2. Project on Data Wrangling and Transformation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "files = [\"ap_2010.csv\",\"class_size.csv\",\"demographics.csv\",\n",
    "         \"graduation.csv\",\n",
    "         \"hs_directory.csv\", \"sat_results.csv\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>DBN</th>\n",
       "      <th>SchoolName</th>\n",
       "      <th>AP Test Takers</th>\n",
       "      <th>Total Exams Taken</th>\n",
       "      <th>Number of Exams with scores 3 4 or 5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01M448</td>\n",
       "      <td>UNIVERSITY NEIGHBORHOOD H.S.</td>\n",
       "      <td>39.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01M450</td>\n",
       "      <td>EAST SIDE COMMUNITY HS</td>\n",
       "      <td>19.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01M515</td>\n",
       "      <td>LOWER EASTSIDE PREP</td>\n",
       "      <td>24.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01M539</td>\n",
       "      <td>NEW EXPLORATIONS SCI,TECH,MATH</td>\n",
       "      <td>255.0</td>\n",
       "      <td>377.0</td>\n",
       "      <td>191.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>02M296</td>\n",
       "      <td>High School of Hospitality Management</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>31R605</td>\n",
       "      <td>STATEN ISLAND TECHNICAL HS</td>\n",
       "      <td>528.0</td>\n",
       "      <td>905.0</td>\n",
       "      <td>809.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>32K545</td>\n",
       "      <td>EBC-HS FOR PUB SERVICE (BUSH)</td>\n",
       "      <td>47.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>32K552</td>\n",
       "      <td>Academy of Urban Planning</td>\n",
       "      <td>76.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>32K554</td>\n",
       "      <td>All City Leadership Secondary School</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>32K556</td>\n",
       "      <td>Bushwick Leaders High School for Academic Exce...</td>\n",
       "      <td>34.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>258 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        DBN                                         SchoolName  \\\n",
       "0    01M448                       UNIVERSITY NEIGHBORHOOD H.S.   \n",
       "1    01M450                             EAST SIDE COMMUNITY HS   \n",
       "2    01M515                                LOWER EASTSIDE PREP   \n",
       "3    01M539                     NEW EXPLORATIONS SCI,TECH,MATH   \n",
       "4    02M296              High School of Hospitality Management   \n",
       "..      ...                                                ...   \n",
       "253  31R605                         STATEN ISLAND TECHNICAL HS   \n",
       "254  32K545                      EBC-HS FOR PUB SERVICE (BUSH)   \n",
       "255  32K552                          Academy of Urban Planning   \n",
       "256  32K554               All City Leadership Secondary School   \n",
       "257  32K556  Bushwick Leaders High School for Academic Exce...   \n",
       "\n",
       "     AP Test Takers   Total Exams Taken  Number of Exams with scores 3 4 or 5  \n",
       "0               39.0               49.0                                  10.0  \n",
       "1               19.0               21.0                                   NaN  \n",
       "2               24.0               26.0                                  24.0  \n",
       "3              255.0              377.0                                 191.0  \n",
       "4                NaN                NaN                                   NaN  \n",
       "..               ...                ...                                   ...  \n",
       "253            528.0              905.0                                 809.0  \n",
       "254             47.0               64.0                                  13.0  \n",
       "255             76.0              100.0                                  10.0  \n",
       "256              7.0                8.0                                   NaN  \n",
       "257             34.0               35.0                                  18.0  \n",
       "\n",
       "[258 rows x 5 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv(\"school/ap_2010.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = {}\n",
    "\n",
    "for f in files:\n",
    "    df =  pd.read_csv(\"school/{}\".format(f))\n",
    "    key = f.replace(\".csv\", \"\")\n",
    "    data[key] = df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_survey = pd.read_csv(\"school/survey_all.txt\", delimiter = \"\\t\", encoding = \"latin-1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "d75_survey = pd.read_csv(\"school/survey_d75.txt\", delimiter = \"\\t\", encoding = \"latin-1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "survey = pd.concat([all_survey,d75_survey], axis = 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Wrangling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>DBN</th>\n",
       "      <th>SCHOOL NAME</th>\n",
       "      <th>Num of SAT Test Takers</th>\n",
       "      <th>SAT Critical Reading Avg. Score</th>\n",
       "      <th>SAT Math Avg. Score</th>\n",
       "      <th>SAT Writing Avg. Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01M292</td>\n",
       "      <td>HENRY STREET SCHOOL FOR INTERNATIONAL STUDIES</td>\n",
       "      <td>29</td>\n",
       "      <td>355</td>\n",
       "      <td>404</td>\n",
       "      <td>363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01M448</td>\n",
       "      <td>UNIVERSITY NEIGHBORHOOD HIGH SCHOOL</td>\n",
       "      <td>91</td>\n",
       "      <td>383</td>\n",
       "      <td>423</td>\n",
       "      <td>366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01M450</td>\n",
       "      <td>EAST SIDE COMMUNITY SCHOOL</td>\n",
       "      <td>70</td>\n",
       "      <td>377</td>\n",
       "      <td>402</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01M458</td>\n",
       "      <td>FORSYTH SATELLITE ACADEMY</td>\n",
       "      <td>7</td>\n",
       "      <td>414</td>\n",
       "      <td>401</td>\n",
       "      <td>359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01M509</td>\n",
       "      <td>MARTA VALLE HIGH SCHOOL</td>\n",
       "      <td>44</td>\n",
       "      <td>390</td>\n",
       "      <td>433</td>\n",
       "      <td>384</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      DBN                                    SCHOOL NAME  \\\n",
       "0  01M292  HENRY STREET SCHOOL FOR INTERNATIONAL STUDIES   \n",
       "1  01M448            UNIVERSITY NEIGHBORHOOD HIGH SCHOOL   \n",
       "2  01M450                     EAST SIDE COMMUNITY SCHOOL   \n",
       "3  01M458                      FORSYTH SATELLITE ACADEMY   \n",
       "4  01M509                        MARTA VALLE HIGH SCHOOL   \n",
       "\n",
       "  Num of SAT Test Takers SAT Critical Reading Avg. Score SAT Math Avg. Score  \\\n",
       "0                     29                             355                 404   \n",
       "1                     91                             383                 423   \n",
       "2                     70                             377                 402   \n",
       "3                      7                             414                 401   \n",
       "4                     44                             390                 433   \n",
       "\n",
       "  SAT Writing Avg. Score  \n",
       "0                    363  \n",
       "1                    366  \n",
       "2                    370  \n",
       "3                    359  \n",
       "4                    384  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"sat_results\"].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['dbn', 'bn', 'schoolname', 'd75', 'studentssurveyed', 'highschool',\n",
       "       'schooltype', 'rr_s', 'rr_t', 'rr_p',\n",
       "       ...\n",
       "       's_q14_2', 's_q14_3', 's_q14_4', 's_q14_5', 's_q14_6', 's_q14_7',\n",
       "       's_q14_8', 's_q14_9', 's_q14_10', 's_q14_11'],\n",
       "      dtype='object', length=2773)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "survey.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1702, 2773)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "survey.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "survey[\"DBN\"] = survey['dbn']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "survey_fields = [\"DBN\", \"rr_s\", \"rr_t\", \"rr_p\", \"N_s\", \"N_t\", \"N_p\", \"saf_p_11\", \n",
    "        \"com_p_11\", \"eng_p_11\", \"aca_p_11\", \"saf_t_11\", \"com_t_11\", \"eng_t_11\", \n",
    "        \"aca_t_11\", \"saf_s_11\", \"com_s_11\", \"eng_s_11\", \"aca_s_11\", \"saf_tot_11\", \n",
    "        \"com_tot_11\", \"eng_tot_11\", \"aca_tot_11\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "survey = survey[survey_fields]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['ap_2010', 'class_size', 'demographics', 'graduation', 'hs_directory', 'sat_results'])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"survey\"] = survey"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['ap_2010', 'class_size', 'demographics', 'graduation', 'hs_directory', 'sat_results', 'survey'])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data['hs_directory'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['hs_directory'][\"DBN\"] = data['hs_directory'][\"dbn\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data['hs_directory'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>CSD</th>\n",
       "      <th>BOROUGH</th>\n",
       "      <th>SCHOOL CODE</th>\n",
       "      <th>SCHOOL NAME</th>\n",
       "      <th>GRADE</th>\n",
       "      <th>PROGRAM TYPE</th>\n",
       "      <th>CORE SUBJECT (MS CORE and 9-12 ONLY)</th>\n",
       "      <th>CORE COURSE (MS CORE and 9-12 ONLY)</th>\n",
       "      <th>SERVICE CATEGORY(K-9* ONLY)</th>\n",
       "      <th>NUMBER OF STUDENTS / SEATS FILLED</th>\n",
       "      <th>NUMBER OF SECTIONS</th>\n",
       "      <th>AVERAGE CLASS SIZE</th>\n",
       "      <th>SIZE OF SMALLEST CLASS</th>\n",
       "      <th>SIZE OF LARGEST CLASS</th>\n",
       "      <th>DATA SOURCE</th>\n",
       "      <th>SCHOOLWIDE PUPIL-TEACHER RATIO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>M015</td>\n",
       "      <td>P.S. 015 Roberto Clemente</td>\n",
       "      <td>0K</td>\n",
       "      <td>GEN ED</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>ATS</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CSD BOROUGH SCHOOL CODE                SCHOOL NAME GRADE  PROGRAM TYPE  \\\n",
       "0    1       M        M015  P.S. 015 Roberto Clemente     0K       GEN ED   \n",
       "\n",
       "  CORE SUBJECT (MS CORE and 9-12 ONLY) CORE COURSE (MS CORE and 9-12 ONLY)  \\\n",
       "0                                    -                                   -   \n",
       "\n",
       "  SERVICE CATEGORY(K-9* ONLY)  NUMBER OF STUDENTS / SEATS FILLED  \\\n",
       "0                           -                               19.0   \n",
       "\n",
       "   NUMBER OF SECTIONS  AVERAGE CLASS SIZE  SIZE OF SMALLEST CLASS  \\\n",
       "0                 1.0                19.0                    19.0   \n",
       "\n",
       "   SIZE OF LARGEST CLASS DATA SOURCE  SCHOOLWIDE PUPIL-TEACHER RATIO  \n",
       "0                   19.0         ATS                             NaN  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['class_size'].head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['class_size'][\"padded_csd\"] = data['class_size'][\"CSD\"].astype(str).str.zfill(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# \"Waqa\".zfill(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    01\n",
       "1    01\n",
       "2    01\n",
       "3    01\n",
       "4    01\n",
       "Name: padded_csd, dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['class_size'][\"padded_csd\"].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['class_size'][\"DBN\"] = data['class_size'][\"padded_csd\"] + data['class_size'][\"SCHOOL CODE\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    01M015\n",
       "1    01M015\n",
       "2    01M015\n",
       "3    01M015\n",
       "4    01M015\n",
       "Name: DBN, dtype: object"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['class_size'][\"DBN\"].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>DBN</th>\n",
       "      <th>SCHOOL NAME</th>\n",
       "      <th>Num of SAT Test Takers</th>\n",
       "      <th>SAT Critical Reading Avg. Score</th>\n",
       "      <th>SAT Math Avg. Score</th>\n",
       "      <th>SAT Writing Avg. Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01M292</td>\n",
       "      <td>HENRY STREET SCHOOL FOR INTERNATIONAL STUDIES</td>\n",
       "      <td>29</td>\n",
       "      <td>355</td>\n",
       "      <td>404</td>\n",
       "      <td>363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01M448</td>\n",
       "      <td>UNIVERSITY NEIGHBORHOOD HIGH SCHOOL</td>\n",
       "      <td>91</td>\n",
       "      <td>383</td>\n",
       "      <td>423</td>\n",
       "      <td>366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01M450</td>\n",
       "      <td>EAST SIDE COMMUNITY SCHOOL</td>\n",
       "      <td>70</td>\n",
       "      <td>377</td>\n",
       "      <td>402</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01M458</td>\n",
       "      <td>FORSYTH SATELLITE ACADEMY</td>\n",
       "      <td>7</td>\n",
       "      <td>414</td>\n",
       "      <td>401</td>\n",
       "      <td>359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01M509</td>\n",
       "      <td>MARTA VALLE HIGH SCHOOL</td>\n",
       "      <td>44</td>\n",
       "      <td>390</td>\n",
       "      <td>433</td>\n",
       "      <td>384</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      DBN                                    SCHOOL NAME  \\\n",
       "0  01M292  HENRY STREET SCHOOL FOR INTERNATIONAL STUDIES   \n",
       "1  01M448            UNIVERSITY NEIGHBORHOOD HIGH SCHOOL   \n",
       "2  01M450                     EAST SIDE COMMUNITY SCHOOL   \n",
       "3  01M458                      FORSYTH SATELLITE ACADEMY   \n",
       "4  01M509                        MARTA VALLE HIGH SCHOOL   \n",
       "\n",
       "  Num of SAT Test Takers SAT Critical Reading Avg. Score SAT Math Avg. Score  \\\n",
       "0                     29                             355                 404   \n",
       "1                     91                             383                 423   \n",
       "2                     70                             377                 402   \n",
       "3                      7                             414                 401   \n",
       "4                     44                             390                 433   \n",
       "\n",
       "  SAT Writing Avg. Score  \n",
       "0                    363  \n",
       "1                    366  \n",
       "2                    370  \n",
       "3                    359  \n",
       "4                    384  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"sat_results\"].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 478 entries, 0 to 477\n",
      "Data columns (total 6 columns):\n",
      " #   Column                           Non-Null Count  Dtype \n",
      "---  ------                           --------------  ----- \n",
      " 0   DBN                              478 non-null    object\n",
      " 1   SCHOOL NAME                      478 non-null    object\n",
      " 2   Num of SAT Test Takers           478 non-null    object\n",
      " 3   SAT Critical Reading Avg. Score  478 non-null    object\n",
      " 4   SAT Math Avg. Score              478 non-null    object\n",
      " 5   SAT Writing Avg. Score           478 non-null    object\n",
      "dtypes: object(6)\n",
      "memory usage: 11.3+ KB\n"
     ]
    }
   ],
   "source": [
    "data[\"sat_results\"].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = [\"SAT Critical Reading Avg. Score\",\"SAT Math Avg. Score\",\"SAT Writing Avg. Score\"]\n",
    "\n",
    "for c in cols:\n",
    "    data[\"sat_results\"][c] = pd.to_numeric(data[\"sat_results\"][c], errors = \"coerce\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 478 entries, 0 to 477\n",
      "Data columns (total 6 columns):\n",
      " #   Column                           Non-Null Count  Dtype  \n",
      "---  ------                           --------------  -----  \n",
      " 0   DBN                              478 non-null    object \n",
      " 1   SCHOOL NAME                      478 non-null    object \n",
      " 2   Num of SAT Test Takers           478 non-null    object \n",
      " 3   SAT Critical Reading Avg. Score  421 non-null    float64\n",
      " 4   SAT Math Avg. Score              421 non-null    float64\n",
      " 5   SAT Writing Avg. Score           421 non-null    float64\n",
      "dtypes: float64(3), object(3)\n",
      "memory usage: 16.9+ KB\n"
     ]
    }
   ],
   "source": [
    "data[\"sat_results\"].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"sat_results\"][\"sat_score\"] = data[\"sat_results\"][cols].sum(axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>DBN</th>\n",
       "      <th>SCHOOL NAME</th>\n",
       "      <th>Num of SAT Test Takers</th>\n",
       "      <th>SAT Critical Reading Avg. Score</th>\n",
       "      <th>SAT Math Avg. Score</th>\n",
       "      <th>SAT Writing Avg. Score</th>\n",
       "      <th>sat_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01M292</td>\n",
       "      <td>HENRY STREET SCHOOL FOR INTERNATIONAL STUDIES</td>\n",
       "      <td>29</td>\n",
       "      <td>355.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>363.0</td>\n",
       "      <td>1122.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01M448</td>\n",
       "      <td>UNIVERSITY NEIGHBORHOOD HIGH SCHOOL</td>\n",
       "      <td>91</td>\n",
       "      <td>383.0</td>\n",
       "      <td>423.0</td>\n",
       "      <td>366.0</td>\n",
       "      <td>1172.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01M450</td>\n",
       "      <td>EAST SIDE COMMUNITY SCHOOL</td>\n",
       "      <td>70</td>\n",
       "      <td>377.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>370.0</td>\n",
       "      <td>1149.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01M458</td>\n",
       "      <td>FORSYTH SATELLITE ACADEMY</td>\n",
       "      <td>7</td>\n",
       "      <td>414.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>359.0</td>\n",
       "      <td>1174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01M509</td>\n",
       "      <td>MARTA VALLE HIGH SCHOOL</td>\n",
       "      <td>44</td>\n",
       "      <td>390.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>384.0</td>\n",
       "      <td>1207.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      DBN                                    SCHOOL NAME  \\\n",
       "0  01M292  HENRY STREET SCHOOL FOR INTERNATIONAL STUDIES   \n",
       "1  01M448            UNIVERSITY NEIGHBORHOOD HIGH SCHOOL   \n",
       "2  01M450                     EAST SIDE COMMUNITY SCHOOL   \n",
       "3  01M458                      FORSYTH SATELLITE ACADEMY   \n",
       "4  01M509                        MARTA VALLE HIGH SCHOOL   \n",
       "\n",
       "  Num of SAT Test Takers  SAT Critical Reading Avg. Score  \\\n",
       "0                     29                            355.0   \n",
       "1                     91                            383.0   \n",
       "2                     70                            377.0   \n",
       "3                      7                            414.0   \n",
       "4                     44                            390.0   \n",
       "\n",
       "   SAT Math Avg. Score  SAT Writing Avg. Score  sat_score  \n",
       "0                404.0                   363.0     1122.0  \n",
       "1                423.0                   366.0     1172.0  \n",
       "2                402.0                   370.0     1149.0  \n",
       "3                401.0                   359.0     1174.0  \n",
       "4                433.0                   384.0     1207.0  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"sat_results\"].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          50 Avenue\\nX Brooklyn, NY 11223\\n(40.589238098, -73.981746524)\n",
       "1    284 Baltic Street\\nBrooklyn, NY 11201\\n(40.685451806, -73.993491465)\n",
       "Name: Location 1, dtype: object"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.options.display.max_colwidth = None\n",
    "data['hs_directory'][\"Location 1\"].head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.589238098</td>\n",
       "      <td>-73.981746524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.685451806</td>\n",
       "      <td>-73.993491465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.744149536</td>\n",
       "      <td>-73.933626741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.815230365</td>\n",
       "      <td>-73.955201206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40.601989336</td>\n",
       "      <td>-73.762834323</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              0               1\n",
       "0  40.589238098   -73.981746524\n",
       "1  40.685451806   -73.993491465\n",
       "2  40.744149536   -73.933626741\n",
       "3  40.815230365   -73.955201206\n",
       "4  40.601989336   -73.762834323"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pattern = r'\\((.+)\\)'\n",
    "\n",
    "coordinates = data['hs_directory'][\"Location 1\"].str.extract(pattern)[0].str.split(\",\", expand = True)\n",
    "coordinates.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['hs_directory'][\"lat\"] = coordinates[0]\n",
    "data['hs_directory'][\"lon\"] = coordinates[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>dbn</th>\n",
       "      <th>school_name</th>\n",
       "      <th>borough</th>\n",
       "      <th>building_code</th>\n",
       "      <th>phone_number</th>\n",
       "      <th>fax_number</th>\n",
       "      <th>grade_span_min</th>\n",
       "      <th>grade_span_max</th>\n",
       "      <th>expgrade_span_min</th>\n",
       "      <th>expgrade_span_max</th>\n",
       "      <th>...</th>\n",
       "      <th>Location 1</th>\n",
       "      <th>Community Board</th>\n",
       "      <th>Council District</th>\n",
       "      <th>Census Tract</th>\n",
       "      <th>BIN</th>\n",
       "      <th>BBL</th>\n",
       "      <th>NTA</th>\n",
       "      <th>DBN</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21K540</td>\n",
       "      <td>John Dewey High School</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>K540</td>\n",
       "      <td>718-373-6400</td>\n",
       "      <td>718-266-4385</td>\n",
       "      <td>9.0</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>50 Avenue\\nX Brooklyn, NY 11223\\n(40.589238098, -73.981746524)</td>\n",
       "      <td>13.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>3194998.0</td>\n",
       "      <td>3.071850e+09</td>\n",
       "      <td>Gravesend</td>\n",
       "      <td>21K540</td>\n",
       "      <td>40.589238098</td>\n",
       "      <td>-73.981746524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15K429</td>\n",
       "      <td>Brooklyn School for Global Studies</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>K293</td>\n",
       "      <td>718-694-9741</td>\n",
       "      <td>718-694-9745</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>284 Baltic Street\\nBrooklyn, NY 11201\\n(40.685451806, -73.993491465)</td>\n",
       "      <td>6.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>3006401.0</td>\n",
       "      <td>3.004020e+09</td>\n",
       "      <td>DUMBO-Vinegar Hill-Downtown Brooklyn-Boerum Hill</td>\n",
       "      <td>15K429</td>\n",
       "      <td>40.685451806</td>\n",
       "      <td>-73.993491465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>24Q530</td>\n",
       "      <td>International High School at LaGuardia Community College</td>\n",
       "      <td>Queens</td>\n",
       "      <td>Q520</td>\n",
       "      <td>718-392-3433</td>\n",
       "      <td>718-392-3443</td>\n",
       "      <td>9.0</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>45 35 Van Dam Street\\nLong Island City, NY 11101\\n(40.744149536, -73.933626741)</td>\n",
       "      <td>2.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>4003442.0</td>\n",
       "      <td>4.002490e+09</td>\n",
       "      <td>Hunters Point-Sunnyside-West Maspeth</td>\n",
       "      <td>24Q530</td>\n",
       "      <td>40.744149536</td>\n",
       "      <td>-73.933626741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05M367</td>\n",
       "      <td>Academy for Social Action: A College Board School</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>M043</td>\n",
       "      <td>212-234-3102</td>\n",
       "      <td>212-234-8597</td>\n",
       "      <td>9.0</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>509 West 129 Street\\nNew York, NY 10027\\n(40.815230365, -73.955201206)</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>1059723.0</td>\n",
       "      <td>1.019840e+09</td>\n",
       "      <td>Manhattanville</td>\n",
       "      <td>05M367</td>\n",
       "      <td>40.815230365</td>\n",
       "      <td>-73.955201206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27Q260</td>\n",
       "      <td>Frederick Douglass Academy VI High School</td>\n",
       "      <td>Queens</td>\n",
       "      <td>Q465</td>\n",
       "      <td>718-471-2154</td>\n",
       "      <td>718-471-2890</td>\n",
       "      <td>9.0</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8 21 Bay 25 Street\\nFar Rockaway, NY 11691\\n(40.601989336, -73.762834323)</td>\n",
       "      <td>14.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>100802.0</td>\n",
       "      <td>4300730.0</td>\n",
       "      <td>4.157360e+09</td>\n",
       "      <td>Far Rockaway-Bayswater</td>\n",
       "      <td>27Q260</td>\n",
       "      <td>40.601989336</td>\n",
       "      <td>-73.762834323</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 67 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      dbn                                               school_name  \\\n",
       "0  21K540                                    John Dewey High School   \n",
       "1  15K429                        Brooklyn School for Global Studies   \n",
       "2  24Q530  International High School at LaGuardia Community College   \n",
       "3  05M367         Academy for Social Action: A College Board School   \n",
       "4  27Q260                 Frederick Douglass Academy VI High School   \n",
       "\n",
       "     borough building_code  phone_number    fax_number  grade_span_min  \\\n",
       "0   Brooklyn          K540  718-373-6400  718-266-4385             9.0   \n",
       "1   Brooklyn          K293  718-694-9741  718-694-9745             6.0   \n",
       "2     Queens          Q520  718-392-3433  718-392-3443             9.0   \n",
       "3  Manhattan          M043  212-234-3102  212-234-8597             9.0   \n",
       "4     Queens          Q465  718-471-2154  718-471-2890             9.0   \n",
       "\n",
       "   grade_span_max  expgrade_span_min  expgrade_span_max  ...  \\\n",
       "0              12                NaN                NaN  ...   \n",
       "1              12                NaN                NaN  ...   \n",
       "2              12                NaN                NaN  ...   \n",
       "3              12                NaN                NaN  ...   \n",
       "4              12                NaN                NaN  ...   \n",
       "\n",
       "                                                                        Location 1  \\\n",
       "0                   50 Avenue\\nX Brooklyn, NY 11223\\n(40.589238098, -73.981746524)   \n",
       "1             284 Baltic Street\\nBrooklyn, NY 11201\\n(40.685451806, -73.993491465)   \n",
       "2  45 35 Van Dam Street\\nLong Island City, NY 11101\\n(40.744149536, -73.933626741)   \n",
       "3           509 West 129 Street\\nNew York, NY 10027\\n(40.815230365, -73.955201206)   \n",
       "4        8 21 Bay 25 Street\\nFar Rockaway, NY 11691\\n(40.601989336, -73.762834323)   \n",
       "\n",
       "  Community Board Council District Census Tract        BIN           BBL  \\\n",
       "0            13.0             47.0        308.0  3194998.0  3.071850e+09   \n",
       "1             6.0             33.0         69.0  3006401.0  3.004020e+09   \n",
       "2             2.0             26.0        179.0  4003442.0  4.002490e+09   \n",
       "3             9.0              7.0        219.0  1059723.0  1.019840e+09   \n",
       "4            14.0             31.0     100802.0  4300730.0  4.157360e+09   \n",
       "\n",
       "                                                                           NTA  \\\n",
       "0  Gravesend                                                                     \n",
       "1  DUMBO-Vinegar Hill-Downtown Brooklyn-Boerum Hill                              \n",
       "2  Hunters Point-Sunnyside-West Maspeth                                          \n",
       "3  Manhattanville                                                                \n",
       "4  Far Rockaway-Bayswater                                                        \n",
       "\n",
       "      DBN           lat             lon  \n",
       "0  21K540  40.589238098   -73.981746524  \n",
