diff --git a/data/data-utils/scrape_grade_distribution.py b/data/data-utils/scrape_grade_distribution.py new file mode 100644 index 00000000..712553e6 --- /dev/null +++ b/data/data-utils/scrape_grade_distribution.py @@ -0,0 +1,416 @@ +"""Scrape VT UDC grade distributions into the Odysseus CSV format. + +The UDC API stores table payloads as base64-encoded Brotli JSON. This script +does the same work as the web page: discover subjects, discover courses, fetch +grade rows for the selected window, then write a flat CSV. +""" + +import argparse +import asyncio +import base64 +import csv +import json +from pathlib import Path + +import aiohttp +import brotli +from yarl import URL + + +BASE_URL = "https://udc.vt.edu/irdata/data/courses/grades" +API_URL = "https://udc.vt.edu/api/irdata/data/courses/grades" +OUTPUT_PATH = Path(__file__).resolve().parent.parent / "raw-data" / "newGradeDistribution.csv" +DEFAULT_FROM_ACADEMIC_YEAR = "2024-25" +DEFAULT_FROM_TERM = "Winter" +DEFAULT_TO_ACADEMIC_YEAR = "2025-26" + +CSV_FIELDS = [ + "Academic Year", + "Term", + "Subject", + "Course No.", + "Course Title", + "Instructor", + "GPA", + "A (%)", + "A- (%)", + "B+ (%)", + "B (%)", + "B- (%)", + "C+ (%)", + "C (%)", + "C- (%)", + "D+ (%)", + "D (%)", + "D- (%)", + "F (%)", + "Withdraws", + "Graded Enrollment", + "CRN", + "Credits", +] + +FIELD_MAP = { + "Academic Year": "academic_year", + "Term": "term", + "Subject": "subject_code", + "Course No.": "course_number", + "Course Title": "course_title", + "Instructor": "instructor", + "GPA": "gpa", + "A (%)": "grade_a", + "A- (%)": "grade_a_negative", + "B+ (%)": "grade_b_positive", + "B (%)": "grade_b", + "B- (%)": "grade_b_negative", + "C+ (%)": "grade_c_positive", + "C (%)": "grade_c", + "C- (%)": "grade_c_negative", + "D+ (%)": "grade_d_positive", + "D (%)": "grade_d", + "D- (%)": "grade_d_negative", + "F (%)": "grade_f", + "Withdraws": "withdraws", + "Graded Enrollment": "student_no", + "CRN": "course_ref_no", + "Credits": "credit_hours", +} + + +def decompress_payload(payload): + """Decode a UDC compressed table payload.""" + if not payload: + return None + return json.loads(brotli.decompress(base64.b64decode(payload))) + + +def cdt_to_rows(cdt): + """Convert UDC's compact data table shape into dictionaries.""" + schema = cdt["schema"] + return [dict(zip(schema, row)) for row in cdt["data"]] + + +def sql_value(value): + """Quote a value for UDC's simple SQL-like filter language.""" + return "'" + str(value).replace("'", "''") + "'" + + +def course_condition(subject, course_number, course_title): + return ( + f'("subject_code"={sql_value(subject)} AND ' + f'"course_number"={sql_value(course_number)} AND ' + f'"course_title"={sql_value(course_title)})' + ) + + +def add_filter(condition, field, values): + if not values: + return condition + choices = " OR ".join(f'"{field}"={sql_value(value)}' for value in values) + return f"({condition} AND ({choices}))" + + +def default_output_selected(output_path): + return output_path.resolve() == OUTPUT_PATH.resolve() + + +def range_condition(from_academic_year, from_term, to_academic_year): + """Default window: starting term plus all rows in the next academic year.""" + return ( + f'(("academic_year"={sql_value(from_academic_year)} ' + f'AND "term"={sql_value(from_term)}) ' + f'OR "academic_year"={sql_value(to_academic_year)})' + ) + + +def selected_window(args): + """Use the default window unless the caller chose explicit filters.""" + if args.academic_year or args.term: + return None + return range_condition( + args.from_academic_year, + args.from_term, + args.to_academic_year, + ) + + +def row_in_window(row, args): + """Mirror the API filter locally so the CSV cannot leak extra rows.""" + if args.academic_year and row.get("academic_year") not in args.academic_year: + return False + if args.term and row.get("term") not in args.term: + return False + if args.academic_year or args.term: + return True + return ( + row.get("academic_year") == args.to_academic_year + or ( + row.get("academic_year") == args.from_academic_year + and row.get("term") == args.from_term + ) + ) + + +def normalize_number(value): + if value is None: + return "" + if isinstance(value, float) and value.is_integer(): + return str(int(value)) + return str(value) + + +async def request_text(session, method, url, *, retries=5, **kwargs): + """Fetch a URL with a small retry loop for transient UDC errors.""" + for attempt in range(retries): + try: + async with session.request(method, url, **kwargs) as response: + text = await response.text() + if