntWrVYuPGjTRs2DBb+9DQUDp06EBiYiJpaWm0a9cOgPbt27No0SJu3LhBz549SU1NxdHRkd27dxMYGMjcuXNZtWoVX375JRaLBW9vb1q1apWt7+bNmzN48GDc3NywWCyEhYUREhJCSkoKDRo0YPDgwfz973+36nN5+umn6dSpE2XLluXw4cN8/fXX1K9fn48++oh27dpx/vx5KlSoAMDMmTMJCAggICCAwYMH8+WXX9KzZ08AqlevTvv27Xn66acJDAxk5cqVjBkzhnfffZdXXnkFAB8fH9q0aUOTJk1ISUnh1VdfxcXFhaZNm1KpUiX27NlDaGjoXWP96KOPCAoKYsiQIZQrV47w8HC2bNnCX//6V65du0bTpk1p3Lhxvn7OjxPNTIqIiIiIFKKZM2cSHR1NeHh4jnPLly+nb9++AHh7e7N8+XIAOnfuzMyZM4mKiiIwMBAHBwfs7e2ztd2+fTvu7u60b9+edevWYW9vT6lSpXB2dubIkSNYLBb+9a9/mbN7NWvWpGrVqiQlJXH+/HlcXFzo0qULUVFRXLhwIVvf7du3Z/Xq1Vy7do2rV6+yatUqOnToAEBSUhJhYWFWfw7r1q3j1q1bnD9/nnPnzlG1alU8PT354YcfOH/+PAApKSkAtGnThiVLlgCwcOFC2rdvb/bz448/YhgGBw8epGrVqncdb/PmzWZ/7du3Z+nSpWRkZHDu3DlCQkJwdXW9a9suXbowZswYoqKi2LZtG3Z2dtSuXRt3d3cWLVoEYM5yyu80MykiIiIiUgD79+83b78EGD58OI6OjuzduzdH3V27dvHUU09RqVIlvLy8+PzzzwGwsbGhTZs23Lhx467j7Nmzh5YtW/LLL7+wefNmKlWqxNChQ831mAMGDKBy5cq0aNGCtLQ0EhISsLOzA+C7777j9ddfp1q1asybNy9H3xaL5a7jXr169a7n0tLSsLHJnJ/KGivLzZs3zdfp6ekUK1Ys32su76xzZz/5jTOvermxWCz06tWLI0eO5BmLZKeZSRERERGRAggKCsLOzo6//e1v5rHSpUvftf7q1auZOnUqBw8eNGcIN23axPDhw806TZs2zdHu9u3b/Prrr/Tp04fdu3ezfft23n33XbZv3w5AuXLlOHfuHGlpaXTs2BFnZ+dsY7744ou4urqycePGHH2Hhobi5eVFqVKlKF26ND179jT7zUtiYqK5u+mdCfXdbN26lT59+lCxYkUA8zbXn3/+GW9vbyAzKd6xY0ee/aSmplK2bNm7ng8NDaVv377Y2NhQqVIl3N3dc50pzrJx48Zs6zpdXFzMfrI2VWrUqBFNmjS55zU+TpRMioiIiIgUkJeXFx4eHvzyyy+EhYWxYMECRo8enWvd5cuXM3DgQPMWV4CRI0fSsmVLYmJi2L9/f7bE9E7bt2/n7NmzXL9+ne3bt1OrVi0z6Vu8eDEtW7Zkz549DBgwgIMHD5rtbt++TXBwMCtWrCAjIyNHv1FRUfj7+xMeHk5YWBjfffcd0dHR97zucePGMWPGDEJDQ/O1g+qBAwf45z//SUhICNHR0UydOtW8/sGDBxMTE8PAgQPNDYDuJjY2lrS0NKKjo/H19c1xfvXq1cTGxhITE0NQUBDvv/8+Z8+evWt/EyZMoHjx4sTGxhIXF8eECRMA+Prrr7G3tycmJob3338/z4T0cWQBNG8r/xOFvU23PBrys926iIhIXgICAhg0aFBRh/FAs1gsREZG8tprr3H06NGiDkceUNZ+lzQzKSIiIiLyCHvmmWc4evQoW7duVSIphUob8IiIiIiIPMIOHjzIk08+WdRhyCNIM5MiIiIiIiJiNSWTIiIiIiIiYjUlkyIiIiIiImI1JZMiIiIiIiJiNSWTIiIiIiKFwMvLC8MwaNCgQb7qjxo1ilKlSlk1xv20AWjQoAFRUVFERkZSt25dRowYwYEDB1i0aBGvvPLKXZ+JmV/jxo3jueeeK1AfuUlISMDR0bHQ+5XCod1cRUREROSRMvnpKYXa33uH/pGvev369WP79u14e3szbty4e9b39fVl0aJFXL9+Pd+x5NXGxsaGjIyMXNt5eXmxZs0aPvvsMwDeeustunbtSmJiIgBr167Ndwy5GTt2bIHay8NJM5MiIiIiIgVUpkwZ2rVrx5AhQ/D29jaPe3h4ZEvU/Pz88PHxYcSIEdSoUYPg4GCCgoIA8Pb2JjY2lri4OCZOnJhjjNzapKamMm7cOHbv3k2bNm345JNPCA8PJy4ujm+//RaArl274uvryxtvvEFQUBBff/01devWJTAwEF9fX3x8fPDz8wOgSpUqrFq1iujoaKKjo2nTpk22GGxsbJg/fz5xcXHExsbi6+sLwPz58+nVq5c53sGDB9m+fTszZswwr3/s2LHMnTuX4OBgjh07xogRI8x+V69ezd69e9m3bx9Dhw4t2A9D/mc0MykiIiIiUkBeXl5s2LCB+Ph4Lly4QLNmzYiKirprfT8/P9555x06derE+fPnqV69OpMmTaJFixakpKSwadMmevTowZo1a+7aBsDe3p59+/aZM4MHDhxgwoQJAAQEBPDyyy/z008/8c0333DlyhWmTMmctX3xxRfNfnx8fMwxvvzyS0JCQnj11VexsbHB3t4+W9wuLi7UrFmTxo0bA1CuXLls50uWLMm3336Lu7s7iYmJLFmyJNv5p59+mk6dOlG2bFkOHz7M119/TVpaGn/5y19ISUnBzs6OPXv2sHLlSi5cuGDVz0D+9zQzKSIiIiJSQP369WPZsmUALFu2jH79+lnV3tXVlW3btpGcnEx6ejqLFy/G3d39nu3S0tJYuXKl+b5Tp07s3r2b2NhYPD09adSokVVxeHp68vXXXwOQkZHB5cuXs53/5ZdfqFu3Ll9++SUvvPBCjvNPP/00v/zyi3n77NKlS7OdX7duHbdu3eL8+fOcO3eOqlWrAjBy5Eiio6PZvXs3tWrVol69elbFLUXjgUkmExISiI2NJSoqij179gBQoUIFNm3axJEjR9i0aRPly5c368+YMYP4+HhiYmJo1qyZeXzQoEEcOXKEI0eOMGjQIPN48+bNiY2NJT4+nhkzZvzvLkxEREREHmkVK1bE09OT7777joSEBN577z369u0LZCZ7Nja//8ltZ2eXax8Wi+W+xr5x44a5TrJkyZJ89dVX9O7dmyZNmjBnzpy7jne/Ll68SNOmTdm2bRt///vf+e6777Kdv9d13Lx503ydnp5OsWLF8PDwoHPnzrRp0wYXFxeioqIKPW75czwwySRk/ktKs2bNcHV1BWDMmDFs3bqV+vXrs3XrVsaMGQNk3oddr1496tWrx5tvvmn+60mFChUYO3Ysbm5utGrVirFjx5oJ6Ndff82bb75ptnvxxReL5iJFRERE5JHSu3dvAgICcHZ2pk6dOtSuXZuEhATat29PUlISDRs2pESJEjg4OGTb8TQ1NZWyZcsCEBYWhoeHB46OjtjY2NCvXz9CQkJyjHVnmz/KSsCSk5MpU6YMvXv3tvpatm7dyrBhw4DM9ZF/HCsrvlWrVvHJJ5/QvHnzbOcPHTpE3bp1cXJyAjCT6ryUK1eOlJQUrl+/ToMGDWjdurXVcUvReKCSyT/q0aMHCxYsAGDBggV4eXmZxwMCAoDML1758uWpVq0aL7zwAps3byYlJYWLFy+yefNmXnzxRapVq4aDgwO7d+8GMu8fz+pLRERERKQg+vXrx+rVq7MdW7lyJf379+fEiROsWLGC2NhYFi9enG0d5ezZs1m/fj1BQUGcOXOGDz74gODgYGJiYoiMjCQwMDDHWHe2+aNLly4xZ84c4uLi+PHHH827/awxatQoOnXqRGxsLBERETluk61Zsybbtm0jKioKf39/Pvjgg2znb9y4wVtvvcWGDRvYvn07Z8+e5dKlS3mOuWHDBooVK0ZMTAwTJkww/2aXB58FMIo6CMi8/zolJQXDMPj222+ZM2cOKSkpVKhQwaxz4cIFKlasyNq1a5k4cSI7d+4EYMuWLYwePZqOHTtiZ2fHP//5TwA+/vhjrl+/zrZt25g4cSLPP/88AO3bt2f06NG88sor//sLfYz1r6zbiyWnJb+NKuoQRETkIRcQEJBteZMUrTJlynD16lUAZs2aRXx8PNOnTy/iqCQ/rP0uPTAzk+3ataNFixZ07dqVv//973To0OGudXO7F9swDKuP52bo0KHs2bOHPXv2aFtiERERERErDR06lKioKPbv30+5cuXMR5TIo+eBeTTI6dOnAfjtt99YvXo1rVq14uzZs1SrVo0zZ85QrVo1zp07B8CJEyeoVauW2faJJ57g1KlTnDhxgo4dO2Y7vm3bNk6cOMETTzyRo35u5syZw5w5c/6EKxQRERERefRNnz5dM5GPiQdiZrJ06dLm33ZERAAAIABJREFUM2xKly5Nly5d2LdvH4GBgeZzb3x8fMzn7AQGBprTr25ubly6dIkzZ86wceNGunTpQvny5SlfvjxdunRh48aNnDlzhtTUVNzc3IDMHV/vfGaPiIiIiIiIWOeBmJmsWrWquWi5WLFiLFmyhI0bN7Jnzx5WrFjBkCFDOH78OK+99hoA//3vf3nppZc4evQo165dY/DgwQCkpKQwYcIEc7Hx+PHjSUlJAWDYsGH4+/tTqlQp1q9fz/r164vgSkVERERERB4ND8wGPPLo0wY8khttwCMiIgWlDXhECsdDuwGPiIiIiIiIPDyUTIqIiIiIFAIvLy8Mw6BBgwb5qj9q1ChKlSplvk9NTS3Q+K+88gqjR48uUB8A8+fPp1evXgXuRx59D8SaSRERERGRwrLZ++NC7e/5ZZ/nq16/fv3Yvn073t7ejBs37p71fX19WbRoEdevXy9oiNja2rJ27VrWrl1b4L7+DLa2tqSnpxd1GFLINDMpIiIiIlJAZcqUoV27dgwZMgRvb2/zuIeHR7YEz8/PDx8fH0aMGEGNGjUIDg4mKCjIPP/5558THR3Nrl27qFKlCgC1a9dmy5YtxMTEsGXLFvMRefPnz2fKlCkEBQUxadIkfHx88PPzA6B3797ExcURHR1NSEgIADY2NnzxxReEh4cTExPDm2++mS2u/fv389NPP5nj/lFwcDDTpk1j586dxMXF4erqCmQ+jWHu3LmEh4cTGRlJ9+7dgcynMaxYsYLAwEA2bdpEtWrVCAkJISoqiri4ONq3bw+At7c3sbGxxMXFMXHiRHO81NTUXD8PeXAomRQRERERKSAvLy82bNhAfHw8Fy5coFmzZnnW9/Pz49SpU3Tq1AlPT08A7O3t2b17Ny4uLoSGhjJ06FAAZs6cSUBAAE2bNmXx4sV8+eWXZj/169enc+fOvPvuu9n6//TTT3nhhRdwcXExk7shQ4Zw6dIlWrVqhaurK0OHDsXZ2ZmePXvSoEEDGjduzNChQ2nbtu1d485Kmt966y3mzZsHwEcffURQUBCtWrWiU6dOTJ48mdKlSwPQpk0bfHx8eO655+jfvz8bN26kWbNmNG3alOjoaKpXr86kSZPw9PTExcUFV1dXevTokefnIQ8OJZMiIiIiIgXUr18/li1bBsCyZcvo16+f1X3cvHmTn376CYCIiAicnZ2BzIRsyZIlACxcuNCc0QP4/vvvycjIyNHXzp078ff354033sDW1haALl26MGjQIKKioggLC8PR0ZF69erh7u7O0qVLycjI4PTp09lmSv9o6dKlAGzfvh0HBwfKlStHly5dGDNmDFFRUWzbtg07Oztq164NwObNm81H9e3Zs4fBgwczduxYGjduzJUrV3B1dWXbtm0kJyeTnp7O4sWLcXd3z/PzkAeH1kyKiIiIiBRAxYoV8fT05Nlnn8UwDGxtbTEMg/fff5+0tDRsbH6fv7Gzs7trP7dv3zZfp6enU6xY7n+qG8bvT/a7evVqrnWGDRtGq1at6NatG9HR0bi4uGCxWBgxYgSbNm3KVvell17K1mde/ljPMAwsFgu9evXiyJEj2c65ublli2/79u24u7vTrVs3Fi5cyOTJk7l8+fJdx8rv5yFFRzOTIiIiIiIF0Lt3bwICAnB2dqZOnTrUrl2bhIQE2rdvT1JSEg0bNqREiRI4ODjw3HPPme1SU1MpW7bsPfv/+eefzXWYAwYMYMeOHfdsU7duXcLDwxk7dizJycnUqlWLjRs3MmzYMDMpq1evHqVLlyY0NBRvb29sbGyoVq0anTp1umu/ffv2BaBdu3ZcunSJy5cvs3HjRkaMGGHWcXFxybVt7dq1OXfuHN999x1z586lefPmhIWF4eHhgaOjIzY2NvTr189c4ykPvgKn923btsXNzY24uDi2bNnCiy++yPTp06lcuTLr16/nzTff5Nq1a4URq4iIiIjIA6dfv37ZNo4BWLlyJf379+ett95ixYoVxMbGEh8fT1RUlFln9uzZrF+/ntOnT5vrJnMzcuRI5s2bx3vvvcdvv/3G4MGD7xnT5MmTqVevHhaLha1btxITE0NsbCzOzs5ERkZisVj47bff8PLyYvXq1Xh6ehIXF8eRI0fyTOZSUlLYuXMnDg4O/OUvfwFgwoQJTJ8+ndjYWCwWC4mJibzyyis52nbs2JH33nuP27dvc+XKFQYNGsSZM2f44IMPCA4OxmKx8N///pfAwMB7Xp88GCxA/ua072L16tW88sorvPHGGyxZsoTTp09Tvnx5IHPae/LkyXzwwQeFEas85PpXnlHUIcgDaMlvo4o6BBERecgFBAQwaNCgog7jkRccHMy7775LREREUYcifxJrv0sFvs01a6eqbdu24ebmRvny5Tl06BCBgYFYLBZ69uxZ0CFERERERETkAVPg21wrV64MwIkTJ8zFu1OmTOGHH34gJSWFmjVrFjhIEREREREpWnmtpZTHU4FnJq9fvw5AzZo1admyJQBHjhwhLS0NyNx5SURERERERB4tBZ6ZjI+Px9XVlejoaOzt7UlLSyM6Otp8tszp06cLHKSIiIiIiIg8WAo8Mzl16lQAHBwcsLGxISAggCtXrvDiiy8CsGvXroIOISIiIiIiIg+YAs9Mfv/99xw/fpy2bduSlJTEqlWrAIiKimLw4MHs2bOnwEGKiIiIiIjIg6XAM5MDBw6kfv36TJs2zUwkAUJCQti+fTs3btwo6BAiIiIiIg+0Dz/8kH379hETE0NUVBStWrUCYNSoUZQqVepPG7dFixbMmKHHr0nRKPDMpL+/PxkZGSxcuDDHuaNHj5KRkUHx4sULOoyIiIiISL4cGf9mofZX/9PZeZ5v3bo1L7/8Ms2bN+fWrVs4OjpSokQJAHx9fVm0aJG5aWVhi4iI0HMfpcgUeGYSwGKx5DhWsmTJu54TEREREXlUVK9eneTkZG7dugXA+fPnOX36NCNGjKBGjRoEBwcTFBQEgLe3N7GxscTFxTFx4kSzj9TUVP7zn/8QERHBli1bqFSpUo5xevfuTVxcHNHR0YSEhADg4eHB2rVrAahUqRKbNm0iIiKCb775hsTERBwdHXFycuLAgQPMnj2bffv2sXHjRuzs7P7sj0UeA/eVTHbv3p25c+cyd+5c81jW+6yyadMmIPOLISIiIiLyqNq0aRO1atXi8OHDzJo1C3d3dwD8/Pw4deoUnTp1wtPTk+rVqzNp0iQ8PT1xcXHB1dWVHj16AGBvb09kZCQtWrQgJCSEsWPH5hjn008/5YUXXsDFxYXu3bvnOD927FiCgoJo0aIFq1evxsnJyTxXr149Zs2axbPPPsvFixfp1avXn/RpyOPkvm5zdXFxwcfHx3xvsViyvb+Tpt1FRERE5FF29epVWrRoQYcOHejUqRPLly9nzJgxLFiwIFs9V1dXtm3bRnJyMgCLFy/G3d2dNWvWkJ6ezvLlywFYtGhRtr1IsuzcuRN/f39WrFiR6/n27dvTs2dPADZu3MiFCxfMcwkJCcTExACZf587OzsXyrXL4+2+10xm3b5qGEa291lSUlLYs2cPI0eOLEB4IiIiIiIPvoyMDEJCQggJCSEuLg4fH58cyaQ1y7+y/sa+07Bhw2jVqhXdunUjOjoaFxeXfPd/8+ZN83V6evqfuimQPD7u6zbX8ePHY2tri62trflLm/U+q1SqVImuXbsSHx9fqAGLiIiIiDxI6tevz1NPPWW+d3FxISkpCchc8lW2bFkAwsLC8PDwwNHRERsbG/r162eufbS1taV3794A9O/fnx07duQYp27duoSHhzN27FiSk5OpVatWtvM7duygT58+ADz//PNUrFix8C9W5A4F3s21U6dOhRGHiIiIiMhDyd7eHj8/P8qXL09aWhpHjx7lzTczd5SdPXs269ev5/Tp03h6evLBBx8QHByMxWLhv//9L4GBgQBcuXKFRo0asXfvXi5dukTfvn1zjDN58mTq1auHxWJh69atxMTE4OHhYZ4fN24cS5cupW/fvoSEhHDq1ClSU1Oxt7f/33wQ8tixADnn0K1kY2ODm5sbtWrVMndxvVNujw2Rx0//ynoGkuS05LdRRR2CiIg85AICAhg0aFBRh1Egd85g3q8SJUqQnp5Oeno6rVu35uuvv6ZZs2aFFKE8Dqz9LhV4ZrJZs2asWrUqxzR7FsMwlEyKiIiIiPzJateuzYoVK7CxseHWrVsMHTq0qEOSR1yBk8mvvvqK2rVrF0YsIiIiIiKPpYLOSgIcPXqU5s2bF0I0IvlT4GSycePGGIbBggULWLFiBTdu3Mh19ykRERERERF5dBQ4mUxMTOTpp5/G19eX1NTUwohJREREREREHnD39WiQO3366adA5nNvRERERERE5PFQ4JnJ4cOHk5qayr/+9S9GjhzJsWPHSEtLM88bhkHnzp0LOoyIiIiIiIg8QAo8M+nh4UHZsmWxWCxUr16ddu3a4eHhgYeHBx07dqRjx46FEKaIiIiIyIPLMAz+85//mO//8Y9/MHbs2Dzb9OjRg2eeecaqcTw8PGjTpk2u51555RVGjx5tVX/30rRpU7p27fqnjlGYxo0bx3PPPQfAqFGjKFWqlHnubkvy/vrXvzJw4MB8j9G0aVN+/vln9u3bR0xMDH369DHPOTs7s3v3bo4cOcKyZcsoXrz4fV7J3fn4+FC9evVC7/d+FHhm8vjx49pwR0REREQeGCd+6HrvSlZ4ovf6e9a5ceMGr776Kv/+9785f/58vvr18vLip59+4uDBg/mOpWPHjly5coVdu3blOLd27VrWrl2b777yw8XFhZYtW7J+/fo/bYy8WCwWq3KNOxN4X19fFi1axPXr1/Ns8+2331oV07Vr1xg0aBBHjx6levXqREREsHHjRi5dusSkSZOYNm0ay5cv5+uvv2bIkCF88803VvV/L6+//jr79u3j9OnTOc7Z2NiQkZFRqOPlpcAzk3Xq1KFu3bp5FhERERGRR1laWhqzZ8/m7bffznGudu3abNmyhZiYGLZs2UKtWrVo06YN3bt3Z/LkyURFReX4m/nll19m9+7dREZGsnnzZqpUqYKTkxN/+9vfePvtt4mKiqJ9+/bZ2vj4+ODn5wfA/Pnz6dWrl3kua1bOw8OD4OBgvv/+ew4ePMiiRYvMOi1btmTnzp1ER0cTFhaGg4MD48ePp2/fvkRFRdGnT59sY+R2XVljz5gxg507d3Ls2LFscdzp7bffJi4ujri4OEaNGgWAk5MTBw4cYNasWURGRmZ7lr2rqysrV64EoHv37ly7do3ixYtTsmRJjh07lu26R4wYQY0aNQgODiYoKMjs4/PPPyc6Oppdu3ZRpUoVIDMB/cc//gFAcHAwEydOJCwsjMOHD+f4jAHi4+M5evQoAKdPn+bcuXNUrlwZAE9PT3744QcAFixYgJeXV472Y8eOxd/fn40bN5KQkEDPnj2ZNGkSsbGxrF+/nmLFMuf7mjdvzrZt29i7dy8bNmygWrVq9OrVi5YtW7J48WKioqKws7MjISGBTz75hO3bt/Paa69Rt25d1q9fz969ewkNDaVBgwYA9O7dm7i4OKKjowkJCcn1Z2KtAieTdypZsiTVqlUrzC5FRERERB4Ks2bNYsCAATg4OGQ7PnPmTAICAmjatCmLFy/myy+/ZNeuXQQGBvLee+/RrFkzfvnll2xtduzYQevWrWnevDnLli3j/fffJykpiW+++YZp06bRrFkzduzYcV9xNmvWDF9fXxo2bEjdunVp164dxYsXZ/ny5YwaNQoXFxc6d+7M1atX+fTTT1m+fDnNmjVjxYoV97yuLNWrV6d9+/a8/PLLTJw4MUcMzZs3Z/Dgwbi5udG6dWuGDh2Ki4sLAA0aNCAgIIDmzZtz/Phxs01kZCTNmjUDoEOHDuzbtw9XV1fc3NwICwvL1r+fnx+nTp2iU6dOeHp6AmBvb8/u3btxcXEhNDSUoUOH5vr5FCtWDDc3N3x9fe95q7KrqyslSpTg2LFjODo6cvHiRdLT0wE4ceIENWvWzLXdk08+Sbdu3ejRoweLFi0iODiYJk2acP36dbp160axYsXw8/Ojd+/etGzZknnz5vHPf/6TlStXsnfvXgYMGECzZs24ceMGkDkz3qFDB5YvX87s2bMZMWIELVu25N133+Wrr74CMjdOfeGFF3BxcaF79+55Xld+Ffg2V4DWrVszZcoUWrVqBUDx4sWZMWMG9vb2TJ06lf379xfGMCIiIiIiD6zU1FQCAgIYOXJktlsr27Rpw6uvvgrAwoUL+eKLL+7Z1xNPPMHy5cupXr06JUqUICEhodDiDA8P5+TJkwBER0fj7OzMpUuXOH36NHv37jWv5V7yuq4ff/wRwzA4ePAgVatWzdG2ffv2rF69mmvXrgGwatUqOnToQGBgIElJSTmSQ4D09HSOHj3K008/TatWrZg6dSru7u7Y2tqyffv2e8Z78+ZNfvrpJwAiIiJ4/vnnc623atUqs46zs/Nd+6tWrRoLFy7Ex8cHwzCwWCw56tztFt3169eTlpZGXFwctra2bNiwAYC4uDicnZ1p0KABzz77LJs3bwbA1tY219tasyxfvhyAMmXK0LZtW77//nvzXMmSJQHYuXMn/v7+rFixwrzGgipwMtmsWTOCgoIoUaJEtnua09PT8fHx4cKFC7z33nsFDlRERERE5EE3ffp0IiMjmT9//l3r5GcNoJ+fH1OnTmXt2rV4eHjw2WefWRVHWloaNja/34RYokQJ8/XNmzfN1+np6RQrVszqtYm5ubP9nWPklmTldizL1atX73pu+/btdO3aldu3b7Nlyxb8/f2xtbXl3XffvWd8t2/fNl9nXXdusmLPq07ZsmVZt24dH3/8sZn4JicnU758eWxtbUlPT+eJJ57g1KlTeY5hGEa2uDIyMsyfx/79+2nbtu09rwt+/8xsbGy4ePGiOYN7p2HDhtGqVSu6detGdHQ0Li4uXLhwIV/9302Bb3MdP348JUuW5NChQ9mO+/v7Y7FY9FgQEREREXlspKSksGLFCoYMGWIe+/nnn/H29gZgwIAB5u2pqamplC1bNtd+ypUrZ84e+vj4mMfzanOnxMREWrRoAWTuGntnMpmbQ4cOUaNGDVq2bAlk3hJqa2ub53h3u678CA0NxcvLi1KlSlG6dGl69uyZr9nF0NBQfH192bVrF8nJyTg6OvL000/neidkfj8raxUvXpzVq1cTEBBgro/MEhwcTO/evYHMn9uaNWvua4zDhw9TuXJlWrduDWTeetuwYUMg7+tKTU0lISHBjAGgSZMmANStW5fw8HDGjh1LcnJytvWo96vAyWS7du0wDIOXXnop2/GsXalq165d0CFERERERB4aU6ZMoVKlSub7kSNHMnjwYGJiYhg4cKC52cyyZct47733iIyMzLEBz2effcb3339PaGgoycnJ5vG1a9fSs2fPXDfggd9nB+fMmYOHhwdhYWG4ublx5cqVPGO+ffs2ffv2xc/Pj+joaDZv3oydnR3BwcE0bNjQ3IDnTne7rvyIiorC39+f8PBwwsLC+O6774iOjr5nu7CwMKpWrUpoaCgAsbGxxMbG5lp39uzZrF+/PtsGPIWhT58+uLu78/rrrxMVFUVUVBRNmzYFYPTo0bzzzjvEx8fj6OjI3Llz72uM27dv07t3byZNmkR0dDTR0dHmLKW/vz/ffPONuQHPHw0YMIAhQ4YQHR3N/v376dGjBwCTJ08mNjaWuLg4QkNDiYmJuc9P4HcWoEDz2deuXaNEiRKUKlWKGzduYBgGxYoVo3r16pw4cYIbN25QpkyZAgcqD7/+lWcUdQjyAFryW/7/xyMiIpKbgIAABg0aVNRhFLl33nkHBwcHq2+JFcli7XepwDOTWYuB7/yXCgcHB6ZOnQqQY2cqEREREREpXH/96195/fXXsz3qQ+TPVuBkctmyZVgsFhYsWGBOqycnJ/Paa69hGAbLli3LfzA2NkRGRpoPQnV2dmb37t0cOXKEZcuWUbx4cSBzAfGyZcuIj49n9+7dODk5mX2MGTOG+Ph4Dh06RJcuXczjL7zwAocOHSI+Pp7Ro0cX9LJFRERERB4Y3377LU2aNDGffyjyv1DgZHLixIls27YNi8ViFltbWywWC6Ghofna+jjLqFGjzLWWAJMmTWLatGnUr1+flJQUcyHzkCFDSElJoV69ekybNo1JkyYB8Mwzz+Dt7U2jRo148cUX+eqrr7CxscHGxoZZs2bRtWtXGjZsSL9+/XjmmWcKeukiIiIiIiKPrQInk7dv3+b555/Hx8eHpUuXsmXLFpYtW8brr7/O888/n22r27zUrFmTbt268d1335nHPD09zR2SFixYgJeXF5C5I9WCBQsA+OGHH3juuefM48uWLePWrVskJiZy9OhRWrVqRatWrTh69CgJCQncvn2bZcuWmQtRRUREROThZhgGtra2RR2GyEPN1tbW6sfDFPg5k5D5PJRFixYV6B7t6dOn8/7775vb3Do6OnLx4kXS09MBOHHiBDVr1gQyE89ff/0VyHz+y6VLl3B0dKRmzZrs3r3b7PPONln1s467ubnlGsfQoUN58803gcwdoObMmXPf1yQiIiIif77ExES6devGunXrzL8dRST/bG1t6datG4mJiVa1u69kcuDAgVbVX7hwYZ7nu3Xrxrlz54iMjMTDwwPI/UGmWZny3c7d7fidD2z9Y19/NGfOHCWQIiIiIg+R6dOn4+vrS69evXL9e1BE8mYYBomJiUyfPt2qdveVTPr7++d7CtQwjHsmk+3ataN79+689NJL2NnZ4eDgwPTp0ylfvjy2trakp6fzxBNPcOrUKSBzZrFWrVqcPHkSW1tbypUrx4ULF8zjWe5sc7fjIiIiIvJwS0lJYezYsUUdhshj577XTN654c69yr18+OGH1KpVizp16uDt7U1QUBD/93//R3BwML179wbAx8eHNWvWABAYGIiPjw8AvXv3Nh9EGhgYiLe3NyVKlMDZ2Zl69eoRHh7Onj17qFevHs7OzhQvXhxvb28CAwPv99JFREREREQee/c1M9mpUyfzdbly5fjmm284d+4c06dP59SpU9SoUQNfX19q1KjBX//61/sObvTo0SxbtozPP/+cqKgo5s6dC8DcuXNZuHAh8fHxXLhwAW9vbwAOHDjAihUrOHDgAGlpafz9738nIyMDgOHDh7Nx40ZsbW2ZN28eBw4cuO+4REREREREHncWwLote/5g/vz5DBw4ECcnJ06ePGkef+KJJ0hKSmLx4sUMGjSooHHKI6B/5RlFHYI8gJb8NqqoQxARERGR+1DgR4P07NkTgFKlSmU7Xrp0aQC6d+9e0CFERERERETkAVPgR4PcvHkTe3t7Nm3axHfffcfJkyepWbMmb7zxhnleREREREREHi0FTibnzZvH+++/T+3atRk/frx5PGvjnax1jiIiIiIiIvLoKHAy+eGHH3Lr1i18fX2xt7c3j1+5coVp06Yxbty4gg4hIiIiIiIiD5gCb8CTxcHBgSZNmlC9enVOnz5NbGwsly9fLoyu5RGhDXgkN9qAR0REROThVOCZySyXL19mx44dhdWdiIiIiIiIPMDuK5ncunUrhmHQuXNntm7dmmfdrHoiIiIiIiLy6LivZLJjx44YhpHj9R9ZLJa7nhMREREREZGH130lk8ePHycjI8N8rYRRRERERETk8XJfyWSdOnVyfS0iIiIiIiKPB5uiDkBEREREREQePgVOJqdMmcKxY8fw9fXNdtzX15djx44xefLkgg4hIiIiIiIiD5gCJ5NeXl44OTkRGBiY7fiPP/6Is7MzPXv2LOgQIiIiIiIi8oApcDJZo0YNAE6fPp3t+NmzZ7OdFxERERERkUdHgZPJq1evAvDCCy9kO571Puu8iIiIiMj/a+/O47Ks8v+Pv29uFDUTzVBMVMxtXMot98olU9pGJx0zTalMp1zS6Wujlg3l2GqmtFmaiba5OzqZuSGTzQjhrmACigoiKAoIKihwfn/44xoQXOC+lVt5PR+P88j7XOc653Nu7rsHH851nQvAraNEu7nmFxYWJj8/Py1YsECzZs3S/v371aRJE7344osyxigsLMwZcQIAAAAAXIhNkkMPiezevbvWr19fuGObTbm5uerZs6f+/e9/OzIEbhGDvAJLOwS4oO9PjC3tEAAAAFACDl/mumnTJr3wwgs6ffq0bDabVdLS0vTCCy+QSAIAAADALcjhlck8lSpVUufOneXl5aUTJ07ov//9r86ePeuMrnGLYGUSRWFlEgAA4Obk8D2Tec6ePasNGzY4qzsAAAAAgAtz+DLX77//XtnZ2Zo0aVKB+gkTJig7O1vfffedo0MAAAAAAFyMw8nk/fffL0lasGBBgfpvv/1WNpvNOg4AAAAAuHU4nEzWqFFDkpSWllagPu913nEAAAAAwK3D4WQyJSVFkvTUU08VqM97nZqa6ugQAAAAAAAX4/AGPL/++quefPJJzZo1S7169dL+/fvVpEkT/elPf5IxRps3b3ZGnAAAAAAAF+Lwo0Fat26tLVu2yN29YF5qs9l0/vx5dezYUbt27XJkCNwieDQIisKjQQAAAG5ODl/mumPHDj3++OOKjY2VzWazSkxMjB5//HESSQAAAAC4BTnlOZMbNmxQo0aN1LBhQ3l5eenEiROKiYlxRtcAAAAAABfklGQyT0xMjJVEtmjRQk899ZT+/Oc/6w9/+IMzhwEAAAAAlDKnJpNNmzbVU089pQEDBqhx48bO7BoAAAAA4EIcTiabNGmiAQMGaMCAAWratKmki5vv5OHRIAAAAABw6ylRMtmwYUMrgWzRooVVnz+JNMaoX79++umnnxyPEgAAAADgUkqUTO7fv1/GmALJ47Fjx7R69WpFRkbqo48+kiStXLnSOVECAAAAAFyKQ5e5GmP03XffKTAwUNu3b5ckNWvWzClr+in7AAAgAElEQVSBAQAAAABcl8P3TA4ePFgtW7bUypUrtWrVKmVmZjojLgAAAACAC7NJMsU9adq0aerXr5/q1asn6eIKZZ7Tp0/L09NTxhi5uzt1s1jc5AZ5BZZ2CHBB358YW9ohAAAAoATcSnLSq6++qrvvvludOnXSzJkzdfToUdlsNtlsNiuRlC7eRzlz5kynBgwAAAAAKH0lWpksSqdOnfTUU0+pX79+uuuuu6x6ViiRh5VJFIWVSQAAgJtTiVYmi7JlyxaNGzdOderUUdeuXfX5558rKSnJWd0DAAAAAFyI05LJ/H799VeNGTNGd911lx566KHrMQQAAAAAoBRdl2Qyv3//+99XbePh4aGwsDDt3LlTe/fu1ZtvvilJ8vX1VWhoqKKiorRw4UKVK1dOklS+fHktXLhQ0dHRCg0NtTYCkqSJEycqOjpav//+u3r16mXV9+7dW7///ruio6M1YcIE504SAAAAAMqY655MXousrCz16NFDrVq1UqtWreTn56cOHTro/fff14wZM9S4cWOlpKRo2LBhkqRhw4YpJSVFjRo10owZM/T+++9Lkpo2baqBAweqefPm8vPz0+effy43Nze5ubnps88+0yOPPKJmzZrp6aefVtOmTUtzygAAAABwU3OJZFKSzpw5I0kqV66cypUrJ2OMevTooaVLl0qS5s+fr759+0qS+vTpo/nz50uSli5dal1K26dPHy1cuFDnz5/XoUOHFBMTo/bt26t9+/aKiYlRbGysLly4oIULF6pPnz6lMEsAAAAAuDW4TDLp5uamHTt26Pjx41q/fr0OHDig1NRU5eTkSJLi4+NVu3ZtSVLt2rUVFxcnScrJyVFaWpqqV69eoD7/OZerBwAAAACUTImSySFDhmjIkCGSpDp16qhOnToOB5Kbm6vWrVvLx8dH7du3L/Iy1LznV9pstiKPFbe+KMOHD1d4eLjCw8M1fPjw4k4DAAAAAMqEEj0AMigoSLm5ufrmm2906NAh5ebmWpvjOCotLU0hISHq2LGjqlatKrvdrpycHPn4+CghIUHSxZXFOnXq6OjRo7Lb7fL09NSpU6es+jz5z7lc/aXmzJmjOXPmOGUuAAAAAHCrKtHKZN5qX+XKlSUVvVJYHHfeeac8PT0lSRUqVFDPnj21b98+bdq0Sf3795ck+fv7a+XKlZKkVatWyd/fX5LUv39/BQcHW/UDBw5U+fLl5evrq0aNGum3335TeHi4GjVqJF9fX5UrV04DBw7UqlWrHIoZAAAAAMqyEq1MJiUlqWbNmjp06JBVd+DAgSLbGmPUsGHDK/ZXq1YtzZ8/X3a7XW5ublq8eLFWr16tyMhILVy4UFOnTtWOHTs0d+5cSdLcuXP1zTffKDo6WqdOndLAgQMlSZGRkVq8eLEiIyOVnZ2tUaNGKTc3V5I0evRorV27Vna7XV9//bUiIyNLMnUAAAAAgCSbpKJvHryCefPmaejQodfU1hgjd/cS5ay4xQzyCiztEOCCvj8xtrRDAAAAQAmUKMsbM2aMjh8/rlatWqlnz54yxuiXX35xdmwAAAAAABdVopXJ/HJyclh9xDVhZRJFYWUSAADg5uTwcybtdruVSJYvX17e3t7y8PBwODAAAAAAgOtyOJmUpFatWmnjxo1KT09XfHy80tPTtXHjRrVu3doZ3QMAAAAAXIzD16Y2a9ZMmzdvVsWKFa1HhNjtdnXr1k2//PKLOnbsqIiICIcDBQAAAAC4DodXJt98801VqlRJxhiFhITo22+/VUhIiHJzc1WxYkUFBAQ4I04AAAAAgAtxeGWya9euMsaof//+WrlypVX/xz/+UStWrFDXrl0dHQIAAAAA4GIcXpn09PSUJG3YsKFAfXBwcIHjAAAAAIBbh8PJZEJCgiRp0qRJ1q6u7u7umjBhQoHjAAAAAIBbh8PJ5KpVq2Sz2TRx4kSlpqYqNjZWqampmjRpkowx+te//uWMOAEAAAAALsQmyTjSQbVq1bRlyxY1atSo0LHo6Gh16tRJKSkpjgyBW8Qgr8DSDgEu6PsTY0s7BAAAAJSAwxvwpKSkqF27dnrllVfUq1cv3XnnnUpOTta6des0Y8YMnT592hlxAgAAAABciMMrk8C1YmUSRWFlEgAA4Obk8D2TAAAAAICyh2QSAAAAAFBsJJMAAAAAgGIjmQQAAAAAFJtDu7na7XY1a9ZMknTw4EGdOXPGKUEBAAAAAFybQ8lkbm6utm3bJpvNpvr165NMAgAAAEAZ4dBlrsYYxcbGymazKT093VkxAQAAAABcnMP3TL711lvWf93dHVroBAAAAADcJGySjCMdBAcHq2XLlvL09FRKSoqioqKUmZlpHTfGqGfPno7GiVvAIK/A0g4BLuj7E2NLOwQAAACUgMNLiV27dpUxRjabTXfccYc6dOhgHbPZbDLGoVwVAAAAAOCCHE4mjxw5QsIIAAAAAGWMw8lk/fr1nREHAAAAAOAm4vAGPPl5eHjI29vbmV0CAAAAAFyQU5LJjh076j//+Y8yMjIUFxcnSQoMDNTcuXPVvHlzZwwBAAAAAHAhDl/m2rp1awUHB6t8+fIFNtzJycmRv7+/Tp06pVdffdXhQAEAAAAArsPhlckpU6bIw8NDv//+e4H6oKAg2Ww2HgsCAAAAALcgh5PJLl26yBijRx99tED9vn37JEl169Z1dAgAAAAAgItxOJmsUKGCJOnYsWMF6u+8884CxwEAAAAAtw6Hk8nY2FhJ0oABA6y6KlWq6KOPPpIkHTx40NEhAAAAAAAuxuFkcuHChbLZbJo/f761+U5ycrL+/Oc/yxijhQsXOhwkAAAAAMC1OJxMvvfeewoJCZHNZrOK3W6XzWbTL7/8og8++MAZcQIAAAAAXIjDjwa5cOGCHn74YQ0aNEh+fn7y8vJScnKyfv75Z33//ffKyclxRpwAAAAAABdik2RKOwiUDYO8Aks7BLig70+MLe0QAAAAUAIOX+YqSb6+vpo9e7YiIiKUmpqqiIgIffnll/L19XVG9wAAAAAAF+PwyuQDDzygNWvWqEKFCrLZbFa9MUaZmZny8/PTr7/+6micuAWwMomisDIJAABwc3J4ZXLmzJmqWLGibDab4uLiFBoaqri4ONlsNlWsWFEzZsxwRpwAAAAAABficDLZtGlTGWP08ssvy9fXV126dJGvr69efvllSVLz5s0dDhIAAAAA4FocTiYPHDggSQoKCipQn/c6JibG0SEAAAAAAC7G4WRy4sSJys3N1XPPPVeg/tlnn1V2drYmTZp01T58fHwUHBysyMhI7d2711rVrFatmtatW6eoqCitW7dOVatWtc4JDAxUdHS0du3apdatW1v1Q4cOVVRUlKKiojR06FCrvk2bNtq9e7eio6MVGMi9ewAAAADgiBJtwLNx48YCr1u0aKHq1asrLi5O8fHx8vHxUZ06dZScnKy9e/eqZ8+eV+zP29tbtWrV0o4dO1S5cmVt27ZNffv21bPPPqtTp07p/fff14QJE1StWjVNnDhRjzzyiMaMGaNHH31UHTp0UGBgoDp27Khq1app69atuu+++2SM0bZt29S2bVulpqYqLCxMY8eOVWhoqH766Sd9/PHH+vnnn4s7dTiADXhQFDbgAQAAuDm5l+Skbt26yZiCOajNZlPdunVVp04da1dXLy8vdevW7ar9JSYmKjExUZKUkZGhffv2qXbt2urTp491/vz58xUSEqKJEyeqT58+WrBggSQpLCxMVatWlbe3t7p166b169crJSVFkrR+/Xr5+fkpJCREVapUUWhoqCRpwYIF6tu3L8kkAAAAAJRQiZLJI0eOFEomnaVevXpq3bq1wsLCVLNmTSvJTExMVI0aNSRJtWvXVlxcnHVOfHy8ateufcX6+Pj4QvUAAAAAgJIpUTJZv359Z8chSbrtttu0bNkyjRs3Tunp6Zdtl/95lnmMMcWuL8rw4cM1YsQISdLs2bM1Z86caw0fAAAAAMqMEiWT14O7u7uWLVum7777TitWrJAkJSUlydvbW4mJifL29tbx48clXVxZrFOnjnWuj4+PEhISFB8fX+CyWh8fH4WEhFj3cV7avihz5swhgQQAAACAq3BKMtmkSRM9+eSTqlOnjjw8PAodHzZs2FX7mDt3rvbt26cZM2ZYdatWrZK/v7/ef/99+fv7a+XKlVb96NGjtXDhQnXo0EFpaWlKTEzU2rVr9c4771i7vvbq1UuTJk1SSkqK0tPT1aFDB4WFhWno0KH65JNPnDF1AAAAACiTSrSba36DBw9WUFBQkZeS5nF3v3LO2qVLF/3666/avXu3cnNzJUmvvfaawsLCtHjxYtWtW1dHjhzRn//8Z2tznU8//VR+fn46e/asnnvuOW3btk2S9Nxzz+m1116TJL399tvW8y7btm2roKAgVaxYUWvWrNGYMWMcmTZKgN1cURR2cwUAALg5OZxM7t+/Xw0bNrxiG7vd7sgQuEWQTKIoJJMAAAA3JzdHO6hVq5aMMerfv788PDxkt9sLFQAAAADArcXhZHLNmjWSpO3btys7O9vhgAAAAAAArs/hDXhefPFF1alTRyEhIQoKCtKRI0cKJZXffPONo8MAAAAAAFyIw/dMtmvXTqtWrZKXl1eRx40xKleunCND4BbBPZMoCvdMAgAA3JwcXpn84osv5OXldcXdXAEAAAAAtxaHk8kmTZpIkqZNm6bg4GBlZmY6HBQAAAAAwLU5nEyGhYWpa9euevfdd5WWluaMmAAAAAAALs4u6U1HOjhy5IieeOIJdejQQUePHpWbm5tuv/12eXp6WuX06dPOiRY3tXtue6S0Q4AL2nP259IOAQAAACXg8AY8V3scCBvwIA8b8KAobMADAABwc3L4Mlc23gEAAACAssfhZPKtt95yRhwAAAAAgJuIw8nklClTnBEHAAAAAOAm4lbaAQAAAAAAbj4Or0yyAQ8AAAAAlD1swAMAAAAAKDaHk8n58+cXeG232+Xr66suXbro3LlzWrx4saNDAAAAAABcjMPJ5PPPP19kfffu3bVhwwbt3LnT0SEAAAAAAC7mum3As2nTJmVkZOjll1++XkMAAAAAAEqJwyuTQ4YMKVRXoUIF9erVS5UrV3a0ewAAAACAC3I4mQwKCpIxpshjxhiFhoY6OgQAAAAAwMU4nExKl9/R9bffftOIESOcMQQAAAAAwIU4nEx27969UF1WVpbi4+N19OhRR7sHAAAAALggh5PJX375xRlxAAAAAABuIiVKJjt16lSs9lu2bCnJMAAAAAAAF1WiZPLXX3+97KY7lzLGqFy5ciUZBgAAAADgokp8mevlNt0BAAAAANz6SpRMvvXWW5c99oc//EH9+/eXm5sbCScAAAAA3KJKlExOmTKlUF3Lli31+uuvq2/fvrLb7TLG6J///Kfeeecdh4MEAAAAALgWh3dz7dKli1577TX17t1bNptN2dnZ+vbbb/Xuu+/q999/d0aMAAAAAAAXU+Jksnfv3nrttdfUpUsX2Ww2ZWVlad68efrggw90+PBhZ8YIAAAAAHAxJUomt27dqlatWkmScnJytGTJEk2fPl2JiYmSpFq1ahVof+zYMQfDBAAAAAC4Epuka3vGRz45OTk8GgTFNsgrsLRDgAv6/sTY0g4BAAAAJcCjQQAAAAAAxVaiZHL+/PnOjgMAAAAAcBMpUTL5/PPPOzsOAAAAAMBNxK20AwAAAAAA3HxIJgEAAAAAxUYyCQAAAAAoNpJJAAAAAECxkUwCAAAAAIrNZZLJuXPnKikpSXv27LHqqlWrpnXr1ikqKkrr1q1T1apVrWOBgYGKjo7Wrl271Lp1a6t+6NChioqKUlRUlIYOHWrVt2nTRrt371Z0dLQCAwNvzKQAAAAA4BblMslkUFCQ/Pz8CtRNnDhRGzduVOPGjbVx40ZNnDhRkvTII4+oUaNGatSokUaMGKFZs2ZJuph8BgQEqEOHDmrfvr0CAgKsBHTWrFkaMWKEdd6lYwHAtRo1apTCw8OVmZmpefPmWfVNmzZVeHi4Tp06pVOnTmn9+vVq2rRpsfvJ06NHD+3bt09nzpxRcHCw6tatax0bP368Tpw4oT179qh58+ZWfefOnbVixQonzRQAAODyXCaZ3Lx5s06dOlWgrk+fPpo/f74kaf78+erbt69Vv2DBAklSWFiYqlatKm9vb/Xu3Vvr169XSkqKUlNTtX79evn5+cnb21tVqlRRaGioJGnBggVWXwBQXAkJCZo6daq+/vrrQvX9+/fXHXfcoTvvvFOrVq3SwoULi92PJFWvXl3Lly/XG2+8oTvuuENbt27VokWLJEne3t4aNmyY7r77bn3xxRd67733JEl2u13Tp0/XuHHjnDhbAACAormXdgBXUrNmTSUmJkqSEhMTVaNGDUlS7dq1FRcXZ7WLj49X7dq1r1gfHx9fqB4ASiJv5e++++6Tj4+PVZ+Wlqa0tDRJks1mU05Ojho2bFjsfiTpySefVEREhJYuXSpJevPNN5WcnKwmTZrI09NTO3bsUHp6ujZs2KCRI0dKksaNG6dVq1bp8OHDzpssAADAZbh0Mnk5NputUJ0xptj1RRk+fLhGjBghSZo9e7bmzJnjYLQAypqUlBRVrlxZbm5u+vvf/16iPpo3b65du3ZZr8+ePasDBw6oefPmCgkJ0T333CNPT0/17NlTERER8vHx0cCBA9W5c2dnTQMAAOCKXDqZTEpKkre3txITE+Xt7a3jx49LuriyWKdOHaudj4+PEhISFB8fr27duhWoDwkJUXx8fIG/+ue1L8qcOXNIIAE4pFq1aqpUqZL8/f1LvEpYuXJlnThxokBdWlqabr/9dp06dUpvv/22goODlZSUpBdffFGBgYGaMGGC/vSnP2nkyJFKTU3VqFGjdPToUWdMCQAAoBCXuWeyKKtWrZK/v78kyd/fXytXrrTq83Zq7dChg9LS0pSYmKi1a9eqV69eqlq1qqpWrapevXpp7dq1SkxMVHp6ujp06CDp4o6veX0BwPVw9uxZffHFF1qwYIG8vLyKfX5GRoaqVKlSoK5KlSpKT0+XJC1cuFBt27bVo48+qhYtWigrK0s7duzQhx9+qCeeeEJLlizRhx9+6JS5AAAAFMVlksnvv/9eW7ZsUZMmTRQXF6fnn39e7733nh5++GFFRUXp4YcftjaZ+Omnn3Tw4EHFxMRozpw51v1CKSkp+sc//qHw8HCFh4drypQpSklJkSS99NJL+uqrrxQTE6MDBw5ozZo1pTZXAGWDm5ubKlWqVKJ7tCMiItSyZUvrdaVKldSgQQNFREQUaFehQgW98847+r//+z81atRIcXFxSk9PV3h4uO69916H5wAAAHA5LnOZ66BBg4qs79mzZ5H1o0ePLrJ+3rx5RW6xv23bNt1zzz0lDxAA/j+73S53d3fZ7XbZ7XZ5eHgoOztb3bt3V3Jysnbv3q3bbrtNU6dOVUpKivbt21esfnJycrRixQpNmzZNTz75pFavXq2///3v2r17t/bv31+gj8mTJysoKEjHjh2TMUZNmjRRjRo11L17dx08ePBGvB0AAKCMskkqeicawMkGeQWWdghwQa2rZ5d2CMXWeVQndR7dqUDdfz/douSYZHV5uYtur1lZ2VnZStybpF+mb1ZyVLIkqcOI9vJpW1vL/rLiiv3897MtkqS6nerqock9VOWuKkrcfUxrJq3V6YTTVttqvtX02AeP6Lunf5DJufi/8nbP36d2L7TTuZNn9a9XVis5Ovm6vQ/Xy6u//19phwAAAK4BySRuGJJJFOVmTCZxfZFMAgBwc3CZeyYBAAAAADcPkkkAAAAAQLGRTAIAAAAAio1kEgAAAABQbCSTAAAAAIBiI5kEAAAAABQbySQAAAAAoNhIJgEAAAAAxUYyCQAAAAAoNpJJAAAAAECxkUwCAAAAAIqNZBIAAAAAUGwkkwAAAACAYiOZBAAAAAAUG8kkAAAAAKDYSCYBAAAAAMVGMgkAAAAAKDaSSQAAAABAsZFMAgAAAACKjWQSAAAAAFBsJJMAAAAAgGIjmQQAAAAAFBvJJAAAAACg2EgmAQAAAADFRjIJAAAAACg2kkkAAAAAQLGRTAIAAAClpHz58vrqq6906NAhnT59Wtu3b5efn99Vz9u4caOMMbLb7VbdlClTtHv3bl24cEEBAQEF2t97773au3evTpw4oXHjxln17u7uCg0NlY+Pj/MmhTKDZBIAAAAoJe7u7oqLi1PXrl3l6empN954Q4sXL1a9evUue86gQYPk7u5eqD4mJkZ/+9vftHr16kLH3n33XY0fP14tW7bU5MmTVbNmTUnSK6+8omXLlik+Pt55k0KZUfhTCAAAAOCGOHv2rN566y3r9erVqxUbG6u2bdvq8OHDhdpXqVJFAQEBGjp0qEJDQwscW7BggSRp8ODBhc6rX7++goODdf78eUVHR6tu3boqX768+vXrpy5dujh5VigrWJkEAAAAXESNGjXUuHFjRUREFHn8nXfe0axZs5SYmFisfvfu3atevXqpdu3a8vX11YEDB/Txxx/rb3/7m7Kzs50ROsogkkkAAADABbi7u+u7777T/PnztX///kLH27Ztqy5duuiTTz4pdt/jx4/XSy+9pFWrVumvf/2runTpovT0dB08eFD//Oc/FRISov79+ztjGihDSCYBAABukGrVqmn58uXKyMjQoUOH9PTTTxfZztPTU0FBQUpKSlJSUlKhzVTq1aun4OBgnTlzRvv27dNDDz1kHevRo4cOHjyohIQEDRgwoECf27ZtU+XKla/P5OAQm82mb775RufPn9fo0aOLPP75559r7NixysnJKXb/R44c0WOPPaa2bdtq5cqVmjJlisaPH68PP/xQixYt0h//+Ed99NFHqlatmjOmgzKCZBIAAOAG+eyzz3T+/HnVrFlTgwcP1qxZs9SsWbNC7WbMmKFKlSrJ19dX7du315AhQ/Tss89ax3/44Qft2LFD1atX1+uvv66lS5fqzjvvlCTNnDlTTzzxhPz8/DRr1iy5uV38de/dd9/Ve++9p4yMjBsyVxTP3LlzVbNmTfXr16/Iy06rVKmi++67T4sWLdKxY8cUHh4uSYqPj9f9999frLH+/ve/66uvvtLx48d1zz33aOvWrTp9+rTi4+PVsGFDp8wHZQPJJAAA18G1rkCNHz9ee/bs0enTp3Xw4EGNHz++yHYPPvigjDH6xz/+YdWxAnVzqVSpkvr166c33nhDZ86c0X/+8x+tWrVKQ4YMKdT2iSee0AcffKBz587p8OHDmjt3rp5//nlJUqNGjdSmTRsFBAQoMzNTy5cv1549e9SvXz9J0m233aaIiAjt3r1b58+fV/Xq1dWuXTvVr19fS5YsuaFzxrWZNWuWmjZtqieeeEKZmZlFtklLS9Ndd92lVq1aqVWrVnr00UclXbz0NSwsTNLFy2Q9PDzk5uZW4N/5NW3aVN26ddOsWbMkSbGxserRo4dq1KihRo0a6ciRI9dxprjVsJsrAADXQf4VqFatWmn16tXatWuXIiMjC7Sz2WwaOnSodu/erQYNGmjdunWKi4vTokWLrDbu7u4KDAwstHNj3gqU3W7Xpk2btHTpUuXm5rIC5aIaN26snJwcRUdHW3W7du1S165di2xvs9kK/LtFixaSpObNm+vgwYMFfr67du1S8+bNJUnHjx/XvffeK0nKzc1VSkqK/vnPfxZY2YTrqFu3rl588UVlZmYW2FTnL3/5izZv3qzIyEg1a9ZMcXFxSkpKso5XqFBBkpSUlGRd9jpnzpwCP+fJkyfr2Wef1fz58626zz77TGPHjlVubq4kadKkSfrhhx80depUvfPOOwXGAK7GJsmUdhAoGwZ5BZZ2CHBBrauzgxwKevX3/yvtEBxWqVIlpaSkqEWLFlbisGDBAh09elSTJk264rmBgYGy2Wx6+eWXrboJEybojjvuUI0aNRQfH6833nhDknTgwAE1aNBAknTs2DHde++98vX11ZQpU/TII49cp9mhpO6//34tWbJEtWrVsupeeOEFDR48WN27dy/Q9ptvvlGlSpXk7++vmjVrau3atfLx8VGFChX0zDPPaNSoUerUqZPVfurUqapdu7aee+45tWzZUjNnzlTFihX12muvqXnz5vLy8tKSJUs0bdo0lS9fXm+++aZ++eWXGzb36yV+KZ9zFObTf01ph1BmsDIJAICTFXcFKr8HHnhAX375pfW6bt26ev7559WmTRt9+umnBdqyAnVzycjIUJUqVQrUValSRenp6YXavvzyy/rkk08UHR2tkydP6ocffrAulb5aP7t27bKSU29vb02fPl2dOnXSv//9b40bN04JCQn65ZdfVK9evesxTQBlCPdMAgDgZJUrV1ZaWlqBurS0NN1+++1XPO/NN9+Um5ub5s2bZ9V9/PHH1j12l3rxxRcVGBio2bNna8iQIXrppZe0ceNGVahQQT///LOCg4P14IMPOmdScFhUVJTc3d0LbHDSsmXLIp8nmJKSomeeeUa1atVSixYt5Obmpt9++02SFBERobvvvrvAPbGX62fGjBmaPHmyMjMzrY1WDh8+rHLlysnLy+s6zBJAWcLKJAAATlacFag8o0aN0tChQ/XAAw/o/PnzkqTHH39ct99+uxYvXlzkOaxA3VzOnj2r5cuXa8qUKXrhhRfUqlUr9enTR507dy7U9u6771ZqaqpSU1PVq1cvjRgxwlrZjo6O1s6dOxUQEKDJkyfrkUce0b333mttwJOnZ8+eqlChglavXi3pfxutxMXFycPDQydPnrz+kwZwSytTyWTv3r0VGBgou92ur776Su+//35phwQAuAXlX4GKiYmRdPmVI0l67rnnNHHiRD344IM6evSoVf/QQw/pvvvu07FjxyRd3KU1JydH99xzj/r27Vugj6JWoC5cuGCtQJ04ceI6zRbFMXLkSH399dc6fksOIm0AABETSURBVPy4Tp48qZdeekmRkZG6//77tWbNGmv1um3btpo5c6aqVq2qqKgoDR48uMDmTQMHDlRQUJBSUlJ05MgR9e/fX8nJydbx8uXLa9q0aerTp49VN2bMGM2dO1ceHh4aOXKktQELAJRUmdmAx83NTVFRUXr44YcVHx+v8PBwPf3009q3b19ph1ZmsAEPisIGPLjUrbABj3TxOYDGGGsF6qefflLnzp0L7eY6aNAgTZ8+Xd27d9fvv/9e4FjlypV12223Wa8DAwOVkJCgf/zjH0pJSbHqe/bsqVGjRulPf/qTpIuXQb7yyiuKi4vT5s2b5eXlddMnDlFTRpR2CHBBlZrFlXYIcEFswHPjlJl7Jtu3b6+YmBjFxsbqwoULWrhwYYG/1gEA4EwjR45UxYoVdfz4cf3www8FVqDyX+46depUVa9eXeHh4UpPT1d6err1/LeMjAwlJSVZ5dy5czpz5kyBRDJvBWrs2LFW3ZgxY/TFF19ow4YNrEABAK6bMrMy2a9fP/n5+Wn48OGSpGeeeUYdOnTQmDFjSjmysoOVSRSFlUlcqlWrlKs3QplTr9nx0g4BLoiVSRSFlckbp8zcM5n/wb95jCmcRw8fPlwjRly8lKZChQrKzMy87rEBAIArS7t6E5RBfC5QlPDwKaUdwi0lOTn5ss8uLjPJZHx8vOrUqWO99vHxUUJCQqF2c+bM0Zw5c25kaAAAAABw0ykz90yGh4erUaNG8vX1Vbly5TRw4ECtWrWqtMMCAAAAgJtSmVmZzMnJ0ejRo7V27VrZ7XZ9/fXXhXbUAwAAAABcmzKzMilJa9asUZMmTdSwYUO98847pR0OALiMgIAAGWMUGxtb2qHclIwxMsbI39//sm3mzZsnY4w2bdp0AyNzzLXM61ZUr149a+5du3a9bDu+NwDKujKVTAKAK9i0aVOpJRV5Y8+bN69AfXx8vEJDQ7Vjx44bGk/nzp21ZMkSJSQkKDMzU0eOHNGKFSvUrVs3p4/l7+9vJQil4cCBAwoNDXXaVTFjx47Vnj17lJGRobS0NO3fv1+LFy8usD+Ao0JDQxUaGqoTJ044rU9naN++vfWzNMaoadOmTu0/KyvLmvvp06ed2ndxlNVkHsDNo8xc5goAuLy5c+dq7ty5N3TMUaNGKTAwUHa7XRcuXFBMTIw8PT3Vt29fpaamKiQk5IbGc6ly5crpwoULTutv6tSpmjp1qlP6Gj9+vKZNmyZJioqKUlZWlurXr6/GjRtr+vTpiotz7HEJeXPv1KmTM8J1uqFDhxZ6PWnSJKf1n5iY6LJzBwBXYygUCoVy48qmTZuMMcZs2rTJSDJ5/P39rTaX1vn7+1t1PXv2NLt37zYZGRlm/fr1pnbt2tZ5NpvNjBs3zuzZs8ecO3fOnDp1ymzcuNFUq1bNxMbGmqLUq1fPBAQEGGOMiY2Ntfqy2+3m9ddfN1FRUSYrK8skJyebRYsWmbvvvttqk/+8p59+2sTExJi0tDSzZMkS4+npedn3oHnz5iY7O9sYY0x4eLjx8fGxjjVp0sQMGDDAet26dWvz448/mpSUFJOZmWn27NljXnrppQL95Rk/frxZtGiRycjIMDExMaZfv34F4rxUQECAqVevnvV6+PDhJiQkxGRmZlrvfXHGz/8zvLTMmzevwM/9WuK+XAkNDTXGGPPmm29adW5ubqZHjx6mVq1aVl2FChXMu+++aw4ePGiysrJMXFyc+eCDD4yHh0ehz+OCBQvMRx99ZJKTk01wcPBl53W19yP/+9m1a9fL1tWqVcv88MMP5tixYyYzM9PEx8ebNWvWmHbt2l1x7u7u7ubEiRPGGGO2bt1qjDHmyJEjxmazFWjn6elpAgMDzaFDh0xWVpY5duyY+fLLL6/peFHxSjLjx483iYmJJi0tzXz66afm7bffLvS9cXNzM6+++qrZt2+fyczMNElJSWb27NmmatWqRX4Wxo0bZ+Lj483JkyfNl19+acqVK1dg/PzyxunUqZPZtGmTOXnypDl79qyJiYkxixYtKjAGhUKh3KBS6gFQKBRKmSqOJpPnzp0z+/bts5KxhQsXWud98cUXVruEhASrXb169czy5ctNWlqaMcaY48ePmy1btpgtW7YYb2/vIpPJoKAgq6/IyEiTnp5ujDHm2LFjpkaNGkb6X5J2/vx5k5mZaX7//XfrnPfee++y78G0adOsdi1btrxsu2bNmpmMjAxjjDGnTp0yUVFR1nkBAQGF3q+srCxz5MgRc+rUKWOMMRkZGaZ69epm2LBhJiYmxmqXN/dhw4YV+MU975f/iIgIM3To0GKPX9Jk8nJxX66v3377zRhjzH//+1/z2GOPXbbtunXrrHnt3LnTnDlzxhhjzIoVKwp9HjMzM01mZqbZtWuX+de//lXkvK7l/bjWZHL58uXGGGNOnz5ttm7dauLi4q76Hkoyffr0McZc/B40btzYXLhwwRhjTI8ePaw25cuXNzt37rTG3L9/vzl8+LD1+b7a8aLi7devn1UXHx9vEhISrO9E/u/NnDlzjDHGZGdnm127dpnU1FRjzMU/mtjt9gKfhaysLOsPCHlefPFF4+3tbbZs2WLVxcTEmC1btpjly5cbm81mJdMJCQlmx44dJjk52Rhz8Q9Dpf3/NwqFUuZKqQdAoVAoZao4mkz+5S9/MZLMhx9+aIwxJjEx0Ugy9evXNzk5OcYYY7788kvj5uZmJJkGDRqYypUrFxh73rx5BWK6NJls0KCBNd6ECROs/s+dO2eMMeatt94qcJ4xxvTu3dtIMkuXLjXGGBMaGnrZ9+DHH380xhiTlpZ2xfdqwYIFxhhjjh49aqpVq2YkmdmzZxtjjDl79qypVKlSgfdr8+bNxm63mxYtWlh1fn5+hd7D/GPkTxw2bNhgypcvb6SLK0zFHb+kyeSV4i6qDB8+3Fxq165dZuzYsdbPvVu3bsYYY3Jyckzr1q2NJHPPPfdY7Vu1alXgM5GZmWmaNWtmzb2oeV3L+3GtyeTu3bsLvWd169a9akK0bNkyY4wxy5YtM5LMzz//bIwp+JnO/7N+5plnrPq8OV/teFHx/vrrr8aYi6uh5cqVMxUqVDARERHGmP99b/J/B/v27WskmRo1alhJfF5d3mfhwoULpnnz5kb63x8I8v9x6NL3X5K54447rPr871WbNm2szyOFQqHcqMIGPABwk1m4cKEkad++fZIkLy8vSVLbtm3l5nbxf+vTp09Xbm6upIsbv2RkZBRrjDZt2lj/XrRokSQpNjZWv/32mzVWfqmpqVq7dm2BuGrUqHHZ/m02myRddTOcvHHWr1+vlJQUSdIPP/wgSapYsaKaNWtWoP3SpUuVk5NjxXC1OC41e/ZsnT9/XpKUm5tb7PFLqrhxz5kzR71799by5cuVlpYmSbr33ns1c+ZMBQQESJLuu+8+SZKbm5u2b98uY4x2795t9dG+ffsCfQYHB1ubA+V9di7lzPdj9erVki7erxsVFaUVK1boiSeeUGJi4mXPqVq1qh577DFJ0rfffitJ+v777yVJ/fr1U8WKFSVJ7dq1kyQdO3bMaidJO3fuvKbjRcmb248//qgLFy4oMzNTa9asKdAm/3dwxYoVMsYoKSlJlSpVklT4Pd+7d68iIiIkSfv375d09c/rqVOnFBoaKunid23nzp1asGCB6tatq7Nnz17xXABwNjbgAQAXYbfbJUm33377FdvlJQ/Z2dmSZP3ympegSVdP0pwtNTXV+ndeXPnjuVRkZKQeffRReXp6qkWLFtq7d69T48jJybHqrhTHpZKSkpwSR3GVJO5169Zp3bp1stlsateunebPn68//OEP+uMf/6iAgADr/OzsbG3durXQ+enp6QVeO2vu+T97eZ/pKlWqFGo3adIkbdmyRb1791bz5s3Vu3dv9e3bV82aNdOoUaOK7HvgwIHy8PCQJAUFBenrr7+2Pv+33367nnzySX333XdX/WPFtf4x42rzu1y/khQeHl7g5ylJycnJBV4X93uTp0ePHnrmmWd0//33q3nz5ho8eLCGDBmiAQMGaMmSJdc0DwBwBlYmAaCUHT9+XJLUoEEDSdLjjz9eon62bt1qrSj99a9/tX4p9fX11W233SZJ1spF3uvL2b59u/Xvp556SpJUv359a2Vl27ZtJYoxT1BQkPWL9ty5c1W7dm3rWMOGDTVgwIAC4zz88MOqVq2aJOnpp5+WJJ07d65Yj9nIv2qTt1J0Nc4c35kmT56sBx54QNLF5Oa3336znnWY9yiLvATS3d1dEydOVKdOndSpUyd17dpVH3zwgX766adij3st70f+x4hc6TPdpUsXbdiwQaNGjVK3bt2s5z/nzasoQ4YMsf5dpUoVVa1atUCimnc8bwX9rrvusuKTpHvuueeajhcl72f92GOPqVy5cvLw8JCfn1+BNvm/F5999pn1nnfp0kUBAQFatmzZZfsvyuW+rx07dtTcuXPl7++v++67z3rM0JXeOwC4Xkr9WlsKhUIpS+XSeyYXLVpk3bMWHBxsbXCS/16pou73K6ou/wY8R48eNZGRkebChQvWvVXTp083xlzcHGTbtm1mzZo1Rip8z6R0+Q14EhMTC23Ak/+8ouqKKqNHj7buLzt//ryJiIgwhw8fNjk5Odb9b/k3fDl58mSxNsC5tC7//YKHDh0yW7ZsMZ07d77szp2Ojn9pudI9k1eKu6gSHh5ujDEmPT3d7Nq1y9q8xhhjRo4cabXbuHGjMebifZN79+41+/btM2fPnjXG/O9+u8vdR1tULNf6foSFhRljLm6uExISYrKysgq9x5s3bzbnzp0z+/fvN9u3b7fafPfdd0XOOf99vPl3+5VknnvuOWPMxc91rVq1itxgJzY21hw8eNBIRW/Ak/94UZ+J/v37W3V5G/Dk3UOc/7P+9ddfW+2ioqLMnj17rO9OXl9FfRaKqtu2bZv1PoaFhZm3337b2O12Y4wxqampZs+ePSYyMtIab/jw4aX+/zcKhVK2CiuTAHCD5a0y5F1m+Morr2jDhg3Kzs5WzZo1NXDgwBL3/dJLL+mVV17R3r17Vb16dd11113avHmztVr14Ycfav369Tp79qzatGlj3VdXlGHDhmny5MmKjo5WgwYNlJWVpcWLF6tz587WaqojPv30Uz344INatmyZTp48qYYNG6pcuXJavXq15s+fL+niatADDzyg1atXy263q27dutq7d69Gjhypt956q1jj7dmzR1OmTFFiYqLq1aunjh07Wqtrl+PM8Z3pgw8+0JIlS5SUlKQGDRrIy8tLERERGj9+vD7//HOr3eOPP653331XsbGxatSokapXr64dO3bo9ddfL9Flrdf6fjz//PMKCwuTu7u7KlWqpGeffbZQX4sXL9b27dt1xx13qFmzZjp+/Ljmzp2r0aNHFzl23qpjVlZWoXsVf/zxR+Xk5Mhut2vw4ME6f/68unXrpk8++URHjhyRr6+vKlSooPXr10vSVY8XZenSpZo4caKOHz+uKlWq6Oeff9bHH39cqN0LL7ygv/3tb4qMjFTdunVVu3Zt7d+/X2+//XaxL+d++eWXtXv3bpUvX17t27dX48aNlZOToy+++EJHjhxR3bp1Va9ePe3fv1+TJ0/WnDlzitU/ADjKpotZJQDgOvPw8NBDDz2klStXyt3dXdOnT9f48eNLOywAAIASIZkEgBtk06ZN6tatm6SL95e1aNFCBw8eLN2gAAAASojLXAHgBjHG6PTp0woODpafnx+JJAAAuKmxMgkAAAAAKDZWJgEAAAAAxUYyCQAAAAAoNpJJAAAAAECxkUwCAAAAAIqNZBIAAAAAUGwkkwAAAACAYvt/xPWkGOy23r8AAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 1080x864 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"jc_order = ['Give way or uncontrolled', 'Auto traffic signal', 'Authorised person',\n",
