Intro_Pandas_Workshop_CDSS.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Included in this notebook:\n",
    "1. basics of setting up a dataframe\n",
    "2. file I/O\n",
    "3. Groupby\n",
    "4. joins\n",
    "5. sets (union, intersection)\n",
    "6. Cleaning Data\n",
    "7. Functions\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### NumPy Arrays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 4.  2.  3.]\n",
      " [ 3.  2.  1.]\n",
      " [ 1.  3.  3.]]\n"
     ]
    }
   ],
   "source": [
    "Identity = np.identity(3)\n",
    "m1 = np.array([[4,2,3],\n",
    "              [3,2,1],\n",
    "              [1,3,3]])\n",
    "print(np.dot(Identity,m1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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KK7PQrEJ4Dyy3IdAsc+p5O5WjItFHNarbGpb9Naz7BvHCHqf1CgaQAsgk4dY7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\nB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K5nmEmWqZbguAwdDZ3+zTrifZ3B9h6Cf3kMb6eIL/IOFPOwnDQ5bmNxhPgZrOf7kDpi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\nmO4AAAARSURBVFepcptRNfoqVW4z/hNrQxqH09N1jgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106ffff60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "heat_map = np.random.randint(10,size=[100,100])\n",
    "plt.imshow(heat_map,cmap='hot')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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U9RUd1FgLRILZw/Zwm4qUYOHXWe4qUK7qAy6nflUfn2LhVcHsMbcx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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x109007da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "heat_map2 = np.sort(heat_map,axis=0)\n",
    "plt.imshow(heat_map2,cmap='hot')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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bByzfjCHD+jvYzA3I9vwEjdRLK2B5Dpyer+/ik1t+WIefCwl2nsH35vQ8uSd/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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10905ba58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import math\n",
    "heat_map3 = np.zeros((100,100))\n",
    "bulbx,bulby=50,50\n",
    "heat_map3[bulbx,bulby]=200\n",
    "for i in range(0,heat_map.shape[0]):\n",
    "    for j in range(0,heat_map.shape[1]):\n",
    "        heat_map3[i,j]=(200/(4 * math.pi * math.sqrt((bulbx-i)**2 + (bulby-j)**2 + (10)**2)**2))\n",
    "plt.imshow(heat_map3,cmap='hot')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pandas Series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.039402\n",
       "1   -0.818935\n",
       "2    0.043630\n",
       "3    0.603883\n",
       "4    0.612182\n",
       "dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "series = pd.Series(np.random.randn(1000))\n",
    "series.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2015-10-20    0.039402\n",
       "2015-10-21   -0.818935\n",
       "2015-10-22    0.043630\n",
       "2015-10-23    0.603883\n",
       "2015-10-24    0.612182\n",
       "Freq: D, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "series.index = pd.date_range('20151020', periods=1000)\n",
    "series.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pandas Dataframes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>capital</th>\n",
       "      <th>population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [country, capital, population]\n",
       "Index: []"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.DataFrame(columns=['country', 'capital', 'population'])\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "value1 = {'country':'Germany','capital':'Berlin', 'population':82700000}\n",
    "value2 = {'country':'USA','capital':'Washington D.C', 'population':323000000}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>capital</th>\n",
       "      <th>population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Germany</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>82700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>USA</td>\n",
       "      <td>Washington D.C</td>\n",
       "      <td>323000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   country         capital  population\n",
       "0  Germany          Berlin    82700000\n",
       "1      USA  Washington D.C   323000000"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1=df1.append([value1,value2])\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dates = pd.date_range('20171020', periods=6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[4 0 9]\n",
      " [3 1 4]\n",
      " [5 5 5]\n",
      " [4 6 5]\n",
      " [3 0 6]\n",
      " [8 5 8]]\n"
     ]
    }
   ],
   "source": [
    "array = np.random.randint(0,10,18)\n",
    "array.shape=(6,3)\n",
    "print(array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df2 = pd.DataFrame(array, columns = ['A','B','C'], index = dates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-10-20</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-21</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-22</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-23</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-24</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-25</th>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            A  B  C\n",
       "2017-10-20  4  0  9\n",
       "2017-10-21  3  1  4\n",
       "2017-10-22  5  5  5\n",
       "2017-10-23  4  6  5\n",
       "2017-10-24  3  0  6\n",
       "2017-10-25  8  5  8"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### File I/O"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "df_titanic = pd.read_csv('titanic.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pclass</th>\n",
       "      <th>survived</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24160</td>\n",
       "      <td>211.3375</td>\n",
       "      <td>B5</td>\n",
       "      <td>S</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Louis, MO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allison, Master. Hudson Trevor</td>\n",
       "      <td>male</td>\n",
       "      <td>0.9167</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Miss. Helen Loraine</td>\n",
       "      <td>female</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mr. Hudson Joshua Creighton</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>\n",
       "      <td>female</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Anderson, Mr. Harry</td>\n",
       "      <td>male</td>\n",
       "      <td>48.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19952</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>E12</td>\n",
       "      <td>S</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Andrews, Miss. Kornelia Theodosia</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13502</td>\n",
       "      <td>77.9583</td>\n",
       "      <td>D7</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hudson, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Andrews, Mr. Thomas Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>39.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112050</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>A36</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Belfast, NI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Appleton, Mrs. Edward Dale (Charlotte Lamson)</td>\n",
       "      <td>female</td>\n",
       "      <td>53.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>11769</td>\n",
       "      <td>51.4792</td>\n",
       "      <td>C101</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bayside, Queens, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Artagaveytia, Mr. Ramon</td>\n",
       "      <td>male</td>\n",
       "      <td>71.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17609</td>\n",
       "      <td>49.5042</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22</td>\n",
       "      <td>Montevideo, Uruguay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Astor, Col. John Jacob</td>\n",
       "      <td>male</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Astor, Mrs. John Jacob (Madeleine Talmadge Force)</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Aubart, Mme. Leontine Pauline</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17477</td>\n",
       "      <td>69.3000</td>\n",
       "      <td>B35</td>\n",
       "      <td>C</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paris, France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barber, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19877</td>\n",
       "      <td>78.8500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barkworth, Mr. Algernon Henry Wilson</td>\n",
       "      <td>male</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27042</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>A23</td>\n",
       "      <td>S</td>\n",
       "      <td>B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hessle, Yorks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Baumann, Mr. John D</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17318</td>\n",
       "      <td>25.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Baxter, Mr. Quigg Edmond</td>\n",
       "      <td>male</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Baxter, Mrs. James (Helene DeLaudeniere Chaput)</td>\n",
       "      <td>female</td>\n",
       "      <td>50.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bazzani, Miss. Albina</td>\n",
       "      <td>female</td>\n",
       "      <td>32.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11813</td>\n",
       "      <td>76.2917</td>\n",
       "      <td>D15</td>\n",
       "      <td>C</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Beattie, Mr. Thomson</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13050</td>\n",
       "      <td>75.2417</td>\n",
       "      <td>C6</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Winnipeg, MN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mr. Richard Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0000</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",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bidois, Miss. Rosalie</td>\n",
       "      <td>female</td>\n",
       "      <td>42.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bird, Miss. Ellen</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17483</td>\n",
       "      <td>221.7792</td>\n",
       "      <td>C97</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Birnbaum, Mr. Jakob</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13905</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mr. Dickinson H</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mrs. Dickinson H (Helen Walton)</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bissette, Miss. Amelia</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17760</td>\n",
       "      <td>135.6333</td>\n",
       "      <td>C99</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bjornstrom-Steffansson, Mr. Mauritz Hakan</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110564</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C52</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm, Sweden / Washington, DC</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vovk, Mr. Janko</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349252</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Waelens, Mr. Achille</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345767</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antwerp, Belgium / Stanton, OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1282</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Ware, Mr. Frederick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>359309</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1283</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Warren, Mr. Charles William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C.A. 49867</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1284</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Webber, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101316</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1285</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wenzel, Mr. Linhart</td>\n",
       "      <td>male</td>\n",
       "      <td>32.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345775</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>298</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Whabee, Mrs. George Joseph (Shawneene Abi-Saab)</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2688</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Widegren, Mr. Carl/Charles Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>51.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>347064</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Jakob Alfred</td>\n",
       "      <td>male</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101267</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>314</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Karl Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101266</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>363272</td>\n",
       "      <td>7.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1291</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Willer, Mr. Aaron (\"Abi Weller\")</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3410</td>\n",
       "      <td>8.7125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Willey, Mr. Edward</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>S.O./P.P. 751</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Williams, Mr. Howard Hugh \"Harry\"</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 2466</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Williams, Mr. Leslie</td>\n",
       "      <td>male</td>\n",
       "      <td>28.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>54636</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Windelov, Mr. Einar</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101317</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wirz, Mr. Albert</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315154</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiseman, Mr. Phillippe</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/4. 34244</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1298</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wittevrongel, Mr. Camille</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345771</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yasbeck, Mr. Antoni</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Yasbeck, Mrs. Antoni (Selini Alexander)</td>\n",
       "      <td>female</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Youseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>45.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2628</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>312</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1302</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yousif, Mr. Wazli</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2647</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1303</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yousseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2627</td>\n",
       "      <td>14.4583</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zabour, Miss. Hileni</td>\n",
       "      <td>female</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2665</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>328</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zabour, Miss. Thamine</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2665</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Mapriededer</td>\n",
       "      <td>male</td>\n",
       "      <td>26.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2656</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>304</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Ortin</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2670</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zimmerman, Mr. Leo</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315082</td>\n",
       "      <td>7.8750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1310 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass  survived                                               name  \\\n",
       "0          1         1                      Allen, Miss. Elisabeth Walton   \n",
       "1          1         1                     Allison, Master. Hudson Trevor   \n",
       "2          1         0                       Allison, Miss. Helen Loraine   \n",
       "3          1         0               Allison, Mr. Hudson Joshua Creighton   \n",
       "4          1         0    Allison, Mrs. Hudson J C (Bessie Waldo Daniels)   \n",
       "5          1         1                                Anderson, Mr. Harry   \n",
       "6          1         1                  Andrews, Miss. Kornelia Theodosia   \n",
       "7          1         0                             Andrews, Mr. Thomas Jr   \n",
       "8          1         1      Appleton, Mrs. Edward Dale (Charlotte Lamson)   \n",
       "9          1         0                            Artagaveytia, Mr. Ramon   \n",
       "10         1         0                             Astor, Col. John Jacob   \n",
       "11         1         1  Astor, Mrs. John Jacob (Madeleine Talmadge Force)   \n",
       "12         1         1                      Aubart, Mme. Leontine Pauline   \n",
       "13         1         1                       Barber, Miss. Ellen \"Nellie\"   \n",
       "14         1         1               Barkworth, Mr. Algernon Henry Wilson   \n",
       "15         1         0                                Baumann, Mr. John D   \n",
       "16         1         0                           Baxter, Mr. Quigg Edmond   \n",
       "17         1         1    Baxter, Mrs. James (Helene DeLaudeniere Chaput)   \n",
       "18         1         1                              Bazzani, Miss. Albina   \n",
       "19         1         0                               Beattie, Mr. Thomson   \n",
       "20         1         1                      Beckwith, Mr. Richard Leonard   \n",
       "21         1         1   Beckwith, Mrs. Richard Leonard (Sallie Monypeny)   \n",
       "22         1         1                              Behr, Mr. Karl Howell   \n",
       "23         1         1                              Bidois, Miss. Rosalie   \n",
       "24         1         1                                  Bird, Miss. Ellen   \n",
       "25         1         0                                Birnbaum, Mr. Jakob   \n",
       "26         1         1                            Bishop, Mr. Dickinson H   \n",
       "27         1         1            Bishop, Mrs. Dickinson H (Helen Walton)   \n",
       "28         1         1                             Bissette, Miss. Amelia   \n",
       "29         1         1          Bjornstrom-Steffansson, Mr. Mauritz Hakan   \n",
       "...      ...       ...                                                ...   \n",
       "1280       3         0                                    Vovk, Mr. Janko   \n",
       "1281       3         0                               Waelens, Mr. Achille   \n",
       "1282       3         0                                Ware, Mr. Frederick   \n",
       "1283       3         0                        Warren, Mr. Charles William   \n",
       "1284       3         0                                  Webber, Mr. James   \n",
       "1285       3         0                                Wenzel, Mr. Linhart   \n",
       "1286       3         1    Whabee, Mrs. George Joseph (Shawneene Abi-Saab)   \n",
       "1287       3         0                   Widegren, Mr. Carl/Charles Peter   \n",
       "1288       3         0                          Wiklund, Mr. Jakob Alfred   \n",
       "1289       3         0                            Wiklund, Mr. Karl Johan   \n",
       "1290       3         1                   Wilkes, Mrs. James (Ellen Needs)   \n",
       "1291       3         0                   Willer, Mr. Aaron (\"Abi Weller\")   \n",
       "1292       3         0                                 Willey, Mr. Edward   \n",
       "1293       3         0                  Williams, Mr. Howard Hugh \"Harry\"   \n",
       "1294       3         0                               Williams, Mr. Leslie   \n",
       "1295       3         0                                Windelov, Mr. Einar   \n",
       "1296       3         0                                   Wirz, Mr. Albert   \n",
       "1297       3         0                             Wiseman, Mr. Phillippe   \n",
       "1298       3         0                          Wittevrongel, Mr. Camille   \n",
       "1299       3         0                                Yasbeck, Mr. Antoni   \n",
       "1300       3         1            Yasbeck, Mrs. Antoni (Selini Alexander)   \n",
       "1301       3         0                               Youseff, Mr. Gerious   \n",
       "1302       3         0                                  Yousif, Mr. Wazli   \n",
       "1303       3         0                              Yousseff, Mr. Gerious   \n",
       "1304       3         0                               Zabour, Miss. Hileni   \n",
       "1305       3         0                              Zabour, Miss. Thamine   \n",
       "1306       3         0                          Zakarian, Mr. Mapriededer   \n",
       "1307       3         0                                Zakarian, Mr. Ortin   \n",
       "1308       3         0                                 Zimmerman, Mr. Leo   \n",
       "1309     NaN       NaN                                                NaN   \n",
       "\n",
       "         sex      age  sibsp  parch            ticket      fare    cabin  \\\n",
       "0     female  29.0000      0      0             24160  211.3375       B5   \n",
       "1       male   0.9167      1      2            113781  151.5500  C22 C26   \n",
       "2     female   2.0000      1      2            113781  151.5500  C22 C26   \n",
       "3       male  30.0000      1      2            113781  151.5500  C22 C26   \n",
       "4     female  25.0000      1      2            113781  151.5500  C22 C26   \n",
       "5       male  48.0000      0      0             19952   26.5500      E12   \n",
       "6     female  63.0000      1      0             13502   77.9583       D7   \n",
       "7       male  39.0000      0      0            112050    0.0000      A36   \n",
       "8     female  53.0000      2      0             11769   51.4792     C101   \n",
       "9       male  71.0000      0      0          PC 17609   49.5042      NaN   \n",
       "10      male  47.0000      1      0          PC 17757  227.5250  C62 C64   \n",
       "11    female  18.0000      1      0          PC 17757  227.5250  C62 C64   \n",
       "12    female  24.0000      0      0          PC 17477   69.3000      B35   \n",
       "13    female  26.0000      0      0             19877   78.8500      NaN   \n",
       "14      male  80.0000      0      0             27042   30.0000      A23   \n",
       "15      male      NaN      0      0          PC 17318   25.9250      NaN   \n",
       "16      male  24.0000      0      1          PC 17558  247.5208  B58 B60   \n",
       "17    female  50.0000      0      1          PC 17558  247.5208  B58 B60   \n",
       "18    female  32.0000      0      0             11813   76.2917      D15   \n",
       "19      male  36.0000      0      0             13050   75.2417       C6   \n",
       "20      male  37.0000      1      1             11751   52.5542      D35   \n",
       "21    female  47.0000      1      1             11751   52.5542      D35   \n",
       "22      male  26.0000      0      0            111369   30.0000     C148   \n",
       "23    female  42.0000      0      0          PC 17757  227.5250      NaN   \n",
       "24    female  29.0000      0      0          PC 17483  221.7792      C97   \n",
       "25      male  25.0000      0      0             13905   26.0000      NaN   \n",
       "26      male  25.0000      1      0             11967   91.0792      B49   \n",
       "27    female  19.0000      1      0             11967   91.0792      B49   \n",
       "28    female  35.0000      0      0          PC 17760  135.6333      C99   \n",
       "29      male  28.0000      0      0            110564   26.5500      C52   \n",
       "...      ...      ...    ...    ...               ...       ...      ...   \n",
       "1280    male  22.0000      0      0            349252    7.8958      NaN   \n",
       "1281    male  22.0000      0      0            345767    9.0000      NaN   \n",
       "1282    male      NaN      0      0            359309    8.0500      NaN   \n",
       "1283    male      NaN      0      0        C.A. 49867    7.5500      NaN   \n",
       "1284    male      NaN      0      0  SOTON/OQ 3101316    8.0500      NaN   \n",
       "1285    male  32.5000      0      0            345775    9.5000      NaN   \n",
       "1286  female  38.0000      0      0              2688    7.2292      NaN   \n",
       "1287    male  51.0000      0      0            347064    7.7500      NaN   \n",
       "1288    male  18.0000      1      0           3101267    6.4958      NaN   \n",
       "1289    male  21.0000      1      0           3101266    6.4958      NaN   \n",
       "1290  female  47.0000      1      0            363272    7.0000      NaN   \n",
       "1291    male      NaN      0      0              3410    8.7125      NaN   \n",
       "1292    male      NaN      0      0     S.O./P.P. 751    7.5500      NaN   \n",
       "1293    male      NaN      0      0          A/5 2466    8.0500      NaN   \n",
       "1294    male  28.5000      0      0             54636   16.1000      NaN   \n",
       "1295    male  21.0000      0      0  SOTON/OQ 3101317    7.2500      NaN   \n",
       "1296    male  27.0000      0      0            315154    8.6625      NaN   \n",
       "1297    male      NaN      0      0        A/4. 34244    7.2500      NaN   \n",
       "1298    male  36.0000      0      0            345771    9.5000      NaN   \n",
       "1299    male  27.0000      1      0              2659   14.4542      NaN   \n",
       "1300  female  15.0000      1      0              2659   14.4542      NaN   \n",
       "1301    male  45.5000      0      0              2628    7.2250      NaN   \n",
       "1302    male      NaN      0      0              2647    7.2250      NaN   \n",
       "1303    male      NaN      0      0              2627   14.4583      NaN   \n",
       "1304  female  14.5000      1      0              2665   14.4542      NaN   \n",
       "1305  female      NaN      1      0              2665   14.4542      NaN   \n",
       "1306    male  26.5000      0      0              2656    7.2250      NaN   \n",
       "1307    male  27.0000      0      0              2670    7.2250      NaN   \n",
       "1308    male  29.0000      0      0            315082    7.8750      NaN   \n",
       "1309     NaN      NaN    NaN    NaN               NaN       NaN      NaN   \n",
       "\n",
       "     embarked boat  body                           home.dest  \n",
       "0           S    2   NaN                        St Louis, MO  \n",
       "1           S   11   NaN     Montreal, PQ / Chesterville, ON  \n",
       "2           S  NaN   NaN     Montreal, PQ / Chesterville, ON  \n",
       "3           S  NaN   135     Montreal, PQ / Chesterville, ON  \n",
       "4           S  NaN   NaN     Montreal, PQ / Chesterville, ON  \n",
       "5           S    3   NaN                        New York, NY  \n",
       "6           S   10   NaN                          Hudson, NY  \n",
       "7           S  NaN   NaN                         Belfast, NI  \n",
       "8           S    D   NaN                 Bayside, Queens, NY  \n",
       "9           C  NaN    22                 Montevideo, Uruguay  \n",
       "10          C  NaN   124                        New York, NY  \n",
       "11          C    4   NaN                        New York, NY  \n",
       "12          C    9   NaN                       Paris, France  \n",
       "13          S    6   NaN                                 NaN  \n",
       "14          S    B   NaN                       Hessle, Yorks  \n",
       "15          S  NaN   NaN                        New York, NY  \n",
       "16          C  NaN   NaN                        Montreal, PQ  \n",
       "17          C    6   NaN                        Montreal, PQ  \n",
       "18          C    8   NaN                                 NaN  \n",
       "19          C    A   NaN                        Winnipeg, MN  \n",
       "20          S    5   NaN                        New York, NY  \n",
       "21          S    5   NaN                        New York, NY  \n",
       "22          C    5   NaN                        New York, NY  \n",
       "23          C    4   NaN                                 NaN  \n",
       "24          S    8   NaN                                 NaN  \n",
       "25          C  NaN   148                   San Francisco, CA  \n",
       "26          C    7   NaN                        Dowagiac, MI  \n",
       "27          C    7   NaN                        Dowagiac, MI  \n",
       "28          S    8   NaN                                 NaN  \n",
       "29          S    D   NaN  Stockholm, Sweden / Washington, DC  \n",
       "...       ...  ...   ...                                 ...  \n",
       "1280        S  NaN   NaN                                 NaN  \n",
       "1281        S  NaN   NaN      Antwerp, Belgium / Stanton, OH  \n",
       "1282        S  NaN   NaN                                 NaN  \n",
       "1283        S  NaN   NaN                                 NaN  \n",
       "1284        S  NaN   NaN                                 NaN  \n",
       "1285        S  NaN   298                                 NaN  \n",
       "1286        C    C   NaN                                 NaN  \n",
       "1287        S  NaN   NaN                                 NaN  \n",
       "1288        S  NaN   314                                 NaN  \n",
       "1289        S  NaN   NaN                                 NaN  \n",
       "1290        S  NaN   NaN                                 NaN  \n",
       "1291        S  NaN   NaN                                 NaN  \n",
       "1292        S  NaN   NaN                                 NaN  \n",
       "1293        S  NaN   NaN                                 NaN  \n",
       "1294        S  NaN    14                                 NaN  \n",
       "1295        S  NaN   NaN                                 NaN  \n",
       "1296        S  NaN   131                                 NaN  \n",
       "1297        S  NaN   NaN                                 NaN  \n",
       "1298        S  NaN   NaN                                 NaN  \n",
       "1299        C    C   NaN                                 NaN  \n",
       "1300        C  NaN   NaN                                 NaN  \n",
       "1301        C  NaN   312                                 NaN  \n",
       "1302        C  NaN   NaN                                 NaN  \n",
       "1303        C  NaN   NaN                                 NaN  \n",
       "1304        C  NaN   328                                 NaN  \n",
       "1305        C  NaN   NaN                                 NaN  \n",
       "1306        C  NaN   304                                 NaN  \n",
       "1307        C  NaN   NaN                                 NaN  \n",
       "1308        S  NaN   NaN                                 NaN  \n",
       "1309      NaN  NaN   NaN                                 NaN  \n",
       "\n",
       "[1310 rows x 14 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_titanic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_titanic.to_csv('titanic2.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Groupby"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pclass</th>\n",
       "      <th>survived</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24160</td>\n",
       "      <td>211.3375</td>\n",
       "      <td>B5</td>\n",
       "      <td>S</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Louis, MO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allison, Master. Hudson Trevor</td>\n",
       "      <td>male</td>\n",
       "      <td>0.9167</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Anderson, Mr. Harry</td>\n",
       "      <td>male</td>\n",
       "      <td>48.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19952</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>E12</td>\n",
       "      <td>S</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Andrews, Miss. Kornelia Theodosia</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13502</td>\n",
       "      <td>77.9583</td>\n",
       "      <td>D7</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hudson, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Appleton, Mrs. Edward Dale (Charlotte Lamson)</td>\n",
       "      <td>female</td>\n",
       "      <td>53.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>11769</td>\n",
       "      <td>51.4792</td>\n",
       "      <td>C101</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bayside, Queens, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Astor, Mrs. John Jacob (Madeleine Talmadge Force)</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Aubart, Mme. Leontine Pauline</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17477</td>\n",
       "      <td>69.3000</td>\n",
       "      <td>B35</td>\n",
       "      <td>C</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paris, France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barber, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19877</td>\n",
       "      <td>78.8500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barkworth, Mr. Algernon Henry Wilson</td>\n",
       "      <td>male</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27042</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>A23</td>\n",
       "      <td>S</td>\n",
       "      <td>B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hessle, Yorks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Baxter, Mrs. James (Helene DeLaudeniere Chaput)</td>\n",
       "      <td>female</td>\n",
       "      <td>50.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bazzani, Miss. Albina</td>\n",
       "      <td>female</td>\n",
       "      <td>32.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11813</td>\n",
       "      <td>76.2917</td>\n",
       "      <td>D15</td>\n",
       "      <td>C</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mr. Richard Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0000</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",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bidois, Miss. Rosalie</td>\n",
       "      <td>female</td>\n",
       "      <td>42.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bird, Miss. Ellen</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17483</td>\n",
       "      <td>221.7792</td>\n",
       "      <td>C97</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mr. Dickinson H</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mrs. Dickinson H (Helen Walton)</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bissette, Miss. Amelia</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17760</td>\n",
       "      <td>135.6333</td>\n",
       "      <td>C99</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bjornstrom-Steffansson, Mr. Mauritz Hakan</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110564</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C52</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm, Sweden / Washington, DC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Blank, Mr. Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>40.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112277</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>A31</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Glen Ridge, NJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bonnell, Miss. Caroline</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36928</td>\n",
       "      <td>164.8667</td>\n",
       "      <td>C7</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Youngstown, OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bonnell, Miss. Elizabeth</td>\n",
       "      <td>female</td>\n",
       "      <td>58.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113783</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C103</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Birkdale, England Cleveland, Ohio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bowen, Miss. Grace Scott</td>\n",
       "      <td>female</td>\n",
       "      <td>45.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17608</td>\n",
       "      <td>262.3750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Cooperstown, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bowerman, Miss. Elsie Edith</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>113505</td>\n",
       "      <td>55.0000</td>\n",
       "      <td>E33</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Leonards-on-Sea, England Ohio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bradley, Mr. George (\"George Arthur Brayton\")</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>111427</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Brown, Mrs. James Joseph (Margaret Tobin)</td>\n",
       "      <td>female</td>\n",
       "      <td>44.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17610</td>\n",
       "      <td>27.7208</td>\n",
       "      <td>B4</td>\n",
       "      <td>C</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Denver, CO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Brown, Mrs. John Murray (Caroline Lane Lamson)</td>\n",
       "      <td>female</td>\n",
       "      <td>59.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>11769</td>\n",
       "      <td>51.4792</td>\n",
       "      <td>C101</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Belmont, MA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bucknell, Mrs. William Robert (Emma Eliza Ward)</td>\n",
       "      <td>female</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11813</td>\n",
       "      <td>76.2917</td>\n",
       "      <td>D15</td>\n",
       "      <td>C</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Philadelphia, PA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Burns, Miss. Elizabeth Margaret</td>\n",
       "      <td>female</td>\n",
       "      <td>41.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16966</td>\n",
       "      <td>134.5000</td>\n",
       "      <td>E40</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1159</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Roth, Miss. Sarah A</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>342712</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1162</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Ryan, Mr. Edward</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>383162</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Salkjelsvik, Miss. Anna Kristine</td>\n",
       "      <td>female</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>343120</td>\n",
       "      <td>7.6500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1187</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sandstrom, Miss. Beatrice Irene</td>\n",
       "      <td>female</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>PP 9549</td>\n",
       "      <td>16.7000</td>\n",
       "      <td>G6</td>\n",
       "      <td>S</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1188</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengt...</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>PP 9549</td>\n",
       "      <td>16.7000</td>\n",
       "      <td>G6</td>\n",
       "      <td>S</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1189</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sandstrom, Miss. Marguerite Rut</td>\n",
       "      <td>female</td>\n",
       "      <td>4.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>PP 9549</td>\n",
       "      <td>16.7000</td>\n",
       "      <td>G6</td>\n",
       "      <td>S</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1190</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sap, Mr. Julius</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345768</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1196</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sheerlinck, Mr. Jan Baptist</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345779</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1198</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Shine, Miss. Ellen Natalia</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330968</td>\n",
       "      <td>7.7792</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1205</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sjoblom, Miss. Anna Sofia</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3101265</td>\n",
       "      <td>7.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1216</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Smyth, Miss. Julia</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>335432</td>\n",
       "      <td>7.7333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1223</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Stanley, Miss. Amy Zillah Elsie</td>\n",
       "      <td>female</td>\n",
       "      <td>23.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>CA. 2314</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1228</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Stranden, Mr. Juho</td>\n",
       "      <td>male</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O 2. 3101288</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1232</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunderland, Mr. Victor Francis</td>\n",
       "      <td>male</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 392089</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1233</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sundman, Mr. Johan Julian</td>\n",
       "      <td>male</td>\n",
       "      <td>44.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O 2. 3101269</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Svensson, Mr. Johan Cervin</td>\n",
       "      <td>male</td>\n",
       "      <td>14.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7538</td>\n",
       "      <td>9.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1238</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Tenglin, Mr. Gunnar Isidor</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350033</td>\n",
       "      <td>7.7958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>13 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1240</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Thomas, Master. Assad Alexander</td>\n",
       "      <td>male</td>\n",
       "      <td>0.4167</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2625</td>\n",
       "      <td>8.5167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1244</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Thomas, Mrs. Alexander (Thamine \"Thelma\")</td>\n",
       "      <td>female</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2625</td>\n",
       "      <td>8.5167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1247</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Thorneycroft, Mrs. Percival (Florence Kate White)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>376564</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1254</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Tornquist, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>LINE</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1256</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Touma, Master. Georges Youssef</td>\n",
       "      <td>male</td>\n",
       "      <td>7.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2650</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1257</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Touma, Miss. Maria Youssef</td>\n",
       "      <td>female</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2650</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1258</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Touma, Mrs. Darwis (Hanne Youssef Razi)</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2650</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1260</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Turja, Miss. Anna Sofia</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4138</td>\n",
       "      <td>9.8417</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1261</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Turkula, Mrs. (Hedwig)</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4134</td>\n",
       "      <td>9.5875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1277</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Vartanian, Mr. David</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2658</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>13 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Whabee, Mrs. George Joseph (Shawneene Abi-Saab)</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2688</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>363272</td>\n",
       "      <td>7.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Yasbeck, Mrs. Antoni (Selini Alexander)</td>\n",
