02. Initial EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Initial EDA\n",
    "\n",
    "Mostly this notebook is me looking at what the data looks like. I'm not really looking for trends in any of the data. I am trying to get a sense of how things are structured and what I am going to need to do get it ready for the modeling. \n",
    "\n",
    "This is also the result of a few attempts at EDA. I'v used some of the things I learned in other (probably overwritten or deleted) notebooks and rolled them into here. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/boada/.local/lib/python3.7/site-packages/pandas/compat/__init__.py:85: UserWarning: Could not import the lzma module. Your installed Python is incomplete. Attempting to use lzma compression will result in a RuntimeError.\n",
      "  warnings.warn(msg)\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "import numpy as np\n",
    "from utils.utilities import select_by_date\n",
    "from utils.utilities import mk_heatmap, value_heatmap, update_grade"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training Data: N = 398253\n"
     ]
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>camis</th>\n",
       "      <td>50072444</td>\n",
       "      <td>41660537</td>\n",
       "      <td>50037997</td>\n",
       "      <td>40365904</td>\n",
       "      <td>41346103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dba</th>\n",
       "      <td>THE SPOT CAFE</td>\n",
       "      <td>AMERICAN BAR</td>\n",
       "      <td>JALAPENOS MEXICAN</td>\n",
       "      <td>MEE SUM CAFE</td>\n",
       "      <td>LA MAISON DU MACARON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>boro</th>\n",
       "      <td>Queens</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zipcode</th>\n",
       "      <td>11385</td>\n",
       "      <td>10075</td>\n",
       "      <td>11220</td>\n",
       "      <td>10013</td>\n",
       "      <td>10011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cuisine_description</th>\n",
       "      <td>Café/Coffee/Tea</td>\n",
       "      <td>American</td>\n",
       "      <td>Mexican</td>\n",
       "      <td>Café/Coffee/Tea</td>\n",
       "      <td>French</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inspection_date</th>\n",
       "      <td>2019-07-09 00:00:00</td>\n",
       "      <td>2017-09-20 00:00:00</td>\n",
       "      <td>2017-09-21 00:00:00</td>\n",
       "      <td>2017-02-14 00:00:00</td>\n",
       "      <td>2018-08-31 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>action</th>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>violation_code</th>\n",
       "      <td>08A</td>\n",
       "      <td>10H</td>\n",
       "      <td>06A</td>\n",
       "      <td>10F</td>\n",
       "      <td>10B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>violation_description</th>\n",
       "      <td>Facility not vermin proof. Harborage or condit...</td>\n",
       "      <td>Proper sanitization not provided for utensil w...</td>\n",
       "      <td>Personal cleanliness inadequate. Outer garment...</td>\n",
       "      <td>Non-food contact surface improperly constructe...</td>\n",
       "      <td>Plumbing not properly installed or maintained;...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>critical_flag</th>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>score</th>\n",
       "      <td>28</td>\n",
       "      <td>12</td>\n",
       "      <td>24</td>\n",
       "      <td>9</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inspection_type</th>\n",
       "      <td>Cycle Inspection / Initial Inspection</td>\n",
       "      <td>Cycle Inspection / Initial Inspection</td>\n",
       "      <td>Cycle Inspection / Initial Inspection</td>\n",
       "      <td>Cycle Inspection / Initial Inspection</td>\n",
       "      <td>Cycle Inspection / Re-inspection</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>latitude</th>\n",
       "      <td>40.7072</td>\n",
       "      <td>40.7708</td>\n",
       "      <td>40.641</td>\n",
       "      <td>40.7149</td>\n",
       "      <td>40.7433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>longitude</th>\n",
       "      <td>-73.8969</td>\n",
       "      <td>-73.9538</td>\n",
       "      <td>-74.0145</td>\n",
       "      <td>-73.9982</td>\n",
       "      <td>-73.9939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grade</th>\n",
       "      <td>NaN</td>\n",
       "      <td>A</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                                                                       0  \\\n",
       "camis                                                           50072444   \n",
       "dba                                                        THE SPOT CAFE   \n",
       "boro                                                              Queens   \n",
       "zipcode                                                            11385   \n",
       "cuisine_description                                      Café/Coffee/Tea   \n",
       "inspection_date                                      2019-07-09 00:00:00   \n",
       "action                   Violations were cited in the following area(s).   \n",
       "violation_code                                                       08A   \n",
       "violation_description  Facility not vermin proof. Harborage or condit...   \n",
       "critical_flag                                                          N   \n",
       "score                                                                 28   \n",
       "inspection_type                    Cycle Inspection / Initial Inspection   \n",
       "latitude                                                         40.7072   \n",
       "longitude                                                       -73.8969   \n",
       "grade                                                                NaN   \n",
       "\n",
       "                                                                       1  \\\n",
       "camis                                                           41660537   \n",
       "dba                                                         AMERICAN BAR   \n",
       "boro                                                           Manhattan   \n",
       "zipcode                                                            10075   \n",
       "cuisine_description                                             American   \n",
       "inspection_date                                      2017-09-20 00:00:00   \n",
       "action                   Violations were cited in the following area(s).   \n",
       "violation_code                                                       10H   \n",
       "violation_description  Proper sanitization not provided for utensil w...   \n",
       "critical_flag                                                          N   \n",
       "score                                                                 12   \n",
       "inspection_type                    Cycle Inspection / Initial Inspection   \n",
       "latitude                                                         40.7708   \n",
       "longitude                                                       -73.9538   \n",
       "grade                                                                  A   \n",
       "\n",
       "                                                                       2  \\\n",
       "camis                                                           50037997   \n",
       "dba                                                    JALAPENOS MEXICAN   \n",
       "boro                                                            Brooklyn   \n",
       "zipcode                                                            11220   \n",
       "cuisine_description                                              Mexican   \n",
       "inspection_date                                      2017-09-21 00:00:00   \n",
       "action                   Violations were cited in the following area(s).   \n",
       "violation_code                                                       06A   \n",
       "violation_description  Personal cleanliness inadequate. Outer garment...   \n",
       "critical_flag                                                          Y   \n",
       "score                                                                 24   \n",
       "inspection_type                    Cycle Inspection / Initial Inspection   \n",
       "latitude                                                          40.641   \n",
       "longitude                                                       -74.0145   \n",
       "grade                                                                NaN   \n",
       "\n",
       "                                                                       3  \\\n",
       "camis                                                           40365904   \n",
       "dba                                                         MEE SUM CAFE   \n",
       "boro                                                           Manhattan   \n",
       "zipcode                                                            10013   \n",
       "cuisine_description                                      Café/Coffee/Tea   \n",
       "inspection_date                                      2017-02-14 00:00:00   \n",
       "action                   Violations were cited in the following area(s).   \n",
       "violation_code                                                       10F   \n",
       "violation_description  Non-food contact surface improperly constructe...   \n",
       "critical_flag                                                          N   \n",
       "score                                                                  9   \n",
       "inspection_type                    Cycle Inspection / Initial Inspection   \n",
       "latitude                                                         40.7149   \n",
       "longitude                                                       -73.9982   \n",
       "grade                                                                  A   \n",
       "\n",
       "                                                                       4  \n",
       "camis                                                           41346103  \n",
       "dba                                                 LA MAISON DU MACARON  \n",
       "boro                                                           Manhattan  \n",
       "zipcode                                                            10011  \n",
       "cuisine_description                                               French  \n",
       "inspection_date                                      2018-08-31 00:00:00  \n",
       "action                   Violations were cited in the following area(s).  \n",
       "violation_code                                                       10B  \n",
       "violation_description  Plumbing not properly installed or maintained;...  \n",
       "critical_flag                                                          N  \n",
       "score                                                                 13  \n",
       "inspection_type                         Cycle Inspection / Re-inspection  \n",
       "latitude                                                         40.7433  \n",
       "longitude                                                       -73.9939  \n",
       "grade                                                                  A  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# start_date = '2017-01-01'\n",
    "# end_date = '2017-12-31'\n",
    "\n",
    "df = pd.read_csv(\"./data/inspections.csv\")\n",
    "df.inspection_date = pd.to_datetime(df.inspection_date)\n",
    "# df = select_by_date(df, start_date, end_date)\n",
    "print(\"Training Data: N = {}\".format(len(df)))\n",
    "df.head().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['camis', 'dba', 'boro', 'zipcode', 'cuisine_description',\n",
       "       'inspection_date', 'action', 'violation_code', 'violation_description',\n",
       "       'critical_flag', 'score', 'inspection_type', 'latitude', 'longitude',\n",
       "       'grade'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### But there are multiple citations for each restaurant in the df\n",
    "\n",
    "For some reason I missed the fact that each row in the inspections data contains a single violation. We are gonna need to merge all the different rows into single restaurant inspections."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_single_visits = df.drop_duplicates(subset=['camis', 'inspection_date'])\n",
    "\n",
    "cols_to_merge = ['violation_code', 'violation_description', 'critical_flag', 'inspection_type']\n",
    "\n",
    "for col in cols_to_merge:\n",
    "    df_tmp = df[col].groupby([df.camis, df.inspection_date]).apply(list).reset_index()\n",
    "    df_single_visits = pd.merge(df_single_visits, df_tmp,  how='left', left_on=['camis','inspection_date'], right_on = ['camis','inspection_date'])\n",
