Lecture 44 - Aggregation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas import Series,DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>quality</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11</td>\n",
       "      <td>34</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25</td>\n",
       "      <td>67</td>\n",
       "      <td>0.9968</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15</td>\n",
       "      <td>54</td>\n",
       "      <td>0.9970</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17</td>\n",
       "      <td>60</td>\n",
       "      <td>0.9980</td>\n",
       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11</td>\n",
       "      <td>34</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "0            7.4              0.70         0.00             1.9      0.076   \n",
       "1            7.8              0.88         0.00             2.6      0.098   \n",
       "2            7.8              0.76         0.04             2.3      0.092   \n",
       "3           11.2              0.28         0.56             1.9      0.075   \n",
       "4            7.4              0.70         0.00             1.9      0.076   \n",
       "\n",
       "   free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "0                   11                    34   0.9978  3.51       0.56   \n",
       "1                   25                    67   0.9968  3.20       0.68   \n",
       "2                   15                    54   0.9970  3.26       0.65   \n",
       "3                   17                    60   0.9980  3.16       0.58   \n",
       "4                   11                    34   0.9978  3.51       0.56   \n",
       "\n",
       "   alcohol  quality  \n",
       "0      9.4        5  \n",
       "1      9.8        5  \n",
       "2      9.8        5  \n",
       "3      9.8        6  \n",
       "4      9.4        5  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dframe_wine=pd.read_csv('winequality-red.csv',sep=';')\n",
    "dframe_wine.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10.422983114446529"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dframe_wine['alcohol'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def max_to_min(arr):\n",
    "    return arr.max()-arr.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "wino=dframe_wine.groupby('quality')"
   ]
  },
  {
   "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></th>\n",
       "      <th>alcohol</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>density</th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>pH</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>volatile acidity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quality</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 rowspan=\"8\" valign=\"top\">3</th>\n",
       "      <th>count</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.955000</td>\n",
       "      <td>0.122500</td>\n",
       "      <td>0.171000</td>\n",
       "      <td>0.997464</td>\n",
       "      <td>8.360000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>3.398000</td>\n",
       "      <td>2.635000</td>\n",
       "      <td>0.570000</td>\n",
       "      <td>24.900000</td>\n",
       "      <td>0.884500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.818009</td>\n",
       "      <td>0.066241</td>\n",
       "      <td>0.250664</td>\n",
       "      <td>0.002002</td>\n",
       "      <td>1.770875</td>\n",
       "      <td>9.763879</td>\n",
       "      <td>0.144052</td>\n",
       "      <td>1.401596</td>\n",
       "      <td>0.122020</td>\n",
       "      <td>16.828877</td>\n",
       "      <td>0.331256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>8.400000</td>\n",
       "      <td>0.061000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.994710</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.160000</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.440000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9.725000</td>\n",
       "      <td>0.079000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.996150</td>\n",
       "      <td>7.150000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.312500</td>\n",
       "      <td>1.875000</td>\n",
       "      <td>0.512500</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>0.647500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.925000</td>\n",
       "      <td>0.090500</td>\n",
       "      <td>0.035000</td>\n",
       "      <td>0.997565</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3.390000</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>0.545000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0.845000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>10.575000</td>\n",
       "      <td>0.143000</td>\n",
       "      <td>0.327500</td>\n",
       "      <td>0.998770</td>\n",
       "      <td>9.875000</td>\n",
       "      <td>14.500000</td>\n",
       "      <td>3.495000</td>\n",
       "      <td>3.100000</td>\n",
       "      <td>0.615000</td>\n",
       "      <td>42.500000</td>\n",
       "      <td>1.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>0.267000</td>\n",
       "      <td>0.660000</td>\n",
       "      <td>1.000800</td>\n",
       "      <td>11.600000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>3.630000</td>\n",
       "      <td>5.700000</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>1.580000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">4</th>\n",
       "      <th>count</th>\n",
       "      <td>53.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>53.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10.265094</td>\n",
       "      <td>0.090679</td>\n",
       "      <td>0.174151</td>\n",
       "      <td>0.996542</td>\n",
       "      <td>7.779245</td>\n",
       "      <td>12.264151</td>\n",
       "      <td>3.381509</td>\n",
       "      <td>2.694340</td>\n",
       "      <td>0.596415</td>\n",
       "      <td>36.245283</td>\n",
       "      <td>0.693962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.934776</td>\n",
       "      <td>0.076192</td>\n",
       "      <td>0.201030</td>\n",
       "      <td>0.001575</td>\n",
       "      <td>1.626624</td>\n",
       "      <td>9.025926</td>\n",
       "      <td>0.181441</td>\n",
       "      <td>1.789436</td>\n",
       "      <td>0.239391</td>\n",
       "      <td>27.583374</td>\n",
