Data preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "##Importing Libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import sklearn\n",
    "import matplotlib.pyplot as plt \n",
    "from sklearn import preprocessing "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Importing the dataset\n",
    "df = pd.read_csv('Data/Dataset.csv',header=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>Day_of_week</th>\n",
       "      <th>Age_band_of_driver</th>\n",
       "      <th>Sex_of_driver</th>\n",
       "      <th>Educational_level</th>\n",
       "      <th>Vehicle_driver_relation</th>\n",
       "      <th>Driving_experience</th>\n",
       "      <th>Type_of_vehicle</th>\n",
       "      <th>Owner_of_vehicle</th>\n",
       "      <th>Service_year_of_vehicle</th>\n",
       "      <th>...</th>\n",
       "      <th>Vehicle_movement</th>\n",
       "      <th>Casualty_class</th>\n",
       "      <th>Sex_of_casualty</th>\n",
       "      <th>Age_band_of_casualty</th>\n",
       "      <th>Casualty_severity</th>\n",
       "      <th>Work_of_casuality</th>\n",
       "      <th>Fitness_of_casuality</th>\n",
       "      <th>Pedestrian_movement</th>\n",
       "      <th>Cause_of_accident</th>\n",
       "      <th>Accident_severity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3977</th>\n",
       "      <td>16:00:00</td>\n",
       "      <td>Friday</td>\n",
       "      <td>18-30</td>\n",
       "      <td>Male</td>\n",
       "      <td>Junior high school</td>\n",
       "      <td>Employee</td>\n",
       "      <td>5-10yr</td>\n",
       "      <td>Automobile</td>\n",
       "      <td>Owner</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Going straight</td>\n",
       "      <td>na</td>\n",
       "      <td>na</td>\n",
       "      <td>na</td>\n",
       "      <td>na</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not a Pedestrian</td>\n",
       "      <td>Changing lane to the left</td>\n",
       "      <td>Slight Injury</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12066</th>\n",
       "      <td>1:05:00</td>\n",
       "      <td>Friday</td>\n",
       "      <td>31-50</td>\n",
       "      <td>Male</td>\n",
       "      <td>Elementary school</td>\n",
       "      <td>Employee</td>\n",
       "      <td>1-2yr</td>\n",
       "      <td>Lorry (41?100Q)</td>\n",
       "      <td>Owner</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Going straight</td>\n",
       "      <td>na</td>\n",
       "      <td>na</td>\n",
       "      <td>na</td>\n",
       "      <td>na</td>\n",
       "      <td>Driver</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Not a Pedestrian</td>\n",
       "      <td>Changing lane to the left</td>\n",
       "      <td>Slight Injury</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Time Day_of_week Age_band_of_driver Sex_of_driver  \\\n",
       "3977   16:00:00      Friday              18-30          Male   \n",
       "12066   1:05:00      Friday              31-50          Male   \n",
       "\n",
       "        Educational_level Vehicle_driver_relation Driving_experience  \\\n",
       "3977   Junior high school                Employee             5-10yr   \n",
       "12066   Elementary school                Employee              1-2yr   \n",
       "\n",
       "       Type_of_vehicle Owner_of_vehicle Service_year_of_vehicle  ...  \\\n",
       "3977        Automobile            Owner                     NaN  ...   \n",
       "12066  Lorry (41?100Q)            Owner                     NaN  ...   \n",
       "\n",
       "      Vehicle_movement Casualty_class Sex_of_casualty Age_band_of_casualty  \\\n",
       "3977    Going straight             na              na                   na   \n",
       "12066   Going straight             na              na                   na   \n",
       "\n",
       "      Casualty_severity Work_of_casuality Fitness_of_casuality  \\\n",
       "3977                 na               NaN                  NaN   \n",
       "12066                na            Driver               Normal   \n",
       "\n",
       "      Pedestrian_movement          Cause_of_accident Accident_severity  \n",
       "3977     Not a Pedestrian  Changing lane to the left     Slight Injury  \n",
       "12066    Not a Pedestrian  Changing lane to the left     Slight Injury  \n",
       "\n",
       "[2 rows x 32 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Dataset has 12316 rows and 32 columns\n"
     ]
    }
   ],
   "source": [
    "print(\"The Dataset has %d rows and %d columns\" % df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Cleansing\n",
    "* Handling Missing Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The dataset has total of 20057 Missing Values\n"
     ]
    }
   ],
   "source": [