       "      <td>female</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>500 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass  survived                                               name  \\\n",
       "0          1         1                      Allen, Miss. Elisabeth Walton   \n",
       "1          1         1                     Allison, Master. Hudson Trevor   \n",
       "5          1         1                                Anderson, Mr. Harry   \n",
       "6          1         1                  Andrews, Miss. Kornelia Theodosia   \n",
       "8          1         1      Appleton, Mrs. Edward Dale (Charlotte Lamson)   \n",
       "11         1         1  Astor, Mrs. John Jacob (Madeleine Talmadge Force)   \n",
       "12         1         1                      Aubart, Mme. Leontine Pauline   \n",
       "13         1         1                       Barber, Miss. Ellen \"Nellie\"   \n",
       "14         1         1               Barkworth, Mr. Algernon Henry Wilson   \n",
       "17         1         1    Baxter, Mrs. James (Helene DeLaudeniere Chaput)   \n",
       "18         1         1                              Bazzani, Miss. Albina   \n",
       "20         1         1                      Beckwith, Mr. Richard Leonard   \n",
       "21         1         1   Beckwith, Mrs. Richard Leonard (Sallie Monypeny)   \n",
       "22         1         1                              Behr, Mr. Karl Howell   \n",
       "23         1         1                              Bidois, Miss. Rosalie   \n",
       "24         1         1                                  Bird, Miss. Ellen   \n",
       "26         1         1                            Bishop, Mr. Dickinson H   \n",
       "27         1         1            Bishop, Mrs. Dickinson H (Helen Walton)   \n",
       "28         1         1                             Bissette, Miss. Amelia   \n",
       "29         1         1          Bjornstrom-Steffansson, Mr. Mauritz Hakan   \n",
       "31         1         1                                   Blank, Mr. Henry   \n",
       "32         1         1                            Bonnell, Miss. Caroline   \n",
       "33         1         1                           Bonnell, Miss. Elizabeth   \n",
       "35         1         1                           Bowen, Miss. Grace Scott   \n",
       "36         1         1                        Bowerman, Miss. Elsie Edith   \n",
       "37         1         1      Bradley, Mr. George (\"George Arthur Brayton\")   \n",
       "41         1         1          Brown, Mrs. James Joseph (Margaret Tobin)   \n",
       "42         1         1     Brown, Mrs. John Murray (Caroline Lane Lamson)   \n",
       "43         1         1    Bucknell, Mrs. William Robert (Emma Eliza Ward)   \n",
       "44         1         1                    Burns, Miss. Elizabeth Margaret   \n",
       "...      ...       ...                                                ...   \n",
       "1159       3         1                                Roth, Miss. Sarah A   \n",
       "1162       3         1                                   Ryan, Mr. Edward   \n",
       "1182       3         1                   Salkjelsvik, Miss. Anna Kristine   \n",
       "1187       3         1                    Sandstrom, Miss. Beatrice Irene   \n",
       "1188       3         1  Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengt...   \n",
       "1189       3         1                    Sandstrom, Miss. Marguerite Rut   \n",
       "1190       3         1                                    Sap, Mr. Julius   \n",
       "1196       3         1                        Sheerlinck, Mr. Jan Baptist   \n",
       "1198       3         1                         Shine, Miss. Ellen Natalia   \n",
       "1205       3         1                          Sjoblom, Miss. Anna Sofia   \n",
       "1216       3         1                                 Smyth, Miss. Julia   \n",
       "1223       3         1                    Stanley, Miss. Amy Zillah Elsie   \n",
       "1228       3         1                                 Stranden, Mr. Juho   \n",
       "1232       3         1                     Sunderland, Mr. Victor Francis   \n",
       "1233       3         1                          Sundman, Mr. Johan Julian   \n",
       "1236       3         1                         Svensson, Mr. Johan Cervin   \n",
       "1238       3         1                         Tenglin, Mr. Gunnar Isidor   \n",
       "1240       3         1                    Thomas, Master. Assad Alexander   \n",
       "1244       3         1          Thomas, Mrs. Alexander (Thamine \"Thelma\")   \n",
       "1247       3         1  Thorneycroft, Mrs. Percival (Florence Kate White)   \n",
       "1254       3         1                       Tornquist, Mr. William Henry   \n",
       "1256       3         1                     Touma, Master. Georges Youssef   \n",
       "1257       3         1                         Touma, Miss. Maria Youssef   \n",
       "1258       3         1            Touma, Mrs. Darwis (Hanne Youssef Razi)   \n",
       "1260       3         1                            Turja, Miss. Anna Sofia   \n",
       "1261       3         1                             Turkula, Mrs. (Hedwig)   \n",
       "1277       3         1                               Vartanian, Mr. David   \n",
       "1286       3         1    Whabee, Mrs. George Joseph (Shawneene Abi-Saab)   \n",
       "1290       3         1                   Wilkes, Mrs. James (Ellen Needs)   \n",
       "1300       3         1            Yasbeck, Mrs. Antoni (Selini Alexander)   \n",
       "\n",
       "         sex      age  sibsp  parch             ticket      fare    cabin  \\\n",
       "0     female  29.0000      0      0              24160  211.3375       B5   \n",
       "1       male   0.9167      1      2             113781  151.5500  C22 C26   \n",
       "5       male  48.0000      0      0              19952   26.5500      E12   \n",
       "6     female  63.0000      1      0              13502   77.9583       D7   \n",
       "8     female  53.0000      2      0              11769   51.4792     C101   \n",
       "11    female  18.0000      1      0           PC 17757  227.5250  C62 C64   \n",
       "12    female  24.0000      0      0           PC 17477   69.3000      B35   \n",
       "13    female  26.0000      0      0              19877   78.8500      NaN   \n",
       "14      male  80.0000      0      0              27042   30.0000      A23   \n",
       "17    female  50.0000      0      1           PC 17558  247.5208  B58 B60   \n",
       "18    female  32.0000      0      0              11813   76.2917      D15   \n",
       "20      male  37.0000      1      1              11751   52.5542      D35   \n",
       "21    female  47.0000      1      1              11751   52.5542      D35   \n",
       "22      male  26.0000      0      0             111369   30.0000     C148   \n",
       "23    female  42.0000      0      0           PC 17757  227.5250      NaN   \n",
       "24    female  29.0000      0      0           PC 17483  221.7792      C97   \n",
       "26      male  25.0000      1      0              11967   91.0792      B49   \n",
       "27    female  19.0000      1      0              11967   91.0792      B49   \n",
       "28    female  35.0000      0      0           PC 17760  135.6333      C99   \n",
       "29      male  28.0000      0      0             110564   26.5500      C52   \n",
       "31      male  40.0000      0      0             112277   31.0000      A31   \n",
       "32    female  30.0000      0      0              36928  164.8667       C7   \n",
       "33    female  58.0000      0      0             113783   26.5500     C103   \n",
       "35    female  45.0000      0      0           PC 17608  262.3750      NaN   \n",
       "36    female  22.0000      0      1             113505   55.0000      E33   \n",
       "37      male      NaN      0      0             111427   26.5500      NaN   \n",
       "41    female  44.0000      0      0           PC 17610   27.7208       B4   \n",
       "42    female  59.0000      2      0              11769   51.4792     C101   \n",
       "43    female  60.0000      0      0              11813   76.2917      D15   \n",
       "44    female  41.0000      0      0              16966  134.5000      E40   \n",
       "...      ...      ...    ...    ...                ...       ...      ...   \n",
       "1159  female      NaN      0      0             342712    8.0500      NaN   \n",
       "1162    male      NaN      0      0             383162    7.7500      NaN   \n",
       "1182  female  21.0000      0      0             343120    7.6500      NaN   \n",
       "1187  female   1.0000      1      1            PP 9549   16.7000       G6   \n",
       "1188  female  24.0000      0      2            PP 9549   16.7000       G6   \n",
       "1189  female   4.0000      1      1            PP 9549   16.7000       G6   \n",
       "1190    male  25.0000      0      0             345768    9.5000      NaN   \n",
       "1196    male  29.0000      0      0             345779    9.5000      NaN   \n",
       "1198  female      NaN      0      0             330968    7.7792      NaN   \n",
       "1205  female  18.0000      0      0            3101265    7.4958      NaN   \n",
       "1216  female      NaN      0      0             335432    7.7333      NaN   \n",
       "1223  female  23.0000      0      0           CA. 2314    7.5500      NaN   \n",
       "1228    male  31.0000      0      0  STON/O 2. 3101288    7.9250      NaN   \n",
       "1232    male  16.0000      0      0    SOTON/OQ 392089    8.0500      NaN   \n",
       "1233    male  44.0000      0      0  STON/O 2. 3101269    7.9250      NaN   \n",
       "1236    male  14.0000      0      0               7538    9.2250      NaN   \n",
       "1238    male  25.0000      0      0             350033    7.7958      NaN   \n",
       "1240    male   0.4167      0      1               2625    8.5167      NaN   \n",
       "1244  female  16.0000      1      1               2625    8.5167      NaN   \n",
       "1247  female      NaN      1      0             376564   16.1000      NaN   \n",
       "1254    male  25.0000      0      0               LINE    0.0000      NaN   \n",
       "1256    male   7.0000      1      1               2650   15.2458      NaN   \n",
       "1257  female   9.0000      1      1               2650   15.2458      NaN   \n",
       "1258  female  29.0000      0      2               2650   15.2458      NaN   \n",
       "1260  female  18.0000      0      0               4138    9.8417      NaN   \n",
       "1261  female  63.0000      0      0               4134    9.5875      NaN   \n",
       "1277    male  22.0000      0      0               2658    7.2250      NaN   \n",
       "1286  female  38.0000      0      0               2688    7.2292      NaN   \n",
       "1290  female  47.0000      1      0             363272    7.0000      NaN   \n",
       "1300  female  15.0000      1      0               2659   14.4542      NaN   \n",
       "\n",
       "     embarked   boat  body                           home.dest  \n",
       "0           S      2   NaN                        St Louis, MO  \n",
       "1           S     11   NaN     Montreal, PQ / Chesterville, ON  \n",
       "5           S      3   NaN                        New York, NY  \n",
       "6           S     10   NaN                          Hudson, NY  \n",
       "8           S      D   NaN                 Bayside, Queens, NY  \n",
       "11          C      4   NaN                        New York, NY  \n",
       "12          C      9   NaN                       Paris, France  \n",
       "13          S      6   NaN                                 NaN  \n",
       "14          S      B   NaN                       Hessle, Yorks  \n",
       "17          C      6   NaN                        Montreal, PQ  \n",
       "18          C      8   NaN                                 NaN  \n",
       "20          S      5   NaN                        New York, NY  \n",
       "21          S      5   NaN                        New York, NY  \n",
       "22          C      5   NaN                        New York, NY  \n",
       "23          C      4   NaN                                 NaN  \n",
       "24          S      8   NaN                                 NaN  \n",
       "26          C      7   NaN                        Dowagiac, MI  \n",
       "27          C      7   NaN                        Dowagiac, MI  \n",
       "28          S      8   NaN                                 NaN  \n",
       "29          S      D   NaN  Stockholm, Sweden / Washington, DC  \n",
       "31          C      7   NaN                      Glen Ridge, NJ  \n",
       "32          S      8   NaN                      Youngstown, OH  \n",
       "33          S      8   NaN   Birkdale, England Cleveland, Ohio  \n",
       "35          C      4   NaN                     Cooperstown, NY  \n",
       "36          S      6   NaN    St Leonards-on-Sea, England Ohio  \n",
       "37          S      9   NaN                     Los Angeles, CA  \n",
       "41          C      6   NaN                          Denver, CO  \n",
       "42          S      D   NaN                         Belmont, MA  \n",
       "43          C      8   NaN                    Philadelphia, PA  \n",
       "44          C      3   NaN                                 NaN  \n",
       "...       ...    ...   ...                                 ...  \n",
       "1159        S      C   NaN                                 NaN  \n",
       "1162        Q     14   NaN                                 NaN  \n",
       "1182        S      C   NaN                                 NaN  \n",
       "1187        S     13   NaN                                 NaN  \n",
       "1188        S     13   NaN                                 NaN  \n",
       "1189        S     13   NaN                                 NaN  \n",
       "1190        S     11   NaN                                 NaN  \n",
       "1196        S     11   NaN                                 NaN  \n",
       "1198        Q    NaN   NaN                                 NaN  \n",
       "1205        S     16   NaN                                 NaN  \n",
       "1216        Q     13   NaN                                 NaN  \n",
       "1223        S      C   NaN                                 NaN  \n",
       "1228        S      9   NaN                                 NaN  \n",
       "1232        S      B   NaN                                 NaN  \n",
       "1233        S     15   NaN                                 NaN  \n",
       "1236        S     13   NaN                                 NaN  \n",
       "1238        S  13 15   NaN                                 NaN  \n",
       "1240        C     16   NaN                                 NaN  \n",
       "1244        C     14   NaN                                 NaN  \n",
       "1247        S     10   NaN                                 NaN  \n",
       "1254        S     15   NaN                                 NaN  \n",
       "1256        C      C   NaN                                 NaN  \n",
       "1257        C      C   NaN                                 NaN  \n",
       "1258        C      C   NaN                                 NaN  \n",
       "1260        S     15   NaN                                 NaN  \n",
       "1261        S     15   NaN                                 NaN  \n",
       "1277        C  13 15   NaN                                 NaN  \n",
       "1286        C      C   NaN                                 NaN  \n",
       "1290        S    NaN   NaN                                 NaN  \n",
       "1300        C    NaN   NaN                                 NaN  \n",
       "\n",
       "[500 rows x 14 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#retrieve a specific group\n",
    "df_titanic.groupby('survived').get_group(1) #all survivorst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pclass</th>\n",
       "      <th>survived</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24160</td>\n",
       "      <td>211.3375</td>\n",
       "      <td>B5</td>\n",
       "      <td>S</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Louis, MO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allison, Master. Hudson Trevor</td>\n",
       "      <td>male</td>\n",
       "      <td>0.9167</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Anderson, Mr. Harry</td>\n",
       "      <td>male</td>\n",
       "      <td>48.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19952</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>E12</td>\n",
       "      <td>S</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Andrews, Miss. Kornelia Theodosia</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13502</td>\n",
       "      <td>77.9583</td>\n",
       "      <td>D7</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hudson, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Appleton, Mrs. Edward Dale (Charlotte Lamson)</td>\n",
       "      <td>female</td>\n",
       "      <td>53.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>11769</td>\n",
       "      <td>51.4792</td>\n",
       "      <td>C101</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bayside, Queens, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Astor, Mrs. John Jacob (Madeleine Talmadge Force)</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Aubart, Mme. Leontine Pauline</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17477</td>\n",
       "      <td>69.3000</td>\n",
       "      <td>B35</td>\n",
       "      <td>C</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paris, France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barber, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19877</td>\n",
       "      <td>78.8500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barkworth, Mr. Algernon Henry Wilson</td>\n",
       "      <td>male</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27042</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>A23</td>\n",
       "      <td>S</td>\n",
       "      <td>B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hessle, Yorks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Baxter, Mrs. James (Helene DeLaudeniere Chaput)</td>\n",
       "      <td>female</td>\n",
       "      <td>50.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bazzani, Miss. Albina</td>\n",
       "      <td>female</td>\n",
       "      <td>32.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11813</td>\n",
       "      <td>76.2917</td>\n",
       "      <td>D15</td>\n",
       "      <td>C</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mr. Richard Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0000</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",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bidois, Miss. Rosalie</td>\n",
       "      <td>female</td>\n",
       "      <td>42.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bird, Miss. Ellen</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17483</td>\n",
       "      <td>221.7792</td>\n",
       "      <td>C97</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mr. Dickinson H</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mrs. Dickinson H (Helen Walton)</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bissette, Miss. Amelia</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17760</td>\n",
       "      <td>135.6333</td>\n",
       "      <td>C99</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bjornstrom-Steffansson, Mr. Mauritz Hakan</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110564</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C52</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm, Sweden / Washington, DC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Blank, Mr. Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>40.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112277</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>A31</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Glen Ridge, NJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bonnell, Miss. Caroline</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36928</td>\n",
       "      <td>164.8667</td>\n",
       "      <td>C7</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Youngstown, OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bonnell, Miss. Elizabeth</td>\n",
       "      <td>female</td>\n",
       "      <td>58.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113783</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C103</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Birkdale, England Cleveland, Ohio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bowen, Miss. Grace Scott</td>\n",
       "      <td>female</td>\n",
       "      <td>45.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17608</td>\n",
       "      <td>262.3750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Cooperstown, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bowerman, Miss. Elsie Edith</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>113505</td>\n",
       "      <td>55.0000</td>\n",
       "      <td>E33</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Leonards-on-Sea, England Ohio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bradley, Mr. George (\"George Arthur Brayton\")</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>111427</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Brown, Mrs. James Joseph (Margaret Tobin)</td>\n",
       "      <td>female</td>\n",
       "      <td>44.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17610</td>\n",
       "      <td>27.7208</td>\n",
       "      <td>B4</td>\n",
       "      <td>C</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Denver, CO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Brown, Mrs. John Murray (Caroline Lane Lamson)</td>\n",
       "      <td>female</td>\n",
       "      <td>59.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>11769</td>\n",
       "      <td>51.4792</td>\n",
       "      <td>C101</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Belmont, MA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bucknell, Mrs. William Robert (Emma Eliza Ward)</td>\n",
       "      <td>female</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11813</td>\n",
       "      <td>76.2917</td>\n",
       "      <td>D15</td>\n",
       "      <td>C</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Philadelphia, PA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Burns, Miss. Elizabeth Margaret</td>\n",
       "      <td>female</td>\n",
       "      <td>41.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16966</td>\n",
       "      <td>134.5000</td>\n",
       "      <td>E40</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1159</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Roth, Miss. Sarah A</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>342712</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1162</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Ryan, Mr. Edward</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>383162</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Salkjelsvik, Miss. Anna Kristine</td>\n",
       "      <td>female</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>343120</td>\n",
       "      <td>7.6500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1187</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sandstrom, Miss. Beatrice Irene</td>\n",
       "      <td>female</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>PP 9549</td>\n",
       "      <td>16.7000</td>\n",
       "      <td>G6</td>\n",
       "      <td>S</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1188</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengt...</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>PP 9549</td>\n",
       "      <td>16.7000</td>\n",
       "      <td>G6</td>\n",
       "      <td>S</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1189</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sandstrom, Miss. Marguerite Rut</td>\n",
       "      <td>female</td>\n",
       "      <td>4.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>PP 9549</td>\n",
       "      <td>16.7000</td>\n",
       "      <td>G6</td>\n",
       "      <td>S</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1190</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sap, Mr. Julius</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345768</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1196</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sheerlinck, Mr. Jan Baptist</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345779</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1198</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Shine, Miss. Ellen Natalia</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330968</td>\n",
       "      <td>7.7792</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1205</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sjoblom, Miss. Anna Sofia</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3101265</td>\n",
       "      <td>7.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1216</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Smyth, Miss. Julia</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>335432</td>\n",
       "      <td>7.7333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1223</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Stanley, Miss. Amy Zillah Elsie</td>\n",
       "      <td>female</td>\n",
       "      <td>23.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>CA. 2314</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1228</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Stranden, Mr. Juho</td>\n",
       "      <td>male</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O 2. 3101288</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1232</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunderland, Mr. Victor Francis</td>\n",
       "      <td>male</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 392089</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1233</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sundman, Mr. Johan Julian</td>\n",
       "      <td>male</td>\n",
       "      <td>44.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O 2. 3101269</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Svensson, Mr. Johan Cervin</td>\n",
       "      <td>male</td>\n",
       "      <td>14.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7538</td>\n",
       "      <td>9.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1238</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Tenglin, Mr. Gunnar Isidor</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350033</td>\n",
       "      <td>7.7958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>13 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1240</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Thomas, Master. Assad Alexander</td>\n",
       "      <td>male</td>\n",
       "      <td>0.4167</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2625</td>\n",
       "      <td>8.5167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1244</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Thomas, Mrs. Alexander (Thamine \"Thelma\")</td>\n",
       "      <td>female</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2625</td>\n",
       "      <td>8.5167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1247</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Thorneycroft, Mrs. Percival (Florence Kate White)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>376564</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1254</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Tornquist, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>LINE</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1256</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Touma, Master. Georges Youssef</td>\n",
       "      <td>male</td>\n",
       "      <td>7.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2650</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1257</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Touma, Miss. Maria Youssef</td>\n",
       "      <td>female</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2650</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1258</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Touma, Mrs. Darwis (Hanne Youssef Razi)</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2650</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1260</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Turja, Miss. Anna Sofia</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4138</td>\n",
       "      <td>9.8417</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1261</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Turkula, Mrs. (Hedwig)</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4134</td>\n",
       "      <td>9.5875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1277</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Vartanian, Mr. David</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2658</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>13 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Whabee, Mrs. George Joseph (Shawneene Abi-Saab)</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2688</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>363272</td>\n",
       "      <td>7.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Yasbeck, Mrs. Antoni (Selini Alexander)</td>\n",
       "      <td>female</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>500 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass  survived                                               name  \\\n",
       "0          1         1                      Allen, Miss. Elisabeth Walton   \n",
       "1          1         1                     Allison, Master. Hudson Trevor   \n",
       "5          1         1                                Anderson, Mr. Harry   \n",
       "6          1         1                  Andrews, Miss. Kornelia Theodosia   \n",
       "8          1         1      Appleton, Mrs. Edward Dale (Charlotte Lamson)   \n",
       "11         1         1  Astor, Mrs. John Jacob (Madeleine Talmadge Force)   \n",
       "12         1         1                      Aubart, Mme. Leontine Pauline   \n",
       "13         1         1                       Barber, Miss. Ellen \"Nellie\"   \n",
       "14         1         1               Barkworth, Mr. Algernon Henry Wilson   \n",
       "17         1         1    Baxter, Mrs. James (Helene DeLaudeniere Chaput)   \n",
       "18         1         1                              Bazzani, Miss. Albina   \n",
       "20         1         1                      Beckwith, Mr. Richard Leonard   \n",
       "21         1         1   Beckwith, Mrs. Richard Leonard (Sallie Monypeny)   \n",
       "22         1         1                              Behr, Mr. Karl Howell   \n",
       "23         1         1                              Bidois, Miss. Rosalie   \n",
       "24         1         1                                  Bird, Miss. Ellen   \n",
       "26         1         1                            Bishop, Mr. Dickinson H   \n",
       "27         1         1            Bishop, Mrs. Dickinson H (Helen Walton)   \n",
       "28         1         1                             Bissette, Miss. Amelia   \n",
       "29         1         1          Bjornstrom-Steffansson, Mr. Mauritz Hakan   \n",
       "31         1         1                                   Blank, Mr. Henry   \n",
       "32         1         1                            Bonnell, Miss. Caroline   \n",
       "33         1         1                           Bonnell, Miss. Elizabeth   \n",
       "35         1         1                           Bowen, Miss. Grace Scott   \n",
       "36         1         1                        Bowerman, Miss. Elsie Edith   \n",
       "37         1         1      Bradley, Mr. George (\"George Arthur Brayton\")   \n",
       "41         1         1          Brown, Mrs. James Joseph (Margaret Tobin)   \n",
       "42         1         1     Brown, Mrs. John Murray (Caroline Lane Lamson)   \n",
       "43         1         1    Bucknell, Mrs. William Robert (Emma Eliza Ward)   \n",
       "44         1         1                    Burns, Miss. Elizabeth Margaret   \n",
       "...      ...       ...                                                ...   \n",
       "1159       3         1                                Roth, Miss. Sarah A   \n",
       "1162       3         1                                   Ryan, Mr. Edward   \n",
       "1182       3         1                   Salkjelsvik, Miss. Anna Kristine   \n",
       "1187       3         1                    Sandstrom, Miss. Beatrice Irene   \n",
       "1188       3         1  Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengt...   \n",
       "1189       3         1                    Sandstrom, Miss. Marguerite Rut   \n",
       "1190       3         1                                    Sap, Mr. Julius   \n",
       "1196       3         1                        Sheerlinck, Mr. Jan Baptist   \n",
       "1198       3         1                         Shine, Miss. Ellen Natalia   \n",
       "1205       3         1                          Sjoblom, Miss. Anna Sofia   \n",
       "1216       3         1                                 Smyth, Miss. Julia   \n",
       "1223       3         1                    Stanley, Miss. Amy Zillah Elsie   \n",
       "1228       3         1                                 Stranden, Mr. Juho   \n",
       "1232       3         1                     Sunderland, Mr. Victor Francis   \n",
       "1233       3         1                          Sundman, Mr. Johan Julian   \n",
       "1236       3         1                         Svensson, Mr. Johan Cervin   \n",
       "1238       3         1                         Tenglin, Mr. Gunnar Isidor   \n",
       "1240       3         1                    Thomas, Master. Assad Alexander   \n",
       "1244       3         1          Thomas, Mrs. Alexander (Thamine \"Thelma\")   \n",
       "1247       3         1  Thorneycroft, Mrs. Percival (Florence Kate White)   \n",
       "1254       3         1                       Tornquist, Mr. William Henry   \n",
       "1256       3         1                     Touma, Master. Georges Youssef   \n",
       "1257       3         1                         Touma, Miss. Maria Youssef   \n",
       "1258       3         1            Touma, Mrs. Darwis (Hanne Youssef Razi)   \n",
       "1260       3         1                            Turja, Miss. Anna Sofia   \n",
       "1261       3         1                             Turkula, Mrs. (Hedwig)   \n",
       "1277       3         1                               Vartanian, Mr. David   \n",
       "1286       3         1    Whabee, Mrs. George Joseph (Shawneene Abi-Saab)   \n",
       "1290       3         1                   Wilkes, Mrs. James (Ellen Needs)   \n",
       "1300       3         1            Yasbeck, Mrs. Antoni (Selini Alexander)   \n",
       "\n",
       "         sex      age  sibsp  parch             ticket      fare    cabin  \\\n",
       "0     female  29.0000      0      0              24160  211.3375       B5   \n",
       "1       male   0.9167      1      2             113781  151.5500  C22 C26   \n",
       "5       male  48.0000      0      0              19952   26.5500      E12   \n",
       "6     female  63.0000      1      0              13502   77.9583       D7   \n",
       "8     female  53.0000      2      0              11769   51.4792     C101   \n",
       "11    female  18.0000      1      0           PC 17757  227.5250  C62 C64   \n",
       "12    female  24.0000      0      0           PC 17477   69.3000      B35   \n",
       "13    female  26.0000      0      0              19877   78.8500      NaN   \n",
       "14      male  80.0000      0      0              27042   30.0000      A23   \n",
       "17    female  50.0000      0      1           PC 17558  247.5208  B58 B60   \n",
       "18    female  32.0000      0      0              11813   76.2917      D15   \n",
       "20      male  37.0000      1      1              11751   52.5542      D35   \n",
       "21    female  47.0000      1      1              11751   52.5542      D35   \n",
       "22      male  26.0000      0      0             111369   30.0000     C148   \n",
       "23    female  42.0000      0      0           PC 17757  227.5250      NaN   \n",
       "24    female  29.0000      0      0           PC 17483  221.7792      C97   \n",
       "26      male  25.0000      1      0              11967   91.0792      B49   \n",
       "27    female  19.0000      1      0              11967   91.0792      B49   \n",
       "28    female  35.0000      0      0           PC 17760  135.6333      C99   \n",
       "29      male  28.0000      0      0             110564   26.5500      C52   \n",
       "31      male  40.0000      0      0             112277   31.0000      A31   \n",
       "32    female  30.0000      0      0              36928  164.8667       C7   \n",
       "33    female  58.0000      0      0             113783   26.5500     C103   \n",
       "35    female  45.0000      0      0           PC 17608  262.3750      NaN   \n",
       "36    female  22.0000      0      1             113505   55.0000      E33   \n",
       "37      male      NaN      0      0             111427   26.5500      NaN   \n",
       "41    female  44.0000      0      0           PC 17610   27.7208       B4   \n",
       "42    female  59.0000      2      0              11769   51.4792     C101   \n",
       "43    female  60.0000      0      0              11813   76.2917      D15   \n",
       "44    female  41.0000      0      0              16966  134.5000      E40   \n",
       "...      ...      ...    ...    ...                ...       ...      ...   \n",
       "1159  female      NaN      0      0             342712    8.0500      NaN   \n",
       "1162    male      NaN      0      0             383162    7.7500      NaN   \n",
       "1182  female  21.0000      0      0             343120    7.6500      NaN   \n",
       "1187  female   1.0000      1      1            PP 9549   16.7000       G6   \n",
       "1188  female  24.0000      0      2            PP 9549   16.7000       G6   \n",
       "1189  female   4.0000      1      1            PP 9549   16.7000       G6   \n",
       "1190    male  25.0000      0      0             345768    9.5000      NaN   \n",
       "1196    male  29.0000      0      0             345779    9.5000      NaN   \n",
       "1198  female      NaN      0      0             330968    7.7792      NaN   \n",
       "1205  female  18.0000      0      0            3101265    7.4958      NaN   \n",
       "1216  female      NaN      0      0             335432    7.7333      NaN   \n",
       "1223  female  23.0000      0      0           CA. 2314    7.5500      NaN   \n",
       "1228    male  31.0000      0      0  STON/O 2. 3101288    7.9250      NaN   \n",
       "1232    male  16.0000      0      0    SOTON/OQ 392089    8.0500      NaN   \n",
       "1233    male  44.0000      0      0  STON/O 2. 3101269    7.9250      NaN   \n",
       "1236    male  14.0000      0      0               7538    9.2250      NaN   \n",
       "1238    male  25.0000      0      0             350033    7.7958      NaN   \n",
       "1240    male   0.4167      0      1               2625    8.5167      NaN   \n",
       "1244  female  16.0000      1      1               2625    8.5167      NaN   \n",
       "1247  female      NaN      1      0             376564   16.1000      NaN   \n",
       "1254    male  25.0000      0      0               LINE    0.0000      NaN   \n",
       "1256    male   7.0000      1      1               2650   15.2458      NaN   \n",
       "1257  female   9.0000      1      1               2650   15.2458      NaN   \n",
       "1258  female  29.0000      0      2               2650   15.2458      NaN   \n",
       "1260  female  18.0000      0      0               4138    9.8417      NaN   \n",
       "1261  female  63.0000      0      0               4134    9.5875      NaN   \n",
       "1277    male  22.0000      0      0               2658    7.2250      NaN   \n",
       "1286  female  38.0000      0      0               2688    7.2292      NaN   \n",
       "1290  female  47.0000      1      0             363272    7.0000      NaN   \n",
       "1300  female  15.0000      1      0               2659   14.4542      NaN   \n",
       "\n",
       "     embarked   boat  body                           home.dest  \n",
       "0           S      2   NaN                        St Louis, MO  \n",
       "1           S     11   NaN     Montreal, PQ / Chesterville, ON  \n",
       "5           S      3   NaN                        New York, NY  \n",
       "6           S     10   NaN                          Hudson, NY  \n",
       "8           S      D   NaN                 Bayside, Queens, NY  \n",
       "11          C      4   NaN                        New York, NY  \n",
       "12          C      9   NaN                       Paris, France  \n",
       "13          S      6   NaN                                 NaN  \n",
       "14          S      B   NaN                       Hessle, Yorks  \n",
       "17          C      6   NaN                        Montreal, PQ  \n",
       "18          C      8   NaN                                 NaN  \n",
       "20          S      5   NaN                        New York, NY  \n",
       "21          S      5   NaN                        New York, NY  \n",
       "22          C      5   NaN                        New York, NY  \n",
       "23          C      4   NaN                                 NaN  \n",
       "24          S      8   NaN                                 NaN  \n",
       "26          C      7   NaN                        Dowagiac, MI  \n",
       "27          C      7   NaN                        Dowagiac, MI  \n",
       "28          S      8   NaN                                 NaN  \n",
       "29          S      D   NaN  Stockholm, Sweden / Washington, DC  \n",
       "31          C      7   NaN                      Glen Ridge, NJ  \n",
       "32          S      8   NaN                      Youngstown, OH  \n",
       "33          S      8   NaN   Birkdale, England Cleveland, Ohio  \n",
       "35          C      4   NaN                     Cooperstown, NY  \n",
       "36          S      6   NaN    St Leonards-on-Sea, England Ohio  \n",
       "37          S      9   NaN                     Los Angeles, CA  \n",
       "41          C      6   NaN                          Denver, CO  \n",
       "42          S      D   NaN                         Belmont, MA  \n",
       "43          C      8   NaN                    Philadelphia, PA  \n",
       "44          C      3   NaN                                 NaN  \n",
       "...       ...    ...   ...                                 ...  \n",
       "1159        S      C   NaN                                 NaN  \n",
       "1162        Q     14   NaN                                 NaN  \n",
       "1182        S      C   NaN                                 NaN  \n",
       "1187        S     13   NaN                                 NaN  \n",
       "1188        S     13   NaN                                 NaN  \n",
       "1189        S     13   NaN                                 NaN  \n",
       "1190        S     11   NaN                                 NaN  \n",
       "1196        S     11   NaN                                 NaN  \n",
       "1198        Q    NaN   NaN                                 NaN  \n",
       "1205        S     16   NaN                                 NaN  \n",
       "1216        Q     13   NaN                                 NaN  \n",
       "1223        S      C   NaN                                 NaN  \n",
       "1228        S      9   NaN                                 NaN  \n",
       "1232        S      B   NaN                                 NaN  \n",
       "1233        S     15   NaN                                 NaN  \n",
       "1236        S     13   NaN                                 NaN  \n",
       "1238        S  13 15   NaN                                 NaN  \n",
       "1240        C     16   NaN                                 NaN  \n",
       "1244        C     14   NaN                                 NaN  \n",
       "1247        S     10   NaN                                 NaN  \n",
       "1254        S     15   NaN                                 NaN  \n",
       "1256        C      C   NaN                                 NaN  \n",
       "1257        C      C   NaN                                 NaN  \n",
       "1258        C      C   NaN                                 NaN  \n",
       "1260        S     15   NaN                                 NaN  \n",
       "1261        S     15   NaN                                 NaN  \n",
       "1277        C  13 15   NaN                                 NaN  \n",
       "1286        C      C   NaN                                 NaN  \n",
       "1290        S    NaN   NaN                                 NaN  \n",
       "1300        C    NaN   NaN                                 NaN  \n",
       "\n",
       "[500 rows x 14 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#it could also be done like this:\n",
    "df_titanic.loc[df_titanic.survived == 1]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0\n",
      "2                            Allison, Miss. Helen Loraine\n",
      "3                    Allison, Mr. Hudson Joshua Creighton\n",
      "4         Allison, Mrs. Hudson J C (Bessie Waldo Daniels)\n",
