April2018.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/scott/anaconda/lib/python3.6/site-packages/statsmodels/compat/pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.\n",
      "  from pandas.core import datetools\n"
     ]
    }
   ],
   "source": [
    "%config InlineBackend.figure_format = 'retina'\n",
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "import scipy as sp\n",
    "from scipy import stats\n",
    "import matplotlib.pyplot as plt\n",
    "import statsmodels.api as sm\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import util\n",
    "\n",
    "pd.options.display.max_columns=25\n",
    "sns.set_style('white')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Location</th>\n",
       "      <th>Burrito</th>\n",
       "      <th>Date</th>\n",
       "      <th>Cost</th>\n",
       "      <th>Hunger</th>\n",
       "      <th>Mass (g)</th>\n",
       "      <th>Density (g/mL)</th>\n",
       "      <th>Length</th>\n",
       "      <th>Circum</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Tortilla</th>\n",
       "      <th>Temp</th>\n",
       "      <th>Meat</th>\n",
       "      <th>Fillings</th>\n",
       "      <th>Meat:filling</th>\n",
       "      <th>Uniformity</th>\n",
       "      <th>Salsa</th>\n",
       "      <th>Synergy</th>\n",
       "      <th>Wrap</th>\n",
       "      <th>overall</th>\n",
       "      <th>Rec</th>\n",
       "      <th>Reviewer</th>\n",
       "      <th>Notes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>el rey moro</td>\n",
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       "      <td>8/20/2017</td>\n",
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       "      <td>el rey moro</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>emily</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>341</th>\n",
       "      <td>taco villa</td>\n",
       "      <td>carnitas</td>\n",
       "      <td>8/25/2017</td>\n",
       "      <td>5.99</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
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       "      <td>0.74</td>\n",
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       "      <th>342</th>\n",
       "      <td>taco villa</td>\n",
       "      <td>carne asada</td>\n",
       "      <td>8/25/2017</td>\n",
       "      <td>6.99</td>\n",
       "      <td>3.5</td>\n",
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       "      <td>4.30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nuttida</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>343</th>\n",
       "      <td>los tacos</td>\n",
       "      <td>local</td>\n",
       "      <td>9/4/2017</td>\n",
       "      <td>8.50</td>\n",
       "      <td>3.5</td>\n",
       "      <td>540.0</td>\n",
       "      <td>0.683544</td>\n",
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       "      <td>0.79</td>\n",
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       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>los tacos</td>\n",
       "      <td>local</td>\n",
       "      <td>9/4/2017</td>\n",
       "      <td>8.50</td>\n",
       "      <td>3.5</td>\n",
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       "      <td>0.613636</td>\n",
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       "      <td>0.88</td>\n",
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       "      <td>4.2</td>\n",
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       "      <td>4.8</td>\n",
       "      <td>4.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>emily</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>rigoberto's taco shop</td>\n",
       "      <td>california</td>\n",
       "      <td>9/5/2017</td>\n",
       "      <td>6.85</td>\n",
       "      <td>3.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>22.5</td>\n",
       "      <td>0.91</td>\n",
       "      <td>3.0</td>\n",
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       "      <td>3.8</td>\n",
       "      <td>3.8</td>\n",
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       "      <td>3.5</td>\n",
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       "      <td>4.10</td>\n",
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       "      <td>scott</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>rigoberto's taco shop</td>\n",
       "      <td>california</td>\n",
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       "      <td>6.85</td>\n",
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       "      <td>22.2</td>\n",
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       "      <td>sage</td>\n",
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       "      <th>347</th>\n",
       "      <td>taco stand</td>\n",
       "      <td>california</td>\n",
       "      <td>12/29/2017</td>\n",
       "      <td>7.89</td>\n",
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       "      <th>348</th>\n",
       "      <td>taco stand</td>\n",
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       "      <td>12/29/2017</td>\n",
       "      <td>7.89</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>ben s</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>lolita's taco shop</td>\n",
       "      <td>california</td>\n",
       "      <td>1/2/2018</td>\n",
       "      <td>7.25</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
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       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Y</td>\n",
       "      <td>ben s</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>los tacos 2</td>\n",
       "      <td>local</td>\n",
       "      <td>1/12/2018</td>\n",
       "      <td>8.50</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
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       "      <td>3.00</td>\n",
       "      <td>N</td>\n",
       "      <td>scott</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>rigoberto's taco shop</td>\n",
       "      <td>carne asada</td>\n",
       "      <td>4/4/2018</td>\n",
       "      <td>7.20</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.5</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>han mee</td>\n",
       "      <td>Meat is cooked well with good overall flavor, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>taco villa</td>\n",
       "      <td>carnitas</td>\n",
       "      <td>4/9/2018</td>\n",
       "      <td>5.99</td>\n",
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       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>taco villa</td>\n",
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       "      <td>4/9/2018</td>\n",
       "      <td>5.99</td>\n",
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       "      <td>nuttida</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>taco villa</td>\n",
       "      <td>carnitas</td>\n",
       "      <td>4/9/2018</td>\n",
       "      <td>5.99</td>\n",
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       "      <td>3.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>elynn</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>mikes taco club</td>\n",
       "      <td>california</td>\n",
       "      <td>4/14/2018</td>\n",
       "      <td>8.99</td>\n",
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       "      <td>scott</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>mikes taco club</td>\n",
       "      <td>california</td>\n",
       "      <td>4/14/2018</td>\n",
       "      <td>8.99</td>\n",
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       "      <td>2.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3.80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>sage</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>taco villa</td>\n",
       "      <td>chile verde (pork)</td>\n",
       "      <td>4/16/2018</td>\n",
       "      <td>5.99</td>\n",
       "      <td>3.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>21.5</td>\n",
       "      <td>0.63</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>scott</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>el zarape</td>\n",
       "      <td>supreme chicken</td>\n",
       "      <td>4/16/2018</td>\n",
       "      <td>7.50</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.69</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>tom</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Location             Burrito        Date  Cost  Hunger  \\\n",
       "339            el rey moro           hashbrown   8/20/2017  6.47     4.0   \n",
       "340            el rey moro           hashbrown   8/20/2017  8.94     3.5   \n",
       "341             taco villa            carnitas   8/25/2017  5.99     2.0   \n",
       "342             taco villa         carne asada   8/25/2017  6.99     3.5   \n",
       "343              los tacos               local    9/4/2017  8.50     3.5   \n",
       "344              los tacos               local    9/4/2017  8.50     3.5   \n",
       "345  rigoberto's taco shop          california    9/5/2017  6.85     3.5   \n",
       "346  rigoberto's taco shop          california    9/5/2017  6.85     3.5   \n",
       "347             taco stand          california  12/29/2017  7.89     4.0   \n",
       "348             taco stand          california  12/29/2017  7.89     5.0   \n",
       "349     lolita's taco shop          california    1/2/2018  7.25     4.0   \n",
       "350            los tacos 2               local   1/12/2018  8.50     4.0   \n",
       "351  rigoberto's taco shop         carne asada    4/4/2018  7.20     3.0   \n",
       "352             taco villa            carnitas    4/9/2018  5.99     3.0   \n",
       "353             taco villa            carnitas    4/9/2018  5.99     3.5   \n",
       "354             taco villa            carnitas    4/9/2018  5.99     2.0   \n",
       "355        mikes taco club          california   4/14/2018  8.99     4.0   \n",
       "356        mikes taco club          california   4/14/2018  8.99     4.0   \n",
       "357             taco villa  chile verde (pork)   4/16/2018  5.99     3.5   \n",
       "358              el zarape     supreme chicken   4/16/2018  7.50     4.0   \n",
       "\n",
       "     Mass (g)  Density (g/mL)  Length  Circum  Volume  Tortilla  Temp  Meat  \\\n",
       "339     450.0        0.625000    22.5    20.0    0.72       3.0   3.0   2.0   \n",
       "340       NaN             NaN    21.5    22.0    0.83       2.5   3.5   3.5   \n",
       "341       NaN             NaN    20.0    21.5    0.74       2.0   2.5   4.0   \n",
       "342       NaN             NaN     NaN     NaN     NaN       4.0   4.0   4.0   \n",
       "343     540.0        0.683544    21.5    21.5    0.79       3.5   4.0   4.5   \n",
       "344     540.0        0.613636    21.0    23.0    0.88       4.0   4.0   4.0   \n",
       "345       NaN             NaN    22.5    22.5    0.91       3.0   4.5   3.8   \n",
       "346       NaN             NaN    22.2    22.5    0.89       3.0   4.5   4.0   \n",
       "347       NaN             NaN    19.0    23.0    0.80       4.0   3.0   4.0   \n",
       "348       NaN             NaN    20.0    21.5    0.74       5.0   5.0   5.0   \n",
       "349       NaN             NaN     NaN     NaN     NaN       4.0   5.0   4.0   \n",
       "350       NaN             NaN    21.0    23.5    0.92       4.0   4.0   3.0   \n",
       "351       NaN             NaN    24.5    22.7    1.00       4.0   5.0   4.0   \n",
       "352       NaN             NaN    20.0    23.0    0.84       3.5   5.0   4.3   \n",
       "353       NaN             NaN    17.5    24.0    0.80       4.0   4.5   5.0   \n",
       "354       NaN             NaN    19.0    24.5    0.91       2.0   3.5   4.5   \n",
       "355       NaN             NaN    25.0    23.0    1.05       4.5   4.5   4.0   \n",
       "356       NaN             NaN    24.0    22.0    0.92       4.5   5.0   3.5   \n",
       "357       NaN             NaN    17.0    21.5    0.63       4.0   4.5   3.5   \n",
       "358       NaN             NaN    18.0    22.0    0.69       4.0   4.0   3.5   \n",
       "\n",
       "     Fillings  Meat:filling  Uniformity  Salsa  Synergy  Wrap  overall  Rec  \\\n",
       "339       2.5           1.5         2.5    2.5      3.0   5.0     3.20  NaN   \n",
