titanic_distaster_analysis.ipynb

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   "source": [
    "# Titanic disaster analysis"
   ]
  },
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    "In this notevook we use the dataset available at this [link](https://www.kaggle.com/competitions/titanic/data) \n",
    "\n",
    "### Column definition\n",
    "* **`PassengerId`** unique id number to each passenger\n",
    "* **`Survived`** passenger survive(1) or died(0)\n",
    "* **`Pclass`** passenger class\n",
    "* **`Name`** name\n",
    "* **`Sex`** gender of passenger\n",
    "* **`Age`** age of passenger\n",
    "* **`SibS`** number of siblings/spouses\n",
    "* **`Parch`** number of parents/children\n",
    "* **`Ticket`** ticket number\n",
    "* **`Fare`** amount of money spent on ticket\n",
    "* **`Cabin`** cabin category\n",
    "* **`Embarked`** port where passenger embarked(C = Cherbourg, Q = Quennstown, S = Southampton\n"
   ]
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   "source": [
    "### Content:\n",
    "\n",
    "* [How many people survived the Titanic disaster?](#1)\n",
    "* [What was the age distribution of the passengers on board?](#2)\n",
    "* [How many passengers were men and how many were women?](#3)\n",
    "* [How many passengers were in each class (1ª, 2ª, 3ª)?](#4)\n",
    "* [What was the survival rate for each class of passengers?](#5)\n",
    "* [What was the survival rate for men and women?](#6)\n",
    "* [What was the distribution of passengers according to boarding city?](#7)\n",
    "* [What was the distribution of ticket prices?](#8)\n",
    "* [What was the relationship between age and ticket price?](#9)\n",
    "* [What is the survival rate for each passenger class, broken down by gender?](#10)\n",
    "* [What was the average age of surviving passengers compared with those who did not survive?](#11)\n",
    "* [Correlation between Survived, Pclass and Age](#12)\n",
    "\n",
    "<hr>"
   ]
  },
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   "source": [
    "# import libraries\n",
    "\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns"
   ]
  },
  {
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   "execution_count": 2,
   "id": "75e7e49d-3441-4331-8071-42221e4eda0e",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
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       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>C123</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3      0            113803  53.1000  C123        S  \n",
       "4      0            373450   8.0500   NaN        S  "
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   ],
   "source": [
    "# Load dataset\n",
    "df = pd.read_csv('titanic.csv')\n",
    "df.head()"
   ]
  },
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   "id": "db8590a1-ee57-4055-b098-5d56a84d9904",
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 891 entries, 0 to 890\n",
      "Data columns (total 12 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   PassengerId  891 non-null    int64  \n",
      " 1   Survived     891 non-null    int64  \n",
      " 2   Pclass       891 non-null    int64  \n",
      " 3   Name         891 non-null    object \n",
      " 4   Sex          891 non-null    object \n",
      " 5   Age          714 non-null    float64\n",
      " 6   SibSp        891 non-null    int64  \n",
      " 7   Parch        891 non-null    int64  \n",
      " 8   Ticket       891 non-null    object \n",
      " 9   Fare         891 non-null    float64\n",
      " 10  Cabin        204 non-null    object \n",
      " 11  Embarked     889 non-null    object \n",
      "dtypes: float64(2), int64(5), object(5)\n",
      "memory usage: 83.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
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   "id": "53cfe5b3-d7d3-4e8a-9b33-a5746ad58e4c",
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    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
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       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>714.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>446.000000</td>\n",
       "      <td>0.383838</td>\n",
       "      <td>2.308642</td>\n",
       "      <td>29.699118</td>\n",
       "      <td>0.523008</td>\n",
       "      <td>0.381594</td>\n",
       "      <td>32.204208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>257.353842</td>\n",
       "      <td>0.486592</td>\n",
       "      <td>0.836071</td>\n",
       "      <td>14.526497</td>\n",
       "      <td>1.102743</td>\n",
       "      <td>0.806057</td>\n",