    "    df_single_visits.drop(columns=f'{col}_x', axis=1, inplace=True)\n",
    "    df_single_visits.rename(columns={f'{col}_y': f\"{col}\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>camis</th>\n",
       "      <th>dba</th>\n",
       "      <th>boro</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>cuisine_description</th>\n",
       "      <th>inspection_date</th>\n",
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       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>grade</th>\n",
       "      <th>violation_code</th>\n",
       "      <th>violation_description</th>\n",
       "      <th>critical_flag</th>\n",
       "      <th>inspection_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>50072444</td>\n",
       "      <td>THE SPOT CAFE</td>\n",
       "      <td>Queens</td>\n",
       "      <td>11385.0</td>\n",
       "      <td>Café/Coffee/Tea</td>\n",
       "      <td>2019-07-09</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>28.0</td>\n",
       "      <td>40.707167</td>\n",
       "      <td>-73.896938</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[08A, 06A, 04L, 06B, 04H]</td>\n",
       "      <td>[Facility not vermin proof. Harborage or condi...</td>\n",
       "      <td>[N, Y, Y, Y, Y]</td>\n",
       "      <td>[Cycle Inspection / Initial Inspection, Cycle ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>41660537</td>\n",
       "      <td>AMERICAN BAR</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10075.0</td>\n",
       "      <td>American</td>\n",
       "      <td>2017-09-20</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>12.0</td>\n",
       "      <td>40.770759</td>\n",
       "      <td>-73.953849</td>\n",
       "      <td>A</td>\n",
       "      <td>[10H, 04A]</td>\n",
       "      <td>[Proper sanitization not provided for utensil ...</td>\n",
       "      <td>[N, Y]</td>\n",
       "      <td>[Cycle Inspection / Initial Inspection, Cycle ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50037997</td>\n",
       "      <td>JALAPENOS MEXICAN</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>11220.0</td>\n",
       "      <td>Mexican</td>\n",
       "      <td>2017-09-21</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>24.0</td>\n",
       "      <td>40.641044</td>\n",
       "      <td>-74.014550</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[06A, 04N, 06D, 08A, 10F]</td>\n",
       "      <td>[Personal cleanliness inadequate. Outer garmen...</td>\n",
       "      <td>[Y, Y, Y, N, N]</td>\n",
       "      <td>[Cycle Inspection / Initial Inspection, Cycle ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40365904</td>\n",
       "      <td>MEE SUM CAFE</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10013.0</td>\n",
       "      <td>Café/Coffee/Tea</td>\n",
       "      <td>2017-02-14</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>9.0</td>\n",
       "      <td>40.714861</td>\n",
       "      <td>-73.998200</td>\n",
       "      <td>A</td>\n",
       "      <td>[10F, 09A, 06D]</td>\n",
       "      <td>[Non-food contact surface improperly construct...</td>\n",
       "      <td>[N, N, Y]</td>\n",
       "      <td>[Cycle Inspection / Initial Inspection, Cycle ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41346103</td>\n",
       "      <td>LA MAISON DU MACARON</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10011.0</td>\n",
       "      <td>French</td>\n",
       "      <td>2018-08-31</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>13.0</td>\n",
       "      <td>40.743346</td>\n",
       "      <td>-73.993887</td>\n",
       "      <td>A</td>\n",
       "      <td>[10B, 10H, 02B]</td>\n",
       "      <td>[Plumbing not properly installed or maintained...</td>\n",
       "      <td>[N, N, Y]</td>\n",
       "      <td>[Cycle Inspection / Re-inspection, Cycle Inspe...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "      camis                   dba       boro  zipcode cuisine_description  \\\n",
       "0  50072444         THE SPOT CAFE     Queens  11385.0     Café/Coffee/Tea   \n",
       "1  41660537          AMERICAN BAR  Manhattan  10075.0            American   \n",
       "2  50037997     JALAPENOS MEXICAN   Brooklyn  11220.0             Mexican   \n",
       "3  40365904          MEE SUM CAFE  Manhattan  10013.0     Café/Coffee/Tea   \n",
       "4  41346103  LA MAISON DU MACARON  Manhattan  10011.0              French   \n",
       "\n",
       "  inspection_date                                           action  score  \\\n",
       "0      2019-07-09  Violations were cited in the following area(s).   28.0   \n",
       "1      2017-09-20  Violations were cited in the following area(s).   12.0   \n",
       "2      2017-09-21  Violations were cited in the following area(s).   24.0   \n",
       "3      2017-02-14  Violations were cited in the following area(s).    9.0   \n",
       "4      2018-08-31  Violations were cited in the following area(s).   13.0   \n",
       "\n",
       "    latitude  longitude grade             violation_code  \\\n",
       "0  40.707167 -73.896938   NaN  [08A, 06A, 04L, 06B, 04H]   \n",
       "1  40.770759 -73.953849     A                 [10H, 04A]   \n",
       "2  40.641044 -74.014550   NaN  [06A, 04N, 06D, 08A, 10F]   \n",
       "3  40.714861 -73.998200     A            [10F, 09A, 06D]   \n",
       "4  40.743346 -73.993887     A            [10B, 10H, 02B]   \n",
       "\n",
       "                               violation_description    critical_flag  \\\n",
       "0  [Facility not vermin proof. Harborage or condi...  [N, Y, Y, Y, Y]   \n",
       "1  [Proper sanitization not provided for utensil ...           [N, Y]   \n",
       "2  [Personal cleanliness inadequate. Outer garmen...  [Y, Y, Y, N, N]   \n",
       "3  [Non-food contact surface improperly construct...        [N, N, Y]   \n",
       "4  [Plumbing not properly installed or maintained...        [N, N, Y]   \n",
       "\n",
       "                                     inspection_type  \n",
       "0  [Cycle Inspection / Initial Inspection, Cycle ...  \n",
       "1  [Cycle Inspection / Initial Inspection, Cycle ...  \n",
       "2  [Cycle Inspection / Initial Inspection, Cycle ...  \n",
       "3  [Cycle Inspection / Initial Inspection, Cycle ...  \n",
       "4  [Cycle Inspection / Re-inspection, Cycle Inspe...  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_single_visits.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(134546, 15)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_single_visits.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>camis</th>\n",
       "      <th>dba</th>\n",
       "      <th>boro</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>cuisine_description</th>\n",
       "      <th>inspection_date</th>\n",
       "      <th>action</th>\n",
       "      <th>score</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>grade</th>\n",
       "      <th>violation_code</th>\n",
       "      <th>violation_description</th>\n",
       "      <th>critical_flag</th>\n",
       "      <th>inspection_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39430</th>\n",
       "      <td>40364956</td>\n",
       "      <td>THE NEW STARLING ATHLETIC CLUB OF THE BRONX</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>10462.0</td>\n",
       "      <td>American</td>\n",
       "      <td>2019-06-11</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>10.0</td>\n",
       "      <td>40.83061</td>\n",
       "      <td>-73.849647</td>\n",
       "      <td>A</td>\n",
       "      <td>[05D]</td>\n",
       "      <td>[Hand washing facility not provided in or near...</td>\n",
       "      <td>[Y]</td>\n",
       "      <td>[Cycle Inspection / Initial Inspection]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52724</th>\n",
       "      <td>40364956</td>\n",
       "      <td>THE NEW STARLING ATHLETIC CLUB OF THE BRONX</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>10462.0</td>\n",
       "      <td>American</td>\n",
       "      <td>2017-05-16</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>10.0</td>\n",
       "      <td>40.83061</td>\n",
       "      <td>-73.849647</td>\n",
       "      <td>A</td>\n",
       "      <td>[08A, 04L]</td>\n",
       "      <td>[Facility not vermin proof. Harborage or condi...</td>\n",
       "      <td>[N, Y]</td>\n",
       "      <td>[Cycle Inspection / Initial Inspection, Cycle ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77541</th>\n",
       "      <td>40364956</td>\n",
       "      <td>THE NEW STARLING ATHLETIC CLUB OF THE BRONX</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>10462.0</td>\n",
       "      <td>American</td>\n",
       "      <td>2018-06-14</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>12.0</td>\n",
       "      <td>40.83061</td>\n",
       "      <td>-73.849647</td>\n",
       "      <td>A</td>\n",
       "      <td>[08A, 04L]</td>\n",
       "      <td>[Facility not vermin proof. Harborage or condi...</td>\n",
       "      <td>[N, Y]</td>\n",
       "      <td>[Cycle Inspection / Initial Inspection, Cycle ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127271</th>\n",
       "      <td>40364956</td>\n",
       "      <td>THE NEW STARLING ATHLETIC CLUB OF THE BRONX</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>10462.0</td>\n",
       "      <td>American</td>\n",
       "      <td>2018-04-05</td>\n",
       "      <td>No violations were recorded at the time of thi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.83061</td>\n",
       "      <td>-73.849647</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>[Smoke-Free Air Act / Initial Inspection]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           camis                                          dba   boro  zipcode  \\\n",
       "39430   40364956  THE NEW STARLING ATHLETIC CLUB OF THE BRONX  Bronx  10462.0   \n",
       "52724   40364956  THE NEW STARLING ATHLETIC CLUB OF THE BRONX  Bronx  10462.0   \n",
       "77541   40364956  THE NEW STARLING ATHLETIC CLUB OF THE BRONX  Bronx  10462.0   \n",
       "127271  40364956  THE NEW STARLING ATHLETIC CLUB OF THE BRONX  Bronx  10462.0   \n",
       "\n",
       "       cuisine_description inspection_date  \\\n",
       "39430             American      2019-06-11   \n",
       "52724             American      2017-05-16   \n",
       "77541             American      2018-06-14   \n",
       "127271            American      2018-04-05   \n",
       "\n",
       "                                                   action  score  latitude  \\\n",
       "39430     Violations were cited in the following area(s).   10.0  40.83061   \n",
       "52724     Violations were cited in the following area(s).   10.0  40.83061   \n",
       "77541     Violations were cited in the following area(s).   12.0  40.83061   \n",
       "127271  No violations were recorded at the time of thi...    NaN  40.83061   \n",
       "\n",
       "        longitude grade violation_code  \\\n",
       "39430  -73.849647     A          [05D]   \n",
       "52724  -73.849647     A     [08A, 04L]   \n",
       "77541  -73.849647     A     [08A, 04L]   \n",
       "127271 -73.849647   NaN          [nan]   \n",
       "\n",
       "                                    violation_description critical_flag  \\\n",
       "39430   [Hand washing facility not provided in or near...           [Y]   \n",
       "52724   [Facility not vermin proof. Harborage or condi...        [N, Y]   \n",
       "77541   [Facility not vermin proof. Harborage or condi...        [N, Y]   \n",
       "127271                                              [nan]         [nan]   \n",
       "\n",
       "                                          inspection_type  \n",
       "39430             [Cycle Inspection / Initial Inspection]  \n",
       "52724   [Cycle Inspection / Initial Inspection, Cycle ...  \n",
       "77541   [Cycle Inspection / Initial Inspection, Cycle ...  \n",
       "127271          [Smoke-Free Air Act / Initial Inspection]  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_single_visits[df_single_visits.camis==40364956]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "camis                                                             41282127\n",
       "dba                                          LOS TRES POTRILLOS RESTAURANT\n",
       "boro                                                                Queens\n",
       "zipcode                                                              11368\n",
       "cuisine_description                                                Mexican\n",
       "inspection_date                                        2017-04-13 00:00:00\n",
       "action                     Violations were cited in the following area(s).\n",
       "score                                                                   39\n",
       "latitude                                                           40.7517\n",
