DS8_visualization_1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d9d42c61",
   "metadata": {},
   "source": [
    "# 8) Data Visualization I\n",
    "1. Use the inbuilt dataset 'titanic'. The dataset contains 891 rows and contains information about \n",
    "the passengers who boarded the unfortunate Titanic ship. Use the Seaborn library to see if we \n",
    "can find any patterns in the data.\n",
    "2. Write a code to check how the price of the ticket (column name: 'fare') for each passenger\n",
    "is distributed by plotting a histogram.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8e955af4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e64858a",
   "metadata": {},
   "source": [
    "#  datasource=\"https://www.geeksforgeeks.org/python-titanic-data-eda-using-seaborn/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2e22aa00",
   "metadata": {},
   "outputs": [],
   "source": [
    "titanic=pd.read_csv(r\"ds8_titanic.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e79c9d12",
   "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>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",
       "    <tr>\n",
       "      <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",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <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",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>886</th>\n",
       "      <td>887</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Montvila, Rev. Juozas</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>211536</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>888</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Graham, Miss. Margaret Edith</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112053</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>B42</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>889</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>W./C. 6607</td>\n",
       "      <td>23.4500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>890</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>111369</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>C148</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>891</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Dooley, Mr. Patrick</td>\n",
       "      <td>male</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>370376</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>891 rows × 12 columns</p>\n",
       "</div>"
      ],
      "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",
       "886          887         0       2   \n",
       "887          888         1       1   \n",
       "888          889         0       3   \n",
       "889          890         1       1   \n",
       "890          891         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",
       "886                              Montvila, Rev. Juozas    male  27.0      0   \n",
       "887                       Graham, Miss. Margaret Edith  female  19.0      0   \n",
       "888           Johnston, Miss. Catherine Helen \"Carrie\"  female   NaN      1   \n",
       "889                              Behr, Mr. Karl Howell    male  26.0      0   \n",
       "890                                Dooley, Mr. Patrick    male  32.0      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  \n",
       "..     ...               ...      ...   ...      ...  \n",
       "886      0            211536  13.0000   NaN        S  \n",
       "887      0            112053  30.0000   B42        S  \n",
       "888      2        W./C. 6607  23.4500   NaN        S  \n",
       "889      0            111369  30.0000  C148        C  \n",
       "890      0            370376   7.7500   NaN        Q  \n",
       "\n",
       "[891 rows x 12 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "825ce748",