       "1  15K429  40.685451806   -73.993491465  \n",
       "2  24Q530  40.744149536   -73.933626741  \n",
       "3  05M367  40.815230365   -73.955201206  \n",
       "4  27Q260  40.601989336   -73.762834323  \n",
       "\n",
       "[5 rows x 67 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['hs_directory'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# coor = data['hs_directory'][\"Location 1\"].str.extract(pattern)[0].str.split(\",\")\n",
    "# coor.head().str[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Transformation / Combining"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['0K', '01', '02', '03', '04', '05', '0K-09', nan, '06', '07', '08',\n",
       "       'MS Core', '09-12', '09'], dtype=object)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['class_size']['GRADE '].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['GEN ED', 'CTT', 'SPEC ED', nan, 'G&T'], dtype=object)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['class_size'][\"PROGRAM TYPE\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "class_size = data['class_size']\n",
    "\n",
    "class_size = class_size[(class_size['GRADE '] == '09-12') & (class_size[\"PROGRAM TYPE\"] == 'GEN ED')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>CSD</th>\n",
       "      <th>BOROUGH</th>\n",
       "      <th>SCHOOL CODE</th>\n",
       "      <th>SCHOOL NAME</th>\n",
       "      <th>GRADE</th>\n",
       "      <th>PROGRAM TYPE</th>\n",
       "      <th>CORE SUBJECT (MS CORE and 9-12 ONLY)</th>\n",
       "      <th>CORE COURSE (MS CORE and 9-12 ONLY)</th>\n",
       "      <th>SERVICE CATEGORY(K-9* ONLY)</th>\n",
       "      <th>NUMBER OF STUDENTS / SEATS FILLED</th>\n",
       "      <th>NUMBER OF SECTIONS</th>\n",
       "      <th>AVERAGE CLASS SIZE</th>\n",
       "      <th>SIZE OF SMALLEST CLASS</th>\n",
       "      <th>SIZE OF LARGEST CLASS</th>\n",
       "      <th>DATA SOURCE</th>\n",
       "      <th>SCHOOLWIDE PUPIL-TEACHER RATIO</th>\n",
       "      <th>padded_csd</th>\n",
       "      <th>DBN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>M292</td>\n",
       "      <td>Henry Street School for International Studies</td>\n",
       "      <td>09-12</td>\n",
       "      <td>GEN ED</td>\n",
       "      <td>ENGLISH</td>\n",
       "      <td>English 9</td>\n",
       "      <td>-</td>\n",
       "      <td>63.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>STARS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>01M292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>M292</td>\n",
       "      <td>Henry Street School for International Studies</td>\n",
       "      <td>09-12</td>\n",
       "      <td>GEN ED</td>\n",
       "      <td>ENGLISH</td>\n",
       "      <td>English 10</td>\n",
       "      <td>-</td>\n",
       "      <td>79.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>26.3</td>\n",
       "      <td>24.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>STARS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>01M292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>M292</td>\n",
       "      <td>Henry Street School for International Studies</td>\n",
       "      <td>09-12</td>\n",
       "      <td>GEN ED</td>\n",
       "      <td>ENGLISH</td>\n",
       "      <td>English 11</td>\n",
       "      <td>-</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>STARS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>01M292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>M292</td>\n",
       "      <td>Henry Street School for International Studies</td>\n",
       "      <td>09-12</td>\n",
       "      <td>GEN ED</td>\n",
       "      <td>ENGLISH</td>\n",
       "      <td>English 12</td>\n",
       "      <td>-</td>\n",
       "      <td>69.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>STARS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>01M292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>M292</td>\n",
       "      <td>Henry Street School for International Studies</td>\n",
       "      <td>09-12</td>\n",
       "      <td>GEN ED</td>\n",
       "      <td>MATH</td>\n",
       "      <td>Integrated Algebra</td>\n",
       "      <td>-</td>\n",
       "      <td>53.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17.7</td>\n",
       "      <td>16.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>STARS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01</td>\n",
       "      <td>01M292</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     CSD BOROUGH SCHOOL CODE                                    SCHOOL NAME  \\\n",
       "225    1       M        M292  Henry Street School for International Studies   \n",
       "226    1       M        M292  Henry Street School for International Studies   \n",
       "227    1       M        M292  Henry Street School for International Studies   \n",
       "228    1       M        M292  Henry Street School for International Studies   \n",
       "229    1       M        M292  Henry Street School for International Studies   \n",
       "\n",
       "    GRADE  PROGRAM TYPE CORE SUBJECT (MS CORE and 9-12 ONLY)  \\\n",
       "225  09-12       GEN ED                              ENGLISH   \n",
       "226  09-12       GEN ED                              ENGLISH   \n",
       "227  09-12       GEN ED                              ENGLISH   \n",
       "228  09-12       GEN ED                              ENGLISH   \n",
       "229  09-12       GEN ED                                 MATH   \n",
       "\n",
       "    CORE COURSE (MS CORE and 9-12 ONLY) SERVICE CATEGORY(K-9* ONLY)  \\\n",
       "225                           English 9                           -   \n",
       "226                          English 10                           -   \n",
       "227                          English 11                           -   \n",
       "228                          English 12                           -   \n",
       "229                  Integrated Algebra                           -   \n",
       "\n",
       "     NUMBER OF STUDENTS / SEATS FILLED  NUMBER OF SECTIONS  \\\n",
       "225                               63.0                 3.0   \n",
       "226                               79.0                 3.0   \n",
       "227                               38.0                 2.0   \n",
       "228                               69.0                 3.0   \n",
       "229                               53.0                 3.0   \n",
       "\n",
       "     AVERAGE CLASS SIZE  SIZE OF SMALLEST CLASS  SIZE OF LARGEST CLASS  \\\n",
       "225                21.0                    19.0                   25.0   \n",
       "226                26.3                    24.0                   31.0   \n",
       "227                19.0                    16.0                   22.0   \n",
       "228                23.0                    13.0                   30.0   \n",
       "229                17.7                    16.0                   21.0   \n",
       "\n",
       "    DATA SOURCE  SCHOOLWIDE PUPIL-TEACHER RATIO padded_csd     DBN  \n",
       "225       STARS                             NaN         01  01M292  \n",
       "226       STARS                             NaN         01  01M292  \n",
       "227       STARS                             NaN         01  01M292  \n",
       "228       STARS                             NaN         01  01M292  \n",
       "229       STARS                             NaN         01  01M292  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class_size.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "class_size = class_size.groupby(\"DBN\").agg(\"mean\").reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['class_size'] = class_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([20052006, 20062007, 20072008, 20082009, 20092010, 20102011,\n",
       "       20112012], dtype=int64)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['demographics'][\"schoolyear\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "demographics = data['demographics']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "demographics = demographics[demographics[\"schoolyear\"] == 20112012]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['demographics'] = demographics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "graduation = data['graduation']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Total Cohort', 'Asian', 'Male', 'Black',\n",
       "       'English Language Learners', 'Hispanic', 'White',\n",
       "       'English Proficient Students', 'Special Education Students',\n",
       "       'General Education Students', 'Female'], dtype=object)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graduation[\"Demographic\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2003', '2004', '2005', '2006', '2006 Aug', '2001', '2002'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graduation[\"Cohort\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "graduation = graduation[(graduation[\"Demographic\"] == 'Total Cohort') & (graduation[\"Cohort\"] == '2006')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "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>Demographic</th>\n",
       "      <th>DBN</th>\n",
       "      <th>School Name</th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads - n</th>\n",
       "      <th>Total Grads - % of cohort</th>\n",
       "      <th>Total Regents - n</th>\n",
       "      <th>Total Regents - % of cohort</th>\n",
       "      <th>Total Regents - % of grads</th>\n",
       "      <th>...</th>\n",
       "      <th>Regents w/o Advanced - n</th>\n",
       "      <th>Regents w/o Advanced - % of cohort</th>\n",
       "      <th>Regents w/o Advanced - % of grads</th>\n",
       "      <th>Local - n</th>\n",
       "      <th>Local - % of cohort</th>\n",
       "      <th>Local - % of grads</th>\n",
       "      <th>Still Enrolled - n</th>\n",
       "      <th>Still Enrolled - % of cohort</th>\n",
       "      <th>Dropped Out - n</th>\n",
       "      <th>Dropped Out - % of cohort</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Total Cohort</td>\n",
       "      <td>01M292</td>\n",
       "      <td>HENRY STREET SCHOOL FOR INTERNATIONAL</td>\n",
       "      <td>2006</td>\n",
       "      <td>78</td>\n",
       "      <td>43</td>\n",
       "      <td>55.1</td>\n",
       "      <td>36</td>\n",
       "      <td>46.2</td>\n",
       "      <td>83.7</td>\n",
       "      <td>...</td>\n",
       "      <td>36</td>\n",
       "      <td>46.2</td>\n",
       "      <td>83.7</td>\n",
       "      <td>7</td>\n",
       "      <td>9.0</td>\n",
       "      <td>16.3</td>\n",
       "      <td>16</td>\n",
       "      <td>20.5</td>\n",
       "      <td>11</td>\n",
       "      <td>14.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Total Cohort</td>\n",
       "      <td>01M448</td>\n",
       "      <td>UNIVERSITY NEIGHBORHOOD HIGH SCHOOL</td>\n",
       "      <td>2006</td>\n",
       "      <td>124</td>\n",
       "      <td>53</td>\n",
       "      <td>42.7</td>\n",
       "      <td>42</td>\n",
       "      <td>33.9</td>\n",
       "      <td>79.2</td>\n",
       "      <td>...</td>\n",
       "      <td>34</td>\n",
       "      <td>27.4</td>\n",
       "      <td>64.2</td>\n",
       "      <td>11</td>\n",
       "      <td>8.9</td>\n",
       "      <td>20.8</td>\n",
       "      <td>46</td>\n",
       "      <td>37.1</td>\n",
       "      <td>20</td>\n",
       "      <td>16.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Total Cohort</td>\n",
       "      <td>01M450</td>\n",
       "      <td>EAST SIDE COMMUNITY SCHOOL</td>\n",
       "      <td>2006</td>\n",
       "      <td>90</td>\n",
       "      <td>70</td>\n",
       "      <td>77.8</td>\n",
       "      <td>67</td>\n",
       "      <td>74.4</td>\n",
       "      <td>95.7</td>\n",
       "      <td>...</td>\n",
       "      <td>67</td>\n",
       "      <td>74.4</td>\n",
       "      <td>95.7</td>\n",
       "      <td>3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>4.3</td>\n",
       "      <td>15</td>\n",
       "      <td>16.7</td>\n",
       "      <td>5</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Total Cohort</td>\n",
       "      <td>01M509</td>\n",
       "      <td>MARTA VALLE HIGH SCHOOL</td>\n",
       "      <td>2006</td>\n",
       "      <td>84</td>\n",
       "      <td>47</td>\n",
       "      <td>56.0</td>\n",
       "      <td>40</td>\n",
       "      <td>47.6</td>\n",
       "      <td>85.1</td>\n",
       "      <td>...</td>\n",
       "      <td>23</td>\n",
       "      <td>27.4</td>\n",
       "      <td>48.9</td>\n",
       "      <td>7</td>\n",
       "      <td>8.3</td>\n",
       "      <td>14.9</td>\n",
       "      <td>25</td>\n",
       "      <td>29.8</td>\n",
       "      <td>5</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Total Cohort</td>\n",
       "      <td>01M515</td>\n",
       "      <td>LOWER EAST SIDE PREPARATORY HIGH SCHO</td>\n",
       "      <td>2006</td>\n",
       "      <td>193</td>\n",
       "      <td>105</td>\n",
       "      <td>54.4</td>\n",
       "      <td>91</td>\n",
       "      <td>47.2</td>\n",
       "      <td>86.7</td>\n",
       "      <td>...</td>\n",
       "      <td>22</td>\n",
       "      <td>11.4</td>\n",
       "      <td>21.0</td>\n",
       "      <td>14</td>\n",
       "      <td>7.3</td>\n",
       "      <td>13.3</td>\n",
       "      <td>53</td>\n",
       "      <td>27.5</td>\n",
       "      <td>35</td>\n",
       "      <td>18.1</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>2482</th>\n",
       "      <td>Total Cohort</td>\n",
       "      <td>32K549</td>\n",
       "      <td>BUSHWICK SCHOOL FOR SOCIAL JUSTICE</td>\n",
       "      <td>2006</td>\n",
       "      <td>97</td>\n",
       "      <td>74</td>\n",
       "      <td>76.3</td>\n",
       "      <td>59</td>\n",
       "      <td>60.8</td>\n",
       "      <td>79.7</td>\n",
       "      <td>...</td>\n",
       "      <td>54</td>\n",
       "      <td>55.7</td>\n",
       "      <td>73.0</td>\n",
       "      <td>15</td>\n",
       "      <td>15.5</td>\n",
       "      <td>20.3</td>\n",
       "      <td>12</td>\n",
       "      <td>12.4</td>\n",
       "      <td>9</td>\n",
       "      <td>9.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2489</th>\n",
       "      <td>Total Cohort</td>\n",
       "      <td>32K552</td>\n",
       "      <td>ACADEMY OF URBAN PLANNING</td>\n",
       "      <td>2006</td>\n",
       "      <td>115</td>\n",
       "      <td>55</td>\n",
       "      <td>47.8</td>\n",
       "      <td>41</td>\n",
       "      <td>35.7</td>\n",
       "      <td>74.5</td>\n",
       "      <td>...</td>\n",
       "      <td>40</td>\n",
       "      <td>34.8</td>\n",
       "      <td>72.7</td>\n",
       "      <td>14</td>\n",
       "      <td>12.2</td>\n",
       "      <td>25.5</td>\n",
       "      <td>44</td>\n",
       "      <td>38.3</td>\n",
       "      <td>10</td>\n",
       "      <td>8.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2495</th>\n",
       "      <td>Total Cohort</td>\n",
       "      <td>32K554</td>\n",
       "      <td>ALL CITY LEADERSHIP SECONDARY SCHOOL</td>\n",
       "      <td>2006</td>\n",
       "      <td>43</td>\n",
       "      <td>36</td>\n",
       "      <td>83.7</td>\n",
       "      <td>23</td>\n",
       "      <td>53.5</td>\n",
       "      <td>63.9</td>\n",
       "      <td>...</td>\n",
       "      <td>18</td>\n",
       "      <td>41.9</td>\n",
       "      <td>50.0</td>\n",
       "      <td>13</td>\n",
       "      <td>30.2</td>\n",
       "      <td>36.1</td>\n",
       "      <td>5</td>\n",
       "      <td>11.6</td>\n",
       "      <td>2</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2502</th>\n",
       "      <td>Total Cohort</td>\n",
       "      <td>32K556</td>\n",
       "      <td>BUSHWICK LEADERS HIGH SCHOOL FOR ACAD</td>\n",
       "      <td>2006</td>\n",
       "      <td>117</td>\n",
       "      <td>65</td>\n",
       "      <td>55.6</td>\n",
       "      <td>28</td>\n",
       "      <td>23.9</td>\n",
       "      <td>43.1</td>\n",
       "      <td>...</td>\n",
       "      <td>23</td>\n",
       "      <td>19.7</td>\n",
       "      <td>35.4</td>\n",
       "      <td>37</td>\n",
       "      <td>31.6</td>\n",
       "      <td>56.9</td>\n",
       "      <td>24</td>\n",
       "      <td>20.5</td>\n",
       "      <td>22</td>\n",
       "      <td>18.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2509</th>\n",
       "      <td>Total Cohort</td>\n",
       "      <td>32K564</td>\n",
       "      <td>BUSHWICK COMMUNITY HIGH SCHOOL</td>\n",
       "      <td>2006</td>\n",
       "      <td>128</td>\n",
       "      <td>10</td>\n",
       "      <td>7.8</td>\n",
       "      <td>3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>30.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>30.0</td>\n",
       "      <td>7</td>\n",
       "      <td>5.5</td>\n",
       "      <td>70.0</td>\n",
       "      <td>63</td>\n",
       "      <td>49.2</td>\n",
       "      <td>52</td>\n",
       "      <td>40.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>405 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Demographic     DBN                            School Name Cohort  \\\n",
       "3     Total Cohort  01M292  HENRY STREET SCHOOL FOR INTERNATIONAL   2006   \n",
       "10    Total Cohort  01M448    UNIVERSITY NEIGHBORHOOD HIGH SCHOOL   2006   \n",
       "17    Total Cohort  01M450             EAST SIDE COMMUNITY SCHOOL   2006   \n",
       "24    Total Cohort  01M509                MARTA VALLE HIGH SCHOOL   2006   \n",
       "31    Total Cohort  01M515  LOWER EAST SIDE PREPARATORY HIGH SCHO   2006   \n",
       "...            ...     ...                                    ...    ...   \n",
       "2482  Total Cohort  32K549     BUSHWICK SCHOOL FOR SOCIAL JUSTICE   2006   \n",
       "2489  Total Cohort  32K552              ACADEMY OF URBAN PLANNING   2006   \n",
       "2495  Total Cohort  32K554   ALL CITY LEADERSHIP SECONDARY SCHOOL   2006   \n",
       "2502  Total Cohort  32K556  BUSHWICK LEADERS HIGH SCHOOL FOR ACAD   2006   \n",
       "2509  Total Cohort  32K564         BUSHWICK COMMUNITY HIGH SCHOOL   2006   \n",
       "\n",
       "      Total Cohort Total Grads - n  Total Grads - % of cohort  \\\n",
       "3               78              43                       55.1   \n",
       "10             124              53                       42.7   \n",
       "17              90              70                       77.8   \n",
       "24              84              47                       56.0   \n",
       "31             193             105                       54.4   \n",
       "...            ...             ...                        ...   \n",
       "2482            97              74                       76.3   \n",
       "2489           115              55                       47.8   \n",
       "2495            43              36                       83.7   \n",
       "2502           117              65                       55.6   \n",
       "2509           128              10                        7.8   \n",
       "\n",
       "     Total Regents - n  Total Regents - % of cohort  \\\n",
       "3                   36                         46.2   \n",
       "10                  42                         33.9   \n",
       "17                  67                         74.4   \n",
       "24                  40                         47.6   \n",
       "31                  91                         47.2   \n",
       "...                ...                          ...   \n",
       "2482                59                         60.8   \n",
       "2489                41                         35.7   \n",
       "2495                23                         53.5   \n",
       "2502                28                         23.9   \n",
       "2509                 3                          2.3   \n",
       "\n",
       "      Total Regents - % of grads  ... Regents w/o Advanced - n  \\\n",
       "3                           83.7  ...                       36   \n",
       "10                          79.2  ...                       34   \n",
       "17                          95.7  ...                       67   \n",
       "24                          85.1  ...                       23   \n",
       "31                          86.7  ...                       22   \n",
       "...                          ...  ...                      ...   \n",
       "2482                        79.7  ...                       54   \n",
       "2489                        74.5  ...                       40   \n",
       "2495                        63.9  ...                       18   \n",
       "2502                        43.1  ...                       23   \n",
       "2509                        30.0  ...                        3   \n",
       "\n",
       "      Regents w/o Advanced - % of cohort  Regents w/o Advanced - % of grads  \\\n",
       "3                                   46.2                               83.7   \n",
       "10                                  27.4                               64.2   \n",
       "17                                  74.4                               95.7   \n",
       "24                                  27.4                               48.9   \n",
       "31                                  11.4                               21.0   \n",
       "...                                  ...                                ...   \n",
       "2482                                55.7                               73.0   \n",
       "2489                                34.8                               72.7   \n",
       "2495                                41.9                               50.0   \n",
       "2502                                19.7                               35.4   \n",
       "2509                                 2.3                               30.0   \n",
       "\n",
       "     Local - n  Local - % of cohort  Local - % of grads Still Enrolled - n  \\\n",
       "3            7                  9.0                16.3                 16   \n",
       "10          11                  8.9                20.8                 46   \n",
       "17           3                  3.3                 4.3                 15   \n",
       "24           7                  8.3                14.9                 25   \n",
       "31          14                  7.3                13.3                 53   \n",
       "...        ...                  ...                 ...                ...   \n",
       "2482        15                 15.5                20.3                 12   \n",
       "2489        14                 12.2                25.5                 44   \n",
       "2495        13                 30.2                36.1                  5   \n",
       "2502        37                 31.6                56.9                 24   \n",
       "2509         7                  5.5                70.0                 63   \n",
       "\n",
       "      Still Enrolled - % of cohort  Dropped Out - n Dropped Out - % of cohort  \n",
       "3                             20.5               11                      14.1  \n",
       "10                            37.1               20                      16.1  \n",
       "17                            16.7                5                       5.6  \n",
       "24                            29.8                5                       6.0  \n",
       "31                            27.5               35                      18.1  \n",
       "...                            ...              ...                       ...  \n",
       "2482                          12.4                9                       9.3  \n",
       "2489                          38.3               10                       8.7  \n",
       "2495                          11.6                2                       4.7  \n",
       "2502                          20.5               22                      18.8  \n",
       "2509                          49.2               52                      40.6  \n",
       "\n",
       "[405 rows x 23 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graduation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['graduation'] = graduation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 258 entries, 0 to 257\n",
      "Data columns (total 5 columns):\n",
      " #   Column                                Non-Null Count  Dtype  \n",
      "---  ------                                --------------  -----  \n",
      " 0   DBN                                   258 non-null    object \n",
      " 1   SchoolName                            258 non-null    object \n",
      " 2   AP Test Takers                        233 non-null    float64\n",
      " 3   Total Exams Taken                     233 non-null    float64\n",
      " 4   Number of Exams with scores 3 4 or 5  151 non-null    float64\n",
      "dtypes: float64(3), object(2)\n",
      "memory usage: 8.1+ KB\n"
     ]
    }
   ],
   "source": [
    "data['ap_2010'].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['ap_2010', 'class_size', 'demographics', 'graduation', 'hs_directory', 'sat_results', 'survey'])"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined = pd.merge(data['sat_results'], data['ap_2010'] , on = \"DBN\", how = \"left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 405 entries, 3 to 2509\n",
      "Data columns (total 23 columns):\n",
      " #   Column                              Non-Null Count  Dtype  \n",
      "---  ------                              --------------  -----  \n",
      " 0   Demographic                         405 non-null    object \n",
      " 1   DBN                                 405 non-null    object \n",
      " 2   School Name                         405 non-null    object \n",
      " 3   Cohort                              405 non-null    object \n",
      " 4   Total Cohort                        405 non-null    int64  \n",
      " 5   Total Grads - n                     405 non-null    object \n",
      " 6   Total Grads - % of cohort           378 non-null    float64\n",
      " 7   Total Regents - n                   405 non-null    object \n",
      " 8   Total Regents - % of cohort         378 non-null    float64\n",
      " 9   Total Regents - % of grads          377 non-null    float64\n",
      " 10  Advanced Regents - n                405 non-null    object \n",
      " 11  Advanced Regents - % of cohort      378 non-null    float64\n",
      " 12  Advanced Regents - % of grads       377 non-null    float64\n",
      " 13  Regents w/o Advanced - n            405 non-null    object \n",
      " 14  Regents w/o Advanced - % of cohort  378 non-null    float64\n",
      " 15  Regents w/o Advanced - % of grads   377 non-null    float64\n",
      " 16  Local - n                           405 non-null    object \n",
      " 17  Local - % of cohort                 378 non-null    float64\n",
      " 18  Local - % of grads                  377 non-null    float64\n",
      " 19  Still Enrolled - n                  405 non-null    object \n",
      " 20  Still Enrolled - % of cohort        378 non-null    float64\n",
      " 21  Dropped Out - n                     405 non-null    object \n",
      " 22  Dropped Out - % of cohort           378 non-null    float64\n",
      "dtypes: float64(11), int64(1), object(11)\n",
      "memory usage: 58.5+ KB\n"
     ]
    }
   ],
   "source": [
    "data['graduation'].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined = pd.merge(combined, data['graduation'] , on = \"DBN\", how = \"left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = ['class_size', 'demographics','hs_directory', 'survey']\n",
    "\n",
    "for c in cols:\n",
    "    combined = pd.merge(combined, data[c] , on = \"DBN\", how = \"inner\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(363, 165)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(478, 7)"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['sat_results'].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 363 entries, 0 to 362\n",
      "Columns: 165 entries, DBN to aca_tot_11\n",
      "dtypes: float64(67), int64(12), object(86)\n",
      "memory usage: 348.8+ KB\n"
     ]
    }
   ],
   "source": [
    "combined.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DBN                                 0\n",
       "SCHOOL NAME                         0\n",
       "Num of SAT Test Takers              0\n",
       "SAT Critical Reading Avg. Score    28\n",
       "SAT Math Avg. Score                28\n",
       "                                   ..\n",
       "aca_s_11                            3\n",
       "saf_tot_11                          0\n",
       "com_tot_11                          0\n",
       "eng_tot_11                          0\n",
       "aca_tot_11                          0\n",
       "Length: 165, dtype: int64"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SAT Critical Reading Avg. Score     404.119403\n",
       "SAT Math Avg. Score                 419.656716\n",
       "SAT Writing Avg. Score              399.662687\n",
       "sat_score                          1129.068871\n",
       "AP Test Takers                      129.028846\n",
       "                                      ...     \n",
       "aca_s_11                              7.381389\n",
       "saf_tot_11                            7.311570\n",
       "com_tot_11                            6.747107\n",
       "eng_tot_11                            7.040220\n",
