SPARCS Kidney Transplants multiple years 2009-2014.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook I will show how to get multiple years of SPARCS data and combine them into a single dataframe for analysis. We will continue using the kidney transplant example that we had developed previously."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "year_to_sparcs_key = {2009: \"q6hk-esrj\", 2010: \"mtfm-rxf4\", 2011: \"pyhr-5eas\", 2012: \"u4ud-w55t\",\n",
    "                      2013: \"npsr-cm47\", 2014: \"rmwa-zns4\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "base_url = \"https://health.data.ny.gov/resource/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_df_across_multiple_files(key_dict, base_url, search_query, row_limit=10000):\n",
    "    df_dict = {} # Store df as keys\n",
    "    for key in key_dict:\n",
    "        ds_hash = key_dict[key]\n",
    "        request_url = base_url + ds_hash + \".json\" + \"?\" + search_query + \"&$limit=\" + str(row_limit)\n",
    "        print(\"Extracting %s with %s\" % (key, request_url))\n",
    "        df = pd.read_json(request_url)\n",
    "        df_dict[key] = df\n",
    "    return df_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting 2009 with https://health.data.ny.gov/resource/q6hk-esrj.json?ccs_procedure_code=105&$limit=10000\n",
      "Extracting 2010 with https://health.data.ny.gov/resource/mtfm-rxf4.json?ccs_procedure_code=105&$limit=10000\n",
      "Extracting 2011 with https://health.data.ny.gov/resource/pyhr-5eas.json?ccs_procedure_code=105&$limit=10000\n",
      "Extracting 2012 with https://health.data.ny.gov/resource/u4ud-w55t.json?ccs_procedure_code=105&$limit=10000\n",
      "Extracting 2013 with https://health.data.ny.gov/resource/npsr-cm47.json?ccs_procedure_code=105&$limit=10000\n",
      "Extracting 2014 with https://health.data.ny.gov/resource/rmwa-zns4.json?ccs_procedure_code=105&$limit=10000\n"
     ]
    }
   ],
   "source": [
    "kd_df_dicts = get_df_across_multiple_files(year_to_sparcs_key, base_url, \"ccs_procedure_code=105\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def create_single_df_from_df_dict(df_dict, key_name):\n",
    "    \"\"\"Build a single dataframe that that has a new field called key_name with the key values in df_dict\"\"\"\n",
    "    df_keys = df_dict.keys()\n",
    "    base_df = df_dict[df_keys[0]]\n",
    "    base_df[key_name] = df_keys[0]\n",
    "    for df_key in df_keys[1:]:\n",
    "        df = df_dict[df_key]\n",
    "        df[key_name] = df_key\n",
    "        base_df = base_df.append(df, ignore_index=True)\n",
    "    return base_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "kidney_cy_09_14 = create_single_df_from_df_dict(kd_df_dicts, \"discharge_year\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Uncomment the last line if there are API issues\n",
    "#kidney_cy_09_14.to_csv(\"./data/sparcs_ny_kidney_transplants_2009_2014.csv\")\n",
    "#kidney_cy_09_14 = pd.read_csv(\"./data/sparcs_ny_kidney_transplants_2009_2014.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6906"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kidney_cy_09_14.discharge_year.count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will generate cross tabulations of the to quantify any temportal trends."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "discharge_year\n",
       "2009    1217\n",
       "2010    1132\n",
       "2011    1170\n",
       "2012    1157\n",
       "2013    1061\n",
       "2014    1169\n",
       "Name: length_of_stay, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kidney_cy_09_14.groupby(\"discharge_year\")[\"length_of_stay\"].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "kidney_cy_09_14[\"length_of_stay\"] = pd.to_numeric(kidney_cy_09_14[\"length_of_stay\"], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "facility_name\n",
       "Albany Medical Center Hospital                                          9.535714\n",
       "Bellevue Hospital Center                                                7.000000\n",
       "Buffalo General Hospital                                                7.728395\n",
       "Erie County Medical Center                                              6.071698\n",
       "Montefiore Med Center - Jack D Weiler Hosp of A Einstein College Div    2.000000\n",
       "Montefiore Medical Center - Henry & Lucy Moses Div                      7.349296\n",
       "Mount Sinai Hospital                                                    6.160763\n",
       "Mount Sinai St. Lukes                                                   8.837838\n",
       "NYU Hospitals Center                                                    6.210526\n",
       "New York Presbyterian Hospital - Columbia Presbyterian Center           7.361171\n",
       "New York Presbyterian Hospital - New York Weill Cornell Center          5.519386\n",
       "North Shore University Hospital                                         4.750000\n",
       "Rochester General Hospital                                              7.000000\n",
