p8.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e058aaa7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b2ceb29a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8cc87dd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = sns.load_dataset('titanic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f352754e",
   "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": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8808309d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\reliance\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='age'>"
      ]
     },
     "execution_count": 6,
     "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": [
    "sns.distplot(df['age'],kde=False)  # kde false kelyaver density plot yet nahi(area under the curve)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bfaa7ecd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='count'>"
      ]
     },
     "execution_count": 7,
     "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": [
    "sns.countplot(x='sex' , data=df)  # hue third part variable cha basis var split karto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cfe49832",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='fare'>"
      ]
     },
     "execution_count": 8,
     "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": [
    "sns.barplot(x='sex' , y='fare' , data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "293236fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1916e545040>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='age' , y = 'survived' , data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6ef3fc51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1916e6d64f0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='age',y='fare',data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0d851a25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='age'>"
      ]
     },
     "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": [
    "sns.violinplot(x='sex' , y='age',data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "69f6c460",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}