       "aca_tot_11                            7.569421\n",
       "Length: 85, dtype: float64"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean = combined.mean()\n",
    "mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined.fillna(mean, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DBN                                0\n",
       "SCHOOL NAME                        0\n",
       "Num of SAT Test Takers             0\n",
       "SAT Critical Reading Avg. Score    0\n",
       "SAT Math Avg. Score                0\n",
       "                                  ..\n",
       "aca_s_11                           0\n",
       "saf_tot_11                         0\n",
       "com_tot_11                         0\n",
       "eng_tot_11                         0\n",
       "aca_tot_11                         0\n",
       "Length: 165, dtype: int64"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined = combined.fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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>DBN</th>\n",
       "      <th>SCHOOL NAME</th>\n",
       "      <th>Num of SAT Test Takers</th>\n",
       "      <th>SAT Critical Reading Avg. Score</th>\n",
       "      <th>SAT Math Avg. Score</th>\n",
       "      <th>SAT Writing Avg. Score</th>\n",
       "      <th>sat_score</th>\n",
       "      <th>SchoolName</th>\n",
       "      <th>AP Test Takers</th>\n",
       "      <th>Total Exams Taken</th>\n",
       "      <th>...</th>\n",
       "      <th>eng_t_11</th>\n",
       "      <th>aca_t_11</th>\n",
       "      <th>saf_s_11</th>\n",
       "      <th>com_s_11</th>\n",
       "      <th>eng_s_11</th>\n",
       "      <th>aca_s_11</th>\n",
       "      <th>saf_tot_11</th>\n",
       "      <th>com_tot_11</th>\n",
       "      <th>eng_tot_11</th>\n",
       "      <th>aca_tot_11</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01M292</td>\n",
       "      <td>HENRY STREET SCHOOL FOR INTERNATIONAL STUDIES</td>\n",
       "      <td>29</td>\n",
       "      <td>355.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>363.0</td>\n",
       "      <td>1122.0</td>\n",
       "      <td>0</td>\n",
       "      <td>129.028846</td>\n",
       "      <td>197.038462</td>\n",
       "      <td>...</td>\n",
       "      <td>6.1</td>\n",
       "      <td>6.5</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.600000</td>\n",
       "      <td>6.100000</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>6.7</td>\n",
       "      <td>6.2</td>\n",
       "      <td>6.6</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01M448</td>\n",
       "      <td>UNIVERSITY NEIGHBORHOOD HIGH SCHOOL</td>\n",
       "      <td>91</td>\n",
       "      <td>383.0</td>\n",
       "      <td>423.0</td>\n",
       "      <td>366.0</td>\n",
       "      <td>1172.0</td>\n",
       "      <td>UNIVERSITY NEIGHBORHOOD H.S.</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.6</td>\n",
       "      <td>7.3</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.700000</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.8</td>\n",
       "      <td>6.3</td>\n",
       "      <td>6.7</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01M450</td>\n",
       "      <td>EAST SIDE COMMUNITY SCHOOL</td>\n",
       "      <td>70</td>\n",
       "      <td>377.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>370.0</td>\n",
       "      <td>1149.0</td>\n",
       "      <td>EAST SIDE COMMUNITY HS</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>6.611667</td>\n",
       "      <td>6.094722</td>\n",
       "      <td>6.620278</td>\n",
       "      <td>7.381389</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01M509</td>\n",
       "      <td>MARTA VALLE HIGH SCHOOL</td>\n",
       "      <td>44</td>\n",
       "      <td>390.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>384.0</td>\n",
       "      <td>1207.0</td>\n",
       "      <td>0</td>\n",
       "      <td>129.028846</td>\n",
       "      <td>197.038462</td>\n",
       "      <td>...</td>\n",
       "      <td>6.1</td>\n",
       "      <td>6.8</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.9</td>\n",
       "      <td>6.2</td>\n",
       "      <td>6.6</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01M539</td>\n",
       "      <td>NEW EXPLORATIONS INTO SCIENCE, TECHNOLOGY AND MATH HIGH SCHOOL</td>\n",
       "      <td>159</td>\n",
       "      <td>522.0</td>\n",
       "      <td>574.0</td>\n",
       "      <td>525.0</td>\n",
       "      <td>1621.0</td>\n",
       "      <td>NEW EXPLORATIONS SCI,TECH,MATH</td>\n",
       "      <td>255.000000</td>\n",
       "      <td>377.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5.9</td>\n",
       "      <td>7.3</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.700000</td>\n",
       "      <td>7.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>6.9</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 165 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      DBN                                                     SCHOOL NAME  \\\n",
       "0  01M292                   HENRY STREET SCHOOL FOR INTERNATIONAL STUDIES   \n",
       "1  01M448                             UNIVERSITY NEIGHBORHOOD HIGH SCHOOL   \n",
       "2  01M450                                      EAST SIDE COMMUNITY SCHOOL   \n",
       "3  01M509                                         MARTA VALLE HIGH SCHOOL   \n",
       "4  01M539  NEW EXPLORATIONS INTO SCIENCE, TECHNOLOGY AND MATH HIGH SCHOOL   \n",
       "\n",
       "  Num of SAT Test Takers  SAT Critical Reading Avg. Score  \\\n",
       "0                     29                            355.0   \n",
       "1                     91                            383.0   \n",
       "2                     70                            377.0   \n",
       "3                     44                            390.0   \n",
       "4                    159                            522.0   \n",
       "\n",
       "   SAT Math Avg. Score  SAT Writing Avg. Score  sat_score  \\\n",
       "0                404.0                   363.0     1122.0   \n",
       "1                423.0                   366.0     1172.0   \n",
       "2                402.0                   370.0     1149.0   \n",
       "3                433.0                   384.0     1207.0   \n",
       "4                574.0                   525.0     1621.0   \n",
       "\n",
       "                       SchoolName  AP Test Takers   Total Exams Taken  ...  \\\n",
       "0                               0       129.028846         197.038462  ...   \n",
       "1    UNIVERSITY NEIGHBORHOOD H.S.        39.000000          49.000000  ...   \n",
       "2          EAST SIDE COMMUNITY HS        19.000000          21.000000  ...   \n",
       "3                               0       129.028846         197.038462  ...   \n",
       "4  NEW EXPLORATIONS SCI,TECH,MATH       255.000000         377.000000  ...   \n",
       "\n",
       "   eng_t_11 aca_t_11  saf_s_11  com_s_11  eng_s_11  aca_s_11  saf_tot_11  \\\n",
       "0       6.1      6.5  6.000000  5.600000  6.100000  6.700000         6.7   \n",
       "1       6.6      7.3  6.000000  5.700000  6.300000  7.000000         6.8   \n",
       "2       8.0      8.8  6.611667  6.094722  6.620278  7.381389         7.9   \n",
       "3       6.1      6.8  6.400000  5.900000  6.400000  7.000000         6.9   \n",
       "4       5.9      7.3  7.300000  6.400000  7.000000  7.700000         7.8   \n",
       "\n",
       "  com_tot_11  eng_tot_11  aca_tot_11  \n",
       "0        6.2         6.6         7.0  \n",
       "1        6.3         6.7         7.2  \n",
       "2        7.9         7.9         8.4  \n",
       "3        6.2         6.6         7.0  \n",
       "4        6.7         6.9         7.8  \n",
       "\n",
       "[5 rows x 165 columns]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    01\n",
       "1    01\n",
       "2    01\n",
       "3    01\n",
       "4    01\n",
       "Name: school_dist, dtype: object"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined[\"school_dist\"] = combined[\"DBN\"].str[:2]\n",
    "combined[\"school_dist\"].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11',\n",
       "       '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22',\n",
       "       '23', '24', '25', '26', '27', '28', '29', '30', '31', '32'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined[\"school_dist\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(combined[\"school_dist\"].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "correlation = combined.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SAT Critical Reading Avg. Score         0.472399\n",
       "SAT Math Avg. Score                     0.465612\n",
       "SAT Writing Avg. Score                  0.472854\n",
       "sat_score                               1.000000\n",
       "AP Test Takers                          0.254925\n",
       "Total Exams Taken                       0.250432\n",
       "Number of Exams with scores 3 4 or 5    0.221759\n",
       "Total Cohort                            0.161070\n",
       "Total Grads - % of cohort               0.281050\n",
       "Total Regents - % of cohort             0.326649\n",
       "Total Regents - % of grads              0.248047\n",
       "Advanced Regents - % of cohort          0.375716\n",
       "Advanced Regents - % of grads           0.361502\n",
       "Regents w/o Advanced - % of cohort     -0.065460\n",
       "Regents w/o Advanced - % of grads      -0.218084\n",
       "Local - % of cohort                    -0.237538\n",
       "Local - % of grads                     -0.248047\n",
       "Still Enrolled - % of cohort           -0.239851\n",
       "Dropped Out - % of cohort              -0.211171\n",
       "CSD                                     0.080944\n",
       "NUMBER OF STUDENTS / SEATS FILLED       0.305352\n",
       "NUMBER OF SECTIONS                      0.296805\n",
       "AVERAGE CLASS SIZE                      0.326426\n",
       "SIZE OF SMALLEST CLASS                  0.073062\n",
       "SIZE OF LARGEST CLASS                   0.378741\n",
       "SCHOOLWIDE PUPIL-TEACHER RATIO               NaN\n",
       "schoolyear                                   NaN\n",
       "fl_percent                                   NaN\n",
       "frl_percent                            -0.417507\n",
       "total_enrollment                        0.308198\n",
       "ell_num                                 0.000867\n",
       "ell_percent                            -0.247900\n",
       "sped_num                                0.127662\n",
       "sped_percent                           -0.259227\n",
       "asian_num                               0.297773\n",
       "asian_per                               0.256366\n",
       "black_num                               0.158436\n",
       "black_per                              -0.085260\n",
       "hispanic_num                            0.118425\n",
       "hispanic_per                           -0.233828\n",
       "white_num                               0.279656\n",
       "white_per                               0.302345\n",
       "male_num                                0.289770\n",
       "male_per                               -0.006567\n",
       "female_num                              0.306849\n",
       "female_per                              0.006573\n",
       "grade_span_min                          0.085456\n",
       "grade_span_max                               NaN\n",
       "expgrade_span_min                            NaN\n",
       "expgrade_span_max                            NaN\n",
       "postcode                                0.024594\n",
       "total_students                          0.291860\n",
       "number_programs                         0.182280\n",
       "priority08                                   NaN\n",
       "priority09                                   NaN\n",
       "priority10                                   NaN\n",
       "Community Board                        -0.020646\n",
       "Council District                        0.032513\n",
       "Census Tract                            0.060709\n",
       "BIN                                     0.084705\n",
       "BBL                                     0.089536\n",
       "rr_s                                    0.073800\n",
       "rr_t                                   -0.102633\n",
       "rr_p                                   -0.048947\n",
       "N_s                                     0.347000\n",
       "N_t                                     0.294385\n",
       "N_p                                     0.334171\n",
       "saf_p_11                               -0.000165\n",
       "com_p_11                               -0.120304\n",
       "eng_p_11                               -0.000323\n",
       "aca_p_11                               -0.005153\n",
       "saf_t_11                                0.157688\n",
       "com_t_11                                0.004766\n",
       "eng_t_11                               -0.038643\n",
       "aca_t_11                                0.014868\n",
       "saf_s_11                                0.107336\n",
       "com_s_11                               -0.076879\n",
       "eng_s_11                                0.017488\n",
       "aca_s_11                                0.111054\n",
       "saf_tot_11                              0.119855\n",
       "com_tot_11                             -0.060478\n",
       "eng_tot_11                             -0.024619\n",
       "aca_tot_11                              0.037769\n",
       "Name: sat_score, dtype: float64"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.options.display.max_rows = None\n",
    "correlation[\"sat_score\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "combined.plot.scatter(\"total_enrollment\", \"sat_score\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "low_enrollment = combined[(combined[\"total_enrollment\"] < 1000) & (combined[\"sat_score\"] < 1000) ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "THE URBAN ASSEMBLY SCHOOL FOR GREEN CAREERS            1\n",
       "BRONX EARLY COLLEGE ACADEMY FOR TEACHING & LEARNING    1\n",
       "BRONX CAREER AND COLLEGE PREPARATORY HIGH SCHOOL       1\n",
       "YORK EARLY COLLEGE ACADEMY                             1\n",
       "PAN AMERICAN INTERNATIONAL HIGH SCHOOL                 1\n",
       "INTERNATIONAL HIGH SCHOOL AT PROSPECT HEIGHTS          1\n",
       "INTERNATIONAL COMMUNITY HIGH SCHOOL                    1\n",
       "KINGSBRIDGE INTERNATIONAL HIGH SCHOOL                  1\n",
       "HUDSON HIGH SCHOOL OF LEARNING TECHNOLOGIES            1\n",
       "BUSINESS OF SPORTS SCHOOL                              1\n",
       "Name: SCHOOL NAME, dtype: int64"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "low_enrollment[\"SCHOOL NAME\"].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                        29\n",
       "KINGSBRIDGE INTERNATIONAL HIGH SCHOOL     1\n",
       "INTERNATIONAL SCHOOL FOR LIBERAL ARTS     1\n",
       "BRONX INTERNATIONAL HIGH SCHOOL           1\n",
       "BROOKLYN INTERNATIONAL HIGH SCHOOL        1\n",
       "MULTICULTURAL HIGH SCHOOL                 1\n",
       "FOUNDATIONS ACADEMY                       1\n",
       "INTERNATIONAL COMMUNITY HIGH SCHOOL       1\n",
       "PAN AMERICAN INTERNATIONAL HIGH SCHOO     1\n",
       "INTERNATIONAL HIGH SCHOOL AT PROSPECT     1\n",
       "Name: School Name, dtype: int64"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "low_enrollment[\"School Name\"].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                        29\n",
       "KINGSBRIDGE INTERNATIONAL HIGH SCHOOL     1\n",
       "INTERNATIONAL SCHOOL FOR LIBERAL ARTS     1\n",
       "BRONX INTERNATIONAL HIGH SCHOOL           1\n",
       "BROOKLYN INTERNATIONAL HIGH SCHOOL        1\n",
       "MULTICULTURAL HIGH SCHOOL                 1\n",
       "FOUNDATIONS ACADEMY                       1\n",
       "INTERNATIONAL COMMUNITY HIGH SCHOOL       1\n",
       "PAN AMERICAN INTERNATIONAL HIGH SCHOO     1\n",
       "INTERNATIONAL HIGH SCHOOL AT PROSPECT     1\n",
       "IT TAKES A VILLAGE ACADEMY                1\n",
       "HIGH SCHOOL OF WORLD CULTURES             1\n",
       "Name: School Name, dtype: int64"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "low_enrollment[\"School Name\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined[\"lat\"] = pd.to_numeric(combined[\"lat\"], errors = \"coerce\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "combined[\"lon\"] = pd.to_numeric(combined[\"lon\"], errors = \"coerce\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mpl_toolkits.basemap import Basemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m = Basemap(projection = \"merc\", llcrnrlat = 40.496044, urcrnrlat = 40.915256, \n",
    "            llcrnrlon = -74.255735 ,urcrnrlon = -73.700272, resolution = \"i\")\n",
    "lat = combined[\"lat\"].tolist()\n",
    "lon = combined[\"lon\"].tolist()\n",
    "# x, y = m(lat, lon)\n",
    "m.drawmapboundary(fill_color = \"#85a6d9\")\n",
    "m.drawcoastlines(color = \"#6d5f47\", linewidth = .4)\n",
    "m.drawrivers(color = \"#6d5f47\",linewidth = .4)\n",
    "m.scatter(lon,lat, s = 10, latlon = True, zorder = 2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m = Basemap(projection = \"merc\", llcrnrlat = 40.496044, urcrnrlat = 40.915256, \n",
    "            llcrnrlon = -74.255735 ,urcrnrlon = -73.700272, resolution = \"i\")\n",
    "lat = combined[\"lat\"].tolist()\n",
    "lon = combined[\"lon\"].tolist()\n",
    "# x, y = m(lat, lon)\n",
    "m.drawmapboundary(fill_color = \"#85a6d9\")\n",
    "m.drawcoastlines(color = \"#6d5f47\", linewidth = .4)\n",
    "m.drawrivers(color = \"#6d5f47\",linewidth = .4)\n",
    "m.scatter(lon,lat, s = 20, latlon = True, zorder = 2, c = combined[\"ell_percent\"], cmap = \"summer\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "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>ell_percent</th>\n",
       "      <th>SCHOOL NAME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22.3</td>\n",
       "      <td>HENRY STREET SCHOOL FOR INTERNATIONAL STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21.1</td>\n",
       "      <td>UNIVERSITY NEIGHBORHOOD HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5.0</td>\n",
       "      <td>EAST SIDE COMMUNITY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.2</td>\n",
       "      <td>MARTA VALLE HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.2</td>\n",
       "      <td>NEW EXPLORATIONS INTO SCIENCE, TECHNOLOGY AND MATH HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.2</td>\n",
       "      <td>BARD HIGH SCHOOL EARLY COLLEGE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8.0</td>\n",
       "      <td>47 THE AMERICAN SIGN LANGUAGE AND ENGLISH SECONDARY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2.1</td>\n",
       "      <td>FOOD AND FINANCE HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3.8</td>\n",
       "      <td>ESSEX STREET ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9.5</td>\n",
       "      <td>HIGH SCHOOL OF HOSPITALITY MANAGEMENT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2.2</td>\n",
       "      <td>PACE HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10.9</td>\n",
       "      <td>URBAN ASSEMBLY SCHOOL OF DESIGN AND CONSTRUCTION, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>20.8</td>\n",
       "      <td>FACING HISTORY SCHOOL, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>6.1</td>\n",
       "      <td>URBAN ASSEMBLY ACADEMY OF GOVERNMENT AND LAW, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3.9</td>\n",
       "      <td>LOWER MANHATTAN ARTS ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2.6</td>\n",
       "      <td>URBAN ASSEMBLY SCHOOL OF BUSINESS FOR YOUNG WOMEN, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3.0</td>\n",
       "      <td>GRAMERCY ARTS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.5</td>\n",
       "      <td>NYC ISCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>9.9</td>\n",
       "      <td>MANHATTAN BUSINESS ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>7.6</td>\n",
       "      <td>BUSINESS OF SPORTS SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>28.3</td>\n",
       "      <td>THE HIGH SCHOOL FOR LANGUAGE AND DIPLOMACY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>7.1</td>\n",
       "      <td>HIGH SCHOOL FOR ENVIRONMENTAL STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2.0</td>\n",
       "      <td>PROFESSIONAL PERFORMING ARTS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1.6</td>\n",
       "      <td>BARUCH COLLEGE CAMPUS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1.6</td>\n",
       "      <td>N.Y.C. LAB SCHOOL FOR COLLABORATIVE STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.5</td>\n",
       "      <td>N.Y.C. MUSEUM SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.2</td>\n",
       "      <td>ELEANOR ROOSEVELT HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.2</td>\n",
       "      <td>MILLENNIUM HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>15.7</td>\n",
       "      <td>LANDMARK HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4.0</td>\n",
       "      <td>HIGH SCHOOL FOR HEALTH PROFESSIONS AND HUMAN SERVICES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>5.4</td>\n",
       "      <td>LEADERSHIP AND PUBLIC SERVICE HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>86.9</td>\n",
       "      <td>MANHATTAN ACADEMY FOR ARTS &amp; LANGUAGE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>8.8</td>\n",
       "      <td>HUDSON HIGH SCHOOL OF LEARNING TECHNOLOGIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>94.9</td>\n",
       "      <td>INTERNATIONAL HIGH SCHOOL AT UNION SQUARE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>3.7</td>\n",
       "      <td>MANHATTAN VILLAGE ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>6.1</td>\n",
       "      <td>VANGUARD HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>77.5</td>\n",
       "      <td>MANHATTAN INTERNATIONAL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>0.0</td>\n",
       "      <td>STUYVESANT HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>6.3</td>\n",
       "      <td>HIGH SCHOOL OF ECONOMICS AND FINANCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>15.6</td>\n",
       "      <td>UNITY CENTER FOR URBAN TECHNOLOGIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>0.2</td>\n",
       "      <td>TALENT UNLIMITED HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>10.2</td>\n",
       "      <td>MURRY BERGTRAUM HIGH SCHOOL FOR BUSINESS CAREERS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>9.8</td>\n",
       "      <td>JACQUELINE KENNEDY ONASSIS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>0.5</td>\n",
       "      <td>REPERTORY COMPANY HIGH SCHOOL FOR THEATRE ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>72.6</td>\n",
       "      <td>MANHATTAN BRIDGES HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>5.4</td>\n",
       "      <td>NEW DESIGN HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>38.2</td>\n",
       "      <td>HIGH SCHOOL FOR DUAL LANGUAGE AND ASIAN STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4.2</td>\n",
       "      <td>THE URBAN ASSEMBLY NEW YORK HARBOR SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>6.4</td>\n",
       "      <td>RICHARD R. GREEN HIGH SCHOOL OF TEACHING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2.8</td>\n",
       "      <td>THE HIGH SCHOOL OF FASHION INDUSTRIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>1.0</td>\n",
       "      <td>HUMANITIES PREPARATORY ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>6.2</td>\n",
       "      <td>CHELSEA CAREER AND TECHNICAL EDUCATION HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>1.6</td>\n",
       "      <td>ART AND DESIGN HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>7.9</td>\n",
       "      <td>LIFE SCIENCES SECONDARY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>14.4</td>\n",
       "      <td>HIGH SCHOOL FOR ARTS, IMAGINATION AND INQUIRY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>12.8</td>\n",
       "      <td>URBAN ASSEMBLY SCHOOL FOR MEDIA STUDIES, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>25.1</td>\n",
       "      <td>THE URBAN ASSEMBLY SCHOOL FOR GREEN CAREERS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>19.3</td>\n",
       "      <td>THE GLOBAL LEARNING COLLABORATIVE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>7.4</td>\n",
       "      <td>WADLEIGH SECONDARY SCHOOL FOR THE PERFORMING &amp; VISUAL ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>0.9</td>\n",
       "      <td>FRANK MCCOURT HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>0.2</td>\n",
       "      <td>BEACON HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>0.2</td>\n",
       "      <td>FIORELLO H. LAGUARDIA HIGH SCHOOL OF MUSIC &amp; ART AND PERFORMING ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>10.5</td>\n",
       "      <td>HIGH SCHOOL FOR LAW, ADVOCACY AND COMMUNITY JUSTICE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>10.4</td>\n",
       "      <td>HIGH SCHOOL OF ARTS AND TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>1.3</td>\n",
       "      <td>MANHATTAN / HUNTER SCIENCE HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>5.8</td>\n",
       "      <td>FREDERICK DOUGLASS ACADEMY II SECONDARY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>9.7</td>\n",
       "      <td>COALITION SCHOOL FOR SOCIAL CHANGE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2.7</td>\n",
       "      <td>MANHATTAN CENTER FOR SCIENCE AND MATHEMATICS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>4.3</td>\n",
       "      <td>PARK EAST HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>4.0</td>\n",
       "      <td>CENTRAL PARK EAST HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2.2</td>\n",
       "      <td>YOUNG WOMEN'S LEADERSHIP SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2.2</td>\n",
       "      <td>YOUNG WOMEN'S LEADERSHIP SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>6.8</td>\n",
       "      <td>HERITAGE SCHOOL, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>8.7</td>\n",
       "      <td>MOTT HALL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>0.6</td>\n",
       "      <td>COLUMBIA SECONDARY SCHOOL FOR MATH, SCIENCE, AND ENGINEERING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>9.9</td>\n",
       "      <td>ACADEMY FOR SOCIAL ACTION: A COLLEGE BOARD SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>6.1</td>\n",
       "      <td>URBAN ASSEMBLY SCHOOL FOR THE PERFORMING ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2.4</td>\n",
       "      <td>FREDERICK DOUGLASS ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>1.4</td>\n",
       "      <td>THURGOOD MARSHALL ACADEMY FOR LEARNING AND SOCIAL CHANGE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>0.0</td>\n",
       "      <td>HIGH SCHOOL FOR MATHEMATICS, SCIENCE AND ENGINEERING AT CITY COLLEGE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>6.1</td>\n",
       "      <td>CITY COLLEGE ACADEMY OF THE ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>30.0</td>\n",
       "      <td>COMMUNITY HEALTH ACADEMY OF THE HEIGHTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>19.6</td>\n",
       "      <td>WASHINGTON HEIGHTS EXPEDITIONARY LEARNING SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>19.7</td>\n",
       "      <td>HIGH SCHOOL FOR EXCELLENCE AND INNOVATION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>43.0</td>\n",
       "      <td>HIGH SCHOOL FOR INTERNATIONAL BUSINESS AND FINANCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>26.9</td>\n",
       "      <td>HIGH SCHOOL FOR MEDIA AND COMMUNICATIONS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>32.0</td>\n",
       "      <td>HIGH SCHOOL FOR LAW AND PUBLIC SERVICE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>31.2</td>\n",
       "      <td>HIGH SCHOOL FOR HEALTH CAREERS AND SCIENCES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2.3</td>\n",
       "      <td>A. PHILIP RANDOLPH CAMPUS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>89.6</td>\n",
       "      <td>GREGORIO LUPERON HIGH SCHOOL FOR SCIENCE AND MATHEMATICS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>8.8</td>\n",
       "      <td>SOUTH BRONX PREPARATORY: A COLLEGE BOARD SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>90.1</td>\n",
       "      <td>INTERNATIONAL COMMUNITY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>13.2</td>\n",
       "      <td>COMMUNITY SCHOOL FOR SOCIAL JUSTICE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>9.6</td>\n",
       "      <td>MOTT HAVEN VILLAGE PREPARATORY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>3.7</td>\n",
       "      <td>UNIVERSITY HEIGHTS SECONDARY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>5.6</td>\n",
       "      <td>HOSTOSsLINCOLN ACADEMY OF SCIENCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>21.9</td>\n",
       "      <td>FOREIGN LANGUAGE ACADEMY OF GLOBAL STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>14.1</td>\n",
       "      <td>BRONX LEADERSHIP ACADEMY II HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>15.7</td>\n",
       "      <td>NEW EXPLORERS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>5.0</td>\n",