      "7                                  Andrews, Mr. Thomas Jr\n",
      "9                                 Artagaveytia, Mr. Ramon\n",
      "10                                 Astor, Col. John Jacob\n",
      "15                                    Baumann, Mr. John D\n",
      "16                               Baxter, Mr. Quigg Edmond\n",
      "19                                   Beattie, Mr. Thomson\n",
      "25                                    Birnbaum, Mr. Jakob\n",
      "30                           Blackwell, Mr. Stephen Weart\n",
      "34                               Borebank, Mr. John James\n",
      "38                                Brady, Mr. John Bertram\n",
      "39                                     Brandeis, Mr. Emil\n",
      "40                              Brewe, Dr. Arthur Jackson\n",
      "45                      Butt, Major. Archibald Willingham\n",
      "46                                  Cairns, Mr. Alexander\n",
      "51                               Carlsson, Mr. Frans Olof\n",
      "52                                Carrau, Mr. Francisco M\n",
      "53                                 Carrau, Mr. Jose Pedro\n",
      "58                                 Case, Mr. Howard Brown\n",
      "60                          Cavendish, Mr. Tyrell William\n",
      "62                            Chaffee, Mr. Herbert Fuller\n",
      "70                  Chisholm, Mr. Roderick Robert Crispin\n",
      "71                               Clark, Mr. Walter Miller\n",
      "74                            Clifford, Mr. George Quincy\n",
      "75                             Colley, Mr. Edward Pomeroy\n",
      "77                       Compton, Mr. Alexander Taylor Jr\n",
      "80                              Crafton, Mr. John Bertram\n",
      "81                           Crosby, Capt. Edward Gifford\n",
      "                              ...                        \n",
      "1275                      Vander Planke, Mr. Leo Edmondus\n",
      "1276    Vander Planke, Mrs. Julius (Emelia Maria Vande...\n",
      "1278                               Vendel, Mr. Olof Edvin\n",
      "1279                 Vestrom, Miss. Hulda Amanda Adolfina\n",
      "1280                                      Vovk, Mr. Janko\n",
      "1281                                 Waelens, Mr. Achille\n",
      "1282                                  Ware, Mr. Frederick\n",
      "1283                          Warren, Mr. Charles William\n",
      "1284                                    Webber, Mr. James\n",
      "1285                                  Wenzel, Mr. Linhart\n",
      "1287                     Widegren, Mr. Carl/Charles Peter\n",
      "1288                            Wiklund, Mr. Jakob Alfred\n",
      "1289                              Wiklund, Mr. Karl Johan\n",
      "1291                     Willer, Mr. Aaron (\"Abi Weller\")\n",
      "1292                                   Willey, Mr. Edward\n",
      "1293                    Williams, Mr. Howard Hugh \"Harry\"\n",
      "1294                                 Williams, Mr. Leslie\n",
      "1295                                  Windelov, Mr. Einar\n",
      "1296                                     Wirz, Mr. Albert\n",
      "1297                               Wiseman, Mr. Phillippe\n",
      "1298                            Wittevrongel, Mr. Camille\n",
      "1299                                  Yasbeck, Mr. Antoni\n",
      "1301                                 Youseff, Mr. Gerious\n",
      "1302                                    Yousif, Mr. Wazli\n",
      "1303                                Yousseff, Mr. Gerious\n",
      "1304                                 Zabour, Miss. Hileni\n",
      "1305                                Zabour, Miss. Thamine\n",
      "1306                            Zakarian, Mr. Mapriededer\n",
      "1307                                  Zakarian, Mr. Ortin\n",
      "1308                                   Zimmerman, Mr. Leo\n",
      "Name: name, dtype: object\n",
      "1.0\n",
      "0                           Allen, Miss. Elisabeth Walton\n",
      "1                          Allison, Master. Hudson Trevor\n",
      "5                                     Anderson, Mr. Harry\n",
      "6                       Andrews, Miss. Kornelia Theodosia\n",
      "8           Appleton, Mrs. Edward Dale (Charlotte Lamson)\n",
      "11      Astor, Mrs. John Jacob (Madeleine Talmadge Force)\n",
      "12                          Aubart, Mme. Leontine Pauline\n",
      "13                           Barber, Miss. Ellen \"Nellie\"\n",
      "14                   Barkworth, Mr. Algernon Henry Wilson\n",
      "17        Baxter, Mrs. James (Helene DeLaudeniere Chaput)\n",
      "18                                  Bazzani, Miss. Albina\n",
      "20                          Beckwith, Mr. Richard Leonard\n",
      "21       Beckwith, Mrs. Richard Leonard (Sallie Monypeny)\n",
      "22                                  Behr, Mr. Karl Howell\n",
      "23                                  Bidois, Miss. Rosalie\n",
      "24                                      Bird, Miss. Ellen\n",
      "26                                Bishop, Mr. Dickinson H\n",
      "27                Bishop, Mrs. Dickinson H (Helen Walton)\n",
      "28                                 Bissette, Miss. Amelia\n",
      "29              Bjornstrom-Steffansson, Mr. Mauritz Hakan\n",
      "31                                       Blank, Mr. Henry\n",
      "32                                Bonnell, Miss. Caroline\n",
      "33                               Bonnell, Miss. Elizabeth\n",
      "35                               Bowen, Miss. Grace Scott\n",
      "36                            Bowerman, Miss. Elsie Edith\n",
      "37          Bradley, Mr. George (\"George Arthur Brayton\")\n",
      "41              Brown, Mrs. James Joseph (Margaret Tobin)\n",
      "42         Brown, Mrs. John Murray (Caroline Lane Lamson)\n",
      "43        Bucknell, Mrs. William Robert (Emma Eliza Ward)\n",
      "44                        Burns, Miss. Elizabeth Margaret\n",
      "                              ...                        \n",
      "1159                                  Roth, Miss. Sarah A\n",
      "1162                                     Ryan, Mr. Edward\n",
      "1182                     Salkjelsvik, Miss. Anna Kristine\n",
      "1187                      Sandstrom, Miss. Beatrice Irene\n",
      "1188    Sandstrom, Mrs. Hjalmar (Agnes Charlotta Bengt...\n",
      "1189                      Sandstrom, Miss. Marguerite Rut\n",
      "1190                                      Sap, Mr. Julius\n",
      "1196                          Sheerlinck, Mr. Jan Baptist\n",
      "1198                           Shine, Miss. Ellen Natalia\n",
      "1205                            Sjoblom, Miss. Anna Sofia\n",
      "1216                                   Smyth, Miss. Julia\n",
      "1223                      Stanley, Miss. Amy Zillah Elsie\n",
      "1228                                   Stranden, Mr. Juho\n",
      "1232                       Sunderland, Mr. Victor Francis\n",
      "1233                            Sundman, Mr. Johan Julian\n",
      "1236                           Svensson, Mr. Johan Cervin\n",
      "1238                           Tenglin, Mr. Gunnar Isidor\n",
      "1240                      Thomas, Master. Assad Alexander\n",
      "1244            Thomas, Mrs. Alexander (Thamine \"Thelma\")\n",
      "1247    Thorneycroft, Mrs. Percival (Florence Kate White)\n",
      "1254                         Tornquist, Mr. William Henry\n",
      "1256                       Touma, Master. Georges Youssef\n",
      "1257                           Touma, Miss. Maria Youssef\n",
      "1258              Touma, Mrs. Darwis (Hanne Youssef Razi)\n",
      "1260                              Turja, Miss. Anna Sofia\n",
      "1261                               Turkula, Mrs. (Hedwig)\n",
      "1277                                 Vartanian, Mr. David\n",
      "1286      Whabee, Mrs. George Joseph (Shawneene Abi-Saab)\n",
      "1290                     Wilkes, Mrs. James (Ellen Needs)\n",
      "1300              Yasbeck, Mrs. Antoni (Selini Alexander)\n",
      "Name: name, dtype: object\n"
     ]
    }
   ],
   "source": [
    "#show all members of a group\n",
    "g1 = df_titanic.groupby('survived')\n",
    "for i,j in g1:\n",
    "    print(i)\n",
    "    print(j.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0\n",
      "30.54536882067851\n",
      "1.0\n",
      "28.918228103044495\n"
     ]
    }
   ],
   "source": [
    "#group by combined with a method\n",
    "for i, j in g1:\n",
    "    print(i)\n",
    "    print(j.age.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_titanic['fare_range']=pd.cut(df_titanic.fare, bins=[-1,0,10,20,50,100,int(df_titanic.fare.max()+1)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "g2=df_titanic.groupby(df_titanic.fare_range)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(-1, 0]\n",
      "17\n",
      "(0, 10]\n",
      "474\n",
      "(10, 20]\n",
      "261\n",
      "(20, 50]\n",
      "316\n",
      "(50, 100]\n",
      "156\n",
      "(100, 513]\n",
      "84\n"
     ]
    }
   ],
   "source": [
    "for i,j in g2:\n",
    "    print(i)\n",
    "    print(j.name.count())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#the iterative, inefficient way\n",
    "l1=[]\n",
    "l2=[]\n",
    "for i,j in g2:\n",
    "    l1.append(i)\n",
    "    l2.append(j.name.count())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "l1[0]=0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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fTwA+Dnx/37p3Ld2+/6OlM/WJvuhpjd4M/F63/A+B26pqoaoWgAP0XpW7oqr6YlXdBzy9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\nEENdkhry/wHZSjcdzBrxOQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106ffbe80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objects =l1\n",
    "y_pos = np.arange(len(l1))\n",
    "plt.xticks(y_pos,objects)\n",
    "plt.bar(y_pos,l2,align='center', alpha=0.5)\n",
    "plt.xlabel('Fare Range')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1070cc860>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1070d0a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#the pandas way\n",
    "g2['name'].count().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Joins/ Merges"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Whats the difference? \n",
    "1. Merge does an inner join by default, while join does a left join.\n",
    "2. Join by default joins on the index of the two dataframes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Make sure you have an index/ID Column to ensure a correct result\n",
    "df_titanic.index.rename('ID', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "passengers = df_titanic[['name','sex', 'age']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "found_bodies = df_titanic[['body']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>body</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Allison, Master. Hudson Trevor</td>\n",
       "      <td>male</td>\n",
       "      <td>0.9167</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Allison, Miss. Helen Loraine</td>\n",
       "      <td>female</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Allison, Mr. Hudson Joshua Creighton</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>\n",
       "      <td>female</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Anderson, Mr. Harry</td>\n",
       "      <td>male</td>\n",
       "      <td>48.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Andrews, Miss. Kornelia Theodosia</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Andrews, Mr. Thomas Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>39.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Appleton, Mrs. Edward Dale (Charlotte Lamson)</td>\n",
       "      <td>female</td>\n",
       "      <td>53.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Artagaveytia, Mr. Ramon</td>\n",
       "      <td>male</td>\n",
       "      <td>71.0000</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Astor, Col. John Jacob</td>\n",
       "      <td>male</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Astor, Mrs. John Jacob (Madeleine Talmadge Force)</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Aubart, Mme. Leontine Pauline</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Barber, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Barkworth, Mr. Algernon Henry Wilson</td>\n",
       "      <td>male</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Baumann, Mr. John D</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Baxter, Mr. Quigg Edmond</td>\n",
       "      <td>male</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Baxter, Mrs. James (Helene DeLaudeniere Chaput)</td>\n",
       "      <td>female</td>\n",
       "      <td>50.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Bazzani, Miss. Albina</td>\n",
       "      <td>female</td>\n",
       "      <td>32.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Beattie, Mr. Thomson</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Beckwith, Mr. Richard Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Bidois, Miss. Rosalie</td>\n",
       "      <td>female</td>\n",
       "      <td>42.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Bird, Miss. Ellen</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Birnbaum, Mr. Jakob</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Bishop, Mr. Dickinson H</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Bishop, Mrs. Dickinson H (Helen Walton)</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Bissette, Miss. Amelia</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Bjornstrom-Steffansson, Mr. Mauritz Hakan</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>Vovk, Mr. Janko</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>Waelens, Mr. Achille</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1282</th>\n",
       "      <td>Ware, Mr. Frederick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1283</th>\n",
       "      <td>Warren, Mr. Charles William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1284</th>\n",
       "      <td>Webber, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1285</th>\n",
       "      <td>Wenzel, Mr. Linhart</td>\n",
       "      <td>male</td>\n",
       "      <td>32.5000</td>\n",
       "      <td>298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>Whabee, Mrs. George Joseph (Shawneene Abi-Saab)</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>Widegren, Mr. Carl/Charles Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>51.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>Wiklund, Mr. Jakob Alfred</td>\n",
       "      <td>male</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>Wiklund, Mr. Karl Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1291</th>\n",
       "      <td>Willer, Mr. Aaron (\"Abi Weller\")</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>Willey, Mr. Edward</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>Williams, Mr. Howard Hugh \"Harry\"</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>Williams, Mr. Leslie</td>\n",
       "      <td>male</td>\n",
       "      <td>28.5000</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>Windelov, Mr. Einar</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>Wirz, Mr. Albert</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>Wiseman, Mr. Phillippe</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1298</th>\n",
       "      <td>Wittevrongel, Mr. Camille</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>Yasbeck, Mr. Antoni</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>Yasbeck, Mrs. Antoni (Selini Alexander)</td>\n",
       "      <td>female</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>Youseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>45.5000</td>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1302</th>\n",
       "      <td>Yousif, Mr. Wazli</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1303</th>\n",
       "      <td>Yousseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304</th>\n",
       "      <td>Zabour, Miss. Hileni</td>\n",
       "      <td>female</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305</th>\n",
       "      <td>Zabour, Miss. Thamine</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>Zakarian, Mr. Mapriededer</td>\n",
       "      <td>male</td>\n",
       "      <td>26.5000</td>\n",
       "      <td>304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>Zakarian, Mr. Ortin</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>Zimmerman, Mr. Leo</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1310 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   name     sex      age  body\n",
       "ID                                                                            \n",
       "0                         Allen, Miss. Elisabeth Walton  female  29.0000   NaN\n",
       "1                        Allison, Master. Hudson Trevor    male   0.9167   NaN\n",
       "2                          Allison, Miss. Helen Loraine  female   2.0000   NaN\n",
       "3                  Allison, Mr. Hudson Joshua Creighton    male  30.0000   135\n",
       "4       Allison, Mrs. Hudson J C (Bessie Waldo Daniels)  female  25.0000   NaN\n",
       "5                                   Anderson, Mr. Harry    male  48.0000   NaN\n",
       "6                     Andrews, Miss. Kornelia Theodosia  female  63.0000   NaN\n",
       "7                                Andrews, Mr. Thomas Jr    male  39.0000   NaN\n",
       "8         Appleton, Mrs. Edward Dale (Charlotte Lamson)  female  53.0000   NaN\n",
       "9                               Artagaveytia, Mr. Ramon    male  71.0000    22\n",
       "10                               Astor, Col. John Jacob    male  47.0000   124\n",
       "11    Astor, Mrs. John Jacob (Madeleine Talmadge Force)  female  18.0000   NaN\n",
       "12                        Aubart, Mme. Leontine Pauline  female  24.0000   NaN\n",
       "13                         Barber, Miss. Ellen \"Nellie\"  female  26.0000   NaN\n",
       "14                 Barkworth, Mr. Algernon Henry Wilson    male  80.0000   NaN\n",
       "15                                  Baumann, Mr. John D    male      NaN   NaN\n",
       "16                             Baxter, Mr. Quigg Edmond    male  24.0000   NaN\n",
       "17      Baxter, Mrs. James (Helene DeLaudeniere Chaput)  female  50.0000   NaN\n",
       "18                                Bazzani, Miss. Albina  female  32.0000   NaN\n",
       "19                                 Beattie, Mr. Thomson    male  36.0000   NaN\n",
       "20                        Beckwith, Mr. Richard Leonard    male  37.0000   NaN\n",
       "21     Beckwith, Mrs. Richard Leonard (Sallie Monypeny)  female  47.0000   NaN\n",
       "22                                Behr, Mr. Karl Howell    male  26.0000   NaN\n",
       "23                                Bidois, Miss. Rosalie  female  42.0000   NaN\n",
       "24                                    Bird, Miss. Ellen  female  29.0000   NaN\n",
       "25                                  Birnbaum, Mr. Jakob    male  25.0000   148\n",
       "26                              Bishop, Mr. Dickinson H    male  25.0000   NaN\n",
       "27              Bishop, Mrs. Dickinson H (Helen Walton)  female  19.0000   NaN\n",
       "28                               Bissette, Miss. Amelia  female  35.0000   NaN\n",
       "29            Bjornstrom-Steffansson, Mr. Mauritz Hakan    male  28.0000   NaN\n",
       "...                                                 ...     ...      ...   ...\n",
       "1280                                    Vovk, Mr. Janko    male  22.0000   NaN\n",
       "1281                               Waelens, Mr. Achille    male  22.0000   NaN\n",
       "1282                                Ware, Mr. Frederick    male      NaN   NaN\n",
       "1283                        Warren, Mr. Charles William    male      NaN   NaN\n",
       "1284                                  Webber, Mr. James    male      NaN   NaN\n",
       "1285                                Wenzel, Mr. Linhart    male  32.5000   298\n",
       "1286    Whabee, Mrs. George Joseph (Shawneene Abi-Saab)  female  38.0000   NaN\n",
       "1287                   Widegren, Mr. Carl/Charles Peter    male  51.0000   NaN\n",
       "1288                          Wiklund, Mr. Jakob Alfred    male  18.0000   314\n",
       "1289                            Wiklund, Mr. Karl Johan    male  21.0000   NaN\n",
       "1290                   Wilkes, Mrs. James (Ellen Needs)  female  47.0000   NaN\n",
       "1291                   Willer, Mr. Aaron (\"Abi Weller\")    male      NaN   NaN\n",
       "1292                                 Willey, Mr. Edward    male      NaN   NaN\n",
       "1293                  Williams, Mr. Howard Hugh \"Harry\"    male      NaN   NaN\n",
       "1294                               Williams, Mr. Leslie    male  28.5000    14\n",
       "1295                                Windelov, Mr. Einar    male  21.0000   NaN\n",
       "1296                                   Wirz, Mr. Albert    male  27.0000   131\n",
       "1297                             Wiseman, Mr. Phillippe    male      NaN   NaN\n",
       "1298                          Wittevrongel, Mr. Camille    male  36.0000   NaN\n",
       "1299                                Yasbeck, Mr. Antoni    male  27.0000   NaN\n",
       "1300            Yasbeck, Mrs. Antoni (Selini Alexander)  female  15.0000   NaN\n",
       "1301                               Youseff, Mr. Gerious    male  45.5000   312\n",
       "1302                                  Yousif, Mr. Wazli    male      NaN   NaN\n",
       "1303                              Yousseff, Mr. Gerious    male      NaN   NaN\n",
       "1304                               Zabour, Miss. Hileni  female  14.5000   328\n",
       "1305                              Zabour, Miss. Thamine  female      NaN   NaN\n",
       "1306                          Zakarian, Mr. Mapriededer    male  26.5000   304\n",
       "1307                                Zakarian, Mr. Ortin    male  27.0000   NaN\n",
       "1308                                 Zimmerman, Mr. Leo    male  29.0000   NaN\n",
       "1309                                                NaN     NaN      NaN   NaN\n",
       "\n",
       "[1310 rows x 4 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "passengers.join(found_bodies)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>body</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Allison, Master. Hudson Trevor</td>\n",
       "      <td>male</td>\n",
       "      <td>0.9167</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Allison, Miss. Helen Loraine</td>\n",
       "      <td>female</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Allison, Mr. Hudson Joshua Creighton</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>\n",
       "      <td>female</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Anderson, Mr. Harry</td>\n",
       "      <td>male</td>\n",
       "      <td>48.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Andrews, Miss. Kornelia Theodosia</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Andrews, Mr. Thomas Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>39.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Appleton, Mrs. Edward Dale (Charlotte Lamson)</td>\n",
       "      <td>female</td>\n",
       "      <td>53.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Artagaveytia, Mr. Ramon</td>\n",
       "      <td>male</td>\n",
       "      <td>71.0000</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Astor, Col. John Jacob</td>\n",
       "      <td>male</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Astor, Mrs. John Jacob (Madeleine Talmadge Force)</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Aubart, Mme. Leontine Pauline</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Barber, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Barkworth, Mr. Algernon Henry Wilson</td>\n",
       "      <td>male</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Baumann, Mr. John D</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Baxter, Mr. Quigg Edmond</td>\n",
       "      <td>male</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Baxter, Mrs. James (Helene DeLaudeniere Chaput)</td>\n",
       "      <td>female</td>\n",
       "      <td>50.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Bazzani, Miss. Albina</td>\n",
       "      <td>female</td>\n",
       "      <td>32.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Beattie, Mr. Thomson</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Beckwith, Mr. Richard Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Bidois, Miss. Rosalie</td>\n",
       "      <td>female</td>\n",
       "      <td>42.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Bird, Miss. Ellen</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Birnbaum, Mr. Jakob</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Bishop, Mr. Dickinson H</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Bishop, Mrs. Dickinson H (Helen Walton)</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Bissette, Miss. Amelia</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Bjornstrom-Steffansson, Mr. Mauritz Hakan</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>Vovk, Mr. Janko</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>Waelens, Mr. Achille</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1282</th>\n",
       "      <td>Ware, Mr. Frederick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1283</th>\n",
       "      <td>Warren, Mr. Charles William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1284</th>\n",
       "      <td>Webber, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1285</th>\n",
       "      <td>Wenzel, Mr. Linhart</td>\n",
       "      <td>male</td>\n",
       "      <td>32.5000</td>\n",
       "      <td>298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>Whabee, Mrs. George Joseph (Shawneene Abi-Saab)</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>Widegren, Mr. Carl/Charles Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>51.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>Wiklund, Mr. Jakob Alfred</td>\n",
       "      <td>male</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>Wiklund, Mr. Karl Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1291</th>\n",
       "      <td>Willer, Mr. Aaron (\"Abi Weller\")</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>Willey, Mr. Edward</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>Williams, Mr. Howard Hugh \"Harry\"</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>Williams, Mr. Leslie</td>\n",
       "      <td>male</td>\n",
       "      <td>28.5000</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>Windelov, Mr. Einar</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>Wirz, Mr. Albert</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>Wiseman, Mr. Phillippe</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1298</th>\n",
       "      <td>Wittevrongel, Mr. Camille</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>Yasbeck, Mr. Antoni</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>Yasbeck, Mrs. Antoni (Selini Alexander)</td>\n",
       "      <td>female</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>Youseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>45.5000</td>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1302</th>\n",
       "      <td>Yousif, Mr. Wazli</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1303</th>\n",
       "      <td>Yousseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304</th>\n",
       "      <td>Zabour, Miss. Hileni</td>\n",
       "      <td>female</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305</th>\n",
       "      <td>Zabour, Miss. Thamine</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>Zakarian, Mr. Mapriededer</td>\n",
       "      <td>male</td>\n",
       "      <td>26.5000</td>\n",
       "      <td>304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>Zakarian, Mr. Ortin</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>Zimmerman, Mr. Leo</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1310 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   name     sex      age  body\n",
       "ID                                                                            \n",
       "0                         Allen, Miss. Elisabeth Walton  female  29.0000   NaN\n",
       "1                        Allison, Master. Hudson Trevor    male   0.9167   NaN\n",
       "2                          Allison, Miss. Helen Loraine  female   2.0000   NaN\n",
       "3                  Allison, Mr. Hudson Joshua Creighton    male  30.0000   135\n",
       "4       Allison, Mrs. Hudson J C (Bessie Waldo Daniels)  female  25.0000   NaN\n",
       "5                                   Anderson, Mr. Harry    male  48.0000   NaN\n",
       "6                     Andrews, Miss. Kornelia Theodosia  female  63.0000   NaN\n",
       "7                                Andrews, Mr. Thomas Jr    male  39.0000   NaN\n",
       "8         Appleton, Mrs. Edward Dale (Charlotte Lamson)  female  53.0000   NaN\n",
       "9                               Artagaveytia, Mr. Ramon    male  71.0000    22\n",
       "10                               Astor, Col. John Jacob    male  47.0000   124\n",
       "11    Astor, Mrs. John Jacob (Madeleine Talmadge Force)  female  18.0000   NaN\n",
       "12                        Aubart, Mme. Leontine Pauline  female  24.0000   NaN\n",
       "13                         Barber, Miss. Ellen \"Nellie\"  female  26.0000   NaN\n",
       "14                 Barkworth, Mr. Algernon Henry Wilson    male  80.0000   NaN\n",
       "15                                  Baumann, Mr. John D    male      NaN   NaN\n",
       "16                             Baxter, Mr. Quigg Edmond    male  24.0000   NaN\n",
       "17      Baxter, Mrs. James (Helene DeLaudeniere Chaput)  female  50.0000   NaN\n",
       "18                                Bazzani, Miss. Albina  female  32.0000   NaN\n",
       "19                                 Beattie, Mr. Thomson    male  36.0000   NaN\n",
       "20                        Beckwith, Mr. Richard Leonard    male  37.0000   NaN\n",
       "21     Beckwith, Mrs. Richard Leonard (Sallie Monypeny)  female  47.0000   NaN\n",
       "22                                Behr, Mr. Karl Howell    male  26.0000   NaN\n",
       "23                                Bidois, Miss. Rosalie  female  42.0000   NaN\n",
       "24                                    Bird, Miss. Ellen  female  29.0000   NaN\n",
       "25                                  Birnbaum, Mr. Jakob    male  25.0000   148\n",
       "26                              Bishop, Mr. Dickinson H    male  25.0000   NaN\n",
       "27              Bishop, Mrs. Dickinson H (Helen Walton)  female  19.0000   NaN\n",
       "28                               Bissette, Miss. Amelia  female  35.0000   NaN\n",
       "29            Bjornstrom-Steffansson, Mr. Mauritz Hakan    male  28.0000   NaN\n",
       "...                                                 ...     ...      ...   ...\n",
       "1280                                    Vovk, Mr. Janko    male  22.0000   NaN\n",
       "1281                               Waelens, Mr. Achille    male  22.0000   NaN\n",
       "1282                                Ware, Mr. Frederick    male      NaN   NaN\n",
       "1283                        Warren, Mr. Charles William    male      NaN   NaN\n",
       "1284                                  Webber, Mr. James    male      NaN   NaN\n",
       "1285                                Wenzel, Mr. Linhart    male  32.5000   298\n",
       "1286    Whabee, Mrs. George Joseph (Shawneene Abi-Saab)  female  38.0000   NaN\n",
       "1287                   Widegren, Mr. Carl/Charles Peter    male  51.0000   NaN\n",
       "1288                          Wiklund, Mr. Jakob Alfred    male  18.0000   314\n",
       "1289                            Wiklund, Mr. Karl Johan    male  21.0000   NaN\n",
       "1290                   Wilkes, Mrs. James (Ellen Needs)  female  47.0000   NaN\n",
       "1291                   Willer, Mr. Aaron (\"Abi Weller\")    male      NaN   NaN\n",
       "1292                                 Willey, Mr. Edward    male      NaN   NaN\n",
       "1293                  Williams, Mr. Howard Hugh \"Harry\"    male      NaN   NaN\n",
       "1294                               Williams, Mr. Leslie    male  28.5000    14\n",
       "1295                                Windelov, Mr. Einar    male  21.0000   NaN\n",
       "1296                                   Wirz, Mr. Albert    male  27.0000   131\n",
       "1297                             Wiseman, Mr. Phillippe    male      NaN   NaN\n",
       "1298                          Wittevrongel, Mr. Camille    male  36.0000   NaN\n",
       "1299                                Yasbeck, Mr. Antoni    male  27.0000   NaN\n",
       "1300            Yasbeck, Mrs. Antoni (Selini Alexander)  female  15.0000   NaN\n",
       "1301                               Youseff, Mr. Gerious    male  45.5000   312\n",
       "1302                                  Yousif, Mr. Wazli    male      NaN   NaN\n",
       "1303                              Yousseff, Mr. Gerious    male      NaN   NaN\n",
       "1304                               Zabour, Miss. Hileni  female  14.5000   328\n",
       "1305                              Zabour, Miss. Thamine  female      NaN   NaN\n",
       "1306                          Zakarian, Mr. Mapriededer    male  26.5000   304\n",
       "1307                                Zakarian, Mr. Ortin    male  27.0000   NaN\n",
       "1308                                 Zimmerman, Mr. Leo    male  29.0000   NaN\n",
       "1309                                                NaN     NaN      NaN   NaN\n",
       "\n",
       "[1310 rows x 4 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.merge(passengers,found_bodies, how='left', left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>body</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Allison, Master. Hudson Trevor</td>\n",
       "      <td>male</td>\n",
       "      <td>0.9167</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Allison, Miss. Helen Loraine</td>\n",
       "      <td>female</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Allison, Mr. Hudson Joshua Creighton</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>\n",
       "      <td>female</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Anderson, Mr. Harry</td>\n",
       "      <td>male</td>\n",
       "      <td>48.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Andrews, Miss. Kornelia Theodosia</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Andrews, Mr. Thomas Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>39.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Appleton, Mrs. Edward Dale (Charlotte Lamson)</td>\n",
       "      <td>female</td>\n",
       "      <td>53.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Artagaveytia, Mr. Ramon</td>\n",
       "      <td>male</td>\n",
       "      <td>71.0000</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Astor, Col. John Jacob</td>\n",
       "      <td>male</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Astor, Mrs. John Jacob (Madeleine Talmadge Force)</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Aubart, Mme. Leontine Pauline</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Barber, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Barkworth, Mr. Algernon Henry Wilson</td>\n",
       "      <td>male</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Baumann, Mr. John D</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Baxter, Mr. Quigg Edmond</td>\n",
       "      <td>male</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Baxter, Mrs. James (Helene DeLaudeniere Chaput)</td>\n",
       "      <td>female</td>\n",
       "      <td>50.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Bazzani, Miss. Albina</td>\n",
       "      <td>female</td>\n",
       "      <td>32.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Beattie, Mr. Thomson</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Beckwith, Mr. Richard Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Bidois, Miss. Rosalie</td>\n",
       "      <td>female</td>\n",
       "      <td>42.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Bird, Miss. Ellen</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Birnbaum, Mr. Jakob</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Bishop, Mr. Dickinson H</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Bishop, Mrs. Dickinson H (Helen Walton)</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Bissette, Miss. Amelia</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Bjornstrom-Steffansson, Mr. Mauritz Hakan</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>Vovk, Mr. Janko</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>Waelens, Mr. Achille</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1282</th>\n",
       "      <td>Ware, Mr. Frederick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1283</th>\n",
       "      <td>Warren, Mr. Charles William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1284</th>\n",
       "      <td>Webber, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1285</th>\n",
       "      <td>Wenzel, Mr. Linhart</td>\n",
       "      <td>male</td>\n",
       "      <td>32.5000</td>\n",
       "      <td>298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>Whabee, Mrs. George Joseph (Shawneene Abi-Saab)</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>Widegren, Mr. Carl/Charles Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>51.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>Wiklund, Mr. Jakob Alfred</td>\n",
       "      <td>male</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>Wiklund, Mr. Karl Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1291</th>\n",
       "      <td>Willer, Mr. Aaron (\"Abi Weller\")</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>Willey, Mr. Edward</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>Williams, Mr. Howard Hugh \"Harry\"</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>Williams, Mr. Leslie</td>\n",
       "      <td>male</td>\n",
       "      <td>28.5000</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>Windelov, Mr. Einar</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>Wirz, Mr. Albert</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>Wiseman, Mr. Phillippe</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1298</th>\n",
       "      <td>Wittevrongel, Mr. Camille</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>Yasbeck, Mr. Antoni</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>Yasbeck, Mrs. Antoni (Selini Alexander)</td>\n",
       "      <td>female</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>Youseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>45.5000</td>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1302</th>\n",
       "      <td>Yousif, Mr. Wazli</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1303</th>\n",
       "      <td>Yousseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304</th>\n",
       "      <td>Zabour, Miss. Hileni</td>\n",
       "      <td>female</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305</th>\n",
       "      <td>Zabour, Miss. Thamine</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>Zakarian, Mr. Mapriededer</td>\n",
       "      <td>male</td>\n",
       "      <td>26.5000</td>\n",
       "      <td>304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>Zakarian, Mr. Ortin</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>Zimmerman, Mr. Leo</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1310 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   name     sex      age  body\n",
       "ID                                                                            \n",
       "0                         Allen, Miss. Elisabeth Walton  female  29.0000   NaN\n",
       "1                        Allison, Master. Hudson Trevor    male   0.9167   NaN\n",
       "2                          Allison, Miss. Helen Loraine  female   2.0000   NaN\n",
       "3                  Allison, Mr. Hudson Joshua Creighton    male  30.0000   135\n",
       "4       Allison, Mrs. Hudson J C (Bessie Waldo Daniels)  female  25.0000   NaN\n",
       "5                                   Anderson, Mr. Harry    male  48.0000   NaN\n",
       "6                     Andrews, Miss. Kornelia Theodosia  female  63.0000   NaN\n",
       "7                                Andrews, Mr. Thomas Jr    male  39.0000   NaN\n",
       "8         Appleton, Mrs. Edward Dale (Charlotte Lamson)  female  53.0000   NaN\n",
       "9                               Artagaveytia, Mr. Ramon    male  71.0000    22\n",
       "10                               Astor, Col. John Jacob    male  47.0000   124\n",
       "11    Astor, Mrs. John Jacob (Madeleine Talmadge Force)  female  18.0000   NaN\n",
       "12                        Aubart, Mme. Leontine Pauline  female  24.0000   NaN\n",
       "13                         Barber, Miss. Ellen \"Nellie\"  female  26.0000   NaN\n",
       "14                 Barkworth, Mr. Algernon Henry Wilson    male  80.0000   NaN\n",
       "15                                  Baumann, Mr. John D    male      NaN   NaN\n",
       "16                             Baxter, Mr. Quigg Edmond    male  24.0000   NaN\n",
       "17      Baxter, Mrs. James (Helene DeLaudeniere Chaput)  female  50.0000   NaN\n",
       "18                                Bazzani, Miss. Albina  female  32.0000   NaN\n",
       "19                                 Beattie, Mr. Thomson    male  36.0000   NaN\n",
       "20                        Beckwith, Mr. Richard Leonard    male  37.0000   NaN\n",
       "21     Beckwith, Mrs. Richard Leonard (Sallie Monypeny)  female  47.0000   NaN\n",
       "22                                Behr, Mr. Karl Howell    male  26.0000   NaN\n",
       "23                                Bidois, Miss. Rosalie  female  42.0000   NaN\n",
       "24                                    Bird, Miss. Ellen  female  29.0000   NaN\n",
       "25                                  Birnbaum, Mr. Jakob    male  25.0000   148\n",
       "26                              Bishop, Mr. Dickinson H    male  25.0000   NaN\n",
       "27              Bishop, Mrs. Dickinson H (Helen Walton)  female  19.0000   NaN\n",
       "28                               Bissette, Miss. Amelia  female  35.0000   NaN\n",
       "29            Bjornstrom-Steffansson, Mr. Mauritz Hakan    male  28.0000   NaN\n",
       "...                                                 ...     ...      ...   ...\n",
       "1280                                    Vovk, Mr. Janko    male  22.0000   NaN\n",
       "1281                               Waelens, Mr. Achille    male  22.0000   NaN\n",
       "1282                                Ware, Mr. Frederick    male      NaN   NaN\n",
       "1283                        Warren, Mr. Charles William    male      NaN   NaN\n",
       "1284                                  Webber, Mr. James    male      NaN   NaN\n",
       "1285                                Wenzel, Mr. Linhart    male  32.5000   298\n",
       "1286    Whabee, Mrs. George Joseph (Shawneene Abi-Saab)  female  38.0000   NaN\n",
       "1287                   Widegren, Mr. Carl/Charles Peter    male  51.0000   NaN\n",
       "1288                          Wiklund, Mr. Jakob Alfred    male  18.0000   314\n",
       "1289                            Wiklund, Mr. Karl Johan    male  21.0000   NaN\n",
       "1290                   Wilkes, Mrs. James (Ellen Needs)  female  47.0000   NaN\n",
       "1291                   Willer, Mr. Aaron (\"Abi Weller\")    male      NaN   NaN\n",
       "1292                                 Willey, Mr. Edward    male      NaN   NaN\n",
       "1293                  Williams, Mr. Howard Hugh \"Harry\"    male      NaN   NaN\n",
       "1294                               Williams, Mr. Leslie    male  28.5000    14\n",
       "1295                                Windelov, Mr. Einar    male  21.0000   NaN\n",
       "1296                                   Wirz, Mr. Albert    male  27.0000   131\n",
       "1297                             Wiseman, Mr. Phillippe    male      NaN   NaN\n",
       "1298                          Wittevrongel, Mr. Camille    male  36.0000   NaN\n",
       "1299                                Yasbeck, Mr. Antoni    male  27.0000   NaN\n",
       "1300            Yasbeck, Mrs. Antoni (Selini Alexander)  female  15.0000   NaN\n",
       "1301                               Youseff, Mr. Gerious    male  45.5000   312\n",
       "1302                                  Yousif, Mr. Wazli    male      NaN   NaN\n",
       "1303                              Yousseff, Mr. Gerious    male      NaN   NaN\n",
       "1304                               Zabour, Miss. Hileni  female  14.5000   328\n",
       "1305                              Zabour, Miss. Thamine  female      NaN   NaN\n",
       "1306                          Zakarian, Mr. Mapriededer    male  26.5000   304\n",
       "1307                                Zakarian, Mr. Ortin    male  27.0000   NaN\n",
       "1308                                 Zimmerman, Mr. Leo    male  29.0000   NaN\n",
       "1309                                                NaN     NaN      NaN   NaN\n",
       "\n",
