examples/sample-datasets.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Samples of the available datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from pydataset import data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.00632</td>\n",
       "      <td>18</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1</td>\n",
       "      <td>296</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.02731</td>\n",
       "      <td>0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.02729</td>\n",
       "      <td>0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.03237</td>\n",
       "      <td>0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.06905</td>\n",
       "      <td>0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      crim  zn  indus  chas    nox     rm   age     dis  rad  tax  ptratio  \\\n",
       "1  0.00632  18   2.31     0  0.538  6.575  65.2  4.0900    1  296     15.3   \n",
       "2  0.02731   0   7.07     0  0.469  6.421  78.9  4.9671    2  242     17.8   \n",
       "3  0.02729   0   7.07     0  0.469  7.185  61.1  4.9671    2  242     17.8   \n",
       "4  0.03237   0   2.18     0  0.458  6.998  45.8  6.0622    3  222     18.7   \n",
       "5  0.06905   0   2.18     0  0.458  7.147  54.2  6.0622    3  222     18.7   \n",
       "\n",
       "    black  lstat  medv  \n",
       "1  396.90   4.98  24.0  \n",
       "2  396.90   9.14  21.6  \n",
       "3  392.83   4.03  34.7  \n",
       "4  394.63   2.94  33.4  \n",
       "5  396.90   5.33  36.2  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston = data('Boston')\n",
    "boston.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>dur</th>\n",
       "      <th>size</th>\n",
       "      <th>waterd</th>\n",
       "      <th>gasres</th>\n",
       "      <th>operator</th>\n",
       "      <th>p</th>\n",
       "      <th>vardp</th>\n",
       "      <th>p97</th>\n",
       "      <th>varp97</th>\n",
       "      <th>p98</th>\n",
       "      <th>varp98</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>86</td>\n",
       "      <td>235</td>\n",
       "      <td>126</td>\n",
       "      <td>1140</td>\n",
       "      <td>2576</td>\n",
       "      <td>2.1834</td>\n",
       "      <td>1.8700</td>\n",
       "      <td>2.0480</td>\n",
       "      <td>3.298</td>\n",
       "      <td>2.2091</td>\n",
       "      <td>3.905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>227</td>\n",
       "      <td>105</td>\n",
       "      <td>91</td>\n",
       "      <td>0</td>\n",
       "      <td>16000</td>\n",
       "      <td>1.3894</td>\n",
       "      <td>2.4000</td>\n",
       "      <td>2.0047</td>\n",
       "      <td>4.622</td>\n",
       "      <td>2.0542</td>\n",
       "      <td>4.818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17</td>\n",
       "      <td>70</td>\n",
       "      <td>76</td>\n",
       "      <td>0</td>\n",
       "      <td>584</td>\n",
       "      <td>0.9321</td>\n",
       "      <td>0.0070</td>\n",
       "      <td>0.9076</td>\n",
       "      <td>0.178</td>\n",
       "      <td>0.9056</td>\n",
       "      <td>0.179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12</td>\n",
       "      <td>96</td>\n",
       "      <td>85</td>\n",
       "      <td>0</td>\n",
       "      <td>16175</td>\n",
       "      <td>0.9893</td>\n",
       "      <td>0.0070</td>\n",
       "      <td>0.8993</td>\n",
       "      <td>0.150</td>\n",
       "      <td>0.8939</td>\n",
       "      <td>0.155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>99</td>\n",
       "      <td>70</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>2445</td>\n",
       "      <td>2.2432</td>\n",
       "      <td>1.9576</td>\n",
       "      <td>2.0662</td>\n",
       "      <td>3.258</td>\n",
       "      <td>2.2089</td>\n",
       "      <td>3.833</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   dur  size  waterd  gasres  operator       p   vardp     p97  varp97  \\\n",
       "1   86   235     126    1140      2576  2.1834  1.8700  2.0480   3.298   \n",
       "2  227   105      91       0     16000  1.3894  2.4000  2.0047   4.622   \n",
       "3   17    70      76       0       584  0.9321  0.0070  0.9076   0.178   \n",
       "4   12    96      85       0     16175  0.9893  0.0070  0.8993   0.150   \n",
       "5   99    70     140       0      2445  2.2432  1.9576  2.0662   3.258   \n",
       "\n",
       "      p98  varp98  \n",
       "1  2.2091   3.905  \n",
       "2  2.0542   4.818  \n",
       "3  0.9056   0.179  \n",
       "4  0.8939   0.155  \n",
       "5  2.2089   3.833  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oil = data('Oil')\n",
    "oil.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>airline</th>\n",
       "      <th>year</th>\n",
