url <- "https://github.com/fivethirtyeight/data/blob/master/college-majors/recent-grads.csv?raw=true"
college_majors <- read.csv(url)college_majors <- read.csv(url)
college_majors## Rank Major_code
## 1 1 2419
## 2 2 2416
## 3 3 2415
## 4 4 2417
## 5 5 2405
## 6 6 2418
## 7 7 6202
## 8 8 5001
## 9 9 2414
## 10 10 2408
## 11 11 2407
## 12 12 2401
## 13 13 2404
## 14 14 5008
## 15 15 2409
## 16 16 2402
## 17 17 2412
## 18 18 2400
## 19 19 2403
## 20 20 3201
## 21 21 2102
## 22 22 1104
## 23 23 2502
## 24 24 2413
## 25 25 6212
## 26 26 2406
## 27 27 5601
## 28 28 6204
## 29 29 2499
## 30 30 5402
## 31 31 2410
## 32 32 2500
## 33 33 6099
## 34 34 2411
## 35 35 6107
## 36 36 6207
## 37 37 5501
## 38 38 6205
## 39 39 2503
## 40 40 5102
## 41 41 6201
## 42 42 3700
## 43 43 2100
## 44 44 5007
## 45 45 6105
## 46 46 2105
## 47 47 3702
## 48 48 3701
## 49 49 3607
## 50 50 5006
## 51 51 2501
## 52 52 6104
## 53 53 4005
## 54 54 2101
## 55 55 4006
## 56 56 2303
## 57 57 5505
## 58 58 6200
## 59 59 1401
## 60 60 6210
## 61 61 6108
## 62 62 3603
## 63 63 6299
## 64 64 1101
## 65 65 1100
## 66 66 2599
## 67 67 2504
## 68 68 3605
## 69 69 5599
## 70 70 6403
## 71 71 5205
## 72 72 1102
## 73 73 5000
## 74 74 3801
## 75 75 5003
## 76 76 5701
## 77 77 6203
## 78 78 6206
## 79 79 5506
## 80 80 5504
## 81 81 3606
## 82 82 2106
## 83 83 3601
## 84 84 3602
## 85 85 2107
## 86 86 5004
## 87 87 6209
## 88 88 3202
## 89 89 6199
## 90 90 5401
## 91 91 5005
## 92 92 5206
## 93 93 1301
## 94 94 1901
## 95 95 5301
## 96 96 6004
## 97 97 1902
## 98 98 5098
## 99 99 1904
## 100 100 1501
## 101 101 2310
## 102 102 3608
## 103 103 5503
## 104 104 4002
## 105 105 6103
## 106 106 2001
## 107 107 5901
## 108 108 1303
## 109 109 3611
## 110 110 4000
## 111 111 5002
## 112 112 1302
## 113 113 1106
## 114 114 2300
## 115 115 6402
## 116 116 2602
## 117 117 4001
## 118 118 2311
## 119 119 6110
## 120 120 2305
## 121 121 2301
## 122 122 6106
## 123 123 3699
## 124 124 3600
## 125 125 5507
## 126 126 1903
## 127 127 6109
## 128 128 6211
## 129 129 2313
## 130 130 2601
## 131 131 2399
## 132 132 4007
## 133 133 3604
## 134 134 2309
## 135 135 6100
## 136 136 4801
## 137 137 2314
## 138 138 3301
## 139 139 2304
## 140 140 4101
## 141 141 3401
## 142 142 6005
## 143 143 5500
## 144 144 1105
## 145 145 2308
## 146 146 5200
## 147 147 6002
## 148 148 2306
## 149 149 6006
## 150 150 6000
## 151 151 2901
## 152 152 5404
## 153 153 1103
## 154 154 6003
## 155 155 2312
## 156 156 5299
## 157 157 5403
## 158 158 3402
## 159 159 4901
## 160 160 6007
## 161 161 2201
## 162 162 1199
## 163 163 5502
## 164 164 6102
## 165 165 2307
## 166 166 2603
## 167 167 6001
## 168 168 3302
## 169 169 3609
## 170 170 5201
## 171 171 5202
## 172 172 5203
## 173 173 3501
## Major Total
## 1 PETROLEUM ENGINEERING 2339
## 2 MINING AND MINERAL ENGINEERING 756
## 3 METALLURGICAL ENGINEERING 856
## 4 NAVAL ARCHITECTURE AND MARINE ENGINEERING 1258
## 5 CHEMICAL ENGINEERING 32260
## 6 NUCLEAR ENGINEERING 2573
## 7 ACTUARIAL SCIENCE 3777
## 8 ASTRONOMY AND ASTROPHYSICS 1792
## 9 MECHANICAL ENGINEERING 91227
## 10 ELECTRICAL ENGINEERING 81527
## 11 COMPUTER ENGINEERING 41542
## 12 AEROSPACE ENGINEERING 15058
## 13 BIOMEDICAL ENGINEERING 14955
## 14 MATERIALS SCIENCE 4279
## 15 ENGINEERING MECHANICS PHYSICS AND SCIENCE 4321
## 16 BIOLOGICAL ENGINEERING 8925
## 17 INDUSTRIAL AND MANUFACTURING ENGINEERING 18968
## 18 GENERAL ENGINEERING 61152
## 19 ARCHITECTURAL ENGINEERING 2825
## 20 COURT REPORTING 1148
## 21 COMPUTER SCIENCE 128319
## 22 FOOD SCIENCE NA
## 23 ELECTRICAL ENGINEERING TECHNOLOGY 11565
## 24 MATERIALS ENGINEERING AND MATERIALS SCIENCE 2993
## 25 MANAGEMENT INFORMATION SYSTEMS AND STATISTICS 18713
## 26 CIVIL ENGINEERING 53153
## 27 CONSTRUCTION SERVICES 18498
## 28 OPERATIONS LOGISTICS AND E-COMMERCE 11732
## 29 MISCELLANEOUS ENGINEERING 9133
## 30 PUBLIC POLICY 5978
## 31 ENVIRONMENTAL ENGINEERING 4047
## 32 ENGINEERING TECHNOLOGIES 3600
## 33 MISCELLANEOUS FINE ARTS 3340
## 34 GEOLOGICAL AND GEOPHYSICAL ENGINEERING 720
## 35 NURSING 209394
## 36 FINANCE 174506
## 37 ECONOMICS 139247
## 38 BUSINESS ECONOMICS 13302
## 39 INDUSTRIAL PRODUCTION TECHNOLOGIES 4631
## 40 NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES 2116
## 41 ACCOUNTING 198633
## 42 MATHEMATICS 72397
## 43 COMPUTER AND INFORMATION SYSTEMS 36698
## 44 PHYSICS 32142
## 45 MEDICAL TECHNOLOGIES TECHNICIANS 15914
## 46 INFORMATION SCIENCES 11913
## 47 STATISTICS AND DECISION SCIENCE 6251
## 48 APPLIED MATHEMATICS 4939
## 49 