       "      <td>0.220110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.045000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.993400</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.740000</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>0.330000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.230000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9.600000</td>\n",
       "      <td>0.067000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.995650</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>0.490000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>0.530000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>0.996500</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>3.370000</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>0.560000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>0.670000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>0.089000</td>\n",
       "      <td>0.270000</td>\n",
       "      <td>0.997450</td>\n",
       "      <td>8.400000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>0.870000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>13.100000</td>\n",
       "      <td>0.610000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.001000</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>3.900000</td>\n",
       "      <td>12.900000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>119.000000</td>\n",
       "      <td>1.130000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">5</th>\n",
       "      <th>count</th>\n",
       "      <td>681.000000</td>\n",
       "      <td>681.000000</td>\n",
       "      <td>681.000000</td>\n",
       "      <td>681.000000</td>\n",
       "      <td>681.000000</td>\n",
       "      <td>681.000000</td>\n",
       "      <td>681.000000</td>\n",
       "      <td>681.000000</td>\n",
       "      <td>681.000000</td>\n",
       "      <td>681.000000</td>\n",
       "      <td>681.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.899706</td>\n",
       "      <td>0.092736</td>\n",
       "      <td>0.243686</td>\n",
       "      <td>0.997104</td>\n",
       "      <td>8.167254</td>\n",
       "      <td>16.983847</td>\n",
       "      <td>3.304949</td>\n",
       "      <td>2.528855</td>\n",
       "      <td>0.620969</td>\n",
       "      <td>56.513950</td>\n",
       "      <td>0.577041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.736521</td>\n",
       "      <td>0.053707</td>\n",
       "      <td>0.180003</td>\n",
       "      <td>0.001589</td>\n",
       "      <td>1.563988</td>\n",
       "      <td>10.955446</td>\n",
       "      <td>0.150618</td>\n",
       "      <td>1.359753</td>\n",
       "      <td>0.171062</td>\n",
       "      <td>36.993116</td>\n",
       "      <td>0.164801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>8.500000</td>\n",
       "      <td>0.039000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.992560</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.880000</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>0.370000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.180000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9.400000</td>\n",
       "      <td>0.074000</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>0.996200</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>3.200000</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>0.530000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>0.460000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.700000</td>\n",
       "      <td>0.081000</td>\n",
       "      <td>0.230000</td>\n",
       "      <td>0.997000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>2.200000</td>\n",
       "      <td>0.580000</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>0.580000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>10.200000</td>\n",
       "      <td>0.094000</td>\n",
       "      <td>0.360000</td>\n",
       "      <td>0.997900</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>0.660000</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>0.670000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>14.900000</td>\n",
       "      <td>0.611000</td>\n",
       "      <td>0.790000</td>\n",
       "      <td>1.003150</td>\n",
       "      <td>15.900000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>3.740000</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>1.980000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>1.330000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">6</th>\n",
       "      <th>count</th>\n",
       "      <td>638.000000</td>\n",
       "      <td>638.000000</td>\n",
       "      <td>638.000000</td>\n",
       "      <td>638.000000</td>\n",
       "      <td>638.000000</td>\n",
       "      <td>638.000000</td>\n",
       "      <td>638.000000</td>\n",
       "      <td>638.000000</td>\n",
       "      <td>638.000000</td>\n",
       "      <td>638.000000</td>\n",
       "      <td>638.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10.629519</td>\n",
       "      <td>0.084956</td>\n",
       "      <td>0.273824</td>\n",
       "      <td>0.996615</td>\n",
       "      <td>8.347179</td>\n",
       "      <td>15.711599</td>\n",
       "      <td>3.318072</td>\n",
       "      <td>2.477194</td>\n",
       "      <td>0.675329</td>\n",
       "      <td>40.869906</td>\n",
       "      <td>0.497484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.049639</td>\n",
       "      <td>0.039563</td>\n",
       "      <td>0.195108</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>1.797849</td>\n",
       "      <td>9.940911</td>\n",
       "      <td>0.153995</td>\n",
       "      <td>1.441576</td>\n",
       "      <td>0.158650</td>\n",
       "      <td>25.038250</td>\n",
       "      <td>0.160962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>8.400000</td>\n",
       "      <td>0.034000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990070</td>\n",
       "      <td>4.700000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.860000</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.160000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9.800000</td>\n",
       "      <td>0.068250</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>0.995402</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3.220000</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>0.580000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>0.380000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>10.500000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>0.260000</td>\n",
       "      <td>0.996560</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>3.320000</td>\n",
