lsa scrape.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "from tqdm.notebook import tqdm\n",
    "import time\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "TERM = \"w_22_2370\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "UG_SUBJ = \"https://www.lsa.umich.edu/cg/cg_subjectlist.aspx?termArray={}&cgtype=ug&allsections=true\".format(TERM)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = requests.get(UG_SUBJ)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "soup = BeautifulSoup(r.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "departments = [cell.text.strip() for cell in soup.select_one(\".table.table-striped.table-condensed\").select(\"tr > td:nth-child(1)\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ug AAS\n",
      "getting next page\n",
      "ug AERO\n",
      "ug AEROSP\n",
      "ug AES\n",
      "ug ALA\n",
      "getting next page\n",
      "ug AMAS\n",
      "ug AMCULT\n",
      "getting next page\n",
      "ug ANATOMY\n",
      "ug ANTHRARC\n",
      "ug ANTHRBIO\n",
      "ug ANTHRCUL\n",
      "ug APPPHYS\n",
      "ug ARABIC\n",
      "ug ARCH\n",
      "ug ARMENIAN\n",
      "ug ARTDES\n",
      "ug ARTSADMN\n",
      "ug ASIAN\n",
      "getting next page\n",
      "ug ASIANLAN\n",
      "getting next page\n",
      "getting next page\n",
      "ug ASIANPAM\n",
      "ug ASTRO\n",
      "ug AUTO\n",
      "ug BA\n",
      "ug BCS\n",
      "ug BE\n",
      "ug BIOINF\n",
      "ug BIOLCHEM\n",
      "ug BIOLOGY\n",
      "getting next page\n",
      "ug BIOMEDE\n",
      "ug BIOPHYS\n",
      "getting next page\n",
      "ug BIOSTAT\n",
      "ug CATALAN\n",
      "ug CDB\n",
      "ug CEE\n",
      "ug CHE\n",
      "ug CHEM\n",
      "getting next page\n",
      "ug CJS\n",
      "ug CLARCH\n",
      "ug CLCIV\n",
      "ug CLIMATE\n",
      "ug CMPLXSYS\n",
      "ug COGSCI\n",
      "ug COMM\n",
      "ug COMP\n",
      "ug COMPLIT\n",
      "ug CSP\n",
      "ug CZECH\n",
      "ug DANCE\n",
      "ug DATASCI\n",
      "ug DIGITAL\n",
      "ug DUTCH\n",
      "ug EARTH\n",
      "getting next page\n",
      "getting next page\n",
      "ug EAS\n",
      "ug ECON\n",
      "getting next page\n",
      "ug EDCURINS\n",
      "ug EDUC\n",
      "ug EEB\n",
      "ug EECS\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "ug EHS\n",
      "ug ELI\n",
      "ug ENGLISH\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "ug ENGR\n",
      "ug ENS\n",
      "ug ENSCEN\n",
      "ug ENVIRON\n",
      "getting next page\n",
      "ug ES\n",
      "ug FRENCH\n",
      "getting next page\n",
      "ug FTVM\n",
      "getting next page\n",
      "ug GEOG\n",
      "ug GERMAN\n",
      "getting next page\n",
      "ug GREEK\n",
      "ug GREEKMOD\n",
      "ug GTBOOKS\n",
      "ug HEBREW\n",
      "ug HISTART\n",
      "ug HISTORY\n",
      "getting next page\n",
      "getting next page\n",
      "ug HONORS\n",
      "ug HUMGEN\n",
      "ug IHS\n",
      "ug INSTHUM\n",
      "ug INTLSTD\n",
      "Retrying\n",
      "ug INTMED\n",
      "ug IOE\n",
      "ug ISD\n",
      "ug ISLAM\n",
      "ug ITALIAN\n",
      "ug JAZZ\n",
      "ug JUDAIC\n",
      "ug KINESLGY\n",
      "ug KRSTD\n",
      "ug LACS\n",
      "Retrying\n",
      "ug LATIN\n",
      "ug LATINOAM\n",
      "ug LING\n",
      "ug LSWA\n",
      "ug MACROMOL\n",
      "ug MATH\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "ug MATSCIE\n",
      "ug MCDB\n",
      "Retrying\n",
      "ug MECHENG\n",
      "getting next page\n",
      "Retrying\n",
      "ug MEDCHEM\n",
      "ug MELANG\n",
      "ug MEMS\n",
      "ug MENAS\n",
      "ug MFG\n",
      "ug MICRBIOL\n",
      "ug MIDEAST\n",
      "getting next page\n",
      "ug MILSCI\n",
      "ug MKT\n",
      "ug MOVESCI\n",
      "ug MUSEUMS\n",
      "ug MUSICOL\n",
      "ug MUSMETH\n",
      "ug MUSTHTRE\n",
      "ug NATIVEAM\n",
      "ug NAVARCH\n",
      "ug NAVSCI\n",
      "ug NERS\n",
      "ug NEUROSCI\n",
      "ug NURS\n",
      "ug ORGSTUDY\n",
      "ug PAT\n",
      "ug PATH\n",
      "ug PERSIAN\n",
      "ug PHARMACY\n",
      "ug PHARMSCI\n",
      "ug PHIL\n",
      "ug PHRMACOL\n",
      "ug PHYSICS\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "ug PHYSIOL\n",
      "ug POLISH\n",
      "ug POLSCI\n",
      "getting next page\n",
      "ug PORTUG\n",
      "ug PPE\n",
      "ug PSYCH\n",
      "getting next page\n",
      "getting next page\n",
      "ug PUBHLTH\n",
      "ug PUBPOL\n",
      "ug QMSS\n",
      "ug RCARTS\n",
      "ug RCASL\n",
      "ug RCCORE\n",
      "ug RCHUMS\n",
      "getting next page\n",
      "ug RCIDIV\n",
      "ug RCLANG\n",
      "ug RCMUSIC\n",
      "ug RCNSCI\n",
      "ug RCSSCI\n",
      "ug REEES\n",
      "ug RELIGION\n",
      "ug ROB\n",
      "ug ROMLANG\n",
      "ug ROMLING\n",
      "ug RUSSIAN\n",
      "ug SCAND\n",
      "ug SEAS\n",
      "ug SI\n",
      "ug SLAVIC\n",
      "ug SOC\n",
      "getting next page\n",
      "ug SPACE\n",
      "ug SPANISH\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "ug STATS\n",
      "getting next page\n",
      "ug STDABRD\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "getting next page\n",
      "ug STS\n",
      "ug SW\n",
      "ug TCHNCLCM\n",
      "getting next page\n",
      "ug THEORY\n",
      "getting next page\n",
      "ug THTREMUS\n",
      "getting next page\n",
      "getting next page\n",
      "ug TO\n",
      "ug TURKISH\n",
      "ug UARTS\n",
      "ug UC\n",
      "ug UKR\n",
      "ug URP\n",