    "print('The dataset has total of',df.isnull().sum().sum(),'Missing Values')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 12316 entries, 0 to 12315\n",
      "Data columns (total 32 columns):\n",
      " #   Column                       Non-Null Count  Dtype \n",
      "---  ------                       --------------  ----- \n",
      " 0   Time                         12316 non-null  object\n",
      " 1   Day_of_week                  12316 non-null  object\n",
      " 2   Age_band_of_driver           12316 non-null  object\n",
      " 3   Sex_of_driver                12316 non-null  object\n",
      " 4   Educational_level            11575 non-null  object\n",
      " 5   Vehicle_driver_relation      11737 non-null  object\n",
      " 6   Driving_experience           11487 non-null  object\n",
      " 7   Type_of_vehicle              11366 non-null  object\n",
      " 8   Owner_of_vehicle             11834 non-null  object\n",
      " 9   Service_year_of_vehicle      8388 non-null   object\n",
      " 10  Defect_of_vehicle            7889 non-null   object\n",
      " 11  Area_accident_occured        12077 non-null  object\n",
      " 12  Lanes_or_Medians             11931 non-null  object\n",
      " 13  Road_allignment              12174 non-null  object\n",
      " 14  Types_of_Junction            11429 non-null  object\n",
      " 15  Road_surface_type            12144 non-null  object\n",
      " 16  Road_surface_conditions      12316 non-null  object\n",
      " 17  Light_conditions             12316 non-null  object\n",
      " 18  Weather_conditions           12316 non-null  object\n",
      " 19  Type_of_collision            12161 non-null  object\n",
      " 20  Number_of_vehicles_involved  12316 non-null  int64 \n",
      " 21  Number_of_casualties         12316 non-null  int64 \n",
      " 22  Vehicle_movement             12008 non-null  object\n",
      " 23  Casualty_class               12316 non-null  object\n",
      " 24  Sex_of_casualty              12316 non-null  object\n",
      " 25  Age_band_of_casualty         12316 non-null  object\n",
      " 26  Casualty_severity            12316 non-null  object\n",
      " 27  Work_of_casuality            9118 non-null   object\n",
      " 28  Fitness_of_casuality         9681 non-null   object\n",
      " 29  Pedestrian_movement          12316 non-null  object\n",
      " 30  Cause_of_accident            12316 non-null  object\n",
      " 31  Accident_severity            12316 non-null  object\n",
      "dtypes: int64(2), object(30)\n",
      "memory usage: 3.0+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Defect_of_vehicle              35.945112\n",
       "Service_year_of_vehicle        31.893472\n",
       "Work_of_casuality              25.966223\n",
       "Fitness_of_casuality           21.394933\n",
       "Type_of_vehicle                 7.713543\n",
       "Types_of_Junction               7.202014\n",
       "Driving_experience              6.731082\n",
       "Educational_level               6.016564\n",
       "Vehicle_driver_relation         4.701202\n",
       "Owner_of_vehicle                3.913608\n",
       "Lanes_or_Medians                3.126015\n",
       "Vehicle_movement                2.500812\n",
       "Area_accident_occured           1.940565\n",
       "Road_surface_type               1.396557\n",
       "Type_of_collision               1.258525\n",
       "Road_allignment                 1.152972\n",
       "Sex_of_driver                   0.000000\n",
       "Age_band_of_driver              0.000000\n",
       "Day_of_week                     0.000000\n",
       "Accident_severity               0.000000\n",
       "Cause_of_accident               0.000000\n",
       "Road_surface_conditions         0.000000\n",
       "Light_conditions                0.000000\n",
       "Weather_conditions              0.000000\n",
       "Number_of_vehicles_involved     0.000000\n",
       "Number_of_casualties            0.000000\n",
       "Casualty_class                  0.000000\n",
       "Sex_of_casualty                 0.000000\n",
       "Age_band_of_casualty            0.000000\n",
       "Casualty_severity               0.000000\n",
       "Pedestrian_movement             0.000000\n",
       "Time                            0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().mean().sort_values(ascending=False)*100 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to calculate missing values by column\n",
    "def missing_values_table(df):\n",
    "        # Total missing values\n",
    "        mis_val = df.isnull().sum()\n",
    "        \n",
    "        # Percentage of missing values\n",
    "        mis_val_percent = 100 * df.isnull().sum() / len(df)\n",
    "        \n",
    "        # Make a table with the results\n",
    "        mis_val_table = pd.concat([mis_val, mis_val_percent], axis=1)\n",