       "      <td>2.200000</td>\n",
       "      <td>0.640000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>0.490000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>11.300000</td>\n",
       "      <td>0.088000</td>\n",
       "      <td>0.430000</td>\n",
       "      <td>0.997893</td>\n",
       "      <td>9.400000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>3.410000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>0.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>14.000000</td>\n",
       "      <td>0.415000</td>\n",
       "      <td>0.780000</td>\n",
       "      <td>1.003690</td>\n",
       "      <td>14.300000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>4.010000</td>\n",
       "      <td>15.400000</td>\n",
       "      <td>1.950000</td>\n",
       "      <td>165.000000</td>\n",
       "      <td>1.040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">7</th>\n",
       "      <th>count</th>\n",
       "      <td>199.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>199.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>11.465913</td>\n",
       "      <td>0.076588</td>\n",
       "      <td>0.375176</td>\n",
       "      <td>0.996104</td>\n",
       "      <td>8.872362</td>\n",
       "      <td>14.045226</td>\n",
       "      <td>3.290754</td>\n",
       "      <td>2.720603</td>\n",
       "      <td>0.741256</td>\n",
       "      <td>35.020101</td>\n",
       "      <td>0.403920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.961933</td>\n",
       "      <td>0.029456</td>\n",
       "      <td>0.194432</td>\n",
       "      <td>0.002176</td>\n",
       "      <td>1.992483</td>\n",
       "      <td>10.175255</td>\n",
       "      <td>0.150101</td>\n",
       "      <td>1.371509</td>\n",
       "      <td>0.135639</td>\n",
       "      <td>33.191206</td>\n",
       "      <td>0.145224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>9.200000</td>\n",
       "      <td>0.012000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990640</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.920000</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>0.390000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.120000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10.800000</td>\n",
       "      <td>0.062000</td>\n",
       "      <td>0.305000</td>\n",
       "      <td>0.994765</td>\n",
       "      <td>7.400000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3.200000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>17.500000</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>11.500000</td>\n",
       "      <td>0.073000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.995770</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>3.280000</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>0.740000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>0.370000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>12.100000</td>\n",
       "      <td>0.087000</td>\n",
       "      <td>0.490000</td>\n",
       "      <td>0.997360</td>\n",
       "      <td>10.100000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>3.380000</td>\n",
       "      <td>2.750000</td>\n",
       "      <td>0.830000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>0.485000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>14.000000</td>\n",
       "      <td>0.358000</td>\n",
       "      <td>0.760000</td>\n",
       "      <td>1.003200</td>\n",
       "      <td>15.600000</td>\n",
       "      <td>54.000000</td>\n",
       "      <td>3.780000</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>1.360000</td>\n",
       "      <td>289.000000</td>\n",
       "      <td>0.915000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">8</th>\n",
       "      <th>count</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>18.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>12.094444</td>\n",
       "      <td>0.068444</td>\n",
       "      <td>0.391111</td>\n",
       "      <td>0.995212</td>\n",
       "      <td>8.566667</td>\n",
       "      <td>13.277778</td>\n",
       "      <td>3.267222</td>\n",
       "      <td>2.577778</td>\n",
       "      <td>0.767778</td>\n",
       "      <td>33.444444</td>\n",
       "      <td>0.423333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.224011</td>\n",
       "      <td>0.011678</td>\n",
       "      <td>0.199526</td>\n",
       "      <td>0.002378</td>\n",
       "      <td>2.119656</td>\n",
       "      <td>11.155613</td>\n",
       "      <td>0.200640</td>\n",
       "      <td>1.295038</td>\n",
       "      <td>0.115379</td>\n",
       "      <td>25.433240</td>\n",
       "      <td>0.144914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>9.800000</td>\n",
       "      <td>0.044000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.990800</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.880000</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>0.630000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>0.260000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>11.325000</td>\n",
       "      <td>0.062000</td>\n",
       "      <td>0.302500</td>\n",
       "      <td>0.994175</td>\n",
       "      <td>7.250000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3.162500</td>\n",
       "      <td>1.800000</td>\n",
       "      <td>0.690000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>0.335000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>12.150000</td>\n",
       "      <td>0.070500</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.994940</td>\n",
       "      <td>8.250000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>3.230000</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>0.740000</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>0.370000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>12.875000</td>\n",
       "      <td>0.075500</td>\n",
       "      <td>0.530000</td>\n",
       "      <td>0.997200</td>\n",
       "      <td>10.225000</td>\n",
       "      <td>16.500000</td>\n",
       "      <td>3.350000</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>0.820000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>0.472500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>14.000000</td>\n",
       "      <td>0.086000</td>\n",
       "      <td>0.720000</td>\n",
       "      <td>0.998800</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>3.720000</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>0.850000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  alcohol   chlorides  citric acid     density  fixed acidity  \\\n",