" 'Stop sign','Not at junction or within 20 metres']\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,12))\n",
"sns.despine(top=False, right=True, left=True)\n",
"\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"junction_control\", hue_order=jc_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
" \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"junction_control\", hue_order=jc_order,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12)\n",
" \n",
"fig.suptitle(\"Junction Control in Accidents\", fontsize=18, fontweight=\"bold\")\n",
"ax1.set_xlabel('Junction Control in Not Serious Accidents\\n', fontsize=13.5, fontweight=\"bold\")\n",
"ax2.set_xlabel('Junction Control in Serious Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.savefig('junction_control.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Hit Object Off Carriageway\n",
"The following graphs show if a vehicle hit an object off of the road and what object, if they hit one during the accident."
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x864 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"hooffc_order=['None', 'Lamp post', 'Road sign or traffic signal', 'Other permanent object',\n",
" 'Entered ditch', 'Tree', 'Near/Offside crash barrier','Central crash barrier',\n",
" 'Bus stop or bus shelter', 'Telegraph or electricity pole', 'Submerged in water',\n",
" 'Wall or fence']\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,12))\n",
"sns.despine(top=False, right=True, left=True)\n",
"\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"hit_object_off_carriageway\", hue_order=hooffc_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.3f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
" \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"hit_object_off_carriageway\", hue_order=hooffc_order,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12)\n",
" \n",
"fig.suptitle(\"Objects Hit Off Carriageway in Accidents\", fontsize=18, fontweight=\"bold\")\n",
"ax1.set_xlabel('Objects Hit Off Carriageway in Not Serious Accidents\\n', fontsize=13.5, fontweight=\"bold\")\n",
"ax2.set_xlabel('Objects Hit Off Carriageway in Serious Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.savefig('hit_object_off_carriageway.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Hit Object In Carriageway\n",
"The following graphs show if a vehicle hit an object on the road and what object, if they hit one during the accident."
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x864 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"hoinc_order=['None', 'Kerb', 'Other object', 'Bollard or refuge', 'Parked vehicle',\n",
" 'Road works', 'Open door of vehicle', 'Central island of roundabout',\n",
" 'Previous accident', 'Bridge (side)', 'Any animal (except ridden horse)',\n",
" 'Bridge (roof)']\n",
"\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,12))\n",
"sns.despine(top=False, right=True, left=True)\n",
"\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"hit_object_in_carriageway\", hue_order=hoinc_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.3f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
" \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"hit_object_in_carriageway\", hue_order=hoinc_order,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.3f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12)\n",
" \n",
"fig.suptitle(\"Objects Hit in Carriageway in Accidents\", fontsize=18, fontweight=\"bold\")\n",
"ax1.set_xlabel('Objects Hit in Carriageway in Not Serious Accidents\\n', fontsize=13.5, fontweight=\"bold\")\n",
"ax2.set_xlabel('Objects Hit in Carriageway in Serious Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.savefig('hit_object_in_carriageway.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Driver IMD Decile\n",
"The Driver IMD Decile is the score for the deprivation of an area. The graphs below show accidents by how deprived an area was at the time of the accident. "
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x1080 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"imd_order=[\"Least deprived 10%\", \"Less deprived 10-20%\", \"Less deprived 20-30%\", \n",
" \"Less deprived 30-40%\",\"Less deprived 40-50%\",\"Most deprived 10%\",\n",
" \"More deprived 10-20%\", \"More deprived 20-30%\", \"More deprived 30-40%\",\n",
" \"More deprived 40-50%\"]\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,15))\n",
"sns.despine(top=False, right=True, left=True)\n",
"\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"driver_imd_decile\", hue_order=imd_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
" \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"driver_imd_decile\", hue_order=imd_order,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12)\n",
" \n",
"fig.suptitle(\"Driver Area Deprivation Scores in Accidents\", fontsize=18, fontweight=\"bold\")\n",
"ax1.set_xlabel('Driver Area Deprivation Scores in Not Serious Accidents\\n', fontsize=13.5, fontweight=\"bold\")\n",
"ax2.set_xlabel('Driver Area Deprivation Scores in Serious Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.savefig('driver_imd_decile.png')\n",
"fig.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Junction Detail\n",
"The following graphs show the road features in relations to where the accidents occured."
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x1080 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"jud_order=['T or staggered junction', 'Mini-roundabout', 'Crossroads',\n",
" 'Private drive or entrance', 'More than 4 arms (not roundabout)',\n",
" 'Roundabout', 'Slip road', 'Other junction','Not at junction or within 20 metres']\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,15))\n",
"sns.despine(top=False, right=True, left=True)\n",
"\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"junction_detail\", hue_order=jud_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
" \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"junction_detail\", hue_order=jud_order,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12)\n",
" \n",
"fig.suptitle(\"Junction Details in Accidents\", fontsize=18, fontweight=\"bold\")\n",
"ax1.set_xlabel('Junction Details in Not Serious Accidents\\n', fontsize=13.5, fontweight=\"bold\")\n",
"ax2.set_xlabel('Junction Details in Serious Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.savefig('junction_detail.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Junction Location\n",
"The graphs below show where the accidents occured on the roads."
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x1080 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"jul_order=['Mid Junction - on roundabout or on main road', 'Entering main road',\n",
" 'Approaching junction or waiting/parked at junction approach',\n",
" 'Cleared junction or waiting/parked at junction exit', 'Leaving main road',\n",
" 'Leaving roundabout', 'Entering roundabout', 'Entering from slip road',\n",
" 'Not at or within 20 metres of junction']\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,15))\n",
"sns.despine(top=False, right=True, left=True)\n",
"\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"junction_location\", hue_order=jul_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
" \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"junction_location\", hue_order=jul_order,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12)\n",
" \n",
"fig.suptitle(\"Junction Locations in Accidents\", fontsize=18, fontweight=\"bold\")\n",
"ax1.set_xlabel('Junction Locations in Not Serious Accidents\\n', fontsize=13.5, fontweight=\"bold\")\n",
"ax2.set_xlabel('Junction Locations in Serious Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax2.set_ylabel('Number of Accidents', fontsize=15, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"plt.style.use('dark_background')\n",
"\n",
"plt.savefig('junction_location.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Propulsion Code\n",
"The propulsion ode is the type of fuel used to power the car. The graphs below show what type of fuel was used in the vehicles in the accidents."
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x1080 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pd_order=['Petrol', 'Heavy oil', 'Hybrid electric', 'Bio-fuel', 'LPG Petrol', 'Diesel',\n",
" 'Fuel cells', 'New fuel technology', 'Electric diesel']\n",
"pd_order2=['Petrol', 'Heavy oil', 'Hybrid electric', 'Bio-fuel', 'LPG Petrol', 'Electric diesel']\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,15))\n",
"sns.despine(top=False, right=True, left=True)\n",
"\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"propulsion_code\", hue_order=pd_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
" \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"propulsion_code\", hue_order=pd_order2,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12)\n",
" \n",
"fig.suptitle(\"Propulsion Codes in Accidents\", fontsize=18, fontweight=\"bold\")\n",
"ax1.set_xlabel('Propulsion Codes in Not Serious Accidents\\n', fontsize=13.5, fontweight=\"bold\")\n",
"ax2.set_xlabel('Propulsion Codes in Serious Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax2.set_ylabel('Number of Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.savefig('propulsion_code.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Year\n",
"The year of the accidents."
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x1080 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"year_order=[2010, 2011, 2012, 2013, 2014, 2015, 2016]\n",
"\n",
"\n",
"fig, ax =plt.subplots(nrows=2, ncols=1,figsize = (15,15))\n",
"sns.despine(top=False, right=True, left=True)\n",
"\n",
"ax1 =sns.countplot(\"accident_seriousness\", hue=\"year\", hue_order=year_order,\n",
" palette=\"plasma\", data=not_serious, ax=ax[0])\n",
"for p in ax1.patches:\n",
" height = p.get_height()\n",
" ax1.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/nstotal*100),\n",
" ha=\"center\",fontsize=12) \n",
" \n",
"ax2 = sns.countplot(\"accident_seriousness\", hue=\"year\", hue_order=year_order,\n",
" palette=\"plasma\", data=serious, ax=ax[1])\n",
"for p in ax2.patches:\n",
" height = p.get_height()\n",
" ax2.text(p.get_x()+p.get_width()/2.,\n",
" height + 4,\n",
" '{:1.2f}%'.format(height/setotal*100),\n",
" ha=\"center\",fontsize=12)\n",
" \n",
"fig.suptitle(\"Accidents by Year\", fontsize=18, fontweight=\"bold\")\n",
"ax1.set_xlabel('Not Serious Accidents by Year\\n', fontsize=13.5, fontweight=\"bold\")\n",
"ax2.set_xlabel('Serious Accidents by Year', fontsize=13.5, fontweight=\"bold\")\n",
"ax1.set_ylabel('Number of Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax2.set_ylabel('Number of Accidents', fontsize=13.5, fontweight=\"bold\")\n",
"ax1.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"ax2.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.savefig('year.png')\n",
"fig.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Visualization Summary\n",
"* <b>did_police_officer_attend_scene_of_accident:</b> Police attended most accidents but were less likely to NOT be called in serious accidents.\n",
"* <b>x1st_point_of_impact:</b> Majority of accidents were front impacted as the first point of impact. Not serious accidents had a higher percentage of Back impact accidents than serious accidents. Serious accidents had higher percentages of Offside and Nearside accidents. \n",
"* <b>number_of_vehicles:</b> Nothing significant.\n",
"* <b>speed_limit:</b> Majority of accidents occurred in 30 speed limit zones. It would have been beneficial to have actual data on the speeds of the vehicles involved or at least if they were speeding.\n",
"* <b>urban_or_rural_area:</b> Rural areas had a higher percentage of serious accidents. This may relate to hospital locations or emergency vehicle arrival data which was not available.\n",
"* <b>skidding_and_overturning:</b> Higher percentages of serious accidents involved skidding, jackknifing or overturning.\n",
"* <b>vehicle_leaving_carriageway:</b> Most vehicles did not leave the carriageway in either type of accident, however serious accidents had higher percentages of those that did leave the carriageway.\n",
"* <b>sex_of_driver:</b> Men were more involved in both serious and not serious accidents, however according to racfoundation.org, there are only 355 of female privately registered cars on UK roads.\n",
"* <b>vehicle_type:</b> Motorcycles were involved in a significantly higher percentage of serious accidents than not serious accidents\n",
"* <b>vehicle_manoeuvre:</b> Nothing significant. \n",
"* <b>driver_home_area_type:</b> Rural and Small Towns has higher percentages of serious accidents. This may relate to hospital locations or emergency vehicle arrival data which was not available.\n",
"* <b>age_band_of_driver:</b> The age bands over the age of 25 had a higher percentage of serious accidents than not serious.\n",
"* <b>junction_control:</b> Most areas with accidents were uncontrolled. \n",
"* <b>hit_object_off_carriageway:</b> The majority of accidents did not involve objects being hit off the carriageway, however serious accidents had higher percentages of accidents that did involve hitting an object off the carriageway.\n",
"* <b>hit_object_in_carriageway:</b> Most accidents did not involve objects being hit in the carriageway; however serious accidents had higher percentages of accidents that did involve hitting an object off the carriageway.\n",
"* <b>driver_imd_decile:</b> Nothing significant. Most accidents occurred in areas that were Less deprived 20-30%\n",
"* <b>junction_detail:</b> T or staggered junctions were where most of the accidents occurred.\n",
"* <b>junction_location:</b> Nothing that separates the two serious types. However, most accidents seem to have occurred in Mid Junction - on roundabout or on main road or situations where the driver was approaching junction or waiting/parked at junction approach.\n",
"* <b>propulsion_code:</b> Diesel, Fuel cells, New fuel technology, vehicles were not recorded as a part of serious accidents.\n",
"* <b>year:</b> There has been a spike in percentage of serious accidents over the years. However, the percentage of not serious accidents has remained somewhat consistent"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Other Visualizations\n",
"\n",
"Due to the previous visualizations a comparison of certain variables was desired to see more correlations.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Junction Control by Junction Detail\n",
"The following graph shows what type of traffic control were in specific areas of the road where accidents occured."
