├── .freebase_api_key ├── join.csv ├── union.csv ├── a-vs-b.csv ├── requirements.txt ├── ipeds-2012.csv ├── new-colleges.csv ├── output-final.csv ├── master-matching.csv ├── master-with-sat.csv ├── union-freebase.csv ├── hd2012_data_stata.csv ├── master-matching0.csv ├── master-matching2.csv ├── datasets ├── debt-sorted.csv ├── ipeds_data_for_production_database.csv └── ipeds_data_dictionary.html ├── freebase-colleges-iped.csv ├── master-with-sat-debt-and-default.csv ├── union-freebase-with-name-conflicts.csv ├── union-freebase-with-name-conflicts-sorted.csv ├── debug-names.py ├── find-valid-ipeds.py ├── freebase-try.py ├── name-conflicts.py ├── us_news_script.rb ├── scraper.py ├── match-colleges-jesse.py ├── stats.txt ├── count-links.py ├── master-with-sat.py ├── data-diff-accred.py ├── diff-output ├── ipeds-vs-freebase.txt ├── ipeds-vs-debt.txt ├── ipeds-vs-accred.txt ├── debt-vs-ipeds.txt ├── debt-vs-freebase.txt ├── accred-vs-freebase.txt └── freebase-vs-accred.txt ├── join-accred-ipeds-freebase.py ├── append-debt-and-default.py ├── data-differences.py ├── join-accred-with-ipeds.py ├── match-list-a-list-b.py ├── master-script.py ├── README.md ├── accred-not-found.csv └── us_news_parsed_2.csv /.freebase_api_key: -------------------------------------------------------------------------------- 1 | AIzaSyDGQN-kGuMZcKb_d1__igJhDNh8anxXsWM -------------------------------------------------------------------------------- /join.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/join.csv -------------------------------------------------------------------------------- /union.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/union.csv -------------------------------------------------------------------------------- /a-vs-b.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/a-vs-b.csv -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | csv 2 | json 3 | urllib 4 | math 5 | fuzzywuzzy 6 | BeautifulSoup4 -------------------------------------------------------------------------------- /ipeds-2012.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/ipeds-2012.csv -------------------------------------------------------------------------------- /new-colleges.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/new-colleges.csv -------------------------------------------------------------------------------- /output-final.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/output-final.csv -------------------------------------------------------------------------------- /master-matching.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/master-matching.csv -------------------------------------------------------------------------------- /master-with-sat.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/master-with-sat.csv -------------------------------------------------------------------------------- /union-freebase.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/union-freebase.csv -------------------------------------------------------------------------------- /hd2012_data_stata.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/hd2012_data_stata.csv -------------------------------------------------------------------------------- /master-matching0.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/master-matching0.csv -------------------------------------------------------------------------------- /master-matching2.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/master-matching2.csv -------------------------------------------------------------------------------- /datasets/debt-sorted.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/datasets/debt-sorted.csv -------------------------------------------------------------------------------- /freebase-colleges-iped.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/freebase-colleges-iped.csv -------------------------------------------------------------------------------- /master-with-sat-debt-and-default.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/master-with-sat-debt-and-default.csv -------------------------------------------------------------------------------- /union-freebase-with-name-conflicts.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/union-freebase-with-name-conflicts.csv -------------------------------------------------------------------------------- /datasets/ipeds_data_for_production_database.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/datasets/ipeds_data_for_production_database.csv -------------------------------------------------------------------------------- /union-freebase-with-name-conflicts-sorted.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/huyouare/freebase-ipeds/HEAD/union-freebase-with-name-conflicts-sorted.csv -------------------------------------------------------------------------------- /debug-names.py: -------------------------------------------------------------------------------- 1 | import csv 2 | 3 | from fuzzywuzzy import fuzz 4 | 5 | outfile = open('output-debug-with-ratios', 'w') 6 | writer = csv.writer(outfile) 7 | 8 | with open('output-debug.tsv', 'rb') as f: 9 | reader = csv.reader(f, delimiter='\t') 10 | first_row = next(reader) 11 | first_row.append("fuzzywuzzy ratio") 12 | writer.write(first_row) 13 | for row in reader: 14 | ratio = fuzz.partial_ratio(row[3], row[4]) 15 | row.append(ratio) 16 | writer.write(row) 17 | -------------------------------------------------------------------------------- /find-valid-ipeds.py: -------------------------------------------------------------------------------- 1 | from __future__ import division 2 | from bs4 import BeautifulSoup 3 | import urllib2 4 | import csv 5 | 6 | f = open('valid-ipeds.txt', 'w') 7 | count = 0 8 | total = 0 9 | 10 | for x in range(999999): 11 | link = 'http://nces.ed.gov/collegenavigator/?id=' + str(x) 12 | response = urllib2.urlopen(link).read() 13 | soup = BeautifulSoup(response) 14 | print soup.title.string 15 | noresults = soup.find(class_='noresults') 16 | 17 | if noresults: 18 | f.write(str(x) + '\n') 19 | else: 20 | total = total + 1 21 | 22 | print total 23 | -------------------------------------------------------------------------------- /freebase-try.py: -------------------------------------------------------------------------------- 1 | import json 2 | import urllib 3 | 4 | api_key = open(".freebase_api_key").read() 5 | service_url = 'https://www.googleapis.com/freebase/v1/mqlread' 6 | query = [{ 7 | "type": "/type/namespace", 8 | "id": "/authority/nces/ipeds", 9 | "key": [{}], 10 | "keys": [{}] 11 | }] 12 | params = { 13 | 'query': json.dumps(query), 14 | 'key': api_key 15 | } 16 | url = service_url + '?query=' + params['query'] + '&cursor' 17 | print url 18 | response = json.loads(urllib.urlopen(url).read()) 19 | result = response['result'] 20 | for key in result[0]['keys']: 21 | print key 22 | print len(result[0]['keys']) 23 | print response -------------------------------------------------------------------------------- /name-conflicts.py: -------------------------------------------------------------------------------- 1 | import csv 2 | 3 | from fuzzywuzzy import fuzz 4 | 5 | outfile = open('union-freebase-with-name-conflicts.csv', 'w') 6 | writer = csv.writer(outfile) 7 | 8 | with open('union-freebase.csv', 'rU') as f: 9 | reader = csv.reader(f) 10 | first_row = next(reader) 11 | new_first_row = ['fuzzy matching score'] + first_row 12 | writer.writerow(new_first_row) 13 | 14 | for row in reader: 15 | ratios = set() 16 | if row[1]!='' and row[3]!='': 17 | ratios.add(fuzz.token_sort_ratio(row[1], row[3])) 18 | if row[3]!='' and row[5]!='': 19 | ratios.add(fuzz.token_sort_ratio(row[3], row[5])) 20 | if row[1]!='' and row[5]!='': 21 | ratios.add(fuzz.token_sort_ratio(row[1], row[5])) 22 | if len(ratios) > 0: 23 | summ = 0 24 | for x in ratios: 25 | summ = summ + x 26 | ratio = summ / len(ratios) 27 | else: 28 | ratio = 0 29 | writer.writerow([ratio] + row) 30 | -------------------------------------------------------------------------------- /us_news_script.rb: -------------------------------------------------------------------------------- 1 | require 'csv' 2 | 3 | rows = CSV.read('us_news_scrape.csv', :encoding => 'windows-1251:utf-8') 4 | 5 | CSV.open("us_news_parsed.csv", "wb") do |outfile| 6 | outfile << ["College name", "US News Key", "Rank", "Catgory", "Acceptance rate", "High school GPA", "SAT 75th Percentile", "ACT 75th Percentile"] 7 | 8 | rows.each_with_index do |row, i| 9 | next if i == 0 10 | name = row[0] 11 | key = row[1].match("%22\/best-colleges\/(.*)\\\\%22")[1].to_s 12 | rank = row[2].split(',')[0].split('#')[1].to_i if row[2] =~ /\d/ 13 | category = row[2].split(', ')[1] 14 | acceptance = row[3].split('%')[0] if row[3] =~ /\d/ 15 | gpa = row[4] if row[4] =~ /\d/ 16 | sat_75th_percentile = row[5].split('/')[0].to_i if row[5] =~ /\d/ 17 | act_75th_percentile = row[5].split('/')[1].to_i if row[5] =~ /\d/ 18 | outfile << [name, key, rank, category, acceptance, gpa, sat_75th_percentile, act_75th_percentile] 19 | end 20 | end -------------------------------------------------------------------------------- /scraper.py: -------------------------------------------------------------------------------- 1 | from bs4 import BeautifulSoup 2 | import csv 3 | 4 | f = open('ipeds-full.html', 'r') 5 | soup = BeautifulSoup(f) 6 | rows = soup.find_all(class_='data-row') 7 | print len(rows) 8 | # print(row.find(class_='wrapper').text) 9 | # for row in rows: 10 | # print row.find(class_='mid key-value').string 11 | # print row.find(class_='property-value key-namespace').string 12 | # print row.find(class_='name').string 13 | # print row.find(class_='date').string 14 | 15 | with open('eggs.csv', 'wb') as csvfile: 16 | writer = csv.writer(csvfile) 17 | writer.writerow(['key', 'freebase ID', 'name', 'date']) 18 | for row in rows: 19 | key = row.find(class_='mid key-value').string 20 | freebase = row.find(class_='property-value key-namespace').string 21 | name = row.find(class_='name').string 22 | date = row.find(class_='date').string 23 | writer.writerow([key.encode('utf8'), freebase.encode('utf8'), name.encode('utf8'), date.encode('utf8')]) -------------------------------------------------------------------------------- /match-colleges-jesse.py: -------------------------------------------------------------------------------- 1 | import csv 2 | from fuzzywuzzy import fuzz 3 | from fuzzywuzzy import process 4 | 5 | # Freebase 6 | freebase_names = set() 7 | freebase_dict = dict() 8 | 9 | with open('freebase-colleges-iped.csv', 'r') as csvfile: 10 | reader = csv.reader(csvfile) 11 | next(reader, None) # Ignore headers 12 | for row in reader: 13 | freebase_names.add(row[2].decode('utf-8')) 14 | freebase_dict[row[2].decode('utf-8')] = row[0] 15 | 16 | count = 0 17 | names_list = list(freebase_names) 18 | choices = names_list 19 | 20 | with open('./college_data/colleges_for_jesse.tsv', 'rb') as f: 21 | reader = csv.reader(f, delimiter='\t') 22 | next(reader) 23 | for row in reader: 24 | if row[1] in freebase_names: 25 | print "IN: " + row[1] 26 | count = count + 1 27 | else: 28 | print "OUT: " + row[1].decode('utf-8') 29 | estimate = process.extract(row[1], choices) 30 | print "Estimate: " + str(estimate) 31 | print count -------------------------------------------------------------------------------- /stats.txt: -------------------------------------------------------------------------------- 1 | SELECT COUNT(*) FROM "colleges" WHERE (median_sat_score IS NOT NULL OR sat_reading_25th_percentile IS NOT NULL OR act_composite_25th_percentile IS NOT NULL) 2 | => 2063 3 | 4 | 2.1.2 :002 > College.where("university_id IS NOT NULL").count 5 | (3.5ms) SELECT COUNT(*) FROM "colleges" WHERE (university_id IS NOT NULL) 6 | => 1810 7 | 2.1.2 :003 > College.where("graduation_rate IS NOT NULL").count 8 | (16.0ms) SELECT COUNT(*) FROM "colleges" WHERE (graduation_rate IS NOT NULL) 9 | => 6489 10 | 2.1.2 :004 > College.where("retention_rate IS NOT NULL").count 11 | (5.6ms) SELECT COUNT(*) FROM "colleges" WHERE (retention_rate IS NOT NULL) 12 | => 6067 13 | 2.1.2 :005 > College.where("median_sat_score IS NOT NULL").count 14 | (9.9ms) SELECT COUNT(*) FROM "colleges" WHERE (median_sat_score IS NOT NULL) 15 | => 1735 16 | 17 | SELECT COUNT(*) FROM "colleges" WHERE (average_debt IS NOT NULL) 18 | => 1159 19 | SELECT COUNT(*) FROM "colleges" WHERE (default_rate IS NOT NULL) 20 | => 5121 -------------------------------------------------------------------------------- /count-links.py: -------------------------------------------------------------------------------- 1 | from __future__ import division 2 | from bs4 import BeautifulSoup 3 | import urllib2 4 | import csv 5 | 6 | # f = open('links.txt', 'r') 7 | # content = f.readlines() 8 | 9 | f = open('./diff-output/accred-vs-ipeds-with-names.csv', 'r') 10 | reader = csv.reader(f) 11 | next(reader) 12 | 13 | outfile = open('accred-not-found.csv', 'w') 14 | writer = csv.writer(outfile) 15 | writer.writerow(['IPEDS ID', 'School Name', 'OPE ID']) 16 | 17 | count = 0 18 | total = 0 19 | 20 | for row in reader: 21 | link = 'http://nces.ed.gov/collegenavigator/?id=' + str(row[0]) 22 | 23 | print link 24 | response = urllib2.urlopen(link).read() 25 | soup = BeautifulSoup(response) 26 | print soup.title.string 27 | noresults = soup.find(class_='noresults') 28 | 29 | if noresults: 30 | writer.writerow(row) 31 | count = count + 1 32 | total = total + 1 33 | else: 34 | total = total + 1 35 | 36 | print count 37 | print total 38 | 39 | print 'Count: ' + str(count) 40 | print 'Total: ' + str(total) 41 | print 'Ratio: ' + str(count / total) -------------------------------------------------------------------------------- /master-with-sat.py: -------------------------------------------------------------------------------- 1 | import csv 2 | 3 | # IPEDS 2012 4 | ipeds_colleges = set() 5 | ipeds_dict = dict() 6 | 7 | with open('ipeds-2012.csv', 'rU') as csvfile: 8 | reader = csv.reader(csvfile) 9 | next(reader, None) 10 | for row in reader: 11 | ipeds_colleges.add(int(row[0])) 12 | ipeds_dict[int(row[0])] = row[5:] 13 | 14 | outfile = open('master-with-sat.csv', 'w') 15 | writer = csv.writer(outfile) 16 | 17 | empty_row = [''] * 12 18 | 19 | # vs master-matching 20 | with open('master-matching.csv', 'rU') as csvfile: 21 | reader = csv.reader(csvfile) 22 | row = next(reader) 23 | writer.writerow( row + ['Percent Submitting SAT', 'Percent Submitting ACT', 'SAT CR 25th', 'SAT CR 75th', 'SAT M 25th', 'SAT M 75th', 'SAT W 25th', 'SAT W 75th', 'ACT Composite 25th', 'ACT Composite 75th', 'Graduation Rate', 'Retention Rate']) 24 | for row in reader: 25 | new_row = row 26 | if (row[0] != '') and (int(row[0]) in ipeds_colleges): 27 | new_row = new_row + ipeds_dict[int(row[0])] 28 | else: 29 | new_row = new_row + empty_row 30 | writer.writerow(new_row) -------------------------------------------------------------------------------- /data-diff-accred.py: -------------------------------------------------------------------------------- 1 | import csv 2 | 3 | # Freebase 4 | ipeds_colleges = set() 5 | 6 | with open('./datasets/ipeds_data_for_production_database.csv', 'rU') as csvfile: 7 | reader = csv.reader(csvfile) 8 | next(reader, None) 9 | for row in reader: 10 | ipeds_colleges.add(row[0]) 11 | 12 | # vs accred 13 | accred_colleges = set() 14 | accred_rows = dict() 15 | 16 | with open('accredidation-ipeds.csv', 'rU') as csvfile: 17 | reader = csv.reader(csvfile) 18 | for row in reader: 19 | accred_colleges.add(row[8]) 20 | accred_rows[row[8]] = row 21 | 22 | print len(ipeds_colleges) 23 | print len(accred_colleges) 24 | 25 | outfile = open('./diff-output/ipeds-vs-accred.txt', 'w') 26 | 27 | diff = ipeds_colleges - accred_colleges 28 | diff = list(diff) 29 | diff.sort() 30 | for x in diff: 31 | outfile.write( x + '\n' ) 32 | 33 | outfile = open('./diff-output/accred-vs-ipeds-with-names.txt', 'w') 34 | writer = csv.writer(outfile) 35 | 36 | diff = accred_colleges - ipeds_colleges 37 | diff = list(diff) 38 | diff.sort() 39 | writer.writerow(['IPEDS ID', 'School Name', 'OPE ID']) 40 | for x in diff: 41 | row = accred_rows[x] 42 | writer.writerow( [x, row[1], row[7]] ) -------------------------------------------------------------------------------- /diff-output/ipeds-vs-freebase.txt: -------------------------------------------------------------------------------- 1 | 125037 2 | 146384 3 | 164368 4 | 216348 5 | 238573 6 | 262165 7 | 366702 8 | 366757 9 | 419536 10 | 420972 11 | 436377 12 | 437097 13 | 437343 14 | 437361 15 | 440572 16 | 440581 17 | 441159 18 | 443599 19 | 443988 20 | 460729 21 | 460738 22 | 460783 23 | 460871 24 | 460899 25 | 460941 26 | 461005 27 | 461023 28 | 461032 29 | 461069 30 | 461120 31 | 461139 32 | 461148 33 | 461236 34 | 461281 35 | 461485 36 | 461528 37 | 461643 38 | 461759 39 | 461795 40 | 461847 41 | 461883 42 | 462044 43 | 462080 44 | 462099 45 | 462105 46 | 462114 47 | 462123 48 | 462132 49 | 462141 50 | 462150 51 | 462169 52 | 462178 53 | 462187 54 | 462196 55 | 462202 56 | 462211 57 | 462220 58 | 462239 59 | 462354 60 | 462363 61 | 462372 62 | 462390 63 | 462406 64 | 465812 65 | 466152 66 | 466161 67 | 466170 68 | 466189 69 | 466514 70 | 466921 71 | 466930 72 | 467058 73 | 467793 74 | 468006 75 | 468015 76 | 468024 77 | 470092 78 | 470162 79 | 470852 80 | 470861 81 | 470870 82 | 470889 83 | 470898 84 | 470904 85 | 474702 86 | 474863 87 | 474890 88 | 474906 89 | 474951 90 | 474960 91 | 474979 92 | 475033 93 | 475121 94 | 475185 95 | 475200 96 | 475228 97 | 475237 98 | 475273 99 | 475291 100 | 475370 101 | 475495 102 | 475510 103 | 475608 104 | 475617 105 | 475635 106 | 475699 107 | 475732 108 | 475741 109 | 475787 110 | 475866 111 | 475875 112 | 475884 113 | 476072 114 | 476319 115 | 476382 116 | 476601 117 | 476692 118 | 476717 119 | 476975 120 | 477011 121 | 477020 122 | 477039 123 | 477950 124 | 477996 125 | 478005 126 | 478014 127 | 479567 128 | 479576 129 | 479585 130 | 479594 131 | 479600 132 | 479619 133 | 479628 134 | 479637 135 | 479646 136 | 479655 137 | 479770 138 | 479956 139 | 480064 140 | 480073 141 | 480082 142 | 480091 143 | 480116 144 | 480134 145 | 480143 146 | 480198 147 | 480204 148 | 480301 149 | 480444 150 | 480499 151 | 480569 152 | -------------------------------------------------------------------------------- /join-accred-ipeds-freebase.py: -------------------------------------------------------------------------------- 1 | # 2 | import csv 3 | 4 | freebase_id_dict = dict() 5 | freebase_name_dict = dict() 6 | 7 | freebase_colleges = set() 8 | with open('freebase-colleges-iped.csv', 'rU') as csvfile: 9 | reader = csv.reader(csvfile) 10 | next(reader) 11 | for row in reader: 12 | freebase_colleges.add(row[0]) 13 | freebase_id_dict[row[0]] = row[1] 14 | freebase_name_dict[row[0]] = row[2] 15 | 16 | union_dict = dict() 17 | 18 | union_colleges = set() 19 | with open('union.csv', 'rU') as csvfile: 20 | reader = csv.reader(csvfile) 