       "quality                                                                         \n",
       "3       count   10.000000   10.000000    10.000000   10.000000      10.000000   \n",
       "        mean     9.955000    0.122500     0.171000    0.997464       8.360000   \n",
       "        std      0.818009    0.066241     0.250664    0.002002       1.770875   \n",
       "        min      8.400000    0.061000     0.000000    0.994710       6.700000   \n",
       "        25%      9.725000    0.079000     0.005000    0.996150       7.150000   \n",
       "        50%      9.925000    0.090500     0.035000    0.997565       7.500000   \n",
       "        75%     10.575000    0.143000     0.327500    0.998770       9.875000   \n",
       "        max     11.000000    0.267000     0.660000    1.000800      11.600000   \n",
       "4       count   53.000000   53.000000    53.000000   53.000000      53.000000   \n",
       "        mean    10.265094    0.090679     0.174151    0.996542       7.779245   \n",
       "        std      0.934776    0.076192     0.201030    0.001575       1.626624   \n",
       "        min      9.000000    0.045000     0.000000    0.993400       4.600000   \n",
       "        25%      9.600000    0.067000     0.030000    0.995650       6.800000   \n",
       "        50%     10.000000    0.080000     0.090000    0.996500       7.500000   \n",
       "        75%     11.000000    0.089000     0.270000    0.997450       8.400000   \n",
       "        max     13.100000    0.610000     1.000000    1.001000      12.500000   \n",
       "5       count  681.000000  681.000000   681.000000  681.000000     681.000000   \n",
       "        mean     9.899706    0.092736     0.243686    0.997104       8.167254   \n",
       "        std      0.736521    0.053707     0.180003    0.001589       1.563988   \n",
       "        min      8.500000    0.039000     0.000000    0.992560       5.000000   \n",
       "        25%      9.400000    0.074000     0.090000    0.996200       7.100000   \n",
       "        50%      9.700000    0.081000     0.230000    0.997000       7.800000   \n",
       "        75%     10.200000    0.094000     0.360000    0.997900       8.900000   \n",
       "        max     14.900000    0.611000     0.790000    1.003150      15.900000   \n",
       "6       count  638.000000  638.000000   638.000000  638.000000     638.000000   \n",
       "        mean    10.629519    0.084956     0.273824    0.996615       8.347179   \n",
       "        std      1.049639    0.039563     0.195108    0.002000       1.797849   \n",
       "        min      8.400000    0.034000     0.000000    0.990070       4.700000   \n",
       "        25%      9.800000    0.068250     0.090000    0.995402       7.000000   \n",
       "        50%     10.500000    0.078000     0.260000    0.996560       7.900000   \n",
       "        75%     11.300000    0.088000     0.430000    0.997893       9.400000   \n",
       "        max     14.000000    0.415000     0.780000    1.003690      14.300000   \n",
       "7       count  199.000000  199.000000   199.000000  199.000000     199.000000   \n",
       "        mean    11.465913    0.076588     0.375176    0.996104       8.872362   \n",
       "        std      0.961933    0.029456     0.194432    0.002176       1.992483   \n",
       "        min      9.200000    0.012000     0.000000    0.990640       4.900000   \n",
       "        25%     10.800000    0.062000     0.305000    0.994765       7.400000   \n",
       "        50%     11.500000    0.073000     0.400000    0.995770       8.800000   \n",
       "        75%     12.100000    0.087000     0.490000    0.997360      10.100000   \n",
       "        max     14.000000    0.358000     0.760000    1.003200      15.600000   \n",
       "8       count   18.000000   18.000000    18.000000   18.000000      18.000000   \n",
       "        mean    12.094444    0.068444     0.391111    0.995212       8.566667   \n",
       "        std      1.224011    0.011678     0.199526    0.002378       2.119656   \n",
       "        min      9.800000    0.044000     0.030000    0.990800       5.000000   \n",
       "        25%     11.325000    0.062000     0.302500    0.994175       7.250000   \n",
       "        50%     12.150000    0.070500     0.420000    0.994940       8.250000   \n",
       "        75%     12.875000    0.075500     0.530000    0.997200      10.225000   \n",
       "        max     14.000000    0.086000     0.720000    0.998800      12.600000   \n",
       "\n",
       "               free sulfur dioxide          pH  residual sugar   sulphates  \\\n",
       "quality                                                                      \n",
       "3       count            10.000000   10.000000       10.000000   10.000000   \n",
       "        mean             11.000000    3.398000        2.635000    0.570000   \n",
       "        std               9.763879    0.144052        1.401596    0.122020   \n",
       "        min               3.000000    3.160000        1.200000    0.400000   \n",
       "        25%               5.000000    3.312500        1.875000    0.512500   \n",
       "        50%               6.000000    3.390000        2.100000    0.545000   \n",
       "        75%              14.500000    3.495000        3.100000    0.615000   \n",
       "        max              34.000000    3.630000        5.700000    0.860000   \n",
       "4       count            53.000000   53.000000       53.000000   53.000000   \n",
       "        mean             12.264151    3.381509        2.694340    0.596415   \n",
       "        std               9.025926    0.181441        1.789436    0.239391   \n",
       "        min               3.000000    2.740000        1.300000    0.330000   \n",
       "        25%               6.000000    3.300000        1.900000    0.490000   \n",
       "        50%              11.000000    3.370000        2.100000    0.560000   \n",
       "        75%              15.000000    3.500000        2.800000    0.600000   \n",
       "        max              41.000000    3.900000       12.900000    2.000000   \n",
       "5       count           681.000000  681.000000      681.000000  681.000000   \n",
       "        mean             16.983847    3.304949        2.528855    0.620969   \n",
       "        std              10.955446    0.150618        1.359753    0.171062   \n",
       "        min               3.000000    2.880000        1.200000    0.370000   \n",
