Final_Project
2022-11-13
Final Project Summary
Part IV - Contextual write-up: why the data is important, why the insights are important. This is addressed throughout the project.
For the final project, I’ll use fivethirtyeight’s publicly available dataset college_all_ages to determine below:
1). Majors with highest employment potential 2). Majors with lowest employment potential 3). Majors with highest full-time employment potential and if they are the same as majors with highest overall employment potential 4). Ultimately, make recommendations as to which majors might be worthwhile pursuing
There are some additional datasets such as share of women in STEM fields and graduate programs with highest employment potential that I’ll also take a look at.
Part I - Finding your data set(s) and getting approval for your project on-time, recognition of strength/weaknesses of data, analysis to find insights in the data.
I used fivethirtyeight’s dataset college_all_ages to perform analysis below. I primarily relied on the recent-grads.csv and women-stem.csv files. I submitted my proposal on time, received approval to move forward. Based on the analysis performed below, it mostly concurs with the intuition that humanities majors generally produce graduates with higher unemployment rates while graduates in engineering and STEM fields have lower unemployment rates. However, there were exceptions for example nuclear engineering graduates had one of the highest unemployment rates and it could be because there aren’t many nuclear power plants in the country and hence this niche field doesn’t require as many graduates. Similarly, the other intuitive finding was that the share of women in STEM fields such as math and computer science was lower than women in health (nursing) fields. In terms of dataset weaknesses, the analysis below couldn’t explain why nuclear engineering had a high unemployment rate, which is in part due to the limited data available in the data set. It would have been helpful if the data set for example had a long-run unemployment rate average for the different majors which would have helped confirm some of these assumptions. I also had to calculate some fields such as full-time employment as a share of total employment (full-time employment potential) for each field to eliminate the possibility for example of certain humanities majors having a higher employment rate due in part to higher part-time employment. Finally, the data set is a snap-shot in time rather than a time series which is yet another weakness to discern trends. The strength of the data is it’s ability to glean high-level trends.
Part II - Data handling: cleaning, outlier/null handling, and transfer/loading data to the web.
Although I pulled the files directly from fivethirtyeight’s website, I did have to filter out 0’s in the employed column to calculate the full-tie empoyment potential. The files were relatively clean.
Part III - The graphs are outlined below where applicable.
library(fivethirtyeight)
library(ggplot2)
library(dplyr)## Warning: package 'dplyr' was built under R version 4.0.5##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionlibrary(data.table)##
## Attaching package: 'data.table'## The following objects are masked from 'package:dplyr':
##
## between, first, lastRecent_Grads <- read.csv(url("https://raw.githubusercontent.com/fivethirtyeight/data/master/college-majors/recent-grads.csv"))To determine majors with highest and lowest employment potential, we take a look at majors with the highest and lowest unemployment rates.
Nuclear engineering, Public Administration and Computer Networking & Telecommunications are the three majors with the highest unemployment rates. At first glance, it’s not intuitive that Nuclear engineering would have a high unemployment rate but it could be because it’s a specialized field with limited employment potential. Computer networking & telecom appears to be hardware-related jobs than software which are highly desired. Similarly, jobs with the lowest unemployment potential are Maths & computer-related, Botany and Military Technologies.
Part III - Data presentation: compliance with best data visualization practices, clarity, information-to-ink ratio, how memorable the visualization is
# Identify the top three majors with the highest unemployment rates
Recent_Grads1 <- Recent_Grads[order(-Recent_Grads$Unemployment_rate),]
# Identify the top three majors with the lowest unemployment rates
Recent_Grads2 <- Recent_Grads[order(Recent_Grads$Unemployment_rate),]
# Bar plot with Color for the Top 3 Majors with the highest unemployment rates
barplot(Recent_Grads1$Unemployment_rate, main="Top 3 Majors with the highest unemployment rates", xlab="Majors with the highest unemployment rates", ylab="Unemployment Rate (%)", col=c("darkblue", "red"), names.arg= as.matrix(Recent_Grads1$Major), cex.names = 0.3, cex.lab = 1, cex.axis = 0.7, las = 2)
Top_3_unemployment <- c("NUCLEAR ENGINEERING" = 17.7, "PUBLIC ADMINISTRATION" = 15.9, "COMPUTER NETWORKING AND TELECOMMUNICATIONS" = 15.2)
barplot(Top_3_unemployment, main ="Top 3 Majors with the highest unemployment rates", xlab = "Majors", ylab = "Unemployment Rate (%)", col=c("darkblue", "red", "green"),cex.names = 0.5)
# Bar plot with Color for the Top 3 Majors with the lowest unemployment rates
barplot(Recent_Grads2$Unemployment_rate, main="Top 3 Majors with the lowest unemployment rates", xlab="Majors with the lowest unemployment rates", ylab="Unemployment Rate (%)", col=c("darkblue", "red"), names.arg= as.matrix(Recent_Grads2$Major), cex.names = 0.3, cex.lab = 1, cex.axis = 0.7, las = 2)
# I hard coded a value of 0.1 as otherwise the barplot was showing nothing
Bottom_3_unemployment <- c("MATHEMATICS AND COMPUTER SCIENCE" = 0.1, "MILITARY TECHNOLOGIES" = 0.1, "BOTANY" = 0.1)
barplot(Bottom_3_unemployment, main ="Top 3 Majors with the lowest unemployment rates", xlab = "Majors", ylab = "Unemployment Rate (%)", col=c("darkblue", "red", "green"),cex.names = 0.5)
We could also have used small multiples as a display for the majors, below is how we would do this. Although this doesn’t help us decipher clearly, we see how below in the case of women’s share of STEM majors displayed as small multiples, we can clearly see that the share of women in STEM majors such as computers and engineering is low versus high in Health (i.e. fields such as nursing)
ggplot(Recent_Grads1, aes(x = Major, y = Unemployment_rate)) +
geom_bar(stat = "identity")+
facet_wrap(~Major_category)+
labs(title = "Unemployment Rate by Major")+
theme(axis.ticks = element_blank(), axis.text.x = element_blank(), legend.position = "none")
To identify majors with the highest full-time employment potential, we divide the Full-time_year_round column by the Employed column.
Majors with the highest full time year around employment as a percent of total employment are Oceanography, Naval Architecture & Marine Engineering whereas majors with the lowest share of full-time employment are Miscellaneous fine arts, Anthropology & Archaeology and Music. Essentially engineering graduates are likely to be fully employed whereas Liberal arts graduates are less employed which concurs with intuition. It’s also interesting to note that the majors with the highest share of full-time employment are not necessarily the fields with the lowest unemployment rates which were earlier identified to be Maths & computer-related, Botany and Military Technologies majors, this could mean that although graduates with these majors have the lowest overall unemployment rates, perhaps there are an inordinate number of part-time employees with these majors accounting for the low unemployment rate.
Based on this analysis, it’s recommended that graduates pursue Oceanography, Naval Architecture & Marine Engineering and it’s recommended graduates do not pursue Miscellaneous fine arts, Anthropology & Archaeology and Music fields.