       "St Lukes Roosevelt Hospital - St Lukes Hospital Division                8.758621\n",
       "Strong Memorial Hospital                                                8.701754\n",
       "University Hospital                                                     7.774869\n",
       "University Hospital SUNY Health Science Center                          6.226667\n",
       "University Hospital of Brooklyn                                         8.841060\n",
       "Westchester Medical Center                                              7.801802\n",
       "Name: length_of_stay, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kidney_cy_09_14.groupby([\"facility_name\"])[\"length_of_stay\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>discharge_year</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facility_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Albany Medical Center Hospital</th>\n",
       "      <td>50</td>\n",
       "      <td>46</td>\n",
       "      <td>45</td>\n",
       "      <td>48</td>\n",
       "      <td>37</td>\n",
       "      <td>55</td>\n",
       "      <td>281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bellevue Hospital Center</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Buffalo General Hospital</th>\n",
       "      <td>65</td>\n",
       "      <td>57</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Erie County Medical Center</th>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "      <td>23</td>\n",
       "      <td>66</td>\n",
       "      <td>61</td>\n",
       "      <td>74</td>\n",
       "      <td>265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montefiore Med Center - Jack D Weiler Hosp of A Einstein College Div</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montefiore Medical Center - Henry &amp; Lucy Moses Div</th>\n",
       "      <td>112</td>\n",
       "      <td>101</td>\n",
       "      <td>104</td>\n",
       "      <td>132</td>\n",
       "      <td>106</td>\n",
       "      <td>155</td>\n",
       "      <td>710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mount Sinai Hospital</th>\n",
       "      <td>188</td>\n",
       "      <td>165</td>\n",
       "      <td>212</td>\n",
       "      <td>199</td>\n",
       "      <td>176</td>\n",
       "      <td>162</td>\n",
       "      <td>1102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mount Sinai St. Lukes</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYU Hospitals Center</th>\n",
       "      <td>19</td>\n",
       "      <td>16</td>\n",
       "      <td>30</td>\n",
       "      <td>17</td>\n",
       "      <td>26</td>\n",
       "      <td>25</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Presbyterian Hospital - Columbia Presbyterian Center</th>\n",
       "      <td>248</td>\n",
       "      <td>227</td>\n",
       "      <td>242</td>\n",
       "      <td>249</td>\n",
       "      <td>211</td>\n",
       "      <td>225</td>\n",
       "      <td>1402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Presbyterian Hospital - New York Weill Cornell Center</th>\n",
       "      <td>232</td>\n",
       "      <td>205</td>\n",
       "      <td>192</td>\n",
       "      <td>200</td>\n",
       "      <td>198</td>\n",
       "      <td>211</td>\n",
       "      <td>1238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Shore University Hospital</th>\n",
       "      <td>25</td>\n",
       "      <td>33</td>\n",
       "      <td>43</td>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>29</td>\n",
       "      <td>164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rochester General Hospital</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St Lukes Roosevelt Hospital - St Lukes Hospital Division</th>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strong Memorial Hospital</th>\n",
       "      <td>62</td>\n",
       "      <td>82</td>\n",
       "      <td>67</td>\n",
       "      <td>62</td>\n",
       "      <td>66</td>\n",
       "      <td>60</td>\n",
       "      <td>399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University Hospital</th>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>57</td>\n",
       "      <td>65</td>\n",
       "      <td>67</td>\n",
       "      <td>59</td>\n",
       "      <td>382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University Hospital SUNY Health Science Center</th>\n",
       "      <td>37</td>\n",
       "      <td>29</td>\n",
       "      <td>36</td>\n",
       "      <td>29</td>\n",
       "      <td>30</td>\n",
       "      <td>64</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University Hospital of Brooklyn</th>\n",
       "      <td>26</td>\n",
       "      <td>13</td>\n",
       "      <td>32</td>\n",
       "      <td>30</td>\n",
       "      <td>27</td>\n",
       "      <td>23</td>\n",
       "      <td>151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Westchester Medical Center</th>\n",
       "      <td>41</td>\n",
       "      <td>63</td>\n",
       "      <td>33</td>\n",
       "      <td>31</td>\n",
       "      <td>28</td>\n",