PHARMACOLOGY 1762
## 50 OCEANOGRAPHY 2418
## 51 ENGINEERING AND INDUSTRIAL MANAGEMENT 2906
## 52 MEDICAL ASSISTING SERVICES 11123
## 53 MATHEMATICS AND COMPUTER SCIENCE 609
## 54 COMPUTER PROGRAMMING AND DATA PROCESSING 4168
## 55 COGNITIVE SCIENCE AND BIOPSYCHOLOGY 3831
## 56 SCHOOL STUDENT COUNSELING 818
## 57 INTERNATIONAL RELATIONS 28187
## 58 GENERAL BUSINESS 234590
## 59 ARCHITECTURE 46420
## 60 INTERNATIONAL BUSINESS 25894
## 61 PHARMACY PHARMACEUTICAL SCIENCES AND ADMINISTRATION 23551
## 62 MOLECULAR BIOLOGY 18300
## 63 MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION 17947
## 64 AGRICULTURE PRODUCTION AND MANAGEMENT 14240
## 65 GENERAL AGRICULTURE 10399
## 66 MISCELLANEOUS ENGINEERING TECHNOLOGIES 8804
## 67 MECHANICAL ENGINEERING RELATED TECHNOLOGIES 4790
## 68 GENETICS 3635
## 69 MISCELLANEOUS SOCIAL SCIENCES 3283
## 70 UNITED STATES HISTORY 3079
## 71 INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY 3014
## 72 AGRICULTURAL ECONOMICS 2439
## 73 PHYSICAL SCIENCES 1436
## 74 MILITARY TECHNOLOGIES 124
## 75 CHEMISTRY 66530
## 76 ELECTRICAL, MECHANICAL, AND PRECISION TECHNOLOGIES AND PRODUCTION 2435
## 77 BUSINESS MANAGEMENT AND ADMINISTRATION 329927
## 78 MARKETING AND MARKETING RESEARCH 205211
## 79 POLITICAL SCIENCE AND GOVERNMENT 182621
## 80 GEOGRAPHY 18480
## 81 MICROBIOLOGY 15232
## 82 COMPUTER ADMINISTRATION MANAGEMENT AND SECURITY 8066
## 83 BIOCHEMICAL SCIENCES 39107
## 84 BOTANY 1329
## 85 COMPUTER NETWORKING AND TELECOMMUNICATIONS 7613
## 86 GEOLOGY AND EARTH SCIENCE 10972
## 87 HUMAN RESOURCES AND PERSONNEL MANAGEMENT 24497
## 88 PRE-LAW AND LEGAL STUDIES 13528
## 89 MISCELLANEOUS HEALTH MEDICAL PROFESSIONS 13386
## 90 PUBLIC ADMINISTRATION 5629
## 91 GEOSCIENCES 1978
## 92 SOCIAL PSYCHOLOGY 1386
## 93 ENVIRONMENTAL SCIENCE 25965
## 94 COMMUNICATIONS 213996
## 95 CRIMINAL JUSTICE AND FIRE PROTECTION 152824
## 96 COMMERCIAL ART AND GRAPHIC DESIGN 103480
## 97 JOURNALISM 72619
## 98 MULTI-DISCIPLINARY OR GENERAL SCIENCE 62052
## 99 ADVERTISING AND PUBLIC RELATIONS 53162
## 100 AREA ETHNIC AND CIVILIZATION STUDIES 31195
## 101 SPECIAL NEEDS EDUCATION 28739
## 102 PHYSIOLOGY 22060
## 103 CRIMINOLOGY 19879
## 104 NUTRITION SCIENCES 18909
## 105 HEALTH AND MEDICAL ADMINISTRATIVE SERVICES 18109
## 106 COMMUNICATION TECHNOLOGIES 18035
## 107 TRANSPORTATION SCIENCES AND TECHNOLOGIES 15150
## 108 NATURAL RESOURCES MANAGEMENT 13773
## 109 NEUROSCIENCE 13663
## 110 MULTI/INTERDISCIPLINARY STUDIES 12296
## 111 ATMOSPHERIC SCIENCES AND METEOROLOGY 4043
## 112 FORESTRY 3607
## 113 SOIL SCIENCE 685
## 114 GENERAL EDUCATION 143718
## 115 HISTORY 141951
## 116 FRENCH GERMAN LATIN AND OTHER COMMON FOREIGN LANGUAGE STUDIES 48246
## 117 INTERCULTURAL AND INTERNATIONAL STUDIES 24650
## 118 SOCIAL SCIENCE OR HISTORY TEACHER EDUCATION 20198
## 119 COMMUNITY AND PUBLIC HEALTH 19735
## 120 MATHEMATICS TEACHER EDUCATION 14237
## 121 EDUCATIONAL ADMINISTRATION AND SUPERVISION 804
## 122 HEALTH AND MEDICAL PREPARATORY PROGRAMS 12740
## 123 MISCELLANEOUS BIOLOGY 10706
## 124 BIOLOGY 280709
## 125 SOCIOLOGY 115433
## 126 MASS MEDIA 52824
## 127 TREATMENT THERAPY PROFESSIONS 48491
## 128 HOSPITALITY MANAGEMENT 43647
## 129 LANGUAGE AND DRAMA EDUCATION 30471
## 130 LINGUISTICS AND COMPARATIVE LANGUAGE AND LITERATURE 16601
## 131 MISCELLANEOUS EDUCATION 10150
## 132 INTERDISCIPLINARY SOCIAL SCIENCES 9916
## 133 ECOLOGY 9154
## 134 SECONDARY TEACHER EDUCATION 17125
## 135 GENERAL MEDICAL AND HEALTH SERVICES 33599
## 136 PHILOSOPHY AND RELIGIOUS STUDIES 54814
## 137 ART AND MUSIC EDUCATION 34181
## 138 ENGLISH LANGUAGE AND LITERATURE 194673
## 139 ELEMENTARY EDUCATION 170862
## 140 PHYSICAL FITNESS PARKS RECREATION AND LEISURE 125074
## 141 LIBERAL ARTS 71369
## 142 FILM VIDEO AND PHOTOGRAPHIC ARTS 38761
## 143 GENERAL SOCIAL SCIENCES 12920
## 144 PLANT SCIENCE AND AGRONOMY 7416
## 145 SCIENCE AND COMPUTER TEACHER EDUCATION 6483
## 146 PSYCHOLOGY 393735
## 147 MUSIC 60633
## 148 PHYSICAL AND HEALTH EDUCATION TEACHING 28213
## 149 ART HISTORY AND CRITICISM 21030
## 150 FINE ARTS 74440
## 151 FAMILY AND CONSUMER SCIENCES 58001
## 152 SOCIAL WORK 53552
## 153 ANIMAL SCIENCES 21573
## 154 VISUAL AND PERFORMING ARTS 16250
## 155 TEACHER EDUCATION: MULTIPLE LEVELS 14443
## 156 MISCELLANEOUS PSYCHOLOGY 9628
## 157 HUMAN SERVICES AND COMMUNITY ORGANIZATION 9374
## 158 HUMANITIES 6652
## 159 THEOLOGY AND RELIGIOUS VOCATIONS 30207
## 160 STUDIO ARTS 16977
## 161 COSMETOLOGY SERVICES AND CULINARY ARTS 10510
## 162 MISCELLANEOUS AGRICULTURE 