       "        25%               9.000000    3.200000        1.900000    0.530000   \n",
       "        50%              15.000000    3.300000        2.200000    0.580000   \n",
       "        75%              23.000000    3.400000        2.600000    0.660000   \n",
       "        max              68.000000    3.740000       15.500000    1.980000   \n",
       "6       count           638.000000  638.000000      638.000000  638.000000   \n",
       "        mean             15.711599    3.318072        2.477194    0.675329   \n",
       "        std               9.940911    0.153995        1.441576    0.158650   \n",
       "        min               1.000000    2.860000        0.900000    0.400000   \n",
       "        25%               8.000000    3.220000        1.900000    0.580000   \n",
       "        50%              14.000000    3.320000        2.200000    0.640000   \n",
       "        75%              21.000000    3.410000        2.500000    0.750000   \n",
       "        max              72.000000    4.010000       15.400000    1.950000   \n",
       "7       count           199.000000  199.000000      199.000000  199.000000   \n",
       "        mean             14.045226    3.290754        2.720603    0.741256   \n",
       "        std              10.175255    0.150101        1.371509    0.135639   \n",
       "        min               3.000000    2.920000        1.200000    0.390000   \n",
       "        25%               6.000000    3.200000        2.000000    0.650000   \n",
       "        50%              11.000000    3.280000        2.300000    0.740000   \n",
       "        75%              18.000000    3.380000        2.750000    0.830000   \n",
       "        max              54.000000    3.780000        8.900000    1.360000   \n",
       "8       count            18.000000   18.000000       18.000000   18.000000   \n",
       "        mean             13.277778    3.267222        2.577778    0.767778   \n",
       "        std              11.155613    0.200640        1.295038    0.115379   \n",
       "        min               3.000000    2.880000        1.400000    0.630000   \n",
       "        25%               6.000000    3.162500        1.800000    0.690000   \n",
       "        50%               7.500000    3.230000        2.100000    0.740000   \n",
       "        75%              16.500000    3.350000        2.600000    0.820000   \n",
       "        max              42.000000    3.720000        6.400000    1.100000   \n",
       "\n",
       "               total sulfur dioxide  volatile acidity  \n",
       "quality                                                \n",
       "3       count             10.000000         10.000000  \n",
       "        mean              24.900000          0.884500  \n",
       "        std               16.828877          0.331256  \n",
       "        min                9.000000          0.440000  \n",
       "        25%               12.500000          0.647500  \n",
       "        50%               15.000000          0.845000  \n",
       "        75%               42.500000          1.010000  \n",
       "        max               49.000000          1.580000  \n",
       "4       count             53.000000         53.000000  \n",
       "        mean              36.245283          0.693962  \n",
       "        std               27.583374          0.220110  \n",
       "        min                7.000000          0.230000  \n",
       "        25%               14.000000          0.530000  \n",
       "        50%               26.000000          0.670000  \n",
       "        75%               49.000000          0.870000  \n",
       "        max              119.000000          1.130000  \n",
       "5       count            681.000000        681.000000  \n",
       "        mean              56.513950          0.577041  \n",
       "        std               36.993116          0.164801  \n",
       "        min                6.000000          0.180000  \n",
       "        25%               26.000000          0.460000  \n",
       "        50%               47.000000          0.580000  \n",
       "        75%               84.000000          0.670000  \n",
       "        max              155.000000          1.330000  \n",
       "6       count            638.000000        638.000000  \n",
       "        mean              40.869906          0.497484  \n",
       "        std               25.038250          0.160962  \n",
       "        min                6.000000          0.160000  \n",
       "        25%               23.000000          0.380000  \n",
       "        50%               35.000000          0.490000  \n",
       "        75%               54.000000          0.600000  \n",
       "        max              165.000000          1.040000  \n",
       "7       count            199.000000        199.000000  \n",
       "        mean              35.020101          0.403920  \n",
       "        std               33.191206          0.145224  \n",
       "        min                7.000000          0.120000  \n",
       "        25%               17.500000          0.300000  \n",
       "        50%               27.000000          0.370000  \n",
       "        75%               43.000000          0.485000  \n",
       "        max              289.000000          0.915000  \n",
       "8       count             18.000000         18.000000  \n",
       "        mean              33.444444          0.423333  \n",
       "        std               25.433240          0.144914  \n",
       "        min               12.000000          0.260000  \n",
       "        25%               16.000000          0.335000  \n",
       "        50%               21.500000          0.370000  \n",
       "        75%               43.000000          0.472500  \n",
       "        max               88.000000          0.850000  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wino.describe()"
   ]
  },
  {
   "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>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quality</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>3</th>\n",
       "      <td>4.9</td>\n",
       "      <td>1.140</td>\n",
       "      <td>0.66</td>\n",
       "      <td>4.5</td>\n",
       "      <td>0.206</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>0.00609</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.46</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.9</td>\n",
       "      <td>0.900</td>\n",
       "      <td>1.00</td>\n",
       "      <td>11.6</td>\n",