    "        \n",
    "        # Rename the columns\n",
    "        mis_val_table_ren_columns = mis_val_table.rename(\n",
    "        columns = {0 : 'Missing Values', 1 : '% of Total Values'})\n",
    "        \n",
    "        # Sort the table by percentage of missing descending\n",
    "        mis_val_table_ren_columns = mis_val_table_ren_columns[\n",
    "            mis_val_table_ren_columns.iloc[:,1] != 0].sort_values(\n",
    "        '% of Total Values', ascending=False).round(1)\n",
    "        \n",
    "        # Print some summary information\n",
    "        print (\"The dataset has \" + str(df.shape[1]) + \" columns.\\n\"      \n",
    "            \"There are \" + str(mis_val_table_ren_columns.shape[0]) +\n",
    "              \" columns that have missing values.\")\n",
    "        \n",
    "        # Return the dataframe with missing information\n",
    "        return mis_val_table_ren_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The dataset has 32 columns.\n",
      "There are 16 columns that have missing values.\n"
     ]
    },
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Missing Values</th>\n",
       "      <th>% of Total Values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Defect_of_vehicle</th>\n",
       "      <td>4427</td>\n",
       "      <td>35.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Service_year_of_vehicle</th>\n",
       "      <td>3928</td>\n",
       "      <td>31.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Work_of_casuality</th>\n",
       "      <td>3198</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fitness_of_casuality</th>\n",
       "      <td>2635</td>\n",
       "      <td>21.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Type_of_vehicle</th>\n",
       "      <td>950</td>\n",
       "      <td>7.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Types_of_Junction</th>\n",
       "      <td>887</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Driving_experience</th>\n",
       "      <td>829</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Educational_level</th>\n",
       "      <td>741</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vehicle_driver_relation</th>\n",
       "      <td>579</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Owner_of_vehicle</th>\n",
       "      <td>482</td>\n",
       "      <td>3.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lanes_or_Medians</th>\n",
       "      <td>385</td>\n",
       "      <td>3.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vehicle_movement</th>\n",
       "      <td>308</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Area_accident_occured</th>\n",
       "      <td>239</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Road_surface_type</th>\n",
       "      <td>172</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Type_of_collision</th>\n",
       "      <td>155</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Road_allignment</th>\n",
       "      <td>142</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Missing Values  % of Total Values\n",
       "Defect_of_vehicle                  4427               35.9\n",
       "Service_year_of_vehicle            3928               31.9\n",
       "Work_of_casuality                  3198               26.0\n",
       "Fitness_of_casuality               2635               21.4\n",
       "Type_of_vehicle                     950                7.7\n",
       "Types_of_Junction                   887                7.2\n",
       "Driving_experience                  829                6.7\n",
       "Educational_level                   741                6.0\n",
       "Vehicle_driver_relation             579                4.7\n",
       "Owner_of_vehicle                    482                3.9\n",
       "Lanes_or_Medians                    385                3.1\n",
       "Vehicle_movement                    308                2.5\n",
       "Area_accident_occured               239                1.9\n",
       "Road_surface_type                   172                1.4\n",
       "Type_of_collision                   155                1.3\n",
       "Road_allignment                     142                1.2"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_values_table(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Handling Categorical Missing values \n",
    " We can see from the above info all the instances having missing values are Categorical.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time : 1074 catagories\n",
      "Day_of_week : 7 catagories\n",
      "Age_band_of_driver : 5 catagories\n",
      "Sex_of_driver : 3 catagories\n",
      "Educational_level : 8 catagories\n",
      "Vehicle_driver_relation : 5 catagories\n",
      "Driving_experience : 8 catagories\n",