21 | next(reader, None) 22 | for row in reader: 23 | union_colleges.add(row[0]) 24 | union_dict[row[0]] = row 25 | 26 | intersect = union_colleges.intersection(freebase_colleges) 27 | union_diff = union_colleges - freebase_colleges 28 | freebase_diff = freebase_colleges - union_colleges 29 | 30 | # outfile = open('union-freebase.csv', 'w') 31 | # union_writer = csv.writer(outfile) 32 | 33 | # outfile = open('links.html', 'w') 34 | # outfile2 = open('links.txt', 'w') 35 | 36 | with open('union-freebase.csv', 'wb') as csvfile: 37 | writer = csv.writer(csvfile) 38 | writer.writerow(['IPEDS', 'ipeds_name', 'doe_id', 'doe_name', 'freebase_id', 'freebase_name'] + ['DRVIC2012.Percent admitted - total', 'DRVGR2012.Graduation rate - bachelor\'s degree within 6 years, total', 'IC2012.SAT Critical Reading 25th percentile score', 'IC2012.SAT Critical Reading 75th percentile score', 'IC2012.SAT Math 25th percentile score', 'IC2012.SAT Math 75th percentile score', 'IC2012.SAT Writing 25th percentile score', 'IC2012.SAT Writing 75th percentile score']) 39 | 40 | for x in intersect: 41 | writer.writerow([ x, union_dict[x][1], union_dict[x][2], union_dict[x][3], freebase_id_dict[x], freebase_name_dict[x] ] + union_dict[x][4:]) 42 | for x in union_diff: 43 | writer.writerow([ x, union_dict[x][1], union_dict[x][2], union_dict[x][3], '', '' ] + union_dict[x][4:]) 44 | for x in freebase_diff: 45 | writer.writerow([ x, '', '', '', freebase_id_dict[x], freebase_name_dict[x] ]) -------------------------------------------------------------------------------- /append-debt-and-default.py: -------------------------------------------------------------------------------- 1 | import csv 2 | 3 | # IPEDS 2012 4 | test_scores = set() 5 | 6 | with open('ipeds-2012.csv', 'rU') as csvfile: 7 | reader = csv.reader(csvfile) 8 | next(reader, None) 9 | for row in reader: 10 | if row[4] == "Required": 11 | test_scores.add(int(row[0])) 12 | 13 | outfile = open('master-with-sat-debt-and-default.csv', 'w') 14 | writer = csv.writer(outfile) 15 | 16 | # Append debt rates with IPEDS 17 | debt_ipeds = set() 18 | debt_ipeds_dict = dict() 19 | 20 | with open('debt.csv', 'rU') as csvfile: 21 | reader = csv.reader(csvfile) 22 | next(reader, None) 23 | for row in reader: 24 | if row[2] != "N/A": 25 | debt_ipeds.add(int(row[3])) 26 | debt_ipeds_dict[int(row[3])] = row # 2 27 | 28 | # Append default rates with OPEID 29 | default_opeid = set() 30 | default_opeid_dict = dict() 31 | 32 | with open('default_rates.csv', 'rU') as csvfile: 33 | reader = csv.reader(csvfile) 34 | next(reader, None) 35 | for row in reader: 36 | default_opeid.add(int(row[0] + '00')) 37 | default_opeid_dict[int(row[0] + '00')] = row # 11 and 12 38 | 39 | with open('master-with-sat.csv', 'rU') as csvfile: 40 | reader = csv.reader(csvfile) 41 | row = next(reader) 42 | writer.writerow( row[0:6] + ['Test Scores Required'] + row[6:] + ['Avg Debt of Graduates', 'NBD 1', 'NBR 1', 'DRATE'] ) 43 | for row in reader: 44 | new_row = row 45 | if (int(row[0]) in test_scores): 46 | new_row = new_row[0:6] + ['YES'] + new_row[6:] 47 | else: 48 | new_row = new_row[0:6] + ['NO'] + new_row[6:] 49 | if (int(row[0]) in debt_ipeds): 50 | new_row = new_row + [debt_ipeds_dict[int(row[0])][2]] 51 | else: 52 | new_row = new_row + [''] 53 | if row[4] and (row[4] != '') and (row[4].isdigit()) and (int(row[4]) in default_opeid): 54 | new_row = new_row + [default_opeid_dict[int(row[4])][11], default_opeid_dict[int(row[4])][12]] 55 | if (default_opeid_dict[int(row[4])][11] == '0.00' and default_opeid_dict[int(row[4])][12] == '0.00'): 56 | new_row = new_row + [''] 57 | else: 58 | new_row = new_row + [default_opeid_dict[int(row[4])][13]] 59 | else: 60 | new_row = new_row + ['']*3 61 | 62 | writer.writerow(new_row) -------------------------------------------------------------------------------- /data-differences.py: -------------------------------------------------------------------------------- 1 | import csv 2 | 3 | # Freebase 4 | freebase_colleges = set() 5 | 6 | with open('freebase-colleges-iped.csv', 'rU') as csvfile: 7 | reader = csv.reader(csvfile) 8 | next(reader, None) 9 | for row in reader: 10 | freebase_colleges.add(row[0]) 11 | 12 | # vs debt 13 | debt_colleges = set() 14 | 15 | with open('./datasets/debt-sorted.csv', 'rU') as csvfile: 16 | reader = csv.reader(csvfile) 17 | next(reader, None) 18 | for row in reader: 19 | debt_colleges.add(row[3]) 20 | 21 | print len(freebase_colleges) 22 | print len(debt_colleges) 23 | 24 | outfile = open('./diff-output/freebase-vs-debt.txt', 'w') 25 | 26 | diff = freebase_colleges - debt_colleges 27 | diff = list(diff) 28 | diff.sort() 29 | for x in diff: 30 | outfile.write( x + '\n' ) 31 | 32 | outfile = open('./diff-output/debt-vs-freebase.txt', 'w') 33 | 34 | diff = debt_colleges - freebase_colleges 35 | diff = list(diff) 36 | diff.sort() 37 | for x in diff: 38 | outfile.write( x + '\n' ) 39 | 40 | # vs ipeds 41 | ipeds_colleges = set() 42 | 43 | with open('./datasets/ipeds_data_for_production_database.csv', 'r') as csvfile: 44 | reader = csv.reader(csvfile) 45 | next(reader, None) 46 | for row in reader: 47 | ipeds_colleges.add(row[0]) 48 | 49 | print len(freebase_colleges) 50 | print len(ipeds_colleges) 51 | 52 | outfile = open('./diff-output/freebase-vs-ipeds.txt', 'w') 53 | 54 | diff = freebase_colleges - ipeds_colleges 55 | diff = list(diff) 56 | diff.sort() 57 | for x in diff: 58 | outfile.write( x + '\n' ) 59 | 60 | outfile = open('./diff-output/ipeds-vs-freebase.txt', 'w') 61 | 62 | diff = ipeds_colleges - freebase_colleges 63 | diff = list(diff) 64 | diff.sort() 65 | for x in diff: 66 | outfile.write( x + '\n' ) 67 | 68 | # Debt vs ipeds 69 | 70 | outfile = open('./diff-output/debt-vs-ipeds.txt', 'w') 71 | 72 | diff = debt_colleges - ipeds_colleges 73 | diff = list(diff) 74 | diff.sort() 75 | for x in diff: 76 | outfile.write( x + '\n' ) 77 | 78 | # Ipeds vs debt 79 | 80 | outfile = open('./diff-output/ipeds-vs-debt.txt', 'w') 81 | 82 | diff = ipeds_colleges - debt_colleges 83 | diff = list(diff) 84 | diff.sort() 85 | for x in diff: 86 | outfile.write( x + '\n' ) 87 | 88 | # colleges-for-jesse 89 | colleges_jesse = set() -------------------------------------------------------------------------------- /diff-output/ipeds-vs-debt.txt: -------------------------------------------------------------------------------- 1 | 100733 2 | 101675 3 | 103529 4 | 108056 5 | 110501 6 | 118693 7 | 118888 8 | 124557 9 | 127565 10 | 128300 11 | 130448 12 | 135160 13 | 135188 14 | 135717 15 | 137315 16 | 138901 17 | 139621 18 | 140447 19 | 140483 20 | 140997 21 | 141963 22 | 143853 23 | 144777 24 | 147031 25 | 147129 26 | 147165 27 | 147244 28 | 149240 29 | 149587 30 | 151485 31 | 151962 32 | 153977 33 | 155511 34 | 155520 35 | 157359 36 | 157377 37 | 159638 38 | 160533 39 | 161280 40 | 164146 41 | 166665 42 | 166850 43 | 169220 44 | 169628 45 | 171100 46 | 171128 47 | 174020 48 | 174127 49 | 174279 50 | 175980 51 | 175999 52 | 178208 53 | 178439 54 | 181330 55 | 181747 56 | 182519 57 | 183327 58 | 188517 59 | 189565 60 | 190035 61 | 190114 62 | 191597 63 | 192457 64 | 192925 65 | 193016 66 | 193052 67 | 193061 68 | 193070 69 | 195827 70 | 198950 71 | 198969 72 | 198978 73 | 199175 74 | 199458 75 | 200244 76 | 202912 77 | 203960 78 | 203997 79 | 204006 80 | 204015 81 | 204024 82 | 204316 83 | 205179 84 | 205610 85 | 205647 86 | 209445 87 | 213987 88 | 213996 89 | 214041 90 | 214661 91 | 218335 92 | 220792 93 | 220808 94 | 220871 95 | 220978 96 | 220996 97 | 221014 98 | 223083 99 | 226806 100 | 226833 101 | 228732 102 | 229090 103 | 229407 104 | 230597 105 | 230959 106 | 231156 107 | 234845 108 | 239169 109 | 239309 110 | 239318 111 | 240435 112 | 245953 113 | 247083 114 | 247649 115 | 260381 116 | 373085 117 | 375489 118 | 383020 119 | 404480 120 | 407285 121 | 409379 122 | 417318 123 | 417752 124 | 420802 125 | 423643 126 | 434414 127 | 436377 128 | 436429 129 | 436702 130 | 438179 131 | 439020 132 | 439154 133 | 440138 134 | 442578 135 | 443599 136 | 443711 137 | 446978 138 | 447360 139 | 448336 140 | 451556 141 | 451769 142 | 454218 143 | 455585 144 | 456454 145 | 456782 146 | 457299 147 | 457688 148 | 458432 149 | 458742 150 | 461847 151 | 461883 152 | 475370 153 | 475495 154 | 475510 155 | 475608 156 | 475617 157 | 475635 158 | 475699 159 | 475732 160 | 475741 161 | 475787 162 | 475866 163 | 475875 164 | 475884 165 | 476072 166 | 476319 167 | 476382 168 | 476601 169 | 476692 170 | 476717 171 | 476975 172 | 477011 173 | 477020 174 | 477039 175 | 477950 176 | 477996 177 | 478005 178 | 478014 179 | 479567 180 | 479576 181 | 479585 182 | 479594 183 | 479600 184 | 479619 185 | 479628 186 | 479637 187 | 479646 188 | 479655 189 | 479770 190 | 479956 191 | 480064 192 | 480073 193 | 480082 194 | 480091 195 | 480116 196 | 480134 197 | 480143 198 | 480198 199 | 480204 200 | 480301 201 | 480444 202 | 480499 203 | 480569 204 | -------------------------------------------------------------------------------- /join-accred-with-ipeds.py: -------------------------------------------------------------------------------- 1 | # 2 | import csv 3 | 4 | accred_id_dict = dict() 5 | accred_name_dict = dict() 6 | 7 | accred_colleges = set() 8 | with open('accredidation-ipeds.csv', 'rU') as csvfile: 9 | reader = csv.reader(csvfile) 10 | for row in reader: 11 | accred_colleges.add(row[8]) 12 | accred_id_dict[row[8]] = row[0] 13 | accred_name_dict[row[8]] = row[1] 14 | 15 | ipeds_dict = dict() 16 | 17 | ipeds_colleges = set() 18 | with open('./datasets/ipeds_data_for_production_database.csv', 'rU') as csvfile: 19 | reader = csv.reader(csvfile) 20 | next(reader, None) 21 | for row in reader: 22 | ipeds_colleges.add(row[0]) 23 | ipeds_dict[row[0]] = row 24 | 25 | intersect = ipeds_colleges.intersection(accred_colleges) 26 | ipeds_diff = ipeds_colleges - accred_colleges 27 | accred_diff = accred_colleges - ipeds_colleges 28 | 29 | outfile = open('union.csv', 'w') 30 | union_writer = csv.writer(outfile) 31 | 32 | outfile = open('links.html', 'w') 33 | outfile2 = open('links.txt', 'w') 34 | 35 | with open('join.csv', 'wb') as csvfile: 36 | writer = csv.writer(csvfile) 37 | writer.writerow(['IPEDS', 'ipeds_name', 'doe_id', 'doe_name'] + ['DRVIC2012.Percent admitted - total', 'DRVGR2012.Graduation rate - bachelor\'s degree within 6 years, total', 'IC2012.SAT Critical Reading 25th percentile score', 'IC2012.SAT Critical Reading 75th percentile score', 'IC2012.SAT Math 25th percentile score', 'IC2012.SAT Math 75th percentile score', 'IC2012.SAT Writing 25th percentile score', 'IC2012.SAT Writing 75th percentile score']) 38 | union_writer.writerow(['IPEDS', 'ipeds_name', 'doe_id', 'doe_name'] + ['DRVIC2012.Percent admitted - total', 'DRVGR2012.Graduation rate - bachelor\'s degree within 6 years, total', 'IC2012.SAT Critical Reading 25th percentile score', 'IC2012.SAT Critical Reading 75th percentile score', 'IC2012.SAT Math 25th percentile score', 'IC2012.SAT Math 75th percentile score', 'IC2012.SAT Writing 25th percentile score', 'IC2012.SAT Writing 75th percentile score']) 39 | for x in intersect: 40 | writer.writerow([ x, ipeds_dict[x][1], accred_id_dict[x], accred_name_dict[x] ] + ipeds_dict[x][2:]) 41 | union_writer.writerow([ x, ipeds_dict[x][1], accred_id_dict[x], accred_name_dict[x] ] + ipeds_dict[x][2:]) 42 | for x in ipeds_diff: 43 | union_writer.writerow([ x, ipeds_dict[x][1], '', '' ] + ipeds_dict[x][2:]) 44 | for x in accred_diff: 45 | union_writer.writerow([ x, '', accred_id_dict[x], accred_name_dict[x] ]) 46 | for x in accred_diff: 47 | outfile.write( '' + x + '' + '\n' ) 48 | outfile2.write( 'http://nces.ed.gov/collegenavigator/?id=' + str(x) + '\n' ) -------------------------------------------------------------------------------- /match-list-a-list-b.py: -------------------------------------------------------------------------------- 1 | import csv 2 | from fuzzywuzzy import fuzz 3 | 4 | # List B 5 | b_ipeds = set() 6 | b_ipeds_used = set() 7 | b_dict = dict() 8 | 9 | # master 10 | with open('master-with-sat-debt-and-default.csv', 'rU') as csvfile: 11 | reader = csv.reader(csvfile) 12 | master_header = next(reader) 13 | for row in reader: 14 | b_ipeds.add(int(row[0])) 15 | b_dict[int(row[0])] = row 16 | 17 | outfile = open('a-vs-b.csv', 'w') 18 | writer = csv.writer(outfile) 19 | 20 | empty_row = [''] * 23 21 | 22 | # vs output-final 23 | with open('output-final.csv', 'rU') as csvfile: 24 | reader = csv.reader(csvfile) 25 | writer.writerow( ['u_id', 'IPEDS ID', 'Freebase id', 'Name', 'Median SAT', 'Graduation rate', 'Retention rate'] + master_header + ['Name Score', 'Reasonable SAT', 'Difference Graduation', 'Difference Retention'] ) 26 | for row in reader: 27 | new_row = [ row[0], row[2], row[1], row[4], row[6], row[7], row[8] ] 28 | if (row[2] != '') and (int(row[2]) in b_ipeds): 29 | new_row = new_row + b_dict[int(row[2])] 30 | b_ipeds_used.add(int(row[2])) 31 | else: 32 | new_row = new_row + empty_row 33 | 34 | if row[2].isdigit(): 35 | b_row = b_dict[int(row[2])] 36 | 37 | ratio = fuzz.token_sort_ratio(row[4], b_row[1]) 38 | new_row = new_row + [ratio] 39 | 40 | if b_row[9].isdigit() and row[6]!='': 41 | total_25 = (int(b_row[9]) + int(b_row[11])) 42 | total_75 = (int(b_row[10]) + int(b_row[12])) 43 | print total_25 44 | print total_75 45 | print row[6] 46 | print (int(row[6]) >= total_25) 47 | print (int(row[6]) <= total_75) 48 | if (int(row[6]) >= total_25) and (int(row[6]) <= total_75): 49 | new_row = new_row + ['YES'] 50 | print 'YES' 51 | else: 52 | new_row = new_row + ['NO'] 53 | print 'NO' 54 | elif b_row[9]=='' and row[6]=='': 55 | new_row = new_row + ['NO DATA'] 56 | else: 57 | new_row = new_row + [''] 58 | 59 | if b_row[17].isdigit() and row[7].isdigit(): 60 | new_row = new_row + [ str( abs(int(row[7]) - int(b_row[17])) ) ] 61 | elif b_row[17]=='' and row[7]=='': 62 | new_row = new_row + ['NO DATA'] 63 | else: 64 | new_row = new_row + [''] 65 | if b_row[18].isdigit() and row[8].isdigit(): 66 | new_row = new_row + [ str( abs(int(row[8]) - int(b_row[18])) )] 67 | elif b_row[17].isdigit() and row[7].isdigit(): 68 | new_row = new_row + ['NO DATA'] 69 | else: 70 | new_row = new_row + ['']; 71 | 72 | writer.writerow(new_row) 73 | 74 | outfile = open('new-colleges.csv', 'w') 75 | writer = csv.writer(outfile) 76 | 77 | ipeds_left = b_ipeds - b_ipeds_used 78 | for i in ipeds_left: 79 | # row = [''] * 8 + b_dict[i] 80 | row = b_dict[i] 81 | writer.writerow(row) -------------------------------------------------------------------------------- /master-script.py: -------------------------------------------------------------------------------- 1 | #Master script 2 | 3 | # 0: IPEDS ID 4 | # 1: College Navigator name or from source (Accred, Freebase, IPEDS) by longer name 5 | # 2: Accred ID 6 | # 3: Freebase MID 7 | # 4: OPE ID (from College Navigator, else DoE) 8 | # 5: 4 Year (YES) or (NO) 9 | 10 | from __future__ import division 11 | from bs4 import BeautifulSoup 12 | import urllib2 13 | import csv 14 | import sys 15 | #from fuzzywuzzy import process 16 | 17 | def run(int_suffix): 18 | outfile = open('master-matching' + str(int_suffix) + '.csv', 'w') 19 | writer = csv.writer(outfile) 20 | 21 | #Get OPE IDs from accredidation 22 | accred = set() 23 | accred_opeid = dict() 24 | 25 | with open('accredidation-ipeds.csv', 'rU') as f: 26 | reader = csv.reader(f) 27 | first_row = next(reader) 28 | for row in reader: 29 | if len(row[7])>0: 30 | accred.add(row[0]) 31 | accred_opeid[row[0]] = row[7].split('"')[1] 32 | 33 | 34 | #Get postsecondary data from 2012 IPEDS 35 | ipeds_2012 = set() 36 | ipeds_2012_names = dict() 37 | ipeds_2012_opeid = dict() 38 | ipeds_2012_ugoffer = dict() # Undergraduate Offering 39 | # where 1 = YES, 2 = NO 40 | ipeds_2012_hloffer = dict() # Highest Level Offered 41 | # where 5 = Batchelor's degree 42 | 43 | with open('hd2012_data_stata.csv', 'rU') as f: 44 | reader = csv.reader(f) 45 | first_row = next(reader) 46 | for row in reader: 47 | ipeds_2012.add(row[0]) 48 | ipeds_2012_names[row[0]] = row[1] 49 | ipeds_2012_opeid[row[0]] = row[12] 50 | ipeds_2012_hloffer[row[0]] = int(row[22]) 51 | ipeds_2012_ugoffer[row[0]] = int(row[23]) 52 | 53 | 54 | #Start matching process 55 | with open('union-freebase-with-name-conflicts-sorted.csv', 'rU') as f: 56 | reader = csv.reader(f) 57 | first_row = next(reader) 58 | num_skip = int_suffix*2000 59 | for x in range(0, num_skip+1): 60 | next(reader) 61 | new_first_row = [ 'IPEDS ID', 'Name', 'DoE ID', 'Freebase mid', 'OPE ID', 'Four-Year' ] 62 | writer.writerow(new_first_row) 63 | 64 | for row in reader: 65 | ipeds = row[1] 66 | name = '' 67 | accred_id = '' 68 | mid = '' 69 | opeid = '' 70 | four_year = '' 71 | 72 | accred_id = row[3] 73 | mid = row[5] 74 | 75 | if ipeds in ipeds_2012: 76 | name = ipeds_2012_names[ipeds] 77 | opeid = ipeds_2012_opeid[ipeds] 78 | print "In ipeds_2012: " + name + " " + opeid + " HLOFFER: " + str(ipeds_2012_hloffer[ipeds]) 79 | four_year = 'YES' if (ipeds_2012_hloffer[ipeds] >= 5 and ipeds_2012_ugoffer[ipeds] == 1) else 'NO' 80 | print "Four-Year: " + four_year 81 | 82 | else: 83 | link = 'http://nces.ed.gov/collegenavigator/?id=' + str(ipeds) 84 | print link 85 | response = urllib2.urlopen(link).read() 86 | soup = BeautifulSoup(response) 87 | print soup.title.string 88 | noresults = soup.find(class_='noresults') 89 | 90 | # Not found in college navigator 91 | if noresults: 92 | names = list() 93 | names.append(row[2]) 94 | names.append(row[4]) 95 | names.append(row[6]) 96 | name = max(names, key=len) 97 | if ipeds in accred: 98 | opeid = accred_opeid[ipeds] 99 | 100 | # Found in college navigator 101 | else: 102 | name = soup.find(class_='headerlg').string 103 | ipeds_string = soup.find(class_='mapngo').find(class_='ipeds').text 104 | if "OPEID: " in ipeds_string: 105 | opeid = ipeds_string.split("OPE ID: ")[1] 106 | opeid = int(opeid) 107 | print "OPEID: " + str(opeid) 108 | elif ipeds in accred: 109 | opeid = accred_opeid[ipeds] 110 | navigator_rows = soup.find_all(class_='srb') 111 | print navigator_rows[2] 112 | four_year = 'YES' if ('4-year' in navigator_rows[2]) else 'NO' 113 | print "Four-Year: " + four_year 114 | 115 | writer.writerow([ ipeds, name, accred_id, mid, str(opeid), four_year ]) 116 | 117 | run(int(sys.argv[1])) 118 | -------------------------------------------------------------------------------- /diff-output/ipeds-vs-accred.txt: -------------------------------------------------------------------------------- 1 | 100733 2 | 101365 3 | 102580 4 | 103529 5 | 103723 6 | 104364 7 | 104531 8 | 104586 9 | 105163 10 | 105172 11 | 105367 12 | 108056 13 | 108250 14 | 110185 15 | 110501 16 | 113607 17 | 114390 18 | 116466 19 | 116475 20 | 116484 21 | 117928 22 | 119058 23 | 120740 24 | 121983 25 | 123448 26 | 124557 27 | 125037 28 | 127680 29 | 127699 30 | 128300 31 | 129428 32 | 132842 33 | 134149 34 | 134909 35 | 135063 36 | 135610 37 | 136066 38 | 136206 39 | 137148 40 | 137801 41 | 138309 42 | 139533 43 | 140340 44 | 141963 45 | 142337 46 | 144759 47 | 145770 48 | 146384 49 | 149240 50 | 149587 51 | 151485 52 | 151494 53 | 151500 54 | 151616 55 | 151625 56 | 151944 57 | 153409 58 | 153418 59 | 155636 60 | 157021 61 | 157599 62 | 157696 63 | 159638 64 | 160533 65 | 161280 66 | 162681 67 | 164146 68 | 166665 69 | 168838 70 | 170417 71 | 171298 72 | 172972 73 | 173966 74 | 173984 75 | 174154 76 | 174385 77 | 175014 78 | 175999 79 | 176637 80 | 177162 81 | 178439 82 | 181242 83 | 181400 84 | 181543 85 | 181747 86 | 182111 87 | 182519 88 | 183071 89 | 183327 90 | 184269 91 | 184694 92 | 186371 93 | 186399 94 | 188517 95 | 189556 96 | 189565 97 | 189583 98 | 190035 99 | 190424 100 | 192439 101 | 192457 102 | 192554 103 | 192563 104 | 193317 105 | 195827 106 | 198978 107 | 199175 108 | 200013 109 | 200785 110 | 201469 111 | 202541 112 | 202684 113 | 203313 114 | 203447 115 | 203456 116 | 203465 117 | 203474 118 | 203483 119 | 203492 120 | 203526 121 | 204006 122 | 204015 123 | 204316 124 | 204547 125 | 204671 126 | 204680 127 | 204699 128 | 204705 129 | 204802 130 | 204820 131 | 204839 132 | 204848 133 | 204866 134 | 205610 135 | 205647 136 | 206613 137 | 206631 138 | 207315 139 | 207342 140 | 208965 141 | 209445 142 | 214591 143 | 214607 144 | 214616 145 | 214625 146 | 214634 147 | 214643 148 | 214652 149 | 214670 150 | 214689 151 | 214698 152 | 214704 153 | 214713 154 | 214731 155 | 214740 156 | 214759 157 | 214768 158 | 214786 159 | 214795 160 | 214801 161 | 214810 162 | 214829 163 | 215275 164 | 218089 165 | 219213 166 | 220002 167 | 224402 168 | 225849 169 | 225858 170 | 227243 171 | 228714 172 | 228732 173 | 229090 174 | 229407 175 | 230384 176 | 230630 177 | 231156 178 | 231785 179 | 231828 180 | 233684 181 | 235510 182 | 237701 183 | 237950 184 | 238892 185 | 238935 186 | 239929 187 | 240392 188 | 240435 189 | 244011 190 | 244154 191 | 244190 192 | 245838 193 | 245847 194 | 245865 195 | 245883 196 | 245892 197 | 247083 198 | 247700 199 | 248882 200 | 251251 201 | 260293 202 | 260381 203 | 260910 204 | 260974 205 | 261472 206 | 262022 207 | 363439 208 | 365426 209 | 366580 210 | 366650 211 | 366678 212 | 366696 213 | 366702 214 | 366748 215 | 366757 216 | 367024 217 | 367909 218 | 367936 219 | 368601 220 | 369084 221 | 369817 222 | 369905 223 | 372213 224 | 372222 225 | 372578 226 | 373085 227 | 374972 228 | 375489 229 | 377069 230 | 377555 231 | 377564 232 | 378406 233 | 380465 234 | 381617 235 | 381787 236 | 381909 237 | 386472 238 | 390701 239 | 402615 240 | 402776 241 | 402828 242 | 404073 243 | 404082 244 | 404480 245 | 404648 246 | 405979 247 | 405988 248 | 405997 249 | 406006 250 | 406015 251 | 406547 252 | 407063 253 | 407285 254 | 407319 255 | 408039 256 | 409069 257 | 409829 258 | 409838 259 | 413839 260 | 413848 261 | 413857 262 | 413866 263 | 413884 264 | 414160 265 | 414531 266 | 414568 267 | 414586 268 | 414708 269 | 414878 270 | 416962 271 | 419457 272 | 419509 273 | 419536 274 | 420006 275 | 420042 276 | 420316 277 | 420802 278 | 420866 279 | 420972 280 | 421009 281 | 421018 282 | 423643 283 | 426314 284 | 427663 285 | 428259 286 | 428268 287 | 429599 288 | 430087 289 | 430184 290 | 430263 291 | 430379 292 | 430388 293 | 432199 294 | 432214 295 | 432223 296 | 432232 297 | 432241 298 | 432357 299 | 433536 300 | 434052 301 | 434539 302 | 434548 303 | 434557 304 | 434946 305 | 434955 306 | 434964 307 | 434973 308 | 434982 309 | 434991 310 | 435000 311 | 436094 312 | 436483 313 | 436818 314 | 436827 315 | 436836 316 | 437042 317 | 437051 318 | 437219 319 | 437325 320 | 437343 321 | 437361 322 | 437848 323 | 438151 324 | 438179 325 | 438382 326 | 438416 327 | 438586 328 | 438601 329 | 438610 330 | 438629 331 | 438902 332 | 439057 333 | 439136 334 | 439154 335 | 439163 336 | 439279 337 | 439297 338 | 439330 339 | 440138 340 | 440147 341 | 440165 342 | 440299 343 | 440341 344 | 440411 345 | 440420 346 | 440439 347 | 440448 348 | 440457 349 | 440466 350 | 440484 351 | 440536 352 | 440545 353 | 440572 354 | 440581 355 | 440590 356 | 440749 357 | 440758 358 | 440767 359 | 440828 360 | 440916 361 | 440925 362 | 441955 363 | 441964 364 | 441973 365 | 442143 366 | 442152 367 | 442161 368 | 442170 369 | 442189 370 | 442222 371 | 442338 372 | 442365 373 | 442499 374 | 442505 375 | 442578 376 | 442639 377 | 442718 378 | 442824 379 | 442897 380 | 443456 381 | 443465 382 | 443474 383 | 443526 384 | 443535 385 | 443544 386 | 443687 387 | 443711 388 | 443766 389 | 443784 390 | 443881 391 | 443890 392 | 443906 393 | 443924 394 | 443988 395 | 443997 396 | 444033 397 | 444060 398 | 444088 399 | 444158 400 | 444167 401 | 444255 402 | 444927 403 | 444990 404 | 445072 405 | 445081 406 | 445124 407 | 445133 408 | 445267 409 | 445276 410 | 445300 411 | 445319 412 | 445391 413 | 445407 414 | 445416 415 | 445434 416 | 445717 417 | 445920 418 | 445939 419 | 446677 420 | 446701 421 | 446710 422 | 446729 423 | 446738 424 | 446747 425 | 446756 426 | 446765 427 | 446792 428 | 446808 429 | 446817 430 | 446899 431 | 446905 432 | 446914 433 | 446923 434 | 446978 435 | 447069 436 | 447236 437 | 447272 438 | 447290 439 | 447421 440 | 447476 441 | 447485 442 | 447652 443 | 447661 444 | 447670 445 | 448284 446 | 448309 447 | 448336 448 | 448345 449 | 448442 450 | 448451 451 | 448479 452 | 448488 453 | 448497 454 | 448503 455 | 448512 456 | 448521 457 | 448530 458 | 448549 459 | 448558 460 | 448567 461 | 448585 462 | 448628 463 | 448673 464 | 448734 465 | 448822 466 | 448831 467 | 448840 468 | 448877 469 | 449010 470 | 449038 471 | 449931 472 | 450049 473 | 450085 474 | 450094 475 | 450207 476 | 450216 477 | 450225 478 | 450234 479 | 450243 480 | 450252 481 | 450261 482 | 450270 483 | 450289 484 | 450298 485 | 450377 486 | 450447 487 | 450456 488 | 450465 489 | 450474 490 | 450483 491 | 450492 492 | 450508 493 | 450517 494 | 450526 495 | 450535 496 | 450544 497 | 450571 498 | 450766 499 | 451662 500 | 451680 501 | 451699 502 | 451750 503 | 451769 504 | 451796 505 | 451820 506 | 451848 507 | 451875 508 | 451884 509 | 451936 510 | 451945 511 | 451954 512 | 451963 513 | 451972 514 | 451981 515 | 451990 516 | 452018 517 | 452027 518 | 452090 519 | 453127 520 | 453163 521 | 453215 522 | 454209 523 | 454218 524 | 454227 525 | 454236 526 | 454245 527 | 454582 528 | 455433 529 | 455585 530 | 455600 531 | 455619 532 | 455664 533 | 455682 534 | 456010 535 | 456056 536 | 456296 537 | 456348 538 | 456393 539 | 456409 540 | 456427 541 | 456436 542 | 456445 543 | 456481 544 | 456490 545 | 456612 546 | 456621 547 | 456630 548 | 456667 549 | 456782 550 | 456791 551 | 456807 552 | 456816 553 | 456834 554 | 456959 555 | 457022 556 | 457129 557 | 458210 558 | 458229 559 | 458256 560 | 458432 561 | 458496 562 | 458502 563 | 458511 564 | 458557 565 | 458733 566 | 458742 567 | 458751 568 | 458760 569 | 458779 570 | 458885 571 | 458919 572 | 458937 573 | 458955 574 | 458964 575 | 458973 576 | 458982 577 | 458991 578 | 459091 579 | 459107 580 | 459259 581 | 459268 582 | 459587 583 | 459596 584 | 459602 585 | 459611 586 | 459620 587 | 459639 588 | 459648 589 | 459657 590 | 459666 591 | 459675 592 | 459684 593 | 459693 594 | 459709 595 | 459718 596 | 459727 597 | 459745 598 | 459824 599 | 459842 600 | 459851 601 | 459994 602 | 460039 603 | 460048 604 | 460349 605 | 460473 606 | 460613 607 | 460783 608 | 460871 609 | 461005 610 | 461069 611 | 461148 612 | 462080 613 | 462099 614 | 462105 615 | 462114 616 | 462123 617 | 462132 618 | 462141 619 | 462150 620 | 462169 621 | 462178 622 | 462187 623 | 462196 624 | 462202 625 | 462211 626 | 462220 627 | 462239 628 | 462363 629 | 462372 630 | 462390 631 | 462406 632 | 466152 633 | 466161 634 | 466170 635 | 466189 636 | 466514 637 | 466921 638 | 466930 639 | 467058 640 | 467793 641 | 468006 642 | 468015 643 | 468024 644 | 470092 645 | 470162 646 | 470852 647 | 470861 648 | 470870 649 | 470889 650 | 470898 651 | 470904 652 | 474702 653 | 474906 654 | 474951 655 | 474960 656 | 474979 657 | 475121 658 | 475200 659 | 475228 660 | 475237 661 | 475273 662 | 475291 663 | 475370 664 | 475608 665 | 475617 666 | 475635 667 | 475699 668 | 475732 669 | 475741 670 | 475787 671 | 475866 672 | 475875 673 | 475884 674 | 476072 675 | 476319 676 | 476382 677 | 477011 678 | 477020 679 | 477039 680 | 477950 681 | 477996 682 | 478005 683 | 478014 684 | 479567 685 | 479576 686 | 479585 687 | 479594 688 | 479600 689 | 479619 690 | 479628 691 | 479637 692 | 479646 693 | 479655 694 | 479770 695 | 479956 696 | 480064 697 | 480073 698 | 480082 699 | 480091 700 | 480116 701 | 480134 702 | 480143 703 | 480198 704 | 480204 705 | 480301 706 | 480444 707 | 480569 708 | -------------------------------------------------------------------------------- /diff-output/debt-vs-ipeds.txt: -------------------------------------------------------------------------------- 1 | 100885 2 | 100928 3 | 102100 4 | 102119 5 | 102322 6 | 102331 7 | 102359 8 | 102906 9 | 103440 10 | 105941 11 | 105950 12 | 106078 13 | 107035 14 | 107336 15 | 107372 16 | 108603 17 | 109013 18 | 109095 19 | 109110 20 | 109642 21 | 109916 22 | 110051 23 | 110264 24 | 110440 25 | 110459 26 | 110477 27 | 110927 28 | 110936 29 | 110981 30 | 111036 31 | 111179 32 | 111489 33 | 111647 34 | 111814 35 | 112093 36 | 112109 37 | 112163 38 | 112233 39 | 112312 40 | 112589 41 | 114239 42 | 115029 43 | 115047 44 | 115074 45 | 115241 46 | 115250 47 | 115843 48 | 115922 49 | 115940 50 | 116022 51 | 116110 52 | 116156 53 | 116262 54 | 116402 55 | 116624 56 | 116943 57 | 116970 58 | 117061 59 | 117308 60 | 117548 61 | 117937 62 | 118310 63 | 118569 64 | 119049 65 | 119076 66 | 119128 67 | 119711 68 | 119881 69 | 120157 70 | 120430 71 | 120652 72 | 120810 73 | 120874 74 | 120944 75 | 121123 76 | 121141 77 | 121600 78 | 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311 | 215406 312 | 216180 313 | 216384 314 | 217068 315 | 217697 316 | 217970 317 | 218131 318 | 218168 319 | 218317 320 | 219073 321 | 219134 322 | 220224 323 | 220561 324 | 220589 325 | 220914 326 | 221193 327 | 221245 328 | 221704 329 | 221786 330 | 224208 331 | 225742 332 | 228477 333 | 228811 334 | 228990 335 | 229762 336 | 230843 337 | 231110 338 | 231192 339 | 231396 340 | 231402 341 | 231703 342 | 232140 343 | 232362 344 | 232469 345 | 233259 346 | 233462 347 | 233727 348 | 234058 349 | 234793 350 | 234960 351 | 235185 352 | 236090 353 | 236106 354 | 236300 355 | 237190 356 | 237288 357 | 237905 358 | 238263 359 | 238856 360 | 238883 361 | 239406 362 | 239752 363 | 239822 364 | 240347 365 | 243762 366 | 243805 367 | 244464 368 | 245245 369 | 245412 370 | 246558 371 | 247056 372 | 247250 373 | 247296 374 | 247445 375 | 247612 376 | 247764 377 | 247922 378 | 248943 379 | 260141 380 | 260169 381 | 260187 382 | 260196 383 | 260211 384 | 260804 385 | 261065 386 | 262013 387 | 262095 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619 | 433156 620 | 433217 621 | 433280 622 | 433305 623 | 433554 624 | 434654 625 | 434663 626 | 434706 627 | 434724 628 | 434788 629 | 434803 630 | 434885 631 | 434928 632 | 435338 633 | 436021 634 | 436234 635 | 436298 636 | 436386 637 | 436447 638 | 436456 639 | 436474 640 | 436845 641 | 437130 642 | 437185 643 | 437264 644 | 437282 645 | 437291 646 | 437307 647 | 437334 648 | 437352 649 | 437370 650 | 437389 651 | 437398 652 | 437404 653 | 437510 654 | 437866 655 | 438027 656 | 438072 657 | 438081 658 | 438090 659 | 438391 660 | 438407 661 | 438443 662 | 438595 663 | 438717 664 | 438744 665 | 438762 666 | 438771 667 | 438799 668 | 438911 669 | 438939 670 | 438948 671 | 438966 672 | 439011 673 | 439075 674 | 439109 675 | 439172 676 | 439181 677 | 439206 678 | 439215 679 | 439224 680 | 439233 681 | 439242 682 | 439251 683 | 439260 684 | 439321 685 | 440004 686 | 440192 687 | 440387 688 | 440493 689 | 440509 690 | 440518 691 | 440527 692 | 440660 693 | 440712 694 | 441061 695 | 441399 696 | 441946 697 | 442107 698 | 442116 699 | 442125 700 | 442198 701 | 442259 702 | 442268 703 | 442277 704 | 442301 705 | 442541 706 | 442754 707 | 442772 708 | 442833 709 | 443030 710 | 443386 711 | 443757 712 | 443775 713 | 443793 714 | 443872 715 | 443915 716 | 443960 717 | 444006 718 | 444820 719 | 444848 720 | 445054 721 | 445966 722 | 446695 723 | 446826 724 | 446969 725 | 447139 726 | 447397 727 | 447643 728 | 448293 729 | 448318 730 | 448682 731 | 448743 732 | 448886 733 | 450164 734 | 450687 735 | 451185 736 | 451723 737 | 451787 738 | 453543 739 | 454166 740 | 454625 741 | 455594 742 | 456171 743 | 457095 744 | 458548 745 | 458575 746 | 461050 747 | 470269 748 | 475042 749 | -------------------------------------------------------------------------------- /diff-output/debt-vs-freebase.txt: -------------------------------------------------------------------------------- 1 | 100885 2 | 100928 3 | 102100 4 | 102119 5 | 102322 6 | 102331 7 | 102359 8 | 102906 9 | 103440 10 | 105941 11 | 105950 12 | 106078 13 | 107035 14 | 107336 15 | 107372 16 | 108603 17 | 109095 18 | 109110 19 | 109642 20 | 109916 21 | 110264 22 | 110440 23 | 110459 24 | 110477 25 | 110927 26 | 110936 27 | 110981 28 | 111036 29 | 111179 30 | 111489 31 | 111647 32 | 111814 33 | 112093 34 | 112109 35 | 112163 36 | 112233 37 | 112589 38 | 114239 39 | 115029 40 | 115047 41 | 115074 42 | 115241 43 | 115250 44 | 115843 45 | 115922 46 | 115940 47 | 116022 48 | 116110 49 | 116156 50 | 116262 51 | 116402 52 | 116943 53 | 116970 54 | 117061 55 | 117308 56 | 117548 57 | 117937 58 | 118310 59 | 118569 60 | 119049 61 | 119076 62 | 119128 63 | 119711 64 | 119881 65 | 120157 66 | 120430 67 | 120652 68 | 120810 69 | 120874 70 | 121123 71 | 121141 72 | 121600 73 | 122126 74 | 122144 75 | 122223 76 | 122250 77 | 122533 78 | 122861 79 | 122995 80 | 123271 81 | 123314 82 | 123688 83 | 123712 84 | 124627 85 | 124733 86 | 124885 87 | 125037 88 | 125347 89 | 125587 90 | 125602 91 | 125806 92 | 125815 93 | 125824 94 | 125985 95 | 126085 96 | 126128 97 | 126368 98 | 126526 99 | 126571 100 | 126881 101 | 127042 102 | 127103 103 | 127796 104 | 131380 105 | 131724 106 | 131788 107 | 131946 108 | 131964 109 | 132161 110 | 133067 111 | 133599 112 | 133623 113 | 133775 114 | 134361 115 | 134459 116 | 134477 117 | 134699 118 | 135230 119 | 135601 120 | 135920 121 | 136446 122 | 136455 123 | 137306 124 | 137388 125 | 137421 126 | 138062 127 | 138071 128 | 138336 129 | 138530 130 | 138725 131 | 138877 132 | 139825 133 | 139843 134 | 140100 135 | 140438 136 | 140571 137 | 141723 138 | 141866 139 | 142957 140 | 143163 141 | 143242 142 | 143367 143 | 143941 144 | 144768 145 | 144838 146 | 145026 147 | 145761 148 | 145840 149 | 145901 150 | 146384 151 | 147518 152 | 147882 153 | 149578 154 | 150367 155 | 150376 156 | 150561 157 | 150969 158 | 151120 159 | 151148 160 | 152345 161 | 152734 162 | 153898 163 | 153931 164 | 154439 165 | 154509 166 | 155308 167 | 155326 168 | 155946 169 | 156055 170 | 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425296 556 | 425302 557 | 425533 558 | 426794 559 | 427946 560 | 428107 561 | 428408 562 | 430333 563 | 430573 564 | 430865 565 | 431114 566 | 431132 567 | 431655 568 | 431743 569 | 431822 570 | 431901 571 | 432171 572 | 432180 573 | 432205 574 | 432375 575 | 433129 576 | 433147 577 | 433156 578 | 433280 579 | 433305 580 | 433554 581 | 434654 582 | 434663 583 | 434706 584 | 434724 585 | 434788 586 | 434803 587 | 434885 588 | 434928 589 | 435338 590 | 436234 591 | 436298 592 | 436386 593 | 436447 594 | 436456 595 | 436474 596 | 436845 597 | 437097 598 | 437130 599 | 437185 600 | 437264 601 | 437282 602 | 437291 603 | 437307 604 | 437334 605 | 437343 606 | 437352 607 | 437361 608 | 437370 609 | 437389 610 | 437398 611 | 437404 612 | 437510 613 | 437866 614 | 438027 615 | 438072 616 | 438081 617 | 438090 618 | 438391 619 | 438407 620 | 438443 621 | 438595 622 | 438717 623 | 438744 624 | 438762 625 | 438771 626 | 438799 627 | 438911 628 | 438939 629 | 438948 630 | 439011 631 | 439075 632 | 439109 633 | 439172 634 | 439181 635 | 439206 636 | 439215 637 | 439224 638 | 439233 639 | 439242 640 | 439251 641 | 439260 642 | 439321 643 | 440192 644 | 440387 645 | 440493 646 | 440509 647 | 440518 648 | 440527 649 | 440572 650 | 440581 651 | 440660 652 | 440712 653 | 441061 654 | 441159 655 | 441946 656 | 442107 657 | 442116 658 | 442125 659 | 442198 660 | 442259 661 | 442268 662 | 442277 663 | 442301 664 | 442754 665 | 442772 666 | 443386 667 | 443757 668 | 443775 669 | 443793 670 | 443960 671 | 443988 672 | 444006 673 | 444820 674 | 445966 675 | 446695 676 | 446826 677 | 446969 678 | 447139 679 | 447643 680 | 448293 681 | 448318 682 | 448682 683 | 448743 684 | 448886 685 | 450164 686 | 451723 687 | 453543 688 | 454166 689 | 460729 690 | 460738 691 | 460783 692 | 460871 693 | 460899 694 | 460941 695 | 461005 696 | 461023 697 | 461032 698 | 461050 699 | 461069 700 | 461120 701 | 461139 702 | 461148 703 | 461236 704 | 461281 705 | 461485 706 | 461528 707 | 461643 708 | 461759 709 | 461795 710 | 462044 711 | 462080 712 | 462099 713 | 462105 714 | 462114 715 | 462123 716 | 462132 717 | 462141 718 | 462150 719 | 462169 720 | 462178 721 | 462187 722 | 462196 723 | 462202 724 | 462211 725 | 462220 726 | 462239 727 | 462354 728 | 462363 729 | 462372 730 | 462390 731 | 462406 732 | 465812 733 | 466152 734 | 466161 735 | 466170 736 | 466189 737 | 466514 738 | 466921 739 | 466930 740 | 467058 741 | 467793 742 | 468006 743 | 468015 744 | 468024 745 | 470092 746 | 470162 747 | 470269 748 | 470852 749 | 470861 750 | 470870 751 | 470889 752 | 470898 753 | 470904 754 | 474702 755 | 474863 756 | 474890 757 | 474906 758 | 474951 759 | 474960 760 | 474979 761 | 475033 762 | 475042 763 | 475121 764 | 475185 765 | 475200 766 | 475228 767 | 475237 768 | 475273 769 | 475291 770 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | Constructing Master List of Colleges & Data 2 | ========================================= 3 | 4 | ### Introduction 5 | The purpose of this project was to: 6 | 1) Create a more complete list of schools, 7 | 2) Collect more data for each school for use in the mode, and 8 | 3) Reconcile the previous list of schools to the new list. 9 | 10 | ### Goals: 11 | * Establish reliable sources of data 12 | * Discern a unique and complete ID(s) 13 | * Collect as many accredidated colleges by volume 14 | * Append SAT/ACT, graduation and retention rates 15 | * Append debt, and default rate data 16 | 17 | ### Getting Started 18 | ######Install dependencies: 19 | `pip install -r requirements.txt` 20 | 21 | ###Procedure: 22 | #####Establishing sources of data & IDs 23 | We gathered 6 sources that were publicly available: 24 | * IPEDS (Integrated Postsecondary Education Data System) Data Center from NCES (National Center for Education Statistics) 25 | http://nces.ed.gov/ipeds/datacenter/ 26 | Supplemented by College Navigator 27 | http://nces.ed.gov/collegenavigator/ 28 | * Freebase /education Domain & IPEDS Namespace 29 | http://www.freebase.com/education/educational_institution 30 | http://www.freebase.com/authority/nces/ipeds 31 | * Database of Accredidated Postsecondary Institutions and Programs 32 | http://ope.ed.gov/accreditation/ 33 | * Payscale College Salary Report 34 | http://www.payscale.com/college-salary-report-2014/full-list-of-schools 35 | * CollegeInSight Graduates Debt 36 | http://college-insight.org/#explore/go&h=44b136f4d155362e46d5da65ab244409 37 | * Three-year Official Cohort Default Rates for Schools (ed.gov) 38 | http://www2.ed.gov/offices/OSFAP/defaultmanagement/cdr.html 39 | 40 | Four sources of IDs were collected: the IPEDS IDs, OPE IDs, Department of Education IDs, and Freebase IDs. Though each source provides a different list of schools and unique data, the IPEDS ID was chosen as the main ID. The IPEDS ID, provided by NCES, was unique to each university and was the most complete. OPE IDs were unique to each campus (with the main campus's 6-digit ID ending in 00), but were not as comprehensive. 