   "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": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic.isnull().sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "827f7d5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x28b2f6326c0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 572.111x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Countplot\n",
    "sns.catplot(x =\"Sex\", hue =\"Survived\",\n",
    "kind =\"count\", data = titanic)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f32825a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Survived', ylabel='Pclass'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Group the dataset by Pclass and Survived and then unstack them\n",
    "group = titanic.groupby(['Pclass', 'Survived'])\n",
    "pclass_survived = group.size().unstack()\n",
    "\n",
    "# Heatmap - Color encoded 2D representation of data.\n",
    "sns.heatmap(pclass_survived, annot = True, fmt =\"d\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "693b10f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Sex', ylabel='Age'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Violinplot Displays distribution of data\n",
    "# across all levels of a category.\n",
    "sns.violinplot(x =\"Sex\", y =\"Age\", hue =\"Survived\",\n",
    "data = titanic, split = True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ad60ac57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x28b31965820>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 511.111x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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o9ddf17e//W1NmDBBxcXFkZwxongbHwAQa9p8IZwv/Otf/9L48eO1ffv2Vs/B7yyIPQAg1oR9IRzp8wP1li1bpjFjxmjw4MH65JNP9PDDD0dqNgAAEAFhfV3umjVrtHjxYi1fvlxdunTRTTfdpFdffVXXXHNNpOcDAABtFNbb+BdccIF+9KMfafz48Ro5cqS6du3aHrO1C97GBwDEmrD27Ovr6/kOfAAAosQ5x97n8wX3hAOBgHw+31nXZY8ZAIDO45xj37NnTx06dEhpaWnq0aOHbDbbGesEAgHZbLZOfTQ+AACx5pxj//rrr6tXr17BP7cWewAA0PlE7Dz7aMEBegCAWBPWefaXXnqpHn/8ce3ZsyfS8wAAgAgLK/b33nuvVq5cqf79+ys3N1e/+c1v5PV6Iz0bAACIgDa9jb979269+OKLWrJkifbv369hw4ZpwoQJmjhxYiRnjCjexgcAxJqIfWb/97//XVOnTuW78QEA6GTC+lKdL9u8ebMWL16s6upq+Xw+/fSnP43EXAAAIELCiv1X377/wQ9+oHnz5mns2LFKSkqK9IwAAKANwor9FwfmTZs2TbfccoscDkek5wIAABFy3rFvaWnR7373O910003q2bNne8wEAAAi6LxPvYuPj9f06dN1/PjxdhgHAABEWljn2Q8cOFD79u2L9CwAAKAdhBX7J598Ug899JBWrFihQ4cOyefzhdwAAEDnEdZ59nFx/32N8OUL4kTDVe84zx4AEGvCOhp/3bp1kZ4DAAC0E656BwCA4cLas9+wYcPX/vyaa64JaxgAABB5bf7MPviLvvTZPZ/ZAwDQeYR1NP6xY8dCbocPH9bq1auVm5urV199NdIzAgCANgjrbfyUlJQzlg0fPlwJCQlyu92qra1t82AAACAywtqzPxuHw6Fdu3ZF8lcCAIA2CmvPfvv27SH3A4GADh06pLlz5yorKysScwEAgAgJK/ZZWVmy2Wz66rF9V155pZ5//vmIDAYAACIjrNjv378/5H5cXJx69+6txMTEiAwFAAAi57w+s6+pqdGKFSt08cUXB29vvPGGrrnmGvXt21d33323mpqa2mtWAAAQhvOK/RNPPKH33nsveP/dd9/VlClT5HK5VFhYqL/97W8qLS2N+JAAACB85xX7bdu26Yc//GHw/tKlS5WXl6cFCxbI7Xbr6aef1rJlyyI+JAAACN95xf7YsWNyOBzB+2+88Yauv/764P3c3FzV1dVFbjoAANBm5xV7h8MRPDivublZW7du1ZVXXhn8+YkTJ9S1a9fITggAANrkvGI/cuRIFRYWauPGjSoqKtIFF1ygq6++Ovjz7du36zvf+U7EhwQAAOE7r1PvZs+erbFjx+raa69VUlKSFi1apISEhODPn3/+eY0YMSLiQwIAgPCFddW7hoYGJSUlKT4+PmT5J598oqSkpJAXAJ0NV70DAMSaiF0IR5J69erVpmEAAEDkRfRCOAAAoPMh9gAAGK5TxL6yslIZGRlKTExUXl6eNm/efE7bLV26VDabTWPGjGnfAQEAiGKWx766ulput1slJSXaunWrMjMzVVBQoMOHD3/tdgcOHNBDDz0UcuofAAA4U1hH40dSXl6ecnNzVVFRIUny+/1yOp2aPn26CgsLW92mpaVF11xzje68805t3LhRx48f1/Lly1tdt6mpKeTiPD6fT06nk6PxAQAxw9I9++bmZtXW1srlcgWXxcXFyeVyqaam5qzbPfHEE0pLS9OUKVO+8TFKS0uVkpISvDmdzojMDgBAtLA09kePHlVLS0vI9+1Ln38tr9frbXWbTZs2aeHChVqwYME5PUZRUZEaGhqCN767HwAQa8I6z94qJ06c0O23364FCxYoNTX1nLax2+2y2+3tPBkAAJ2XpbFPTU1VfHy86uvrQ5bX19crPT39jPXff/99HThwQKNHjw4u8/v9kqQuXbpo165dfDc/AABfYenb+AkJCcrOzpbH4wku8/v98ng8ys/PP2P9/v37691339W2bduCtx//+McaNmyYtm3bxufxAAC0wvK38d1utyZNmqScnBwNGTJE5eXlamxs1OTJkyVJEydOVJ8+fVRaWqrExEQNHDgwZPsePXpI0hnLAQDA5yyP/bhx43TkyBEVFxfL6/UqKytLq1evDh60d/DgQcXFWf51AAAARC3Lz7PvaFz1DgAQa9hlBgDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDdYrYV1ZWKiMjQ4mJicrLy9PmzZvPuu6CBQt09dVXq2fPnurZs6