response.status < 500: + return response.status, text + except (aiohttp.ClientError, asyncio.TimeoutError): + pass + await asyncio.sleep(0.2 * (attempt + 1)) + return 0, "" + + +async def get_csrf_token(session): + """Load the UDC page once so the API accepts subsequent POST requests.""" + status, text = await request_text(session, "GET", BASE_URL, retries=8) + if status != 200: + raise RuntimeError(f"Could not load grade distribution page: HTTP {status}") + + token = session.cookie_jar.filter_cookies(URL(BASE_URL)).get("csrftoken") + if not token: + raise RuntimeError("Could not find csrftoken cookie on grade distribution page.") + return token.value + + +async def get_compressed_json(session, path, *, condition=None): + """Fetch and decode one UDC API endpoint.""" + url = f"{API_URL}/{path}" + if condition: + status, text = await request_text(session, "POST", url, json={"c": condition}) + else: + status, text = await request_text(session, "GET", url) + if status != 200: + raise RuntimeError(f"Could not fetch {url}: HTTP {status}") + return decompress_payload(json.loads(text)) + + +async def get_subjects(session, selected_subjects): + """Return all subjects, or only the requested subject codes.""" + subjects = await get_compressed_json(session, "subject_code") + if selected_subjects: + selected = {subject.upper() for subject in selected_subjects} + subjects = [subject for subject in subjects if subject in selected] + return subjects + + +async def get_courses_for_subject(session, subject): + """Return the course list for one subject.""" + courses = await get_compressed_json( + session, + "course_no", + condition=f'"subject_code"={sql_value(subject)}', + ) + return [ + { + "subject": course[0], + "course_number": course[1], + "course_title": course[2], + } + for course in courses + ] + + +async def fetch_course_rows(session, semaphore, course, academic_years, terms, window_condition): + """Fetch grade rows for one course.""" + condition = course_condition( + course["subject"], + course["course_number"], + course["course_title"], + ) + if window_condition: + condition = f"({condition} AND {window_condition})" + else: + condition = add_filter(condition, "academic_year", academic_years) + condition = add_filter(condition, "term", terms) + + async with semaphore: + status, text = await request_text(session, "POST", API_URL, json={"c": condition}) + + if status != 200: + return course, None + payload = json.loads(text) + return course, cdt_to_rows(decompress_payload(payload)) if payload else [] + + +async def scrape(args): + """Scrape grade rows and write the output CSV.""" + output_path = Path(args.output) + if output_path.exists() and not args.overwrite and not default_output_selected(output_path): + raise FileExistsError( + f"{output_path} already exists. Pass --overwrite to replace it." + ) + + timeout = aiohttp.ClientTimeout(total=args.timeout) + connector = aiohttp.TCPConnector(limit=0, ttl_dns_cache=300) + cookie_jar = aiohttp.CookieJar() + + async with aiohttp.ClientSession( + timeout=timeout, + connector=connector, + cookie_jar=cookie_jar, + headers={ + "User-Agent": "Mozilla/5.0", + "Referer": BASE_URL, + "Origin": "https://udc.vt.edu", + }, + ) as session: + csrf_token = await get_csrf_token(session) + session.headers.update({"X-CSRFToken": csrf_token}) + + subjects = await get_subjects(session, args.subject) + print(f"Found {len(subjects)} subjects to scrape.") + + course_lists = await asyncio.gather( + *(get_courses_for_subject(session, subject) for subject in subjects) + ) + courses = [course for course_list in course_lists for course in course_list] + if args.course_number: + selected_numbers = set(args.course_number) + courses = [ + course + for course in courses + if course["course_number"] in selected_numbers + ] + if args.limit_courses: + courses = courses[: args.limit_courses] + + print(f"Found {len(courses)} courses to scrape.") + + rows = [] + failed = [] + semaphore = asyncio.Semaphore(args.concurrency) + window_condition = selected_window(args) + tasks = [ + fetch_course_rows( + session, + semaphore, + course, + args.academic_year, + args.term, + window_condition, + ) + for course in courses + ] + + for index, task in enumerate(asyncio.as_completed(tasks), start=1): + course, course_rows = await task + if course_rows is None: + failed.append(course) + else: + rows.extend(course_rows) + + if index % 100 == 0: + print(f" Courses complete: {index}/{len(courses)}") + + if failed: + raise RuntimeError(f"Could not fetch {len(failed)} courses after