41 | 42 | Considering the three most complete sources - IPEDS, Freebase, and DoE Accredidation, no one data set was a strict subset of another. Due to different IDs, years of recording, and accrediation measures, each set had colleges not contained in others. To construct the master list, the Freebase list and then the DoE tables were outer-joined on the IPEDS ID to the IPEDS data to create the largest set. 43 | 44 | ##### IPEDS 45 | ###### Download from Data Center: 46 | Select "Download Custom Data Files" 47 | Click "Select" to get all institutions 48 | (May not work. Instead, choose one variable that all schools have, and select the full range - e.g. 49 | Use drop-downs and search to select variables 50 | Download as CSV 51 | 52 | At the time, the latest set available for download was 2012 data. However, the College Navigator uses the most updated data, from 2013-2014. In order to collect a small set of data from colleges that were found in Freebase/DoE lists but not in IPEDS 2012, the College Navigator site was scraped for information in HTML. 53 | 54 | To use the College Navigator, search by institution name in the search box, or use the IPEDS ID in the following url: http://nces.ed.gov/collegenavigator/?id=xxxxxx, where 'xxxxxx' is the 6-digit IPEDS ID. 55 | 56 | ##### SAT/ACT, 4-Year Degree 57 | In the 2012 data set, SAT data was provided as 25th and 75th percentiles, for each of the three categories. ACT data was also provided as 25th and 75th percentiles, for the four categories and as the Composite score. Note that colleges may submit one or the other test, or both. 58 | 59 | Whether test scores were required or not, as well as the percent of students submitting was also recorded. 60 | In addition, 4-Year institutions were designated based on the data (Level 5 or higher) 61 | 62 | ##### Freebase Reconciliation 63 | As part of a separate project, the old school list was matched by name to freebase IDs (m\_id). Using the Freebase Search and Reconciliation APIs, the Freebase IDs were collected for all (real) colleges. The Freebase entities for each college were then used to collect the IPEDS IDs (from the IPEDS 'namespace'). The IPEDS ID is the same as 'gov\_id' in the previous model. 64 | 65 | ##### Name Conflicts 66 | The IPEDS Data was chosen as the authority on college names, with the exception being when a college is not found in IPEDS. A few colleges' names were taken from the corresponding College Navigator page. 67 | 68 | ##### Joining Data 69 | 70 | Join Accredidation list with IPEDS 2012 list, on IPEDS ID, keeping the DoE ID 71 | `join-accred-with-ipeds.py` 72 | Join the created list with the Freebase list, keeping the Freebase ID 73 | `join-accred-ipeds-freebase.py` 74 | Use 'fuzzy matching' package to find where names do not match 75 | `name-conflicts.py` 76 | 77 | ##### Current process steps 78 | Format the sorted list to give the columns desired 79 | `python master-script.py` 80 | Add the additional SAT quartile & percent submitting data 81 | `python master-with-sat.py` 82 | Add the additional debt and default rates data 83 | `python append-debt-and-default.py` 84 | 85 | ##### US News Rescrape 86 | Found in lib/tasks/us_news_rescrape.rake. 87 | Used US News Premium to gather more SAT/ACT information, rankings, acceptance rates, and HS GPAs. 88 | A csv was scraped from http://premium.usnews.com/best-colleges/search?spp=10000&category=all. Then, a rake task found in lib/tasks/colleges.rake called "us_news_rescrape:scrape" is run to gather SAT/ACT fields for each college. This is imported in the "colleges:populate" rake task. 89 | 90 | ##### Previous Colleges Schema 91 | ```ruby 92 | create_table "colleges", :force => true do |t| 93 | t.integer "university_id" 94 | t.integer "median_sat_score" 95 | t.integer "median_starting_salary" 96 | t.integer "median_mid_career_salary" 97 | t.decimal "average_annual_salary_growth_rate" 98 | t.datetime "created_at", :null => false 99 | t.datetime "updated_at", :null => false 100 | t.string "name" 101 | t.integer "graduation_rate" 102 | t.integer "retention_rate" 103 | t.integer "gov_id" 104 | end 105 | ``` 106 | 107 | ##### New Attributes 108 | Name | Attribute | Description 109 | ------------- | ------------- | ------------- 110 | ipeds_id | IPEDS ID | Renamed from gov_id; the ID provides by IPEDS 111 | doe_id | DoE ID | Department of Education Accredidation Data ID 112 | freebase_id | Freebase mid | Freebase ID '/m/XXXXXX' 113 | ope_id | OPE ID | Department of Education Office of Postsecondary Education ID (found in IPEDS and DoE data) 114 | is_four_year | Four-Year | "YES" if the institution grants four-year undergraduate degrees, otherwise "NO" 115 | test_scores_required | Test Scores Required | "YES" if the institution requires submission of test scores for admission, otherwise "NO" 116 | sat_reading_25th_percentile | SAT CR 25th | 25th Percentile Score on SAT Critical Reading Section (IPEDS 2012) 117 | sat_reading_75th_percentile | SAT CR 75th | 75th Percentile Score on SAT Critical Reading Section (IPEDS 2012) 118 | sat_math_25th_percentile | SAT M 25th | 25th Percentile Score on SAT Math Section (IPEDS 2012) 119 | sat_math_75th_percentile | SAT M 75th | 75th Percentile Score on SAT Math Section (IPEDS 2012) 120 | sat_writing_25th_percentile | SAT W 25th | 25th Percentile Score on SAT Writing Section (IPEDS 2012) 121 | sat_writing_75th_percentile | SAT W 75th | 75th Percentile Score on SAT Writing Section (IPEDS 2012) 122 | act_composite_25th_percentile | ACT Composite 25th | 25th Percentile ACT Composite Score (IPEDS 2012) 123 | act_composite_75th_percentile | ACT Composite 75th | 75th Percentile ACT Composite Score (IPEDS 2012) 124 | graduation_rate | Graduation Rate | Graduation Rate (Total cohort) from IPEDS 125 | retention_rate | Retention Rate | Retention Rate from IPEDS 126 | average_debt | Avg Debt of Graduates | Average Debt of Graduates, in Dollars, from CollegeInSight 2011-2012 http://college-insight.org/#explore/go&h=44b136f4d155362e46d5da65ab244409 127 | num_defaults | NBD 1 | Number of student defaults (3-Year) from DoE OSFAP 2010 http://www2.ed.gov/offices/OSFAP/defaultmanagement/cdr.html 128 | num_repayments | NBR 1 | Number of students entered repayment (3-Year) from DoE OSFAP 2010 129 | default_rate | DRATE | Default rate (NBD/DBR) from DoE OSFAP 2010 130 | us_news_rank | US News Ranking | Ranking as provided by US News "Best Colleges" http://premium.usnews.com/best-colleges/search?spp=10000&category=all 131 | us_news_category | US News Category | The category in which the college was ranked (e.g. "National Universities"). 132 | acceptance_rate | Acceptance Rate | Acceptance rate of colleges as given by US News 133 | high_school_gpa | High School GPA | GPA of entering freshmen from US News 134 | sat_reading_average | SAT CR Average | Average SAT Reading score from US News, 2012 135 | sat_math_average | SAT M Average | Average SAT Math score from US News, 2012 136 | sat_writing_average | SAT W Average | Average SAT Writing score from US News, 2012 137 | act_composite_average | ACT Composite Average | Average ACT Composite score from US News, 2012 138 | 139 | ####Notes: 140 | * Previous College List size: 1982 141 | * Colleges with Median SAT: 1342 142 | * Colleges with Graduation Rate: 1566 143 | * New 'master' list size: 8528 144 | * 4-Year (undergraduate) colleges in new list: 2870 145 | * SAT/ACT Quartile data in new list: 1434 146 | * Number with graduation rates: 6370 147 | * Number with average debt: 1070 148 | * Number with default rates: 5510 149 | * Number of schools added: 6764 150 | * Number of previous schools that have new SAT/ACT data: 251 151 | * Number of new schools added that have SAT/ACT data: 117 152 | 153 | ##### After US News Rescrape: 154 | * Number of schools with SAT/ACT data: 2190 (858 new) 155 | * Number of schools with graduation rate: 6503 (437 new) 156 | * Number of schools with default rate: 5121 (5121 new) 157 | 158 | ###Migration/Rake: 159 | 1) Create backup table, copy current College table to backup 160 | 2) Create new columns in College table 161 | 3) Create new columns for US News 162 | 4) Run `rake colleges:populate` to populate rows 163 | -------------------------------------------------------------------------------- /diff-output/accred-vs-freebase.txt: -------------------------------------------------------------------------------- 1 | 101125 2 | 101231 3 | 101277 4 | 101444 5 | 101657 6 | 101903 7 | 102216 8 | 103440 9 | 104522 10 | 105242 11 | 105385 12 | 105419 13 | 105880 14 | 106050 15 | 106759 16 | 107257 17 | 107804 18 | 107840 19 | 108393 20 | 109095 21 | 109749 22 | 110176 23 | 110787 24 | 110936 25 | 112181 26 | 112516 27 | 112640 28 | 113166 29 | 113519 30 | 113591 31 | 113713 32 | 113865 33 | 113953 34 | 114886 35 | 114901 36 | 115047 37 | 115278 38 | 115384 39 | 115560 40 | 115940 41 | 116660 42 | 117797 43 | 118374 44 | 118383 45 | 118392 46 | 118417 47 | 118426 48 | 118435 49 | 118444 50 | 118453 51 | 118480 52 | 119085 53 | 119119 54 | 119128 55 | 119155 56 | 119711 57 | 120041 58 | 120333 59 | 120892 60 | 121114 61 | 121576 62 | 122250 63 | 122269 64 | 122676 65 | 122995 66 | 123907 67 | 124399 68 | 124432 69 | 124511 70 | 124919 71 | 125310 72 | 125505 73 | 125815 74 | 126535 75 | 128203 76 | 129136 77 | 129446 78 | 129880 79 | 130156 80 | 130165 81 | 130332 82 | 130457 83 | 130703 84 | 131380 85 | 131511 86 | 131566 87 | 131788 88 | 133517 89 | 133739 90 | 135221 91 | 136020 92 | 136154 93 | 136552 94 | 137467 95 | 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-------------------------------------------------------------------------------- /diff-output/freebase-vs-accred.txt: -------------------------------------------------------------------------------- 1 | 100733 2 | 101365 3 | 101569 4 | 102580 5 | 103529 6 | 103723 7 | 103732 8 | 103741 9 | 103909 10 | 103927 11 | 104364 12 | 104434 13 | 104443 14 | 104531 15 | 104586 16 | 105163 17 | 105172 18 | 105367 19 | 105543 20 | 106111 21 | 108056 22 | 108250 23 | 108852 24 | 109013 25 | 110185 26 | 110501 27 | 111726 28 | 111762 29 | 111771 30 | 111799 31 | 112312 32 | 112376 33 | 112817 34 | 113227 35 | 113607 36 | 114062 37 | 114390 38 | 114415 39 | 114831 40 | 115454 41 | 115472 42 | 115490 43 | 115515 44 | 115533 45 | 116466 46 | 116475 47 | 116484 48 | 116624 49 | 117681 50 | 117900 51 | 117928 52 | 118134 53 | 11835602 54 | 11835603 55 | 11835604 56 | 11835605 57 | 11835606 58 | 11835607 59 | 11835608 60 | 11835609 61 | 11835610 62 | 119058 63 | 120023 64 | 120740 65 | 121008 66 | 121178 67 | 121877 68 | 121983 69 | 122320 70 | 122694 71 | 122737 72 | 122782 73 | 123448 74 | 123925 75 | 124557 76 | 125019 77 | 125222 78 | 126100 79 | 126854 80 | 126924 81 | 127680 82 | 127699 83 | 128300 84 | 128337 85 | 129428 86 | 130882 87 | 132842 88 | 134149 89 | 134909 90 | 135063 91 | 135610 92 | 135771 93 | 135957 94 | 136011 95 | 136066 96 | 136206 97 | 137148 98 | 137801 99 | 138309 100 | 138594 101 | 138664 102 | 139533 103 | 140076 104 | 140340 105 | 141468 106 | 141963 107 | 142337 108 | 143181 109 | 143543 110 | 144500 111 | 144759 112 | 145707 113 | 145770 114 | 149240 115 | 149587 116 | 150978 117 | 150996 118 | 151005 119 | 151014 120 | 151023 121 | 151032 122 | 151041 123 | 151050 124 | 151069 125 | 151078 126 | 151087 127 | 151096 128 | 151157 129 | 151184 130 | 151193 131 | 151236 132 | 151245 133 | 151485 134 | 151494 135 | 151500 136 | 151616 137 | 151625 138 | 151652 139 | 151944 140 | 152424 141 | 153296 142 | 153409 143 | 153418 144 | 154767 145 | 155636 146 | 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443687 839 | 443696 840 | 443711 841 | 443739 842 | 443766 843 | 443784 844 | 443854 845 | 443872 846 | 443881 847 | 443890 848 | 443906 849 | 443915 850 | 443924 851 | 443997 852 | 444024 853 | 444033 854 | 444042 855 | 444060 856 | 444079 857 | 444088 858 | 444158 859 | 444167 860 | 444255 861 | 444282 862 | 444307 863 | 444389 864 | 444927 865 | 444990 866 | 445009 867 | 445072 868 | 445081 869 | 445090 870 | 445115 871 | 445124 872 | 445133 873 | 445142 874 | 445197 875 | 445212 876 | 445221 877 | 445230 878 | 445267 879 | 445276 880 | 445300 881 | 445319 882 | 445337 883 | 445346 884 | 445391 885 | 445407 886 | 445416 887 | 445434 888 | 445470 889 | 445504 890 | 445601 891 | 445610 892 | 445665 893 | 445683 894 | 445717 895 | 445744 896 | 445753 897 | 445814 898 | 445832 899 | 445920 900 | 445939 901 | 445984 902 | 446127 903 | 446154 904 | 446419 905 | 446677 906 | 446701 907 | 446710 908 | 446729 909 | 446738 910 | 446747 911 | 446756 912 | 446765 913 | 446783 914 | 446792 915 | 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1136 | 452461 1137 | 452504 1138 | 452522 1139 | 452540 1140 | 452559 1141 | 452665 1142 | 452692 1143 | 452771 1144 | 452780 1145 | 452823 1146 | 452948 1147 | 452957 1148 | 452966 1149 | 452984 1150 | 453127 1151 | 453163 1152 | 453215 1153 | 453297 1154 | 453303 1155 | 453455 1156 | 453464 1157 | 453473 1158 | 453482 1159 | 453507 1160 | 453552 1161 | 453570 1162 | 453613 1163 | 453631 1164 | 453640 1165 | 453677 1166 | 453747 1167 | 453774 1168 | 453923 1169 | 453932 1170 | 454041 1171 | 454069 1172 | 454157 1173 | 454175 1174 | 454209 1175 | 454218 1176 | 454227 1177 | 454236 1178 | 454245 1179 | 454263 1180 | 454281 1181 | 454290 1182 | 454306 1183 | 454315 1184 | 454324 1185 | 454333 1186 | 454342 1187 | 454351 1188 | 454360 1189 | 454379 1190 | 454388 1191 | 454397 1192 | 454403 1193 | 454421 1194 | 454449 1195 | 454458 1196 | 454467 1197 | 454476 1198 | 454485 1199 | 454494 1200 | 454500 1201 | 454519 1202 | 454528 1203 | 454546 1204 | 454555 1205 | 454573 1206 | 454582 1207 | 454625 1208 | 455390 1209 | 455433 1210 | 455460 1211 | 455479 1212 | 455488 1213 | 455497 1214 | 455503 1215 | 455549 1216 | 455558 1217 | 455585 1218 | 455594 1219 | 455600 1220 | 455619 1221 | 455628 1222 | 455646 1223 | 455655 1224 | 455664 1225 | 455673 1226 | 455682 1227 | 455716 1228 | 456010 1229 | 456038 1230 | 456056 1231 | 456117 1232 | 456126 1233 | 456135 1234 | 456144 1235 | 456153 1236 | 456171 1237 | 456199 1238 | 456205 1239 | 456250 1240 | 456269 1241 | 456278 1242 | 456296 1243 | 456302 1244 | 456311 1245 | 456320 1246 | 456339 1247 | 456348 1248 | 456357 1249 | 456366 1250 | 456375 1251 | 456393 1252 | 456409 1253 | 456418 1254 | 456427 1255 | 456436 1256 | 456445 1257 | 456481 1258 | 456490 1259 | 456506 1260 | 456515 1261 | 456551 1262 | 456560 1263 | 456588 1264 | 456597 1265 | 456612 1266 | 456621 1267 | 456630 1268 | 456667 1269 | 456719 1270 | 456728 1271 | 456737 1272 | 456746 1273 | 456755 1274 | 456764 1275 | 456773 1276 | 456782 1277 | 456791 1278 | 456807 1279 | 456816 1280 | 456825 1281 | 456834 1282 | 456852 1283 | 456861 1284 | 456889 1285 | 456898 1286 | 456922 1287 | 456931 1288 | 456959 1289 | 456977 1290 | 457004 1291 | 457022 1292 | 457031 1293 | 457068 1294 | 457077 1295 | 457095 1296 | 457101 1297 | 457110 1298 | 457129 1299 | 457208 1300 | 457280 1301 | 457518 1302 | 457660 1303 | 457882 1304 | 457934 1305 | 457989 1306 | 458177 1307 | 458186 1308 | 458195 1309 | 458201 1310 | 458210 1311 | 458229 1312 | 458238 1313 | 458247 1314 | 458256 1315 | 458274 1316 | 458283 1317 | 458292 1318 | 458308 1319 | 458317 1320 | 458326 1321 | 458335 1322 | 458344 1323 | 458353 1324 | 458362 1325 | 458371 1326 | 458380 1327 | 458399 1328 | 458405 1329 | 458414 1330 | 458423 1331 | 458432 1332 | 458441 1333 | 458469 1334 | 458478 1335 | 458487 1336 | 458496 1337 | 458502 1338 | 458511 1339 | 458520 1340 | 458548 1341 | 458557 1342 | 458575 1343 | 458584 1344 | 458593 1345 | 458609 1346 | 458618 1347 | 458627 1348 | 458636 1349 | 458645 1350 | 458654 1351 | 458663 1352 | 458690 1353 | 458706 1354 | 458715 1355 | 458724 1356 | 458733 1357 | 458742 1358 | 458751 1359 | 458760 1360 | 458779 1361 | 458797 1362 | 458803 1363 | 458812 1364 | 458821 1365 | 458830 1366 | 458849 1367 | 458858 1368 | 458867 1369 | 458876 1370 | 458885 1371 | 458894 1372 | 458900 1373 | 458919 1374 | 458928 1375 | 458937 1376 | 458946 1377 | 458955 1378 | 458964 1379 | 458973 1380 | 458982 1381 | 458991 1382 | 459000 1383 | 459019 1384 | 459028 1385 | 459037 1386 | 459046 1387 | 459055 1388 | 459064 1389 | 459073 1390 | 459082 1391 | 459091 1392 | 459107 1393 | 459259 1394 | 459268 1395 | 459383 1396 | 459505 1397 | 459587 1398 | 459596 1399 | 459602 1400 | 459611 1401 | 459620 1402 | 459639 1403 | 459648 1404 | 459657 1405 | 459666 1406 | 459675 1407 | 459684 1408 | 459693 1409 | 459709 1410 | 459718 1411 | 459727 1412 | 459745 1413 | 459824 1414 | 459833 1415 | 459842 1416 | 459851 1417 | 459860 1418 | 459879 1419 | 459888 1420 | 459897 1421 | 459903 1422 | 459912 1423 | 459921 1424 | 459930 1425 | 459958 1426 | 459967 1427 | 459976 1428 | 459985 1429 | 459994 1430 | 460002 1431 | 460011 1432 | 460020 1433 | 460039 1434 | 460048 1435 | 460093 1436 | 460109 1437 | 460118 1438 | 460127 1439 | 460136 1440 | 460145 1441 | 460172 1442 | 460181 1443 | 460206 1444 | 460215 1445 | 460330 1446 | 460349 1447 | 460358 1448 | 460367 1449 | 460376 1450 | 460400 1451 | 460419 1452 | 460428 1453 | 460437 1454 | 460446 1455 | 460455 1456 | 460473 1457 | 460482 1458 | 460491 1459 | 460507 1460 | 460516 1461 | 460525 1462 | 460534 1463 | 460543 1464 | 460570 1465 | 460589 1466 | 460598 1467 | 460604 1468 | 460613 1469 | 460631 1470 | 460640 1471 | 460659 1472 | 460668 1473 | 460677 1474 | 90000201137 1475 | -------------------------------------------------------------------------------- /datasets/ipeds_data_dictionary.html: -------------------------------------------------------------------------------- 1 |
DVIC01 - Percent admitted - total
Percent admitted - total 2 | 3 | If number of total applicants (APPLCN) > 0 4 | then Percent admitted total (DVIC01) = number of admissions-total(ADMSSN) divided by the total applicants(APPCLN) 5 | Ratios are converted to percentages and rounded to the nearest whole number.
Format
Data type:N
Field width:6
Variable format:Cont
Variable number:11023