]
},
{
"cell_type": "code",
"execution_count": 246,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1080 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#Not Serious Accident\n",
"plt.figure(figsize=(20,15))\n",
"ax=sns.countplot(\"junction_control\", hue=\"junction_detail\",\n",
" palette=\"plasma\", data=df)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.title(\"Junction Control by Junction Detail\",fontsize=25,fontweight=\"bold\")\n",
"plt.xlabel(\"\\nAccident by Year\", fontsize=15, fontweight=\"bold\")\n",
"plt.legend().set_title('')\n",
"plt.legend(fontsize='22', loc = 'upper right')\n",
"plt.ylabel(\"\\nNumber of Accidents\", fontsize=15, fontweight=\"bold\")\n",
"\n",
"plt.xticks(fontsize=15)\n",
"plt.yticks(fontsize=15)\n",
"plt.legend(fontsize='15', bbox_to_anchor=(1.04, 1), loc='upper right', ncol=1)\n",
"# plt.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"sns.despine(top=True, right=True, left=True, bottom=False)\n",
"plt.savefig('junction_control_by_junction_detail.png')\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Junction Control by Junction Location\n",
"The graph below is a more detailed look at junction areas in relation to the accidents."
]
},
{
"cell_type": "code",
"execution_count": 245,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1080 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"plt.figure(figsize=(20,15))\n",
"ax=sns.countplot(\"junction_control\", hue=\"junction_location\",\n",
" palette=\"plasma\", data=df)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.title(\"Junction Control by Junction Location in Accidents\",fontsize=25,fontweight=\"bold\")\n",
"plt.xlabel(\"\\nAccident by Year\", fontsize=15, fontweight=\"bold\")\n",
"plt.legend().set_title('')\n",
"plt.legend(fontsize='22', loc = 'upper right')\n",
"plt.ylabel(\"\\nNumber of Accidents\", fontsize=15, fontweight=\"bold\")\n",
"\n",
"plt.xticks(fontsize=15)\n",
"plt.yticks(fontsize=15)\n",
"plt.legend(fontsize='15', bbox_to_anchor=(1.04, 1), loc='upper right', ncol=1)\n",
"# plt.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"sns.despine(top=True, right=True, left=True, bottom=False)\n",
"plt.savefig('junction_control_by_junction_location.png')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### First point of Impact by Junction Detail\n",
"The graph below shows where impact first occured in the detailed road area type."
]
},
{
"cell_type": "code",
"execution_count": 248,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1440x1080 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(20,15))\n",
"ax=sns.countplot(\"x1st_point_of_impact\", hue=\"junction_detail\",\n",
" palette=\"plasma\", data=df)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.title(\"First point of Impact by Junction Detail\",fontsize=25,fontweight=\"bold\")\n",
"plt.xlabel(\"\\nAccident by Year\", fontsize=15, fontweight=\"bold\")\n",
"plt.legend().set_title('')\n",
"plt.legend(fontsize='22', loc = 'upper right')\n",
"plt.ylabel(\"\\nNumber of Accidents\", fontsize=15, fontweight=\"bold\")\n",
"\n",
"plt.xticks(fontsize=15)\n",
"plt.yticks(fontsize=15)\n",
"plt.legend(fontsize='15', bbox_to_anchor=(1.04, 1), loc='upper right', ncol=1)\n",
"# plt.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"sns.despine(top=True, right=True, left=True, bottom=False)\n",
"plt.savefig('x1st_point_of_impact_by_junction_detail.png')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### First point of Impact by Junction Location\n",
"The graph below shows where the accident occured and what was the first point of impact."
]
},
{
"cell_type": "code",
"execution_count": 247,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1440x1080 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(20,15))\n",
"ax=sns.countplot(\"x1st_point_of_impact\", hue=\"junction_location\",\n",
" palette=\"plasma\", data=df)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.title(\"First point of Impact by Junction Location\",fontsize=25,fontweight=\"bold\")\n",
"plt.xlabel(\"\\nAccident by Year\", fontsize=15, fontweight=\"bold\")\n",
"plt.legend().set_title('')\n",
"plt.legend(fontsize='22', loc = 'upper right')\n",
"plt.ylabel(\"\\nNumber of Accidents\", fontsize=15, fontweight=\"bold\")\n",
"\n",
"plt.xticks(fontsize=15)\n",
"plt.yticks(fontsize=15)\n",
"plt.legend(fontsize='15', bbox_to_anchor=(1.04, 1), loc='upper right', ncol=1)\n",
"# plt.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"sns.despine(top=True, right=True, left=True, bottom=False)\n",
"plt.savefig('x1st_point_of_impact_by_junction_location.png')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Junction Control and First Point of Impact\n",
"The following graph shows what type of traffic controls (signange or otherwise) were present at the first point of impact."
]
},
{
"cell_type": "code",
"execution_count": 249,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x1080 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(20,15))\n",
"ax=sns.countplot(\"x1st_point_of_impact\", hue=\"junction_control\",\n",
" palette=\"plasma\", data=df)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.title(\"First point of Impact by Junction Control\",fontsize=25,fontweight=\"bold\")\n",
"plt.xlabel(\"\\nAccident by Year\", fontsize=15, fontweight=\"bold\")\n",
"plt.legend().set_title('')\n",
"plt.legend(fontsize='22', loc = 'upper right')\n",
"plt.ylabel(\"\\nNumber of Accidents\", fontsize=15, fontweight=\"bold\")\n",
"\n",
"plt.xticks(fontsize=15)\n",
"plt.yticks(fontsize=15)\n",
"plt.legend(fontsize='15', bbox_to_anchor=(1.04, 1), loc='upper right', ncol=1)\n",
"# plt.tick_params(axis='x', which='both', bottom=False, top=False, labelbottom=False)\n",
"sns.despine(top=True, right=True, left=True, bottom=False)\n",
"plt.savefig('x1st_point_of_impact_by_junction_control.png')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Other Visualizations Summary\n",
"No matter the situation above, the most accidents were involving areas that were uncontrolled. One of the main ones were the junction Detail T or staggered junction.\n",
"\n",
"Other areas of concern include Mid Junctions on roundabouts or main roads and areas approaching a junction were cars were either parking or waiting in the junction. \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Solution\n",
"\n",
"From the data above more controlled areas would be benefical. Maybe signs alerting drivers of the upcoming junctions, traffic lights, or stop signs would help in some of these areas where they are feasible. \n",
"\n",
"\n",
"\n",
"For example, this is a staggered junction, the main junction detail in accidents. One can understand how a situation such as these can lead to numerous accidents especially if proper signage is not available. Perhaps traffic lights, stop signs, or warnings indicating that they are approaching certain junctions would help reduce accidents."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Web Scraping\n",
"Below you wll find a web scrape of the website, [Learner Driving Centres](https://www.learnerdriving.com/learn-to-drive/highway-code/road-signs), which contains information on road signs in the UK. They were pulled to show examples of signage available to be placed. "
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"#request website\n",
"r = requests.get('https://www.learnerdriving.com/learn-to-drive/highway-code/road-signs')\n",
"\n",
"#parse HTML\n",
"soup = BeautifulSoup(r.text, 'html.parser')\n",
"\n",
"#filter results\n",
"results = soup.find_all('div', attrs={'class':'fifth'})"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/images/highway-code/entry-to-20-mph-zone.png'"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#done to find specific results area\n",
"first_result=results[0]\n",
"first_result\n",
"first_result.find('img')['src']"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"#get images of signs and sign descriptions \n",
"signage = []\n",
"for result in results:\n",
" sign=result.find('img')['src']\n",
" sign_desc=result.contents[1]\n",
" signage.append((sign, sign_desc))"
]
},
{
"cell_type": "code",
"execution_count": 14,
"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>Sign</th>\n",
" <th>Sign Description</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>/images/highway-code/entry-to-20-mph-zone.png</td>\n",
" <td>Entry to 20 mph zone</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>/images/highway-code/end-of-20-mph-zone.png</td>\n",
" <td>End of 20 mph zone</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>/images/highway-code/maximum-speed.png</td>\n",
" <td>Maximum speed</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>/images/highway-code/national-speed-limit-appl...</td>\n",
" <td>National speed limit applies</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>/images/highway-code/school-crossing-patrol.png</td>\n",
" <td>School crossing patrol</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Sign \\\n",
"0 /images/highway-code/entry-to-20-mph-zone.png \n",
"1 /images/highway-code/end-of-20-mph-zone.png \n",
"2 /images/highway-code/maximum-speed.png \n",
"3 /images/highway-code/national-speed-limit-appl... \n",
"4 /images/highway-code/school-crossing-patrol.png \n",
"\n",
" Sign Description \n",
"0 Entry to 20 mph zone \n",
"1 End of 20 mph zone \n",
"2 Maximum speed \n",
"3 National speed limit applies \n",
"4 School crossing patrol "
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#put pulled UK Traffic Signs into dataframe\n",
"uktrafficsigns = pd.DataFrame(signage, columns=['Sign', 'Sign Description'])\n",
"uktrafficsigns.head()"
]
},
{
"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>Sign</th>\n",
" <th>Sign Description</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>https://www.learnerdriving.com//images/highway...</td>\n",
" <td>Entry to 20 mph zone</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>https://www.learnerdriving.com//images/highway...</td>\n",
" <td>End of 20 mph zone</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>https://www.learnerdriving.com//images/highway...</td>\n",
" <td>Maximum speed</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>https://www.learnerdriving.com//images/highway...</td>\n",
" <td>National speed limit applies</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>https://www.learnerdriving.com//images/highway...</td>\n",
" <td>School crossing patrol</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Sign \\\n",
"0 https://www.learnerdriving.com//images/highway... \n",
"1 https://www.learnerdriving.com//images/highway... \n",
"2 https://www.learnerdriving.com//images/highway... \n",
"3 https://www.learnerdriving.com//images/highway... \n",
"4 https://www.learnerdriving.com//images/highway... \n",
"\n",
" Sign Description \n",
"0 Entry to 20 mph zone \n",
"1 End of 20 mph zone \n",
"2 Maximum speed \n",
"3 National speed limit applies \n",
"4 School crossing patrol "
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'''\n",
"the \"image\" is just part of the image link, \n",
"must parse the first half in order to have full image link\n",
"\n",
"'''\n",
"uktrafficsigns['Sign'] = 'https://www.learnerdriving.com/'+uktrafficsigns['Sign'] \n",
"uktrafficsigns.head()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"'''\n",
"In some coding below I saw that one of the fields was blank (at index 42) but was not reading as null.\n",
"In order to fix that I changed the \"Sign Description\" and decided to place it here.\n",
"'''\n",
"uktrafficsigns.at[42,'Sign Description']=\"T-junction with priority over vehicles from the right\""
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"#I wanted to save this as a csv for later, and to stop unnecessary web scraping\n",
"uktrafficsigns.to_csv('uktrafficsigns.csv', header=False, index=False) "
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Sign</th>\n",
" <th>Sign Description</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/entry-to-20-mph-zone.png\" width=\"60\" ></td>\n",
" <td>Entry to 20 mph zone</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/end-of-20-mph-zone.png\" width=\"60\" ></td>\n",
" <td>End of 20 mph zone</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/maximum-speed.png\" width=\"60\" ></td>\n",
" <td>Maximum speed</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/national-speed-limit-applie.png\" width=\"60\" ></td>\n",
" <td>National speed limit applies</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/school-crossing-patrol.png\" width=\"60\" ></td>\n",
" <td>School crossing patrol</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/stop-and-give-way.png\" width=\"60\" ></td>\n",
" <td>Stop and give way</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/give-way-to-traffic-on-majo.png\" width=\"60\" ></td>\n",
" <td>Give way to traffic on major road</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/manually-operated-temporary.png\" width=\"60\" ></td>\n",
" <td>Manually operated temporary</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/manually-operated-go.png\" width=\"60\" ></td>\n",
" <td>STOP and GO signs</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-entry-for-vehicular-traf.png\" width=\"60\" ></td>\n",
" <td>No entry for vehicular traffic</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-vehicles-except-bicycles.png\" width=\"60\" ></td>\n",
" <td>No vehicles except bicycles being pushed</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-cycling.png\" width=\"60\" ></td>\n",
" <td>No cycling</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-motor-vehicles.png\" width=\"60\" ></td>\n",
" <td>No motor vehicles</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-buses-over-8-passenger-.png\" width=\"60\" ></td>\n",
" <td>No buses (over 8 passenger seats)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-overtaking.png\" width=\"60\" ></td>\n",
" <td>No overtaking</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-towed-caravans.png\" width=\"60\" ></td>\n",
" <td>No towed caravans</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-vehicles-carrying-explos.png\" width=\"60\" ></td>\n",
" <td>No vehicles carrying explosives</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-vehicle-or-combination-o.png\" width=\"60\" ></td>\n",
" <td>No vehicle or combination of vehicles over length shown</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-vehicles-over-height-sho.png\" width=\"60\" ></td>\n",
" <td>No vehicles over height shown</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-vehicles-over-width-show.png\" width=\"60\" ></td>\n",
" <td>No vehicles over width shown</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/give-priority-to-vehicles-f.png\" width=\"60\" ></td>\n",
" <td>Give priority to vehicles from opposite direction</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-right-turn.gif\" width=\"60\" ></td>\n",
" <td>No right turn</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-left-turn.gif\" width=\"60\" ></td>\n",
" <td>No left turn</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-u-turns.png\" width=\"60\" ></td>\n",
" <td>No U-turns</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/no-goods-vehicles-over-maxi.png\" width=\"60\" ></td>\n",
" <td>No goods vehicles over maximum gross weight shown (in tonnes) except for loading and unloading</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/ahead-only.png\" width=\"60\" ></td>\n",
" <td>Ahead only</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/turn-left-ahead-right-if-s.gif\" width=\"60\" ></td>\n",
" <td>Turn left ahead (right if symbol reversed)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/turn-left-right-if-symbol.gif\" width=\"60\" ></td>\n",
" <td>Turn left (right if symbol reversed)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/keep-left-right-if-symbol.png\" width=\"60\" ></td>\n",
" <td>Keep left (right if symbol reversed)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/vehicles-may-pass-either-si.png\" width=\"60\" ></td>\n",
" <td>Vehicles may pass either side to reach same destination</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/mini-roundabout-roundabout.png\" width=\"60\" ></td>\n",
" <td>Mini-roundabout (roundabout circulation - give way to vehicles from the immediate right)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/route-to-be-used-by-pedal-c.png\" width=\"60\" ></td>\n",
" <td>Route to be used by pedal cycles only</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/segregated-pedal-cycle-and-.png\" width=\"60\" ></td>\n",
" <td>Segregated pedal cycle and pedestrian route</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/minimum-speed.png\" width=\"60\" ></td>\n",
" <td>Minimum speed</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/end-of-minimum-speed.png\" width=\"60\" ></td>\n",
" <td>End of minimum speed</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/distance-to-stop-line-ahead.png\" width=\"60\" ></td>\n",
" <td>Distance to 'STOP' line ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/dual-carriage-way-ends.png\" width=\"60\" ></td>\n",
" <td>Dual carriage-way ends</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/road-narrows-on-right-left.png\" width=\"60\" ></td>\n",
" <td>Road narrows on right (left if symbol reversed)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/road-narrows-on-both-sides.png\" width=\"60\" ></td>\n",
" <td>Road narrows on both sides</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/distance-to-give-way-line-a.png\" width=\"60\" ></td>\n",
" <td>Distance to 'Give Way' line ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/crossroads.png\" width=\"60\" ></td>\n",
" <td>Crossroads</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/junction-on-bend-ahead.png\" width=\"60\" ></td>\n",
" <td>Junction on bend ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/t-junction.png\" width=\"60\" ></td>\n",
" <td>T-junction with priority over vehicles from the right</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/staggered-junction.png\" width=\"60\" ></td>\n",
" <td>Staggered junction</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/492a.jpg\" width=\"60\" ></td>\n",
" <td>Traffic merging from left ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/double-bend-first-to-left.png\" width=\"60\" ></td>\n",
" <td>Double bend first to left (symbol may be reversed)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/bend-to-right-or-left-if-s.gif\" width=\"60\" ></td>\n",
" <td>Bend to right (or left if symbol reversed)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/roundabout.png\" width=\"60\" ></td>\n",
" <td>Roundabout</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/uneven-road.png\" width=\"60\" ></td>\n",
" <td>Uneven road</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/reduce-speed-now.png\" width=\"60\" ></td>\n",
" <td>Plate below some signs</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/two-way-traffic-crosses-one.png\" width=\"60\" ></td>\n",
" <td>Two-way traffic crosses one-way road</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/two-way-traffic-straight-ah.png\" width=\"60\" ></td>\n",
" <td>Two-way traffic straight ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/opening-or-swing-bridge-ahe.png\" width=\"60\" ></td>\n",
" <td>Opening or swing bridge ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/low-flying-aircraft-or-sudd.gif\" width=\"60\" ></td>\n",
" <td>Low-flying aircraft or sudden aircraft noise</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/falling-or-fallen-rocks.png\" width=\"60\" ></td>\n",
" <td>Falling or fallen rocks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/traffic-signals-not-in-use.png\" width=\"60\" ></td>\n",
" <td>Traffic signals not in use</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/traffic-signals.png\" width=\"60\" ></td>\n",
" <td>Traffic signals</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/slippery-road.png\" width=\"60\" ></td>\n",
" <td>Slippery road</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/steep-hill.png\" width=\"60\" ></td>\n",
" <td>Steep hill downwards</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/steep-hill-up.png\" width=\"60\" ></td>\n",
" <td>Steep hill upwards</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/tunnel-ahead.png\" width=\"60\" ></td>\n",
" <td>Tunnel ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/trams-crossing-ahead.png\" width=\"60\" ></td>\n",
" <td>Trams crossing ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>62</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/level-crossing-with-barrier.png\" width=\"60\" ></td>\n",
" <td>Level crossing with barrier or gate ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>63</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/level-crossing-without-barr.png\" width=\"60\" ></td>\n",
" <td>Level crossing without barrier or gate ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/level-crossing-without-barx.gif\" width=\"60\" ></td>\n",
" <td>Level crossing without barrier</td>\n",
" </tr>\n",
" <tr>\n",
" <th>65</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/school-crossing-patrol-ahea.png\" width=\"60\" ></td>\n",
" <td>School crossing patrol ahead (some signs have amber lights which flash when children are crossing)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/frail-blind-or-disabled.gif\" width=\"60\" ></td>\n",
" <td>Frail (or blind or disabled if shown) pedestrians likely to cross road ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>67</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/pedestrians-in-road-ahead.png\" width=\"60\" ></td>\n",
" <td>Pedestrians in road ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>68</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/pedestrian-crossing.png\" width=\"60\" ></td>\n",
" <td>Zebra crossing</td>\n",
" </tr>\n",
" <tr>\n",
" <th>69</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/oecable.png\" width=\"60\" ></td>\n",
" <td>Overhead electric cable; plate indicates maximum height of vehicles which can pass safely</td>\n",
" </tr>\n",