retries.") + + csv_rows = [] + seen = set() + for row in rows: + if not row_in_window(row, args): + continue + key = ( + row.get("academic_year"), + row.get("term_code_full"), + row.get("subject_code"), + row.get("course_number"), + row.get("course_title"), + row.get("instructor"), + row.get("course_ref_no"), + ) + if key in seen: + continue + seen.add(key) + csv_rows.append([normalize_number(row.get(FIELD_MAP[field])) for field in CSV_FIELDS]) + + csv_rows.sort(key=lambda row: (row[0], row[1], row[2], row[3], row[20], row[5])) + + output_path.parent.mkdir(parents=True, exist_ok=True) + with open(output_path, "w", newline="", encoding="utf-8") as csvfile: + csvfile.write(",".join(CSV_FIELDS) + "\n") + writer = csv.writer(csvfile, quoting=csv.QUOTE_ALL) + writer.writerows(csv_rows) + + print(f"Done. Wrote {len(csv_rows)} grade distribution rows to {output_path}.") + + +def parse_args(): + parser = argparse.ArgumentParser( + description="Scrape VT UDC grade distributions into the Odysseus CSV format." + ) + parser.add_argument("--output", default=str(OUTPUT_PATH), help="CSV path to write.") + parser.add_argument( + "--academic-year", + action="append", + default=[], + help='Academic year to include, e.g. "2024-25". May be repeated.', + ) + parser.add_argument( + "--term", + action="append", + default=[], + help="Term to include. Overrides the default Winter 2024 onward window when used.", + ) + parser.add_argument( + "--from-academic-year", + default=DEFAULT_FROM_ACADEMIC_YEAR, + help='Default range start academic year, e.g. "2024-25".', + ) + parser.add_argument( + "--from-term", + default=DEFAULT_FROM_TERM, + help='Default range start term, e.g. "Winter".', + ) + parser.add_argument( + "--to-academic-year", + default=DEFAULT_TO_ACADEMIC_YEAR, + help='Default range end academic year, e.g. "2025-26".', + ) + parser.add_argument( + "--subject", + action="append", + default=[], + help='Subject code to include, e.g. "ECE". May be repeated.', + ) + parser.add_argument( + "--course-number", + action="append", + default=[], + help='Course number to include, e.g. "4664". May be repeated.', + ) + parser.add_argument("--concurrency", type=int, default=16) + parser.add_argument("--timeout", type=int, default=30) + parser.add_argument( + "--overwrite", + action="store_true", + help="Replace the output file if it already exists.", + ) + parser.add_argument( + "--limit-courses", + type=int, + default=0, + help="Only scrape the first N discovered courses. Intended for smoke tests.", + ) + return parser.parse_args() + + +def main(): + asyncio.run(scrape(parse_args())) + + +if __name__ == "__main__": + main() diff --git a/data/data-utils/scrape_sections.py b/data/data-utils/scrape_sections.py index e4cc29a3..121fb9f6 100644 --- a/data/data-utils/scrape_sections.py +++ b/data/data-utils/scrape_sections.py @@ -1,56 +1,276 @@ -import json +"""Scrape VT timetable section instructors. + +This script writes lines like: + + 2024;12;40002:Tew, Gregory + +The timetable search page gives us CRNs. The section detail page gives the +canonical instructor name in "Last, First" form, so we fetch both pages. +""" + +import re +import threading +import time +from concurrent.futures import ThreadPoolExecutor, as_completed +from pathlib import Path + import requests from bs4 import BeautifulSoup -sections = {} -with open("../raw-data/newSection.json") as f: - sections = json.load(f) - - -def crn_term_map(super_crn): - crn_parts = super_crn.split(";") - if crn_parts[1] == "01": - crn_parts[0] = str(int(crn_parts[0]) + 1) - return crn_parts - - -def fetch(session, super_crn, file, cookie): - try: - request_vars = crn_term_map(super_crn) - with session.get( - url=f"https://apps.es.vt.edu/ssb/HZSKVTSC.P_ProcComments?CRN={request_vars[2]}&TERM={request_vars[1]}&YEAR={request_vars[0]}", - cookies = cookie - ) as res: - if res.status_code != 200: - file.write(f"{super_crn}:{res.status}\n") - print(f"An error occurred for section {super_crn}: {res.status}") - return - html = res.text - soup = BeautifulSoup(html, "html.parser") - instructor_label = soup.find("td", class_="mplabel", string="Instructor") - instructor_name_cell = instructor_label.find_next("tr").find( - "td", class_="mpdefault" - ) - instructor = instructor_name_cell.text.strip() - file.write(f"{super_crn}:{instructor}\n") - return res.cookies.get_dict()['SESSID'] - - except Exception as e: - print(f"An error occurred for section {super_crn}: {e}") - file.write(f"{super_crn}:null\n") +BASE_URL = "https://selfservice.banner.vt.edu/ssb/HZSKVTSC.P_ProcRequest" +COMMENTS_URL = "https://selfservice.banner.vt.edu/ssb/HZSKVTSC.P_ProcComments" + +# Banner term codes for Winter 2024-25 through Spring 2026. +START_TERM = "202412" +END_TERM = "202601" +OUTPUT_PATH = Path(__file__).resolve().parent.parent / "raw-data" / "superCrnToProfessor.txt" + +# Command line: +# python scrape_sections.py 25 50 +# first number = subject/term search workers, second number = instructor detail workers +DISCOVERY_WORKERS = 25 +FETCH_WORKERS = 50 +REQUEST_TIMEOUT = 45 +MAX_RETRIES = 8 +MAX_POOL_ROUNDS = 10 + +THREAD_LOCAL = threading.local() +HEADERS = { + "User-Agent": "Mozilla/5.0", +} + + +def get_session(): + """Keep one requests session per worker thread.""" + if not hasattr(THREAD_LOCAL, "session"): + THREAD_LOCAL.session = requests.Session() + THREAD_LOCAL.session.headers.update(HEADERS) + return THREAD_LOCAL.session + + +def request_text(method, url, **kwargs): + """Fetch a page with retries. + + Banner sometimes returns "no available server" with a 503 during busy + periods. Treat that as retryable, but keep the final status for errors. + """ + last_status = 0 + last_text = "" + for attempt in range(MAX_RETRIES): + try: + res = get_session().request(method, url, timeout=REQUEST_TIMEOUT, **kwargs) + text = res.text + last_status = res.status_code + last_text = text + if res.status_code < 500 and "no available server" not in text.lower(): + return res.status_code, text + except requests.RequestException: + pass + time.sleep(min(5, 0.5 * (attempt + 1))) + return last_status, last_text + + +def parse_options(html, select_name): + soup = BeautifulSoup(html, "html.parser") + select = soup.find("select", {"name": select_name}) + if not select: + return [] + return [ + (opt.get("value"), opt.text.strip()) + for opt in select.find_all("option") + if opt.get("value") and opt.get("value") != "%" + ] + + +def get_landing_page(history): + params = {"history": "Y"} if history == "Y" else None + status, text = request_text("GET", BASE_URL, params=params) + if status != 200: + raise RuntimeError(f"Could not load timetable page for history={history}: HTTP {status}") + return text + + +def get_subjects_and_terms(): + """Read the subject list and the allowed term window from Banner.""" + pages = { + "Y": get_landing_page("Y"), + "N": get_landing_page("N"), + } + + subjects = sorted( + { + value + for html in pages.values() + for value, _ in parse_options(html, "SUBJ_CODE") + } + ) + + terms = {} + for history, html in pages.items(): + for value, label in parse_options(html, "TERMYEAR"): + if value.isdigit() and len(value) == 6 and START_TERM <= value <= END_TERM: + terms[value] = {"value": value, "label": label, "history": history} + + ordered_terms = [terms[value] for value in sorted(terms)] + print(f"Found {len(subjects)} subjects.") + print("Terms to scrape: " + ", ".join(f"{t['value']} ({t['label']})" for t in ordered_terms)) + return subjects, ordered_terms + + +def discover_refs(term, subject): + """Find all section-detail links for one subject in one term.""" + payload = { + "CAMPUS": "0", + "TERMYEAR": term["value"], + "CORE_CODE": "AR%", + "SUBJ_CODE": subject, + "SCHDTYPE": "%", + "CRSE_NUMBER": "", + "crn": "", + "open_only": "", + "history": term["history"], + "BTN_PRESSED": "FIND class sections", + "inst_name": "", + } + status, text = request_text("POST", BASE_URL, data=payload) + if status != 200: + return None + + year = term["value"][:4] + term_code = term["value"][4:] + refs = [] + for match in re.finditer( + r"HZSKVTSC\.P_ProcComments\?CRN=(\d+)&TERM=([^&]+)&YEAR=(\d+)&SUBJ=([^&]+)&CRSE=([^&\"\\]+)&history=([YN])", + text, + ): + crn, term_from_url, year_from_url, subj, crse, history = match.groups() + refs.append( + { + "super_crn": f"{year};{term_code};{crn}", + "params": { + "CRN": crn, + "TERM": term_from_url, + "YEAR": year_from_url, + "SUBJ": subj, + "CRSE": crse, + "history": history, + }, + } + ) + return refs + + +def parse_instructor(html): + """Extract the canonical instructor name from a section detail page.""" + soup = BeautifulSoup(html, "html.parser") + instructor_label = soup.find("td", class_="mplabel", string="Instructor") + if not instructor_label: + return "N/A" + + instructor_name_row = instructor_label.find_next("tr") + if not instructor_name_row: + return "N/A" + + instructor_name_cell = instructor_name_row.find("td", class_="mpdefault") + if not instructor_name_cell: + return "N/A" + + instructor = instructor_name_cell.get_text(" ", strip=True) + return instructor or "N/A" + + +def fetch_instructor(ref): + """Return one