Source
Var source:Derived - IPEDS, Fall 2012, Institutional Characteristics component
File title:Institutional Characteristics
Section title:Institutional Characteristics
Table name:DRVIC2012

 Maximum Minimum Mean Standard deviation
 100 0 66 19.78
GBA6RTT - Graduation rate - bachelor's degree within 6 years, total
6 | 7 | 6-year graduation rate of the subcohort of full-time, first-time students seeking a bachelor's or equivalent degree - 2005 Bachelors subcohort (4-year institutions) 8 | 9 | This rate is calculated as the total number of students completing a bachelor degree or equivalent within 6-years (150% of normal time) divided by the revised bachelor subcohort minus any allowable exclusions. 10 | 11 | The adjusted bachelor subcohort is defined by the variable GRTOTLT when GRTYPE=8 and the total students completing a bachelor's degree or equivalent within 6-years (150% of normal time) is GRTOTLT when GRTYPE=12(Table gr2012). 12 | 13 | BACHELOR'S OR EQUIVALENT DEGREE-SEEKING SUBCOHORT - In the GRS component of IPEDS, a cohort of students who were seeking a bachelor's or equivalent degree upon entry. 14 | 15 | Normal time to completion - The amount of time necessary for a student to complete all requirements for a degree or certificate according to the institution's catalog. This is typically 4 years (8 semesters or trimesters, or 12 quarters, excluding summer terms) for a bachelor's degree in a standard term-based institution 16 | Allowable exclusions - Those students who may be removed (deleted) from the GRS cohort according to the Student Right-to-Know legislation. These include students who died or were totally and permanently disabled; those who left school to serve in the armed forces; those who left to serve with a foreign aid service of the federal government, such as the Peace Corps; and those who left to serve on official church mission.
Format
Data type:N
Field width:5
Variable format:Cont
Variable number:81031