       "340       3.5           3.5         4.0    3.0      3.5   4.5     3.80  NaN   \n",
       "341       3.0           4.0         3.5    3.0      3.0   5.0     3.80  NaN   \n",
       "342       4.5           4.0         3.5    4.0      4.0   4.0     4.30  NaN   \n",
       "343       4.0           3.0         4.0    3.5      4.5   5.0     4.30  NaN   \n",
       "344       4.5           4.2         4.5    4.0      4.5   4.8     4.50  NaN   \n",
       "345       3.8           4.0         3.5    3.5      4.0   3.0     4.10  NaN   \n",
       "346       4.0           4.5         3.0    4.0      4.0   3.5     4.25  NaN   \n",
       "347       4.0           3.0         4.0    3.5      4.3   4.5     4.20  NaN   \n",
       "348       5.0           4.0         4.0    5.0      5.0   3.0     4.50  NaN   \n",
       "349       5.0           5.0         3.0    3.0      4.0   5.0     3.50    Y   \n",
       "350       3.5           1.0         2.0    3.0      3.0   1.0     3.00    N   \n",
       "351       3.0           3.0         3.0    4.0      3.0   4.0     4.00  NaN   \n",
       "352       3.5           5.0         4.0    3.0      3.8   2.0     4.10  NaN   \n",
       "353       4.5           5.0         4.0    4.0      4.5   4.0     4.00  NaN   \n",
       "354       4.0           4.0         2.0    3.0      4.0   2.0     3.50  NaN   \n",
       "355       4.0           3.0         4.0    3.5      4.0   3.0     4.20  NaN   \n",
       "356       4.0           4.0         4.0    NaN      2.5   1.5     3.80  NaN   \n",
       "357       3.0           4.5         3.0    3.0      2.5   2.5     3.60  NaN   \n",
       "358       4.2           4.5         4.3    3.0      4.0   4.5     3.80  NaN   \n",
       "\n",
       "    Reviewer                                              Notes  \n",
       "339    scott                                                NaN  \n",
       "340    emily                                                NaN  \n",
       "341    scott                                                NaN  \n",
       "342  nuttida                                                NaN  \n",
       "343    scott                                                NaN  \n",
       "344    emily                                                NaN  \n",
       "345    scott                                                NaN  \n",
       "346     sage                                                NaN  \n",
       "347    scott                                                NaN  \n",
       "348    ben s                                                NaN  \n",
       "349    ben s                                                NaN  \n",
       "350    scott                                                NaN  \n",
       "351  han mee  Meat is cooked well with good overall flavor, ...  \n",
       "352    scott                                                NaN  \n",
       "353  nuttida                                                NaN  \n",
       "354    elynn                                                NaN  \n",
       "355    scott                                                NaN  \n",
       "356     sage                                                NaN  \n",
       "357    scott                                                NaN  \n",
       "358      tom                                                NaN  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df, df_shops, df_ingredients = util.load_burritos()\n",
    "df.tail(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analyze correlations between features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hunger Tortilla 0.16210460792504133 0.0034843054965283957\n",
      "Cost Volume 0.29343406064587807 8.762985204375658e-06\n",
      "Volume Cost 0.29343406064587807 8.762985204375658e-06\n",
      "Tortilla overall 0.37109157164009765 5.536908530915314e-12\n",
      "Temp overall 0.27270908437729424 9.65351976119145e-07\n",
      "Meat overall 0.6826934469305921 5.733970606690913e-45\n",
      "Fillings overall 0.667096617954374 1.0872797135089455e-42\n",
      "Meat:filling Uniformity 0.4539582295725544 1.1296865519642829e-17\n",
      "Uniformity Meat:filling 0.4539582295725544 1.1296865519642829e-17\n",
      "Salsa overall 0.43919714798198983 5.290476487395816e-16\n",
      "Wrap Uniformity 0.24395645621584505 9.223545606661328e-06\n",
      "overall Meat 0.6826934469305921 5.733970606690913e-45\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/scott/anaconda/lib/python3.6/site-packages/ipykernel_launcher.py:17: FutureWarning: 'argmax' is deprecated. Use 'idxmax' instead. The behavior of 'argmax' will be corrected to return the positional maximum in the future. Use 'series.values.argmax' to get the position of the maximum now.\n"
     ]
    }
   ],
   "source": [
    "# Throw out outlier data\n",
    "df_use = df.copy()\n",
    "df_use = df_use[df_use['Cost'] < 9]\n",
    "df_use = df_use[df_use['Cost'] > 5]\n",
    "df_use = df_use[np.logical_or(df_use['Volume'] < 1.5, df_use['Volume'].isnull())]\n",
    "df_use = df_use[np.logical_or(df_use['Volume'] > 0.5, df_use['Volume'].isnull())]\n",
    "\n",
    "# Compute correlation matrix\n",
    "m_corr = ['Hunger','Cost','Volume','Tortilla','Temp','Meat','Fillings','Meat:filling',\n",
    "               'Uniformity','Salsa','Wrap','overall']\n",
    "dfcorr = df_use[m_corr].corr(method='spearman')\n",
    "for feat in m_corr:\n",
    "    dfcorr.loc[feat, feat] = np.nan\n",
    "\n",
    "# Determine the most highly correlated feature for each other feature\n",
    "for feat in m_corr:\n",
    "    feat2 = dfcorr[feat].argmax()\n",
    "    print(feat, feat2,\n",
    "          stats.spearmanr(df_use[feat], df_use[feat2], nan_policy='omit')[0],\n",
    "          stats.spearmanr(df_use[feat], df_use[feat2], nan_policy='omit')[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hunger overall 0.1906135094874499 0.10623675128266782\n",
      "Cost Volume 0.34080656185919345 0.010161270954420399\n",
      "Volume Fillings 0.3938653451811347 0.0026701207235313084\n",
      "Tortilla overall 0.4127566947906524 0.00028457431947815753\n",
      "Temp overall 0.3583067369368642 0.0018545990253249693\n",
      "Meat overall 0.7624672910746544 4.611620317174234e-15\n",
      "Fillings overall 0.7110817649106437 1.8023795307310645e-12\n",
      "Meat:filling overall 0.39708846399657693 0.000504506179823083\n",
      "Uniformity Meat:filling 0.38086284025525136 0.0008868463561284776\n",
      "Salsa overall 0.6152414486921529 1.1364496418831473e-08\n",
      "Wrap Meat:filling 0.19620579816653339 0.09617987176850994\n",
      "overall Meat 0.7624672910746545 4.611620317174183e-15\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/scott/anaconda/lib/python3.6/site-packages/ipykernel_launcher.py:9: FutureWarning: 'argmax' is deprecated. Use 'idxmax' instead. The behavior of 'argmax' will be corrected to return the positional maximum in the future. Use 'series.values.argmax' to get the position of the maximum now.\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "# Compute correlation matrix for restaurants\n",
    "df_rest = df_use.groupby('Location')[m_corr].mean()\n",
    "df_rest_corr = df_rest.corr(method='spearman')\n",
    "for feat in m_corr:\n",
    "    df_rest_corr.loc[feat, feat] = np.nan\n",
    "\n",
    "# Determine the most highly correlated feature for each other feature\n",
    "for feat in m_corr:\n",
    "    feat2 = df_rest_corr[feat].argmax()\n",
    "    print(feat, feat2,\n",
    "          stats.spearmanr(df_rest[feat], df_rest[feat2], nan_policy='omit')[0],\n",
    "          stats.spearmanr(df_rest[feat], df_rest[feat2], nan_policy='omit')[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SpearmanrResult(correlation=0.38306617119655706, pvalue=0.0008228287383089586)\n",
      "SpearmanrResult(correlation=0.32647941680960546, pvalue=masked_array(data=2.33404376e-09,\n",
      "             mask=False,\n",
      "       fill_value=1e+20))\n",
      "SpearmanrResult(correlation=0.3142069793566162, pvalue=0.006785733773543565)\n",
      "SpearmanrResult(correlation=0.23210877303489297, pvalue=masked_array(data=2.74991078e-05,\n",
      "             mask=False,\n",
      "       fill_value=1e+20))\n",
      "SpearmanrResult(correlation=0.5392488246465236, pvalue=8.55121559814433e-07)\n",
      "SpearmanrResult(correlation=0.5154888899544903, pvalue=masked_array(data=5.51016363e-23,\n",
      "             mask=False,\n",
      "       fill_value=1e+20))\n"
     ]
    }
   ],
   "source": [
    "print(stats.spearmanr(df_rest['Meat'], df_rest['Meat:filling'], nan_policy='omit'))\n",
    "print(stats.spearmanr(df_use['Meat'], df_use['Meat:filling'], nan_policy='omit'))\n",
    "\n",
    "print(stats.spearmanr(df_rest['Fillings'], df_rest['Meat:filling'], nan_policy='omit'))\n",
    "print(stats.spearmanr(df_use['Fillings'], df_use['Meat:filling'], nan_policy='omit'))\n",
    "\n",
    "print(stats.spearmanr(df_rest['Fillings'], df_rest['Meat'], nan_policy='omit'))\n",
    "print(stats.spearmanr(df_use['Fillings'], df_use['Meat'], nan_policy='omit'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lucha libre north park SpearmanrResult(correlation=0.6442307692307692, pvalue=masked_array(data=0.00050982,\n",
      "             mask=False,\n",
      "       fill_value=1e+20))\n",
      "california burritos SpearmanrResult(correlation=0.3976923076923077, pvalue=masked_array(data=0.04898446,\n",
      "             mask=False,\n",
      "       fill_value=1e+20))\n",
      "taco stand SpearmanrResult(correlation=0.6066001081279933, pvalue=0.0021497096741461635)\n",
      "rigoberto's taco shop SpearmanrResult(correlation=0.8711038961038962, pvalue=masked_array(data=2.77093743e-07,\n",
      "             mask=False,\n",
      "       fill_value=1e+20))\n",
      "taco villa SpearmanrResult(correlation=0.19504032011921774, pvalue=0.45315359285856793)\n"
     ]
    }
   ],
   "source": [
    "# within taco shop studies\n",
    "most_places = df_use['Location'].value_counts().index[:5]\n",
    "for r in most_places:\n",
    "    df_temp = df_use[df_use['Location']==r]\n",
    "    print(r, stats.spearmanr(df_temp['Fillings'], df_temp['Meat'], nan_policy='omit'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Average overall rating')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 317,
       "width": 329
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 317,
       "width": 329
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,5))\n",
    "plt.plot(df_rest['Meat'], df_rest['overall'], 'k.')\n",
    "plt.xlim((1,5.1))\n",
    "plt.ylim((1,5.1))\n",
    "plt.plot([1,5], [1,5], 'k--')\n",
    "plt.xlabel('Average meat rating', size=15)\n",
    "plt.ylabel('Average overall rating', size=15)\n",
    "\n",
    "plt.figure(figsize=(5,5))\n",
    "plt.plot(df_rest['Temp'], df_rest['overall'], 'k.')\n",
    "plt.xlim((.9,5.1))\n",
    "plt.ylim((.9,5.1))\n",
    "plt.plot([1,5], [1,5], 'k--')\n",
    "plt.xlabel('Average temperature rating', size=15)\n",
    "plt.ylabel('Average overall rating', size=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### dendrogram to cluster burritos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0x1c145237b8>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 720x1440 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 609,
       "width": 592
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,20))\n",
    "m_corr = ['Hunger','Tortilla','Temp','Meat','Fillings','Meat:filling','Uniformity','Salsa','Wrap','overall']\n",