       "      <td>0.565</td>\n",
       "      <td>38</td>\n",
       "      <td>112</td>\n",
       "      <td>0.00760</td>\n",
       "      <td>1.16</td>\n",
       "      <td>1.67</td>\n",
       "      <td>4.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10.9</td>\n",
       "      <td>1.150</td>\n",
       "      <td>0.79</td>\n",
       "      <td>14.3</td>\n",
       "      <td>0.572</td>\n",
       "      <td>65</td>\n",
       "      <td>149</td>\n",
       "      <td>0.01059</td>\n",
       "      <td>0.86</td>\n",
       "      <td>1.61</td>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>9.6</td>\n",
       "      <td>0.880</td>\n",
       "      <td>0.78</td>\n",
       "      <td>14.5</td>\n",
       "      <td>0.381</td>\n",
       "      <td>71</td>\n",
       "      <td>159</td>\n",
       "      <td>0.01362</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.55</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10.7</td>\n",
       "      <td>0.795</td>\n",
       "      <td>0.76</td>\n",
       "      <td>7.7</td>\n",
       "      <td>0.346</td>\n",
       "      <td>51</td>\n",
       "      <td>282</td>\n",
       "      <td>0.01256</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0.97</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7.6</td>\n",
       "      <td>0.590</td>\n",
       "      <td>0.69</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.042</td>\n",
       "      <td>39</td>\n",
       "      <td>76</td>\n",
       "      <td>0.00800</td>\n",
       "      <td>0.84</td>\n",
       "      <td>0.47</td>\n",
       "      <td>4.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         fixed acidity  volatile acidity  citric acid  residual sugar  \\\n",
       "quality                                                                 \n",
       "3                  4.9             1.140         0.66             4.5   \n",
       "4                  7.9             0.900         1.00            11.6   \n",
       "5                 10.9             1.150         0.79            14.3   \n",
       "6                  9.6             0.880         0.78            14.5   \n",
       "7                 10.7             0.795         0.76             7.7   \n",
       "8                  7.6             0.590         0.69             5.0   \n",
       "\n",
       "         chlorides  free sulfur dioxide  total sulfur dioxide  density    pH  \\\n",
       "quality                                                                        \n",
       "3            0.206                   31                    40  0.00609  0.47   \n",
       "4            0.565                   38                   112  0.00760  1.16   \n",
       "5            0.572                   65                   149  0.01059  0.86   \n",
       "6            0.381                   71                   159  0.01362  1.15   \n",
       "7            0.346                   51                   282  0.01256  0.86   \n",
       "8            0.042                   39                    76  0.00800  0.84   \n",
       "\n",
       "         sulphates  alcohol  \n",
       "quality                      \n",
       "3             0.46      2.6  \n",
       "4             1.67      4.1  \n",
       "5             1.61      6.4  \n",
       "6             1.55      5.6  \n",
       "7             0.97      4.8  \n",
       "8             0.47      4.2  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wino.agg(max_to_min)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quality</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>3</th>\n",
       "      <td>8.360000</td>\n",
       "      <td>0.884500</td>\n",
       "      <td>0.171000</td>\n",
       "      <td>2.635000</td>\n",
       "      <td>0.122500</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>24.900000</td>\n",
       "      <td>0.997464</td>\n",
       "      <td>3.398000</td>\n",
       "      <td>0.570000</td>\n",
       "      <td>9.955000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.779245</td>\n",
       "      <td>0.693962</td>\n",
       "      <td>0.174151</td>\n",
       "      <td>2.694340</td>\n",
       "      <td>0.090679</td>\n",
       "      <td>12.264151</td>\n",
       "      <td>36.245283</td>\n",
       "      <td>0.996542</td>\n",
       "      <td>3.381509</td>\n",
       "      <td>0.596415</td>\n",
       "      <td>10.265094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8.167254</td>\n",
       "      <td>0.577041</td>\n",
       "      <td>0.243686</td>\n",
       "      <td>2.528855</td>\n",
       "      <td>0.092736</td>\n",
       "      <td>16.983847</td>\n",
       "      <td>56.513950</td>\n",
       "      <td>0.997104</td>\n",
       "      <td>3.304949</td>\n",
       "      <td>0.620969</td>\n",
       "      <td>9.899706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8.347179</td>\n",
       "      <td>0.497484</td>\n",
       "      <td>0.273824</td>\n",
       "      <td>2.477194</td>\n",
       "      <td>0.084956</td>\n",
       "      <td>15.711599</td>\n",
       "      <td>40.869906</td>\n",
       "      <td>0.996615</td>\n",
       "      <td>3.318072</td>\n",
       "      <td>0.675329</td>\n",
       "      <td>10.629519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8.872362</td>\n",
       "      <td>0.403920</td>\n",
       "      <td>0.375176</td>\n",
       "      <td>2.720603</td>\n",
       "      <td>0.076588</td>\n",
       "      <td>14.045226</td>\n",
       "      <td>35.020101</td>\n",
       "      <td>0.996104</td>\n",
       "      <td>3.290754</td>\n",
       "      <td>0.741256</td>\n",
       "      <td>11.465913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8.566667</td>\n",
       "      <td>0.423333</td>\n",
       "      <td>0.391111</td>\n",
       "      <td>2.577778</td>\n",
       "      <td>0.068444</td>\n",
       "      <td>13.277778</td>\n",
       "      <td>33.444444</td>\n",
       "      <td>0.995212</td>\n",
       "      <td>3.267222</td>\n",
       "      <td>0.767778</td>\n",
       "      <td>12.094444</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         fixed acidity  volatile acidity  citric acid  residual sugar  \\\n",
       "quality                                                                 \n",
       "3             8.360000          0.884500     0.171000        2.635000   \n",
       "4             7.779245          0.693962     0.174151        2.694340   \n",
       "5             8.167254          0.577041     0.243686        2.528855   \n",
