deaths_onboard.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv(\"E:/cruise_ship_datasets/output_deaths.csv\",encoding='latin-1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>date_published</th>\n",
       "      <th>death_type</th>\n",
       "      <th>deceased_name</th>\n",
       "      <th>deceased_age</th>\n",
       "      <th>deceased_gender</th>\n",
       "      <th>is_passenger</th>\n",
       "      <th>is_crew</th>\n",
       "      <th>ship_cruise_line</th>\n",
       "      <th>ship_name</th>\n",
       "      <th>ship_callsign</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>29-10-2000</td>\n",
       "      <td>overboard</td>\n",
       "      <td>Manuelita Mandy Dejos Pierce</td>\n",
       "      <td>39.0</td>\n",
       "      <td>female</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Royal Caribbean International</td>\n",
       "      <td>Enchantment Of The Seas</td>\n",
       "      <td>C6FZ7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18-08-2000</td>\n",
       "      <td>suicide</td>\n",
       "      <td>Paula Ann Gunderson</td>\n",
       "      <td>45.0</td>\n",
       "      <td>female</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Carnival Cruise Line</td>\n",
       "      <td>Carnival Holiday</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>06-06-2000</td>\n",
       "      <td>norovirus</td>\n",
       "      <td>Edith Horn</td>\n",
       "      <td>78.0</td>\n",
       "      <td>female</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MV Van Gogh</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13-05-2000</td>\n",
       "      <td>natural</td>\n",
       "      <td>Barbara Clifton</td>\n",
       "      <td>NaN</td>\n",
       "      <td>female</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Carnival Cruise Line</td>\n",
       "      <td>Carnival Spirit</td>\n",
       "      <td>9HA3097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24-04-2000</td>\n",
       "      <td>natural</td>\n",
       "      <td>George Paoa</td>\n",
       "      <td>65.0</td>\n",
       "      <td>male</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  date_published death_type                 deceased_name  deceased_age  \\\n",
       "0     29-10-2000  overboard  Manuelita Mandy Dejos Pierce          39.0   \n",
       "1     18-08-2000    suicide           Paula Ann Gunderson          45.0   \n",
       "2     06-06-2000  norovirus                    Edith Horn          78.0   \n",
       "3     13-05-2000    natural               Barbara Clifton           NaN   \n",
       "4     24-04-2000    natural                   George Paoa          65.0   \n",
       "\n",
       "  deceased_gender  is_passenger  is_crew               ship_cruise_line  \\\n",
       "0          female          True    False  Royal Caribbean International   \n",
       "1          female          True    False           Carnival Cruise Line   \n",
       "2          female          True    False                            NaN   \n",
       "3          female          True    False           Carnival Cruise Line   \n",
       "4            male          True    False                            NaN   \n",
       "\n",
       "                 ship_name ship_callsign  \n",
       "0  Enchantment Of The Seas         C6FZ7  \n",
       "1         Carnival Holiday           NaN  \n",
       "2              MV Van Gogh           NaN  \n",
       "3          Carnival Spirit       9HA3097  \n",
       "4                      NaN           NaN  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### data cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['deceased_age'].fillna(55,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date_published       object\n",
       "death_type           object\n",
       "deceased_name        object\n",
       "deceased_age        float64\n",
       "deceased_gender      object\n",
       "is_passenger           bool\n",
       "is_crew                bool\n",
       "ship_cruise_line     object\n",
       "ship_name            object\n",
       "ship_callsign        object\n",
       "dtype: object"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['age']=df['deceased_age'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date_published       object\n",
       "death_type           object\n",
       "deceased_name        object\n",
       "deceased_age        float64\n",
       "deceased_gender      object\n",
       "is_passenger           bool\n",
       "is_crew                bool\n",
       "ship_cruise_line     object\n",
       "ship_name            object\n",
       "ship_callsign        object\n",
       "age                   int32\n",
       "dtype: object"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(df.loc[:,['deceased_age']],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date_published</th>\n",
       "      <th>death_type</th>\n",