      "Type_of_vehicle : 18 catagories\n",
      "Owner_of_vehicle : 5 catagories\n",
      "Service_year_of_vehicle : 7 catagories\n",
      "Defect_of_vehicle : 4 catagories\n",
      "Area_accident_occured : 15 catagories\n",
      "Lanes_or_Medians : 8 catagories\n",
      "Road_allignment : 10 catagories\n",
      "Types_of_Junction : 9 catagories\n",
      "Road_surface_type : 6 catagories\n",
      "Road_surface_conditions : 4 catagories\n",
      "Light_conditions : 4 catagories\n",
      "Weather_conditions : 9 catagories\n",
      "Type_of_collision : 11 catagories\n",
      "Number_of_vehicles_involved : 6 catagories\n",
      "Number_of_casualties : 8 catagories\n",
      "Vehicle_movement : 14 catagories\n",
      "Casualty_class : 4 catagories\n",
      "Sex_of_casualty : 3 catagories\n",
      "Age_band_of_casualty : 6 catagories\n",
      "Casualty_severity : 4 catagories\n",
      "Work_of_casuality : 8 catagories\n",
      "Fitness_of_casuality : 6 catagories\n",
      "Pedestrian_movement : 9 catagories\n",
      "Cause_of_accident : 20 catagories\n",
      "Accident_severity : 3 catagories\n"
     ]
    }
   ],
   "source": [
    "# Shows the columns with their number of catagories each variable is having\n",
    "for col in df.columns:\n",
    "    print(col, ':', len(df[col].unique()), 'catagories')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "### We will handle the catagorical missing value by replacing NaN values with a new catagory\n",
    "def impute_nan(df,variable):\n",
    "    df[variable]=np.where(df[variable].isnull(),\"Unknown\",df[variable])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Select all the attributes that have missing value and replace with \"Unknown\" Category\n",
    "for cat in ['Educational_level','Vehicle_driver_relation','Driving_experience','Type_of_vehicle','Owner_of_vehicle','Service_year_of_vehicle','Defect_of_vehicle','Area_accident_occured',\n",
    "            'Lanes_or_Medians','Road_allignment','Types_of_Junction','Road_surface_type','Type_of_collision','Vehicle_movement',\n",
    "            'Work_of_casuality','Fitness_of_casuality','Pedestrian_movement']: impute_nan(df,cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 Missing value: All the missing values are handled\n"
     ]
    }
   ],
   "source": [
    "print(df.isnull().sum().sum(),\"Missing value: All the missing values are handled\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature Selection\n",
    "From the total 32 features 15 features are selected by discussing with domain experts and understanding the problem domain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Dropping the remaining variables\n",
    "data.drop(['Time','Day_of_week','Type_of_vehicle','Owner_of_vehicle','Service_year_of_vehicle','Defect_of_vehicle','Area_accident_occured','Road_allignment',\n",
    "        'Road_surface_conditions','Number_of_vehicles_involved','Number_of_casualties','Casualty_class','Sex_of_casualty','Age_band_of_casualty',\n",
    "        'Work_of_casuality','Fitness_of_casuality','Casualty_severity'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>Age_band_of_driver</th>\n",
       "      <th>Sex_of_driver</th>\n",
       "      <th>Educational_level</th>\n",
       "      <th>Vehicle_driver_relation</th>\n",
       "      <th>Driving_experience</th>\n",
       "      <th>Lanes_or_Medians</th>\n",
       "      <th>Types_of_Junction</th>\n",
       "      <th>Road_surface_type</th>\n",
       "      <th>Light_conditions</th>\n",
       "      <th>Weather_conditions</th>\n",
       "      <th>Type_of_collision</th>\n",
       "      <th>Vehicle_movement</th>\n",
       "      <th>Pedestrian_movement</th>\n",
       "      <th>Cause_of_accident</th>\n",
       "      <th>Accident_severity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18-30</td>\n",
       "      <td>Male</td>\n",
       "      <td>Above high school</td>\n",
       "      <td>Employee</td>\n",
       "      <td>1-2yr</td>\n",
       "      <td>Unknown</td>\n",
       "      <td>No junction</td>\n",
       "      <td>Asphalt roads</td>\n",
       "      <td>Daylight</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Collision with roadside-parked vehicles</td>\n",
       "      <td>Going straight</td>\n",
       "      <td>Not a Pedestrian</td>\n",
       "      <td>Moving Backward</td>\n",
       "      <td>Slight Injury</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>31-50</td>\n",
       "      <td>Male</td>\n",
       "      <td>Junior high school</td>\n",
       "      <td>Employee</td>\n",
       "      <td>Above 10yr</td>\n",
       "      <td>Undivided Two way</td>\n",
       "      <td>No junction</td>\n",
       "      <td>Asphalt roads</td>\n",
       "      <td>Daylight</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Vehicle with vehicle collision</td>\n",