    "sns.clustermap(df_use[m_corr].dropna())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 720x1440 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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BAAAAoObZ7fR1zj777CTJwoUL097+antfuVzOggULkiQzZ87c49zhw4dn2rRpefrpp3PDDTd0HN+xY0e++MUvJknOPffcbi03AAAAALXHbqevc8opp2TatGlZsWJFZs6cmUmTJuXee+/NmjVrMnXq1Jx22mkd515zzTVJkksvvbTj2N/93d/lvvvuy5e//OWsWrUqxx13XO6666488sgjmTZtWk4//fQDfUsAAAAchBoaGtLS0lLtMjoplUrVLqGT+vr6NDc3V7sM+rhSuVzuVox24pe+09O1FG71J86v6LwdO3bkhhtuyLJly7Jp06aMGTMmZ555Zi6++OLU1dV1nLfrEdJ169Z1mt/S0pJrr702P/7xj9Pc3JyxY8fmfe97Xy666KL079+/524IerlSqZRu/hFzULFOtcv3jp7k54la5ucXeie/N/fNGnEgdD98++caDN+urCx8A3qGv8gqY51ql+8dPcnPE7XMzy/0Tn5v7ps14kCw2ykAAAAAFGQ/3vkmGQYAAACAvdH5BgAAAAAFsdspAAAAABSk++HbTukbAAAAAOyNzjcAAAAAKEi3w7eS8A0AAAAA9mo/NlyQvgEAAADA3njsFAAAAAAKovMNAAAAAAqi8w0AAAAACtL98G2n9A0AAAAA9kbnGwA1oaGhIS0tLdUuYzelUqnaJXRSX1+f5ubmapcBAAD8P/vxzrcerAIA9qGlpSXlsn/52ZfeFgYCAMDBrtvhW8n/AQIAAACAvdL5BgAcdDzGXBmPMQMA7D/hGwBw0PEYc2V6WxgIAFCL9iN88x+sAAAAALA3/bo9s1yDnwq1tbXlm9/8ZqZNm5YJEybk9NNPz7XXXpsdO3b8cWuUZOfOnXn/+9+fxsbGP3ouAAAAALWt+xsu9OHHTufPn5+lS5dm4sSJmTJlStauXZvFixdn3bp1Wbx48R91rW9961u5//77C6oUAAAAgN7MY6evs3bt2ixdujRTp07NokWLUiqVUi6XM3fu3CxfvjwrV67M5MmTK7rWE088kUWLFhVcMQAAAAC9VfcfO22vwU8FlixZkiSZM2dOx0uGS6VSLr/88pRKpdxyyy0VXadcLufTn/50Dj/88IwfP76yLw4AAABAn9Lt8K1ULtfcpxJr1qxJfX19jj322E7HR48enfHjx2f16tUVXee73/1uVq1alc9+9rMZPHjwH72+AAAAANQ+nW+v0dramo0bN+aII47ocnzs2LF58cUX09zcvNfrPPPMM/niF7+Y973vfTn55JP3/YUBAAAA6JO88+01Nm/enCQZPnx4l+O7jm/ZsiUNDQ17vM68efMydOjQ/N3f/V3PFwkAQK/S0NCQlpaWapdRdbte2XIwqq+v3+c/0ANw8LLb6Wu0tbUlSerq6roc33V8+/bte7zG8uXL8/Of/zyLFy/OiBEjer5IAAB6lZaWlpQrfMUJfdPBHDwCsG/dD9/64H9g7Ho3244dO7ocb21tTZIMGTKky/Hnn38+X/jCF/Lud787U6dOLaZIAAAAAGpG9x873dn3wrdhw4alX79+2bp1a5fjW7ZsSbLnx1Lnz5+fnTt3Zt68eYXVCAAAAEDt2I/Ot54so3eoq6vLmDFj0tTU1OV4U1NTGhoaMnLkyC7Hf/SjHyVJ3vGOd3Q53tjYmLFjx+Y//uM/eqZgAAAAAHq1/dhwoQ++9C3JxIkTc+utt2b9+vU58sgjO45v2rQpjz/+eCZPnrzHuXPmzOny+He/+908//zzmTNnzh675gAAAADoe3S+vc7ZZ5+dW2+9NQsXLsyXv/zl9OvXL+VyOQsWLEiSzJw5c49zL7300i6P//u//3uef/75PY4DAAAA0Dd1P3zb2Tc730455ZRMmzYtK1asyMyZMzNp0qTce++9WbNmTaZOnZrTTjut49xrrrkmyZ5DNwAAAAAObt1/7LQP7na6yz//8z/nz/7sz7Js2bJ861vfypgxY/LRj340F198cadtxL/yla8kEb4BAAAA0LVSudy9FO2d51zX07UU7mfLPlztEuCgUiqV0s0/Yg4q1qky1qky1qky1qky1qky1gk/A/RWfjb3zRpxIHS/862PPnYKAAAAAD1lPzZckAwDAAAAwN50v/OtfWcPlgEAAAAAfY/ONwAAAAAoiM43AAAAAChI98M3nW8AAAAAsFfdf+x0p843AAAAANib/eh8a+/BMgAAAACg7/HONwAAAAAoiM43AAAAACjIfoRvOt8AAAAAYG90vgEAAABAQbodvpW98w0AAAAA9krnGwAAAAAUZD92O23rwTIAAAAAoO/p/mOnOt8AAAAAYK/sdgoAAAAABdH5BgAAAAAF8c43AAAAACjIfnS+lXuyjl6lra0tN910U26++eY0NTVl1KhRmTFjRi655JIMHDhwn/MfeuihXHfddbnnnnvy0ksv5Y1vfGPOOOOMfPjDH87QoUMPwB0AAAAA0BvsR/jWdzvf5s+fn6VLl2bixImZMmVK1q5dm8WLF2fdunVZvHjxXufefffdmT17dpJk6tSpOfzww7N69ep89atfzd13350lS5Zk0KBBB+I2AAAAAKiy/dhwoW++823t2rVZunRppk6dmkWLFqVUKqVcLmfu3LlZvnx5Vq5cmcmTJ+9x/mc+85mUy+V85zvfyYQJE5K82iU4b9683Hzzzfn2t7+diy666EDdDgAAAABV1K+7E8vtO2vuU4klS5YkSebMmZNSqZQkKZVKufzyy1MqlXLLLbfsce5//dd/5Xe/+11OP/30juBt1/yPfOQjSZKf//zn3V1yAAAAAGqMzrfXWbNmTerr63Psscd2Oj569OiMHz8+q1ev3uPcYcOG5ROf+MRuc5Okrq4uSbJt27aeLRgAAACAXms/3vlWWSdZLWltbc3GjRtz/PHHdzk+duzYrF+/Ps3NzWloaNht/I1vfGMuvvjiLuf++Mc/TpL82Z/9Wc8VDAAAAECvth/hW9/rfNu8eXOSZPjw4V2O7zq+ZcuWLsO3PXn++ec7NmqYOXPmflYJAAAAQK0Qvr1GW9urO7juekT09XYd3759e8XX3LJlSy655JI8//zzmTVrVqd3wQEAwMGioaEhLS0t1S6jMLveF90X1dfXp7m5udplANSs7odvFW5gUEsGDx6cJNmxY0eX462trUmSIUOGVHS95ubmzJ49Ow8//HAmT56cuXPn9kyhAABQY1paWlIul6tdBt3Ql4NFgAOh+xsupO91vg0bNiz9+vXL1q1buxzfsmVLkj0/lvpaGzZsyIc+9KFs2LAhU6ZMyaJFizJgwH4sNwAAAAA1p9tpUHsf7Hyrq6vLmDFj0tTU1OV4U1NTGhoaMnLkyL1e55FHHsmHPvShvPDCCznnnHPyj//4j4I3AAAAgINQv27PLLfX3qcCEydOzHPPPZf169d3Or5p06Y8/vjje9wJdZcnnngiH/zgB/PCCy/koosuyhe+8AXBGwAAAMBBqtvhW7m8s+Y+lTj77LOTJAsXLkx7e/v/u9dyFixYkGTvu5W2t7fn8ssvT3Nzcz7wgQ9k7ty53o8AAAAAcBCz2+nrnHLKKZk2bVpWrFiRmTNnZtKkSbn33nuzZs2aTJ06NaeddlrHuddcc02S5NJLL02S/Pu//3seeuih1NXVZejQoR3jr3XYYYfl/PPPPyD3AgAAAEB1lcrd3HLobUed3tO1FG7t735S0Xk7duzIDTfckGXLlmXTpk0ZM2ZMzjzzzFx88cWpq6vrOK+xsTFJsm7duiTJ5z73udx44417vfZxxx2XW2+9tZt3ALWlVCrZ1awC1qky1qky1qky1qky1qky1qky1ql2+d7VLt+7fbNGHAj7Eb5N7ulaCrf2dyurXQIcVPxFVhnrVBnrVBnrVBnrVBnrVBnrVBnrVLt872qX792+WSMOBLudAgAAAEBBvPMNAAAAAAqyH+GbzjcAAICe1NDQkJaWlmqXsZtSqVTtEjqpr69Pc3NztcsAqIjONwAAgF6ipaXF+6cq0NvCQIC96f4733S+AQAAAMBe6XwDAAAAgIJ45xsAAAAAFGQ/wjfvIQAAAACAvdmPd7619WQdAAAAANDn6HwDAAAAgIJ0v/Ot3TvfAAAAAGBvut/5FrudAgAAAMDe6HwDAAAAgIJ45xsAAAAAFGQ/djvV+QYAAAAAe7MfnW/e+QYAAAAAe7MfnW/CNwAAAADYG51vAAAAAFAQGy50oa2tLTfddFNuvvnmNDU1ZdSoUZkxY0YuueSSDBw4cJ/zN2/enMWLF+enP/1pXnjhhRx99NGZPXt2pk2bdgCqBwAAAKC36P5jp+19d8OF+fPnZ+nSpZk4cWKmTJmStWvXZvHixVm3bl0WL16817nbtm3LBz/4wTzyyCM544wz8qY3vSl33HFHLrvssjQ3N+fCCy88QHcBAAAAQLWVyt1sYRs1tL6nayncc9ta9nnO2rVrc/7552fq1KlZtGhRSqVSyuVy5s6dm+XLl+f666/P5MmT9zj/+uuvz8KFCzNv3rxccMEFSZKtW7fmvPPOS1NTU37yk5/k0EMP7bF7gt5s1+8f9s46VcY6VcY6VcY6VcY6VcY6VcY6VcY6VcY6VcY67Zs14kDo192J7eWdNfepxJIlS5Ikc+bMSalUSvLqb8bLL788pVIpt9xyy17nf/vb385hhx2W8847r+PYsGHD8rd/+7d5+eWXc9ttt3VzxQEAAACoNd0O38rlcs19KrFmzZrU19fn2GOP7XR89OjRGT9+fFavXr3HuRs2bMimTZsyceLE9O/fv9PYpEmTkmSv8wEAAADoW7r/zrcKO8lqSWtrazZu3Jjjjz++y/GxY8dm/fr1aW5uTkNDw27jGzZsSJIcccQRu42NGjUqgwYNyuOPP96jNQMAAADQe9nt9DU2b96cJBk+fHiX47uOb9mypcvwbdf8ESNGdDl/2LBh2bJlS0+UCgAAAEAN6Hb49vvWl3uyjl6hra0tSVJXV9fl+K7j27dv7/b8l1/ue+sGAAAAQNe6/c63vmjw4MFJkh07dnQ53tramiQZMmRIl+ODBg3qdF5X84cOHbq/ZQIAAABQI4RvrzFs2LD069cvW7du7XJ81yOje3os9ZBDDkmSPc7funVrhg0b1gOVAgAAAFALhG+vUVdXlzFjxqSpqanL8aampjQ0NGTkyJFdjo8fP77jvNd79tlns3379hx55JE9Vi8AAAAAvZvw7XUmTpyY5557LuvXr+90fNOmTXn88cf3uBNqkowZMyZjxozJPffck/b29k5jq1atSpKccMIJPV80AAAAAL2S8O11zj777CTJwoULOwK0crmcBQsWJElmzpy51/lnnnlmNm7cmJtuuqnj2NatW3P99ddn8ODBOeusswqqHAAAAIDeplQul8vVLqK3ueyyy7JixYpMmDAhkyZNyr333ps1a9Zk6tSpWbRoUUqlUpLkmmuuSZJceumlHXO3bt2ac889N48//nje8573ZNy4cbnjjjvy5JNP5qqrrsqFF15YlXuCaiiVSvFHzL5Zp8pYp8pYp8pYp8pYp8pYp8pYp8pYp8pYp8pYp32zRhwIwrcu7NixIzfccEOWLVuWTZs2ZcyYMTnzzDNz8cUXp66uruO8xsbGJMm6des6zX/++eezYMGCrFy5Mi+//HKOOuqofOhDH8r06dMP6H1AtfmLrDLWqTLWqTLWqTLWqTLWqTLWqTLWqTLWqTLWqTLWad+sEQeC8A0ojL/IKmOdKmOdKmOdKmOdKmOdKmOdKmOdKmOdKmOdKmOd9s0acSB45xsAAAAAFET4BgAAAAAFEb4BAAAAQEGEbwAAAABQEOEbAAAAABRE+AYAAAAABRG+AQAAAEBBhG8AAAAAUBDhGwAAAAAURPgGAAAAAAURvgEAAABAQYRvAAAAAFAQ4RsAAAAAFET4BgAAAAAFEb4BAAAAQEGEbwAAAABQEOEbAAAAABRE+AYAAAAABRG+AQAAAEBBhG8AAAAAUBDhGwAAAAAURPgGAAAAAAURvgEAAABAQYRvAAAAAFAQ4RsAAAAAFET4BgAAAAAFEb4BAAAAQEGEbwAAAABQEOEbAAAAABRE+AYAAAAABRG+AQAAAEBBhG8AAAAAUBDhGwAAAAAURPgGAAAAAAXEtcO1AAAgAElEQVQRvgEAAABAQYRvAAAAAFAQ4RsAAAAAFET4BgAAAAAFKZXL5XK1iwAAAACAvkjnGwAAAAAURPgGAAAAAAURvgEAAABAQQZUuwCg56zf9nS1S+j1ph/zN9UugT7kmefXVbuEmjC64ehql1ATnvbztE/t8ariShz3p6dVu4SaUCrpQ6hE/wGDq11CTXjxxQ3VLqEmtLe3VbuEmvDoMw9UuwR6mL9xAAAAAKAgwjcAAAAAKIjwDQAAAAAKInwDAAAAgIII3wAAAACgIMI3AAAAACiI8A0AAAAACiJ8AwAAAICCCN8AAAAAoCDCNwAAAAAoiPANAAAAAAoifAMAAACAggjfAAAAAKAgwjcAAAAAKIjwDQAAAAAKInwDAAAAgIII3wAAAACgIMI3AAAAACiI8A0AAAAACiJ8AwAAAICCCN8AAAAAoCDCNwAAAAAoiPANAAAAAAoifAMAAACAggjfAAAAAKAgwjcAAAAAKIjwDQAAAAAKInwDAAAAgIII3wAAAABqyPe+9700Njbmmmuu2et5jY2NmTJlygGqij0RvgEAAABAQYRvAAAAAFAQ4RsAAAAAFET4BgAAANDH/frXv05jY2M+97nP7TY2d+7cNDY25pFHHuk41tjYmLlz52bt2rWZNWtWTjjhhJx44on5+Mc/nqampt2ucdddd2XWrFmZOHFiTj755MybNy+PPfZYl++me+655/IP//APOfXUU/OWt7wlU6ZMyRe/+MVs3bq103mzZs3KlClT8rOf/SxTpkzJ8ccfn4997GM9tCIHzoBqFwAAAABA7/Pwww/nAx/4QCZOnJjzzz8/DzzwQH74wx/moYceyooVK1JXV5ckueOOO/Lxj388b3jDGzJ16tQMHjw4P/jBD3LnnXfuds2nn346559/fjZt2pTJkyfn6KOPziOPPJKvfe1rufPOO7NkyZIMHTq04/yWlpZ8/OMfz+mnn55hw4bl6KOPPmD331OEbwAAAAA1aNWqVfvc8XR/PPbYY/nkJz+Z2bNnJ0nK5XJmz56dX/7yl7n77rtz6qmnZtu2bfnMZz6TYcOG5eabb8748eOTJLNnz84555yz2zX/4R/+IZs2bcr111+f0047reP4jTfemM997nP5yle+kiuvvLLj+LZt23LRRRdl7ty5hd1n0fpk+NbQ0JCWlpZqlwGFK5fL1S4BAACAKlm1alVWrVpV2PUHDx6cD3zgAx2/LpVKecc73pFf/vKXeeqpp5Ikv/zlL/P888/nwx/+cEfwliRjxozJRRddlIULF3Yce/bZZ/Pzn/8873znOzsFb0ly4YUX5utf/3qWLVvWKXxLkve85z09f3MHUJ8M31paWoQSAAAAQJ82Z86cXHrppXscb2xs3K/rjxkzpuPR0l2GDx+eJGltbU2SPPjgg0mSCRMm7Db/bW97W6df/+d//mfK5XI2b97cZcfewIED88wzz2TTpk0ZPXp0x/E/+ZM/2a/7qLY+Gb4BAAAAsH9eH7wlr3a/JX94EmvXk4eHHXbYbucefvjhnX794osvJknuu+++3HfffXv8ups3b+4Uvg0ePPiPrLx3Eb4BAAAA9HGvD81e6+WXX+72dYcNG5Yku+1U2tWxXRspfPjDH67JXUu7q1+1CwAAAACgWAMHDkzy6gYGr/fkk092+7pvfvObk/zh8dPXuv/++zv9etdjsA899FCX11q8eHFuuOGGjkda+wrhGwAAAEAf96d/+qfp379/7r777k6dbj/96U/z8MMPd/u6p59+ekaOHJkbb7yxU4i3cePG/Mu//Eunc8eNG5cTTzwxP//5z3P77bd3Glu+fHmuvfba/OIXv+jycdda5rFTAAAAgD6uoaEh73rXu/KjH/0o/+N//I+8853vzJNPPpn/+I//yMSJE3PPPfd067pDhw7NvHnzcsUVV+Tcc8/Nu9/97vTv3z933HFHxzn9+v2h92v+/Pm54IIL8rGPfSynnnpqjjnmmKxfvz4//elPM3LkyPz93//9ft9rbyN8AwAAADgIfP7zn8/hhx+e22+/Pf/6r/+aY445JosXL86GDRu6Hb4lyfTp0zNkyJBcf/31+f73v5/Bgwdn+vTp+W//7b/lsssuy5AhQzrOPeqoo/K9730v1113XX72s5/lrrvuyuGHH56zzjorH/nIRzJu3LieuNVepVTu6k17Na5UKnX5AkHo69Zve7raJfR604/5m2qXQB/yzPPrql1CTRjdcHS1S6gJT/t52qf2+O+7Shz3p6dVu4SaUCp5A08l+g+o7R0GD5QXX9xQ7RJqQnt7W7VLqAmPPvNAtUv4o2zdujUvvfRSDj/88I5NHXb5t3/7t3zqU5/KwoULM23atCpVWH3+xgEAAACgW9avX59TTz01n/rUpzodf+WVV7JkyZIMGDAgEydOrFJ1vYPHTgEAAADolje/+c2ZMGFCvve976WpqSkTJkzIK6+8kpUrV+app57KZZddltGjR1e7zKoSvgEAAADQLf369cvXv/71fOMb38jtt9+eJUuWZODAgWlsbMyVV16ZM844o9olVp3wDQAAAIBuGz58eD760Y/mox/9aLVL6ZW88w0AAAAACiJ8AwAAAICCCN8AAAAAoCDCNwAAAAAoiPANAAAAAAoifAMAAACAggjfAAAAAKAgwjcAAAAAKIjwDQAAAAAKInwDAAAAgIII3wAAAACgIMI3AAAAACiI8A0AAAAACiJ8AwAAAICCCN8AAAAAoCDCNwAAAAAoiPANAAAAAAoifAMAAACAggjfAAAAAKAgwjcAAAAAKIjwDQAAAAAKInwDAAAAgIIMqHYBQM+ZfszfVLuEXu8Hv/l+tUuoCX95yPhql0AfUl9/bLVLqAkjRvxptUvo9ba/8kK1S6gJjz7x02qXQB9yxKg3V7uEmrBt++Zql1ATGg45qtolQFUckPCtoaEhLS0tB+JLAQAAAECvcUDCt5aWlpTL5QPxpZIkpVLpgH0tAAAAANgT73wDAAAAgIII3wAAAACgIMI3AAAAACiI8A0AAAAACiJ8AwAAAICCCN8AAAAAoCDCNwAAAAAoiPANAAAAAAoifAMAAACAggjfAAAAAKAgwjcAAAAAKIjwDQAAAAAKInwDAAAAgIII3wAAAACgIMI3AAAAACiI8A0AAAAACiJ8AwAAAICCCN8AAAAAoCDCNwAAAAAoiPANAAAAAAoifAMAAACAggjfAAAAAKAgwjcAAAAAKIjwDQAAAAAKInwDAAAAgIII3wAAAACgIMI3AAAAACiI8A0AAACgRsydOzeNjY1ZuXJll+PnnntuGhsbc8EFF3Q5vnz58jQ2NmbBggVFlslrCN8AAAAAasSkSZOSJPfdd99uY5s3b85//ud/pl+/frn//vvz0ksv7XbOPffckyR5+9vfXmyhdBC+AQAAANSIXeHb/fffv9vYXXfdlfb29rz73e/Ojh07smrVqt3OueeeezJo0KC87W1vK7xWXiV8AwAAAKgRY8aMybhx4/LAAw+kvb2909idd96ZAQMG5CMf+UiS5Fe/+lWn8c2bN+d3v/tdTjjhhAwaNOiA1XywE74BAAAA1JBJkyblpZdeym9+85tOx3/1q19lwoQJaWxszLhx43LnnXd2Gl+7dm3K5XLHI6dTpkzJrFmz8m//9m855ZRTcsIJJ+Tqq69OkuzYsSPf+ta38v73vz8TJ07MW97ylkyePDnz5s1Lc3Nzp+s2NjbmE5/4RO6+++68733vy4QJEzJlypQsXLgw27dvL3AlaoPwDQAAAKCGnHTSSUk6v/ftiSeeyFNPPZVTTjklSXLKKafkt7/9bTZt2tRxTlfve/vNb36T+fPn513velfOOOOMvPWtb02SXHHFFfn85z+fAQMG5P3vf39mzpyZurq6LF26NBdffPFuNa1bty6zZ8/OkCFDcsEFF+SQQw7J9ddfn0suuWS3Dr2DzYBqFwAAAABA5U4++eQkr4ZvM2fOTPKHR0x3BWsnn3xyli5dml/96leZMWNGklfDt+HDh+ctb3lLx7VaWlry6U9/OrNmzeo4dt999+VHP/pR3vve9+ZLX/pSx/G2tracc845eeihh7J+/foceeSRHWOPPfZYLrjggsybN6/j3I9//OP58Y9/nOXLl3fUcDDqk51v9fX1KZVKPj59/gMAAMDBZ/To0Rk/fnynzrc777wzQ4cO7ehcO/nkk1MqlToePW1tbc3DDz+cE088Mf379+90vfe85z2dfv3GN74xV199dT72sY91Oj5gwIBMnDgxSfLCCy90Ghs6dGin8wcMGJArr7wySXLbbbftz+3WvD7Z+fb6Z48BAAAA+pJJkybl5ptvzosvvpg3vOEN+fWvf52TTjopAwa8GvU0NDTkuOOO69jx9IEHHkhra2unR06TZODAgRk9enSnY2984xtzzjnnpK2tLQ8//HDWr1+fDRs25JFHHukI817/KGljY2MOOeSQTseOOOKIjBw5Mo8++miP3nut6ZOdbwAAAAB92aRJk1Iul3PfffflwQcfzIsvvrhbsPb2t789mzZtyoYNG7J27dqOY681ePDgLq//3e9+N5MnT86MGTNyxRVX5Bvf+EZefvnlHH300UmScrnc6fzXB3i7HHbYYdmyZUu37rGvEL4BAAAA1Jhdmy489NBDufvuu5PsHqzt+vXatWuzdu3ajBo1Ksccc8w+r/3DH/4wf//3f5/6+vpce+21+elPf5rVq1fna1/7Wv78z/+8yzl72tX0xRdfTH19fcX31Rf1ycdOAQAAAPqyUaNG5aijjsrDDz+c1tbWHHbYYWlsbOx0zoknnpiBAwdm3bp1uf/++zt2Qt2X73//+0mS//t//+9uYd3vfve7JLt3vj300ENpb29Pv35/6PN66qmn8uyzz+bd7373H31/fYnONwAAAIAaNGnSpDz44IO57777OnZAfa0hQ4bkrW99a1auXJnm5ubdOuP2ZNCgQUmS559/vtPx5cuXd7xDrq2trdPYc889l6997Wsdv96xY0euvvrqJMm5555b+U31QTrfAAAAAGrQpEmT8p3vfCdJ9tjV9va3vz2LFy/u+N+VOPPMM/ODH/wgc+bMyfTp0zNs2LA8+OCDWbVqVQ499NC88MIL2bx5c6c5Q4cOzcKFC/PrX/86Rx99dO6666489thjOeusszJ58uT9uMvap/MNAAAAoAZNmjQppVIpyd7DtyQZN25cxo4dW9F1TzvttCxcuDBHHHFEbrvttixbtizbt2/PvHnzOrrbfvazn3Wac8QRR+S6667Lc889l+9+97vZuXNnPvWpT+Wf/umfunt7fUap/PqHdIv4IqXSbs8CAz3vL8a+rdol9Ho/+M33q11CTfjLQ8ZXuwT6kL885sxql1ATdu7s+iXF/MH2V16odgk14bdPr6l2CfQhR4x6c7VLqAnbtm/e90mk4ZCjql1CTVj7u59Uu4Q/WmNjY4477rjceuut1S6lV9L5BgAAAAAFEb4BAAAAQEGEbwAAAABQELudAgAAANBt69atq3YJvZrONwAAAAAoiPANAAAAAAoifAMAAACAggjfAAAAAKAgwjcAAAAAKIjwDQAAAAAKInwDAAAAgIII3wAAAACgIMI3AAAAACiI8A0AAAAACiJ8AwAAAICCCN8AAAAAoCDCNwAAAAAoiPANAAAAAAoifAMAAACAggjfAAAAAKAgwjcAAAAAKIjwDQAAAAAKInwDAAAAgIII3wAAAACgIMI3AAAAACiI8A0AAAAACjKg2gUAHEh/ecj4apdQEx78/ePVLqEmXPT+W6pdQk1Y86NPVrsE+ogjRr252iXUhBNP/kS1S6gNbdurXUFtKOnXqETrlqeqXUJN+N0TP6l2CVAV/iQFAAAAgIII3wAAAACgIMI3AAAAACiI8A0AAAAACiJ8AwAAAICCCN8AAAAAoCDCNwAAAAAoiPANAAAAAAoifAMAAACAggjfAAAAAKAgwjcAAAAAKIjwDQAAAAAKInwDAAAAgIII3wAAAACgIMI3AAAAACiI8A0AAAAACiJ8AwAAAICCCN8AAAAAoCDCNwAAAAAoiPANAAAAAAoifAMAAACAggjfAAAAAKAgwjcAAAAAKIjwDQAAAAAKInwDAAAAgIII3wAAAACgIMI3AAAAACiI8A0AAAAACiJ8AwAAAICCDKh2AQAAAAD88R5++OEsXbo0q1atyjPPPJP+/fvn2GOPzXvf+97MnDkzAwYUH/vs3Lkz3/nOdzJjxowMHTq08K9Xi3S+AQAAANSQ9vb2LFq0KOeee26WLVuWo48+Ov/zf/7PTJs2LRs3bsz8+fNz0UUX5ZVXXim8liuuuCKf/exn09bWVvjXqlU63wAAAABqyPXXX5/rrrsub33rW7N48eKMHj26Y6y1tTWf+tSnctttt2Xu3Ln58pe/XGgtL7zwQqHX7wt0vgEAAADUiPXr1+e6665LQ0NDvvrVr3YK3pKkrq4uX/jCFzJ27Njcfvvt+e1vf1ulStlF5xsAAABAjVi+fHl27NiRCy64ICNGjOjynIEDB+aqq65KS0tL6uvrO42tWLEiN954Yx599NGUSqU0NjZm1qxZmT59eqfznnjiiSxYsCAPPPBAnnvuuRx++OE59dRT85GPfCSjRo1KkjQ2Nnacf+KJJ+akk07Kv/7rv/bwHdc+4RsAAABAjfjFL36RJHnHO96x1/MmT56827F/+qd/yte//vWMGjXq/2fvzsO1Kgu1gd+bURkMSOAU4ESnjWKk4oCCCoigpiKE5nBwHjoenFLLz686fjkcM00NlSwNMxQFxQETRBAUnFAjBxQ1wwkTQ7ZMgUz7+8Pjrh1gqHv58urvd13vdbnXet617vX+4aX39TzPyv77758kmTJlSr73ve/l+eefz9lnn50kmT9/fo4++uhUVVWlX79+adOmTV588cWMHDkyjz/+eO6+++40bNgwQ4YMyR133JE5c+bkhBNOyFZbbVXHT/v5oHwDAAAAKBNvv/12kmSLLbb4WN978skn85vf/CbbbLNNrr/++rRq1SrJB0XbUUcdleuuuy49e/bMTjvtlHvvvTdvvfVWLrroonz729+uucZPfvKT3HTTTXn44YfTs2fPnHLKKZk+fXrmzJmTE088cZ0z8b7o7PlWRlq1apWKigofn5oPAAAAXywLFy5MkjRt2vRjfW/MmDFJku9///s1xVvyQddw5plnJkluv/32JB+8TTVJZs6cmVWrVtWMPeOMMzJt2rT07NnzE+f/IlK+lZGqqqpUV1f7+NR8AAAA+GJp0aJFkr+XcOtr1qxZqVevXrp27brGuQ+PzZo1K0nSr1+/tGjRIjfddFO6d++es846K3fffXdWr15ds98b60/5BgAAAFAmOnTokOSDFyJ8lEWLFuWdd96p+Xvx4sVp3LhxGjVqtMbY5s2bZ+ONN87SpUuTJG3bts1tt92Wb3/726murs7YsWNz9tlnp3v37vnxj3+c5cuX1+ETff4p3wAAAADKxIcvWnj44Yc/ctytt96a3XffPVdccUWSD5apLl26dK0z5t5///0sW7as1ptRO3TokIsuuiiPPPJIRo0alVNOOSVt2rTJrbfemiuvvLIOn+jzT/kGAAAAUCYOOOCANGzYMCNGjMiiRYvWOmbp0qUZPXp0kqR79+5Jkk6dOiVJnnrqqTXGP/XUU6murs7Xvva1JMmkSZNy3nnnZfHixalfv36++c1vZsiQIbnpppvWeQ3WTfkGAAAAUCY6dOiQo48+OlVVVTn++ONrLS1NPlhuetZZZ+XVV19Nr169stNOOyVJBg4cmCT5+c9/nvnz59eMnz9/fi655JIkSf/+/ZMkf/7znzNy5MiMHDmy1rXnzJmTJPnqV79ac6xhw4ZJkhUrVtTlY36uNCh1AAAAAADW3xlnnJF33303Y8aMyV577ZWePXtms802y9y5c/Pwww9n/vz52WGHHWpKtSTZaaedcswxx2T48OE58MAD06tXryTJ5MmT89e//jUnnHBCTVF3yCGHZNSoUbn00kszffr0VFZW5t1338348ePTpEmTnHjiiTXXbdu2bZLk3HPPTffu3XPkkUd+hr9Eeaio/gxemVhRUeHNjHXA78i/sk27HUodYYP3+jvPlTpCWXh2wauljlAWjjlkdKkjlIUn7zu71BH4nNisdedSRygLbTvuW+oI5WHl+6VOUB4qLJZaH8sXzSl1hLLw59cmlTpCWfjLwrnrPXbatGm55ZZb8uKLL2bu3Llp0KBBKisr079//xx88MGpX7/+Gt+5++67c9NNN+XFF19MgwYNsvXWW2fw4MHp27dvrXFz587NsGHD8vDDD+ftt99Os2bNsvPOO2fIkCH593//95pxr732Ws4+++w8//zzadeuXe67775P/vCfU8q3MuJ35F9Rvv1ryrf1o3xbP8q39aN8o64o39aP8m09Kd/Wj/JtvSjf1o/ybf18nPKN8uDfpAAAAABQEOUbAAAAABRE+QYAAAAABVG+AQAAAEBBlG8AAAAAUBDlGwAAAAAURPkGAAAAAAVRvgEAAABAQZRvAAAAAFAQ5RsAAAAAFET5BgAAAAAFUb4BAAAAQEGUbwAAAABQEOUbAAAAABRE+QYAAAAABVG+AQAAAEBBlG8AAAAAUBDlGwAAAAAURPkGAAAAAAVRvgEAAABAQZRvAAAAAFAQ5RsAAAAAFET5BgAAAAAFUb4BAAAAQEGUbwAAAABQEOUbAAAAABSkQakDAHXnL/NeLHUEPieOOWR0qSOUheGjDi51hLKwR7tLSx2hLFQtnlvqCBu8Nl2PLXWEsrD8SxuXOkJZqP/CE6WOUBbqt+1U6ghlodGXvlLqCGVh0azbSh0BSqKsy7dWrVqlqqqq1DEAAAAAYK3KunyrqqpKdXV1qWN8ZioqKkodAQAAAICPwZ5vAAAAAFAQ5RsAAAAAFET5BgAAAAAFUb4BAAAAQEGUbwAAAABQEOUbAAAAABRE+QYAAAAABVG+AQAAAEBBlG8AAAAAUBDlGwAAAAAURPkGAAAAAAVRvgEAAABAQZRvAAAAAFAQ5RsAAAAAFET5BgAAAAAFUb4BAAAAQEGUbwAAAABQEOUbAAAAABRE+QYAAAAABVG+AQAAAEBBlG8AAAAAUBDlGwAAAAAURPkGAAAAAAVRvgEAAABAQZRvAAAAAFAQ5RsAAAAAFET5BgAAAAAFUb4BAAAAlIHjjjsulZWVmThx4keOW7VqVXbbbbdsv/32WbJkyXpf/5FHHkllZWV++tOfftqo/APlGwAAAEAZOOigg5Ik48aN+8hxDz/8cN59993069cvTZs2/Syi8RGUbwAAAABlYO+9906zZs3ywAMPZOnSpescN3bs2CTJgAEDPqtofATlGwAAAEAZ2GijjdKvX7/87W9/y5QpU9Y6ZunSpZk4cWLatWuXnXfe+bMNyFop3wAAAADKxIez2e699961nn/ggQfyt7/9LQcddFAqKiqSJKtXr85NN92U/v37p0uXLtlxxx1z7LHH5tFHH/2X9zvssMNSWVm5xt5xr732WiorK3PqqafWHLv88stTWVmZN954Iz/96U/To0ePbLfddjn88MMzc+bMrFq1Ktdee2169+6d7bffPgcffHCeeOKJNe75zjvv5Mc//nH22GOPbLvtttlrr71y2WWXfaz96zYkDUodAAAAAID1s+OOO6Z9+/Z58MEHs3jx4jRr1qzW+bFjx6aioqKmpFu9enVOO+20TJgwIZtttlkGDRqUxYsXZ9KkSTnmmGNy3nnn5dBDD63TjKecckoWLlyY/fffP3PmzMmECRNywgknZPfdd8/UqVPTr1+/LFu2LHfddVdOPPHE3H///dl0002TJG+88UYOP/zwzJs3L7169cpWW22VF154Ib/61a/y8MMP56abbsrGG29cp3mLpnwDAAAAKBMVFRXp379/rr766jzwwAM58MADa85VVVVl2rRp2XHHHdOhQ4ckyR133JEJEyZkzz33zJVXXllTXL322ms5/PDDc8EFF2T33XdPu3bt6izjkiVLctddd6V58+ZJktNOOy3jx4/PAw88kHvvvTetW7dOkrRt2zbDhg3LAw88kEMOOSRJct5552XevHm59tprs8cee9Rcc/jw4bn44oszbNiwfO9736uzrJ8Fy07LSMuWLVNRUeHjU/MBAADgi+fDt57+89LTcePGZcWKFbVetHDHHXckSf77v/+71oyxzTffPCeeeGJWrFiRu+66q07zDRw4sKZ4S5IddtghSXLAAQfUFG9J8s1vfjNJMmfOnCTJX/7yl0ybNi29evWqVbwlyVFHHZXWrVtnzJgxdZr1s2DmWxmZP39+qSMAAAAAJbbZZpula9eumTZtWhYuXJhNNtkkSXLPPfdk4403Tr9+/WrGvvDCC2nXrt1aZ7Z17do1STJr1qw6zbf55pvX+rtJkyZJkvbt29c63rhx4yTJ8uXLkyQzZ85M8kH/MXTo0DWu27hx47z55puZN29ezTLVcqB8AwAAACgzBx10UJ566qlMmDAhgwYNypw5c/KHP/whBx54YK194JYsWbLOJaVt2rRJkixbtqxOs61rT7ZGjRp95PcWLVqUJJkxY0ZmzJixznELFiwoq/LNslMAAACAMrPvvvumcePGGTduXJLk97//faqrq2stOU0+mHU2d+7ctV5j4cKFSZIWLVqs8z4fbnlUXV1d6/jSpUs/cfZ1+XCG3CmnnJIXX3xxnZ+OHTvW+b2LpHwDAAAAKDPNmzdPnz598vjjj2fhwoUZP3582rVrl27dutUat/XWW+e9997LK6+8ssY1nnjiiSTJ1772tXXep2HDhkmSv/3tb7WOv/HGG5/2EdZQWVmZJHnuuefWev6KK67Ir371q6xcubLO710k5RsAAABAGerfv39WrFiRW265JTNnzsyBBx64xsv5PpwJd+GFF9aarfb6605p0kgAACAASURBVK9n2LBhadSoUfbbb7913mOrrbZKkkyZMqXm2LJly3L99dfX4ZN8YIsttsj222+fyZMnZ+LEibXO3X777Rk2bFgeeeSRNGhQXruolVdaAAAAAJIkPXr0SOvWrXPNNdck+eAto/9s4MCBNWXWgQcemD322COLFy/OpEmTsmTJkvz3f//3Gi9C+EeDBg3KLbfckp/85Cf5wx/+kBYtWmTixIlp0aJFzQsT6tKFF16YI444IkOGDMkee+yRr33ta/nzn/+cKVOmpGXLlvnRj35U5/csmplvAAAAAGWofv36OeCAA7J06dJ07do1m2222Rpj6tWrl1/84hc599xzs/HGG2f06NGZMmVKunbtmt/+9rc59NBDP/IenTt3zi9/+ctss802uffee3P33XenR48eGT58eOrXr1/nz9SxY8eMGTMmgwYNyqxZs3LjjTfmpZdeyoABAzJ69Oiy2+8tSSqq/3nHvCJuUlGxxsZ8G/J1oVy1bNy01BE2eCtWryh1hLKwY7+flTpCWRg+6uBSRygLe7TbpdQRykLV4rVvhMzf7bjPZaWOUBZWfGntb5ijtvovPFHqCGWhfttOpY5QHvx/6Xp5YuI5pY5QFhavWF7qCNQxM98AAAAAoCDKNwAAAAAoiPINAAAAAAqifAMAAACAgijfAAAAAKAgyjcAAAAAKIjyDQAAAAAKonwDAAAAgIIo3wAAAACgIMo3AAAAACiI8g0AAAAACqJ8AwAAAICCKN8AAAAAoCDKNwAAAAAoiPINAAAAAAqifAMAAACAgijfAAAAAKAgyjcAAAAAKIjyDQAAAAAKonwDAAAAgIIo3wAAAACgIMo3AAAAACiI8g0AAAAACqJ8AwAAAICCKN8AAAAAoCDKNwAAAAAoSEV1dXV14TepqEgRtynqulCuOn2lS6kjbPBatvx6qSOUhWdfvrvUEcpCy2ZtSx2hLDw05/FSRygLg4+9p9QRNnhV035V6ghloW2nQaWOUBaWt/5yqSOUheoGFaWOUBZWPuG/ndZH9epVpY5QFqa/9PtSR6COmfkGAAAAAAVRvgEAAABAQZRvAAAAAFAQ5RsAAAAAFET5BgAAAAAFUb4BAAAAQEGUbwAAAABQEOUbAAAAABRE+QYAAAAABVG+AQAAAEBBlG8AAAAAUBDlGwAAAAAURPkGAAAAAAVRvgEAAABAQZRvAAAAAFAQ5RsAAAAAFET5BgAAAAAFUb4BAAAAQEGUbwAAAABQEOUbAAAAABRE+QYAAAAABVG+AQAAAEBBlG8AAAAAUBDlGwAAAAAURPkGAAAAAAVRvgEAAABAQZRvAAAAAFAQ5RsAAAAAFET5BgAAAAAFUb4BAAAAlJGhQ4emsrIylZWVueaaaz5y7AUXXFAz9s033yw827Rp0/LMM8+s19hf/epX6dmzZ7bddtvsvvvu+dOf/pTKysqcfPLJNWMGDx6cysrKLFy4MEny+OOPp7KyMhdeeGHNmHPOOSeVlZV54YUX6vZh6ojyDQAAAKBM3X///es8V11dnQkTJnxmWW6++eYcd9xxeeedd/7l2KlTp+ayyy7LqlWrcuSRR2bQoEFp06ZNhgwZkm9961sf6759+vTJkCFDsummm37S6IVqUOoAAAAAAHx8rVu3zvPPP58333wz7du3X+P8jBkzMnfu3DRp0iR/+9vfCs/z7rvvrvfY559/Pkly6qmn5uCDD645fsopp3zs+/bp0yd9+vT52N/7rJj5BgAAAFCG9tprryTJxIkT13r+vvvuS/PmzbPjjjt+lrHWy/Lly5MkLVu2LHGS4infAAAAAMpQt27dsskmm6xzaemECRPSu3fvNGzYcI1zM2fOzMknn5xddtklXbp0Sf/+/TNy5MhUV1evMXby5Mk5/vjj061bt3Tu3DndunXLySefXGuPtcGDB+eqq65KkvzXf/1XKisra8717t271p5zlZWVa4wdM2ZM3nzzzTX2fFsf/7zn24fXGTp0aCZNmpRBgwalS5cu2XXXXfPDH/4w8+fPX+Ma48ePz6BBg7L99ttn9913z6WXXppHHnmkJtunYdkpAAAAQBlq2LBhevfunbvvvjvz5s2rtefZM888k7feeiv77LNPbrvttlrfe/DBBzNkyJA0bNgwffv2TatWrTJ16tScd955ef7553P++efXjB0xYkTOP//8bLbZZtl///3TsGHDPPvss5k0aVIee+yxjB8/Pm3atMmAAQOSJNOnT89+++2XrbbaquYaRx55ZBYtWpRNNtkkSTJkyJBMnz691titt966zn+fyZMn55prrknPnj2zyy675OGHH87o0aPzpz/9KbfcckvNuN/+9re56KKL0rp16/Tv3z8rVqzIiBEjMn78+DrJoXwDAAAAKFN9+/bNnXfemUmTJuU73/lOzfHx48enWbNm6dGjR63ybenSpTnnnHPSvHnzjBo1qmavuLPOOiunn356Ro0alT59+mTPPffM8uXLc/nll2eLLbbIHXfckSZNmtRc57zzzsvIkSMzefLkfOc738nAgQMzZ86cTJ8+Pd/61rdq7cF29NFH18p8yimnZOjQoWuMreu3sc6cOTNXXHFF9t133yTJ6aefngEDBmTGjBl55ZVX0rFjx7z99tu57LLLstlmm2XkyJE1BeYRRxyRQw45pE5yWHZaplq1apWKigqfL/gHAACAL7YePXqkSZMmayw9/XDJaaNGjWodf+CBBzJ//vwcd9xxtV7SUK9evZx55plJkttvvz1JsmrVqpx//vm58MILaxVvSbLzzjsn+XgvWfisdejQoaZ4Sz6YKbjrrrsmSebMmZMkGTduXN5///2cdNJJtWYObrPNNjWz+T4tM9/KVFVV1VrXYQMAAABfHI0bN07Pnj1z//33Z9GiRWnevHlmzpyZN954I//n//yfNcY/99xzST6YFTZ06NA1ztevXz+zZs1Kkmy88cbZb7/9kiSzZ8/OK6+8ktdffz0vv/xyHn300STJ6tWri3q0T22LLbZY41jz5s2T/P2FD88++2ySpEuXLmuM3WGHHTJq1KhPnUP5BgAAAFDG+vbtm3vvvTeTJ0/OgQcemPvuuy9NmzbN7rvvvsbYRYsWJUl+//vfr/N6CxYsqPnnJ554Iv/zP/+TmTNnJvmg7OvUqVM6d+6cv/zlLxv0xKB/nvWXZI1VZFVVVUlSa9bbh9q0aVMnOZRvAAAAAGVszz33zEYbbZT777+/pnzr1avXWsunD5eP3nDDDTVLMNdlzpw5Of7447PRRhvl/PPPT9euXbPFFlukfv36uffeezNx4sRCnuez1KxZsyTJkiVL0qpVq1rnFi9eXCf3sOcbAAAAQBlr0qRJevTokalTp+aZZ57Jq6++Wmuvs39UWVmZ5O/LT//Re++9lwsvvDB33XVXkmTixIlZtmxZTj311BxyyCHp2LFj6tevnyR55ZVXkqTWzLdy3Ju8c+fOST54O+w/e/rpp+vkHso3AAAAgDLXt2/fLF26tOblCGtbcpoke++9d5o1a5brrrsus2fPrnXuZz/7WW688ca8/vrrST5YYpok8+bNqzVu1qxZufHGG5MkK1eurDneoMEHCyw/3E+tHBxwwAFp2LBhfvnLX2b+/Pk1x19++eXceuutdXIPy04BAAAAylzv3r3TsGHD/PGPf8z+++9fU5z9s0022SQXXHBBzjrrrAwYMCB9+vRJmzZt8sQTT+SZZ57JN77xjRx77LFJkl69euWyyy7Ltddemz//+c/ZbLPN8tprr2Xy5Mk1Ly547733aq7dtm3bJMmwYcPywgsvZMiQIWncuHFuuOGGLFq0KEcddVQ22WSTgn+Jj6ddu3Y59dRTc9lll6V///7Za6+9smzZstx33301v2G9ep9u7pqZbwAAAABlrnnz5jV7uPXr1+8jx+67774ZMWJEunXrlqlTp2bEiBFZvHhxTj755Nxwww1p2rRpkg/KtOHDh6dbt2557LHHcvPNN2f27NkZPHhwxo0blxYtWmTq1Kk1S0/322+/7LvvvnnjjTdy8803Z86cOUmSG2+8MVdddVUWLlxY4C/wyZ144om56KKL0rJly9x+++15+OGHc9RRR+Xkk09O8sFbXz+NiurP4LUUFRUVhbz9oqjrloMv8rOzbp2+suarkamtZcuvlzpCWXj25btLHaEstGzWttQRysJDcx4vdYSyMPjYe0odYYNXNe1XpY5QFtp2GlTqCGVheesvlzpCWahuUH77N5XCyif8t9P6qF69qtQRysL0l9b9FlLqXlVVVVatWrXWt53+4he/yNVXX53Ro0enS5dP/v/bZr4BAAAA8IX0+OOPp3v37rnqqqtqHZ8/f37uuOOOfOlLX0qnTp0+1T3s+QYAAADAF9Luu++edu3a5eqrr86zzz6br3/961mwYEEmTpyYqqqqXHzxxWnUqNGnuofyDQAAAIAvpKZNm+aWW27JddddlylTpuTRRx9NkyZNsu222+a4446r2Ufv01C+AQAAAPCF1aZNm5x77rk599xzC7m+Pd8AAAAAoCDKNwAAAAAoiPINAAAAAAqifAMAAACAgijfAAAAAKAgyjcAAAAAKIjyDQAAAAAKonwDAAAAgIIo3wAAAACgIMo3AAAAACiI8g0AAAAACqJ8AwAAAICCKN8AAAAAoCDKNwAAAAAoiPINAAAAAAqifAMAAACAgijfAAAAAKAgyjcAAAAAKIjyDQAAAAAKonwDAAAAgIIo3wAAAACgIMo3AAAAAChIg1IHAOrOW/NeLHWEDd4mm2xe6gh8jlQtnlvqCGVh8LH3lDpCWfjdb/YvdYQN3rEDF5Y6QllY8PL4UkcoC/Veb1jqCGWh6df3KXWEsvDS61NLHaEsdO5ydKkjQEko3/5Xq1atUlVVVeoYAAAAAHyOKN/+V1VVVaqrq0sdY71VVFSUOgIAAAAA/4I93wAAAACgIJ/JzLeWLVuaqQUAAADAF85nUr7Nnz+/kOsq9AAAAADYkFl2CgAAAAAFUb4BAAAAQEGUbwAAAABQEOUbAAAAABRE+QYAAAAABVG+AQAAAEBBlG8AAAAAUBDlGwAAAAAURPkGAAAAAAVRvgEAAABAQZRvAAAAAFAQ5RsAAAAAFET5BgAAAAAFUb4BAAAAQEGUbwAAAABQEOUbAAAAABRE+QYAAAAABVG+AQAAAEBBlG8AAAAAUBDlGwAAAAAURPkGAAAAAAVRvgEAAABAQZRvAAAAAFAQ5RsAAAAAFET5BgAAAFBGxowZk8rKygwdOvQjx1VWVqZ3796f6B6VlZXp379/rWMPPvhgDjjggHzjG9/ILrvskscee+wTXbsIH/4mN9xwQ63j99xzT954443ShPpfDUp6dwAAAAA2OEOGDMmmm25a8/eCBQty2mmnZdWqVRk4cGCaNm2ajh07ljBhbVtvvXWGDBmS7bbbrubYz372s1x33XW58847S5hM+QYAAADAPznllFNq/f3nP/85S5cuzQEHHJD/9//+X4lSrdvWW2+drbfeutaxd999t0RparPsFAAAAICPtHz58iRJy5YtS5yk/CjfAAAAAD7n3nzzzZp94iZNmpRBgwalS5cu2XXXXfPDH/4w8+fPrzX+H/d8Gzx4cI488sgkyY033pjKysqcc845NWOfeeaZnHzyydlll13yjW98I/vtt19++ctf1hR2H+rdu3cGDx6c22+/Pbvttlu23377XHzxxTXZrrnmmkyYMCEDBgxIly5d0rt37wwfPjxJ8tRTT+Xwww/Pdtttl969e2fo0KFZuXJlzbX/ec+33r1754477kiSHHTQQendu3eefPLJVFZW5qyzzlrrb9SnT5/07Nkzq1ev/hS/9JqUbwAAAABfEJMnT86QIUPSunXrDB48OG3bts3o0aNz8sknr/M7AwYMyIABA5Ik3/zmNzNkyJD06dMnSTJx4sQcdthhmTp1anbbbbcceuihqV+/fi6//PIcc8wxaxRwL7/8cn7yk5+kT58+2WeffWrt0TZhwoR873vfS8eOHfOd73wnS5YsycUXX5wLLrggRx99dFq2bJnDDjss1dXVueqqq3LTTTetM/ORRx6ZTp06JUm+853v5Mgjj0zXrl3Tvn37TJo0KUuXLq01/g9/+EPeeOONHHDAAalXr27rMnu+AQAAAHxBzJw5M1dccUX23XffJMnpp5+eAQMGZMaMGXnllVfW+hKFgQMHpl27drnjjjvyzW9+s2Y/uMWLF+fcc8/NRhttlBtvvDGdO3dOkqxcuTLnnHNOxo4dm1//+tf5r//6r5prVVVV5Yc//GEGDx5cc+zNN99Mkrzwwgu5+uqra4q9PffcM8cdd1x+97vf5cc//nGOOOKIJMkRRxyRvfbaK/fcc0+OOuqotT7n0UcfnVmzZmXWrFk57LDDavaD69+/f66++upMnjw5++23X834sWPH1pyva2a+lamWLVumoqLC5wv+AQAAgI+jQ4cONcVbkjRs2DC77rprkmTOnDkf61oTJ07MggULcuSRR9YUb0nSoEGDmlLu9ttvX+N7ffv2Xev12rVrV1O8JckOO+yQJGnSpEkOPfTQmuPt27fPpptu+rHzJh8sQU3+XrYlyYoVKzJu3Lh07tw5X/va1z72Nf8VM9/K1D+vxQYAAAC+GD7Ossh/nrixxRZbrDGmefPmSbLGEtF/ZdasWUmSnXbaaY1zrVq1ypZbbpkXXnghixYtqrlHw4YN07Zt27Veb/PNN6/1d5MmTZIk//Zv/5b69evXOte4ceMsXLjwY+VNks022yw77LBDpk6dmgULFuRLX/pSpk2blqqqqnz3u9/92NdbH2a+AQAAAJSRZs2aJUmtFw78s2XLltUa+6FGjRqtMfaTrqxavHjxWu/xoTZt2iRJrf3VNtpoo3Veb+ONN17r8bVl/jQOOuigrFixIhMmTEiS3H333WnQoEH233//Or3Ph5RvAAAAAGWkRYsWSZJ58+atc8zcuXOTfLBtVVGaNm2aJHnnnXfWev7DmWkf5t1Q7LvvvmncuHHGjRuX999/P5MnT0737t2z6aabFnI/5RsAAABAGencuXMaNmyYp556KqtXr17rmKeeeirJB28nLcqHLzH48F7/aPHixXnhhRey+eab1/nMtfW1rhl9m2yySXr37p3p06dn4sSJWbp0aSEvWviQ8g0AAACgjGy88cbp27dvZs+enauvvnqN8++8806GDRuWhg0b5sADDywsR58+fdK8efPcfPPNmTlzZs3xlStX5sILL8yyZcsKLbX+lQYNPnjVwYoVK9Y49+HS08suuyxNmzbNXnvtVVyOwq4MAAAAQCHOOeecPP/887nqqqty//33Z+edd06TJk3y5ptvZvLkyVm2bFl+9KMfpWPHjoVlaNasWS666KKcccYZOfTQQ7P33nvny1/+ch577LG89NJL2XHHHXPCCScUdv9/5cMXO1x88cXZbbfdMmTIkJpzPXr0qHlj6sCBAz9yL7pPy8w3AAAAgDLTpk2b3HbbbTnjjDPSoEGDjB07NsOHD88f//jH9O7dOyNHjszhhx9eeI6+ffvm5ptvTvfu3TN16tSMGjUqSfL9738/N9xwQ8mWnCbJ4Ycfnu7du+e5557L7373uyxZsqTmXIMGDbL33nsnSeGz8yqqq6urC71DgSoqKlJX8evyWlAqmzRsXOoIG7xOW/UtdYSy8Pyf7yt1BD5Htvv2VaWOUBZ+95ti3q71eXLswJtLHaEsLHx5fKkjlIV69RuWOkJZaPr1fUodoSzMfOC8UkcoC527HF3qCGVhymOXlzrCF8ahhx6auXPn5oEHHvjEb3xdH2a+AQAAAPCFMm3atMyYMSPf/va3Cy3eEnu+AQAAAPAFceGFF+app57Kiy++mJYtW+Y//uM/Cr+nmW8AAAAAfCG0adMms2fPzpZbbplhw4alRYsWhd/TzDcAAAAAvhBOOOG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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 613,
       "width": 623
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,20))\n",
    "g = sns.clustermap(df_rest.corr(method='spearman'), vmin=0, vmax=1, cmap='mako')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hierarchy scipy dendrogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 216x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 842,