       "      <td>27</td>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>1217</td>\n",
       "      <td>1132</td>\n",
       "      <td>1170</td>\n",
       "      <td>1157</td>\n",
       "      <td>1061</td>\n",
       "      <td>1169</td>\n",
       "      <td>6906</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "discharge_year                                      2009  2010  2011  2012  \\\n",
       "facility_name                                                                \n",
       "Albany Medical Center Hospital                        50    46    45    48   \n",
       "Bellevue Hospital Center                               1     0     0     0   \n",
       "Buffalo General Hospital                              65    57    40     0   \n",
       "Erie County Medical Center                            33     8    23    66   \n",
       "Montefiore Med Center - Jack D Weiler Hosp of A...     0     1     0     0   \n",
       "Montefiore Medical Center - Henry & Lucy Moses Div   112   101   104   132   \n",
       "Mount Sinai Hospital                                 188   165   212   199   \n",
       "Mount Sinai St. Lukes                                  0     0    14    15   \n",
       "NYU Hospitals Center                                  19    16    30    17   \n",
       "New York Presbyterian Hospital - Columbia Presb...   248   227   242   249   \n",
       "New York Presbyterian Hospital - New York Weill...   232   205   192   200   \n",
       "North Shore University Hospital                       25    33    43    14   \n",
       "Rochester General Hospital                             0     1     0     0   \n",
       "St Lukes Roosevelt Hospital - St Lukes Hospital...    11    18     0     0   \n",
       "Strong Memorial Hospital                              62    82    67    62   \n",
       "University Hospital                                   67    67    57    65   \n",
       "University Hospital SUNY Health Science Center        37    29    36    29   \n",
       "University Hospital of Brooklyn                       26    13    32    30   \n",
       "Westchester Medical Center                            41    63    33    31   \n",
       "All                                                 1217  1132  1170  1157   \n",
       "\n",
       "discharge_year                                      2013  2014   All  \n",
       "facility_name                                                         \n",
       "Albany Medical Center Hospital                        37    55   281  \n",
       "Bellevue Hospital Center                               0     0     1  \n",
       "Buffalo General Hospital                               0     0   162  \n",
       "Erie County Medical Center                            61    74   265  \n",
       "Montefiore Med Center - Jack D Weiler Hosp of A...     0     0     1  \n",
       "Montefiore Medical Center - Henry & Lucy Moses Div   106   155   710  \n",
       "Mount Sinai Hospital                                 176   162  1102  \n",
       "Mount Sinai St. Lukes                                  8     0    37  \n",
       "NYU Hospitals Center                                  26    25   133  \n",
       "New York Presbyterian Hospital - Columbia Presb...   211   225  1402  \n",
       "New York Presbyterian Hospital - New York Weill...   198   211  1238  \n",
       "North Shore University Hospital                       20    29   164  \n",
       "Rochester General Hospital                             0     0     1  \n",
       "St Lukes Roosevelt Hospital - St Lukes Hospital...     0     0    29  \n",
       "Strong Memorial Hospital                              66    60   399  \n",
       "University Hospital                                   67    59   382  \n",
       "University Hospital SUNY Health Science Center        30    64   225  \n",
       "University Hospital of Brooklyn                       27    23   151  \n",
       "Westchester Medical Center                            28    27   223  \n",
       "All                                                 1061  1169  6906  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(kidney_cy_09_14[\"facility_name\"],  kidney_cy_09_14[\"discharge_year\"], margins=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>discharge_year</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facility_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Albany Medical Center Hospital</th>\n",
       "      <td>9.580000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>9.577778</td>\n",
       "      <td>7.958333</td>\n",
       "      <td>9.972222</td>\n",
       "      <td>9.327273</td>\n",
       "      <td>9.535714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bellevue Hospital Center</th>\n",
       "      <td>7.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Buffalo General Hospital</th>\n",
       "      <td>8.769231</td>\n",
       "      <td>6.771930</td>\n",
       "      <td>7.400000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.728395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Erie County Medical Center</th>\n",