       "      <td>URBAN ASSEMBLY SCHOOL FOR CAREERS IN SPORTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>9.4</td>\n",
       "      <td>BRONX ACADEMY OF LETTERS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>9.1</td>\n",
       "      <td>ALFRED E. SMITH CAREER AND TECHNICAL EDUCATION HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>10.4</td>\n",
       "      <td>HEALTH OPPORTUNITIES HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>9.2</td>\n",
       "      <td>BRONX STUDIO SCHOOL FOR WRITERS AND ARTISTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2.6</td>\n",
       "      <td>WOMEN'S ACADEMY OF EXCELLENCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>4.5</td>\n",
       "      <td>RENAISSANCE HIGH SCHOOL FOR MUSICAL THEATER &amp; TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>15.9</td>\n",
       "      <td>PABLO NERUDA ACADEMY FOR ARCHITECTURE AND WORLD STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>5.4</td>\n",
       "      <td>MILLENNIUM ART ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>12.6</td>\n",
       "      <td>HOLCOMBE L. RUCKER SCHOOL OF COMMUNITY RESEARCH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>7.4</td>\n",
       "      <td>ANTONIA PANTOJA PREPARATORY ACADEMY, A COLLEGE BOARD SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>9.2</td>\n",
       "      <td>HERBERT H. LEHMAN HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>79.4</td>\n",
       "      <td>BRONX BRIDGES HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>14.0</td>\n",
       "      <td>FELISA RINCON DE GAUTIER INSTITUTE FOR LAW AND PUBLIC POLICY, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>13.5</td>\n",
       "      <td>BANANA KELLY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>29.3</td>\n",
       "      <td>BRONX EXPEDITIONARY LEARNING HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>4.0</td>\n",
       "      <td>EAGLE ACADEMY FOR YOUNG MEN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>9.4</td>\n",
       "      <td>URBAN ASSEMBLY SCHOOL FOR APPLIED MATH AND SCIENCE, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>8.1</td>\n",
       "      <td>EXIMIUS COLLEGE PREPARATORY ACADEMY: A COLLEGE BOARD SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>8.8</td>\n",
       "      <td>MOTT HALL BRONX HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>1.6</td>\n",
       "      <td>BRONX CENTER FOR SCIENCE AND MATHEMATICS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>12.1</td>\n",
       "      <td>VALIDUS PREPARATORY ACADEMY: AN EXPEDITIONARY LEARNING SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>16.5</td>\n",
       "      <td>LEADERSHIP INSTITUTE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>19.1</td>\n",
       "      <td>MORRIS ACADEMY FOR COLLABORATIVE STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>11.0</td>\n",
       "      <td>BRONX EARLY COLLEGE ACADEMY FOR TEACHING &amp; LEARNING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>24.4</td>\n",
       "      <td>DREAMYARD PREPARATORY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>86.6</td>\n",
       "      <td>ACADEMY FOR LANGUAGE AND TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>87.1</td>\n",
       "      <td>BRONX INTERNATIONAL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>20.7</td>\n",
       "      <td>SCHOOL FOR EXCELLENCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>23.2</td>\n",
       "      <td>BRONX HIGH SCHOOL OF BUSINESS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>5.7</td>\n",
       "      <td>BRONX HIGH SCHOOL FOR MEDICAL SCIENCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>6.6</td>\n",
       "      <td>BRONX SCHOOL FOR LAW, GOVERNMENT AND JUSTICE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>6.4</td>\n",
       "      <td>FREDERICK DOUGLASS ACADEMY III SECONDARY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>9.6</td>\n",
       "      <td>BRONX LEADERSHIP ACADEMY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>8.7</td>\n",
       "      <td>HIGH SCHOOL FOR VIOLIN AND DANCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>6.7</td>\n",
       "      <td>RIVERDALE / KINGSBRIDGE ACADEMY (MIDDLE SCHOOL / HIGH SCHOOL 141)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>15.5</td>\n",
       "      <td>BRONX ENGINEERING AND TECHNOLOGY ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>4.4</td>\n",
       "      <td>THEATRE ARTS PRODUCTION COMPANY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.7</td>\n",
       "      <td>THE MARIE CURIE SCHOOL FOR MEDICINE, NURSING, AND HEALTH PROFESSIONS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>13.2</td>\n",
       "      <td>WEST BRONX ACADEMY FOR THE FUTURE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>88.7</td>\n",
       "      <td>KINGSBRIDGE INTERNATIONAL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>7.1</td>\n",
       "      <td>BRONX SCHOOL OF LAW AND FINANCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>79.9</td>\n",
       "      <td>INTERNATIONAL SCHOOL FOR LIBERAL ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>12.1</td>\n",
       "      <td>INsTECH ACADEMY (M.S. / HIGH SCHOOL 368)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>9.3</td>\n",
       "      <td>KNOWLEDGE AND POWER PREPARATORY ACADEMY INTERNATIONAL HIGH SCHOOL (KAPPA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>17.8</td>\n",
       "      <td>HIGH SCHOOL FOR TEACHING AND THE PROFESSIONS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>11.3</td>\n",
       "      <td>BELMONT PREPARATORY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>12.4</td>\n",
       "      <td>FORDHAM HIGH SCHOOL FOR THE ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>16.6</td>\n",
       "      <td>FORDHAM LEADERSHIP ACADEMY FOR BUSINESS AND TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>13.4</td>\n",
       "      <td>BRONX HIGH SCHOOL FOR LAW AND COMMUNITY SERVICE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>19.0</td>\n",
       "      <td>DEWITT CLINTON HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>3.5</td>\n",
       "      <td>CELIA CRUZ BRONX HIGH SCHOOL OF MUSIC, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>0.1</td>\n",
       "      <td>BRONX HIGH SCHOOL OF SCIENCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>32.2</td>\n",
       "      <td>MARBLE HILL HIGH SCHOOL FOR INTERNATIONAL STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>9.4</td>\n",
       "      <td>BRONX THEATRE HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>20.6</td>\n",
       "      <td>DISCOVERY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>0.0</td>\n",
       "      <td>HIGH SCHOOL OF AMERICAN STUDIES AT LEHMAN COLLEGE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>6.1</td>\n",
       "      <td>BRONX HEALTH SCIENCES HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>8.5</td>\n",
       "      <td>BRONX HIGH SCHOOL FOR WRITING AND COMMUNICATION ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>3.7</td>\n",
       "      <td>BRONX LAB SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>6.3</td>\n",
       "      <td>ACADEMY FOR SCHOLARSHIP AND ENTREPRENEURSHIP: A COLLEGE BOARD SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>10.2</td>\n",
       "      <td>HIGH SCHOOL OF COMPUTERS AND TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>3.3</td>\n",
       "      <td>COLLEGIATE INSTITUTE FOR MATH AND SCIENCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>7.7</td>\n",
       "      <td>BRONX ACADEMY OF HEALTH CAREERS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>7.6</td>\n",
       "      <td>ASTOR COLLEGIATE ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>5.2</td>\n",
       "      <td>BRONX HIGH SCHOOL FOR THE VISUAL ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>9.2</td>\n",
       "      <td>HARRY S TRUMAN HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>80.1</td>\n",
       "      <td>NEW WORLD HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>7.0</td>\n",
       "      <td>THE BRONXWOOD PREPARATORY ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>2.2</td>\n",
       "      <td>PELHAM PREPARATORY ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>10.2</td>\n",
       "      <td>HIGH SCHOOL FOR CONTEMPORARY ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>14.7</td>\n",
       "      <td>BRONX AEROSPACE HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>21.8</td>\n",
       "      <td>METROPOLITAN HIGH SCHOOL, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>19.9</td>\n",
       "      <td>EXPLORATIONS ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>13.6</td>\n",
       "      <td>BRONX LATIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>11.6</td>\n",
       "      <td>EAST BRONX ACADEMY FOR THE FUTURE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>13.9</td>\n",
       "      <td>PEACE AND DIVERSITY ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>92.9</td>\n",
       "      <td>PAN AMERICAN INTERNATIONAL HIGH SCHOOL AT MONROE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>4.0</td>\n",
       "      <td>THE CINEMA SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>16.8</td>\n",
       "      <td>BRONX CAREER AND COLLEGE PREPARATORY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>86.4</td>\n",
       "      <td>HIGH SCHOOL OF WORLD CULTURES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>11.5</td>\n",
       "      <td>FANNIE LOU HAMER FREEDOM HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>4.5</td>\n",
       "      <td>WINGS ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>28.8</td>\n",
       "      <td>MONROE ACADEMY FOR VISUAL ARTS &amp; DESIGN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>4.3</td>\n",
       "      <td>DR. SUSAN S. MCKINNEY SECONDARY SCHOOL OF THE ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>4.6</td>\n",
       "      <td>URBAN ASSEMBLY HIGH SCHOOL OF MUSIC AND ART</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>2.4</td>\n",
       "      <td>BROOKLYN COMMUNITY HIGH SCHOOL OF COMMUNICATION, ARTS AND MEDIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>7.0</td>\n",
       "      <td>SCIENCE SKILLS CENTER HIGH SCHOOL FOR SCIENCE, TECHNOLOGY AND THE CREATIVE ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>0.1</td>\n",
       "      <td>BROOKLYN TECHNICAL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>83.1</td>\n",
       "      <td>BROOKLYN INTERNATIONAL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>0.9</td>\n",
       "      <td>THE URBAN ASSEMBLY SCHOOL FOR LAW AND JUSTICE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>2.9</td>\n",
       "      <td>ACORN COMMUNITY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>1.5</td>\n",
       "      <td>URBAN ASSEMBLY INSTITUTE OF MATH AND SCIENCE FOR YOUNG WOMEN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>1.1</td>\n",
       "      <td>BEDFORD ACADEMY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>1.9</td>\n",
       "      <td>GEORGE WESTINGHOUSE CAREER AND TECHNICAL EDUCATION HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>0.0</td>\n",
       "      <td>BENJAMIN BANNEKER ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>3.6</td>\n",
       "      <td>CITY POLYTECHNIC HIGH SCHOOL OF ENGINEERING, ARCHITECTURE, AND TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>24.9</td>\n",
       "      <td>JUAN MOREL CAMPOS SECONDARY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>5.7</td>\n",
       "      <td>FOUNDATIONS ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>0.4</td>\n",
       "      <td>BROOKLYN LATIN SCHOOL, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>11.5</td>\n",
       "      <td>GREEN SCHOOL: AN ACADEMY FOR ENVIRONMENTAL CAREERS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>16.1</td>\n",
       "      <td>PROGRESS HIGH SCHOOL FOR PROFESSIONAL CAREERS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>5.7</td>\n",
       "      <td>SCHOOL FOR LEGAL STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>9.9</td>\n",
       "      <td>THE HIGH SCHOOL FOR ENTERPRISE, BUSINESS AND TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>2.7</td>\n",
       "      <td>BROOKLYN PREPARATORY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>7.0</td>\n",
       "      <td>WILLIAMSBURG HIGH SCHOOL FOR ARCHITECTURE AND DESIGN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>2.8</td>\n",
       "      <td>WILLIAMSBURG PREPARATORY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>14.6</td>\n",
       "      <td>LYONS COMMUNITY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>4.7</td>\n",
       "      <td>AUTOMOTIVE HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>9.8</td>\n",
       "      <td>FRANCES PERKINS ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>17.0</td>\n",
       "      <td>EL PUENTE ACADEMY FOR PEACE AND JUSTICE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>5.9</td>\n",
       "      <td>BROOKLYN SCHOOL FOR GLOBAL STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>4.5</td>\n",
       "      <td>BROOKLYN SECONDARY SCHOOL FOR COLLABORATIVE STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>6.3</td>\n",
       "      <td>SECONDARY SCHOOL FOR LAW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>16.7</td>\n",
       "      <td>SECONDARY SCHOOL FOR JOURNALISM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>9.6</td>\n",
       "      <td>PARK SLOPE COLLEGIATE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>14.6</td>\n",
       "      <td>SCHOOL FOR INTERNATIONAL STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>7.5</td>\n",
       "      <td>COBBLE HILL SCHOOL OF AMERICAN STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>0.1</td>\n",
       "      <td>BROOKLYN HIGH SCHOOL OF THE ARTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>14.4</td>\n",
       "      <td>SUNSET PARK HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>1.4</td>\n",
       "      <td>FREDERICK DOUGLASS ACADEMY IV SECONDARY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>2.5</td>\n",
       "      <td>BOYS AND GIRLS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>4.7</td>\n",
       "      <td>BROOKLYN HIGH SCHOOL FOR LAW AND TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>6.3</td>\n",
       "      <td>THE BROOKLYN ACADEMY OF GLOBAL FINANCE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>5.0</td>\n",
       "      <td>ACADEMY FOR COLLEGE PREPARATION AND CAREER EXPLORATION: A COLLEGE BOARD SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>12.9</td>\n",
       "      <td>ACADEMY OF HOSPITALITY AND TOURISM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>91.0</td>\n",
       "      <td>INTERNATIONAL HIGH SCHOOL AT PROSPECT HEIGHTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>5.2</td>\n",
       "      <td>THE HIGH SCHOOL FOR GLOBAL CITIZENSHIP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>6.2</td>\n",
       "      <td>SCHOOL FOR HUMAN RIGHTS, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>3.7</td>\n",
       "      <td>SCHOOL FOR DEMOCRACY AND LEADERSHIP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>9.1</td>\n",
       "      <td>HIGH SCHOOL FOR YOUTH AND COMMUNITY DEVELOPMENT AT ERASMUS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>8.8</td>\n",
       "      <td>HIGH SCHOOL FOR SERVICE &amp; LEARNING AT ERASMUS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>0.0</td>\n",
       "      <td>SCIENCE, TECHNOLOGY AND RESEARCH EARLY COLLEGE HIGH SCHOOL AT ERASMUS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>0.5</td>\n",
       "      <td>HIGH SCHOOL FOR PUBLIC SERVICE: HEROES OF TOMORROW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>6.8</td>\n",
       "      <td>BROOKLYN ACADEMY OF SCIENCE AND THE ENVIRONMENT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>0.5</td>\n",
       "      <td>BROOKLYN SCHOOL FOR MUSIC &amp; THEATRE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>0.0</td>\n",
       "      <td>MEDGAR EVERS COLLEGE PREPARATORY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>8.3</td>\n",
       "      <td>CLARA BARTON HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>30.4</td>\n",
       "      <td>IT TAKES A VILLAGE ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>5.7</td>\n",
       "      <td>BROOKLYN GENERATION SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>5.0</td>\n",
       "      <td>BROOKLYN THEATRE ARTS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>9.5</td>\n",
       "      <td>KURT HAHN EXPEDITIONARY LEARNING SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>5.2</td>\n",
       "      <td>VICTORY COLLEGIATE HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>3.4</td>\n",
       "      <td>ARTS &amp; MEDIA PREPARATORY ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>8.1</td>\n",
       "      <td>HIGH SCHOOL FOR INNOVATION IN ADVERTISING AND MEDIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>7.7</td>\n",
       "      <td>CULTURAL ACADEMY FOR THE ARTS AND SCIENCES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>3.3</td>\n",
       "      <td>HIGH SCHOOL FOR MEDICAL PROFESSIONS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>6.9</td>\n",
       "      <td>ACADEMY FOR CONSERVATION AND THE ENVIRONMENT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>11.1</td>\n",
       "      <td>URBAN ACTION ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>0.5</td>\n",
       "      <td>EAST NEW YORK FAMILY ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>5.0</td>\n",
       "      <td>FDNY HIGH SCHOOL FOR FIRE AND LIFE SAFETY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>9.7</td>\n",
       "      <td>HIGH SCHOOL FOR CIVIL RIGHTS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>4.9</td>\n",
       "      <td>PERFORMING ARTS AND TECHNOLOGY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>4.2</td>\n",
       "      <td>WORLD ACADEMY FOR TOTAL COMMUNITY HEALTH HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>94.6</td>\n",
       "      <td>MULTICULTURAL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>2.4</td>\n",
       "      <td>TRANSIT TECH CAREER AND TECHNICAL EDUCATION HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>12.1</td>\n",
       "      <td>ACADEMY OF INNOVATIVE TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>15.4</td>\n",
       "      <td>BROOKLYN LAB SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>16.2</td>\n",
       "      <td>CYPRESS HILLS COLLEGIATE PREPARATORY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>5.3</td>\n",
       "      <td>W. H. MAXWELL CAREER AND TECHNICAL EDUCATION HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>9.0</td>\n",
       "      <td>THE SCHOOL FOR CLASSICS: AN ACADEMY OF THINKERS, WRITERS AND PERFORMERS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>23.0</td>\n",
       "      <td>NEW UTRECHT HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>4.9</td>\n",
       "      <td>HIGH SCHOOL OF TELECOMMUNICATION ARTS AND TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>21.2</td>\n",
       "      <td>FORT HAMILTON HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>39.4</td>\n",
       "      <td>FRANKLIN DELANO ROOSEVELT HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>15.5</td>\n",
       "      <td>THE URBAN ASSEMBLY SCHOOL FOR CRIMINAL JUSTICE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>89.2</td>\n",
       "      <td>INTERNATIONAL HIGH SCHOOL AT LAFAYETTE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>11.0</td>\n",
       "      <td>RACHEL CARSON HIGH SCHOOL FOR COASTAL STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>2.4</td>\n",
       "      <td>HIGH SCHOOL OF SPORTS MANAGEMENT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>16.7</td>\n",
       "      <td>ABRAHAM LINCOLN HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>2.8</td>\n",
       "      <td>KINGSBOROUGH EARLY COLLEGE SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>9.1</td>\n",
       "      <td>EDWARD R. MURROW HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>19.6</td>\n",
       "      <td>JOHN DEWEY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>4.8</td>\n",
       "      <td>LIFE ACADEMY HIGH SCHOOL FOR FILM AND MUSIC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>21.7</td>\n",
       "      <td>EXPEDITIONARY LEARNING SCHOOL FOR COMMUNITY LEADERS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>3.1</td>\n",
       "      <td>WILLIAM E. GRADY CAREER AND TECHNICAL EDUCATION HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>8.4</td>\n",
       "      <td>BROOKLYN STUDIO SECONDARY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>3.7</td>\n",
       "      <td>MIDWOOD HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>13.2</td>\n",
       "      <td>JAMES MADISON HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>0.5</td>\n",
       "      <td>LEON M. GOLDSTEIN HIGH SCHOOL FOR THE SCIENCES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>0.2</td>\n",
       "      <td>BROOKLYN COLLEGE ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>1.6</td>\n",
       "      <td>BROOKLYN COLLEGIATE: A COLLEGE BOARD SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>1.4</td>\n",
       "      <td>FREDERICK DOUGLASS ACADEMY VII HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>1.8</td>\n",
       "      <td>TEACHERS PREPARATORY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>7.9</td>\n",
       "      <td>ACADEMY OF FINANCE AND ENTERPRISE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>10.3</td>\n",
       "      <td>HIGH SCHOOL OF APPLIED COMMUNICATION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>9.1</td>\n",
       "      <td>CIVIC LEADERSHIP ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>91.3</td>\n",
       "      <td>PAN AMERICAN INTERNATIONAL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>0.3</td>\n",
       "      <td>BARD HIGH SCHOOL EARLY COLLEGE II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>30.0</td>\n",
       "      <td>NEWTOWN HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>21.6</td>\n",
       "      <td>GROVER CLEVELAND HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>0.2</td>\n",
       "      <td>MIDDLE COLLEGE HIGH SCHOOL AT LAGUARDIA COMMUNITY COLLEGE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>76.5</td>\n",
       "      <td>INTERNATIONAL HIGH SCHOOL AT LAGUARDIA COMMUNITY COLLEGE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>13.3</td>\n",
       "      <td>HIGH SCHOOL FOR ARTS AND BUSINESS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>3.8</td>\n",
       "      <td>ROBERT F. WAGNER, JR. SECONDARY SCHOOL FOR ARTS AND TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>6.4</td>\n",
       "      <td>QUEENS VOCATIONAL AND TECHNICAL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>3.2</td>\n",
       "      <td>AVIATION CAREER &amp; TECHNICAL EDUCATION HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>2.7</td>\n",
       "      <td>QUEENS SCHOOL OF INQUIRY, THE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>88.6</td>\n",
       "      <td>FLUSHING INTERNATIONAL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>13.6</td>\n",
       "      <td>EASTsWEST SCHOOL OF INTERNATIONAL STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>0.8</td>\n",
       "      <td>WORLD JOURNALISM PREPARATORY: A COLLEGE BOARD SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>24.7</td>\n",
       "      <td>JOHN BOWNE HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>20.0</td>\n",
       "      <td>FLUSHING HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>0.0</td>\n",
       "      <td>TOWNSEND HARRIS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>7.5</td>\n",
       "      <td>ROBERT F. KENNEDY COMMUNITY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>6.1</td>\n",
       "      <td>BENJAMIN N. CARDOZO HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>13.2</td>\n",
       "      <td>FRANCIS LEWIS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>9.9</td>\n",
       "      <td>MARTIN VAN BUREN HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>5.7</td>\n",
       "      <td>BAYSIDE HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>2.5</td>\n",
       "      <td>QUEENS HIGH SCHOOL OF TEACHING, LIBERAL ARTS AND THE SCIENCES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>4.0</td>\n",
       "      <td>FREDERICK DOUGLASS ACADEMY VI HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>1.3</td>\n",
       "      <td>CHANNEL VIEW SCHOOL FOR RESEARCH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>10.6</td>\n",
       "      <td>QUEENS HIGH SCHOOL FOR INFORMATION, RESEARCH, AND TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>3.6</td>\n",
       "      <td>ROBERT H. GODDARD HIGH SCHOOL OF COMMUNICATION ARTS AND TECHNOLOGY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>10.6</td>\n",
       "      <td>ACADEMY OF MEDICAL TECHNOLOGY: A COLLEGE BOARD SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>0.0</td>\n",
       "      <td>SCHOLARS' ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>4.3</td>\n",
       "      <td>AUGUST MARTIN HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>17.4</td>\n",
       "      <td>RICHMOND HILL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>16.0</td>\n",
       "      <td>JOHN ADAMS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>0.4</td>\n",
       "      <td>HIGH SCHOOL FOR CONSTRUCTION TRADES, ENGINEERING AND ARCHITECTURE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>0.0</td>\n",
       "      <td>YORK EARLY COLLEGE ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>8.1</td>\n",
       "      <td>QUEENS COLLEGIATE: A COLLEGE BOARD SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>12.5</td>\n",
       "      <td>HILLSIDE ARTS &amp; LETTERS ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>8.9</td>\n",
       "      <td>FOREST HILLS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>15.0</td>\n",
       "      <td>HILLCREST HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>1.4</td>\n",
       "      <td>THOMAS A. EDISON CAREER AND TECHNICAL EDUCATION HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>0.1</td>\n",
       "      <td>QUEENS GATEWAY TO HEALTH SCIENCES SECONDARY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>3.6</td>\n",
       "      <td>QUEENS METROPOLITAN HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>0.2</td>\n",
       "      <td>QUEENS HIGH SCHOOL FOR THE SCIENCES AT YORK COLLEGE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>2.1</td>\n",
       "      <td>HIGH SCHOOL FOR LAW ENFORCEMENT AND PUBLIC SAFETY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>2.7</td>\n",
       "      <td>YOUNG WOMEN'S LEADERSHIP SCHOOL, QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>4.5</td>\n",
       "      <td>QUEENS PREPARATORY ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2.3</td>\n",
       "      <td>PATHWAYS COLLEGE PREPARATORY SCHOOL: A COLLEGE BOARD SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>2.3</td>\n",
       "      <td>EXCELSIOR PREPARATORY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>1.7</td>\n",
       "      <td>GEORGE WASHINGTON CARVER HIGH SCHOOL FOR THE SCIENCES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>1.9</td>\n",
       "      <td>PREPARATORY ACADEMY FOR WRITERS: A COLLEGE BOARD SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2.0</td>\n",
       "      <td>CAMBRIA HEIGHTS ACADEMY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>5.1</td>\n",
       "      <td>MATHEMATICS, SCIENCE RESEARCH AND TECHNOLOGY MAGNET HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>3.5</td>\n",
       "      <td>HUMANITIES &amp; ARTS MAGNET HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>5.5</td>\n",
       "      <td>YOUNG WOMEN'S LEADERSHIP SCHOOL, ASTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2.9</td>\n",
       "      <td>ACADEMY FOR CAREERS IN TELEVISION AND FILM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>17.9</td>\n",
       "      <td>WILLIAM CULLEN BRYANT HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>13.2</td>\n",
       "      <td>LONG ISLAND CITY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>0.1</td>\n",
       "      <td>FRANK SINATRA SCHOOL OF THE ARTS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>9.6</td>\n",
       "      <td>INFORMATION TECHNOLOGY HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>90.3</td>\n",
       "      <td>NEWCOMERS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>5.7</td>\n",
       "      <td>ACADEMY OF AMERICAN STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>0.0</td>\n",
       "      <td>BACCALAUREATE SCHOOL FOR GLOBAL EDUCATION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>0.2</td>\n",
       "      <td>CSI HIGH SCHOOL FOR INTERNATIONAL STUDIES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>1.0</td>\n",
       "      <td>GAYNOR MCCOWN EXPEDITIONARY LEARNING SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>1.6</td>\n",
       "      <td>THE MICHAEL J. PETRIDES SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>5.9</td>\n",
       "      <td>NEW DORP HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>5.3</td>\n",
       "      <td>PORT RICHMOND HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>6.1</td>\n",
       "      <td>CURTIS HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>1.4</td>\n",
       "      <td>TOTTENVILLE HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>3.4</td>\n",
       "      <td>SUSAN E. WAGNER HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>3.6</td>\n",