       "width": 245
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import scipy.cluster.hierarchy as hier\n",
    "\n",
    "Y = hier.linkage(df_rest.corr(method='spearman'),\n",
    "                 method='complete',\n",
    "                 metric='cosine')\n",
    "\n",
    "plt.figure(figsize=(3,15))\n",
    "\n",
    "Z = hier.dendrogram(Y, orientation='left',\n",
    "                    labels=df_rest.columns,\n",
    "                    leaf_font_size=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# My ratings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Explained variance: 79.6%\n",
      "                  Generalized Linear Model Regression Results                  \n",
      "===============================================================================\n",
      "Dep. Variable:                overall   No. Observations:                   116\n",
      "Model:                            GLM   Df Residuals:                       105\n",
      "Model Family:                Gaussian   Df Model:                            10\n",
      "Link Function:               identity   Scale:              0.08790748873846721\n",
      "Method:                          IRLS   Log-Likelihood:                 -17.793\n",
      "Date:                Wed, 18 Apr 2018   Deviance:                        9.2303\n",
      "Time:                        09:18:56   Pearson chi2:                      9.23\n",
      "No. Iterations:                     2                                          \n",
      "================================================================================\n",
      "                   coef    std err          z      P>|z|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "const           -0.7351      0.349     -2.103      0.035      -1.420      -0.050\n",
      "Hunger           0.0809      0.046      1.767      0.077      -0.009       0.171\n",
      "Tortilla         0.0793      0.040      1.962      0.050    9.32e-05       0.159\n",
      "Temp             0.0191      0.030      0.630      0.528      -0.040       0.079\n",
      "Meat             0.3758      0.048      7.764      0.000       0.281       0.471\n",
      "Fillings         0.3234      0.053      6.067      0.000       0.219       0.428\n",
      "Meat:filling     0.0942      0.029      3.234      0.001       0.037       0.151\n",
      "Uniformity       0.0433      0.029      1.496      0.135      -0.013       0.100\n",
      "Salsa            0.1154      0.041      2.829      0.005       0.035       0.195\n",
      "Wrap             0.0357      0.026      1.389      0.165      -0.015       0.086\n",
      "Cost             0.0480      0.038      1.262      0.207      -0.027       0.123\n",
      "================================================================================\n",
      "Explained variance: 68.8%\n",
      "                 Generalized Linear Model Regression Results                  \n",
      "==============================================================================\n",
      "Dep. Variable:                overall   No. Observations:                  177\n",
      "Model:                            GLM   Df Residuals:                      166\n",
      "Model Family:                Gaussian   Df Model:                           10\n",
      "Link Function:               identity   Scale:               0.163207261172279\n",
      "Method:                          IRLS   Log-Likelihood:                -85.047\n",
      "Date:                Wed, 18 Apr 2018   Deviance:                       27.092\n",
      "Time:                        09:18:56   Pearson chi2:                     27.1\n",
      "No. Iterations:                     2                                         \n",
      "================================================================================\n",
      "                   coef    std err          z      P>|z|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "const           -0.3204      0.355     -0.903      0.367      -1.016       0.375\n",
      "Hunger           0.0223      0.038      0.594      0.552      -0.051       0.096\n",
      "Tortilla         0.0487      0.046      1.066      0.286      -0.041       0.138\n",
      "Temp             0.0297      0.033      0.893      0.372      -0.036       0.095\n",
      "Meat             0.2857      0.046      6.182      0.000       0.195       0.376\n",
      "Fillings         0.3472      0.049      7.086      0.000       0.251       0.443\n",
      "Meat:filling     0.1938      0.043      4.552      0.000       0.110       0.277\n",
      "Uniformity       0.0782      0.036      2.173      0.030       0.008       0.149\n",
      "Salsa            0.0622      0.037      1.668      0.095      -0.011       0.135\n",
      "Wrap             0.0555      0.031      1.795      0.073      -0.005       0.116\n",
      "Cost            -0.0230      0.036     -0.632      0.527      -0.094       0.048\n",
      "================================================================================\n",
      "Explained variance: 73.3%\n",
      "                  Generalized Linear Model Regression Results                  \n",
      "===============================================================================\n",
      "Dep. Variable:                overall   No. Observations:                    42\n",
      "Model:                            GLM   Df Residuals:                        31\n",
      "Model Family:                Gaussian   Df Model:                            10\n",
      "Link Function:               identity   Scale:              0.08434583125688973\n",
      "Method:                          IRLS   Log-Likelihood:                 -1.2887\n",
      "Date:                Wed, 18 Apr 2018   Deviance:                        2.6147\n",
      "Time:                        09:18:56   Pearson chi2:                      2.61\n",
      "No. Iterations:                     2                                          \n",
      "================================================================================\n",
      "                   coef    std err          z      P>|z|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "const           -0.7606      0.598     -1.272      0.203      -1.932       0.411\n",
      "Hunger          -0.0266      0.082     -0.322      0.747      -0.188       0.135\n",
      "Tortilla         0.1034      0.095      1.089      0.276      -0.083       0.289\n",
      "Temp             0.0248      0.076      0.326      0.745      -0.124       0.174\n",
      "Meat             0.2874      0.101      2.855      0.004       0.090       0.485\n",
      "Fillings         0.3782      0.118      3.214      0.001       0.148       0.609\n",
      "Meat:filling     0.2864      0.107      2.685      0.007       0.077       0.495\n",
      "Uniformity       0.0028      0.070      0.040      0.968      -0.135       0.141\n",
      "Salsa            0.0876      0.088      0.999      0.318      -0.084       0.259\n",
      "Wrap             0.0598      0.045      1.335      0.182      -0.028       0.148\n",
      "Cost             0.0198      0.058      0.339      0.735      -0.095       0.134\n",
      "================================================================================\n",
      "Explained variance: 99.6%\n",
      "                  Generalized Linear Model Regression Results                   \n",
      "================================================================================\n",
      "Dep. Variable:                overall   No. Observations:                     15\n",
      "Model:                            GLM   Df Residuals:                          4\n",
      "Model Family:                Gaussian   Df Model:                             10\n",
      "Link Function:               identity   Scale:              0.007283882739968045\n",
      "Method:                          IRLS   Log-Likelihood:                   25.545\n",
      "Date:                Wed, 18 Apr 2018   Deviance:                       0.029136\n",
      "Time:                        09:18:56   Pearson chi2:                     0.0291\n",
      "No. Iterations:                     2                                           \n",
      "================================================================================\n",
      "                   coef    std err          z      P>|z|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "const           -0.3894      0.406     -0.958      0.338      -1.186       0.407\n",
      "Hunger          -0.0358      0.065     -0.553      0.580      -0.163       0.091\n",
      "Tortilla        -0.0074      0.062     -0.119      0.905      -0.129       0.114\n",
      "Temp            -0.1398      0.036     -3.879      0.000      -0.210      -0.069\n",
      "Meat             0.2040      0.058      3.545      0.000       0.091       0.317\n",
      "Fillings         0.3602      0.074      4.857      0.000       0.215       0.506\n",
      "Meat:filling     0.3521      0.049      7.228      0.000       0.257       0.448\n",
      "Uniformity      -0.2171      0.093     -2.344      0.019      -0.399      -0.036\n",
      "Salsa            0.5948      0.119      4.999      0.000       0.362       0.828\n",
      "Wrap            -0.0326      0.036     -0.909      0.364      -0.103       0.038\n",
      "Cost             0.0336      0.054      0.626      0.532      -0.072       0.139\n",
      "================================================================================\n"
     ]
    }
   ],
   "source": [
    "# Compare GLMs for me and others\n",
    "m_lm = ['Hunger','Tortilla','Temp','Meat','Fillings','Meat:filling',\n",
    "        'Uniformity','Salsa','Wrap','Cost']\n",
    "\n",
    "df_scott = df_use[df_use['Reviewer']=='scott']\n",
    "df_emily = df_use[df_use['Reviewer']=='emily']\n",
    "df_ricardo = df_use[df_use['Reviewer']=='ricardo']\n",
    "df_notscott = df_use[df_use['Reviewer']!='scott']\n",
    "\n",
    "# Remove incomplete data \n",
    "dffull = df_scott[np.hstack((m_lm,'overall'))].dropna()\n",
    "\n",
    "# Run model and display results\n",
    "X = sm.add_constant(dffull[m_lm])\n",
    "y = dffull['overall']\n",
    "my_glm = sm.GLM(y,X)\n",
    "res = my_glm.fit()\n",
    "print('Explained variance: {:.1f}%'.format(100*(1 - np.var(res.resid_pearson) / np.var(y))))\n",
    "print(res.summary())\n",
    "\n",
    "# Remove incomplete data \n",
    "dffull = df_notscott[np.hstack((m_lm,'overall'))].dropna()\n",
    "\n",
    "# Run model and display results\n",
    "X = sm.add_constant(dffull[m_lm])\n",
    "y = dffull['overall']\n",
    "my_glm = sm.GLM(y,X)\n",
    "res = my_glm.fit()\n",
    "print('Explained variance: {:.1f}%'.format(100*(1 - np.var(res.resid_pearson) / np.var(y))))\n",
    "print(res.summary())\n",
    "\n",
    "# Remove incomplete data \n",
    "dffull = df_emily[np.hstack((m_lm,'overall'))].dropna()\n",
    "\n",
    "# Run model and display results\n",
    "X = sm.add_constant(dffull[m_lm])\n",
    "y = dffull['overall']\n",
    "my_glm = sm.GLM(y,X)\n",
    "res = my_glm.fit()\n",
    "print('Explained variance: {:.1f}%'.format(100*(1 - np.var(res.resid_pearson) / np.var(y))))\n",
    "print(res.summary())\n",
    "\n",
    "# Remove incomplete data \n",
    "dffull = df_ricardo[np.hstack((m_lm,'overall'))].dropna()\n",
    "\n",
    "# Run model and display results\n",
    "X = sm.add_constant(dffull[m_lm])\n",
    "y = dffull['overall']\n",
    "my_glm = sm.GLM(y,X)\n",
    "res = my_glm.fit()\n",
    "print('Explained variance: {:.1f}%'.format(100*(1 - np.var(res.resid_pearson) / np.var(y))))\n",
    "print(res.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "scott           121\n",
       "emily            47\n",
       "ricardo          16\n",
       "sage             12\n",
       "elynn            10\n",
       "luis              9\n",
       "richard           9\n",
       "brent             8\n",
       "tom               6\n",
       "erin              6\n",
       "matteo            4\n",
       "hannah            4\n",
       "erik              3\n",
       "bankole           3\n",
       "marc              3\n",
       "aga               2\n",