" <tr>\n",
" <th>70</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/cattle.gif\" width=\"60\" ></td>\n",
" <td>Cattle</td>\n",
" </tr>\n",
" <tr>\n",
" <th>71</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/wild-animals.gif\" width=\"60\" ></td>\n",
" <td>Wild animals</td>\n",
" </tr>\n",
" <tr>\n",
" <th>72</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/wild-horses-or-ponies.gif\" width=\"60\" ></td>\n",
" <td>Wild horses or ponies</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/accompanied-horses-or-ponie.png\" width=\"60\" ></td>\n",
" <td>Accompanied horses or ponies</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/cycle-route-ahead.png\" width=\"60\" ></td>\n",
" <td>Cycle route ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/risk-of-ice.png\" width=\"60\" ></td>\n",
" <td>Risk of ice</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/traffic-queues-likely-ahead.png\" width=\"60\" ></td>\n",
" <td>Traffic queues likely ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>77</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/distance-over-which-road-hu.png\" width=\"60\" ></td>\n",
" <td>Distance over which road humps extend</td>\n",
" </tr>\n",
" <tr>\n",
" <th>78</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/odplate.png\" width=\"60\" ></td>\n",
" <td>Other danger; plate indicates nature of danger</td>\n",
" </tr>\n",
" <tr>\n",
" <th>79</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/soft-verges.png\" width=\"60\" ></td>\n",
" <td>Soft verges</td>\n",
" </tr>\n",
" <tr>\n",
" <th>80</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/side-winds.png\" width=\"60\" ></td>\n",
" <td>Side winds</td>\n",
" </tr>\n",
" <tr>\n",
" <th>81</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/hump-bridge.png\" width=\"60\" ></td>\n",
" <td>Hump bridge</td>\n",
" </tr>\n",
" <tr>\n",
" <th>82</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/worded-warning-sign.png\" width=\"60\" ></td>\n",
" <td>Worded warning sign</td>\n",
" </tr>\n",
" <tr>\n",
" <th>83</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/quayside-or-river-bank.png\" width=\"60\" ></td>\n",
" <td>Quayside or river bank</td>\n",
" </tr>\n",
" <tr>\n",
" <th>84</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/risk-of-grounding.png\" width=\"60\" ></td>\n",
" <td>Risk of grounding</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#I wanted the html to show up as images instead of links\n",
"def path_to_image_html(path):\n",
" return '<img src=\"'+ path + '\" width=\"60\" >'\n",
"\n",
"pd.set_option('display.max_colwidth', -1)\n",
"ukts=HTML(uktrafficsigns.to_html(escape=False ,formatters=dict(Sign=path_to_image_html)))\n",
"HTML(uktrafficsigns.to_html(escape=False ,formatters=dict(Sign=path_to_image_html)))"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Sign</th>\n",
" <th>Sign Description</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>41</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/junction-on-bend-ahead.png\" width=\"60\" ></td>\n",
" <td>Junction on bend ahead</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/t-junction.png\" width=\"60\" ></td>\n",
" <td>T-junction with priority over vehicles from the right</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/staggered-junction.png\" width=\"60\" ></td>\n",
" <td>Staggered junction</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'''\n",
"Here I am creating a df that will allow me to pull all junction signs.\n",
"\"ction\" was used instead of \"junction\" in order to pull all variables.\n",
"'''\n",
"junction =uktrafficsigns[uktrafficsigns['Sign Description'].str.contains(\"nction\", regex=False)]\n",
"\n",
"#Making it its own HTML object (same as above)\n",
"\n",
"def path_to_image_html(path):\n",
" return '<img src=\"'+ path + '\" width=\"60\" >'\n",
"\n",
"pd.set_option('display.max_colwidth', -1)\n",
"\n",
"HTML(junction.to_html(escape=False ,formatters=dict(Sign=path_to_image_html)))\n"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Sign</th>\n",
" <th>Sign Description</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/stop-and-give-way.png\" width=\"60\" ></td>\n",
" <td>Stop and give way</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/give-way-to-traffic-on-majo.png\" width=\"60\" ></td>\n",
" <td>Give way to traffic on major road</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/give-priority-to-vehicles-f.png\" width=\"60\" ></td>\n",
" <td>Give priority to vehicles from opposite direction</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/mini-roundabout-roundabout.png\" width=\"60\" ></td>\n",
" <td>Mini-roundabout (roundabout circulation - give way to vehicles from the immediate right)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/distance-to-give-way-line-a.png\" width=\"60\" ></td>\n",
" <td>Distance to 'Give Way' line ahead</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#Repeated the above steps for giveways\n",
"give=uktrafficsigns[uktrafficsigns['Sign Description'].str.contains(\"ive \", regex=False)]\n",
"def path_to_image_html(path):\n",
" return '<img src=\"'+ path + '\" width=\"60\" >'\n",
"\n",
"pd.set_option('display.max_colwidth', -1)\n",
"\n",
"HTML(give.to_html(escape=False ,formatters=dict(Sign=path_to_image_html)))"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Sign</th>\n",
" <th>Sign Description</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>30</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/mini-roundabout-roundabout.png\" width=\"60\" ></td>\n",
" <td>Mini-roundabout (roundabout circulation - give way to vehicles from the immediate right)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td><img src=\"https://www.learnerdriving.com//images/highway-code/roundabout.png\" width=\"60\" ></td>\n",
" <td>Roundabout</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#roundabouts\n",
"roundabout=uktrafficsigns[uktrafficsigns['Sign Description'].str.contains(\"ounda\", regex=False)]\n",
"\n",
"def path_to_image_html(path):\n",
" return '<img src=\"'+ path + '\" width=\"60\" >'\n",
"\n",
"pd.set_option('display.max_colwidth', -1)\n",
"\n",
"HTML(roundabout.to_html(escape=False ,formatters=dict(Sign=path_to_image_html)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Mapping of Problem Areas\n",
"Below we used Tableau to map what could be deemed problem areas for the UK. These are accidents in areas with high deprivation (driver_imd_decile @ more deprived 40-50%) and no signange at T or staggered junctions.<br>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<div class='tableauPlaceholder' id='viz1572177057382' style='position: relative'><noscript><a href='https://github.com/GenTaylor/Traffic-Accident-Analysis'><img alt=' ' src='https://public.tableau.com/static/images/Ac/AccidentForecasting/SeriousAccidentsinAreaswithHighDeprivationandNoSignage/1_rss.png' style='border: none' /></a></noscript><object class='tableauViz' style='display:none;'><param name='host_url' value='https%3A%2F%2Fpublic.tableau.com%2F' /> <param name='embed_code_version' value='3' /> <param name='site_root' value='' /><param name='name' value='AccidentForecasting/SeriousAccidentsinAreaswithHighDeprivationandNoSignage' /><param name='tabs' value='no' /><param name='toolbar' value='yes' /><param name='static_image' value='https://public.tableau.com/static/images/Ac/AccidentForecasting/SeriousAccidentsinAreaswithHighDeprivationandNoSignage/1.png' /> <param name='animate_transition' value='yes' /><param name='display_static_image' value='yes' /><param name='display_spinner' value='yes' /><param name='display_overlay' value='yes' /><param name='display_count' value='yes' /></object></div> <script type='text/javascript'> var divElement = document.getElementById('viz1572177057382'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement); </script>\n"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%HTML\n",
"\n",
"<div class='tableauPlaceholder' id='viz1572177057382' style='position: relative'><noscript><a href='https://github.com/GenTaylor/Traffic-Accident-Analysis'><img alt=' ' src='https://public.tableau.com/static/images/Ac/AccidentForecasting/SeriousAccidentsinAreaswithHighDeprivationandNoSignage/1_rss.png' style='border: none' /></a></noscript><object class='tableauViz' style='display:none;'><param name='host_url' value='https%3A%2F%2Fpublic.tableau.com%2F' /> <param name='embed_code_version' value='3' /> <param name='site_root' value='' /><param name='name' value='AccidentForecasting/SeriousAccidentsinAreaswithHighDeprivationandNoSignage' /><param name='tabs' value='no' /><param name='toolbar' value='yes' /><param name='static_image' value='https://public.tableau.com/static/images/Ac/AccidentForecasting/SeriousAccidentsinAreaswithHighDeprivationandNoSignage/1.png' /> <param name='animate_transition' value='yes' /><param name='display_static_image' value='yes' /><param name='display_spinner' value='yes' /><param name='display_overlay' value='yes' /><param name='display_count' value='yes' /></object></div> <script type='text/javascript'> var divElement = document.getElementById('viz1572177057382'); var vizElement = divElement.getElementsByTagName('object')[0]; vizElement.style.width='100%';vizElement.style.height=(divElement.offsetWidth*0.75)+'px'; var scriptElement = document.createElement('script'); scriptElement.src = 'https://public.tableau.com/javascripts/api/viz_v1.js'; vizElement.parentNode.insertBefore(scriptElement, vizElement); </script>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Below is a screenshot of the above mapping. I put this here just in case there is trouble viewing it. If you would like to view the actual worksheet for it, please click [here](https://public.tableau.com/profile/genesis.taylor#!/vizhome/AccidentForecasting/SeriousAccidentsinAreaswithHighDeprivationandNoSignage).\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Machine Learning"
]
},
{
"cell_type": "code",
"execution_count": 3,
"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>1st_road_class</th>\n",
" <th>1st_road_number</th>\n",
" <th>2nd_road_number</th>\n",
" <th>accident_severity</th>\n",
" <th>carriageway_hazards</th>\n",
" <th>date</th>\n",
" <th>day_of_week</th>\n",
" <th>did_police_officer_attend_scene_of_accident</th>\n",
" <th>junction_control</th>\n",
" <th>junction_detail</th>\n",
" <th>...</th>\n",
" <th>vehicle_type</th>\n",
" <th>was_vehicle_left_hand_drive</th>\n",
" <th>x1st_point_of_impact</th>\n",
" <th>month</th>\n",
" <th>weekend</th>\n",
" <th>hour</th>\n",
" <th>time_of_day</th>\n",
" <th>season</th>\n",
" <th>engine_capacity_cc_size</th>\n",
" <th>accident_seriousness</th>\n",
" </tr>\n",
" <tr>\n",
" <th>accident_index</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>201001BS70003</th>\n",
" <td>B</td>\n",
" <td>302</td>\n",
" <td>0</td>\n",
" <td>Slight</td>\n",
" <td>None</td>\n",
" <td>2010-01-11</td>\n",
" <td>Monday</td>\n",
" <td>1</td>\n",
" <td>Give way or uncontrolled</td>\n",
" <td>T or staggered junction</td>\n",
" <td>...</td>\n",
" <td>Goods Vehicle</td>\n",
" <td>No</td>\n",
" <td>Front</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" <td>1</td>\n",
" <td>winter</td>\n",
" <td>small engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>201001BS70004</th>\n",
" <td>A</td>\n",
" <td>402</td>\n",
" <td>4204</td>\n",
" <td>Slight</td>\n",
" <td>None</td>\n",
" <td>2010-01-11</td>\n",
" <td>Monday</td>\n",
" <td>1</td>\n",
" <td>Auto traffic signal</td>\n",
" <td>T or staggered junction</td>\n",
" <td>...</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Front</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>18</td>\n",
" <td>6</td>\n",
" <td>winter</td>\n",
" <td>medium engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>201001BS70007</th>\n",
" <td>Unclassified</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Slight</td>\n",
" <td>None</td>\n",
" <td>2010-01-02</td>\n",
" <td>Saturday</td>\n",
" <td>1</td>\n",
" <td>Give way or uncontrolled</td>\n",
" <td>Mini-roundabout</td>\n",
" <td>...</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Nearside</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>21</td>\n",
" <td>6</td>\n",
" <td>winter</td>\n",
" <td>medium engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>201001BS70007</th>\n",
" <td>Unclassified</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>Slight</td>\n",
" <td>None</td>\n",
" <td>2010-01-02</td>\n",
" <td>Saturday</td>\n",
" <td>1</td>\n",
" <td>Give way or uncontrolled</td>\n",
" <td>Mini-roundabout</td>\n",
" <td>...</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Front</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>21</td>\n",
" <td>6</td>\n",
" <td>winter</td>\n",
" <td>small engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>201001BS70008</th>\n",
" <td>A</td>\n",
" <td>3217</td>\n",
" <td>3220</td>\n",
" <td>Slight</td>\n",
" <td>None</td>\n",
" <td>2010-01-04</td>\n",
" <td>Monday</td>\n",
" <td>1</td>\n",
" <td>Auto traffic signal</td>\n",
" <td>Crossroads</td>\n",
" <td>...</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Nearside</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>6</td>\n",
" <td>winter</td>\n",
" <td>medium engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 59 columns</p>\n",
"</div>"
],
"text/plain": [
" 1st_road_class 1st_road_number 2nd_road_number \\\n",
"accident_index \n",
"201001BS70003 B 302 0 \n",
"201001BS70004 A 402 4204 \n",
"201001BS70007 Unclassified 0 0 \n",
"201001BS70007 Unclassified 0 0 \n",
"201001BS70008 A 3217 3220 \n",
"\n",
" accident_severity carriageway_hazards date day_of_week \\\n",
"accident_index \n",
"201001BS70003 Slight None 2010-01-11 Monday \n",
"201001BS70004 Slight None 2010-01-11 Monday \n",
"201001BS70007 Slight None 2010-01-02 Saturday \n",
"201001BS70007 Slight None 2010-01-02 Saturday \n",
"201001BS70008 Slight None 2010-01-04 Monday \n",
"\n",
" did_police_officer_attend_scene_of_accident \\\n",
"accident_index \n",
"201001BS70003 1 \n",
"201001BS70004 1 \n",
"201001BS70007 1 \n",
"201001BS70007 1 \n",
"201001BS70008 1 \n",
"\n",
" junction_control junction_detail ... \\\n",
"accident_index ... \n",
"201001BS70003 Give way or uncontrolled T or staggered junction ... \n",
"201001BS70004 Auto traffic signal T or staggered junction ... \n",
"201001BS70007 Give way or uncontrolled Mini-roundabout ... \n",
"201001BS70007 Give way or uncontrolled Mini-roundabout ... \n",
"201001BS70008 Auto traffic signal Crossroads ... \n",
"\n",
" vehicle_type was_vehicle_left_hand_drive \\\n",
"accident_index \n",
"201001BS70003 Goods Vehicle No \n",
"201001BS70004 Car No \n",
"201001BS70007 Car No \n",
"201001BS70007 Car No \n",
"201001BS70008 Car No \n",
"\n",
" x1st_point_of_impact month weekend hour time_of_day season \\\n",
"accident_index \n",
"201001BS70003 Front 1 0 7 1 winter \n",
"201001BS70004 Front 1 0 18 6 winter \n",
"201001BS70007 Nearside 1 1 21 6 winter \n",
"201001BS70007 Front 1 1 21 6 winter \n",
"201001BS70008 Nearside 1 0 20 6 winter \n",
"\n",
" engine_capacity_cc_size accident_seriousness \n",
"accident_index \n",
"201001BS70003 small engine cc Not Serious \n",
"201001BS70004 medium engine cc Not Serious \n",
"201001BS70007 medium engine cc Not Serious \n",
"201001BS70007 small engine cc Not Serious \n",
"201001BS70008 medium engine cc Not Serious \n",
"\n",
"[5 rows x 59 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#made separate dataframe w. set index that wouldnt effect data vis above\n",
"df1=df\n",
"#set index to accident_index\n",
"df1.set_index('accident_index', inplace=True)\n",
"df1.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"df1 = df1.drop(['accident_severity'],axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"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>1st_road_class</th>\n",
" <th>1st_road_number</th>\n",
" <th>2nd_road_number</th>\n",
" <th>carriageway_hazards</th>\n",
" <th>date</th>\n",
" <th>day_of_week</th>\n",
" <th>did_police_officer_attend_scene_of_accident</th>\n",
" <th>junction_control</th>\n",
" <th>junction_detail</th>\n",
" <th>latitude</th>\n",
" <th>...</th>\n",
" <th>vehicle_type</th>\n",
" <th>was_vehicle_left_hand_drive</th>\n",
" <th>x1st_point_of_impact</th>\n",
" <th>month</th>\n",
" <th>weekend</th>\n",
" <th>hour</th>\n",
" <th>time_of_day</th>\n",
" <th>season</th>\n",
" <th>engine_capacity_cc_size</th>\n",
" <th>accident_seriousness</th>\n",
" </tr>\n",
" <tr>\n",
" <th>accident_index</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>201001BS70003</th>\n",
" <td>B</td>\n",
" <td>302</td>\n",
" <td>0</td>\n",
" <td>None</td>\n",
" <td>2010-01-11</td>\n",
" <td>Monday</td>\n",
" <td>1</td>\n",
" <td>Give way or uncontrolled</td>\n",
" <td>T or staggered junction</td>\n",
" <td>51.484087</td>\n",
" <td>...</td>\n",
" <td>Goods Vehicle</td>\n",
" <td>No</td>\n",
" <td>Front</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>7</td>\n",
" <td>1</td>\n",
" <td>winter</td>\n",
" <td>small engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>201001BS70004</th>\n",
" <td>A</td>\n",
" <td>402</td>\n",
" <td>4204</td>\n",
" <td>None</td>\n",
" <td>2010-01-11</td>\n",
" <td>Monday</td>\n",
" <td>1</td>\n",
" <td>Auto traffic signal</td>\n",
" <td>T or staggered junction</td>\n",
" <td>51.509212</td>\n",
" <td>...</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Front</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>18</td>\n",
" <td>6</td>\n",
" <td>winter</td>\n",
" <td>medium engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>201001BS70007</th>\n",
" <td>Unclassified</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>None</td>\n",
" <td>2010-01-02</td>\n",
" <td>Saturday</td>\n",
" <td>1</td>\n",
" <td>Give way or uncontrolled</td>\n",
" <td>Mini-roundabout</td>\n",
" <td>51.513314</td>\n",
" <td>...</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Nearside</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>21</td>\n",
" <td>6</td>\n",
" <td>winter</td>\n",
" <td>medium engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>201001BS70007</th>\n",
" <td>Unclassified</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>None</td>\n",
" <td>2010-01-02</td>\n",
" <td>Saturday</td>\n",
" <td>1</td>\n",
" <td>Give way or uncontrolled</td>\n",
" <td>Mini-roundabout</td>\n",
" <td>51.513314</td>\n",
" <td>...</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Front</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>21</td>\n",
" <td>6</td>\n",
" <td>winter</td>\n",
" <td>small engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" <tr>\n",
" <th>201001BS70008</th>\n",
" <td>A</td>\n",
" <td>3217</td>\n",
" <td>3220</td>\n",
" <td>None</td>\n",
" <td>2010-01-04</td>\n",
" <td>Monday</td>\n",
" <td>1</td>\n",
" <td>Auto traffic signal</td>\n",
" <td>Crossroads</td>\n",
" <td>51.484361</td>\n",
" <td>...</td>\n",
" <td>Car</td>\n",
" <td>No</td>\n",
" <td>Nearside</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>6</td>\n",
" <td>winter</td>\n",
" <td>medium engine cc</td>\n",
" <td>Not Serious</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 58 columns</p>\n",
"</div>"
],
"text/plain": [
" 1st_road_class 1st_road_number 2nd_road_number \\\n",
"accident_index \n",
"201001BS70003 B 302 0 \n",
"201001BS70004 A 402 4204 \n",
"201001BS70007 Unclassified 0 0 \n",
"201001BS70007 Unclassified 0 0 \n",
"201001BS70008 A 3217 3220 \n",
"\n",
" carriageway_hazards date day_of_week \\\n",
"accident_index \n",
"201001BS70003 None 2010-01-11 Monday \n",
"201001BS70004 None 2010-01-11 Monday \n",
"201001BS70007 None 2010-01-02 Saturday \n",
"201001BS70007 None 2010-01-02 Saturday \n",
"201001BS70008 None 2010-01-04 Monday \n",
"\n",
" did_police_officer_attend_scene_of_accident \\\n",
"accident_index \n",
"201001BS70003 1 \n",
"201001BS70004 1 \n",
"201001BS70007 1 \n",
"201001BS70007 1 \n",
"201001BS70008 1 \n",
"\n",
" junction_control junction_detail latitude \\\n",
"accident_index \n",
"201001BS70003 Give way or uncontrolled T or staggered junction 51.484087 \n",
"201001BS70004 Auto traffic signal T or staggered junction 51.509212 \n",
"201001BS70007 Give way or uncontrolled Mini-roundabout 51.513314 \n",
"201001BS70007 Give way or uncontrolled Mini-roundabout 51.513314 \n",
"201001BS70008 Auto traffic signal Crossroads 51.484361 \n",
"\n",
" ... vehicle_type was_vehicle_left_hand_drive \\\n",
"accident_index ... \n",
"201001BS70003 ... Goods Vehicle No \n",
"201001BS70004 ... Car No \n",
"201001BS70007 ... Car No \n",
"201001BS70007 ... Car No \n",
"201001BS70008 ... Car No \n",
"\n",
" x1st_point_of_impact month weekend hour time_of_day season \\\n",
"accident_index \n",
"201001BS70003 Front 1 0 7 1 winter \n",
"201001BS70004 Front 1 0 18 6 winter \n",
"201001BS70007 Nearside 1 1 21 6 winter \n",
"201001BS70007 Front 1 1 21 6 winter \n",
"201001BS70008 Nearside 1 0 20 6 winter \n",
"\n",
" engine_capacity_cc_size accident_seriousness \n",
"accident_index \n",
"201001BS70003 small engine cc Not Serious \n",
"201001BS70004 medium engine cc Not Serious \n",
"201001BS70007 medium engine cc Not Serious \n",
"201001BS70007 small engine cc Not Serious \n",
"201001BS70008 medium engine cc Not Serious \n",
"\n",
"[5 rows x 58 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df1.head()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['1st_road_class', '1st_road_number', '2nd_road_number',\n",
" 'carriageway_hazards', 'date', 'day_of_week',\n",
" 'did_police_officer_attend_scene_of_accident', 'junction_control',\n",
" 'junction_detail', 'latitude', 'light_conditions',\n",
" 'local_authority_district', 'local_authority_highway', 'longitude',\n",
" 'lsoa_of_accident_location', 'number_of_casualties',\n",
" 'number_of_vehicles', 'pedestrian_crossing-human_control',\n",
" 'pedestrian_crossing-physical_facilities', 'police_force',\n",
" 'road_surface_conditions', 'road_type', 'special_conditions_at_site',\n",
" 'speed_limit', 'time', 'urban_or_rural_area', 'weather_conditions',\n",
" 'year', 'inscotland', 'age_band_of_driver', 'age_of_vehicle',\n",
" 'driver_home_area_type', 'driver_imd_decile', 'engine_capacity_cc',\n",
" 'hit_object_in_carriageway', 'hit_object_off_carriageway',\n",