       "      <td>RALPH R. MCKEE CAREER AND TECHNICAL EDUCATION HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>0.1</td>\n",
       "      <td>STATEN ISLAND TECHNICAL HIGH SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>32.9</td>\n",
       "      <td>ACADEMY FOR ENVIRONMENTAL LEADERSHIP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>15.3</td>\n",
       "      <td>EBC HIGH SCHOOL FOR PUBLIC SERVICE–BUSHWICK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>18.2</td>\n",
       "      <td>BUSHWICK SCHOOL FOR SOCIAL JUSTICE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>23.9</td>\n",
       "      <td>ACADEMY OF URBAN PLANNING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>2.7</td>\n",
       "      <td>ALL CITY LEADERSHIP SECONDARY SCHOOL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>18.2</td>\n",
       "      <td>BUSHWICK LEADERS HIGH SCHOOL FOR ACADEMIC EXCELLENCE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ell_percent  \\\n",
       "0           22.3   \n",
       "1           21.1   \n",
       "2            5.0   \n",
       "3           11.2   \n",
       "4            0.2   \n",
       "5            0.2   \n",
       "6            8.0   \n",
       "7            2.1   \n",
       "8            3.8   \n",
       "9            9.5   \n",
       "10           2.2   \n",
       "11          10.9   \n",
       "12          20.8   \n",
       "13           6.1   \n",
       "14           3.9   \n",
       "15           2.6   \n",
       "16           3.0   \n",
       "17           0.5   \n",
       "18           9.9   \n",
       "19           7.6   \n",
       "20          28.3   \n",
       "21           7.1   \n",
       "22           2.0   \n",
       "23           1.6   \n",
       "24           1.6   \n",
       "25           0.5   \n",
       "26           0.2   \n",
       "27           0.2   \n",
       "28          15.7   \n",
       "29           4.0   \n",
       "30           5.4   \n",
       "31          86.9   \n",
       "32           8.8   \n",
       "33          94.9   \n",
       "34           3.7   \n",
       "35           6.1   \n",
       "36          77.5   \n",
       "37           0.0   \n",
       "38           6.3   \n",
       "39          15.6   \n",
       "40           0.2   \n",
       "41          10.2   \n",
       "42           9.8   \n",
       "43           0.5   \n",
       "44          72.6   \n",
       "45           5.4   \n",
       "46          38.2   \n",
       "47           4.2   \n",
       "48           6.4   \n",
       "49           2.8   \n",
       "50           1.0   \n",
       "51           6.2   \n",
       "52           1.6   \n",
       "53           7.9   \n",
       "54          14.4   \n",
       "55          12.8   \n",
       "56          25.1   \n",
       "57          19.3   \n",
       "58           7.4   \n",
       "59           0.9   \n",
       "60           0.2   \n",
       "61           0.2   \n",
       "62          10.5   \n",
       "63          10.4   \n",
       "64           1.3   \n",
       "65           5.8   \n",
       "66           9.7   \n",
       "67           2.7   \n",
       "68           4.3   \n",
       "69           4.0   \n",
       "70           2.2   \n",
       "71           2.2   \n",
       "72           6.8   \n",
       "73           8.7   \n",
       "74           0.6   \n",
       "75           9.9   \n",
       "76           6.1   \n",
       "77           2.4   \n",
       "78           1.4   \n",
       "79           0.0   \n",
       "80           6.1   \n",
       "81          30.0   \n",
       "82          19.6   \n",
       "83          19.7   \n",
       "84          43.0   \n",
       "85          26.9   \n",
       "86          32.0   \n",
       "87          31.2   \n",
       "88           2.3   \n",
       "89          89.6   \n",
       "90           8.8   \n",
       "91          90.1   \n",
       "92          13.2   \n",
       "93           9.6   \n",
       "94           3.7   \n",
       "95           5.6   \n",
       "96          21.9   \n",
       "97          14.1   \n",
       "98          15.7   \n",
       "99           5.0   \n",
       "100          9.4   \n",
       "101          9.1   \n",
       "102         10.4   \n",
       "103          9.2   \n",
       "104          2.6   \n",
       "105          4.5   \n",
       "106         15.9   \n",
       "107          5.4   \n",
       "108         12.6   \n",
       "109          7.4   \n",
       "110          9.2   \n",
       "111         79.4   \n",
       "112         14.0   \n",
       "113         13.5   \n",
       "114         29.3   \n",
       "115          4.0   \n",
       "116          9.4   \n",
       "117          8.1   \n",
       "118          8.8   \n",
       "119          1.6   \n",
       "120         12.1   \n",
       "121         16.5   \n",
       "122         19.1   \n",
       "123         11.0   \n",
       "124         24.4   \n",
       "125         86.6   \n",
       "126         87.1   \n",
       "127         20.7   \n",
       "128         23.2   \n",
       "129          5.7   \n",
       "130          6.6   \n",
       "131          6.4   \n",
       "132          9.6   \n",
       "133          8.7   \n",
       "134          6.7   \n",
       "135         15.5   \n",
       "136          4.4   \n",
       "137          6.7   \n",
       "138         13.2   \n",
       "139         88.7   \n",
       "140          7.1   \n",
       "141         79.9   \n",
       "142         12.1   \n",
       "143          9.3   \n",
       "144         17.8   \n",
       "145         11.3   \n",
       "146         12.4   \n",
       "147         16.6   \n",
       "148         13.4   \n",
       "149         19.0   \n",
       "150          3.5   \n",
       "151          0.1   \n",
       "152         32.2   \n",
       "153          9.4   \n",
       "154         20.6   \n",
       "155          0.0   \n",
       "156          6.1   \n",
       "157          8.5   \n",
       "158          3.7   \n",
       "159          6.3   \n",
       "160         10.2   \n",
       "161          3.3   \n",
       "162          7.7   \n",
       "163          7.6   \n",
       "164          5.2   \n",
       "165          9.2   \n",
       "166         80.1   \n",
       "167          7.0   \n",
       "168          2.2   \n",
       "169         10.2   \n",
       "170         14.7   \n",
       "171         21.8   \n",
       "172         19.9   \n",
       "173         13.6   \n",
       "174         11.6   \n",
       "175         13.9   \n",
       "176         92.9   \n",
       "177          4.0   \n",
       "178         16.8   \n",
       "179         86.4   \n",
       "180         11.5   \n",
       "181          4.5   \n",
       "182         28.8   \n",
       "183          4.3   \n",
       "184          4.6   \n",
       "185          2.4   \n",
       "186          7.0   \n",
       "187          0.1   \n",
       "188         83.1   \n",
       "189          0.9   \n",
       "190          2.9   \n",
       "191          1.5   \n",
       "192          1.1   \n",
       "193          1.9   \n",
       "194          0.0   \n",
       "195          3.6   \n",
       "196         24.9   \n",
       "197          5.7   \n",
       "198          0.4   \n",
       "199         11.5   \n",
       "200         16.1   \n",
       "201          5.7   \n",
       "202          9.9   \n",
       "203          2.7   \n",
       "204          7.0   \n",
       "205          2.8   \n",
       "206         14.6   \n",
       "207          4.7   \n",
       "208          9.8   \n",
       "209         17.0   \n",
       "210          5.9   \n",
       "211          4.5   \n",
       "212          6.3   \n",
       "213         16.7   \n",
       "214          9.6   \n",
       "215         14.6   \n",
       "216          7.5   \n",
       "217          0.1   \n",
       "218         14.4   \n",
       "219          1.4   \n",
       "220          2.5   \n",
       "221          4.7   \n",
       "222          6.3   \n",
       "223          5.0   \n",
       "224         12.9   \n",
       "225         91.0   \n",
       "226          5.2   \n",
       "227          6.2   \n",
       "228          3.7   \n",
       "229          9.1   \n",
       "230          8.8   \n",
       "231          0.0   \n",
       "232          0.5   \n",
       "233          6.8   \n",
       "234          0.5   \n",
       "235          0.0   \n",
       "236          8.3   \n",
       "237         30.4   \n",
       "238          5.7   \n",
       "239          5.0   \n",
       "240          9.5   \n",
       "241          5.2   \n",
       "242          3.4   \n",
       "243          8.1   \n",
       "244          7.7   \n",
       "245          3.3   \n",
       "246          6.9   \n",
       "247         11.1   \n",
       "248          0.5   \n",
       "249          5.0   \n",
       "250          9.7   \n",
       "251          4.9   \n",
       "252          4.2   \n",
       "253         94.6   \n",
       "254          2.4   \n",
       "255         12.1   \n",
       "256         15.4   \n",
       "257         16.2   \n",
       "258          5.3   \n",
       "259          9.0   \n",
       "260         23.0   \n",
       "261          4.9   \n",
       "262         21.2   \n",
       "263         39.4   \n",
       "264         15.5   \n",
       "265         89.2   \n",
       "266         11.0   \n",
       "267          2.4   \n",
       "268         16.7   \n",
       "269          2.8   \n",
       "270          9.1   \n",
       "271         19.6   \n",
       "272          4.8   \n",
       "273         21.7   \n",
       "274          3.1   \n",
       "275          8.4   \n",
       "276          3.7   \n",
       "277         13.2   \n",
       "278          0.5   \n",
       "279          0.2   \n",
       "280          1.6   \n",
       "281          1.4   \n",
       "282          1.8   \n",
       "283          7.9   \n",
       "284         10.3   \n",
       "285          9.1   \n",
       "286         91.3   \n",
       "287          0.3   \n",
       "288         30.0   \n",
       "289         21.6   \n",
       "290          0.2   \n",
       "291         76.5   \n",
       "292         13.3   \n",
       "293          3.8   \n",
       "294          6.4   \n",
       "295          3.2   \n",
       "296          2.7   \n",
       "297         88.6   \n",
       "298         13.6   \n",
       "299          0.8   \n",
       "300         24.7   \n",
       "301         20.0   \n",
       "302          0.0   \n",
       "303          7.5   \n",
       "304          6.1   \n",
       "305         13.2   \n",
       "306          9.9   \n",
       "307          5.7   \n",
       "308          2.5   \n",
       "309          4.0   \n",
       "310          1.3   \n",
       "311         10.6   \n",
       "312          3.6   \n",
       "313         10.6   \n",
       "314          0.0   \n",
       "315          4.3   \n",
       "316         17.4   \n",
       "317         16.0   \n",
       "318          0.4   \n",
       "319          0.0   \n",
       "320          8.1   \n",
       "321         12.5   \n",
       "322          8.9   \n",
       "323         15.0   \n",
       "324          1.4   \n",
       "325          0.1   \n",
       "326          3.6   \n",
       "327          0.2   \n",
       "328          2.1   \n",
       "329          2.7   \n",
       "330          4.5   \n",
       "331          2.3   \n",
       "332          2.3   \n",
       "333          1.7   \n",
       "334          1.9   \n",
       "335          2.0   \n",
       "336          5.1   \n",
       "337          3.5   \n",
       "338          5.5   \n",
       "339          2.9   \n",
       "340         17.9   \n",
       "341         13.2   \n",
       "342          0.1   \n",
       "343          9.6   \n",
       "344         90.3   \n",
       "345          5.7   \n",
       "346          0.0   \n",
       "347          0.2   \n",
       "348          1.0   \n",
       "349          1.6   \n",
       "350          5.9   \n",
       "351          5.3   \n",
       "352          6.1   \n",
       "353          1.4   \n",
       "354          3.4   \n",
       "355          3.6   \n",
       "356          0.1   \n",
       "357         32.9   \n",
       "358         15.3   \n",
       "359         18.2   \n",
       "360         23.9   \n",
       "361          2.7   \n",
       "362         18.2   \n",
       "\n",
       "                                                                         SCHOOL NAME  \n",
       "0                                      HENRY STREET SCHOOL FOR INTERNATIONAL STUDIES  \n",
       "1                                                UNIVERSITY NEIGHBORHOOD HIGH SCHOOL  \n",
       "2                                                         EAST SIDE COMMUNITY SCHOOL  \n",
       "3                                                            MARTA VALLE HIGH SCHOOL  \n",
       "4                     NEW EXPLORATIONS INTO SCIENCE, TECHNOLOGY AND MATH HIGH SCHOOL  \n",
       "5                                                     BARD HIGH SCHOOL EARLY COLLEGE  \n",
       "6                         47 THE AMERICAN SIGN LANGUAGE AND ENGLISH SECONDARY SCHOOL  \n",
       "7                                                       FOOD AND FINANCE HIGH SCHOOL  \n",
       "8                                                               ESSEX STREET ACADEMY  \n",
       "9                                              HIGH SCHOOL OF HOSPITALITY MANAGEMENT  \n",
       "10                                                                  PACE HIGH SCHOOL  \n",
       "11                             URBAN ASSEMBLY SCHOOL OF DESIGN AND CONSTRUCTION, THE  \n",
       "12                                                        FACING HISTORY SCHOOL, THE  \n",
       "13                                 URBAN ASSEMBLY ACADEMY OF GOVERNMENT AND LAW, THE  \n",
       "14                                                      LOWER MANHATTAN ARTS ACADEMY  \n",
       "15                            URBAN ASSEMBLY SCHOOL OF BUSINESS FOR YOUNG WOMEN, THE  \n",
       "16                                                         GRAMERCY ARTS HIGH SCHOOL  \n",
       "17                                                                       NYC ISCHOOL  \n",
       "18                                                        MANHATTAN BUSINESS ACADEMY  \n",
       "19                                                         BUSINESS OF SPORTS SCHOOL  \n",
       "20                                        THE HIGH SCHOOL FOR LANGUAGE AND DIPLOMACY  \n",
       "21                                             HIGH SCHOOL FOR ENVIRONMENTAL STUDIES  \n",
       "22                                          PROFESSIONAL PERFORMING ARTS HIGH SCHOOL  \n",
       "23                                                 BARUCH COLLEGE CAMPUS HIGH SCHOOL  \n",
       "24                                       N.Y.C. LAB SCHOOL FOR COLLABORATIVE STUDIES  \n",
       "25                                                              N.Y.C. MUSEUM SCHOOL  \n",
       "26                                                     ELEANOR ROOSEVELT HIGH SCHOOL  \n",
       "27                                                            MILLENNIUM HIGH SCHOOL  \n",
       "28                                                              LANDMARK HIGH SCHOOL  \n",
       "29                             HIGH SCHOOL FOR HEALTH PROFESSIONS AND HUMAN SERVICES  \n",
       "30                                         LEADERSHIP AND PUBLIC SERVICE HIGH SCHOOL  \n",
       "31                                             MANHATTAN ACADEMY FOR ARTS & LANGUAGE  \n",
       "32                                       HUDSON HIGH SCHOOL OF LEARNING TECHNOLOGIES  \n",
       "33                                         INTERNATIONAL HIGH SCHOOL AT UNION SQUARE  \n",
       "34                                                         MANHATTAN VILLAGE ACADEMY  \n",
       "35                                                              VANGUARD HIGH SCHOOL  \n",
       "36                                               MANHATTAN INTERNATIONAL HIGH SCHOOL  \n",
       "37                                                            STUYVESANT HIGH SCHOOL  \n",
       "38                                              HIGH SCHOOL OF ECONOMICS AND FINANCE  \n",
       "39                                               UNITY CENTER FOR URBAN TECHNOLOGIES  \n",
       "40                                                      TALENT UNLIMITED HIGH SCHOOL  \n",
       "41                                  MURRY BERGTRAUM HIGH SCHOOL FOR BUSINESS CAREERS  \n",
       "42                                            JACQUELINE KENNEDY ONASSIS HIGH SCHOOL  \n",
       "43                                    REPERTORY COMPANY HIGH SCHOOL FOR THEATRE ARTS  \n",
       "44                                                     MANHATTAN BRIDGES HIGH SCHOOL  \n",
       "45                                                            NEW DESIGN HIGH SCHOOL  \n",
       "46                                   HIGH SCHOOL FOR DUAL LANGUAGE AND ASIAN STUDIES  \n",
       "47                                         THE URBAN ASSEMBLY NEW YORK HARBOR SCHOOL  \n",
       "48                                          RICHARD R. GREEN HIGH SCHOOL OF TEACHING  \n",
       "49                                             THE HIGH SCHOOL OF FASHION INDUSTRIES  \n",
       "50                                                    HUMANITIES PREPARATORY ACADEMY  \n",
       "51                                CHELSEA CAREER AND TECHNICAL EDUCATION HIGH SCHOOL  \n",
       "52                                                        ART AND DESIGN HIGH SCHOOL  \n",
       "53                                                    LIFE SCIENCES SECONDARY SCHOOL  \n",
       "54                                     HIGH SCHOOL FOR ARTS, IMAGINATION AND INQUIRY  \n",
       "55                                      URBAN ASSEMBLY SCHOOL FOR MEDIA STUDIES, THE  \n",
       "56                                       THE URBAN ASSEMBLY SCHOOL FOR GREEN CAREERS  \n",
       "57                                                 THE GLOBAL LEARNING COLLABORATIVE  \n",
       "58                        WADLEIGH SECONDARY SCHOOL FOR THE PERFORMING & VISUAL ARTS  \n",
       "59                                                         FRANK MCCOURT HIGH SCHOOL  \n",
       "60                                                                BEACON HIGH SCHOOL  \n",
       "61              FIORELLO H. LAGUARDIA HIGH SCHOOL OF MUSIC & ART AND PERFORMING ARTS  \n",
       "62                               HIGH SCHOOL FOR LAW, ADVOCACY AND COMMUNITY JUSTICE  \n",
       "63                                                HIGH SCHOOL OF ARTS AND TECHNOLOGY  \n",
       "64                                            MANHATTAN / HUNTER SCIENCE HIGH SCHOOL  \n",
       "65                                    FREDERICK DOUGLASS ACADEMY II SECONDARY SCHOOL  \n",
       "66                                                COALITION SCHOOL FOR SOCIAL CHANGE  \n",
       "67                                      MANHATTAN CENTER FOR SCIENCE AND MATHEMATICS  \n",
       "68                                                             PARK EAST HIGH SCHOOL  \n",
       "69                                                     CENTRAL PARK EAST HIGH SCHOOL  \n",
       "70                                                   YOUNG WOMEN'S LEADERSHIP SCHOOL  \n",
       "71                                                   YOUNG WOMEN'S LEADERSHIP SCHOOL  \n",
       "72                                                              HERITAGE SCHOOL, THE  \n",
       "73                                                             MOTT HALL HIGH SCHOOL  \n",
       "74                      COLUMBIA SECONDARY SCHOOL FOR MATH, SCIENCE, AND ENGINEERING  \n",
       "75                                 ACADEMY FOR SOCIAL ACTION: A COLLEGE BOARD SCHOOL  \n",
       "76                                     URBAN ASSEMBLY SCHOOL FOR THE PERFORMING ARTS  \n",
       "77                                                        FREDERICK DOUGLASS ACADEMY  \n",
       "78                          THURGOOD MARSHALL ACADEMY FOR LEARNING AND SOCIAL CHANGE  \n",
       "79              HIGH SCHOOL FOR MATHEMATICS, SCIENCE AND ENGINEERING AT CITY COLLEGE  \n",
       "80                                                  CITY COLLEGE ACADEMY OF THE ARTS  \n",
       "81                                           COMMUNITY HEALTH ACADEMY OF THE HEIGHTS  \n",
       "82                                  WASHINGTON HEIGHTS EXPEDITIONARY LEARNING SCHOOL  \n",
       "83                                         HIGH SCHOOL FOR EXCELLENCE AND INNOVATION  \n",
       "84                                HIGH SCHOOL FOR INTERNATIONAL BUSINESS AND FINANCE  \n",
       "85                                          HIGH SCHOOL FOR MEDIA AND COMMUNICATIONS  \n",
       "86                                            HIGH SCHOOL FOR LAW AND PUBLIC SERVICE  \n",
       "87                                       HIGH SCHOOL FOR HEALTH CAREERS AND SCIENCES  \n",
       "88                                             A. PHILIP RANDOLPH CAMPUS HIGH SCHOOL  \n",
       "89                          GREGORIO LUPERON HIGH SCHOOL FOR SCIENCE AND MATHEMATICS  \n",
       "90                                   SOUTH BRONX PREPARATORY: A COLLEGE BOARD SCHOOL  \n",
       "91                                               INTERNATIONAL COMMUNITY HIGH SCHOOL  \n",
       "92                                               COMMUNITY SCHOOL FOR SOCIAL JUSTICE  \n",
       "93                                        MOTT HAVEN VILLAGE PREPARATORY HIGH SCHOOL  \n",
       "94                                               UNIVERSITY HEIGHTS SECONDARY SCHOOL  \n",
       "95                                                 HOSTOSsLINCOLN ACADEMY OF SCIENCE  \n",
       "96                                        FOREIGN LANGUAGE ACADEMY OF GLOBAL STUDIES  \n",
       "97                                           BRONX LEADERSHIP ACADEMY II HIGH SCHOOL  \n",
       "98                                                         NEW EXPLORERS HIGH SCHOOL  \n",
       "99                                       URBAN ASSEMBLY SCHOOL FOR CAREERS IN SPORTS  \n",
       "100                                                         BRONX ACADEMY OF LETTERS  \n",
       "101                       ALFRED E. SMITH CAREER AND TECHNICAL EDUCATION HIGH SCHOOL  \n",
       "102                                                 HEALTH OPPORTUNITIES HIGH SCHOOL  \n",
       "103                                      BRONX STUDIO SCHOOL FOR WRITERS AND ARTISTS  \n",
       "104                                                    WOMEN'S ACADEMY OF EXCELLENCE  \n",
       "105                         RENAISSANCE HIGH SCHOOL FOR MUSICAL THEATER & TECHNOLOGY  \n",
       "106                          PABLO NERUDA ACADEMY FOR ARCHITECTURE AND WORLD STUDIES  \n",
       "107                                                           MILLENNIUM ART ACADEMY  \n",
       "108                                  HOLCOMBE L. RUCKER SCHOOL OF COMMUNITY RESEARCH  \n",
       "109                      ANTONIA PANTOJA PREPARATORY ACADEMY, A COLLEGE BOARD SCHOOL  \n",
       "110                                                    HERBERT H. LEHMAN HIGH SCHOOL  \n",
       "111                                                        BRONX BRIDGES HIGH SCHOOL  \n",
       "112                FELISA RINCON DE GAUTIER INSTITUTE FOR LAW AND PUBLIC POLICY, THE  \n",
       "113                                                         BANANA KELLY HIGH SCHOOL  \n",
       "114                                         BRONX EXPEDITIONARY LEARNING HIGH SCHOOL  \n",
       "115                                                      EAGLE ACADEMY FOR YOUNG MEN  \n",
       "116                          URBAN ASSEMBLY SCHOOL FOR APPLIED MATH AND SCIENCE, THE  \n",
       "117                      EXIMIUS COLLEGE PREPARATORY ACADEMY: A COLLEGE BOARD SCHOOL  \n",
       "118                                                      MOTT HALL BRONX HIGH SCHOOL  \n",
       "119                                         BRONX CENTER FOR SCIENCE AND MATHEMATICS  \n",
       "120                    VALIDUS PREPARATORY ACADEMY: AN EXPEDITIONARY LEARNING SCHOOL  \n",
       "121                                                             LEADERSHIP INSTITUTE  \n",
       "122                                         MORRIS ACADEMY FOR COLLABORATIVE STUDIES  \n",
       "123                              BRONX EARLY COLLEGE ACADEMY FOR TEACHING & LEARNING  \n",
       "124                                                     DREAMYARD PREPARATORY SCHOOL  \n",
       "125                                              ACADEMY FOR LANGUAGE AND TECHNOLOGY  \n",
       "126                                                  BRONX INTERNATIONAL HIGH SCHOOL  \n",
       "127                                                            SCHOOL FOR EXCELLENCE  \n",
       "128                                                    BRONX HIGH SCHOOL OF BUSINESS  \n",
       "129                                            BRONX HIGH SCHOOL FOR MEDICAL SCIENCE  \n",
       "130                                     BRONX SCHOOL FOR LAW, GOVERNMENT AND JUSTICE  \n",
       "131                                  FREDERICK DOUGLASS ACADEMY III SECONDARY SCHOOL  \n",
       "132                                             BRONX LEADERSHIP ACADEMY HIGH SCHOOL  \n",
       "133                                                 HIGH SCHOOL FOR VIOLIN AND DANCE  \n",
       "134                RIVERDALE / KINGSBRIDGE ACADEMY (MIDDLE SCHOOL / HIGH SCHOOL 141)  \n",
       "135                                         BRONX ENGINEERING AND TECHNOLOGY ACADEMY  \n",
       "136                                           THEATRE ARTS PRODUCTION COMPANY SCHOOL  \n",
       "137             THE MARIE CURIE SCHOOL FOR MEDICINE, NURSING, AND HEALTH PROFESSIONS  \n",
       "138                                                WEST BRONX ACADEMY FOR THE FUTURE  \n",
       "139                                            KINGSBRIDGE INTERNATIONAL HIGH SCHOOL  \n",
       "140                                                  BRONX SCHOOL OF LAW AND FINANCE  \n",
       "141                                            INTERNATIONAL SCHOOL FOR LIBERAL ARTS  \n",
       "142                                         INsTECH ACADEMY (M.S. / HIGH SCHOOL 368)  \n",
       "143        KNOWLEDGE AND POWER PREPARATORY ACADEMY INTERNATIONAL HIGH SCHOOL (KAPPA)  \n",
       "144                                     HIGH SCHOOL FOR TEACHING AND THE PROFESSIONS  \n",
       "145                                                  BELMONT PREPARATORY HIGH SCHOOL  \n",
       "146                                                 FORDHAM HIGH SCHOOL FOR THE ARTS  \n",
       "147                           FORDHAM LEADERSHIP ACADEMY FOR BUSINESS AND TECHNOLOGY  \n",
       "148                                  BRONX HIGH SCHOOL FOR LAW AND COMMUNITY SERVICE  \n",
       "149                                                       DEWITT CLINTON HIGH SCHOOL  \n",
       "150                                       CELIA CRUZ BRONX HIGH SCHOOL OF MUSIC, THE  \n",
       "151                                                     BRONX HIGH SCHOOL OF SCIENCE  \n",
       "152                                MARBLE HILL HIGH SCHOOL FOR INTERNATIONAL STUDIES  \n",
       "153                                                        BRONX THEATRE HIGH SCHOOL  \n",
       "154                                                            DISCOVERY HIGH SCHOOL  \n",
       "155                                HIGH SCHOOL OF AMERICAN STUDIES AT LEHMAN COLLEGE  \n",
       "156                                                BRONX HEALTH SCIENCES HIGH SCHOOL  \n",
       "157                             BRONX HIGH SCHOOL FOR WRITING AND COMMUNICATION ARTS  \n",
       "158                                                                 BRONX LAB SCHOOL  \n",
       "159             ACADEMY FOR SCHOLARSHIP AND ENTREPRENEURSHIP: A COLLEGE BOARD SCHOOL  \n",
       "160                                          HIGH SCHOOL OF COMPUTERS AND TECHNOLOGY  \n",
       "161                                        COLLEGIATE INSTITUTE FOR MATH AND SCIENCE  \n",
       "162                                                  BRONX ACADEMY OF HEALTH CAREERS  \n",
       "163                                                         ASTOR COLLEGIATE ACADEMY  \n",
       "164                                            BRONX HIGH SCHOOL FOR THE VISUAL ARTS  \n",
       "165                                                       HARRY S TRUMAN HIGH SCHOOL  \n",
       "166                                                            NEW WORLD HIGH SCHOOL  \n",
       "167                                                THE BRONXWOOD PREPARATORY ACADEMY  \n",
       "168                                                       PELHAM PREPARATORY ACADEMY  \n",
       "169                                                HIGH SCHOOL FOR CONTEMPORARY ARTS  \n",
       "170                                                      BRONX AEROSPACE HIGH SCHOOL  \n",
       "171                                                    METROPOLITAN HIGH SCHOOL, THE  \n",
       "172                                                             EXPLORATIONS ACADEMY  \n",
       "173                                                                      BRONX LATIN  \n",