Recent_Grads3 <- Recent_Grads
Recent_Grads3 <- filter(Recent_Grads, Employed > 0)
Recent_Grads3$calc <- Recent_Grads3$Full_time_year_round / Recent_Grads3$Employed
#Ordered in descending order
Recent_Grads3[order(-Recent_Grads3$calc),]## Rank Major_code
## 50 50 5006
## 4 4 2417
## 20 20 3201
## 67 67 2504
## 7 7 6202
## 75 76 5701
## 25 25 6212
## 6 6 2418
## 66 66 2599
## 12 12 2401
## 28 28 6204
## 81 82 2106
## 27 27 5601
## 54 54 2101
## 106 107 5901
## 46 46 2105
## 56 56 2303
## 18 18 2400
## 36 36 6207
## 41 41 6201
## 86 87 6209
## 43 43 2100
## 64 64 1101
## 29 29 2499
## 38 38 6205
## 83 84 3602
## 39 39 2503
## 58 58 6200
## 11 11 2407
## 17 17 2412
## 161 162 1199
## 171 172 5203
## 76 77 6203
## 19 19 2403
## 63 63 6299
## 120 121 2301
## 9 9 2414
## 104 105 6103
## 77 78 6206
## 84 85 2107
## 89 90 5401
## 94 95 5301
## 72 72 1102
## 90 91 5005
## 53 53 4005
## 21 21 2102
## 160 161 2201
## 143 144 1105
## 45 45 6105
## 98 99 1904
## 37 37 5501
## 35 35 6107
## 26 26 2406
## 100 101 2310
## 48 48 3701
## 130 131 2399
## 10 10 2408
## 65 65 1100
## 23 23 2502
## 34 34 2411
## 31 31 2410
## 60 60 6210
## 102 103 5503
## 5 5 2405
## 96 97 1902
## 93 94 1901
## 154 155 2312
## 57 57 5505
## 51 51 2501
## 164 165 2307
## 109 110 4000
## 131 132 4007
## 152 153 1103
## 110 111 5002
## 127 128 6211
## 97 98 5098
## 40 40 5102
## 95 96 6004
## 112 113 1106
## 78 79 5506
## 113 114 2300
## 74 75 5003
## 125 126 1903
## 32 32 2500
## 119 120 2305
## 170 171 5202
## 105 106 2001
## 79 80 5504
## 151 152 5404
## 1 1 2419
## 30 30 5402
## 156 157 5403
## 124 125 5507
## 140 141 3401
## 133 134 2309
## 2 2 2416
## 144 145 2308
## 68 68 3605
## 85 86 5004
## 108 109 3611
## 71 71 5205
## 13 13 2404
## 14 14 5008
## 142 143 5500
## 107 108 1303
## 128 129 2313
## 111 112 1302
## 59 59 1401
## 122 123 3699
## 88 89 6199
## 42 42 3700
## 138 139 2304
## 55 55 4006
## 150 151 2901
## 158 159 4901
## 168 169 3609
## 126 127 6109
## 147 148 2306
## 169 170 5201
## 73 73 5000
## 44 44 5007
## 148 149 6006
## 145 146 5200
## 139 140 4101
## 69 69 5599
## 114 115 6402
## 15 15 2409
## 16 16 2402
## 172 173 3501
## 136 137 2314
## 22 22 1104
## 123 124 3600
## 87 88 3202
## 61 61 6108
## 137 138 3301
## 135 136 4801
## 8 8 5001
## 82 83 3601
## 149 150 6000
## 62 62 3603
## 159 160 6007
## 99 100 1501
## 157 158 3402
## 134 135 6100
## 3 3 2415
## 80 81 3606
## 115 116 2602
## 92 93 1301
## 129 130 2601
## 167 168 3302
## 101 102 3608
## 132 133 3604
## 118 119 6110
## 47 47 3702
## 155 156 5299
## 103 104 4002
## 117 118 2311
## 141 142 6005
## 49 49 3607
## 153 154 6003
## 91 92 5206
## 163 164 6102
## 24 24 2413
## 52 52 6104
## 116 117 4001
## 166 167 6001
## 121 122 6106
## 70 70 6403
## 165 166 2603
## 146 147 6002
## 162 163 5502
## 33 33 6099
## Major Total
## 50 OCEANOGRAPHY 2418
## 4 NAVAL ARCHITECTURE AND MARINE ENGINEERING 1258
## 20 COURT REPORTING 1148
## 67 MECHANICAL ENGINEERING RELATED TECHNOLOGIES 4790
## 7 ACTUARIAL SCIENCE 3777
## 75 ELECTRICAL, MECHANICAL, AND PRECISION TECHNOLOGIES AND PRODUCTION 2435
## 25 MANAGEMENT INFORMATION SYSTEMS AND STATISTICS 18713
## 6 NUCLEAR ENGINEERING 2573
## 66 MISCELLANEOUS ENGINEERING TECHNOLOGIES 8804
## 12 AEROSPACE ENGINEERING 15058
## 28 OPERATIONS LOGISTICS AND E-COMMERCE 11732
## 81 COMPUTER ADMINISTRATION MANAGEMENT AND SECURITY 8066
## 27 CONSTRUCTION SERVICES 18498
## 54 COMPUTER PROGRAMMING AND DATA PROCESSING 4168
## 106 TRANSPORTATION SCIENCES AND TECHNOLOGIES 15150
## 46 INFORMATION SCIENCES 11913
## 56 SCHOOL STUDENT COUNSELING 818
## 18 GENERAL ENGINEERING 61152
## 36 FINANCE 174506
## 41 ACCOUNTING 198633
## 86 HUMAN RESOURCES AND PERSONNEL MANAGEMENT 24497
## 43 COMPUTER AND INFORMATION SYSTEMS 36698
## 64 AGRICULTURE PRODUCTION AND MANAGEMENT 14240
## 29 MISCELLANEOUS ENGINEERING 9133
## 38 BUSINESS ECONOMICS 13302
## 83 BOTANY 1329
## 39 INDUSTRIAL PRODUCTION TECHNOLOGIES 4631
## 58 GENERAL BUSINESS 234590
## 11 COMPUTER ENGINEERING 41542
## 17 INDUSTRIAL AND MANUFACTURING ENGINEERING 18968
## 161 MISCELLANEOUS AGRICULTURE 1488
## 171 COUNSELING PSYCHOLOGY 4626
## 76 BUSINESS MANAGEMENT AND ADMINISTRATION 329927
## 19 ARCHITECTURAL ENGINEERING 2825
## 63 MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION 17947
## 120 EDUCATIONAL ADMINISTRATION AND SUPERVISION 804
## 9 MECHANICAL ENGINEERING 91227
## 104 HEALTH AND MEDICAL ADMINISTRATIVE SERVICES 18109
## 77 MARKETING AND MARKETING RESEARCH 205211
## 84 COMPUTER NETWORKING AND TELECOMMUNICATIONS 7613
## 89 PUBLIC ADMINISTRATION 5629
## 94 CRIMINAL JUSTICE AND FIRE PROTECTION 152824
## 72 AGRICULTURAL ECONOMICS 2439
## 90 GEOSCIENCES 1978
## 53 MATHEMATICS AND COMPUTER SCIENCE 609
## 21 COMPUTER SCIENCE 128319
## 160 COSMETOLOGY SERVICES AND CULINARY ARTS 10510
## 143 PLANT SCIENCE AND AGRONOMY 7416
## 45 MEDICAL TECHNOLOGIES TECHNICIANS 15914
## 98 ADVERTISING AND PUBLIC RELATIONS 53162
## 37 ECONOMICS 139247
## 35 NURSING 209394
## 26 CIVIL ENGINEERING 53153
## 100 SPECIAL NEEDS EDUCATION 28739
## 48 APPLIED MATHEMATICS 4939
## 130 MISCELLANEOUS EDUCATION 10150
## 10 ELECTRICAL ENGINEERING 81527
## 65 GENERAL AGRICULTURE 10399
## 23 ELECTRICAL ENGINEERING TECHNOLOGY 11565
## 34 GEOLOGICAL AND GEOPHYSICAL ENGINEERING 720
## 31 ENVIRONMENTAL ENGINEERING 4047
## 60 INTERNATIONAL BUSINESS 25894
## 102 CRIMINOLOGY 19879
## 5 CHEMICAL ENGINEERING 32260
## 96 JOURNALISM 72619
## 93 COMMUNICATIONS 213996
## 154 TEACHER EDUCATION: MULTIPLE LEVELS 14443
## 57 INTERNATIONAL RELATIONS 28187
## 51 ENGINEERING AND INDUSTRIAL MANAGEMENT 2906
## 164 EARLY CHILDHOOD EDUCATION 37589
## 109 MULTI/INTERDISCIPLINARY STUDIES 12296
## 131 INTERDISCIPLINARY SOCIAL SCIENCES 9916
## 152 ANIMAL SCIENCES 21573
## 110 ATMOSPHERIC SCIENCES AND METEOROLOGY 4043
## 127 HOSPITALITY MANAGEMENT 43647
## 97 MULTI-DISCIPLINARY OR GENERAL SCIENCE 62052
## 40 NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES 2116
## 95 COMMERCIAL ART AND GRAPHIC DESIGN 103480
## 112 SOIL SCIENCE 685
## 78 POLITICAL SCIENCE AND GOVERNMENT 182621
## 113 GENERAL EDUCATION 143718
## 74 CHEMISTRY 66530
## 125 MASS MEDIA 52824
## 32 ENGINEERING TECHNOLOGIES 3600
## 119 MATHEMATICS TEACHER EDUCATION 14237
## 170 CLINICAL PSYCHOLOGY 2838
## 105 COMMUNICATION TECHNOLOGIES 18035
## 79 GEOGRAPHY 18480
## 151 SOCIAL WORK 53552
## 1 PETROLEUM ENGINEERING 2339
## 30 PUBLIC POLICY 5978
## 156 HUMAN