       "      <td>Going straight</td>\n",
       "      <td>Not a Pedestrian</td>\n",
       "      <td>Overtaking</td>\n",
       "      <td>Slight Injury</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18-30</td>\n",
       "      <td>Male</td>\n",
       "      <td>Junior high school</td>\n",
       "      <td>Employee</td>\n",
       "      <td>1-2yr</td>\n",
       "      <td>other</td>\n",
       "      <td>No junction</td>\n",
       "      <td>Asphalt roads</td>\n",
       "      <td>Daylight</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Collision with roadside objects</td>\n",
       "      <td>Going straight</td>\n",
       "      <td>Not a Pedestrian</td>\n",
       "      <td>Changing lane to the left</td>\n",
       "      <td>Serious Injury</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Age_band_of_driver Sex_of_driver   Educational_level  \\\n",
       "0              18-30          Male   Above high school   \n",
       "1              31-50          Male  Junior high school   \n",
       "2              18-30          Male  Junior high school   \n",
       "\n",
       "  Vehicle_driver_relation Driving_experience   Lanes_or_Medians  \\\n",
       "0                Employee              1-2yr            Unknown   \n",
       "1                Employee         Above 10yr  Undivided Two way   \n",
       "2                Employee              1-2yr              other   \n",
       "\n",
       "  Types_of_Junction Road_surface_type Light_conditions Weather_conditions  \\\n",
       "0       No junction     Asphalt roads         Daylight             Normal   \n",
       "1       No junction     Asphalt roads         Daylight             Normal   \n",
       "2       No junction     Asphalt roads         Daylight             Normal   \n",
       "\n",
       "                         Type_of_collision Vehicle_movement  \\\n",
       "0  Collision with roadside-parked vehicles   Going straight   \n",
       "1           Vehicle with vehicle collision   Going straight   \n",
       "2          Collision with roadside objects   Going straight   \n",
       "\n",
       "  Pedestrian_movement          Cause_of_accident Accident_severity  \n",
       "0    Not a Pedestrian            Moving Backward     Slight Injury  \n",
       "1    Not a Pedestrian                 Overtaking     Slight Injury  \n",
       "2    Not a Pedestrian  Changing lane to the left    Serious Injury  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Age_band_of_driver', 'Sex_of_driver', 'Educational_level',\n",
       "       'Vehicle_driver_relation', 'Driving_experience', 'Lanes_or_Medians',\n",
       "       'Types_of_Junction', 'Road_surface_type', 'Light_conditions',\n",
       "       'Weather_conditions', 'Type_of_collision', 'Vehicle_movement',\n",
       "       'Pedestrian_movement', 'Cause_of_accident', 'Accident_severity'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### The selected features are:\n",
    "data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Accident_severity',data=data,palette='hls')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x648 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Countplots to visualize how each feature affects the ouput class \n",
    "\n",
    "fig, axes = plt.subplots(2,3, figsize=(14,9))\n",
    "axes[0,0].set_title('Sex Of Driver')\n",
    "sns.countplot(x = 'Accident_severity', hue='Sex_of_driver', data = data, ax=axes[0,0])\n",
    "axes[1,0].set_title('Age_band_of_driver')\n",
    "sns.countplot(x = 'Accident_severity', hue='Age_band_of_driver', data = data, ax=axes[1,0])\n",
    "axes[0,1].set_title('Road_surface_type')\n",
    "sns.countplot(x = 'Accident_severity', hue='Road_surface_type', data = data, ax=axes[0,1])\n",
    "axes[1,1].set_title('Weather_conditions')\n",
    "sns.countplot(x = 'Accident_severity', hue='Weather_conditions', data = data, ax=axes[1,1])\n",
    "axes[0,2].set_title('Light_conditions')\n",
    "sns.countplot(x = 'Accident_severity', hue='Light_conditions', data = data, ax=axes[0,2])\n",
    "axes[1,2].set_title('Driving_experience')\n",
    "sns.countplot(x = 'Accident_severity', hue='Driving_experience', data = data, ax=axes[1,2])\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in data.columns[:-1]:\n",
    "    plt.figure(figsize=(12,6))\n",
    "    plt.title(\"'%s'\"%i)\n",
    "    sns.countplot(data['Accident_severity'],hue=data[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12316, 15)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 1, 0])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# label_encoder object knows how to understand word labels. \n",
    "label_encoder = preprocessing.LabelEncoder() \n",
    "  \n",
    "# Encode labels in column 'species'. \n",