       "174                                                EAST BRONX ACADEMY FOR THE FUTURE  \n",
       "175                                                      PEACE AND DIVERSITY ACADEMY  \n",
       "176                                 PAN AMERICAN INTERNATIONAL HIGH SCHOOL AT MONROE  \n",
       "177                                                                THE CINEMA SCHOOL  \n",
       "178                                 BRONX CAREER AND COLLEGE PREPARATORY HIGH SCHOOL  \n",
       "179                                                    HIGH SCHOOL OF WORLD CULTURES  \n",
       "180                                             FANNIE LOU HAMER FREEDOM HIGH SCHOOL  \n",
       "181                                                                    WINGS ACADEMY  \n",
       "182                                          MONROE ACADEMY FOR VISUAL ARTS & DESIGN  \n",
       "183                               DR. SUSAN S. MCKINNEY SECONDARY SCHOOL OF THE ARTS  \n",
       "184                                      URBAN ASSEMBLY HIGH SCHOOL OF MUSIC AND ART  \n",
       "185                  BROOKLYN COMMUNITY HIGH SCHOOL OF COMMUNICATION, ARTS AND MEDIA  \n",
       "186  SCIENCE SKILLS CENTER HIGH SCHOOL FOR SCIENCE, TECHNOLOGY AND THE CREATIVE ARTS  \n",
       "187                                                   BROOKLYN TECHNICAL HIGH SCHOOL  \n",
       "188                                               BROOKLYN INTERNATIONAL HIGH SCHOOL  \n",
       "189                                    THE URBAN ASSEMBLY SCHOOL FOR LAW AND JUSTICE  \n",
       "190                                                      ACORN COMMUNITY HIGH SCHOOL  \n",
       "191                     URBAN ASSEMBLY INSTITUTE OF MATH AND SCIENCE FOR YOUNG WOMEN  \n",
       "192                                                      BEDFORD ACADEMY HIGH SCHOOL  \n",
       "193                   GEORGE WESTINGHOUSE CAREER AND TECHNICAL EDUCATION HIGH SCHOOL  \n",
       "194                                                        BENJAMIN BANNEKER ACADEMY  \n",
       "195        CITY POLYTECHNIC HIGH SCHOOL OF ENGINEERING, ARCHITECTURE, AND TECHNOLOGY  \n",
       "196                                               JUAN MOREL CAMPOS SECONDARY SCHOOL  \n",
       "197                                                              FOUNDATIONS ACADEMY  \n",
       "198                                                       BROOKLYN LATIN SCHOOL, THE  \n",
       "199                               GREEN SCHOOL: AN ACADEMY FOR ENVIRONMENTAL CAREERS  \n",
       "200                                    PROGRESS HIGH SCHOOL FOR PROFESSIONAL CAREERS  \n",
       "201                                                         SCHOOL FOR LEGAL STUDIES  \n",
       "202                          THE HIGH SCHOOL FOR ENTERPRISE, BUSINESS AND TECHNOLOGY  \n",
       "203                                                 BROOKLYN PREPARATORY HIGH SCHOOL  \n",
       "204                             WILLIAMSBURG HIGH SCHOOL FOR ARCHITECTURE AND DESIGN  \n",
       "205                                                  WILLIAMSBURG PREPARATORY SCHOOL  \n",
       "206                                                           LYONS COMMUNITY SCHOOL  \n",
       "207                                                           AUTOMOTIVE HIGH SCHOOL  \n",
       "208                                                          FRANCES PERKINS ACADEMY  \n",
       "209                                          EL PUENTE ACADEMY FOR PEACE AND JUSTICE  \n",
       "210                                               BROOKLYN SCHOOL FOR GLOBAL STUDIES  \n",
       "211                              BROOKLYN SECONDARY SCHOOL FOR COLLABORATIVE STUDIES  \n",
       "212                                                         SECONDARY SCHOOL FOR LAW  \n",
       "213                                                  SECONDARY SCHOOL FOR JOURNALISM  \n",
       "214                                                            PARK SLOPE COLLEGIATE  \n",
       "215                                                 SCHOOL FOR INTERNATIONAL STUDIES  \n",
       "216                                           COBBLE HILL SCHOOL OF AMERICAN STUDIES  \n",
       "217                                                 BROOKLYN HIGH SCHOOL OF THE ARTS  \n",
       "218                                                          SUNSET PARK HIGH SCHOOL  \n",
       "219                                   FREDERICK DOUGLASS ACADEMY IV SECONDARY SCHOOL  \n",
       "220                                                       BOYS AND GIRLS HIGH SCHOOL  \n",
       "221                                      BROOKLYN HIGH SCHOOL FOR LAW AND TECHNOLOGY  \n",
       "222                                           THE BROOKLYN ACADEMY OF GLOBAL FINANCE  \n",
       "223   ACADEMY FOR COLLEGE PREPARATION AND CAREER EXPLORATION: A COLLEGE BOARD SCHOOL  \n",
       "224                                               ACADEMY OF HOSPITALITY AND TOURISM  \n",
       "225                                    INTERNATIONAL HIGH SCHOOL AT PROSPECT HEIGHTS  \n",
       "226                                           THE HIGH SCHOOL FOR GLOBAL CITIZENSHIP  \n",
       "227                                                     SCHOOL FOR HUMAN RIGHTS, THE  \n",
       "228                                              SCHOOL FOR DEMOCRACY AND LEADERSHIP  \n",
       "229                       HIGH SCHOOL FOR YOUTH AND COMMUNITY DEVELOPMENT AT ERASMUS  \n",
       "230                                    HIGH SCHOOL FOR SERVICE & LEARNING AT ERASMUS  \n",
       "231            SCIENCE, TECHNOLOGY AND RESEARCH EARLY COLLEGE HIGH SCHOOL AT ERASMUS  \n",
       "232                               HIGH SCHOOL FOR PUBLIC SERVICE: HEROES OF TOMORROW  \n",
       "233                                  BROOKLYN ACADEMY OF SCIENCE AND THE ENVIRONMENT  \n",
       "234                                              BROOKLYN SCHOOL FOR MUSIC & THEATRE  \n",
       "235                                          MEDGAR EVERS COLLEGE PREPARATORY SCHOOL  \n",
       "236                                                         CLARA BARTON HIGH SCHOOL  \n",
       "237                                                       IT TAKES A VILLAGE ACADEMY  \n",
       "238                                                       BROOKLYN GENERATION SCHOOL  \n",
       "239                                                BROOKLYN THEATRE ARTS HIGH SCHOOL  \n",
       "240                                          KURT HAHN EXPEDITIONARY LEARNING SCHOOL  \n",
       "241                                                   VICTORY COLLEGIATE HIGH SCHOOL  \n",
       "242                                                 ARTS & MEDIA PREPARATORY ACADEMY  \n",
       "243                              HIGH SCHOOL FOR INNOVATION IN ADVERTISING AND MEDIA  \n",
       "244                                       CULTURAL ACADEMY FOR THE ARTS AND SCIENCES  \n",
       "245                                              HIGH SCHOOL FOR MEDICAL PROFESSIONS  \n",
       "246                                     ACADEMY FOR CONSERVATION AND THE ENVIRONMENT  \n",
       "247                                                             URBAN ACTION ACADEMY  \n",
       "248                                                     EAST NEW YORK FAMILY ACADEMY  \n",
       "249                                        FDNY HIGH SCHOOL FOR FIRE AND LIFE SAFETY  \n",
       "250                                                     HIGH SCHOOL FOR CIVIL RIGHTS  \n",
       "251                                       PERFORMING ARTS AND TECHNOLOGY HIGH SCHOOL  \n",
       "252                             WORLD ACADEMY FOR TOTAL COMMUNITY HEALTH HIGH SCHOOL  \n",
       "253                                                        MULTICULTURAL HIGH SCHOOL  \n",
       "254                          TRANSIT TECH CAREER AND TECHNICAL EDUCATION HIGH SCHOOL  \n",
       "255                                                 ACADEMY OF INNOVATIVE TECHNOLOGY  \n",
       "256                                                              BROOKLYN LAB SCHOOL  \n",
       "257                                      CYPRESS HILLS COLLEGIATE PREPARATORY SCHOOL  \n",
       "258                         W. H. MAXWELL CAREER AND TECHNICAL EDUCATION HIGH SCHOOL  \n",
       "259          THE SCHOOL FOR CLASSICS: AN ACADEMY OF THINKERS, WRITERS AND PERFORMERS  \n",
       "260                                                          NEW UTRECHT HIGH SCHOOL  \n",
       "261                             HIGH SCHOOL OF TELECOMMUNICATION ARTS AND TECHNOLOGY  \n",
       "262                                                        FORT HAMILTON HIGH SCHOOL  \n",
       "263                                            FRANKLIN DELANO ROOSEVELT HIGH SCHOOL  \n",
       "264                                   THE URBAN ASSEMBLY SCHOOL FOR CRIMINAL JUSTICE  \n",
       "265                                           INTERNATIONAL HIGH SCHOOL AT LAFAYETTE  \n",
       "266                                    RACHEL CARSON HIGH SCHOOL FOR COASTAL STUDIES  \n",
       "267                                                 HIGH SCHOOL OF SPORTS MANAGEMENT  \n",
       "268                                                      ABRAHAM LINCOLN HIGH SCHOOL  \n",
       "269                                                KINGSBOROUGH EARLY COLLEGE SCHOOL  \n",
       "270                                                     EDWARD R. MURROW HIGH SCHOOL  \n",
       "271                                                           JOHN DEWEY HIGH SCHOOL  \n",
       "272                                      LIFE ACADEMY HIGH SCHOOL FOR FILM AND MUSIC  \n",
       "273                              EXPEDITIONARY LEARNING SCHOOL FOR COMMUNITY LEADERS  \n",
       "274                      WILLIAM E. GRADY CAREER AND TECHNICAL EDUCATION HIGH SCHOOL  \n",
       "275                                                 BROOKLYN STUDIO SECONDARY SCHOOL  \n",
       "276                                                              MIDWOOD HIGH SCHOOL  \n",
       "277                                                        JAMES MADISON HIGH SCHOOL  \n",
       "278                                   LEON M. GOLDSTEIN HIGH SCHOOL FOR THE SCIENCES  \n",
       "279                                                         BROOKLYN COLLEGE ACADEMY  \n",
       "280                                      BROOKLYN COLLEGIATE: A COLLEGE BOARD SCHOOL  \n",
       "281                                       FREDERICK DOUGLASS ACADEMY VII HIGH SCHOOL  \n",
       "282                                                 TEACHERS PREPARATORY HIGH SCHOOL  \n",
       "283                                                ACADEMY OF FINANCE AND ENTERPRISE  \n",
       "284                                             HIGH SCHOOL OF APPLIED COMMUNICATION  \n",
       "285                                                         CIVIC LEADERSHIP ACADEMY  \n",
       "286                                           PAN AMERICAN INTERNATIONAL HIGH SCHOOL  \n",
       "287                                                BARD HIGH SCHOOL EARLY COLLEGE II  \n",
       "288                                                              NEWTOWN HIGH SCHOOL  \n",
       "289                                                     GROVER CLEVELAND HIGH SCHOOL  \n",
       "290                        MIDDLE COLLEGE HIGH SCHOOL AT LAGUARDIA COMMUNITY COLLEGE  \n",
       "291                         INTERNATIONAL HIGH SCHOOL AT LAGUARDIA COMMUNITY COLLEGE  \n",
       "292                                                HIGH SCHOOL FOR ARTS AND BUSINESS  \n",
       "293                   ROBERT F. WAGNER, JR. SECONDARY SCHOOL FOR ARTS AND TECHNOLOGY  \n",
       "294                                      QUEENS VOCATIONAL AND TECHNICAL HIGH SCHOOL  \n",
       "295                                AVIATION CAREER & TECHNICAL EDUCATION HIGH SCHOOL  \n",
       "296                                                    QUEENS SCHOOL OF INQUIRY, THE  \n",
       "297                                               FLUSHING INTERNATIONAL HIGH SCHOOL  \n",
       "298                                        EASTsWEST SCHOOL OF INTERNATIONAL STUDIES  \n",
       "299                             WORLD JOURNALISM PREPARATORY: A COLLEGE BOARD SCHOOL  \n",
       "300                                                           JOHN BOWNE HIGH SCHOOL  \n",
       "301                                                             FLUSHING HIGH SCHOOL  \n",
       "302                                                      TOWNSEND HARRIS HIGH SCHOOL  \n",
       "303                                          ROBERT F. KENNEDY COMMUNITY HIGH SCHOOL  \n",
       "304                                                  BENJAMIN N. CARDOZO HIGH SCHOOL  \n",
       "305                                                        FRANCIS LEWIS HIGH SCHOOL  \n",
       "306                                                     MARTIN VAN BUREN HIGH SCHOOL  \n",
       "307                                                              BAYSIDE HIGH SCHOOL  \n",
       "308                    QUEENS HIGH SCHOOL OF TEACHING, LIBERAL ARTS AND THE SCIENCES  \n",
       "309                                        FREDERICK DOUGLASS ACADEMY VI HIGH SCHOOL  \n",
       "310                                                 CHANNEL VIEW SCHOOL FOR RESEARCH  \n",
       "311                     QUEENS HIGH SCHOOL FOR INFORMATION, RESEARCH, AND TECHNOLOGY  \n",
       "312               ROBERT H. GODDARD HIGH SCHOOL OF COMMUNICATION ARTS AND TECHNOLOGY  \n",
       "313                            ACADEMY OF MEDICAL TECHNOLOGY: A COLLEGE BOARD SCHOOL  \n",
       "314                                                                SCHOLARS' ACADEMY  \n",
       "315                                                        AUGUST MARTIN HIGH SCHOOL  \n",
       "316                                                        RICHMOND HILL HIGH SCHOOL  \n",
       "317                                                           JOHN ADAMS HIGH SCHOOL  \n",
       "318                HIGH SCHOOL FOR CONSTRUCTION TRADES, ENGINEERING AND ARCHITECTURE  \n",
       "319                                                       YORK EARLY COLLEGE ACADEMY  \n",
       "320                                        QUEENS COLLEGIATE: A COLLEGE BOARD SCHOOL  \n",
       "321                                                  HILLSIDE ARTS & LETTERS ACADEMY  \n",
       "322                                                         FOREST HILLS HIGH SCHOOL  \n",
       "323                                                            HILLCREST HIGH SCHOOL  \n",
       "324                      THOMAS A. EDISON CAREER AND TECHNICAL EDUCATION HIGH SCHOOL  \n",
       "325                               QUEENS GATEWAY TO HEALTH SCIENCES SECONDARY SCHOOL  \n",
       "326                                                  QUEENS METROPOLITAN HIGH SCHOOL  \n",
       "327                              QUEENS HIGH SCHOOL FOR THE SCIENCES AT YORK COLLEGE  \n",
       "328                                HIGH SCHOOL FOR LAW ENFORCEMENT AND PUBLIC SAFETY  \n",
       "329                                          YOUNG WOMEN'S LEADERSHIP SCHOOL, QUEENS  \n",
       "330                                                       QUEENS PREPARATORY ACADEMY  \n",
       "331                      PATHWAYS COLLEGE PREPARATORY SCHOOL: A COLLEGE BOARD SCHOOL  \n",
       "332                                                EXCELSIOR PREPARATORY HIGH SCHOOL  \n",
       "333                            GEORGE WASHINGTON CARVER HIGH SCHOOL FOR THE SCIENCES  \n",
       "334                          PREPARATORY ACADEMY FOR WRITERS: A COLLEGE BOARD SCHOOL  \n",
       "335                                                          CAMBRIA HEIGHTS ACADEMY  \n",
       "336                  MATHEMATICS, SCIENCE RESEARCH AND TECHNOLOGY MAGNET HIGH SCHOOL  \n",
       "337                                             HUMANITIES & ARTS MAGNET HIGH SCHOOL  \n",
       "338                                         YOUNG WOMEN'S LEADERSHIP SCHOOL, ASTORIA  \n",
       "339                                       ACADEMY FOR CAREERS IN TELEVISION AND FILM  \n",
       "340                                                WILLIAM CULLEN BRYANT HIGH SCHOOL  \n",
       "341                                                     LONG ISLAND CITY HIGH SCHOOL  \n",
       "342                                     FRANK SINATRA SCHOOL OF THE ARTS HIGH SCHOOL  \n",
       "343                                               INFORMATION TECHNOLOGY HIGH SCHOOL  \n",
       "344                                                            NEWCOMERS HIGH SCHOOL  \n",
       "345                                                      ACADEMY OF AMERICAN STUDIES  \n",
       "346                                        BACCALAUREATE SCHOOL FOR GLOBAL EDUCATION  \n",
       "347                                        CSI HIGH SCHOOL FOR INTERNATIONAL STUDIES  \n",
       "348                                      GAYNOR MCCOWN EXPEDITIONARY LEARNING SCHOOL  \n",
       "349                                                   THE MICHAEL J. PETRIDES SCHOOL  \n",
       "350                                                             NEW DORP HIGH SCHOOL  \n",
       "351                                                        PORT RICHMOND HIGH SCHOOL  \n",
       "352                                                               CURTIS HIGH SCHOOL  \n",
       "353                                                          TOTTENVILLE HIGH SCHOOL  \n",
       "354                                                      SUSAN E. WAGNER HIGH SCHOOL  \n",
       "355                        RALPH R. MCKEE CAREER AND TECHNICAL EDUCATION HIGH SCHOOL  \n",
       "356                                              STATEN ISLAND TECHNICAL HIGH SCHOOL  \n",
       "357                                             ACADEMY FOR ENVIRONMENTAL LEADERSHIP  \n",
       "358                                      EBC HIGH SCHOOL FOR PUBLIC SERVICE–BUSHWICK  \n",
       "359                                               BUSHWICK SCHOOL FOR SOCIAL JUSTICE  \n",
       "360                                                        ACADEMY OF URBAN PLANNING  \n",
       "361                                             ALL CITY LEADERSHIP SECONDARY SCHOOL  \n",
       "362                             BUSHWICK LEADERS HIGH SCHOOL FOR ACADEMIC EXCELLENCE  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined[[\"ell_percent\", \"SCHOOL NAME\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "district = combined.groupby(\"school_dist\").agg(\"mean\").reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "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>school_dist</th>\n",
       "      <th>SAT Critical Reading Avg. Score</th>\n",
       "      <th>SAT Math Avg. Score</th>\n",
       "      <th>SAT Writing Avg. Score</th>\n",
       "      <th>sat_score</th>\n",
       "      <th>AP Test Takers</th>\n",
       "      <th>Total Exams Taken</th>\n",
       "      <th>Number of Exams with scores 3 4 or 5</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads - % of cohort</th>\n",
       "      <th>...</th>\n",
       "      <th>eng_t_11</th>\n",
       "      <th>aca_t_11</th>\n",
       "      <th>saf_s_11</th>\n",
       "      <th>com_s_11</th>\n",
       "      <th>eng_s_11</th>\n",
       "      <th>aca_s_11</th>\n",
       "      <th>saf_tot_11</th>\n",
       "      <th>com_tot_11</th>\n",
       "      <th>eng_tot_11</th>\n",
       "      <th>aca_tot_11</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01</td>\n",
       "      <td>441.833333</td>\n",
       "      <td>473.333333</td>\n",
       "      <td>439.333333</td>\n",
       "      <td>1354.500000</td>\n",
       "      <td>116.681090</td>\n",
       "      <td>173.019231</td>\n",
       "      <td>135.800000</td>\n",
       "      <td>93.500000</td>\n",
       "      <td>71.333333</td>\n",
       "      <td>...</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>6.768611</td>\n",
       "      <td>6.165787</td>\n",
       "      <td>6.736713</td>\n",
       "      <td>7.446898</td>\n",
       "      <td>7.433333</td>\n",
       "      <td>6.816667</td>\n",
       "      <td>7.116667</td>\n",
       "      <td>7.683333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02</td>\n",
       "      <td>426.619092</td>\n",
       "      <td>444.186256</td>\n",
       "      <td>424.832836</td>\n",
       "      <td>1142.708333</td>\n",
       "      <td>128.908454</td>\n",
       "      <td>201.516827</td>\n",
       "      <td>157.495833</td>\n",
       "      <td>158.647849</td>\n",
       "      <td>75.453574</td>\n",
       "      <td>...</td>\n",
       "      <td>7.120833</td>\n",
       "      <td>7.564583</td>\n",
       "      <td>6.910660</td>\n",
       "      <td>6.204057</td>\n",
       "      <td>6.650422</td>\n",
       "      <td>7.385029</td>\n",
       "      <td>7.520833</td>\n",
       "      <td>6.720833</td>\n",
       "      <td>7.037500</td>\n",
       "      <td>7.541667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03</td>\n",
       "      <td>428.529851</td>\n",
       "      <td>437.997512</td>\n",
       "      <td>426.915672</td>\n",
       "      <td>987.583333</td>\n",
       "      <td>156.183494</td>\n",
       "      <td>244.522436</td>\n",
       "      <td>193.087500</td>\n",
       "      <td>183.384409</td>\n",
       "      <td>74.029937</td>\n",
       "      <td>...</td>\n",
       "      <td>6.533333</td>\n",
       "      <td>6.991667</td>\n",
       "      <td>6.716667</td>\n",
       "      <td>6.258333</td>\n",
       "      <td>6.633333</td>\n",
       "      <td>7.375000</td>\n",
       "      <td>7.233333</td>\n",
       "      <td>6.616667</td>\n",
       "      <td>6.891667</td>\n",
       "      <td>7.391667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04</td>\n",
       "      <td>402.142857</td>\n",
       "      <td>416.285714</td>\n",
       "      <td>405.714286</td>\n",
       "      <td>1224.142857</td>\n",
       "      <td>129.016484</td>\n",
       "      <td>183.879121</td>\n",
       "      <td>151.035714</td>\n",
       "      <td>113.857143</td>\n",
       "      <td>76.257143</td>\n",
       "      <td>...</td>\n",
       "      <td>7.428571</td>\n",
       "      <td>7.885714</td>\n",
       "      <td>6.885714</td>\n",
       "      <td>6.114286</td>\n",
       "      <td>6.685714</td>\n",
       "      <td>7.571429</td>\n",
       "      <td>7.714286</td>\n",
       "      <td>6.942857</td>\n",
       "      <td>7.185714</td>\n",
       "      <td>7.785714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05</td>\n",
       "      <td>427.159915</td>\n",
       "      <td>438.236674</td>\n",
       "      <td>419.666098</td>\n",
       "      <td>1110.285714</td>\n",
       "      <td>85.722527</td>\n",
       "      <td>115.725275</td>\n",
       "      <td>142.464286</td>\n",
       "      <td>143.677419</td>\n",
       "      <td>75.200881</td>\n",
       "      <td>...</td>\n",
       "      <td>6.242857</td>\n",
       "      <td>6.957143</td>\n",
       "      <td>6.314286</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.428571</td>\n",
       "      <td>7.285714</td>\n",
       "      <td>7.085714</td>\n",
       "      <td>6.414286</td>\n",
       "      <td>6.671429</td>\n",
       "      <td>7.314286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06</td>\n",
       "      <td>382.011940</td>\n",
       "      <td>400.565672</td>\n",
       "      <td>382.066269</td>\n",
       "      <td>1042.300000</td>\n",
       "      <td>108.711538</td>\n",
       "      <td>159.715385</td>\n",
       "      <td>105.425000</td>\n",
       "      <td>180.848387</td>\n",
       "      <td>69.811233</td>\n",
       "      <td>...</td>\n",
       "      <td>7.060000</td>\n",
       "      <td>7.660000</td>\n",
       "      <td>6.950000</td>\n",
       "      <td>6.150000</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>7.510000</td>\n",
       "      <td>7.660000</td>\n",
       "      <td>6.920000</td>\n",
       "      <td>7.170000</td>\n",
       "      <td>7.760000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>07</td>\n",
       "      <td>376.461538</td>\n",
       "      <td>380.461538</td>\n",
       "      <td>371.923077</td>\n",
       "      <td>1128.846154</td>\n",
       "      <td>73.703402</td>\n",
       "      <td>112.476331</td>\n",
       "      <td>105.276923</td>\n",
       "      <td>105.605459</td>\n",
       "      <td>67.146628</td>\n",
       "      <td>...</td>\n",
       "      <td>6.784615</td>\n",
       "      <td>7.284615</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>6.184615</td>\n",
       "      <td>6.646154</td>\n",
       "      <td>7.453846</td>\n",
       "      <td>7.392308</td>\n",
       "      <td>6.746154</td>\n",
       "      <td>7.007692</td>\n",
       "      <td>7.553846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>08</td>\n",
       "      <td>386.214383</td>\n",
       "      <td>395.542741</td>\n",
       "      <td>377.908005</td>\n",
       "      <td>826.000000</td>\n",
       "      <td>118.379371</td>\n",
       "      <td>168.020979</td>\n",
       "      <td>144.731818</td>\n",
       "      <td>215.510264</td>\n",
       "      <td>59.514477</td>\n",
       "      <td>...</td>\n",
       "      <td>6.781818</td>\n",
       "      <td>7.390909</td>\n",
       "      <td>6.364697</td>\n",
       "      <td>5.954066</td>\n",
       "      <td>6.401843</td>\n",
       "      <td>7.143763</td>\n",
       "      <td>7.218182</td>\n",
       "      <td>6.645455</td>\n",
       "      <td>6.863636</td>\n",
       "      <td>7.409091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09</td>\n",
       "      <td>373.755970</td>\n",
       "      <td>383.582836</td>\n",
       "      <td>374.633134</td>\n",
       "      <td>1070.800000</td>\n",
       "      <td>71.411538</td>\n",
       "      <td>104.265385</td>\n",
       "      <td>98.470000</td>\n",
       "      <td>113.330645</td>\n",
       "      <td>67.607962</td>\n",
       "      <td>...</td>\n",
       "      <td>6.905000</td>\n",
       "      <td>7.355000</td>\n",
       "      <td>6.655000</td>\n",
       "      <td>6.145000</td>\n",
       "      <td>6.705000</td>\n",
       "      <td>7.490000</td>\n",
       "      <td>7.365000</td>\n",
       "      <td>6.795000</td>\n",
       "      <td>7.110000</td>\n",
       "      <td>7.665000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>403.363636</td>\n",
       "      <td>418.000000</td>\n",
       "      <td>400.863636</td>\n",
       "      <td>1222.227273</td>\n",
       "      <td>132.231206</td>\n",
       "      <td>226.914336</td>\n",
       "      <td>191.618182</td>\n",
       "      <td>161.318182</td>\n",
       "      <td>68.656958</td>\n",
       "      <td>...</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>7.309091</td>\n",
       "      <td>6.577273</td>\n",
       "      <td>6.040909</td>\n",
       "      <td>6.654545</td>\n",
       "      <td>7.409091</td>\n",
       "      <td>7.268182</td>\n",
       "      <td>6.645455</td>\n",
       "      <td>6.986364</td>\n",
       "      <td>7.536364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>389.866667</td>\n",
       "      <td>394.533333</td>\n",
       "      <td>380.600000</td>\n",
       "      <td>1165.000000</td>\n",
       "      <td>83.813462</td>\n",
       "      <td>122.484615</td>\n",
       "      <td>108.833333</td>\n",
       "      <td>122.866667</td>\n",
       "      <td>70.713333</td>\n",
       "      <td>...</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.540000</td>\n",
       "      <td>6.186667</td>\n",
       "      <td>5.746667</td>\n",
       "      <td>6.260000</td>\n",
       "      <td>7.213333</td>\n",
       "      <td>7.086667</td>\n",
       "      <td>6.740000</td>\n",
       "      <td>6.940000</td>\n",
       "      <td>7.526667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>364.769900</td>\n",
       "      <td>379.109453</td>\n",
       "      <td>357.943781</td>\n",
       "      <td>897.916667</td>\n",
       "      <td>93.102564</td>\n",
       "      <td>139.442308</td>\n",
       "      <td>153.450000</td>\n",
       "      <td>110.467742</td>\n",
       "      <td>65.459361</td>\n",
       "      <td>...</td>\n",
       "      <td>7.250000</td>\n",
       "      <td>7.816667</td>\n",
       "      <td>7.116667</td>\n",
       "      <td>6.566667</td>\n",
       "      <td>7.116667</td>\n",
       "      <td>7.783333</td>\n",
       "      <td>7.666667</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>7.391667</td>\n",
       "      <td>7.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>409.393800</td>\n",
       "      <td>424.127440</td>\n",
       "      <td>403.666361</td>\n",
       "      <td>1143.076923</td>\n",
       "      <td>232.931953</td>\n",
       "      <td>382.704142</td>\n",
       "      <td>320.773077</td>\n",
       "      <td>224.595533</td>\n",
       "      <td>74.685090</td>\n",
       "      <td>...</td>\n",
       "      <td>7.069231</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>6.407692</td>\n",
       "      <td>6.069231</td>\n",
       "      <td>6.576923</td>\n",
       "      <td>7.376923</td>\n",
       "      <td>7.269231</td>\n",
       "      <td>6.869231</td>\n",
       "      <td>7.123077</td>\n",
       "      <td>7.607692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>395.937100</td>\n",
       "      <td>398.189765</td>\n",
       "      <td>385.333049</td>\n",