SERVICES AND COMMUNITY ORGANIZATION 9374
## 124 SOCIOLOGY 115433
## 140 LIBERAL ARTS 71369
## 133 SECONDARY TEACHER EDUCATION 17125
## 2 MINING AND MINERAL ENGINEERING 756
## 144 SCIENCE AND COMPUTER TEACHER EDUCATION 6483
## 68 GENETICS 3635
## 85 GEOLOGY AND EARTH SCIENCE 10972
## 108 NEUROSCIENCE 13663
## 71 INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY 3014
## 13 BIOMEDICAL ENGINEERING 14955
## 14 MATERIALS SCIENCE 4279
## 142 GENERAL SOCIAL SCIENCES 12920
## 107 NATURAL RESOURCES MANAGEMENT 13773
## 128 LANGUAGE AND DRAMA EDUCATION 30471
## 111 FORESTRY 3607
## 59 ARCHITECTURE 46420
## 122 MISCELLANEOUS BIOLOGY 10706
## 88 MISCELLANEOUS HEALTH MEDICAL PROFESSIONS 13386
## 42 MATHEMATICS 72397
## 138 ELEMENTARY EDUCATION 170862
## 55 COGNITIVE SCIENCE AND BIOPSYCHOLOGY 3831
## 150 FAMILY AND CONSUMER SCIENCES 58001
## 158 THEOLOGY AND RELIGIOUS VOCATIONS 30207
## 168 ZOOLOGY 8409
## 126 TREATMENT THERAPY PROFESSIONS 48491
## 147 PHYSICAL AND HEALTH EDUCATION TEACHING 28213
## 169 EDUCATIONAL PSYCHOLOGY 2854
## 73 PHYSICAL SCIENCES 1436
## 44 PHYSICS 32142
## 148 ART HISTORY AND CRITICISM 21030
## 145 PSYCHOLOGY 393735
## 139 PHYSICAL FITNESS PARKS RECREATION AND LEISURE 125074
## 69 MISCELLANEOUS SOCIAL SCIENCES 3283
## 114 HISTORY 141951
## 15 ENGINEERING MECHANICS PHYSICS AND SCIENCE 4321
## 16 BIOLOGICAL ENGINEERING 8925
## 172 LIBRARY SCIENCE 1098
## 136 ART AND MUSIC EDUCATION 34181
## 22 FOOD SCIENCE NA
## 123 BIOLOGY 280709
## 87 PRE-LAW AND LEGAL STUDIES 13528
## 61 PHARMACY PHARMACEUTICAL SCIENCES AND ADMINISTRATION 23551
## 137 ENGLISH LANGUAGE AND LITERATURE 194673
## 135 PHILOSOPHY AND RELIGIOUS STUDIES 54814
## 8 ASTRONOMY AND ASTROPHYSICS 1792
## 82 BIOCHEMICAL SCIENCES 39107
## 149 FINE ARTS 74440
## 62 MOLECULAR BIOLOGY 18300
## 159 STUDIO ARTS 16977
## 99 AREA ETHNIC AND CIVILIZATION STUDIES 31195
## 157 HUMANITIES 6652
## 134 GENERAL MEDICAL AND HEALTH SERVICES 33599
## 3 METALLURGICAL ENGINEERING 856
## 80 MICROBIOLOGY 15232
## 115 FRENCH GERMAN LATIN AND OTHER COMMON FOREIGN LANGUAGE STUDIES 48246
## 92 ENVIRONMENTAL SCIENCE 25965
## 129 LINGUISTICS AND COMPARATIVE LANGUAGE AND LITERATURE 16601
## 167 COMPOSITION AND RHETORIC 18953
## 101 PHYSIOLOGY 22060
## 132 ECOLOGY 9154
## 118 COMMUNITY AND PUBLIC HEALTH 19735
## 47 STATISTICS AND DECISION SCIENCE 6251
## 155 MISCELLANEOUS PSYCHOLOGY 9628
## 103 NUTRITION SCIENCES 18909
## 117 SOCIAL SCIENCE OR HISTORY TEACHER EDUCATION 20198
## 141 FILM VIDEO AND PHOTOGRAPHIC ARTS 38761
## 49 PHARMACOLOGY 1762
## 153 VISUAL AND PERFORMING ARTS 16250
## 91 SOCIAL PSYCHOLOGY 1386
## 163 COMMUNICATION DISORDERS SCIENCES AND SERVICES 38279
## 24 MATERIALS ENGINEERING AND MATERIALS SCIENCE 2993
## 52 MEDICAL ASSISTING SERVICES 11123
## 116 INTERCULTURAL AND INTERNATIONAL STUDIES 24650
## 166 DRAMA AND THEATER ARTS 43249
## 121 HEALTH AND MEDICAL PREPARATORY PROGRAMS 12740
## 70 UNITED STATES HISTORY 3079
## 165 OTHER FOREIGN LANGUAGES 11204
## 146 MUSIC 60633
## 162 ANTHROPOLOGY AND ARCHEOLOGY 38844
## 33 MISCELLANEOUS FINE ARTS 3340
## Men Women Major_category ShareWomen Sample_size
## 50 752 1666 Physical Sciences 0.68899917 36
## 4 1123 135 Engineering 0.10731320 16
## 20 877 271 Law & Public Policy 0.23606272 14
## 67 4419 371 Engineering 0.07745303 71
## 7 2110 1667 Business 0.44135557 51
## 75 1869 566 Industrial Arts & Consumer Services 0.23244353 37
## 25 13496 5217 Business 0.27879015 278
## 6 2200 373 Engineering 0.14496697 17
## 66 7043 1761 Engineering 0.20002272 125
## 12 12953 2105 Engineering 0.13979280 147
## 28 7921 3811 Business 0.32483805 156
## 81 6607 1459 Computers & Mathematics 0.18088272 103
## 27 16820 1678 Industrial Arts & Consumer Services 0.09071251 295
## 54 3046 1122 Computers & Mathematics 0.26919386 43
## 106 13257 1893 Industrial Arts & Consumer Services 0.12495049 180
## 46 9005 2908 Computers & Mathematics 0.24410308 158
## 56 119 699 Education 0.85452323 4
## 18 45683 15469 Engineering 0.25295984 425
## 36 115030 59476 Business 0.34082496 2189
## 41 94519 104114 Business 0.52415258 2042
## 86 6184 18313 Business 0.74756093 264
## 43 27392 9306 Computers & Mathematics 0.25358330 425
## 64 9658 4582 Agriculture & Natural Resources 0.32176966 273
## 29 7398 1735 Engineering 0.18997044 118
## 38 7575 5727 Business 0.43053676 199
## 83 626 703 Biology & Life Science 0.52896915 9
## 39 3477 1154 Engineering 0.24919024 73
## 58 132238 102352 Business 0.43630163 2380
## 11 33258 8284 Engineering 0.19941264 399
## 17 12453 6515 Engineering 0.34347322 183
## 161 404 1084 Agriculture & Natural Resources 0.72849462 24
## 171 931 3695 Psychology & Social Work 0.79874622 21
## 76 173809 156118 Business 0.47318952 4212
## 19 1835 990 Engineering 0.35044248 26
## 63 10285 7662 Business 0.42692372 244
## 120 280 524 Education 0.65174129 5
## 9 80320 10907 Engineering 0.11955890 1029
## 104 4266 13843 Health 0.76442653 184
## 77 78857 126354 Business 0.61572723 2684
## 84 5291 2322 Computers & Mathematics 0.30500460 97
## 89 2947 2682 Law & Public Policy 0.47646118 46
## 94 80231 72593 Law & Public Policy 0.47501047 1728
## 72 1749 690 Agriculture & Natural Resources 0.28290283 44
## 90 809 1169 Physical Sciences 0.59100101 18
## 53 500 109 Computers & Mathematics 0.17898194 7
## 21 99743 28576 Computers & Mathematics 0.22269500 1196
## 160 4364 6146 Industrial Arts & Consumer Services 0.58477640 117
## 143 4897 2519 Agriculture & Natural Resources 0.33967098 110
## 45 3916 11998 Health 0.75392736 190
## 98 12862 40300 Communications & Journalism 0.75806027 681
## 37 89749 49498 Social Science 0.35546906 1322
## 35 21773 187621 Health 0.89601899 2554
## 26 41081 12072 Engineering 0.22711794 565
## 100 2682 26057 Education 0.90667734 246
## 48 2794 2145 Computers & Mathematics 0.43429844 45
## 130 3654 6496 Education 0.64000000 126
## 10 65511 16016 Engineering 0.19645026 631
## 65 6053 4346 Agriculture & Natural Resources 0.41792480 158
## 23 8181 3384 Engineering 0.29260700 97
## 34 488 232 Engineering 0.32222222 5
## 31 2662 1385 Engineering 0.34222881 26
## 60 10624 15270 Business 0.58971190 260
## 102 10031 9848 Social Science 0.49539715 214
## 5 21239 11021 Engineering 0.34163050 289
## 96 23736 48883 Communications & Journalism 0.67314339 843
## 93 70619 143377 Communications & Journalism 0.66999851 2394
## 154 2734 11709 Education 0.81070415 142
## 57 10345 