      "ug WGS\n",
      "getting next page\n",
      "ug WRITING\n",
      "ug YIDDISH\n",
      "gr AAS\n",
      "gr AERO\n",
      "gr AEROSP\n",
      "gr AES\n",
      "gr ALA\n",
      "gr AMAS\n",
      "gr AMCULT\n",
      "gr ANATOMY\n",
      "gr ANTHRARC\n",
      "gr ANTHRBIO\n",
      "gr ANTHRCUL\n",
      "gr APPPHYS\n",
      "gr ARABIC\n",
      "gr ARCH\n",
      "gr ARMENIAN\n",
      "gr ARTDES\n",
      "gr ARTSADMN\n",
      "gr ASIAN\n",
      "gr ASIANLAN\n",
      "gr ASIANPAM\n",
      "gr ASTRO\n",
      "gr AUTO\n",
      "gr BA\n",
      "gr BCS\n",
      "gr BE\n",
      "gr BIOINF\n",
      "gr BIOLCHEM\n",
      "gr BIOLOGY\n",
      "gr BIOMEDE\n",
      "gr BIOPHYS\n",
      "gr BIOSTAT\n",
      "gr CATALAN\n",
      "gr CDB\n",
      "gr CEE\n",
      "getting next page\n",
      "gr CHE\n",
      "gr CHEM\n",
      "gr CJS\n",
      "gr CLARCH\n",
      "gr CLCIV\n",
      "gr CLIMATE\n",
      "gr CMPLXSYS\n",
      "gr COGSCI\n",
      "gr COMM\n",
      "gr COMP\n",
      "gr COMPLIT\n",
      "gr CSP\n",
      "gr CZECH\n",
      "gr DANCE\n",
      "gr DATASCI\n",
      "gr DIGITAL\n",
      "gr DUTCH\n",
      "gr EARTH\n",
      "gr EAS\n",
      "gr ECON\n",
      "getting next page\n",
      "gr EDCURINS\n",
      "gr EDUC\n",
      "gr EEB\n",
      "gr EECS\n",
      "getting next page\n",
      "getting next page\n",
      "gr EHS\n",
      "gr ELI\n",
      "gr ENGLISH\n",
      "gr ENGR\n",
      "gr ENS\n",
      "gr ENSCEN\n",
      "gr ENVIRON\n",
      "gr ES\n",
      "gr FRENCH\n",
      "gr FTVM\n",
      "gr GEOG\n",
      "gr GERMAN\n",
      "gr GREEK\n",
      "gr GREEKMOD\n",
      "gr GTBOOKS\n",
      "gr HEBREW\n",
      "gr HISTART\n",
      "gr HISTORY\n",
      "gr HONORS\n",
      "gr HUMGEN\n",
      "gr IHS\n",
      "gr INSTHUM\n",
      "gr INTLSTD\n",
      "gr INTMED\n",
      "gr IOE\n",
      "gr ISD\n",
      "gr ISLAM\n",
      "gr ITALIAN\n",
      "gr JAZZ\n",
      "gr JUDAIC\n",
      "gr KINESLGY\n",
      "gr KRSTD\n",
      "gr LACS\n",
      "gr LATIN\n",
      "gr LATINOAM\n",
      "gr LING\n",
      "gr LSWA\n",
      "gr MACROMOL\n",
      "gr MATH\n",
      "getting next page\n",
      "getting next page\n",
      "gr MATSCIE\n",
      "gr MCDB\n",
      "gr MECHENG\n",
      "getting next page\n",
      "gr MEDCHEM\n",
      "gr MELANG\n",
      "gr MEMS\n",
      "gr MENAS\n",
      "gr MFG\n",
      "gr MICRBIOL\n",
      "gr MIDEAST\n",
      "Retrying\n",
      "gr MILSCI\n",
      "gr MKT\n",
      "gr MOVESCI\n",
      "gr MUSEUMS\n",
      "gr MUSICOL\n",
      "gr MUSMETH\n",
      "gr MUSTHTRE\n",
      "gr NATIVEAM\n",
      "gr NAVARCH\n",
      "gr NAVSCI\n",
      "gr NERS\n",
      "gr NEUROSCI\n",
      "gr NURS\n",
      "gr ORGSTUDY\n",
      "gr PAT\n",
      "gr PATH\n",
      "gr PERSIAN\n",
      "gr PHARMACY\n",
      "gr PHARMSCI\n",
      "gr PHIL\n",
      "gr PHRMACOL\n",
      "gr PHYSICS\n",
      "gr PHYSIOL\n",
      "gr POLISH\n",
      "gr POLSCI\n",
      "gr PORTUG\n",
      "gr PPE\n",
      "gr PSYCH\n",
      "getting next page\n",
      "gr PUBHLTH\n",
      "gr PUBPOL\n",
      "gr QMSS\n",
      "gr RCARTS\n",
      "gr RCASL\n",
      "gr RCCORE\n",
      "gr RCHUMS\n",
      "gr RCIDIV\n",
      "gr RCLANG\n",
      "gr RCMUSIC\n",
      "gr RCNSCI\n",
      "gr RCSSCI\n",
      "gr REEES\n",
      "gr RELIGION\n",
      "gr ROB\n",
      "gr ROMLANG\n",
      "gr ROMLING\n",
      "gr RUSSIAN\n",
      "gr SCAND\n",
      "gr SEAS\n",
      "gr SI\n",
      "gr SLAVIC\n",
      "gr SOC\n",
      "gr SPACE\n",
      "gr SPANISH\n",
      "gr STATS\n",
      "getting next page\n",
      "gr STDABRD\n",
      "gr STS\n",
      "gr SW\n",
      "gr TCHNCLCM\n",
      "gr THEORY\n",
      "gr THTREMUS\n",
      "gr TO\n",
      "gr TURKISH\n",
      "gr UARTS\n",
      "gr UC\n",
      "gr UKR\n",
      "gr URP\n",
      "gr WGS\n",
      "gr WRITING\n",
      "gr YIDDISH\n",
      "CPU times: user 29.8 s, sys: 989 ms, total: 30.8 s\n",
      "Wall time: 1min 58s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "course_sections = []\n",
    "url = \"https://www.lsa.umich.edu/cg/cg_results.aspx?termArray={}&cgtype={}&department={}&allsections=true&show=40\"\n",
    "for GRAD in (\"ug\", \"gr\"):\n",
    "    for dep in departments:\n",
    "        print(GRAD, dep)\n",
    "        # Get each course listing from the department\n",
    "        while True:\n",
    "            try:\n",
    "                r = requests.get(url.format(TERM, GRAD, dep), timeout=5)\n",
    "            except requests.exceptions.Timeout:\n",
    "                print(\"Retrying\")\n",
    "                continue\n",
    "            break\n",
    "        soup = BeautifulSoup(r.text)\n",
    "        results = (soup.select(\".row.result\") + soup.select(\".row.resultalt\"))\n",
    "        while soup.select_one(\"#contentMain_hlnkNextBtm\") is not None:\n",
    "            print(\"getting next page\")\n",
    "            while True:\n",
    "                try:\n",
    "                    r = requests.get(\"https://www.lsa.umich.edu/cg/\" + soup.select_one(\"#contentMain_hlnkNextBtm\").get(\"href\"), timeout=5)\n",
    "                    soup = BeautifulSoup(r.text)\n",
    "                    results += (soup.select(\".row.result\") + soup.select(\".row.resultalt\"))\n",
    "                except requests.exceptions.Timeout:\n",
    "                    print(\"Retrying\")\n",
    "                    continue\n",