       "      <th>cost</th>\n",
       "      <th>output</th>\n",
       "      <th>pf</th>\n",
       "      <th>lf</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1140640</td>\n",
       "      <td>0.952757</td>\n",
       "      <td>106650</td>\n",
       "      <td>0.534487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1215690</td>\n",
       "      <td>0.986757</td>\n",
       "      <td>110307</td>\n",
       "      <td>0.532328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1309570</td>\n",
       "      <td>1.091980</td>\n",
       "      <td>110574</td>\n",
       "      <td>0.547736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1511530</td>\n",
       "      <td>1.175780</td>\n",
       "      <td>121974</td>\n",
       "      <td>0.540846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1676730</td>\n",
       "      <td>1.160170</td>\n",
       "      <td>196606</td>\n",
       "      <td>0.591167</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   airline  year     cost    output      pf        lf\n",
       "1        1     1  1140640  0.952757  106650  0.534487\n",
       "2        1     2  1215690  0.986757  110307  0.532328\n",
       "3        1     3  1309570  1.091980  110574  0.547736\n",
       "4        1     4  1511530  1.175780  121974  0.540846\n",
       "5        1     5  1676730  1.160170  196606  0.591167"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "air = data('Airline')\n",
    "air.head()"
   ]
  },
  {
   "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>price</th>\n",
       "      <th>lotsize</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrms</th>\n",
       "      <th>stories</th>\n",
       "      <th>driveway</th>\n",
       "      <th>recroom</th>\n",
       "      <th>fullbase</th>\n",
       "      <th>gashw</th>\n",
       "      <th>airco</th>\n",
       "      <th>garagepl</th>\n",
       "      <th>prefarea</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>42000</td>\n",
       "      <td>5850</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>1</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>38500</td>\n",
       "      <td>4000</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>49500</td>\n",
       "      <td>3060</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60500</td>\n",
       "      <td>6650</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>61000</td>\n",
       "      <td>6360</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   price  lotsize  bedrooms  bathrms  stories driveway recroom fullbase gashw  \\\n",
       "1  42000     5850         3        1        2      yes      no      yes    no   \n",
       "2  38500     4000         2        1        1      yes      no       no    no   \n",
       "3  49500     3060         3        1        1      yes      no       no    no   \n",
       "4  60500     6650         3        1        2      yes     yes       no    no   \n",
       "5  61000     6360         2        1        1      yes      no       no    no   \n",
       "\n",
       "  airco  garagepl prefarea  \n",
       "1    no         1       no  \n",
       "2    no         0       no  \n",
       "3    no         0       no  \n",
       "4    no         0       no  \n",
       "5    no         0       no  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing = data('Housing')\n",
    "housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>title</th>\n",
       "      <th>pub</th>\n",
       "      <th>society</th>\n",
       "      <th>libprice</th>\n",
       "      <th>pages</th>\n",
       "      <th>charpp</th>\n",
       "      <th>citestot</th>\n",
       "      <th>date1</th>\n",
       "      <th>oclc</th>\n",
       "      <th>field</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Asian-Pacific Economic Literature</td>\n",
       "      <td>Blackwell</td>\n",
       "      <td>no</td>\n",
       "      <td>123</td>\n",
       "      <td>440</td>\n",
       "      <td>3822</td>\n",
       "      <td>21</td>\n",
       "      <td>1986</td>\n",
       "      <td>14</td>\n",
       "      <td>General</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>South African Journal of Economic History</td>\n",
       "      <td>So Afr ec history assn</td>\n",
       "      <td>no</td>\n",
       "      <td>20</td>\n",
       "      <td>309</td>\n",
       "      <td>1782</td>\n",
       "      <td>22</td>\n",
       "      <td>1986</td>\n",
       "      <td>59</td>\n",
       "      <td>Ec History</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Computational Economics</td>\n",
       "      <td>Kluwer</td>\n",
       "      <td>no</td>\n",
       "      <td>443</td>\n",
       "      <td>567</td>\n",
       "      <td>2924</td>\n",
       "      <td>22</td>\n",