17842 Social Science 0.63298684 219
## 51 2400 506 Engineering 0.17412251 29
## 164 1167 36422 Education 0.96895368 342
## 109 2817 9479 Interdisciplinary 0.77090111 128
## 131 2337 7579 Social Science 0.76432029 95
## 152 5347 16226 Agriculture & Natural Resources 0.75214388 255
## 110 2744 1299 Physical Sciences 0.32129607 32
## 127 15204 28443 Business 0.65165991 546
## 97 27015 35037 Physical Sciences 0.56463933 427
## 40 528 1588 Physical Sciences 0.75047259 31
## 95 32041 71439 Arts 0.69036529 1186
## 112 476 209 Agriculture & Natural Resources 0.30510949 4
## 78 93880 88741 Social Science 0.48592988 1387
## 113 26893 116825 Education 0.81287661 919
## 74 32923 33607 Physical Sciences 0.50514054 353
## 125 24704 28120 Communications & Journalism 0.53233379 590
## 32 2695 905 Engineering 0.25138889 39
## 119 3872 10365 Education 0.72803259 123
## 170 568 2270 Psychology & Social Work 0.79985906 13
## 105 11431 6604 Computers & Mathematics 0.36617688 208
## 79 11404 7076 Social Science 0.38290043 179
## 151 5137 48415 Psychology & Social Work 0.90407454 374
## 1 2057 282 Engineering 0.12056434 36
## 30 2639 3339 Law & Public Policy 0.55854801 55
## 156 885 8489 Psychology & Social Work 0.90558993 89
## 124 32510 82923 Social Science 0.71836477 1024
## 140 22339 49030 Humanities & Liberal Arts 0.68699295 569
## 133 6820 10305 Education 0.60175183 156
## 2 679 77 Engineering 0.10185185 7
## 144 2049 4434 Education 0.68394262 59
## 68 1761 1874 Biology & Life Science 0.51554333 11
## 85 5813 5159 Physical Sciences 0.47019687 78
## 108 4944 8719 Biology & Life Science 0.63814682 53
## 71 1075 1939 Psychology & Social Work 0.64333112 24
## 13 8407 6548 Engineering 0.43784687 79
## 14 2949 1330 Engineering 0.31082028 22
## 142 5079 7841 Social Science 0.60688855 113
## 107 8617 5156 Agriculture & Natural Resources 0.37435562 152
## 128 3741 26730 Education 0.87722753 235
## 111 3156 451 Agriculture & Natural Resources 0.12503465 48
## 59 25463 20957 Engineering 0.45146489 362
## 122 4747 5959 Biology & Life Science 0.55660377 63
## 88 1589 11797 Health 0.88129389 81
## 42 39956 32441 Computers & Mathematics 0.44809868 541
## 138 13029 157833 Education 0.92374548 1629
## 55 1667 2164 Biology & Life Science 0.56486557 25
## 150 5166 52835 Industrial Arts & Consumer Services 0.91093257 518
## 158 18616 11591 Humanities & Liberal Arts 0.38371901 310
## 168 3050 5359 Biology & Life Science 0.63729338 47
## 126 13487 35004 Health 0.72186591 224
## 147 15670 12543 Education 0.44458229 259
## 169 522 2332 Psychology & Social Work 0.81709881 7
## 73 894 542 Physical Sciences 0.37743733 10
## 44 23080 9062 Physical Sciences 0.28193641 142
## 148 3240 17790 Humanities & Liberal Arts 0.84593438 204
## 145 86648 307087 Psychology & Social Work 0.77993320 2584
## 139 62181 62893 Industrial Arts & Consumer Services 0.50284631 1014
## 69 1499 1784 Social Science 0.54340542 28
## 114 78253 63698 Humanities & Liberal Arts 0.44873231 1058
## 15 3526 795 Engineering 0.18398519 30
## 16 6062 2863 Engineering 0.32078431 55
## 172 134 964 Education 0.87795993 2
## 136 10732 23449 Education 0.68602440 338
## 22 NA NA Agriculture & Natural Resources NA 36
## 123 111762 168947 Biology & Life Science 0.60185815 1370
## 87 4435 9093 Law & Public Policy 0.67216144 92
## 61 8697 14854 Health 0.63071632 38
## 137 58227 136446 Humanities & Liberal Arts 0.70089843 1436
## 135 31967 22847 Humanities & Liberal Arts 0.41680957 375
## 8 832 960 Physical Sciences 0.53571429 10
## 82 18951 20156 Biology & Life Science 0.51540645 174
## 149 24786 49654 Arts 0.66703385 623
## 62 7426 10874 Biology & Life Science 0.59420765 90
## 159 4754 12223 Arts 0.71997408 182
## 99 8739 22456 Humanities & Liberal Arts 0.71985895 249
## 157 2013 4639 Humanities & Liberal Arts 0.69738424 49
## 134 7574 26025 Health 0.77457662 202
## 3 725 131 Engineering 0.15303738 3
## 80 6383 8849 Biology & Life Science 0.58094800 62
## 115 12835 35411 Humanities & Liberal Arts 0.73396758 342
## 92 10787 15178 Biology & Life Science 0.58455613 225
## 129 4416 12185 Humanities & Liberal Arts 0.73399193 88
## 167 7022 11931 Humanities & Liberal Arts 0.62950456 151
## 101 8422 13638 Biology & Life Science 0.61822303 99
## 132 3878 5276 Biology & Life Science 0.57636006 86
## 118 4103 15632 Health 0.79209526 130
## 47 2960 3291 Computers & Mathematics 0.52647576 37
## 155 1936 7692 Psychology & Social Work 0.79891982 60
## 103 2563 16346 Health 0.86445608 118
## 117 9950 10248 Education 0.50737697 157
## 141 22357 16404 Arts 0.42320890 331
## 49 515 1247 Biology & Life Science 0.70771850 3
## 153 4133 12117 Arts 0.74566154 132
## 91 413 973 Psychology & Social Work 0.70202020 8
## 163 1225 37054 Health 0.96799812 95
## 24 2020 973 Engineering 0.32509188 22
## 52 803 10320 Health 0.92780725 67
## 116 8575 16075 Humanities & Liberal Arts 0.65212982 184
## 166 14440 28809 Arts 0.66611945 357
## 121 5521 7219 Health 0.56664050 31
## 70 1756 1323 Humanities & Liberal Arts 0.42968496 22
## 165 3472 7732 Humanities & Liberal Arts 0.69011068 56
## 146 29909 30724 Arts 0.50672076 419
## 162 11376 27468 Humanities & Liberal Arts 0.70713624 247
## 33 1970 1370 Arts 0.41017964 30
## Employed Full_time Part_time Full_time_year_round Unemployed
## 50 1638 1931 379 1595 99
## 4 758 1069 150 692 40
## 20 930 808 223 808 11
## 67 4186 4175 247 3607 250
## 7 2912 2924 296 2482 308
## 75 2107 2057 287 1752 64
## 25 16413 15141 2420 13017 1015
## 6 1857 2038 264 1449 400
## 66 7502 7001 1240 5825 416
## 12 11391 11106 2724 8790 794
## 28 10027 9639 1183 7724 504
## 81 6509 6289 1030 4936 721
## 27 16318 15690 1751 12313 1042
## 54 3257 3204 482 2453 419
## 106 12266 11688 2633 9170 962
## 46 9881 9105 1468 7378 639
## 56 730 595 135 545 88
## 18 44931 41235 7199 33540 2859
## 36 145696 137921 21463 108595 9413
## 41 165527 151967 27693 123169 12411
## 86 20760 18550 3767 15446 1315
## 43 28459 26348 4332 21130 2934
## 64 12323 11119 2196 9093 649
## 29 7428 6811 1662 5476 597
## 38 10914 10048 1937 8000 1165
## 83 1010 946 169 740 0
## 39 4428 3988 597 3242 129
## 58 190183 171385 36241 138299 14946
## 11 32506 30315 5146 23621 2275
## 17 15604 14879 2243 11326 699
## 161 1290 1098 335 936 82
## 171 3777 3154 965 2738 214
## 76 276234 251540 50357 199897 21502
## 19 2575 2277 343 1848 170
## 63 14826 13364 3366 10637 1150
## 120 703 733 0 504 0
## 9 