       "      <td>8.212121</td>\n",
       "      <td>5.750000</td>\n",
       "      <td>6.391304</td>\n",
       "      <td>5.439394</td>\n",
       "      <td>5.426230</td>\n",
       "      <td>6.148649</td>\n",
       "      <td>6.071698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montefiore Med Center - Jack D Weiler Hosp of A Einstein College Div</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montefiore Medical Center - Henry &amp; Lucy Moses Div</th>\n",
       "      <td>7.455357</td>\n",
       "      <td>7.772277</td>\n",
       "      <td>8.182692</td>\n",
       "      <td>7.742424</td>\n",
       "      <td>6.801887</td>\n",
       "      <td>6.477419</td>\n",
       "      <td>7.349296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mount Sinai Hospital</th>\n",
       "      <td>5.691489</td>\n",
       "      <td>5.533333</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.459596</td>\n",
       "      <td>6.125000</td>\n",
       "      <td>7.228395</td>\n",
       "      <td>6.160763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mount Sinai St. Lukes</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.642857</td>\n",
       "      <td>9.333333</td>\n",
       "      <td>8.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.837838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYU Hospitals Center</th>\n",
       "      <td>7.526316</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>5.133333</td>\n",
       "      <td>5.705882</td>\n",
       "      <td>6.576923</td>\n",
       "      <td>5.960000</td>\n",
       "      <td>6.210526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Presbyterian Hospital - Columbia Presbyterian Center</th>\n",
       "      <td>7.725806</td>\n",
       "      <td>6.845815</td>\n",
       "      <td>7.942149</td>\n",
       "      <td>6.818548</td>\n",
       "      <td>7.592417</td>\n",
       "      <td>7.235556</td>\n",
       "      <td>7.361171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Presbyterian Hospital - New York Weill Cornell Center</th>\n",
       "      <td>6.185345</td>\n",
       "      <td>5.585366</td>\n",
       "      <td>5.536458</td>\n",
       "      <td>5.595000</td>\n",
       "      <td>4.868687</td>\n",
       "      <td>5.246445</td>\n",
       "      <td>5.519386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Shore University Hospital</th>\n",
       "      <td>2.360000</td>\n",
       "      <td>4.181818</td>\n",
       "      <td>5.372093</td>\n",
       "      <td>5.928571</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>6.137931</td>\n",
       "      <td>4.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rochester General Hospital</th>\n",
       "      <td>NaN</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St Lukes Roosevelt Hospital - St Lukes Hospital Division</th>\n",
       "      <td>10.090909</td>\n",
       "      <td>7.944444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.758621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strong Memorial Hospital</th>\n",
       "      <td>7.532258</td>\n",
       "      <td>8.609756</td>\n",
       "      <td>8.298507</td>\n",
       "      <td>9.483871</td>\n",
       "      <td>9.090909</td>\n",
       "      <td>9.250000</td>\n",
       "      <td>8.701754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University Hospital</th>\n",
       "      <td>8.164179</td>\n",
       "      <td>10.417910</td>\n",
       "      <td>7.596491</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>6.925373</td>\n",
       "      <td>6.762712</td>\n",
       "      <td>7.774869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University Hospital SUNY Health Science Center</th>\n",
       "      <td>6.891892</td>\n",
       "      <td>8.379310</td>\n",
       "      <td>6.388889</td>\n",
       "      <td>6.137931</td>\n",
       "      <td>5.266667</td>\n",
       "      <td>5.265625</td>\n",
       "      <td>6.226667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University Hospital of Brooklyn</th>\n",
       "      <td>10.307692</td>\n",
       "      <td>7.615385</td>\n",
       "      <td>6.562500</td>\n",
       "      <td>8.400000</td>\n",
       "      <td>9.777778</td>\n",
       "      <td>10.521739</td>\n",
       "      <td>8.841060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Westchester Medical Center</th>\n",
       "      <td>7.780488</td>\n",
       "      <td>7.539683</td>\n",
       "      <td>10.121212</td>\n",
       "      <td>6.193548</td>\n",
       "      <td>6.555556</td>\n",
       "      <td>8.703704</td>\n",
       "      <td>7.801802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>7.191454</td>\n",
       "      <td>7.030035</td>\n",
       "      <td>7.052137</td>\n",
       "      <td>6.762771</td>\n",
       "      <td>6.652502</td>\n",
       "      <td>6.820359</td>\n",
       "      <td>6.924080</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "discharge_year                                           2009       2010  \\\n",
       "facility_name                                                              \n",