       "      <th>deceased_name</th>\n",
       "      <th>deceased_gender</th>\n",
       "      <th>is_passenger</th>\n",
       "      <th>is_crew</th>\n",
       "      <th>ship_cruise_line</th>\n",
       "      <th>ship_name</th>\n",
       "      <th>ship_callsign</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>29-10-2000</td>\n",
       "      <td>overboard</td>\n",
       "      <td>Manuelita Mandy Dejos Pierce</td>\n",
       "      <td>female</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Royal Caribbean International</td>\n",
       "      <td>Enchantment Of The Seas</td>\n",
       "      <td>C6FZ7</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18-08-2000</td>\n",
       "      <td>suicide</td>\n",
       "      <td>Paula Ann Gunderson</td>\n",
       "      <td>female</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Carnival Cruise Line</td>\n",
       "      <td>Carnival Holiday</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>06-06-2000</td>\n",
       "      <td>norovirus</td>\n",
       "      <td>Edith Horn</td>\n",
       "      <td>female</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MV Van Gogh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13-05-2000</td>\n",
       "      <td>natural</td>\n",
       "      <td>Barbara Clifton</td>\n",
       "      <td>female</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Carnival Cruise Line</td>\n",
       "      <td>Carnival Spirit</td>\n",
       "      <td>9HA3097</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24-04-2000</td>\n",
       "      <td>natural</td>\n",
       "      <td>George Paoa</td>\n",
       "      <td>male</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  date_published death_type                 deceased_name deceased_gender  \\\n",
       "0     29-10-2000  overboard  Manuelita Mandy Dejos Pierce          female   \n",
       "1     18-08-2000    suicide           Paula Ann Gunderson          female   \n",
       "2     06-06-2000  norovirus                    Edith Horn          female   \n",
       "3     13-05-2000    natural               Barbara Clifton          female   \n",
       "4     24-04-2000    natural                   George Paoa            male   \n",
       "\n",
       "   is_passenger  is_crew               ship_cruise_line  \\\n",
       "0          True    False  Royal Caribbean International   \n",
       "1          True    False           Carnival Cruise Line   \n",
       "2          True    False                            NaN   \n",
       "3          True    False           Carnival Cruise Line   \n",
       "4          True    False                            NaN   \n",
       "\n",
       "                 ship_name ship_callsign  age  \n",
       "0  Enchantment Of The Seas         C6FZ7   39  \n",
       "1         Carnival Holiday           NaN   45  \n",
       "2              MV Van Gogh           NaN   78  \n",
       "3          Carnival Spirit       9HA3097   55  \n",
       "4                      NaN           NaN   65  "
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date_published        0\n",
       "death_type           17\n",
       "deceased_name         1\n",
       "deceased_gender      46\n",
       "is_passenger          0\n",
       "is_crew               0\n",
       "ship_cruise_line    151\n",
       "ship_name           186\n",
       "ship_callsign       228\n",
       "age                   0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(subset=['death_type'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['deceased_name'].fillna('John Doe',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(df.loc[:,['ship_callsign']],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(subset=['ship_cruise_line'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date_published       0\n",
       "death_type           0\n",
       "deceased_name        0\n",
       "deceased_gender     24\n",
       "is_passenger         0\n",
       "is_crew              0\n",
       "ship_cruise_line     0\n",
       "ship_name           48\n",
       "age                  0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(399, 9)"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace(to_replace='Norwegian Cruise Line',value='Norwegian Cruise Lines',inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### **data cleaning ends here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The following info tells about the number of deaths on each ship whose names are known."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ship_cruise_line               ship_name                      \n",
       "Carnival Cruise Line           Carnival Liberty                   12\n",
       "                               Carnival Miracle                   11\n",
       "                               Carnival Fantasy                   10\n",