1488
## 163 ANTHROPOLOGY AND ARCHEOLOGY 38844
## 164 COMMUNICATION DISORDERS SCIENCES AND SERVICES 38279
## 165 EARLY CHILDHOOD EDUCATION 37589
## 166 OTHER FOREIGN LANGUAGES 11204
## 167 DRAMA AND THEATER ARTS 43249
## 168 COMPOSITION AND RHETORIC 18953
## 169 ZOOLOGY 8409
## 170 EDUCATIONAL PSYCHOLOGY 2854
## 171 CLINICAL PSYCHOLOGY 2838
## 172 COUNSELING PSYCHOLOGY 4626
## 173 LIBRARY SCIENCE 1098
## Men Women Major_category ShareWomen Sample_size
## 1 2057 282 Engineering 0.12056434 36
## 2 679 77 Engineering 0.10185185 7
## 3 725 131 Engineering 0.15303738 3
## 4 1123 135 Engineering 0.10731320 16
## 5 21239 11021 Engineering 0.34163050 289
## 6 2200 373 Engineering 0.14496697 17
## 7 2110 1667 Business 0.44135557 51
## 8 832 960 Physical Sciences 0.53571429 10
## 9 80320 10907 Engineering 0.11955890 1029
## 10 65511 16016 Engineering 0.19645026 631
## 11 33258 8284 Engineering 0.19941264 399
## 12 12953 2105 Engineering 0.13979280 147
## 13 8407 6548 Engineering 0.43784687 79
## 14 2949 1330 Engineering 0.31082028 22
## 15 3526 795 Engineering 0.18398519 30
## 16 6062 2863 Engineering 0.32078431 55
## 17 12453 6515 Engineering 0.34347322 183
## 18 45683 15469 Engineering 0.25295984 425
## 19 1835 990 Engineering 0.35044248 26
## 20 877 271 Law & Public Policy 0.23606272 14
## 21 99743 28576 Computers & Mathematics 0.22269500 1196
## 22 NA NA Agriculture & Natural Resources NA 36
## 23 8181 3384 Engineering 0.29260700 97
## 24 2020 973 Engineering 0.32509188 22
## 25 13496 5217 Business 0.27879015 278
## 26 41081 12072 Engineering 0.22711794 565
## 27 16820 1678 Industrial Arts & Consumer Services 0.09071251 295
## 28 7921 3811 Business 0.32483805 156
## 29 7398 1735 Engineering 0.18997044 118
## 30 2639 3339 Law & Public Policy 0.55854801 55
## 31 2662 1385 Engineering 0.34222881 26
## 32 2695 905 Engineering 0.25138889 39
## 33 1970 1370 Arts 0.41017964 30
## 34 488 232 Engineering 0.32222222 5
## 35 21773 187621 Health 0.89601899 2554
## 36 115030 59476 Business 0.34082496 2189
## 37 89749 49498 Social Science 0.35546906 1322
## 38 7575 5727 Business 0.43053676 199
## 39 3477 1154 Engineering 0.24919024 73
## 40 528 1588 Physical Sciences 0.75047259 31
## 41 94519 104114 Business 0.52415258 2042
## 42 39956 32441 Computers & Mathematics 0.44809868 541
## 43 27392 9306 Computers & Mathematics 0.25358330 425
## 44 23080 9062 Physical Sciences 0.28193641 142
## 45 3916 11998 Health 0.75392736 190
## 46 9005 2908 Computers & Mathematics 0.24410308 158
## 47 2960 3291 Computers & Mathematics 0.52647576 37
## 48 2794 2145 Computers & Mathematics 0.43429844 45
## 49 515 1247 Biology & Life Science 0.70771850 3
## 50 752 1666 Physical Sciences 0.68899917 36
## 51 2400 506 Engineering 0.17412251 29
## 52 803 10320 Health 0.92780725 67
## 53 500 109 Computers & Mathematics 0.17898194 7
## 54 3046 1122 Computers & Mathematics 0.26919386 43
## 55 1667 2164 Biology & Life Science 0.56486557 25
## 56 119 699 Education 0.85452323 4
## 57 10345 17842 Social Science 0.63298684 219
## 58 132238 102352 Business 0.43630163 2380
## 59 25463 20957 Engineering 0.45146489 362
## 60 10624 15270 Business 0.58971190 260
## 61 8697 14854 Health 0.63071632 38
## 62 7426 10874 Biology & Life Science 0.59420765 90
## 63 10285 7662 Business 0.42692372 244
## 64 9658 4582 Agriculture & Natural Resources 0.32176966 273
## 65 6053 4346 Agriculture & Natural Resources 0.41792480 158
## 66 7043 1761 Engineering 0.20002272 125
## 67 4419 371 Engineering 0.07745303 71
## 68 1761 1874 Biology & Life Science 0.51554333 11
## 69 1499 1784 Social Science 0.54340542 28
## 70 1756 1323 Humanities & Liberal Arts 0.42968496 22
## 71 1075 1939 Psychology & Social Work 0.64333112 24
## 72 1749 690 Agriculture & Natural Resources 0.28290283 44
## 73 894 542 Physical Sciences 0.37743733 10
## 74 124 0 Industrial Arts & Consumer Services 0.00000000 4
## 75 32923 33607 Physical Sciences 0.50514054 353
## 76 1869 566 Industrial Arts & Consumer Services 0.23244353 37
## 77 173809 156118 Business 0.47318952 4212
## 78 78857 126354 Business 0.61572723 2684
## 79 93880 88741 Social Science 0.48592988 1387
## 80 11404 7076 Social Science 0.38290043 179
## 81 6383 8849 Biology & Life Science 0.58094800 62
## 82 6607 1459 Computers & Mathematics 0.18088272 103
## 83 18951 20156 Biology & Life Science 0.51540645 174
## 84 626 703 Biology & Life Science 0.52896915 9
## 85 5291 2322 Computers & Mathematics 0.30500460 97
## 86 5813 5159 Physical Sciences 0.47019687 78
## 87 6184 