       "[1310 rows x 4 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.merge(passengers, found_bodies, how='right',left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set operations\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets find the Union of two parts of the dataframe. Say we split the original df into those younger than 20 and those older."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_young = df_titanic.loc[df_titanic.age <=20]\n",
    "df_old = df_titanic.loc[df_titanic.age >=20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pclass</th>\n",
       "      <th>survived</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "      <th>fare_range</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allison, Master. Hudson Trevor</td>\n",
       "      <td>male</td>\n",
       "      <td>0.9167</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Miss. Helen Loraine</td>\n",
       "      <td>female</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Astor, Mrs. John Jacob (Madeleine Talmadge Force)</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mrs. Dickinson H (Helen Walton)</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Carrau, Mr. Jose Pedro</td>\n",
       "      <td>male</td>\n",
       "      <td>17.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113059</td>\n",
       "      <td>47.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montevideo, Uruguay</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Carter, Master. William Thornton II</td>\n",
       "      <td>male</td>\n",
       "      <td>11.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113760</td>\n",
       "      <td>120.0000</td>\n",
       "      <td>B96 B98</td>\n",
       "      <td>S</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bryn Mawr, PA</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Carter, Miss. Lucile Polk</td>\n",
       "      <td>female</td>\n",
       "      <td>14.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113760</td>\n",
       "      <td>120.0000</td>\n",
       "      <td>B96 B98</td>\n",
       "      <td>S</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bryn Mawr, PA</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dick, Mrs. Albert Adrian (Vera Gillespie)</td>\n",
       "      <td>female</td>\n",
       "      <td>17.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>17474</td>\n",
       "      <td>57.0000</td>\n",
       "      <td>B20</td>\n",
       "      <td>S</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Calgary, AB</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Dodge, Master. Washington</td>\n",
       "      <td>male</td>\n",
       "      <td>4.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>33638</td>\n",
       "      <td>81.8583</td>\n",
       "      <td>A34</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Fortune, Mr. Charles Alexander</td>\n",
       "      <td>male</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
       "      <td>C23 C25 C27</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Winnipeg, MB</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Graham, Miss. Margaret Edith</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</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",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Greenwich, CT</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Hippach, Miss. Jean Gertrude</td>\n",
       "      <td>female</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>111361</td>\n",
       "      <td>57.9792</td>\n",
       "      <td>B18</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Chicago, IL</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Lines, Miss. Mary Conover</td>\n",
       "      <td>female</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17592</td>\n",
       "      <td>39.4000</td>\n",
       "      <td>D28</td>\n",
       "      <td>S</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paris, France</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Madill, Miss. Georgette Alexandra</td>\n",
       "      <td>female</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>24160</td>\n",
       "      <td>211.3375</td>\n",
       "      <td>B5</td>\n",
       "      <td>S</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Louis, MO</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Maioni, Miss. Roberta</td>\n",
       "      <td>female</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110152</td>\n",
       "      <td>86.5000</td>\n",
       "      <td>B79</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Marvin, Mr. Daniel Warner</td>\n",
       "      <td>male</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113773</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>D30</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Marvin, Mrs. Daniel Warner (Mary Graham Carmic...</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113773</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>D30</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Newsom, Miss. Helen Monypeny</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>11752</td>\n",
       "      <td>26.2833</td>\n",
       "      <td>D47</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Penasco y Castellana, Mr. Victor de Satode</td>\n",
       "      <td>male</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17758</td>\n",
       "      <td>108.9000</td>\n",
       "      <td>C65</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Madrid, Spain</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Penasco y Castellana, Mrs. Victor de Satode (M...</td>\n",
       "      <td>female</td>\n",
       "      <td>17.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17758</td>\n",
       "      <td>108.9000</td>\n",
       "      <td>C65</td>\n",
       "      <td>C</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Madrid, Spain</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ryerson, Master. John Borie</td>\n",
       "      <td>male</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>PC 17608</td>\n",
       "      <td>262.3750</td>\n",
       "      <td>B57 B59 B63 B66</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Haverford, PA / Cooperstown, NY</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ryerson, Miss. Emily Borie</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>PC 17608</td>\n",
       "      <td>262.3750</td>\n",
       "      <td>B57 B59 B63 B66</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Haverford, PA / Cooperstown, NY</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Smith, Mrs. Lucien Philip (Mary Eloise Hughes)</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13695</td>\n",
       "      <td>60.0000</td>\n",
       "      <td>C31</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Huntington, WV</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Spedden, Master. Robert Douglas</td>\n",
       "      <td>male</td>\n",
       "      <td>6.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>16966</td>\n",
       "      <td>134.5000</td>\n",
       "      <td>E34</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tuxedo Park, NY</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Taussig, Miss. Ruth</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>110413</td>\n",
       "      <td>79.6500</td>\n",
       "      <td>E68</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Thayer, Mr. John Borland Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>17.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>17421</td>\n",
       "      <td>110.8833</td>\n",
       "      <td>C70</td>\n",
       "      <td>C</td>\n",
       "      <td>B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Haverford, PA</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Andrew, Mr. Edgardo Samuel</td>\n",
       "      <td>male</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>231945</td>\n",
       "      <td>11.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Buenos Aires, Argentina / New Jersey, NJ</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Bailey, Mr. Percy Andrew</td>\n",
       "      <td>male</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29108</td>\n",
       "      <td>11.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Penzance, Cornwall / Akron, OH</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Beane, Mrs. Edward (Ethel Clarke)</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2908</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Norwich / New York, NY</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Becker, Master. Richard F</td>\n",
       "      <td>male</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>230136</td>\n",
       "      <td>39.0000</td>\n",
       "      <td>F4</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Guntur, India / Benton Harbour, MI</td>\n",
       "      <td>(20, 50]</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1258</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Touma, Mrs. Darwis (Hanne Youssef Razi)</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2650</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1259</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Turcin, Mr. Stjepan</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349247</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1261</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Turkula, Mrs. (Hedwig)</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4134</td>\n",
       "      <td>9.5875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1264</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>van Billiard, Mr. Austin Blyler</td>\n",
       "      <td>male</td>\n",
       "      <td>40.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>A/5. 851</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>255</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1266</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Van Impe, Mr. Jean Baptiste</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>345773</td>\n",
       "      <td>24.1500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1267</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Van Impe, Mrs. Jean Baptiste (Rosalie Paula Go...</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>345773</td>\n",
       "      <td>24.1500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1269</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vande Velde, Mr. Johannes Joseph</td>\n",
       "      <td>male</td>\n",
       "      <td>33.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345780</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vande Walle, Mr. Nestor Cyriel</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345770</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1271</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vanden Steen, Mr. Leo Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345783</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1272</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Cruyssen, Mr. Victor</td>\n",
       "      <td>male</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345765</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1274</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Planke, Mr. Julius</td>\n",
       "      <td>male</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>345763</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1276</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Planke, Mrs. Julius (Emelia Maria Vande...</td>\n",
       "      <td>female</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>345763</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1277</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Vartanian, Mr. David</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2658</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>13 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1278</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vendel, Mr. Olof Edvin</td>\n",
       "      <td>male</td>\n",
       "      <td>20.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350416</td>\n",
       "      <td>7.8542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vovk, Mr. Janko</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349252</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Waelens, Mr. Achille</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345767</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antwerp, Belgium / Stanton, OH</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1285</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wenzel, Mr. Linhart</td>\n",
       "      <td>male</td>\n",
       "      <td>32.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345775</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>298</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Whabee, Mrs. George Joseph (Shawneene Abi-Saab)</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2688</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Widegren, Mr. Carl/Charles Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>51.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>347064</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Karl Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101266</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>363272</td>\n",
       "      <td>7.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Williams, Mr. Leslie</td>\n",
       "      <td>male</td>\n",
       "      <td>28.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>54636</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Windelov, Mr. Einar</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101317</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wirz, Mr. Albert</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315154</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1298</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wittevrongel, Mr. Camille</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345771</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yasbeck, Mr. Antoni</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Youseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>45.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2628</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>312</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Mapriededer</td>\n",
       "      <td>male</td>\n",
       "      <td>26.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2656</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>304</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Ortin</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2670</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zimmerman, Mr. Leo</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315082</td>\n",
       "      <td>7.8750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1069 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass  survived                                               name  \\\n",
       "ID                                                                          \n",
       "1          1         1                     Allison, Master. Hudson Trevor   \n",
       "2          1         0                       Allison, Miss. Helen Loraine   \n",
       "11         1         1  Astor, Mrs. John Jacob (Madeleine Talmadge Force)   \n",
       "27         1         1            Bishop, Mrs. Dickinson H (Helen Walton)   \n",
       "53         1         0                             Carrau, Mr. Jose Pedro   \n",
       "54         1         1                Carter, Master. William Thornton II   \n",
       "55         1         1                          Carter, Miss. Lucile Polk   \n",
       "92         1         1          Dick, Mrs. Albert Adrian (Vera Gillespie)   \n",
       "94         1         1                          Dodge, Master. Washington   \n",
       "114        1         0                     Fortune, Mr. Charles Alexander   \n",
       "137        1         1                       Graham, Miss. Margaret Edith   \n",
       "159        1         1                       Hippach, Miss. Jean Gertrude   \n",
       "187        1         1                          Lines, Miss. Mary Conover   \n",
       "193        1         1                  Madill, Miss. Georgette Alexandra   \n",
       "195        1         1                              Maioni, Miss. Roberta   \n",
       "197        1         0                          Marvin, Mr. Daniel Warner   \n",
       "198        1         1  Marvin, Mrs. Daniel Warner (Mary Graham Carmic...   \n",
       "216        1         1                       Newsom, Miss. Helen Monypeny   \n",
       "228        1         0         Penasco y Castellana, Mr. Victor de Satode   \n",
       "229        1         1  Penasco y Castellana, Mrs. Victor de Satode (M...   \n",
       "249        1         1                        Ryerson, Master. John Borie   \n",
       "250        1         1                         Ryerson, Miss. Emily Borie   \n",
       "270        1         1     Smith, Mrs. Lucien Philip (Mary Eloise Hughes)   \n",
       "273        1         1                    Spedden, Master. Robert Douglas   \n",
       "289        1         1                                Taussig, Miss. Ruth   \n",
       "295        1         1                        Thayer, Mr. John Borland Jr   \n",
       "326        2         0                         Andrew, Mr. Edgardo Samuel   \n",
       "331        2         0                           Bailey, Mr. Percy Andrew   \n",
       "337        2         1                  Beane, Mrs. Edward (Ethel Clarke)   \n",
       "339        2         1                          Becker, Master. Richard F   \n",
       "...      ...       ...                                                ...   \n",
       "1258       3         1            Touma, Mrs. Darwis (Hanne Youssef Razi)   \n",
       "1259       3         0                                Turcin, Mr. Stjepan   \n",
       "1261       3         1                             Turkula, Mrs. (Hedwig)   \n",
       "1264       3         0                    van Billiard, Mr. Austin Blyler   \n",
       "1266       3         0                        Van Impe, Mr. Jean Baptiste   \n",
       "1267       3         0  Van Impe, Mrs. Jean Baptiste (Rosalie Paula Go...   \n",
       "1269       3         0                   Vande Velde, Mr. Johannes Joseph   \n",
       "1270       3         0                     Vande Walle, Mr. Nestor Cyriel   \n",
       "1271       3         0                        Vanden Steen, Mr. Leo Peter   \n",
       "1272       3         0                        Vander Cruyssen, Mr. Victor   \n",
       "1274       3         0                          Vander Planke, Mr. Julius   \n",
       "1276       3         0  Vander Planke, Mrs. Julius (Emelia Maria Vande...   \n",
       "1277       3         1                               Vartanian, Mr. David   \n",
       "1278       3         0                             Vendel, Mr. Olof Edvin   \n",
       "1280       3         0                                    Vovk, Mr. Janko   \n",
       "1281       3         0                               Waelens, Mr. Achille   \n",
       "1285       3         0                                Wenzel, Mr. Linhart   \n",
       "1286       3         1    Whabee, Mrs. George Joseph (Shawneene Abi-Saab)   \n",
       "1287       3         0                   Widegren, Mr. Carl/Charles Peter   \n",
       "1289       3         0                            Wiklund, Mr. Karl Johan   \n",
       "1290       3         1                   Wilkes, Mrs. James (Ellen Needs)   \n",
       "1294       3         0                               Williams, Mr. Leslie   \n",
       "1295       3         0                                Windelov, Mr. Einar   \n",
       "1296       3         0                                   Wirz, Mr. Albert   \n",
       "1298       3         0                          Wittevrongel, Mr. Camille   \n",
       "1299       3         0                                Yasbeck, Mr. Antoni   \n",
       "1301       3         0                               Youseff, Mr. Gerious   \n",
       "1306       3         0                          Zakarian, Mr. Mapriededer   \n",
       "1307       3         0                                Zakarian, Mr. Ortin   \n",
       "1308       3         0                                 Zimmerman, Mr. Leo   \n",
       "\n",
       "         sex      age  sibsp  parch            ticket      fare  \\\n",
       "ID                                                                \n",
       "1       male   0.9167      1      2            113781  151.5500   \n",
       "2     female   2.0000      1      2            113781  151.5500   \n",
       "11    female  18.0000      1      0          PC 17757  227.5250   \n",
       "27    female  19.0000      1      0             11967   91.0792   \n",
       "53      male  17.0000      0      0            113059   47.1000   \n",
       "54      male  11.0000      1      2            113760  120.0000   \n",
       "55    female  14.0000      1      2            113760  120.0000   \n",
       "92    female  17.0000      1      0             17474   57.0000   \n",
       "94      male   4.0000      0      2             33638   81.8583   \n",
       "114     male  19.0000      3      2             19950  263.0000   \n",
       "137   female  19.0000      0      0            112053   30.0000   \n",
       "159   female  16.0000      0      1            111361   57.9792   \n",
       "187   female  16.0000      0      1          PC 17592   39.4000   \n",
       "193   female  15.0000      0      1             24160  211.3375   \n",
       "195   female  16.0000      0      0            110152   86.5000   \n",
       "197     male  19.0000      1      0            113773   53.1000   \n",
       "198   female  18.0000      1      0            113773   53.1000   \n",
       "216   female  19.0000      0      2             11752   26.2833   \n",
       "228     male  18.0000      1      0          PC 17758  108.9000   \n",
       "229   female  17.0000      1      0          PC 17758  108.9000   \n",
       "249     male  13.0000      2      2          PC 17608  262.3750   \n",
       "250   female  18.0000      2      2          PC 17608  262.3750   \n",
       "270   female  18.0000      1      0             13695   60.0000   \n",
       "273     male   6.0000      0      2             16966  134.5000   \n",
       "289   female  18.0000      0      2            110413   79.6500   \n",
       "295     male  17.0000      0      2             17421  110.8833   \n",
       "326     male  18.0000      0      0            231945   11.5000   \n",
       "331     male  18.0000      0      0             29108   11.5000   \n",
       "337   female  19.0000      1      0              2908   26.0000   \n",
       "339     male   1.0000      2      1            230136   39.0000   \n",
       "...      ...      ...    ...    ...               ...       ...   \n",
       "1258  female  29.0000      0      2              2650   15.2458   \n",
       "1259    male  36.0000      0      0            349247    7.8958   \n",
       "1261  female  63.0000      0      0              4134    9.5875   \n",
       "1264    male  40.5000      0      2          A/5. 851   14.5000   \n",
       "1266    male  36.0000      1      1            345773   24.1500   \n",
       "1267  female  30.0000      1      1            345773   24.1500   \n",
       "1269    male  33.0000      0      0            345780    9.5000   \n",
       "1270    male  28.0000      0      0            345770    9.5000   \n",
       "1271    male  28.0000      0      0            345783    9.5000   \n",
       "1272    male  47.0000      0      0            345765    9.0000   \n",
       "1274    male  31.0000      3      0            345763   18.0000   \n",
       "1276  female  31.0000      1      0            345763   18.0000   \n",
       "1277    male  22.0000      0      0              2658    7.2250   \n",
       "1278    male  20.0000      0      0            350416    7.8542   \n",
       "1280    male  22.0000      0      0            349252    7.8958   \n",
       "1281    male  22.0000      0      0            345767    9.0000   \n",
       "1285    male  32.5000      0      0            345775    9.5000   \n",
       "1286  female  38.0000      0      0              2688    7.2292   \n",
       "1287    male  51.0000      0      0            347064    7.7500   \n",
       "1289    male  21.0000      1      0           3101266    6.4958   \n",
       "1290  female  47.0000      1      0            363272    7.0000   \n",
       "1294    male  28.5000      0      0             54636   16.1000   \n",
       "1295    male  21.0000      0      0  SOTON/OQ 3101317    7.2500   \n",
       "1296    male  27.0000      0      0            315154    8.6625   \n",
       "1298    male  36.0000      0      0            345771    9.5000   \n",
       "1299    male  27.0000      1      0              2659   14.4542   \n",
       "1301    male  45.5000      0      0              2628    7.2250   \n",
       "1306    male  26.5000      0      0              2656    7.2250   \n",
       "1307    male  27.0000      0      0              2670    7.2250   \n",
       "1308    male  29.0000      0      0            315082    7.8750   \n",
       "\n",
       "                cabin embarked   boat  body  \\\n",
       "ID                                            \n",
       "1             C22 C26        S     11   NaN   \n",
       "2             C22 C26        S    NaN   NaN   \n",
       "11            C62 C64        C      4   NaN   \n",
       "27                B49        C      7   NaN   \n",
       "53                NaN        S    NaN   NaN   \n",
       "54            B96 B98        S      4   NaN   \n",
       "55            B96 B98        S      4   NaN   \n",
       "92                B20        S      3   NaN   \n",
       "94                A34        S      5   NaN   \n",
       "114       C23 C25 C27        S    NaN   NaN   \n",
       "137               B42        S      3   NaN   \n",
       "159               B18        C      4   NaN   \n",
       "187               D28        S      9   NaN   \n",
       "193                B5        S      2   NaN   \n",
       "195               B79        S      8   NaN   \n",
       "197               D30        S    NaN   NaN   \n",
       "198               D30        S     10   NaN   \n",
       "216               D47        S      5   NaN   \n",
       "228               C65        C    NaN   NaN   \n",
       "229               C65        C      8   NaN   \n",
       "249   B57 B59 B63 B66        C      4   NaN   \n",
       "250   B57 B59 B63 B66        C      4   NaN   \n",
       "270               C31        S      6   NaN   \n",
       "273               E34        C      3   NaN   \n",
       "289               E68        S      8   NaN   \n",
       "295               C70        C      B   NaN   \n",
       "326               NaN        S    NaN   NaN   \n",
       "331               NaN        S    NaN   NaN   \n",
       "337               NaN        S     13   NaN   \n",
       "339                F4        S     11   NaN   \n",
       "...               ...      ...    ...   ...   \n",
       "1258              NaN        C      C   NaN   \n",
       "1259              NaN        S    NaN   NaN   \n",
       "1261              NaN        S     15   NaN   \n",
       "1264              NaN        S    NaN   255   \n",
       "1266              NaN        S    NaN   NaN   \n",
       "1267              NaN        S    NaN   NaN   \n",
       "1269              NaN        S    NaN   NaN   \n",
       "1270              NaN        S    NaN   NaN   \n",
       "1271              NaN        S    NaN   NaN   \n",
       "1272              NaN        S    NaN   NaN   \n",
       "1274              NaN        S    NaN   NaN   \n",
       "1276              NaN        S    NaN   NaN   \n",
       "1277              NaN        C  13 15   NaN   \n",
       "1278              NaN        S    NaN   NaN   \n",
       "1280              NaN        S    NaN   NaN   \n",
       "1281              NaN        S    NaN   NaN   \n",
       "1285              NaN        S    NaN   298   \n",
       "1286              NaN        C      C   NaN   \n",
       "1287              NaN        S    NaN   NaN   \n",
       "1289              NaN        S    NaN   NaN   \n",
       "1290              NaN        S    NaN   NaN   \n",
       "1294              NaN        S    NaN    14   \n",
       "1295              NaN        S    NaN   NaN   \n",
       "1296              NaN        S    NaN   131   \n",
       "1298              NaN        S    NaN   NaN   \n",
       "1299              NaN        C      C   NaN   \n",
       "1301              NaN        C    NaN   312   \n",
       "1306              NaN        C    NaN   304   \n",
       "1307              NaN        C    NaN   NaN   \n",
       "1308              NaN        S    NaN   NaN   \n",
       "\n",
       "                                     home.dest  fare_range  \n",
       "ID                                                          \n",
       "1              Montreal, PQ / Chesterville, ON  (100, 513]  \n",
       "2              Montreal, PQ / Chesterville, ON  (100, 513]  \n",
       "11                                New York, NY  (100, 513]  \n",
       "27                                Dowagiac, MI   (50, 100]  \n",
       "53                         Montevideo, Uruguay    (20, 50]  \n",
       "54                               Bryn Mawr, PA  (100, 513]  \n",
       "55                               Bryn Mawr, PA  (100, 513]  \n",
       "92                                 Calgary, AB   (50, 100]  \n",
       "94                           San Francisco, CA   (50, 100]  \n",
       "114                               Winnipeg, MB  (100, 513]  \n",
       "137                              Greenwich, CT    (20, 50]  \n",
       "159                                Chicago, IL   (50, 100]  \n",
       "187                              Paris, France    (20, 50]  \n",
       "193                               St Louis, MO  (100, 513]  \n",
       "195                                        NaN   (50, 100]  \n",
       "197                               New York, NY   (50, 100]  \n",
       "198                               New York, NY   (50, 100]  \n",
       "216                               New York, NY    (20, 50]  \n",
       "228                              Madrid, Spain  (100, 513]  \n",
       "229                              Madrid, Spain  (100, 513]  \n",
       "249            Haverford, PA / Cooperstown, NY  (100, 513]  \n",
       "250            Haverford, PA / Cooperstown, NY  (100, 513]  \n",
       "270                             Huntington, WV   (50, 100]  \n",
       "273                            Tuxedo Park, NY  (100, 513]  \n",
       "289                               New York, NY   (50, 100]  \n",
       "295                              Haverford, PA  (100, 513]  \n",
       "326   Buenos Aires, Argentina / New Jersey, NJ    (10, 20]  \n",
       "331             Penzance, Cornwall / Akron, OH    (10, 20]  \n",
       "337                     Norwich / New York, NY    (20, 50]  \n",
       "339         Guntur, India / Benton Harbour, MI    (20, 50]  \n",
       "...                                        ...         ...  \n",
       "1258                                       NaN    (10, 20]  \n",
       "1259                                       NaN     (0, 10]  \n",
       "1261                                       NaN     (0, 10]  \n",
       "1264                                       NaN    (10, 20]  \n",
       "1266                                       NaN    (20, 50]  \n",
       "1267                                       NaN    (20, 50]  \n",
       "1269                                       NaN     (0, 10]  \n",
       "1270                                       NaN     (0, 10]  \n",
       "1271                                       NaN     (0, 10]  \n",
       "1272                                       NaN     (0, 10]  \n",
       "1274                                       NaN    (10, 20]  \n",
       "1276                                       NaN    (10, 20]  \n",
       "1277                                       NaN     (0, 10]  \n",
       "1278                                       NaN     (0, 10]  \n",
       "1280                                       NaN     (0, 10]  \n",
       "1281            Antwerp, Belgium / Stanton, OH     (0, 10]  \n",
       "1285                                       NaN     (0, 10]  \n",
       "1286                                       NaN     (0, 10]  \n",
       "1287                                       NaN     (0, 10]  \n",
       "1289                                       NaN     (0, 10]  \n",
       "1290                                       NaN     (0, 10]  \n",
       "1294                                       NaN    (10, 20]  \n",
       "1295                                       NaN     (0, 10]  \n",
       "1296                                       NaN     (0, 10]  \n",
       "1298                                       NaN     (0, 10]  \n",
       "1299                                       NaN    (10, 20]  \n",
       "1301                                       NaN     (0, 10]  \n",
       "1306                                       NaN     (0, 10]  \n",
       "1307                                       NaN     (0, 10]  \n",
       "1308                                       NaN     (0, 10]  \n",
       "\n",
       "[1069 rows x 15 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Union\n",
    "df_all = pd.concat([df_young, df_old])\n",
    "df_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pclass</th>\n",
       "      <th>survived</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "      <th>fare_range</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24160</td>\n",
       "      <td>211.3375</td>\n",
       "      <td>B5</td>\n",
       "      <td>S</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Louis, MO</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allison, Master. Hudson Trevor</td>\n",
       "      <td>male</td>\n",
       "      <td>0.9167</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Miss. Helen Loraine</td>\n",
       "      <td>female</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mr. Hudson Joshua Creighton</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>\n",
       "      <td>female</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Anderson, Mr. Harry</td>\n",
       "      <td>male</td>\n",
       "      <td>48.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19952</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>E12</td>\n",
       "      <td>S</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Andrews, Miss. Kornelia Theodosia</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13502</td>\n",
       "      <td>77.9583</td>\n",
       "      <td>D7</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hudson, NY</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Andrews, Mr. Thomas Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>39.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112050</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>A36</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Belfast, NI</td>\n",
       "      <td>(-1, 0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Appleton, Mrs. Edward Dale (Charlotte Lamson)</td>\n",
       "      <td>female</td>\n",
       "      <td>53.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>11769</td>\n",
       "      <td>51.4792</td>\n",
       "      <td>C101</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bayside, Queens, NY</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Artagaveytia, Mr. Ramon</td>\n",
       "      <td>male</td>\n",
       "      <td>71.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17609</td>\n",
       "      <td>49.5042</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22</td>\n",
       "      <td>Montevideo, Uruguay</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Astor, Col. John Jacob</td>\n",
       "      <td>male</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Astor, Mrs. John Jacob (Madeleine Talmadge Force)</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Aubart, Mme. Leontine Pauline</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17477</td>\n",
       "      <td>69.3000</td>\n",
       "      <td>B35</td>\n",
       "      <td>C</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paris, France</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barber, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19877</td>\n",
       "      <td>78.8500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barkworth, Mr. Algernon Henry Wilson</td>\n",
       "      <td>male</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27042</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>A23</td>\n",
       "      <td>S</td>\n",
       "      <td>B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hessle, Yorks</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Baxter, Mr. Quigg Edmond</td>\n",
       "      <td>male</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Baxter, Mrs. James (Helene DeLaudeniere Chaput)</td>\n",
       "      <td>female</td>\n",
       "      <td>50.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bazzani, Miss. Albina</td>\n",
       "      <td>female</td>\n",
       "      <td>32.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11813</td>\n",
       "      <td>76.2917</td>\n",
       "      <td>D15</td>\n",
       "      <td>C</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Beattie, Mr. Thomson</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13050</td>\n",
       "      <td>75.2417</td>\n",
       "      <td>C6</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Winnipeg, MN</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mr. Richard Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0000</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",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bidois, Miss. Rosalie</td>\n",
       "      <td>female</td>\n",
       "      <td>42.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bird, Miss. Ellen</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17483</td>\n",
       "      <td>221.7792</td>\n",
       "      <td>C97</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Birnbaum, Mr. Jakob</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13905</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mr. Dickinson H</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mrs. Dickinson H (Helen Walton)</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bissette, Miss. Amelia</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17760</td>\n",
       "      <td>135.6333</td>\n",
       "      <td>C99</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bjornstrom-Steffansson, Mr. Mauritz Hakan</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110564</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C52</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm, Sweden / Washington, DC</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Blackwell, Mr. Stephen Weart</td>\n",
       "      <td>male</td>\n",
       "      <td>45.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113784</td>\n",
       "      <td>35.5000</td>\n",
       "      <td>T</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Trenton, NJ</td>\n",
       "      <td>(20, 50]</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1269</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vande Velde, Mr. Johannes Joseph</td>\n",
       "      <td>male</td>\n",
       "      <td>33.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345780</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vande Walle, Mr. Nestor Cyriel</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345770</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1271</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vanden Steen, Mr. Leo Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345783</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1272</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Cruyssen, Mr. Victor</td>\n",
       "      <td>male</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345765</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1273</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Planke, Miss. Augusta Maria</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>345764</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1274</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Planke, Mr. Julius</td>\n",
       "      <td>male</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>345763</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1275</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Planke, Mr. Leo Edmondus</td>\n",
       "      <td>male</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>345764</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1276</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Planke, Mrs. Julius (Emelia Maria Vande...</td>\n",
       "      <td>female</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>345763</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1277</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Vartanian, Mr. David</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2658</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>13 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1278</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vendel, Mr. Olof Edvin</td>\n",
       "      <td>male</td>\n",
       "      <td>20.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350416</td>\n",
       "      <td>7.8542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1279</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vestrom, Miss. Hulda Amanda Adolfina</td>\n",
       "      <td>female</td>\n",
       "      <td>14.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350406</td>\n",
       "      <td>7.8542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vovk, Mr. Janko</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349252</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Waelens, Mr. Achille</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345767</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antwerp, Belgium / Stanton, OH</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1285</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wenzel, Mr. Linhart</td>\n",
       "      <td>male</td>\n",
       "      <td>32.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345775</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>298</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Whabee, Mrs. George Joseph (Shawneene Abi-Saab)</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2688</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Widegren, Mr. Carl/Charles Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>51.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>347064</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Jakob Alfred</td>\n",
       "      <td>male</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101267</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>314</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Karl Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101266</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>363272</td>\n",
       "      <td>7.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Williams, Mr. Leslie</td>\n",
       "      <td>male</td>\n",
       "      <td>28.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>54636</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Windelov, Mr. Einar</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101317</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wirz, Mr. Albert</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315154</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1298</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wittevrongel, Mr. Camille</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345771</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yasbeck, Mr. Antoni</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Yasbeck, Mrs. Antoni (Selini Alexander)</td>\n",
       "      <td>female</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Youseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>45.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2628</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>312</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zabour, Miss. Hileni</td>\n",
       "      <td>female</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2665</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>328</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Mapriededer</td>\n",
       "      <td>male</td>\n",
       "      <td>26.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2656</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>304</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Ortin</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2670</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zimmerman, Mr. Leo</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315082</td>\n",
       "      <td>7.8750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1046 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass  survived                                               name  \\\n",
       "ID                                                                          \n",
       "0          1         1                      Allen, Miss. Elisabeth Walton   \n",