       "                               Carnival Ecstasy                    8\n",
       "                               Carnival Triumph                    8\n",
       "                               Carnival Destiny                    7\n",
       "                               Carnival Elation                    7\n",
       "                               Carnival Fascination                7\n",
       "                               Carnival Inspiration                7\n",
       "                               Carnival Conquest                   6\n",
       "                               Carnival Glory                      6\n",
       "                               Carnival Victory                    6\n",
       "                               Carnival Freedom                    5\n",
       "                               Carnival Imagination                4\n",
       "                               Carnival Pride                      4\n",
       "                               Carnival Spirit                     4\n",
       "                               Carnival Dream                      3\n",
       "                               Carnival Legend                     3\n",
       "                               Carnival Paradise                   3\n",
       "                               Carnival Sensation                  3\n",
       "                               Carnival Splendor                   3\n",
       "                               Carnival Valor                      3\n",
       "                               Carnival Holiday                    2\n",
       "                               Carnival Magic                      2\n",
       "                               Carnival Sunshine                   2\n",
       "                               Carnival Breeze                     1\n",
       "Catamaran Cruises              Pura Vida Princess                  3\n",
       "Celebrity Cruises              Celebrity Summit                    6\n",
       "                               Celebrity Solstice                  4\n",
       "                               Celebrity Constellation             3\n",
       "                               Celebrity Equinox                   3\n",
       "                               Celebrity Millennium                3\n",
       "                               Carnival Victory                    1\n",
       "                               Celebrity Mercury                   1\n",
       "Classic International Cruises  MV Athena                           1\n",
       "Costa Cruises                  Costa Concordia                    31\n",
       "Crystal Cruises                Crystal Symphony                    1\n",
       "Cunard Cruise Line             Queen Victoria                      1\n",
       "Disney Cruises                 Disney Fantasy                      2\n",
       "                               Disney Wonder                       2\n",
       "                               Disney Cruise Ship                  1\n",
       "                               Disney Magic                        1\n",
       "Hapag-Lloyd Cruises            MS Hanseatic                        1\n",
       "Island Cruises                 Island Adventure                    1\n",
       "MS Serenissima Cruises         MS Serenissima                      1\n",
       "Norwegian Cruise Lines         Norwegian Pearl                    11\n",
       "                               Norwegian Dawn                      4\n",
       "                               Norwegian Jewel                     4\n",
       "                               Norwegian Sky                       4\n",
       "                               Norwegian Sun                       4\n",
       "                               Norwegian Breakaway                 3\n",
       "                               Norwegian Dream                     3\n",
       "                               Norwegian Star                      3\n",
       "                               Norwegian Epic                      2\n",
       "                               Norwegian Escape                    2\n",
       "                               Norwegian Gem                       2\n",
       "                               Norwegian Spirit                    2\n",
       "                               Norwegian Getaway                   1\n",
       "                               Norwegian Jade                      1\n",
       "                               Norwegian Majesty                   1\n",
       "                               Norwegian Sun Passenger             1\n",
       "                               Norwegian Wind                      1\n",
       "Princess Cruises               Star Princess                       7\n",
       "                               Caribbean Princess                  5\n",
       "                               Emerald Princess                    5\n",