18313 Business 0.74756093 264
## 88 4435 9093 Law & Public Policy 0.67216144 92
## 89 1589 11797 Health 0.88129389 81
## 90 2947 2682 Law & Public Policy 0.47646118 46
## 91 809 1169 Physical Sciences 0.59100101 18
## 92 413 973 Psychology & Social Work 0.70202020 8
## 93 10787 15178 Biology & Life Science 0.58455613 225
## 94 70619 143377 Communications & Journalism 0.66999851 2394
## 95 80231 72593 Law & Public Policy 0.47501047 1728
## 96 32041 71439 Arts 0.69036529 1186
## 97 23736 48883 Communications & Journalism 0.67314339 843
## 98 27015 35037 Physical Sciences 0.56463933 427
## 99 12862 40300 Communications & Journalism 0.75806027 681
## 100 8739 22456 Humanities & Liberal Arts 0.71985895 249
## 101 2682 26057 Education 0.90667734 246
## 102 8422 13638 Biology & Life Science 0.61822303 99
## 103 10031 9848 Social Science 0.49539715 214
## 104 2563 16346 Health 0.86445608 118
## 105 4266 13843 Health 0.76442653 184
## 106 11431 6604 Computers & Mathematics 0.36617688 208
## 107 13257 1893 Industrial Arts & Consumer Services 0.12495049 180
## 108 8617 5156 Agriculture & Natural Resources 0.37435562 152
## 109 4944 8719 Biology & Life Science 0.63814682 53
## 110 2817 9479 Interdisciplinary 0.77090111 128
## 111 2744 1299 Physical Sciences 0.32129607 32
## 112 3156 451 Agriculture & Natural Resources 0.12503465 48
## 113 476 209 Agriculture & Natural Resources 0.30510949 4
## 114 26893 116825 Education 0.81287661 919
## 115 78253 63698 Humanities & Liberal Arts 0.44873231 1058
## 116 12835 35411 Humanities & Liberal Arts 0.73396758 342
## 117 8575 16075 Humanities & Liberal Arts 0.65212982 184
## 118 9950 10248 Education 0.50737697 157
## 119 4103 15632 Health 0.79209526 130
## 120 3872 10365 Education 0.72803259 123
## 121 280 524 Education 0.65174129 5
## 122 5521 7219 Health 0.56664050 31
## 123 4747 5959 Biology & Life Science 0.55660377 63
## 124 111762 168947 Biology & Life Science 0.60185815 1370
## 125 32510 82923 Social Science 0.71836477 1024
## 126 24704 28120 Communications & Journalism 0.53233379 590
## 127 13487 35004 Health 0.72186591 224
## 128 15204 28443 Business 0.65165991 546
## 129 3741 26730 Education 0.87722753 235
## 130 4416 12185 Humanities & Liberal Arts 0.73399193 88
## 131 3654 6496 Education 0.64000000 126
## 132 2337 7579 Social Science 0.76432029 95
## 133 3878 5276 Biology & Life Science 0.57636006 86
## 134 6820 10305 Education 0.60175183 156
## 135 7574 26025 Health 0.77457662 202
## 136 31967 22847 Humanities & Liberal Arts 0.41680957 375
## 137 10732 23449 Education 0.68602440 338
## 138 58227 136446 Humanities & Liberal Arts 0.70089843 1436
## 139 13029 157833 Education 0.92374548 1629
## 140 62181 62893 Industrial Arts & Consumer Services 0.50284631 1014
## 141 22339 49030 Humanities & Liberal Arts 0.68699295 569
## 142 22357 16404 Arts 0.42320890 331
## 143 5079 7841 Social Science 0.60688855 113
## 144 4897 2519 Agriculture & Natural Resources 0.33967098 110
## 145 2049 4434 Education 0.68394262 59
## 146 86648 307087 Psychology & Social Work 0.77993320 2584
## 147 29909 30724 Arts 0.50672076 419
## 148 15670 12543 Education 0.44458229 259
## 149 3240 17790 Humanities & Liberal Arts 0.84593438 204
## 150 24786 49654 Arts 0.66703385 623
## 151 5166 52835 Industrial Arts & Consumer Services 0.91093257 518
## 152 5137 48415 Psychology & Social Work 0.90407454 374
## 153 5347 16226 Agriculture & Natural Resources 0.75214388 255
## 154 4133 12117 Arts 0.74566154 132
## 155 2734 11709 Education 0.81070415 142
## 156 1936 7692 Psychology & Social Work 0.79891982 60
## 157 885 8489 Psychology & Social Work 0.90558993 89
## 158 2013 4639 Humanities & Liberal Arts 0.69738424 49
## 159 18616 11591 Humanities & Liberal Arts 0.38371901 310
## 160 4754 12223 Arts 0.71997408 182
## 161 4364 6146 Industrial Arts & Consumer Services 0.58477640 117
## 162 404 1084 Agriculture & Natural Resources 0.72849462 24
## 163 11376 27468 Humanities & Liberal Arts 0.70713624 247
## 164 1225 37054 Health 0.96799812 95
## 165 1167 36422 Education 0.96895368 342
## 166 3472 7732 Humanities & Liberal Arts 0.69011068 56
## 167 14440 28809 Arts 0.66611945 357
## 168 7022 11931 Humanities & Liberal Arts 0.62950456 151
## 169 3050 5359 Biology & Life Science 0.63729338 47
## 170 522 2332 Psychology & Social Work 0.81709881 7
## 171 568 2270 Psychology & Social Work 0.79985906 13
## 172 931 3695 Psychology & Social Work 0.79874622 21
## 173 134 964 Education 0.87795993 2
## Employed Full_time Part_time Full_time_year_round