       "1          1         1                     Allison, Master. Hudson Trevor   \n",
       "2          1         0                       Allison, Miss. Helen Loraine   \n",
       "3          1         0               Allison, Mr. Hudson Joshua Creighton   \n",
       "4          1         0    Allison, Mrs. Hudson J C (Bessie Waldo Daniels)   \n",
       "5          1         1                                Anderson, Mr. Harry   \n",
       "6          1         1                  Andrews, Miss. Kornelia Theodosia   \n",
       "7          1         0                             Andrews, Mr. Thomas Jr   \n",
       "8          1         1      Appleton, Mrs. Edward Dale (Charlotte Lamson)   \n",
       "9          1         0                            Artagaveytia, Mr. Ramon   \n",
       "10         1         0                             Astor, Col. John Jacob   \n",
       "11         1         1  Astor, Mrs. John Jacob (Madeleine Talmadge Force)   \n",
       "12         1         1                      Aubart, Mme. Leontine Pauline   \n",
       "13         1         1                       Barber, Miss. Ellen \"Nellie\"   \n",
       "14         1         1               Barkworth, Mr. Algernon Henry Wilson   \n",
       "16         1         0                           Baxter, Mr. Quigg Edmond   \n",
       "17         1         1    Baxter, Mrs. James (Helene DeLaudeniere Chaput)   \n",
       "18         1         1                              Bazzani, Miss. Albina   \n",
       "19         1         0                               Beattie, Mr. Thomson   \n",
       "20         1         1                      Beckwith, Mr. Richard Leonard   \n",
       "21         1         1   Beckwith, Mrs. Richard Leonard (Sallie Monypeny)   \n",
       "22         1         1                              Behr, Mr. Karl Howell   \n",
       "23         1         1                              Bidois, Miss. Rosalie   \n",
       "24         1         1                                  Bird, Miss. Ellen   \n",
       "25         1         0                                Birnbaum, Mr. Jakob   \n",
       "26         1         1                            Bishop, Mr. Dickinson H   \n",
       "27         1         1            Bishop, Mrs. Dickinson H (Helen Walton)   \n",
       "28         1         1                             Bissette, Miss. Amelia   \n",
       "29         1         1          Bjornstrom-Steffansson, Mr. Mauritz Hakan   \n",
       "30         1         0                       Blackwell, Mr. Stephen Weart   \n",
       "...      ...       ...                                                ...   \n",
       "1269       3         0                   Vande Velde, Mr. Johannes Joseph   \n",
       "1270       3         0                     Vande Walle, Mr. Nestor Cyriel   \n",
       "1271       3         0                        Vanden Steen, Mr. Leo Peter   \n",
       "1272       3         0                        Vander Cruyssen, Mr. Victor   \n",
       "1273       3         0                 Vander Planke, Miss. Augusta Maria   \n",
       "1274       3         0                          Vander Planke, Mr. Julius   \n",
       "1275       3         0                    Vander Planke, Mr. Leo Edmondus   \n",
       "1276       3         0  Vander Planke, Mrs. Julius (Emelia Maria Vande...   \n",
       "1277       3         1                               Vartanian, Mr. David   \n",
       "1278       3         0                             Vendel, Mr. Olof Edvin   \n",
       "1279       3         0               Vestrom, Miss. Hulda Amanda Adolfina   \n",
       "1280       3         0                                    Vovk, Mr. Janko   \n",
       "1281       3         0                               Waelens, Mr. Achille   \n",
       "1285       3         0                                Wenzel, Mr. Linhart   \n",
       "1286       3         1    Whabee, Mrs. George Joseph (Shawneene Abi-Saab)   \n",
       "1287       3         0                   Widegren, Mr. Carl/Charles Peter   \n",
       "1288       3         0                          Wiklund, Mr. Jakob Alfred   \n",
       "1289       3         0                            Wiklund, Mr. Karl Johan   \n",
       "1290       3         1                   Wilkes, Mrs. James (Ellen Needs)   \n",
       "1294       3         0                               Williams, Mr. Leslie   \n",
       "1295       3         0                                Windelov, Mr. Einar   \n",
       "1296       3         0                                   Wirz, Mr. Albert   \n",
       "1298       3         0                          Wittevrongel, Mr. Camille   \n",
       "1299       3         0                                Yasbeck, Mr. Antoni   \n",
       "1300       3         1            Yasbeck, Mrs. Antoni (Selini Alexander)   \n",
       "1301       3         0                               Youseff, Mr. Gerious   \n",
       "1304       3         0                               Zabour, Miss. Hileni   \n",
       "1306       3         0                          Zakarian, Mr. Mapriededer   \n",
       "1307       3         0                                Zakarian, Mr. Ortin   \n",
       "1308       3         0                                 Zimmerman, Mr. Leo   \n",
       "\n",
       "         sex      age  sibsp  parch            ticket      fare    cabin  \\\n",
       "ID                                                                         \n",
       "0     female  29.0000      0      0             24160  211.3375       B5   \n",
       "1       male   0.9167      1      2            113781  151.5500  C22 C26   \n",
       "2     female   2.0000      1      2            113781  151.5500  C22 C26   \n",
       "3       male  30.0000      1      2            113781  151.5500  C22 C26   \n",
       "4     female  25.0000      1      2            113781  151.5500  C22 C26   \n",
       "5       male  48.0000      0      0             19952   26.5500      E12   \n",
       "6     female  63.0000      1      0             13502   77.9583       D7   \n",
       "7       male  39.0000      0      0            112050    0.0000      A36   \n",
       "8     female  53.0000      2      0             11769   51.4792     C101   \n",
       "9       male  71.0000      0      0          PC 17609   49.5042      NaN   \n",
       "10      male  47.0000      1      0          PC 17757  227.5250  C62 C64   \n",
       "11    female  18.0000      1      0          PC 17757  227.5250  C62 C64   \n",
       "12    female  24.0000      0      0          PC 17477   69.3000      B35   \n",
       "13    female  26.0000      0      0             19877   78.8500      NaN   \n",
       "14      male  80.0000      0      0             27042   30.0000      A23   \n",
       "16      male  24.0000      0      1          PC 17558  247.5208  B58 B60   \n",
       "17    female  50.0000      0      1          PC 17558  247.5208  B58 B60   \n",
       "18    female  32.0000      0      0             11813   76.2917      D15   \n",
       "19      male  36.0000      0      0             13050   75.2417       C6   \n",
       "20      male  37.0000      1      1             11751   52.5542      D35   \n",
       "21    female  47.0000      1      1             11751   52.5542      D35   \n",
       "22      male  26.0000      0      0            111369   30.0000     C148   \n",
       "23    female  42.0000      0      0          PC 17757  227.5250      NaN   \n",
       "24    female  29.0000      0      0          PC 17483  221.7792      C97   \n",
       "25      male  25.0000      0      0             13905   26.0000      NaN   \n",
       "26      male  25.0000      1      0             11967   91.0792      B49   \n",
       "27    female  19.0000      1      0             11967   91.0792      B49   \n",
       "28    female  35.0000      0      0          PC 17760  135.6333      C99   \n",
       "29      male  28.0000      0      0            110564   26.5500      C52   \n",
       "30      male  45.0000      0      0            113784   35.5000        T   \n",
       "...      ...      ...    ...    ...               ...       ...      ...   \n",
       "1269    male  33.0000      0      0            345780    9.5000      NaN   \n",
       "1270    male  28.0000      0      0            345770    9.5000      NaN   \n",
       "1271    male  28.0000      0      0            345783    9.5000      NaN   \n",
       "1272    male  47.0000      0      0            345765    9.0000      NaN   \n",
       "1273  female  18.0000      2      0            345764   18.0000      NaN   \n",
       "1274    male  31.0000      3      0            345763   18.0000      NaN   \n",
       "1275    male  16.0000      2      0            345764   18.0000      NaN   \n",
       "1276  female  31.0000      1      0            345763   18.0000      NaN   \n",
       "1277    male  22.0000      0      0              2658    7.2250      NaN   \n",
       "1278    male  20.0000      0      0            350416    7.8542      NaN   \n",
       "1279  female  14.0000      0      0            350406    7.8542      NaN   \n",
       "1280    male  22.0000      0      0            349252    7.8958      NaN   \n",
       "1281    male  22.0000      0      0            345767    9.0000      NaN   \n",
       "1285    male  32.5000      0      0            345775    9.5000      NaN   \n",
       "1286  female  38.0000      0      0              2688    7.2292      NaN   \n",
       "1287    male  51.0000      0      0            347064    7.7500      NaN   \n",
       "1288    male  18.0000      1      0           3101267    6.4958      NaN   \n",
       "1289    male  21.0000      1      0           3101266    6.4958      NaN   \n",
       "1290  female  47.0000      1      0            363272    7.0000      NaN   \n",
       "1294    male  28.5000      0      0             54636   16.1000      NaN   \n",
       "1295    male  21.0000      0      0  SOTON/OQ 3101317    7.2500      NaN   \n",
       "1296    male  27.0000      0      0            315154    8.6625      NaN   \n",
       "1298    male  36.0000      0      0            345771    9.5000      NaN   \n",
       "1299    male  27.0000      1      0              2659   14.4542      NaN   \n",
       "1300  female  15.0000      1      0              2659   14.4542      NaN   \n",
       "1301    male  45.5000      0      0              2628    7.2250      NaN   \n",
       "1304  female  14.5000      1      0              2665   14.4542      NaN   \n",
       "1306    male  26.5000      0      0              2656    7.2250      NaN   \n",
       "1307    male  27.0000      0      0              2670    7.2250      NaN   \n",
       "1308    male  29.0000      0      0            315082    7.8750      NaN   \n",
       "\n",
       "     embarked   boat  body                           home.dest  fare_range  \n",
       "ID                                                                          \n",
       "0           S      2   NaN                        St Louis, MO  (100, 513]  \n",
       "1           S     11   NaN     Montreal, PQ / Chesterville, ON  (100, 513]  \n",
       "2           S    NaN   NaN     Montreal, PQ / Chesterville, ON  (100, 513]  \n",
       "3           S    NaN   135     Montreal, PQ / Chesterville, ON  (100, 513]  \n",
       "4           S    NaN   NaN     Montreal, PQ / Chesterville, ON  (100, 513]  \n",
       "5           S      3   NaN                        New York, NY    (20, 50]  \n",
       "6           S     10   NaN                          Hudson, NY   (50, 100]  \n",
       "7           S    NaN   NaN                         Belfast, NI     (-1, 0]  \n",
       "8           S      D   NaN                 Bayside, Queens, NY   (50, 100]  \n",
       "9           C    NaN    22                 Montevideo, Uruguay    (20, 50]  \n",
       "10          C    NaN   124                        New York, NY  (100, 513]  \n",
       "11          C      4   NaN                        New York, NY  (100, 513]  \n",
       "12          C      9   NaN                       Paris, France   (50, 100]  \n",
       "13          S      6   NaN                                 NaN   (50, 100]  \n",
       "14          S      B   NaN                       Hessle, Yorks    (20, 50]  \n",
       "16          C    NaN   NaN                        Montreal, PQ  (100, 513]  \n",
       "17          C      6   NaN                        Montreal, PQ  (100, 513]  \n",
       "18          C      8   NaN                                 NaN   (50, 100]  \n",
       "19          C      A   NaN                        Winnipeg, MN   (50, 100]  \n",
       "20          S      5   NaN                        New York, NY   (50, 100]  \n",
       "21          S      5   NaN                        New York, NY   (50, 100]  \n",
       "22          C      5   NaN                        New York, NY    (20, 50]  \n",
       "23          C      4   NaN                                 NaN  (100, 513]  \n",
       "24          S      8   NaN                                 NaN  (100, 513]  \n",
       "25          C    NaN   148                   San Francisco, CA    (20, 50]  \n",
       "26          C      7   NaN                        Dowagiac, MI   (50, 100]  \n",
       "27          C      7   NaN                        Dowagiac, MI   (50, 100]  \n",
       "28          S      8   NaN                                 NaN  (100, 513]  \n",
       "29          S      D   NaN  Stockholm, Sweden / Washington, DC    (20, 50]  \n",
       "30          S    NaN   NaN                         Trenton, NJ    (20, 50]  \n",
       "...       ...    ...   ...                                 ...         ...  \n",
       "1269        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1270        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1271        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1272        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1273        S    NaN   NaN                                 NaN    (10, 20]  \n",
       "1274        S    NaN   NaN                                 NaN    (10, 20]  \n",
       "1275        S    NaN   NaN                                 NaN    (10, 20]  \n",
       "1276        S    NaN   NaN                                 NaN    (10, 20]  \n",
       "1277        C  13 15   NaN                                 NaN     (0, 10]  \n",
       "1278        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1279        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1280        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1281        S    NaN   NaN      Antwerp, Belgium / Stanton, OH     (0, 10]  \n",
       "1285        S    NaN   298                                 NaN     (0, 10]  \n",
       "1286        C      C   NaN                                 NaN     (0, 10]  \n",
       "1287        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1288        S    NaN   314                                 NaN     (0, 10]  \n",
       "1289        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1290        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1294        S    NaN    14                                 NaN    (10, 20]  \n",
       "1295        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1296        S    NaN   131                                 NaN     (0, 10]  \n",
       "1298        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1299        C      C   NaN                                 NaN    (10, 20]  \n",
       "1300        C    NaN   NaN                                 NaN    (10, 20]  \n",
       "1301        C    NaN   312                                 NaN     (0, 10]  \n",
       "1304        C    NaN   328                                 NaN    (10, 20]  \n",
       "1306        C    NaN   304                                 NaN     (0, 10]  \n",
       "1307        C    NaN   NaN                                 NaN     (0, 10]  \n",
       "1308        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "\n",
       "[1046 rows x 15 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#alternative using series union\n",
    "df_titanic.loc[df_young.index.union(df_old.index)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we split the age by younger than 30 and older than 20 and then find the intersection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_young2 = df_titanic.loc[df_titanic.age <=30]\n",
    "df_old2 = df_titanic.loc[df_titanic.age >=20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#intersection\n",
    "df_inter = pd.merge(df_young2, df_old2, how='inner', left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pclass_x</th>\n",
       "      <th>survived_x</th>\n",
       "      <th>name_x</th>\n",
       "      <th>sex_x</th>\n",
       "      <th>age_x</th>\n",
       "      <th>sibsp_x</th>\n",
       "      <th>parch_x</th>\n",
       "      <th>ticket_x</th>\n",
       "      <th>fare_x</th>\n",
       "      <th>cabin_x</th>\n",
       "      <th>...</th>\n",
       "      <th>sibsp_y</th>\n",
       "      <th>parch_y</th>\n",
       "      <th>ticket_y</th>\n",
       "      <th>fare_y</th>\n",
       "      <th>cabin_y</th>\n",
       "      <th>embarked_y</th>\n",
       "      <th>boat_y</th>\n",
       "      <th>body_y</th>\n",
       "      <th>home.dest_y</th>\n",
       "      <th>fare_range_y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24160</td>\n",
       "      <td>211.3375</td>\n",
       "      <td>B5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24160</td>\n",
       "      <td>211.3375</td>\n",
       "      <td>B5</td>\n",
       "      <td>S</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Louis, MO</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mr. Hudson Joshua Creighton</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>\n",
       "      <td>female</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Aubart, Mme. Leontine Pauline</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17477</td>\n",
       "      <td>69.3000</td>\n",
       "      <td>B35</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17477</td>\n",
       "      <td>69.3000</td>\n",
       "      <td>B35</td>\n",
       "      <td>C</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paris, France</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barber, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19877</td>\n",
       "      <td>78.8500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19877</td>\n",
       "      <td>78.8500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Baxter, Mr. Quigg Edmond</td>\n",
       "      <td>male</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\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>...</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",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bird, Miss. Ellen</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17483</td>\n",
       "      <td>221.7792</td>\n",
       "      <td>C97</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17483</td>\n",
       "      <td>221.7792</td>\n",
       "      <td>C97</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Birnbaum, Mr. Jakob</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13905</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13905</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mr. Dickinson H</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bjornstrom-Steffansson, Mr. Mauritz Hakan</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110564</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C52</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110564</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C52</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm, Sweden / Washington, DC</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bonnell, Miss. Caroline</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36928</td>\n",
       "      <td>164.8667</td>\n",
       "      <td>C7</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36928</td>\n",
       "      <td>164.8667</td>\n",
       "      <td>C7</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Youngstown, OH</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bowerman, Miss. Elsie Edith</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>113505</td>\n",
       "      <td>55.0000</td>\n",
       "      <td>E33</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>113505</td>\n",
       "      <td>55.0000</td>\n",
       "      <td>E33</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Leonards-on-Sea, England Ohio</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Carrau, Mr. Francisco M</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113059</td>\n",
       "      <td>47.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113059</td>\n",
       "      <td>47.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montevideo, Uruguay</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Chambers, Mr. Norman Campbell</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113806</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>E8</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113806</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>E8</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY / Ithaca, NY</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cherry, Miss. Gladys</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110152</td>\n",
       "      <td>86.5000</td>\n",
       "      <td>B77</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110152</td>\n",
       "      <td>86.5000</td>\n",
       "      <td>B77</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>London, England</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Clark, Mr. Walter Miller</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13508</td>\n",
       "      <td>136.7792</td>\n",
       "      <td>C89</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13508</td>\n",
       "      <td>136.7792</td>\n",
       "      <td>C89</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Clark, Mrs. Walter Miller (Virginia McDowell)</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13508</td>\n",
       "      <td>136.7792</td>\n",
       "      <td>C89</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13508</td>\n",
       "      <td>136.7792</td>\n",
       "      <td>C89</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cleaver, Miss. Alice</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Daniel, Mr. Robert Williams</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113804</td>\n",
       "      <td>30.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113804</td>\n",
       "      <td>30.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Philadelphia, PA</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Davidson, Mrs. Thornton (Orian Hays)</td>\n",
       "      <td>female</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>F.C. 12750</td>\n",
       "      <td>52.0000</td>\n",
       "      <td>B71</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>F.C. 12750</td>\n",
       "      <td>52.0000</td>\n",
       "      <td>B71</td>\n",
       "      <td>S</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Douglas, Mrs. Frederick Charles (Mary Helene B...</td>\n",
       "      <td>female</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Earnshaw, Mrs. Boulton (Olive Potter)</td>\n",
       "      <td>female</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11767</td>\n",
       "      <td>83.1583</td>\n",
       "      <td>C54</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11767</td>\n",
       "      <td>83.1583</td>\n",
       "      <td>C54</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mt Airy, Philadelphia, PA</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Foreman, Mr. Benjamin Laventall</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113051</td>\n",
       "      <td>27.7500</td>\n",
       "      <td>C111</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113051</td>\n",
       "      <td>27.7500</td>\n",
       "      <td>C111</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Fortune, Miss. Alice Elizabeth</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
       "      <td>C23 C25 C27</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
       "      <td>C23 C25 C27</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Winnipeg, MB</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Fortune, Miss. Ethel Flora</td>\n",
       "      <td>female</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
       "      <td>C23 C25 C27</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
       "      <td>C23 C25 C27</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Winnipeg, MB</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Fortune, Miss. Mabel Helen</td>\n",
       "      <td>female</td>\n",
       "      <td>23.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
       "      <td>C23 C25 C27</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
       "      <td>C23 C25 C27</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Winnipeg, MB</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Francatelli, Miss. Laura Mabel</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17485</td>\n",
       "      <td>56.9292</td>\n",
       "      <td>E36</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17485</td>\n",
       "      <td>56.9292</td>\n",
       "      <td>E36</td>\n",
       "      <td>C</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Frolicher, Miss. Hedwig Margaritha</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>13568</td>\n",
       "      <td>49.5000</td>\n",
       "      <td>B39</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>13568</td>\n",
       "      <td>49.5000</td>\n",
       "      <td>B39</td>\n",
       "      <td>C</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zurich, Switzerland</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Gibson, Miss. Dorothy Winifred</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>112378</td>\n",
       "      <td>59.4000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>112378</td>\n",
       "      <td>59.4000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(50, 100]</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",
       "      <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>1192</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Sawyer, Mr. Frederick Charles</td>\n",
       "      <td>male</td>\n",
       "      <td>24.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>342826</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>342826</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>284</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1196</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sheerlinck, Mr. Jan Baptist</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345779</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345779</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1201</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Sirayanian, Mr. Orsen</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2669</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2669</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1204</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Sivola, Mr. Antti Wilhelm</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O 2. 3101280</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O 2. 3101280</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1218</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Somerton, Mr. Francis William</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A.5. 18509</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A.5. 18509</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1223</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Stanley, Miss. Amy Zillah Elsie</td>\n",
       "      <td>female</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>CA. 2314</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>CA. 2314</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1224</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Stanley, Mr. Edward Roland</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/4 45380</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/4 45380</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1227</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Strandberg, Miss. Ida Sofia</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7553</td>\n",
       "      <td>9.8375</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7553</td>\n",
       "      <td>9.8375</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1229</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Strilic, Mr. Ivan</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315083</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315083</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1231</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Strom, Mrs. Wilhelm (Elna Matilda Persson)</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>347054</td>\n",
       "      <td>10.4625</td>\n",
       "      <td>G6</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>347054</td>\n",
       "      <td>10.4625</td>\n",
       "      <td>G6</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Sutehall, Mr. Henry Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 392076</td>\n",
       "      <td>7.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 392076</td>\n",
       "      <td>7.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1237</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Svensson, Mr. Olof</td>\n",
       "      <td>male</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350035</td>\n",
       "      <td>7.7958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350035</td>\n",
       "      <td>7.7958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1238</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Tenglin, Mr. Gunnar Isidor</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350033</td>\n",
       "      <td>7.7958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350033</td>\n",
       "      <td>7.7958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>13 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1254</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Tornquist, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>LINE</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>LINE</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(-1, 0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1258</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Touma, Mrs. Darwis (Hanne Youssef Razi)</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2650</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2650</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1267</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Van Impe, Mrs. Jean Baptiste (Rosalie Paula Go...</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>345773</td>\n",
       "      <td>24.1500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>345773</td>\n",
       "      <td>24.1500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vande Walle, Mr. Nestor Cyriel</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345770</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345770</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1271</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vanden Steen, Mr. Leo Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345783</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345783</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1277</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Vartanian, Mr. David</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2658</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2658</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>13 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1278</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vendel, Mr. Olof Edvin</td>\n",
       "      <td>male</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350416</td>\n",
       "      <td>7.8542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350416</td>\n",
       "      <td>7.8542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vovk, Mr. Janko</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349252</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349252</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Waelens, Mr. Achille</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345767</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345767</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antwerp, Belgium / Stanton, OH</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Karl Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101266</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101266</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Williams, Mr. Leslie</td>\n",
       "      <td>male</td>\n",
       "      <td>28.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>54636</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>54636</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Windelov, Mr. Einar</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101317</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101317</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wirz, Mr. Albert</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315154</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315154</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yasbeck, Mr. Antoni</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Mapriededer</td>\n",
       "      <td>male</td>\n",
       "      <td>26.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2656</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2656</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>304</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Ortin</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2670</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2670</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zimmerman, Mr. Leo</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315082</td>\n",
       "      <td>7.8750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315082</td>\n",
       "      <td>7.8750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>384 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass_x  survived_x                                             name_x  \\\n",
       "ID                                                                              \n",
       "0            1           1                      Allen, Miss. Elisabeth Walton   \n",
       "3            1           0               Allison, Mr. Hudson Joshua Creighton   \n",
       "4            1           0    Allison, Mrs. Hudson J C (Bessie Waldo Daniels)   \n",
       "12           1           1                      Aubart, Mme. Leontine Pauline   \n",
       "13           1           1                       Barber, Miss. Ellen \"Nellie\"   \n",
       "16           1           0                           Baxter, Mr. Quigg Edmond   \n",
       "22           1           1                              Behr, Mr. Karl Howell   \n",
       "24           1           1                                  Bird, Miss. Ellen   \n",
       "25           1           0                                Birnbaum, Mr. Jakob   \n",
       "26           1           1                            Bishop, Mr. Dickinson H   \n",
       "29           1           1          Bjornstrom-Steffansson, Mr. Mauritz Hakan   \n",
       "32           1           1                            Bonnell, Miss. Caroline   \n",
       "36           1           1                        Bowerman, Miss. Elsie Edith   \n",
       "52           1           0                            Carrau, Mr. Francisco M   \n",
       "64           1           1                      Chambers, Mr. Norman Campbell   \n",
       "67           1           1                               Cherry, Miss. Gladys   \n",
       "71           1           0                           Clark, Mr. Walter Miller   \n",
       "72           1           1      Clark, Mrs. Walter Miller (Virginia McDowell)   \n",
       "73           1           1                               Cleaver, Miss. Alice   \n",
       "87           1           1                        Daniel, Mr. Robert Williams   \n",
       "90           1           1               Davidson, Mrs. Thornton (Orian Hays)   \n",
       "97           1           1  Douglas, Mrs. Frederick Charles (Mary Helene B...   \n",
       "102          1           1              Earnshaw, Mrs. Boulton (Olive Potter)   \n",
       "110          1           0                    Foreman, Mr. Benjamin Laventall   \n",
       "111          1           1                     Fortune, Miss. Alice Elizabeth   \n",
       "112          1           1                         Fortune, Miss. Ethel Flora   \n",
       "113          1           1                         Fortune, Miss. Mabel Helen   \n",
       "117          1           1                     Francatelli, Miss. Laura Mabel   \n",
       "122          1           1                 Frolicher, Miss. Hedwig Margaritha   \n",
       "130          1           1                     Gibson, Miss. Dorothy Winifred   \n",
       "...        ...         ...                                                ...   \n",
       "1192         3           0                      Sawyer, Mr. Frederick Charles   \n",
       "1196         3           1                        Sheerlinck, Mr. Jan Baptist   \n",
       "1201         3           0                              Sirayanian, Mr. Orsen   \n",
       "1204         3           0                          Sivola, Mr. Antti Wilhelm   \n",
       "1218         3           0                      Somerton, Mr. Francis William   \n",
       "1223         3           1                    Stanley, Miss. Amy Zillah Elsie   \n",
       "1224         3           0                         Stanley, Mr. Edward Roland   \n",
       "1227         3           0                        Strandberg, Miss. Ida Sofia   \n",
       "1229         3           0                                  Strilic, Mr. Ivan   \n",
       "1231         3           0         Strom, Mrs. Wilhelm (Elna Matilda Persson)   \n",
       "1234         3           0                             Sutehall, Mr. Henry Jr   \n",
       "1237         3           0                                 Svensson, Mr. Olof   \n",
       "1238         3           1                         Tenglin, Mr. Gunnar Isidor   \n",
       "1254         3           1                       Tornquist, Mr. William Henry   \n",
       "1258         3           1            Touma, Mrs. Darwis (Hanne Youssef Razi)   \n",
       "1267         3           0  Van Impe, Mrs. Jean Baptiste (Rosalie Paula Go...   \n",
       "1270         3           0                     Vande Walle, Mr. Nestor Cyriel   \n",
       "1271         3           0                        Vanden Steen, Mr. Leo Peter   \n",
       "1277         3           1                               Vartanian, Mr. David   \n",
       "1278         3           0                             Vendel, Mr. Olof Edvin   \n",
       "1280         3           0                                    Vovk, Mr. Janko   \n",
       "1281         3           0                               Waelens, Mr. Achille   \n",
       "1289         3           0                            Wiklund, Mr. Karl Johan   \n",
       "1294         3           0                               Williams, Mr. Leslie   \n",
       "1295         3           0                                Windelov, Mr. Einar   \n",
       "1296         3           0                                   Wirz, Mr. Albert   \n",
       "1299         3           0                                Yasbeck, Mr. Antoni   \n",
       "1306         3           0                          Zakarian, Mr. Mapriededer   \n",
       "1307         3           0                                Zakarian, Mr. Ortin   \n",
       "1308         3           0                                 Zimmerman, Mr. Leo   \n",
       "\n",
       "       sex_x  age_x  sibsp_x  parch_x           ticket_x    fare_x  \\\n",
       "ID                                                                   \n",
       "0     female   29.0        0        0              24160  211.3375   \n",
       "3       male   30.0        1        2             113781  151.5500   \n",
       "4     female   25.0        1        2             113781  151.5500   \n",
       "12    female   24.0        0        0           PC 17477   69.3000   \n",
       "13    female   26.0        0        0              19877   78.8500   \n",
       "16      male   24.0        0        1           PC 17558  247.5208   \n",
       "22      male   26.0        0        0             111369   30.0000   \n",
       "24    female   29.0        0        0           PC 17483  221.7792   \n",
       "25      male   25.0        0        0              13905   26.0000   \n",
       "26      male   25.0        1        0              11967   91.0792   \n",
       "29      male   28.0        0        0             110564   26.5500   \n",
       "32    female   30.0        0        0              36928  164.8667   \n",
       "36    female   22.0        0        1             113505   55.0000   \n",
       "52      male   28.0        0        0             113059   47.1000   \n",
       "64      male   27.0        1        0             113806   53.1000   \n",
       "67    female   30.0        0        0             110152   86.5000   \n",
       "71      male   27.0        1        0              13508  136.7792   \n",
       "72    female   26.0        1        0              13508  136.7792   \n",
       "73    female   22.0        0        0             113781  151.5500   \n",
       "87      male   27.0        0        0             113804   30.5000   \n",
       "90    female   27.0        1        2         F.C. 12750   52.0000   \n",
       "97    female   27.0        1        1           PC 17558  247.5208   \n",
       "102   female   23.0        0        1              11767   83.1583   \n",
       "110     male   30.0        0        0             113051   27.7500   \n",
       "111   female   24.0        3        2              19950  263.0000   \n",
       "112   female   28.0        3        2              19950  263.0000   \n",
       "113   female   23.0        3        2              19950  263.0000   \n",
       "117   female   30.0        0        0           PC 17485   56.9292   \n",
       "122   female   22.0        0        2              13568   49.5000   \n",
       "130   female   22.0        0        1             112378   59.4000   \n",
       "...      ...    ...      ...      ...                ...       ...   \n",
       "1192    male   24.5        0        0             342826    8.0500   \n",
       "1196    male   29.0        0        0             345779    9.5000   \n",
       "1201    male   22.0        0        0               2669    7.2292   \n",
       "1204    male   21.0        0        0  STON/O 2. 3101280    7.9250   \n",
       "1218    male   30.0        0        0         A.5. 18509    8.0500   \n",
       "1223  female   23.0        0        0           CA. 2314    7.5500   \n",
       "1224    male   21.0        0        0          A/4 45380    8.0500   \n",
       "1227  female   22.0        0        0               7553    9.8375   \n",
       "1229    male   27.0        0        0             315083    8.6625   \n",
       "1231  female   29.0        1        1             347054   10.4625   \n",
       "1234    male   25.0        0        0    SOTON/OQ 392076    7.0500   \n",
       "1237    male   24.0        0        0             350035    7.7958   \n",
       "1238    male   25.0        0        0             350033    7.7958   \n",
       "1254    male   25.0        0        0               LINE    0.0000   \n",
       "1258  female   29.0        0        2               2650   15.2458   \n",
       "1267  female   30.0        1        1             345773   24.1500   \n",
       "1270    male   28.0        0        0             345770    9.5000   \n",
       "1271    male   28.0        0        0             345783    9.5000   \n",
       "1277    male   22.0        0        0               2658    7.2250   \n",
       "1278    male   20.0        0        0             350416    7.8542   \n",
       "1280    male   22.0        0        0             349252    7.8958   \n",
       "1281    male   22.0        0        0             345767    9.0000   \n",
       "1289    male   21.0        1        0            3101266    6.4958   \n",
       "1294    male   28.5        0        0              54636   16.1000   \n",
       "1295    male   21.0        0        0   SOTON/OQ 3101317    7.2500   \n",
       "1296    male   27.0        0        0             315154    8.6625   \n",
       "1299    male   27.0        1        0               2659   14.4542   \n",
       "1306    male   26.5        0        0               2656    7.2250   \n",
       "1307    male   27.0        0        0               2670    7.2250   \n",
       "1308    male   29.0        0        0             315082    7.8750   \n",
       "\n",
       "          cabin_x      ...      sibsp_y parch_y           ticket_y    fare_y  \\\n",
       "ID                     ...                                                     \n",
       "0              B5      ...            0       0              24160  211.3375   \n",
       "3         C22 C26      ...            1       2             113781  151.5500   \n",