       "      <td>1092.071429</td>\n",
       "      <td>77.798077</td>\n",
       "      <td>114.873626</td>\n",
       "      <td>123.282143</td>\n",
       "      <td>112.347926</td>\n",
       "      <td>69.436155</td>\n",
       "      <td>...</td>\n",
       "      <td>7.257143</td>\n",
       "      <td>7.735714</td>\n",
       "      <td>6.685714</td>\n",
       "      <td>6.207143</td>\n",
       "      <td>6.742857</td>\n",
       "      <td>7.507143</td>\n",
       "      <td>7.435714</td>\n",
       "      <td>6.914286</td>\n",
       "      <td>7.250000</td>\n",
       "      <td>7.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>395.679934</td>\n",
       "      <td>404.628524</td>\n",
       "      <td>390.295854</td>\n",
       "      <td>1054.666667</td>\n",
       "      <td>94.574786</td>\n",
       "      <td>141.581197</td>\n",
       "      <td>153.450000</td>\n",
       "      <td>104.207885</td>\n",
       "      <td>64.505898</td>\n",
       "      <td>...</td>\n",
       "      <td>6.288889</td>\n",
       "      <td>7.011111</td>\n",
       "      <td>6.177778</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>6.333333</td>\n",
       "      <td>7.222222</td>\n",
       "      <td>6.933333</td>\n",
       "      <td>6.444444</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>7.366667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>371.529851</td>\n",
       "      <td>379.164179</td>\n",
       "      <td>369.415672</td>\n",
       "      <td>814.250000</td>\n",
       "      <td>82.264423</td>\n",
       "      <td>126.519231</td>\n",
       "      <td>153.450000</td>\n",
       "      <td>247.185484</td>\n",
       "      <td>64.326541</td>\n",
       "      <td>...</td>\n",
       "      <td>6.025000</td>\n",
       "      <td>6.275000</td>\n",
       "      <td>5.875000</td>\n",
       "      <td>5.775000</td>\n",
       "      <td>6.225000</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>6.325000</td>\n",
       "      <td>5.975000</td>\n",
       "      <td>6.375000</td>\n",
       "      <td>6.825000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>386.571429</td>\n",
       "      <td>394.071429</td>\n",
       "      <td>380.785714</td>\n",
       "      <td>1161.428571</td>\n",
       "      <td>105.583791</td>\n",
       "      <td>163.087912</td>\n",
       "      <td>111.360714</td>\n",
       "      <td>121.357143</td>\n",
       "      <td>68.564286</td>\n",
       "      <td>...</td>\n",
       "      <td>7.192857</td>\n",
       "      <td>7.642857</td>\n",
       "      <td>6.007143</td>\n",
       "      <td>5.885714</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>7.228571</td>\n",
       "      <td>6.935714</td>\n",
       "      <td>6.707143</td>\n",
       "      <td>7.035714</td>\n",
       "      <td>7.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>373.454545</td>\n",
       "      <td>373.090909</td>\n",
       "      <td>371.454545</td>\n",
       "      <td>1118.000000</td>\n",
       "      <td>129.028846</td>\n",
       "      <td>197.038462</td>\n",
       "      <td>153.450000</td>\n",
       "      <td>72.771261</td>\n",
       "      <td>70.453082</td>\n",
       "      <td>...</td>\n",
       "      <td>6.936364</td>\n",
       "      <td>7.390909</td>\n",
       "      <td>6.190909</td>\n",
       "      <td>6.018182</td>\n",
       "      <td>6.409091</td>\n",
       "      <td>7.209091</td>\n",
       "      <td>7.109091</td>\n",
       "      <td>6.718182</td>\n",
       "      <td>6.963636</td>\n",
       "      <td>7.527273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>367.083333</td>\n",
       "      <td>377.583333</td>\n",
       "      <td>359.166667</td>\n",
       "      <td>1103.833333</td>\n",
       "      <td>88.097756</td>\n",
       "      <td>124.769231</td>\n",
       "      <td>120.670833</td>\n",
       "      <td>114.322581</td>\n",
       "      <td>61.209361</td>\n",
       "      <td>...</td>\n",
       "      <td>6.766667</td>\n",
       "      <td>7.308333</td>\n",
       "      <td>6.150000</td>\n",
       "      <td>5.933333</td>\n",
       "      <td>6.458333</td>\n",
       "      <td>7.141667</td>\n",
       "      <td>6.758333</td>\n",
       "      <td>6.641667</td>\n",
       "      <td>6.866667</td>\n",
       "      <td>7.350000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>406.223881</td>\n",
       "      <td>465.731343</td>\n",
       "      <td>401.732537</td>\n",
       "      <td>1029.000000</td>\n",
       "      <td>227.805769</td>\n",
       "      <td>359.407692</td>\n",
       "      <td>177.690000</td>\n",
       "      <td>591.374194</td>\n",
       "      <td>65.830616</td>\n",
       "      <td>...</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>8.280000</td>\n",
       "      <td>7.120000</td>\n",
       "      <td>6.340000</td>\n",
       "      <td>7.040000</td>\n",
       "      <td>7.640000</td>\n",
       "      <td>7.620000</td>\n",
       "      <td>7.080000</td>\n",
       "      <td>7.380000</td>\n",
       "      <td>7.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>395.283582</td>\n",
       "      <td>421.786974</td>\n",
       "      <td>389.242062</td>\n",
       "      <td>1095.090909</td>\n",
       "      <td>135.467657</td>\n",
       "      <td>203.835664</td>\n",
       "      <td>142.377273</td>\n",
       "      <td>275.351906</td>\n",
       "      <td>62.987204</td>\n",
       "      <td>...</td>\n",
       "      <td>6.963636</td>\n",
       "      <td>7.472727</td>\n",
       "      <td>6.390909</td>\n",
       "      <td>6.081818</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>7.163636</td>\n",
       "      <td>7.090909</td>\n",
       "      <td>6.609091</td>\n",
       "      <td>6.909091</td>\n",
       "      <td>7.390909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>473.500000</td>\n",
       "      <td>502.750000</td>\n",
       "      <td>474.250000</td>\n",
       "      <td>1450.500000</td>\n",
       "      <td>391.007212</td>\n",
       "      <td>614.509615</td>\n",
       "      <td>370.362500</td>\n",
       "      <td>580.250000</td>\n",
       "      <td>86.325000</td>\n",
       "      <td>...</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>7.025000</td>\n",
       "      <td>6.050000</td>\n",
       "      <td>6.775000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>7.850000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>7.850000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>380.666667</td>\n",
       "      <td>398.666667</td>\n",
       "      <td>378.000000</td>\n",
       "      <td>1157.333333</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>153.450000</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>68.766667</td>\n",
       "      <td>...</td>\n",
       "      <td>6.666667</td>\n",
       "      <td>7.366667</td>\n",
       "      <td>6.233333</td>\n",
       "      <td>6.066667</td>\n",
       "      <td>6.766667</td>\n",
       "      <td>7.566667</td>\n",
       "      <td>7.066667</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.566667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>405.846154</td>\n",
       "      <td>434.000000</td>\n",
       "      <td>402.153846</td>\n",
       "      <td>1242.000000</td>\n",
       "      <td>126.474852</td>\n",
       "      <td>179.094675</td>\n",
       "      <td>115.165385</td>\n",
       "      <td>234.682382</td>\n",
       "      <td>69.546628</td>\n",
       "      <td>...</td>\n",
       "      <td>7.230769</td>\n",
       "      <td>7.723077</td>\n",
       "      <td>7.107692</td>\n",
       "      <td>6.169231</td>\n",
       "      <td>6.784615</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>7.753846</td>\n",
       "      <td>6.807692</td>\n",
       "      <td>7.192308</td>\n",
       "      <td>7.707692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>437.250000</td>\n",
       "      <td>483.500000</td>\n",
       "      <td>436.250000</td>\n",
       "      <td>1357.000000</td>\n",
       "      <td>205.260817</td>\n",
       "      <td>279.889423</td>\n",
       "      <td>174.793750</td>\n",
       "      <td>268.733871</td>\n",
       "      <td>71.356635</td>\n",
       "      <td>...</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>7.712500</td>\n",
       "      <td>6.912500</td>\n",
       "      <td>6.150000</td>\n",
       "      <td>6.712500</td>\n",
       "      <td>7.400000</td>\n",
       "      <td>7.525000</td>\n",
       "      <td>6.837500</td>\n",
       "      <td>7.112500</td>\n",
       "      <td>7.612500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>445.200000</td>\n",
       "      <td>487.600000</td>\n",
       "      <td>444.800000</td>\n",
       "      <td>1377.600000</td>\n",
       "      <td>410.605769</td>\n",
       "      <td>632.407692</td>\n",
       "      <td>392.090000</td>\n",
       "      <td>825.600000</td>\n",
       "      <td>76.180000</td>\n",
       "      <td>...</td>\n",
       "      <td>6.840000</td>\n",
       "      <td>7.260000</td>\n",
       "      <td>6.760000</td>\n",
       "      <td>6.060000</td>\n",
       "      <td>6.660000</td>\n",
       "      <td>7.380000</td>\n",
       "      <td>7.140000</td>\n",
       "      <td>6.540000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>7.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>407.800000</td>\n",
       "      <td>422.200000</td>\n",
       "      <td>394.300000</td>\n",
       "      <td>1224.300000</td>\n",
       "      <td>100.611538</td>\n",
       "      <td>145.315385</td>\n",
       "      <td>95.125000</td>\n",
       "      <td>288.961290</td>\n",
       "      <td>69.831233</td>\n",
       "      <td>...</td>\n",
       "      <td>7.060000</td>\n",
       "      <td>7.630000</td>\n",
       "      <td>6.390000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>7.310000</td>\n",
       "      <td>7.010000</td>\n",
       "      <td>6.710000</td>\n",
       "      <td>6.950000</td>\n",
       "      <td>7.510000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>445.941655</td>\n",
       "      <td>465.997286</td>\n",
       "      <td>435.908005</td>\n",
       "      <td>1014.181818</td>\n",
       "      <td>182.010490</td>\n",
       "      <td>273.559441</td>\n",
       "      <td>175.336364</td>\n",
       "      <td>351.214076</td>\n",
       "      <td>77.315037</td>\n",
       "      <td>...</td>\n",
       "      <td>7.363636</td>\n",
       "      <td>7.972727</td>\n",
       "      <td>6.627273</td>\n",
       "      <td>6.081818</td>\n",
       "      <td>6.618182</td>\n",
       "      <td>7.454545</td>\n",
       "      <td>7.463636</td>\n",
       "      <td>6.936364</td>\n",
       "      <td>7.145455</td>\n",
       "      <td>7.745455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>395.764925</td>\n",
       "      <td>399.457090</td>\n",
       "      <td>386.707836</td>\n",
       "      <td>1029.000000</td>\n",
       "      <td>63.385817</td>\n",
       "      <td>96.514423</td>\n",
       "      <td>135.268750</td>\n",
       "      <td>98.108871</td>\n",
       "      <td>73.044135</td>\n",
       "      <td>...</td>\n",
       "      <td>7.162500</td>\n",
       "      <td>7.575000</td>\n",
       "      <td>6.075000</td>\n",
       "      <td>5.962500</td>\n",
       "      <td>6.487500</td>\n",
       "      <td>7.250000</td>\n",
       "      <td>6.962500</td>\n",
       "      <td>6.737500</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.475000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>430.679934</td>\n",
       "      <td>465.961857</td>\n",
       "      <td>429.740299</td>\n",
       "      <td>1190.444444</td>\n",
       "      <td>157.231838</td>\n",
       "      <td>252.123932</td>\n",
       "      <td>115.150000</td>\n",
       "      <td>310.526882</td>\n",
       "      <td>73.611796</td>\n",
       "      <td>...</td>\n",
       "      <td>6.911111</td>\n",
       "      <td>7.533333</td>\n",
       "      <td>7.033333</td>\n",
       "      <td>6.166667</td>\n",
       "      <td>6.844444</td>\n",
       "      <td>7.511111</td>\n",
       "      <td>7.577778</td>\n",
       "      <td>6.744444</td>\n",
       "      <td>7.077778</td>\n",
       "      <td>7.588889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>457.500000</td>\n",
       "      <td>472.500000</td>\n",
       "      <td>452.500000</td>\n",
       "      <td>1382.500000</td>\n",
       "      <td>228.908654</td>\n",
       "      <td>355.111538</td>\n",
       "      <td>194.435000</td>\n",
       "      <td>450.787097</td>\n",
       "      <td>77.345308</td>\n",
       "      <td>...</td>\n",
       "      <td>7.390000</td>\n",
       "      <td>7.860000</td>\n",
       "      <td>6.530000</td>\n",
       "      <td>6.070000</td>\n",
       "      <td>6.780000</td>\n",
       "      <td>7.330000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>6.870000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>7.610000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>371.500000</td>\n",
       "      <td>385.833333</td>\n",
       "      <td>362.166667</td>\n",
       "      <td>1119.500000</td>\n",
       "      <td>70.342949</td>\n",
       "      <td>100.179487</td>\n",
       "      <td>83.558333</td>\n",
       "      <td>105.333333</td>\n",
       "      <td>65.466667</td>\n",
       "      <td>...</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>7.483333</td>\n",
       "      <td>6.766667</td>\n",
       "      <td>6.033333</td>\n",
       "      <td>6.783333</td>\n",
       "      <td>7.483333</td>\n",
       "      <td>7.383333</td>\n",
       "      <td>6.750000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>7.733333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>32 rows × 86 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   school_dist  SAT Critical Reading Avg. Score  SAT Math Avg. Score  \\\n",
       "0           01                       441.833333           473.333333   \n",
       "1           02                       426.619092           444.186256   \n",
       "2           03                       428.529851           437.997512   \n",
       "3           04                       402.142857           416.285714   \n",
       "4           05                       427.159915           438.236674   \n",
       "5           06                       382.011940           400.565672   \n",
       "6           07                       376.461538           380.461538   \n",
       "7           08                       386.214383           395.542741   \n",
       "8           09                       373.755970           383.582836   \n",
       "9           10                       403.363636           418.000000   \n",
       "10          11                       389.866667           394.533333   \n",
       "11          12                       364.769900           379.109453   \n",
       "12          13                       409.393800           424.127440   \n",
       "13          14                       395.937100           398.189765   \n",
       "14          15                       395.679934           404.628524   \n",
       "15          16                       371.529851           379.164179   \n",
       "16          17                       386.571429           394.071429   \n",
       "17          18                       373.454545           373.090909   \n",
       "18          19                       367.083333           377.583333   \n",
       "19          20                       406.223881           465.731343   \n",
       "20          21                       395.283582           421.786974   \n",
       "21          22                       473.500000           502.750000   \n",
       "22          23                       380.666667           398.666667   \n",
       "23          24                       405.846154           434.000000   \n",
       "24          25                       437.250000           483.500000   \n",
       "25          26                       445.200000           487.600000   \n",
       "26          27                       407.800000           422.200000   \n",
       "27          28                       445.941655           465.997286   \n",
       "28          29                       395.764925           399.457090   \n",
       "29          30                       430.679934           465.961857   \n",
       "30          31                       457.500000           472.500000   \n",
       "31          32                       371.500000           385.833333   \n",
       "\n",
       "    SAT Writing Avg. Score    sat_score  AP Test Takers   Total Exams Taken  \\\n",
       "0               439.333333  1354.500000       116.681090         173.019231   \n",
       "1               424.832836  1142.708333       128.908454         201.516827   \n",
       "2               426.915672   987.583333       156.183494         244.522436   \n",
       "3               405.714286  1224.142857       129.016484         183.879121   \n",
       "4               419.666098  1110.285714        85.722527         115.725275   \n",
       "5               382.066269  1042.300000       108.711538         159.715385   \n",
       "6               371.923077  1128.846154        73.703402         112.476331   \n",
       "7               377.908005   826.000000       118.379371         168.020979   \n",
       "8               374.633134  1070.800000        71.411538         104.265385   \n",
       "9               400.863636  1222.227273       132.231206         226.914336   \n",
       "10              380.600000  1165.000000        83.813462         122.484615   \n",
       "11              357.943781   897.916667        93.102564         139.442308   \n",
       "12              403.666361  1143.076923       232.931953         382.704142   \n",
       "13              385.333049  1092.071429        77.798077         114.873626   \n",
       "14              390.295854  1054.666667        94.574786         141.581197   \n",
       "15              369.415672   814.250000        82.264423         126.519231   \n",
       "16              380.785714  1161.428571       105.583791         163.087912   \n",
       "17              371.454545  1118.000000       129.028846         197.038462   \n",
       "18              359.166667  1103.833333        88.097756         124.769231   \n",
       "19              401.732537  1029.000000       227.805769         359.407692   \n",
       "20              389.242062  1095.090909       135.467657         203.835664   \n",
       "21              474.250000  1450.500000       391.007212         614.509615   \n",
       "22              378.000000  1157.333333        29.000000          31.000000   \n",
       "23              402.153846  1242.000000       126.474852         179.094675   \n",
       "24              436.250000  1357.000000       205.260817         279.889423   \n",
       "25              444.800000  1377.600000       410.605769         632.407692   \n",
       "26              394.300000  1224.300000       100.611538         145.315385   \n",
       "27              435.908005  1014.181818       182.010490         273.559441   \n",
       "28              386.707836  1029.000000        63.385817          96.514423   \n",
       "29              429.740299  1190.444444       157.231838         252.123932   \n",
       "30              452.500000  1382.500000       228.908654         355.111538   \n",
       "31              362.166667  1119.500000        70.342949         100.179487   \n",
       "\n",
       "    Number of Exams with scores 3 4 or 5  Total Cohort  \\\n",
       "0                             135.800000     93.500000   \n",
       "1                             157.495833    158.647849   \n",
       "2                             193.087500    183.384409   \n",
       "3                             151.035714    113.857143   \n",
       "4                             142.464286    143.677419   \n",
       "5                             105.425000    180.848387   \n",
       "6                             105.276923    105.605459   \n",
       "7                             144.731818    215.510264   \n",
       "8                              98.470000    113.330645   \n",
       "9                             191.618182    161.318182   \n",
       "10                            108.833333    122.866667   \n",
       "11                            153.450000    110.467742   \n",
       "12                            320.773077    224.595533   \n",
       "13                            123.282143    112.347926   \n",
       "14                            153.450000    104.207885   \n",
       "15                            153.450000    247.185484   \n",
       "16                            111.360714    121.357143   \n",
       "17                            153.450000     72.771261   \n",
       "18                            120.670833    114.322581   \n",
       "19                            177.690000    591.374194   \n",
       "20                            142.377273    275.351906   \n",
       "21                            370.362500    580.250000   \n",
       "22                            153.450000     87.000000   \n",
       "23                            115.165385    234.682382   \n",
       "24                            174.793750    268.733871   \n",
       "25                            392.090000    825.600000   \n",
       "26                             95.125000    288.961290   \n",
       "27                            175.336364    351.214076   \n",
       "28                            135.268750     98.108871   \n",
       "29                            115.150000    310.526882   \n",
       "30                            194.435000    450.787097   \n",
       "31                             83.558333    105.333333   \n",
       "\n",
       "    Total Grads - % of cohort  ...  eng_t_11  aca_t_11  saf_s_11  com_s_11  \\\n",
       "0                   71.333333  ...  6.700000  7.500000  6.768611  6.165787   \n",
       "1                   75.453574  ...  7.120833  7.564583  6.910660  6.204057   \n",
       "2                   74.029937  ...  6.533333  6.991667  6.716667  6.258333   \n",
       "3                   76.257143  ...  7.428571  7.885714  6.885714  6.114286   \n",
       "4                   75.200881  ...  6.242857  6.957143  6.314286  6.000000   \n",
       "5                   69.811233  ...  7.060000  7.660000  6.950000  6.150000   \n",
       "6                   67.146628  ...  6.784615  7.284615  6.800000  6.184615   \n",
       "7                   59.514477  ...  6.781818  7.390909  6.364697  5.954066   \n",
       "8                   67.607962  ...  6.905000  7.355000  6.655000  6.145000   \n",
       "9                   68.656958  ...  6.700000  7.309091  6.577273  6.040909   \n",
       "10                  70.713333  ...  7.000000  7.540000  6.186667  5.746667   \n",
       "11                  65.459361  ...  7.250000  7.816667  7.116667  6.566667   \n",
       "12                  74.685090  ...  7.069231  7.600000  6.407692  6.069231   \n",
       "13                  69.436155  ...  7.257143  7.735714  6.685714  6.207143   \n",
       "14                  64.505898  ...  6.288889  7.011111  6.177778  5.900000   \n",
       "15                  64.326541  ...  6.025000  6.275000  5.875000  5.775000   \n",
       "16                  68.564286  ...  7.192857  7.642857  6.007143  5.885714   \n",
       "17                  70.453082  ...  6.936364  7.390909  6.190909  6.018182   \n",
       "18                  61.209361  ...  6.766667  7.308333  6.150000  5.933333   \n",
       "19                  65.830616  ...  7.800000  8.280000  7.120000  6.340000   \n",
       "20                  62.987204  ...  6.963636  7.472727  6.390909  6.081818   \n",
       "21                  86.325000  ...  7.600000  8.200000  7.025000  6.050000   \n",
       "22                  68.766667  ...  6.666667  7.366667  6.233333  6.066667   \n",
       "23                  69.546628  ...  7.230769  7.723077  7.107692  6.169231   \n",
       "24                  71.356635  ...  7.200000  7.712500  6.912500  6.150000   \n",
       "25                  76.180000  ...  6.840000  7.260000  6.760000  6.060000   \n",
       "26                  69.831233  ...  7.060000  7.630000  6.390000  6.000000   \n",
       "27                  77.315037  ...  7.363636  7.972727  6.627273  6.081818   \n",
       "28                  73.044135  ...  7.162500  7.575000  6.075000  5.962500   \n",
       "29                  73.611796  ...  6.911111  7.533333  7.033333  6.166667   \n",
       "30                  77.345308  ...  7.390000  7.860000  6.530000  6.070000   \n",
       "31                  65.466667  ...  6.900000  7.483333  6.766667  6.033333   \n",
       "\n",
       "    eng_s_11  aca_s_11  saf_tot_11  com_tot_11  eng_tot_11  aca_tot_11  \n",
       "0   6.736713  7.446898    7.433333    6.816667    7.116667    7.683333  \n",
       "1   6.650422  7.385029    7.520833    6.720833    7.037500    7.541667  \n",
       "2   6.633333  7.375000    7.233333    6.616667    6.891667    7.391667  \n",
       "3   6.685714  7.571429    7.714286    6.942857    7.185714    7.785714  \n",
       "4   6.428571  7.285714    7.085714    6.414286    6.671429    7.314286  \n",
       "5   6.700000  7.510000    7.660000    6.920000    7.170000    7.760000  \n",
       "6   6.646154  7.453846    7.392308    6.746154    7.007692    7.553846  \n",
       "7   6.401843  7.143763    7.218182    6.645455    6.863636    7.409091  \n",
       "8   6.705000  7.490000    7.365000    6.795000    7.110000    7.665000  \n",
       "9   6.654545  7.409091    7.268182    6.645455    6.986364    7.536364  \n",
       "10  6.260000  7.213333    7.086667    6.740000    6.940000    7.526667  \n",
       "11  7.116667  7.783333    7.666667    7.100000    7.391667    7.916667  \n",
       "12  6.576923  7.376923    7.269231    6.869231    7.123077    7.607692  \n",
       "13  6.742857  7.507143    7.435714    6.914286    7.250000    7.750000  \n",
       "14  6.333333  7.222222    6.933333    6.444444    6.700000    7.366667  \n",
       "15  6.225000  7.100000    6.325000    5.975000    6.375000    6.825000  \n",
       "16  6.400000  7.228571    6.935714    6.707143    7.035714    7.571429  \n",
       "17  6.409091  7.209091    7.109091    6.718182    6.963636    7.527273  \n",
       "18  6.458333  7.141667    6.758333    6.641667    6.866667    7.350000  \n",
       "19  7.040000  7.640000    7.620000    7.080000    7.380000    7.800000  \n",
       "20  6.500000  7.163636    7.090909    6.609091    6.909091    7.390909  \n",
       "21  6.775000  7.500000    7.850000    6.900000    7.300000    7.850000  \n",
       "22  6.766667  7.566667    7.066667    6.700000    7.000000    7.566667  \n",
       "23  6.784615  7.500000    7.753846    6.807692    7.192308    7.707692  \n",
       "24  6.712500  7.400000    7.525000    6.837500    7.112500    7.612500  \n",
       "25  6.660000  7.380000    7.140000    6.540000    6.900000    7.300000  \n",
       "26  6.500000  7.310000    7.010000    6.710000    6.950000    7.510000  \n",
       "27  6.618182  7.454545    7.463636    6.936364    7.145455    7.745455  \n",
       "28  6.487500  7.250000    6.962500    6.737500    7.000000    7.475000  \n",
       "29  6.844444  7.511111    7.577778    6.744444    7.077778    7.588889  \n",
       "30  6.780000  7.330000    7.200000    6.870000    7.200000    7.610000  \n",
       "31  6.783333  7.483333    7.383333    6.750000    7.200000    7.733333  \n",
       "\n",