    "                break\n",
    "        for result in results:\n",
    "            # For each course listing, save the lecture course\n",
    "            parts = [a.strip() for a in result.select_one(\"font\").text.strip().split(\"\\r\\n\")]\n",
    "            dept = parts[0]\n",
    "            number = parts[1]\n",
    "            name = \" \".join(parts[3:])\n",
    "            section, term, credits, mode, instructor, _ = [a.text.strip() for a in result.select_one(\".bottompadding_main\").find_all(\"div\", recursive=False)]\n",
    "            section = \" \".join(section.split())\n",
    "            term = \" \".join(term.split()[1:])\n",
    "            credits = credits.split()[-1]\n",
    "            mode = mode.split()[-1]\n",
    "            course_page = result.select_one(\"a\").get(\"href\")\n",
    "            instructor = \" \".join(instructor.split()[1:])\n",
    "            course_sections.append({\n",
    "                \"dept\": dept,\n",
    "                \"number\": number,\n",
    "                \"name\": name,\n",
    "                \"section\": section,\n",
    "                \"term\": term,\n",
    "                \"credits\": credits,\n",
    "                \"mode\": mode,\n",
    "                \"instructor\": instructor,\n",
    "                \"url\": course_page,\n",
    "            })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6461"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(course_sections)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered = dict()\n",
    "for c in course_sections:\n",
    "    filtered[c[\"dept\"] + \" \" + c[\"number\"]] = c[\"url\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2021, 11, 14, 23, 45, 9, 523735)"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datetime.now()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a7981a3c056b460bb2aee1bfece0b6f9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/3388 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Retrying\n",
      "Retrying\n",
      "Retrying\n",
      "Retrying\n",
      "Retrying\n",
      "Retrying\n",
      "Retrying\n",
      "Retrying\n",
      "Retrying\n",
      "Retrying\n",
      "Retrying\n",
      "Retrying\n"
     ]
    }
   ],
   "source": [
    "# Get ALL of the sections\n",
    "all_sections = []\n",
    "\n",
    "for name, url in tqdm(filtered.items()):\n",
    "    while True:\n",
    "        try:\n",
    "            r = requests.get(\"https://www.lsa.umich.edu/cg/\" + url, timeout=5)\n",
    "        except requests.exceptions.Timeout:\n",
    "            print(\"Retrying\")\n",
    "            continue\n",
    "        break\n",
    "    soup = BeautifulSoup(r.text)\n",
    "    for row in soup.select(\".row.clsschedulerow\"):\n",
    "        row = row.select_one(\".row\")\n",
    "        parts = [\" \".join(a.text.strip().split()) for a in row.select(\".col-md-1\")]\n",
    "        # turn into object\n",
    "        obj = {\"course\": name, \"time\": datetime.now()}\n",
    "        for part in parts:\n",
    "            pieces = part.strip().split(\":\")\n",
    "            key = pieces[0].strip()\n",
    "            val = \" \".join([p.strip() for p in pieces[1:]])\n",
    "            obj[key] = val\n",
    "        all_sections.append(obj)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'Section': '004 (SEM)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '34814',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '003 (SEM)',\n",
       "  'Instruction Mode': 'Hybrid',\n",
       "  'Class No': '26479',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '004 (SEM)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '36990',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '005 (SEM)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '37588',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '9',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '002 (REC)',\n",
       "  'Instruction Mode': 'Hybrid',\n",
       "  'Class No': '19498',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '003 (REC)',\n",
       "  'Instruction Mode': 'Hybrid',\n",
       "  'Class No': '24616',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '16',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
       "  'Instruction Mode': 'Hybrid',\n",
       "  'Class No': '30434',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '8',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (LEC)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '27461',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '30',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (SEM)',\n",
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       "  'Class No': '30375',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '45',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '003 (REC)',\n",
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       "  'Class No': '30376',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '004 (REC)',\n",
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       " {'Section': '005 (REC)',\n",
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       " {'Section': '006 (REC)',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '007 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Class No': '11812',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '002 (REC)',\n",