" 'journey_purpose_of_driver', 'junction_location', 'make', 'model',\n",
" 'propulsion_code', 'sex_of_driver', 'skidding_and_overturning',\n",
" 'towing_and_articulation', 'vehicle_leaving_carriageway',\n",
" 'vehicle_locationrestricted_lane', 'vehicle_manoeuvre',\n",
" 'vehicle_reference', 'vehicle_type', 'was_vehicle_left_hand_drive',\n",
" 'x1st_point_of_impact', 'month', 'weekend', 'hour', 'time_of_day',\n",
" 'season', 'engine_capacity_cc_size', 'accident_seriousness'],\n",
" dtype='object')\n"
]
}
],
"source": [
"print(df1.columns)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Preprocessing"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Objects Index(['1st_road_class', '1st_road_number', '2nd_road_number',\n",
" 'carriageway_hazards', 'date', 'day_of_week',\n",
" 'did_police_officer_attend_scene_of_accident', 'junction_control',\n",
" 'junction_detail', 'light_conditions', 'local_authority_district',\n",
" 'local_authority_highway', 'lsoa_of_accident_location',\n",
" 'number_of_casualties', 'number_of_vehicles',\n",
" 'pedestrian_crossing-human_control',\n",
" 'pedestrian_crossing-physical_facilities', 'police_force',\n",
" 'road_surface_conditions', 'road_type', 'special_conditions_at_site',\n",
" 'time', 'urban_or_rural_area', 'weather_conditions', 'inscotland',\n",
" 'age_band_of_driver', 'age_of_vehicle', 'driver_home_area_type',\n",
" 'hit_object_in_carriageway', 'hit_object_off_carriageway',\n",
" 'journey_purpose_of_driver', 'junction_location', 'make', 'model',\n",
" 'propulsion_code', 'sex_of_driver', 'skidding_and_overturning',\n",
" 'towing_and_articulation', 'vehicle_leaving_carriageway',\n",
" 'vehicle_locationrestricted_lane', 'vehicle_manoeuvre',\n",
" 'vehicle_reference', 'vehicle_type', 'was_vehicle_left_hand_drive',\n",
" 'x1st_point_of_impact', 'weekend', 'hour', 'time_of_day', 'season',\n",
" 'engine_capacity_cc_size', 'accident_seriousness'],\n",
" dtype='object')\n",
"\n",
"NonObjects Index(['latitude', 'longitude', 'speed_limit', 'year', 'driver_imd_decile',\n",
" 'engine_capacity_cc', 'month'],\n",
" dtype='object')\n",
"(561135, 58)\n",
"(561135, 51)\n",
"(561135, 7)\n"
]
}
],
"source": [
"#separate dtypes\n",
"notif=df1.select_dtypes(exclude=['int','float','int64'])\n",
"intfldtypes = df1.select_dtypes(include=['int','float','int64'])\n",
"print('Objects',notif.columns)\n",
"print(\"\\nNonObjects\",intfldtypes.columns)\n",
"\n",
"#checking to make sure all are accounted for\n",
"print(df1.shape)\n",
"print(notif.shape)\n",
"print(intfldtypes.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Label Encoder was used instead of OneHotEncoder due to the memory errors One Hot Encoder caused in the data. The algorithms used will be classifiers, through boosting and trees, and not linear. "
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(561135, 58)\n"
]
}
],
"source": [
"#label encode objects\n",
"obj_le= notif.apply(LabelEncoder().fit_transform)\n",
"#re-add with non-objects\n",
"df_ml= pd.concat([obj_le,intfldtypes], axis=1, sort=False)\n",
"#check shape\n",
"print(df_ml.shape)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"#Set up of X and Y\n",
"X= df_ml.drop(['accident_seriousness'],axis=1)\n",
"y= df_ml['accident_seriousness']"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 492804\n",
"1 68331\n",
"Name: accident_seriousness, dtype: int64"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_ml.accident_seriousness.value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1st_road_class object\n",
"1st_road_number object\n",
"2nd_road_number object\n",
"accident_severity object\n",
"carriageway_hazards object\n",
"date datetime64[ns]\n",
"day_of_week object\n",
"did_police_officer_attend_scene_of_accident object\n",
"junction_control object\n",
"junction_detail object\n",
"latitude float64\n",
"light_conditions object\n",
"local_authority_district object\n",
"local_authority_highway object\n",
"longitude float64\n",
"lsoa_of_accident_location object\n",
"number_of_casualties object\n",
"number_of_vehicles object\n",
"pedestrian_crossing-human_control object\n",
"pedestrian_crossing-physical_facilities object\n",
"police_force object\n",
"road_surface_conditions object\n",
"road_type object\n",
"special_conditions_at_site object\n",
"speed_limit float64\n",
"time object\n",
"urban_or_rural_area object\n",
"weather_conditions object\n",
"year int64\n",
"inscotland object\n",
"age_band_of_driver object\n",
"age_of_vehicle category\n",
"driver_home_area_type object\n",
"driver_imd_decile float64\n",
"engine_capacity_cc float64\n",
"hit_object_in_carriageway object\n",
"hit_object_off_carriageway object\n",
"journey_purpose_of_driver object\n",
"junction_location object\n",
"make object\n",
"model object\n",
"propulsion_code object\n",
"sex_of_driver object\n",
"skidding_and_overturning object\n",
"towing_and_articulation object\n",
"vehicle_leaving_carriageway object\n",
"vehicle_locationrestricted_lane object\n",
"vehicle_manoeuvre object\n",
"vehicle_reference object\n",
"vehicle_type object\n",
"was_vehicle_left_hand_drive object\n",
"x1st_point_of_impact object\n",
"month int64\n",
"weekend int32\n",
"hour int32\n",
"time_of_day object\n",
"season object\n",
"engine_capacity_cc_size object\n",
"accident_seriousness object\n",
"dtype: object"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.dtypes"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
},
"metadata": {
"needs_background": "dark"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(12,6))\n",
"ax=sns.countplot(x=\"accident_seriousness\", palette=\"magma\", data=df)\n",
"\n",
"plt.style.use('dark_background')\n",
"plt.title(\"Accident Seriousness\",fontsize=25,fontweight=\"bold\")\n",
"plt.xlabel(\"\", fontsize=15, fontweight=\"bold\")\n",
"plt.ylabel(\"\\nNumber of Accidents\\n\", fontsize=15, fontweight=\"bold\")\n",
"plt.xticks(fontsize=18)\n",
"plt.yticks(fontsize=12)\n",
"sns.despine(top=True, right=True, left=True, bottom=False)\n",
"plt.savefig('accident_seriousness.png')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Imbalanced Data\n",
"The data in this dataset is extremely imbalanced for what we are trying to predict. We are going to resample the data as undersampling, where we reduce the number of majority (Not Serious Accidents) samples.<br><br> \n",
"***\n",
"The machine learning classifier algorithms that we are going to use are as follows:\n",
"* Bagging Classifier (sklearn)\n",
"* AdaBoost Classifier (sklearn)\n",
"* Random Forest Classifier (sklearn)\n",
"* Gradient Boosting Classifier (sklearn)*\n",
"* LightGBM Classifier (LightGBM)\n",
"* XGBoost Classifier (xgboost)\n",
"* Balanced Bagging Classifier(imblearn)\n",
"* Balanced Random Forest Classifier (imblearn) \n",
"* Easy Ensemble Classifier (imblearn)<br><br>\n",
"***\n",
"*Gradient Boosting was commented out because of the time it took to run (18hrs) and not having relevant enough results to still consider."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Resample: Undersampling"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# setting up testing and training sets\n",
"res_X_train, res_X_test, res_y_train, res_y_test = train_test_split(X, y, \n",
" test_size=0.25, random_state=27)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"# concatenate our training data back together\n",
"res_X = pd.concat([res_X_train, res_y_train], axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"# separate minority and majority classes\n",
"not_severe = res_X[res_X.accident_seriousness==0]\n",
"severe = res_X[res_X.accident_seriousness==1]"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"# decrease majority\n",
"not_severe_decreased = resample(not_severe,\n",
" replace=True, # sample with replacement\n",
" n_samples=len(severe), # match number in majority class\n",
" random_state=27) # reproducible results"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"# combine majority and severe_increased minority\n",
"newdf = pd.concat([severe, not_severe_decreased])"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1 51357\n",
"0 51357\n",
"Name: accident_seriousness, dtype: int64"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"newdf.accident_seriousness.value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"res_X_train = newdf.drop('accident_seriousness', axis=1)\n",
"res_y_train = newdf.accident_seriousness"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Unsupervised Learning\n",
"Before, we get in to predictions, we are going to complete some machine learning in ordered to see how the data relates to each other.\n",
"We are going to do this on the resampled data as well, in order to avoid bias. We will use two clusters which, in theory, represent the two variables for accident_seriousness, Not Serious & Serious"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([1, 0, 0, ..., 0, 1, 1], dtype=uint16)"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# \"clustering\" using kmode algorithm that is designed to handle mixed data\n",
"km_huang = KModes(n_clusters=2, init = \"Huang\", n_init = 1)\n",
"fitClusters_huang = km_huang.fit_predict(newdf)\n",
"fitClusters_huang"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"newdf1 = newdf.copy().reset_index()\n",
"clustersDf = pd.DataFrame(fitClusters_huang)\n",
"clustersDf.columns = ['cluster_predicted']\n",
"combinedDf = pd.concat([newdf1, clustersDf], axis = 1).reset_index()\n",
"combinedDf = combinedDf.drop(['index'], axis = 1)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>accident_index</th>\n",
" <th>1st_road_class</th>\n",
" <th>1st_road_number</th>\n",
" <th>2nd_road_number</th>\n",
" <th>carriageway_hazards</th>\n",
" <th>date</th>\n",
" <th>day_of_week</th>\n",
" <th>did_police_officer_attend_scene_of_accident</th>\n",
" <th>junction_control</th>\n",
" <th>junction_detail</th>\n",
" <th>...</th>\n",
" <th>engine_capacity_cc_size</th>\n",
" <th>latitude</th>\n",
" <th>longitude</th>\n",
" <th>speed_limit</th>\n",
" <th>year</th>\n",
" <th>driver_imd_decile</th>\n",
" <th>engine_capacity_cc</th>\n",
" <th>month</th>\n",
" <th>accident_seriousness</th>\n",
" <th>cluster_predicted</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
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" <td>51.556002</td>\n",
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" <td>30.0</td>\n",
" <td>2015</td>\n",
" <td>8.0</td>\n",
" <td>1299.0</td>\n",
" <td>11</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2010440174154</td>\n",
" <td>0</td>\n",
" <td>27</td>\n",
" <td>2391</td>\n",
" <td>1</td>\n",
" <td>119</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>6</td>\n",
" <td>...</td>\n",
" <td>1</td>\n",
" <td>50.895352</td>\n",
" <td>-1.319297</td>\n",
" <td>30.0</td>\n",
" <td>2010</td>\n",
" <td>5.0</td>\n",
" <td>1997.0</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>201506N097860</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1880</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>53.591164</td>\n",
" <td>-2.295013</td>\n",
" <td>30.0</td>\n",
" <td>2015</td>\n",
" <td>8.0</td>\n",
" <td>2143.0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2016460101917</td>\n",
" <td>0</td>\n",
" <td>252</td>\n",
" <td>251</td>\n",
" <td>1</td>\n",
" <td>2426</td>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>6</td>\n",
" <td>...</td>\n",
" <td>1</td>\n",
" <td>51.221226</td>\n",
" <td>0.878850</td>\n",
" <td>40.0</td>\n",
" <td>2016</td>\n",
" <td>8.0</td>\n",
" <td>1560.0</td>\n",
" <td>8</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>201342I085803</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1182</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>...</td>\n",
" <td>2</td>\n",
" <td>51.877039</td>\n",
" <td>0.674514</td>\n",
" <td>60.0</td>\n",
" <td>2013</td>\n",
" <td>9.0</td>\n",
" <td>1149.0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 60 columns</p>\n",
"</div>"
],
"text/plain": [
" accident_index 1st_road_class 1st_road_number 2nd_road_number \\\n",
"0 201554A415715 0 429 0 \n",
"1 2010440174154 0 27 2391 \n",
"2 201506N097860 5 0 0 \n",
"3 2016460101917 0 252 251 \n",
"4 201342I085803 0 120 0 \n",
"\n",
" carriageway_hazards date day_of_week \\\n",
"0 1 2148 4 \n",
"1 1 119 0 \n",
"2 1 1880 5 \n",
"3 1 2426 5 \n",
"4 1 1182 4 \n",
"\n",
" did_police_officer_attend_scene_of_accident junction_control \\\n",
"0 0 2 \n",
"1 0 2 \n",
"2 0 2 \n",
"3 0 2 \n",
"4 0 2 \n",
"\n",
" junction_detail ... engine_capacity_cc_size latitude longitude \\\n",
"0 8 ... 2 51.556002 -2.110741 \n",
"1 6 ... 1 50.895352 -1.319297 \n",
"2 8 ... 0 53.591164 -2.295013 \n",
"3 6 ... 1 51.221226 0.878850 \n",
"4 8 ... 2 51.877039 0.674514 \n",
"\n",
" speed_limit year driver_imd_decile engine_capacity_cc month \\\n",
"0 30.0 2015 8.0 1299.0 11 \n",
"1 30.0 2010 5.0 1997.0 4 \n",
"2 30.0 2015 8.0 2143.0 2 \n",
"3 40.0 2016 8.0 1560.0 8 \n",
"4 60.0 2013 9.0 1149.0 3 \n",
"\n",
" accident_seriousness cluster_predicted \n",
"0 1 1 \n",
"1 1 0 \n",
"2 1 0 \n",
"3 1 0 \n",
"4 1 0 \n",
"\n",
"[5 rows x 60 columns]"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"combinedDf.head()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 864x1728 with 18 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#plotting a few of these features just to see how they relate to the clustering for seriousness\n",
"f, axs = plt.subplots(nrows=6, ncols=3,figsize = (12,24))\n",
"plt.style.use('dark_background')\n",
"sns.countplot(x=combinedDf['did_police_officer_attend_scene_of_accident'],\n",
" order=combinedDf['did_police_officer_attend_scene_of_accident'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[0,0])\n",
"sns.countplot(x=combinedDf['x1st_point_of_impact'],\n",
" order=combinedDf['x1st_point_of_impact'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[0,1])\n",
"sns.countplot(x=combinedDf['number_of_vehicles'],\n",
" order=combinedDf['number_of_vehicles'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[0,2])\n",
"sns.countplot(x=combinedDf['speed_limit'],\n",
" order=combinedDf['speed_limit'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[1,0])\n",
"sns.countplot(x=combinedDf['urban_or_rural_area'],\n",
" order=combinedDf['urban_or_rural_area'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[1,1])\n",
"sns.countplot(x=combinedDf['skidding_and_overturning'],\n",
" order=combinedDf['skidding_and_overturning'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[1,2])\n",
"sns.countplot(x=combinedDf['vehicle_leaving_carriageway'],\n",
" order=combinedDf['vehicle_leaving_carriageway'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[2,0])\n",
"sns.countplot(x=combinedDf['sex_of_driver'],\n",
" order=combinedDf['sex_of_driver'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[2,1])\n",
"sns.countplot(x=combinedDf['vehicle_type'],\n",
" order=combinedDf['vehicle_type'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[2,2])\n",
"sns.countplot(x=combinedDf['junction_control'],\n",
" order=combinedDf['junction_control'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[3,0])\n",
"sns.countplot(x=combinedDf['number_of_casualties'],\n",
" order=combinedDf['number_of_casualties'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[3,1])\n",
"sns.countplot(x=combinedDf['age_band_of_driver'],\n",
" order=combinedDf['age_band_of_driver'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[3,2])\n",
"sns.countplot(x=combinedDf['junction_detail'],\n",
" order=combinedDf['junction_detail'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[4,0])\n",
"sns.countplot(x=combinedDf['junction_location'],\n",
" order=combinedDf['junction_location'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[4,1])\n",
"sns.countplot(x=combinedDf['driver_imd_decile'],\n",
" order=combinedDf['driver_imd_decile'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[4,2])\n",
"sns.countplot(x=combinedDf['junction_detail'],\n",
" order=combinedDf['junction_detail'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[5,0])\n",
"sns.countplot(x=combinedDf['junction_location'],\n",
" order=combinedDf['junction_location'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[5,1])\n",
"sns.countplot(x=combinedDf['driver_imd_decile'],\n",
" order=combinedDf['driver_imd_decile'].value_counts().index,\n",
" hue=combinedDf['cluster_predicted'], palette='PuBu', ax=axs[5,2])\n",
"plt.tight_layout()\n",
"plt.savefig('clusterplot.png')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Looking at these graphs we can see the patterns of how each category of eacch column pairs off with the clustering on accident_seriousness."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Supervised Learning with Resampling as Undersampling"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"#confusion matrix plot function\n",
"def cm_plot(var):\n",
" plt.figure(figsize=(15,5))\n",
" plt.style.use('dark_background')\n",
" plt.clf()\n",
" plt.imshow(var, interpolation='nearest', cmap='tab20')\n",
" classNames = ['Not Serious','Serious']\n",
" plt.title('Confusion Matrix')\n",
" plt.ylabel('Actual\\n')\n",
" plt.xlabel('Predicted\\n')\n",
" tick_marks = np.arange(len(classNames))\n",
" plt.xticks(tick_marks, classNames)\n",
" plt.yticks(tick_marks, classNames)\n",
" s = [['TN','FP'], ['FN', 'TP']]\n",
" \n",
" for i in range(2):\n",
" for j in range(2):\n",
" plt.text(j,i, str(s[i][j])+\"=\"+str(var[i][j]),horizontalalignment='center', \n",
" color='black')\n",
" plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Method 1\n",
"First, we are going to run some standard classifier algorithms using the resampling method from above, gather the results of some scoring metrics (Accuracy, Log Loss, Cross Validation, Recall, Roc Auc, F1, False Positive Rate, Error Rate), and put those scores into a dataframe"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\n",
"\n",
"BaggingClassifier Results:\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
"Accuracy: 66.9727%\n",
"Cross validation scores: 0.6871312576669197\n",
"Log Loss: 0.6157355650730744\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\n",
"\n",
"AdaBoostClassifier Results:\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
"Accuracy: 66.7446%\n",
"Cross validation scores: 0.6572911190295384\n",
"Log Loss: 0.6880453803827911\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\n",
"\n",
"RandomForestClassifier Results:\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
"Accuracy: 67.0882%\n",
"Cross validation scores: 0.6884942656307805\n",
"Log Loss: 0.6123101302134623\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\n",
"\n",
"LGBMClassifier Results:\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
"Accuracy: 67.8124%\n",
"Cross validation scores: 0.6796833927215374\n",
"Log Loss: 0.596513578691033\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\n",
"\n",
"XGBClassifier Results:\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
"Accuracy: 66.7995%\n",
"Cross validation scores: 0.6879295909028954\n",
"Log Loss: 0.6577360727445484\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"****************************************\n"
]
}
],
"source": [
"#Try modeling using different classification models\n",
"classifiers = [\n",
" BaggingClassifier(max_features=X.shape[1], n_estimators=500, random_state=42),\n",
" AdaBoostClassifier( n_estimators=500, learning_rate=0.05, random_state=42),\n",
" RandomForestClassifier(criterion='entropy', max_depth=40,max_features=X.shape[1], \n",
" min_samples_split=8, n_estimators=500, random_state=42),\n",
" LGBMClassifier(learning_rate =0.03, max_depth=40, min_data_in_leaf=10,\n",
" n_estimators=500, num_leaves=50, random_state = 42),\n",
" XGBClassifier(learning_rate=0.05, n_estimators=500, subsample= 1,random_state = 42,\n",
" gamma = 1, max_depth=40)]\n",
" \n",
" \n",
"\n",
"\n",
"#putting results in df\n",
"res_cols=[\"Classifier\", \"Accuracy\", \"Log Loss\", \"Cross Val\", \"Recall\", \"Roc Auc\",\"F1\", \n",
" \"False Positive Rate\", \"Error Rate\"]\n",
"results = pd.DataFrame(columns=res_cols)\n",
"\n",
"for clf in classifiers:\n",
" clf.fit(res_X_train, res_y_train)\n",
" name = clf.__class__.__name__\n",
" \n",
" print(\"\\n\"*3)\n",
" print(name,\"Results:\")\n",
" \n",
" print('~'*40)\n",
" y_pred = clf.predict(res_X_test)\n",
" acc = accuracy_score(res_y_test, y_pred)\n",
" print(\"Accuracy: {:.4%}\".format(acc))\n",
" \n",
" cv= np.mean(cross_val_score(clf, res_X_train, res_y_train, cv=3))\n",
" print(\"Cross validation scores:\",cv)\n",
" \n",
" \n",
" train_predictions = clf.predict_proba(res_X_test)\n",
" logloss = log_loss(res_y_test, train_predictions)\n",
" print(\"Log Loss: {}\".format(logloss))\n",
" \n",
" cm = confusion_matrix(res_y_test, y_pred)\n",
" \n",
" cm_plot(cm)\n",
" \n",
" #FPR and Error Rate setup\n",
" tn, fp, fn, tp = confusion_matrix(res_y_test,y_pred).ravel()\n",
" \n",
" fpr = fp/(tn+fp)\n",
" ers = 1-acc\n",
" rec= recall_score(res_y_test, y_pred)\n",
" roc=roc_auc_score(res_y_test, y_pred)\n",
" f1s=f1_score(res_y_test, y_pred)\n",
" results_final = pd.DataFrame([[name, round(acc*100,3), round(logloss,3), \n",
" round(cv*100,3), round(rec*100,3), round(roc*100,3),\n",
" round(f1s*100,3),round(fpr*100,3),round(ers*100,3)]],\n",
" columns=res_cols)\n",
" results = results.append(results_final)\n",
" \n",
"print(\"*\"*40)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Results Shape (5, 9)\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Classifier</th>\n",
" <th>Accuracy</th>\n",
" <th>Log Loss</th>\n",
" <th>Cross Val</th>\n",
" <th>Recall</th>\n",
" <th>Roc Auc</th>\n",
" <th>F1</th>\n",
" <th>False Positive Rate</th>\n",
" <th>Error Rate</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>BaggingClassifier</td>\n",
" <td>66.973</td>\n",
" <td>0.616</td>\n",
" <td>68.713</td>\n",
" <td>69.082</td>\n",
" <td>67.882</td>\n",
" <td>33.607</td>\n",
" <td>33.318</td>\n",
" <td>33.027</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>AdaBoostClassifier</td>\n",
" <td>66.745</td>\n",
" <td>0.688</td>\n",
" <td>65.729</td>\n",
" <td>64.045</td>\n",
" <td>65.581</td>\n",
" <td>31.789</td>\n",
" <td>32.884</td>\n",
" <td>33.255</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>RandomForestClassifier</td>\n",
" <td>67.088</td>\n",