       "      <td>49.693429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>223.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.125000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.910400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>446.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.454200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>668.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>891.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>512.329200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "       PassengerId    Survived      Pclass         Age       SibSp  \\\n",
       "count   891.000000  891.000000  891.000000  714.000000  891.000000   \n",
       "mean    446.000000    0.383838    2.308642   29.699118    0.523008   \n",
       "std     257.353842    0.486592    0.836071   14.526497    1.102743   \n",
       "min       1.000000    0.000000    1.000000    0.420000    0.000000   \n",
       "25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n",
       "50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n",
       "75%     668.500000    1.000000    3.000000   38.000000    1.000000   \n",
       "max     891.000000    1.000000    3.000000   80.000000    8.000000   \n",
       "\n",
       "            Parch        Fare  \n",
       "count  891.000000  891.000000  \n",
       "mean     0.381594   32.204208  \n",
       "std      0.806057   49.693429  \n",
       "min      0.000000    0.000000  \n",
       "25%      0.000000    7.910400  \n",
       "50%      0.000000   14.454200  \n",
       "75%      0.000000   31.000000  \n",
       "max      6.000000  512.329200  "
      ]
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     "execution_count": 4,
     "metadata": {},
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   "source": [
    "df.describe()"
   ]
  },
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   "cell_type": "code",
   "execution_count": 5,
   "id": "10c2ab10-9816-48de-8511-ddfbf3e71a22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PassengerId      0\n",
       "Survived         0\n",
       "Pclass           0\n",
       "Name             0\n",
       "Sex              0\n",
       "Age            177\n",
       "SibSp            0\n",
       "Parch            0\n",
       "Ticket           0\n",
       "Fare             0\n",
       "Cabin          687\n",
       "Embarked         2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show number of NaN values in dataframe\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de428135-e3a8-4925-a243-d5b68b216504",
   "metadata": {},
   "source": [
    "I could replace the missing data in the age column with the average of the ages.\n",
    "At the moment, for the analyses considered, it does not matter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a778eb0e-c41f-4330-96c9-c98e38289917",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Full name of cities in column 'Embarked'\n",
    "cherbourg = df['Embarked'] == 'C'\n",
    "df.loc[cherbourg, 'Embarked'] = 'Cherbourg'\n",
    "\n",
    "queenstown = df['Embarked'] == 'Q'\n",
    "df.loc[queenstown, 'Embarked'] = 'Queenstown'\n",
    "\n",
    "southampton = df['Embarked'] == 'S'\n",
    "df.loc[southampton, 'Embarked'] = 'Southampton'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3b571374-0764-4870-a9ce-135f03ee68c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Southampton\n",
       "1      Cherbourg\n",
       "2    Southampton\n",
       "3    Southampton\n",
       "4    Southampton\n",
       "Name: Embarked, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Embarked'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8e001f4-5211-426b-b483-bfec8d146edd",
   "metadata": {},
   "source": [
    "<a id = \"1\"></a>\n",
    "#### How many people survived the Titanic disaster?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c1ee07f4-9a71-49ee-b518-26c3f56bc36f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of passengers survived: 342\n"
     ]
    }
   ],
   "source": [
    "num_survived = (df['Survived'] == 1).sum()\n",
    "print('Number of passengers survived:', num_survived)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "398a03a1-5501-4523-8793-0d5535e5fb81",
   "metadata": {},
   "source": [
    "<a id = \"2\"></a>\n",
    "#### What was the age distribution of the passengers on board?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "aaf9ff98-4767-4cbe-9e80-fa226ccbc6cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['Age'], bins=80, edgecolor='k', color='orange')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Number of Passengers')\n",
    "plt.title('Age Distribution of Titanic Passengers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c24e7527-9cea-497d-9337-61c1e89e1737",
   "metadata": {},
   "source": [
    "<a id = \"3\"></a>\n",
    "#### How many passengers were men and how many were women?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ad967729-028b-4e0b-852f-424f005d2aff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of male passengers on board: 577\n",