output row for a section.""" + status, text = request_text("GET", COMMENTS_URL, params=ref["params"]) + if status != 200: + return f"{ref['super_crn']}:N/A" + return f"{ref['super_crn']}:{parse_instructor(text)}" + + +def run_pool(items, workers, fn, label): + """Run a simple retrying thread pool and lower pressure if Banner struggles.""" + results = [] + pending = list(items) + round_number = 1 + current_workers = workers + + while pending and round_number <= MAX_POOL_ROUNDS: + total = len(pending) + failed = [] + print(f"{label} round {round_number}: {total} items with {current_workers} workers") + + with ThreadPoolExecutor(max_workers=current_workers) as executor: + future_to_item = {executor.submit(fn, item): item for item in pending} + for completed, future in enumerate(as_completed(future_to_item), start=1): + item = future_to_item[future] + try: + result = future.result() + except Exception: + result = None + + if result is None: + failed.append(item) + else: + results.append(result) + + if completed % 100 == 0: + print(f" {label}: {completed}/{total}") + + if not failed: + return results + + failure_rate = len(failed) / total + if failure_rate > 0.2 and current_workers > 5: + current_workers = max(5, current_workers // 2) + sleep_seconds = min(30, 2 * round_number) + print(f" Retrying {len(failed)} failed {label.lower()} items after {sleep_seconds}s.") + time.sleep(sleep_seconds) + pending = failed + round_number += 1 + + raise RuntimeError(f"{label} failed for {len(pending)} items after {MAX_POOL_ROUNDS} rounds.") + + +def scrape(discovery_workers, fetch_workers): + """Scrape all configured terms and replace the output file on success.""" + subjects, terms = get_subjects_and_terms() + + discovery_items = [(term, subject) for term in terms for subject in subjects] + discovered = run_pool( + discovery_items, + discovery_workers, + lambda item: discover_refs(item[0], item[1]), + "Discovery", + ) + + unique_refs = {} + for refs in discovered: + for ref in refs: + unique_refs[ref["super_crn"]] = ref + + print(f"Discovered {len(unique_refs)} unique section refs.") + rows = run_pool(list(unique_refs.values()), fetch_workers, fetch_instructor, "Instructor fetch") + + unique_rows = {} + for row in rows: + unique_rows[row.split(":", 1)[0]] = row + + OUTPUT_PATH.parent.mkdir(parents=True, exist_ok=True) + tmp_path = OUTPUT_PATH.with_suffix(".txt.tmp") + with open(tmp_path, "w", encoding="utf-8") as f: + for row in sorted(unique_rows.values()): + f.write(row + "\n") + tmp_path.replace(OUTPUT_PATH) + + print(f"Done. Wrote {len(unique_rows)} section instructor entries to {OUTPUT_PATH}.") def main(): - yourCookie = input("Go to the class timetable and click a class, and then copy your SESSID cookie here: ") - with open("../raw-data/superCrnToProfessor.txt", "w") as f: - cookie = {"SESSID": yourCookie} - with requests.Session() as session: - for i, section in enumerate(sections, 1): - cookie["SESSID"] = fetch(session, sections[section]["super_CRN"], f, cookie) - if i % 100 == 0: - print(f"Scraped {i} sections") - f.flush() + import sys + discovery_workers = int(sys.argv[1]) if len(sys.argv) > 1 else DISCOVERY_WORKERS + fetch_workers = int(sys.argv[2]) if len(sys.argv) > 2 else FETCH_WORKERS + scrape(discovery_workers, fetch_workers) if __name__ == "__main__": diff --git a/data/raw-data/newGradeDistribution.csv b/data/raw-data/newGradeDistribution.csv new file mode 100644 index 00000000..2efa95c0 --- /dev/null +++ b/data/raw-data/newGradeDistribution.csv @@ -0,0 +1,5667 @@ +Academic Year,Term,Subject,Course No.,Course Title,Instructor,GPA,A (%),A- (%),B+ (%),B (%),B- (%),C+ (%),C (%),C- (%),D+ (%),D (%),D- (%),F (%),Withdraws,Graded Enrollment,CRN,Credits +"2024-25","Winter","ACIS","1004","Accounting Foundations","Lacoste","3.47","60","10","10","0","0","0","10","10","0","0","0","0","1","10","40126"," 3" +"2024-25","Winter","ACIS","1504","Intro to Bus Analytics & BI","Sharp","3.68","53.8","26.9","7.7","0","3.8","7.7","0","0","0","0","0","0","0","26","40127"," 3" +"2024-25","Winter","ACIS","2115","Principles of Accounting","Lacoste","3.24","50","7.1","3.6","3.6","7.1","7.1","10.7","10.7","0","0","0","0","1","28","40128"," 3" +"2024-25","Winter","ACIS","2116","Principles of Accounting","Martin","3","17.6","11.8","5.9","23.5","20.6","2.9","14.7","0","2.9","0","0","0","0","34","40129"," 3" +"2024-25","Winter","ACIS","3554","Networks, Telecom, & Security","Shen","3.17","50","0","0","16.7","0","16.7","0","16.7","0","0","0","0","0","6","40164"," 3" +"2024-25","Winter","ADV","2134","Intro