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       " {'Section': '003 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '004 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '005 (REC)',\n",
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       "  'Class No': '11110',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '006 (REC)',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '007 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Class No': '11111',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '002 (REC)',\n",
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       "  'Class No': '11112',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '003 (REC)',\n",
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       "  'Class No': '11113',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '004 (REC)',\n",
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       "  'Class No': '24030',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '16',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Class No': '11815',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '002 (REC)',\n",
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       "  'Class No': '22605',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Class No': '23676',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '30353',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '14',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '30355',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '6',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '15928',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Class No': '26270',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Class No': '11816',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Class No': '11814',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '8',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (LEC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '002 (LEC)',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '003 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '004 (REC)',\n",
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       "  'Class No': '11442',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '005 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '006 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '007 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '008 (REC)',\n",
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       "  'Class No': '37044',\n",
       "  'Enroll Stat': 'Open',\n",
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       " {'Section': '001 (LEC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '004 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       " {'Section': '001 (REC)',\n",
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       " {'Section': '001 (REC)',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Class No': '11819',\n",
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       "  'Open Seats': '5',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Open Seats': '15',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (SEM)',\n",
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       "  'Class No': '37037',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (LEC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '002 (REC)',\n",
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       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       " {'Section': '001 (REC)',\n",
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       " {'Section': '001 (REC)',\n",
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       " {'Section': '001 (REC)',\n",
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       " {'Section': '001 (REC)',\n",
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       "  'Wait List': '-'},\n",
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       " {'Section': '001 (REC)',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (REC)',\n",
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       "  'Wait List': '-'},\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '001 (IND)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       " {'Section': '001 (LEC)',\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '002 (DIS)',\n",
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       "  'Class No': '27753',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
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       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '005 (DIS)',\n",
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       "  'Class No': '35002',\n",
       "  'Enroll Stat': 'Open',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '006 (DIS)',\n",
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       "  'Wait List': '-'},\n",
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       "  'Wait List': '-'},\n",
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       " {'Section': '002 (LEC)',\n",
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       "  'Wait List': '-'},\n",
       " {'Section': '220 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '34313',\n",
       "  'Enroll Stat': 'Closed',\n",
       "  'Open Seats': '0',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '221 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '34316',\n",
       "  'Enroll Stat': 'Closed',\n",
       "  'Open Seats': '0',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '222 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '34317',\n",