Source
Var source:Derived DFR - IPEDS, Spring 2013, Graduation Rates component
File title:Frequently used graduation rates
Section title:Frequently used graduation rates
Table name:DRVGR2012

 Maximum Minimum Mean Standard deviation
 100 0 46 22.90
SATVR25 - SAT Critical Reading 25th percentile score
If test scores are required for admission for first-time, degree/certificate-seeking undergraduate students, please provide the following information: the number and percentage of students submitting SAT/ACT scores and the 25th and 75th percentile scores for each test. Provide data for the most recent group of students for which data are available; include new students admitted the summer prior to that fall. 17 | (This is applicable to institutions that have no open admission policy for entering first-time undergraduate students ). 18 | 19 | 20 | SAT I Verbal 25th percentile score 21 | 22 | SAT (SCHOLASTIC APTITUDE TEST) - An examination administered by the Educational Testing Service and used to predict the facility with which an individual will progress in learning college-level academic subjects. 23 | 24 | FIRST-TIME STUDENT (UNDERGRADUATE) - A student attending any institution for the first time at the undergraduate level. Includes students enrolled in academic or occupational programs. Also includes students enrolled in the fall term who attended college for the first time in the prior summer term, and students who entered with advanced standing (college credits earned before graduation from high school). 25 | 26 | DEGREE/CERTIFICATE-SEEKING STUDENTS 27 | Students enrolled in courses for credit who are recognized by the institution as seeking a degree or formal award. At the undergraduate level, this is intended to include students enrolled in vocational or occupational programs.
Format
Data type:N
Field width:3
Variable format:Cont
Variable number:10631

Source
Var source:IPEDS, Fall 2012, Institutional Characteristics component
File title:Institutional Characteristics
Section title:Institutional Characteristics
Table name:IC2012

 Maximum Minimum Mean Standard deviation
 700 200 469 68.60
SATVR75 - SAT Critical Reading 75th percentile score
If test scores are required for admission for first-time, degree/certificate-seeking undergraduate students, please provide the following information: the number and percentage of students submitting SAT/ACT scores and the 25th and 75th percentile scores for each test. Provide data for the most recent group of students for which data are available; include new students admitted the summer prior to that fall. 28 | (This is applicable to institutions that have no open admission policy for entering first-time undergraduate students ). 29 | SAT I Verbal 75th percentile score 30 | 31 | SAT (SCHOLASTIC APTITUDE TEST) - An examination administered by the Educational Testing Service and used to predict the facility with which an individual will progress in learning college-level academic subjects. 32 | 33 | FIRST-TIME STUDENT (UNDERGRADUATE) - A student attending any institution for the first time at the undergraduate level. Includes students enrolled in academic or occupational programs. Also includes students enrolled in the fall term who attended college for the first time in the prior summer term, and students who entered with advanced standing (college credits earned before graduation from high school). 34 | 35 | DEGREE/CERTIFICATE-SEEKING STUDENTS 36 | Students enrolled in courses for credit who are recognized by the institution as seeking a degree or formal award. At the undergraduate level, this is intended to include students enrolled in vocational or occupational programs.
Format
Data type:N
Field width:3
Variable format:Cont
Variable number:10636

Source
Var source:IPEDS, Fall 2012, Institutional Characteristics component
File title:Institutional Characteristics
Section title:Institutional Characteristics
Table name:IC2012

 Maximum Minimum Mean Standard deviation
 800 385 580 70.38
SATMT25 - SAT Math 25th percentile score
If test scores are required for admission for first-time, degree/certificate-seeking undergraduate students, please provide the following information: the number and percentage of students submitting SAT/ACT scores and the 25th and 75th percentile scores for each test. Provide data for the most recent group of students for which data are available; include new students admitted the summer prior to that fall. 37 | (This is applicable to institutions that have no open admission policy for entering first-time undergraduate students ). 38 | SAT I Math 25th percentile score 39 | 40 | SAT (SCHOLASTIC APTITUDE TEST) - An examination administered by the Educational Testing Service and used to predict the facility with which an individual will progress in learning college-level academic subjects. 41 | 42 | FIRST-TIME STUDENT (UNDERGRADUATE) - A student attending any institution for the first time at the undergraduate level. Includes students enrolled in academic or occupational programs. Also includes students enrolled in the fall term who attended college for the first time in the prior summer term, and students who entered with advanced standing (college credits earned before graduation from high school). 43 | 44 | DEGREE/CERTIFICATE-SEEKING STUDENTS 45 | Students enrolled in courses for credit who are recognized by the institution as seeking a degree or formal award. At the undergraduate level, this is intended to include students enrolled in vocational or occupational programs.
Format
Data type:N
Field width:3
Variable format:Cont
Variable number:10641

Source
Var source:IPEDS, Fall 2012, Institutional Characteristics component
File title:Institutional Characteristics
Section title:Institutional Characteristics
Table name:IC2012

 Maximum Minimum Mean Standard deviation
 760 210 478 72.41
SATMT75 - SAT Math 75th percentile score
If test scores are required for admission for first-time, degree/certificate-seeking undergraduate students, please provide the following information: the number and percentage of students submitting SAT/ACT scores and the 25th and 75th percentile scores for each test. Provide data for the most recent group of students for which data are available; include new students admitted the summer prior to that fall. 46 | (This is applicable to institutions that have no open admission policy for entering first-time undergraduate students ). 47 | 48 | SAT I Math 75th percentile score 49 | 50 | SAT (SCHOLASTIC APTITUDE TEST) - An examination administered by the Educational Testing Service and used to predict the facility with which an individual will progress in learning college-level academic subjects. 51 | 52 | FIRST-TIME STUDENT (UNDERGRADUATE) - A student attending any institution for the first time at the undergraduate level. Includes students enrolled in academic or occupational programs. Also includes students enrolled in the fall term who attended college for the first time in the prior summer term, and students who entered with advanced standing (college credits earned before graduation from high school). 53 | 54 | DEGREE/CERTIFICATE-SEEKING STUDENTS 55 | Students enrolled in courses for credit who are recognized by the institution as seeking a degree or formal award. At the undergraduate level, this is intended to include students enrolled in vocational or occupational programs.
Format
Data type:N
Field width:3
Variable format:Cont
Variable number:10646

Source
Var source:IPEDS, Fall 2012, Institutional Characteristics component
File title:Institutional Characteristics
Section title:Institutional Characteristics
Table name:IC2012

 Maximum Minimum Mean Standard deviation
 800 370 588 71.23
SATWR25 - SAT Writing 25th percentile score
If test scores are required for admission for first-time, degree/certificate-seeking undergraduate students, please provide the following information: the number and percentage of students submitting SAT/ACT scores and the 25th and 75th percentile scores for each test. Provide data for the most recent group of students for which data are available; include new students admitted the summer prior to that fall. 56 | (This is applicable to institutions that have no open admission policy for entering first-time undergraduate students ). 57 | 58 | SAT I Writing 25th percentile score 59 | 60 | SAT (SCHOLASTIC APTITUDE TEST) - An examination administered by the Educational Testing Service and used to predict the facility with which an individual will progress in learning college-level academic subjects. 61 | 62 | FIRST-TIME STUDENT (UNDERGRADUATE) - A student attending any institution for the first time at the undergraduate level. Includes students enrolled in academic or occupational programs. Also includes students enrolled in the fall term who attended college for the first time in the prior summer term, and students who entered with advanced standing (college credits earned before graduation from high school). 63 | 64 | DEGREE/CERTIFICATE-SEEKING STUDENTS 65 | Students enrolled in courses for credit who are recognized by the institution as seeking a degree or formal award. At the undergraduate level, this is intended to include students enrolled in vocational or occupational programs.
Format
Data type:N
Field width:3
Variable format:Cont
Variable number:10643

Source
Var source:IPEDS, Fall 2012, Institutional Characteristics component
File title:Institutional Characteristics
Section title:Institutional Characteristics
Table name:IC2012

 Maximum Minimum Mean Standard deviation
 710 200 468 78.54
SATWR75 - SAT Writing 75th percentile score
If test scores are required for admission for first-time, degree/certificate-seeking undergraduate students, please provide the following information: the number and percentage of students submitting SAT/ACT scores and the 25th and 75th percentile scores for each test. Provide data for the most recent group of students for which data are available; include new students admitted the summer prior to that fall. 66 | (This is applicable to institutions that have no open admission policy for entering first-time undergraduate students ). 67 | SAT I Writing 75th percentile score 68 | 69 | SAT (SCHOLASTIC APTITUDE TEST) - An examination administered by the Educational Testing Service and used to predict the facility with which an individual will progress in learning college-level academic subjects. 70 | 71 | FIRST-TIME STUDENT (UNDERGRADUATE) - A student attending any institution for the first time at the undergraduate level. Includes students enrolled in academic or occupational programs. Also includes students enrolled in the fall term who attended college for the first time in the prior summer term, and students who entered with advanced standing (college credits earned before graduation from high school). 72 | 73 | DEGREE/CERTIFICATE-SEEKING STUDENTS 74 | Students enrolled in courses for credit who are recognized by the institution as seeking a degree or formal award. At the undergraduate level, this is intended to include students enrolled in vocational or occupational programs.
Format
Data type:N
Field width:3
Variable format:Cont
Variable number:10644

Source
Var source:IPEDS, Fall 2012, Institutional Characteristics component
File title:Institutional Characteristics
Section title:Institutional Characteristics
Table name:IC2012

 Maximum Minimum Mean Standard deviation
 800 390 575 77.25
-------------------------------------------------------------------------------- /accred-not-found.csv: -------------------------------------------------------------------------------- 1 | IPEDS ID,School Name,OPE ID 2 | 100636,Community College of the Air Force,"""01230800""" 3 | 101125,DCH Regional Medical Center, 4 | 101231,Gadsden Business College,"""00446200""" 5 | 101444,Huntsville Hospital, 6 | 101657,Pivot Point the Masters, 7 | 101903,Northwest-Shoals Community College - Phil Campbell, 8 | 102216,Southern Community College,"""01123700""" 9 | 103440,Sheldon Jackson College,"""00106200""" 10 | 104522,DeVoe College of Beauty,"""02173300""" 11 | 104984,Lamson College,"""02521500""" 12 | 105127,Maricopa Beauty College,"""02192300""" 13 | 105136,Maricopa Community College System Office,"""030722A1""" 14 | 105242,Mundus Institute,"""03004700""" 15 | 105385,"Paralegal Institute, Inc.", 16 | 105419,Empire Beauty School - Glendale,"""01234300""" 17 | 105880,Long Technical College - East Valley,"""02181300""" 18 | 106050,Metropolitan College,"""03081200""" 19 | 106607,Bee-Jay's Hairstyling Academy,"""02260400""" 20 | 106759,Creative School of Cosmetology,"""03212300""" 21 | 106838,De Luxe Beauty School,"""03116800""" 22 | 107257,Little Rock Job Corp Center, 23 | 107804,St. Vincent Infirmary Medical Center, 24 | 108199,Abram Friedman Occupational Center,"""00932500""" 25 | 108393,Academy Pacific Travel College,"""00760500""" 26 | 109095,American Graduate University, 27 | 109749,Associated Technical College,"""02553100""" 28 | 109891,Bridges Academy of Beauty,"""02180600""" 29 | 110051,Bethany University,"""00112100""" 30 | 110176,Brooks College,"""02065500""" 31 | 110787,Mountain Oaks Adult Education Center, 32 | 110936,California Coast University, 33 | 112516,National Polytechnic College of Science,"""01169600""" 34 | 112640,Morgan Hill Community Adult School, 35 | 112783,Western Beauty Institute,"""00722900""" 36 | 113166,Crenshaw-Washington Community Adult School, 37 | 113519,Deep Springs College, 38 | 113591,Kasson Adult School - Deuel Vocational Institution, 39 | 113713,Don Bosco Technical Institute,"""00915800""" 40 | 113865,East Los Angeles Occupational Center,"""01044500""" 41 | 113953,SDCCD Continuing Education,"""02241600""" 42 | 114372,Fashion Careers College,"""02234300""" 43 | 114886,Galen College of Medical and Dental Assistants,"""01202704""" 44 | 114895,Galen College of Medical and Dental Assistants,"""01202700""" 45 | 114901,Galen College of Medical and Dental Assistants,"""01202703""" 46 | 115047,Golden Gate Baptist Theological Seminary,"""00120400""" 47 | 115278,Grossmont Adult School `, 48 | 115287,Grossmont-Cuyamaca Community College District,"""001208A1""" 49 | 115384,Harbor Occupational Center,"""01037500""" 50 | 115560,Heartwood Institute, 51 | 115940,ICR Graduate School,"""666800""" 52 | 117797,Harbor - UCLA Medical Center,"""00431100""" 53 | 118374,Marinello School of Beauty - Inglewood,"""00745700""" 54 | 118383,Marinello School of Beauty - Whittier,"""00898100""" 55 | 118392,Marinello School of Beauty - Los Angeles,"""00745600""" 56 | 118417,Marinello School of Beauty - Reseda,"""00721000""" 57 | 118426,Marinello School of Beauty - North Hollywood,"""00725800""" 58 | 118435,Marinello School of Beauty - Ontario,"""01076800""" 59 | 118444,Marinello School of Beauty - San Diego,"""00722600""" 60 | 118453,Marinello School of Beauty - San Bernardino,"""00721900""" 61 | 118480,Marinello School of Beauty - West Covina,"""00720500""" 62 | 118709,Mennonite Brethren Biblical Seminary,"""01036800""" 63 | 119085,Montessori Teacher Education Center - San Francisco Bay Area, 64 | 119119,Montessori Center for Teacher Education, 65 | 119128,Montessori Western Teacher Training Program,"""03181300""" 66 | 119155,Moro Beauty College,"""02205700""" 67 | 119711,New College of California,"""01083100""" 68 | 120041,North Valley Occupational Center - Aviation Center, 69 | 120333,Opportunities Industrialization Center - West,"""03474700""" 70 | 120892,Pacoima Skills Center, 71 | 120944,Palmer College of Chiropractic-West,"""02184900""" 72 | 121114,Peninsula Hospital, 73 | 121576,Queen of the Holy Rosary College,"""03018900""" 74 | 122269,Salvation Army College for Officer Training at Crestmont, 75 | 122287,Samra University of Oriental Medicine,"""02619300""" 76 | 122676,San Joaquin General Hospital,"""001280A1""" 77 | 122995,Santa Monica Montessori Institute, 78 | 123907,St. Giles College, 79 | 124399,Travel and Trade Career Institute,"""00792600""" 80 | 124432,Travel University International,"""02359200""" 81 | 124511,Truck Marketing Institute, 82 | 124919,Vallecitos CET Inc,"""03455900""" 83 | 125301,Maxine Waters Employment Preparation Center,"""04049300""" 84 | 125505,West Valley Occupational Center,"""01057900""" 85 | 125815,William Howard Taft University, 86 | 126410,Boulder College of Massage Therapy,"""03013100""" 87 | 126535,Memorial Hospital, 88 | 128036,San Juan Basin Technical College,"""01073200""" 89 | 128203,Empire Beauty School - Westminster,"""02141100""" 90 | 128762,Butler Business School Inc,"""02115100""" 91 | 129136,Danbury Hospital, 92 | 129446,Hartford Conservatory,"""00906500""" 93 | 129640,Leon Institute of Hair Design,"""01291300""" 94 | 129880,Renasci Academy of Hair Inc,"""00887200""" 95 | 130156,Porter and Chester Institute - Enfield, 96 | 130165,Porter and Chester Institute - Watertown, 97 | 130271,Saint Basil College,"""00140800""" 98 | 130332,Hospital of St. Raphael, 99 | 130457,Stamford Health System, 100 | 130703,Westlawn Institute of Marine Technology, 101 | 131380,National Intelligence University, 102 | 131511,Harrison Center for Career Education,"""01266500""" 103 | 131566,Dudley Beauty College,"""02279200""" 104 | 131788,Southeastern University,"""00145600""" 105 | 133517,Educating Hands School of Massage, 106 | 133739,FlightSafety Academy,"""00848300""" 107 | 134875,ATI College of Health,"""02151100""" 108 | 135221,Lakeland Regional Medical Center, 109 | 135434,Margate School of Beauty Inc,"""02156300""" 110 | 136020,"National Training, Inc.", 111 | 136075,Fortis College - Tampa,"""02305700""" 112 | 136154,Core Institute, 113 | 136251,Orange Park International School of Beauty,"""04134900""" 114 | 136552,Poynter Institute for Media Studies, 115 | 136738,ATI Career Training Center - Miami,"""02293201""" 116 | 136747,ATI Career Training Center - Oakland Park,"""02293200""" 117 | 137467,St. Vincent's Medical Center, 118 | 137625,Suncoast II the Tampa Bay School of Massage Therapy LLC,"""02337000""" 119 | 137892,ATI Career Training Center - Fort Lauderdale,"""02215900""" 120 | 138877,Atlanta College of Art,"""00154900""" 121 | 139126,East Central Technical College,"""00918300""" 122 | 139515,Dekalb Medical Center, 123 | 139898,Everest Institute - Atlanta Downtown,"""02318600""" 124 | 140085,Middle Georgia Technical College,"""02508600""" 125 | 140191,Savannah River College,"""02205300""" 126 | 140304,Central Georgia Technical College,"""00576300""" 127 | 140809,Appalachian Technical College,"""00562005""" 128 | 141121,Swainsboro Technical College,"""03066500""" 129 | 141228,West Georgia Technical College,"""00561400""" 130 | 141307,Waycross College,"""02055000""" 131 | 141583,Hawaii Business College,"""02055100""" 132 | 141671,Hollywood Beauty College,"""00777500""" 133 | 141787,Transpacific Hawaii College, 134 | 141857,New York Technical Institute of Hawaii,"""03020800""" 135 | 142124,Career Beauty College,"""02210700""" 136 | 142966,American Health Information Management Association, 137 | 143075,The College of Office Technology,"""02337800""" 138 | 143321,Bloomington-Normal School of Radiography, 139 | 143507,Cannella School of Hair Design,"""02253000""" 140 | 143880,Career Colleges of Chicago,"""00854400""" 141 | 143969,Chicago Public Schools, 142 | 144616,Vee's School of Beauty Culture,"""03623300""" 143 | 144856,Du Quoin Beauty College,"""01260800""" 144 | 144917,"Edward Hines, Jr., VA Hospital", 145 | 145390,Hadley School for the Blind, 146 | 146214,John Amico's School of Hair Design,"""02166800""" 147 | 146968,McDonough District Hospital, 148 | 147350,Seton Montessori Institute, 149 | 147509,Music Institute of Chicago, 150 | 147518,NAES College,"""02286100""" 151 | 147758,Northwestern Memorial Hospital, 152 | 148432,Rockford Health System, 153 | 148919,Advocate Trinity Hospital,"""00418100""" 154 | 148973,Sparks College,"""00457100""" 155 | 149019,Springfield College in Illinois,"""00176100""" 156 | 149286,Swedish American Hospital, 157 | 150127,Ball Memorial Hospital,"""02347600""" 158 | 150525,Evansville Tri-State Beauty College,"""02118900""" 159 | 150640,Good Samaritan Hospital,"""00420300""" 160 | 151209,Harrison College - Muncie,"""03009700""" 161 | 152114,PJ's College of Cosmetology, 162 | 152187,PJ's College of Cosmetology - Indianapolis,"""02337203""" 163 | 152284,Reid Hospital and Health Care Services, 164 | 153038,Daytons School of Hair Design,"""00811600""" 165 | 153205,Denison Job Corps Center, 166 | 153676,Jennie Edmundson Memorial Hospital, 167 | 154299,Covenant Medical Center- Waterloo, 168 | 154411,Mercy Medical Center-North Iowa, 169 | 154484,Dayton School of Hair Design,"""02333200""" 170 | 154509,Vennard College,"""00189400""" 171 | 154633,Academy of Hair Design Inc,"""00868200""" 172 | 154651,American Institute of Baking,"""02303500""" 173 | 154819,Cutting Edge Hairstyling Academy,"""02196400""" 174 | 154943,Marinello School of Beauty - Overland Park,"""03450302""" 175 | 155265,Kansas City Ks Area Technical School,"""00192502""" 176 | 155478,Southwest Kansas Technical School,"""00817200""" 177 | 155609,Northeast Kansas Technical College,"""00192114""" 178 | 155946,Baker University School of Nursing,"""00190302""" 179 | 156611,E-Town Beauty School,"""02279800""" 180 | 156675,Ezell's Cosmetology School,"""03516500""" 181 | 156930,Jefferson Technical College,"""00696103""" 182 | 157094,King's Daughters' Medical Center, 183 | 157146,Lexington Beauty College,"""01240400""" 184 | 157173,Lexington Community College,"""00970700""" 185 | 157234,Louisville Bible College, 186 | 157395,Mr. Jim's College of Cosmetology,"""03103500""" 187 | 157641,St Joseph Healthcare, 188 | 158079,Alexandria Academy of Beauty Culture,"""02493400""" 189 | 158282,Bastrop Beauty School Inc,"""02263600""" 190 | 158769,Louisiana Technical College - Delta-Ouachita Campus,"""00548809""" 191 | 159258,Louisiana Technical College - Jefferson Campus,"""00548816""" 192 | 159267,Louisiana Technical College - West Jefferson Campus,"""00548841""" 193 | 159452,Lousiana Technical College, 194 | 159498,Ray's Faith Academy of Beauty Education, 195 | 159799,Moler Beauty College,"""00967400""" 196 | 159805,Moler Beauty College, 197 | 160144,Pat Goins Shreveport Beauty School,"""02323100""" 198 | 160250,Remington College - New Orleans Campus,"""02065100""" 199 | 160348,Ronnie & Dormans School of Hair Design,"""01261100""" 200 | 160436,Louisiana Technical College-Sidney N Collier Campus,"""00548834""" 201 | 160454,Louisiana Technical College-Slidell Campus,"""00548835""" 202 | 160603,Stevenson's Academy of Hair Design, 203 | 161059,Central Maine Medical Center,"""00630502""" 204 | 161378,Mercy Hospital,"""00577600""" 205 | 161624,Accutech Career Institute,"""02288900""" 206 | 161837,Baltimore Hebrew University Inc,"""00206000""" 207 | 161882,Baltimore International College,"""02314800""" 208 | 162025,Broadcasting Institute of Maryland,"""02148600""" 209 | 162618,Maryland General Hospital, 210 | 162672,Greater Baltimore Medical Center,"""01141700""" 211 | 162885,Institute for Advanced Montessori Studies (AMS), 212 | 164137,Uniformed Services University of the Health Sciences,"""02161000""" 213 | 164191,Washington Adventist Hospital, 214 | 164571,Atlantic Union College,"""00211900""" 215 | 165149,Butera School of Art,"""02063800""" 216 | 166610,Woods Hole Oceanographic Institution, 217 | 166814,Soldier's Home in Massachusetts, 218 | 167543,Kaplan Career Institute - Charlestown,"""00748800""" 219 | 168519,"Fiser's College of Cosmetology, LLC","""02068700""" 220 | 169813,Creative Hair School of Cosmetology,"""04055300""" 221 | 169956,Focus: HOPE Machinist Training Institute,"""02495800""" 222 | 170259,Henry Ford Hospital, 223 | 170286,Hillsdale College,"""00227200""" 224 | 170338,Howell College of Cosmetology,"""02594600""" 225 | 170693,Lewis College of Business,"""01239900""" 226 | 170824,Marquette General Hospital,"""02135000""" 227 | 172060,St. John Hospital & Medical Center, 228 | 172121,SS. Cyril & Methodius Seminary, 229 | 172398,"State College of Beauty, Inc", 230 | 172556,Virginia Farrell Beauty School,"""00973200""" 231 | 172574,Virginia Farrell Beauty School,"""01164600""" 232 | 172583,Virginia Farrell Beauty School,"""00973400""" 233 | 172769,William Beaumont Hospital, 234 | 172778,William Tyndale College,"""00225200""" 235 | 173018,Art Instruction Schools, 236 | 174002,Methodist Hospital, 237 | 174163,Minneapolis School of Anesthesia,"""00961500""" 238 | 174446,Dunwoody College of Technology, 239 | 174561,Pillsbury Baptist Bible College,"""02284500""" 240 | 174668,Rice Memorial Hospital, 241 | 174686,Ing'enue Beauty School,"""02543600""" 242 | 175148,Scot Lewis Schools,"""00972200""" 243 | 175175,Minneapolis Veterans Affairs Medical Center, 244 | 175476,Academy of Hair Design Seven,"""03001500""" 245 | 175713,Gibson's Barber and Beauty College,"""02554600""" 246 | 175917,Magnolia Bible College,"""02361200""" 247 | 176415,ICS the Wright Beauty College,"""02490200""" 248 | 176460,Wesley College,"""01146100""" 249 | 176497,Abbott Academy of Cosmetology Arts and Sciences,"""02311100""" 250 | 176734,Boonslick Technical Education Center,"""02090400""" 251 | 177074,Columbia Beauty Academy,"""02292400""" 252 | 177153,Chamberlain College of Nursing,"""00638500""" 253 | 177807,Kennett Career and Technology Center,"""02073600""" 254 | 177922,Cox Health Systems - School of Radiologic Technology,"""02068202""" 255 | 178031,Farmington Missouri Hospital Company, 256 | 178040,Martinez School of Cosmetology,"""02608300""" 257 | 178129,Metropolitan Community College - Kansas City,"""002484A1""" 258 | 178332,Class Act I School of Cosmetology,"""02608001""" 259 | 178563,Nichols Career Center,"""02066900""" 260 | 178998,Research Medical Center School of Nuclear Medical Technology,"""00639203""" 261 | 179025,Research Medical Center School of Radiologic Technology,"""00639202""" 262 | 179283,Saint Louis Community College,"""00247100""" 263 | 180124,The College of Coiffure Art,"""00946800""" 264 | 180142,Benefis Healthcare School of Radiologic Technology,"""00442500""" 265 | 180850,BryanLGH Medical Center/University of Kansas, 266 | 181011,Dana College,"""00254300""" 267 | 181163,Joseph's College Cosmetology, 268 | 181181,Joseph?s College of Cosmetology - Beatrice, 269 | 181206,Joseph?s College of Cosmetology - Hastings, 270 | 181251,Mary Lanning Memorial Hospital,"""00443100""" 271 | 181473,Joseph's College of Cosmetology, 272 | 181482,Joseph?s College of Cosmetology, 273 | 182485,Southern Nevada University of Cosmetology,"""02097100""" 274 | 182810,Franklin Pierce College-Graduate and Professional Studies,"""00257501""" 275 | 182883,Continental Academie of Hair Design,"""00849300""" 276 | 182944,McIntosh College,"""00473000""" 277 | 183707,Bayonne Medical Center School of Nursing, 278 | 183831,Brick Computer Science Institute,"""01191100""" 279 | 183901,Allied Medical and Technical Institute,"""02301900""" 280 | 184010,Raritan Bay Medical Center, 281 | 184038,Christ Hospital, 282 | 184135,Dover Business College - Clifton,"""01234600""" 283 | 184445,Englewood Hospital & Medical Center, 284 | 184922,Capital Health System School of Nursing,"""00473900""" 285 | 184986,Christ Hospital - Jersey City, 286 | 185235,Katharine Gibbs School,"""00750703""" 287 | 185244,Gibbs College,"""00750700""" 288 | 186025,Pascack Valley Hospital, 289 | 186797,St. Barnabas Medical Center, 290 | 186830,Harrison Career Institute - Delran,"""02186700""" 291 | 186849,Harrison Career Institute - Vineland,"""02586800""" 292 | 187268,Valley Hospital, 293 | 187514,Albuquerque Barber College,"""02496900""" 294 | 187587,Aladdin Beauty College #22,"""00988100""" 295 | 187675,Eddy County Beauty College,"""03014700""" 296 | 187754,Business Skills Institute-Las Cruces,"""02532900""" 297 | 188836,American Institute of Applied Science, 298 | 188924,Arnot Ogden Medical Center School of Radiologic Technology,"""00643502""" 299 | 189787,Caliber Training Institute,"""03172400""" 300 | 189802,St Vincent Catholic Medical Center New York-Brooklyn and Queens,"""01236400""" 301 | 189927,Peconic Bay Medical Center, 302 | 190187,Commercial Driver Training,"""02269600""" 303 | 190381,Cope Institute,"""02182100""" 304 | 191153,FEGS Trades and Business School,"""02332300""" 305 | 191384,Global Business Institute - Far Rockaway,"""02265200""" 306 | 191658,Holy Trinity Orthodox Seminary, 307 | 191870,Interboro Institute,"""00843500""" 308 | 192147,Katharine Gibbs School - New York City,"""00739800""" 309 | 192536,SUNY Downstate Medical Center,"""02118702""" 310 | 192855,Marymount College of Fordham University,"""00272206""" 311 | 192998,Merce Cunningham Studio,"""02506200""" 312 | 193043,Mercy Medical Center, 313 | 193496,Winthrop-University Hospital, 314 | 193566,National Tax Training School, 315 | 193812,New York Institute of Photography, 316 | 194107,New York Institute of Technology-Manhattan Campus,"""00278201""" 317 | 194204,Olean Business Institute,"""00900300""" 318 | 194383,Parsons the New School for Design, 319 | 194453,Phillips Hairstyling Institute,"""01207200""" 320 | 194709,Rabbinical Seminary of Adas Yereim,"""02349700""" 321 | 194727,Rabbi Isaac Elchanan Theological Seminary, 322 | 195137,Sage College of Albany,"""00281001""" 323 | 195614,South Nassau Communities Hospital, 324 | 195669,Faxton-St Luke's Healthcare School of Radiologic Technology,"""00506600""" 325 | 195818,St. Vincent's Hospital Manhattan, 326 | 195924,Suburban Technical School,"""01093000""" 327 | 196459,Taylor Business Institute,"""00482500""" 328 | 196644,Triple Cities School of Beauty Culture,"""00779000""" 329 | 196662,Troy School of Beauty Culture,"""00790400""" 330 | 197212,W.C.A. Hospital, 331 | 197920,Dudley Beauty College-Charlotte, 332 | 198589,Carolina Beauty College 8,"""02286300""" 333 | 198631,Hairstyling Institute of Charlotte Inc,"""02238700""" 334 | 199050,Moses Cone Health System, 335 | 199351,Presbyterian Hospital,"""00648200""" 336 | 199360,Presbyterian Hospital/Presbyterian Healthcare System, 337 | 199935,Wilkes Regional Medical Center, 338 | 200411,MeritCare Medical Center/MeritCare Health System, 339 | 200509,Trinity Hospital/Trinity Health, 340 | 200721,Adult Vocational Services,"""02512600""" 341 | 200794,Akron Machining Institute Inc,"""02345600""" 342 | 201070,College of Art Advertising,"""02261400""" 343 | 201229,Beatrice Academy of Beauty,"""02163900""" 344 | 201487,Vocational Guidance Services, 345 | 201779,Children's Hospital Medical Center, 346 | 201991,Ohio Academy - A Paul Mitchell Partner School,"""02077800""" 347 | 202019,Siegal College of Judaic Studies,"""01283800""" 348 | 202064,Cleveland Institute of Electronics,"""00521000""" 349 | 202189,Kaplan College - Columbus,"""01100500""" 350 | 202268,Community Hospital,"""00917200""" 351 | 203164,Cleveland Clinic Health System - Eastern Region, 352 | 203605,Laurel Oaks Career Development Campus, 353 | 203711,Live Oaks Career Development Campus, 354 | 203818,MedCentral College of Nursing,"""03586400""" 355 | 203854,Marietta Memorial Hospital,"""02235700""" 356 | 204167,Moore Universite' of Hair Design,"""01096200""" 357 | 204741,Ohio State School of Cosmetology & Experts Barber School,"""01182500""" 358 | 205197,Riggs Lemar Beauty College,"""00965800""" 359 | 205276,St. Elizabeth Health Center, 360 | 205319,Saint Mary Seminary and Graduate School of Theology,"""00406100""" 361 | 206057,Mercy Medical Center School of Radiology, 362 | 206756,Aladdin Beauty College #20,"""01096601""" 363 | 207634,Poteau Beauty College,"""03010300""" 364 | 207838,State Barber and Hair Design College,"""02177900""" 365 | 209393,Montessori Institute Northwest (AMI), 366 | 210410,GEORGE FOX EVANGELICAL SEMINARY, 367 | 210562,Albert Einstein Medical Center,"""01093200""" 368 | 210924,Armstrong County Memorial Hospital, 369 | 211112,Berean Institute,"""00782600""" 370 | 211185,Bradford Regional Medical Center,"""02126400""" 371 | 211246,Brandywine School of Nursing,"""00488700""" 372 | 211495,Center for Innovative Training and Education,"""03126000""" 373 | 211875,Crozer-Chester Medical Center, 374 | 211954,Delaware Valley Academy of Medical and Dental Assistants,"""02492500""" 375 | 212124,Palmer Theological Seminary of Eastern University,"""00326000""" 376 | 212364,Empire Beauty School - Pottstown,"""02523100""" 377 | 212407,Temple University Hospital - Episcopal, 378 | 212638,Geisinger Medical Center,"""01212200""" 379 | 212726,Gordon Phillips School of Beauty Culture,"""02063400""" 380 | 212744,Gordon Phillips School of Beauty Culture,"""00889100""" 381 | 213057,Pennsylvania School of Business,"""02255200""" 382 | 214005,METHODIST HOSPITAL,"""00709000""" 383 | 214227,Lehigh Valley College,"""00888900""" 384 | 214263,Nazareth Hospital School, 385 | 214315,Newport Business Institute,"""00490100""" 386 | 214908,PSC Academy Inc,"""02213400""" 387 | 215488,University of Pennsylvania Medical Center Presbyterian,"""00973700""" 388 | 215567,Punxy Beauty School,"""02544301""" 389 | 215789,St Joseph's Medical Center,"""02297100""" 390 | 215868,International Academy of Design and Technology - Pittsburgh,"""01021700""" 391 | 215895,Schuylkill Institute of Business Technology,"""02147800""" 392 | 215965,Heritage Valley Health System Sewickley Valley Hospital,"""00657600""" 393 | 216108,South Philadelphia Beauty Academy,"""02587800""" 394 | 216180,St Tikhon's Orthodox Theological Seminary,"""-2""" 395 | 216940,The Williamson Free School of Mechanical Trades, 396 | 216986,Newport Business Institute,"""00491400""" 397 | 217439,Rhode Island Hospital, 398 | 217545,Sawyer School - Pawtucket,"""01115900""" 399 | 217651,AnMed Health Medical Center, 400 | 217916,Columbia Beauty School,"""02310300""" 401 | 219134,SI TANKA UNIVERSITY-HURON CAMPUS,"""03019201""" 402 | 219329,Rapid City Regional Hospital, 403 | 220589,Lambuth University,"""00349800""" 404 | 220747,New Wave Hair Academy,"""02597600""" 405 | 220880,Methodist Healthcare, 406 | 220914,"Mid-America Baptist Theological Seminary, Germantown", 407 | 221175,Nashville General Hospital, 408 | 221306,Knox International 2000 Beauty College, 409 | 222141,S.W. School of business and Technbical Careers, 410 | 222682,American Commercial College,"""02200800""" 411 | 222691,American Commercial College - Abilene,"""01005700""" 412 | 222761,ATI Technical Training Center,"""01248200""" 413 | 223074,Memorial Hermann Baptist Hospital, 414 | 223357,Harris County Hospital Dist./Ben Taub General Hospital, 415 | 223870,Institute of Cosmetology & Esthetics,"""02572200""" 416 | 223913,Citizens Medical Center, 417 | 224208,The Criswell College, 418 | 224536,Careers Unlimited,"""03091200""" 419 | 225140,Gulf Coast Trades Center, 420 | 225469,Houston Montessori Center(AMS), 421 | 225715,International Schools, 422 | 225760,International Business College - Lubbock,"""02538900""" 423 | 225867,Austin Business College,"""02188600""" 424 | 226329,Lon Morris College,"""00358500""" 425 | 226709,Covenant Medical Center, 426 | 226790,MTI College of Business and Technology,"""02245200""" 427 | 227012,Montessori Teacher Education Institute - Houston, 428 | 227988,San Jacinto College District,"""00360900""" 429 | 228477,Southwestern Baptist Theological Seminary,"""00361700""" 430 | 229072,Texas Southmost College,"""00364300""" 431 | 229258,Tri-State Cosmetology Institute, 432 | 229638,International Renowned Beauty Academy,"""03731300""" 433 | 229984,Beau La Reine College of Beauty,"""01147900""" 434 | 230074,Certified Careers Institute,"""02572802""" 435 | 230092,College of Eastern Utah,"""00367600""" 436 | 230180,Evans Hairstyling College - Lindon, 437 | 230223,Premier Hair Academy,"""02557700""" 438 | 231192,Woodbury College,"""00368402""" 439 | 231350,The Apprentice School - Newport News Shipbuilding, 440 | 231402,Atlantic University, 441 | 231572,Braxton School,"""02567300""" 442 | 231642,MedSpa Careers Institute,"""02247200""" 443 | 231703,Christendom College, 444 | 232292,Hicks Academy of Beauty Culture,"""00995800""" 445 | 232353,Indian River Beauty Academy,"""03002200""" 446 | 232593,LOUISE OBICI MEMORIAL HOSPITAL,"""00859200""" 447 | 233189,Heritage Institute,"""02223100""" 448 | 233259,Virginia Theological Seminary, 449 | 233392,Riverside Regional Medical Center, 450 | 233462,Rockingham Memorial Hospital, 451 | 234313,"Winchester Medical Center, Inc.", 452 | 234526,Northwest Aviation College, 453 | 234960,Henry Cogswell College,"""02291700""" 454 | 235273,Professional Beauty School,"""02236801""" 455 | 236090,Northwest Baptist Seminary,"""01260100""" 456 | 236267,Phagans Orchards Beauty School,"""02345100""" 457 | 236300,Puget Sound Christian College,"""00499800""" 458 | 236461,Sakie International College of Cosmetology, 459 | 236559,Seattle Midwifery School,"""03361600""" 460 | 237224,Boone County Career and Technical, 461 | 237534,McDowell County Career and Technical Center, 462 | 237659,"Ohio Valley Medical Center, Inc.", 463 | 237808,St. Mary's Medical Center,"""00400600""" 464 | 237835,United Hospital Center, 465 | 238087,Wheeling Hospital, 466 | 238315,Bellin College/ Bellin Health School of Radiologic Technology,"""00610800""" 467 | 238421,Lakeside School of Massage Therapy,"""03007400""" 468 | 238564,University of Wisconsin - Milwaukee, 469 | 238652,Diesel Truck Driver Training School, 470 | 238883,Institute of Paper Science and Technology,"""001569A1""" 471 | 238971,Scientific College of Beauty and Barbering,"""00777400""" 472 | 239187,Mercy Medical Center/Affinity Health System,"""00611500""" 473 | 239530,Froedtert Memorial Lutheran Hospital, 474 | 239655,St. Joseph's Hospital, 475 | 239673,St. Luke's Medical Center, 476 | 239725,Madison Cosmetology College,"""01290600""" 477 | 239752,Saint Francis Seminary,"""00964100""" 478 | 239798,Franciscan Skemp Healthcare School of Anesthesia, 479 | 239965,Theda Clark Medical Center,"""00613100""" 480 | 241702,Colegio Tecnico Metropolitano,"""02097000""" 481 | 242060,Sistema Universitario Ana G Mendez,"""011719A1""" 482 | 242741,Puerto Rico Technical Junior College Inc,"""02566800""" 483 | 243382,Ramirez College of Business and Technology,"""01314800""" 484 | 243762,The University of Connecticut School of Medicine and Dentistry,"""00141708""" 485 | 243805,Ohr Somayach,"""02320100""" 486 | 243902,Gaither and Company Beauty College,"""02323800""" 487 | 244464,Hawai'i Theological Seminary,"""02321300""" 488 | 246026,Central Tech - Sapulpa, 489 | 246600,International Junior College Ponce College of Tech,"""02276403""" 490 | 247232,Health Enric -------------------------------------------------------------------------------- /us_news_parsed_2.csv: -------------------------------------------------------------------------------- 1 | College name,US News Key,Rank,Catgory,Acceptance rate,High school GPA,SAT 75th Percentile,ACT 75th Percentile University of Maine--Augusta,university-of-maine-augusta-6760,, Regional Colleges (North),93.37,,, University of Maine--Farmington,university-of-maine-farmington-2040,, Regional Colleges (North),87.45,,1095,25 University of Maine--Fort Kent,university-of-maine-fort-kent-2041,39, Regional Colleges (North),56.68,3,1000,21 University of Maine--Machias,university-of-maine-machias-2055,, National Liberal Arts Colleges,82.58,,1020,25 University of Maine--Presque Isle,university-of-maine-presque-isle-2033,41, Regional Colleges (North),79.89,,, University of Mary,university-of-mary-2992,86, Regional Universities (Midwest),75.22,,, University of Mary Hardin-Baylor,university-of-mary-hardin-baylor-3588,54, Regional Universities (West),93.23,,1120,25 University of Mary Washington,university-of-mary-washington-3746,13, Regional Universities (South),76.83,3.5,1230,27 University of Maryland--Baltimore,university-of-maryland-baltimore-2104,,,,,, University of Maryland--Baltimore County,university-of-maryland-baltimore-county-2105,158, National Universities,60.35,3.7,1320,29 University of Maryland--College Park,university-of-maryland-college-park-2103,62, National Universities,46.82,4,1410,0 University of Maryland--Eastern Shore,university-of-maryland-eastern-shore-2106,, Regional Universities (North),57.5,2.8,960,19 University of Maryland--University College,university-of-maryland-university-college-11644,, Regional Universities (North),99.97,,, University of Massachusetts--Amherst,university-of-massachusetts-amherst-2221,91, National Universities,62.55,3.7,1290,28 University of Massachusetts--Boston,university-of-massachusetts-boston-2222,, National Universities,61.39,3.2,1170,0 University of Massachusetts--Dartmouth,university-of-massachusetts-dartmouth-2210,87, Regional Universities (North),72.13,3.2,1160,25 University of Massachusetts--Lowell,university-of-massachusetts-lowell-2161,158, National Universities,65.81,3.3,1230,27 University of Medicine and