dcLtfXrg8AQKyzPPbV1dVyu90qKSnR1q1blZmZqYKCAh0+fLjV9devX69bb71V69atU01NjZxOp0aMGKGPPvqogycHACA62AKBQMDKAfLy8pSbm6uKigpJkt/vl9Pp1PTp01VYWPiN27e0tKhnz56qqKjQxIkTv3F9n8+nlJQUNTQ0KDk5uc3zAwDQ2Vm6Z9/c3Kza2lq5XK7gsri4OLlcLtXU1JzT7/j000/12WefqVevXq3+vKmpST6fL+QGAEAssTT2R48eVUtLixwOR8hyh8Mhr9d7Tr/jkUce0UUXXRTyguHLSktLlZKSErw5nc42zw0AQDSx/DP7tpg7d66WLl2qV155RYmJia2uU1RUpIaGhuCtrq6ug6cEAMBaXax88NTUVMXHx6u+vj5keX19vdLT079226eeekpz587Va6+9piuuuOKs69ntdtnt9ojMCwBANLJ0zz4hIUHZ2dnyeDzBZX6/Xx6PR/n5+Wfd7pe//KVmz56t1atXKycnpyNGBQAgalm6Zy9JbrdbkyZNUk5OjoYMGaLy8nI1NjZq8uTJkqSJEyeqT58+Ki0tlSTNmzdPxcXFWrx4sTIyMoKf7SclJSkpKcmy5wEAQGdleezHjRunI0eOqLi4WF6vV1lZWVq9enXwoL2DBw8qLu6/b0A8++yzam5u1k033RTye0pKSvT444935OgAAEQFy8+z72icZw8AiDVRfTQ+AAD4ZsQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAxH7AEAMByxBwDAcMQeAADDEXsAAAzXxeoBJKmyslLz58+X1+tVZmamfvvb32rIkCFnXf/Pf/6zZs2apQMHDujSSy/VvHnzNHLkyA6cGF92zwu1Wv2e1+oxzltKYhf94/ECq8cAWpVRuNLqEcKS1j1Bmx8bbvUY+ArL9+yrq6vldrtVUlKirVu3KjMzUwUFBTp8+HCr67/11lu69dZbNWXKFL3zzjsaM2aMxowZo3/+858dPDmk6A29JDWcOq3Mx9dYPQZwhmgNvSQdPtGsIb9Ya/UY+ApbIBAIWDlAXl6ecnNzVVFRIUny+/1yOp2aPn26CgsLz1h/3Lhxamxs1IoVK4LLrrzySmVlZamqquqM9ZuamtTU1BS87/P55HQ61dDQoOTk5HZ4RrHlkqKVsvb/oLY7MHeU1SMAIaI59l/g71XnYumefXNzs2pra+VyuYLL4uLi5HK5VFNT0+o2NTU1IetLUkFBwVnXLy0tVUpKSvDmdDoj9wQQ9aEHgFhgaeyPHj2qlpYWORyOkOUOh0Neb+tvDXu93vNav6ioSA0NDcFbXV1dZIaHJMlms3oCAMA36RQH6LUnu90uu91u9RjGKvhuetR+Zi99fpAegMhydOff3M7G0j371NRUxcfHq76+PmR5fX290tPTW90mPT39vNZH+6q6PVvXXR6d/+05Gh+dVTR/3u3obtfbj7m+eUV0KEt3axISEpSdnS2Px6MxY8ZI+vwAPY/Ho/vuu6/VbfLz8+XxeHT//fcHl61du1b5+fkdMDFaU3V7ttUjAMaJ5uCj87H8PUy3261JkyYpJydHQ4YMUXl5uRobGzV58mRJ0sSJE9WnTx+VlpZKkmbMmKFrr71WZWVlGjVqlJYuXaotW7boueees/JpAADQaVke+3HjxunIkSMqLi6W1+tVVlaWVq9eHTwI7+DBg4qL+++nDUOHDtXixYs1c+ZMPfroo7r00ku1fPlyDRw40KqnAABAp2b5efYdzefzKSUlhfPsAQAxw/Jv0AMAAO2L2AMAYDhiDwCA4Yg9AACGI/YAABiO2AMAYDhiDwCA4Yg9AACGI/YAABiO2AMAYDhiDwCA4Sy/EE5H++JSAD6fz+JJAAD4et27d5fNZmvz74m52J84cUKS5HQ6LZ4EAICvF6mLtsXcVe/8fr8+/vjjiL1aQvvx+XxyOp2qq6vjCoVAhPD3KrqwZx+muLg4fetb37J6DJyH5ORk/lECIoy/V7GFA/QAADAcsQcAwHDEHp2W3W5XSUmJ7Ha71aMAxuDvVWyKuQP0AACINezZAwBgOGIPAIDhiD0AAIYj9gAAGI7Yo9OqrKxURkaGEhMTlZeXp82bN1s9EhC1NmzYoNGjR+uiiy6SzWbT8uXLrR4JHYjYo1Oqrq6W2+1WSUmJtm7dqszMTBUUFOjw4cNWjwZEpcbGRmVmZqqystLqUWABTr1Dp5SXl6fc3FxVVFRI+vyaBk6nU9OnT1dhYaHF0wHRzWaz6ZVXXtGYMWOsHgUdhD17dDrNzc2qra2Vy+UKLouLi5PL5VJNTY2FkwFAdCL26HSOHj2qlpYWORyOkOUOh0Ner9eiqQAgehF7AAAMR+zR6aSmpio+Pl719fUhy+vr65Wenm7RVAAQvYg9Op2EhARlZ2fL4/EEl/n9fnk8HuXn51s4GQBEpy5WDwC0xu12a9KkScrJydGQIUNUXl6uxsZGTZ482erRgKh08uRJ7d27N3h///792rZtm3r16qW+fftaOBk6AqfeodOqqKjQ/Pnz5fV6lZWVpaefflp5eXlWjwVEpfXr12vYsGFnLJ80aZL++Mc/dvxA6FDEHgAAw/GZPQAAhiP2AAAYjtgDAGA4Yg8AgOGIPQAAhiP2AAAYjtgDAGA4Yg8AgOGIPYCzWr9+vWw2m44fP271KADagNgDUE1NjeLj4zVq1CirRwHQDog9AC1cuFDTp0/Xhg0b9PHHH1s9DoAII/ZAjDt58qSqq6s1depUjRo16hsvivKXv/xFl19+uex2uzIyMlRWVhby84yMDM2ZM0d33nmnunfvrr59++q5554LWaeurk4333yzevTooV69eumGG27QgQMHIvzMAHyB2AMxbtmyZerfv7/69eunCRMm6Pnnn9fZro9VW1urm2++WbfccoveffddPf7445o1a9YZLxDKysqUk5Ojd955R/fee6+mTp2qXbt2SZI+++wzFRQUqHv37tq4caPefPNNJSUl6brrrlNzc3N7P10gNgUAxLShQ4cGysvLA4FAIPDZZ58FUlNTA+vWrQsEAoHAunXrApICx44dCwQCgcBtt90WGD58eMj2Dz/8cOC73/1u8P7FF18cmDBhQvC+3+8PpKWlBZ599tlAIBAIvPDCC4F+/foF/H5/cJ2mpqZAt27dAmvWrGmPpwjEPPbsgRi2a9cubd68WbfeeqskqUuXLho3bpwWLlzY6vo7duzQVVddFbLsqquu0p49e9TS0hJcdsUVVwT/bLPZlJ6ersOHD0uS/vGPf2jv3r3q3r27kpKSlJSUpF69eunUqVN6//33I/0UAUjqYvUAAKyzcOFCnT59WhdddFFwWSAQkN1uV0VFRdi/t2vXriH3bTab/H6/pM+PEcjOztaLL754xna9e/cO+zEBnB2xB2LU6dOn9ac//UllZWUaMWJEyM/GjBmjJUuWqH///iHLBwwYoDfffDNk2ZtvvqnLLrtM8fHx5/S4gwcPVnV1tdLS0pScnNy2JwHgnPA2PhCjVqxYoWPHjmnKlCkaOHBgyO3GG29s9a38Bx98UB6PR7Nnz9bu3bu1aNEiVVRU6KGHHjrnxx0/frxSU1N1ww03aOPGjdq/f7/Wr1+vn/3sZ/rwww8j+RQB/H/EHohRCxculMvlUkpKyhk/u/HGG7VlyxZt3749ZPngwYO1bNkyLV26VAMHDlRxcbGeeOIJ3XHHHef8uBdccIE2bNigvn37auzYsRowYICmTJmiU6dOsacPtBNbIHCWc2wAAIAR2LMHAMBwxB4AAMMRewAADEfsAQAwHLEHAMBwxB4AAMMRewAADEfsAQAwHLEHAMBwxB4AAMMRewAADPf/AGsFCubHU/E1AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 511.111x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Adding a column Family_Size\n",