       "                               Golden Princess                     4\n",
       "                               Grand Princess                      4\n",
       "                               Dawn Princess                       3\n",
       "                               Sapphire Princess                   3\n",
       "                               Coral Princess                      2\n",
       "                               Regal Princess                      2\n",
       "                               Sea Princess                        2\n",
       "                               Sun Princess                        2\n",
       "                               Island Princess                     1\n",
       "                               Royal Princess                      1\n",
       "Royal Caribbean International  Liberty of the Seas                 9\n",
       "                               Allure of the Seas                  5\n",
       "                               Adventure Of The Seas               4\n",
       "                               Voyager Of The Seas                 4\n",
       "                               Anthem of the Seas                  3\n",
       "                               Independence of the Seas            3\n",
       "                               Monarch Of The Seas                 3\n",
       "                               Navigator of the Seas               3\n",
       "                               Oasis of the Seas                   3\n",
       "                               Radiance Of The Seas                3\n",
       "                               Brilliance Of the Seas              2\n",
       "                               Enchantment Of The Seas             2\n",
       "                               Explorer Of The Seas                2\n",
       "                               Majesty Of The Seas                 2\n",
       "                               Mariner Of The Seas                 2\n",
       "                               Freedom Of The Seas                 1\n",
       "                               Grandeur Of The Seas                1\n",
       "                               Grandeur Of The Seas Crew           1\n",
       "                               Jewel Of The Seas                   1\n",
       "                               Navigator Of The Seas Passenger     1\n",
       "                               Vision of the Seas                  1\n",
       "Skyline Cruises                Skyline Princess                    1\n",
       "Name: ship_name, dtype: int64"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_rows', 500)\n",
    "df.groupby('ship_cruise_line')['ship_name'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['ship_cruise_line'].value_counts().plot(kind='bar',figsize=(15,5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **The plot above shows that 'Carnival Cruise Line' has the most no. of deaths onboard."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['death_type'].value_counts().plot(kind='bar',figsize=(14,6))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **The plot above shows that the cause of most no. of deaths was 'Natural'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('ship_cruise_line')['age'].mean().plot(kind='barh',figsize=(14,9))\n",
    "plt.xlabel('Mean Age')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **The plot above illustrates the mean age of all the deceased people onboard.'Silver Seas Cruises' have the highest mean of all the ages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['deceased_gender'].value_counts().plot(kind='pie',autopct='%1.2f%%',figsize=(15,6))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### **The above plot shows the percentage of gender that died."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The no. of people who died onboard and were passengers are presented as follows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ship_cruise_line\n",
       "Carnival Cruise Line             131.0\n",
       "Royal Caribbean International     44.0\n",
       "Princess Cruises                  38.0\n",
       "Norwegian Cruise Lines            34.0\n",
       "Celebrity Cruises                 20.0\n",
       "Disney Cruises                     5.0\n",
       "P&O Cruises                        5.0\n",
       "MSC Cruises                        5.0\n",
       "Cunard Cruise Line                 4.0\n",
       "Catamaran Cruises                  3.0\n",
       "Celebration Cruise Line            2.0\n",
       "Costa Cruises                      2.0\n",
       "Viking River Cruises'              1.0\n",
       "Crystal Cruises                    1.0\n",
       "Fred Olsen Cruise Line             1.0\n",
       "Fred Olsen Cruises                 1.0\n",
       "Mariposa Cruises                   1.0\n",
