Descriptive statistics.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0e3b6e09",
   "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>id</th>\n",
       "      <th>start_date</th>\n",
       "      <th>exposure</th>\n",
       "      <th>net_earned_premium</th>\n",
       "      <th>net_written_premium</th>\n",
       "      <th>claim_count</th>\n",
       "      <th>is_capped_incurred</th>\n",
       "      <th>incurred</th>\n",
       "      <th>capped_incurred</th>\n",
       "      <th>bi_incurred</th>\n",
       "      <th>...</th>\n",
       "      <th>vehicle_make</th>\n",
       "      <th>d1_age</th>\n",
       "      <th>d1_residency_years</th>\n",
       "      <th>d1_is_uk_resident</th>\n",
       "      <th>transmission</th>\n",
       "      <th>region</th>\n",
       "      <th>gender</th>\n",
       "      <th>vehicle_purchase_date</th>\n",
       "      <th>licence_test_date</th>\n",
       "      <th>primary_car_colour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16042</td>\n",
       "      <td>28/02/2019</td>\n",
       "      <td>0.002740</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>FIAT</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>MANUAL</td>\n",
       "      <td>East Midlands</td>\n",
       "      <td>Male</td>\n",
       "      <td>01/02/2019</td>\n",
       "      <td>26/11/2016</td>\n",
       "      <td>Blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>41414</td>\n",
       "      <td>20/03/2019</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>238.33650</td>\n",
       "      <td>238.3365</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>FORD</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>MANUAL</td>\n",
       "      <td>South East</td>\n",
       "      <td>Female</td>\n",
       "      <td>01/11/2017</td>\n",
       "      <td>12/03/2012</td>\n",
       "      <td>Grey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>58837</td>\n",
       "      <td>29/11/2019</td>\n",
       "      <td>0.420765</td>\n",
       "      <td>77.31347</td>\n",
       "      <td>183.7450</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>PEUGEOT</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>1</td>\n",
       "      <td>MANUAL</td>\n",
       "      <td>West Midlands</td>\n",
       "      <td>Female</td>\n",
       "      <td>01/09/2016</td>\n",
       "      <td>09/11/1994</td>\n",
       "      <td>Silver</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>65415</td>\n",
       "      <td>17/02/2019</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>494.98150</td>\n",
       "      <td>246.5586</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NISSAN</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>1</td>\n",
       "      <td>AUTOMATIC</td>\n",
       "      <td>North West</td>\n",
       "      <td>Female</td>\n",
       "      <td>16/02/2019</td>\n",
       "      <td>01/07/2019</td>\n",
       "      <td>White</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>81565</td>\n",
       "      <td>24/04/2018</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>120.05060</td>\n",
       "      <td>120.0506</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>KIA</td>\n",
       "      <td>61</td>\n",
       "      <td>61</td>\n",
       "      <td>1</td>\n",
       "      <td>MANUAL</td>\n",
       "      <td>South West</td>\n",
       "      <td>Male</td>\n",
       "      <td>01/06/2013</td>\n",
       "      <td>07/04/1974</td>\n",
       "      <td>Silver</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id  start_date  exposure  net_earned_premium  net_written_premium  \\\n",
       "0  16042  28/02/2019  0.002740             0.00000               0.0000   \n",
       "1  41414  20/03/2019  1.000000           238.33650             238.3365   \n",
       "2  58837  29/11/2019  0.420765            77.31347             183.7450   \n",
       "3  65415  17/02/2019  1.000000           494.98150             246.5586   \n",
       "4  81565  24/04/2018  1.000000           120.05060             120.0506   \n",
       "\n",
       "   claim_count  is_capped_incurred  incurred  capped_incurred  bi_incurred  \\\n",
       "0            0                 NaN       NaN              NaN          NaN   \n",
       "1            0                 NaN       NaN              NaN          NaN   \n",
       "2            0                 NaN       NaN              NaN          NaN   \n",
       "3            0                 NaN       NaN              NaN          NaN   \n",
       "4            0                 NaN       NaN              NaN          NaN   \n",
       "\n",
       "   ...  vehicle_make  d1_age  d1_residency_years  d1_is_uk_resident  \\\n",
       "0  ...          FIAT      20                  20                  1   \n",
       "1  ...          FORD      25                  25                  1   \n",
       "2  ...       PEUGEOT      42                  42                  1   \n",
       "3  ...        NISSAN      31                  31                  1   \n",
       "4  ...           KIA      61                  61                  1   \n",
       "\n",
       "   transmission         region  gender  vehicle_purchase_date  \\\n",
       "0        MANUAL  East Midlands    Male             01/02/2019   \n",
       "1        MANUAL     South East  Female             01/11/2017   \n",
       "2        MANUAL  West Midlands  Female             01/09/2016   \n",
       "3     AUTOMATIC     North West  Female             16/02/2019   \n",
       "4        MANUAL     South West    Male             01/06/2013   \n",
       "\n",
       "   licence_test_date primary_car_colour  \n",
       "0         26/11/2016               Blue  \n",
       "1         12/03/2012               Grey  \n",
       "2         09/11/1994             Silver  \n",
       "3         01/07/2019              White  \n",
       "4         07/04/1974             Silver  \n",
       "\n",
       "[5 rows x 40 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "# Load the data\n",