       "  'Enroll Stat': 'Closed',\n",
       "  'Open Seats': '0',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (IND)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '11973',\n",
       "  'Enroll Stat': 'Closed',\n",
       "  'Open Seats': '0',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (LEC)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '24242',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '80',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '002 (LAB)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '24245',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '003 (LAB)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '24246',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '004 (LAB)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '24247',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '005 (LAB)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '24248',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (LEC)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '26484',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '35',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (SEM)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '30780',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '40',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '002 (SEM)',\n",
       "  'Instruction Mode': 'Online',\n",
       "  'Class No': '30781',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (LEC)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '29581',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '175',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (SEM)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '20250',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '002 (SEM)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '25985',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '003 (SEM)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '35522',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '004 (SEM)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '35611',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (LEC)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '35525',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '120',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '002 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '36315',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '003 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '36316',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '004 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '36317',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '005 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '36318',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '006 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '36319',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '007 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '36320',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (LEC)',\n",
       "  'Instruction Mode': 'Hybrid',\n",
       "  'Class No': '18536',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '600',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '002 (LEC)',\n",
       "  'Instruction Mode': 'Hybrid',\n",
       "  'Class No': '18537',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '600',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '005 (LEC)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18538',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '60',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '006 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18552',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '007 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18540',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '008 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '21761',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '009 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18667',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '010 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18541',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '011 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18542',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '012 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18543',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '013 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18544',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '014 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18545',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '015 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18668',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '016 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18669',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '017 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18546',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '018 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18547',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '019 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18548',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '020 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18549',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '021 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18550',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '022 