    "titanic['Family_Size'] = 0\n",
    "titanic['Family_Size'] = titanic['Parch']+titanic['SibSp']\n",
    "\n",
    "# Adding a column Alone\n",
    "titanic['Alone'] = 0\n",
    "titanic.loc[titanic.Family_Size == 0, 'Alone'] = 1\n",
    "\n",
    "# Factorplot for Family_Size\n",
    "# sns.factorplot(x ='Family_Size', y ='Survived', data = titanic) ////factorplot is depricated\n",
    "sns.catplot(x ='Family_Size', y ='Survived', data = titanic)\n",
    "\n",
    "# Factorplot for Alone\n",
    "# sns.factorplot(x ='Alone', y ='Survived', data = titanic) //// factorplot is depricated\n",
    "sns.catplot(x ='Alone', y ='Survived', data = titanic)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c65572d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Fare_Range', ylabel='Survived'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FrWtuwsPDlZKSomXLlvGiTAAA0Ki4FW7mzJmjY8eOKTExUVFRUXrwwQf1zTff1HdtAAAAdeZWuLnlllu0YMECFRUVady4cfruu+907bXXqmPHjnrmmWfqu0YAAACXuf1uKUlq2rSpUlNT9fHHH2v9+vVq0qSJnn766fqqDQAAoM7OKtwcP35c77zzjoYMGaKrr75aP/74ox555JH6qg0AAKDO3LpbaunSpXrrrbf0wQcfyMfHR7feeqs+/vhj9e3bt77rAwAAqBO3ws0tt9yi3/3ud5o7d65uvPFG+fr61nddAAAAbnEr3BQVFfEOKQAA0Ci5HG5KS0sVEhIi6ecX85WWltbY9lQ7AACAhuZyuGnevLkKCgoUHh6uZs2aOX3LsDFGNpvN6RvDAQAAGoLL4WbFihVq0aKF/d/Owg0AAICnuRxu+vXrZ//3dddddy5qAQAAOGtuPeemQ4cOeuqpp7Rly5b6rgcAAOCsuBVu7r//fi1atEidO3fWNddco6lTp6qwsLC+awMAAKgzt8LNQw89pK+//lobN27UjTfeqGnTpik6OloDBgzQ3Llz67tGAAAAl53V6xc6duyop59+Wt9//70+//xz7d+/X6mpqfVVGwAAQJ259RC/061evVpvvfWW5s+fr9LSUt122231URcAAIBb3Ao333//vd588029/fbb2r59u377299qwoQJ+v3vf6/g4OD6rhEAAMBlboWbUxcSP/DAA/rjH/+oiIiI+q4LAADALXUON5WVlZo+fbpuvfVWNW/e/FzUBAAA4LY6X1Ds7e2tv/71rzp8+PA5KAcAAODsuHW31BVXXKEffvihvmsBAAA4a26Fm+eee06jR4/WRx99pIKCApWWljoMAAAAnuLWBcU33nijJOnmm292eIEmbwUHAACe5la4+eSTT+q7DgAAgHrhVrg5/Q3hAAAAjYlb4eazzz6rdX7fvn3dKgYAAOBsuRVurrvuumrTTr/2pq7X3EybNk0TJ05UYWGhunfvrpdeekk9e/Z02va9997TuHHjtHXrVp04cUIdOnTQww8/rLvuuqtO2wQAANbk1t1Shw4dchiKi4u1ZMkSXXPNNfr444/rtK758+crLS1NGRkZWrNmjbp3766EhAQVFxc7bd+iRQs9/vjjys3N1fr165WamqrU1FQtXbrUnV0BAAAW49aRm9DQ0GrT+vfvLz8/P6WlpSkvL8/ldU2ePFkjRoywv008KytLixYtUnZ2th577LFq7X991GjUqFGaM2eOvvjiCyUkJNRtR4AaxD4y19MluM12skKn/4Ze9+Q8GR8/j9VztvImJnu6BADnGbeO3NQkIiJCmzdvdrl9RUWF8vLyFB8f/0tBXl6Kj49Xbm7uGZc3xignJ0ebN2+u8Tqf8vJynsMDAMAFxK0jN+vXr3cYN8aooKBA48ePV0xMjMvrOXDggCorK6u9eDMiIkKbNm2qcbmSkhJFRUWpvLxc3t7eeuWVV9S/f3+nbTMzM/X000+7XBMAADi/uRVuYmJiZLPZZIxxmH7ttdcqOzu7XgqrTdOmTbVu3TodPXpUOTk5SktLU9u2bZ1e6Jyenq60tDT7eGlpqaKjo895jQAAwDPcCjfbt293GPfy8lLLli0VEBBQp/WEhYXJ29tbRUVFDtOLiooUGRlZ43JeXl5q3769pJ+D1saNG5WZmek03Pj7+8vf379OdQEAgPNXna65yc3N1UcffaTLLrvMPnz66afq27evLr30Ut1zzz0qLy93eX1+fn6KjY1VTk6OfVpVVZVycnIUFxfn8nqqqqrqtF0AAGBddQo3zzzzjPLz8+3jGzZs0PDhwxUfH6/HHntM//nPf5SZmVmnAtLS0jRjxgzNmTNHGzdu1H333aeysjL73VPJyclKT0+3t8/MzNSyZcv0ww8/aOPGjZo0aZJef/113XnnnXXaLgAAsKY6nZZat26dnn32Wfv4vHnz1KtXL82YMUOSFB0drYyMDD311FMurzMpKUn79+/X2LFjVVhYqJiYGC1ZssR+kfGuXbvk5fVLBisrK9P999+vPXv2KDAwUJ07d9Ybb7yhpKSkuuwKAACwqDqFm0OHDjnc2fTpp59q0KBB9vFrrrlGu3fvrnMRI0eO1MiRI53OW7lypcP4c889p+eee67O2wAAABeGOp2WioiIsF9MXFFRoTVr1ujaa6+1zz9y5Ih8fX3rt0IAAIA6qFO4ufHGG/XYY4/p888/V3p6uoKCgtSnTx/7/PXr16tdu3b1XiQAAICr6nRa6tlnn9Xvf/979evXT8HBwZozZ478/H55rHt2drYGDBhQ70UCAAC4qk7hJiwsTJ999plKSkoUHBwsb29vh/kLFixQcHBwvRYIAABQF/X24kzp5zd2AwAAeFK9vjgTAADA0wg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUgg3AADAUtx6KzjOL8YYlZWV2cebNGkim83mwYoAADh3CDcXgLKyMiUmJtrHFy5cqODgYA9WBADAucNpKQAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCk85wawGOPtq5JuQx3GAeBCQrgBrMZmk/Hx83QVAOAxnJYCAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACW0ijCzbRp09S6dWsFBASoV69eWr16dY1tZ8yYoT59+qh58+Zq3ry54uPja20PAAAuLB4PN/Pnz1daWpoyMjK0Zs0ade/eXQkJCSouLnbafuXKlRo6dKg++eQT5ebmKjo6WgMGDNDevXsbuHIAANAYeTzcTJ48WSNGjFBqaqq6du2qrKwsBQUFKTs722n7N998U/fff79iYmLUuXNnzZw5U1VVVcrJyXHavry8XKWlpQ4DAACwLo+Gm4qKCuXl5Sk+Pt4+zcvLS/Hx8crNzXVpHceOHdOJEyfUokULp/MzMzMVGhpqH6Kjo+uldgAA0Dh5NNwcOHBAlZWVioiIcJgeERGhwsJCl9YxZswYXXzxxQ4B6XTp6ekqKSmxD7t37z7rugEAQOPl4+kCzsb48eM1b948rVy5UgEBAU7b+Pv7y9/f/6y3FfvI3LNeh6fYTlYo9LTx656cJ+Pj57F6zlbexGRPlwAAaMQ8Gm7CwsLk7e2toqIih+lFRUWKjIysddkXXnhB48eP1/Lly9WtW7dzWSYAADiPePS0lJ+fn2JjYx0uBj51cXBcXFyNy/3jH//Qs88+qyVLlqhHjx4NUSoAADhPePy0VFpamlJSUtSjRw/17NlTU6ZMUVlZmVJTUyVJycnJioqKUmZmpiRpwoQJGjt2rN566y21bt3afm1OcHCwgoODPbYfAACgcfB4uElKStL+/fs1duxYFRYWKiYmRkuWLLFfZLxr1y55ef1ygOnVV19VRUWFbr31Vof1ZGRk6KmnnmrI0gEAQCPk8XAjSSNHjtTIkSOdzlu5cqXD+I4dO859QQAA4Lzl8Yf4AQAA1CfCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBTCDQAAsBQfTxeAc894+6qk21CHcQAArIpwcyGw2WR8/DxdBQAADYLTUgAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFI8Hm6mTZum1q1bKyAgQL169dLq1atrbJufn68//OEPat26tWw2m6ZMmdJwhQIAgPOCR8PN/PnzlZaWpoyMDK1Zs0bdu3dXQkKCiouLnbY/duyY2rZtq/HjxysyMrKBqwUAAOcDj4abyZMna8SIEUpNTVXXrl2VlZWloKAgZWdnO21/zTXXaOLEifrjH/8of3//Bq4WAACcDzwWbioqKpSXl6f4+PhfivHyUnx8vHJzc+ttO+Xl5SotLXUYAACAdXks3Bw4cECVlZWKiIhwmB4REaHCwsJ6205mZqZCQ0PtQ3R0dL2tGwAAND4ev6D4XEtPT1dJSYl92L17t6dLAgAA55CPpzYcFhYmb29vFRUVOUwvKiqq14uF/f39uT4HAIALiMeO3Pj5+Sk2NlY5OTn2aVVVVcrJyVFcXJynygIAAOc5jx25kaS0tDSlpKSoR48e6tmzp6ZMmaKysjKlpqZKkpKTkxUVFaXMzExJP1+E/N1339n/vXfvXq1bt07BwcFq3769x/YDAAA0Hh4NN0lJSdq/f7/Gjh2rwsJCxcTEaMmSJfaLjHft2iUvr18OLu3bt09XXXWVffyFF17QCy+8oH79+mnlypUNXT4AAGiEPBpuJGnkyJEaOXKk03m/DiytW7eWMaYBqgIAAOcry98tBQAALiyEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmEGwAAYCmNItxMmzZNrVu3VkBAgHr16qXVq1fX2n7BggXq3LmzAgICdOWVV2rx4sUNVCkAAGjsPB5u5s+fr7S0NGVkZGjNmjXq3r27EhISVFxc7LT9qlWrNHToUA0fPlxr167VkCFDNGTIEP33v/9t4MoBAEBj5PFwM3nyZI0YMUKpqanq2rWrsrKyFBQUpOzsbKftp06dqoEDB+qRRx5Rly5d9Oyzz+rqq6/Wyy+/3MCVAwCAxsjHkxuvqKhQXl6e0tPT7dO8vLwUHx+v3Nxcp8vk5uYqLS3NYVpCQoI++OADp+3Ly8tVXl5uHy8pKZEklZaW1qnWyvKf6tQe505d+84d9HfjQX9fWOjvC0td+vtUW2PMGdt6NNwcOHBAlZWVioiIcJgeERGhTZs2OV2msLDQafvCwkKn7TMzM/X0009Xmx4dHe1m1fC00Jf+4ukS0IDo7wsL/X1hcae/jxw5otDQ0FrbeDTcNIT09HSHIz1VVVX68ccfddFFF8lms3mwsoZVWlqq6Oho7d69WyEhIZ4uB+cY/X1hob8vLBdqfxtjdOTIEV188cVnbOvRcBMWFiZvb28VFRU5TC8qKlJkZKTTZSIjI+vU3t/fX/7+/g7TmjVr5n7R57mQkJAL6pfhQkd/X1jo7wvLhdjfZzpic4pHLyj28/NTbGyscnJy7NOqqqqUk5OjuLg4p8vExcU5tJekZcuW1dgeAABcWDx+WiotLU0pKSnq0aOHevbsqSlTpqisrEypqamSpOTkZEVFRSkzM1OSNGrUKPXr10+TJk3S4MGDNW/ePH3zzTf617/+5cndAAAAjYTHw01SUpL279+vsWPHqrCwUDExMVqyZIn9ouFdu3bJy+uXA0y9e/fWW2+9pSeeeEJ///vf1aFDB33wwQe64oorPLUL5wV/f39lZGRUO0UHa6K/Lyz094WF/j4zm3HlnioAAIDzhMcf4gcAAFCfCDcAAMBSCDcAAMBSCDduOnjwoMLDw7Vjxw5Pl2JJO3bskM1mk81mU0xMjMfqoJ8b1sqVK+39PmTIkAbfPv3dsGbPnm3v7wcffPCcbou+bXyeeuope/9PmTKlXtdNuHHT888/r8TERLVu3brWduvXr1efPn0UEBCg6Oho/eMf/zjjunft2qXBgwcrKChI4eHheuSRR3Ty5EmHNitXrtTVV18tf39/tW/fXrNnz3aY/9lnn+mmm27SxRdfLJvNVuO7t2pz+h+aXw9ff/11jctt27ZNt9xyi1q2bKmQkBDdfvvt1R68+Pzzz6t3794KCgpy+lDF6OhoFRQU6OGHH65z3fXp1/18+pfxr4ea3mQvSWvWrFH//v3VrFkzXXTRRbrnnnt09OhRhzZ/+9vfFBsbK39/f7cDXX5+vv7whz+odevWLn1hjB8/vs5/WObNm+c0fNx9993VPpOBAwc6XUd5ebliYmJks9m0bt06+/TevXuroKBAt99+u8v11Cdnv9d16ZetW7eqadOmdXpQ6MGDB3XJJZfIZrPp8OHD9uk1/f7V9KoZd/ry1PYHDhyoiy++WP7+/oqOjtbIkSMd3vlTUFCgYcOGqWPHjvLy8nJ5G2f6LktKSlJBQUGDPKfs133ryf12xel/+E8NnTt3dmjzr3/9S9ddd51CQkKq/fxIP/8ncfjw4WrTpo0CAwPVrl07ZWRkqKKiotZt33vvvWrXrp0CAwPVsmVLJSYmOrwS6dtvv9XQoUMVHR2twMBAdenSRVOnTq22nmnTpqlLly4KDAxUp06dNHfuXIf5o0ePVkFBgS655JI6fTauINy44dixY3rttdc0fPjwWtuVlpZqwIABuuyyy5SXl6eJEyfqqaeeqvWZPJWVlRo8eLAqKiq0atUqzZkzR7Nnz9bYsWPtbbZv367Bgwfr+uuv17p16/Tggw/qz3/+s5YuXWpvU1ZWpu7du2vatGlu7+epPzSnD3/+85/Vpk0b9ejRw+kyZWVlGjBggGw2m1asWKEvv/xSFRUVuummm1RVVWVvV1FRodtuu0333Xef0/V4e3srMjJSwcHBbtd/tpz186kv49OHhIQE9evXT+Hh4U7Xs2/fPsXHx6t9+/b66quvtGTJEuXn5+vuu++u1vZPf/qTkpKSzqrmtm3bavz48TU+tfuUr7/+WtOnT1e3bt1cXv+OHTs0evRo9enTx+n8gQMHOnw2b7/9ttN2jz76qNNHqPv5+SkyMlKBgYEu11Rfavu9dqVfTpw4oaFDh9b42dRk+PDhtfbB5s2bHT5TZz9n7vTlKV5eXkpMTNSHH36o77//XrNnz9by5cv1l7/88s6f8vJytWzZUk888YS6d+/u0npd+S4LDAxUZGSk/Pz86lx3XTjrW0/ut6suv/xyh77/4osvqu3XwIED9fe//93p8ps2bVJVVZWmT5+u/Px8vfjii8rKyqqx/SmxsbGaNWuWNm7cqKVLl8oYowEDBqiyslKSlJeXp/DwcL3xxhvKz8/X448/rvT0dL388sv2dbz66qtKT0/XU089pfz8fD399NN64IEH9J///MfeJjg4WJGRkfL29q7zZ3NGBnW2YMEC07JlyzO2e+WVV0zz5s1NeXm5fdqYMWNMp06dalxm8eLFxsvLyxQWFtqnvfrqqyYkJMS+nkcffdRcfvnlDsslJSWZhIQEp+uUZN5///0z1nsmFRUVpmXLluaZZ56psc3SpUuNl5eXKSkpsU87fPiwsdlsZtmyZdXaz5o1y4SGhta4voyMDNO9e/ezKdttrvRzcXGx8fX1NXPnzq2xzfTp0014eLiprKy0T1u/fr2RZLZs2VKtfX3t82WXXWZefPFFp/OOHDliOnToYJYtW2b69etnRo0adcb1nTx50vTu3dvMnDnTpKSkmMTERIf5zqY5s3jxYtO5c2eTn59vJJm1a9dWa+PquurTmfr7TP3y6KOPmjvvvPOMP9One+WVV0y/fv1MTk6OkWQOHTpkn/fJJ59Um+aMO315JlOnTjWXXHKJ03mubsOV77K6rtNdrn5nN/R+16Yu3wOu/qwYY8w//vEP06ZNG5frMMaYb7/91kgyW7durbHN/fffb66//nr7eFxcnBk9erRDm7S0NPOb3/ym2rK1fVe5iyM3bvj8888VGxt7xna5ubnq27evw/9KEhIStHnzZh06dKjGZa688kqHN58nJCSotLRU+fn59jbx8fEOyyUkJCg3N9ed3XHZhx9+qIMHD9qfHu1MeXm5bDabw8OlAgIC5OXlVe1/HY2dK/08d+5cBQUF6dZbb62xTXl5ufz8/BweRnnqyISnPpMHHnhAgwcPrvZzVJtnnnlG4eHhtR6xXLlypcLDw9WpUyfdd999OnjwoMP8oqIijRgxQq+//rqCgoLcrv9ccPX32pkVK1ZowYIFdTpS+t133+mZZ57R3LlzHX42fi0mJkatWrVS//799eWXX1ab705f1mbfvn1677331K9fv7NajyvfZQ3Flb5tjPu9ZcsWXXzxxWrbtq3uuOMO7dq166xqk6SSkhK1aNHC5fZlZWWaNWuW2rRpo+joaJfXW15eroCAAIc2gYGBWr16tU6cOFH3wuuIcOOGnTt3uvRW0sLCQocfcEn28ZrOm7uyTE1tSktL9dNPP7m2E2547bXXlJCQUOv50WuvvVZNmjTRmDFjdOzYMZWVlWn06NGqrKxUQUHBOavtXHCln1977TUNGzas1tMov/3tb1VYWKiJEyeqoqJChw4d0mOPPSZJHvlM5s2bpzVr1thfaeKKL774Qq+99ppmzJhRY5uBAwdq7ty5ysnJ0YQJE/Tpp59q0KBB9kPZxhjdfffd+stf/lLjaU1PcvX3+tcOHjyou+++W7Nnz3b5JYbl5eUaOnSoJk6cqEsvvdRpm1atWikrK0v//ve/9e9//1vR0dG67rrrtGbNGnsbd/qyJkOHDlVQUJCioqIUEhKimTNnntX63Pn+O1dq69vGut+9evXS7NmztWTJEr366qvavn27+vTpoyNHjrhd29atW/XSSy/p3nvvPWPbV155RcHBwQoODtb//u//atmyZTWePly1apXmz5+ve+65xz4tISFBM2fOVF5enowx+uabbzRz5kydOHFCBw4ccHsfXEW4ccNPP/1ULZFefvnl9h+EQYMGeaiyc2fPnj1aunTpGa8zatmypRYsWKD//Oc/Cg4OVmhoqA4fPqyrr7661v+dNkbO+vl0ubm52rhx4xk/k8svv1xz5szRpEmTFBQUpMjISLVp00YREREN/pns3r1bo0aN0ptvvlnrvp3uyJEjuuuuuzRjxgyFhYXV2O6Pf/yjbr75Zl155ZUaMmSIPvroI3399ddauXKlJOmll17SkSNHlJ6eXh+7Uu/O1N81GTFihIYNG6a+ffu6vEx6erq6dOmiO++8s8Y2nTp10r333qvY2Fj17t1b2dnZ6t27t1588UVJ7vVlbV588UWtWbNGCxcu1LZt25SWlnbW62wsauvbxrrfgwYN0m233aZu3bopISFBixcv1uHDh/XOO++4tb69e/dq4MCBuu222zRixIgztr/jjju0du1affrpp+rYsaNuv/12HT9+vFq7//73v0pMTFRGRoYGDBhgn/7kk09q0KBBuvbaa+Xr66vExESlpKRIUoN8751ff20aibCwsGqnlRYvXqx169Zp3bp19uQfGRlZ7S6hU+M1XezpyjI1tQkJCTlnF2LOmjVLF110kW6++eYzth0wYIC2bdum4uJiHThwQK+//rr27t2rtm3bnpPazhVn/Xy6mTNnKiYmxqVTGcOGDVNhYaH27t2rgwcP6qmnntL+/fsb/DPJy8tTcXGxrr76avn4+MjHx0effvqp/vnPf8rHx8d+lOV027Zt044dO3TTTTfZl5k7d64+/PBD+fj4aNu2bU631bZtW4WFhWnr1q2Sfj51k5ubK39/f/n4+Kh9+/aSpB49eti/9DzpTP1dkxUrVuiFF16wfzbDhw9XSUmJfHx8lJ2dXeMyCxYssC9zww032GvIyMiocVs9e/a0f57u9GVtIiMj1blzZ918882aPn26Xn311bM6sujO99+5Ulvfni/73axZM3Xs2NHe/3Wxb98+XX/99erdu7fLL5kODQ1Vhw4d1LdvX7377rvatGmT3n//fYc23333nW644Qbdc889euKJJxzmBQYGKjs7W8eOHdOOHTu0a9cutW7dWk2bNlXLli3rvA915fEXZ56PrrrqKr3xxhsO0y677LJq7eLi4vT444/rxIkT8vX1lSQtW7ZMnTp1UvPmzZ2uOy4uTs8//7yKi4vtd0UsW7ZMISEh6tq1q73N4sWLHZZbtmzZObud0hijWbNmKTk52b4frjj1v/wVK1aouLjYpWDUmDjr51OOHj2qd955p86nA04dns7OzlZAQID69+9/1nXWxQ033KANGzY4TEtNTVXnzp01ZswYp3ctdO7cudoyTzzxhI4cOaKpU6fWeB5+z549OnjwoFq1aiVJ+uc//6nnnnvOPn/fvn1KSEjQ/Pnz1atXr7PdtbNWW3/XJjc31yFILFy4UBMmTNCqVasUFRXldJl///vfDqeQv/76a/3pT3/S559/rnbt2tW4rXXr1tk/T3f60lWn7mwsLy93ex2ufJc1FFf7tjHv99GjR7Vt2zbddddddVpu7969uv766+13QLlz1MQYI2OMw+eSn5+v3/72t0pJSdHzzz9f47K+vr72SxnmzZun3/3udw1zxLpeL0++QKxfv974+PiYH3/8sdZ2hw8fNhEREeauu+4y//3vf828efNMUFCQmT59ur3Ne++953D31MmTJ80VV1xhBgwYYNatW2eWLFliWrZsadLT0+1tfvjhBxMUFGQeeeQRs3HjRjNt2jTj7e1tlixZYm9z5MgRs3btWrN27VojyUyePNmsXbvW7Ny5s877u3z5ciPJbNy4sdq8PXv2mE6dOpmvvvrKPi07O9vk5uaarVu3mtdff920aNHCpKWlOSy3c+dOs3btWvP000+b4OBge61HjhxxaOfJu6Vq6+eZM2eagIAAp3cnfPXVV6ZTp05mz5499mkvvfSSycvLM5s3bzYvv/yyCQwMNFOnTnVYbsuWLWbt2rXm3nvvNR07drR/JnW5w6K8vNy+XKtWrczo0aPN2rVrnd6VdYqzu0Duuusu89hjj9W4zK/vZjpy5IgZPXq0yc3NNdu3bzfLly83V199tenQoYM5fvy403Vs3769Ud0tVVN/17VfnN0t9evf819zdrfLiy++aD744AOzZcsWs2HDBjNq1Cjj5eVlli9fXuN63LnraNGiRSY7O9ts2LDBbN++3Xz00UemS5cu1e5qObXfsbGxZtiwYWbt2rUmPz+/xn105bvsbOquC2d92xj2uzYPP/ywWblypdm+fbv58ssvTXx8vAkLCzPFxcX2NgUFBWbt2rVmxowZRpL57LPPzNq1a83BgweNMT9/P7dv397ccMMNZs+ePaagoMA+nPLr7/Bt27aZcePGmW+++cbs3LnTfPnll+amm24yLVq0MEVFRcYYYzZs2GBatmxp7rzzTod1nl7b5s2bzeuvv26+//5789VXX5mkpCTTokULs3379mr7ei7uliLcuKlnz54mKyvrjO2+/fZb8z//8z/G39/fREVFmfHjxzvMnzVrlvl1xtyxY4cZNGiQCQwMNGFhYebhhx82J06ccGjzySefmJiYGOPn52fatm1rZs2aVW2+pGpDSkqKvU1GRoa57LLLzrgPQ4cONb1793Y679QfqE8++cQ+bcyYMSYiIsL4+vqaDh06mEmTJpmqqiqH5VJSUpzWd/p6TtXoqXBjTM39HBcXZ4YNG+Z0mVOf/em/xHfddZdp0aKF8fPzM926dXN663i/fv2cfianr0dStb4+3an++PXQr1+/Gpdx9oelX79+Dj8rv/br8HHs2DEzYMAA07JlS+Pr62suu+wyM2LECIfbYWuqtbGEG2Oc97cr/XI6Z+HG2e/56ZyFmwkTJph27dqZgIAA06JFC3PdddeZFStW1Fq/s75MSUmptf9XrFhh4uLiTGhoqAkICDAdOnQwY8aMqRbcnX0Gp39/uPtdVlPd9e3XfevJ/Xb2vflrSUlJplWrVsbPz89ERUWZpKSkardiZ2RkOK3v1HfEqdqcDTXVsnfvXjNo0CATHh5ufH19zSWXXGKGDRtmNm3adMbtnv65fPfddyYmJsYEBgaakJAQk5iY6LCO0xFuGpFTKf/0Z5ecb5KTk2v9A9YYeDrcNKZ+/uGHH4yPj4/5/vvvPV3KOeepcNOY+ru+9O3b12RkZHi6jFo1RLhpTH27YsUK06xZszMe/b9QnItwwzU3bho8eLC2bNmivXv31nrvf2NljNHKlSsb7bNndu3apa5du6qioqLBz8+frjH18+LFi3XPPfeoQ4cOHq3jXPr88881aNAglZeXa/DgwQ2+/cbU3/WhpKRE27Zt06JFizxdilNvvvmm7r33Xv3000/n/B1yjalvFy9erL///e81Xnt5oRg3bpzGjRunY8eO1fu6bcYYU+9rBc7SyZMn7S+4O/XeF1jfTz/9pL1790r65dHssK4jR47Y7yRq1qxZrY8agPX8+OOP+vHHHyX9/BiR0NDQels34QYAAFgKz7kBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBAACWQrgBUGd33323bDZbtcGdNxafrZUrVzrU0LJlS914443VXioJ4MJBuAHgloEDB6qgoMBhaNOmTZ3WUVlZaX8T89navHmzCgoKtHTpUvsTjisqKupl3QDOL4QbAG7x9/dXZGSkwzB16lRdeeWVatKkiaKjo3X//ffr6NGj9mVmz56tZs2a6cMPP1TXrl3l7++vXbt2qby8XKNHj1ZUVJSaNGmiXr16aeXKlXWqJzw8XJGRkbr66qv14IMPavfu3dq0aZN9/uTJk12qbenSperSpYuCg4PtAe6UkydP6m9/+5uaNWumiy66SGPGjFFKSoqGDBlib1NVVaXMzEy1adNGgYGB6t69u9599926f8AA3Ea4AVBvvLy89M9//lP5+fmaM2eOVqxYoUcffdShzbFjxzRhwgTNnDlT+fn5Cg8P18iRI5Wbm6t58+Zp/fr1uu222zRw4EBt2bKlzjWUlJRo3rx5kiQ/P7861/bCCy/o9ddf12effaZdu3Zp9OjR9vkTJkzQm2++qVmzZunLL79UaWmpPvjgA4d1ZGZmau7cucrKylJ+fr4eeugh3Xnnnfr000/rvC8A3FSvr+EEcEFISUkx3t7epkmTJvbh1ltvrdZuwYIF5qKLLrKPz5o1y0gy69ats0/buXOn8fb2Nnv37nVY9oYbbjDp6elnrOWTTz4xkux1SDKSzM0331zrcjXVtnXrVvu0adOmmYiICPt4RESEmThxon385MmT5tJLL7W/wfz48eMmKCjIrFq1ymFbw4cPN0OHDj3jvgCoH7wVHIBbrr/+er366qv28SZNmmj58uXKzMzUpk2bVFpaqpMnT+r48eM6duyYgoKCJP18NKVbt2725TZs2KDKykp17NjRYf3l5eW66KKLXK7n888/V1BQkP7v//5P48aNU1ZWlsN8V2oLCgpSu3bt7Mu0atVKxcXFkn4+IlRUVKSePXva53t7eys2NtZ+3dDWrVt17Ngx9e/f32HbFRUVuuqqq1zeFwBnh3ADwC1NmjRR+/bt7eM7duzQ7373O9133316/vnn1aJFC33xxRcaPny4Kioq7AEiMDBQNpvNvtzRo0fl7e2tvLw8eXt7O2wjODjY5XratGmjZs2aqVOnTiouLlZSUpI+++yzOtXm6+vrsE6bzSZTh3cLn7qGZ9GiRYqKinKY5+/v7/J6AJwdwg2AepGXl6eqqipNmjRJXl4/X873zjvvnHG5q666SpWVlSouLlafPn3qpZYHHnhAmZmZev/993XLLbe4XdvpQkNDFRERoa+//lp9+/aV9PPdXmvWrFFMTIwkOVwk3a9fv3rZFwB1R7gBUC/at2+vEydO6KWXXtJNN92kL7/8stqpIWc6duyoO+64Q8nJyZo0aZKuuuoq7d+/Xzk5OerWrZsGDx5c51qCgoI0YsQIZWRkaMiQIW7X9mt//etflZmZqfbt26tz58566aWXdOjQIfuRqKZNm2r06NF66KGHVFVVpf/5n/9RSUmJvvzyS4WEhCglJaXO2wRQd9wtBaBedO/eXZMnT9aECRN0xRVX6M0331RmZqZLy86aNUvJycl6+OGH1alTJw0ZMkRff/21Lr30UrfrGTlypDZu3KgFCxacVW2nGzNmjIYOHark5GTFxcUpODhYCQkJCggIsLd59tln9eSTTyozM1NdunTRwIEDtWjRojo/AwiA+2ymLieUAQB2VVVV6tKli26//XY9++yzni4HwP/HaSkAcNHOnTv18ccfq1+/fiovL9fLL7+s7du3a9iwYZ4uDcBpOC0FoFEbNGiQgoODnQ7jxo1r0Fq8vLw0e/ZsXXPNNfrNb36jDRs2aPny5erSpUuD1gGgdpyWAtCo7d27Vz/99JPTeS1atFCLFi0auCIAjR3hBgAAWAqnpQAAgKUQbgAAgKUQbgAAgKUQbgAAgKUQbgAAgKUQbgAAgKUQbgAAgKX8PyOZ80Y3XentAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Divide Fare into 4 bins\n",
    "titanic['Fare_Range'] = pd.qcut(titanic['Fare'], 4)\n",
    "\n",
    "# Barplot - Shows approximate values based\n",
    "# on the height of bars.\n",
    "sns.barplot(x ='Fare_Range', y ='Survived',\n",
    "data = titanic)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f6778a00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x28b2f71f8c0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1572.11x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Countplot\n",