       "Star Cruises                       1.0\n",
       "P&O Cruise Line                    1.0\n",
       "Seabourn Cruises                   1.0\n",
       "Silver Seas Cruises                1.0\n",
       "Skyline Cruises                    1.0\n",
       "Classic International Cruises      1.0\n",
       "Bahamas Paradise Cruise Line       0.0\n",
       "American Cruise Lines              0.0\n",
       "Holland America Cruise Line        0.0\n",
       "Hapag-Lloyd Cruises                0.0\n",
       "Island Cruises                     0.0\n",
       "MS Serenissima Cruises             0.0\n",
       "Premier Cruise Lines               0.0\n",
       "Seawind Cruises                    0.0\n",
       "Alaskan Dream Cruises              0.0\n",
       "Name: is_passenger, dtype: float64"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('ship_cruise_line')['is_passenger'].sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bd1hr3Vrduk+fD3tmZo6utY4c9BwAZxL/dnIm2q9LKX6jumxmLp2Z76iure7cp88CAIBd25czxmutx2fmbdWvVmdV711r3bsfnwUAAHthvy6laK31keoj+/X+cBq55Afg+fNvJ2ecWWudfC8AAPg25yuhAQAgYQwAAJUwhmeYLW+dmX+5eX7JzFx10HMBAPtLGMMzvbP6G9VbNs+/Uf3CwY0DcGaYmT81M/9iZt69eX7ZzPz9g54LdkoYwzP99bXWjdX/rVprfb36joMdCeCM8B+rx9o6uVBbX/j1bw5uHHh+hDE80zdn5qw2X2M+M4eqbx3sSABnhFeutf5d9c2qtdYfVXOwI8HOCWN4pp+vPlidPzO3VJ+o/u3BjgRwRvjjmXlJT51YeGVbZ5DhjOA+xnACM/MXqze0dabjrrXWfQc8EsAL3sz8neqfV5dXv1a9rvona61fP8i5YKeEMTzNzFxyovW11kOnexaAM83M/LnqtW2dWPhfa62vHPBIsGPCGJ5mZj7b1n8DTvWd1aXV/WutKw50MIAXuJl5XXXPWusPZuat1Wuqn1trffGAR4MdcY0xPM1a66+stf7q5vGy6qq2rjMG4Lm9q/rDmXlV9ePVF6tfOtiRYOeEMZzEWuvT1V876DkAzgCPr63/ir6m+vm11s9VLzvgmWDHzj7oAeCFZmb+2banL2rrvwKPH9A4AGeSb8zMzdVbq7+5ufXliw94JtgxZ4zhmV627eec6sNtnf0A4Ln9o7Zuz3b9Wuv/VBdW//5gR4Kd88d3sM3m7Mbb11o/ftCzAACnl0spYGNmzl5rPT4zrznoWQDOJDPzjTZf6vH0l6q11vrTp3kkOCXCGJ5yd1vXE98zM3dW/7n6gydfXGt94KAGA3ghW2v5Azu+LQhjeKZzq69W39tT9zNelTAG2IGZOb+t+8BXviCJM4cwhqecv7kjxed6Koif5GJ8gJOYmX9QvaP67urR6nuq+ypfkMQZwV0p4ClnVS/d/Lxs2/aTPwA8t3/d1tdB/++11qXVG6r/cbAjwc45YwxPeWSt9a8OegiAM9g311pfnZkXzcyL1lofm5mfPuihYKeEMTxlTr4LAM/hd2fmpdXHq/fNzKPV4wc8E+yY+xjDxsycu9b62kHPAXCmmZlL1loPzcx3VX/U1qWa/7j6M9X71lpfPdABYYeEMQCwKzPz6bXWazbb719r/cODnglOhT++AwB2a/ulaH/+wKaAXRLGAMBurWfZhjOKSykAgF2ZmSfa+qbQqV5S/eGTL+UroTmDCGMAAMilFAAAUAljAACohDEAAFTCGAAAKmEMAABV/T/wvMxMVspu9wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['is_passenger'].value_counts().plot(kind='bar',figsize=(12,5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### **Here 'True' represents 'passengers' and false represents 'crew members'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The no. of people who died onboard and were crew members are presented as follows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ship_cruise_line\n",
       "Norwegian Cruise Lines           6.0\n",
       "Royal Caribbean International    6.0\n",
       "Carnival Cruise Line             4.0\n",
       "Celebrity Cruises                2.0\n",
       "Princess Cruises                 2.0\n",
       "Costa Cruises                    2.0\n",
       "Hapag-Lloyd Cruises              1.0\n",
       "Island Cruises                   1.0\n",
       "MS Serenissima Cruises           1.0\n",
       "MSC Cruises                      1.0\n",
       "Holland America Cruise Line      1.0\n",
       "Disney Cruises                   1.0\n",
       "Classic International Cruises    0.0\n",
       "Celebration Cruise Line          0.0\n",
       "Catamaran Cruises                0.0\n",
       "Bahamas Paradise Cruise Line     0.0\n",
       "Crystal Cruises                  0.0\n",
       "American Cruise Lines            0.0\n",
       "Cunard Cruise Line               0.0\n",
       "Viking River Cruises'            0.0\n",
       "Fred Olsen Cruise Line           0.0\n",
       "Fred Olsen Cruises               0.0\n",
       "Star Cruises                     0.0\n",
       "Mariposa Cruises                 0.0\n",
       "P&O Cruise Line                  0.0\n",
       "P&O Cruises                      0.0\n",
       "Premier Cruise Lines             0.0\n",
       "Seabourn Cruises                 0.0\n",
       "Seawind Cruises                  0.0\n",
       "Silver Seas Cruises              0.0\n",
       "Skyline Cruises                  0.0\n",
       "Alaskan Dream Cruises            0.0\n",
       "Name: is_crew, dtype: float64"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('ship_cruise_line')['is_crew'].sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['is_crew'].value_counts().plot(kind='bar',figsize=(12,5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### **Here 'True' represents 'crew members' and false represents 'passengers'.Also, from the above info and plots we can conclude that the people who died onboard were mostly passengers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### "
   ]
  }
 ],
 "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",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}