       "      <td>1987</td>\n",
       "      <td>17</td>\n",
       "      <td>Specialized</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MOCT-MOST Economic Policy in Transitional Economics</td>\n",
       "      <td>Kluwer</td>\n",
       "      <td>no</td>\n",
       "      <td>276</td>\n",
       "      <td>520</td>\n",
       "      <td>3234</td>\n",
       "      <td>22</td>\n",
       "      <td>1991</td>\n",
       "      <td>2</td>\n",
       "      <td>Area Studies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Journal of Socio-Economics</td>\n",
       "      <td>Elsevier</td>\n",
       "      <td>no</td>\n",
       "      <td>295</td>\n",
       "      <td>791</td>\n",
       "      <td>3024</td>\n",
       "      <td>24</td>\n",
       "      <td>1972</td>\n",
       "      <td>96</td>\n",
       "      <td>Interdisciplinary</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 title  \\\n",
       "1                    Asian-Pacific Economic Literature   \n",
       "2            South African Journal of Economic History   \n",
       "3                              Computational Economics   \n",
       "4  MOCT-MOST Economic Policy in Transitional Economics   \n",
       "5                           Journal of Socio-Economics   \n",
       "\n",
       "                      pub society  libprice  pages  charpp  citestot  date1  \\\n",
       "1               Blackwell      no       123    440    3822        21   1986   \n",
       "2  So Afr ec history assn      no        20    309    1782        22   1986   \n",
       "3                  Kluwer      no       443    567    2924        22   1987   \n",
       "4                  Kluwer      no       276    520    3234        22   1991   \n",
       "5                Elsevier      no       295    791    3024        24   1972   \n",
       "\n",
       "   oclc              field  \n",
       "1    14            General  \n",
       "2    59         Ec History  \n",
       "3    17        Specialized  \n",
       "4     2       Area Studies  \n",
       "5    96  Interdisciplinary  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing = data('Journals')\n",
    "housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>occupation</th>\n",
       "      <th>region</th>\n",
       "      <th>nkids</th>\n",
       "      <th>nkids2</th>\n",
       "      <th>nadults</th>\n",
       "      <th>lnx</th>\n",
       "      <th>stobacco</th>\n",
       "      <th>salcohol</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>bluecol</td>\n",
       "      <td>flanders</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>14.19054</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>inactself</td>\n",
       "      <td>flanders</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>13.90857</td>\n",
       "      <td>0</td>\n",
       "      <td>0.002285</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>whitecol</td>\n",
       "      <td>flanders</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>13.97461</td>\n",
       "      <td>0</td>\n",
       "      <td>0.012875</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>bluecol</td>\n",
       "      <td>flanders</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>13.76281</td>\n",
       "      <td>0</td>\n",
       "      <td>0.005907</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>inactself</td>\n",
       "      <td>flanders</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>13.80800</td>\n",
       "      <td>0</td>\n",
       "      <td>0.021981</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  occupation    region  nkids  nkids2  nadults       lnx  stobacco  salcohol  \\\n",
       "1    bluecol  flanders      1       0        2  14.19054         0  0.000000   \n",
       "2  inactself  flanders      0       0        3  13.90857         0  0.002285   \n",
       "3   whitecol  flanders      0       0        1  13.97461         0  0.012875   \n",
       "4    bluecol  flanders      1       0        2  13.76281         0  0.005907   \n",
       "5  inactself  flanders      2       0        1  13.80800         0  0.021981   \n",
       "\n",
       "   age  \n",
       "1    2  \n",
       "2    3  \n",
       "3    2  \n",
       "4    2  \n",
       "5    2  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing = data('Tobacco')\n",
    "housing.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you are not sure what's the dataset name or whether it exists or not, you can try something close:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Did you mean:\n",
      "anscombe, Anscombe, income, acme, newcomb, cancer, OME, voteincome, cane, sanction, brambles\n"
     ]
    }
   ],
   "source": [
    "data('ancombe')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}