    "data['Accident_severity'] = label_encoder.fit_transform(data['Accident_severity']) \n",
    "  \n",
    "data['Accident_severity'].unique() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>Age_band_of_driver</th>\n",
       "      <th>Sex_of_driver</th>\n",
       "      <th>Educational_level</th>\n",
       "      <th>Vehicle_driver_relation</th>\n",
       "      <th>Driving_experience</th>\n",
       "      <th>Lanes_or_Medians</th>\n",
       "      <th>Types_of_Junction</th>\n",
       "      <th>Road_surface_type</th>\n",
       "      <th>Light_conditions</th>\n",
       "      <th>Weather_conditions</th>\n",
       "      <th>Type_of_collision</th>\n",
       "      <th>Vehicle_movement</th>\n",
       "      <th>Pedestrian_movement</th>\n",
       "      <th>Cause_of_accident</th>\n",
       "      <th>Accident_severity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6917</th>\n",
       "      <td>Unknown</td>\n",
       "      <td>Male</td>\n",
       "      <td>Junior high school</td>\n",
       "      <td>Employee</td>\n",
       "      <td>5-10yr</td>\n",
       "      <td>other</td>\n",
       "      <td>No junction</td>\n",
       "      <td>Asphalt roads</td>\n",
       "      <td>Daylight</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Vehicle with vehicle collision</td>\n",
       "      <td>Overtaking</td>\n",
       "      <td>Not a Pedestrian</td>\n",
       "      <td>Overtaking</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7017</th>\n",
       "      <td>Over 51</td>\n",
       "      <td>Male</td>\n",
       "      <td>Junior high school</td>\n",
       "      <td>Employee</td>\n",
       "      <td>1-2yr</td>\n",
       "      <td>Two-way (divided with broken lines road marking)</td>\n",
       "      <td>Y Shape</td>\n",
       "      <td>Asphalt roads</td>\n",
       "      <td>Daylight</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Vehicle with vehicle collision</td>\n",
       "      <td>Going straight</td>\n",
       "      <td>Not a Pedestrian</td>\n",
       "      <td>No priority to pedestrian</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8177</th>\n",
       "      <td>31-50</td>\n",
       "      <td>Male</td>\n",
       "      <td>Above high school</td>\n",
       "      <td>Employee</td>\n",
       "      <td>2-5yr</td>\n",
       "      <td>Double carriageway (median)</td>\n",
       "      <td>Y Shape</td>\n",
       "      <td>Other</td>\n",
       "      <td>Daylight</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Collision with animals</td>\n",
       "      <td>Going straight</td>\n",
       "      <td>Not a Pedestrian</td>\n",
       "      <td>Driving to the left</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Age_band_of_driver Sex_of_driver   Educational_level  \\\n",
       "6917            Unknown          Male  Junior high school   \n",
       "7017            Over 51          Male  Junior high school   \n",
       "8177              31-50          Male   Above high school   \n",
       "\n",
       "     Vehicle_driver_relation Driving_experience  \\\n",
       "6917                Employee             5-10yr   \n",
       "7017                Employee              1-2yr   \n",
       "8177                Employee              2-5yr   \n",
       "\n",
       "                                      Lanes_or_Medians Types_of_Junction  \\\n",
       "6917                                             other       No junction   \n",
       "7017  Two-way (divided with broken lines road marking)           Y Shape   \n",
       "8177                       Double carriageway (median)           Y Shape   \n",
       "\n",
       "     Road_surface_type Light_conditions Weather_conditions  \\\n",
       "6917     Asphalt roads         Daylight             Normal   \n",
       "7017     Asphalt roads         Daylight             Normal   \n",
       "8177             Other         Daylight             Normal   \n",
       "\n",
       "                   Type_of_collision Vehicle_movement Pedestrian_movement  \\\n",
       "6917  Vehicle with vehicle collision       Overtaking    Not a Pedestrian   \n",
       "7017  Vehicle with vehicle collision   Going straight    Not a Pedestrian   \n",
       "8177          Collision with animals   Going straight    Not a Pedestrian   \n",
       "\n",
       "              Cause_of_accident  Accident_severity  \n",
       "6917                 Overtaking                  2  \n",
       "7017  No priority to pedestrian                  2  \n",
       "8177        Driving to the left                  2  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.sample(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.to_csv('Data\\cleaned.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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