       "4         C22 C26      ...            1       2             113781  151.5500   \n",
       "12            B35      ...            0       0           PC 17477   69.3000   \n",
       "13            NaN      ...            0       0              19877   78.8500   \n",
       "16        B58 B60      ...            0       1           PC 17558  247.5208   \n",
       "22           C148      ...            0       0             111369   30.0000   \n",
       "24            C97      ...            0       0           PC 17483  221.7792   \n",
       "25            NaN      ...            0       0              13905   26.0000   \n",
       "26            B49      ...            1       0              11967   91.0792   \n",
       "29            C52      ...            0       0             110564   26.5500   \n",
       "32             C7      ...            0       0              36928  164.8667   \n",
       "36            E33      ...            0       1             113505   55.0000   \n",
       "52            NaN      ...            0       0             113059   47.1000   \n",
       "64             E8      ...            1       0             113806   53.1000   \n",
       "67            B77      ...            0       0             110152   86.5000   \n",
       "71            C89      ...            1       0              13508  136.7792   \n",
       "72            C89      ...            1       0              13508  136.7792   \n",
       "73            NaN      ...            0       0             113781  151.5500   \n",
       "87            NaN      ...            0       0             113804   30.5000   \n",
       "90            B71      ...            1       2         F.C. 12750   52.0000   \n",
       "97        B58 B60      ...            1       1           PC 17558  247.5208   \n",
       "102           C54      ...            0       1              11767   83.1583   \n",
       "110          C111      ...            0       0             113051   27.7500   \n",
       "111   C23 C25 C27      ...            3       2              19950  263.0000   \n",
       "112   C23 C25 C27      ...            3       2              19950  263.0000   \n",
       "113   C23 C25 C27      ...            3       2              19950  263.0000   \n",
       "117           E36      ...            0       0           PC 17485   56.9292   \n",
       "122           B39      ...            0       2              13568   49.5000   \n",
       "130           NaN      ...            0       1             112378   59.4000   \n",
       "...           ...      ...          ...     ...                ...       ...   \n",
       "1192          NaN      ...            0       0             342826    8.0500   \n",
       "1196          NaN      ...            0       0             345779    9.5000   \n",
       "1201          NaN      ...            0       0               2669    7.2292   \n",
       "1204          NaN      ...            0       0  STON/O 2. 3101280    7.9250   \n",
       "1218          NaN      ...            0       0         A.5. 18509    8.0500   \n",
       "1223          NaN      ...            0       0           CA. 2314    7.5500   \n",
       "1224          NaN      ...            0       0          A/4 45380    8.0500   \n",
       "1227          NaN      ...            0       0               7553    9.8375   \n",
       "1229          NaN      ...            0       0             315083    8.6625   \n",
       "1231           G6      ...            1       1             347054   10.4625   \n",
       "1234          NaN      ...            0       0    SOTON/OQ 392076    7.0500   \n",
       "1237          NaN      ...            0       0             350035    7.7958   \n",
       "1238          NaN      ...            0       0             350033    7.7958   \n",
       "1254          NaN      ...            0       0               LINE    0.0000   \n",
       "1258          NaN      ...            0       2               2650   15.2458   \n",
       "1267          NaN      ...            1       1             345773   24.1500   \n",
       "1270          NaN      ...            0       0             345770    9.5000   \n",
       "1271          NaN      ...            0       0             345783    9.5000   \n",
       "1277          NaN      ...            0       0               2658    7.2250   \n",
       "1278          NaN      ...            0       0             350416    7.8542   \n",
       "1280          NaN      ...            0       0             349252    7.8958   \n",
       "1281          NaN      ...            0       0             345767    9.0000   \n",
       "1289          NaN      ...            1       0            3101266    6.4958   \n",
       "1294          NaN      ...            0       0              54636   16.1000   \n",
       "1295          NaN      ...            0       0   SOTON/OQ 3101317    7.2500   \n",
       "1296          NaN      ...            0       0             315154    8.6625   \n",
       "1299          NaN      ...            1       0               2659   14.4542   \n",
       "1306          NaN      ...            0       0               2656    7.2250   \n",
       "1307          NaN      ...            0       0               2670    7.2250   \n",
       "1308          NaN      ...            0       0             315082    7.8750   \n",
       "\n",
       "          cabin_y  embarked_y  boat_y body_y  \\\n",
       "ID                                             \n",
       "0              B5           S       2    NaN   \n",
       "3         C22 C26           S     NaN    135   \n",
       "4         C22 C26           S     NaN    NaN   \n",
       "12            B35           C       9    NaN   \n",
       "13            NaN           S       6    NaN   \n",
       "16        B58 B60           C     NaN    NaN   \n",
       "22           C148           C       5    NaN   \n",
       "24            C97           S       8    NaN   \n",
       "25            NaN           C     NaN    148   \n",
       "26            B49           C       7    NaN   \n",
       "29            C52           S       D    NaN   \n",
       "32             C7           S       8    NaN   \n",
       "36            E33           S       6    NaN   \n",
       "52            NaN           S     NaN    NaN   \n",
       "64             E8           S       5    NaN   \n",
       "67            B77           S       8    NaN   \n",
       "71            C89           C     NaN    NaN   \n",
       "72            C89           C       4    NaN   \n",
       "73            NaN           S      11    NaN   \n",
       "87            NaN           S       3    NaN   \n",
       "90            B71           S       3    NaN   \n",
       "97        B58 B60           C       6    NaN   \n",
       "102           C54           C       7    NaN   \n",
       "110          C111           C     NaN    NaN   \n",
       "111   C23 C25 C27           S      10    NaN   \n",
       "112   C23 C25 C27           S      10    NaN   \n",
       "113   C23 C25 C27           S      10    NaN   \n",
       "117           E36           C       1    NaN   \n",
       "122           B39           C       5    NaN   \n",
       "130           NaN           C       7    NaN   \n",
       "...           ...         ...     ...    ...   \n",
       "1192          NaN           S     NaN    284   \n",
       "1196          NaN           S      11    NaN   \n",
       "1201          NaN           C     NaN    NaN   \n",
       "1204          NaN           S     NaN    NaN   \n",
       "1218          NaN           S     NaN    NaN   \n",
       "1223          NaN           S       C    NaN   \n",
       "1224          NaN           S     NaN    NaN   \n",
       "1227          NaN           S     NaN    NaN   \n",
       "1229          NaN           S     NaN    NaN   \n",
       "1231           G6           S     NaN    NaN   \n",
       "1234          NaN           S     NaN    NaN   \n",
       "1237          NaN           S     NaN    NaN   \n",
       "1238          NaN           S   13 15    NaN   \n",
       "1254          NaN           S      15    NaN   \n",
       "1258          NaN           C       C    NaN   \n",
       "1267          NaN           S     NaN    NaN   \n",
       "1270          NaN           S     NaN    NaN   \n",
       "1271          NaN           S     NaN    NaN   \n",
       "1277          NaN           C   13 15    NaN   \n",
       "1278          NaN           S     NaN    NaN   \n",
       "1280          NaN           S     NaN    NaN   \n",
       "1281          NaN           S     NaN    NaN   \n",
       "1289          NaN           S     NaN    NaN   \n",
       "1294          NaN           S     NaN     14   \n",
       "1295          NaN           S     NaN    NaN   \n",
       "1296          NaN           S     NaN    131   \n",
       "1299          NaN           C       C    NaN   \n",
       "1306          NaN           C     NaN    304   \n",
       "1307          NaN           C     NaN    NaN   \n",
       "1308          NaN           S     NaN    NaN   \n",
       "\n",
       "                             home.dest_y  fare_range_y  \n",
       "ID                                                      \n",
       "0                           St Louis, MO    (100, 513]  \n",
       "3        Montreal, PQ / Chesterville, ON    (100, 513]  \n",
       "4        Montreal, PQ / Chesterville, ON    (100, 513]  \n",
       "12                         Paris, France     (50, 100]  \n",
       "13                                   NaN     (50, 100]  \n",
       "16                          Montreal, PQ    (100, 513]  \n",
       "22                          New York, NY      (20, 50]  \n",
       "24                                   NaN    (100, 513]  \n",
       "25                     San Francisco, CA      (20, 50]  \n",
       "26                          Dowagiac, MI     (50, 100]  \n",
       "29    Stockholm, Sweden / Washington, DC      (20, 50]  \n",
       "32                        Youngstown, OH    (100, 513]  \n",
       "36      St Leonards-on-Sea, England Ohio     (50, 100]  \n",
       "52                   Montevideo, Uruguay      (20, 50]  \n",
       "64             New York, NY / Ithaca, NY     (50, 100]  \n",
       "67                       London, England     (50, 100]  \n",
       "71                       Los Angeles, CA    (100, 513]  \n",
       "72                       Los Angeles, CA    (100, 513]  \n",
       "73                                   NaN    (100, 513]  \n",
       "87                      Philadelphia, PA      (20, 50]  \n",
       "90                          Montreal, PQ     (50, 100]  \n",
       "97                          Montreal, PQ    (100, 513]  \n",
       "102            Mt Airy, Philadelphia, PA     (50, 100]  \n",
       "110                         New York, NY      (20, 50]  \n",
       "111                         Winnipeg, MB    (100, 513]  \n",
       "112                         Winnipeg, MB    (100, 513]  \n",
       "113                         Winnipeg, MB    (100, 513]  \n",
       "117                                  NaN     (50, 100]  \n",
       "122                  Zurich, Switzerland      (20, 50]  \n",
       "130                         New York, NY     (50, 100]  \n",
       "...                                  ...           ...  \n",
       "1192                                 NaN       (0, 10]  \n",
       "1196                                 NaN       (0, 10]  \n",
       "1201                                 NaN       (0, 10]  \n",
       "1204                                 NaN       (0, 10]  \n",
       "1218                                 NaN       (0, 10]  \n",
       "1223                                 NaN       (0, 10]  \n",
       "1224                                 NaN       (0, 10]  \n",
       "1227                                 NaN       (0, 10]  \n",
       "1229                                 NaN       (0, 10]  \n",
       "1231                                 NaN      (10, 20]  \n",
       "1234                                 NaN       (0, 10]  \n",
       "1237                                 NaN       (0, 10]  \n",
       "1238                                 NaN       (0, 10]  \n",
       "1254                                 NaN       (-1, 0]  \n",
       "1258                                 NaN      (10, 20]  \n",
       "1267                                 NaN      (20, 50]  \n",
       "1270                                 NaN       (0, 10]  \n",
       "1271                                 NaN       (0, 10]  \n",
       "1277                                 NaN       (0, 10]  \n",
       "1278                                 NaN       (0, 10]  \n",
       "1280                                 NaN       (0, 10]  \n",
       "1281      Antwerp, Belgium / Stanton, OH       (0, 10]  \n",
       "1289                                 NaN       (0, 10]  \n",
       "1294                                 NaN      (10, 20]  \n",
       "1295                                 NaN       (0, 10]  \n",
       "1296                                 NaN       (0, 10]  \n",
       "1299                                 NaN      (10, 20]  \n",
       "1306                                 NaN       (0, 10]  \n",
       "1307                                 NaN       (0, 10]  \n",
       "1308                                 NaN       (0, 10]  \n",
       "\n",
       "[384 rows x 30 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_inter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pclass</th>\n",
       "      <th>survived</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "      <th>fare_range</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24160</td>\n",
       "      <td>211.3375</td>\n",
       "      <td>B5</td>\n",
       "      <td>S</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Louis, MO</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mr. Hudson Joshua Creighton</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>\n",
       "      <td>female</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Aubart, Mme. Leontine Pauline</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17477</td>\n",
       "      <td>69.3000</td>\n",
       "      <td>B35</td>\n",
       "      <td>C</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paris, France</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barber, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19877</td>\n",
       "      <td>78.8500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Baxter, Mr. Quigg Edmond</td>\n",
       "      <td>male</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\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",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bird, Miss. Ellen</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17483</td>\n",
       "      <td>221.7792</td>\n",
       "      <td>C97</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Birnbaum, Mr. Jakob</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13905</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mr. Dickinson H</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bjornstrom-Steffansson, Mr. Mauritz Hakan</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110564</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C52</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm, Sweden / Washington, DC</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bonnell, Miss. Caroline</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36928</td>\n",
       "      <td>164.8667</td>\n",
       "      <td>C7</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Youngstown, OH</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bowerman, Miss. Elsie Edith</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>113505</td>\n",
       "      <td>55.0000</td>\n",
       "      <td>E33</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Leonards-on-Sea, England Ohio</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Carrau, Mr. Francisco M</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113059</td>\n",
       "      <td>47.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montevideo, Uruguay</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Chambers, Mr. Norman Campbell</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113806</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>E8</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY / Ithaca, NY</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cherry, Miss. Gladys</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110152</td>\n",
       "      <td>86.5000</td>\n",
       "      <td>B77</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>London, England</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Clark, Mr. Walter Miller</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13508</td>\n",
       "      <td>136.7792</td>\n",
       "      <td>C89</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Clark, Mrs. Walter Miller (Virginia McDowell)</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13508</td>\n",
       "      <td>136.7792</td>\n",
       "      <td>C89</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cleaver, Miss. Alice</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Daniel, Mr. Robert Williams</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113804</td>\n",
       "      <td>30.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Philadelphia, PA</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Davidson, Mrs. Thornton (Orian Hays)</td>\n",
       "      <td>female</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>F.C. 12750</td>\n",
       "      <td>52.0000</td>\n",
       "      <td>B71</td>\n",
       "      <td>S</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Douglas, Mrs. Frederick Charles (Mary Helene B...</td>\n",
       "      <td>female</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Earnshaw, Mrs. Boulton (Olive Potter)</td>\n",
       "      <td>female</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11767</td>\n",
       "      <td>83.1583</td>\n",
       "      <td>C54</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mt Airy, Philadelphia, PA</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Foreman, Mr. Benjamin Laventall</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113051</td>\n",
       "      <td>27.7500</td>\n",
       "      <td>C111</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Fortune, Miss. Alice Elizabeth</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
       "      <td>C23 C25 C27</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Winnipeg, MB</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Fortune, Miss. Ethel Flora</td>\n",
       "      <td>female</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
       "      <td>C23 C25 C27</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Winnipeg, MB</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Fortune, Miss. Mabel Helen</td>\n",
       "      <td>female</td>\n",
       "      <td>23.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19950</td>\n",
       "      <td>263.0000</td>\n",
       "      <td>C23 C25 C27</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Winnipeg, MB</td>\n",
       "      <td>(100, 513]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Francatelli, Miss. Laura Mabel</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17485</td>\n",
       "      <td>56.9292</td>\n",
       "      <td>E36</td>\n",
       "      <td>C</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(50, 100]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Frolicher, Miss. Hedwig Margaritha</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>13568</td>\n",
       "      <td>49.5000</td>\n",
       "      <td>B39</td>\n",
       "      <td>C</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Zurich, Switzerland</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Gibson, Miss. Dorothy Winifred</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>112378</td>\n",
       "      <td>59.4000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>(50, 100]</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1192</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Sawyer, Mr. Frederick Charles</td>\n",
       "      <td>male</td>\n",
       "      <td>24.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>342826</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>284</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1196</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Sheerlinck, Mr. Jan Baptist</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345779</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1201</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Sirayanian, Mr. Orsen</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2669</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1204</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Sivola, Mr. Antti Wilhelm</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O 2. 3101280</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1218</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Somerton, Mr. Francis William</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A.5. 18509</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1223</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Stanley, Miss. Amy Zillah Elsie</td>\n",
       "      <td>female</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>CA. 2314</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1224</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Stanley, Mr. Edward Roland</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/4 45380</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1227</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Strandberg, Miss. Ida Sofia</td>\n",
       "      <td>female</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7553</td>\n",
       "      <td>9.8375</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1229</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Strilic, Mr. Ivan</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315083</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1231</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Strom, Mrs. Wilhelm (Elna Matilda Persson)</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>347054</td>\n",
       "      <td>10.4625</td>\n",
       "      <td>G6</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Sutehall, Mr. Henry Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 392076</td>\n",
       "      <td>7.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1237</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Svensson, Mr. Olof</td>\n",
       "      <td>male</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350035</td>\n",
       "      <td>7.7958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1238</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Tenglin, Mr. Gunnar Isidor</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350033</td>\n",
       "      <td>7.7958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>13 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1254</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Tornquist, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>LINE</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(-1, 0]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1258</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Touma, Mrs. Darwis (Hanne Youssef Razi)</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2650</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1267</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Van Impe, Mrs. Jean Baptiste (Rosalie Paula Go...</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>345773</td>\n",
       "      <td>24.1500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20, 50]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vande Walle, Mr. Nestor Cyriel</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345770</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1271</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vanden Steen, Mr. Leo Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345783</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1277</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Vartanian, Mr. David</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2658</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>13 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1278</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vendel, Mr. Olof Edvin</td>\n",
       "      <td>male</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350416</td>\n",
       "      <td>7.8542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vovk, Mr. Janko</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349252</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Waelens, Mr. Achille</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345767</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antwerp, Belgium / Stanton, OH</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Karl Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101266</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Williams, Mr. Leslie</td>\n",
       "      <td>male</td>\n",
       "      <td>28.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>54636</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Windelov, Mr. Einar</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101317</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wirz, Mr. Albert</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315154</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yasbeck, Mr. Antoni</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10, 20]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Mapriededer</td>\n",
       "      <td>male</td>\n",
       "      <td>26.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2656</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>304</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Ortin</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2670</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zimmerman, Mr. Leo</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315082</td>\n",
       "      <td>7.8750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(0, 10]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>384 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass  survived                                               name  \\\n",
       "ID                                                                          \n",
       "0          1         1                      Allen, Miss. Elisabeth Walton   \n",
       "3          1         0               Allison, Mr. Hudson Joshua Creighton   \n",
       "4          1         0    Allison, Mrs. Hudson J C (Bessie Waldo Daniels)   \n",
       "12         1         1                      Aubart, Mme. Leontine Pauline   \n",
       "13         1         1                       Barber, Miss. Ellen \"Nellie\"   \n",
       "16         1         0                           Baxter, Mr. Quigg Edmond   \n",
       "22         1         1                              Behr, Mr. Karl Howell   \n",
       "24         1         1                                  Bird, Miss. Ellen   \n",
       "25         1         0                                Birnbaum, Mr. Jakob   \n",
       "26         1         1                            Bishop, Mr. Dickinson H   \n",
       "29         1         1          Bjornstrom-Steffansson, Mr. Mauritz Hakan   \n",
       "32         1         1                            Bonnell, Miss. Caroline   \n",
       "36         1         1                        Bowerman, Miss. Elsie Edith   \n",
       "52         1         0                            Carrau, Mr. Francisco M   \n",
       "64         1         1                      Chambers, Mr. Norman Campbell   \n",
       "67         1         1                               Cherry, Miss. Gladys   \n",
       "71         1         0                           Clark, Mr. Walter Miller   \n",
       "72         1         1      Clark, Mrs. Walter Miller (Virginia McDowell)   \n",
       "73         1         1                               Cleaver, Miss. Alice   \n",
       "87         1         1                        Daniel, Mr. Robert Williams   \n",
       "90         1         1               Davidson, Mrs. Thornton (Orian Hays)   \n",
       "97         1         1  Douglas, Mrs. Frederick Charles (Mary Helene B...   \n",
       "102        1         1              Earnshaw, Mrs. Boulton (Olive Potter)   \n",
       "110        1         0                    Foreman, Mr. Benjamin Laventall   \n",
       "111        1         1                     Fortune, Miss. Alice Elizabeth   \n",
       "112        1         1                         Fortune, Miss. Ethel Flora   \n",
       "113        1         1                         Fortune, Miss. Mabel Helen   \n",
       "117        1         1                     Francatelli, Miss. Laura Mabel   \n",
       "122        1         1                 Frolicher, Miss. Hedwig Margaritha   \n",
       "130        1         1                     Gibson, Miss. Dorothy Winifred   \n",
       "...      ...       ...                                                ...   \n",
       "1192       3         0                      Sawyer, Mr. Frederick Charles   \n",
       "1196       3         1                        Sheerlinck, Mr. Jan Baptist   \n",
       "1201       3         0                              Sirayanian, Mr. Orsen   \n",
       "1204       3         0                          Sivola, Mr. Antti Wilhelm   \n",
       "1218       3         0                      Somerton, Mr. Francis William   \n",
       "1223       3         1                    Stanley, Miss. Amy Zillah Elsie   \n",
       "1224       3         0                         Stanley, Mr. Edward Roland   \n",
       "1227       3         0                        Strandberg, Miss. Ida Sofia   \n",
       "1229       3         0                                  Strilic, Mr. Ivan   \n",
       "1231       3         0         Strom, Mrs. Wilhelm (Elna Matilda Persson)   \n",
       "1234       3         0                             Sutehall, Mr. Henry Jr   \n",
       "1237       3         0                                 Svensson, Mr. Olof   \n",
       "1238       3         1                         Tenglin, Mr. Gunnar Isidor   \n",
       "1254       3         1                       Tornquist, Mr. William Henry   \n",
       "1258       3         1            Touma, Mrs. Darwis (Hanne Youssef Razi)   \n",
       "1267       3         0  Van Impe, Mrs. Jean Baptiste (Rosalie Paula Go...   \n",
       "1270       3         0                     Vande Walle, Mr. Nestor Cyriel   \n",
       "1271       3         0                        Vanden Steen, Mr. Leo Peter   \n",
       "1277       3         1                               Vartanian, Mr. David   \n",
       "1278       3         0                             Vendel, Mr. Olof Edvin   \n",
       "1280       3         0                                    Vovk, Mr. Janko   \n",
       "1281       3         0                               Waelens, Mr. Achille   \n",
       "1289       3         0                            Wiklund, Mr. Karl Johan   \n",
       "1294       3         0                               Williams, Mr. Leslie   \n",
       "1295       3         0                                Windelov, Mr. Einar   \n",
       "1296       3         0                                   Wirz, Mr. Albert   \n",
       "1299       3         0                                Yasbeck, Mr. Antoni   \n",
       "1306       3         0                          Zakarian, Mr. Mapriededer   \n",
       "1307       3         0                                Zakarian, Mr. Ortin   \n",
       "1308       3         0                                 Zimmerman, Mr. Leo   \n",
       "\n",
       "         sex   age  sibsp  parch             ticket      fare        cabin  \\\n",
       "ID                                                                           \n",
       "0     female  29.0      0      0              24160  211.3375           B5   \n",
       "3       male  30.0      1      2             113781  151.5500      C22 C26   \n",
       "4     female  25.0      1      2             113781  151.5500      C22 C26   \n",
       "12    female  24.0      0      0           PC 17477   69.3000          B35   \n",
       "13    female  26.0      0      0              19877   78.8500          NaN   \n",
       "16      male  24.0      0      1           PC 17558  247.5208      B58 B60   \n",
       "22      male  26.0      0      0             111369   30.0000         C148   \n",
       "24    female  29.0      0      0           PC 17483  221.7792          C97   \n",
       "25      male  25.0      0      0              13905   26.0000          NaN   \n",
       "26      male  25.0      1      0              11967   91.0792          B49   \n",
       "29      male  28.0      0      0             110564   26.5500          C52   \n",
       "32    female  30.0      0      0              36928  164.8667           C7   \n",
       "36    female  22.0      0      1             113505   55.0000          E33   \n",
       "52      male  28.0      0      0             113059   47.1000          NaN   \n",
       "64      male  27.0      1      0             113806   53.1000           E8   \n",
       "67    female  30.0      0      0             110152   86.5000          B77   \n",
       "71      male  27.0      1      0              13508  136.7792          C89   \n",
       "72    female  26.0      1      0              13508  136.7792          C89   \n",
       "73    female  22.0      0      0             113781  151.5500          NaN   \n",
       "87      male  27.0      0      0             113804   30.5000          NaN   \n",
       "90    female  27.0      1      2         F.C. 12750   52.0000          B71   \n",
       "97    female  27.0      1      1           PC 17558  247.5208      B58 B60   \n",
       "102   female  23.0      0      1              11767   83.1583          C54   \n",
       "110     male  30.0      0      0             113051   27.7500         C111   \n",
       "111   female  24.0      3      2              19950  263.0000  C23 C25 C27   \n",
       "112   female  28.0      3      2              19950  263.0000  C23 C25 C27   \n",
       "113   female  23.0      3      2              19950  263.0000  C23 C25 C27   \n",
       "117   female  30.0      0      0           PC 17485   56.9292          E36   \n",
       "122   female  22.0      0      2              13568   49.5000          B39   \n",
       "130   female  22.0      0      1             112378   59.4000          NaN   \n",
       "...      ...   ...    ...    ...                ...       ...          ...   \n",
       "1192    male  24.5      0      0             342826    8.0500          NaN   \n",
       "1196    male  29.0      0      0             345779    9.5000          NaN   \n",
       "1201    male  22.0      0      0               2669    7.2292          NaN   \n",
       "1204    male  21.0      0      0  STON/O 2. 3101280    7.9250          NaN   \n",
       "1218    male  30.0      0      0         A.5. 18509    8.0500          NaN   \n",
       "1223  female  23.0      0      0           CA. 2314    7.5500          NaN   \n",
       "1224    male  21.0      0      0          A/4 45380    8.0500          NaN   \n",
       "1227  female  22.0      0      0               7553    9.8375          NaN   \n",
       "1229    male  27.0      0      0             315083    8.6625          NaN   \n",
       "1231  female  29.0      1      1             347054   10.4625           G6   \n",
       "1234    male  25.0      0      0    SOTON/OQ 392076    7.0500          NaN   \n",
       "1237    male  24.0      0      0             350035    7.7958          NaN   \n",
       "1238    male  25.0      0      0             350033    7.7958          NaN   \n",
       "1254    male  25.0      0      0               LINE    0.0000          NaN   \n",
       "1258  female  29.0      0      2               2650   15.2458          NaN   \n",
       "1267  female  30.0      1      1             345773   24.1500          NaN   \n",
       "1270    male  28.0      0      0             345770    9.5000          NaN   \n",
       "1271    male  28.0      0      0             345783    9.5000          NaN   \n",
       "1277    male  22.0      0      0               2658    7.2250          NaN   \n",
       "1278    male  20.0      0      0             350416    7.8542          NaN   \n",
       "1280    male  22.0      0      0             349252    7.8958          NaN   \n",
       "1281    male  22.0      0      0             345767    9.0000          NaN   \n",
       "1289    male  21.0      1      0            3101266    6.4958          NaN   \n",
       "1294    male  28.5      0      0              54636   16.1000          NaN   \n",
       "1295    male  21.0      0      0   SOTON/OQ 3101317    7.2500          NaN   \n",
       "1296    male  27.0      0      0             315154    8.6625          NaN   \n",
       "1299    male  27.0      1      0               2659   14.4542          NaN   \n",
       "1306    male  26.5      0      0               2656    7.2250          NaN   \n",
       "1307    male  27.0      0      0               2670    7.2250          NaN   \n",
       "1308    male  29.0      0      0             315082    7.8750          NaN   \n",
       "\n",
       "     embarked   boat  body                           home.dest  fare_range  \n",
       "ID                                                                          \n",
       "0           S      2   NaN                        St Louis, MO  (100, 513]  \n",
       "3           S    NaN   135     Montreal, PQ / Chesterville, ON  (100, 513]  \n",
       "4           S    NaN   NaN     Montreal, PQ / Chesterville, ON  (100, 513]  \n",
       "12          C      9   NaN                       Paris, France   (50, 100]  \n",
       "13          S      6   NaN                                 NaN   (50, 100]  \n",
       "16          C    NaN   NaN                        Montreal, PQ  (100, 513]  \n",
       "22          C      5   NaN                        New York, NY    (20, 50]  \n",
       "24          S      8   NaN                                 NaN  (100, 513]  \n",
       "25          C    NaN   148                   San Francisco, CA    (20, 50]  \n",
       "26          C      7   NaN                        Dowagiac, MI   (50, 100]  \n",
       "29          S      D   NaN  Stockholm, Sweden / Washington, DC    (20, 50]  \n",
       "32          S      8   NaN                      Youngstown, OH  (100, 513]  \n",
       "36          S      6   NaN    St Leonards-on-Sea, England Ohio   (50, 100]  \n",
       "52          S    NaN   NaN                 Montevideo, Uruguay    (20, 50]  \n",
       "64          S      5   NaN           New York, NY / Ithaca, NY   (50, 100]  \n",
       "67          S      8   NaN                     London, England   (50, 100]  \n",
       "71          C    NaN   NaN                     Los Angeles, CA  (100, 513]  \n",
       "72          C      4   NaN                     Los Angeles, CA  (100, 513]  \n",
       "73          S     11   NaN                                 NaN  (100, 513]  \n",
       "87          S      3   NaN                    Philadelphia, PA    (20, 50]  \n",
       "90          S      3   NaN                        Montreal, PQ   (50, 100]  \n",
       "97          C      6   NaN                        Montreal, PQ  (100, 513]  \n",
       "102         C      7   NaN           Mt Airy, Philadelphia, PA   (50, 100]  \n",
       "110         C    NaN   NaN                        New York, NY    (20, 50]  \n",
       "111         S     10   NaN                        Winnipeg, MB  (100, 513]  \n",
       "112         S     10   NaN                        Winnipeg, MB  (100, 513]  \n",
       "113         S     10   NaN                        Winnipeg, MB  (100, 513]  \n",
       "117         C      1   NaN                                 NaN   (50, 100]  \n",
       "122         C      5   NaN                 Zurich, Switzerland    (20, 50]  \n",
       "130         C      7   NaN                        New York, NY   (50, 100]  \n",
       "...       ...    ...   ...                                 ...         ...  \n",
       "1192        S    NaN   284                                 NaN     (0, 10]  \n",
       "1196        S     11   NaN                                 NaN     (0, 10]  \n",
       "1201        C    NaN   NaN                                 NaN     (0, 10]  \n",
       "1204        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1218        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1223        S      C   NaN                                 NaN     (0, 10]  \n",
       "1224        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1227        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1229        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1231        S    NaN   NaN                                 NaN    (10, 20]  \n",
       "1234        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1237        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1238        S  13 15   NaN                                 NaN     (0, 10]  \n",
       "1254        S     15   NaN                                 NaN     (-1, 0]  \n",
       "1258        C      C   NaN                                 NaN    (10, 20]  \n",
       "1267        S    NaN   NaN                                 NaN    (20, 50]  \n",
       "1270        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1271        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1277        C  13 15   NaN                                 NaN     (0, 10]  \n",
       "1278        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1280        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1281        S    NaN   NaN      Antwerp, Belgium / Stanton, OH     (0, 10]  \n",
       "1289        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1294        S    NaN    14                                 NaN    (10, 20]  \n",
       "1295        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "1296        S    NaN   131                                 NaN     (0, 10]  \n",
       "1299        C      C   NaN                                 NaN    (10, 20]  \n",
       "1306        C    NaN   304                                 NaN     (0, 10]  \n",
       "1307        C    NaN   NaN                                 NaN     (0, 10]  \n",
       "1308        S    NaN   NaN                                 NaN     (0, 10]  \n",
       "\n",
       "[384 rows x 15 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#alternative using series intersection\n",
    "df_titanic.loc[df_young2.index.intersection(df_old2.index)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cleaning Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pclass</th>\n",
       "      <th>survived</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24160</td>\n",
       "      <td>211.3375</td>\n",
       "      <td>B5</td>\n",
       "      <td>S</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Louis, MO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allison, Master. Hudson Trevor</td>\n",
       "      <td>male</td>\n",
       "      <td>0.9167</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Miss. Helen Loraine</td>\n",
       "      <td>female</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mr. Hudson Joshua Creighton</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>\n",
       "      <td>female</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Anderson, Mr. Harry</td>\n",
       "      <td>male</td>\n",
       "      <td>48.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19952</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>E12</td>\n",
       "      <td>S</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Andrews, Miss. Kornelia Theodosia</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13502</td>\n",
       "      <td>77.9583</td>\n",
       "      <td>D7</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hudson, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Andrews, Mr. Thomas Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>39.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112050</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>A36</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Belfast, NI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Appleton, Mrs. Edward Dale (Charlotte Lamson)</td>\n",
       "      <td>female</td>\n",
       "      <td>53.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>11769</td>\n",
       "      <td>51.4792</td>\n",
       "      <td>C101</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bayside, Queens, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Artagaveytia, Mr. Ramon</td>\n",
       "      <td>male</td>\n",
       "      <td>71.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17609</td>\n",
       "      <td>49.5042</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22</td>\n",
       "      <td>Montevideo, Uruguay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Astor, Col. John Jacob</td>\n",
       "      <td>male</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Astor, Mrs. John Jacob (Madeleine Talmadge Force)</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Aubart, Mme. Leontine Pauline</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17477</td>\n",
       "      <td>69.3000</td>\n",
       "      <td>B35</td>\n",