to Health Communication","Holz","3.49","60","13.3","0","20","0","0","0","0","0","0","0","6.7","1","15","40015"," 3" +"2024-25","Winter","ADV","3024","Ad Ethics & Soc Responsibility","Combs","3.48","20","40","0","40","0","0","0","0","0","0","0","0","0","5","40225"," 3" +"2024-25","Winter","AFST","1714","Intro African American Studies","Seniors","4","100","0","0","0","0","0","0","0","0","0","0","0","0","7","40016"," 3" +"2024-25","Winter","AHRM","1014","Design and Art for Consumers","Walsh","3.54","74.1","7.4","0","0","3.7","7.4","0","0","0","3.7","0","3.7","1","27","40136"," 3" +"2024-25","Winter","APS","1704","Intro to Appalachian Studies","Edmondson","3.73","80","0","0","13.3","0","0","6.7","0","0","0","0","0","0","15","40017"," 3" +"2024-25","Winter","ARCH","1044","Life in the Built Environment","Tew","3.85","92.7","0","2.4","0","2.4","0","0","0","0","0","0","2.4","0","41","40002"," 3" +"2024-25","Winter","ART","1104","Language of Visual 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Entrepreneurship","Reed","3.57","45.5","22.7","9.1","9.1","9.1","0","4.5","0","0","0","0","0","1","22","40125"," 3" +"2025-26","Winter","MGT","2314","Intro International Business","Beleny","3.13","30.8","23.1","15.4","7.7","0","0","7.7","0","0","15.4","0","0","0","13","40137"," 3" +"2025-26","Winter","MGT","2314","Intro International Business","Ko","3.43","57.1","14.3","14.3","0","0","0","0","0","0","14.3","0","0","0","7","40196"," 3" +"2025-26","Winter","MGT","3094","Global Entrepreneurship","Tseng","3.89","77.3","13.3","6.7","2.7","0","0","0","0","0","0","0","0","0","75","40220"," 3" +"2025-26","Winter","MGT","3404","Principles of Management","Deck","2.59","5","10","10","20","10","10","10","20","0","5","0","0","1","20","40129"," 3" +"2025-26","Winter","MGT","3954","SA: Australia and New Zealand","Waters","4","100","0","0","0","0","0","0","0","0","0","0","0","0","17","40134"," 3" +"2025-26","Winter","MGT","3954","SA: Germany & Austria","Deck","4","100","0","0","0","0","0","0","0","0","0","0","0","0","18","40131"," 3" +"2025-26","Winter","MGT","3954","SA: Bus and Culture in Italy","Clevenger","3.83","54.5","36.4","9.1","0","0","0","0","0","0","0","0","0","0","22","40130"," 3" +"2025-26","Winter","MGT","4094","Startup: Commercialization","Poff","3.8","60","24","10.7","4","1.3","0","0","0","0","0","0","0","0","75","40217"," 3" +"2025-26","Winter","MGT","4394","Strategic Management","Slagel","3.57","36.5","22.2","23.8","12.7","3.2","1.6","0","0","0","0","0","0","0","63","40135"," 3" +"2025-26","Winter","MKTG","3104","Marketing Management","Wertalik","3.63","64.4","11.1","2.2","8.9","11.1","0","0","0","0","0","0","2.2","0","45","40050"," 3" +"2025-26","Winter","MKTG","4554","Principles of Prof Selling","Michalisin","3.54","18.8","56.3","6.3","0","18.8","0","0","0","0","0","0","0","0","16","40052"," 3" +"2025-26","Winter","MUS","1005","Theory Fundamentals","Irrera","3.36","37.5","25","18.8","6.3","0","0","6.3","0","0","0","0","6.3","1","16","40054"," 3" +"2025-26","Winter","MUS","1104","Music Appreciation","Wilkens-Reed","3.99","96.3","3.7","0","0","0","0","0","0","0","0","0","0","1","27","40055"," 3" +"2025-26","Winter","NR","3954","SA: Panama","McGee","3.97","91.7","8.3","0","0","0","0","0","0","0","0","0","0","0","12","40208"," 3" +"2025-26","Winter","PHIL","1204","Knowledge and Reality","Patton","3.92","72.7","27.3","0","0","0","0","0","0","0","0","0","0","0","11","40057"," 3" +"2025-26","Winter","PHIL","1304","Morality and Justice","Yaure","3.74","66.7","20","0","0","6.7","6.7","0","0","0","0","0","0","0","15","40104"," 3" +"2025-26","Winter","PHIL","2304","Global Ethics","Fuller","3.7","55.6","11.1","22.2","11.1","0","0","0","0","0","0","0","0","0","9","40103"," 3" +"2025-26","Winter","PHS","1514","Personal Health","Smith","3.81","85.7","7.1","3.6","0","0","0","0","0","0","0","0","3.6","0","28","40058"," 3" +"2025-26","Winter","PHS","2004","Introduction to Public Health","Lewis","3.97","91.7","8.3","0","0","0","0","0","0","0","0","0","0","0","12","40060"," 3" +"2025-26","Winter","PHS","3534","Drug Education","Smith","3.95","89.5","5.3","5.3","0","0","0","0","0","0","0","0","0","0","19","40059"," 3" +"2025-26","Winter","PHYS","2205","General Physics","Papavasiliou","3.71","72.9","10.4","6.3","4.2","0","0","2.1","2.1","0","0","0","2.1","0","48","40061"," 3" +"2025-26","Winter","PHYS","2206","General Physics","Khan","3.98","92.2","7.8","0","0","0","0","0","0","0","0","0","0","0","51","40062"," 3" +"2025-26","Winter","PHYS","2215","General Physics