" <td>0.612</td>\n",
" <td>68.849</td>\n",
" <td>68.864</td>\n",
" <td>67.854</td>\n",
" <td>33.614</td>\n",
" <td>33.156</td>\n",
" <td>32.912</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>LGBMClassifier</td>\n",
" <td>67.812</td>\n",
" <td>0.597</td>\n",
" <td>67.968</td>\n",
" <td>68.346</td>\n",
" <td>68.042</td>\n",
" <td>33.943</td>\n",
" <td>32.261</td>\n",
" <td>32.188</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>XGBClassifier</td>\n",
" <td>66.799</td>\n",
" <td>0.658</td>\n",
" <td>68.793</td>\n",
" <td>69.819</td>\n",
" <td>68.101</td>\n",
" <td>33.727</td>\n",
" <td>33.616</td>\n",
" <td>33.201</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Classifier Accuracy Log Loss Cross Val Recall Roc Auc \\\n",
"0 BaggingClassifier 66.973 0.616 68.713 69.082 67.882 \n",
"0 AdaBoostClassifier 66.745 0.688 65.729 64.045 65.581 \n",
"0 RandomForestClassifier 67.088 0.612 68.849 68.864 67.854 \n",
"0 LGBMClassifier 67.812 0.597 67.968 68.346 68.042 \n",
"0 XGBClassifier 66.799 0.658 68.793 69.819 68.101 \n",
"\n",
" F1 False Positive Rate Error Rate \n",
"0 33.607 33.318 33.027 \n",
"0 31.789 32.884 33.255 \n",
"0 33.614 33.156 32.912 \n",
"0 33.943 32.261 32.188 \n",
"0 33.727 33.616 33.201 "
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(\"Results Shape\",results.shape)\n",
"results.head(10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Method 2\n",
"For the following Balanced algorithms from imblearn we will be using the standard testing and training sets (X_train, X_test, y_train, y_test) and will allow the algorithms to do the resampling.<br> <br>For the sampling_strategy, we will be using majority as the solution.<br><br>'majority': resample only the majority class\n",
"\n",
"We will then gather the results of some scoring metrics (Accuracy, Log Loss, Cross Validation, Recall, Roc Auc, F1, False Positive Rate, Error Rate), and put those scores into a dataframe."
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"#train_tes_split without resampling\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=27)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\n",
"\n",
"BalancedBaggingClassifier Results:\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
"Accuracy: 78.5321%\n",
"Cross validation scores: 0.7835718595519356\n",
"Log Loss: 0.5083639622989169\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\n",
"\n",
"EasyEnsembleClassifier Results:\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
"Accuracy: 66.6092%\n",
"Cross validation scores: 0.6677565267506275\n",
"Log Loss: 0.6897912318334272\n"
]
},
{
"data": {
"image/png": 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I3u/cmoKlSpM3Xz6cXF2p2awlALVbvsiWHxbkzEnLHbk5B/932Y3gfzsSweHjB+nQpxlpN9K4dPkCA9/pxafvf0M+bx/iLsbim78AcRdj8fZKn3Jzd8vLO4PeB9IHjR37NqdooeJZ1nU65hRnzp+2f+qIvXCOl4d0ZNakBfjk++d/wntkAt5mszFz5kwGDx7MqFGjMrSVLFmS2bNnU6BAAWJjY+nduzfFixendevWNGrUiFGjRtGhQweioqLsxxQpUoQ///zTvv7rr78C6eH94Ycf8swzz+Ds7MyMGTOYOXMmjRo1IigoiJiYGKpXr85jjz3GlStX8PBIn++dOHEiLVu2xDAMxo8fT2hoKI0aNWLYsGG0atUKgODgYPbs2cO3337LhAkTaN26NTabjbVr1zJ8+PAHfQlzXV7vfNRu2YotP8ynQYcuQPYjeJ8iRdkU+j1p/WwYhsGRXdtp1usVAJZM/YikK1fo9f7kDMecOxlFoVLp0y6RG9dTsFRpAK4nJYFh4Ozmxm9bN+Pg4EixchUAqN64GUd2bqNyvQYc3P7LLdNA8vD5FSt92xF8u5ZdaNcy/X0Uc+40w98fwKfvfwNAgzqNWRX2Iz069GFV2I88XacxAFeuJuDi7EKePE4sX/cD1R97Ane3vFm+RtlSFfjvt1vs6x36NOPrKaG6i+ZBmDFjBpGRkUycODHD9k8//ZSQkBBCQkLo3bs306dPp127dixbtowVK1awePHiW/qaOnUqGzZsYNu2baxdu5Y5c+Zw+fJlAgMDuXz5MnXq1MHJyYmtW7eydu1aAOrUqUOVKlU4efJkhr7at29P9erVqVatGr6+vuzevZvNmzdneR758uWjXbt2VKqUPqfn5XXrFzt9+vShb9++ALg4mOe77hYv92PDvDl3vP8Tz73IoR1bGfNiU7BYePzpZ6jepDkXz55hxefTKVKmHGPbtgCgaffeNOzUjZ/nfcPBbVtwcHTE3cuLVz6aBsCVC3FMCeyG1WLFu1BhXpn01/xvx+Hv8NXwQcz/4F088uXn5Q+n5uyJy0PVo/0rjJ40hBXrl1DItwjjR3wMQPSfUbz3ydtYrQ6UKlGWtweOsx8TNGUY4b/uJj4hnraBTQjs8hqtmnXIrVN4KCyAkdtFAPbR8tixY0lNTSUpKck+Bx8bG0uRIkWw2Ww4OjoSExNDgQIFmDNnTpYBD+mj+Oeee442bdpQsWJFqlWrxnfffUfVqlVJTEwE0sO3X79+pKSkEBQURJMmTW6p6eOPP+bAgQPMmZMeXCEhISxatIiEhIRMR/Dz5s1j79697Nmzh//+97+sWLGC1NTULM89Nuk6y0/F5dSlFJOpeFC3dErWnIolUrt27UzbHrmh47Rp0wgMDMT9f3OymTGMO/udFBMTw5w5c2jbti02m40qVapgsVh4/fXXqVGjBjVq1KBMmTKsW5d+f/e1a9cy7cdiyfzWKZvNhtX61yV0cXEBIC0tjTp16rB48WLatm3L6tWr76heEZGc9MgF/KVLlwgNDSUw8K9b4rZt20aXLulzcS+99BK//PILQIY58v+rRYsWODqmz0AVKlQIHx8fTp8+zZo1a3j11VftbeXLl8fNzS3TPm7avHkznTt3xmq14uvrS8OGDdm1axfR0dH4+/vj5OSEp6cnTZs2BcDd3R0vLy9WrVrFm2++SfXq1e/vooiI3INHag7+pilTpjBw4ED7+qBBg5g9ezbDhw+3f8kKsGDBAmbNmsWgQYPo2LFjhi9ZmzdvzieffEJycjIAw4cP59y5c3z11VeUKlWKffv2YbFYiI2NpW3btretZ+nSpdSrV4+IiAgMw2DEiBGcO3cOgNDQUCIjIzl69Cjh4eEAeHh48NNPP+Hi4oLFYmHw4ME5en1ERO7EIzMH/2+mOXi5Hc3By+38o+bgRUQkZyjgRURMSgEvImJSCngREZNSwIuImJQCXkTEpBTwIiImpYAXETEpBbyIiEkp4EVETEoBLyJiUgp4ERGTUsCLiJiUAl5ExKQU8CIiJqWAFxExKQW8iIhJKeBFRExKAS8iYlIKeBERk1LAi4iYlAJeRMSkFPAiIialgBcRMSkFvIiISSngRURMSgEvImJSCngREZNSwIuImJQCXkTEpBTwIiImpYAXETEpBbyIiEkp4EVETEoBLyJiUgp4ERGTUsCLiJiUAl5ExKQU8CIiJqWAFxExKQW8iIhJKeBFRExKAS8iYlIKeBERk1LAi4iYlAJeRMSkFPAiIialgBcRMSkFvIiISSngRURMyjGrhmXLlmEYRpYHtmnT5oEUJCIiOSPLgJ88efLDrENERHJYlgG/efPmh1mHiIjksCwD/qZy5coxYcIE/P39cXFxsW8vW7bsAy1MRETuT7Zfss6ZM4fPP/8cm81G48aNCQkJYe7cuQ+jNhERuQ/ZBryrqysbNmzAYrHwxx9/MHbsWJo0afIwahMRkfuQ7RRNcnIyFouFo0eP8tprr3H69GkKFiz4MGoTEZH7kO0I/s0338TNzY1BgwZRq1YtevToQUBAwMOoTURE7oMFyPpmd3koYpOus/xUXG6XIY+oigfjc7sEeYQ5FUukdu3ambZlO0WzYcOGTP/gqWnTpvdfmYiIPDDZBvywYcPs/+3i4kKHDh2w2WwPtCgREbl/2Qb8vn37Mqxv27aNjRs3Pqh6REQkh2Qb8Pny5bP/t9VqpVatWhQuXPiBFvVvcyYukbFfh+d2GfKImtr2idwuQR5hJUjMsi3bgN+7dy+GYWCxWLDZbJw4cYLAwMAcLVBERHJetgFfuXJlrl+/nmGbk5PTAytIRERyRrb3wW/btu2Wbdu3b38gxYiISM7JcgRfqFAhihUrhqurK9WrV8disQDg6emJm5vbQytQRETuTZYB36JFC3r16kXx4sWZMmWKPeATEhIYOXLkQytQRETuTZYBHxISQkhICO3bt2fJkiUPsyYREckB2c7B16pVCy8vL/u6t7c377333gMtSkRE7l+2Ad+yZUsuX75sX4+Pj+f5559/oEWJiMj9yzbgHRwcMtwW6eLigrOz8wMtSkRE7l+298HPmzePn3/+mTlz5gDQu3dvvv322wdemIiI3J9sA37SpElERkby7LPPYrFYWL16NX5+fg+jNhERuQ/ZTtEAnD17lhs3btChQweaNm3KoUOHHnRdIiJyn7IcwZcvX54uXbrQtWtXLly4wMKFC7FYLPr3WEVE/iGyDPjDhw+zZcsWWrVqxfHjxwEYPHjwQytMRETuT5ZTNB06dODs2bOEhYUxc+ZMmjRpYv9rVhERefRlGfA//vgjXbp0oVKlSmzcuJHBgwdTqFAhPvvsM5o1a/YwaxQRkXuQ7ZesiYmJfP/997Rq1YrixYuzf/9+/vOf/zyM2kRE5D7c0V00N126dImZM2fqH9wWEfkHuKuAFxGRfw4FvIiISSngRURMSgEvImJSCngREZNSwIuImJQCXkTEpBTwIiImpYAXETEpBbyIiEkp4EVETEoBLyJiUgp4ERGTUsCLiJiUAl5ExKQU8CIiJqWAFxExKQW8iIhJKeBFRExKAS8iYlIKeBERk1LAi4iYlAJeRMSkFPAiIialgBcRMSkFvIiISSngRURMSgEvImJSCngREZNSwIuImJQCXkTEpBTwIiImpYAXETEpBbyIiEkp4EVETEoBLyJiUgp4ERGTUsCLiJiUAl5ExKQU8CIiJqWAFxExKQW8iIhJOeZ2AfLPFT2xNXkK+NnXC7Yfhe3yOc7NH0mBDqNxK/ckAOd/GItnnXa4lKyabZ/Jf0RyfvF4HL0LAeBW4Sm863cFIGHPT1yNWAMG5K3WAs/abQC4FDabxGO7sDg44uhdGN/n38TqkhcjzcaF1dNJOXsc40Yaeas0watep5y+DPI/Vy5fJOj1/wdA/IXzWK0OeObzAeDk0d8oVf4x0tJsFPcrz6Ax03F2ccu2z20/L2Ph15P58+RRPvp6FeUqV7e/1qSRr3Ds0H4aP9+ZPsMm2I85fjiC4PfeIOV6MjWfakrg4PFYLBZ7+4/ffUbIp+P4ZtVveHqn1/frvq3MnjaGNFsqHl75Gf/5jzl2XXKTAl7umcXRiaK9gzNss10+h4OHL5e3hdoD/m65lHiMgh2DMmxLiT3J1Yg1FO75MRaHPJwPHYNr2SfIk78YLqWq490oAIvVgUsb53B5xyLyPdObxCO/YNhSKRo4gxupyZz5agDu/o1w9Cp0z+csWfPwys/HIT8DsOCrSbi4utP2pQEAdGtSxt42NWgAa5aG0Lpr/2z7LFm2EiMmzOaLj4Zn2J7HyZmufd/ij+OH+SPqcIa2Lye+xav/mUyFKrUYP6Qb4Ts2ULNeUwDizp0mcvdmfAsXs+9/7cplZk76D6OnzqdA4eLEX4y994vwiNEUjeQ4p4KlsTq7kXQiPMf6TL3wJ85FK2HN44LF6oBziSokHt0OgGvpmlisDgA4F62I7Urc/46yYKQmY9xIw7ClYHFwxOKU/ahRHiz/ak8S8+eJO9q3eKkKFPMrd8t2F1d3Kld7kjzOzhm2X4w7R9K1q1R8/AksFgvPtOzEzk2r7e2zPxlDj9dGY+GvEf3mtUuo+8wLFChcHADv/AXu5bQeSRrByz0zbCmcmfM6AI5ehSjYfpS9zeupzsRvmYdr6RoZjrn48yyS/4i8pS/3yg3xqpv+8f766cOcmT0Qh7w+5Gv8Mk4F/HDy9SN+cwhpSQlYHJ1IitqDc+Hyt/RzNXIdbpUbAuBWsT6JR3fw56c9MGzXydekDw6uHjl2/nL30mw29u3YQI26jQF4p38bkhKv3rJfwMAgqtVpeNf9X4yNwadgEfu6T8EiXIyNAWDXljX4FChC6fKPZTjmzB9RpNlSGT2gHUmJ13ih0ys0ft4cU3mmDviRI0fSrVs30tLSuHHjBv369WPXrl13dGy/fv1ITExk7ty5D7jKf67MpmhucilRBYDkU79m2J6/aZ/b9ulUqBzFXp2N1cmVpOO7iV06nmJ9Z5HHtwSeT3bk/MLRWPK44FSwNPxv1H7T5W0LweqAu/8zAFyP+R2sVoq/FsKN5Kuc/f4tXEpVJ4934Xs8Y7lXKdeTGdIzfZqkcrUnadqqGwDvf/FTjr6OYRi3bLNYLFxPTmTxN9MY88nCW9pvpNk4fiSSscGLSLmezNt9XqRilVoULVk2R2vLDaYN+Lp16/Liiy9Ss2ZNUlJS8PHxwcnJ6Y6OdXBw4Msvv3zAFZqfV71OXN4eap8+gexH8Fbnv6ZQXMvWxlj7OWmJl3Fw88KjWnM8qjUH4NKmb3H08LXve/XAzyQe30WhLu/bv1C7dnATrqVrYXFwxMHdG+dilUmJOaqAzwVOzi72Ofi/y+kRvE/Bolw4H2Nfv3A+hny+hTn7ZzTnYv5gSI8m6dtjYxjWqzkffb0Kn4JF8fDOj4urOy6u7vhXr8vJo78p4B9lRYoUIS4ujpSUFAAuXLgAQM2aNfn444/JmzcvcXFx9OrVi7NnzxIWFsa2bduoX78+y5Ytw8PDg6tXrzJlyhSqVavGF198gZubG8ePH+fll18mPj6esLAwhg0bxt69e/Hx8WHPnj2ULl0af39/5syZg5OTE1arlQ4dOnDs2LHcvBy5wrV0TeK3zCPt6kX7tuxG8GlXL2F1904fdZ05AoaB1dUzve1aPA7u3tgSzpP4+3YK95gMQFLUXhJ2/kChbh9izeNi78vRswDJ0ZG4P9YYI/U6KWeO4PlEmwdwpnKvcnoEn9+3EC7u7hz5dS8VHqvJxlWhPP//AvErV5lvVv5m369fuyeYNGcNnt4+1GnYglmTR5Jms2GzpfD7wX282KVvjtaVW0wb8GvXrmXMmDEcOXKE9evXs3DhQrZt20ZwcDBt2rQhLi6OTp068f777xMYGAiAt7c3zzzzDABBQX/dxRESEsLrr7/O5s2bGTt2LEFBQQwePDjL1+7fvz+ffPIJ33//PXny5MHBweGWffr06UPfvulvovzud/bJ4p/Iq15nYpe8d8f7XzvyC1fDV4HVisXRGd/WI+wj8tgfP+BG0hWwOpC/WX8cXPICcHHdFxhpqZxbmP4dgHPRivi0GIhHzRe4sHIaMV+/Bhi4P/5s+tSO/GPs2LiSr6ZyY4YAAA2pSURBVD5+h4T4C7w/tDulK1RhzLQFQHpIJ127is2Wws7Nqwn6ZAElSlek3/CPCB7/v9sk6zax30GTleKlKlCjbmMG92iMxWrl2VYv4Ve28sM4vQfOAtw6aWUSVquVp59+msaNG9OvXz/Gjx/PBx98QFRUFJA+FRMTE0OLFi0ICwsjKCiIzZs3A+kBf/XqVWbNmsWBAwfw80u/37tMmTIsWrSIWrVqZTmC79q1K++88w4hISEsWbIk29F7xKlLtP5064O9GPKPNbXtE7ldgjzCSjieonbt2pm2mXYED3Djxg02bdrEpk2bOHDgAK+99hq//fYbTz31VKb7X7t27a76t9lsWK3pd5q6uPw1NTB//nx27tzJCy+8wJo1a3jllVcICwu79xMREbkHpr0PvkKFCpQr99f9s9WrV+fQoUMUKFCAunXrAuDo6Ii/v/9t+0lISODSpUs0aNAAgB49erBp0yYATp48Sa1atQDo2LGj/ZjSpUsTFRVFcHAwy5Yto2rV7P+CU0Qkp5l2BJ83b16Cg4Px9vbGZrNx7Ngx+vbty8yZM5k+fTpeXl44Ojoybdo0Dh48eNu+AgIC7F+yRkVF0bt3bwAmT55MaGgoPXr0YMOGDfb9O3fuTPfu3UlNTeXs2bOMGzfugZ6riEhmTD0H/0+hOXi5Hc3By+3cbg7etFM0IiL/dgp4ERGTUsCLiJiUAl5ExKQU8CIiJqWAFxExKQW8iIhJKeBFRExKAS8iYlIKeBERk1LAi4iYlAJeRMSkFPAiIialgBcRMSkFvIiISSngRURMSgEvImJSCngREZNSwIuImJQCXkTEpBTwIiImpYAXETEpBbyIiEkp4EVETEoBLyJiUgp4ERGTUsCLiJiUAl5ExKQU8CIiJqWAFxExKQW8iIhJKeBFRExKAS8iYlIKeBERk1LAi4iYlAJeRMSkFPAiIialgBcRMSkFvIiISSngRURMSgEvImJSCngREZNSwIuImJQCXkTEpBTwIiImpYAXETEpBbyIiEkp4EVETEoBLyJiUgp4ERGTUsCLiJiUAl5ExKQU8CIiJqWAFxExKQW8iIhJKeBFRExKAS8iYlIKeBERk1LAi4iYlAJeRMSkFPAiIialgBcRMSkLYOR2Ef9258+fJzo6OrfLeGT4+voSFxeX22XII0rvj4z8/PwoWLBgpm0KeHnk7N69m9q1a+d2GfKI0vvjzmmKRkTEpBTwIiIm5QC8m9tFiPxf+/bty+0S5BGm98ed0Ry8iIhJaYpGRMSkFPAiIialgJc7YhgGkydPtq8PHTqUoKCg2x7Tpk0bKleunGlbhQoVCAsLIzw8nIMHD/Lll1/edU1bt26962Mkd40cOZJff/2ViIgIwsPDqVOnzh0f269fP3r06PEAqzMnQ4uW7JakpCQjKirK8PHxMQBj6NChRlBQ0G2PmTNnjtGhQ4dM21avXm20bt3avl6lSpU7rsVqteb69dBy90vdunWNbdu2GU5OTgZg+Pj4GEWKFLmjYx0cHHK9/n/iohG83BGbzcbMmTMZPHjwLW0lS5Zk/fr1REREsH79ekqUKEG9evVo3bo1kyZNIjw8nDJlymQ4pkiRIvz555/29V9//RUAq9XKxIkT2bVrFxEREfTt2xeARo0asWHDBr777jsOHDgAwJUrV+zHT5w4kQMHDhAZGUmnTp3sxyxfvty+T3BwMAEBAQBMmDCB3377jYiICCZNmpQTl0iyUaRIEeLi4khJSQHgwoULxMTEULNmTTZu3MiePXtYvXo1hQsXBiAsLIz333+fjRs38sYbbxAUFMTQoUMBqFatGtu3byciIoIlS5bg7e1tP6ZWrVoA+Pj4cOLECQD8/f3ZuXMn4eHhREREUK5cuYd9+rkm13/LaHn0lytXrhgeHh7GiRMnDE9Pzwwj+GXLlhk9e/Y0AKN3797G0qVLDbj9CL5Xr15GfHy8sXLlSuPNN980vLy8DMDo06eP8c477xiA4eTkZOzevdsoVaqU0ahRI+Pq1atGqVKlMtQEGO3btzfWrl1rWK1Wo2DBgkZ0dLRRuHBho1GjRsby5cvt+wcHBxsBAQFGvnz5jMOHD9u333xtLQ92cXd3N8LDw40jR44YM2bMMBo2bGg4OjoaW7duNXx9fQ3A6NSpk/H1118bgBEWFmbMmDHDfnxQUJAxdOhQAzAiIiKMhg0bGoAxduxYY+rUqfZjatWqZUD6J4QTJ04YgDF9+nSjW7duBmDkyZPHcHFxyfXr8TAWjeDljl25coWQkBAGDRqUYXu9evX4/vvvAZg7dy4NGjTItq9vvvmGypUrs2jRIp555hl27NiBk5MTzZs3p2fPnoSHh7Nz5058fHwoX748ALt27eLkyZO39NWgQQPmz5/PjRs3OH/+PJs2bbrtn7InJCSQnJzMV199Rbt27UhMTLyLqyD36tq1a9SqVYu+ffsSGxvLwoUL6devH1WqVGHdunWEh4czatQoihcvbj9m4cKFt/Tj6emJt7c3mzdvBuDbb7+lYcOGt33t7du3M3LkSEaMGIGfnx/Jyck5e3KPKAW83JVp06YRGBiIu7t7lvsYhnFHfcXExDBnzhzatm2LzWajSpUqWCwWXn/9dWrUqEGNGjUoU6YM69atA9IDIjMWiyXT7TabDav1r7e4i4sLAGlpadSpU4fFixfTtm1bVq9efUf1yv27ceMGmzZt4t1332XgwIF06NCB3377zf7zrlq1Ki1atLDvn9XPPCt//5nf/HkDzJ8/n9atW5OUlMSaNWto3LhxzpzQI04BL3fl0qVLhIaGEhgYaN+2bds2unTpAsBLL73EL7/8AqSP+D08PDLtp0WLFjg6OgJQqFAhfHx8OH36NGvWrOHVV1+1t5UvXx43N7fb1rR582Y6d+6M1WrF19eXhg0bsmvXLqKjo/H398fJyQlPT0+aNm0KgLu7O15eXqxatYo333yT6tWr399FkTtSoUKFDHPf1atX59ChQxQoUIC6desC4OjoiL+//237SUhI4NKlS/ZPij169GDTpk0AnDx50j4H37FjR/sxpUuXJioqiuDgYJYtW0bVqlVz9NweVY65XYD880yZMoWBAwfa1wcNGsTs2bMZPnw4sbGx9O7dG4AFCxYwa9YsBg0aRMeOHYmKirIf07x5cz755BP7R+Xhw4dz7tw5vvrqK0qVKsW+ffuwWCzExsbStm3b29azdOlS6tWrR0REBIZhMGLECM6dOwdAaGgokZGRHD16lPDwcAA8PDz46aefcHFxwWKxZPrFseS8vHnzEhwcjLe3NzabjWPHjtG3b19mzpzJ9OnT8fLywtHRkWnTpnHw4MHb9hUQEMAXX3yBm5sbUVFR9vfc5MmTCQ0NpUePHmzYsMG+f+fOnenevTupqamcPXuWcePGPdBzfVToUQUiIialKRoREZNSwIuImJQCXkTEpBTwIiImpYAXETEpBbxIDrHZbISHh3PgwAFCQ0NxdXW9577+/hydVq1a8dZbb2W5r5eXF6+++updv8bfn+0i5qSAF8khSUlJ1KhRg8cff5yUlBT69+9/yz5Z/dXt7SxfvpyPPvooy3Zvb28GDBhw1/2K+SngRR6ALVu2UK5cOfz8/Dh48CAzZsxg3759lChRgmbNmrFt2zb27t1LaGio/bEPLVq04NChQ2zZsoX27dvb+woICCA4OBiAggULsmTJEvbv38/+/fupV68eH374IWXLliU8PJyJEycCMGzYMPsTOd999117XyNHjuTw4cOsW7eOihUrPrwLIrkm1594pkWLGZabT7d0cHAwfvzxR6N///6Gn5+fkZaWZjz55JMGpD/hcNOmTYabm5sBGCNGjDBGjx5tODs7G3/88YdRrlw5AzAWLlxofxJmQECAERwcbADGggULjDfeeMOA9Ofie3p6Gn5+fsaBAwfsdTRr1sz48ssvDcCwWCzG8uXLjaefftqoWbOmERkZabi6uhoeHh7G0aNH7U9n1GLORY8qEMkhrq6u9schbNmyha+//pqiRYsSHR3Nzp07Aahbty7+/v72f43KycmJ7du3U6lSJU6cOMGxY8cAmDdvnv1Z+H/XpEkTevbsCaQ/uCshIYF8+fJl2Kd58+Y0b97cXkvevHkpX748Hh4eLF26lKSkJACWLVv2AK6CPEoU8CI55OYc/P/19yciWiwW1q1bR7du3TLsU61atTt+Cmd2LBYLEyZMYObMmRm2v/HGGzn2GvLPoDl4kYdox44d1K9fn7JlywLpo/7y5ctz+PBhSpcubf+Xr7p27Zrp8T///LP9jhmr1YqHh8ctT+1cs2YNL7/8sn1uv2jRohQoUIDNmzfTrl07XFxcyJs3L61atXqQpyqPAAW8yEMUFxdHr169mD9/PhEREezYsYNKlSpx/fp1+vbty3//+1+2bNlCdHR0pse/8cYbNG7cmMjISPbu3ctjjz3GxYsX2bp1KwcOHGDixImsW7eO77//nu3btxMZGckPP/yAh4cH4eHhLFy4kP3797N48WK2bNnykM9eHjY9TVJExKQ0ghcRMSkFvIiISSngRURMSgEvImJSCngREZNSwIuImJQCXkTEpBTwIiImpYAXETEpBbyIiEkp4EVETEoBLyJiUgp4ERGTUsCLiJiUAl5ExKQU8CIiJqWAFxExKQW8iIhJKeBFREzq/wPZYguk/QmY5QAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\n",
"\n",
"BalancedRandomForestClassifier Results:\n",
"~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n",
"Accuracy: 67.2785%\n",
"Cross validation scores: 0.6711282603625109\n",
"Log Loss: 0.6076769094064609\n"
]
},
{
"data": {
"image/png": 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Ar/to+1JjUm6mcOHSOQa80YMP3/kCf78Azp6PJzBffs6ej8fPN+13Pz9uWMazf5ieiT4QycYda9myawPJN65zLeEaoye/TuiQ8Y5PAq55XHm+YWvmff9Fth57Tso1AW+325kxYwZDhgxh1KhRabYVL16czz//nPz58xMfH0/Pnj0pVqwYLVq0oH79+owaNYq2bdsSExPjaFO4cGF+++03x+OffvoJSA3vd999l2eeeQY3NzemT5/OjBkzqF+/PqGhocTFxVG1alUqVqzIlStX8PZOvepiwoQJNGvWDGMMY8eOJTw8nPr16zNs2DCaN28OwLRp09i5cydffvkl48aNo0WLFtjtdlauXMnw4cMf9CnMcV5+/jzRrDkb/jOPum07AlmP4AMKF2Fd+Nek9LVjjOHg9i007vEiAAsnjyfxyhV6vPNemjYXz5x2BHbkjyspXDp1NFjysapcu3SRy+fP4ZMvgP1bN1GiUpU0bYwx7F69nKJly2f78cvdCSpaMtMRfOtmHWndLPV1FHf6BMPf6c+H73wBQN2aDVgW8R3d2r7EsojveLpmA0e7q9euEPnzDt4a8q5j3cvdhvByt9RPbLv3bmfe918QOmQ8gOONwhjD+m0/Oj5dWEGuCXiA6dOnEx0dzYQJE9Ks//DDDwkLCyMsLIyePXsydepUWrduzeLFi1myZAkLFiy4ra/JkyezZs0aNm/ezMqVK5k9ezaXLl2id+/eXLp0iZo1a+Lq6sqmTZtYuXIlADVr1qRSpUocPXo0TV9t2rShatWqVKlShcDAQHbs2MH69eszPA5/f39at25N+fKpIeLr63vbPi+99BJ9+vQBwN3ZOt91N+3VlzVzZ9/x/o8/9wL7t27irRcagc3GY08/Q9WGTTh/6iRLPp5K4VJlGN0q9eqGW5dDrg77nD1rVuLk7IyXnx+9350CgJOzMx3+8RbvhXTAGEOJio9R//8vn5wxbABXzp8HY3ikQkW6j343w5ok9+vW5kXenPgaS1YvpGBgYcaOeN+xbd3W1dSsWgeP/7nyJiOjJ4/g4qULGAxlS5ZneL+3HlTZD50NMDldBOAYLY8ePZobN26QmJjomIOPj4+ncOHC2O12XFxciIuLI3/+/MyePTvDgIfUUfxzzz1Hy5YtefTRR6lSpQpfffUVlStXJiEhAUgN3759+5KcnExoaCgNGza8rab333+fvXv3Mnt2anCFhYXx7bffcvny5XRH8HPnzmXXrl3s3LmT//73vyxZsoQbN25keOzxidf54fjZ7DqVYjGP7ruY0yVILuZaNIEnnngi3W25bug4ZcoUevfuTd7/n5NNjzF39p4UFxfH7NmzadWqFXa7nUqVKmGz2Rg4cCDVqlWjWrVqlCpVilWrUq/vvnbt9m/XAWw2W7rr7XY7Tn+4ztrd3R1I/WWKmjVrsmDBAlq1asXy5cvvqF4RkeyU6wL+woULhIeH07v375fEbd68mY4dU+fiunTpwsaNGwHSzJH/r6ZNm+LikjoDVbBgQQICAjhx4gQrVqzg5ZdfdmwrW7Ysnp6Zf5Rbv349HTp0wMnJicDAQOrVq8f27duJjY0lODgYV1dXfHx8aNSoEQB58+bF19eXZcuWMXjwYKpWrXp/J0VE5B7kqjn4WyZNmsSAAQMcjwcNGsTnn3/O8OHDHV+yAnzzzTfMnDmTQYMG0a5duzRfsjZp0oQPPviApKQkAIYPH87p06eZNWsWJUqUYPfu3dhsNuLj42nVqlWm9SxatIjatWsTFRWFMYYRI0Zw+vRpAMLDw4mOjubQoUNERkYC4O3tzffff4+7uzs2m40hQ3Q5nog8fLlmDv6vTHPwkhnNwUtm/lRz8CIikj0U8CIiFqWAFxGxKAW8iIhFKeBFRCxKAS8iYlEKeBERi1LAi4hYlAJeRMSiFPAiIhalgBcRsSgFvIiIRSngRUQsSgEvImJRCngREYtSwIuIWJQCXkTEohTwIiIWpYAXEbEoBbyIiEUp4EVELEoBLyJiUQp4ERGLUsCLiFiUAl5ExKIU8CIiFqWAFxGxKAW8iIhFKeBFRCxKAS8iYlEKeBERi1LAi4hYlAJeRMSiFPAiIhalgBcRsSgFvIiIRSngRUQsSgEvImJRCngREYtSwIuIWJQCXkTEohTwIiIWpYAXEbEoBbyIiEUp4EVELEoBLyJiUQp4ERGLUsCLiFiUAl5ExKIU8CIiFuWS0YbFixdjjMmwYcuWLR9IQSIikj0yDPj33nvvYdYhIiLZLMOAX79+/cOsQ0REslmGAX9LmTJlGDduHMHBwbi7uzvWly5d+oEWJiIi9yfLL1lnz57Nxx9/jN1up0GDBoSFhTFnzpyHUZuIiNyHLAPew8ODNWvWYLPZOHbsGKNHj6Zhw4YPozYREbkPWU7RJCUlYbPZOHToEK+88gonTpygQIECD6M2ERG5D1mO4AcPHoynpyeDBg2iRo0adOvWjZCQkIdRm4iI3AcbkPHF7vJQxCde54fjZ3O6DMmlHt13MadLkFzMtWgCTzzxRLrbspyiWbNmTbq/8NSoUaP7r0xERB6YLAN+2LBhjn+7u7vTtm1b7Hb7Ay1KRETuX5YBv3v37jSPN2/ezNq1ax9UPSIikk2yDHh/f3/Hv52cnKhRowaFChV6oEX91Zw8m8DozyJzugzJpSa3ejynS5Bc7BESMtyWZcDv2rULYww2mw273c6RI0fo3bt3thYoIiLZL8uAr1ChAtevX0+zztXV9YEVJCIi2SPL6+A3b95827otW7Y8kGJERCT7ZDiCL1iwIEWLFsXDw4OqVatis9kA8PHxwdPT86EVKCIi9ybDgG/atCk9evSgWLFiTJo0yRHwly9fZuTIkQ+tQBERuTcZBnxYWBhhYWG0adOGhQsXPsyaREQkG2Q5B1+jRg18fX0dj/38/PjXv/71QIsSEZH7l2XAN2vWjEuXLjkeX7x4kb/97W8PtCgREbl/WQa8s7Nzmssi3d3dcXNze6BFiYjI/cvyOvi5c+fy448/Mnv2bAB69uzJl19++cALExGR+5NlwE+cOJHo6GieffZZbDYby5cvJygo6GHUJiIi9yHLKRqAU6dOcfPmTdq2bUujRo3Yv3//g65LRETuU4Yj+LJly9KxY0c6derEuXPnmD9/PjabTX+PVUTkTyLDgD9w4AAbNmygefPm/PrrrwAMGTLkoRUmIiL3J8MpmrZt23Lq1CkiIiKYMWMGDRs2dPw2q4iI5H4ZBvx3331Hx44dKV++PGvXrmXIkCEULFiQjz76iMaNGz/MGkVE5B5k+SVrQkICX3/9Nc2bN6dYsWLs2bOHf/zjHw+jNhERuQ93dBXNLRcuXGDGjBn6g9siIn8CdxXwIiLy56GAFxGxKAW8iIhFKeBFRCxKAS8iYlEKeBERi1LAi4hYlAJeRMSiFPAiIhalgBcRsSgFvIiIRSngRUQsSgEvImJRCngREYtSwIuIWJQCXkTEohTwIiIWpYAXEbEoBbyIiEUp4EVELEoBLyJiUQp4ERGLUsCLiFiUAl5ExKIU8CIiFqWAFxGxKAW8iIhFKeBFRCxKAS8iYlEKeBERi1LAi4hYlAJeRMSiFPAiIhalgBcRsSgFvIiIRSngRUQsSgEvImJRCngREYtSwIuIWJQCXkTEohTwIiIWpYAXEbEol5wuQP68Yie0IE/+IMfjAm1GYb90mtPzRpK/7Zt4lnkSgDP/GY1Pzda4F6+cZZ9Jx6I5s2AsLn4FAfAs9xR+dToBcHbpFBJ/3YGzpy9Fen/kaHNx41dcjVqBk6cvAP71uuNR+glMip1zy6eSfOpXzM0UvCo1xLd2+2w7fknryqXzhA78OwAXz53ByckZH/8AAI4e+pkSZSuSkmKnWFBZBr01FTd3zyz73PzjYuZ/9h6/HT3E+M+WUaZCVcdzTRz5Iof376HB3zrw0rBxjjYbVi5iwZcfYLPZ8A8sxOC3P8THLyDDvgCOHt7HJ+OHk3jtCjabExM+X46rm3t2np4coYCXe2ZzcaVIz2lp1tkvncbZO5BLm8MdAX+33B+pSIF2obet93rsWbyrv8C5/75/2zbvx1vh+2SbNOsSDm7E2G9QpPd0bt5I4uSs/uQNro+Lb8F7qksy5+2bj/fDfgTgm1kTcffIS6su/QHo3LCUY9vk0P6sWBRGi079suyzeOnyjBj3OZ+MH55mfR5XNzr1eZ1jvx7gWMwBx/oUu53Ppoxi6tfr8fELIOzDMSz9z+d0fHF4hn2l2O188PYrDAr9kJJlK3Ll0nmcXfLc17nILTRFI9nOtUBJnNw8STwSma39uj9SCWcP77toYcPcSMLcTMHYk7E5u2BzzXrUKA9WcJUnifvtyB3tW6xEOYoGlbltvbtHXipUeZI8bm5p1hsMGENSYgLGGBKuXSVfYKFM+9qzfS1BZYIpWbYikPpG5ezsfLeHlStpBC/3zNiTOTl7IAAuvgUp0GaUY5vvUx24uGEuHiWrpWlz/seZJB2Lvq2vvBXq4Vsr9eP99RMHOPn5AJy9AvBv0AvXP0wDZeTK7iVc+3kNroXK4N/wRZzdvfB8tA4Jh7by24fdMPbr+Dd86S7fICS7pdjt7N66hmq1GgDwRr+WJCZcvW2/kAGhVKlZ7677d3HJQ5/h4xnStQFuHp4UeaRUmumb9Jw8FoPNZmPM4I5cunCOuo1b0rrrgLt+7tzI0gE/cuRIOnfuTEpKCjdv3qRv375s3779jtr27duXhIQE5syZ84Cr/PNKb4rmFvdHKgGQdPynNOvzNXop0z5dC5ah6Muf4+TqQeKvO4hfNJaifWZm2sa72t/wfaoj2Gxc3DCXC2tmEfi3wVyP+wWcnCj2Shg3k65y6uvXcS9RlTx+he7iKCU7JF9P4rXujQCoUOVJGjXvDMA7n3yfrc9jt99gxcIvmfTlagoWDWLWpJEsDJvK33sOybBNSoqd/VHbmPD5ctzcPQgd+HdKP1qFyk88na215QTLBnytWrV44YUXqF69OsnJyQQEBODq6npHbZ2dnfn0008fcIXW51u7PZe2hGNz+v3jblYjeCe336dQPEo/gVn5MSkJl3D+/y9Q0+Oc19/xb+8qTTnzn9EAXNu3Do+SNbA5u+Cc1w+3ohVIjjukgM8Brm7ujjn4P8ruEfyRX1IHFIWKlQDgqUYtWDQn/UHILYEFilCxWm18/FK/EK5euxExB6MV8LlZ4cKFOXv2LMnJyQCcO3cOgOrVq/P+++/j5eXF2bNn6dGjB6dOnSIiIoLNmzdTp04dFi9ejLe3N1evXmXSpElUqVKFTz75BE9PT3799Vd69erFxYsXiYiIYNiwYezatYuAgAB27txJyZIlCQ4OZvbs2bi6uuLk5ETbtm05fPhwTp6OHOFRsjoXN8wl5ep5x7qsRvApVy/glNcPm83G9ZMHwRicPHwybWO/eh4Xr3wAJPyyhTyBqVM6Lj75SYqNJm/FBpgb10k+eRCfx1ve51FJdsruEXxA/sIcP/oLly6cxdc/kKjt6ylaomymbao++QyL5k7nelICLi6u7Ivcwgsd+2RrXTnFsgG/cuVK3nrrLQ4ePMjq1auZP38+mzdvZtq0abRs2ZKzZ8/Svn173nnnHXr37g2An58fzzzzDAChob9fxREWFsbAgQNZv349o0ePJjQ0lCFDMv7I169fPz744AO+/vpr8uTJk+4XNi+99BJ9+qS+iPLlvbNPFn9GvrU7EL/wX3e8/7WDG7kauQycnLC5uBHYYgQ2mw2A+MUTuH5sLymJl/ltegi+dbvgXaUJF9fOJvl0DNhsuPgWIF/T1PlT7+rPc27pFOI+ewUw5H3sWVwLlHwQhykPyNa1S5n1/htcvniOd4Z2pWS5Srw15RsA+rZ+nMRrV7Hbk9m2fjmhH3zDIyUfpUOvoYx6uTUuLi7kL1SMgW9+kGlfXj5+tOjUlxG9ngObjRq1G/F4ncY5edjZxgaYnC7iQXFycuLpp5+mQYMG9O3bl7Fjx/Lvf/+bmJgYIHUqJi4ujqZNmxIREUFoaCjr168HUgP+6tWrzJw5k7179xIUlDoqLFWqFN9++y01atTIcATfqVMn3njjDcLCwli4cGGWo/eo4xdo8eGmB3sy5E9rcqvHc7oEycUecdw5MlYAAAzVSURBVDnOE088ke42y47gAW7evMm6detYt24de/fu5ZVXXuHnn3/mqaeeSnf/a9eu3VX/drsdJ6fUK03d3X//pYh58+axbds2nn/+eVasWMGLL75IRETEvR+IiMg9sOx18OXKlaNMmd+vea1atSr79+8nf/781KpVCwAXFxeCg4Mz7efy5ctcuHCBunXrAtCtWzfWrVsHwNGjR6lRowYA7dq1c7QpWbIkMTExTJs2jcWLF1O5cta/wSkikt0sO4L38vJi2rRp+Pn5YbfbOXz4MH369GHGjBlMnToVX19fXFxcmDJlCvv27cu0r5CQEMeXrDExMfTs2ROA9957j/DwcLp168aaNWsc+3fo0IGuXbty48YNTp06xZgxYx7osYqIpMfSc/B/FpqDl8xoDl4yk9kcvGWnaERE/uoU8CIiFqWAFxGxKAW8iIhFKeBFRCxKAS8iYlEKeBERi1LAi4hYlAJeRMSiFPAiIhalgBcRsSgFvIiIRSngRUQsSgEvImJRCngREYtSwIuIWJQCXkTEohTwIiIWpYAXEbEoBbyIiEUp4EVELEoBLyJiUQp4ERGLUsCLiFiUAl5ExKIU8CIiFqWAFxGxKAW8iIhFKeBFRCxKAS8iYlEKeBERi1LAi4hYlAJeRMSiFPAiIhalgBcRsSgFvIiIRSngRUQsSgEvImJRCngREYtSwIuIWJQCXkTEohTwIiIWpYAXEbEoBbyIiEUp4EVELEoBLyJiUQp4ERGLUsCLiFiUAl5ExKIU8CIiFqWAFxGxKAW8iIhFKeBFRCxKAS8iYlEKeBERi1LAi4hYlAJeRMSiFPAiIhalgBcRsSgFvIiIRSngRUQsSgEvImJRNsDkdBF/dWfOnCE2Njany8g1AgMDOXv2bE6XIbmUXh9pBQUFUaBAgXS3KeAl19mxYwdPPPFETpchuZReH3dOUzQiIhalgBcRsShn4O2cLkLkf+3evTunS5BcTK+PO6M5eBERi9IUjYiIRSngRUQsSgEvd8QYw3vvved4PHToUEJDQzNt07JlSypUqJDutnLlyhEREUFkZCT79u3j008/veuaNm3adNdtJGeNHDmSn376iaioKCIjI6lZs+Ydt+3bty/dunV7gNVZk9GiJaslMTHRxMTEmICAAAOYoUOHmtDQ0EzbzJ4927Rt2zbdbcuXLzctWrRwPK5UqdId1+Lk5JTj50PL3S+1atUymzdvNq6urgYwAQEBpnDhwnfU1tnZOcfr/zMuGsHLHbHb7cyYMYMhQ4bctq148eKsXr2aqKgoVq9ezSOPPELt2rVp0aIFEydOJDIyklKlSqVpU7hwYX777TfH459++gkAJycnJkyYwPbt24mKiqJPnz4A1K9fnzVr1vDVV1+xd+9eAK5cueJoP2HCBPbu3Ut0dDTt27d3tPnhhx8c+0ybNo2QkBAAxo0bx88//0xUVBQTJ07MjlMkWShcuDBnz54lOTkZgHPnzhEXF0f16tVZu3YtO3fuZPny5RQqVAiAiIgI3nnnHdauXcurr75KaGgoQ4cOBaBKlSps2bKFqKgoFi5ciJ+fn6NNjRo1AAgICODIkSMABAcHs23bNiIjI4mKiqJMmTIP+/BzTI6/y2jJ/cuVK1eMt7e3OXLkiPHx8Ukzgl+8eLHp3r27AUzPnj3NokWLDGQ+gu/Ro4e5ePGiWbp0qRk8eLDx9fU1gHnppZfMG2+8YQDj6upqduzYYUqUKGHq169vrl69akqUKJGmJsC0adPGrFy50jg5OZkCBQqY2NhYU6hQIVO/fn3zww8/OPafNm2aCQkJMf7+/ubAgQOO9beeW8uDXfLmzWsiIyPNwYMHzfTp0029evWMi4uL2bRpkwkMDDSAad++vfnss88MYCIiIsz06dMd7UNDQ83QoUMNYKKioky9evUMYEaPHm0mT57saFOjRg0DqZ8Qjhw5YgAzdepU07lzZwOYPHnyGHd39xw/Hw9j0Qhe7tiVK1cICwtj0KBBadbXrl2br7/+GoA5c+ZQt27dLPv64osvqFChAt9++y3PPPMMW7duxdXVlSZNmtC9e3ciIyPZtm0bAQEBlC1bFoDt27dz9OjR2/qqW7cu8+bN4+bNm5w5c4Z169Zl+qvsly9fJikpiVmzZtG6dWsSEhLu4izIvbp27Ro1atSgT58+xMfHM3/+fPr27UulSpVYtWoVkZGRjBo1imLFijnazJ8//7Z+fHx88PPzY/369QB8+eWX1KtXL9Pn3rJlCyNHjmTEiBEEBQWRlJSUvQeXSyng5a5MmTKF3r17kzdv3gz3McbcUV9xcXHMnj2bVq1aYbfbqVSpEjabjYEDB1KtWjWqVatGqVKlWLVqFZAaEOmx2Wzprrfb7Tg5/f4Sd3d3ByAlJYWaNWuyYMECWrVqxfLly++oXrl/N2/eZN26dbz99tsMGDCAtm3b8vPPPzt+3pUrV6Zp06aO/TP6mWfkjz/zWz9vgHnz5tGiRQsSExNZsWIFDRo0yJ4DyuUU8HJXLly4QHh4OL1793as27x5Mx07dgSgS5cubNy4EUgd8Xt7e6fbT9OmTXFxcQGgYMGCBAQEcOLECVasWMHLL7/s2Fa2bFk8PT0zrWn9+vV06NABJycnAgMDqVevHtu3byc2Npbg4GBcXV3x8fGhUaNGAOTNmxdfX1+WLVvG4MGDqVq16v2dFLkj5cqVSzP3XbVqVfbv30/+/PmpVasWAC4uLgQHB2faz+XLl7lw4YLjk2K3bt1Yt24dAEePHnXMwbdr187RpmTJksTExDBt2jQWL15M5cqVs/XYciuXnC5A/nwmTZrEgAEDHI8HDRrE559/zvDhw4mPj6dnz54AfPPNN8ycOZNBgwbRrl07YmJiHG2aNGnCBx984PioPHz4cE6fPs2sWbMoUaIEu3fvxmazER8fT6tWrTKtZ9GiRdSuXZuoqCiMMYwYMYLTp08DEB4eTnR0NIcOHSIyMhIAb29vvv/+e9zd3bHZbOl+cSzZz8vLi2nTpuHn54fdbufw4cP06dOHGTNmMHXqVHx9fXFxcWHKlCns27cv075CQkL45JNP8PT0JCYmxvGae++99wgPD6dbt26sWbPGsX+HDh3o2rUrN27c4NSpU4wZM+aBHmtuoVsViIhYlKZoREQsSgEvImJRCngREYtSwIuIWJQCXkTEohTwItnEbrcTGRnJ3r17CQ8Px8PD4577+uN9dJo3b87rr7+e4b6+vr68/PLLd/0cf7y3i1iTAl4kmyQmJlKtWjUee+wxkpOT6dev3237ZPRbt5n54YcfGD9+fIbb/fz86N+//133K9angBd5ADZs2ECZMmUICgpi3759TJ8+nd27d/PII4/QuHFjNm/ezK5duwgPD3fc9qFp06bs37+fDRs20KZNG0dfISEhTJs2DYACBQqwcOFC9uzZw549e6hduzbvvvsupUuXJjIykgkTJgAwbNgwxx053377bUdfI0eO5MCBA6xatYpHH3304Z0QyTE5fsczLVqssNy6u6Wzs7P57rvvTL9+/UxQUJBJSUkxTz75pIHUOxyuW7fOeHp6GsCMGDHCvPnmm8bNzc0cO3bMlClTxgBm/vz5jjthhoSEmGnTphnAfPPNN+bVV181kHpffB8fHxMUFGT27t3rqKNx48bm008/NYCx2Wzmhx9+ME8//bSpXr26iY6ONh4eHsbb29scOnTIcXdGLdZcdKsCkWzi4eHhuB3Chg0b+OyzzyhSpAixsbFs27YNgFq1ahEcHOz4a1Surq5s2bKF8uXLc+TIEQ4fPgzA3LlzHffC/6OGDRvSvXt3IPXGXZcvX8bf3z/NPk2aNKFJkyaOWry8vChbtize3t4sWrSIxMREABYvXvwAzoLkJgp4kWxyaw7+f/3xjog2m41Vq1bRuXPnNPtUqVLlju/CmRWbzca4ceOYMWNGmvWvvvpqtj2H/DloDl7kIdq6dSt16tShdOnSQOqov2zZshw4cICSJUs6/vJVp06d0m3/448/Oq6YcXJywtvb+7a7dq5YsYJevXo55vaLFClC/vz5Wb9+Pa1bt8bd3R0vLy+aN2/+IA9VcgEFvMhDdPbsWXr06MG8efOIiopi69atlC9fnuvXr9OnTx/++9//smHDBmJjY9Nt/+qrr9KgQQOio6PZtWsXFStW5Pz582zatIm9e/cyYcIEVq1axddff82WLVuIjo7mP//5D97e3kRGRjJ//nz27NnDggUL2LBhw0M+ennYdDdJERGL0gheRMSiFPAiIhalgBcRsSgFvIiIRSngRUQsSgEvImJRCngREYtSwIuIWJQCXkTEohTwIiIWpYAXEbEoBbyIiEUp4EVELEoBLyJiUQp4ERGLUsCLiFiUAl5ExKIU8CIiFqWAFxGxqP8DjcPPYxzhopMAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 1080x360 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"****************************************\n"