76442 71298 13101 54639 4650
## 104 15419 13534 3299 10982 1518
## 77 178862 156668 35829 127230 11663
## 84 6144 5495 1447 4369 1100
## 89 4158 4148 847 2952 789
## 94 125393 109970 32242 88548 11268
## 72 2174 1819 620 1528 182
## 90 1441 1264 354 1011 36
## 53 559 584 0 391 0
## 21 102087 91485 18726 70932 6884
## 160 8650 7662 2064 5949 510
## 143 6594 5798 1246 4522 314
## 45 13150 11510 2665 9005 505
## 98 45326 38815 10948 30932 3305
## 37 104117 96567 25325 70740 11452
## 35 180903 151191 40818 122817 8497
## 26 43041 38302 10080 29196 3270
## 100 24639 21584 5153 16642 1067
## 48 3854 3465 1176 2593 385
## 130 8691 7264 2202 5816 547
## 10 61928 55450 12695 41413 3895
## 65 8884 7589 2031 5888 178
## 23 8587 7530 1873 5681 824
## 34 604 524 126 396 49
## 31 2983 2384 930 1951 308
## 60 19660 17563 4890 12823 2092
## 102 16181 13616 4543 10548 1743
## 5 25694 23170 5180 16697 1672
## 96 61022 51411 15902 39524 4535
## 93 179633 147335 49889 116251 14602
## 154 13076 11734 2214 8457 496
## 57 21190 18681 5563 13583 2271
## 51 2125 1992 462 1358 74
## 164 32551 27569 7001 20748 1360
## 109 9821 8032 3173 6234 749
## 131 7444 5843 2834 4714 757
## 152 17112 14479 5353 10824 917
## 110 3431 2659 1309 2161 78
## 127 36728 32160 7494 23106 2393
## 97 46138 37850 13133 28966 2727
## 40 1778 1392 579 1115 137
## 95 83483 67448 24387 52243 8947
## 112 613 488 185 383 0
## 78 133454 117709 43711 83236 15022
## 113 118241 98408 29558 73531 7195
## 74 48535 39509 15066 29910 2769
## 125 44679 35769 13078 27521 4410
## 32 2799 2257 689 1723 163
## 119 13115 11259 2273 8073 216
## 170 2101 1724 648 1293 368
## 105 14779 11981 4690 9085 2006
## 79 14057 11367 5651 8628 1799
## 151 45038 34941 13481 27588 3329
## 1 1976 1849 270 1207 37
## 30 4547 4163 1306 2776 670
## 156 8294 6455 2405 5061 326
## 124 92721 73475 29639 56561 8608
## 140 54844 43401 19187 33438 4657
## 133 15116 12520 3782 9193 833
## 2 640 556 170 388 85
## 144 5362 4764 1227 3247 266
## 68 2463 1787 847 1487 87
## 85 8296 6966 2913 5008 677
## 108 9087 8027 3078 5482 463
## 71 2343 1644 1095 1409 286
## 13 10047 9017 2694 5986 1019
## 14 3307 2751 878 1967 78
## 142 9602 7700 3396 5679 1108
## 107 11797 10722 2613 6954 842
## 128 26033 21419 7239 15266 1379
## 111 3007 2473 891 1763 322
## 59 34158 29223 10206 20026 4366
## 122 7767 6076 2568 4542 483
## 88 10076 7514 4145 5868 893
## 42 58118 46399 18079 33738 2884
## 138 149339 123177 37965 86540 7297
## 55 2741 2470 711 1584 223
## 150 46624 36747 15872 26906 3355
## 158 24202 18079 8767 13944 1617
## 168 6259 5043 2190 3602 304
## 126 37861 30020 12346 21735 2409
## 147 23794 19420 7230 13651 1920
## 169 2125 1848 572 1211 148
## 73 1146 768 437 653 42
## 44 25302 19428 8721 14389 1282
## 148 17579 13262 6140 9965 1128
## 145 307933 233205 115172 174438 28169
## 139 103078 77428 38515 57978 5593
## 69 2727 2183 907 1530 215
## 114 105646 84681 40657 59218 11176
## 15 3608 2999 811 2004 23
## 16 6170 5455 1983 3413 589
## 172 742 593 237 410 87
## 136 30007 23018 9209 16537 1206
## 22 3149 2558 1121 1735 338
## 123 182295 144512 72371 100336 13874
## 87 9762 7851 3595 5370 757
## 61 16620 12537 5346 9131 977
## 137 149180 114386 57825 81180 14345
## 135 40157 31086 16659 21816 4267
## 8 1526 1085 553 827 33
## 82 25678 20643 9948 13785 2249
## 149 59679 42764 23656 31877 5486
## 62 11581 9441 4590 6183 1067
## 159 13908 10451 5673 7413 1368
## 99 24629 18755 9541 13109 1668
## 157 5052 3565 2225 2661 372
## 134 24406 18166 11088 12809 2183
## 3 648 558 133 340 16
## 80 9685 7453 3379 5080 693
## 115 38315 29340 14569 20056 3132
## 92 20859 16987 7071 10916 1779
## 129 11165 8462 4831 5821 1302
## 167 15053 10121 6612 7832 1340
## 101 14643 10732 6541 7588 1088
## 132 7585 5603 2741 3912 437
## 118 14512 10099 6377 7460 1833
## 47 4247 3190 1840 2151 401
## 155 7653 5201 3221 3838 419
## 103 13217 9601 6648 6625 975
## 117 17700 14002 5168 8871 1012
## 141 31433 22457 12818 15740 3718
## 49 1144 657 532 565 107
## 153 12870 8447 6253 6322 1465
## 91 1080 828 433 529 33
## 163 29763 19975 13862 14460 1487
## 24 2449 1658 1040 1151 70
## 52 9168 5643 4107 4290 407
## 116 18824 14354 7978 8801 1718
## 166 36165 25147 15994 16891 3040
## 121 7052 5029 3891 3236 529
## 70 2787 2103 839 1274 138
## 165 7052 5197 3685 3214 846
## 146 47662 29010 24943 21425 3918
## 162 29633 20147 14515 13232 3395
## 33 2914 2049 1067 1200 286
## Unemployment_rate Median P25th P75th College_jobs Non_college_jobs
## 50 0.056994819 44700 23000 50000 459 996
## 4 0.050125313 70000 43000 80000 529 102
## 20 0.011689692 54000 50000 54000 402 528
## 67 0.056357078 40000 27000 52000 1861 2121
## 7 0.095652174 62000 53000 72000 1768 314
## 75 0.029479503 38400 22500 45000 221 1659
## 25 0.058239614 51000 38000 60000 6342 5741
## 6 0.177226407 65000 50000 102000 1142 657
## 66 0.052538520 40000 30400 56000 2446 3896
## 12 0.065162085 60000 42000 70000 8184 2425
## 28 0.047858703 50000 40000 60000 1466 3629
## 81 0.099723375 37500 25000 50000 2354 3244
## 27 0.060023041 50000 36000 60000 3275 5351
## 54 0.113982590 41300 20000 46000 2024 1033
## 106 0.072724524 35000 22000 52000 4575 6147
## 46 0.060741445 45000 32500 58000 4390 4102
## 56 0.107579462 41000 41000 43000 509 221
## 18 0.059824231 56000 36000 69000 26898 11734
## 36 0.060686356 47000 35000 64000 24243 48447
## 41 0.069749014 45000 34000 56000 11417 39323
## 86 0.059569649 36000 28000 45000 2406 9629
## 43 0.093460326 45000 30000 60000 13344 11783
## 64 0.050030836 40000 25000 50000 1925 6221
## 29 0.074392523 50000 39000 65000 3445 2426
## 38 0.096448381 46000 33000 58000 1578 4612
## 83 0.000000000 37000 26000 40000 677 184
## 39 0.028308097 46000 35000 65000 1394 2454
## 58 0.072861468 40000 30000 55000 29334 100831
## 11 0.065409275 60000 45000 75000 23694 5721
## 17 0.042875544 57000 37900 67000 8306 3235
## 161 0.059766764 29000 23000 42100 483 626
## 171 0.053620646 23400 19200 26000 2403 1245
## 76 0.072218341 38000 29000 50000 36720 148395
## 19 0.061930783 54000 38000 65000 1665 649
## 63 0.071982974 40000 30000 51000 2236 8937
## 120 0.000000000 34000 29000 35000 346 206
## 9 0.057342278 60000 48000 70000 52844 16384
## 104 0.089626262 35000 27000 42000 2589 8592
## 77 0.061215064 38000 30000 50000 25320 93889
## 84 0.151849807 36400 27000 49000 2593 2941
## 89 0.159490600 36000 23000 60000 919 2313
## 