       "      <td>C</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paris, France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barber, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19877</td>\n",
       "      <td>78.8500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barkworth, Mr. Algernon Henry Wilson</td>\n",
       "      <td>male</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27042</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>A23</td>\n",
       "      <td>S</td>\n",
       "      <td>B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hessle, Yorks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Baumann, Mr. John D</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17318</td>\n",
       "      <td>25.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Baxter, Mr. Quigg Edmond</td>\n",
       "      <td>male</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Baxter, Mrs. James (Helene DeLaudeniere Chaput)</td>\n",
       "      <td>female</td>\n",
       "      <td>50.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bazzani, Miss. Albina</td>\n",
       "      <td>female</td>\n",
       "      <td>32.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11813</td>\n",
       "      <td>76.2917</td>\n",
       "      <td>D15</td>\n",
       "      <td>C</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Beattie, Mr. Thomson</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13050</td>\n",
       "      <td>75.2417</td>\n",
       "      <td>C6</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Winnipeg, MN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mr. Richard Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0000</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",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bidois, Miss. Rosalie</td>\n",
       "      <td>female</td>\n",
       "      <td>42.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bird, Miss. Ellen</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17483</td>\n",
       "      <td>221.7792</td>\n",
       "      <td>C97</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Birnbaum, Mr. Jakob</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13905</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mr. Dickinson H</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mrs. Dickinson H (Helen Walton)</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bissette, Miss. Amelia</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17760</td>\n",
       "      <td>135.6333</td>\n",
       "      <td>C99</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bjornstrom-Steffansson, Mr. Mauritz Hakan</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110564</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C52</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm, Sweden / Washington, DC</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vovk, Mr. Janko</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349252</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Waelens, Mr. Achille</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345767</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antwerp, Belgium / Stanton, OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1282</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Ware, Mr. Frederick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>359309</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1283</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Warren, Mr. Charles William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C.A. 49867</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1284</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Webber, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101316</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1285</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wenzel, Mr. Linhart</td>\n",
       "      <td>male</td>\n",
       "      <td>32.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345775</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>298</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Whabee, Mrs. George Joseph (Shawneene Abi-Saab)</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2688</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Widegren, Mr. Carl/Charles Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>51.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>347064</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Jakob Alfred</td>\n",
       "      <td>male</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101267</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>314</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Karl Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101266</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>363272</td>\n",
       "      <td>7.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1291</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Willer, Mr. Aaron (\"Abi Weller\")</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3410</td>\n",
       "      <td>8.7125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Willey, Mr. Edward</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>S.O./P.P. 751</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Williams, Mr. Howard Hugh \"Harry\"</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 2466</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Williams, Mr. Leslie</td>\n",
       "      <td>male</td>\n",
       "      <td>28.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>54636</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Windelov, Mr. Einar</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101317</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wirz, Mr. Albert</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315154</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiseman, Mr. Phillippe</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/4. 34244</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1298</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wittevrongel, Mr. Camille</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345771</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yasbeck, Mr. Antoni</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Yasbeck, Mrs. Antoni (Selini Alexander)</td>\n",
       "      <td>female</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Youseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>45.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2628</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>312</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1302</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yousif, Mr. Wazli</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2647</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1303</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yousseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2627</td>\n",
       "      <td>14.4583</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zabour, Miss. Hileni</td>\n",
       "      <td>female</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2665</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>328</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zabour, Miss. Thamine</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2665</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Mapriededer</td>\n",
       "      <td>male</td>\n",
       "      <td>26.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2656</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>304</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Ortin</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2670</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zimmerman, Mr. Leo</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315082</td>\n",
       "      <td>7.8750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1310 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass  survived                                               name  \\\n",
       "ID                                                                          \n",
       "0          1         1                      Allen, Miss. Elisabeth Walton   \n",
       "1          1         1                     Allison, Master. Hudson Trevor   \n",
       "2          1         0                       Allison, Miss. Helen Loraine   \n",
       "3          1         0               Allison, Mr. Hudson Joshua Creighton   \n",
       "4          1         0    Allison, Mrs. Hudson J C (Bessie Waldo Daniels)   \n",
       "5          1         1                                Anderson, Mr. Harry   \n",
       "6          1         1                  Andrews, Miss. Kornelia Theodosia   \n",
       "7          1         0                             Andrews, Mr. Thomas Jr   \n",
       "8          1         1      Appleton, Mrs. Edward Dale (Charlotte Lamson)   \n",
       "9          1         0                            Artagaveytia, Mr. Ramon   \n",
       "10         1         0                             Astor, Col. John Jacob   \n",
       "11         1         1  Astor, Mrs. John Jacob (Madeleine Talmadge Force)   \n",
       "12         1         1                      Aubart, Mme. Leontine Pauline   \n",
       "13         1         1                       Barber, Miss. Ellen \"Nellie\"   \n",
       "14         1         1               Barkworth, Mr. Algernon Henry Wilson   \n",
       "15         1         0                                Baumann, Mr. John D   \n",
       "16         1         0                           Baxter, Mr. Quigg Edmond   \n",
       "17         1         1    Baxter, Mrs. James (Helene DeLaudeniere Chaput)   \n",
       "18         1         1                              Bazzani, Miss. Albina   \n",
       "19         1         0                               Beattie, Mr. Thomson   \n",
       "20         1         1                      Beckwith, Mr. Richard Leonard   \n",
       "21         1         1   Beckwith, Mrs. Richard Leonard (Sallie Monypeny)   \n",
       "22         1         1                              Behr, Mr. Karl Howell   \n",
       "23         1         1                              Bidois, Miss. Rosalie   \n",
       "24         1         1                                  Bird, Miss. Ellen   \n",
       "25         1         0                                Birnbaum, Mr. Jakob   \n",
       "26         1         1                            Bishop, Mr. Dickinson H   \n",
       "27         1         1            Bishop, Mrs. Dickinson H (Helen Walton)   \n",
       "28         1         1                             Bissette, Miss. Amelia   \n",
       "29         1         1          Bjornstrom-Steffansson, Mr. Mauritz Hakan   \n",
       "...      ...       ...                                                ...   \n",
       "1280       3         0                                    Vovk, Mr. Janko   \n",
       "1281       3         0                               Waelens, Mr. Achille   \n",
       "1282       3         0                                Ware, Mr. Frederick   \n",
       "1283       3         0                        Warren, Mr. Charles William   \n",
       "1284       3         0                                  Webber, Mr. James   \n",
       "1285       3         0                                Wenzel, Mr. Linhart   \n",
       "1286       3         1    Whabee, Mrs. George Joseph (Shawneene Abi-Saab)   \n",
       "1287       3         0                   Widegren, Mr. Carl/Charles Peter   \n",
       "1288       3         0                          Wiklund, Mr. Jakob Alfred   \n",
       "1289       3         0                            Wiklund, Mr. Karl Johan   \n",
       "1290       3         1                   Wilkes, Mrs. James (Ellen Needs)   \n",
       "1291       3         0                   Willer, Mr. Aaron (\"Abi Weller\")   \n",
       "1292       3         0                                 Willey, Mr. Edward   \n",
       "1293       3         0                  Williams, Mr. Howard Hugh \"Harry\"   \n",
       "1294       3         0                               Williams, Mr. Leslie   \n",
       "1295       3         0                                Windelov, Mr. Einar   \n",
       "1296       3         0                                   Wirz, Mr. Albert   \n",
       "1297       3         0                             Wiseman, Mr. Phillippe   \n",
       "1298       3         0                          Wittevrongel, Mr. Camille   \n",
       "1299       3         0                                Yasbeck, Mr. Antoni   \n",
       "1300       3         1            Yasbeck, Mrs. Antoni (Selini Alexander)   \n",
       "1301       3         0                               Youseff, Mr. Gerious   \n",
       "1302       3         0                                  Yousif, Mr. Wazli   \n",
       "1303       3         0                              Yousseff, Mr. Gerious   \n",
       "1304       3         0                               Zabour, Miss. Hileni   \n",
       "1305       3         0                              Zabour, Miss. Thamine   \n",
       "1306       3         0                          Zakarian, Mr. Mapriededer   \n",
       "1307       3         0                                Zakarian, Mr. Ortin   \n",
       "1308       3         0                                 Zimmerman, Mr. Leo   \n",
       "1309     NaN       NaN                                                NaN   \n",
       "\n",
       "         sex      age  sibsp  parch            ticket      fare    cabin  \\\n",
       "ID                                                                         \n",
       "0     female  29.0000      0      0             24160  211.3375       B5   \n",
       "1       male   0.9167      1      2            113781  151.5500  C22 C26   \n",
       "2     female   2.0000      1      2            113781  151.5500  C22 C26   \n",
       "3       male  30.0000      1      2            113781  151.5500  C22 C26   \n",
       "4     female  25.0000      1      2            113781  151.5500  C22 C26   \n",
       "5       male  48.0000      0      0             19952   26.5500      E12   \n",
       "6     female  63.0000      1      0             13502   77.9583       D7   \n",
       "7       male  39.0000      0      0            112050    0.0000      A36   \n",
       "8     female  53.0000      2      0             11769   51.4792     C101   \n",
       "9       male  71.0000      0      0          PC 17609   49.5042      NaN   \n",
       "10      male  47.0000      1      0          PC 17757  227.5250  C62 C64   \n",
       "11    female  18.0000      1      0          PC 17757  227.5250  C62 C64   \n",
       "12    female  24.0000      0      0          PC 17477   69.3000      B35   \n",
       "13    female  26.0000      0      0             19877   78.8500      NaN   \n",
       "14      male  80.0000      0      0             27042   30.0000      A23   \n",
       "15      male      NaN      0      0          PC 17318   25.9250      NaN   \n",
       "16      male  24.0000      0      1          PC 17558  247.5208  B58 B60   \n",
       "17    female  50.0000      0      1          PC 17558  247.5208  B58 B60   \n",
       "18    female  32.0000      0      0             11813   76.2917      D15   \n",
       "19      male  36.0000      0      0             13050   75.2417       C6   \n",
       "20      male  37.0000      1      1             11751   52.5542      D35   \n",
       "21    female  47.0000      1      1             11751   52.5542      D35   \n",
       "22      male  26.0000      0      0            111369   30.0000     C148   \n",
       "23    female  42.0000      0      0          PC 17757  227.5250      NaN   \n",
       "24    female  29.0000      0      0          PC 17483  221.7792      C97   \n",
       "25      male  25.0000      0      0             13905   26.0000      NaN   \n",
       "26      male  25.0000      1      0             11967   91.0792      B49   \n",
       "27    female  19.0000      1      0             11967   91.0792      B49   \n",
       "28    female  35.0000      0      0          PC 17760  135.6333      C99   \n",
       "29      male  28.0000      0      0            110564   26.5500      C52   \n",
       "...      ...      ...    ...    ...               ...       ...      ...   \n",
       "1280    male  22.0000      0      0            349252    7.8958      NaN   \n",
       "1281    male  22.0000      0      0            345767    9.0000      NaN   \n",
       "1282    male      NaN      0      0            359309    8.0500      NaN   \n",
       "1283    male      NaN      0      0        C.A. 49867    7.5500      NaN   \n",
       "1284    male      NaN      0      0  SOTON/OQ 3101316    8.0500      NaN   \n",
       "1285    male  32.5000      0      0            345775    9.5000      NaN   \n",
       "1286  female  38.0000      0      0              2688    7.2292      NaN   \n",
       "1287    male  51.0000      0      0            347064    7.7500      NaN   \n",
       "1288    male  18.0000      1      0           3101267    6.4958      NaN   \n",
       "1289    male  21.0000      1      0           3101266    6.4958      NaN   \n",
       "1290  female  47.0000      1      0            363272    7.0000      NaN   \n",
       "1291    male      NaN      0      0              3410    8.7125      NaN   \n",
       "1292    male      NaN      0      0     S.O./P.P. 751    7.5500      NaN   \n",
       "1293    male      NaN      0      0          A/5 2466    8.0500      NaN   \n",
       "1294    male  28.5000      0      0             54636   16.1000      NaN   \n",
       "1295    male  21.0000      0      0  SOTON/OQ 3101317    7.2500      NaN   \n",
       "1296    male  27.0000      0      0            315154    8.6625      NaN   \n",
       "1297    male      NaN      0      0        A/4. 34244    7.2500      NaN   \n",
       "1298    male  36.0000      0      0            345771    9.5000      NaN   \n",
       "1299    male  27.0000      1      0              2659   14.4542      NaN   \n",
       "1300  female  15.0000      1      0              2659   14.4542      NaN   \n",
       "1301    male  45.5000      0      0              2628    7.2250      NaN   \n",
       "1302    male      NaN      0      0              2647    7.2250      NaN   \n",
       "1303    male      NaN      0      0              2627   14.4583      NaN   \n",
       "1304  female  14.5000      1      0              2665   14.4542      NaN   \n",
       "1305  female      NaN      1      0              2665   14.4542      NaN   \n",
       "1306    male  26.5000      0      0              2656    7.2250      NaN   \n",
       "1307    male  27.0000      0      0              2670    7.2250      NaN   \n",
       "1308    male  29.0000      0      0            315082    7.8750      NaN   \n",
       "1309     NaN      NaN    NaN    NaN               NaN       NaN      NaN   \n",
       "\n",
       "     embarked boat  body                           home.dest  \n",
       "ID                                                            \n",
       "0           S    2   NaN                        St Louis, MO  \n",
       "1           S   11   NaN     Montreal, PQ / Chesterville, ON  \n",
       "2           S  NaN   NaN     Montreal, PQ / Chesterville, ON  \n",
       "3           S  NaN   135     Montreal, PQ / Chesterville, ON  \n",
       "4           S  NaN   NaN     Montreal, PQ / Chesterville, ON  \n",
       "5           S    3   NaN                        New York, NY  \n",
       "6           S   10   NaN                          Hudson, NY  \n",
       "7           S  NaN   NaN                         Belfast, NI  \n",
       "8           S    D   NaN                 Bayside, Queens, NY  \n",
       "9           C  NaN    22                 Montevideo, Uruguay  \n",
       "10          C  NaN   124                        New York, NY  \n",
       "11          C    4   NaN                        New York, NY  \n",
       "12          C    9   NaN                       Paris, France  \n",
       "13          S    6   NaN                                 NaN  \n",
       "14          S    B   NaN                       Hessle, Yorks  \n",
       "15          S  NaN   NaN                        New York, NY  \n",
       "16          C  NaN   NaN                        Montreal, PQ  \n",
       "17          C    6   NaN                        Montreal, PQ  \n",
       "18          C    8   NaN                                 NaN  \n",
       "19          C    A   NaN                        Winnipeg, MN  \n",
       "20          S    5   NaN                        New York, NY  \n",
       "21          S    5   NaN                        New York, NY  \n",
       "22          C    5   NaN                        New York, NY  \n",
       "23          C    4   NaN                                 NaN  \n",
       "24          S    8   NaN                                 NaN  \n",
       "25          C  NaN   148                   San Francisco, CA  \n",
       "26          C    7   NaN                        Dowagiac, MI  \n",
       "27          C    7   NaN                        Dowagiac, MI  \n",
       "28          S    8   NaN                                 NaN  \n",
       "29          S    D   NaN  Stockholm, Sweden / Washington, DC  \n",
       "...       ...  ...   ...                                 ...  \n",
       "1280        S  NaN   NaN                                 NaN  \n",
       "1281        S  NaN   NaN      Antwerp, Belgium / Stanton, OH  \n",
       "1282        S  NaN   NaN                                 NaN  \n",
       "1283        S  NaN   NaN                                 NaN  \n",
       "1284        S  NaN   NaN                                 NaN  \n",
       "1285        S  NaN   298                                 NaN  \n",
       "1286        C    C   NaN                                 NaN  \n",
       "1287        S  NaN   NaN                                 NaN  \n",
       "1288        S  NaN   314                                 NaN  \n",
       "1289        S  NaN   NaN                                 NaN  \n",
       "1290        S  NaN   NaN                                 NaN  \n",
       "1291        S  NaN   NaN                                 NaN  \n",
       "1292        S  NaN   NaN                                 NaN  \n",
       "1293        S  NaN   NaN                                 NaN  \n",
       "1294        S  NaN    14                                 NaN  \n",
       "1295        S  NaN   NaN                                 NaN  \n",
       "1296        S  NaN   131                                 NaN  \n",
       "1297        S  NaN   NaN                                 NaN  \n",
       "1298        S  NaN   NaN                                 NaN  \n",
       "1299        C    C   NaN                                 NaN  \n",
       "1300        C  NaN   NaN                                 NaN  \n",
       "1301        C  NaN   312                                 NaN  \n",
       "1302        C  NaN   NaN                                 NaN  \n",
       "1303        C  NaN   NaN                                 NaN  \n",
       "1304        C  NaN   328                                 NaN  \n",
       "1305        C  NaN   NaN                                 NaN  \n",
       "1306        C  NaN   304                                 NaN  \n",
       "1307        C  NaN   NaN                                 NaN  \n",
       "1308        S  NaN   NaN                                 NaN  \n",
       "1309      NaN  NaN   NaN                                 NaN  \n",
       "\n",
       "[1310 rows x 14 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "del df_titanic['fare_range']\n",
    "df_titanic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 1.          4.          1.        ]\n",
      " [ 5.66666667  3.          5.        ]\n",
      " [ 8.          9.          3.        ]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import Imputer\n",
    "s = [[1,np.NaN,1],\n",
    "                [np.NaN,3,5],\n",
    "                [8,9,None]]\n",
    "imp2 = Imputer(missing_values='NaN',strategy='mean',axis=0,verbose=0,copy=True)\n",
    "imp2.fit([[1,0,1],\n",
    "         [8,3,5],\n",
    "         [8,9,3]])\n",
    "print(imp2.transform(s))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   A    B\n",
       "0  1  4.0\n",
       "1  3  5.0\n",
       "2  5  4.5"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = pd.DataFrame({'A':[1,np.NaN,5], 'B':[4,5,np.NaN]})\n",
    "df2.fillna(df2.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    A   B\n",
       "0   1   4\n",
       "1 NaN   5\n",
       "2   5 NaN\n",
       "3 NaN   5\n",
       "4 NaN   2\n",
       "5 NaN   1"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3 = pd.DataFrame({'A':[1,np.NaN,5,np.NaN,np.NaN,np.NaN], 'B':[4,5,np.NaN,5,2,1]})\n",
    "df3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   A  B\n",
       "0  1  4"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    B\n",
       "0   4\n",
       "1   5\n",
       "2 NaN\n",
       "3   5\n",
       "4   2\n",
       "5   1"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.dropna(axis=1, thresh=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Functions and Methods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "boat\n",
       "1          1.00\n",
       "10         1.00\n",
       "11         1.00\n",
       "12         0.95\n",
       "13         1.00\n",
       "13 15      1.00\n",
       "13 15 B    1.00\n",
       "14         0.97\n",
       "15         1.00\n",
       "15 16      1.00\n",
       "16         1.00\n",
       "2          1.00\n",
       "3          1.00\n",
       "4          1.00\n",
       "5          1.00\n",
       "5 7        1.00\n",
       "5 9        1.00\n",
       "6          1.00\n",
       "7          1.00\n",
       "8          1.00\n",
       "8 10       1.00\n",
       "9          1.00\n",
       "A          0.64\n",
       "B          0.89\n",
       "C          0.97\n",
       "C D        1.00\n",
       "D          0.95\n",
       "Name: survived, dtype: float64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g4=df_titanic.groupby('boat')['survived']\n",
    "(g4.sum()/g4.count()).round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID\n",
       "0    29\n",
       "1     1\n",
       "2     2\n",
       "3    30\n",
       "4    25\n",
       "Name: age, dtype: float64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_titanic.age.apply(lambda x: x.round(0)).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID\n",
       "0    29\n",
       "1     1\n",
       "2     2\n",
       "3    30\n",
       "4    25\n",
       "Name: age, dtype: float64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_titanic.age.round(0).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pclass</th>\n",
       "      <th>survived</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "      <th>cabin_factorized</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24160</td>\n",
       "      <td>211.3375</td>\n",
       "      <td>B5</td>\n",
       "      <td>S</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Louis, MO</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allison, Master. Hudson Trevor</td>\n",
       "      <td>male</td>\n",
       "      <td>0.9167</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Miss. Helen Loraine</td>\n",
       "      <td>female</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mr. Hudson Joshua Creighton</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>\n",
       "      <td>female</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Anderson, Mr. Harry</td>\n",
       "      <td>male</td>\n",
       "      <td>48.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19952</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>E12</td>\n",
       "      <td>S</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Andrews, Miss. Kornelia Theodosia</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13502</td>\n",
       "      <td>77.9583</td>\n",
       "      <td>D7</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hudson, NY</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Andrews, Mr. Thomas Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>39.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112050</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>A36</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Belfast, NI</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Appleton, Mrs. Edward Dale (Charlotte Lamson)</td>\n",
       "      <td>female</td>\n",
       "      <td>53.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>11769</td>\n",
       "      <td>51.4792</td>\n",
       "      <td>C101</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bayside, Queens, NY</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Artagaveytia, Mr. Ramon</td>\n",
       "      <td>male</td>\n",
       "      <td>71.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17609</td>\n",
       "      <td>49.5042</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22</td>\n",
       "      <td>Montevideo, Uruguay</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Astor, Col. John Jacob</td>\n",
       "      <td>male</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Astor, Mrs. John Jacob (Madeleine Talmadge Force)</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Aubart, Mme. Leontine Pauline</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17477</td>\n",
       "      <td>69.3000</td>\n",
       "      <td>B35</td>\n",
       "      <td>C</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paris, France</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barber, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19877</td>\n",
       "      <td>78.8500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barkworth, Mr. Algernon Henry Wilson</td>\n",
       "      <td>male</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27042</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>A23</td>\n",
       "      <td>S</td>\n",
       "      <td>B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hessle, Yorks</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Baumann, Mr. John D</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17318</td>\n",
       "      <td>25.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Baxter, Mr. Quigg Edmond</td>\n",
       "      <td>male</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Baxter, Mrs. James (Helene DeLaudeniere Chaput)</td>\n",
       "      <td>female</td>\n",
       "      <td>50.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bazzani, Miss. Albina</td>\n",
       "      <td>female</td>\n",
       "      <td>32.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11813</td>\n",
       "      <td>76.2917</td>\n",
       "      <td>D15</td>\n",
       "      <td>C</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Beattie, Mr. Thomson</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13050</td>\n",
       "      <td>75.2417</td>\n",
       "      <td>C6</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Winnipeg, MN</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mr. Richard Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0000</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",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bidois, Miss. Rosalie</td>\n",
       "      <td>female</td>\n",
       "      <td>42.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bird, Miss. Ellen</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17483</td>\n",
       "      <td>221.7792</td>\n",
       "      <td>C97</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Birnbaum, Mr. Jakob</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13905</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mr. Dickinson H</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mrs. Dickinson H (Helen Walton)</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bissette, Miss. Amelia</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17760</td>\n",
       "      <td>135.6333</td>\n",
       "      <td>C99</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bjornstrom-Steffansson, Mr. Mauritz Hakan</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110564</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C52</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm, Sweden / Washington, DC</td>\n",
       "      <td>17</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vovk, Mr. Janko</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349252</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Waelens, Mr. Achille</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345767</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antwerp, Belgium / Stanton, OH</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1282</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Ware, Mr. Frederick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>359309</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1283</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Warren, Mr. Charles William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C.A. 49867</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1284</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Webber, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101316</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1285</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wenzel, Mr. Linhart</td>\n",
       "      <td>male</td>\n",
       "      <td>32.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345775</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>298</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Whabee, Mrs. George Joseph (Shawneene Abi-Saab)</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2688</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Widegren, Mr. Carl/Charles Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>51.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>347064</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Jakob Alfred</td>\n",
       "      <td>male</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101267</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>314</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Karl Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101266</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>363272</td>\n",
       "      <td>7.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1291</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Willer, Mr. Aaron (\"Abi Weller\")</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3410</td>\n",
       "      <td>8.7125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Willey, Mr. Edward</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>S.O./P.P. 751</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Williams, Mr. Howard Hugh \"Harry\"</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 2466</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Williams, Mr. Leslie</td>\n",
       "      <td>male</td>\n",
       "      <td>28.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>54636</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Windelov, Mr. Einar</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101317</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wirz, Mr. Albert</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315154</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiseman, Mr. Phillippe</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/4. 34244</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1298</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wittevrongel, Mr. Camille</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345771</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yasbeck, Mr. Antoni</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Yasbeck, Mrs. Antoni (Selini Alexander)</td>\n",
       "      <td>female</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Youseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>45.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2628</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>312</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1302</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yousif, Mr. Wazli</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2647</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1303</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yousseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2627</td>\n",
       "      <td>14.4583</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zabour, Miss. Hileni</td>\n",
       "      <td>female</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2665</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>328</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zabour, Miss. Thamine</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2665</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Mapriededer</td>\n",
       "      <td>male</td>\n",
       "      <td>26.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2656</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>304</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Ortin</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2670</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zimmerman, Mr. Leo</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315082</td>\n",
       "      <td>7.8750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1310 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass  survived                                               name  \\\n",
       "ID                                                                          \n",
       "0          1         1                      Allen, Miss. Elisabeth Walton   \n",
       "1          1         1                     Allison, Master. Hudson Trevor   \n",
       "2          1         0                       Allison, Miss. Helen Loraine   \n",
       "3          1         0               Allison, Mr. Hudson Joshua Creighton   \n",
       "4          1         0    Allison, Mrs. Hudson J C (Bessie Waldo Daniels)   \n",
       "5          1         1                                Anderson, Mr. Harry   \n",
       "6          1         1                  Andrews, Miss. Kornelia Theodosia   \n",
       "7          1         0                             Andrews, Mr. Thomas Jr   \n",
       "8          1         1      Appleton, Mrs. Edward Dale (Charlotte Lamson)   \n",
       "9          1         0                            Artagaveytia, Mr. Ramon   \n",
       "10         1         0                             Astor, Col. John Jacob   \n",
       "11         1         1  Astor, Mrs. John Jacob (Madeleine Talmadge Force)   \n",
       "12         1         1                      Aubart, Mme. Leontine Pauline   \n",
       "13         1         1                       Barber, Miss. Ellen \"Nellie\"   \n",
       "14         1         1               Barkworth, Mr. Algernon Henry Wilson   \n",
       "15         1         0                                Baumann, Mr. John D   \n",
       "16         1         0                           Baxter, Mr. Quigg Edmond   \n",
       "17         1         1    Baxter, Mrs. James (Helene DeLaudeniere Chaput)   \n",
       "18         1         1                              Bazzani, Miss. Albina   \n",
       "19         1         0                               Beattie, Mr. Thomson   \n",
       "20         1         1                      Beckwith, Mr. Richard Leonard   \n",
       "21         1         1   Beckwith, Mrs. Richard Leonard (Sallie Monypeny)   \n",
       "22         1         1                              Behr, Mr. Karl Howell   \n",
       "23         1         1                              Bidois, Miss. Rosalie   \n",
       "24         1         1                                  Bird, Miss. Ellen   \n",
       "25         1         0                                Birnbaum, Mr. Jakob   \n",
       "26         1         1                            Bishop, Mr. Dickinson H   \n",
       "27         1         1            Bishop, Mrs. Dickinson H (Helen Walton)   \n",
       "28         1         1                             Bissette, Miss. Amelia   \n",
       "29         1         1          Bjornstrom-Steffansson, Mr. Mauritz Hakan   \n",
       "...      ...       ...                                                ...   \n",
       "1280       3         0                                    Vovk, Mr. Janko   \n",
       "1281       3         0                               Waelens, Mr. Achille   \n",
       "1282       3         0                                Ware, Mr. Frederick   \n",
       "1283       3         0                        Warren, Mr. Charles William   \n",
       "1284       3         0                                  Webber, Mr. James   \n",
       "1285       3         0                                Wenzel, Mr. Linhart   \n",
       "1286       3         1    Whabee, Mrs. George Joseph (Shawneene Abi-Saab)   \n",
       "1287       3         0                   Widegren, Mr. Carl/Charles Peter   \n",
       "1288       3         0                          Wiklund, Mr. Jakob Alfred   \n",
       "1289       3         0                            Wiklund, Mr. Karl Johan   \n",
       "1290       3         1                   Wilkes, Mrs. James (Ellen Needs)   \n",
       "1291       3         0                   Willer, Mr. Aaron (\"Abi Weller\")   \n",
       "1292       3         0                                 Willey, Mr. Edward   \n",
       "1293       3         0                  Williams, Mr. Howard Hugh \"Harry\"   \n",
       "1294       3         0                               Williams, Mr. Leslie   \n",
       "1295       3         0                                Windelov, Mr. Einar   \n",
       "1296       3         0                                   Wirz, Mr. Albert   \n",
       "1297       3         0                             Wiseman, Mr. Phillippe   \n",
       "1298       3         0                          Wittevrongel, Mr. Camille   \n",
       "1299       3         0                                Yasbeck, Mr. Antoni   \n",
       "1300       3         1            Yasbeck, Mrs. Antoni (Selini Alexander)   \n",
       "1301       3         0                               Youseff, Mr. Gerious   \n",
       "1302       3         0                                  Yousif, Mr. Wazli   \n",
       "1303       3         0                              Yousseff, Mr. Gerious   \n",
       "1304       3         0                               Zabour, Miss. Hileni   \n",
       "1305       3         0                              Zabour, Miss. Thamine   \n",
       "1306       3         0                          Zakarian, Mr. Mapriededer   \n",
       "1307       3         0                                Zakarian, Mr. Ortin   \n",
       "1308       3         0                                 Zimmerman, Mr. Leo   \n",
       "1309     NaN       NaN                                                NaN   \n",
       "\n",
       "         sex      age  sibsp  parch            ticket      fare    cabin  \\\n",
       "ID                                                                         \n",
       "0     female  29.0000      0      0             24160  211.3375       B5   \n",
       "1       male   0.9167      1      2            113781  151.5500  C22 C26   \n",
       "2     female   2.0000      1      2            113781  151.5500  C22 C26   \n",
       "3       male  30.0000      1      2            113781  151.5500  C22 C26   \n",
       "4     female  25.0000      1      2            113781  151.5500  C22 C26   \n",
       "5       male  48.0000      0      0             19952   26.5500      E12   \n",
       "6     female  63.0000      1      0             13502   77.9583       D7   \n",
       "7       male  39.0000      0      0            112050    0.0000      A36   \n",
       "8     female  53.0000      2      0             11769   51.4792     C101   \n",
       "9       male  71.0000      0      0          PC 17609   49.5042      NaN   \n",
       "10      male  47.0000      1      0          PC 17757  227.5250  C62 C64   \n",
       "11    female  18.0000      1      0          PC 17757  227.5250  C62 C64   \n",
       "12    female  24.0000      0      0          PC 17477   69.3000      B35   \n",
       "13    female  26.0000      0      0             19877   78.8500      NaN   \n",
       "14      male  80.0000      0      0             27042   30.0000      A23   \n",
       "15      male      NaN      0      0          PC 17318   25.9250      NaN   \n",
       "16      male  24.0000      0      1          PC 17558  247.5208  B58 B60   \n",
       "17    female  50.0000      0      1          PC 17558  247.5208  B58 B60   \n",
       "18    female  32.0000      0      0             11813   76.2917      D15   \n",
       "19      male  36.0000      0      0             13050   75.2417       C6   \n",
       "20      male  37.0000      1      1             11751   52.5542      D35   \n",
       "21    female  47.0000      1      1             11751   52.5542      D35   \n",
       "22      male  26.0000      0      0            111369   30.0000     C148   \n",
       "23    female  42.0000      0      0          PC 17757  227.5250      NaN   \n",
       "24    female  29.0000      0      0          PC 17483  221.7792      C97   \n",
       "25      male  25.0000      0      0             13905   26.0000      NaN   \n",
       "26      male  25.0000      1      0             11967   91.0792      B49   \n",