       "6             8.347179          0.497484     0.273824        2.477194   \n",
       "7             8.872362          0.403920     0.375176        2.720603   \n",
       "8             8.566667          0.423333     0.391111        2.577778   \n",
       "\n",
       "         chlorides  free sulfur dioxide  total sulfur dioxide   density  \\\n",
       "quality                                                                   \n",
       "3         0.122500            11.000000             24.900000  0.997464   \n",
       "4         0.090679            12.264151             36.245283  0.996542   \n",
       "5         0.092736            16.983847             56.513950  0.997104   \n",
       "6         0.084956            15.711599             40.869906  0.996615   \n",
       "7         0.076588            14.045226             35.020101  0.996104   \n",
       "8         0.068444            13.277778             33.444444  0.995212   \n",
       "\n",
       "               pH  sulphates    alcohol  \n",
       "quality                                  \n",
       "3        3.398000   0.570000   9.955000  \n",
       "4        3.381509   0.596415  10.265094  \n",
       "5        3.304949   0.620969   9.899706  \n",
       "6        3.318072   0.675329  10.629519  \n",
       "7        3.290754   0.741256  11.465913  \n",
       "8        3.267222   0.767778  12.094444  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wino.agg('mean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "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>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
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       "      <td>34</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25</td>\n",
       "      <td>67</td>\n",
       "      <td>0.9968</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15</td>\n",
       "      <td>54</td>\n",
       "      <td>0.9970</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17</td>\n",
       "      <td>60</td>\n",
       "      <td>0.9980</td>\n",
       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11</td>\n",
       "      <td>34</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "0            7.4              0.70         0.00             1.9      0.076   \n",
       "1            7.8              0.88         0.00             2.6      0.098   \n",
       "2            7.8              0.76         0.04             2.3      0.092   \n",
       "3           11.2              0.28         0.56             1.9      0.075   \n",
       "4            7.4              0.70         0.00             1.9      0.076   \n",
       "\n",
       "   free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "0                   11                    34   0.9978  3.51       0.56   \n",
       "1                   25                    67   0.9968  3.20       0.68   \n",
       "2                   15                    54   0.9970  3.26       0.65   \n",
       "3                   17                    60   0.9980  3.16       0.58   \n",
       "4                   11                    34   0.9978  3.51       0.56   \n",
       "\n",
       "   alcohol  quality  \n",
       "0      9.4        5  \n",
       "1      9.8        5  \n",
       "2      9.8        5  \n",
       "3      9.8        6  \n",
       "4      9.4        5  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dframe_wine.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dframe_wine['qual/alc ratio'] = dframe_wine['quality']/dframe_wine['alcohol']"
   ]
  },
  {
   "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>fixed acidity</th>\n",
       "      <th>volatile acidity</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>density</th>\n",
       "      <th>pH</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>quality</th>\n",
       "      <th>qual/alc ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11</td>\n",
       "      <td>34</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "      <td>0.531915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.6</td>\n",
       "      <td>0.098</td>\n",
       "      <td>25</td>\n",
       "      <td>67</td>\n",
       "      <td>0.9968</td>\n",
       "      <td>3.20</td>\n",
       "      <td>0.68</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "      <td>0.510204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.8</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.04</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.092</td>\n",
       "      <td>15</td>\n",
       "      <td>54</td>\n",
       "      <td>0.9970</td>\n",
       "      <td>3.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>9.8</td>\n",
       "      <td>5</td>\n",
       "      <td>0.510204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.56</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.075</td>\n",
       "      <td>17</td>\n",
       "      <td>60</td>\n",
       "      <td>0.9980</td>\n",
       "      <td>3.16</td>\n",
       "      <td>0.58</td>\n",
       "      <td>9.8</td>\n",
       "      <td>6</td>\n",
       "      <td>0.612245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.4</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.076</td>\n",
       "      <td>11</td>\n",
       "      <td>34</td>\n",
       "      <td>0.9978</td>\n",
       "      <td>3.51</td>\n",
       "      <td>0.56</td>\n",
       "      <td>9.4</td>\n",
       "      <td>5</td>\n",
       "      <td>0.531915</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   fixed acidity  volatile acidity  citric acid  residual sugar  chlorides  \\\n",
       "0            7.4              0.70         0.00             1.9      0.076   \n",
       "1            7.8              0.88         0.00             2.6      0.098   \n",
       "2            7.8              0.76         0.04             2.3      0.092   \n",
       "3           11.2              0.28         0.56             1.9      0.075   \n",
       "4            7.4              0.70         0.00             1.9      0.076   \n",
       "\n",
       "   free sulfur dioxide  total sulfur dioxide  density    pH  sulphates  \\\n",
       "0                   11                    34   0.9978  3.51       0.56   \n",
       "1                   25                    67   0.9968  3.20       0.68   \n",
       "2                   15                    54   0.9970  3.26       0.65   \n",
       "3                   17                    60   0.9980  3.16       0.58   \n",
       "4                   11                    34   0.9978  3.51       0.56   \n",