       "longitude                                                         -73.8555\n",
       "grade                                                                  NaN\n",
       "violation_code                         [02G, 10F, 05D, 06F, 08A, 06C, 10B]\n",
       "violation_description    [Cold food item held above 41º F (smoked fish ...\n",
       "critical_flag                                        [Y, N, Y, Y, N, Y, N]\n",
       "inspection_type          [Cycle Inspection / Initial Inspection, Cycle ...\n",
       "Name: 29415, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_single_visits.iloc[29415]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Which restaurants are visited the most"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       camis                                 dba  Count\n",
      "0   50018552           ORCHID DYNASTY RESTAURANT     96\n",
      "1   41669112       LA VIE EN SZECHUAN RESTAURANT     90\n",
      "2   50035784                 BIG WONG RESTAURANT     84\n",
      "3   50056245                    MING KEE KITCHEN     83\n",
      "4   41683816             MAX BAKERY & RESTAURANT     83\n",
      "5   40700664                 PHO BANG RESTAURANT     80\n",
      "6   41409441                      GOLDEN STEAMER     80\n",
      "7   41187577             HANSOL NUTRITION CENTER     77\n",
      "8   50056438         KABAYAN FILIPINO RESTAURANT     76\n",
      "9   50064654                ANPANMAN BAKERY CAFE     76\n",
      "10  50069376                             QINGDAO     76\n",
      "11  40400811                          CAFE VOLNA     75\n",
      "12  50001789  RESTAURANTE & PANADERIA GUATELINDA     73\n",
      "13  41510846                      218 RESTAURANT     73\n",
      "14  41425803                        DONUT SHOPPE     72\n",
      "15  50036890        NEW SHANGHAI TIDE RESTAURANT     71\n",
      "16  50047362                      CAFE HONG KONG     71\n",
      "17  50001693                          ANKA GRILL     70\n",
      "18  50018415                      BREAD & BUTTER     70\n",
      "19  41591603              ARIS POLLOS A LA BRASA     69\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_v = df.groupby(['camis', 'dba'],as_index=False)['score'].count()\n",
    "df_v.rename(columns={'score': 'Count'}, inplace=True)\n",
    "df_v.sort_values(by='Count', ascending=False, inplace=True)\n",
    "df_v.reset_index(drop=True,inplace=True)\n",
    "# df_v.head(20).plot.bar(x='dba', y='Count')\n",
    "plt.hist(df_v.Count, bins=50)\n",
    "plt.ylabel('Number of Restaurants')\n",
    "plt.xlabel('Number of Visits')\n",
    "print(df_v.head(20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>camis</th>\n",
       "      <th>dba</th>\n",
       "      <th>boro</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>cuisine_description</th>\n",
       "      <th>inspection_date</th>\n",
       "      <th>action</th>\n",
       "      <th>score</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>grade</th>\n",
       "      <th>violation_code</th>\n",
       "      <th>violation_description</th>\n",
       "      <th>critical_flag</th>\n",
       "      <th>inspection_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6101</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2017-10-19</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>6.0</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>A</td>\n",
       "      <td>[04M, 04L]</td>\n",
       "      <td>[Live roaches present in facility's food and/o...</td>\n",
       "      <td>[Y, Y]</td>\n",
       "      <td>[Cycle Inspection / Re-inspection, Cycle Inspe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9773</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2018-09-25</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>80.0</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[04M, 10B, 06F, 10D, 02G, 05D, 10A, 02H, 06C, ...</td>\n",
       "      <td>[Live roaches present in facility's food and/o...</td>\n",
       "      <td>[Y, N, Y, N, Y, Y, N, Y, Y, Y, Y, N, Y, Y, N, N]</td>\n",
       "      <td>[Cycle Inspection / Initial Inspection, Cycle ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28484</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2018-10-17</td>\n",
       "      <td>Establishment Closed by DOHMH.  Violations wer...</td>\n",
       "      <td>115.0</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[10B, 06D, 04H, 10F, 08A, 10D, 06C, 04L, 04N, ...</td>\n",
       "      <td>[Plumbing not properly installed or maintained...</td>\n",
       "      <td>[N, Y, Y, N, N, N, Y, Y, Y, Y]</td>\n",
       "      <td>[Cycle Inspection / Re-inspection, Cycle Inspe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33310</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2016-11-28</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>21.0</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[08A, 06C, 10B, 04L, 08C]</td>\n",
       "      <td>[Facility not vermin proof. Harborage or condi...</td>\n",
       "      <td>[N, Y, N, Y, N]</td>\n",
       "      <td>[Cycle Inspection / Initial Inspection, Cycle ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45167</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2016-09-02</td>\n",
       "      <td>No violations were recorded at the time of thi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[nan, 20F]</td>\n",
       "      <td>[nan, Current letter grade card not posted.]</td>\n",
       "      <td>[nan, N]</td>\n",
       "      <td>[Trans Fat / Initial Inspection, Administrativ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49597</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2018-06-11</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>34.0</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>C</td>\n",
       "      <td>[10B, 04H, 02G, 06C, 08A, 04M]</td>\n",
       "      <td>[Plumbing not properly installed or maintained...</td>\n",
       "      <td>[N, Y, Y, Y, N, Y]</td>\n",
       "      <td>[Cycle Inspection / Re-inspection, Cycle Inspe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50751</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2017-08-14</td>\n",
       "      <td>Establishment Closed by DOHMH.  Violations wer...</td>\n",
       "      <td>79.0</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[05F, 08A, 04K, 04H, 02G, 04M, 04N]</td>\n",
       "      <td>[Insufficient or no refrigerated or hot holdin...</td>\n",
       "      <td>[Y, N, Y, Y, Y, Y, Y]</td>\n",
       "      <td>[Cycle Inspection / Initial Inspection, Cycle ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63434</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2018-04-06</td>\n",
       "      <td>Establishment Closed by DOHMH.  Violations wer...</td>\n",
       "      <td>51.0</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[08A, 10F, 02B, 10B, 04L, 04M]</td>\n",
       "      <td>[Facility not vermin proof. Harborage or condi...</td>\n",
       "      <td>[N, N, Y, N, Y, Y]</td>\n",
       "      <td>[Cycle Inspection / Initial Inspection, Cycle ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68252</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2016-05-24</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>31.0</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>C</td>\n",
       "      <td>[06F, 04L, 02G, 10F, 04N, 08A]</td>\n",
       "      <td>[Wiping cloths soiled or not stored in sanitiz...</td>\n",
       "      <td>[Y, Y, Y, N, Y, N]</td>\n",
       "      <td>[Cycle Inspection / Re-inspection, Cycle Inspe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82535</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2017-01-20</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>13.0</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>A</td>\n",
       "      <td>[06D, 09B, 04M]</td>\n",
       "      <td>[Food contact surface not properly washed, rin...</td>\n",
       "      <td>[Y, N, Y]</td>\n",
       "      <td>[Cycle Inspection / Re-inspection, Cycle Inspe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93511</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2018-04-10</td>\n",
       "      <td>Establishment re-opened by DOHMH</td>\n",
       "      <td>14.0</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>P</td>\n",
       "      <td>[04M, 10F, 09C, 08A]</td>\n",
       "      <td>[Live roaches present in facility's food and/o...</td>\n",
       "      <td>[Y, N, N, N]</td>\n",
       "      <td>[Cycle Inspection / Reopening Inspection, Cycl...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107930</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2016-03-11</td>\n",
       "      <td>Violations were cited in the following area(s).</td>\n",
       "      <td>8.0</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[06D, 10F]</td>\n",
       "      <td>[Food contact surface not properly washed, rin...</td>\n",
       "      <td>[Y, N]</td>\n",
       "      <td>[Cycle Inspection / Initial Inspection, Cycle ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119131</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2017-08-18</td>\n",
       "      <td>Establishment re-opened by DOHMH</td>\n",
       "      <td>2.0</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>P</td>\n",
       "      <td>[10B]</td>\n",
       "      <td>[Plumbing not properly installed or maintained...</td>\n",
       "      <td>[N]</td>\n",
       "      <td>[Cycle Inspection / Reopening Inspection]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130395</th>\n",
       "      <td>41297769</td>\n",
       "      <td>BROTHERS FISH MARKET</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>10032.0</td>\n",
       "      <td>Seafood</td>\n",
       "      <td>2018-08-28</td>\n",
       "      <td>No violations were recorded at the time of thi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.836121</td>\n",
       "      <td>-73.943382</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>[nan]</td>\n",
       "      <td>[Administrative Miscellaneous / Initial Inspec...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           camis                   dba       boro  zipcode  \\\n",
       "6101    41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "9773    41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "28484   41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "33310   41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "45167   41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "49597   41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "50751   41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "63434   41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "68252   41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "82535   41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "93511   41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "107930  41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "119131  41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "130395  41297769  BROTHERS FISH MARKET  Manhattan  10032.0   \n",
       "\n",
       "       cuisine_description inspection_date  \\\n",
       "6101               Seafood      2017-10-19   \n",
       "9773               Seafood      2018-09-25   \n",
       "28484              Seafood      2018-10-17   \n",
       "33310              Seafood      2016-11-28   \n",
       "45167              Seafood      2016-09-02   \n",
       "49597              Seafood      2018-06-11   \n",
       "50751              Seafood      2017-08-14   \n",
       "63434              Seafood      2018-04-06   \n",
       "68252              Seafood      2016-05-24   \n",
       "82535              Seafood      2017-01-20   \n",
       "93511              Seafood      2018-04-10   \n",
       "107930             Seafood      2016-03-11   \n",
       "119131             Seafood      2017-08-18   \n",
       "130395             Seafood      2018-08-28   \n",
       "\n",
       "                                                   action  score   latitude  \\\n",
       "6101      Violations were cited in the following area(s).    6.0  40.836121   \n",
       "9773      Violations were cited in the following area(s).   80.0  40.836121   \n",
       "28484   Establishment Closed by DOHMH.  Violations wer...  115.0  40.836121   \n",
       "33310     Violations were cited in the following area(s).   21.0  40.836121   \n",
       "45167   No violations were recorded at the time of thi...    NaN  40.836121   \n",
       "49597     Violations were cited in the following area(s).   34.0  40.836121   \n",
       "50751   Establishment Closed by DOHMH.  Violations wer...   79.0  40.836121   \n",
       "63434   Establishment Closed by DOHMH.  Violations wer...   51.0  40.836121   \n",
       "68252     Violations were cited in the following area(s).   31.0  40.836121   \n",
       "82535     Violations were cited in the following area(s).   13.0  40.836121   \n",
       "93511                    Establishment re-opened by DOHMH   14.0  40.836121   \n",