       "Albany Medical Center Hospital                       9.580000  11.000000   \n",
       "Bellevue Hospital Center                             7.000000        NaN   \n",
       "Buffalo General Hospital                             8.769231   6.771930   \n",
       "Erie County Medical Center                           8.212121   5.750000   \n",
       "Montefiore Med Center - Jack D Weiler Hosp of A...        NaN   2.000000   \n",
       "Montefiore Medical Center - Henry & Lucy Moses Div   7.455357   7.772277   \n",
       "Mount Sinai Hospital                                 5.691489   5.533333   \n",
       "Mount Sinai St. Lukes                                     NaN        NaN   \n",
       "NYU Hospitals Center                                 7.526316   7.000000   \n",
       "New York Presbyterian Hospital - Columbia Presb...   7.725806   6.845815   \n",
       "New York Presbyterian Hospital - New York Weill...   6.185345   5.585366   \n",
       "North Shore University Hospital                      2.360000   4.181818   \n",
       "Rochester General Hospital                                NaN   7.000000   \n",
       "St Lukes Roosevelt Hospital - St Lukes Hospital...  10.090909   7.944444   \n",
       "Strong Memorial Hospital                             7.532258   8.609756   \n",
       "University Hospital                                  8.164179  10.417910   \n",
       "University Hospital SUNY Health Science Center       6.891892   8.379310   \n",
       "University Hospital of Brooklyn                     10.307692   7.615385   \n",
       "Westchester Medical Center                           7.780488   7.539683   \n",
       "All                                                  7.191454   7.030035   \n",
       "\n",
       "discharge_year                                           2011      2012  \\\n",
       "facility_name                                                             \n",
       "Albany Medical Center Hospital                       9.577778  7.958333   \n",
       "Bellevue Hospital Center                                  NaN       NaN   \n",
       "Buffalo General Hospital                             7.400000       NaN   \n",
       "Erie County Medical Center                           6.391304  5.439394   \n",
       "Montefiore Med Center - Jack D Weiler Hosp of A...        NaN       NaN   \n",
       "Montefiore Medical Center - Henry & Lucy Moses Div   8.182692  7.742424   \n",
       "Mount Sinai Hospital                                 6.000000  6.459596   \n",
       "Mount Sinai St. Lukes                                8.642857  9.333333   \n",
       "NYU Hospitals Center                                 5.133333  5.705882   \n",
       "New York Presbyterian Hospital - Columbia Presb...   7.942149  6.818548   \n",
       "New York Presbyterian Hospital - New York Weill...   5.536458  5.595000   \n",
       "North Shore University Hospital                      5.372093  5.928571   \n",
       "Rochester General Hospital                                NaN       NaN   \n",
       "St Lukes Roosevelt Hospital - St Lukes Hospital...        NaN       NaN   \n",
       "Strong Memorial Hospital                             8.298507  9.483871   \n",
       "University Hospital                                  7.596491  6.600000   \n",
       "University Hospital SUNY Health Science Center       6.388889  6.137931   \n",
       "University Hospital of Brooklyn                      6.562500  8.400000   \n",
       "Westchester Medical Center                          10.121212  6.193548   \n",
       "All                                                  7.052137  6.762771   \n",
       "\n",
       "discharge_year                                          2013       2014  \\\n",
       "facility_name                                                             \n",
       "Albany Medical Center Hospital                      9.972222   9.327273   \n",
       "Bellevue Hospital Center                                 NaN        NaN   \n",
       "Buffalo General Hospital                                 NaN        NaN   \n",
       "Erie County Medical Center                          5.426230   6.148649   \n",
       "Montefiore Med Center - Jack D Weiler Hosp of A...       NaN        NaN   \n",
       "Montefiore Medical Center - Henry & Lucy Moses Div  6.801887   6.477419   \n",
       "Mount Sinai Hospital                                6.125000   7.228395   \n",
       "Mount Sinai St. Lukes                               8.250000        NaN   \n",
       "NYU Hospitals Center                                6.576923   5.960000   \n",
       "New York Presbyterian Hospital - Columbia Presb...  7.592417   7.235556   \n",
       "New York Presbyterian Hospital - New York Weill...  4.868687   5.246445   \n",
       "North Shore University Hospital                     4.500000   6.137931   \n",
       "Rochester General Hospital                               NaN        NaN   \n",
       "St Lukes Roosevelt Hospital - St Lukes Hospital...       NaN        NaN   \n",