94 0.082452199 35000 26000 45000 24348 88858
## 72 0.077249576 40000 27000 54000 535 893
## 90 0.024373731 36000 21000 41000 784 591
## 53 0.000000000 42000 30000 78000 452 67
## 21 0.063172771 53000 39000 70000 68622 25667
## 160 0.055676856 29000 20000 36000 563 7384
## 143 0.045454545 32000 22900 40000 2089 3545
## 45 0.036982790 45000 36000 50000 5546 7176
## 98 0.067960766 35000 27000 47000 9659 23059
## 37 0.099092317 47000 35000 65000 25582 37057
## 35 0.044862724 48000 39000 58000 151643 26146
## 26 0.070609574 50000 40000 60000 28526 9356
## 100 0.041507819 35000 32000 42000 20185 3797
## 48 0.090823307 45000 34000 63000 2437 803
## 130 0.059211951 33000 30000 45000 5284 2438
## 10 0.059173845 60000 45000 72000 45829 10874
## 65 0.019642463 40000 30000 50000 2418 4717
## 23 0.087557114 52000 35000 60000 5126 2686
## 34 0.075038285 50000 42800 57000 501 50
## 31 0.093588575 50000 42000 56000 2028 830
## 60 0.096175064 40000 30000 50000 3383 9482
## 102 0.097243919 35000 25000 45000 3373 10605
## 5 0.061097712 65000 50000 75000 18314 4440
## 96 0.069176442 35000 26000 42900 23279 26672
## 93 0.075176976 35000 27000 45000 40763 97964
## 154 0.036545830 30000 24000 37000 10766 1949
## 57 0.096798943 40100 31200 53000 6774 9570
## 51 0.033651660 44000 30000 50000 482 844
## 164 0.040104981 28000 21000 35000 23515 7705
## 109 0.070860927 35000 25000 44000 5176 3903
## 131 0.092305816 33000 24000 40000 2630 3906
## 152 0.050862499 30000 22000 40000 5443 9571
## 110 0.022228555 35000 28000 50000 1808 1317
## 127 0.061169193 33000 25000 42000 2325 23341
## 97 0.055806815 35000 24000 50000 17923 22039
## 40 0.071540470 46000 38000 53000 162 1475
## 95 0.096797577 35000 25000 45000 37389 38119
## 112 0.000000000 35000 18500 44000 355 144
## 78 0.101174601 38000 28000 50000 36854 66947
## 113 0.057359929 34000 26000 41000 82007 31112
## 74 0.053972400 39000 30000 49900 30382 14718
## 125 0.089836827 33000 25000 45000 12855 25297
## 32 0.055030385 50000 43000 60000 1017 1269
## 119 0.016202835 34000 30000 40000 10699 1977
## 170 0.149048198 25000 25000 40000 986 870
## 105 0.119511469 35000 25000 45000 4545 8794
## 79 0.113458628 38000 30000 50000 5350 6830
## 151 0.068827920 30000 25000 35000 27449 14416
## 1 0.018380527 110000 95000 125000 1534 364
## 30 0.128426299 50000 35000 70000 1550 1871
## 156 0.037819026 30000 24000 35000 2878 4595
## 124 0.084951001 33000 25000 44000 29051 48899
## 140 0.078267592 32000 25000 42000 18565 28558
## 133 0.052228980 32500 25000 38000 10304 3967
## 2 0.117241379 75000 55000 90000 350 257
## 144 0.047263682 32000 28000 39000 4214 1106
## 68 0.034117647 40000 34000 45000 1675 678
## 85 0.075448568 36200 28000 47000 4858 2792
## 108 0.048481675 35000 30000 44000 5605 2301
## 71 0.108786611 40000 32000 53000 559 1224
## 13 0.092083860 60000 36000 70000 6439 2471
## 14 0.023042836 60000 39000 65000 2626 391
## 142 0.103454715 32000 27000 50000 3602 4778
## 107 0.066619195 35000 25000 42000 4333 5808
## 128 0.050306435 33000 24000 40000 17985 6824
## 111 0.096725743 35000 28600 48000 1096 1692
## 59 0.113331949 40000 31000 50000 16178 13724
## 122 0.058545455 33500 23000 48000 4253 2722
## 88 0.081411250 36000 23000 42000 5652 3835
## 42 0.047277138 45000 33000 60000 34800 14829
## 138 0.046585715 32000 23400 38000 108085 36972
## 55 0.075236167 41000 20000 60000 1369 921
## 150 0.067128194 30000 22900 40000 20985 20133
## 158 0.062628297 29000 22000 38000 9927 12037
## 168 0.046320280 26000 20000 39000 2771 2947
## 126 0.059821207 33000 24000 41000 22215 14616
## 147 0.074667496 31000 24000 40000 12777 9328
## 169 0.065112187 25000 24000 34000 1488 615
## 73 0.035353535 40000 30000 55000 530 465
## 44 0.048224496 45000 30000 68000 18674 4576
## 148 0.060298284 31000 23000 40000 5139 9738
## 145 0.083810867 31500 24000 41000 125148 141860
## 139 0.051467273 32000 24000 43000 27581 63946
## 69 0.073079538 40000 30000 54000 744 1654
## 114 0.095666912 34000 25000 47000 35336 54569
## 15 0.006334343 58000 25000 74000 2439 947
## 16 0.087143069 57100 40000 76000 3603 1595
## 172 0.104945718 22000 20000 22000 288 338
## 136 0.038637747 32100 25000 40000 20821 8260
## 22 0.096931460 53000 32000 70000 1183 1274
## 123 0.070724732 33400 24000 45000 88232 81109
## 87 0.071965016 36000 29200 46000 2002 6454
## 61 0.055520827 40000 20000 90000 11573 4493
## 137 0.087723590 32000 23000 41000 57690 71827
## 135 0.096051684 32200 23000 47100 14444 20313
## 8 0.021167415 62000 31500 109000 972 500
## 82 0.080531385 37400 29000 50000 15654 8394
## 149 0.084186296 30500 21000 41000 20792 32725
## 62 0.084361164 40000 29000 47000 7225 3145
## 159 0.089552239 29000 19200 38300 3948 8707
## 99 0.063429289 35000 24500 44000 8465 11818
## 157 0.068584071 30000 20000 49000 1168 3354
## 134 0.082101621 32400 25000 45000 9364 12889
## 3 0.024096386 73000 50000 105000 456 176
## 80 0.066775872 38000 29600 50000 5577 3174
## 115 0.075566386 34000 25000 45000 15051 18193
## 92 0.078584681 35600 25000 40200 8149 10076
## 129 0.104435710 33000 25000 40000 4122 5695
## 167 0.081742207 27000 20000 35000 4855 8100
## 101 0.069162800 35000 20000 50000 6587 6894
## 132 0.054475193 33000 23000 42000 2856 4159
## 118 0.112144387 34000 21000 45000 5225 7385
## 47 0.086273666 45000 26700 60000 2298 1200
## 155 0.051907830 30000 20800 40000 2960 3948
## 103 0.068700676 35000 26000 45000 6535 5473
## 117 0.054082941 34000 23050 42000 10928 5561
## 141 0.105772240 32000 22000 42000 7368 20721
## 49 0.085531575 45000 40000 45000 603 478
## 153 0.102197419 30000 22000 40000 3849 7635
## 91 0.029649596 36000 34000 45000 434 593
## 163 0.047584000 28000 20000 40000 19957 9404
## 24 0.027788805 52000 35000 62000 1911 305
## 52 0.042506527 42000 30000 65000 2091 6948
## 116 0.083633531 34000 24000 45000 4956 10343
## 166 0.077541130 27000 19200 35000 6994 25313
## 121 0.069779712 33500 23000 40000 3051 3539
## 70 0.047179487 40000 30000 42000 801 1591
## 165 0.107115726 27500 22900 38000 2326 3703
## 146 0.075959674 31000 22300 42000 13752 28786
## 162 0.102791571 28000 20000 38000 9805 16693
## 33 0.089375000 50000 25000 66000 693 1714
## Low_wage_jobs calc
## 50 186 0.9737485
## 4 0 0.9129288
## 20 144 0.8688172
## 67 406 0.8616818
## 7 259 0.8523352
## 75 81 0.8315140
## 25 708 0.7930908
## 6 244 0.7802908
## 66 386 0.7764596
## 12 372 0.7716618
## 28 285 0.7703201
## 81 