       "107930    Violations were cited in the following area(s).    8.0  40.836121   \n",
       "119131                   Establishment re-opened by DOHMH    2.0  40.836121   \n",
       "130395  No violations were recorded at the time of thi...    NaN  40.836121   \n",
       "\n",
       "        longitude grade                                     violation_code  \\\n",
       "6101   -73.943382     A                                         [04M, 04L]   \n",
       "9773   -73.943382   NaN  [04M, 10B, 06F, 10D, 02G, 05D, 10A, 02H, 06C, ...   \n",
       "28484  -73.943382   NaN  [10B, 06D, 04H, 10F, 08A, 10D, 06C, 04L, 04N, ...   \n",
       "33310  -73.943382   NaN                          [08A, 06C, 10B, 04L, 08C]   \n",
       "45167  -73.943382   NaN                                         [nan, 20F]   \n",
       "49597  -73.943382     C                     [10B, 04H, 02G, 06C, 08A, 04M]   \n",
       "50751  -73.943382   NaN                [05F, 08A, 04K, 04H, 02G, 04M, 04N]   \n",
       "63434  -73.943382   NaN                     [08A, 10F, 02B, 10B, 04L, 04M]   \n",
       "68252  -73.943382     C                     [06F, 04L, 02G, 10F, 04N, 08A]   \n",
       "82535  -73.943382     A                                    [06D, 09B, 04M]   \n",
       "93511  -73.943382     P                               [04M, 10F, 09C, 08A]   \n",
       "107930 -73.943382   NaN                                         [06D, 10F]   \n",
       "119131 -73.943382     P                                              [10B]   \n",
       "130395 -73.943382   NaN                                              [nan]   \n",
       "\n",
       "                                    violation_description  \\\n",
       "6101    [Live roaches present in facility's food and/o...   \n",
       "9773    [Live roaches present in facility's food and/o...   \n",
       "28484   [Plumbing not properly installed or maintained...   \n",
       "33310   [Facility not vermin proof. Harborage or condi...   \n",
       "45167        [nan, Current letter grade card not posted.]   \n",
       "49597   [Plumbing not properly installed or maintained...   \n",
       "50751   [Insufficient or no refrigerated or hot holdin...   \n",
       "63434   [Facility not vermin proof. Harborage or condi...   \n",
       "68252   [Wiping cloths soiled or not stored in sanitiz...   \n",
       "82535   [Food contact surface not properly washed, rin...   \n",
       "93511   [Live roaches present in facility's food and/o...   \n",
       "107930  [Food contact surface not properly washed, rin...   \n",
       "119131  [Plumbing not properly installed or maintained...   \n",
       "130395                                              [nan]   \n",
       "\n",
       "                                           critical_flag  \\\n",
       "6101                                              [Y, Y]   \n",
       "9773    [Y, N, Y, N, Y, Y, N, Y, Y, Y, Y, N, Y, Y, N, N]   \n",
       "28484                     [N, Y, Y, N, N, N, Y, Y, Y, Y]   \n",
       "33310                                    [N, Y, N, Y, N]   \n",
       "45167                                           [nan, N]   \n",
       "49597                                 [N, Y, Y, Y, N, Y]   \n",
       "50751                              [Y, N, Y, Y, Y, Y, Y]   \n",
       "63434                                 [N, N, Y, N, Y, Y]   \n",
       "68252                                 [Y, Y, Y, N, Y, N]   \n",
       "82535                                          [Y, N, Y]   \n",
       "93511                                       [Y, N, N, N]   \n",
       "107930                                            [Y, N]   \n",
       "119131                                               [N]   \n",
       "130395                                             [nan]   \n",
       "\n",
       "                                          inspection_type  \n",
       "6101    [Cycle Inspection / Re-inspection, Cycle Inspe...  \n",
       "9773    [Cycle Inspection / Initial Inspection, Cycle ...  \n",
       "28484   [Cycle Inspection / Re-inspection, Cycle Inspe...  \n",
       "33310   [Cycle Inspection / Initial Inspection, Cycle ...  \n",
       "45167   [Trans Fat / Initial Inspection, Administrativ...  \n",
       "49597   [Cycle Inspection / Re-inspection, Cycle Inspe...  \n",
       "50751   [Cycle Inspection / Initial Inspection, Cycle ...  \n",
       "63434   [Cycle Inspection / Initial Inspection, Cycle ...  \n",
       "68252   [Cycle Inspection / Re-inspection, Cycle Inspe...  \n",
       "82535   [Cycle Inspection / Re-inspection, Cycle Inspe...  \n",
       "93511   [Cycle Inspection / Reopening Inspection, Cycl...  \n",
       "107930  [Cycle Inspection / Initial Inspection, Cycle ...  \n",
       "119131          [Cycle Inspection / Reopening Inspection]  \n",
       "130395  [Administrative Miscellaneous / Initial Inspec...  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_single_visits[df_single_visits.camis==41297769]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Look at the temporal features of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                  134546\n",
       "unique                   1289\n",
       "top       2019-03-28 00:00:00\n",
       "freq                      276\n",
       "first     2016-01-04 00:00:00\n",
       "last      2020-01-24 00:00:00\n",
       "Name: inspection_date, dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.to_datetime(df_single_visits[\"inspection_date\"]).describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Count of Inspections')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_hist = df_single_visits.inspection_date.dt.year\n",
    "year_hist = year_hist.value_counts().sort_index()\n",
    "year_hist.index = [\"2016\", \"2017\", \"2018\", '2019', '2020']\n",
    "plt.bar(year_hist.index, year_hist.values)\n",
    "plt.xlabel(\"Year\")\n",
    "plt.ylabel(\"Count of Inspections\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Count of Inspections')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "month_hist = pd.to_datetime(df_single_visits[\"inspection_date\"]).dt.month\n",
    "month_hist = month_hist.value_counts().sort_index()\n",
    "month_hist.index = [\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"]\n",
    "plt.bar(month_hist.index, month_hist.values)\n",
    "plt.xlabel(\"Month\")\n",
    "plt.ylabel(\"Count of Inspections\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Count of Inspections')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "day_hist = pd.to_datetime(df_single_visits[\"inspection_date\"]).dt.weekday\n",
    "day_hist = day_hist.value_counts().sort_index()\n",
    "day_hist.index = [\"Mon\", \"Tue\", \"Wed\", \"Thur\", \"Fri\", \"Sat\", \"Sun\"]\n",
    "plt.bar(day_hist.index, day_hist.values)\n",
    "plt.xlabel(\"Day of Week\")\n",
    "plt.ylabel(\"Count of Inspections\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What types of restaurants are being inspected?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of Restaurants')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cus = []\n",
    "cus_n = []\n",
    "for i in df_single_visits[\"cuisine_description\"].unique():\n",
    "    cus.append(i)\n",
    "    cus_n.append(df[df[\"cuisine_description\"]==i][\"camis\"].nunique())\n",
    "my_data_cus = { 'Cuisine Description':cus,'Number':cus_n}\n",
    "my_data_cus = pd.DataFrame(my_data_cus)\n",
    "my_data_cus.sort_values(by='Number', ascending=False, inplace=True)\n",
    "my_data_cus.head(20).plot(x=\"Cuisine Description\", y=[\"Number\"], kind=\"bar\")\n",
    "plt.title('Number of restaurants distribuition as per Cuisine type')\n",
    "plt.ylabel('Number of Restaurants')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How many have critical violations?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "nested = df_single_visits['critical_flag'].values.tolist()\n",
    "\n",
    "df_single_visits['critical'] = [1 if 'Y' in sublist else 0 for sublist in nested]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 18217 116329]\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAakAAAD8CAYAAADNGFurAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAcNUlEQVR4nO3debQcZZ3/8fcHkCVg2JUQQDAIiCsgGrYDBFBk/AmOMuOGgqwuuIwGcQYQBQWJowgoyC4yyMimouPBH8RAEB2CKHoMKgkQIUQIW4gkGEI+80fVNU2nu2/3vd19i9zP65w69/bzrar+dij6e5+qp56SbSIiIqpolZFOICIiopkUqYiIqKwUqYiIqKwUqYiIqKwUqYiIqKwUqYiIqC7bI7YAxwHLgN1r2lYBTgLmAAuBm4E31cQFfB6YCywGbgS271e8xWdxlixZsmQZ2tL0u3WEitNqwPnA02WCtUXqBOBeYAfgxcDpwKPA+mX8JOBB4I3AhsBXgb8CG/QjniKVJUuWLN1fmn23aiRu5pV0ETAR+BgwFdjD9q1l7P8D59m+pnw9FlgAHABMoygYn7R9SRlfBZgFXAh8vZdx219u8ZkMMBL/nisbSUD+LaO6cox2T82/pRrFR+qa1KnALsB99QHb+w0UqNKm5c+ngTcAY4Gf1ay/DLgJ2KcP8YiI6KMRKVK277P9VJurn0xx+u82YLOybV7dOvOA8X2ID0rSCktERAzt+3G1PuQ1ZJL+HTgImGR76cAptSYGzm32Mh4REX1U2SHokj5D0Ys62PZtZfPc8ue4utXHlbFexwfVZFBFRMSoN5Tvx0oWqbJAnQa8x/b1NaE7gKeA/WrWXQWYRDEAo9fx6IMU96i6HKP9U7kiVRao04EP1A2gwPZiiiHhX5T0RkkbAl8B1qYYEdjTeO8/fURE1BqRa1KSJlEzgg6YVl5A2wmYAiwBLpZ0Rc06X7J9AsXIQAHXARtQDKjY2/bj5Xq9jkdERJ+MyH1SK6PcJxUR0bmq3icVERExqEoPQY+Iatl5SsYPRWMzJk/qyX7Tk4qIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMpKkYqIiMoa0SIl6ThJyyTtXtO2hqSzJM2X9LSkayWNr0o8IiL6p+0ipcIudW1bSPqSpNMkvaKDfa0m6Xzg84DqwucCe5bLBOAZ4AZJq1ckHhERfSLb7a0o/RtwKjDW9lJJ6wB/BDYtV/kbMNH2zDb2dREwEfgYMBXYw/atkjYH7gf2tf3zct0XA/OAo4DpIxm3fUWLz2SAdv89I16Idp4ydaRTiIqaMXnSkLaTin6K7foOCwCrdbCvw4DrbC8tXx9OUaCOBWYC3wO+ABzcxr5OBR4DNqhr3wt4FrhloMH2Qkm/BPYBVh3heNMiFRER3ddJkdoa+G7N64OBGba/CSDpUuB97ezI9n3lNvVFajPgYdvP1bXPA8ZXID6ogb8KaqV3FRHR+PtxMJ0MnHgE2KJ8o80pTtddVxNfCGzYcQbP1+rb3BWIR0REH3XSk7oFOEzSXOAAii/t79fEdwVmDTOfucBLJK1a15sZB8ypQHxQ6TVFRDTW6PtxsN5VJz2pE4D5wJeA3YAzbd9bvsk2wFuBSzvYXyPTgNWBPQYaygEaEykGWIx0PCIi+qjtImV7DvAa4O3ALrYn14TvBf4NOGs4ydh+gKLQnSnplZI2Ac6j6MVcPdLx4Xy2iIjoXCf3SX0AGG/7x7b/tzZWjvi7HWjrXilJkyQtZfnpwWmSlkp6HfAR4GaK4eCzgTHAW2wvKdcd6XhERPRJJ/dJPQd8ynbD3lI5TPsR2wd2Mb8XjNwnFaNB7pOKZnp1n1Qn16QGGzs4neJaVURERFe0HN0n6aS6pv0lrddg1THAh4CcEouIiK4ZbAj6McAmNa/3L5dmTh5uQhEREQNaFinbm0oaB2wP/Aj4GXBrg1X/Dtxle3r3U4yIiNFq0Jt5bc8D5kmaA1xv++LepxUREdHBjBO2t+9lIhEREfWaFqlyFom3AFfZ/qukHdvZoe07u5VcRESMbq16UjdSzPz9NopidQeDT7LqQfYZERHRtlYFZSbFoyvuLl/fQmYCj4iIPmpVpN4KjLP9EIDtvfqSUURERKlpkXIxv89DfcwlIiLieTqZYHYLSefWtR0taa6keZI+1/30IiJiNOtk7r4vAAeonA1Q0quAbwJrAk8Dp0p6f/dTjIiI0aqTIrU/8H0vn+b7KIqZJl4HbAvcBny8u+lFRMRo1kmRGgs8WvP6QODHth8sH7X+U2CbbiYXERGjWydFajawD4CkA4DNgR/UxMeSIeoREdFFndx4exlwhqQ/Utw/NZ+ySElaDXgnxSm/iIiIruikSJ1JMQPFIcADwIdtLy5jEyh6Vh/qbnoRETGadTLB7FLgU+VSH/uTpC1sP9LN5CIiYnTr5JpUSylQERHRba1mQf8a8EHgJNvflPSjNvZn2wd2LbuIiBjVWp3u+yCwPvBeipt239bG/jK6LyIiuqZVkXovxYi988rXe/c+nYiIiOVaFanptm8YeGH75j7kExER8Q+tBk7MlXSmpG37lk0NSVtLuk7SY+VyraSXl7H1JV0maYGkJyVdImndmm17Go+IiP5oVaRWBY4FZkr6maQDByaX7ZPrAQHbl8sqwI/L2NXApsBrgdcDWwBX1Wzb63hERPRBq9N9O1EUqUOAfSmmRHpQ0reBC3s55FzSesB2wGdsP1y2XQD8WNJuwCRggu05ZexIYLakXSkKW8/itjOrRkREnzTtSdm+x/bHKXoURwJ3UswqcQrwF0mXl1/qXWf7SWA6cISkjSVtXOYwjaKAzLJ9b8369wKzKAppr+MREdEng97Ma3ux7Yts7wzsDFwCPEsx+m+6pDslHS5prS7ndgjFY0AeKZfXUgyL34zGTwyeRzFtU6/jLUlaYYmIiKF9P3Y044TtX9s+gqJ39XHgboprNudTDLT42hDyXkFZ8G4C/hfYpFxmADfS+l4s9yEeERF9MqRpkWwvtH2O7VcDBwH3AusBn+hSXvtSTFr7MdsPl9eljgVeAcylKJL1xpWxXsdbsr3CEhERQ/t+HPLcfZL2l/RD4BqKgrKM4sGH3dBoQMdz5c9lwARJW9XkshWwNTC1XHoZj4iIPlEnf+lL2hA4HDga2JJiJNzjwMXAubbv60pS0ljg98AtwKfL5jOB3YBXUzzHahlwRJnDhcAy228ut7+pl/EmORtIzylWajtPyd9p0diMyZOGtN3AdSnbDS9QtdWTkrSrpO8CDwKnAVtRjPb7ELCZ7eO6VaDKZJ8C9gPWpbjudTewDrCf7YUU0zXNA34H/Jbi+VYH1+yi1/GIiOiDpj0pSWtTjLD7MEXvRcDfgf8GvmX79n4l+UKQnlSMBulJRTO96km1upn3booh1wLup5ho9iLbjw0pk4iIiA61KlKbATdQPKbjJ04XISIi+qxVkXqF7dl9yyQiIqJOq2mRUqAiImJEDfk+qYiIiF5LkYqIiMpKkYqIiMpqWqQk7SRpg5rXW0hapz9pRUREtO5JTaW4mXfAfRQzTERERPRFqyK1BHhlzes8GCkiIvqq1X1SM4BDJS0AZpZte0tqtQ22u/JMqYiIiFYF53MUDxmczPKH/b29XBpRuV6KVEREdEXTImX7LkmvAt4FbAx8nuJ5UTP6lFtERIxyg526ewT4FoCkzwPftN2tBxtGRES01LJI1XmZ7Qd6lklERESdtovUQIGS9FKKU4DblaE/AVfb/mv304uIiNGsk54Uko6ieIz7Giwfkm7gDEmfsH1Bl/OLiIhRrO0iJWlf4FxgQfnzD2XoVRQ3+Z4rabbtPLozIiK6opOe1GeAR4GdbD9YG5D0deDXFMPVU6QiIqIrOplg9o3AlfUFCqBsuxJ4U7cSi4iI6KRIjaHoSTXzKLDW8NKJiIhYrpMiNQfYo0V893KdiIiIruikSF0L7CPpDEljBxoljZX0FWBf4JpuJxgREaNXJwMnTgMOohhA8SlJD5Xt48r93A2c3t30IiJiNGu7J2X7KWAicA7wJLB5uTxVtu1qe2EvkoyIiNGpo8fH215g++O2NwZeCrzU9kZl24LepAiSzpc0T9L48rUkfV7SXEmLJd0oafua9Xsaj4iI/uioSNWyPd/2/G4m04iko4HDgHfbnls2nwgcCbwD2Az4LTC15nH3vY5HREQfDLlI9YOkHYFvAMfbvrlsWwv4NHCi7dttPwYcBywCjul1vH+fPiIiKlukyhGEVwHX2/7PmtAbgLHAzwYabC8DbgL26UM8IiL6pLJFCjgDeDmwnaRFkmZKejfF6TeAeXXrzwPG9yHekqQVloiIGNr3YyWLlKT1KSat/Snw/yiGuX8P+C9gQotNzfJH3fcqHhERfdJ2kZI0tZwJvR+2BV4EHG77/nJU4SnALGDvcp1xdduMA+aWSy/jLdleYYmIiKF9P3bSk5oIvGbI2XXmL03aV6EYafcUsN9Ao6RVgEkUM7Df0eN4RET0SSczTtwB7NirRGrZfkjS/wBnSzoWeIbiMSAbA2dR3Ez8RUkzgdnA8cDawHm2F0v6aq/i/fj8ERFR6KRIHQvcKOk44EzbS3qU04BDKAZP3AFsANwK7Gl7jqRTKZ4MfF0Zuw3Y2/bj5ba9jkdERB+o3Wsmkv4b2BXYFFgCPNtgNdtet3vpvXBIMpBrULFS23lKznhHYzMmTxrSdgMj/Gw3HOrXSU/q4Jrf1yiXiIiInmm7SNmu5HD1iIhYeaXwREREZXVUpCSNkTRZ0jRJf5T0prJ9TUmf7k2KERExWrV9uq+cAfwWYHvgaWAMxeM6ALYApkiaZ/uKrmcZERGjUic9qVOAV1A8nfc1FEO0AbD9Z4oJWI/oanYRETGqdVKkDgK+Y/tHNJ7D7lZgh65kFRERQWdFakPgvkHWWXMYuURERDxPJ0XqAWCnFvFJwJzhpRMREbFcJ0XqGuAdkj