       "Strong Memorial Hospital                            9.090909   9.250000   \n",
       "University Hospital                                 6.925373   6.762712   \n",
       "University Hospital SUNY Health Science Center      5.266667   5.265625   \n",
       "University Hospital of Brooklyn                     9.777778  10.521739   \n",
       "Westchester Medical Center                          6.555556   8.703704   \n",
       "All                                                 6.652502   6.820359   \n",
       "\n",
       "discharge_year                                           All  \n",
       "facility_name                                                 \n",
       "Albany Medical Center Hospital                      9.535714  \n",
       "Bellevue Hospital Center                            7.000000  \n",
       "Buffalo General Hospital                            7.728395  \n",
       "Erie County Medical Center                          6.071698  \n",
       "Montefiore Med Center - Jack D Weiler Hosp of A...  2.000000  \n",
       "Montefiore Medical Center - Henry & Lucy Moses Div  7.349296  \n",
       "Mount Sinai Hospital                                6.160763  \n",
       "Mount Sinai St. Lukes                               8.837838  \n",
       "NYU Hospitals Center                                6.210526  \n",
       "New York Presbyterian Hospital - Columbia Presb...  7.361171  \n",
       "New York Presbyterian Hospital - New York Weill...  5.519386  \n",
       "North Shore University Hospital                     4.750000  \n",
       "Rochester General Hospital                          7.000000  \n",
       "St Lukes Roosevelt Hospital - St Lukes Hospital...  8.758621  \n",
       "Strong Memorial Hospital                            8.701754  \n",
       "University Hospital                                 7.774869  \n",
       "University Hospital SUNY Health Science Center      6.226667  \n",
       "University Hospital of Brooklyn                     8.841060  \n",
       "Westchester Medical Center                          7.801802  \n",
       "All                                                 6.924080  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(kidney_cy_09_14[\"facility_name\"],  kidney_cy_09_14[\"discharge_year\"], \n",
    "            margins=True, values=kidney_cy_09_14[\"length_of_stay\"],aggfunc=np.mean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda2\\lib\\site-packages\\numpy\\lib\\function_base.py:3142: RuntimeWarning: Invalid value encountered in median\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>discharge_year</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facility_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Albany Medical Center Hospital</th>\n",
       "      <td>7.0</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bellevue Hospital Center</th>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Buffalo General Hospital</th>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Erie County Medical Center</th>\n",
       "      <td>6.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montefiore Med Center - Jack D Weiler Hosp of A Einstein College Div</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montefiore Medical Center - Henry &amp; Lucy Moses Div</th>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mount Sinai Hospital</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mount Sinai St. Lukes</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYU Hospitals Center</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Presbyterian Hospital - Columbia Presbyterian Center</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Presbyterian Hospital - New York Weill Cornell Center</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Shore University Hospital</th>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rochester General Hospital</th>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St Lukes Roosevelt Hospital - St Lukes Hospital Division</th>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strong Memorial Hospital</th>\n",
       "      <td>5.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University Hospital</th>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University Hospital SUNY Health Science Center</th>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University Hospital of Brooklyn</th>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Westchester Medical Center</th>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "discharge_year                                      2009  2010  2011  2012  \\\n",
       "facility_name                                                                \n",
       "Albany Medical Center Hospital                       7.0   7.5   7.0   7.0   \n",
       "Bellevue Hospital Center                             7.0   NaN   NaN   NaN   \n",
       "Buffalo General Hospital                             6.0   6.0   6.0   NaN   \n",
       "Erie County Medical Center                           6.0   5.5   6.0   5.0   \n",
       "Montefiore Med Center - Jack D Weiler Hosp of A...   NaN   2.0   NaN   NaN   \n",