Unemployed
## 1 1976 1849 270 1207 37
## 2 640 556 170 388 85
## 3 648 558 133 340 16
## 4 758 1069 150 692 40
## 5 25694 23170 5180 16697 1672
## 6 1857 2038 264 1449 400
## 7 2912 2924 296 2482 308
## 8 1526 1085 553 827 33
## 9 76442 71298 13101 54639 4650
## 10 61928 55450 12695 41413 3895
## 11 32506 30315 5146 23621 2275
## 12 11391 11106 2724 8790 794
## 13 10047 9017 2694 5986 1019
## 14 3307 2751 878 1967 78
## 15 3608 2999 811 2004 23
## 16 6170 5455 1983 3413 589
## 17 15604 14879 2243 11326 699
## 18 44931 41235 7199 33540 2859
## 19 2575 2277 343 1848 170
## 20 930 808 223 808 11
## 21 102087 91485 18726 70932 6884
## 22 3149 2558 1121 1735 338
## 23 8587 7530 1873 5681 824
## 24 2449 1658 1040 1151 70
## 25 16413 15141 2420 13017 1015
## 26 43041 38302 10080 29196 3270
## 27 16318 15690 1751 12313 1042
## 28 10027 9639 1183 7724 504
## 29 7428 6811 1662 5476 597
## 30 4547 4163 1306 2776 670
## 31 2983 2384 930 1951 308
## 32 2799 2257 689 1723 163
## 33 2914 2049 1067 1200 286
## 34 604 524 126 396 49
## 35 180903 151191 40818 122817 8497
## 36 145696 137921 21463 108595 9413
## 37 104117 96567 25325 70740 11452
## 38 10914 10048 1937 8000 1165
## 39 4428 3988 597 3242 129
## 40 1778 1392 579 1115 137
## 41 165527 151967 27693 123169 12411
## 42 58118 46399 18079 33738 2884
## 43 28459 26348 4332 21130 2934
## 44 25302 19428 8721 14389 1282
## 45 13150 11510 2665 9005 505
## 46 9881 9105 1468 7378 639
## 47 4247 3190 1840 2151 401
## 48 3854 3465 1176 2593 385
## 49 1144 657 532 565 107
## 50 1638 1931 379 1595 99
## 51 2125 1992 462 1358 74
## 52 9168 5643 4107 4290 407
## 53 559 584 0 391 0
## 54 3257 3204 482 2453 419
## 55 2741 2470 711 1584 223
## 56 730 595 135 545 88
## 57 21190 18681 5563 13583 2271
## 58 190183 171385 36241 138299 14946
## 59 34158 29223 10206 20026 4366
## 60 19660 17563 4890 12823 2092
## 61 16620 12537 5346 9131 977
## 62 11581 9441 4590 6183 1067
## 63 14826 13364 3366 10637 1150
## 64 12323 11119 2196 9093 649
## 65 8884 7589 2031 5888 178
## 66 7502 7001 1240 5825 416
## 67 4186 4175 247 3607 250
## 68 2463 1787 847 1487 87
## 69 2727 2183 907 1530 215
## 70 2787 2103 839 1274 138
## 71 2343 1644 1095 1409 286
## 72 2174 1819 620 1528 182
## 73 1146 768 437 653 42
## 74 0 111 0 111 0
## 75 48535 39509 15066 29910 2769
## 76 2107 2057 287 1752 64
## 77 276234 251540 50357 199897 21502
## 78 178862 156668 35829 127230 11663
## 79 133454 117709 43711 83236 15022
## 80 14057 11367 5651 8628 1799
## 81 9685 7453 3379 5080 693
## 82 6509 6289 1030 4936 721
## 83 25678 20643 9948 13785 2249
## 84 1010 946 169 740 0
## 85 6144 5495 1447 4369 1100
## 86 8296 6966 2913 5008 677
## 87 20760 18550 3767 15446 1315
## 88 9762 7851 3595 5370 757
## 89 10076 7514 4145 5868 893
## 90 4158 4148 847 2952 789
## 91 1441 1264 354 1011 36
## 92 1080 828 433 529 33
## 93 20859 16987 7071 10916 1779
## 94 179633 147335 49889 116251 14602
## 95 125393 109970 32242 88548 11268
## 96 83483 67448 24387 52243 8947
## 97 61022 51411 15902 39524 4535
## 98 46138 37850 13133 28966 2727
## 99 45326 38815 10948 30932 3305
## 100 24629 18755 9541 13109 1668
## 101 24639 21584 5153 16642 1067
## 102 14643 10732 6541 7588 1088
## 103 16181 13616 4543 10548 1743
## 104 13217 9601 6648 6625 975
## 105 15419 13534 3299 10982 1518
## 106 14779 11981 4690 9085 2006
## 107 12266 11688 2633 9170 962
## 108 11797 10722 2613 6954 842
## 109 9087 8027 3078 5482 463
## 110 9821 8032 3173 6234 749
## 111 3431 2659 1309 2161 78
## 112 3007 2473 891 1763 322
## 113 613 488 185 383 0
## 114 118241 98408 29558 73531 7195
## 115 105646 84681 40657 59218 11176
## 116 38315 29340 14569 20056 3132
## 117 18824 14354 7978 8801 1718
## 118 17700 14002 5168 8871 1012
## 119 14512 10099 6377 7460 1833
## 120 13115 11259 2273 8073 216
## 121 703 733 0 504 0
## 122 7052 5029 3891 3236 529
## 123 7767 6076 2568 4542 483
## 124 182295 144512 72371 100336 13874
## 125 92721 73475 29639 56561 8608
## 126 44679 35769 13078 27521 4410
## 127 37861 30020 12346 21735 2409
## 128 36728 32160 7494 23106 2393
## 129 26033 21419 7239 15266 1379
## 130 11165 8462 4831 5821 1302
## 131 8691 7264 2202 5816 547
## 132 7444 5843 2834 4714 757
## 133 7585 5603 2741 3912 437
## 134 15116 12520 3782 9193 833
## 135 24406 18166 11088 12809 2183
## 136 40157 31086 16659 21816 4267
## 137 30007 23018 9209 16537 1206
## 138 149180 114386 57825 81180 14345
## 139 149339 123177 37965 86540 7297
## 140 103078 77428 38515 57978 5593
## 141 54844 43401 19187 33438 4657