7B8ht5LWktSVOA3YGru51gRESMXp0UqS8Dfwa+BtxFcV3qQooZwz8N/K5cJyIioivaLlK2nwJ2Ac6nmJVcFLOSPwpMAXa3vagXSUZExOjUydx92H4S+LCkj1IUqGczM3hERPRKR0WqxuYUT6p9RtJi24u7mFNERATQ+bRI75E0C7gX+AXwa+BJSddI2roXCUZExOjVybRI7wMuo7gWNYviEe9rAxOAdwB7StrN9p96kWhERIw+nfSkPgcsAibZ3sb2vrZ3oXgI4seB9YHTepBjRESMUp1ck5oAnG97Wm2j7aXAOZL2AN7cxdwiImKU66QnNRf4a4v4XcCqw0snIiJiuU6K1MXA/i3i2wDTh5dORETEck1P90nasa7p58Chkk4Hvl8XezmwL7BXV7OLiIhRrdU1qTto/EiOyeVST8CvgI26kFdERETLInULjYtUREREXzQtUrb36mMeERERK+hoxomIiIh+6nRapI0kfVLSOZIubrBc1Isky+mYLGmv8vUaks6SNF/S05KulTS+Zv2exiMioj86mRZpJ+BGYCzFIIlGDBzehbxq3/c1wNnAgprmcymeErwn8DjFM65ukLSj7SV9iEdERB90MuPEVykK1HnAbRTPlOopSesB1wHHASeVbZsDHwT2tT2zbDsamAe8S9L0XsaBK3r9uSMiotBJkdoB+I7tj/YqmVqSBFwO3Gz7YkknlaG9gGcpRh8CYHuhpF8C+1DMetHLeIpURESfdFKkFgGze5VIAycB4yl6L7U2Ax62/Vxd+7xy/V7HWypq6/PZGckfEdHo+3EwnQyc+BFwsKS1On6XDkk6APgE8C7b9acVW33juw/xiIjok056Up+lKFSzyus2ixqsY9vdGDjxSWAt4Bc1lXdj4FpgXWCJpFXrejvjgDkUE+G+pIfxltJriohorNH342C9q06K1BhgMcWX9b80y4HujO47iGKQRq0ZFL2rGcD9wB7ANABJ6wATgUsoJrldvYfxiIjok06K1OUUX9zfoCgUf+9JRoDtRdT11CQ9Bzxu+wFJlwJnSnoP8ATFyMM5wNW2l/Qy3qvPHBERK+qkSE0ELrD9qV4l04GPAGdQ9HrWAm4A3lJzD1Ov4xER0Qdq9xqKpLuBK2yf0tuUXpgkGXJNKlZuO0+ZOtIpREXNmDxpSNsNXJOy3fDiVCej+04ADpE0ZkiZREREdKiT033rUdzo+mtJ9zRZx7YPHH5aERERnRWpC2p+37bJOjnXFRERXdNJkdq7Z1lEREQ00HaRsn1zLxOJiIiol4ceRkREZXXyPKmn2ljNttcdRj4RERH/0Mk1qXUGiT8B3DqMXCIiIp6n7dN9tldptgBvp5jG6KieZRoREaNOV65J2f4xcDuQ2SgiIqJrujlw4nYgN/JGRETXdLNIbc+Kj9eIiIgYsk5G9/1zk9CawO7A+4BfdSOpiIgI6Gx039U0n/ZIwFMUj7iIiIjoik6K1GU0LlKLgHuA79p+rCtZRURE0Nm0SIf2MI+IiIgVZFqkiIiorKY9KUkfGMoObV829HQiIiKWa3W671JaPx9q4FG/tesso7h2FRERMWytitRhbWy/KnA8sDVFsTqpG0lFRERAiyJl+zutNpS0EXAlRYFaABxSTo8UERHRFZ0MQf8HSTsB1wBbAH8A/tn2Pd1MLCIiouPRfZIOBaZTFKirgIkpUBER0QttFylJq0n6FnAR8CLgs7b/1fbTPcsuIiJGtbaKlKRNgJuBo4HHgf1tT+llYpLWkvQNSQ9JWiDpJ5K2LWNrSDpL0nxJT0u6VtL4mm17Go+IiP4YtEhJ2g24E9gF+A2wk+2bep0YcHb5nnsBWwKPAddLWhU4F9izXCYAzwA3SFq93LbX8YiI6IOWAyckfRT4T4rTe5cCx9he0uukJK0G7AwcZfvPZdtXgbuAXYEPAvvanlnGjgbmAe+SNL2XceCKXn/+iIgotJpx4gLgQ+XLe4D7geMlNdsEwLaH/XRe20uB19U1b1r+fDnwLHBLzfoLJf0S2Ifi3q1exlOkIiL6pFVP6vCa37cBTm5jf6YHj5AvT/GdQDGqcFPgYdvP1a02DxgPbNbj+GC5rtBmt5q4IyJidBikk9NQqyK199BT6bpvUTz5903AO1usZ1pP5dSNeERE9EmrGSdu7mcizUg6G3g3sJ/teyTNBV4iadW63s44YA7Q63hL6TVFRDTW6PtxsN5VpR/VURaow4ADbN9eNk8DVgf2qFlvHWAiMLUP8YiI6JMhTYvUD2WBOpyiQP1ioN32A5IuBc6U9B7gCeCrFL2cq20v6WW8l5955ympgdHYjMmTRjqFiBFRyZ6UpL2Bj1E8DuQGSa5ZjgA+QnFz8XRgNjAGeEvN8PhexyMiog+UayjdIckwvGtS6UlFM1XpSeUYjWaGeowOXJOy3fDiVCV7UhEREZAiFRERFZYiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFRERlZUiFZVzx3H7cMdx+4x0GhFN5RjtnxSpJiStL+kySQskPSnpEknrjnReERGjSYpUc1cDmwKvBV4PbAFcNaIZRUSMMquNdAJVJGk3YBIwwfacsu1IYLakXW3fNqIJRkSMEulJNTYJmGX73oGG8vdZQE5ER0T0iWyPdA6VI+nbwHa296xrvwWYafuYBtvkHzIiYohsq1F7elKNtSo4KUYREX2Sa1KNzaXxab1xwM8abdDsr4CIiBi69KQamwpMkLTVQEP5+9ZlLCIi+iDXpJqQdBOwDDgCEHAhsMz2m0c0sYiIUSQ9qebeCcwDfgf8FngAOHhEM4qIGGXSk4qIiMpKTyoiIiorRSqeR9I0ST+QtMKxUcZO7vL7rSnps5J+J2mxpKck3SLpoBbb/JOkxyW9ocU+Z0k6Y5i5XSrpxuHsI6pF0qaSzpZ0v6QlkuZLukrS65us/2VJsyWNaRLfoTwW3z7MvO6XdMJw9rGySpGKRg4EvjDcnUg6vdX/eOX/+D8HDgUmAxsA2wDfB46WtHqTTZ8A7gEWlvt5paQ/18SXlvG5w/0MsfKQtB3wG2ArimP8xcCuwF+A9zfZ7CGKY2lpuY9jJF1YE19Yxp/oUdqjXu6TikYeB/5D0p22rxvGfnYApreIn0gxee+2tv9Sti0GzimXhsq5E99U0/R6av7gsr0UeOsQc46V18XAw8CBtp8r2+4BPt1sA9v1x+IOdfFZPP9YjC5LTyoaORe4GbhM0vbNVipPdUyT9IykRyWdKWmdMjYb2A84RZIlnVq3rYDDgMtqClSj9zhU0l2SPiHpifLxKXuV+9xM0inAJRT3tVnSg+V2zzt9Ium95SnAJZJmDpyekbSnpKmSFkmaK+n4of6jRXWVx/EuwGk1Bap+nUslnVv+fEbShySdLGlWGf85xS0ph5fH2uWStix/371cZ3VJX5L0cLmPmwb+H5J0hKTfl+0zJe3fn0//wpYiFY0sBf6Fokf1Q0nr1a8gaRwwrVw2ofgC2B04H8D2BIrTKCfalu36034bAS+lGN4/mFdTnAYcb/sDtQHbJwKnA7PL99msQa5vBy6l6LltQHF68dkyPLHMeWPgg8CXJe3RRk7xwvKq8udgx9uRwI3A2rYvrg3Y3pvizMBF5bHW6BTh6RSnDg8ENgTOhqJ4Aa8DjqE4Bq8Erhz4oy6aS5GKhmzPB94BjAeuaDCQ4hBgAfAF20/avgc4AXiPpA16kNJnbC8a4rYfBq62/T3bf7N9u+2fAtj+iu0rbT9t+0aKaxA5fTN6zbB9ebPeVivl2YGjgS/Z/lV5TP3A9kzbS2wfa/sX5XF8BbAusF2X81/ppEhFU7bvBI6iuL5zal14S2COn3+j3f3lz5e1sftHgfnATu2l4sVtrNfMy4DZjQKSXlM+dXm2pGcoivKaw3ivqKaZ5c/Bjrenh/EeGwNjaH6svU3S9ZLmAXeXzTnWBpEiFS3Zvhz4OvA5itMVA+4HXlb+9Thgy/LnnDb2a+A7wPslTehKss3NAVZ4D0kbAb+kmFlkf2AsbeQeLzy2/wDcAfy7pBf16G3mA4tofKztTzFq9WpgR9KDaluKVLRjMsXEurXXpi6nOF1xoqR1JW0NfBG40vbj5ToLgVdLermkzRvs9wvAH4GfS3qrpDXKfR0qaY6kTdrMbyGwiaStJO3YIH4h8C5J75C0lqRdJX2SYlb7tYGfAA9STHu1cZvvGS88h1NcP72p7EGvJml8eS9Uu0/bXghsK2lzSdvWBso/vC4Gjpf0ekljygE7/wS8AngS+B/g7xQDMKINKVIxqPL8/L9ScxrD9kPAXhRPMX4Y+BVFr+TImk3PAN4M/IJiUEX9fv9Wtn8XOIviC2AOxYXnj9r+a5spXlnm9nuKL4jnPTbF9jXAx4CvUNzPcg7FQIvfA9+mePzKLGALimsFsRKy/TuK0333Ufw3X0zRu9qS4rR2O86i6Cn9Bnhbg/hxwA+BnwKPAB8A7gX+i2K4+wPALcBt5esYRObui4iIykpPKiIiKitFKiIiKitFKiIiKitFKiIiKitFKiIiKitFKiIiKitFKiIiKitFKiIiKuv/AE1BeqRVx6ApAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "month_hist = df_single_visits[\"critical\"]\n",
    "month_hist = month_hist.value_counts().sort_index()\n",
    "month_hist.index = [\"Not Critical\", \"Critical\"]\n",
    "plt.bar(month_hist.index, month_hist.values)\n",
    "plt.ylabel('Number of Visits')\n",
    "print(month_hist.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.527559347732374"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "70981/df_single_visits.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So 86% of restaurants visits had a critical violation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of Violations')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Now let us check the distribution of Violation Types\n",
    "df_v = df.groupby(['violation_code'],as_index=False)['camis'].count()\n",
    "df_v.rename(columns={'camis': 'Count'}, inplace=True)\n",
    "df_v.sort_values(by='Count', ascending=False, inplace=True)\n",
    "df_v.reset_index(drop=True,inplace=True)\n",
    "df_v.head(20).plot.bar(x='violation_code', y='Count')\n",
    "plt.ylabel('Number of Violations')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "codes = df.violation_code.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['02A', '02B', '02C', '02D', '02E', '02F', '02G', '02H', '02I',\n",
       "       '02J', '03A', '03B', '03C', '03D', '03E', '03F', '03G', '04A',\n",
       "       '04B', '04C', '04D', '04E', '04F', '04G', '04H', '04I', '04J',\n",
       "       '04K', '04L', '04M', '04N', '04O', '05A', '05B', '05C', '05D',\n",
       "       '05E', '05F', '05H', '06A', '06B', '06C', '06D', '06E', '06F',\n",
       "       '06G', '06H', '06I', '07A', '08A', '08B', '08C', '09A', '09B',\n",
       "       '09C', '10A', '10B', '10C', '10D', '10E', '10F', '10G', '10H',\n",
       "       '10I', '10J', '15A1', '15E2', '15E3', '15F1', '15F2', '15F6',\n",
       "       '15F7', '15F8', '15G7', '15I', '15J', '15K', '15L', '15S', '15T',\n",
       "       '16A', '16B', '16C', '16D', '16E', '16F', '17A1', '17A3', '18B',\n",
       "       '18C', '18D', '18F', '18G', '19A1', '19A3', '20A', '20D', '20E',\n",
       "       '20F', '22A', '22B', '22C', '22E', '22F', '22G'], dtype='<U4')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sort([c for c in codes if isinstance(c, str)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total Number of times Restaurants closed by the Health Inspectors are 16450\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of Closings')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SzcxsABUFmVdJl676tA5ZHRARsyLizoiYk7tNHwqsSLq89lhebFzdauNyWqv0Mu+/wPS2o6/s1+cwM+s19cfHiNbn7kX3ydwC7CtpJm+Mrry9pFajBPykdInL6XtGzWxgKjAL2Bk4A14fAXoH4Ocl0s3MbAAVBYyvA1cAh/HGpaYP5akR5eXaCjKSvgHcClxLqoGcDPwZuC6Pp3Ys8F1J9wAPAl8DlgFOjoiXi9LbKZeZmVVXNEDm7ZLeQhqzbCzpnpZLSTWctkjagZoeYMA1uQFpMvAicAywLvAkcDGpS/K8vOxRpID2W2AF4EZg+4h4tmS6mZkNEJW5pgYgaT7wgYi4tLtFGhySAljoGuPbj7mqcL1bDtuhML3V+mXyMDMbqvp6mEVEw3b70mOXAWtExPROFMrMzBYNVQbInA4gaRXSJbQNctJ9wPm5J5iZmdnrqtRkkHQg6dkyI3mjS3MAR0v6YkSc1uHymZnZMFY6yEjaCZgCzMx/785JbyHdpDlF0oMR0boRwszMFglVajJfAZ4GJkfEo7UJko4jdTs+jDRSgJmZWaUBMt8BnFMfYADyvHOALTpVMDMzG/6qBJlRpJpMM08DS7dXHDMz6yVVgswjwLYF6dvkZczMzIBqQeZCYEdJR0sa0zdT0hhJPwJ2Ai7odAHNzGz4qtLw/0Pgw6QOAF+S9M88f1zO52/Af3S2eGZmNpyVrsnkh4xtCZwIPA+snqdZed5WEfFCNwppZmbDU6WbMSNiJnAwcLCksXneU90omJmZDX+VgkwtBxczM2ulSsO/mZlZJQ4yZmbWNQ4yZmbWNQ4yZmbWNaWDjKSr8kjMZmZmpVSpyWwJbNytgpiZWe+pEmSmApt3qyBmZtZ7qgSZLwC7SDpc0pLdKpCZmfWOKkHm34E5pDHMZkqa1WCa2Z1impnZcFTljv89a/4fmSczM7OmSgeZiHB3ZzMzq8SBw8zMuqZSkJE0StJhkq6RdK+kLfL8pSR9uTtFNDOz4ar05TJJKwDXAZOA2cAoYJWcPAE4RtKMiPhVx0tpZmbDUpWazPeAdUlPx9wYUF9CRNwPXAns39HSmZnZsFYlyHwYODMifg9Eg/QbgM2qvHm+52a+pG1q5o2UdLykpyTNlnShpPGdSjczs4FTJcisCExrscxSZTKStLikU4EjqakRZVOAd+dpIunenMtqbgBtN93MzAZIlftkpgOTC9J3AB4pmdcppLHQdgWu6pspaXXgX4GdIuKePO8gYAawh6Tr20kH3F5kZjaAqtRkLgA+IumLvHEjZkhaWtIxwDbA+SXzOgp4JwvXjLYDXiN1MEhvEPEC8Bdgxw6ktyRpgWnq4aVWMzPrefXHR6n+QtTCqgSZHwD3Az8Bbie1y5wOzAK+DNyRl2kpIqZFxKwGSasBT0TEvLr5M4DxHUg3M7MBVOWO/1mS3kkau2wfUm1mLPAEcBbw3Yh4qc3yNOpQUJvWbnrrAsSCi739mKuaLDlwWpXhlsN2GJA8zGzRVn98BFrWZqq0yRARzwP/JulzpADzWkQ8WyWPFh4DVpY0oq42Mo7U3tNuurWh3UBVJmA72Jn1lv4OK7M6sBYwQdLSHSzPNcCSwLZ9MySNJnUSuKoD6WZmNoAq1WQkfYx0U+ZaNbPnSroE+GpE/L2dwkTEdElnAD/N7/UccCypFnJ+RLzaTno7ZbOhwZf9zIaX0jUZSR8HfgmsDTwIXA3cDMwEPgLcJGn9knntIGku0BeUrpE0V9KmwGeBa4Hr8/uMAt4bEa/mZdtNNzOzAVKlJvN14CXggxFxTd9MSYsDnwF+RuoUsHurjCLiqhbv/cU8NVr3lXbSzcxs4FQJMhOBU2sDDEBEzAVOlLQt8J4Ols3MzIa5Kg3/jwGPF6TfDoxorzhmZtZLqgSZ/wJ2KUhfj9QOYmZmBhRcLpO0ed2sq4F9Jf0HcG5d2trATqRhXczMzIDiNpmpNL5L/rA81RNwE7BSB8plZmY9oCjIXEfJoVjMzMwaaRpkImK7ASyHmZn1oP4OK2NmZtZS1WFlVgI+AaxDupO+XkTEfp0omJmZDX+lg4ykycAVwBgWfmRynwAcZMzMDKhWkzmWFGBOBm4E5nSlRGZm1jOqBJnNgDMj4nPdKoyZmfWWKg3/L5FGNTYzMyulSk3m98Cekn4SES93q0Bm3eZn0pgNnCpB5qukQPN3SdeTajb13LvMzMxeVyXIjAJeBsYBezVZxr3LzMzsdVWCzC+BbUkPJ7sFeKUrJTIzs55RJchsCZwWEV/qVmHMzKy3VOld9g+KH1pmZma2gCo1mSOAH0r6cUQ0avQ3W2S4h5pZOVWCzHKkxyvfKumBJstEROzWfrHMzKwXVAkyp9X8v36TZfz8GbMSWtWEwLUh6w1Vgsz2XSuFmZn1pNJBJiKu7WZBzMys91R6noyZDR3ufGDDQZXnycwqsVhExJvaKI+ZmfWQKjWZ0S3SnwNuaKMsZmbWY0rfjBkRizWbgA+RBsw8sFMFk7SYpJckRc10V04bKel4SU9Jmi3pQknja9YtTDczs4FR5Y7/piLiEuBm4HudyC9bE5gfEaqZNsppU4B352ki6Smdl0lasmS6mZkNgI4EmexmoJM3Yk4C/l4/U9LqwL8Ch0TEPRHxOHAQKSjt0Sq9g+UzM7MWOhlkJgFjOpjfhkCjkQW2A14DruubEREvAH8BdiyRbmZmA6RK77LdmyQtBWwDfBy4qROFyiYB75E0E3iV1KngMGA14ImImFe3/AxgfIn0QpIWmve2o6+sXHgzs17T6PjYSpXeZefTfNgYAbOAz1YuQXOHAUcDD5EelHYS8D/AWQXrREEZaZFmZmYdViXInEXjg/RLpMta/x0Rz3SkVEBEPA08nV8+LOkbwG2kgLaypBF1tZVxwCPAYy3SW73vAq/LjDFlZrYoqD8+QuvaTZVhZfatXKLOWi7/vQb4NukpndcASBpNeqjaL4DrgSUL0s3MbIB0suG/YyQtIen7kraWtJSkjYAfA+dExPXAGcBPJW0o6c3AyaRayvkRMb0ofTA+j5nZoqppTUbSv/Qnw4goajMpawQwlxQsJgCPAr8GfpDTP0tqr7keWBq4DHhvRLxaMt3MzAZA0eWyMyhuKO+7EFe7zHyKG+ZLiYg5wJF5apT+CvDFPFVONzOzgVEUZD5VYv0RwNeAdUjB5ludKJSZmfWGpkEmIs4sWlHSSsA5pAAzE/hkHl7GzMwM6OfzZCRNBi4gtZfcDeweEY3uzjczs0VY5d5lkvYlNahPAM4DtnSAMTOzRkoHGUmLSzoJ+DmwBPDViNg7ImZ3rXRmZjaslbpclu81uYB0Q+OzwD4R4QG9zIY5P8LZuq1lkJG0Nemy2JtJw7rsHhH/6HbBzMxs+Cu8XCbpc8CVwCqk+2a2coAxM7Oyiu74Pw34dH75APAw8LUWg6FFRHTy6ZhmNsT5kpsVKbpctl/N/+uRBqVsJejsI5jNzGwYKwoy2w9YKcxskVXmcRquDQ1fRXf8XzuQBTEzs97Trzv+zcyGErcLDV0OMmZmOFB1i4OMmVkHuG2pMQcZM7MhohcD1ZB8/LKZmfUGBxkzM+saBxkzM+sat8mYmfWQTvSS62RPO9dkzMysaxxkzMysaxxkzMysaxxkzMysaxxkzMysaxxkzMysaxxkKph6+I5MPXzHQc1jKJRhqOQxFMrQiTyGQhmGSh5DoQxDJY+hUIZO5OEgY2ZmXdOzQUbS8pLOkjRT0vOSfiHpTYNdLjOzRUnPBhngfGBVYBPgrcAE4LxBLZGZ2SKmJ4eVkbQ1sAMwMSIeyfMOAB6UtFVE3DioBTQzW0QoIga7DB0n6ZvAv0TEunXzHwDOiojvNVin9zaEmdkAiQg1mt+rl8tWA/7ZYP4MYPwAl8XMbJHVk5fLgKJaScO0ZlHYzMz6r1drMo+RGv3rjctpZmY2AHo1yFwFTJS0Vt+M/P86Oc3MzAZATzb8A0i6EpgP7A8IOB2YHxHvGdSCmZktQnq1JgPwUVJD/x3A/wHTgT0HtURmZouYnq3JmJnZ4OvlmoyZmQ0yBxkzM+saB5l+UPL+DuSzZIllmt7LJGnldstgVk/SspI+Owjvu6KkFQb6fYtIWkfS0S2WaXmPnaSVOleq4cVBpgJJ4yQdATwMXNBmXpsCL7dYZjfgdwWL/FXS+wrWX17SFnXzTq2bJlQq+DAnabSkpWteby7p85I2HqSyTM5lGD3Q79+gPG+XdDqpw8xCQy/VLbtp0cFX0g2SJpV4z6Uk/VDSDOBJ4ClJ/5T0fUlLlVj/rFbLVCVpcUl7SroCuB/4cItV/lQUHCWtDlzXyTJ2g6SFyihpTNv5uuG/NUm7AAcBHwD+DvwGODsi/t5GnpsCt0XEiIJlrgHOjYiTmqTvC/y/Zt2yJf0QmBQRu9XMmw9cm19OBM6LiC8XlOG/WnwUACLi00Xpks6KiH8pk1eT9R8qWY61m6w/HvgVsA3wGvBj0vc4FZgFjAZ2jYgrSpZnNDAvIl7OrzcHtgKujYg7W6y7EnACsDtvjLoxlzRy+Bcj4ukW65f5TiIi9mu1UP4cnwAOBDYF/gScA/w2ImYVrHcu8EhEHNYk/QfAhIj4REEeI4GrSaOkn0XqBUouxyfz6x0i4tWCPObV/4YkPRsRlWtEktYmbYdPASsBp5K2xXVRcKCUNBUYC+wREbfUpa0DXAFMjYg9CvJo+zttN48m23KheVU5yDQhaRVgP9J9NmNJO9un293gNfmXCTLPA+tFxJNN0scADzf7QUm6A/hSRFxZM29+RCyW/98ZOC4iNioowy8KPsaHgOWBv0TE1gXLtX0wkHQb6WD0EHAc8GKj5SLizCbr/wZYA/gh6cB+JDAPODUipkg6FPhgRGzfohxtBav8TKNb8nLHs+CB9Qv5c72jxQH+YRYeHmkC8I+a19Es4OY8JpNOnD4GPAOcBny37P4t6Qlgq4h4sEn6eODmiGg6VqCkr5KCyXsj4rG6tFWBS4FfRsQxBXm8vj8XzStYfwSppvIZ0sjtNwKnAGdW2BajgJNJt0h8KSJOzvM3AS4D/gzsHRHzCvJ4mPa/07byaPIbLb0tm4oIT3UT6VLYK8CdpB/+m/L8eR18j01b5Qe8BIwsSF8SmFOQ/gIwqm7e0TX/jwRm9aPsSwFnk252PaOojDXrzC8zr2B9AZ8GHiUNfvrpimV+khSw+16/lRRkls2v3wQ8UyKf3wA3AbuR7sW6A/hf4N9y+qHA1QXrfx+4vv57yWmjgGuAo/rxnVTZllOBV4GLgQ8Ci+X5pffv/PtYoiB9BPBKizz+D9ixIH0H4PYWeSxU5oqfYwbwFKlmuXF/8qhZZ39gNnAm8Hbguby/jKiaV9XvtEP7RVvbsmm+7WbQi1M+eN4L7A0s3p8NTrrsUDTdWCLI3A7sVJC+C3BfQfrsogCQD2ovVtw2q+eD1CvA5yus15EdGFgaOAKYmQ9S25dcb27d6xH171+mPLQZrPJ+tUVB+juAe/uxXarsm3OAB4GvAiv1M49pwEYF6RsB/2yRx2xgyYL0JYGXurlfkU5YngamAJu0s2/m9TYB7svb+GxyAO9nXu0f4Ktti64EGTf8N7YRqZo7BXg0N0KuUTGPx1pM95GuQxf5FfCzfOlhAXkstpOBcwvWfxDYtiB9e+BvLcpQ+57bkQLM6sB7IuLEsut2SkS8HBFHAeuSAvVlkn4nac0Wqy7QAygKLl20sEJE3F/z+s6c3wv570xguYL11yRtw2Zuy8t006rAicC+pP37bEnvqpjHxcAPGvWsypegTiT9hoosFQXtLTltZIs8JOmh2qnBvIaX9LLVgQOAtYD/lXSjpH63HUbEHcDWpAC5X0TM729eg0CS5tVODebNrZxpjlbWQO7dsg+pMfAdpAPVx4HfR8RLA/D+I0mXTzYhVcFvz0mTSY219wLbNCuLpG8B/48G1/glrUi67HNSRBxXoiwHA8eSLg99JCKmV/ws80m98mqtWTcvImJihTxHkC4/HQ78R0T8e4v3r28n2alu3o7R4jp8mcbRosbSMg2p/Wls7W8DbT5xOBD4COnA+A3gNxExrcV640iXCWeQ2rlq981/B94MTI78ZNr+lrnVMi3aDF8XEZ9qteVzMl8AABD6SURBVExu+D+AFHxXIbVT/ZrUmaOo4f9PDWbX71tExXETO9LoXiEPSUeWWS4ivlOpDA4y5Sh1cT2IFGSWIPXKarnjNsjnV8ABETG75PJLA9/ijR0f0jXkM4HvFOUjaRngr6SOCz8mXV5ajHQgOITUiL5NRLxWkMdIUi+bTwC/BA6MiFfKlL0un44dDHJ+HwZ+BCxLasT/edFZY6fev91gNdSCTM36K5J6VR1AGq38umjdCWID4L+ALXmjwVmkmtp+0bqXXaMTj3prtHugrUrp3rQPk4LvjsC0iFinYPmO7ts1+Q5okOkWB5mK8kH/Y6SD7ZYFyzW7/HAhqdfacwARUbr/fO76SrTo4lq3zvKkRs29eKO77KukgPGlvss8BevfRKrFPUO6RNJQtOjC3Cm5q/BxwNuAnwA/ioiGPc269P5tHVDygbXlj67F2fu0BnmsSRu1wrr8dyDt3/uUXH4S0HdPzD0RcU/J9bp1cF4M2ACYXVSTKpnXRNJJ4dfayafE+7T9nXZjv5C0FanX3CzgtIh4tOy6r+fhINOcpDF9l5mU7s7fiXSgvrJVTSQfTJ7PU+1169VJjY3zaNElsUm+tV/66WUvW0laFlg/v/xbhZpUJy9HLA7sQTo7HE/6QTwGXAlcEBFNr/dKWg34ASnA/wr4ekQ0esR20fsLWI908FnoxyLp0xFR6r6g/urEJQlJZ1AuUFU9OFeqZed1+v0b6QRJd0TEJjWvJwJ/IH3PQbrctX9EzKmQZ9sH1pxP6e3Zie+03TwkjYuIGTWv9yZ1Xvg76QrISsC7W9VQF8rXQWZhuVH9EtLZ0NWkS1VXkhqbIZ0Z7BxN7hHIeXyMdB/EYRFxRs38GcCm0eTel7o8ynzp74qIuwryGPQDa36fVUkNwWsCfyFdy4f0tNItSdv0vbWft279WcAypEt+tzdaBprXqCStR6qJrUv6IV5HuqTzUM0ypS4ttBMsh4JO1LJL/EYeIf1GKt2wXLUWorr7OCRdSOos8A3SPVzHApdERMPg3qHfWMevWgwGSY+R7ue5Ib++G/h17miD0g22kyPivZUyjja7p/XiRLpP5rfA+/Pfv5NuxhwLrEg6k76oRD4bAw+Q2jSWyPNmACuXLMdjpDaTvtd3A0fUvP4BcFnB+uuRerHNJ9WcrgbWrlumv101fwUsU2H580k/3tEN0kaTLt+dV7D+GcAvWk0F619MasfamNT1+wZS19XJNcu0vKeA1DPrTtI9SH/KeZ6Z/59F6hgxruK23Ip0CfA7wGpt7LelvpO8PzxLapObVjPNJd24Nw14qNu/EeCOutcTSZ1Z+vbXX5J6oBXlUd8N/QnSSAN9rzcCHihYv63fWKe2Z85HpKsNDfcBKt4bltdZjHQpc40Sy55KujXhkPx6Nrlrfn69PCn4VytDf3foXp5IDetj8/9j8040tiZ9ZeCpknktRzrju5XUTbJKkGnrS6cDB1bgXU2mp0k3JL6LdKbX6rO8UPS5Sb2RXujid/oc+aba/Hox0p3dzwFb5nll7pNpN1iOq3u9dz4Y3UsaJ+tZam4K7MZ3Qrrk+BSwb938Kvtm27+R+n2PdOb/B9K9R9vn38x3WuRRH2Seo+YmUVKt5uWC9ds+sHZoe7Z9QkhngvZBpDEVf0O6YlAbsN8MPFrm8yyQZ9UVFoUp/1hXyv+vlL+g2pvWxgJPV8zzWznf2WV3vHa/dDpwYKVzZ2lPAusXpG/Q6qDUZL2yZ++PARMbzD+BVAN5V9HBqGb5toIlQ+TMmfZr2W3/Rur3PSrWQvIyL+Xv77b8G3mudj8j1RLvb5FH2wfWDmzPTpwQth2083qbk+6xm5/LtTKpZ+u5pGGYqv1Gq66wKEz5y7kQeB/pssCDpLOA5UhnNmdS4nJZzmtL0vXhk/JBYS4Fd3x38kunAwdWOnCWlpc/nnRfxbvIbYF5vvK820jjqDVbv92z95+R7gt6W5PtMZsSlwJoM1gyRM6c8/Lt1LLb/o3QZi2kZv9ZmzR47VeAn5NumO1LPwr4donP0/aBtc3t2YkTwraDds2yy5JuRn+FdAIxL3+25cruX6/nVXWFRWEiVTP/lne4a0iDzD1Qs7EfBtZpkccYUkP3fNJlkGvzdH+ed2ntwaUbXzqdO7C2dZaWl1+SdE/FXNLZZ9/Z92zSQJOnUzwWVltn76Tx1k4H/rdJ+gmtfsR5ubaCZV520M+c6/KqXMvu0G+k7VpIzbK1J3P/SbohdAvS8EEtx9br72+sg9uzEyeEbQftBtvypLwtt6y6X/VN7l1WQNI7ST2IViV9QdNIO94J0eLeDKVhtyeQujBOq0tbi3RweCQi9i9Rji15oycTpEEir4qIm1qstxRpeI/JEbFZg/QTgM9GuR5Vy5HOVMeRelbdSMlecnX5rEaqutf2yromIh6VtHE06R7Zid56efltST/YBXqFRcRfJW0XEde0WH9J0nA+/0K63+iJnLQyKZCeSRoss+kNrjmfzYHzSGe8fyD1QhLpoPJ8RBxY4rO09Z3U7Ve7kPbXrSPir2XWz3m08xsR6fNvWDMdFhHP5vSjSGPOfbsgjzGk7bgzqfNBba/FdUgnentF6/vB+vUbK8ij0vaU9DNSUPx8REytSzuBNDgsEbFMQR4vkU66/k4K+O8hBYf7cvpWwBkRsV6T9Yu25URS55aW23Ih/Y1OvTyRaiF/JP1Y+lULIZ11TyhIXxN4tkQ5mtWG5pUpR85nWxqc5eW07Spum361LZXM+9UW6f0+e+/Ed1qX32qkYeq/Rhpo8hPkXkG0aLivyWNQzpxb7Fdl9++ObU/aqIWQasdXAGs1SFsLuJx0P1nXfmMd2p5t17Rp89Jhu9uy2eSaTAOdqIUoPQtmo2hyI5fSEynviIimgym2W458ZnIu6czkQfp5lpfzauusN59FtXJNRBQ+krq/Z++drFm2IunVEp9j0M6cO7R/dyKPtmshkp4F3hoR/2iSvibpuU3Nnrk0JLZFzfJt1bRzHrX7xet5kIb7WTyaDAvV7rZsqmpUWhQmOlMLOYtUvVyjQdoapB/QGd0sBx04M6FDbUu8caY+v2CqMix51bP3tr/TvNxWJaamNbIW23NAzpw7tH93Io9O7J/PU3BvEeng//ww2BaduHrS7n7R1rZsul7VFRaFqRMbm9TT5Mq809xH6vd+df5/bv4BjelmOYbKgSAvezjpqY/vJgXZ+mlNWlwuy/n0q7dep35AtBksO7E9282jQ/t3J/IY9JO5IbQthsJ+0faJccN8q66wKEyd3NikZ0scQWosnpL/32ogyjFUDgQ1y55Kult+oRsZc/prBeu2e5bWke+UNoNlhw6s7dZwO1HL7kQeg34yN4S2xVDYL9o+MW6Yb9UVFoWpWxt7oMsxVA4ENcuOIDVuLlSenN70KZe0f5bWse+U9oLloJ85d2JbdCiPQT+ZG0LbYtD3i3a3ZbPJDf8FJG1N6m67Gm80oF0VETcOh3LkRvILgO1IDat9oxavSuqSeDXw0ah7oFldHmeR7t04IOoGLFR6WuipwIyI2LfyB6ugU42SnfhOlR6WdgrwvfptktO3j4irm6zb9vbs1HfSoW3R7zw6sX92yhDYFkNmv+g0B5lFQC8cCDrRW28o6FDgHxLfSacMlZO5wdTL+4WDjJUy2AeCoXqW1l+DfeZsQ1Mv7hcOMjYsDNWzNDMr5iBjw8pQO0szs2IOMmZm1jWLtV7EzMysfxxkzMysaxxkrOdIequkxyVd0M/115QUku4aSuUa7iTtm7friYNdFhs4DjLWiz5Aeqrh7pLeNNBvLmkXSfPzDaJDplxmg2HxwS6AWRecTRo+/i8RMXMQ3n9z0rM96g12ucwGnIOM9ZyIeJh0P81g2bDRzCFQLrMB58tlNmxImiJpnqR9GqQtIekhSU9JWr9Rm4qkkZK+LukOSS9LmiXp+kb5NXn/XSRdkt/jFUl/k7R3TfoHJU0H/l+eNS2XI3J6w7aesuWqWf/7kjaS9DtJz0t6UdJ5klYptyUX+lzrSfplbi96VdLDko6TtELNMotJ+oykWyTNztNUSZ+VtNBxRNJOkq7Lyz0n6eekgSQbvf84SSdJmp7ff5qkH0pauj+fx4YW12RsOJkCfAY4GDinLm030mjMR5MeZ7wASUuSRvx9F/BX4FhgFPBR4NeSNo2Irzd7Y0kHkgbFvIU0Ou2rwF7AOZKIiN8At+d8v0YaAud7pOHXm+pnuT4GfA64CPgRqXa0B7CepM0iYn7Re9a9/ztIo1svQ7qcdzdpBIX9SaNmH5wXPRvYB7iH9CjgAD5IelzytrlMfXnuSfp+5gD/DTxMepjbMQ3efy3S001XAn4N3AtsQnqk9ZaSdoqIeWU/jw1B/R2+2ZOnwZiAG0gHuI3q5l9Oeq7M2qTnZgRwV036oXneucCImvnLk4apCWDzPK/R+ks1eM8VScHm1rr5d+X116yb36lyzeybV7P8jTltxwrbUjVl3acubXlgqfz/7nmZP/fNq9kmf85pu+d5o0hPLJ3boIzfy8ueWDPv0tr1a+YfkufvPdj7nKf2Jl8us+FmSv57QN8MSRNJzzS/LCIearLeJ/Lf70XNmXFEPAccn19+vNmbRsSciHj9Mle+lLME8BSwQdUP0Wa5pkfEbXXzrst/16/w3psAbyGNXr1AzTAinouIOXVl/I+aeeT/f1RXxp1JwfeSBmV8sPaFpJWA95KGBrotXw5cM/fKuzYv9oEKn8eGIAcZG27OIx3YPylpqTzvQNJZ+ZSma6VAMJ90Oabe3TXLNCVpM0mnS3oYmA3MIA3QOap06btQrqzv4F+lLH0B6c4Wy/W9/z0N0urLuH7d/CLrkL638cC0uqkvQL25RD42hLlNxoaViHg1NyJ/DdhT0m+ATwH/AP7QrffNbTJTgCdIbSF3As8AJwJju/W+w9CI/PfFEsu+lv/eA3yjyTLT2i6RDSoHGRuOTgEOJzVOzyEd5I+I4gbie4HNSGfc9Wfuk/Lf+xqtmGtMx5HaSDaLiJdq0o7uzwfoRLk64P78d+MWy91L6pY9ibpLXixcxsfy34kl338usALwu4jwaL09yJfLbNiJdL/JpcA2wH6kM+Kft1jt7Pz3G7VdbvNzag6uW6beUqTLUA/WBZh30LgW09e7rcylq3bK1a7bgb8Bm0jaqzYht42sUff+h0saWbPMSFKwr13matLlvz0lrVy37O617xERLwC/JV0S+3x94SRtrPSoaxvGXJOx4WoKqVH4vcC5EfF4i+VPAD4E7A2sIely3ugqvCapUfvWRitGxPOS/hfYRdKppLP5TYAdSN1zJ9Wtcjvprv/TJd2c/9+x0+VqV0REvgx4Oam79G680YX5Y6TLj3tGxAWSziF1Yb5V0sW80YV5I+DXEXFBznO6pFOAfwNulnQ2qbayN/Bcg2IcAmwJHC9pF+AmYCSwE7AFqZv4ed34/DZABrt7mydP/ZlItfCHSAe77erS1qSuq3CeP5LUlnMn8DLwAnA9dd1kG60PrEs6GL9Iaos5G1gD+HL6GS2w/qrAH/Oy04AfAkt3o1w1ad/OaV/px7bcDLiY1DV6DqmN5AhgVM0yAg4i3Sf0Up6mkoLJYnX5LQ58n3TpbA4p6H46b5c51HRhzsuvTGrbeoTUJfxZUk1118Hezzy1P/mhZWZm1jW+XGbWg/I9KKMLFnk8au55MesW12TMepCkM4B/LVhk+4i4ZmBKY4syBxmzHiRpc2BCwSI3RMTTA1UeW3Q5yJiZWdf4PhkzM+saBxkzM+saBxkzM+saBxkzM+saBxkzM+ua/w9Y8160PIy3rAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_data_closed = df[df['action'].str.contains(\"Establishment Closed|Establishment re-closed\")]\n",
    "print ('Total Number of times Restaurants closed by the Health Inspectors are',my_data_closed['action'].count())\n",
    "\n",
    "my_data_cr = my_data_closed.groupby(['violation_code'],as_index=False)['camis'].count()\n",
    "my_data_cr.rename(columns={'camis': 'Count'}, inplace=True)\n",
    "my_data_cr.sort_values(by='Count', ascending=False, inplace=True)\n",
    "my_data_cr.reset_index(drop=True,inplace=True)\n",
    "my_data_cr.head(20).plot.bar(x='violation_code', y='Count')\n",
    "plt.ylabel('Number of Closings')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Look at the spatial data!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_single_visits['latitude'].replace(0, np.nan, inplace=True)\n",
    "df_single_visits['longitude'].replace(0, np.nan, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Latitude')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1)\n",
    "\n",
    "x = df_single_visits.longitude\n",
    "y = df_single_visits.latitude\n",
    "\n",
    "s = 2\n",
    "\n",
    "img, extent, xedges, yedges = mk_heatmap(x, y, s, bins=1000)\n",
    "ax.imshow(img, extent=extent, origin='lower', cmap=cm.PuRd)\n",
    "ax.set_title(\"Inspecs  $\\sigma$ = %d\" % s)\n",
    "ax.set_xlabel('Longitude')\n",
    "ax.set_ylabel('Latitude')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Other data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "threeoneone = pd.read_csv('./data/311.csv')\n",
    "nypd = pd.read_csv('./data/nypd.csv')\n",
    "\n",
    "# Replace the missing lats and lons with nan\n",
    "threeoneone['latitude'].replace(0, np.nan, inplace=True)\n",
    "threeoneone['longitude'].replace(0, np.nan, inplace=True)\n",
    "nypd['latitude'].replace(0, np.nan, inplace=True)\n",
    "nypd['longitude'].replace(0, np.nan, inplace=True)\n",
    "\n",
    "# Do date things\n",
    "threeoneone.created_date = pd.to_datetime(threeoneone.created_date)\n",
    "nypd.complaint_date = pd.to_datetime(nypd.complaint_date)\n",
    "\n",
    "\n",
    "# make a column to store which day of the week it is... \n",
    "# Remember that Monday is 0 Sunday = 6\n",
    "threeoneone['weekday'] = threeoneone.created_date.dt.weekday\n",
    "nypd['weekday'] = nypd.complaint_date.dt.weekday"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 311"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Latitude')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1)\n",
    "\n",
    "x = threeoneone.longitude\n",
    "y = threeoneone.latitude\n",
    "\n",
    "s = 2\n",
    "\n",
    "img, extent, xedges, yedges = mk_heatmap(x, y, s, bins=1000)\n",
    "ax.imshow(img, extent=extent, origin='lower', cmap=cm.PuRd)\n",
    "ax.set_title(\"311  $\\sigma$ = %d\" % s)\n",
    "ax.set_xlabel('Longitude')\n",
    "ax.set_ylabel('Latitude')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000000 entries, 0 to 999999\n",
      "Data columns (total 13 columns):\n",
      "created_date      1000000 non-null datetime64[ns]\n",
      "agency            1000000 non-null object\n",
      "complaint_type    1000000 non-null object\n",
      "descriptor        997937 non-null object\n",
      "location_type     571563 non-null object\n",
      "incident_zip      962093 non-null float64\n",
      "address_type      985165 non-null object\n",
      "city              961809 non-null object\n",
      "facility_type     179266 non-null object\n",
      "borough           1000000 non-null object\n",
      "latitude          955827 non-null float64\n",
      "longitude         955827 non-null float64\n",
      "weekday           1000000 non-null int64\n",
      "dtypes: datetime64[ns](1), float64(3), int64(1), object(8)\n",
      "memory usage: 99.2+ MB\n"
     ]
    }
   ],
   "source": [
    "threeoneone.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Sanitation Condition', 'Missed Collection (All Materials)',\n",
       "       'Derelict Vehicles', 'Dirty Conditions', 'Recycling Enforcement',\n",
       "       'Vacant Lot', 'Other Enforcement', 'Derelict Bicycle', 'Snow',\n",
       "       'Graffiti', 'Sweeping/Inadequate', 'Missed Collection',\n",
       "       'Employee Behavior', 'Snow Removal', 'Electronics Waste',\n",
       "       'Litter Basket / Request', 'Sweeping/Missed',\n",
       "       'Overflowing Litter Baskets', 'Request Xmas Tree Collection',\n",
       "       'Request Large Bulky Item Collection',\n",
       "       'Electronics Waste Appointment', 'Sweeping/Missed-Inadequate',\n",
       "       'Adopt-A-Basket', 'Foam Ban Enforcement', 'Collection Truck Noise',\n",
       "       'Overflowing Recycling Baskets'], dtype=object)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "threeoneone[threeoneone.agency == 'DSNY'].complaint_type.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Water System', 'Noise', 'Sewer', 'Air Quality',\n",
       "       'Hazardous Materials', 'Water Quality', 'Industrial Waste',\n",
       "       'Water Conservation', 'Lead', 'Asbestos', 'FATF', 'Plant', 'SRDE',\n",
       "       'ATF', 'FCST'], dtype=object)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "threeoneone[threeoneone.agency == 'DEP'].complaint_type.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Rodent', 'Unsanitary Animal Pvt Property', 'Food Establishment',\n",
       "       'Food Poisoning', 'Asbestos', 'Smoking', 'Indoor Sewage',\n",
       "       'Animal Facility - No Permit', 'Pet Shop',\n",
       "       'Illegal Animal Kept as Pet', 'Mobile Food Vendor',\n",
       "       'Indoor Air Quality', 'Harboring Bees/Wasps', 'Unleashed Dog',\n",
       "       'Non-Residential Heat', 'Poison Ivy', 'Beach/Pool/Sauna Complaint',\n",
       "       'Day Care', 'Standing Water', 'Mosquitoes', 'Window Guard', 'Mold',\n",
       "       'Unsanitary Pigeon Condition', 'Illegal Animal Sold', 'Tattooing',\n",
       "       'Trans Fat', 'Unlicensed Dog', 'Unsanitary Animal Facility',\n",
       "       'Calorie Labeling', 'Cooling Tower', 'Drinking Water',\n",
       "       'X-Ray Machine/Equipment', 'Radioactive Material', 'Lifeguard',\n",
       "       'Bottled Water', 'Tanning', 'Construction Lead Dust',\n",
       "       'Peeling Paint', 'Forms', 'Asbestos/Garbage Nuisance',\n",
       "       'Trapping Pigeon', 'LEAD', 'MOLD'], dtype=object)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "threeoneone[threeoneone.agency == 'DOHMH'].complaint_type.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "from utils.strings import DSNY_311, DEP_311, DOHMH_311"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Mobile Food Vendor',\n",
       " 'Food Establishment',\n",
       " 'Smoking',\n",
       " 'Trans Fat',\n",
       " 'Calorie Labeling',\n",
       " 'Indoor Air Quality',\n",
       " 'Rodent',\n",
       " 'Standing Water',\n",
       " 'Indoor Sewage',\n",
       " 'Drinking Water',\n",
       " 'Bottled Water',\n",
       " 'Non-Residential Heat',\n",
       " 'Food Poisoning',\n",
       " 'Unsanitary Pigeon Condition',\n",
