Taco shop differences.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%config InlineBackend.figure_format = 'retina'\n",
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "import scipy as sp\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from scipy import stats\n",
    "import util\n",
    "\n",
    "sns.set_style('whitegrid')\n",
    "plt.style.use('Cole_2018.mplstyle')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>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>...</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>368</th>\n",
       "      <td>tony's fresh mexican food</td>\n",
       "      <td>la paz</td>\n",
       "      <td>5/22/2018</td>\n",
       "      <td>9.99</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.77</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>hannah</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>tony's fresh mexican food</td>\n",
       "      <td>la paz</td>\n",
       "      <td>5/22/2018</td>\n",
       "      <td>9.99</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.77</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mike</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>tony's fresh mexican food</td>\n",
       "      <td>adobada</td>\n",
       "      <td>5/22/2018</td>\n",
       "      <td>7.39</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.84</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>nick g.</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>tony's fresh mexican food</td>\n",
       "      <td>adobada</td>\n",
       "      <td>5/22/2018</td>\n",
       "      <td>7.39</td>\n",
       "      <td>4.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>22.5</td>\n",
       "      <td>0.85</td>\n",
       "      <td>...</td>\n",
       "      <td>3.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ricardo</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>tony's fresh mexican food</td>\n",
       "      <td>veggie</td>\n",
       "      <td>5/22/2018</td>\n",
       "      <td>7.39</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.70</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>erin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Location  Burrito       Date  Cost  Hunger  Mass (g)  \\\n",
       "368  tony's fresh mexican food   la paz  5/22/2018  9.99     5.0       NaN   \n",
       "369  tony's fresh mexican food   la paz  5/22/2018  9.99     4.0       NaN   \n",
       "370  tony's fresh mexican food  adobada  5/22/2018  7.39     4.0       NaN   \n",
       "371  tony's fresh mexican food  adobada  5/22/2018  7.39     4.5       NaN   \n",
       "372  tony's fresh mexican food   veggie  5/22/2018  7.39     4.0       NaN   \n",
       "\n",
       "     Density (g/mL)  Length  Circum  Volume  ...    Fillings  Meat:filling  \\\n",
       "368             NaN    20.0    22.0    0.77  ...         3.0           5.0   \n",
       "369             NaN    20.0    22.0    0.77  ...         3.0           4.0   \n",
       "370             NaN    24.0    21.0    0.84  ...         3.0           4.0   \n",
       "371             NaN    21.0    22.5    0.85  ...         3.5           2.0   \n",
       "372             NaN    22.0    20.0    0.70  ...         3.0           NaN   \n",
       "\n",
       "     Uniformity  Salsa  Synergy  Wrap  overall  Rec  Reviewer  Notes  \n",
       "368         3.5    NaN      3.0   4.5      4.0  NaN    hannah    NaN  \n",
       "369         4.0    2.0      4.0   3.0      4.0  NaN      mike    NaN  \n",
       "370         5.0    4.0      4.0   5.0      4.0  NaN   nick g.    NaN  \n",
       "371         1.0    3.5      3.5   4.0      3.5  NaN   ricardo    NaN  \n",
       "372         4.0    NaN      3.0   4.0      3.5  NaN      erin    NaN  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df, df_shops, df_ingredients = util.load_burritos()\n",
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Compare burrito features across restaurants"
   ]
  },
  {
   "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>Location</th>\n",
       "      <th>dim</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Taco Stand</td>\n",
       "      <td>Tortilla rating</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Taco Stand</td>\n",
       "      <td>Temperature rating</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Taco Stand</td>\n",
       "      <td>Meat flavor rating</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Taco Stand</td>\n",
       "      <td>Overall rating</td>\n",
       "      <td>4.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Taco Stand</td>\n",
       "      <td>Tortilla rating</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Location                 dim  rating\n",
       "0  Taco Stand     Tortilla rating     3.0\n",
       "1  Taco Stand  Temperature rating     2.5\n",
       "2  Taco Stand  Meat flavor rating     4.0\n",
       "3  Taco Stand      Overall rating     4.2\n",
       "4  Taco Stand     Tortilla rating     4.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_plt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Volume, N = 51, p = 0.05372\n",
      "Tortilla, N = 51, p = 0.22977\n",
      "Temp, N = 51, p = 0.19568\n",
      "Meat, N = 51, p = 0.03380\n",
      "overall, N = 51, p = 0.00004\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 280,
       "width": 711
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rest_include = ['taco stand', 'lucha libre north park']\n",
    "rest_names = {'taco stand': 'Taco Stand', 'lucha libre north park': 'Lucha Libre'}\n",
    "cols_keep = ['Location', 'Volume', 'Tortilla', 'Temp', 'Meat', 'overall']\n",
    "df_plt = df[df['Location'].isin(rest_include)][cols_keep].copy()\n",
    "df_plt.replace(rest_names, inplace=True)\n",
    "df_plt = df_plt.set_index('Location').stack().reset_index().rename({'level_1':'dim', 0:'rating'}, axis=1)\n",
    "cols_ylabels = {'Volume': 'Volume (liters)',\n",
    "                'Tortilla': 'Tortilla',\n",
    "                'Temp': 'Temperature',\n",
    "                'Meat': 'Meat flavor',\n",
    "                'overall': 'Overall'}\n",
    "df_plt.replace(cols_ylabels, inplace=True)\n",
    "\n",
    "plt.figure(figsize=(10,4))\n",
    "sns.swarmplot(x='dim', hue='Location', y='rating', data=df_plt, dodge=True, palette = 'viridis',\n",
    "              order = ['Volume (liters)', 'Tortilla', 'Temperature', 'Meat flavor', 'Overall'])\n",
    "plt.legend(fontsize=15)\n",
    "plt.xlabel('')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('/gh/fig/burrito/tacostand_lucha.png')\n",
    "\n",
    "# Print stats\n",
    "for col in cols_ylabels.keys():\n",
    "    xs_ts = df[df['Location']=='taco stand'][col]\n",
    "    xs_lucha = df[df['Location']=='lucha libre north park'][col]\n",
    "    U, p = stats.mannwhitneyu(xs_ts, xs_lucha)\n",
    "    print('{:s}, N = {:d}, p = {:.5f}'.format(col,len(xs_ts) + len(xs_lucha), p))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.swarmplot?"
   ]
  }
 ],
 "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
}