{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AGE</th>\n",
       "      <th>BILIRUBIN</th>\n",
       "      <th>PROTIME</th>\n",
       "      <th>ALBUMIN</th>\n",
       "      <th>ALK_PHOSPHATE</th>\n",
       "      <th>SGOT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>155.000000</td>\n",
       "      <td>149.000000</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>151.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>41.200000</td>\n",
       "      <td>1.427517</td>\n",
       "      <td>61.852273</td>\n",
       "      <td>3.817266</td>\n",
       "      <td>105.325397</td>\n",
       "      <td>85.89404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>12.565878</td>\n",
       "      <td>1.212149</td>\n",
       "      <td>22.875244</td>\n",
       "      <td>0.651523</td>\n",
       "      <td>51.508109</td>\n",
       "      <td>89.65089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>14.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>74.250000</td>\n",
       "      <td>31.50000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>39.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>58.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>50.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>76.250000</td>\n",
       "      <td>4.200000</td>\n",
       "      <td>132.250000</td>\n",
       "      <td>100.50000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>78.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>295.000000</td>\n",
       "      <td>648.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              AGE   BILIRUBIN     PROTIME     ALBUMIN  ALK_PHOSPHATE  \\\n",
       "count  155.000000  149.000000   88.000000  139.000000     126.000000   \n",
       "mean    41.200000    1.427517   61.852273    3.817266     105.325397   \n",
       "std     12.565878    1.212149   22.875244    0.651523      51.508109   \n",
       "min      7.000000    0.300000    0.000000    2.100000      26.000000   \n",
       "25%     32.000000    0.700000   46.000000    3.400000      74.250000   \n",
       "50%     39.000000    1.000000   61.000000    4.000000      85.000000   \n",
       "75%     50.000000    1.500000   76.250000    4.200000     132.250000   \n",
       "max     78.000000    8.000000  100.000000    6.400000     295.000000   \n",
       "\n",
       "            SGOT  \n",
       "count  151.00000  \n",
       "mean    85.89404  \n",
       "std     89.65089  \n",
       "min     14.00000  \n",
       "25%     31.50000  \n",
       "50%     58.00000  \n",
       "75%    100.50000  \n",
       "max    648.00000  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numerical_variables = ['AGE', 'BILIRUBIN', 'PROTIME', 'ALBUMIN', 'ALK_PHOSPHATE', 'SGOT']\n",
    "hepatitis_data[numerical_variables].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SEX</th>\n",
       "      <th>STEROID</th>\n",
       "      <th>ANTIVIRALS</th>\n",
       "      <th>FATIGUE</th>\n",
       "      <th>MALAISE</th>\n",
       "      <th>ANOREXIA</th>\n",
       "      <th>LIVER_BIG</th>\n",
       "      <th>LIVER_FIRM</th>\n",
       "      <th>SPLEEN_PALPABLE</th>\n",
       "      <th>SPIDERS</th>\n",
       "      <th>ASCITES</th>\n",
       "      <th>VARICES</th>\n",
       "      <th>HISTOLOGY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>139</td>\n",
       "      <td>76</td>\n",
       "      <td>131</td>\n",
       "      <td>54</td>\n",
       "      <td>93</td>\n",
       "      <td>122</td>\n",
       "      <td>25</td>\n",
       "      <td>84</td>\n",
       "      <td>120</td>\n",
       "      <td>99</td>\n",
       "      <td>130</td>\n",
       "      <td>132</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>16</td>\n",
       "      <td>78</td>\n",
       "      <td>24</td>\n",
       "      <td>100</td>\n",
       "      <td>61</td>\n",
       "      <td>32</td>\n",
       "      <td>120</td>\n",
       "      <td>60</td>\n",
       "      <td>30</td>\n",
       "      <td>51</td>\n",
       "      <td>20</td>\n",
       "      <td>18</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     SEX  STEROID  ANTIVIRALS  FATIGUE  MALAISE  ANOREXIA  LIVER_BIG  \\\n",
       "0.0  139       76         131       54       93       122         25   \n",
       "1.0   16       78          24      100       61        32        120   \n",
       "\n",
       "     LIVER_FIRM  SPLEEN_PALPABLE  SPIDERS  ASCITES  VARICES  HISTOLOGY  \n",
       "0.0          84              120       99      130      132         85  \n",
       "1.0          60               30       51       20       18         70  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categorical_variables = ['SEX' , 'STEROID', 'ANTIVIRALS', 'FATIGUE','MALAISE','ANOREXIA','LIVER_BIG','LIVER_FIRM','SPLEEN_PALPABLE',\n",
    "'SPIDERS','ASCITES','VARICES', 'HISTOLOGY']\n",
    "hepatitis_data[categorical_variables].apply(pd.Series.value_counts)"
   ]
  }
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