       " 'Mold',\n",
       " 'Radioactive Material',\n",
       " 'Cooling Tower',\n",
       " 'Asbestos/Garbage Nuisance']"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DOHMH_311"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "dsny_mask = threeoneone.complaint_type.isin(DOHMH_311)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Latitude')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1)\n",
    "\n",
    "x = threeoneone.longitude[dsny_mask]\n",
    "y = threeoneone.latitude[dsny_mask]\n",
    "\n",
    "s = 2\n",
    "\n",
    "img, extent, xedges, yedges = mk_heatmap(x, y, s, bins=1000)\n",
    "ax.imshow(img, extent=extent, origin='lower', cmap=cm.PuRd)\n",
    "ax.set_title(\"311  $\\sigma$ = %d\" % s)\n",
    "ax.set_xlabel('Longitude')\n",
    "ax.set_ylabel('Latitude')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/boada/.local/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3058: DtypeWarning: Columns (19,20) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "bus = pd.read_csv('./data/full/Legally_Operating_Businesses.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 201167 entries, 0 to 201166\n",
      "Data columns (total 27 columns):\n",
      "DCA License Number               201167 non-null object\n",
      "License Type                     201167 non-null object\n",
      "License Expiration Date          201134 non-null object\n",
      "License Status                   201167 non-null object\n",
      "License Creation Date            201167 non-null object\n",
      "Industry                         201167 non-null object\n",
      "Business Name                    201117 non-null object\n",
      "Business Name 2                  32785 non-null object\n",
      "Address Building                 127966 non-null object\n",
      "Address Street Name              128714 non-null object\n",
      "Secondary Address Street Name    1985 non-null object\n",
      "Address City                     200459 non-null object\n",
      "Address State                    200337 non-null object\n",
      "Address ZIP                      200435 non-null object\n",
      "Contact Phone Number             191462 non-null object\n",
      "Address Borough                  127776 non-null object\n",
      "Borough Code                     116778 non-null float64\n",
      "Community Board                  113728 non-null float64\n",
      "Council District                 114053 non-null float64\n",
      "BIN                              112268 non-null object\n",
      "BBL                              112270 non-null object\n",
      "NTA                              112896 non-null object\n",
      "Census Tract                     112896 non-null float64\n",
      "Detail                           28356 non-null object\n",
      "Longitude                        120573 non-null float64\n",
      "Latitude                         120573 non-null float64\n",
      "Location                         120573 non-null object\n",
      "dtypes: float64(6), object(21)\n",
      "memory usage: 41.4+ MB\n"
     ]
    }
   ],
   "source": [
    "bus.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Amusement Arcade', 'Amusement Device Permanent',\n",
       "       'Amusement Device Portable', 'Amusement Device Temporary',\n",
       "       'Auction House Premises', 'Auctioneer', 'Bingo Game Operator',\n",
       "       'Booting Company', 'Cabaret', 'Car Wash', 'Catering Establishment',\n",
       "       'Commercial Lessor', 'Dealer In Products',\n",
       "       'Debt Collection Agency', 'Electronic & Appliance Service',\n",
       "       'Electronic Cigarette Dealer', 'Electronics Store',\n",
       "       'Employment Agency', 'Games of Chance', 'Gaming Cafe', 'Garage',\n",
       "       'Garage and Parking Lot', 'General Vendor',\n",
       "       'General Vendor Distributor', 'Home Improvement Contractor',\n",
       "       'Home Improvement Salesperson', 'Horse Drawn Cab Owner',\n",
       "       'Horse Drawn Driver', 'Laundries', 'Laundry', 'Laundry Jobber',\n",
       "       'Locksmith', 'Locksmith Apprentice',\n",
       "       'Motion Picture Projectionist', 'Newsstand', 'Parking Lot',\n",
       "       'Pawnbroker', 'Pedicab Business', 'Pedicab Driver',\n",
       "       'Pool or Billiard Room', 'Process Server Individual',\n",
       "       'Process Serving Agency', 'Scale Dealer Repairer',\n",
       "       'Scrap Metal Processor', 'Secondhand Dealer - Auto',\n",
       "       'Secondhand Dealer - Firearms', 'Secondhand Dealer - General',\n",
       "       'Sidewalk Cafe', 'Sightseeing Bus', 'Sightseeing Guide',\n",
       "       'Special Sale', 'Stoop Line Stand', 'Storage Warehouse',\n",
       "       'Ticket Seller', 'Ticket Seller Business', 'Tobacco Retail Dealer',\n",
       "       'Tow Truck Company', 'Tow Truck Driver', 'Tow Truck Exemption'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sort(bus.Industry.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "bus2 = bus.dropna(subset=['BBL'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>DCA License Number</th>\n",
       "      <th>License Type</th>\n",
       "      <th>License Expiration Date</th>\n",
       "      <th>License Status</th>\n",
       "      <th>License Creation Date</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Business Name</th>\n",
       "      <th>Business Name 2</th>\n",
       "      <th>Address Building</th>\n",
       "      <th>Address Street Name</th>\n",
       "      <th>...</th>\n",
       "      <th>Community Board</th>\n",
       "      <th>Council District</th>\n",
       "      <th>BIN</th>\n",
       "      <th>BBL</th>\n",
       "      <th>NTA</th>\n",
       "      <th>Census Tract</th>\n",
       "      <th>Detail</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>2062603-DCA</td>\n",
       "      <td>Business</td>\n",
       "      <td>12/31/2021</td>\n",
       "      <td>Active</td>\n",
       "      <td>12/06/2017</td>\n",
       "      <td>Laundries</td>\n",
       "      <td>XING BIN LAUNDROMAT INC.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10118</td>\n",
       "      <td>LIBERTY AVE</td>\n",
       "      <td>...</td>\n",
       "      <td>410.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>4201974</td>\n",
       "      <td>4095220009</td>\n",
       "      <td>QN55</td>\n",
       "      <td>94.0</td>\n",
       "      <td>Laundry Type: Retail Laundry</td>\n",
       "      <td>-73.839280</td>\n",
       "      <td>40.681305</td>\n",
       "      <td>(40.68130477447896, -73.83928016812561)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>2034972-DCA</td>\n",
       "      <td>Business</td>\n",
       "      <td>03/31/2020</td>\n",
       "      <td>Active</td>\n",
       "      <td>03/25/2016</td>\n",
       "      <td>Stoop Line Stand</td>\n",
       "      <td>Rosalie Tuzzino</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140</td>\n",
       "      <td>MULBERRY ST</td>\n",
       "      <td>...</td>\n",
       "      <td>102.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1077173</td>\n",
       "      <td>1002370006</td>\n",
       "      <td>MN24</td>\n",
       "      <td>41.0</td>\n",
       "      <td>Product Category: Ice Cream, 4 foot stands: 1,...</td>\n",
       "      <td>-73.997619</td>\n",
       "      <td>40.718663</td>\n",
       "      <td>(40.718663472948315, -73.99761907513695)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>2073413-1-DCA</td>\n",
       "      <td>Business</td>\n",
       "      <td>11/30/2019</td>\n",
       "      <td>Inactive</td>\n",
       "      <td>06/14/2018</td>\n",
       "      <td>Electronic Cigarette Dealer</td>\n",
       "      <td>ANSHROOP CORPORATION</td>\n",
       "      <td>7 ELEVEN STORE #35764A</td>\n",
       "      <td>6031</td>\n",
       "      <td>METROPOLITAN AVE</td>\n",
       "      <td>...</td>\n",
       "      <td>405.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>4061108</td>\n",
       "      <td>4027370037</td>\n",
       "      <td>QN21</td>\n",
       "      <td>603.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-73.904270</td>\n",
       "      <td>40.712849</td>\n",
       "      <td>(40.7128487179766, -73.90426990115682)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>2054177-DCA</td>\n",
       "      <td>Business</td>\n",
       "      <td>12/31/2020</td>\n",
       "      <td>Inactive</td>\n",
       "      <td>06/08/2017</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>CSR PENN INC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>937</td>\n",
       "      <td>PENNSYLVANIA AVE</td>\n",
       "      <td>...</td>\n",
       "      <td>305.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>3327452</td>\n",
       "      <td>3043910001</td>\n",
       "      <td>BK82</td>\n",
       "      <td>1104.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-73.888084</td>\n",
       "      <td>40.655199</td>\n",
       "      <td>(40.65519935647488, -73.88808402244312)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>2013293-DCA</td>\n",
       "      <td>Business</td>\n",
       "      <td>06/30/2020</td>\n",
       "      <td>Active</td>\n",
       "      <td>09/12/2014</td>\n",
       "      <td>Electronic &amp; Appliance Service</td>\n",
       "      <td>NEPTUNE AIR CONDITIONING INC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>575</td>\n",
       "      <td>LEXINGTON AVE</td>\n",
       "      <td>...</td>\n",
       "      <td>106.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1036461</td>\n",
       "      <td>1013060023</td>\n",
       "      <td>MN19</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-73.971827</td>\n",
       "      <td>40.757216</td>\n",
       "      <td>(40.757215588426654, -73.97182746323014)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201162</th>\n",
       "      <td>2026189-2-DCA</td>\n",
       "      <td>Business</td>\n",
       "      <td>12/31/2020</td>\n",
       "      <td>Active</td>\n",
       "      <td>07/27/2015</td>\n",
       "      <td>Tobacco Retail Dealer</td>\n",
       "      <td>SHREEJI 315 INC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>315</td>\n",
       "      <td>1ST AVE</td>\n",
       "      <td>...</td>\n",
       "      <td>106.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.02049e+06</td>\n",
       "      <td>1.00924e+09</td>\n",
       "      <td>MN21</td>\n",
       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-73.980569</td>\n",
       "      <td>40.733903</td>\n",
       "      <td>(40.73390349266078, -73.98056937440188)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201163</th>\n",
       "      <td>1003888-DCA</td>\n",
       "      <td>Business</td>\n",
       "      <td>07/31/2021</td>\n",
       "      <td>Active</td>\n",
       "      <td>02/25/1999</td>\n",
       "      <td>Secondhand Dealer - General</td>\n",
       "      <td>SOSA, ROCK H</td>\n",
       "      <td>NEW SOSA ELECTRONICS</td>\n",
       "      <td>261</td>\n",
       "      <td>WYCKOFF AVE</td>\n",
       "      <td>...</td>\n",
       "      <td>304.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>3.07577e+06</td>\n",
       "      <td>3.03311e+09</td>\n",
       "      <td>BK77</td>\n",
       "      <td>441.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-73.914197</td>\n",
       "      <td>40.701265</td>\n",
       "      <td>(40.701265402071414, -73.91419725787644)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201164</th>\n",
       "      <td>1252203-DCA</td>\n",
       "      <td>Business</td>\n",
       "      <td>09/15/2013</td>\n",
       "      <td>Inactive</td>\n",
       "      <td>04/14/2007</td>\n",
       "      <td>Sidewalk Cafe</td>\n",
       "      <td>SALSA SALON, INC.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47</td>\n",
       "      <td>E 12TH ST</td>\n",
       "      <td>...</td>\n",
       "      <td>102.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.08468e+06</td>\n",
       "      <td>1.00564e+09</td>\n",
       "      <td>MN23</td>\n",
       "      <td>61.0</td>\n",
       "      <td>Sidewalk Cafe Type: Unenclosed, Square Feet: 7...</td>\n",
       "      <td>-73.991683</td>\n",
       "      <td>40.733463</td>\n",
       "      <td>(40.73346292620985, -73.99168295346709)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201165</th>\n",
       "      <td>2082881-2-DCA</td>\n",
       "      <td>Business</td>\n",
       "      <td>11/30/2020</td>\n",
       "      <td>Active</td>\n",
       "      <td>03/05/2019</td>\n",
       "      <td>Electronic Cigarette Dealer</td>\n",
       "      <td>M &amp; E CANDY STORE CORP</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148</td>\n",
       "      <td>MONTAGUE ST</td>\n",
       "      <td>...</td>\n",
       "      <td>302.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>3.00208e+06</td>\n",
       "      <td>3.00249e+09</td>\n",
       "      <td>BK09</td>\n",
       "      <td>502.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-73.993329</td>\n",