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18551',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '023 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18671',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '024 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18553',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '025 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18672',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '026 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18673',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '027 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18554',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '028 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18555',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '029 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18556',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '032 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18557',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '033 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18558',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '034 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18675',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '037 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18560',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '18',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '100 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18670',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '30',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '101 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18674',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '30',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '200 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18539',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '201 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18666',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '20',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '001 (LEC)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18489',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '525',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '002 (LEC)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18490',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '525',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '005 (LEC)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18493',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '60',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '008 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '21760',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '009 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18497',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '010 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18498',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '011 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18499',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '012 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18523',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '013 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18501',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '014 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18502',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '015 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18524',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '016 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18504',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '017 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18505',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '018 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18506',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '019 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18507',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '020 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18508',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '021 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18509',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '023 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18511',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '024 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18512',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '026 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18514',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '028 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18515',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '029 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '21988',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '099 (MID)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '30798',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '475',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '100 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18496',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '30',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '101 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18503',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '30',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '199 (MID)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '30800',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '50',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '200 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '18500',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '201 (DIS)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '26035',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '25',\n",
       "  'Wait List': '-'},\n",
       " {'Section': '299 (MID)',\n",
       "  'Instruction Mode': 'In Person',\n",
       "  'Class No': '30799',\n",
       "  'Enroll Stat': 'Open',\n",
       "  'Open Seats': '50',\n",
       "  'Wait List': '-'},\n",
       " ...]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_sections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(all_sections)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "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>Section</th>\n",
       "      <th>Instruction Mode</th>\n",
       "      <th>Class No</th>\n",
       "      <th>Enroll Stat</th>\n",
       "      <th>Open Seats</th>\n",
       "      <th>Wait List</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>004 (SEM)</td>\n",
       "      <td>In Person</td>\n",
       "      <td>34814</td>\n",
       "      <td>Open</td>\n",
       "      <td>18</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>003 (SEM)</td>\n",
       "      <td>Hybrid</td>\n",
       "      <td>26479</td>\n",
       "      <td>Open</td>\n",
       "      <td>18</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>004 (SEM)</td>\n",
       "      <td>In Person</td>\n",
       "      <td>36990</td>\n",
       "      <td>Open</td>\n",
       "      <td>18</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>005 (SEM)</td>\n",
       "      <td>In Person</td>\n",
       "      <td>37588</td>\n",
       "      <td>Open</td>\n",
       "      <td>9</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>002 (REC)</td>\n",
       "      <td>Hybrid</td>\n",
       "      <td>19498</td>\n",
       "      <td>Open</td>\n",
       "      <td>18</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Section Instruction Mode Class No Enroll Stat Open Seats Wait List\n",
       "0  004 (SEM)        In Person    34814        Open         18         -\n",
       "1  003 (SEM)           Hybrid    26479        Open         18         -\n",
       "2  004 (SEM)        In Person    36990        Open         18         -\n",
       "3  005 (SEM)        In Person    37588        Open          9         -\n",
       "4  002 (REC)           Hybrid    19498        Open         18         -"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Online    0.681597\n",
       "Person    0.181280\n",
       "Hybrid    0.137122\n",
       "Name: mode, dtype: float64"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"mode\"].value_counts() / df[\"mode\"].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mode\n",
       "Online    0.737762\n",
       "Hybrid    0.150350\n",
       "Person    0.111888\n",
       "Name: mode, dtype: float64"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df.groupby(\"dept\")[\"mode\"].value_counts() / df.groupby(\"dept\")[\"mode\"].count()).loc[\"ENGLISH\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "THTREMUS    136\n",
       "STDABRD      86\n",
       "PSYCH        48\n",
       "ENGLISH      32\n",
       "ARTDES       25\n",
       "GERMAN       24\n",
       "BIOLOGY      19\n",
       "ENVIRON      14\n",
       "AAS          14\n",
       "CHEM         11\n",
       "Name: dept, dtype: int64"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(\"mode\").get_group(\"Person\").dept.value_counts()[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ENGLISH     43\n",
       "MATH        28\n",
       "HISTORY     25\n",
       "ASIANLAN    20\n",
       "FTVM        20\n",
       "AAS         19\n",
       "CEE         17\n",
       "MECHENG     16\n",
       "ENVIRON     16\n",
       "ASIAN       16\n",
       "Name: dept, dtype: int64"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(\"mode\").get_group(\"Hybrid\").dept.value_counts()[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(\"./undergrad_sections.csv\", index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['AAS', 'AERO', 'AEROSP', 'AES', 'ALA', 'AMCULT', 'ANATOMY',\n",
       "       'ANTHRARC', 'ANTHRBIO', 'ANTHRCUL', 'APPPHYS', 'ARABAM', 'ARABIC',\n",
       "       'ARCH', 'ARMENIAN', 'ARTDES', 'ARTSADMN', 'ASIAN', 'ASIANLAN',\n",
       "       'ASIANPAM', 'ASTRO', 'AUTO', 'BA', 'BCS', 'BIOINF', 'BIOLCHEM',\n",
       "       'BIOLOGY', 'BIOMEDE', 'BIOPHYS', 'BIOSTAT', 'CATALAN', 'CEE',\n",
       "       'CHE', 'CHEM', 'CJS', 'CLARCH', 'CLCIV', 'CLIMATE', 'CMPLXSYS',\n",
       "       'COGSCI', 'COMM', 'COMP', 'COMPLIT', 'CSP', 'CZECH', 'DANCE',\n",
       "       'DATASCI', 'DIGITAL', 'DUTCH', 'EARTH', 'EAS', 'ECON', 'EDCURINS',\n",
       "       'EDUC', 'EEB', 'EECS', 'ELI', 'ENGLISH', 'ENGR', 'ENS', 'ENSCEN',\n",
       "       'ENVIRON', 'ES', 'ESENG', 'FRENCH', 'FTVM', 'GEOG', 'GERMAN',\n",
       "       'GREEK', 'GREEKMOD', 'GTBOOKS', 'HEBREW', 'HISTART', 'HISTORY',\n",
       "       'HONORS', 'HS', 'HUMGEN', 'INSTHUM', 'INTLSTD', 'INTMED', 'IOE',\n",
       "       'ISLAM', 'ITALIAN', 'JAZZ', 'JUDAIC', 'KINESLGY', 'KRSTD', 'LACS',\n",
       "       'LATIN', 'LATINOAM', 'LING', 'LSWA', 'MACROMOL', 'MATH', 'MATSCIE',\n",
       "       'MCDB', 'MECHENG', 'MEDCHEM', 'MELANG', 'MEMS', 'MENAS', 'MFG',\n",
       "       'MICRBIOL', 'MIDEAST', 'MILSCI', 'MKT', 'MOVESCI', 'MUSEUMS',\n",