## 142 31433 22457 12818 15740 3718
## 143 9602 7700 3396 5679 1108
## 144 6594 5798 1246 4522 314
## 145 5362 4764 1227 3247 266
## 146 307933 233205 115172 174438 28169
## 147 47662 29010 24943 21425 3918
## 148 23794 19420 7230 13651 1920
## 149 17579 13262 6140 9965 1128
## 150 59679 42764 23656 31877 5486
## 151 46624 36747 15872 26906 3355
## 152 45038 34941 13481 27588 3329
## 153 17112 14479 5353 10824 917
## 154 12870 8447 6253 6322 1465
## 155 13076 11734 2214 8457 496
## 156 7653 5201 3221 3838 419
## 157 8294 6455 2405 5061 326
## 158 5052 3565 2225 2661 372
## 159 24202 18079 8767 13944 1617
## 160 13908 10451 5673 7413 1368
## 161 8650 7662 2064 5949 510
## 162 1290 1098 335 936 82
## 163 29633 20147 14515 13232 3395
## 164 29763 19975 13862 14460 1487
## 165 32551 27569 7001 20748 1360
## 166 7052 5197 3685 3214 846
## 167 36165 25147 15994 16891 3040
## 168 15053 10121 6612 7832 1340
## 169 6259 5043 2190 3602 304
## 170 2125 1848 572 1211 148
## 171 2101 1724 648 1293 368
## 172 3777 3154 965 2738 214
## 173 742 593 237 410 87
## Unemployment_rate Median P25th P75th College_jobs Non_college_jobs
## 1 0.018380527 110000 95000 125000 1534 364
## 2 0.117241379 75000 55000 90000 350 257
## 3 0.024096386 73000 50000 105000 456 176
## 4 0.050125313 70000 43000 80000 529 102
## 5 0.061097712 65000 50000 75000 18314 4440
## 6 0.177226407 65000 50000 102000 1142 657
## 7 0.095652174 62000 53000 72000 1768 314
## 8 0.021167415 62000 31500 109000 972 500
## 9 0.057342278 60000 48000 70000 52844 16384
## 10 0.059173845 60000 45000 72000 45829 10874
## 11 0.065409275 60000 45000 75000 23694 5721
## 12 0.065162085 60000 42000 70000 8184 2425
## 13 0.092083860 60000 36000 70000 6439 2471
## 14 0.023042836 60000 39000 65000 2626 391
## 15 0.006334343 58000 25000 74000 2439 947
## 16 0.087143069 57100 40000 76000 3603 1595
## 17 0.042875544 57000 37900 67000 8306 3235
## 18 0.059824231 56000 36000 69000 26898 11734
## 19 0.061930783 54000 38000 65000 1665 649
## 20 0.011689692 54000 50000 54000 402 528
## 21 0.063172771 53000 39000 70000 68622 25667
## 22 0.096931460 53000 32000 70000 1183 1274
## 23 0.087557114 52000 35000 60000 5126 2686
## 24 0.027788805 52000 35000 62000 1911 305
## 25 0.058239614 51000 38000 60000 6342 5741
## 26 0.070609574 50000 40000 60000 28526 9356
## 27 0.060023041 50000 36000 60000 3275 5351
## 28 0.047858703 50000 40000 60000 1466 3629
## 29 0.074392523 50000 39000 65000 3445 2426
## 30 0.128426299 50000 35000 70000 1550 1871
## 31 0.093588575 50000 42000 56000 2028 830
## 32 0.055030385 50000 43000 60000 1017 1269
## 33 0.089375000 50000 25000 66000 693 1714
## 34 0.075038285 50000 42800 57000 501 50
## 35 0.044862724 48000 39000 58000 151643 26146
## 36 0.060686356 47000 35000 64000 24243 48447
## 37 0.099092317 47000 35000 65000 25582 37057
## 38 0.096448381 46000 33000 58000 1578 4612
## 39 0.028308097 46000 35000 65000 1394 2454
## 40 0.071540470 46000 38000 53000 162 1475
## 41 0.069749014 45000 34000 56000 11417 39323
## 42 0.047277138 45000 33000 60000 34800 14829
## 43 0.093460326 45000 30000 60000 13344 11783
## 44 0.048224496 45000 30000 68000 18674 4576
## 45 0.036982790 45000 36000 50000 5546 7176
## 46 0.060741445 45000 32500 58000 4390 4102
## 47 0.086273666 45000 26700 60000 2298 1200
## 48 0.090823307 45000 34000 63000 2437 803
## 49 0.085531575 45000 40000 45000 603 478
## 50 0.056994819 44700 23000 50000 459 996
## 51 0.033651660 44000 30000 50000 482 844
## 52 0.042506527 42000 30000 65000 2091 6948
## 53 0.000000000 42000 30000 78000 452 67
## 54 0.113982590 41300 20000 46000 2024 1033
## 55 0.075236167 41000 20000 60000 1369 921
## 56 0.107579462 41000 41000 43000 509 221
## 57 0.096798943 40100 31200 53000 6774 9570
## 58 0.072861468 40000 30000 55000 29334 100831
## 59 0.113331949 40000 31000 50000 16178 13724
## 60 0.096175064 40000 30000 50000 3383 9482
## 61 0.055520827 40000 20000 90000 11573 4493
## 62 0.084361164 40000 29000 47000 7225 3145
## 63 0.071982974 40000 30000 51000 2236 8937
## 64 0.050030836 40000 25000 50000 1925 6221
## 65 0.019642463 40000 30000 50000 2418 4717
## 66 0.052538520 40000 30400 56000 2446 3896
## 67 0.056357078 40000 27000 52000 1861 2121
## 68 0.034117647 40000 34000 45000 1675 678
## 69 0.073079538 40000 30000 54000 744 1654
## 70 0.047179487 40000 30000 42000 801 1591
## 71 0.108786611 40000 32000 53000 559 1224
## 72 0.077249576 40000 27000 54000 535 893
## 73 0.035353535 40000 30000 55000 530 465
## 74 0.000000000 40000 40000 40000 0 