308 0.7583346
## 27 703 0.7545655
## 54 263 0.7531471
## 106 557 0.7475950
## 46 608 0.7466856
## 56 0 0.7465753
## 18 3192 0.7464779
## 36 9910 0.7453533
## 41 10886 0.7441022
## 86 1906 0.7440270
## 43 1672 0.7424716
## 64 1362 0.7378885
## 29 365 0.7372106
## 38 1284 0.7330035
## 83 56 0.7326733
## 39 480 0.7321590
## 58 27320 0.7271891
## 11 980 0.7266658
## 17 640 0.7258395
## 161 31 0.7255814
## 171 308 0.7249140
## 76 32395 0.7236510
## 19 137 0.7176699
## 63 1758 0.7174558
## 120 111 0.7169275
## 9 3253 0.7147772
## 104 1391 0.7122381
## 77 27968 0.7113305
## 84 352 0.7111003
## 89 496 0.7099567
## 94 18404 0.7061638
## 72 94 0.7028519
## 90 221 0.7015961
## 53 25 0.6994633
## 21 5144 0.6948191
## 160 3163 0.6877457
## 143 1231 0.6857749
## 45 1002 0.6847909
## 98 7214 0.6824339
## 37 10653 0.6794280
## 35 6193 0.6789108
## 26 2899 0.6783300
## 100 1179 0.6754333
## 48 357 0.6728075
## 130 657 0.6691980
## 10 3170 0.6687282
## 65 839 0.6627645
## 23 696 0.6615815
## 34 49 0.6556291
## 31 260 0.6540396
## 60 3046 0.6522380
## 102 1895 0.6518757
## 5 972 0.6498404
## 96 8512 0.6477008
## 93 27440 0.6471584
## 154 722 0.6467574
## 57 2499 0.6410099
## 51 245 0.6390588
## 164 2868 0.6373998
## 109 1061 0.6347622
## 131 1470 0.6332617
## 152 2125 0.6325386
## 110 237 0.6298455
## 127 9063 0.6291113
## 97 5751 0.6278122
## 40 124 0.6271091
## 95 14839 0.6257921
## 112 0 0.6247961
## 78 19803 0.6237055
## 113 11443 0.6218740
## 74 4288 0.6162563
## 125 6429 0.6159717
## 32 142 0.6155770
## 119 786 0.6155547
## 170 622 0.6154212
## 105 2495 0.6147236
## 79 1905 0.6137867
## 151 4344 0.6125494
## 1 193 0.6108300
## 30 340 0.6105124
## 156 724 0.6102001
## 124 13748 0.6100128
## 140 9030 0.6096929
## 133 1385 0.6081635
## 2 50 0.6062500
## 144 591 0.6055576
## 68 201 0.6037353
## 85 959 0.6036644
## 108 902 0.6032794
## 71 272 0.6013658
## 13 789 0.5957997
## 14 81 0.5947989
## 142 1634 0.5914393
## 107 1405 0.5894719
## 128 2819 0.5864096
## 111 327 0.5862986
## 59 4221 0.5862755
## 122 459 0.5847818
## 88 1422 0.5823740
## 42 4569 0.5805086
## 138 11502 0.5794869
## 55 135 0.5778913
## 150 5248 0.5770848
## 158 3304 0.5761507
## 168 743 0.5754913
## 126 4468 0.5740736
## 147 2042 0.5737161
## 169 82 0.5698824
## 73 269 0.5698080
## 44 1823 0.5686902
## 148 3426 0.5668696
## 145 48207 0.5664804
## 139 16838 0.5624673
## 69 573 0.5610561
## 114 16839 0.5605323
## 15 263 0.5554324
## 16 524 0.5531605
## 172 192 0.5525606
## 136 2767 0.5511047
## 22 485 0.5509686
## 123 28339 0.5504046
## 87 1336 0.5500922
## 61 1121 0.5493983
## 137 26503 0.5441748
## 135 8051 0.5432677
## 8 220 0.5419397
## 82 3012 0.5368409
## 149 11880 0.5341410
## 62 1168 0.5338917
## 159 3586 0.5330026
## 99 3677 0.5322587
## 157 1141 0.5267221
## 134 3816 0.5248300
## 3 0 0.5246914
## 80 1246 0.5245225
## 115 5267 0.5234503
## 92 3175 0.5233233
## 129 2085 0.5213614
## 167 3466 0.5202950
## 101 2237 0.5181998
## 132 976 0.5157548
## 118 1854 0.5140573
## 47 343 0.5064752
## 155 1650 0.5015027
## 103 2449 0.5012484
## 117 1806 0.5011864
## 141 5862 0.5007476
## 49 93 0.4938811
## 153 2840 0.4912199
## 91 37 0.4898148
## 163 5125 0.4858381
## 24 70 0.4699878
## 52 1270 0.4679319
## 116 3168 0.4675414
## 166 11068 0.4670538
## 121 1159 0.4588769
## 70 302 0.4571224
## 165 1115 0.4557572
## 146 9286 0.4495195
## 162 6866 0.4465292
## 33 755 0.4118051#Ordered in ascending order
Recent_Grads3[order(Recent_Grads3$calc),]## Rank Major_code
## 33 33 6099
## 162 163 5502
## 146 147 6002
## 165 166 2603
## 70 70 6403
## 121 122 6106
## 166 167 6001
## 116 117 4001
## 52 52 6104
## 24 24 2413
## 163 164 6102
## 91 92 5206
## 153 154 6003
## 49 49 3607
## 141 142 6005
## 117 118 2311
## 103 104 4002
## 155 156 5299
## 47 47 3702
## 118 119 6110
## 132 133 3604
## 101 102 3608
## 167 168 3302
## 129 130 2601
## 92 93 1301
## 115 116 2602
## 80 81 3606
## 3 3 2415
## 134 135 6100
## 157 158 3402
## 99 100 1501
## 159 160 6007
## 62 62 3603
## 149 150 6000
## 82 83 3601
## 8 8 5001
## 135 136 4801
## 137 138 3301
## 61 61 6108
## 87 88 3202
## 123 124 3600
## 22 22 1104
## 136 137 2314
## 172 173 3501
## 16 16 2402
## 15 15 2409
## 114 115 6402
## 69 69 5599
## 139 140 4101
## 145 146 5200
## 148 149 6006
## 44 44 5007
## 73 73 5000
## 169 170 5201
## 147 148 2306
## 126 127 6109
## 168 169 3609
## 158 159 4901
## 150 151 2901
## 55 55 4006
## 138 139 2304
## 42 42 3700
## 88 89 6199
## 122 123 3699
## 59 59 1401
## 111 112 1302
## 128 129 2313
## 107 108 1303
## 142 143 5500
## 14 14 5008
## 13 13 2404
## 71 71 5205
## 108 109 3611
## 85 86 5004
## 68 68 3605
## 144 145 2308
## 2 2 2416
## 133 134 2309
## 140 141 3401
## 124 125 5507
## 156 157 5403
## 30 30 5402
## 1 1 2419
## 151 152 5404
## 79 80 5504
## 105 106 2001
## 170 171 5202
## 119 120 2305
## 32 32 2500
## 125 126 1903
## 74 75 5003
## 113 114 2300
## 78 79 5506
## 112 113 1106
## 95 96 6004
## 40 40 5102
## 97 98 5098
## 127 128 6211
## 110 111 5002
## 152 153 1103
## 131 132 4007
## 109 110 4000
## 164 165 2307
## 51 51 2501
## 57 57 5505
## 154 155 2312
## 93 94 1901
## 96 97 1902
## 5 5 2405
## 102 103 5503
## 60 60 6210
## 31 31 2410
## 34 34 2411
## 23 23 2502
## 65 65 1100
## 10 10 2408
## 130 131 2399
## 48 48 3701
## 100 101 2310
## 26 26 2406
## 35 35 6107
## 37 37 5501
## 98 99 1904
## 45 45 6105
## 143 144 1105
## 160 161 2201
## 21 21 2102
## 53 53 4005
## 90 91 5005
## 72 72 1102
## 94 95 5301
## 89 90 5401
## 84 85 2107
## 77 78 6206
## 104 105 6103
## 9 9 2414
## 120 121 2301
## 63 63 6299
## 19 19 2403
## 76 77 6203
## 171 172 5203
## 161 162 1199
## 17 17 2412
## 11 11 2407
## 58 58 6200
## 39 39 2503
## 83 84 3602
## 38 38 6205
## 29 29 2499
## 64 64 1101
## 43 43 2100
## 86 87 6209
## 41 41 6201
## 36 36 6207
## 18 18 2400
## 56 56 2303
## 46 46 2105
## 106 107 5901
## 54 54 2101
## 27 27 5601
## 81 82 2106
## 28 28 6204
## 12 12 2401
## 66 66 2599
## 6 6 2418
## 25 25 6212
## 75 76 5701
## 7 7 6202
## 67 67 2504
## 20 20 3201
## 4 4 2417
## 50 50 5006
## Major Total
## 33 MISCELLANEOUS FINE ARTS 3340
## 162 ANTHROPOLOGY AND ARCHEOLOGY 38844
## 146 MUSIC 60633
## 165 OTHER FOREIGN LANGUAGES 11204
## 70 UNITED STATES HISTORY 3079
## 121 HEALTH AND MEDICAL PREPARATORY PROGRAMS 12740
## 166 DRAMA AND THEATER ARTS 43249
## 116 INTERCULTURAL AND INTERNATIONAL STUDIES 24650
## 52 MEDICAL ASSISTING SERVICES 11123
## 24 MATERIALS