Laboratory","Powers","3.36","55.6","14.8","3.7","7.4","3.7","3.7","0","3.7","0","0","0","7.4","0","27","40063"," 1" +"2025-26","Winter","PHYS","2216","General Physics Laboratory","Powers","3.36","38.1","28.6","0","19","0","4.8","4.8","0","0","0","0","4.8","1","21","40064"," 1" +"2025-26","Winter","PM","3674","Property Management Operations","Hopkins","3.85","50","50","0","0","0","0","0","0","0","0","0","0","0","6","40114"," 3" +"2025-26","Winter","PR","2044","Principles of Public Relations","Deuyour","2.9","0","7.1","21.4","35.7","14.3","14.3","7.1","0","0","0","0","0","0","14","40168"," 3" +"2025-26","Winter","PSCI","1014","US Gov & Politics","Jewitt","2.94","28.6","0","28.6","14.3","0","14.3","0","0","0","0","14.3","0","0","7","40076"," 3" +"2025-26","Winter","PSCI","1024","Comp Gov & Politics","Gill","3.74","55.6","22.2","11.1","11.1","0","0","0","0","0","0","0","0","0","9","40078"," 3" +"2025-26","Winter","PSCI","2014","Intro to Political Theory","Smith","3.04","42.9","0","28.6","0","14.3","0","0","0","0","0","0","14.3","0","7","40077"," 3" +"2025-26","Winter","PSCI","3115","Selected World Problems","Nelson","2.61","0","14.3","28.6","28.6","0","0","14.3","0","0","0","0","14.3","0","7","40086"," 3" +"2025-26","Winter","PSCI","3125","Intelligence & Natl Security","Hodges","3.53","42.9","21.4","7.1","21.4","0","0","7.1","0","0","0","0","0","0","14","40088"," 3" +"2025-26","Winter","PSCI","4624","Wash Semester Seminar","Dull","4","100","0","0","0","0","0","0","0","0","0","0","0","0","20","40210"," 3" +"2025-26","Winter","PSYC","1004","Introductory Psychology","Adams","3.54","51.6","12.9","12.9","6.5","9.7","3.2","0","0","3.2","0","0","0","0","31","40108"," 3" +"2025-26","Winter","PSYC","1094","Prin Psyc Research","Melson-Silimon","3.98","92.3","7.7","0","0","0","0","0","0","0","0","0","0","0","13","40227"," 3" +"2025-26","Winter","PSYC","2034","Developmental Psychology","Kerfoot","3.71","71.4","0","0","28.6","0","0","0","0","0","0","0","0","0","7","40228"," 3" +"2025-26","Winter","PSYC","2044","Psychology of Learning","Shafer","3.47","72.2","0","5.6","0","11.1","0","0","5.6","0","0","0","5.6","0","18","40109"," 3" +"2025-26","Winter","PSYC","2074","Animal Behavior","Hoffman","3.94","87.5","6.3","6.3","0","0","0","0","0","0","0","0","0","0","16","40110"," 3" +"2025-26","Winter","RLCL","1014","World Religions","Bilgic","3.96","87.5","12.5","0","0","0","0","0","0","0","0","0","0","0","16","40065"," 3" +"2025-26","Winter","RLCL","2444","Greek and Roman Myth","Phillips","3.26","40","0","20","20","0","0","20","0","0","0","0","0","0","5","40020"," 3" +"2025-26","Winter","SOC","1004","Introductory Sociology","Brunsma","3.69","64.3","7.1","7.1","14.3","7.1","0","0","0","0","0","0","0","0","14","40068"," 3" +"2025-26","Winter","SOC","2004","Social Problems","Dhillon-Jamerson","3.73","33.3","50","16.7","0","0","0","0","0","0","0","0","0","0","6","40069"," 3" +"2025-26","Winter","SOC","2604","Intro Data in Social Context","Steinhauer","3.94","80","20","0","0","0","0","0","0","0","0","0","0","0","5","40042"," 3" +"2025-26","Winter","SOC","3004","Social Inequality","Presson","4","100","0","0","0","0","0","0","0","0","0","0","0","0","11","40070"," 3" +"2025-26","Winter","SOC","3714","Sociology of Aging","Diaz","4","100","0","0","0","0","0","0","0","0","0","0","0","0","6","40071"," 3" +"2025-26","Winter","SOC","4454","TS: Violence and Mental Illnes","Vogt Yuan","3.22","33.3","16.7","33.3","0","0","0","0","0","0","16.7","0","0","0","6","40072"," 3" +"2025-26","Winter","SPAN","3554","Teaching Spanish","Venkatesh","3.84","75","12.5","0","12.5","0","0","0","0","0","0","0","0","0","8","40066"," 3" +"2025-26","Winter","SPAN","3954","SA: Study Abroad in Costa Rica","Sobrado","4","100","0","0","0","0","0","0","0","0","0","0","0","0","16","40067"," 3" +"2025-26","Winter","SPES","2004","Cannabis Sci Ind & Culture","Niemiera","3.96","92.5","5","0","2.5","0","0","0","0","0","0","0","0","0","40","40182"," 3" +"2025-26","Winter","SPES","3954","SA: Ecuador","Eick","3.91","92.9","0","0","0","7.1","0","0","0","0","0","0","0","0","14","40183"," 3" +"2025-26","Winter","SPIA","4454","Future of Cities","Tirpak","3.82","62.5","25","6.3","6.3","0","0","0","0","0","0","0","0","0","16","40207"," 3" +"2025-26","Winter","STAT","3615","Biological Statistics","Hanlon","3.47","44.8","34.5","3.4","3.4","6.9","0","0","0","0","0","0","6.9","2","29","40184"," 3" diff --git a/data/raw-data/superCrnToProfessor.txt b/data/raw-data/superCrnToProfessor.txt new file mode 100644 index 00000000..ee46d46c --- /dev/null +++ b/data/raw-data/superCrnToProfessor.txt @@ -0,0 +1,34648 @@ +2024;12;40002:Tew, Gregory +2024;12;40003:Jewitt, James R. +2024;12;40004:Spaar, Renee L. +2024;12;40005:Moseley Christian, Michelle Y. +2024;12;40006:Yates, Joshua L. +2024;12;40009:Tew, Gregory +2024;12;40010:Irrera, John +2024;12;40011:Wilkens-Reed, Molly +2024;12;40012:Tirpak, Mark A. +2024;12;40014:Tew, Gregory +2024;12;40015:Holz, Adrienne +2024;12;40016:Seniors, Paula +2024;12;40017:Edmondson, Taulby +2024;12;40018:Edmondson, Taulby +2024;12;40019:Lipscomb, Mary V. +2024;12;40020:Hogan, Eric P. +2024;12;40021:Watkinson, Jonathan I. +2024;12;40022:Seyler, Richard W. +2024;12;40023:Sheppard, Roger F. +2024;12;40024:Sheppard, Roger F. +2024;12;40025:Abrahams, Alan S. +2024;12;40027:Phillips, Richard L. +2024;12;40028:Deuyour, Hannah S. +2024;12;40030:Kuypers, Jim A. +2024;12;40031:Sowder, Nathan +2024;12;40032:Thomas, Cathryn O. +2024;12;40033:Conner, Dorothy S. +2024;12;40034:Quesenberry, Brandi +2024;12;40035:Callaghan, Caitlin G. +2024;12;40036:Woods, Chelsea L. +2024;12;40037:Widgeon, Angela A. +2024;12;40038:Myers, Marcus C. +2024;12;40039:Branum, Elissa +2024;12;40040:Branum, Elissa +2024;12;40041:Baker, Hannah +2024;12;40042:Hobin, Andrew J. +2024;12;40043:Conaway, Sean R. +2024;12;40044:Zan, Jenna D. +2024;12;40046:Kinder, Alice F. +2024;12;40047:Rabbi, Shakil +2024;12;40048:Passwater, Thomas W. +2024;12;40049:Brown, Nicholas A. +2024;12;40050:Smith, Stephanie A. +2024;12;40051:Toman, Madelyn M. +2024;12;40052:Minor, Kelly A. +2024;12;40053:McKagen, Elizabeth L. +2024;12;40054:Steinhauer, Hannah L. +2024;12;40055:Steinhauer, Hannah L. +2024;12;40056:Steinhauer, Hannah L. +2024;12;40059:Douglas, Sarah K. +2024;12;40060:Eaton, Renee S. +2024;12;40061:Harden, Samantha M. +2024;12;40062:Harden, Samantha M. +2024;12;40063:Nelson, Stephanie H. +2024;12;40064:N/A +2024;12;40065:Sguerri, Michael +2024;12;40066:Watkins, Brandi A. +2024;12;40067:Wertalik, Donna +2024;12;40068:Matuszak, Steve C. +2024;12;40069:Michalisin, Mark W. +2024;12;40070:Reilly, Thomas W. +2024;12;40071:McGee, John A. +2024;12;40072:Patton, Lydia K. +2024;12;40074:D'amato, Claudio +2024;12;40075:Fuller, Timothy J. +2024;12;40076:Redican, Kerry J. +2024;12;40077:Redican, Kerry J. +2024;12;40078:Redican, Kerry J. +2024;12;40079:Lin, Fei +2024;12;40080:Papavasiliou, Kriton +2024;12;40081:Powers, Dylan G. +2024;12;40082:Powers, Dylan G. +2024;12;40083:Deuyour, Hannah S. +2024;12;40084:Jewitt, Caitlin E. +2024;12;40085:Thomas, Courtney I. +2024;12;40086:Gignoux, Hannah R. +2024;12;40088:Hodges, Robert +2024;12;40089:Bhamidipati, Gopi K. +2024;12;40093:Brunsma, David L. +2024;12;40096:Perdue, Robert T. +2024;12;40097:King, Neal M. +2024;12;40098:King, Neal M. +2024;12;40099:Vogt Yuan, Anastasia S. +2024;12;40100:Vogt Yuan, Anastasia S. +2024;12;40102:McDonald, Maretta +2024;12;40103:Zare, Bonnie +2024;12;40104:Zare, Bonnie +2024;12;40105:Nguyen, Lois X. +2024;12;40108:Zhumadilova, Kulash +2024;12;40109:Diaz, Selene i. +2024;12;40110:Shajahan, Muhammed Shah +2024;12;40111:Phillips, Richard L. +2024;12;40112:Phillips, Richard L. +2024;12;40113:Thomas, Courtney I. +2024;12;40114:Thomas, Courtney I. +2024;12;40115:Gignoux, Hannah R. +2024;12;40116:Gignoux, Hannah R. +2024;12;40118:Hodges, Robert +2024;12;40119:Bhamidipati, Gopi K. +2024;12;40120:Welfare, Laura E. +2024;12;40122:Jones, Brett D. +2024;12;40123:Cana Jimenez, Maria D. +2024;12;40124:Jenkins, Dale M. +2024;12;40125:Jenkins, Dale M. +2024;12;40126:Lacoste, Jean M. +2024;12;40127:Sharp, Jason P. +2024;12;40128:Lacoste, Jean M. +2024;12;40129:Martin, Eric A. +2024;12;40130:N/A +2024;12;40131:N/A +2024;12;40133:Kern, James D. +2024;12;40134:Hodsden, Laura M. +2024;12;40135:Wiscomb, Avery +2024;12;40136:Walsh, Renee K. +2024;12;40138:Cheng, Guopeng +2024;12;40139:Hopkins, Erin +2024;12;40141:Reed, Alfred J. +2024;12;40142:Raschke, Laura T. +2024;12;40143:Raschke, Laura T. +2024;12;40144:Beleny, Ashley L. +2024;12;40145:Deck, Margaret E. +2024;12;40146:Slagel, Koehler +2024;12;40147:Deck, Margaret E. +2024;12;40148:Jamison, Elizabeth C. +2024;12;40149:Eick, Matthew J. +2024;12;40150:Eick, Matthew J. +2024;12;40151:Niemiera, Alexander X. +2024;12;40152:Kardos, Joshua H. +2024;12;40153:Sobrado, Alejandra B. +2024;12;40154:Wenskovitch, John E. +2024;12;40155:Johnson, Paige W. +2024;12;40156:Dunlap, Daniel +2024;12;40157:Zare, Bonnie +2024;12;40159:Nottingham, Quinton J. +2024;12;40160:Deane, Jason K. +2024;12;40162:Zahadat, Nima +2024;12;40163:Shen, Wenqi +2024;12;40164:Shen, Wenqi 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