Dentistry of New Jersey,university-of-medicine-and-dentistry-of-new-jersey-10394,,,,,, University of Memphis,university-of-memphis-3509,, National Universities,64.66,3.3,1160,25 University of Miami,university-of-miami-1536,47, National Universities,39.7,4,1420,32 University of Michigan--Ann Arbor,university-of-michigan-ann-arbor-9092,28, National Universities,36.55,3.8,1460,32 University of Michigan--Dearborn,university-of-michigan-dearborn-2326,36, Regional Universities (Midwest),60.5,3.6,0,0 University of Michigan--Flint,university-of-michigan-flint-2327,92, Regional Universities (Midwest),73.81,3.3,1390,25 University of Minnesota--Crookston,university-of-minnesota-crookston-4069,38, Regional Colleges (Midwest),72.62,3.2,1120,25 University of Minnesota--Duluth,university-of-minnesota-duluth-2388,42, Regional Universities (Midwest),77.69,3.4,1180,26 University of Minnesota--Morris,university-of-minnesota-morris-2389,154, National Liberal Arts Colleges,60.03,3.6,1320,28 University of Minnesota--Twin Cities,university-of-minnesota-twin-cities-3969,69, National Universities,49.51,,1430,30 University of Mississippi,university-of-mississippi-2440,150, National Universities,61.05,3.4,1200,27 University of Mississippi Medical Center,university-of-mississippi-medical-center-4688,,,,,, University of Missouri,university-of-missouri-2516,97, National Universities,81.46,,1290,28 University of Missouri--Kansas City,university-of-missouri-kansas-city-2518,201, National Universities,67.59,3.3,1380,27 University of Missouri--St. Louis,university-of-missouri-st-louis-2519,, National Universities,68.65,3.4,1270,27 University of Mobile,university-of-mobile-1029,27, Regional Colleges (South),80.35,3.5,1298,25 University of Montana,university-of-montana-2536,201, National Universities,95.35,3.3,1200,26 University of Montana--Western,university-of-montana-western-2537,17, Regional Colleges (West),75.21,3,1110,22 University of Montevallo,university-of-montevallo-1004,36, Regional Universities (South),87.29,3.3,0,0 University of Mount Union,university-of-mount-union-3083,6, Regional Colleges (Midwest),72.28,,1140,25 University of Nebraska Medical Center,university-of-nebraska-medical-center-6895,,,,,, University of Nebraska--Kearney,university-of-nebraska-kearney-2551,48, Regional Universities (Midwest),85.33,3.4,1190,25 University of Nebraska--Lincoln,university-of-nebraska-lincoln-2565,101, National Universities,64.37,,1340,29 University of Nebraska--Omaha,university-of-nebraska-omaha-2554,, National Universities,80.03,3.4,0,0 University of Nevada--Las Vegas,university-of-nevada-las-vegas-2569,, National Universities,88.18,3.2,1110,24 University of Nevada--Reno,university-of-nevada-reno-2568,181, National Universities,82.99,3.4,1180,26 University of New Brunswick,university-of-new-brunswick-CA0018,,,,,, University of New England,university-of-new-england-2050,87, Regional Universities (North),86.13,3.3,1160,26 University of New Hampshire,university-of-new-hampshire-2589,97, National Universities,77.94,,1200,27 University of New Haven,university-of-new-haven-1397,101, Regional Universities (North),71.47,3.3,1150,26 University of New Mexico,university-of-new-mexico-10313,181, National Universities,64.58,3.2,1210,25 University of New Orleans,university-of-new-orleans-2015,, National Universities,49.18,3.1,1255,25 University of North Alabama,university-of-north-alabama-1016,80, Regional Universities (South),78.5,3.1,1085,24 University of North Carolina School of the Arts,university-of-north-carolina-school-of-the-arts-3981,, Arts Schools,45.21,3.6,1240,26 University of North Carolina--Asheville,university-of-north-carolina-asheville-2907,146, National Liberal Arts Colleges,63.82,4,1290,27 University of North Carolina--Chapel Hill,university-of-north-carolina-chapel-hill-2974,30, National Universities,27.59,4,1400,32 University of North Carolina--Charlotte,university-of-north-carolina-charlotte-2975,201, National Universities,68.52,3.7,1160,25 University of North Carolina--Greensboro,university-of-north-carolina-greensboro-2976,190, National Universities,60,3.5,1120,22 University of North Carolina--Pembroke,university-of-north-carolina-pembroke-2954,80, Regional Universities (South),72.04,3.3,1010,20 University of North Carolina--Wilmington,university-of-north-carolina-wilmington-2984,15, Regional Universities (South),54.19,3.9,1250,26 University of North Dakota,university-of-north-dakota-3005,173, National Universities,73.7,3.3,0,0 University of North Florida,university-of-north-florida-9841,51, Regional Universities (South),52.01,3.7,1240,26 University of North Georgia,university-of-north-georgia-1585,55, Regional Universities (South),56.25,3.5,1200,26 University of North Texas,university-of-north-texas-3594,, National Universities,61.66,,1210,26 University of Northern Colorado,university-of-northern-colorado-1349,, National Universities,89.07,3.2,1170,25 University of Northern Iowa,university-of-northern-iowa-1890,13, Regional Universities (Midwest),77.51,3.5,0,0 University of Northwestern Ohio,university-of-northwestern-ohio-4861,, Regional Colleges (Midwest),,,, University of Northwestern--St. Paul,university-of-northwestern-st-paul-2371,13, Regional Colleges (Midwest),58.68,3.5,1283,27 University of Notre Dame,university-of-notre-dame-1840,18, National Universities,23.28,,1520,34 University of Oklahoma,university-of-oklahoma-3184,101, National Universities,79.14,3.6,1300,29 University of Oregon,university-of-oregon-3223,109, National Universities,74.17,3.6,1224,0 University of Ottawa,university-of-ottawa-CA0019,,,,,, University of Pennsylvania,university-of-pennsylvania-3378,7, National Universities,12.6,3.9,1540,34 University of Phoenix,university-of-phoenix-209885,, National Universities,,,, University of Pikeville,university-of-pikeville-1980,, National Liberal Arts Colleges,100,3.1,0,0 University of Pittsburgh,university-of-pittsburgh-3379,62, National Universities,56.13,3.9,1340,30 University of Portland,university-of-portland-3224,8, Regional Universities (West),66.52,3.6,1290,0 University of Prince Edward Island,university-of-prince-edward-island-CA0020,,,,,, University of Puerto Rico--Aguadilla,university-of-puerto-rico-aguadilla-12123,,,,,, University of Puerto Rico--Arecibo,university-of-puerto-rico-arecibo-7228,,,,,, University of Puerto Rico--Bayamon,university-of-puerto-rico-bayamon-10975,,,,,, University of Puerto Rico--Cayey,university-of-puerto-rico-cayey-7206,,,,,, University of Puerto Rico--Humacao,university-of-puerto-rico-humacao-3943,,,,,, University of Puerto Rico--Mayaguez,university-of-puerto-rico-mayaguez-3944,,,,,, University of Puerto Rico--Medical Sciences Campus,university-of-puerto-rico-medical-sciences-campus-24600,,,,,, University of Puerto Rico--Ponce,university-of-puerto-rico-ponce-9652,,,,,, University of Puerto Rico--Rio Piedras,university-of-puerto-rico-rio-piedras-7108,,,,,, University of Puget Sound,university-of-puget-sound-3797,76, National Liberal Arts Colleges,82.65,,1348,30 University of Redlands,university-of-redlands-1322,12, Regional Universities (West),68.85,3.6,1240,26 University of Regina,university-of-regina-CA0021,,,,,, University of Rhode Island,university-of-rhode-island-3414,152, National Universities,76.92,3.3,1180,26 University of Richmond,university-of-richmond-3744,25, National Liberal Arts Colleges,30.31,,1420,32 University of Rio Grande,university-of-rio-grande-3116,, Regional Universities (Midwest),43.75,,, University of Rochester,university-of-rochester-2894,32, National Universities,35.32,3.8,1440,32 University of San Diego,university-of-san-diego-10395,91, National Universities,42.59,3.9,1320,30 University of San Francisco,university-of-san-francisco-1325,117, National Universities,69.16,3.6,1250,27 University of Saskatchewan,university-of-saskatchewan-CA0022,,,,,, University of Science and Arts of Oklahoma,university-of-science-and-arts-of-oklahoma-3167,, National Liberal Arts Colleges,38.53,3.4,0,0 University of Scranton,university-of-scranton-3384,8, Regional Universities (North),68.81,3.4,1220,26 University of Sioux Falls,university-of-sioux-falls-3469,35, Regional Colleges (Midwest),55.5,3.4,1030,26 University of South Alabama,university-of-south-alabama-1057,, National Universities,87.19,3.4,1150,25 University of South Carolina,university-of-south-carolina-3448,112, National Universities,60.6,4,1290,29 University of South Carolina--Aiken,university-of-south-carolina-aiken-3449,23, Regional Colleges (South),51.24,3.6,1080,23 University of South Carolina--Beaufort,university-of-south-carolina-beaufort-3450,66, Regional Colleges (South),73.04,3.3,1030,0 University of South Carolina--Upstate,university-of-south-carolina-upstate-6951,29, Regional Colleges (South),64.21,2.5,1060,22 University of South Dakota,university-of-south-dakota-10300,190, National Universities,88.56,3.4,1230,26 University of South Florida,university-of-south-florida-1537,170, National Universities,43.2,3.9,1270,28 University of South Florida--St. Petersburg,university-of-south-florida-st-petersburg-153701,80, Regional Universities (South),45.84,3.6,1140,24 University of Southern California,university-of-southern-california-1328,23, National Universities,19.93,3.7,1480,33 University of Southern Indiana,university-of-southern-indiana-1808,, Regional Universities (Midwest),71.75,3.2,1110,24 University of Southern Maine,university-of-southern-maine-9762,, Regional Universities (North),82.8,,, University of Southern Mississippi,university-of-southern-mississippi-2441,, National Universities,64.74,3.2,1150,25 University of St. Francis,university-of-st-francis-1664,38, Regional Universities (Midwest),51.57,3.4,1080,25 University of St. Francis,university-of-st-francis-1832,86, Regional Universities (Midwest),50.98,3.2,1050,23 University of St. Joseph,university-of-st-joseph-1409,95, Regional Universities (North),79.53,3.3,1060,23 University of St. Mary,university-of-st-mary-1943,, Regional Universities (Midwest),46.66,3.2,1050,25 University of St. Thomas,university-of-st-thomas-2345,112, National Universities,86.67,3.6,1310,28 University of St. Thomas,university-of-st-thomas-3654,33, Regional Universities (West),79.95,3.6,1238,28 University of Tampa,university-of-tampa-1538,22, Regional Universities (South),58.95,3.3,1160,26 University of Tennessee,university-of-tennessee-3530,101, National Universities,67.32,3.9,1290,29 University of Tennessee--Chattanooga,university-of-tennessee-chattanooga-3529,49, Regional Universities (South),76.28,3.4,1150,25 University of Tennessee--Martin,university-of-tennessee-martin-3531,46, Regional Universities (South),75.55,3.5,0,0 University of Texas Health Science Center--Houston,university-of-texas-health-science-center-houston-4951,,,,,, University of Texas Health Science Center--San Antonio,university-of-texas-health-science-center-san-antonio-3659,,,,,, University of Texas Medical Branch--Galveston,university-of-texas-medical-branch-galveston-4952,,,,,, University of Texas of the Permian Basin,university-of-texas-of-the-permian-basin-9930,90, Regional Universities (West),86.4,,1120,23 University of Texas--Arlington,university-of-texas-arlington-3656,, National Universities,58.53,,1200,26 University of Texas--Austin,university-of-texas-austin-3658,52, National Universities,46.75,,1380,31 University of Texas--Brownsville,university-of-texas-brownsville-30646,, Regional Universities (West),100,2.8,, University of Texas--Dallas,university-of-texas-dallas-9741,142, National Universities,51.97,3.9,1390,31 University of Texas--El Paso,university-of-texas-el-paso-3661,, National Universities,99.81,3.2,1030,22 University of Texas--Pan American,university-of-texas-pan-american-3599,75, Regional Universities (West),62.17,,1050,21 University of Texas--San Antonio,university-of-texas-san-antonio-10115,, National Universities,73.27,,1160,25 University of Texas--Tyler,university-of-texas-tyler-11163,66, Regional Universities (West),79.52,3.4,1170,25 University of the Arts,university-of-the-arts-3350,, Arts Schools,69.28,2.9,1120,26 University of the Cumberlands,university-of-the-cumberlands-1962,84, Regional Universities (South),69.02,3.3,1030,23 University of the District of Columbia,university-of-the-district-of-columbia-29100,, Regional Universities (North),43.46,,, University of the Incarnate Word,university-of-the-incarnate-word-3578,71, Regional Universities (West),94.13,3.5,1080,23 University of the Ozarks,university-of-the-ozarks-1094,6, Regional Colleges (South),90.96,,1156,25 University of the Pacific,university-of-the-pacific-1329,112, National Universities,37.78,3.5,1340,29 University of the Sacred Heart,university-of-the-sacred-heart-3937,,,,,, University of the Sciences,university-of-the-sciences-3353,,,,3.6,1260,27 University of the Southwest,university-of-the-southwest-2650,, Regional Colleges (West),53.56,,, University of the Virgin Islands,university-of-the-virgin-islands-3946,,,,2.7,860,17 University of the West,university-of-the-west-36963,, Regional Colleges (West),,,, University of Toledo,university-of-toledo-3131,, National Universities,94.79,3.2,1160,25 University of Toronto,university-of-toronto-CA0023,,,,,, University of Tulsa,university-of-tulsa-3185,86, National Universities,40.72,3.8,1410,31 University of Utah,university-of-utah-3675,121, National Universities,82.63,3.6,1270,27 University of Vermont,university-of-vermont-3696,82, National Universities,76.65,,1290,29 University of Victoria,university-of-victoria-CA0024,,,,,, University of Virginia,university-of-virginia-6968,23, National Universities,29.55,4,1460,32 University of Virginia--Wise,university-of-virginia-wise-3747,, National Liberal Arts Colleges,82.9,3.3,1050,23 University of Washington,university-of-washington-3798,52, National Universities,59.15,3.8,1350,30 University of Waterloo,university-of-waterloo-CA0025,,,,,, University of West Alabama,university-of-west-alabama-1024,, Regional Universities (South),48.56,,, University of West Florida,university-of-west-florida-3955,, National Universities,60.81,3.4,1090,25 University of West Georgia,university-of-west-georgia-1601,89, Regional Universities (South),55.77,3.1,1030,21 University of Windsor,university-of-windsor-CA0027,,,,,, University of Winnipeg,university-of-winnipeg-CA0011,,,,,, University of Wisconsin--Eau Claire,university-of-wisconsin-eau-claire-3917,30, Regional Universities (Midwest),76.29,,1280,26 University of Wisconsin--Green Bay,university-of-wisconsin-green-bay-3899,65, Regional Universities (Midwest),64.01,3.3,0,0 University of Wisconsin--La Crosse,university-of-wisconsin-la-crosse-3919,26, Regional Universities (Midwest),70.99,,1193,28 University of Wisconsin--Madison,university-of-wisconsin-madison-3895,41, National Universities,54.56,3.8,1400,30 University of Wisconsin--Milwaukee,university-of-wisconsin-milwaukee-3896,, National Universities,71.36,3.1,0,0 University of Wisconsin--Oshkosh,university-of-wisconsin-oshkosh-9630,65, Regional Universities (Midwest),68.47,3.3,0,0 University of Wisconsin--Parkside,university-of-wisconsin-parkside-5015,, National Liberal Arts Colleges,57.09,2.9,0,0 University of Wisconsin--Platteville,university-of-wisconsin-platteville-3921,72, Regional Universities (Midwest),80.03,,0,0 University of Wisconsin--River Falls,university-of-wisconsin-river-falls-3923,72, Regional Universities (Midwest),74.53,3.3,0,0 University of Wisconsin--Stevens Point,university-of-wisconsin-stevens-point-3924,42, Regional Universities (Midwest),74.71,3.4,1200,25 University of Wisconsin--Stout,university-of-wisconsin-stout-3915,57, Regional Universities (Midwest),80.25,3.1,0,0 University of Wisconsin--Superior,university-of-wisconsin-superior-3925,92, Regional Universities (Midwest),76.02,,0,0 University of Wisconsin--Whitewater,university-of-wisconsin-whitewater-3926,42, Regional Universities (Midwest),73.02,3.2,1170,24 University of Wyoming,university-of-wyoming-3932,161, National Universities,95.69,3.5,1240,27 Upper Iowa University,upper-iowa-university-1893,, Regional Universities (Midwest),62.07,3.2,0,0 Urbana University,urbana-university-3133,, Regional Colleges (Midwest),64.37,,, Ursinus College,ursinus-college-3385,82, National Liberal Arts Colleges,69.78,,1310,29 Ursuline College,ursuline-college-3134,53, Regional Universities (Midwest),58.09,3.2,980,22 Utah State University,utah-state-university-3677,190, National Universities,96.74,3.5,1240,27 Utah Valley University,utah-valley-university-4027,, Regional Colleges (West),100,3.3,1090,24 Utica College,utica-college-2883,116, Regional Universities (North),81.35,3,1060,24 Valdosta State University,valdosta-state-university-1599,69, Regional Universities (South),59.24,3.1,1110,23 Valley City State University,valley-city-state-university-3008,43, Regional Colleges (Midwest),81.2,3.1,1020,22 Valley Forge Christian College,valley-forge-christian-college-3306,, Regional Colleges (North),72.15,,1120,25 Valparaiso University,valparaiso-university-1842,6, Regional Universities (Midwest),79.62,3.6,1220,29 Vanderbilt University,vanderbilt-university-3535,17, National Universities,14.23,3.8,1560,34 VanderCook College of Music,vandercook-college-of-music-1778,, Arts Schools,64.81,3.3,1297,28 Vanguard University of Southern California,vanguard-university-of-southern-california-1293,10, Regional Colleges (West),68.53,,1090,24 Vassar College,vassar-college-2895,13, National Liberal Arts Colleges,22.84,3.8,1490,32 Vaughn College of Aeronautics and Technology,vaughn-college-of-aeronautics-and-technology-2665,24, Regional Colleges (North),85.48,2.9,1094,24 Vermont Technical College,vermont-technical-college-3698,33, Regional Colleges (North),62.79,3,1060,23 Victory University,victory-university-9982,, Regional Colleges (South),31.09,,, Villanova University,villanova-university-3388,1, Regional Universities (North),45.62,3.9,1390,31 Vincennes University,vincennes-university-1843,, Regional Colleges (Midwest),,,, Virginia Commonwealth University,virginia-commonwealth-university-3735,167, National Universities,60.24,3.6,1210,26 Virginia Intermont College,virginia-intermont-college-3752,, National Liberal Arts Colleges,98.95,3.2,1070,23 Virginia Military Institute,virginia-military-institute-3753,65, National Liberal Arts Colleges,46.28,3.5,1240,27 Virginia State University,virginia-state-university-3764,84, Regional Universities (South),70.7,,, Virginia Tech,virginia-tech-3754,69, National Universities,70.38,,1320,0 Virginia Union University,virginia-union-university-3766,53, Regional Colleges (South),88.26,2.7,860,17 Virginia Wesleyan College,virginia-wesleyan-college-3767,176, National Liberal Arts Colleges,85.84,3.3,1110,24 Viterbo University,viterbo-university-3911,, Regional Universities (Midwest),77.89,,, Voorhees College,voorhees-college-3455,, Regional Colleges (South),50.61,,, Wabash College,wabash-college-1844,57, National Liberal Arts Colleges,67.02,3.6,1275,28 Wagner College,wagner-college-2899,24, Regional Universities (North),71.91,3.6,1270,27 Wake Forest University,wake-forest-university-2978,23, National Universities,33.97,,1410,31 Walden University,walden-university-25042,, National Universities,96.35,,, Waldorf College,waldorf-college-1895,, Regional Colleges (Midwest),56.73,,, Walla Walla University,walla-walla-university-3799,38, Regional Universities (West),74.39,3.5,1190,27 Walsh College of Accountancy and Business Administration,walsh-college-of-accountancy-and-business-administration-4071,, Business Schools,,,, Walsh University,walsh-university-3135,48, Regional Universities (Midwest),77.67,3.4,1140,25 Warner Pacific College,warner-pacific-college-3225,9, Regional Colleges (West),57.76,3.2,1120,24 Warner University,warner-university-8848,, Regional Universities (South),49.53,3,950,21 Warren Wilson College,warren-wilson-college-2979,167, National Liberal Arts Colleges,72.03,3.5,1240,28 Wartburg College,wartburg-college-1896,146, National Liberal Arts Colleges,70.41,3.5,1145,26 Washburn University,washburn-university-1949,77, Regional Universities (Midwest),95.51,3.3,0,0 Washington Adventist University,washington-adventist-university-2067,, Regional Colleges (North),32.71,,990,21 Washington and Jefferson College,washington-and-jefferson-college-3389,97, National Liberal Arts Colleges,40.76,3.3,1230,28 Washington and Lee University,washington-and-lee-university-3768,14, National Liberal Arts Colleges,19.47,,1480,32 Washington College,washington-college-2108,107, National Liberal Arts Colleges,66.37,3.5,1250,27 Washington State University,washington-state-university-3800,128, National Universities,76.01,3.3,1170,25 Washington University in St. Louis,washington-university-in-st-louis-2520,14, National Universities,17.88,,1560,34 "Watkins College of Art, Design & Film",watkins-college-of-art-design-film-392840,, Arts Schools,,,, Wayland Baptist University,wayland-baptist-university-3663,, Regional Universities (West),96.58,3.2,1090,23 Wayne State College,wayne-state-college-2566,72, Regional Universities (Midwest),100,3.2,0,0 Wayne State University,wayne-state-university-2329,, National Universities,80.54,3.3,0,0 Waynesburg University,waynesburg-university-3391,87, Regional Universities (North),76.41,3.5,1110,26 Webb Institute,webb-institute-2900,, Engineering Schools,37.8,4,1490,0 Webber International University,webber-international-university-1540,, Regional Colleges (South),68.9,3,1020,21 Weber State University,weber-state-university-3680,80, Regional Universities (West),100,3.2,0,0 Webster University,webster-university-2521,21, Regional Universities (Midwest),59.09,3.5,1250,27 Welch College,welch-college-30018,53, Regional Colleges (South),66.22,3.8,1110,24 Wellesley College,wellesley-college-2224,7, National Liberal Arts Colleges,30.13,,1480,32 Wells College,wells-college-2901,141, National Liberal Arts Colleges,62.68,,, Wentworth Institute of Technology,wentworth-institute-of-technology-29099,12, Regional Colleges (North),60.92,3,1190,26 Wesley College,wesley-college-1433,38, Regional Colleges (North),62.6,2.7,945,23 Wesleyan College,wesleyan-college-1600,161, National Liberal Arts Colleges,50.21,3.4,1115,22 Wesleyan University,wesleyan-university-1424,17, National Liberal Arts Colleges,20.92,3.7,1480,33 West Chester University of Pennsylvania,west-chester-university-of-pennsylvania-3328,74, Regional Universities (North),49.88,3.5,1160,0 West Liberty University,west-liberty-university-3823,60, Regional Colleges (South),72.42,3.3,980,23 West Texas A&M University,west-texas-am-university-3665,80, Regional Universities (West),69.41,,1080,23 West Virginia State University,west-virginia-state-university-3826,, National Liberal Arts Colleges,89.74,,1060,22 West Virginia University,west-virginia-university-3827,170, National Universities,85.1,3.4,1140,26 West Virginia University Institute of Technology,west-virginia-university-institute-of-technology-3825,,,,3.3,1080,24 West Virginia University--Parkersburg,west-virginia-university-parkersburg-3828,, Regional Colleges (South),,,, West Virginia Wesleyan College,west-virginia-wesleyan-college-3830,14, Regional Colleges (South),77.54,3.4,1090,25 Western Carolina University,western-carolina-university-2981,39, Regional Universities (South),37.67,3.6,1130,24 Western Connecticut State University,western-connecticut-state-university-1380,, Regional Universities (North),58.96,3,1080,0 Western Governors University,western-governors-university-33394,, Regional Universities (West),,,, Western Illinois University,western-illinois-university-1780,48, Regional Universities (Midwest),62.76,3,0,0 Western International University,western-international-university-29241,, Regional Universities (West),,,, Western Kentucky University,western-kentucky-university-2002,30, Regional Universities (South),92.32,3.1,1150,25 Western Michigan University,western-michigan-university-2330,181, National Universities,83.33,3.3,0,0 Western Nevada College,western-nevada-college-10363,, Regional Colleges (West),,,, Western New England University,western-new-england-university-2226,60, Regional Universities (North),78.97,3.3,1170,26 Western New Mexico University,western-new-mexico-university-2664,, Regional Universities (West),100,,, Western Oregon University,western-oregon-university-3209,80, Regional Universities (West),88.35,3.2,1090,22 Western State Colorado University,western-state-colorado-university-1372,, National Liberal Arts Colleges,95.58,3.1,1118,25 Western University,western-university-CA0026,,,,3.7,, Western Washington University,western-washington-university-3802,22, Regional Universities (West),79.65,3.5,1230,28 Westfield State University,westfield-state-university-2189,123, Regional Universities (North),64.24,3.1,1110,24 Westminster College,westminster-college-2523,146, National Liberal Arts Colleges,71.9,3.4,1160,27 Westminster College,westminster-college-3392,115, National Liberal Arts Colleges,56.32,3.5,1190,26 Westminster College,westminster-college-3681,22, Regional Universities (West),69.5,3.5,1233,27 Westmont College,westmont-college-1341,94, National Liberal Arts Colleges,66.04,3.9,1310,29 Wheaton College,wheaton-college-1781,57, National Liberal Arts Colleges,68.71,3.7,1420,32 Wheaton College,wheaton-college-2227,65, National Liberal Arts Colleges,64.34,3.5,1320,30 Wheeling Jesuit University,wheeling-jesuit-university-3831,6, Regional Colleges (South),62.81,3.4,1100,25 Wheelock College,wheelock-college-2228,69, Regional Universities (North),69.22,3,1090,25 Whitman College,whitman-college-3803,41, National Liberal Arts Colleges,48.63,3.8,1440,32 Whittier College,whittier-college-1342,126, National Liberal Arts Colleges,63.59,3.4,1180,25 Whitworth University,whitworth-university-3804,9, Regional Universities (West),52.28,3.8,1310,29 Wichita State University,wichita-state-university-1950,, National Universities,95.22,3.4,1165,26 Widener University,widener-university-3313,181, National Universities,65.52,3.4,1120,24 Wilberforce University,wilberforce-university-3141,, Regional Colleges (Midwest),,,, Wiley College,wiley-college-3669,, Regional Colleges (West),77.04,2.6,840,18 Wilkes University,wilkes-university-3394,74, Regional Universities (North),75.98,,1170,0 Willamette University,willamette-university-3227,61, National Liberal Arts Colleges,60.43,3.7,1340,30 William Carey University,william-carey-university-2447,36, Regional Universities (South),39.74,,1080,26 William Jessup University,william-jessup-university-1281,,,,3.4,1140,24 William Jewell College,william-jewell-college-2524,146, National Liberal Arts Colleges,60.91,3.7,1210,28 William Paterson University of New Jersey,william-paterson-university-of-new-jersey-2625,101, Regional Universities (North),60.76,3.1,1100,0 William Peace University,william-peace-university-2953,, National Liberal Arts Colleges,60.99,3.1,1000,24 William Penn University,william-penn-university-1900,, Regional Colleges (Midwest),62.36,,, William Woods University,william-woods-university-2525,86, Regional Universities (Midwest),79.95,,, Williams Baptist College,williams-baptist-college-1106,51, Regional Colleges (South),62.29,,0,0 Williams College,williams-college-2229,1, National Liberal Arts Colleges,17.02,,1560,34 Wilmington College,wilmington-college-3142,43, Regional Colleges (Midwest),90.74,,, Wilmington University,wilmington-university-7948,, National Universities,99.91,,, Wilson College,wilson-college-3396,16, Regional Colleges (North),62.15,3.4,1100,24 Wingate University,wingate-university-2985,41, Regional Universities (South),80.89,3.3,1120,25 Winona State University,winona-state-university-2394,65, Regional Universities (Midwest),61.7,3.3,0,0 Winston-Salem State University,winston-salem-state-university-2986,62, Regional Universities (South),55.65,3.2,960,19 Winthrop University,winthrop-university-3456,25, Regional Universities (South),70.69,3.8,1150,25 Wisconsin Lutheran College,wisconsin-lutheran-college-21366,, National Liberal Arts Colleges,67.72,3.4,1285,26 Wittenberg University,wittenberg-university-3143,123, National Liberal Arts Colleges,91.16,3.4,1240,28 Wofford College,wofford-college-3457,65, National Liberal Arts Colleges,62.72,3.6,1350,28 Woodbury University,woodbury-university-1343,48, Regional Universities (West),65.36,3.2,1080,24 Worcester Polytechnic Institute,worcester-polytechnic-institute-2233,62, National Universities,52.55,3.8,1390,32 Worcester State University,worcester-state-university-2190,, Regional Universities (North),68.14,3.1,1090,23 Wright State University,wright-state-university-9168,, National Universities,68.65,3.1,1150,24 Xavier University,xavier-university-3144,4, Regional Universities (Midwest),67.7,3.6,1200,28 Xavier University of Louisiana,xavier-university-of-louisiana-2032,161, National Liberal Arts Colleges,63.51,3.3,980,22 Yale University,yale-university-1426,3, National Universities,7.05,,1590,35 Yeshiva University,yeshiva-university-2903,47, National Universities,83.97,3.5,1360,28 York College,york-college-2567,, Regional Colleges (Midwest),56.46,,990,25 York College of Pennsylvania,york-college-of-pennsylvania-3399,98, Regional Universities (North),73.9,3.5,1130,24 York University,york-university-CA0028,,,,,, Youngstown State University,youngstown-state-university-3145,, Regional Universities (Midwest),86.74,2.8,1080,23 --------------------------------------------------------------------------------