       "       'MUSICOL', 'MUSMETH', 'MUSTHTRE', 'NATIVEAM', 'NAVARCH', 'NAVSCI',\n",
       "       'NERS', 'NURS', 'ORGSTUDY', 'PAT', 'PATH', 'PERSIAN', 'PHARMACY',\n",
       "       'PHARMSCI', 'PHIL', 'PHRMACOL', 'PHYSICS', 'PHYSIOL', 'PIBS',\n",
       "       'POLISH', 'POLSCI', 'PORTUG', 'PPE', 'PSYCH', 'PUBHLTH', 'PUBPOL',\n",
       "       'QMSS', 'RCARTS', 'RCASL', 'RCCORE', 'RCHUMS', 'RCIDIV', 'RCLANG',\n",
       "       'RCMUSIC', 'RCNSCI', 'RCSSCI', 'REEES', 'RELIGION', 'ROMLANG',\n",
       "       'ROMLING', 'RUSSIAN', 'SCAND', 'SEAS', 'SI', 'SLAVIC', 'SOC',\n",
       "       'SPACE', 'SPANISH', 'STATS', 'STDABRD', 'STRATEGY', 'TCHNCLCM',\n",
       "       'THEORY', 'THTREMUS', 'TO', 'TURKISH', 'UARTS', 'UC', 'UKR', 'URP',\n",
       "       'WGS', 'WRITING', 'YIDDISH'], dtype=object)"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df.dept.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "scrolled": true
   },
   "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>dept</th>\n",
       "      <th>number</th>\n",
       "      <th>name</th>\n",
       "      <th>section</th>\n",
       "      <th>term</th>\n",
       "      <th>credits</th>\n",
       "      <th>mode</th>\n",
       "      <th>instructor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AAS</td>\n",
       "      <td>103</td>\n",
       "      <td>First Year Social Science Seminar</td>\n",
       "      <td>Section 001 (SEM) Reading Africa: Critical Per...</td>\n",
       "      <td>FA 2020</td>\n",
       "      <td>3</td>\n",
       "      <td>Person</td>\n",
       "      <td>Stein,Howard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AAS</td>\n",
       "      <td>103</td>\n",
       "      <td>First Year Social Science Seminar</td>\n",
       "      <td>Section 003 (SEM) The City Life in Urban Africa</td>\n",
       "      <td>FA 2020</td>\n",
       "      <td>3</td>\n",
       "      <td>Online</td>\n",
       "      <td>Murray,Martin J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AAS</td>\n",
       "      <td>103</td>\n",
       "      <td>First Year Social Science Seminar</td>\n",
       "      <td>Section 005 (SEM) Race and Democracy</td>\n",
       "      <td>FA 2020</td>\n",
       "      <td>3</td>\n",
       "      <td>Hybrid</td>\n",
       "      <td>Dillard,Angela Denise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AAS</td>\n",
       "      <td>104</td>\n",
       "      <td>First Year Humanities Seminar</td>\n",
       "      <td>Section 004 (SEM) Nonviolence: From Montgomery...</td>\n",
       "      <td>FA 2020</td>\n",
       "      <td>3</td>\n",
       "      <td>Person</td>\n",
       "      <td>Ellsworth,Scott A; homepage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AAS</td>\n",
       "      <td>104</td>\n",
       "      <td>First Year Humanities Seminar</td>\n",
       "      <td>Section 006 (SEM) Say It Loud: Black Culture i...</td>\n",
       "      <td>FA 2020</td>\n",
       "      <td>3</td>\n",
       "      <td>Online</td>\n",
       "      <td>Berrey,Stephen</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  dept number                               name  \\\n",
       "0  AAS    103  First Year Social Science Seminar   \n",
       "1  AAS    103  First Year Social Science Seminar   \n",
       "2  AAS    103  First Year Social Science Seminar   \n",
       "3  AAS    104      First Year Humanities Seminar   \n",
       "4  AAS    104      First Year Humanities Seminar   \n",
       "\n",
       "                                             section     term credits    mode  \\\n",
       "0  Section 001 (SEM) Reading Africa: Critical Per...  FA 2020       3  Person   \n",
       "1    Section 003 (SEM) The City Life in Urban Africa  FA 2020       3  Online   \n",
       "2               Section 005 (SEM) Race and Democracy  FA 2020       3  Hybrid   \n",
       "3  Section 004 (SEM) Nonviolence: From Montgomery...  FA 2020       3  Person   \n",
       "4  Section 006 (SEM) Say It Loud: Black Culture i...  FA 2020       3  Online   \n",
       "\n",
       "                    instructor  \n",
       "0                 Stein,Howard  \n",
       "1              Murray,Martin J  \n",
       "2        Dillard,Angela Denise  \n",
       "3  Ellsworth,Scott A; homepage  \n",
       "4               Berrey,Stephen  "
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MATH       323\n",
       "ENGLISH    286\n",
       "SPANISH    188\n",
       "EECS       170\n",
       "PHYSICS    154\n",
       "          ... \n",
       "GTBOOKS      1\n",
       "BIOSTAT      1\n",
       "MUSMETH      1\n",
       "UARTS        1\n",
       "MKT          1\n",
       "Name: dept, Length: 171, dtype: int64"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dept.value_counts().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chart types\n",
    "\n",
    "- force thingy chart with circles??? maybe size by # of sections\n",
    "- something simpler would be a proportional bars\n",
    "- searchable table\n",
    "\n",
    "# Questions\n",
    "\n",
    "- Is my class online?\n",
    "- Which departments have the most/least online classes?\n",
    "- Which subjects have the most/least online classes?\n",
    "- Which professors are teaching most/least online?\n",
    "\n",
    "\n",
    "How are professors preparing to teach different types of classes?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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