      "Number of female passengers on board: 314\n"
     ]
    }
   ],
   "source": [
    "total_male = (df['Sex'] == 'male').sum()\n",
    "total_female = (df['Sex'] == 'female').sum()\n",
    "\n",
    "print('Number of male passengers on board:', total_male)\n",
    "print('Number of female passengers on board:', total_female)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "104d598e-d79c-4b81-aa7d-7cc222e88f3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Percentage of male and female on board')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(\n",
    "    [total_male, total_female], \n",
    "    labels=['Male', 'Female'], \n",
    "    autopct='%1.1f%%', \n",
    "    startangle=90, \n",
    "    shadow=True, \n",
    "    explode=[0.1, 0]\n",
    ")\n",
    "plt.title('Percentage of male and female on board')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdfedcd4-7468-4686-824c-44bc9d4b4a75",
   "metadata": {},
   "source": [
    "<a id = \"4\"></a>\n",
    "#### How many passengers were in each class (1ª, 2ª, 3ª)?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f1e024ff-9544-4664-935d-91772d46dd5e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of passengers in first class: 216\n",
      "Number of passengers in second class: 184\n",
      "Number of passengers in third class: 491\n"
     ]
    }
   ],
   "source": [
    "total_number_of_first_class_passengers = (df['Pclass'] == 1).sum()\n",
    "total_number_of_second_class_passengers = (df['Pclass'] == 2).sum()\n",
    "total_number_of_third_class_passengers = (df['Pclass'] == 3).sum()\n",
    "\n",
    "print('Number of passengers in first class:', total_number_of_first_class_passengers)\n",
    "print('Number of passengers in second class:', total_number_of_second_class_passengers)\n",
    "print('Number of passengers in third class:', total_number_of_third_class_passengers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d065773f-33ab-442e-b8a4-2d76d619dae8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Percentage of passengers by class')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(\n",
    "    [total_number_of_first_class_passengers, total_number_of_second_class_passengers, total_number_of_third_class_passengers], \n",
    "    labels=['1st class', '2nd class', '3rd class'], \n",
    "    autopct='%1.1f%%', \n",
    "    startangle=90, \n",
    "    shadow=True, \n",
    "    explode=[0.1, 0.1, 0]\n",
    ")\n",
    "\n",
    "plt.title('Percentage of passengers by class')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aeac5db5-8c2f-4e0a-8ef1-e9733b0fae25",
   "metadata": {},
   "source": [
    "<a id = \"5\"></a>\n",
    "#### What was the survival rate for each class of passengers?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "da47de98-39c8-4069-82b1-8d49694f6e2b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Survival rate for each class: Pclass\n",
      "1    62.962963\n",
      "2    47.282609\n",
      "3    24.236253\n",
      "Name: Survived, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "survival_percentages = df.groupby('Pclass')['Survived'].mean() * 100\n",
    "print(\"Survival rate for each class:\", survival_percentages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "cb7ed8e7-c31c-482e-a937-26d76bcce4a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(survival_percentages.index, survival_percentages, width=0.5, align='center', edgecolor='black', color='orange')\n",
    "plt.xlabel('Passenger Class')\n",
    "plt.ylabel('Survival Percentage')\n",
    "plt.title('Survival rate for each class')\n",
    "plt.xticks(survival_percentages.index, labels=['1st Class', '2nd Class', '3rd Class'], rotation=45)\n",
    "plt.ylim(0, 100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c9edf47-ae6d-4d57-95e4-52bfadc0095f",
   "metadata": {},
   "source": [
    "<a id = \"6\"></a>\n",
    "#### What was the survival rate for men and women?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ff5b1846-cb0d-4313-81ac-439d64c19be4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Survival rate by sex: Sex\n",
      "female    74.203822\n",
      "male      18.890815\n",
      "Name: Survived, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "survival_percentages_by_sex = df.groupby('Sex')['Survived'].mean() * 100\n",
    "print(\"Survival rate by sex:\", survival_percentages_by_sex)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "85e4ed87-a660-44b1-b633-b2a10411d5a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(survival_percentages_by_sex.index, survival_percentages_by_sex, width=0.5, align='center', edgecolor='black', color='orange')\n",
    "plt.xlabel('Sex')\n",
    "plt.ylabel('Survival Percentage')\n",
    "plt.title('Percentage of Survival by Sex of passengers')\n",
    "plt.xticks(rotation=45)\n",