0
## 75 0.053972400 39000 30000 49900 30382 14718
## 76 0.029479503 38400 22500 45000 221 1659
## 77 0.072218341 38000 29000 50000 36720 148395
## 78 0.061215064 38000 30000 50000 25320 93889
## 79 0.101174601 38000 28000 50000 36854 66947
## 80 0.113458628 38000 30000 50000 5350 6830
## 81 0.066775872 38000 29600 50000 5577 3174
## 82 0.099723375 37500 25000 50000 2354 3244
## 83 0.080531385 37400 29000 50000 15654 8394
## 84 0.000000000 37000 26000 40000 677 184
## 85 0.151849807 36400 27000 49000 2593 2941
## 86 0.075448568 36200 28000 47000 4858 2792
## 87 0.059569649 36000 28000 45000 2406 9629
## 88 0.071965016 36000 29200 46000 2002 6454
## 89 0.081411250 36000 23000 42000 5652 3835
## 90 0.159490600 36000 23000 60000 919 2313
## 91 0.024373731 36000 21000 41000 784 591
## 92 0.029649596 36000 34000 45000 434 593
## 93 0.078584681 35600 25000 40200 8149 10076
## 94 0.075176976 35000 27000 45000 40763 97964
## 95 0.082452199 35000 26000 45000 24348 88858
## 96 0.096797577 35000 25000 45000 37389 38119
## 97 0.069176442 35000 26000 42900 23279 26672
## 98 0.055806815 35000 24000 50000 17923 22039
## 99 0.067960766 35000 27000 47000 9659 23059
## 100 0.063429289 35000 24500 44000 8465 11818
## 101 0.041507819 35000 32000 42000 20185 3797
## 102 0.069162800 35000 20000 50000 6587 6894
## 103 0.097243919 35000 25000 45000 3373 10605
## 104 0.068700676 35000 26000 45000 6535 5473
## 105 0.089626262 35000 27000 42000 2589 8592
## 106 0.119511469 35000 25000 45000 4545 8794
## 107 0.072724524 35000 22000 52000 4575 6147
## 108 0.066619195 35000 25000 42000 4333 5808
## 109 0.048481675 35000 30000 44000 5605 2301
## 110 0.070860927 35000 25000 44000 5176 3903
## 111 0.022228555 35000 28000 50000 1808 1317
## 112 0.096725743 35000 28600 48000 1096 1692
## 113 0.000000000 35000 18500 44000 355 144
## 114 0.057359929 34000 26000 41000 82007 31112
## 115 0.095666912 34000 25000 47000 35336 54569
## 116 0.075566386 34000 25000 45000 15051 18193
## 117 0.083633531 34000 24000 45000 4956 10343
## 118 0.054082941 34000 23050 42000 10928 5561
## 119 0.112144387 34000 21000 45000 5225 7385
## 120 0.016202835 34000 30000 40000 10699 1977
## 121 0.000000000 34000 29000 35000 346 206
## 122 0.069779712 33500 23000 40000 3051 3539
## 123 0.058545455 33500 23000 48000 4253 2722
## 124 0.070724732 33400 24000 45000 88232 81109
## 125 0.084951001 33000 25000 44000 29051 48899
## 126 0.089836827 33000 25000 45000 12855 25297
## 127 0.059821207 33000 24000 41000 22215 14616
## 128 0.061169193 33000 25000 42000 2325 23341
## 129 0.050306435 33000 24000 40000 17985 6824
## 130 0.104435710 33000 25000 40000 4122 5695
## 131 0.059211951 33000 30000 45000 5284 2438
## 132 0.092305816 33000 24000 40000 2630 3906
## 133 0.054475193 33000 23000 42000 2856 4159
## 134 0.052228980 32500 25000 38000 10304 3967
## 135 0.082101621 32400 25000 45000 9364 12889
## 136 0.096051684 32200 23000 47100 14444 20313
## 137 0.038637747 32100 25000 40000 20821 8260
## 138 0.087723590 32000 23000 41000 57690 71827
## 139 0.046585715 32000 23400 38000 108085 36972
## 140 0.051467273 32000 24000 43000 27581 63946
## 141 0.078267592 32000 25000 42000 18565 28558
## 142 0.105772240 32000 22000 42000 7368 20721
## 143 0.103454715 32000 27000 50000 3602 4778
## 144 0.045454545 32000 22900 40000 2089 3545
## 145 0.047263682 32000 28000 39000 4214 1106
## 146 0.083810867 31500 24000 41000 125148 141860
## 147 0.075959674 31000 22300 42000 13752 28786
## 148 0.074667496 31000 24000 40000 12777 9328
## 149 0.060298284 31000 23000 40000 5139 9738
## 150 0.084186296 30500 21000 41000 20792 32725
## 151 0.067128194 30000 22900 40000 20985 20133
## 152 0.068827920 30000 25000 35000 27449 14416
## 153 0.050862499 30000 22000 40000 5443 9571
## 154 0.102197419 30000 22000 40000 3849 7635
## 155 0.036545830 30000 24000 37000 10766 1949
## 156 0.051907830 30000 20800 40000 2960 3948
## 157 0.037819026 30000 24000 35000 2878 4595
## 158 0.068584071 30000 20000 49000 1168 3354
## 159 0.062628297 29000 22000 38000 9927 12037
## 160 0.089552239 29000 19200 38300 3948 8707
## 161 0.055676856 29000 20000 36000 563 7384
## 162 0.059766764 29000 23000 42100 483 626
## 163 0.102791571 28000 20000 38000 9805 16693
## 164 0.047584000 28000 20000 40000 19957 9404
## 165 0.040104981 28000 21000 35000 23515 7705
## 166 0.107115726 27500 22900 38000 2326 3703
## 167 0.077541130 27000 19200 35000 6994 25313
## 168 0.081742207 27000 20000 35000 4855 8100
## 169 0.046320280 26000 20000 39000 2771 2947
## 170 