]
}
],
"source": [
"#Try modeling using different classification models\n",
"classifiers2 = [\n",
" BalancedBaggingClassifier(max_features=X.shape[1], n_estimators=500, replacement=True,\n",
" sampling_strategy='majority', random_state=42),\n",
" EasyEnsembleClassifier(n_estimators=500, random_state=42, replacement=True,\n",
" sampling_strategy='majority'),\n",
" BalancedRandomForestClassifier(criterion='entropy', max_depth=40,min_samples_leaf = 1, \n",
" max_features=X.shape[1], sampling_strategy='majority', \n",
" replacement=True, min_samples_split=8, n_estimators=500,\n",
" random_state=42)]\n",
"\n",
"#putting results in df\n",
"res_cols2=[\"Classifier\", \"Accuracy\", \"Log Loss\", \"Cross Val\", \"Recall\", \"Roc Auc\",\"F1\", \n",
" \"False Positive Rate\", \"Error Rate\"]\n",
"results2 = pd.DataFrame(columns=res_cols2)\n",
"\n",
"for clf2 in classifiers2:\n",
" clf2.fit(X_train, y_train)\n",
" name2 = clf2.__class__.__name__\n",
" \n",
" print(\"\\n\"*3)\n",
" print(name2,\"Results:\")\n",
" \n",
" print('~'*40)\n",
" y_pred2 = clf2.predict(X_test)\n",
" acc2 = accuracy_score(y_test, y_pred2)\n",
" print(\"Accuracy: {:.4%}\".format(acc2))\n",
" \n",
" cv2= np.mean(cross_val_score(clf2, X_train, y_train, cv=3))\n",
" print(\"Cross validation scores:\",cv2)\n",
" \n",
" \n",
" train_predictions2 = clf2.predict_proba(X_test)\n",
" logloss2 = log_loss(y_test, train_predictions2)\n",
" print(\"Log Loss: {}\".format(logloss2))\n",
" \n",
" cm2 = confusion_matrix(y_test, y_pred2)\n",
" \n",
" cm_plot(cm2)\n",
" \n",
" #FPR and Error Rate setup\n",
" tn, fp, fn, tp = confusion_matrix(y_test,y_pred2).ravel()\n",
" \n",
" fpr2 = fp/(tn+fp)\n",
" ers2 = 1-acc\n",
" rec2= recall_score(y_test, y_pred2)\n",
" roc2=roc_auc_score(y_test, y_pred2)\n",
" f1s2=f1_score(y_test, y_pred2)\n",
" results_final2 = pd.DataFrame([[name2, round(acc2*100,3), round(logloss2,3), \n",
" round(cv2*100,3), round(rec2*100,3), round(roc2*100,3),\n",
" round(f1s2*100,3),round(fpr2*100,3),round(ers2*100,3)]],\n",
" columns=res_cols2)\n",
" results2 = results2.append(results_final2)\n",
" \n",
"print(\"*\"*40)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Results 2 Shape (3, 9)\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Classifier</th>\n",
" <th>Accuracy</th>\n",
" <th>Log Loss</th>\n",
" <th>Cross Val</th>\n",
" <th>Recall</th>\n",
" <th>Roc Auc</th>\n",
" <th>F1</th>\n",
" <th>False Positive Rate</th>\n",
" <th>Error Rate</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>BalancedBaggingClassifier</td>\n",
" <td>78.532</td>\n",
" <td>0.508</td>\n",
" <td>78.357</td>\n",
" <td>51.820</td>\n",
" <td>67.015</td>\n",
" <td>36.874</td>\n",
" <td>17.791</td>\n",
" <td>33.201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>EasyEnsembleClassifier</td>\n",
" <td>66.609</td>\n",
" <td>0.690</td>\n",
" <td>66.776</td>\n",
" <td>65.076</td>\n",
" <td>65.948</td>\n",
" <td>32.048</td>\n",
" <td>33.180</td>\n",
" <td>33.201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>BalancedRandomForestClassifier</td>\n",
" <td>67.279</td>\n",
" <td>0.608</td>\n",
" <td>67.113</td>\n",
" <td>69.612</td>\n",
" <td>68.285</td>\n",
" <td>33.986</td>\n",
" <td>33.043</td>\n",
" <td>33.201</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Classifier Accuracy Log Loss Cross Val Recall \\\n",
"0 BalancedBaggingClassifier 78.532 0.508 78.357 51.820 \n",
"0 EasyEnsembleClassifier 66.609 0.690 66.776 65.076 \n",
"0 BalancedRandomForestClassifier 67.279 0.608 67.113 69.612 \n",
"\n",
" Roc Auc F1 False Positive Rate Error Rate \n",
"0 67.015 36.874 17.791 33.201 \n",
"0 65.948 32.048 33.180 33.201 \n",
"0 68.285 33.986 33.043 33.201 "
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(\"Results 2 Shape\",results2.shape)\n",
"results2.head(10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We will now combine the dataframes from both methods into one datframe for analyzing and visualizations"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Shape (8, 9)\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Classifier</th>\n",
" <th>Accuracy</th>\n",
" <th>Log Loss</th>\n",
" <th>Cross Val</th>\n",
" <th>Recall</th>\n",
" <th>Roc Auc</th>\n",
" <th>F1</th>\n",
" <th>False Positive Rate</th>\n",
" <th>Error Rate</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>BaggingClassifier</td>\n",
" <td>66.973</td>\n",
" <td>0.616</td>\n",
" <td>68.713</td>\n",
" <td>69.082</td>\n",
" <td>67.882</td>\n",
" <td>33.607</td>\n",
" <td>33.318</td>\n",
" <td>33.027</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>AdaBoostClassifier</td>\n",
" <td>66.745</td>\n",
" <td>0.688</td>\n",
" <td>65.729</td>\n",
" <td>64.045</td>\n",
" <td>65.581</td>\n",
" <td>31.789</td>\n",
" <td>32.884</td>\n",
" <td>33.255</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>RandomForestClassifier</td>\n",
" <td>67.088</td>\n",
" <td>0.612</td>\n",
" <td>68.849</td>\n",
" <td>68.864</td>\n",
" <td>67.854</td>\n",
" <td>33.614</td>\n",
" <td>33.156</td>\n",
" <td>32.912</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>LGBMClassifier</td>\n",
" <td>67.812</td>\n",
" <td>0.597</td>\n",
" <td>67.968</td>\n",
" <td>68.346</td>\n",
" <td>68.042</td>\n",
" <td>33.943</td>\n",
" <td>32.261</td>\n",
" <td>32.188</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>XGBClassifier</td>\n",
" <td>66.799</td>\n",
" <td>0.658</td>\n",
" <td>68.793</td>\n",
" <td>69.819</td>\n",
" <td>68.101</td>\n",
" <td>33.727</td>\n",
" <td>33.616</td>\n",
" <td>33.201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>BalancedBaggingClassifier</td>\n",
" <td>78.532</td>\n",
" <td>0.508</td>\n",
" <td>78.357</td>\n",
" <td>51.820</td>\n",
" <td>67.015</td>\n",
" <td>36.874</td>\n",
" <td>17.791</td>\n",
" <td>33.201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>EasyEnsembleClassifier</td>\n",
" <td>66.609</td>\n",
" <td>0.690</td>\n",
" <td>66.776</td>\n",
" <td>65.076</td>\n",
" <td>65.948</td>\n",
" <td>32.048</td>\n",
" <td>33.180</td>\n",
" <td>33.201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>BalancedRandomForestClassifier</td>\n",
" <td>67.279</td>\n",
" <td>0.608</td>\n",
" <td>67.113</td>\n",
" <td>69.612</td>\n",
" <td>68.285</td>\n",
" <td>33.986</td>\n",
" <td>33.043</td>\n",
" <td>33.201</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Classifier Accuracy Log Loss Cross Val Recall \\\n",
"0 BaggingClassifier 66.973 0.616 68.713 69.082 \n",
"0 AdaBoostClassifier 66.745 0.688 65.729 64.045 \n",
"0 RandomForestClassifier 67.088 0.612 68.849 68.864 \n",
"0 LGBMClassifier 67.812 0.597 67.968 68.346 \n",
"0 XGBClassifier 66.799 0.658 68.793 69.819 \n",
"0 BalancedBaggingClassifier 78.532 0.508 78.357 51.820 \n",
"0 EasyEnsembleClassifier 66.609 0.690 66.776 65.076 \n",
"0 BalancedRandomForestClassifier 67.279 0.608 67.113 69.612 \n",
"\n",
" Roc Auc F1 False Positive Rate Error Rate \n",
"0 67.882 33.607 33.318 33.027 \n",
"0 65.581 31.789 32.884 33.255 \n",
"0 67.854 33.614 33.156 32.912 \n",
"0 68.042 33.943 32.261 32.188 \n",
"0 68.101 33.727 33.616 33.201 \n",
"0 67.015 36.874 17.791 33.201 \n",
"0 65.948 32.048 33.180 33.201 \n",
"0 68.285 33.986 33.043 33.201 "
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ml_results = pd.concat([results,results2])\n",
"print(\"Shape\",ml_results.shape)\n",
"ml_results.head(10)"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"#save to csv\n",
"ml_results.to_csv('ml_results.csv')"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 792x1296 with 8 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#Visualize scores for all model\n",
"\n",
"fig, ax =plt.subplots(nrows=8, ncols=1, figsize = (11,18))\n",
"plt.style.use('dark_background')\n",
"sns.barplot(x='Accuracy', y='Classifier', data=ml_results, palette='plasma', ax=ax[0])\n",
"sns.barplot(x='Log Loss', y='Classifier', data=ml_results, palette='plasma', ax=ax[1])\n",
"sns.barplot(x='Cross Val', y='Classifier', data=ml_results, palette='plasma', ax=ax[2])\n",
"sns.barplot(x='Recall', y='Classifier', data=ml_results, palette='plasma', ax=ax[3])\n",
"sns.barplot(x='Roc Auc', y='Classifier', data=ml_results, palette='plasma', ax=ax[4])\n",
"sns.barplot(x='F1', y='Classifier', data=ml_results, palette='plasma', ax=ax[5])\n",
"sns.barplot(x='False Positive Rate', y='Classifier', data=ml_results, palette='plasma', ax=ax[6])\n",
"sns.barplot(x='Error Rate', y='Classifier', data=ml_results, palette='plasma', ax=ax[7])\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Choice\n",
"\n",
"Based on the visualizations above, Balanced Bagging Classifier from imblearn is the algorithm of choice for this data. While some of the scores may have been close, Balanced Bagging Classifier had higher scores in Accuracy, Cross Validation, and Specificity. The algorithm also had the lower Error Rate and False Positive Rates of the group."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Balanced Bagging Classifier with LightGBM\n",
"Balanced Bagging Classifier performed thest best of the classifiers, however, I was not comfortable with how close its predictions were for Serious Accidents in the confusion matrix. Due to this, I decided to combine Balanced Bagging Classifier with the second highest performing algorithm, LightGBM to see what results I would get."
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x360 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cross Val Score was 69.67%. It was commented out here to save time when re-running.\n",
"Check UK_Road_Safety_Traffic_Accidents_and_Vehicles(old).ipynb to see proof\n",
"\n",
"\n",
"\n",
"Resampled Balanced Bagging with LightGBM Time: 6522.161206007004\n"
]
}
],
"source": [
"#start\n",
"start_res_bbag_w_lgbm = time.time()\n",
"\n",
"# Balanced Bagging Classifier\n",
"res_bbag_w_lgbm = BalancedBaggingClassifier(base_estimator=LGBMClassifier(learning_rate =0.03, \n",
" max_depth=40, \n",
" min_data_in_leaf=10,\n",
" n_estimators=500, \n",
" num_leaves=50, \n",
" random_state = 42), \n",
" max_features=X.shape[1], n_estimators=500, \n",
" replacement=True, sampling_strategy='majority', \n",
" random_state=42)\n",
"\n",
"res_bbag_w_lgbm.fit(X_train, y_train)\n",
"pred_res_bbag_w_lgbm = res_bbag_w_lgbm.predict(X_test)\n",
"\n",
" \n",
"# Creates a confusion matrix\n",
"res_bbag_w_lgbm_cm = confusion_matrix(y_test,pred_res_bbag_w_lgbm)\n",
"\n",
"# Transform to df for easier plotting\n",
"res_bbag_w_lgbm_cm_df = pd.DataFrame(res_bbag_w_lgbm_cm,\n",
" index = ['Not Serious','Serious'], \n",
" columns = ['Not Serious','Serious'])\n",
"\n",
"plt.figure(figsize=(15,5))\n",
"plt.style.use('dark_background')\n",
"sns.heatmap(res_bbag_w_lgbm_cm_df, annot=True, fmt=\"d\", cmap='viridis', linecolor='black', linewidths=1)\n",
"plt.title('Resampled Balanced Bagging with LightGBM Accuracy: {0:.2f}%'.format(accuracy_score(y_test,pred_res_bbag_w_lgbm )*100),\n",
" fontsize=15)\n",
"plt.ylabel('Actual\\n')\n",
"plt.xlabel('Predicted\\n')\n",
"plt.show()\n",
"# print(\"Resampled Balanced Bagging with LightGBM Classifier Cross Validation Score: {:0.2f}%\"\n",
"# .format(np.mean(cross_val_score(res_bbag_w_lgbm, X_train, y_train, cv=3)*100)))\n",
"print('Cross Val Score was 69.67%. It was commented out here to save time when re-running.') \n",
"print('Check UK_Road_Safety_Traffic_Accidents_and_Vehicles(old).ipynb to see proof')\n",
"print('\\n')\n",
"#end\n",
"end_res_bbag_w_lgbm = time.time()\n",
"print(\"\\nResampled Balanced Bagging with LightGBM Time: \",end_res_bbag_w_lgbm - start_res_bbag_w_lgbm)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Resampled Balanced Bagging Classifier with LightGBM Specificity Score: 69.43%\n",
"Resampled Balanced Bagging Classifier with LightGBM False Positive Rate Score: 30.57%\n",
"Resampled Balanced Bagging Classifier with LightGBM Error Rate Score: 30.86%\n",
"Resampled Balanced Bagging Classifier with LightGBM Accuracy Score: 69.14%\n",
"Resampled Balanced Bagging Classifier with LightGBM F1 Score: 57.14%\n",
"Resampled Balanced Bagging Classifier with LightGBM Precision Scoreres_: 58.53%\n",
"Resampled Balanced Bagging Classifier with LightGBM Recall Score: 68.24%\n",
"Resampled Balanced Bagging Classifier with LightGBM Roc Auc Score: 68.24%\n",
"Resampled Balanced Bagging Classifier with LightGBM Log Loss 58.23%\n"
]
}
],
"source": [
"#extracting true_positives, false_positives, true_negatives, false_negatives\n",
"tn, fp, fn, tp = confusion_matrix(y_test,pred_res_bbag_w_lgbm).ravel()\n",
"\n",
"accuracy = accuracy_score(y_test,pred_res_bbag_w_lgbm)*100\n",
"specificity = tn/(tn+fp)*100\n",
"fpr = fp/(tn+fp)*100\n",
"ers = 100-accuracy\n",
"\n",
"\n",
"train_predictions2 = res_bbag_w_lgbm.predict_proba(X_test)\n",
"\n",
"\n",
"print(\"Resampled Balanced Bagging Classifier with LightGBM Specificity Score: {0:.2f}%\".format(specificity))\n",
"print(\"Resampled Balanced Bagging Classifier with LightGBM False Positive Rate Score: {0:.2f}%\".format(fpr))\n",
"print(\"Resampled Balanced Bagging Classifier with LightGBM Error Rate Score: {0:.2f}%\".format(ers))\n",
"\n",
"#Check scores\n",
"print(\"Resampled Balanced Bagging Classifier with LightGBM Accuracy Score: {:0.2f}%\"\n",
" .format(accuracy_score(y_test,pred_res_bbag_w_lgbm )*100))\n",
"print(\"Resampled Balanced Bagging Classifier with LightGBM F1 Score: {:0.2f}%\"\n",
" .format(f1_score(y_test, pred_res_bbag_w_lgbm,average=\"macro\")*100))\n",
"print(\"Resampled Balanced Bagging Classifier with LightGBM Precision Scoreres_: {:0.2f}%\"\n",
" .format(precision_score(y_test, pred_res_bbag_w_lgbm, average=\"macro\")*100))\n",
"print(\"Resampled Balanced Bagging Classifier with LightGBM Recall Score: {:0.2f}%\"\n",
" .format(recall_score(y_test, pred_res_bbag_w_lgbm, average=\"macro\")*100))\n",
"print(\"Resampled Balanced Bagging Classifier with LightGBM Roc Auc Score: {0:.2f}%\"\n",
" .format(roc_auc_score(y_test, pred_res_bbag_w_lgbm)*100))\n",
"print(\"Resampled Balanced Bagging Classifier with LightGBM Log Loss {0:.2f}%\"\n",
" .format(log_loss(y_test, train_predictions2)*100))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The results were better than the other learning algorithms but lower accuracy wise than the previous Balanced Bagging Algorithm. Taking all of that into consideration, I have decided that depending on what was the goal, either Balanced Bagging Classifier algorithm could be used. If I were more concerned with overall accuracy, the regular Balanced Bagging Classifier would be used. If I were more concerned with making sure \"Serious\" predictions were achieved, Balanced Bagging Classifier with LightGBM would be used."
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"ml_results = ml_results.append(pd.Series([\"BalancedBaggingClassifierW/LGBM\", 69.140,0.582,\n",
" 69.670,68.240,68.240,57.140,30.570,30.860],\n",
" index=ml_results.columns),ignore_index=True)"
]
},
{
"cell_type": "code",
"execution_count": 66,
"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>Classifier</th>\n",
" <th>Accuracy</th>\n",
" <th>Log Loss</th>\n",
" <th>Cross Val</th>\n",
" <th>Recall</th>\n",
" <th>Roc Auc</th>\n",
" <th>F1</th>\n",
" <th>False Positive Rate</th>\n",
" <th>Error Rate</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>BaggingClassifier</td>\n",
" <td>66.973</td>\n",
" <td>0.616</td>\n",
" <td>68.713</td>\n",
" <td>69.082</td>\n",
" <td>67.882</td>\n",
" <td>33.607</td>\n",
" <td>33.318</td>\n",
" <td>33.027</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>AdaBoostClassifier</td>\n",
" <td>66.745</td>\n",
" <td>0.688</td>\n",
" <td>65.729</td>\n",
" <td>64.045</td>\n",
" <td>65.581</td>\n",
" <td>31.789</td>\n",
" <td>32.884</td>\n",
" <td>33.255</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>RandomForestClassifier</td>\n",
" <td>67.088</td>\n",
" <td>0.612</td>\n",
" <td>68.849</td>\n",
" <td>68.864</td>\n",
" <td>67.854</td>\n",
" <td>33.614</td>\n",
" <td>33.156</td>\n",
" <td>32.912</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>LGBMClassifier</td>\n",
" <td>67.812</td>\n",
" <td>0.597</td>\n",
" <td>67.968</td>\n",
" <td>68.346</td>\n",
" <td>68.042</td>\n",
" <td>33.943</td>\n",
" <td>32.261</td>\n",
" <td>32.188</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>XGBClassifier</td>\n",
" <td>66.799</td>\n",
" <td>0.658</td>\n",
" <td>68.793</td>\n",
" <td>69.819</td>\n",
" <td>68.101</td>\n",
" <td>33.727</td>\n",
" <td>33.616</td>\n",
" <td>33.201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>BalancedBaggingClassifier</td>\n",
" <td>78.532</td>\n",
" <td>0.508</td>\n",
" <td>78.357</td>\n",
" <td>51.820</td>\n",
" <td>67.015</td>\n",
" <td>36.874</td>\n",
" <td>17.791</td>\n",
" <td>33.201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>EasyEnsembleClassifier</td>\n",
" <td>66.609</td>\n",
" <td>0.690</td>\n",
" <td>66.776</td>\n",
" <td>65.076</td>\n",
" <td>65.948</td>\n",
" <td>32.048</td>\n",
" <td>33.180</td>\n",
" <td>33.201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>BalancedRandomForestClassifier</td>\n",
" <td>67.279</td>\n",
" <td>0.608</td>\n",
" <td>67.113</td>\n",
" <td>69.612</td>\n",
" <td>68.285</td>\n",
" <td>33.986</td>\n",
" <td>33.043</td>\n",
" <td>33.201</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>BalancedBaggingClassifierW/LGBM</td>\n",
" <td>69.140</td>\n",
" <td>0.582</td>\n",
" <td>69.670</td>\n",
" <td>68.240</td>\n",
" <td>68.240</td>\n",
" <td>57.140</td>\n",
" <td>30.570</td>\n",
" <td>30.860</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Classifier Accuracy Log Loss Cross Val Recall \\\n",
"0 BaggingClassifier 66.973 0.616 68.713 69.082 \n",
"1 AdaBoostClassifier 66.745 0.688 65.729 64.045 \n",
"2 RandomForestClassifier 67.088 0.612 68.849 68.864 \n",
"3 LGBMClassifier 67.812 0.597 67.968 68.346 \n",
"4 XGBClassifier 66.799 0.658 68.793 69.819 \n",
"5 BalancedBaggingClassifier 78.532 0.508 78.357 51.820 \n",
"6 EasyEnsembleClassifier 66.609 0.690 66.776 65.076 \n",
"7 BalancedRandomForestClassifier 67.279 0.608 67.113 69.612 \n",
"8 BalancedBaggingClassifierW/LGBM 69.140 0.582 69.670 68.240 \n",
"\n",
" Roc Auc F1 False Positive Rate Error Rate \n",
"0 67.882 33.607 33.318 33.027 \n",
"1 65.581 31.789 32.884 33.255 \n",
"2 67.854 33.614 33.156 32.912 \n",
"3 68.042 33.943 32.261 32.188 \n",
"4 68.101 33.727 33.616 33.201 \n",
"5 67.015 36.874 17.791 33.201 \n",
"6 65.948 32.048 33.180 33.201 \n",
"7 68.285 33.986 33.043 33.201 \n",
"8 68.240 57.140 30.570 30.860 "
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ml_results.head(10)"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 792x1296 with 8 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#Visualize scores for all model\n",
"\n",
"fig, ax =plt.subplots(nrows=8, ncols=1, figsize = (11,18))\n",
"plt.style.use('dark_background')\n",
"sns.barplot(x='Accuracy', y='Classifier', data=ml_results, palette='plasma', ax=ax[0])\n",
"sns.barplot(x='Log Loss', y='Classifier', data=ml_results, palette='plasma', ax=ax[1])\n",
"sns.barplot(x='Cross Val', y='Classifier', data=ml_results, palette='plasma', ax=ax[2])\n",
"sns.barplot(x='Recall', y='Classifier', data=ml_results, palette='plasma', ax=ax[3])\n",
"sns.barplot(x='Roc Auc', y='Classifier', data=ml_results, palette='plasma', ax=ax[4])\n",
"sns.barplot(x='F1', y='Classifier', data=ml_results, palette='plasma', ax=ax[5])\n",
"sns.barplot(x='False Positive Rate', y='Classifier', data=ml_results, palette='plasma', ax=ax[6])\n",
"sns.barplot(x='Error Rate', y='Classifier', data=ml_results, palette='plasma', ax=ax[7])\n",
"plt.tight_layout()\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [],
"source": [
"ml_results.to_csv('ml_results_final_results.csv')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Genesis L. Taylor<br>\n",
"[Github](https://github.com/GenTaylor/) | [Linkedin](https://linkedin.com/in/genesistaylor/) | [Tableau](https://public.tableau.com/profile/genesis.taylor#!/) | [genesisltaylor@gmail.com](mailto:genesisltaylor@gmail.com)\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
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