    "plt.ylim(0, 100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67cf9d68-d1f7-4d39-b6ce-f0eaa8cb38f6",
   "metadata": {},
   "source": [
    "<a id = \"7\"></a>\n",
    "#### What was the distribution of passengers according to boarding city?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cff16877-8de0-4649-927a-c51e41bda151",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Southampton    644\n",
       "Cherbourg      168\n",
       "Queenstown      77\n",
       "Name: Embarked, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "passengers_per_city = df['Embarked'].value_counts()\n",
    "passengers_per_city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2e829fe3-ed9f-4ce5-81be-5d70953c2ee6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(passengers_per_city.index, passengers_per_city, width=0.5, align='center', edgecolor='black', color='orange')\n",
    "plt.xlabel('Boarding City')\n",
    "plt.ylabel('Number of Passengers')\n",
    "plt.title('Distribution of Passengers by Boarding City')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f171c1c4-0b29-4ee3-996d-dbb93ec6aded",
   "metadata": {},
   "source": [
    "<a id = \"8\"></a>\n",
    "#### What was the distribution of ticket prices?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c4934faa-7c4c-41ad-8f0c-6734d321e9a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['Fare'], bins=25, edgecolor='k', color='orange')\n",
    "plt.xlabel('Fare')\n",
    "plt.ylabel('Number of Passengers')\n",
    "plt.title('Price distribution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74111de7-bb7a-4980-8a48-7223ce96dae2",
   "metadata": {},
   "source": [
    "<a id = \"9\"></a>\n",
    "#### What was the relationship between age and ticket price?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fced271e-be7c-4053-8392-47e0d57db90b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df['Age'], df['Fare'], s=10, alpha=0.5)\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Fare')\n",
    "plt.title('Relationship between age and ticket price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "230fc4b9-ddf6-4e0b-a44d-eef18c059194",
   "metadata": {},
   "source": [
    "<a id = \"10\"></a>\n",
    "#### What is the survival rate for each passenger class, broken down by gender?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f3a0df1e-7765-4b7c-8441-a600f3dbcefc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pclass  Sex   \n",
       "1       female    96.808511\n",
       "        male      36.885246\n",
       "2       female    92.105263\n",
       "        male      15.740741\n",
       "3       female    50.000000\n",
       "        male      13.544669\n",
       "Name: Survived, dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "survival_percentages = df.groupby(['Pclass', 'Sex'])['Survived'].mean() * 100\n",
    "survival_percentages"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be5d3540-46a2-4bc3-be21-d1b35243b8f6",
   "metadata": {},
   "source": [
    "<a id = \"11\"></a>\n",
    "#### What was the average age of surviving passengers compared with those who did not survive?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "255a859b-6d6e-46bb-8bb4-a4f370dede76",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average age of survivors: 28.343689655172415\n",
      "Average age of non-survivors: 30.62617924528302\n"
     ]
    }
   ],
   "source": [
    "average_age_survived = df[df['Survived'] == 1]['Age'].mean()\n",
    "average_age_not_survived = df[df['Survived'] == 0]['Age'].mean()\n",
    "\n",
    "print(\"Average age of survivors:\", average_age_survived)\n",
    "print(\"Average age of non-survivors:\", average_age_not_survived)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "381337dd-2cf3-4e9d-9b25-d8ea6f3defa7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['Survivors', 'Not Survivors']\n",
    "mean_ages = [average_age_survived, average_age_not_survived]\n",
    "\n",
    "plt.bar(labels, mean_ages, width=0.5, align='center', edgecolor='black', color='orange')\n",
    "\n",
    "for i, v in enumerate(mean_ages):\n",
    "    plt.text(i, v, f'{v:.1f}', ha='center', va='bottom')\n",
    "\n",
    "plt.xlabel('Survival')\n",
    "plt.ylabel('Average Age')\n",
    "plt.ylim(0,100)\n",
    "plt.title('Average Age of Surviving vs Non-Surviving Passengers.')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b072aa74-c9fe-4837-b678-3c2975202256",
   "metadata": {},
   "source": [
    "<a id = \"12\"></a>\n",
    "#### Correlation between Survived, Pclass and Age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9b856315-112f-4463-a145-5c64f668f1b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "columns = [ 'Survived', 'Pclass','Age']\n",
    "sns.heatmap(df[columns].corr(), annot=True, cmap='BuPu')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}