       "Montefiore Medical Center - Henry & Lucy Moses Div   7.0   6.0   7.0   6.0   \n",
       "Mount Sinai Hospital                                 5.0   5.0   5.0   5.0   \n",
       "Mount Sinai St. Lukes                                NaN   NaN   8.5   8.0   \n",
       "NYU Hospitals Center                                 5.0   5.0   5.0   5.0   \n",
       "New York Presbyterian Hospital - Columbia Presb...   5.0   5.0   5.5   5.0   \n",
       "New York Presbyterian Hospital - New York Weill...   5.0   5.0   4.0   5.0   \n",
       "North Shore University Hospital                      2.0   3.0   4.0   4.0   \n",
       "Rochester General Hospital                           NaN   7.0   NaN   NaN   \n",
       "St Lukes Roosevelt Hospital - St Lukes Hospital...  10.0   7.0   NaN   NaN   \n",
       "Strong Memorial Hospital                             5.5   6.0   6.0   7.0   \n",
       "University Hospital                                  7.0   6.0   5.0   5.0   \n",
       "University Hospital SUNY Health Science Center       6.0   6.0   5.0   5.0   \n",
       "University Hospital of Brooklyn                      9.0   7.0   6.0   6.5   \n",
       "Westchester Medical Center                           6.0   6.0   7.0   5.0   \n",
       "All                                                  5.0   5.0   5.0   5.0   \n",
       "\n",
       "discharge_year                                      2013  2014  All  \n",
       "facility_name                                                        \n",
       "Albany Medical Center Hospital                       8.0   8.0  8.0  \n",
       "Bellevue Hospital Center                             NaN   NaN  7.0  \n",
       "Buffalo General Hospital                             NaN   NaN  6.0  \n",
       "Erie County Medical Center                           5.0   6.0  5.0  \n",
       "Montefiore Med Center - Jack D Weiler Hosp of A...   NaN   NaN  2.0  \n",
       "Montefiore Medical Center - Henry & Lucy Moses Div   6.0   5.0  6.0  \n",
       "Mount Sinai Hospital                                 5.0   6.0  5.0  \n",
       "Mount Sinai St. Lukes                                8.0   NaN  8.0  \n",
       "NYU Hospitals Center                                 5.0   5.0  5.0  \n",
       "New York Presbyterian Hospital - Columbia Presb...   5.0   5.0  5.0  \n",
       "New York Presbyterian Hospital - New York Weill...   4.0   4.0  4.0  \n",
       "North Shore University Hospital                      3.0   4.0  3.0  \n",
       "Rochester General Hospital                           NaN   NaN  7.0  \n",
       "St Lukes Roosevelt Hospital - St Lukes Hospital...   NaN   NaN  8.0  \n",
       "Strong Memorial Hospital                             7.0   5.5  6.0  \n",
       "University Hospital                                  5.0   5.0  5.0  \n",
       "University Hospital SUNY Health Science Center       5.0   4.0  5.0  \n",
       "University Hospital of Brooklyn                      7.0   8.0  7.0  \n",
       "Westchester Medical Center                           6.0   5.0  6.0  \n",
       "All                                                  5.0   5.0  NaN  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(kidney_cy_09_14[\"facility_name\"],  kidney_cy_09_14[\"discharge_year\"], \n",
    "            margins=True, values=kidney_cy_09_14[\"length_of_stay\"], aggfunc=np.median)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There appears to be no significant change in length of stay for kidney transplants from 2009 to 2014."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import seaborn as sb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc17eda0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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2GytrQNjX3Sd7Vd19FfASd/8D01tC+wvAvwJ/IqlxLHH3+9PX7iCpNQRh7tx5FdMxWbny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\niIgA8P8BqDg9/sU8cqoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc111ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.boxplot(y=\"length_of_stay\", x=\"discharge_year\", data=kidney_cy_09_14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc852be0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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l17zKlluqwu/uPzCzdwJ/TfRXwonu/v8AzOwj7v6DlM/3mJkd6O73Ax8C7hnvDj09G1I+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\n/x/8R4ILRQAO9wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc690b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.boxplot(y=\"length_of_stay\", x=\"discharge_year\", data=kidney_cy_09_14[kidney_cy_09_14[\"length_of_stay\"] <= 20])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc7ee9b0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zz100VaZlhWg0iqbtQ3IryG7bqNeVcgdCFuzfvzcP1k0ew5MfT/grZRlZiGnr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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc17e4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.violinplot(y=\"length_of_stay\", x=\"discharge_year\", data=kidney_cy_09_14[kidney_cy_09_14[\"length_of_stay\"] <= 20])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}