       "      <td>40.694518</td>\n",
       "      <td>(40.69451761556611, -73.9933286123902)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201166</th>\n",
       "      <td>1054840-DCA</td>\n",
       "      <td>Business</td>\n",
       "      <td>12/31/2020</td>\n",
       "      <td>Active</td>\n",
       "      <td>12/05/2000</td>\n",
       "      <td>Tobacco Retail Dealer</td>\n",
       "      <td>K P DELI CORP.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>255</td>\n",
       "      <td>HYLAN BLVD</td>\n",
       "      <td>...</td>\n",
       "      <td>501.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>5.09084e+06</td>\n",
       "      <td>5.02853e+09</td>\n",
       "      <td>SI37</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-74.070374</td>\n",
       "      <td>40.611939</td>\n",
       "      <td>(40.61193872381227, -74.07037351766044)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>112270 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       DCA License Number License Type License Expiration Date License Status  \\\n",
       "255           2062603-DCA     Business              12/31/2021         Active   \n",
       "476           2034972-DCA     Business              03/31/2020         Active   \n",
       "481         2073413-1-DCA     Business              11/30/2019       Inactive   \n",
       "484           2054177-DCA     Business              12/31/2020       Inactive   \n",
       "486           2013293-DCA     Business              06/30/2020         Active   \n",
       "...                   ...          ...                     ...            ...   \n",
       "201162      2026189-2-DCA     Business              12/31/2020         Active   \n",
       "201163        1003888-DCA     Business              07/31/2021         Active   \n",
       "201164        1252203-DCA     Business              09/15/2013       Inactive   \n",
       "201165      2082881-2-DCA     Business              11/30/2020         Active   \n",
       "201166        1054840-DCA     Business              12/31/2020         Active   \n",
       "\n",
       "       License Creation Date                        Industry  \\\n",
       "255               12/06/2017                       Laundries   \n",
       "476               03/25/2016                Stoop Line Stand   \n",
       "481               06/14/2018     Electronic Cigarette Dealer   \n",
       "484               06/08/2017               Electronics Store   \n",
       "486               09/12/2014  Electronic & Appliance Service   \n",
       "...                      ...                             ...   \n",
       "201162            07/27/2015           Tobacco Retail Dealer   \n",
       "201163            02/25/1999     Secondhand Dealer - General   \n",
       "201164            04/14/2007                   Sidewalk Cafe   \n",
       "201165            03/05/2019     Electronic Cigarette Dealer   \n",
       "201166            12/05/2000           Tobacco Retail Dealer   \n",
       "\n",
       "                       Business Name         Business Name 2 Address Building  \\\n",
       "255         XING BIN LAUNDROMAT INC.                     NaN            10118   \n",
       "476                  Rosalie Tuzzino                     NaN              140   \n",
       "481             ANSHROOP CORPORATION  7 ELEVEN STORE #35764A             6031   \n",
       "484                     CSR PENN INC                     NaN              937   \n",
       "486     NEPTUNE AIR CONDITIONING INC                     NaN              575   \n",
       "...                              ...                     ...              ...   \n",
       "201162               SHREEJI 315 INC                     NaN              315   \n",
       "201163                  SOSA, ROCK H    NEW SOSA ELECTRONICS              261   \n",
       "201164             SALSA SALON, INC.                     NaN               47   \n",
       "201165        M & E CANDY STORE CORP                     NaN              148   \n",
       "201166                K P DELI CORP.                     NaN              255   \n",
       "\n",
       "       Address Street Name  ... Community Board Council District          BIN  \\\n",
       "255            LIBERTY AVE  ...           410.0             32.0      4201974   \n",
       "476            MULBERRY ST  ...           102.0              1.0      1077173   \n",
       "481       METROPOLITAN AVE  ...           405.0             30.0      4061108   \n",
       "484       PENNSYLVANIA AVE  ...           305.0             42.0      3327452   \n",
       "486          LEXINGTON AVE  ...           106.0              4.0      1036461   \n",
       "...                    ...  ...             ...              ...          ...   \n",
       "201162             1ST AVE  ...           106.0              2.0  1.02049e+06   \n",
       "201163         WYCKOFF AVE  ...           304.0             37.0  3.07577e+06   \n",
       "201164           E 12TH ST  ...           102.0              2.0  1.08468e+06   \n",
       "201165         MONTAGUE ST  ...           302.0             33.0  3.00208e+06   \n",
       "201166          HYLAN BLVD  ...           501.0             49.0  5.09084e+06   \n",
       "\n",
       "                BBL   NTA Census Tract  \\\n",
       "255      4095220009  QN55         94.0   \n",
       "476      1002370006  MN24         41.0   \n",
       "481      4027370037  QN21        603.0   \n",
       "484      3043910001  BK82       1104.0   \n",
       "486      1013060023  MN19        100.0   \n",
       "...             ...   ...          ...   \n",
       "201162  1.00924e+09  MN21         48.0   \n",
       "201163  3.03311e+09  BK77        441.0   \n",
       "201164  1.00564e+09  MN23         61.0   \n",
       "201165  3.00249e+09  BK09        502.0   \n",
       "201166  5.02853e+09  SI37          8.0   \n",
       "\n",
       "                                                   Detail  Longitude  \\\n",
       "255                          Laundry Type: Retail Laundry -73.839280   \n",
       "476     Product Category: Ice Cream, 4 foot stands: 1,... -73.997619   \n",
       "481                                                   NaN -73.904270   \n",
       "484                                                   NaN -73.888084   \n",
       "486                                                   NaN -73.971827   \n",
       "...                                                   ...        ...   \n",
       "201162                                                NaN -73.980569   \n",
       "201163                                                NaN -73.914197   \n",
       "201164  Sidewalk Cafe Type: Unenclosed, Square Feet: 7... -73.991683   \n",
       "201165                                                NaN -73.993329   \n",
       "201166                                                NaN -74.070374   \n",
       "\n",
       "         Latitude                                  Location  \n",
       "255     40.681305   (40.68130477447896, -73.83928016812561)  \n",
       "476     40.718663  (40.718663472948315, -73.99761907513695)  \n",
       "481     40.712849    (40.7128487179766, -73.90426990115682)  \n",
       "484     40.655199   (40.65519935647488, -73.88808402244312)  \n",
       "486     40.757216  (40.757215588426654, -73.97182746323014)  \n",
       "...           ...                                       ...  \n",
       "201162  40.733903   (40.73390349266078, -73.98056937440188)  \n",
       "201163  40.701265  (40.701265402071414, -73.91419725787644)  \n",
       "201164  40.733463   (40.73346292620985, -73.99168295346709)  \n",
       "201165  40.694518    (40.69451761556611, -73.9933286123902)  \n",
       "201166  40.611939   (40.61193872381227, -74.07037351766044)  \n",
       "\n",
       "[112270 rows x 27 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bus2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "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>DCA License Number</th>\n",
       "      <th>License Type</th>\n",
       "      <th>License Expiration Date</th>\n",
       "      <th>License Status</th>\n",
       "      <th>License Creation Date</th>\n",
       "      <th>Industry</th>\n",
       "      <th>Business Name</th>\n",
       "      <th>Business Name 2</th>\n",
       "      <th>Address Building</th>\n",
       "      <th>Address Street Name</th>\n",
       "      <th>...</th>\n",
       "      <th>Community Board</th>\n",
       "      <th>Council District</th>\n",
       "      <th>BIN</th>\n",
       "      <th>BBL</th>\n",
       "      <th>NTA</th>\n",
       "      <th>Census Tract</th>\n",
       "      <th>Detail</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [DCA License Number, License Type, License Expiration Date, License Status, License Creation Date, Industry, Business Name, Business Name 2, Address Building, Address Street Name, Secondary Address Street Name, Address City, Address State, Address ZIP, Contact Phone Number, Address Borough, Borough Code, Community Board, Council District, BIN, BBL, NTA, Census Tract, Detail, Longitude, Latitude, Location]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 27 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bus[bus['BBL'] == 4107280035]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'DataFrame' object has no attribute 'industry'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-59-261421e287ba>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m bus[bus.industry=='General Vendor'\n\u001b[0m\u001b[1;32m      2\u001b[0m ]\n",
      "\u001b[0;32m~/.local/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m   5177\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_can_hold_identifiers_and_holds_name\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   5178\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 5179\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   5180\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   5181\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'DataFrame' object has no attribute 'industry'"
     ]
    }
   ],
   "source": [
    "bus[bus.industry=='General Vendor'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rest = pd.read_csv('./data/full/DOHMH_New_York_City_Restaurant_Inspection_Results.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rest.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rest.head(5).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rest.iloc[0].BBL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Take away from business data\n",
    "\n",
    "Basically, the business data doesn't seem to have a good way to match it with the restaurant data. Maybe in the future, I will think about this more, but right now it looks like I am just gonna drop it.\n",
    "\n",
    "Potentially, we could make another map looking at the different types of businesses around each of the restaurants. Maybe restaurants near vape shops have some sort of correlation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Weather!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "weather = pd.read_csv('./data/NYC_historical_weather.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "weather.loc[1000:1004].T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "weather.DATE = pd.to_datetime(weather.DATE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "weather.plot('DATE', 'TMAX')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Merge the weather data with the inspections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_single_visits = df_single_visits.merge(weather[['DATE', 'TMAX']], left_on='inspection_date', right_on='DATE')\n",
    "# drop the extra date column\n",
    "df_single_visits.drop(labels='DATE', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now we want to see if can calculate a few things about the inspections\n",
    "\n",
    "* Time since last inspection -- apparently, that is super easy\n",
    "* Last inspection critical -- y/n\n",
    "* Last inspection grade (or maybe score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Buddy's Burrito and Taco Bar for testing\n",
    "df_test = df_single_visits[df_single_visits.camis==40393243]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test['time_since'] = df_test.groupby('camis')['inspection_date'].diff().apply(lambda x: x.days)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now try to say if it had a previous critical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test['past_critical'] = df_test.groupby(['camis'])['critical'].shift()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Seems we can do the same thing for previous grade and score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test['past_grade'] = df_test.groupby(['camis'])['grade'].shift()\n",
    "df_test['past_score'] = df_test.groupby(['camis'])['score'].shift()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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