       "katie             2\n",
       "nuttida           2\n",
       "sankha g          2\n",
       "kelsey            2\n",
       "cris              2\n",
       "tara              2\n",
       "mike              2\n",
       "devleena          2\n",
       "ben s             2\n",
       "sandra            1\n",
       "simon             1\n",
       "daniel a          1\n",
       "erik k            1\n",
       "eli               1\n",
       "               ... \n",
       "brad              1\n",
       "torben            1\n",
       "xi                1\n",
       "@synapticlee      1\n",
       "rob l             1\n",
       "tammy             1\n",
       "dan               1\n",
       "leo               1\n",
       "chris g           1\n",
       "benni             1\n",
       "han mee           1\n",
       "rob               1\n",
       "nihal             1\n",
       "jaeyoung          1\n",
       "brad p            1\n",
       "javier            1\n",
       "melissa g         1\n",
       "justin k          1\n",
       "aaron s           1\n",
       "andy              1\n",
       "alex              1\n",
       "@danjlurie        1\n",
       "sam a             1\n",
       "matt              1\n",
       "spencer           1\n",
       "jake              1\n",
       "daniel            1\n",
       "shijia            1\n",
       "alejandro         1\n",
       "jeremy            1\n",
       "Name: Reviewer, Length: 69, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_use['Reviewer'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "lucha libre north park             27\n",
       "california burritos                26\n",
       "taco stand                         23\n",
       "rigoberto's taco shop              22\n",
       "taco villa                         17\n",
       "vallarta express                   13\n",
       "los tacos                          13\n",
       "lolita's taco shop                 11\n",
       "los primos mexican food             9\n",
       "valentines mexican food             8\n",
       "el zarape                           8\n",
       "cancun mexican & seafood            6\n",
       "california burrito company          5\n",
       "lupe's taco shop                    4\n",
       "mikes taco club                     4\n",
       "los tacos 2                         4\n",
       "rigoberto's taco shop la jolla      4\n",
       "tony's fresh mexican food           4\n",
       "ortiz's taco shop #2                4\n",
       "caliente mexican food               4\n",
       "el dorado mexican food              4\n",
       "porkyland                           4\n",
       "burros and fries                    4\n",
       "roberto's taco shop clairemont      4\n",
       "taco stand encinitas                4\n",
       "taco surf pb                        3\n",
       "colima's mexican food               3\n",
       "pollos maria                        3\n",
       "los panchos taco shop               3\n",
       "donato's taco shop                  3\n",
       "                                   ..\n",
       "el rey moro                         2\n",
       "lola's 7 up market & deli           2\n",
       "don carlos taco shop                2\n",
       "karina's taco shop                  2\n",
       "carmen's mexican food               2\n",
       "senor panchos                       2\n",
       "los palmitos                        2\n",
       "nico's taco shop                    2\n",
       "albertacos                          2\n",
       "filiberto's                         2\n",
       "lourdes                             2\n",
       "oscar's mexican food                2\n",
       "mi asador mexican & seafood         2\n",
       "gloria's taco shop                  2\n",
       "netos mexican food                  2\n",
       "kotija jr                           2\n",
       "rudy's taco shop                    2\n",
       "rubios ucsd                         1\n",
       "king burrito                        1\n",
       "el indio                            1\n",
       "la perla cocina                     1\n",
       "cortez mexican food                 1\n",
       "chipotle                            1\n",
       "el pollo loco                       1\n",
       "jose's taco                         1\n",
       "goody's                             1\n",
       "lalo's tacos                        1\n",
       "jv's mexican food                   1\n",
       "la morena taco shop and seafood     1\n",
       "el torrito foods                    1\n",
       "Name: Location, Length: 73, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_use['Location'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Compare restaurants in each dimension"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/scott/anaconda/lib/python3.6/site-packages/ipykernel_launcher.py:23: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/Users/scott/anaconda/lib/python3.6/site-packages/ipykernel_launcher.py:37: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(0, 1)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
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ZNm1aXnvttfTt2zc9evRYLFTK8rMsjsHtt98+LVu2zLvvvpunnnoqf/rTn1K/fv1q133mmWfy1VdfJUmNbegNN9yQu+66q8q8qVOnZsiQIRkyZEjOPvvsXHDBBdWu+9xzz+Xiiy8u7KPSlClTMmXKlPz73/9OmzZtcsMNNywxuHvfffflpptuqrL/2bNnF4I/5eXl+eMf/7jY/YspU6bkgQceyGOPPZYbbrih2m1rY1detWrVym677Zann346b775ZubPn79Yb5SVvfs0b948LVu2TLIwBDR+/Pi88sormTt37mLXUJXnAg0bNlwsPFHpsssuy+OPP174edKkSVW285///Ce//e1v8+mnny627hdffJEvvviiEJrr1avXEgMdPXv2TLdu3apcx3388cfp27dvHnzwwdx22216KCoCgwcPzh/+8IdCr1KVPvvsszz11FN56qmnsttuu+WWW27JuuuuW1jeoUOHDBs2LOXl5XniiSdy0kkn1biPRx99NEmy+eabL3bs/utf/8q1115bCMNVmjRpUiZNmpSHHnooxx57bK6++uoar3eT5Kabbsqdd95Z+PnTTz+t0kOncwgAWLkJ/7DS+Oyzz3LSSScVbibvueee6dixYzbddNN8+eWXGTJkSB5++OFMmzYtp556anr16pWdd9652m3df//9KS8vT6dOndK+ffvMmDEjr7zySk466aQceOCBGTx4cO64444kyY033pj/+q//+s63rn+syy+/vBD82WmnnXLssccWbox/9NFH6d+/f956662UlZXlyiuvzN577/2dD5UoLmVlZTn99NMLbysdcsghadeuXVq0aJFZs2blhRdeSP/+/TNjxoyceeaZSzzG+/fvn+nTp6dly5Y56aSTssUWW+Sjjz7KzTffnM8//zxvvvlmzjnnnAwfPjwtWrTIaaedlp///OeZNm1aevTokZdeeikzZ85Mt27dcvvtt1e7j0cffTRTp07NWmutldNPPz277rprZs2alQceeCBDhgzJlClT0rlz5zzxxBNueq1CDj300Dz44IOZOXNmRo0alV/84heLlZk/f37hQUPbtm2XuL333nsvXbp0yZw5c9KoUaN06tQpe+21Vxo3bpzJkyfnsccey9ChQzNmzJiceuqpGTBgwGKhhPPPP79wc27vvfdOhw4d0qJFi5SVleWjjz5Knz598t5772XOnDm5/PLLM2zYsMKNiYceeiiff/55zjjjjCQLe5I4/vjjk0QvayxzU6ZMycUXX5zatWvntNNOy7777pt69erl1Vdfze23356vv/46I0eOTM+ePQvHZKXXX389v/3tbwvBkxNPPDGtW7dO7dq18+KLL+aee+7J448/XuNNupdffrkQ/Nlmm23SpUuXbLHFFikvL88HH3yQnj175v3338/IkSNzyy235PLLL/8pvpKioe2r6rjjjstBBx1U4zaaNWv2ndtYns4555xMnTo1hx12WNq3b5+mTZtm/Pjxuf322zNhwoRMmTIlXbt2XexB5axZs9K5c+fCQ5pDDjkkHTp0yDrrrJN33nknd911V959990aHw6u7n7o916d888/P126dMlbb72Vq666Kkly3nnnFXq82XDDDZMsHMrjrLPOKpw/t2zZMieeeGJatmyZOXPmZPjw4enXr1+++eabXH755SkvL8+vf/3ravc5fPjwlJeXp02bNvnNb36TBQsWZOjQoYWh/ypNnDgxV111VRo2bJhzzjknu+22W6HXilGjRmXmzJm56qqrMnny5MyZMydnnHFG9t1339SuXTv//ve/06dPn1RUVOT//t//m0MPPXSJD7OThQ+QH3roofTv3z8DBgxIktxxxx1Zb731Cm3+r371q9x8882ZP39+HnnkkRofTD///POZMWNGkoUPs/n+jjnmmNx1112ZM2dOJk+enBNOOCEtW7bMgQcemD333DM77bRTlV5GluSBBx7IzTffnCTZYIMN0rlz5/zsZz9Lo0aN8sknn+SZZ57JY489lvLy8vTv3z8HHnhg9ttvv6Xa9h133FH4m3TQQQflyCOPzAYbbJCvv/46Y8eOzT333JMZM2bkjjvuyE477ZQ2bdoU1i0tLc1pp52WCRMmJPl/16Xrr79+Zs+enfHjx+fee+/N5MmT8+WXXxZ6HeSnsayOwQ4dOuT666/P7Nmz8/TTT9cYUqt8oahp06bVHn9PPPFEpk6dmg033DAnnXRSdthhh3zzzTeFXogrKiry3//932nduvViD6JHjRqVs88+OwsWLEjTpk1zwgknZNddd039+vUzYcKEDBw4MKNHj86wYcNy7rnn5u67765xCMi//e1v2XDDDXPBBRdkk002yRtvvFHlRaY///nPheDPpptumtNPPz1bb711vvzyyzz00EMZMmRILrroosWCeIk2dmW355575umnn87cuXMzbty4bL/99lWWVw7bu+gLdPvss08hqDt69OjFepd69dVXkyS77bZbtddX7777bt5+++3svPPOOfPMM1O/fv08++yzhV4Jp0+fnlNOOSUzZsxI7dq1c9RRR6V169Zp1qxZZs6cmXHjxqVnz56ZPn16JkyYkOuvv77w9+Dbxo0bl5EjR6ZOnTo58cQT06ZNm8JQw/fdd1/hXGPgwIHZZpttfvgXyXL15JNP5qKLLkp5eXnq1q2bjh07pk2bNllrrbXywQcfpF+/fhk7dmxefvnl/OY3v8mAAQMK9/1bt26dJk2aZMaMGXn88cdrDP+89dZb+fDDD5NksXZq0KBBhXPqjTfeOJ07d87222+f2rVr5/3330/fvn0zbty4DBgwIGVlZfnLX/5S7T5mz56dO++8M1tttVXOPffcNGvWLC+++GLh+tg5BACs/IR/WGlcf/31heDPmWeeWehqv9IBBxyQgw8+OOedd17Kyspy8cUXZ8iQIdVepJWXl+fYY4/NH//4x8K8gw46KMnCt6gqL/KShUn5bbfddnl8pIJx48blySefTJLsvvvu6dGjR5U3VXbbbbccffTROe200zJ8+PDCg6fKOrNquPPOOzNmzJiUlJTk+uuvX+xCbZ999smvf/3rdOrUKTNmzMgVV1yRJ554otpg2vTp09OqVavce++9hYeFO++8c7bccst07NgxycIbU1tssUUGDBhQ5Y3m/fbbL0ceeWTee++9vPDCC5k3b161Nw+nTp2apk2bpm/fvlVuqu2///7p3r17br311kybNi3/+Mc/qvyuUdz23nvvNG7cOLNmzcqTTz5Z7QPwkSNHZsaMGWnYsGFat269xO1dcsklmTNnTjbYYIP07t27ykPnVq1apW3btunbt2+uueaavPvuu/nnP/+Ziy++uMq+Ro8enSQ5+OCDc+utt1bpInmvvfZKx44dc/zxx+eNN97Ip59+mjFjxhTejt12223TuHHjQvnmzZsv9zafZeuTTz5ZrEfA6qy//vpV3p5bEWbOnJmGDRumX79+VY6zXXbZJbvvvnuOO+64VFRU5MEHH6wS/ikvL88111xTCP706NGjyhAPu+66a9q2bZvOnTtn2rRp1e570KBBqaioSJMmTdKnT58qx/0uu+yStm3bpkOHDvn4448zcODAXHLJJTU+XFkdra5t31FHHbXY0EqV5Zs3b77Stp9Tp07NddddVzjnSZIddtghBx10UNq1a5epU6dmxIgRmTp1apUh/2699dZC8Oeiiy6q8nu44447pn379jnttNNqHFZidfdDv/fqtGjRIi1atKjSE0SLFi0WO8Z69OhRJTh/0003Vbn+23vvvXPEEUekS5cumTlzZv70pz9l3333rfbt+vLy8uyyyy657bbbCufX++6772LlvvrqqzRo0CD9+vXLVlttVZi///77p02bNoWgfd26dXPvvfdml112KZTZddddU7du3dxzzz2ZPXt2Xnzxxe+8pmvSpEmaNGlS5Tvbcsstq/Sg1KxZs+y333555plnMmrUqHzxxRfVhvAWfYhfXTvGd2vevHn+/ve/59xzz01paWmS/9fz6X//93+nbt262W677bLXXnuldevWadWqVbXDaVZUVBSG5VhrrbXSp0+fKkMuVw7HucMOOxSGHP/3v/+91OGfBx54IEkKPfotaq+99sr++++fX//615k/f37uv//+KuGfyiFKkxSGdFrUvvvum6OPPjqHH354Jk+enNdffz2ffvrpYkNMsnwsq2PwiCOOyE033ZT58+fn0UcfrTb8M3369Dz//PNJFg599e0eVZKFbf9WW22Vvn37VrmvsNdee6VFixa58cYbkyzsMW3R8M8333yTSy65JAsWLEjLli1z7733VjlX32GHHfKrX/2q0KvQqFGjcv/99xeCxt9WUlJSpefhRdve//3f/02/fv2SLDzP6tGjR5XgZZs2bXLPPffUOPyZNnbltuiwcmPGjKkS/vnss88KvY8s2jNOZainrKwsI0aMqBL+mTBhQqHXvpp60ykvL8+mm26aHj16FHrNWrQePXv2LATBLr300sXCGvvvv386dOiQ9u3bZ9asWRk6dGi1vRYlC4eJqlu3bu66664q+9hzzz2zxx575He/+13Kyspy3XXXpU+fPkv+slghvv7661x99dUpLy9PgwYNctddd1Xpsa2yvbv66qszcODAvPfee/nb3/5WCOvUq1cv7du3T9++fTN27Nh8/PHH1b6w8dhjjyVZ2B4uek/5s88+KwyXvNdee+Wf//xnlRdLdtppp3To0CGXXXZZHnvssQwaNCht27atth0rLy9P48aN06tXr0KbvehncQ4BACu/5dvVCSylTz75pDCMwo477pgLL7yw2nIHHnhgunTpkiSF4StqUtMNgxXhvffey2abbZZ69erlt7/9bbUXe8nCmy2Vvj1EBMWttLQ0vXv3TrLwwUVNb5JtueWWOf/885MsvCFReSOuOhdddNFivQS0atWq8KZ0klxwwQWLDWVQp06dwo2PsrKyKsPjfdvVV19d7bBg55xzTn7+858nWdi7wLe7lKV4VQ5/kyRDhw6tMmRcpcquzg844IAlDkH0wgsvFEIbl112WY29TZxwwgnZfffdkyzs1WrRITY+/PDDbLLJJqlbt27OPffcam9s165dO+3atSv8/Pnnn3/Xx6SI3HrrrTnyyCO/898jjzyyoquaZOH5R3UBiR133LHQ3fUHH3xQeJiTLHzz9D//+U+S5JRTTqkS/Km05ZZbLrG3nqlTpyZZ+DBi0cBGpTXXXDMXXHBBTj755Fx44YXa7W/R9hWX7bffvkoApdJaa61V6JWpoqIi77zzTmHZvHnzCj0C7LTTTov1vpUs/D258cYbazxXX939kO/9x1iwYEF69uyZZOGD2b/85S/Vvvix7bbb5oorrkiy8P+5V69eNW7z2GOPXaoeX4877rgqwZ8kqVu3bqGdSJLDDjusysPnSouW+fbwcj9GZVBvwYIFhWvnRc2cObPQ0+xhhx3mOP4R9t9//wwaNCg77bTTYsvKysoyZsyY/POf/8wxxxyTX/7yl4W/D4uaPHly1l577TRu3DhHHXVUleDPoo444ojC9Pe5B1D54HqzzTardvk222yTs88+O2eddVaV+wzJwuE/WrRokfr16+fss8+udv1GjRpVOZbdn/hpLYtjsDLQkiwcFmn69OmLlRk8eHDh/GNJwyZecskl1Q6ReMwxxxTOUb7d9j/yyCOF89M///nPNYb0L7zwwsJxvKT2e/fdd69xyPHevXunvLw8JSUl6datW7U9rp1yyilLHCJVG7vyatmyZSGM9e2A9vDhw5MsDEMs2vNPo0aNCmG0ymHBKi06/OeShtLq0KFDjcPlff7551lvvfXSvHnznHDCCdWWWX/99Qvn+vPmzSuEhapzxhlnVAn+VDrkkEMKbfjLL7+c8ePH17gNVpyBAwcW/n/PO++8aodqrFWrVv74xz9m8803T7Jw1IJFj4lFexOr7nlHeXl5Yf5uu+2WjTbaqLCsX79+mTt3burUqZPrr7++2iG+69Spk65duxbuFSypvT3kkENqbLOdQwDAyk/4h5XCCy+8UBjXeNGbB9Xp1KlTYbryIu/bGjRoUBjneWVwxBFH5Mknn8zYsWOXeLNh0bc9F30oSPEbO3ZsobeGRW9IVGfRNy9GjRpVbZk11lij2ocNSaq86VzT8da0adPC9Jw5c6ot07x58xxyyCHVLispKSncHJwzZ05efPHFastRnCqHv5g+fXqh54lKZWVlhSEGFn3oXJ3Km6PJdx/3lYG0r7/+Om+++WZh/gknnJChQ4dm7Nj/v707D6g5+/8H/my5iRZFxZcIIVmyDqWMJWso+5LJzJjGzBhmGGOMGfsstjHNWMcYZBCyZZtEiylEg5SiokhlKaVF2237/dHvvj/3ukuL0uL5+Md173nf97m39z333HNe53XCVaa4ZvtJtYWiLBIS0kEg2dnZwm1/f3/htqIsLBIODg7Q19dX+Fi7du0AALGxscJ2NK8aPXo0vv32W8yYMUPhgODbjm1f3aHqfVX2OQsODkZubi4A1Z8zU1PTMv9ub6vKvO+vIyIiQpgUGTt2rMotkceMGSNMZqgKnn91SxpllPWhpfvZiibpAMhMlijrZ1eGZEsIAAoDXr29vYV2QNU1TuXToUMHHDp0CCdPnsScOXOErTNe9ejRI8yfPx/z58+XCRw1NTXFqVOncP36dSxevFjpefT09ITJ5Yq045Lv/aNHj8Ld3R1ZWVlyZebOnYsFCxbIZXxZsGABAgICEBoaqjJr4tv6HVNbvO41CPyvLSgoKFAY0CJpSywtLZX2NzQ1NZW2d40bNxaCgl5t+yX9IT09PVhZWSl9nZqamsL3S1xcnNJJ4u7duyu8v7i4GP/++y+A0jZeWYAQUBoAqgzb2NqtX79+AOSDfyRbfkkHCEkou64kwT/GxsYqx45V9RnWrFmDoKAgBAYGKt2WGZDdKldZO6qmpiYz1v0q6e1MpX83Uu0hCTDT0NBQGCgvoaWlJTyen58v85vTyspK+G5XFPxz7do1YbHHq9sOStpbc3NzhdkvJfT09NCrVy8ApZ8D6cUn0lRd++xDEBER1X5cpkC1giRFK1D2gGyrVq3QtGlTpKamIiYmRmEZExOTWrmVhXRQU0pKChISEhAfH4979+4hIiICt27dEh4vLi6uiSpSNZHesmbZsmVYtmxZuY5LSEhQeL+JiYnSAQYtLS3hX0Wr86TLABAC717VvXt3lSujO3fuLNyOi4uT20Od6i5bW1th+5tz587JTIBdvnwZmZmZ0NXVLTPVufR1L1nxVh4JCQnCgISE5FosKSlBcnIyEhIS8PDhQ9y/fx+3b99GWFiYUJbtZ/2yZs2aOjXALr0C71XSATfSkzNRUVEASgfjJCsBFRGJRLC0tMS1a9fkHpsxYwaOHj2K7OxsHDlyBEeOHEGHDh3Qv39/9O/fH3379mXATxnY9tUd0tshvUrZ50z679K1a1eVz29lZSVMJNY1qhZRlJey/l9l3vfXIf1bT9mkr4RIJEKXLl1w9epV3L9/H8XFxQpfh3SGTFWUvVbpPrSJiUmZZZT1sytDS0sLY8eOxb59+3D79m08fPhQ5jtDsh1Np06dVAYNUsVI3s8vv/wSWVlZuHHjBoKDg3Hp0iXcv39fKOft7Q0jIyNhCw9pkmvx5cuXSEhIwKNHjxAbG4u7d+/ixo0byMvLA1Cx62X27NlYsGABCgoKsGbNGmzYsAE9evSAjY0NbG1tYWVlVeaYiKReRUVFePr0KR49eiSMT4SFhQlZCYG36zumtnmda3Dw4MEwNDTEixcvcPr0aZkMJfHx8cIY1KsTydKaNm2qcJtwiUaNGiE9PR2FhYUy90u+d7OysoTsl+WRkJCgcPJaWfudkpKC1NRUAGV/v6v6LmEbW7tZW1vj7NmzePLkCZ49e4ZmzZqhuLgYV65cAaA4QNnW1ha//fYbACAkJETIoCMJ/lGV9QdAubYpkrSjBQUFePz4sdBXj4mJQWhoqExfRlk72rp1a4XbzElIsm4DpWNvVPtI5jXatm2rdLGOhPS8R0xMDIYPHy78f/z48di4cSPu3buH6Ohombbz9OnTAEoXPEsv1CwsLBSus1ePUSU3NxepqakKr/OKXPvsQxAREdU+DP6hWkE6zaWqqHEJSfCPspSpilL81gb+/v44dOgQrl+/rnBFbHlS0FPdpCjFdnlkZmYqvF/VymeJ101DrWxCQ0L6sypJ5031g5aWFoYMGYKTJ0/C19cXK1asENonSUp5e3t7mcktRarqui8pKYG3tzc8PT0RFhamcBU920+qLVQF2EhPyktP8Em27pCsNlZFOnObNDMzM+zatQvfffedMCh879493Lt3D3v37oWWlhZsbW0xbdo0DBo0qDwv5a3Dtq/uqMznTDIxCACGhoYqn1/Z56wukA4Or0gQjiT44NXnkFaZ9/11SP/WK8/fRDJxVlxcjKysLLkgeJFIVObnV6I8fe2aWGwyYcIEYSvh06dPY968eQBKJ8tv3rwJQPXWPfR69PT0MGjQIOF7NCIiAuvXrxeCcg8dOgRXV1eZSbPY2Fjs2bMHgYGBCjOaVDZgz8HBATk5OVi/fj0yMjJQWFiI69ev4/r169i8eTMMDAyEbdMVTQQWFhbiw5qBAgAAIABJREFU2LFjOHHiBCIjIxWuyn9bv2Nqs4pegyKRCGPGjMG+ffsQGhqKhIQEYQs6STCLpqam3NZw0soKHpdcw6+2/VU9BqJsnE/SjwZe//udbWztJZ196saNG3BwcJDJEKgo+Kdr165o3LgxMjIyhOCfZ8+eCYvsygr+KWtsOTc3Fx4eHjhz5gxiYmLkAuCA0na0rMCHssbe9PT0IBKJUFBQIHO9U+0huQ7LO6fx6nESjo6OcHNzE7b4knx/i8ViXLhwAUDp71HpazMzM7PSwTUZGRkKA33KuvbZhyAiIqrdGPxDtUJFB4glndq60pEsKirCN998gzNnzsjc37JlS7Rt2xadOnVCz549oaGhgU8//bSGaknVSXryZe3ateVeKaZsoO1NTDaUdQ7pH5eq0hxT3TRy5EicPHkSz58/x40bN/DOO+9ALBbDz88PQNnb3gAQBr8MDQ2xZ8+ecp9beqVnfn4+vvjiC5ltdNTU1GBqaop27drB0tISvXr1Qnp6Or755ptyn4OoNpGk2y7PoJ2qScKePXvi7NmzuHbtGi5cuICgoCA8evQIQOmAYUBAAAICAuDo6Ih169bVmX7Um8S2r/6SHpQu67NWFdlzaor0auOKbL8lXbasFctvSkV/I0r3txW1bxX5u9bGLLJAaebNTp06ISoqSmZiuryT+KSaWCwWsoh06NABDRs2VFm+a9eu2L17Nz766CNcvXoVBQUFCAkJgaOjIwDg2LFjWL58ucyEsIGBAdq1a4cOHTqge/fusLW1xahRoyq1RdykSZMwevRo+Pv7w8/PD5cvXxYmEtPT03Hs2DF4eXlh6dKlMlvKvHjxAh9//LHMdpMaGhowMzMTvmP69OmD8PBwbNy4scL1osqr6msQKN0ySDqgZc6cOQD+t7XVgAEDqiXoVXLdW1hYYN26deU+TlnmNWVtuPS2NWV9b5T1PcA2tvZq3bo1WrRogcePH+PWrVtwcHAQtvxq0KAB3nnnHblj1NXVYW1tDR8fH2F7pRs3bgiPK9viU0LV9ZKQkICPPvoI8fHxwn0ikQht27ZFu3bt0KVLF/Tt2xcnT56Eh4eHyvOUp88h6bty7K12qkifVfp3yKv91ebNm8Pa2hpXrlzB2bNn8dVXXwEo3dZLEhj5agCidB9jwIABWLhwYbnrYmZmpvB+Vdc++xBERES1H4N/qFaQXpWZlpZW5modyUoHZVsa1TZ79uwRAn/at2+PefPmoX///nID6wEBATVRPXoDpK9VfX19WFpa1mBtyicjI0Pl42lpacLtslYqUd1jZ2cHXV1dvHz5Ej4+PnjnnXdw6dIlYSW9opV1r5JkMcnJyYGFhUWlAg02bdokTH537doVn3/+Ofr27Su3Eun48eMVfm6i2sLQ0BAPHjzAixcvUFJSUuZgmyrq6uqwsbERBrMTExMRHByMgIAA/PvvvygsLMSpU6dga2urcouHtxXbvvpL+vdFWlqayi36KputoDaQ3hbl6dOn5T5OEiiopqamcLuVmiCdDU06c5MykjIikahcmXvqqvHjx2PNmjWIj49HZGQkunTpImQnq65J/LfFli1bsGPHDgDAzp07y9zmESgNBnBxccHVq1cBQMjuEx0dLQT+6OjoYN68eRg2bJhcYENxcbFM5q2KatiwIUaPHo3Ro0ejpKQEUVFRuHz5Ms6fP4+wsDAUFRXhp59+woABA4SML6tWrRIm7ezs7ODq6oqePXtCW1tb5rn/+++/SteLKqcqr0EJS0tLIaDF29sbc+bMQXh4uJD9pLoy2RgYGCAlJQX5+fnVOv7x6ve7KuX5fmcbW3tZW1vj+PHjiIiIAADhmu/du7fSrelsbW3h4+ODhw8fIj09Xcjg1L59+9fq7yxcuFAI/BkzZgzee+89dO3aVS4459ChQ2U+V1ljb+np6UKAs7GxcSVrTNWpcePGSE5OLrMNAmSzlSma1xg3bhyuXLmCxMREhIWFoXv37sKcgomJiVzGKun+cnFxcbWPN7MPQUREVPtxuS/VCtJpqMPCwlSWjY+PF1aztWvXrlrrVVUkqzxEIhH27NmDkSNHKlxR+/jx4zddNXpDOnToINwu6xp/9uwZtmzZAi8vL2Hf6JoQFRWl8nHpVR7l3VOa6g7J9jcAcOHCBZSUlODcuXMAgKFDh5ZrxZnkus/Pz8fdu3dVlg0MDMTu3bvh4+MjDJgUFRUJg2X6+vrYu3cvhgwZojAFMdtPqsskA3Q5OTl4+PCh0nLFxcVKP0svX76UmciRMDU1xeTJk7Ft2zZs2rRJuF86owz9D9u++kt6IPzOnTsqy0ZGRlZ3daqNdHZJyeRYWdLT04W2w8zMrNYEzkj3L8PDw1WWFYvFwt/VzMysXmc2c3R0FNoiPz8/xMfH4/79+wC4Hc3rkl4BHxgYWO7jpD8zksnkw4cPC6vxly9fjg8//FBhRpOnT59WaruO58+fIyQkBFlZWcJ9ampqsLS0hKurKzw9PfHBBx8AKM0KEBQUBKA0SM7HxwcA0KZNG+zYsQM2NjZyk3YAv2NqQlVeg9ImTJgAAIiJiUFCQoKQ0dDAwACDBw+ubHVVkvSH4uPjy5wQP3v2LPbu3QtfX98KZ8Fq1aqV0Ecq6/u9PN+LbGNrL8nWX3fv3oVYLBbG1lQF50sHSkRHRwvBP2Vt+aXK7du3hXP369cPGzduRM+ePRX+TihPOxobG6tw2yTp80mUN4s4vVmSPuuDBw+Ubl0oIT0mrGheY/jw4UKbfuHCBWRnZwu/3ceOHSvXx9XS0hK+OyIjIxVuPyft4MGDOHDgAC5evFhm2VexD0FERFQ31N8RMapT+vfvL3RePT09VabLPHjwoHC7PKuvFXmTqfwLCgqQlJQEoDRCX1mGlJKSEpltwaTT1lPd16tXL2ELrxMnTiA3N1dp2d27d2Pz5s1YvHgxLl269KaqKCcmJkbppGVxcTFOnDgBoHTlUa9evd5k1egNGTlyJIDSSYmbN28K2cnKs+0NULoKSEJVquuioiKsWrUK69atwxdffCF8PtLS0vDy5UsApWm+le07XlBQIEzOS55PWn2eAKT6QXrS5fTp00rLXbx4UeGK5SdPnqB3796YPHkyNm/erPT4AQMGCJ+H/Pz816hx/ca2r37q37+/MDCt6nOWmppaoQnX2sbKykpYRezj41Ou7D8nT54Urp9BgwZVZ/UqpHPnzsJq5tOnT6ucED59+rTwuXmdCb2aVN7fqE2aNMHAgQMBAL6+vm9kEv9tMWjQIGHy9tixYyoDcqVJJuU0NDTQu3dvAJDZCqZLly5Kj5VsvQSg3JNwJ0+ehK2tLVxcXIRJOEUk1wnwv60PExIShGAjCwsLaGoqTgiemZkpEyjM8Yk3oyqvQWljx46VCWjx9/cHAIwePRpaWlqvX3EFJP2hkpISldlPsrKysGzZMvz8889YtGhRhcfr1NXVhWv91q1bQiY7Rby8vMp8PraxtZck+CcnJwdnzpwR+s6qxoZbtWqF1q1bAygNJI6Ojgbwen0F6WtMVfuemJgoBBsByttRsVgsZJdS5NixYwBKr/WhQ4dWtLr0Bkjau6KiIhw9elRpObFYLPw9NTU10a9fP7kyDRs2xIgRIwCUttcXL14Ufrsry9wrOX96ejrOnj2r9Pzx8fFYvXo1Vq9ejR9++EFpH0AZ9iGIiIjqBo4IU63QsmVLDBs2DAAQGhoqszJdmr+/P/7++28ApauZyjsJ8yrpwY2KriqqKJFIBD09PQClUe+SFUPSioqKsH79epkfhapWfVDdo6Ojg6lTpwIAkpOTsWTJEpm96SWuXLmCAwcOCMfU9Mqy77//XphIkebm5oaYmBgAwMyZMznBWE8NGDBAmHReu3YtMjMzYWhoKAy6lWXo0KHC9gLHjh2TmdyQtmbNGiQmJgIA7O3tha1Y9PT0hMGE+/fvK1w5JBaLsWLFCpksWa+2n2+yzSeqDDs7O7Rv3x4AsGvXLoUZLp4+fYoff/xR4fH/93//J6wC9fb2RmhoqMJyZ8+eFQbrunXrVhVVr5fY9tVP+vr6woD5f//9h3379smVEYvF+Pbbb+t0cJxIJIKzszMAIDc3F/Pnz1eZceHWrVvCb68GDRrgvffeeyP1LA+RSAQXFxcAQEpKCr777juFwRFRUVFYt24dAEBbWxszZsx4o/WsKhX5zEqyeERHR+Pw4cMASgMUq2sS/23RtGlTzJw5E0Dp32DWrFm4fv26ymO8vLywf/9+AKVbv0jacumtiJQFFP7777/YunWr8P/yjgHY2toKgRzbt29XupWRdKBj165d5eoVGhqq8Lfey5cv8fXXX8u0HRyfeDOq8hqU1qRJEyG48+DBg8Jv+ercAnby5MlCf2r79u0IDg6WK1NcXIxvv/0W2dnZAIBJkyahYcOGFT7XzJkzoaamhpKSEixZskThYisvLy+cP3++XM/HNrZ2atasGdq2bQsA2Lt3L4DSz0xZ2XAkgT5eXl4oLCyESCRC3759K10P6XY0ODhYYd8kJSUFX375pcy4n6p2dMOGDXIZXIHSAFFJYNDo0aO57VctNXHiRCHD/+bNmxX+Hi8uLsbq1auFoM5x48ahSZMmCp9P0jbHxcVh9+7dAEoDzTp27Kiw/MyZM6GhoQEA+Pnnn4UgN2m5ublYtGiRMB4g6WNXBPsQREREdUPFwnuJqtGyZctw8+ZNpKSkYNu2bQgNDcXkyZPRqlUrvHjxAufOnYOXlxeKi4uhoaGBjRs3VjolvXT2nZ07d6JBgwYoLCxEnz59qurlyBg1apSQ0ejDDz/Exx9/jM6dO6OoqAj37t3D0aNH5TKsSKfvpvph3rx5CAwMRGxsLLy9vREbG4uZM2eiQ4cOyMjIQFBQEA4fPiwMDnz33XcyezfXhMjISIwfPx6zZ89Gx44d8fz5c3h6egorOCwsLPDhhx/WaB2p+mhpaWHw4ME4ffq0EIwwfPjwcq8O0tTUxLp16/D++++joKAA33zzDQICAoRBq6SkJBw+fBhXr14FULrf+XfffSccr62tjcGDB+PChQvIy8uDi4sLXF1d0bFjR4jFYkRFRcHT0xNxcXEy5321/TQ0NIRIJEJBQQHOnDmD/v37Q19fH2ZmZjX+GSMCSrM9rFq1Cu+//75wrbu4uGDAgAEQiUQIDQ3FX3/9pXIC/8svv8Rnn30GsViMDz74ANOmTUPfvn1hZGSE58+fIzAwUFhl2KRJEyE4gOS9TW3f8ePHsWTJEgClW1msXbu2cm9aHbFgwQL4+/sjOTkZP/74I0JDQ+Ho6IgmTZogNjYW7u7uctuevsmMoVXls88+Q1BQECIiIhAaGorRo0dj/Pjx6NWrF0xMTJCfn4/ExEQEBgbi/PnzKCwshJqaGlasWCEErtUWs2fPRkBAACIiIuDt7Y24uDi4uLigY8eOyMnJQVBQEA4cOIC8vDwApf3nNm3a1GylK0n6N+q2bdswa9YsFBcXo0ePHnJlBw4ciKZNmyI1NVWYRKrpRQP1xcKFCxEfHw9fX18kJSVhxowZsLGxgb29Pdq2bQt9fX1kZWUhJiYGPj4+wgSfhYUFli9fLjzPqFGjhOAbNzc3pKSkwNbWFrq6ukhKSoKPj4+wvaSEokk0RYyMjODi4oLdu3cjMTERjo6OeP/999GpUyfo6OjgyZMnOHHihBB0ZG1tLYx1mJmZoXPnzrhz5w6Sk5Ph7OyMWbNmwczMDNnZ2QgPD4enpyeePHkic06OT7w5VXUNvmr8+PG4cOGC0Ga0b98eVlZW1fY69PX18cMPP2DBggUQi8VwdXXFxIkTYW9vD319fTx8+BD79u0Ttto0NTXFvHnzKnWuHj16YOrUqTh06BCuX7+OCRMmYNasWejYsSMyMjLg7e0tZC6WUPX9zja29rK2tsaDBw+E/pqNjU2ZfTU7OzscOnRIWIxpZWX1Wluc9u7dG8bGxkhJScHdu3fx/vvvY8aMGWjZsiXS09Px33//4ejRo3KBmara0ZSUFEyaNAmzZ89Gr169kJOTg3/++QfHjx8HUNqvl/TZqfbR09PDjz/+iC+++AI5OTlwcXHB1KlTMXjwYOjp6eHBgwfw8PAQtvxq06aNzO+/V/Xt2xctW7ZEUlKSsF2hk5OT0vJt2rTBggUL8MsvvyA9PR1TpkyBs7Mz3n33XWhpaSEmJgbu7u5Ce2ZlZVWpYHn2IYiIiOoGBv9QrWFsbIwDBw7g888/x7179xAcHKxwZZCJiQk2btyId955p9Ln6t27t/BDPigoCEFBQQBKV2woi7p/HQsXLsStW7cQExOD5ORk/PTTT3JltLW1sXjxYri5uSEzM1NhhiCq23R0dPD3339j3rx5uHnzJmJiYrB06VK5ciKRCF9//TUmTZpUA7X8n44dO6JFixa4ePGiwnr26dMHW7ZsUbivOdUfI0eOlFk1XNGMa71798aff/6JBQsWID09Hf/88w/++ecfuXLNmzfH1q1bYWpqKnP/smXLcPfuXSQmJiIxMRErV66UO1ZXVxdLlizB8uXLhaBKaRoaGhgyZAh8fHyQnJwMV1dXAKUroiZOnFih10NUXfr06YMNGzZgyZIlyMvLw86dO7Fz506ZMs7Ozrh8+TLi4+PlVh4PGTIEixYtwq+//oq8vDy4u7vD3d1d7jzNmzfHtm3bGPhWBrZ99ZOBgQH27NmDjz76CE+fPsXZs2flUuP37NkTzZo1E7ZUq4ur/Bs0aAB3d3d8//338PHxQVpaGnbt2oVdu3YpLG9gYICVK1di1KhRb7imZdPS0sKuXbvw1Vdf4fLly4iOjlbYL23UqBFWrFhRrVksqlv//v3RqFEj5OTkwNvbG97e3hCJRLh586bcdaipqQlHR0fs2bMHAGBubl6tk/hvEw0NDbi5ueHPP//Ezp07kZeXp3RsQmLMmDH4/vvvZbZptLe3x9SpU4XFHXv27BH+XtImTJiAjIwM+Pn5ISkpCbm5ueXKfLJgwQIhiCg5ORkbNmxQWK53795ymZXXrl2LmTNnIj09HdHR0Vi8eLHcccbGxpgzZw5WrVoFAByfeIOq6hp81cCBA4WgcKB6s/5IODg4oLCwEMuXL0dubi4OHz4sZNKR1qFDB2zfvl3InFEZy5YtEwJ94uLi5L4rGjVqBFdXV+HzoOr7nW1s7WVtbY2DBw8K/5febleZfv36QUNDQ9h66HW3B23QoAE2bNiATz/9FHl5ebh+/brCDF1t2rTBpEmT8MsvvwAobUd79eolV05LSwvOzs5wd3fH+vXr5R43MzPDjh070LRp09eqN1WvESNG4Ndff8XSpUuRk5OD/fv3C1nZpNna2mL9+vUqA9DU1NTg5OSEbdu2AShtk8aOHavy/B9//DHU1NTg5uaGvLw87N69W8gaJO11x3LZhyAiIqr9GPxDtYqZmRm8vLzg5eWFc+fO4e7du8jIyICBgQHatGmDUaNGwcnJSeWARnno6upiz549+OWXXxAWFoacnBwYGRkhKSmpWoJ/DAwM4Onpib179+L8+fN48OABxGIxdHV10apVK9jY2GD69Olo0aIFLl++DF9fX4SEhCA1NZU/7uoZIyMjeHh44Pz58zh79izCwsKQlpYGdXV1tGjRAjY2NpgxYwbMzc1ruqoQiUTYvn07Dh8+jCNHjiAuLg46Ojro0KEDpkyZghEjRghpZan+GjBgAHR0dJCdnQ0jI6NKpcfu378//Pz8cPDgQVy8eBGxsbHIyspCo0aN0L59e9jb22PatGkK2/ZmzZrhxIkT2L17N/z8/PDo0SMUFhZCV1cXbdu2hZ2dHaZOnQpjY2McP34cN27cQGBgIHJyctCoUSPheX7++Wc0bdoUfn5+SEtLg76+vtItEohqioODA7p27Yo9e/bg0qVLePbsGRo0aICuXbvCxcUFQ4YMwZAhQwBA5vqWcHV1hZ2dHQ4ePIgbN27g8ePHyM/Ph4GBAczNzWFvb48pU6ZUajuFtw3bvvqrffv2OHv2LNzd3eHr64tHjx6huLgY7dq1g5OTE2bMmCEzYajos1YX6OnpYdOmTQgPD8epU6cQGhqKhIQEvHz5EhoaGjA0NESHDh0wcOBAjB8/XtimuDYyMDDA7t274e/vDy8vL4SFhSE1NRW6urowNTWFvb09Jk6cKJM5py4yMTGBu7s73NzcEBERgfz8fBgbG+PJkycwMzOTK+/g4CBMTNfloKfaSEtLC3PnzsWUKVPg6+uLS5cuIS4uDi9evEB2djb09fXRrFkzWFtbw8HBQelWmqtXr4a1tTWOHj2KyMhIZGVloUGDBmjevDmsrKwwefJk9OnTB0eOHIGfnx8KCgpw4cIFODo6lquOmzZtQkBAALy8vBAREYGUlBSUlJSgadOmsLKywqhRozBy5Ei5rBgWFhY4deoU/vrrLwQFBSEpKQklJSXQ19eHubk5Bg8ejEmTJkFPTw87d+7E48ePce7cOcyfP79OZkOri6rqGpSmqamJYcOG4eDBg1BXVy/XdVYVHB0d0b9/fxw4cABBQUF49OgRsrOzoauri06dOmHUqFGYMGHCawfbampq4rfffsPo0aNx9OhR3L59G5mZmTAyMsK7776LTz/9VGZbpbK+39nG1k79+vUTtngDyhfIo6+vj27duuHWrVvlPqYsNjY2Ql89ODgYz549AwChfzVy5Eg4OjqisLAQW7duRW5uLry9vTFlyhSFz7dkyRK888472Lt3L+7cuQMNDQ20bdsWjo6OmDBhAn+/1RGjR49Gv379sH//fgQGBiIhIQH5+flo3rw5LC0tMWHCBLz77rvl+i4dN26cEPwzYMCAcs1XuLq6YsSIEThw4ACuXLmCx48fIzc3FwYGBujSpQscHR3h4OAAdXX1Sr9G9iGIiIhqP7US6RzDRET01uvXrx/S09PRpUsXIcUwERHVDr169UJ2djYGDx6MP/74o6arQ1QvffrppwgICICOjg5u3rxZ09UhUsjDwwOrVq2Curo6Ll68iGbNmtV0lYiolps8eTLCw8NhZ2enNBtcfXb+/Hlha7HNmzdj+PDhSsuyjaXq5uLigpCQEGhpaeH27ds1XR0iIiIiqieY+YeIiIiIqAYFBwdj3759MDMzg4uLC1q0aKGw3O3bt5GdnQ0A6NSp05usIlGdl5GRga+++gqtW7eGg4OD0i2E8/LyhJXh/JxRbSYJ0rezs+OkNBGV6f79+wgPDweAerf95/r165GSkoLOnTvjww8/VFru6tWrwu2yvuPZxhIRERERUV3E4B8iIiIiohqkr68PPz8/AIBYLMayZcvkyuTm5mLNmjXC/1WtVCYiebq6uggPD8elS5cQFhaGQ4cOKdxi5LfffhO2RuPnjGqr48ePC1kCnJ2da7g2RFTbicVioR9pbGyMoUOH1nCNqpZYLMapU6dw6tQp9OnTR+E2aGFhYTh27BiA0sCf1q1bK30+trFERERERFRXMfiHiIiIiKgGdenSBV26dEFkZCT279+Pp0+fYvTo0WjRogVyc3Nx//59eHh4IC4uDgDw3nvvoXPnzjVca6K6RUNDAxMnTsSePXsQGRmJadOmYfr06WjTpg3U1NSQmJiIkydP4sqVKwCAzp07Y8aMGTVca6L/+eqrr9CwYUOkpKQgKCgIQOn3x6BBg2q2YkRUK4WHh2PHjh0wMDDAzZs3hX7kJ598ojD4tS6bMGECPDw8UFRUhFmzZsHZ2Rm9evWCgYEBUlNTERwcjKNHjyIvLw+amppYvXq13HOwjSUiIiIiovqAwT9ERERERDXs999/h6urKx4+fAhfX1/4+voqLDd9+nQsXrz4DdeOqH6YP38+4uPj4e/vj8jISCxdulRhuT59+uDXX3+FSCR6wzUkUi4xMRFhYWHC/3V0dLBmzRqoqanVYK2IqLbS0dGR609aW1vXy8DWzp07Y/Xq1Vi5ciUyMzPxxx9/KCzXuHFjrF27Ft27d5d7jG0sERERERHVBwz+ISIiIiKqYa1atcLp06dx/PhxnD9/HtHR0cjIyEDDhg1hYmKC3r17Y8KECejRo0dNV5WoztLW1sb27dtx8eJFeHl5ITw8HCkpKdDQ0ICxsTEsLCzg6OgIe3t7aGho1HR1iWTY2NggLi4OJSUl6NGjBxYtWgQLC4uarhYR1VItW7ZEx44d8fDhQxgaGsLBwQHz58+Hurp6TVetWkyaNAn9+vWDh4cHrl69ivj4eOTn58PQ0BCmpqawt7fH+PHjYWRkpPB4trFERERERFQfqJWUlJTUdCWIiIiIiIiIiIiIiIiIiIiIiKji6udyDyIiIiIiIiIiIiIiIiIiIiKitwCDf4iIiIiIiIiIiIiIiIiIiIiI6igG/xARERERERERERERERERERER1VEM/iEiIiIiIiIiIiIiIiIiIiIiqqMY/ENEREREREREREREREREREREVEcx+IeIiIiIiIiIiIiIiIiIiIiIqI5i8A8RERERERERERERERERERERUR2lWdMVICIiIiIiojfLxcUFISEhSh8XiUQwMDCAiYkJ7OzsMH78eLRt2/YN1vD1WVhYAADs7Oywa9cuhWWioqLQqVOnN1ktOf/88w/+/vtvxMbGQiwWw8jICB988AFcXFxqtF6vSkxMhIGBAXR1dWu6KkRERERERERERPQKZv4hIiIiIiIiGQUFBUhJSUFkZCR27NgBJycnHDp0qKarVWXi4+Ph6uqKn376qUbr4eHhgQULFiA0NBSZmZnIy8tDYmJirQqwEYvF2LJlC0aPHo309PSarg4REREREREREREpwMw/REREREREb7E///wTJiYmwv9LSkogFovx4sULhIeH4++//8bLly+xatUqmJqaws7OrgZrWzU++ugjJCQkoG/fvjVaj61btwIozbS0aNEiWFlZIS8vT8haVBvs3LkTmzdvrulqEBERERERERERkQoM/iEiIiIiInqLmZubw9TUVOFjgwd6EfbyAAARk0lEQVQPxogRIzB58mSIxWJs2LChzgT/REdHK32suLj4DdZEsRcvXuD58+cAgBEjRuD999+v4RopVhveKyIiIiIiIiIiIlKN234RERERERGRUp06dcLw4cMBAFFRUSqDaqj8cnNzhdvKgq+IiIiIiIiIiIiIyoPBP0RERERERKRSt27dhNvx8fE1WJP6QzqjjqYmk/ISERERERERERFR5XGEkYiIiIiIiFTS0NAQbjdo0EDucQsLCwCAnZ0ddu3apfA50tLSYGNjAwAYP3481q5dKzx27do1zJw5EwDg5eWF5ORkuLm5ITY2Fjo6OrCwsMD69etRUFAAe3t7AMDWrVthbGyMNWvW4M6dO9DW1oa5uTlWrFiBTp06KayTi4sLQkJChPOGhIQI5ebOnYt58+bJ1Pnly5c4cuQI/Pz8cO/ePWRnZ8PAwACWlpYYOXIknJycKhy4s3nzZmzZskXmvi1btgj3KapHbGws9u/fj+DgYDx79gwlJSVo3rw5+vXrBxcXF7Rv317lOV++fImjR4/i0qVLiImJQUZGBkpKStC4cWN07twZw4YNg5OTE0QikXDM8ePHsWTJEpnnkbz3LVu2hL+/PwDg22+/xYkTJwAAly5dgrGxscI6fPLJJ7h48SIA+S3ZhgwZgqSkJMycOROffPIJfvjhBwQFBaGkpASmpqaYPXs2xo4dK5QvKSmBt7c3Tp8+jYiICLx48QI6OjowNzeHvb09pk2bBh0dHZXvCRERERERERERUX3C4B8iIiIiIiJS6c6dOwBKg4A6depUref6999/8fvvvwuZccRiMZKSkmBiYoKkpCSZOu3atQt5eXkAgPz8fERFRaFVq1ZVUo+rV6/i66+/RkpKisz9KSkpSElJQWBgINzd3bF161a0bt26Ss6pyNatW7F161YUFRXJ3P/gwQM8ePAAnp6emDNnDubOnQs1NTW544OCgrBw4UJkZGTIPZacnIzk5GRcvHgRnp6e2L17N3R1davttZTl5cuXmDFjBh4+fCjcFxMTg2bNmgn/T01Nxdy5c3Hz5k2ZY9PT03Hjxg3cuHED7u7u2LRpE3r27Pmmqk5ERERERERERFSjGPxDRERERERESt29exf//PMPAGD48OEygRjV4ffff4eenh6+/PJLWFpaIiYmBlpaWnKBLdu3b4dIJMLChQvRp08fPHr0CGlpaSozvvz444/IycnBxx9/jJSUFHTp0gU//fQTAMDIyEgoFxoaik8++QR5eXlQU1PD2LFjMWrUKBgZGSExMRHHjh0Tsug4Ozvj+PHjMDExKdfrmzZtGoYOHYrk5GTMnj0bADB16lRMnz5drh7SWYIsLCzg7OwMCwsLFBcXIzIyEvv27cOjR4+EMq9mDIqLi8Nnn32GgoICaGtrY+rUqejfvz8MDQ3x/PlzhIWFYd++fcjJyUFYWBh27NiBhQsXAijNxuPl5YWDBw/i8OHDAIA///wTJiYmMhmCqpKXlxeKi4sxadIkjBs3DllZWbhy5Qr69u0LAMjJycHMmTNx//594e8yYsQImJiYID09HYGBgfD09ERycjJmzZoFT09PdOjQoVrqSkREREREREREVJsw+IeIiIiIiOgtFhsbi6ysLJn7CgsLkZaWhv/++w8eHh7Iy8uDmZkZVq5cWe31KS4uhpubG2xtbQEAvXr1Ulpu6dKlmDJlispy0szMzAAAWlpaAAAdHR1YWlrKlCkqKsJ3332HvLw8qKurw83NDSNHjhQet7KygoODA7Zs2YLNmzcjJSUFy5cvxx9//FGu12dsbAxjY2Po6enJ3PdqPSIjI7Ft2zYAgJOTE37++WeZLcZ69+6NSZMm4ZNPPkFISAi2bt2KUaNGyWwBtm3bNhQUFAAANm7ciKFDh8qcw97eHqNGjcKkSZNQWFiIc+fOCcE/BgYGMDAwkNnGy9zcHKampuV6nZVRXFyMMWPGCAFZQGkQkoSbmxvu378PTU1NbNmyBYMHD5Y5/t1334WTkxNcXFyQk5OD77//Hp6entVWXyIiIiIiIiIiotqCwT9ERERERERvMUn2GVU6d+6MvXv3Ql9fv9rr07p1ayHwRxVtbW2MGzeuys8fEBCAuLg4AMD06dNlAn+kzZ07F9euXUNISAgCAgJw//59mcCb17V7924UFxfDwMAAq1atkgn8kWjUqBF+/vlnDBs2DCUlJdi3bx9WrVolPP7ixQs0bdoUzZs3lwv8kbC0tET79u0RFRWFZ8+eVVn9K0uSAelVmZmZOHLkCABg8uTJcoE/Et26dYOrqys2b96MsLAwhIWFoXv37tVWXyIiIiIiIiIiotpAvaYrQERERERERLXbnTt38N577+G///6r9nOVN1Cjc+fOQgafqhQUFCTcnjp1qsqyzs7OCo97XSUlJcLz9erVCw0bNlRatlWrVjA3NwcAXL16VeaxXbt24cqVKzh69KjK80m2GhOLxa9T7demqamJbt26KXwsJCQEubm5AFBmcNi7774r3A4ODq66ChIREREREREREdVSzPxDRERERET0FvPz85PbykksFiM7OxtxcXHw9fXF/v37ER0djY8++gibN2/GwIEDq60+//d//1el5Srq3r17AEqz6nTs2FFl2R49egi3Y2JiqqwOiYmJyMjIAAD4+/vDwsKi3Mcpoq5euu4nPz8fiYmJSExMxIMHDxAdHY2bN2/i4cOHAEqDjmqSoaEhGjRooPCxO3fuCLfnzp1b7udMSEh47XoRERERERERERHVdgz+ISIiIiIiIhlaWlrQ0tJC79690bt3b/Tp0wdz5sxBfn4+lixZAn9/f2hra1fLuXV1dau0XEWlp6cDKA1EUVNTU1m2adOmcsdVhRcvXlTquMLCQrx8+VLmvUlPT8fevXvh4+ODBw8eoLi4WO44dXV1hfe/aTo6Okofq+x7kpmZWdnqEBERERERERER1RkM/iEiIiIiIiKV7O3t0adPH1y/fh2pqakIDAzE8OHDK/Qc5c0qU1bATXWrSPYb6YAZSXadqlBUVCTcnjhxIlxcXMp9rPQWYREREZg9ezZSU1OF+7S1tdGuXTuYm5uja9eusLa2hpubGy5evFgldVemPMFFqv720u/J1q1b0bJly3Kdt7qCxIiIiIiIiIiIiGoTBv8QERERERFRmbp164br168DgLBNVEVkZWVVcY2qR+PGjQGUZpopKSlRGZDy/PlzueOqsg4AoKGhAUtLywo/R35+Pr744gsh8MfFxQUTJ05Ex44doaGhIVM2Jyen0nWVfn9UBU697t9f+j1p0qRJpd4TIiIiIiIiIiKi+qrqliYSERERERFRvSWdeaVRo0Yyj2lqlq4ryc3NVXr8kydPqqdiVczCwgJAaUDMvXv3VJYNCwsTbrdr167K6tCqVSshg8+tW7fKLP/nn3/i0KFDuHLlinBfQEAAkpKSAAATJkzA0qVLYWlpKRf4AwCPHz+udF2lny8vL09pudf9+3fo0EG4Lf2+K/LgwQNs374dp06dqlSgGhERERERERERUV3D4B8iIiIiIiIqU0hIiHC7Y8eOMo/p6ekBUB1E8u+//1ZPxSpBVTYfOzs74fbhw4dVPs+hQ4eE27a2tq9fsf9PJBKhX79+AICYmBgh45IiwcHB2LhxI1asWIE//vhDuP/Ro0fC7a5duyo9/ubNm0hMTBT+X1hYKPN4WduwSf72AIRgo1dFR0fj6dOnKp+nLDY2NkKQ2ZEjR1BQUKC07Pbt2/Hbb79h0aJF5QqeIiIiIiIiIiIiqusY/ENEREREREQq7d+/H1FRUQAAU1NT9OnTR+ZxSbacJ0+ewNfXV+74W7du4cCBA9Vf0XLS0tICAGRnZ8s9NmTIEJiZmQEAPDw8cOHCBYXPsXXrViEgysbGpsq3ofrggw+E20uWLFGYOSc1NRXLly8X/j9z5kzhtqGhoXA7MDBQ4TkePnyIb775RuY+sVgs83/JewUo3h5M8rcHSq+TV2VnZ2PVqlUKz18RxsbGGDNmDAAgNjYWP/zwg8Jtxry9vXH69GnhmJEjR772uYmIiIiIiIiIiGo7zZquABEREREREdWc2NhYZGVlyd0vFouRlJSEc+fOwcfHB0BpFpjly5dDXV12Hcm4ceNw9epVAMCiRYvg6uqKfv36IT8/H4GBgTh48CA0NTWhr6+P58+fV/+LKoOxsTHi4uIQHR2NI0eOoFOnTmjcuDFat24NDQ0NrF+/Hu+99x4KCgrwxRdfwNHRESNHjkTTpk2RlJSEo0eP4tKlSwBKg2zWrVtX5XW0sbHB9OnTcfDgQTx69AhOTk6YOXMm+vbtCwCIiIjAnj17kJycDAAYNmwYhg4dKhw/aNAgNGzYELm5ubh48SLmzJmDCRMmwNjYGM+fP8elS5fg5eUlF9CTlZUls62biYmJcHvbtm2YNWsWiouL0aNHDwClwVL6+vrIzMyEr68v5syZgylTpkBfXx93797F33//jYcPH6J169Yy2YgqY/Hixbh27RqePHmCw4cPIyoqCs7Ozmjbti1SU1Ph7++PEydOoLi4GGpqali5ciW0tbVf65xERERERERERER1AYN/iIiIiIiI3mKzZ88uV7lGjRphxYoVGDhwoNxjTk5OuHTpEs6cOYOcnBxs2rRJ5nE9PT389ttv+PXXX2tF8M/w4cNx7do1FBYWYunSpQBKA5gkQTw9evTAX3/9hQULFiAtLQ1eXl7w8vKSe54uXbrAzc0NzZo1q5Z6Llu2DA0aNMDevXuRkZGBzZs3K309GzZskLnP2NgYK1euxHfffYeioiL4+fnBz89P7tju3bvD2toaO3bsAADcv39f5vX0798fjRo1Qk5ODry9veHt7Q2RSISbN29CS0sL+vr6WLNmDebPn4+CggKF53F2doa5uTl++OGH13o/mjRpgv379+Pzzz9HVFQUwsLCEBYWJldOW1sbK1eulAmGIiIiIiIiIiIiqs8Y/ENEREREREQy1NTU0LBhQzRu3Bjm5uawtrbG+PHjYWRkpLC8uro6Nm7ciOHDh+PIkSO4ffs2cnJy0Lx5cwwcOBCzZs1CixYt8Ouvv77hV6LYjBkzIBaLceTIESQlJUFLS0suA461tTUuXLgADw8PBAQEIC4uDtnZ2TAxMUHHjh3h5OSEoUOHQiQSVVs9NTQ0sGTJEowfPx4HDx5ESEgInj59ioKCAjRp0gQ9evTAxIkTFQZkAaUBTe3atYO7uzuuX7+OtLQ0qKuro2nTprCwsMDYsWMxYsQIPH78WAj+8fb2hq2trfAcJiYmcHd3h5ubGyIiIpCfnw9jY2M8efJE2B5t6NChOHv2LHbt2oXLly8jOTkZenp66NatG5ydnTFw4ECFW4JVhqmpKY4fP44zZ87g3LlziIiIwIsXL6CpqYlWrVrB1tYWM2bMQKtWrarkfERERERERERERHWBWklJSUlNV4KIiIiIiIiIiIiIiIiIiIiIiCpOvaYrQERERERERERERERERERERERElcPgHyIiIiIiIiIiIiIiIiIiIiKiOorBP0REREREREREREREREREREREdRSDf4iIiIiIiIiIiIiIiIiIiIiI6igG/xARERERERERERERERERERER1VEM/iEiIiIiIiIiIiIiIiIiIiIiqqMY/ENEREREREREREREREREREREVEcx+IeIiIiIiIiIiIiIiIiIiIiIqI5i8A8RERERERERERERERERERERUR3F4B8iIiIiIiIiIiIiIiIiIiIiojqKwT9ERERERERERERERERERERERHUUg3+IiIiIiIiIiIiIiIiIiIiIiOooBv8QEREREREREREREREREREREdVRDP4hIiIiIiIiIiIiIiIiIiIiIqqjGPxDRERERERERERERERERERERFRHMfiHiIiIiIiIiIiIiIiIiIiIiKiOYvAPEREREREREREREREREREREVEdxeAfIiIiIiIiIiIiIiIiIiIiIqI6isE/RERERERERERERERERERERER11P8DYI+dC2toDAkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 430,
       "width": 1151
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 216x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 408,
       "width": 414
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 216x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 408,
       "width": 426
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style('whitegrid')\n",
    "restaurants_compare = ['taco stand', 'california burritos', \"rigoberto's taco shop\", 'taco villa', 'lucha libre north park']\n",
    "\n",
    "m_lm = ['Tortilla','Temp','Meat','Fillings','Meat:filling','Uniformity','Salsa','Synergy','Wrap','overall']\n",
    "df_plt = df_use[df_use['Location'].isin(restaurants_compare)]\n",
    "df_plt = df_plt[np.hstack((m_lm,'Location'))]\n",
    "df_plt.set_index('Location', inplace=True)\n",
    "df_plt = df_plt.stack().reset_index().rename(columns={'level_1': 'feature', 0: 'value'})\n",
    "\n",
    "plt.figure(figsize=(16,7))\n",
    "sns.barplot(x='feature', y='value', hue='Location', data=df_plt, hue_order=restaurants_compare)\n",
    "plt.gca().legend(title='Location', fontsize=15, loc='center left', bbox_to_anchor=(1, 0.5))\n",
    "plt.setp(plt.gca().get_legend().get_title(), fontsize='15')\n",
    "plt.xticks(size=15)\n",
    "plt.yticks(np.arange(2.5,5,.5), size=15)\n",
    "plt.xlabel('Burrito feature', size=15)\n",
    "plt.ylabel('Average value (out of 5)', size=15)\n",
    "plt.ylim((2.5,4.6))\n",
    "\n",
    "\n",
    "m_lm = ['Cost']\n",
    "df_plt = df_use[df_use['Location'].isin(restaurants_compare)]\n",
    "df_plt['dummy'] = 1\n",
    "\n",
    "plt.figure(figsize=(3,7))\n",
    "sns.barplot(x='dummy', y='Cost', hue='Location', data=df_plt, hue_order=restaurants_compare)\n",
    "plt.gca().legend(title='Location', fontsize=15, loc='center left', bbox_to_anchor=(1, 0.5))\n",
    "plt.setp(plt.gca().get_legend().get_title(), fontsize='15')\n",
    "plt.xticks([])\n",
    "plt.yticks(np.arange(0,9), size=15)\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Average cost ($)', size=15)\n",
    "plt.ylim((0,8))\n",
    "\n",
    "m_lm = ['Volume']\n",
    "df_plt = df_use[df_use['Location'].isin(restaurants_compare)]\n",
    "df_plt['dummy'] = 1\n",
    "\n",
    "plt.figure(figsize=(3,7))\n",
    "sns.barplot(x='dummy', y='Volume', hue='Location', data=df_plt, hue_order=restaurants_compare)\n",
    "plt.gca().legend(title='Location', fontsize=15, loc='center left', bbox_to_anchor=(1, 0.5))\n",
    "plt.setp(plt.gca().get_legend().get_title(), fontsize='15')\n",
    "plt.xticks([])\n",
    "plt.yticks(np.arange(0,1.1,.2), size=15)\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Average size (L)', size=15)\n",
    "plt.ylim((0, 1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Most distinctive feature\n",
    "Difference between across-restaurant variance and within-restaurant variance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>across shop</th>\n",
       "      <th>within : across</th>\n",
       "      <th>within shop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Volume</th>\n",
       "      <td>0.011122</td>\n",
       "      <td>0.707134</td>\n",
       "      <td>0.007865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cost</th>\n",
       "      <td>0.649593</td>\n",
       "      <td>0.352785</td>\n",
       "      <td>0.229167</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        across shop  within : across  within shop\n",
       "Volume     0.011122         0.707134     0.007865\n",
       "Cost       0.649593         0.352785     0.229167"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 327,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "feats = ['Tortilla','Temp','Meat','Fillings','Meat:filling','Uniformity','Salsa','Synergy','Wrap','overall', 'Hunger']\n",
    "\n",
    "# Compute variance within restaurants\n",
    "var_within_rest = df_use.groupby('Location')[feats].var().mean()\n",
    "var_across_rest = df_use.groupby('Location')[feats].mean().var()\n",
    "var_within_by_across = var_within_rest / var_across_rest\n",
    "\n",
    "df_var = pd.DataFrame({'within shop': var_within_rest,\n",
    "                       'across shop': var_across_rest, \n",
    "                       'within : across': var_within_by_across})\n",
    "df_var = df_var.stack().reset_index().rename(columns={'level_0':'Feature', 'level_1': 'type', 0: 'Variance'})\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "sns.barplot(x='type', y='Variance', hue='Feature', data=df_var, palette='viridis',\n",
    "            hue_order=var_within_by_across.sort_values().index,\n",
    "            order = ['within shop', 'across shop', 'within : across'])\n",
    "plt.gca().legend(title='Location', fontsize=15, loc='center left', bbox_to_anchor=(1, 0.5))\n",
    "plt.setp(plt.gca().get_legend().get_title(), fontsize='15')\n",
    "plt.xlabel('Variance type', size=15)\n",
    "plt.ylabel('Normalized Variance', size=15)\n",
    "plt.xticks(size=15)\n",
    "plt.yticks(np.arange(0, 2.5, .5), size=15)\n",
    "plt.ylim((0,2))\n",
    "\n",
    "feats = ['Volume', 'Cost']\n",
    "\n",
    "# Compute variance within restaurants\n",
    "var_within_rest = df_use.groupby('Location')[feats].var().mean()\n",
    "var_across_rest = df_use.groupby('Location')[feats].mean().var()\n",
    "var_within_by_across = var_within_rest / var_across_rest\n",
    "df_var = pd.DataFrame({'within shop': var_within_rest,\n",
    "                       'across shop': var_across_rest, \n",
    "                       'within : across': var_within_by_across})\n",
    "df_var.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Distribution of features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 5)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 367,
       "width": 421
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols_plot = ['Tortilla', 'Temp', 'Meat', 'Fillings', 'Meat:filling', 'Uniformity', 'Salsa', 'Synergy', 'Wrap']\n",
    "df_plt = df[cols_plot]\n",
    "df_plt = df_plt.stack().reset_index().drop('level_0', axis=1).rename(columns={'level_1': 'feature', 0: 'value'})\n",
    "\n",
    "plt.figure(figsize=(6,6))\n",
    "sns.violinplot(y='feature', x='value', data=df_plt)\n",
    "plt.xlim((1,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}