       "[32 rows x 86 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "district"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOwAAADrCAYAAABq1nqsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nO29V5RcR3rn+Yu4Jl15b1HwBAkCoPe2m2ype9Rm5VpmJI3ZPbP7vI/zPM/7to9zzu7ZbUktzbZ2pO1Wd5NseoIESZAAARAgYcp7m/bmvTdiH7KqUIk0lVWVmWVwfzw8APK6KCD/N76IzwmtNQEBAfsDudsDCAgIqJxAsAEB+4hAsAEB+4hAsAEB+4hAsAEB+4hAsAEB+whzKycLIQIfUEBAHdBai2Kfb0mwAP/lZ9d3PpqAgH1IavQDIgPPIURRLVWN//wXD5Q8FpjEAQEVIgwb7Wd3dQyBYAMCKkSYEbSX3tUxBIINCKgQaQWCDQjYNwgzgvIyuzqGQLABARUizTDaDWbYgIB9gRsfR9oNuzqGQLABARXgzF5BSBOr+dCujiMQbEDAJmRmr4CQhDoe3O2hBIINCChHZuYrxB4RKwSCDQgoSWbmMkKae0assI3QxICA+4HMzGWEYRNqLx0muBsEM2xAwD1kZi7tSbFCINiAgDwy05cQRnhPihUCwQYErJOZ/hJhhgm1n9ztoZQkEGxAAGtijexpsUKw6RSwR/FxcOQMUluEdDeC2uWgZqa/RFhRQm0navaMahEINmBPodHMme+xaF5EINFopLbpdb9PTA1V/XmZqS+QdgwZamLpi/9K08N/jjQjVX9OtQgEG1BlfOymK9hNXyJkFi89iLP0JMptrejqOfNDFs2LaOGxVo/IFy7j9j9xyPkLwrqzaiPNTF1EWFG85Awym8RqPbanxQqBYAOqik9D/z9ghKYR0gNAWsvYjV+TmPgj/Ex/2asVLovmZ2jhFRzT+CyY5+lzf1iVkaanPkelFyG9QKT/abTyYOlOVe5dS4JNp4CqYTddyRMrgBAaIV2i3b8Eytfwy4qF0mtVoUkZ41UZZ2rsIzKTFzGbBokd+S7SbsCZvUqo86Gq3L+WBDNsQNXImcGFsyOANNJIew6VLW3SSsJoVOnj2t7xGNMTF/BTs7Sc/SuEcfd+Wrl5f96rBIINqBpCli5QprVASKfs9bZuxtItZJnj3olWaJMW79yOxxjqephI35N5n7nxcczGvh3fuxTKTSPMcFWqLQaCDagaXnoQaS1TrHy1EAq/zOy6Rm/2+4yG/h6lPRC52VZok5DqoMXfuWCLbSplF24SPfTCju9dDO27JG79GjPSfncM4Ras5iGMUNOW7xcINqBqOEtPYjd+DcLN+1wrE2f5LKjQpvcI6y4OO3/DovEZSeMOQls0+2do9k8ja/B11VqBACFqs53jzF0jdugljEjb6vM0KrOEu3Qbx1lZP8+IdWE1DSKtaNn7BYINqBrKbSUx8UdEu3+JNNI5M1gonJWzZOZfrvg+lm6iy3sVii+Ht4RWHkKW/ppnF76pacCEn1kk3H12/c9CCIxIK0bkrptLa4WfmsOZvbppVcZAsAFVxc/0Ex/+H5H2HEI6OTO4gpm1ViRu/ppQx4PYrUeLHvcSUzUL9FduGmmGNz1PCIkZ68KMdW16biDYgBogyu4G1xMj3IKXmMAI589qAMpzaroz7Mx+Rajz4areM/DDBhx4IgPPkZ68UNBmw5m7QqjzdM2eq9wU0o5V9Z7BDBtQkrCd5tzRyxzrvUPGDfHFzbPcmjxMgc9ljyOEJHroJZLD7xA78tq6e0U58W3t1FaCn1mqyb0DwQYUpb1xnr9+/e8wDA/bzO3+HO0Z5ubkYX7xwQ/Zb6KVZphw9znSE58Q7X8a31lBhhpr9jxn9iqRvieqft/AJA4oyk+e//8IWZl1sQLYlsux3jucHvp6F0e2fcxYF0a4BWf+Bs7sV4SrvL7cSK0ipwLBBhTQ2rBIW+Missi3w7Zcnjj5ef0HVSVC7Q/gp+dQ2UTNNpy81CxGtKMm9w5M4oACouEUvpJYJY7Hwqm6jqfaRPqfRbu1+xmMUAvO3LWa3DuYYQMKmF9pwzD8oseUEkwudNd5RNVFCFH13du8+xsW0gijsvGq3zsQbEABmWyEq8OncL1CA8xXBh9efbroddJIYlgrbJZGdz8Q7n2U9OTFqt83MIkDivKvF17DNrMc77uFUkbuQ6H5l/O/x/Ri/gxrR6Zo7/sNdmgBjUD5IRanXiK5vPfzS2uFkBbSzM2y0q7ebnQg2ICi+MrkFx/8iObYMv0dE2Rdm9tTQ/gq/ytjhebpOfxzpJEL+BeAlB7t/b8FuK9FG+59lNTYR8QOvVS1ewaCDSjLcrKZ5WRzyeMtnR8WTVqX0qO1512Syw9iSJ+h3ht0tU6QdqLcHDtNIl36nvsFLzmLysZLxikLeXctW2qWzQX+z+MlJ/FT80QGni37zECwATsi3DBcNP8VQBoOLU1jfO+pf8EyXSzTxfclZ45/wudfv8DV29UPLKgnXnIK7WdJ3nmLSN/TRTey1mbZ6OAL+JlFvMQUKrO44QyBEe1YzY9twU/OlH1mINiAnaGNMgcVrzz2G8J2GilzojaMXFL6Yw98wMxiP3NLvXUYZI3QilD7SYQZIT3+CcIMEe55NC+3VkgLM9ZDeuwjjHArVkMfsuOhEtUnJO7SrbKPDHaJA3ZEYvkUWhX/GkVEI7Fwcl2sG5HS56Ej+zcAA0ArH4SBkCbRweewWg6TvP0m7kp+sbhQ+0mig88T6nwII9JaslSMtBtQ2UTZZwaCDdgRy7NP4/uRPNFqDUqZePEzaF3iyyk1jdGcaajxUeEbeM2/wmv6DcoeRe8H15DOCXYNM9JOw9HXUc4SyeF3UF5mS7erpOZTYBIH7AjlR5n49q9p7vyYhpZrCOGTThxiaeY5YpZAiPPFr1OCxXgnWmRw2/8WjDhIFzSoyNeI7CDm4o8Re3hO0VohisRvhjpPY3kO6YmPMUIthLrOVKUAGwSCDagCyo+yOPUqi1Ov5n2+5MBSop32ppkCs1gpg6u3H8NrfhPMpfWCawhAuGh7BD96ETP1+I7Hp7WqTc0mlT/DbkSaIWKHXsJLTJG8/Qbh7nMVVZTYjL37+gqoKxmVIe7H0bq6puhbF35CPNWM61ooJXA9E883+fDyaywmWtDhb+6KdSPSQ8WKr3G11iivfMnUNUKdD5Ee+2gnP0IZ9KYvArOhh9iR1/Di46RG3itIot8qwQx7n7PoLvDm0m+Zyk4gkVjS4pnG5znTUKKkaPhbRPMHYM2DtiB5Gr38POjidZvSTgO/ePs/0Nc5THvzNE42zPDkSRw3AnIFtCidWiuLB+i7yyO4y3eIDW1e2M0It2LGunDmvibUcWrT82uBEIJwz6MoN0Xi1m9pOP790kLf7AVQg/EF7BMSfpyfz/4MR+dmK4XCUx7vrbyNq10ea7zHTxr7EtHy9t1ACZFFxy4hwsPo6X+bE3BRBBOzh5mYPZz/sYpSNhHebyn6sbcysiUT1247QWrsI7zUHGaN0t4qQVpRwl1ncJeHsVuOFD3HCBf/mdfvUYuBBewPLsY/w9Vuweee9vg4/iGe3hDBJFxEyzsFUU1C+mCsQPTqlp8vMJGps6CKzBvKxEg8U/Q6jYYtbuJE+p8hM/X5jk3SnWI2DeKujJY8Hgg2oCS3MjdRJXrZCARz7uzdD+xxSs2GQnqI2NYFC2DEX0Q4R0CboIyceLWBTD6BkSksP5qrlZQLa9zKelsIkavrNPJu1dfpW0EIAbr02I1Y+dTFwCS+jzHKmJUajdz4Pi8RfniX0k2syiEwsJZ+hDYWUKHhnFidYwhVPF81O3+dUPc53MVbqMziekX9SpBmmHDXGTKTnxb016knZkMPfnIas6Gn4Nhmpn4ww97HnIqexqC4W8ISFp3WBjeE008pUWplolM7K8Yt/DaM1KMY6bMlxQqgfAdphjEbe3HjE1t+jhnrRlpRsku3dzLcHWG3HiO7+G3RY5uZ7IFg72POxh6hwWjMn0kBU5h8p+V7+c5+baNXnkbfs97UWoAKQ/JMzcerfXe97YYMtaCcpW3dJ9R5GndlFH9Db5t6IqSBVsVffqlNXFCBYO9jbGnzZ11/ybnYY0RkBFNYDNiD/KT9jzkaOVZ4Qfxp9NKraD+G1hKtJaROrO4Q174dR3bxW+zWXB+cnUYORQdfID32US4eeBcwws34eVk74K6Mb1q8LVjD3ueEZJgXW17mxZZKmlUJSJ5FJ8+AcFbdOMVNauWlQWuEYZdtRrUVvNQsoY4Hq3IvISTRwedJjb5fkT+32tjtp8hMXyTan9sJ11rhzF2l4ejrZa8LBBuwDQTo0k2efGcll04W7UT7DujtbUiByAl+9X/u2VmV4VZSox8UuUwizTDCCCHMUO7XvN/bq4XYGrBbjpCZuUS462zhfWqINENo7+56NTPxaUWFxwPBBlQVrRXp8fPEjr6+4/hdrRXaz67/b7UczjseLtEXRysvd43noP0Mysui3EW076C9DNp32VgoTmUTUGfBAkgrgnJT6xtNRrh1kysCwQZUmfTYh0T6n6lKsL0QEmGGoYKWjXnXSTNnhm/SHHm3CXU8iDN3DT+zSOzwdyq6JhBswDpjzgifJT5m0VsgZjTwSOxxjocfqHiDx5m/gRnrqVmDqYOGtBvIzt8gOvRSxS+4QLABAHyZ/JzzK+/hrbY9T6oEby3/mjFnhFdbvgeAn14oGajgZ5bxU7NEB5+v25h3Ss7kdnOm8rrpfff3dsvhqpYoLUbjqZ8gzUjF5weCDSCtUny08i4++S4OT3vcSF/joehZWlMZ0hMf0/zQTwuu18onPfExsSOv1WR8ysusrkeLC2v78cECYVh3N6IMG2GEkFYDwrBJT1yo2FTdLlsRKwSCDQBuZ27mTDJd6JP08bme+orHFwVW40DR61NjHxDpf7Y2SeJA4sY/Y3ecuissM4wMNW8QmVWTZ5uxHtz4BFZjX9XvvV2CwIkAXO2iSrheNJpUaoJw3xMIwy6oU+TMfY3V2A9akRp5rybjMxv7CHedIdR+ErvlMFZjH2a0HSPUiDRDNXtR2B0Pkq1RU6vtEgg2gD67H1kiE8fCYkC3YoSaMWPd+Mnp9WN+ehE/s4DZOEB6/DxWy1HSk5/Va9g1RwiB1XqM7MI3uz2UdQLBHkC01sypW1z2/pmL3n9j1L+Ip0uv8zqtbrrt3oJEAIHA1nCq9/eAXOqXtyrY3Lr1E8J9T5Eafpvo0CtYTf1IM0J28Wbtfrg6Y7ccxl0e2dWUvI0Egj1gKK340v8FX/n/woy+wYK+w7fqXT7y/isZXTrY/d+0/g8cDR/HwMAWNgYGPaKNn0S+hylzjY+lGVoNOoDU6PtEB58nPfIekYFnkGYuljjU+RBecgYvNVfxmP30QvGIpT1CqOsMzuzl3R4GEGw6HTgm1GUW9SiKu5UhFB5ZfK74v+Jxs3CXF8CSFt9r/QMyKs2Kv0JUW4iJL4n1FNZBcuauYTUfwpm7ht3+wHpC+RqR/mdI3n6D6KEXNt0FdeMTZBe+wWoaxJm/Tqh9Z2l6tcCMdeHMXkErHyHLdTqoPcEMe8AYVZ/nifUumhU9iaOTZa8PywhdVjdy6gqR/sI+sNrL4GeW0J6DDDUV3UEVQhAbeoXU8LvoMnHE2cVbeCujxIZexm49mus7U6QzerHNrnoT7n2czNTur88DwR4wXNIljwmMssfX8JIzSLsRWSS0L9z7GGbTACqbKDsbCsMiMvBsyZ1jZ/YKKpvIeylEB54rWpJUhppRu5S7uoYRakJ7TsXlVWtFINgDRoPoLHlMowhTPmxQa01m+ktC3SXKnCJxF29VlFlihJqwW4+SmcrvRJ6e/AykRbg7P+BeGBZ22wmc2SsF91HO8qbPqzXhvifITF7Y1TEEgj1gHJHPIItsTUhM+sQZTGGXvd5ZTTUrFj+sPIf0+Hmih16seDxW0yBIk+zSbbTWpEbfx4x1EWo/Wfz85kP46YW8plAy1LRr1SE2Is0ISAvfie/eGHbtyQE1oVUO8oD8DhITAxsDC4lBpzjOCaN8orZy0yhnBbOhsHKf1orU8NvEDr+65UCFcNcZvPg4yVu/wW4/lRNxGSIDz5Ea+2jdlSLMCHqX17BrRHZ5LRvsEh9A+owzdMkHWNDD+Li0iH4iYvOO5+nx8yWD91PD7xAZeDaXSL4NIgPPo/3suvunHEIahDpP52b77nNVayRVDYQ0MUIteKnZzU+uAcEMe0AxhU2XPEGvfKgisbrLI5gNPUUFmZ74ZNV9s/20OSFERWJdw2rsQ7lJ/D2wdr2XUPdZnOlLu/LsQLABuXpCCzeK1kty5q4hQy27EgAf6X+G9PjHeybKaA0hJGbTYK78TZ0JBLvHyS7eqvkzMpOfEuktbOvoroyh3FTJDaJaI4Qk3P1IwS7zXiDUfpJIf/FWIrUkEOweRiuf9OSnNX2G76yglV9QT8jPLJFdvFlUyPXEjHWBcgtKgu4Fivmpa/7Muj8xoGL81GzNmzdlJi4Q6Xsq7zPlOaQnPiF66EU0Gi3TaLF7TaTCfU/iroyhVWHjrvuNYJd4D+PGxzE3aY60E5yFb7Baj+bFx2503+jITXTzO2Cs+h2zvcil1xBefVs2CiFpOfNXJbud308EM+weRrupmpldWrl4K6MFfUrX3Dc6dhvd+kswl3Md0oUCexzV+bdoo/7mqbRjNUtU308EfwP3KenxT4j05Qf3pyc+we44hQw1olt+B/f0gkUAwkU1nq/fQAPyCEzivUyNAga81BzCjCDtu13i1t03Db1oYynXiqPomDSEa79zvRfRWrOoppj27iCFpNc4RpNR3+VBINg9isrGkVasaLrZTtBak5m6mFfhMOe+SRPpfWz1E1mqd/Pd4/cZvvY4n/kn5v1xfHwEcJ3z9JkneTz0+3WLxgoEu0dx4xOYjf1VryfkzH5FqOvh9S+Yn1kku3gzvyGU3wheA1hF2jlqCem9l2S+ETsySXPnh4SikyhlkVh8mPj8k2i1vbBKgKvZ95nzx9dzjTXg4zHh3aBV9nDMfrRKoy/P/feq3Cf4qblNWw9uFeVl8NOLWA29q392SE9cKMi+EQjk0uugzI0taGC1F6yMFya27xXCDbfoOvxzwg13kIaDaSVo6rhA95GfIcT23EJKK267l4oWBvDx+MatX8pdINg9i676rmh6/OO8hPH02AfEhl4p+hyRPYSc+1NwBkEboCxInUbO/FVeh3TTTNDSdpmW9ktY9m7H/Wra+3+NlF7e8l9KH9NeJta6vbpMLg66RPd5gIxOlDxWbQKTeJ+TMr9hyf4ITy4idZhG9xGask8g7qmAuNYseC0AXysfYYTLZt8Itxdj/k9LHNV09r5He9fnaC1yS16hWV54kMnR77HJIrgm2OHpkrOolB4NrV+RWHis6PFyWNgIJFC8+XNIxIp+XguCGXYPopVbUZDAsnWBufAvcY1ZtPDwZYJl+zzTkX8smBGyi9/mtWd0V0awmsvnpZajue0K7Z0XkdLHMDyk4SGlT3Pr17R3f7zt++4EIT3KvSiEKFbranOkMBiyHkYWaV5tYHLC2rz6RrUIBLsH8RLTmA09Zc/xybAc+gB9z5dQC4+sMU3ayHe93NsF3Vvd1NounT3nkUahAKTh0dH1KfmL3/qQTXfn3E5F0MogHT+27Xs/bL9Em+zDwFr9RGBg0mMc45hVnw0nCEziPYmXmCDUtVpTScii5TUz5h0oYaZp4ZKwrhL1j5d+iFY7WiNbdumSLUJ6SMNB+Vvr67pTtLZYmX2Kpo6P814mWoPWJvH5rZvDaxjC5IXInzCvxpnybiGR9JknaDFqFzpajECwe5CNlRmENNHKKxCsLrGeukvp41r5sMMNLd8LY1qlKjAKlG+VOFZbVuaeRmmTls7zIBQCRTbTxfz47+F7O2sdKYSgwxigwyjeFKweBILd4whpgfKA/GoNYf9QyZ1LoS2i3on1PyvPQRh3BeSujG1aV2kzFuYeoaPrQoFZrJTB8sKDUGS9Vx8EifknSMw/hmmtoJSN8vd2J/atEKxh9xgF1RWkWTStzNSNxNyHEPqed66WGDpK1Lsb3KCyK8gN1fm9+NiO1q8A89NPkU5142+YSX3fIuu0Mj1evthbfZB4bsuBEisEM+yeQznLeeIShlUyD7TdeQ1TN7BifwYoNJqId5R25zUkd4WknHh+J3GtdtxyQmuT4W9/SkPTHZpavkYIxcrSCeLLx9i92fXgEwh2j+HGx3P9VlcR0lw1iQsRSFqyz9GcfRpfpJA6nCfUNZSzjB3rAnL5rjtdv24cQWLlCImVI5ufGlAVApN4j6Eyi8gN5VqEtNAlBLt+DgambiwqVgDlphCrebXeys7N4YDdIxDsHiQv80Oa6y0eK0FrTVovkNDT+PrudWsunGpsOAXsHoFJXAIvOUt24TpecoamU3+4a+MQ0kRtMsOuEdcTfMOvyJJAINFo+vQTtG8MYtC73zIxYPsEgt2An1nCmbuK9j3MaAfh7kfJzNSvYLT2swiZH9t7161TnrRe4Ar/UJBRMsEFvMYejlLt9WvAbnDfC1ZlE7nWh56DEW4m0vvEekB8avw84e5H6jYWNz6J2dib/2EJt869jPExqkiwhMJjpnGCIe2i4tOYDb1Frg7YL9y3gvVSszgzXyFDTYS6zxZ0Ctdaob0M0irfQbyqY0pOEunJrwMsDHPTTSeAZUYoHb8rSLOAXBkpKGkKuXVvnGnSeoGQaKKZ/j3VzybgLvevYBOThHsfL9kvJjt/A7tMw+KaoLy8iCSobJcYKLlDDKDRGFirMcn5/+QZvcJl9QsyLOfyXDSYhDkj/5CYqG+9olqS9BOkVYpGo5mQrLzHz17jvhUsqnzwu5ecItZxqo4DKoEwKlrD9nCWET4oWhXBViFCspnMPbOm1pov1c/JsMLG2dnH5Qv19zwj/yeMTfrJ7nWSfpy3ln/FtDuBFAZK+xwPn+KFpu9iit2Jd94J9+0OhKb0BoyXmseItNV3PFpRLJezUtO0m3OEab2nmbNAaoMjmafwE4Xr10WGcUlRzJRW+Ezra1v4CfYennb5xcLPmHRzhdNcncXH59vM1/x26V92e3jb4r4VLKq0YJ3ZK4Q6Thc9Viv89MKOXhKGsDjDn3OI54nQhk0jHeoBTowdpdk6jrs8jNV8KO+ahJ7BLzIjAyhc4npq2+PZC9zMXMdRheVdfHzGsyMsevO7NLLtc/+axBQ3iXOuFaPuvkovPo7VsrMQP0NY9OrH6VjuwF2+gzBChHvO5uoPKy/nItqATRSJiaJwF1ogsUXDjsaz2ww7t/CK/GxrTGbHaDXb6ziinXPfClZrXbRQd2b6S8LdZ+s+HpVN7KhhsnJTZGYuoT0Hq/kQ0UMvr5vTpX7WDnGCb/SbRe8nkPSIh7c9nr2ALUpvLknEvlzD3reCRfsFdZO01qhsIj+zpQ54qTm2U1JFa427eBM3Po40I4S7zxW4pyC3gWYUaaplihCnxA/4Wv8SjVo1HQUSgyPixYo6t+9lHoic5qZzHU8XzrIKxVDo6C6Mamfcx4LV3LvJ4y7dwm7dft2f7eAlZ3HmrhI99FLF16hsnMz0ZbRysVuP5hcBX0X7WZy5a/iZZYRpE+l9sui9OuUJGvTfMK4ukmSWMC30y0dpEJ1lx2DY85iRUdAW2cRRtKqfv7pSeqx+huxjDDs380xjE5NnGl8mJOtbwqYa3L+CpXAH1l0ZJTb0St2e7yVncOauET300qa7wVorsvM38JLTSCtGuPfx9TIy6+f4Ls78Nfz0EsKwCHU8SLi7ZdNxREQLx41XKxu08Gjs/e9Y0dG1D4h1/Zbk7Es4y9uvmVQLhBB8t/kHfJO5xqXUp6RUkjajg0cbnqbfPrT5DfYg97VgN+JnlpE7WENuFS85jTN/vSKx+pklUiPvYbefLPANa+XhzF/HT80jDJNQ+ynCXWdZUdPcUZ+SdZO0in76jIexxM5nlFjXm1jREYTMD4OMdb6HcttxU0M7fkY1EUJwMvIQJyMP7fZQqsJ9K1jlJvP+7MxcIjLwbF2e7SWmyC58Q3TwxYr8rI0n/k3BZ8pzSI99iDBs7PZTeTWHb3jvMqoursYWa+b1HW6p8zxh/pRGWd7ULYeQDqHGawVizR3ziLR9vOcEe9C47/ywKpskcfsNQh1337hroX/3hu1tB99ZJnH7jVxlwiK4iUmyi98SPVSZWIuhtSY18i6RgWeJDj6PGb3rmlhQo6ti9VjbyFJ4eDh84f1TYc2oCp8X9+Jk5Qxal3Z3Gfb+82vuN+6rGdaZvYKfXsj1k9kgTmfmMqGuM1V5Rnbua8Ld50jefoNI/1MYG6pHuPEJ3KXbRAdf2NEz0uPnCfc8ijQLTdxR/2LR8EQAlzQreopmUXnGzvXkdd5Zfpu0nyZma/7Xw6rkW1559WtZcb9yXwhWuSnSYx9ht58k1FkYweQ7y4TDm2/OVPQs38GMdhI7+jrpsfMYkTZCHadw4+O4y8NEB5/f0f2d+esY0Q7MEp3tcnHBxREIHCpv3HQ9eZ1fL/4rns69AFaycGcRjrSCcY9qlbLILD1e5C4Hk5nsLBeWP2feXaDD6uDJ5sfotGsfhHHgBevMXcNLzRIdeqkg0gfAXR6pWsmUXP3fXLC8EJLo4HNkF2+SuPlrZKiJ6MBzO7q/l5xGZZbyOtDdS5PoYUXPUDw+WFWcgaO15t3ld9bFusY/XoX/+UmImQLL1DnvmLZwE8dwVg7Gxs5mfLbyBW8uvIOvfTSacWeSr5JX+X7765xprO3fwYEVrHLTpMc+xGo9TqyMjzO7dIvooerU0c0u3CDUlp+SZ7cew2oe2vH6WLlpMjOXiR3+btnzDhmPMaGuFJjFAkmz6CUmWktcmU/CT5D2Cyv7x7Pwv30Ej3RLfjBwHK1snJWH8DL97EbHunqz4sV5cyH/RabReNrjV/O/4Vj0MFGjdrWQD+SmkzN/nfTEJ0QPvYTdUnrXUmUTSCtWtWRtP7OIESkUxE7FqrUiNfIusaGXNx1rTLRx1vwDDCwMLCQmEpNG0cU584cVP9MQBvdxOCMAAB6GSURBVLpE9JWn4Ktpi8TUH5Cc+R5eZoD7QawAXyWultm4E1xNXq/p8w/UDKu8TG5WbTlSNPrnXjLTXxLpKx4BtFW0VogafWlTo+8TGXimqElfjE55jJet/4U5fRtXp2kSPTTJrTVtihpR2qw2Zt3ZgmMSyQOR7SX3a+Gg5ApCxZB6/1XlT/op/BJ9izztFbVKqsmBEmzy1m9oOPb7ZZsUr6GVv9rUuDoJ2u7yCFZz9X2QmelL2M1DGKHicb1aa6bV19zxL5AhTkQ0c9h4ii5xgm55ckfPfq31df5h9ud55p9EEpZhnmnems9a45JpfBMv/HWuo7vwMbIDhOPfR6r9s7vcF+rBFhbZIvHJtrDotrtq+vwDZRKHu8+RXfi2onOduSuEOqu3QeCtjGI2VbermbsyClqVfRFc99/iqv9bEszikSGup7ni/Ypv/fd2/PzeUC9/0fWXHI8cxxY2YRnmTOwMf9Xz18SMrYks3fzf8ULXQfggsyB8fHuEVOvP0CXcUHuRB2InsIpYOgJBWEY4Hq1tQsGBmmGt5iFSox/gOyubpqr5qXnCXdVLo9PoHfVbvRffWSG7eLNsbHNCzTGhvirYYFJ4jKrPGdDndpxx02F38KOOH+/oHr4xi2+Pwb0d0IVGizRe6Bss58EdPaNemMLkr3r/jJ9P/YK4n0Ag0GiazSZ+2v2HyBqXkT1QggWI9D9D8s6bxI68XnKDxktMbtrhvBi5SooO2s+gPQe1+nvlLGNGquuD8xKTGJvcc1pdL1raFHIvkGl1g8NGddbopdBak9UupjAwRPEoKN8eo2T6oHTxQrf3jWAB2qxW/tPAv2fCmWLZW6bVaqXH7qpLpckDJ1ghDcI9j5KZ+pxIb3FH/lrQfSWsXP8n8F3Mxj4QAmGEEGYYaYQQZghptWE29FY9hzbU/gDO/HUyUxcJ9zxa9Bwfl1JC0KiSEU/V4rPlK7w5/wFxL4kAHmw4zh90fYdGM99cFtoELXPmcOFAEWr/FXoTQtAf7qWf+tZ5PlBr2DXMaC7A3UvOFBxTbjonugpNl8aTPybU9TDadwh1Pkyk93HCnaex245jNQ1ixjoxQk01ebuG2h9AhltIjX9c9HibHMIoUd7UwKJV1K6HznsLF/jnmTdY9uIoFD6Kq4lv+N+H/y/SfiZ/LM4xEMWbT6MtrMz9EXBRDQ6kYAHCPY+Rmf5itRrhXTIzXxLuqbyavxCCUMeDRA+9THb+a1KjH6D9bLWHWxK75QhW0yDJkXcL/H/t4jARWhD39GMVGDSIDlpEbbrUZZXLm/Mf4up7186alMpwYfly3udSR7ETL4K6x6BTFqZzHOkF3Qgq5cAK1l26jTBCbHTor61Bi5VRuZd7s22ENIj0PUW451FSYx+RmbpY8DKoFVZjH6GOh0jdeSvvmUIInrB+Sqc4isTAwEZi0C1O8Kj5xzVbU42kJ0purnja43L864LPQ+nHiSz/GJkdQPgRpNtJOPEa4fj3a+a/PogcuDWs1pr0xMcYdlNB8ER2/jqhCqv5L1/6P7BajyKEgTAjWM1DGNEOpBUlNvQyXmqW1J3fYbUcwW6tfW0gM9qB6HuS5O03iB3+znr0lClCnLV+hKszOCQJ04BZpvjYGg6LzMpPSckJDB2lQz1Ckz5ekXg2exGUuofpHsZcOrzp/QNKc6AEq7w0qZH3CPc8ur6O3YiXnCbUUdluZNPpPyM99hGRwy+jvTTu8jDZ+bszhxHtJDLwHF5iguTtNwl1nyuZQVMtjFAT0cEXSN76LbFjv5e3DrdEGIvKKkokxAi3jV+g8UFoEJAWkzTqYxzyf7CpaA+F+0qG51nC5JGmYE1aKw6MYN34BM7c1Vyua5HoJS81t6mbZCPSihLqOpOLSe5/Ok/oWmv81CzO7BW0lwbDIn7tHzEb+4gdeb2mDbSENEEabDd2V6MYNv4ZfY9PVAmXODeJi9s06fIWgyVNvt/5Mr+cfTtvHWsgaTRjPN68v8uj7mUOhGAz01+ilUfDkddKnuPMXiF66MUt3deMdaGcZZy5a3mCFUJgxrowY3fD0KL9z+CujOIlJmpWeTFXaeK9iupAlSIpxgoq4a+hhMu8/JImf3MT/6mWczSYMX479z4z2XlsYfFI00O83vE8Ibn/3DT7hX0tWK3cXHGythNlc1qV5yCkua1IJLvtBOmJT3HjE1iNfSXPE4Zd8xKpmanPCXWeLlppolJ8nE2OVx68/lDDcR5qOI7WOmhPWSf27S6xn14geed3RPqf2TQB3Zn5knD3uW0/K9L3BNn56/hOfNv32Cnu8jDCsLcVobWRiO7OrV2LILRBTG+9/Gcg1vqxLwXrzF/Hmf+a2JHXkFb5FC2tNcpNIe2d9YmJHnqJ9NiHFXVDrzYqmyC7dJtwFepO2TTRqI/koo/uQWDQoerXcT5g6+wrwWqtSI2+jxAG0YHnKjJx3cWbVTFVhTSIHnqR5J23t1V5cLvkfuYPiA5ubf1djkP+D2jSRxHaQGobqS0s3cRR/0+w2N8NsA46+2YNq7IJUqMfEOl/BiNceQaKuzJK7HCFVe2LPddN48bH8JO5OklCGmgvjdhkZq8W6dEPVpPXq9dNT2Ix5P8QlwQZMYdBmIju3nMBDFr5pEbfR9qNhLserlru8n5mXwg2uzSMu3yH2JHXtvTF9TNLGFuohqjcFO7KGH5qlrWgemGEsZoGsFuPIYREeQ5+ep7swreobBy02vLuc6U4s1cxG/tLJq/vFIsGLL39GdXXLkm9gClsohXWiqoU7WdJ3vkd0cEX0NonPfkp2nexmgawWo7et+vmPS1YrTWZyU8RZriiki/34sxcLlnNX2WTuZkzdbcEijAjOYHEulHpefz0PNp3yC7ehMWbuXMMGyPSjtVyGGk35rrHrYxWrfLiGl5qFj8bJ1rFJPtqobXmpv8hI+ozQKBRhGnijPmDLZeiKYbyMqSG3yY69Mr6jnh04Dm01njxMVIj7yGEwO58qOppjXudPStY5TmkRt4l3H0uz99ZKWubQ0KaOXGujOCn5nLH0GilkGYIvcEQ1F4Gd/Em0m7EiLYT6jpb0HDqXqzWY6RG3qmqYLWfJTP1BbEyfuXd5Fv/fUbU53npeykW+NT7e561/mZHSfMqmyQ1+n4u/PIeE1gIgdU0iNU0mOspNHcNZ+YrpBUj1PVwUXeXp11G3K+Zcu9gCpsj9mk6jP59O0PvScF6iWkyM5eIHnppU8GUwpm7jhufYPnK3wEaGW5FWg0IIRBCYsbaMCIdGOGWHa0PhRAIw0Z5zrbHuhGtNcnhd3YUHFFLPJ0tEOsaCp87/gUeNLf3ovGdFdLj54kd+e6mlSaFNNd3zVU2kcvM8hzMhl7stuMIIUmpFd5I/AxXZ9fbTY641xmwTvB05Pf35N/vZuw5wWZmLqM9J7deLfMXmmu+vIKfmsNPzRe4W4RhE+l/Khc0vyrUWhHuOocz8yWRvqd2fK/M5GeEK5jZd4uEnkUii8ZKaRTzanhb9/XTC2SmLq7+u2/NeSHtBqL9zwC5ENXUyPsg4KPmYTKk8sq1+riMud/Qax5myN4/VS7W2DOC1crLRS21HsXqGlr/zE8v5ESZWeLe6goy1IQRaSfc88iu7iBKO4ZyUzu+T3ZpGGGGMBt2vg6sFQZWyXrFAGaJhPpyeMmZXOjo4e/s+MVqNfZhNfaR9JZYTHyGFoVj9XG57nwWCHa7+JlF0uOfIMwI7soY7spY7oCQGJF2zIYe7I5TVS1yVm2sxoEdbT6pbDy3E76NzbV60iA6MQmvlqfJR2LSL7dW2M6Nj+Mu3iI69EpVrSCHDIYwURQvNpDRyaKf73V2XbDOwjf4yRkig8+Rnb9Rsg7TXmcnm0+54IgP9+wm00aEEDxsfp+L3v+z3n8WcmJtEB30GZVn6mSXhvGSkzVxi8Vkc8mC32hocOVqMb79Ve1iV6eszOyVnB9z8Hm8+ETVXSP1ZOPm01bJVfZ/dtPNL8teoqn1Kg3N3yBk/UMk12iTgzxt/Vt6xAOEaCBGG8flCzxh/hRDVDYHZBe+xU/Pra89q01IRhi0TiIp/Ds1hMnDzb+H76yQHH6H1Ph5VHbnM+66ZVhDdnWGVZml9faLfmoWu+3Ebg5nx2xn88mZvYrVOFC2jrIQHr1DvyTWdAutc+9YgWZq7HXii7vjp20Q7ZyxCjvDV4Izdw2t3JpbU09EXsfRaWa9nJDWagg/En6FLusQtOcK3SkvjTPzFcpNYTUfwm45sqXnKC9N8vZbIARWlYvJ38sum8QbNgR0dQtx7wZb3XzykrOobJzIJsERXf1vEWu6jZQ+bDDzegZ+i+u0kEmVTvvba2RmLiGkVdUi7qUwhcXLsT9iyZ9jzhvHFBZ91lFske+vlWaESN+TaK1Ij36wJcFmF2/hrowgzTCRHTbqroT9rZA9yNrm02ZoP0tm+gvCm8zGUjo0tV1FykK/p5Ae7d3ntz3WepOe/AxpRiou01MtWowOjofOcdh+qECsG3GX7mBVKNY1r4ZWLqGO0xiRtrq44nZNsBubHysvjdhBUvZewmo9lgtlLMNWgiOs0CJaF1/bCgGhSGF3ub1Iavw8RqR9Ty973PgYZuPmpWG9xBTJO78j3PMYofYHyMx8Sai7PmmJu2YS+6kZjGjO3+itjFe9kdRuUUnk01aCI3wviihWMX/D8e2y4M7z4cq7jDh3ABgIHeK5ppfosAoL2G0XrTXp0fexWo9iVSCG3WazYJ3M5AWEtNYDe5z5G4TaTtQtamrXZlgvObMeI+wlpzGjtW3TV0/WNp9KYbUcwZkr1xj4Lp7bhJPuQqvCL4TyLRZnH9vWGOfdOf5h7v/mjnMLtfrfiHOH/zb3t8y6hR0Ttkt67APs9gf2vFi91FzZRAI/s0zy9m+xWo8R7nkUIQRa+XgrozVpM1qKXROs9tJ3qwtqVdV8z91ms80nM9pOuPscqeHfVVSMfHL4B/h+GOXnDCKtc2JNxodY2eYu8Qcr7+AW6XHqapf3l9/e1j2LobXaVvJGvcku3MBuK95PNzNzGWfuCrEjr+WJOjP1GeHeJ+o1RGDXd4kPLptFPhmRNsLdj5K68zuih18tu0PuZlu4fe0/0tR2hVjTbZQfYnnhYVLxIbZT7lRrzahTOuZ3IjuGr/2S3ei2gpAW2s/u+eRz7XsIIz+sUnlp0qMfYrefLCjPo7JJtO9uqZhCNdh1wWo/C3v8H3M7VBL5ZERaCfc+TvLOW7l0sjKiVSrE0txjLM1tzwTeLezWY2QXbxHqOLXbQymJ8tIFqXnZxVu4y8NED71Y9GWTnviEaA3cOG58ouzxXTGJN5qBbny8bPnQ/YpYbU2pvEzZ84xwC5G+J0nefrNuvXqEEPTapdeUXVZPVWZXyHVI2FgkYC+SnbuO3ZFr4aKVl2s8plxih18tXpQ+MYURbS+YkXeK9rM4c1fLnrMrglWZZWQ4V1JkP8ZzVkq46yzOzKVNzzNCzUT6n86JVpXeEa4mLzS9glkkjNAUJi80v1K15+yHnFM/u4IRal5310R6Hi/bgykz+xWhzp1XsLyX1Oj7SKO852BXBOulZu7uCit/02Tl/cpWIp+MUNN69/h6iLbL7uYn7X9Kt9WLWP2vy+rhx+1/TK9dXYtHWNGqxOrWAq0VAkF6/BO8xCSxI6/hxseK9haGXFhlqP1U1V9EzuwVvMQ0VsvhsuftilL81Dx26/HdeHTd2UranRFqJDrwHMk7bxI7/N2a75z32L38Sedf4K4m/1uyuibeGnbbcbKL3+6omHutcJfu4C6PED38Cu7KKKmRd7HbTuDMXMY88t28c7Xy8BJTxA5XN1LLzyyRuPVrmk//5aa50Lvk1sm5cbRy4YDOrmtUEvm0EWk3EB14nuTtN9CqMByxFljSqplYIWfyK2elZvffEcLAbOzDXRkl3HWO2NDLWI192O0nceby+9ymJz+tuhtHa0Xi5r/ScvbfVVS4YFdjib3E1IFdv65R6ebTRqQdyxUtv/3mrnQaOOho5ZOZvkRy+G20lyY69DLR/mfyug5aTYN48fH1jcBcSVuNEWqs+ngaT/4II9JW0bm7KtjNGkzVgrSf5nb6DmOZcVSddmUr3XzaiLSiq6J9C+3vf9HKcAt+emFXx+A7cVKjH5Aa/QCzsZ/Y0CuEylQyCfU8Qmb6CwDSE58S6Xuy6mMSQm7abmYjdbdHtZ9FrJlfdXSoK614Y/5tLsYvYQoDjcYUJj/q/AFHo4dr+mw/PY+0t/5mzon2pbtr2q24EUQWYS2iVRi8+jr3i2G3Hc/ViY7svFDdVtBa4y7nCtFLu5FI35MVf+fMSDvOzFdkl4YxY917YnO07iPwkrMYuxCq9ruF9/gicRkfH1/ndmGz2uUfZ/5f/qb3z+kO1WZMWiuchRtle9eWQ1oRokOvrAZXFPcL5qMwWt/FaPySnAGl0G4r3twP0G5tO8SXQ5oR9DaqcWwX7btkZi6hsnGs5iGih17e1s5upPcJEjd/ReOpP6rBKLdO3U1iL5UL9NfKhzolrGdVls/iX+Dpwk0cX/t8uPRxzZ6dmbhAZIcbFdIMr4tW+8WLiq1htL2J0fglQnoImc39as9i9fwdyN13rdS6kZifXiA5/C7piY+x204QG3oFu+XItt0w0o7R9OAf7xl/ct0Fq90U0o7lMnR22Ou0UubdRWSJH1WjGXXKh4NtFz+zDLCl/j6lkGaI6NCrJO+8VbpulExhNFxB3JPsLgQgPIzGL3Y8jp1gNvTgJaeqfl+tNc78dZLDb+OujBEdfJ7o4Atly+7sV3bNKPfiY4TqUCYEICxDqKKlr+8erwXpyQvEDn+naveTZojY4e+QvPNWXt+Z9eOhKcCAItUChfSR0Vv4y89XbTxbxWo5THriAlaVPAPKS5OZ/hLtZbDbThIbKh2dtJfQWuU2ElUW7bto5eb9Wo5dE6z2nKK9UGpBq9VCq9nCrDtXcMwUJo81Vt+h78xdI9R2sup1qoRhr4r2d0SHXkKad10RWm+yKaV2t5uAkBZUIYrLS0zizF9HmGHCXefy3DE7RWuNn5pDe+lVAWXzBFWN8YNAGBZCWrmNxNVfhbSRVqzslXUVbN76pc5rgh93/YD/c+Lv8LWHvzrbWsKkx+7m0abqzvTaz65GxGy/L2057or2rVz/odUvrM70gy5h+isLP1H9+NctIyRa+VuO4tLKx5m7gp9ewIx1r5bXqd7LUGWTZGYuoX0HM9aNtGIIK4oMNeeLS5i7up6tq2CVs4IMNa86o+v7Q3fZnfyngX/HheXPuZm+Q0jaPNJ4ltMNp6qWmbJGavw8kRrV211DGBaxI98hefstoodeXPXlSby538fs/BcQ3vo7USsT5fSgkrUzGbVW+Kk53OURjGgHdomYWKv5EO7KSMWVCX0njjNzCa19Qh2nq1ptUWtFduEbvMQk0ooR7nm0blbfdhFb2bUTQuj/8rPr236YM39jPeHXzywTai+e4b+fcWavgjTKZntUE608krffJDr4AtLOmVPCnsZo/hgZmkSrEH78EVT8DBQpqr1d/Mwy7sowanVjDSExoh25CKHkNO7y8Grn9LN5/uO1UqKbVfvPNfG+jbQaCHefraq/3k8v4sx+hdYKu/1k1dbU1eI//8UDaK2Lzmh1nWH99Bx26zEy01/UvdRlPXDmrqHRhOskVsi1XYwdeY3k7TeIDj6PtBvQ2W682R9V7RnKTa/2153N1acRAhlqwmoawugqDMqwW45gtxzJtY+c+BitFeHOMxiRVoSQJZtpVct3WvTeysOZvYKfWcrlIA88uycCIbZKfUe8WrtJu6kthWPtB5z5G2jlFZQSqeb9yyWCCytC8s7vaDz5wx09R/tuLr0sPgnaByEQZgSraRC77eSWBGSEmogOvpBbf85cJjP9BWZjf0FVST+9QGb2K4SQhLrOVtUdk9ugupG7d+fpPZkxtBX23ytmD+IsfIP20jX9Mmg3RajjwYqDxCu6p1Z4iSm8lTG07+Q2AqWJ1dhPpP/pqqX3CWkQ7snV7XVXxsgufIOfnMb10niJSYxwG9GB56v2POVlcGYuo9wkZqwnV+Zln3eVWKP+scQ1jnSpN9nFm+hsgnDPozV9TqjrDKnR97fdjlJrjZ9ZwFseQWUTuQ+FxGzoIdR9rm4NpI1oO0a0g+zS7dVIpOosH3Ixw3dwl4cRRihX99ku7yLZj9RNsNp3QVr46QWMMvVf9xPZpdv4mWUivbUvjCakgTDDqAqXE7l+syN5GTK5yvvHt5WIsFNq5TtV2TiZmcto38VqPlzVde9epG6C9VKzmNGOXOHl1qP1emzNyC7dwU/NE+mrX13acPcjZCY/Xe/4t4byHLyVUbzkNKymDEq7AbP5EHbHQ7v2Ba6V71RrRXbua7zU7Ko75vG6WQi7Td0E6yensduOk4lP7PsYT3d5BD81s6W2ktVAmiHQKpcuFp+A1YoUwghhNg3kdj73wFqtVr5TLzVPdrVjQqj9AUKbdP07iNRNsMpNIqyGej2uZrgrY7iJSaL9T+/K88O9T+Alp4j0PlH1Mps7ZaPvdCt5p+XQvosz+xW+s4IRaSMy8NyB6hKxVYJd4i3gxidwV0aJDjy7a2OQVmTLDYdrSa18p258nOzCNwhpEup8mHAVMp4OAvUTrNYoZxm5T//ivcQk7tLtgvXj/UotfKfKTePMXEJ5acyGvqrHCx8E6iLYNVdOrtzn/msr6SWnyS58u2k43f2AGx8nO38DI1Id36nWGnfpFu7KKMKMEO46c+CCaqpJXQSbC/pvQmWWkJ0P1+ORVcNLzuLMfU300Eu7PZRdR2tFdv56VXJ8fWcFZ+YyWnnYrUeJDb2y8wHeB9RMsHczIaYQ0iTc+ziZiQv7ykfmpeZx5q4ceN9epWSmLhLu3n6ASM7Nc229KF21NqbuJ6oq2LsV6oYRQmK3HSfU/gBauWQmLyL3kTvHTy/gzFwiOvRKIFZyOb4qm8CItG752pyVcg0EhNofJNy1v6ysvURVBOslpnAWboDWq9EmL+U6VPsuqfGP0Z5DuOfRmhRhrgV+ZpHM1EWih78TiHWV9ORnWyomp/0smZnLqGwcI9pJdLB6scL3M9sWrJ9eyKWTKQ+zoYfo4AvrO3raz5Ka+hztZYn0Poa094//1c8sk578bLVfayBWINfQS+uKYnPdlVGyizcR0iLUdWbfB8nsNbYs2PT4xyjPwYi0EOl7Kj852c+SnvwMrVwiPY/vu+DrXP7mJ8SOfDdwJ2wgPfEp0YHSFTSUm8qVV/EcrKaBYM1fQ7Ys2FD32bzCX5CLZc1MfQbKJ9zz2L4TKuSCyNPj54kdeS0Q6wb8zBLSihZsDuU2Fb/NlVcxI1UvhhZQnC0LdqNYleeQmfwMtE+49/F96z9T2SSp0Q8DsRYhM/U50UN3U/r8zFKuvIrysduObzvdL2B7bGsNq7wMmcnPAZ2bUffJm1X7bkH8rXJTuTzTI68FmyL34CWmMKKdAGRmLuGnF3Pd4vue3nNxzPcL2xJsevw8kf6nC0zjvYrWmsz0RTKTn9PyyH9cX18pN01q5L3cmjUQawGp0fcxop2kxz7E7nyoqhULA7bHtgQrpLVvxOrGx3FmrxLueQTlJO6K1cuQGnlnVaxBDkQxQl1nsduOB8uEPcSB/ZdQbprk8NuozBKxI6+h/ex6L1rlOaSG3865bmrYeXy/E2qvfueCgJ1x4KYWrTXO9BeobILowHPru5vu4i0ig8/nfMTDv8uJNQiLC9hnHCjBuvEJnNkrhLsfwYx15h3TaFDeaiOpSvqsBgTsPQ6EYJWXJj3+CUakfdU1k++0dxOTmJGODV3f7o/6PwEHj30t2Hzz99mSs2Z2/jrKTREbenXP904JCCjHvhXsXfP3HGasq+y5XmKaxpM/3Df+4oCAUuw7wd41f9uKmr/FaD790zqMLCCg9uwbwWqtc/V+nJWy5m9AwEFmXwjWTUzizHyVM3/3eTOjgICdsKcFq7wM6fGPt2T+BgQcZPakYNfMX99ZJtL/TOCGCQhYZc8J1ktMkpn5inD32X3fyzMgoNrsGcEqzyE9fj4wfwMCyrDrgs2Zv5fxnaXA/A0I2IRdFayXmCYzc4lw11nC3UGuZUDAZuyKYHPm78cYkZbA/A0I2AJ1Fey6+ZtZWq1YEZi/AQFboX4d2NfN3zOB+RsQsE1qLth18zccmL8BATulhs2wdK5zdnqRSP9TQVpbQEAVqIlgveRMzvztPE2460wtHhEQcF9SVcEqzyEz8Qky1ETs8HcD8zcgoMpURbB3zd+F1d3fwPwNCKgF2xOsNEiNfrD+R+1nsTtOBeZvQECNEVrryk8WovKTAwICto3Wuuh6ckuCDQgI2F2Csu4BAfuIQLABAfuIQLABAfuIQLABAfuIQLABAfuIQLABAfuIQLABAfuIQLABAfuIQLABAfuI/x9s0GYiDM3+6QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m = Basemap(projection = \"merc\", llcrnrlat = 40.496044, urcrnrlat = 40.915256, \n",
    "            llcrnrlon = -74.255735 ,urcrnrlon = -73.700272, resolution = \"i\")\n",
    "lat = district[\"lat\"].tolist()\n",
    "lon = district[\"lon\"].tolist()\n",
    "# x, y = m(lat, lon)\n",
    "m.drawmapboundary(fill_color = \"#85a6d9\")\n",
    "m.drawcoastlines(color = \"#6d5f47\", linewidth = .4)\n",
    "m.drawrivers(color = \"#6d5f47\",linewidth = .4)\n",
    "m.scatter(lon,lat, s = 50, latlon = True, zorder = 2, c = district[\"ell_percent\"], cmap = \"summer\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "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>school_dist</th>\n",
       "      <th>ell_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02</td>\n",
       "      <td>13.006250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03</td>\n",
       "      <td>9.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04</td>\n",
       "      <td>4.557143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05</td>\n",
       "      <td>4.157143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06</td>\n",
       "      <td>30.040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>07</td>\n",
       "      <td>16.661538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>08</td>\n",
       "      <td>15.790909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09</td>\n",
       "      <td>19.945000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>18.177273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>12.133333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>27.141667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>8.723077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>9.485714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>8.844444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>3.725000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>11.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>8.754545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>14.941667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>20.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>17.163636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>4.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>1.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>21.069231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>19.737500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>7.480000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>6.820000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>4.963636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>2.912500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>16.133333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>2.860000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>18.533333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   school_dist  ell_percent\n",
       "0           01    10.000000\n",
       "1           02    13.006250\n",
       "2           03     9.025000\n",
       "3           04     4.557143\n",
       "4           05     4.157143\n",
       "5           06    30.040000\n",
       "6           07    16.661538\n",
       "7           08    15.790909\n",
       "8           09    19.945000\n",
       "9           10    18.177273\n",
       "10          11    12.133333\n",
       "11          12    27.141667\n",
       "12          13     8.723077\n",
       "13          14     9.485714\n",
       "14          15     8.844444\n",
       "15          16     3.725000\n",
       "16          17    11.285714\n",
       "17          18     8.754545\n",
       "18          19    14.941667\n",
       "19          20    20.800000\n",
       "20          21    17.163636\n",
       "21          22     4.400000\n",
       "22          23     1.600000\n",
       "23          24    21.069231\n",
       "24          25    19.737500\n",
       "25          26     7.480000\n",
       "26          27     6.820000\n",
       "27          28     4.963636\n",
       "28          29     2.912500\n",
       "29          30    16.133333\n",
       "30          31     2.860000\n",
       "31          32    18.533333"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "district[[\"school_dist\", \"ell_percent\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['DBN',\n",
       " 'rr_s',\n",
       " 'rr_t',\n",
       " 'rr_p',\n",
       " 'N_s',\n",
       " 'N_t',\n",
       " 'N_p',\n",
       " 'saf_p_11',\n",
       " 'com_p_11',\n",
       " 'eng_p_11',\n",
       " 'aca_p_11',\n",
       " 'saf_t_11',\n",
       " 'com_t_11',\n",
       " 'eng_t_11',\n",
       " 'aca_t_11',\n",
       " 'saf_s_11',\n",
       " 'com_s_11',\n",
       " 'eng_s_11',\n",
       " 'aca_s_11',\n",
       " 'saf_tot_11',\n",
       " 'com_tot_11',\n",
       " 'eng_tot_11',\n",
       " 'aca_tot_11']"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "survey_fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "survey_fields.remove(\"DBN\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rr_s          0.073800\n",
       "rr_t         -0.102633\n",
       "rr_p         -0.048947\n",
       "N_s           0.347000\n",
       "N_t           0.294385\n",
       "N_p           0.334171\n",
       "saf_p_11     -0.000165\n",
       "com_p_11     -0.120304\n",
       "eng_p_11     -0.000323\n",
       "aca_p_11     -0.005153\n",
       "saf_t_11      0.157688\n",
       "com_t_11      0.004766\n",
       "eng_t_11     -0.038643\n",
       "aca_t_11      0.014868\n",
       "saf_s_11      0.107336\n",
       "com_s_11     -0.076879\n",
       "eng_s_11      0.017488\n",
       "aca_s_11      0.111054\n",
       "saf_tot_11    0.119855\n",
       "com_tot_11   -0.060478\n",
       "eng_tot_11   -0.024619\n",
       "aca_tot_11    0.037769\n",
       "Name: sat_score, dtype: float64"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.corr()[\"sat_score\"][survey_fields]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "combined.corr()[\"sat_score\"][survey_fields].plot.bar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m = Basemap(projection = \"merc\", llcrnrlat = 40.496044, urcrnrlat = 40.915256, \n",
    "            llcrnrlon = -74.255735 ,urcrnrlon = -73.700272, resolution = \"i\")\n",
    "lat = district[\"lat\"].tolist()\n",
    "lon = district[\"lon\"].tolist()\n",
    "# x, y = m(lat, lon)\n",
    "m.drawmapboundary(fill_color = \"#85a6d9\")\n",
    "m.drawcoastlines(color = \"#6d5f47\", linewidth = .4)\n",
    "m.drawrivers(color = \"#6d5f47\",linewidth = .4)\n",
    "m.scatter(lon,lat, s = 50, latlon = True, zorder = 2, c = district[\"saf_s_11\"], cmap = \"summer\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['fl_percent', 'frl_percent', 'ell_percent', 'sped_percent', 'asian_per',\n",
      "       'black_per', 'hispanic_per', 'white_per', 'male_per', 'female_per'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print(combined.columns[combined.columns.str.contains(\"_per\")])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "white_per       0.302345\n",
       "asian_per       0.256366\n",
       "black_per      -0.085260\n",
       "hispanic_per   -0.233828\n",
       "Name: sat_score, dtype: float64"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "race = ['white_per','asian_per','black_per', 'hispanic_per' ]\n",
    "\n",
    "combined.corr()[\"sat_score\"][race]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc1fa570>"
      ]
     },
     "execution_count": 99,
     "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": [
    "combined.corr()[\"sat_score\"][race].plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc287330>"
      ]
     },
     "execution_count": 100,
     "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": [
    "combined.plot.scatter(\"hispanic_per\",\"sat_score\", )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "44                                MANHATTAN BRIDGES HIGH SCHOOL\n",
       "82             WASHINGTON HEIGHTS EXPEDITIONARY LEARNING SCHOOL\n",
       "89     GREGORIO LUPERON HIGH SCHOOL FOR SCIENCE AND MATHEMATICS\n",
       "125                         ACADEMY FOR LANGUAGE AND TECHNOLOGY\n",
       "141                       INTERNATIONAL SCHOOL FOR LIBERAL ARTS\n",
       "176            PAN AMERICAN INTERNATIONAL HIGH SCHOOL AT MONROE\n",
       "253                                   MULTICULTURAL HIGH SCHOOL\n",
       "286                      PAN AMERICAN INTERNATIONAL HIGH SCHOOL\n",
       "Name: SCHOOL NAME, dtype: object"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.loc[combined[\"hispanic_per\"] > 95, \"SCHOOL NAME\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37                                  STUYVESANT HIGH SCHOOL\n",
       "151                           BRONX HIGH SCHOOL OF SCIENCE\n",
       "187                         BROOKLYN TECHNICAL HIGH SCHOOL\n",
       "327    QUEENS HIGH SCHOOL FOR THE SCIENCES AT YORK COLLEGE\n",
       "356                    STATEN ISLAND TECHNICAL HIGH SCHOOL\n",
       "Name: SCHOOL NAME, dtype: object"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.loc[(combined[\"hispanic_per\"] < 10 )& (combined[\"sat_score\"] > 1800) , \"SCHOOL NAME\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc2459b0>"
      ]
     },
     "execution_count": 103,
     "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": [
    "combined.corr()[\"sat_score\"][['male_per', 'female_per']].plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc2c2450>"
      ]
     },
     "execution_count": 104,
     "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": [
    "combined.plot.scatter('female_per',\"sat_score\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5                                            BARD HIGH SCHOOL EARLY COLLEGE\n",
       "26                                            ELEANOR ROOSEVELT HIGH SCHOOL\n",
       "60                                                       BEACON HIGH SCHOOL\n",
       "61     FIORELLO H. LAGUARDIA HIGH SCHOOL OF MUSIC & ART AND PERFORMING ARTS\n",
       "302                                             TOWNSEND HARRIS HIGH SCHOOL\n",
       "Name: SCHOOL NAME, dtype: object"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined[(combined[\"female_per\"]>60) & (combined[\"sat_score\"]>1700)][\"SCHOOL NAME\"]"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}