    "raw_data = pd.read_csv('Motor RP Analyst Interview Activity template.csv')\n",
    "\n",
    "raw_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "16184f27",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of claims: 7934\n",
      "Average claim count   : 1.07\n",
      "Minimum claim count   : 1\n",
      "Maximum claim count   : 4\n"
     ]
    }
   ],
   "source": [
    "# Claim Count\n",
    "def structure_un(x):\n",
    "    print(\"Total number of claims:\", x.sum())\n",
    "\n",
    "\n",
    "structure_un(raw_data.loc[:, 'claim_count'])\n",
    "\n",
    "\n",
    "def structure(x):\n",
    "    print(\"Average claim count   :\", round(x.mean(), 2))\n",
    "    print(\"Minimum claim count   :\", x.min())\n",
    "    print(\"Maximum claim count   :\", x.max())\n",
    "\n",
    "\n",
    "structure(raw_data[raw_data['claim_count'] > 0]['claim_count'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9349553e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean                   : 2589.68\n",
      "Median                 : 159.5\n",
      "Minimum                : -1854.64\n",
      "Maximum                : 55259.6\n",
      "25th percentile of arr : 34.5\n",
      "75th percentile of arr : 2868.07\n"
     ]
    }
   ],
   "source": [
    "# Claim Amount\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "def structure_v(x):\n",
    "    print(\"Mean                   :\", round(x.mean(), 2))\n",
    "    print(\"Median                 :\", round(x.median(), 2))\n",
    "    print(\"Minimum                :\", round(x.min(), 2))\n",
    "    print(\"Maximum                :\", round(x.max(), 2))\n",
    "    print(\"25th percentile of arr :\",\n",
    "          round(np.percentile(x, 25), 2))\n",
    "    print(\"75th percentile of arr :\",\n",
    "          round(np.percentile(x, 75), 2))\n",
    "\n",
    "\n",
    "structure_v(raw_data[raw_data['capped_incurred'].notnull()]['capped_incurred'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "edf5672d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Convert the 'start_date' column to datetime format\n",
    "raw_data['start_date'] = pd.to_datetime(raw_data['start_date'], dayfirst=True)\n",
    "raw_data['start_year'] = raw_data['start_date'].dt.year\n",
    "\n",
    "raw_data.head()\n",
    "\n",
    "# Group the data by 'start_year' and calculate the total claim amount for each year\n",
    "claim_amount_by_year = raw_data.groupby('start_year')['capped_incurred'].sum().reset_index()\n",
    "\n",
    "# Plot the total claim amount for each year\n",
    "import matplotlib.pyplot as plt\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(claim_amount_by_year['start_year'], claim_amount_by_year['capped_incurred'], color='skyblue', alpha=0.7)\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Total Claim Amount')\n",
    "plt.title('Total Claim Amount by Year')\n",
    "plt.xticks(claim_amount_by_year['start_year'])\n",
    "plt.grid(axis='y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a5bdc7d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "# Plot the relationship between 'd1_residency_years' and 'capped_incurred' with better x-axis ticks\n",
    "plt.figure(figsize=(12, 6))\n",
    "ax = sns.boxplot(x='d1_residency_years', y='capped_incurred', data=raw_data)\n",
    "plt.title('Relationship between Residency Years and Claim Amount')\n",
    "plt.xlabel('Residency Years')\n",
    "plt.ylabel('Claim Amount')\n",
    "\n",
    "# Display only one in every 5 labels on the x-axis to avoid crowding\n",
    "for ind, label in enumerate(ax.get_xticklabels()):\n",
    "    if ind % 5 == 0:  # every 5th label is kept\n",
    "        label.set_visible(True)\n",
    "    else:\n",
    "        label.set_visible(False)\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# Convert the 'licence_test_date' column to datetime format\n",
    "raw_data['licence_test_date'] = pd.to_datetime(raw_data['licence_test_date'], errors='coerce')\n",
    "raw_data['licence_test_year'] = raw_data['licence_test_date'].dt.year\n",
    "\n",
    "raw_data.head()\n",
    "\n",
    "# Now that we have the 'licence_test_year' column, let's plot the relationship between 'licence_test_year' and 'capped_incurred'\n",
    "# Avoid crowding\n",
    "# Just consider only the years with the top 20 highest total claim amounts\n",
    "\n",
    "# Find the top 20 years with the highest total claim amounts\n",
    "top_20_years = raw_data.groupby('licence_test_year')['capped_incurred'].sum().nlargest(20).index\n",
    "# Filter the data to include only the top 20 years\n",
    "data_filtered = raw_data[raw_data['licence_test_year'].isin(top_20_years)]\n",
    "\n",
    "# Plot the relationship between 'licence_test_year' and 'capped_incurred'\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.boxplot(x='licence_test_year', y='capped_incurred', data=data_filtered)\n",
    "plt.title('Relationship between Licence Test Year and Claim Amount')\n",
    "plt.xlabel('Licence Test Year')\n",
    "plt.ylabel('Claim Amount')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "521262df",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Which are the most important predictors of individual claim size?\n",
    "# vehicle_age\n",
    "# vehicle_value\n",
    "# business_provider\n",
    "# vehicle_annual_mileage\n",
    "# premium\n",
    "# residency_years\n",
    "# licence_year\n",
    "# ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20ec20a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Some of the information in the data set is clearly missing. Why might we be missing this data and \n",
    "# How does this impact any predictions you might make?\n",
    "# not applicable?\n",
    "# data collection issues?\n",
    "\n",
    "# bias\n",
    "# loss of information\n",
    "# complication in analysis\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "875c675a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# The appropriateness of the data provided - after the model "
   ]
  }
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