       "27    female  19.0000      1      0             11967   91.0792      B49   \n",
       "28    female  35.0000      0      0          PC 17760  135.6333      C99   \n",
       "29      male  28.0000      0      0            110564   26.5500      C52   \n",
       "...      ...      ...    ...    ...               ...       ...      ...   \n",
       "1280    male  22.0000      0      0            349252    7.8958      NaN   \n",
       "1281    male  22.0000      0      0            345767    9.0000      NaN   \n",
       "1282    male      NaN      0      0            359309    8.0500      NaN   \n",
       "1283    male      NaN      0      0        C.A. 49867    7.5500      NaN   \n",
       "1284    male      NaN      0      0  SOTON/OQ 3101316    8.0500      NaN   \n",
       "1285    male  32.5000      0      0            345775    9.5000      NaN   \n",
       "1286  female  38.0000      0      0              2688    7.2292      NaN   \n",
       "1287    male  51.0000      0      0            347064    7.7500      NaN   \n",
       "1288    male  18.0000      1      0           3101267    6.4958      NaN   \n",
       "1289    male  21.0000      1      0           3101266    6.4958      NaN   \n",
       "1290  female  47.0000      1      0            363272    7.0000      NaN   \n",
       "1291    male      NaN      0      0              3410    8.7125      NaN   \n",
       "1292    male      NaN      0      0     S.O./P.P. 751    7.5500      NaN   \n",
       "1293    male      NaN      0      0          A/5 2466    8.0500      NaN   \n",
       "1294    male  28.5000      0      0             54636   16.1000      NaN   \n",
       "1295    male  21.0000      0      0  SOTON/OQ 3101317    7.2500      NaN   \n",
       "1296    male  27.0000      0      0            315154    8.6625      NaN   \n",
       "1297    male      NaN      0      0        A/4. 34244    7.2500      NaN   \n",
       "1298    male  36.0000      0      0            345771    9.5000      NaN   \n",
       "1299    male  27.0000      1      0              2659   14.4542      NaN   \n",
       "1300  female  15.0000      1      0              2659   14.4542      NaN   \n",
       "1301    male  45.5000      0      0              2628    7.2250      NaN   \n",
       "1302    male      NaN      0      0              2647    7.2250      NaN   \n",
       "1303    male      NaN      0      0              2627   14.4583      NaN   \n",
       "1304  female  14.5000      1      0              2665   14.4542      NaN   \n",
       "1305  female      NaN      1      0              2665   14.4542      NaN   \n",
       "1306    male  26.5000      0      0              2656    7.2250      NaN   \n",
       "1307    male  27.0000      0      0              2670    7.2250      NaN   \n",
       "1308    male  29.0000      0      0            315082    7.8750      NaN   \n",
       "1309     NaN      NaN    NaN    NaN               NaN       NaN      NaN   \n",
       "\n",
       "     embarked boat  body                           home.dest  cabin_factorized  \n",
       "ID                                                                              \n",
       "0           S    2   NaN                        St Louis, MO                 0  \n",
       "1           S   11   NaN     Montreal, PQ / Chesterville, ON                 1  \n",
       "2           S  NaN   NaN     Montreal, PQ / Chesterville, ON                 1  \n",
       "3           S  NaN   135     Montreal, PQ / Chesterville, ON                 1  \n",
       "4           S  NaN   NaN     Montreal, PQ / Chesterville, ON                 1  \n",
       "5           S    3   NaN                        New York, NY                 2  \n",
       "6           S   10   NaN                          Hudson, NY                 3  \n",
       "7           S  NaN   NaN                         Belfast, NI                 4  \n",
       "8           S    D   NaN                 Bayside, Queens, NY                 5  \n",
       "9           C  NaN    22                 Montevideo, Uruguay                -1  \n",
       "10          C  NaN   124                        New York, NY                 6  \n",
       "11          C    4   NaN                        New York, NY                 6  \n",
       "12          C    9   NaN                       Paris, France                 7  \n",
       "13          S    6   NaN                                 NaN                -1  \n",
       "14          S    B   NaN                       Hessle, Yorks                 8  \n",
       "15          S  NaN   NaN                        New York, NY                -1  \n",
       "16          C  NaN   NaN                        Montreal, PQ                 9  \n",
       "17          C    6   NaN                        Montreal, PQ                 9  \n",
       "18          C    8   NaN                                 NaN                10  \n",
       "19          C    A   NaN                        Winnipeg, MN                11  \n",
       "20          S    5   NaN                        New York, NY                12  \n",
       "21          S    5   NaN                        New York, NY                12  \n",
       "22          C    5   NaN                        New York, NY                13  \n",
       "23          C    4   NaN                                 NaN                -1  \n",
       "24          S    8   NaN                                 NaN                14  \n",
       "25          C  NaN   148                   San Francisco, CA                -1  \n",
       "26          C    7   NaN                        Dowagiac, MI                15  \n",
       "27          C    7   NaN                        Dowagiac, MI                15  \n",
       "28          S    8   NaN                                 NaN                16  \n",
       "29          S    D   NaN  Stockholm, Sweden / Washington, DC                17  \n",
       "...       ...  ...   ...                                 ...               ...  \n",
       "1280        S  NaN   NaN                                 NaN                -1  \n",
       "1281        S  NaN   NaN      Antwerp, Belgium / Stanton, OH                -1  \n",
       "1282        S  NaN   NaN                                 NaN                -1  \n",
       "1283        S  NaN   NaN                                 NaN                -1  \n",
       "1284        S  NaN   NaN                                 NaN                -1  \n",
       "1285        S  NaN   298                                 NaN                -1  \n",
       "1286        C    C   NaN                                 NaN                -1  \n",
       "1287        S  NaN   NaN                                 NaN                -1  \n",
       "1288        S  NaN   314                                 NaN                -1  \n",
       "1289        S  NaN   NaN                                 NaN                -1  \n",
       "1290        S  NaN   NaN                                 NaN                -1  \n",
       "1291        S  NaN   NaN                                 NaN                -1  \n",
       "1292        S  NaN   NaN                                 NaN                -1  \n",
       "1293        S  NaN   NaN                                 NaN                -1  \n",
       "1294        S  NaN    14                                 NaN                -1  \n",
       "1295        S  NaN   NaN                                 NaN                -1  \n",
       "1296        S  NaN   131                                 NaN                -1  \n",
       "1297        S  NaN   NaN                                 NaN                -1  \n",
       "1298        S  NaN   NaN                                 NaN                -1  \n",
       "1299        C    C   NaN                                 NaN                -1  \n",
       "1300        C  NaN   NaN                                 NaN                -1  \n",
       "1301        C  NaN   312                                 NaN                -1  \n",
       "1302        C  NaN   NaN                                 NaN                -1  \n",
       "1303        C  NaN   NaN                                 NaN                -1  \n",
       "1304        C  NaN   328                                 NaN                -1  \n",
       "1305        C  NaN   NaN                                 NaN                -1  \n",
       "1306        C  NaN   304                                 NaN                -1  \n",
       "1307        C  NaN   NaN                                 NaN                -1  \n",
       "1308        S  NaN   NaN                                 NaN                -1  \n",
       "1309      NaN  NaN   NaN                                 NaN                -1  \n",
       "\n",
       "[1310 rows x 15 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_titanic['cabin_factorized']=pd.factorize(df_titanic.cabin)[0]\n",
    "df_titanic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "df_titanic.dropna(subset =['age'],inplace=True)\n",
    "scaler = StandardScaler()\n",
    "df_titanic['Age_Scaled']=scaler.fit_transform(df_titanic['age'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.16.2'"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pclass</th>\n",
       "      <th>survived</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "      <th>cabin_factorized</th>\n",
       "      <th>Age_Scaled</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24160</td>\n",
       "      <td>211.3375</td>\n",
       "      <td>B5</td>\n",
       "      <td>S</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Louis, MO</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.061162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Allison, Master. Hudson Trevor</td>\n",
       "      <td>male</td>\n",
       "      <td>0.9167</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>1</td>\n",
       "      <td>-2.010496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Miss. Helen Loraine</td>\n",
       "      <td>female</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>1</td>\n",
       "      <td>-1.935302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mr. Hudson Joshua Creighton</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>1</td>\n",
       "      <td>0.008251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>\n",
       "      <td>female</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.338812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Anderson, Mr. Harry</td>\n",
       "      <td>male</td>\n",
       "      <td>48.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19952</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>E12</td>\n",
       "      <td>S</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>2</td>\n",
       "      <td>1.257677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Andrews, Miss. Kornelia Theodosia</td>\n",
       "      <td>female</td>\n",
       "      <td>63.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>13502</td>\n",
       "      <td>77.9583</td>\n",
       "      <td>D7</td>\n",
       "      <td>S</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hudson, NY</td>\n",
       "      <td>3</td>\n",
       "      <td>2.298866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Andrews, Mr. Thomas Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>39.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112050</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>A36</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Belfast, NI</td>\n",
       "      <td>4</td>\n",
       "      <td>0.632964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Appleton, Mrs. Edward Dale (Charlotte Lamson)</td>\n",
       "      <td>female</td>\n",
       "      <td>53.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>11769</td>\n",
       "      <td>51.4792</td>\n",
       "      <td>C101</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bayside, Queens, NY</td>\n",
       "      <td>5</td>\n",
       "      <td>1.604740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Artagaveytia, Mr. Ramon</td>\n",
       "      <td>male</td>\n",
       "      <td>71.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17609</td>\n",
       "      <td>49.5042</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22</td>\n",
       "      <td>Montevideo, Uruguay</td>\n",
       "      <td>-1</td>\n",
       "      <td>2.854167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Astor, Col. John Jacob</td>\n",
       "      <td>male</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>6</td>\n",
       "      <td>1.188265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Astor, Mrs. John Jacob (Madeleine Talmadge Force)</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>C62 C64</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>6</td>\n",
       "      <td>-0.824700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Aubart, Mme. Leontine Pauline</td>\n",
       "      <td>female</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17477</td>\n",
       "      <td>69.3000</td>\n",
       "      <td>B35</td>\n",
       "      <td>C</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paris, France</td>\n",
       "      <td>7</td>\n",
       "      <td>-0.408225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barber, Miss. Ellen \"Nellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19877</td>\n",
       "      <td>78.8500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.269400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Barkworth, Mr. Algernon Henry Wilson</td>\n",
       "      <td>male</td>\n",
       "      <td>80.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27042</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>A23</td>\n",
       "      <td>S</td>\n",
       "      <td>B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hessle, Yorks</td>\n",
       "      <td>8</td>\n",
       "      <td>3.478880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Baxter, Mr. Quigg Edmond</td>\n",
       "      <td>male</td>\n",
       "      <td>24.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "      <td>9</td>\n",
       "      <td>-0.408225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Baxter, Mrs. James (Helene DeLaudeniere Chaput)</td>\n",
       "      <td>female</td>\n",
       "      <td>50.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>PC 17558</td>\n",
       "      <td>247.5208</td>\n",
       "      <td>B58 B60</td>\n",
       "      <td>C</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ</td>\n",
       "      <td>9</td>\n",
       "      <td>1.396503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bazzani, Miss. Albina</td>\n",
       "      <td>female</td>\n",
       "      <td>32.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11813</td>\n",
       "      <td>76.2917</td>\n",
       "      <td>D15</td>\n",
       "      <td>C</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>0.147076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Beattie, Mr. Thomson</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13050</td>\n",
       "      <td>75.2417</td>\n",
       "      <td>C6</td>\n",
       "      <td>C</td>\n",
       "      <td>A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Winnipeg, MN</td>\n",
       "      <td>11</td>\n",
       "      <td>0.424726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mr. Richard Leonard</td>\n",
       "      <td>male</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>12</td>\n",
       "      <td>0.494139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Beckwith, Mrs. Richard Leonard (Sallie Monypeny)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11751</td>\n",
       "      <td>52.5542</td>\n",
       "      <td>D35</td>\n",
       "      <td>S</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>12</td>\n",
       "      <td>1.188265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Behr, Mr. Karl Howell</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0000</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",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>13</td>\n",
       "      <td>-0.269400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bidois, Miss. Rosalie</td>\n",
       "      <td>female</td>\n",
       "      <td>42.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.841202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bird, Miss. Ellen</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17483</td>\n",
       "      <td>221.7792</td>\n",
       "      <td>C97</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>-0.061162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Birnbaum, Mr. Jakob</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13905</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.338812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mr. Dickinson H</td>\n",
       "      <td>male</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "      <td>15</td>\n",
       "      <td>-0.338812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bishop, Mrs. Dickinson H (Helen Walton)</td>\n",
       "      <td>female</td>\n",
       "      <td>19.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11967</td>\n",
       "      <td>91.0792</td>\n",
       "      <td>B49</td>\n",
       "      <td>C</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dowagiac, MI</td>\n",
       "      <td>15</td>\n",
       "      <td>-0.755288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bissette, Miss. Amelia</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17760</td>\n",
       "      <td>135.6333</td>\n",
       "      <td>C99</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16</td>\n",
       "      <td>0.355314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Bjornstrom-Steffansson, Mr. Mauritz Hakan</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110564</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C52</td>\n",
       "      <td>S</td>\n",
       "      <td>D</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm, Sweden / Washington, DC</td>\n",
       "      <td>17</td>\n",
       "      <td>-0.130574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Blackwell, Mr. Stephen Weart</td>\n",
       "      <td>male</td>\n",
       "      <td>45.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113784</td>\n",
       "      <td>35.5000</td>\n",
       "      <td>T</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Trenton, NJ</td>\n",
       "      <td>18</td>\n",
       "      <td>1.049440</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1269</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vande Velde, Mr. Johannes Joseph</td>\n",
       "      <td>male</td>\n",
       "      <td>33.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345780</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.216489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vande Walle, Mr. Nestor Cyriel</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345770</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.130574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1271</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vanden Steen, Mr. Leo Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>28.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345783</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.130574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1272</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Cruyssen, Mr. Victor</td>\n",
       "      <td>male</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345765</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>1.188265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1273</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Planke, Miss. Augusta Maria</td>\n",
       "      <td>female</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>345764</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.824700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1274</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Planke, Mr. Julius</td>\n",
       "      <td>male</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>345763</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.077663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1275</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Planke, Mr. Leo Edmondus</td>\n",
       "      <td>male</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>345764</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.963526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1276</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vander Planke, Mrs. Julius (Emelia Maria Vande...</td>\n",
       "      <td>female</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>345763</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.077663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1277</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Vartanian, Mr. David</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2658</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>13 15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.547050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1278</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vendel, Mr. Olof Edvin</td>\n",
       "      <td>male</td>\n",
       "      <td>20.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350416</td>\n",
       "      <td>7.8542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.685875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1279</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vestrom, Miss. Hulda Amanda Adolfina</td>\n",
       "      <td>female</td>\n",
       "      <td>14.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350406</td>\n",
       "      <td>7.8542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1.102351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Vovk, Mr. Janko</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349252</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.547050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Waelens, Mr. Achille</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345767</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antwerp, Belgium / Stanton, OH</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.547050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1285</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wenzel, Mr. Linhart</td>\n",
       "      <td>male</td>\n",
       "      <td>32.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345775</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>298</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.181782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Whabee, Mrs. George Joseph (Shawneene Abi-Saab)</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2688</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.563551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Widegren, Mr. Carl/Charles Peter</td>\n",
       "      <td>male</td>\n",
       "      <td>51.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>347064</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>1.465915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Jakob Alfred</td>\n",
       "      <td>male</td>\n",
       "      <td>18.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101267</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>314</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.824700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wiklund, Mr. Karl Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3101266</td>\n",
       "      <td>6.4958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.616463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>363272</td>\n",
       "      <td>7.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>1.188265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1294</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Williams, Mr. Leslie</td>\n",
       "      <td>male</td>\n",
       "      <td>28.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>54636</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.095868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1295</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Windelov, Mr. Einar</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101317</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.616463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wirz, Mr. Albert</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315154</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.199987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1298</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wittevrongel, Mr. Camille</td>\n",
       "      <td>male</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345771</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.424726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Yasbeck, Mr. Antoni</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.199987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Yasbeck, Mrs. Antoni (Selini Alexander)</td>\n",
       "      <td>female</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2659</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1.032938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Youseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>45.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2628</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>312</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>1.084146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zabour, Miss. Hileni</td>\n",
       "      <td>female</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2665</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>328</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1.067644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Mapriededer</td>\n",
       "      <td>male</td>\n",
       "      <td>26.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2656</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>304</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.234693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zakarian, Mr. Ortin</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2670</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.199987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Zimmerman, Mr. Leo</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315082</td>\n",
       "      <td>7.8750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.061162</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1046 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass  survived                                               name  \\\n",
       "ID                                                                          \n",
       "0          1         1                      Allen, Miss. Elisabeth Walton   \n",
       "1          1         1                     Allison, Master. Hudson Trevor   \n",
       "2          1         0                       Allison, Miss. Helen Loraine   \n",
       "3          1         0               Allison, Mr. Hudson Joshua Creighton   \n",
       "4          1         0    Allison, Mrs. Hudson J C (Bessie Waldo Daniels)   \n",
       "5          1         1                                Anderson, Mr. Harry   \n",
       "6          1         1                  Andrews, Miss. Kornelia Theodosia   \n",
       "7          1         0                             Andrews, Mr. Thomas Jr   \n",
       "8          1         1      Appleton, Mrs. Edward Dale (Charlotte Lamson)   \n",
       "9          1         0                            Artagaveytia, Mr. Ramon   \n",
       "10         1         0                             Astor, Col. John Jacob   \n",
       "11         1         1  Astor, Mrs. John Jacob (Madeleine Talmadge Force)   \n",
       "12         1         1                      Aubart, Mme. Leontine Pauline   \n",
       "13         1         1                       Barber, Miss. Ellen \"Nellie\"   \n",
       "14         1         1               Barkworth, Mr. Algernon Henry Wilson   \n",
       "16         1         0                           Baxter, Mr. Quigg Edmond   \n",
       "17         1         1    Baxter, Mrs. James (Helene DeLaudeniere Chaput)   \n",
       "18         1         1                              Bazzani, Miss. Albina   \n",
       "19         1         0                               Beattie, Mr. Thomson   \n",
       "20         1         1                      Beckwith, Mr. Richard Leonard   \n",
       "21         1         1   Beckwith, Mrs. Richard Leonard (Sallie Monypeny)   \n",
       "22         1         1                              Behr, Mr. Karl Howell   \n",
       "23         1         1                              Bidois, Miss. Rosalie   \n",
       "24         1         1                                  Bird, Miss. Ellen   \n",
       "25         1         0                                Birnbaum, Mr. Jakob   \n",
       "26         1         1                            Bishop, Mr. Dickinson H   \n",
       "27         1         1            Bishop, Mrs. Dickinson H (Helen Walton)   \n",
       "28         1         1                             Bissette, Miss. Amelia   \n",
       "29         1         1          Bjornstrom-Steffansson, Mr. Mauritz Hakan   \n",
       "30         1         0                       Blackwell, Mr. Stephen Weart   \n",
       "...      ...       ...                                                ...   \n",
       "1269       3         0                   Vande Velde, Mr. Johannes Joseph   \n",
       "1270       3         0                     Vande Walle, Mr. Nestor Cyriel   \n",
       "1271       3         0                        Vanden Steen, Mr. Leo Peter   \n",
       "1272       3         0                        Vander Cruyssen, Mr. Victor   \n",
       "1273       3         0                 Vander Planke, Miss. Augusta Maria   \n",
       "1274       3         0                          Vander Planke, Mr. Julius   \n",
       "1275       3         0                    Vander Planke, Mr. Leo Edmondus   \n",
       "1276       3         0  Vander Planke, Mrs. Julius (Emelia Maria Vande...   \n",
       "1277       3         1                               Vartanian, Mr. David   \n",
       "1278       3         0                             Vendel, Mr. Olof Edvin   \n",
       "1279       3         0               Vestrom, Miss. Hulda Amanda Adolfina   \n",
       "1280       3         0                                    Vovk, Mr. Janko   \n",
       "1281       3         0                               Waelens, Mr. Achille   \n",
       "1285       3         0                                Wenzel, Mr. Linhart   \n",
       "1286       3         1    Whabee, Mrs. George Joseph (Shawneene Abi-Saab)   \n",
       "1287       3         0                   Widegren, Mr. Carl/Charles Peter   \n",
       "1288       3         0                          Wiklund, Mr. Jakob Alfred   \n",
       "1289       3         0                            Wiklund, Mr. Karl Johan   \n",
       "1290       3         1                   Wilkes, Mrs. James (Ellen Needs)   \n",
       "1294       3         0                               Williams, Mr. Leslie   \n",
       "1295       3         0                                Windelov, Mr. Einar   \n",
       "1296       3         0                                   Wirz, Mr. Albert   \n",
       "1298       3         0                          Wittevrongel, Mr. Camille   \n",
       "1299       3         0                                Yasbeck, Mr. Antoni   \n",
       "1300       3         1            Yasbeck, Mrs. Antoni (Selini Alexander)   \n",
       "1301       3         0                               Youseff, Mr. Gerious   \n",
       "1304       3         0                               Zabour, Miss. Hileni   \n",
       "1306       3         0                          Zakarian, Mr. Mapriededer   \n",
       "1307       3         0                                Zakarian, Mr. Ortin   \n",
       "1308       3         0                                 Zimmerman, Mr. Leo   \n",
       "\n",
       "         sex      age  sibsp  parch            ticket      fare    cabin  \\\n",
       "ID                                                                         \n",
       "0     female  29.0000      0      0             24160  211.3375       B5   \n",
       "1       male   0.9167      1      2            113781  151.5500  C22 C26   \n",
       "2     female   2.0000      1      2            113781  151.5500  C22 C26   \n",
       "3       male  30.0000      1      2            113781  151.5500  C22 C26   \n",
       "4     female  25.0000      1      2            113781  151.5500  C22 C26   \n",
       "5       male  48.0000      0      0             19952   26.5500      E12   \n",
       "6     female  63.0000      1      0             13502   77.9583       D7   \n",
       "7       male  39.0000      0      0            112050    0.0000      A36   \n",
       "8     female  53.0000      2      0             11769   51.4792     C101   \n",
       "9       male  71.0000      0      0          PC 17609   49.5042      NaN   \n",
       "10      male  47.0000      1      0          PC 17757  227.5250  C62 C64   \n",
       "11    female  18.0000      1      0          PC 17757  227.5250  C62 C64   \n",
       "12    female  24.0000      0      0          PC 17477   69.3000      B35   \n",
       "13    female  26.0000      0      0             19877   78.8500      NaN   \n",
       "14      male  80.0000      0      0             27042   30.0000      A23   \n",
       "16      male  24.0000      0      1          PC 17558  247.5208  B58 B60   \n",
       "17    female  50.0000      0      1          PC 17558  247.5208  B58 B60   \n",
       "18    female  32.0000      0      0             11813   76.2917      D15   \n",
       "19      male  36.0000      0      0             13050   75.2417       C6   \n",
       "20      male  37.0000      1      1             11751   52.5542      D35   \n",
       "21    female  47.0000      1      1             11751   52.5542      D35   \n",
       "22      male  26.0000      0      0            111369   30.0000     C148   \n",
       "23    female  42.0000      0      0          PC 17757  227.5250      NaN   \n",
       "24    female  29.0000      0      0          PC 17483  221.7792      C97   \n",
       "25      male  25.0000      0      0             13905   26.0000      NaN   \n",
       "26      male  25.0000      1      0             11967   91.0792      B49   \n",
       "27    female  19.0000      1      0             11967   91.0792      B49   \n",
       "28    female  35.0000      0      0          PC 17760  135.6333      C99   \n",
       "29      male  28.0000      0      0            110564   26.5500      C52   \n",
       "30      male  45.0000      0      0            113784   35.5000        T   \n",
       "...      ...      ...    ...    ...               ...       ...      ...   \n",
       "1269    male  33.0000      0      0            345780    9.5000      NaN   \n",
       "1270    male  28.0000      0      0            345770    9.5000      NaN   \n",
       "1271    male  28.0000      0      0            345783    9.5000      NaN   \n",
       "1272    male  47.0000      0      0            345765    9.0000      NaN   \n",
       "1273  female  18.0000      2      0            345764   18.0000      NaN   \n",
       "1274    male  31.0000      3      0            345763   18.0000      NaN   \n",
       "1275    male  16.0000      2      0            345764   18.0000      NaN   \n",
       "1276  female  31.0000      1      0            345763   18.0000      NaN   \n",
       "1277    male  22.0000      0      0              2658    7.2250      NaN   \n",
       "1278    male  20.0000      0      0            350416    7.8542      NaN   \n",
       "1279  female  14.0000      0      0            350406    7.8542      NaN   \n",
       "1280    male  22.0000      0      0            349252    7.8958      NaN   \n",
       "1281    male  22.0000      0      0            345767    9.0000      NaN   \n",
       "1285    male  32.5000      0      0            345775    9.5000      NaN   \n",
       "1286  female  38.0000      0      0              2688    7.2292      NaN   \n",
       "1287    male  51.0000      0      0            347064    7.7500      NaN   \n",
       "1288    male  18.0000      1      0           3101267    6.4958      NaN   \n",
       "1289    male  21.0000      1      0           3101266    6.4958      NaN   \n",
       "1290  female  47.0000      1      0            363272    7.0000      NaN   \n",
       "1294    male  28.5000      0      0             54636   16.1000      NaN   \n",
       "1295    male  21.0000      0      0  SOTON/OQ 3101317    7.2500      NaN   \n",
       "1296    male  27.0000      0      0            315154    8.6625      NaN   \n",
       "1298    male  36.0000      0      0            345771    9.5000      NaN   \n",
       "1299    male  27.0000      1      0              2659   14.4542      NaN   \n",
       "1300  female  15.0000      1      0              2659   14.4542      NaN   \n",
       "1301    male  45.5000      0      0              2628    7.2250      NaN   \n",
       "1304  female  14.5000      1      0              2665   14.4542      NaN   \n",
       "1306    male  26.5000      0      0              2656    7.2250      NaN   \n",
       "1307    male  27.0000      0      0              2670    7.2250      NaN   \n",
       "1308    male  29.0000      0      0            315082    7.8750      NaN   \n",
       "\n",
       "     embarked   boat  body                           home.dest  \\\n",
       "ID                                                               \n",
       "0           S      2   NaN                        St Louis, MO   \n",
       "1           S     11   NaN     Montreal, PQ / Chesterville, ON   \n",
       "2           S    NaN   NaN     Montreal, PQ / Chesterville, ON   \n",
       "3           S    NaN   135     Montreal, PQ / Chesterville, ON   \n",
       "4           S    NaN   NaN     Montreal, PQ / Chesterville, ON   \n",
       "5           S      3   NaN                        New York, NY   \n",
       "6           S     10   NaN                          Hudson, NY   \n",
       "7           S    NaN   NaN                         Belfast, NI   \n",
       "8           S      D   NaN                 Bayside, Queens, NY   \n",
       "9           C    NaN    22                 Montevideo, Uruguay   \n",
       "10          C    NaN   124                        New York, NY   \n",
       "11          C      4   NaN                        New York, NY   \n",
       "12          C      9   NaN                       Paris, France   \n",
       "13          S      6   NaN                                 NaN   \n",
       "14          S      B   NaN                       Hessle, Yorks   \n",
       "16          C    NaN   NaN                        Montreal, PQ   \n",
       "17          C      6   NaN                        Montreal, PQ   \n",
       "18          C      8   NaN                                 NaN   \n",
       "19          C      A   NaN                        Winnipeg, MN   \n",
       "20          S      5   NaN                        New York, NY   \n",
       "21          S      5   NaN                        New York, NY   \n",
       "22          C      5   NaN                        New York, NY   \n",
       "23          C      4   NaN                                 NaN   \n",
       "24          S      8   NaN                                 NaN   \n",
       "25          C    NaN   148                   San Francisco, CA   \n",
       "26          C      7   NaN                        Dowagiac, MI   \n",
       "27          C      7   NaN                        Dowagiac, MI   \n",
       "28          S      8   NaN                                 NaN   \n",
       "29          S      D   NaN  Stockholm, Sweden / Washington, DC   \n",
       "30          S    NaN   NaN                         Trenton, NJ   \n",
       "...       ...    ...   ...                                 ...   \n",
       "1269        S    NaN   NaN                                 NaN   \n",
       "1270        S    NaN   NaN                                 NaN   \n",
       "1271        S    NaN   NaN                                 NaN   \n",
       "1272        S    NaN   NaN                                 NaN   \n",
       "1273        S    NaN   NaN                                 NaN   \n",
       "1274        S    NaN   NaN                                 NaN   \n",
       "1275        S    NaN   NaN                                 NaN   \n",
       "1276        S    NaN   NaN                                 NaN   \n",
       "1277        C  13 15   NaN                                 NaN   \n",
       "1278        S    NaN   NaN                                 NaN   \n",
       "1279        S    NaN   NaN                                 NaN   \n",
       "1280        S    NaN   NaN                                 NaN   \n",
       "1281        S    NaN   NaN      Antwerp, Belgium / Stanton, OH   \n",
       "1285        S    NaN   298                                 NaN   \n",
       "1286        C      C   NaN                                 NaN   \n",
       "1287        S    NaN   NaN                                 NaN   \n",
       "1288        S    NaN   314                                 NaN   \n",
       "1289        S    NaN   NaN                                 NaN   \n",
       "1290        S    NaN   NaN                                 NaN   \n",
       "1294        S    NaN    14                                 NaN   \n",
       "1295        S    NaN   NaN                                 NaN   \n",
       "1296        S    NaN   131                                 NaN   \n",
       "1298        S    NaN   NaN                                 NaN   \n",
       "1299        C      C   NaN                                 NaN   \n",
       "1300        C    NaN   NaN                                 NaN   \n",
       "1301        C    NaN   312                                 NaN   \n",
       "1304        C    NaN   328                                 NaN   \n",
       "1306        C    NaN   304                                 NaN   \n",
       "1307        C    NaN   NaN                                 NaN   \n",
       "1308        S    NaN   NaN                                 NaN   \n",
       "\n",
       "      cabin_factorized  Age_Scaled  \n",
       "ID                                  \n",
       "0                    0   -0.061162  \n",
       "1                    1   -2.010496  \n",
       "2                    1   -1.935302  \n",
       "3                    1    0.008251  \n",
       "4                    1   -0.338812  \n",
       "5                    2    1.257677  \n",
       "6                    3    2.298866  \n",
       "7                    4    0.632964  \n",
       "8                    5    1.604740  \n",
       "9                   -1    2.854167  \n",
       "10                   6    1.188265  \n",
       "11                   6   -0.824700  \n",
       "12                   7   -0.408225  \n",
       "13                  -1   -0.269400  \n",
       "14                   8    3.478880  \n",
       "16                   9   -0.408225  \n",
       "17                   9    1.396503  \n",
       "18                  10    0.147076  \n",
       "19                  11    0.424726  \n",
       "20                  12    0.494139  \n",
       "21                  12    1.188265  \n",
       "22                  13   -0.269400  \n",
       "23                  -1    0.841202  \n",
       "24                  14   -0.061162  \n",
       "25                  -1   -0.338812  \n",
       "26                  15   -0.338812  \n",
       "27                  15   -0.755288  \n",
       "28                  16    0.355314  \n",
       "29                  17   -0.130574  \n",
       "30                  18    1.049440  \n",
       "...                ...         ...  \n",
       "1269                -1    0.216489  \n",
       "1270                -1   -0.130574  \n",
       "1271                -1   -0.130574  \n",
       "1272                -1    1.188265  \n",
       "1273                -1   -0.824700  \n",
       "1274                -1    0.077663  \n",
       "1275                -1   -0.963526  \n",
       "1276                -1    0.077663  \n",
       "1277                -1   -0.547050  \n",
       "1278                -1   -0.685875  \n",
       "1279                -1   -1.102351  \n",
       "1280                -1   -0.547050  \n",
       "1281                -1   -0.547050  \n",
       "1285                -1    0.181782  \n",
       "1286                -1    0.563551  \n",
       "1287                -1    1.465915  \n",
       "1288                -1   -0.824700  \n",
       "1289                -1   -0.616463  \n",
       "1290                -1    1.188265  \n",
       "1294                -1   -0.095868  \n",
       "1295                -1   -0.616463  \n",
       "1296                -1   -0.199987  \n",
       "1298                -1    0.424726  \n",
       "1299                -1   -0.199987  \n",
       "1300                -1   -1.032938  \n",
       "1301                -1    1.084146  \n",
       "1304                -1   -1.067644  \n",
       "1306                -1   -0.234693  \n",
       "1307                -1   -0.199987  \n",
       "1308                -1   -0.061162  \n",
       "\n",
       "[1046 rows x 16 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_titanic"
   ]
  }
 ],
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