    "sns.catplot(x ='Embarked', hue ='Survived',\n",
    "kind ='count', col ='Pclass', data = titanic)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f9ef28c5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3aeddee7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3113cfcb",
   "metadata": {},
   "outputs": [],
   "source": [
    "datasource=\"https://stackabuse.com/seaborn-library-for-data-visualization-in-python-part-1/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "53f3e571",
   "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>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>sibsp</th>\n",
       "      <th>parch</th>\n",
       "      <th>fare</th>\n",
       "      <th>embarked</th>\n",
       "      <th>class</th>\n",
       "      <th>who</th>\n",
       "      <th>adult_male</th>\n",
       "      <th>deck</th>\n",
       "      <th>embark_town</th>\n",
       "      <th>alive</th>\n",
       "      <th>alone</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>man</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C</td>\n",
       "      <td>First</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>Cherbourg</td>\n",
       "      <td>yes</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>S</td>\n",
       "      <td>First</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>man</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   survived  pclass     sex   age  sibsp  parch     fare embarked  class  \\\n",
       "0         0       3    male  22.0      1      0   7.2500        S  Third   \n",
       "1         1       1  female  38.0      1      0  71.2833        C  First   \n",
       "2         1       3  female  26.0      0      0   7.9250        S  Third   \n",
       "3         1       1  female  35.0      1      0  53.1000        S  First   \n",
       "4         0       3    male  35.0      0      0   8.0500        S  Third   \n",
       "\n",
       "     who  adult_male deck  embark_town alive  alone  \n",
       "0    man        True  NaN  Southampton    no  False  \n",
       "1  woman       False    C    Cherbourg   yes  False  \n",
       "2  woman       False  NaN  Southampton   yes   True  \n",
       "3  woman       False    C  Southampton   yes  False  \n",
       "4    man        True  NaN  Southampton    no   True  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "dataset = sns.load_dataset('titanic')\n",
    "\n",
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4f62e30f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='fare', ylabel='Count'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sns.distplot(dataset['fare']) ///distplot is now depricated\n",
    "sns.histplot(dataset['fare'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d8de5a47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='fare', ylabel='Count'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sns.distplot(dataset['fare'], kde=False) ///distplot is now depricated\n",
    "sns.histplot(dataset['fare'], kde=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d0d2a9d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='fare', ylabel='Count'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sns.distplot(dataset['fare'], kde=False, bins=10) ///distplot is now depricated\n",
    "sns.histplot(dataset['fare'], kde=False, bins=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7f998e44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x28b33bc8b00>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='age', y='fare', data=dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5c0ffeea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x28b351af0b0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='age', y='fare', data=dataset, kind='hex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "065f1486",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}