0.065112187 25000 24000 34000 1488 615
## 171 0.149048198 25000 25000 40000 986 870
## 172 0.053620646 23400 19200 26000 2403 1245
## 173 0.104945718 22000 20000 22000 288 338
## Low_wage_jobs
## 1 193
## 2 50
## 3 0
## 4 0
## 5 972
## 6 244
## 7 259
## 8 220
## 9 3253
## 10 3170
## 11 980
## 12 372
## 13 789
## 14 81
## 15 263
## 16 524
## 17 640
## 18 3192
## 19 137
## 20 144
## 21 5144
## 22 485
## 23 696
## 24 70
## 25 708
## 26 2899
## 27 703
## 28 285
## 29 365
## 30 340
## 31 260
## 32 142
## 33 755
## 34 49
## 35 6193
## 36 9910
## 37 10653
## 38 1284
## 39 480
## 40 124
## 41 10886
## 42 4569
## 43 1672
## 44 1823
## 45 1002
## 46 608
## 47 343
## 48 357
## 49 93
## 50 186
## 51 245
## 52 1270
## 53 25
## 54 263
## 55 135
## 56 0
## 57 2499
## 58 27320
## 59 4221
## 60 3046
## 61 1121
## 62 1168
## 63 1758
## 64 1362
## 65 839
## 66 386
## 67 406
## 68 201
## 69 573
## 70 302
## 71 272
## 72 94
## 73 269
## 74 0
## 75 4288
## 76 81
## 77 32395
## 78 27968
## 79 19803
## 80 1905
## 81 1246
## 82 308
## 83 3012
## 84 56
## 85 352
## 86 959
## 87 1906
## 88 1336
## 89 1422
## 90 496
## 91 221
## 92 37
## 93 3175
## 94 27440
## 95 18404
## 96 14839
## 97 8512
## 98 5751
## 99 7214
## 100 3677
## 101 1179
## 102 2237
## 103 1895
## 104 2449
## 105 1391
## 106 2495
## 107 557
## 108 1405
## 109 902
## 110 1061
## 111 237
## 112 327
## 113 0
## 114 11443
## 115 16839
## 116 5267
## 117 3168
## 118 1806
## 119 1854
## 120 786
## 121 111
## 122 1159
## 123 459
## 124 28339
## 125 13748
## 126 6429
## 127 4468
## 128 9063
## 129 2819
## 130 2085
## 131 657
## 132 1470
## 133 976
## 134 1385
## 135 3816
## 136 8051
## 137 2767
## 138 26503
## 139 11502
## 140 16838
## 141 9030
## 142 5862
## 143 1634
## 144 1231
## 145 591
## 146 48207
## 147 9286
## 148 2042
## 149 3426
## 150 11880
## 151 5248
## 152 4344
## 153 2125
## 154 2840
## 155 722
## 156 1650
## 157 724
## 158 1141
## 159 3304
## 160 3586
## 161 3163
## 162 31
## 163 6866
## 164 5125
## 165 2868
## 166 1115
## 167 11068
## 168 3466
## 169 743
## 170 82
## 171 622
## 172 308
## 173 192library(stringr)
college_majors <- read.csv(url)
matching_majors <- str_detect(college_majors, pattern = "DATA | STATISTICS")## Warning in stri_detect_regex(string, pattern, negate = negate, opts_regex =
## opts(pattern)): argument is not an atomic vector; coercingprint(matching_majors)## [1] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSEstr_subset(college_majors$Major, pattern = "DATA | STATISTICS")## [1] "MANAGEMENT INFORMATION SYSTEMS AND STATISTICS"
## [2] "COMPUTER PROGRAMMING AND DATA PROCESSING"fruits <- c("bell pepper", "bilberry", "blackberry", "blood orange", "blueberry", "cantaloupe", "chili pepper", "cloudberry", "elderberry", "lime", "lychee", "mulberry", "olive", "salal berry")fruits_new <- c(fruits)
print(fruits_new)## [1] "bell pepper" "bilberry" "blackberry" "blood orange" "blueberry"
## [6] "cantaloupe" "chili pepper" "cloudberry" "elderberry" "lime"
## [11] "lychee" "mulberry" "olive" "salal berry"(.)\1\1 will match a string containing three consecutive identical characters. For example, it would match “eee” or “333.”
“(.)(.)\2\1” will match a string that consists of two pairs of identical characters separated by a space. For example,it would match “i i,” “7 7,” or “y y,” where the same character is repeated in each pair and separated by a space.
(..)\1 will match a string containing two consecutive pairs of identical characters. For example, it would match “eeff” or “7799” .
“(.).\1.\1” will match a string that starts with three groups of characters separated by spaces, followed by any number of other characters, and ends with the characters from the three groups in reverse order. For example, it would match “a b c 123 cba” or “x y z 456 zyx,” where the first three groups of characters are followed by any number of other characters and then followed by the same characters in reverse order.
“(.)(.)(.).*\3\2\1” This regular expression is the same as“(.).\1.\1” but without the escaped backslashes. It will also match strings that starts with three groups of characters separated by spaces, followed by any number of other characters, and ends with the characters from the three groups in reverse order
#4 Construct regular expressions to match words that:
str_view("level", "\\b(\\w)(\\w*)\\1\\b")## [1] │ <level>str_view("church", "\\b\\w*(\\w{2})\\w*\\1\\w*\\b")## [1] │ <church>str_view("Mississippi", "\\b(\\w*([a-zA-Z])\\w*\\2\\w*\\2\\w*)\\b"
)## [1] │ <Mississippi>`