       "\n",
       "   alcohol  quality  qual/alc ratio  \n",
       "0      9.4        5        0.531915  \n",
       "1      9.8        5        0.510204  \n",
       "2      9.8        5        0.510204  \n",
       "3      9.8        6        0.612245  \n",
       "4      9.4        5        0.531915  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dframe_wine.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>alcohol</th>\n",
       "      <th>chlorides</th>\n",
       "      <th>citric acid</th>\n",
       "      <th>density</th>\n",
       "      <th>fixed acidity</th>\n",
       "      <th>free sulfur dioxide</th>\n",
       "      <th>pH</th>\n",
       "      <th>qual/alc ratio</th>\n",
       "      <th>residual sugar</th>\n",
       "      <th>sulphates</th>\n",
       "      <th>total sulfur dioxide</th>\n",
       "      <th>volatile acidity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quality</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>3</th>\n",
       "      <td>9.955000</td>\n",
       "      <td>0.122500</td>\n",
       "      <td>0.171000</td>\n",
       "      <td>0.997464</td>\n",
       "      <td>8.360000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>3.398000</td>\n",
       "      <td>0.303286</td>\n",
       "      <td>2.635000</td>\n",
       "      <td>0.570000</td>\n",
       "      <td>24.900000</td>\n",
       "      <td>0.884500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10.265094</td>\n",
       "      <td>0.090679</td>\n",
       "      <td>0.174151</td>\n",
       "      <td>0.996542</td>\n",
       "      <td>7.779245</td>\n",
       "      <td>12.264151</td>\n",
       "      <td>3.381509</td>\n",
       "      <td>0.392724</td>\n",
       "      <td>2.694340</td>\n",
       "      <td>0.596415</td>\n",
       "      <td>36.245283</td>\n",
       "      <td>0.693962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9.899706</td>\n",
       "      <td>0.092736</td>\n",
       "      <td>0.243686</td>\n",
       "      <td>0.997104</td>\n",
       "      <td>8.167254</td>\n",
       "      <td>16.983847</td>\n",
       "      <td>3.304949</td>\n",
       "      <td>0.507573</td>\n",
       "      <td>2.528855</td>\n",
       "      <td>0.620969</td>\n",
       "      <td>56.513950</td>\n",
       "      <td>0.577041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10.629519</td>\n",
       "      <td>0.084956</td>\n",
       "      <td>0.273824</td>\n",
       "      <td>0.996615</td>\n",
       "      <td>8.347179</td>\n",
       "      <td>15.711599</td>\n",
       "      <td>3.318072</td>\n",
       "      <td>0.569801</td>\n",
       "      <td>2.477194</td>\n",
       "      <td>0.675329</td>\n",
       "      <td>40.869906</td>\n",
       "      <td>0.497484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>11.465913</td>\n",
       "      <td>0.076588</td>\n",
       "      <td>0.375176</td>\n",
       "      <td>0.996104</td>\n",
       "      <td>8.872362</td>\n",
       "      <td>14.045226</td>\n",
       "      <td>3.290754</td>\n",
       "      <td>0.614855</td>\n",
       "      <td>2.720603</td>\n",
       "      <td>0.741256</td>\n",
       "      <td>35.020101</td>\n",
       "      <td>0.403920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>12.094444</td>\n",
       "      <td>0.068444</td>\n",
       "      <td>0.391111</td>\n",
       "      <td>0.995212</td>\n",
       "      <td>8.566667</td>\n",
       "      <td>13.277778</td>\n",
       "      <td>3.267222</td>\n",
       "      <td>0.668146</td>\n",
       "      <td>2.577778</td>\n",
       "      <td>0.767778</td>\n",
       "      <td>33.444444</td>\n",
       "      <td>0.423333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           alcohol  chlorides  citric acid   density  fixed acidity  \\\n",
       "quality                                                               \n",
       "3         9.955000   0.122500     0.171000  0.997464       8.360000   \n",
       "4        10.265094   0.090679     0.174151  0.996542       7.779245   \n",
       "5         9.899706   0.092736     0.243686  0.997104       8.167254   \n",
       "6        10.629519   0.084956     0.273824  0.996615       8.347179   \n",
       "7        11.465913   0.076588     0.375176  0.996104       8.872362   \n",
       "8        12.094444   0.068444     0.391111  0.995212       8.566667   \n",
       "\n",
       "         free sulfur dioxide        pH  qual/alc ratio  residual sugar  \\\n",
       "quality                                                                  \n",
       "3                  11.000000  3.398000        0.303286        2.635000   \n",
       "4                  12.264151  3.381509        0.392724        2.694340   \n",
       "5                  16.983847  3.304949        0.507573        2.528855   \n",
       "6                  15.711599  3.318072        0.569801        2.477194   \n",
       "7                  14.045226  3.290754        0.614855        2.720603   \n",
       "8                  13.277778  3.267222        0.668146        2.577778   \n",
       "\n",
       "         sulphates  total sulfur dioxide  volatile acidity  \n",
       "quality                                                     \n",
       "3         0.570000             24.900000          0.884500  \n",
       "4         0.596415             36.245283          0.693962  \n",
       "5         0.620969             56.513950          0.577041  \n",
       "6         0.675329             40.869906          0.497484  \n",
       "7         0.741256             35.020101          0.403920  \n",
       "8         0.767778             33.444444          0.423333  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dframe_wine.pivot_table(index=['quality'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x80b1908>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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l5G7zlO4zaULYVOWpp57CVTLdBNzij+N8e/wdOXKEbPG79vgLvRQHFN6WkPme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\n1gEYY0yBsg7AGGMKlHUAxhhToP4/w5K7SEDiMEAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x81ce358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dframe_wine.plot(kind='scatter',x='quality',y='alcohol')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x97d75f8>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x959c160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dframe_wine.plot(kind='hist',x='quality',y='alcohol')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}