ENGINEERING AND MATERIALS SCIENCE 2993
## 163 COMMUNICATION DISORDERS SCIENCES AND SERVICES 38279
## 91 SOCIAL PSYCHOLOGY 1386
## 153 VISUAL AND PERFORMING ARTS 16250
## 49 PHARMACOLOGY 1762
## 141 FILM VIDEO AND PHOTOGRAPHIC ARTS 38761
## 117 SOCIAL SCIENCE OR HISTORY TEACHER EDUCATION 20198
## 103 NUTRITION SCIENCES 18909
## 155 MISCELLANEOUS PSYCHOLOGY 9628
## 47 STATISTICS AND DECISION SCIENCE 6251
## 118 COMMUNITY AND PUBLIC HEALTH 19735
## 132 ECOLOGY 9154
## 101 PHYSIOLOGY 22060
## 167 COMPOSITION AND RHETORIC 18953
## 129 LINGUISTICS AND COMPARATIVE LANGUAGE AND LITERATURE 16601
## 92 ENVIRONMENTAL SCIENCE 25965
## 115 FRENCH GERMAN LATIN AND OTHER COMMON FOREIGN LANGUAGE STUDIES 48246
## 80 MICROBIOLOGY 15232
## 3 METALLURGICAL ENGINEERING 856
## 134 GENERAL MEDICAL AND HEALTH SERVICES 33599
## 157 HUMANITIES 6652
## 99 AREA ETHNIC AND CIVILIZATION STUDIES 31195
## 159 STUDIO ARTS 16977
## 62 MOLECULAR BIOLOGY 18300
## 149 FINE ARTS 74440
## 82 BIOCHEMICAL SCIENCES 39107
## 8 ASTRONOMY AND ASTROPHYSICS 1792
## 135 PHILOSOPHY AND RELIGIOUS STUDIES 54814
## 137 ENGLISH LANGUAGE AND LITERATURE 194673
## 61 PHARMACY PHARMACEUTICAL SCIENCES AND ADMINISTRATION 23551
## 87 PRE-LAW AND LEGAL STUDIES 13528
## 123 BIOLOGY 280709
## 22 FOOD SCIENCE NA
## 136 ART AND MUSIC EDUCATION 34181
## 172 LIBRARY SCIENCE 1098
## 16 BIOLOGICAL ENGINEERING 8925
## 15 ENGINEERING MECHANICS PHYSICS AND SCIENCE 4321
## 114 HISTORY 141951
## 69 MISCELLANEOUS SOCIAL SCIENCES 3283
## 139 PHYSICAL FITNESS PARKS RECREATION AND LEISURE 125074
## 145 PSYCHOLOGY 393735
## 148 ART HISTORY AND CRITICISM 21030
## 44 PHYSICS 32142
## 73 PHYSICAL SCIENCES 1436
## 169 EDUCATIONAL PSYCHOLOGY 2854
## 147 PHYSICAL AND HEALTH EDUCATION TEACHING 28213
## 126 TREATMENT THERAPY PROFESSIONS 48491
## 168 ZOOLOGY 8409
## 158 THEOLOGY AND RELIGIOUS VOCATIONS 30207
## 150 FAMILY AND CONSUMER SCIENCES 58001
## 55 COGNITIVE SCIENCE AND BIOPSYCHOLOGY 3831
## 138 ELEMENTARY EDUCATION 170862
## 42 MATHEMATICS 72397
## 88 MISCELLANEOUS HEALTH MEDICAL PROFESSIONS 13386
## 122 MISCELLANEOUS BIOLOGY 10706
## 59 ARCHITECTURE 46420
## 111 FORESTRY 3607
## 128 LANGUAGE AND DRAMA EDUCATION 30471
## 107 NATURAL RESOURCES MANAGEMENT 13773
## 142 GENERAL SOCIAL SCIENCES 12920
## 14 MATERIALS SCIENCE 4279
## 13 BIOMEDICAL ENGINEERING 14955
## 71 INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY 3014
## 108 NEUROSCIENCE 13663
## 85 GEOLOGY AND EARTH SCIENCE 10972
## 68 GENETICS 3635
## 144 SCIENCE AND COMPUTER TEACHER EDUCATION 6483
## 2 MINING AND MINERAL ENGINEERING 756
## 133 SECONDARY TEACHER EDUCATION 17125
## 140 LIBERAL ARTS 71369
## 124 SOCIOLOGY 115433
## 156 HUMAN SERVICES AND COMMUNITY ORGANIZATION 9374
## 30 PUBLIC POLICY 5978
## 1 PETROLEUM ENGINEERING 2339
## 151 SOCIAL WORK 53552
## 79 GEOGRAPHY 18480
## 105 COMMUNICATION TECHNOLOGIES 18035
## 170 CLINICAL PSYCHOLOGY 2838
## 119 MATHEMATICS TEACHER EDUCATION 14237
## 32 ENGINEERING TECHNOLOGIES 3600
## 125 MASS MEDIA 52824
## 74 CHEMISTRY 66530
## 113 GENERAL EDUCATION 143718
## 78 POLITICAL SCIENCE AND GOVERNMENT 182621
## 112 SOIL SCIENCE 685
## 95 COMMERCIAL ART AND GRAPHIC DESIGN 103480
## 40 NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES 2116
## 97 MULTI-DISCIPLINARY OR GENERAL SCIENCE 62052
## 127 HOSPITALITY MANAGEMENT 43647
## 110 ATMOSPHERIC SCIENCES AND METEOROLOGY 4043
## 152 ANIMAL SCIENCES 21573
## 131 INTERDISCIPLINARY SOCIAL SCIENCES 9916
## 109 MULTI/INTERDISCIPLINARY STUDIES 12296
## 164 EARLY CHILDHOOD EDUCATION 37589
## 51 ENGINEERING AND INDUSTRIAL MANAGEMENT 2906
## 57 INTERNATIONAL RELATIONS 28187
## 154 TEACHER EDUCATION: MULTIPLE LEVELS 14443
## 93 COMMUNICATIONS 213996
## 96 JOURNALISM 72619
## 5 CHEMICAL ENGINEERING 32260
## 102 CRIMINOLOGY 19879
## 60 INTERNATIONAL BUSINESS 25894
## 31 ENVIRONMENTAL ENGINEERING 4047
## 34 GEOLOGICAL AND GEOPHYSICAL ENGINEERING 720
## 23 ELECTRICAL ENGINEERING TECHNOLOGY 11565
## 65 GENERAL AGRICULTURE 10399
## 10 ELECTRICAL ENGINEERING 81527
## 130 MISCELLANEOUS EDUCATION 10150
## 48 APPLIED MATHEMATICS 4939
## 100 SPECIAL NEEDS EDUCATION 28739
## 26 CIVIL ENGINEERING 53153
## 35 NURSING 209394
## 37 ECONOMICS 139247
## 98 ADVERTISING AND PUBLIC RELATIONS 53162
## 45 MEDICAL TECHNOLOGIES TECHNICIANS 15914
## 143 PLANT SCIENCE AND AGRONOMY 7416
## 160 COSMETOLOGY SERVICES AND CULINARY ARTS 10510
## 21 COMPUTER SCIENCE 128319
## 53 MATHEMATICS AND COMPUTER SCIENCE 609
## 90 GEOSCIENCES 1978
## 72 AGRICULTURAL ECONOMICS 2439
## 94 CRIMINAL JUSTICE AND FIRE PROTECTION 152824
## 89 PUBLIC ADMINISTRATION 5629
## 84 COMPUTER NETWORKING AND TELECOMMUNICATIONS 7613
## 77 MARKETING AND MARKETING RESEARCH 205211
## 104 HEALTH AND MEDICAL ADMINISTRATIVE SERVICES 18109
## 9 MECHANICAL ENGINEERING 91227
## 120 EDUCATIONAL ADMINISTRATION AND SUPERVISION 804
## 63 MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION 17947
## 19 ARCHITECTURAL ENGINEERING 2825
## 76 BUSINESS MANAGEMENT AND ADMINISTRATION 329927
## 171 COUNSELING PSYCHOLOGY 4626
## 161 MISCELLANEOUS AGRICULTURE 1488
## 17 INDUSTRIAL AND MANUFACTURING ENGINEERING 18968
## 11 COMPUTER ENGINEERING 41542
## 58 GENERAL BUSINESS 234590
## 39 INDUSTRIAL PRODUCTION TECHNOLOGIES 4631
## 83 BOTANY 1329
## 38 BUSINESS ECONOMICS 13302
## 29 MISCELLANEOUS ENGINEERING 9133
## 64 AGRICULTURE PRODUCTION AND MANAGEMENT 14240
## 43 COMPUTER AND INFORMATION SYSTEMS 36698
## 86 HUMAN RESOURCES AND PERSONNEL MANAGEMENT 24497
## 41 ACCOUNTING 198633
## 36 FINANCE 174506
## 18 GENERAL ENGINEERING 61152
## 56 SCHOOL STUDENT COUNSELING 818
## 46 INFORMATION SCIENCES 11913
## 106 TRANSPORTATION SCIENCES AND TECHNOLOGIES 15150
## 54 COMPUTER PROGRAMMING AND DATA PROCESSING 4168
## 27 CONSTRUCTION SERVICES 18498
## 81 COMPUTER ADMINISTRATION MANAGEMENT AND SECURITY 8066
## 28 OPERATIONS LOGISTICS AND E-COMMERCE 11732
## 12 AEROSPACE ENGINEERING 15058
## 66 MISCELLANEOUS ENGINEERING TECHNOLOGIES 8804
## 6 NUCLEAR ENGINEERING 2573
## 25 MANAGEMENT INFORMATION SYSTEMS AND STATISTICS 18713
## 75 ELECTRICAL, MECHANICAL, AND PRECISION TECHNOLOGIES AND PRODUCTION 2435
## 7 ACTUARIAL SCIENCE 3777
## 67 MECHANICAL ENGINEERING RELATED TECHNOLOGIES 4790
## 20 COURT REPORTING 1148
## 4 NAVAL ARCHITECTURE AND MARINE ENGINEERING 1258
## 50 OCEANOGRAPHY 2418
## Men Women Major_category ShareWomen Sample_size
## 33 1970 1370 Arts 0.41017964 30
## 162 11376 27468 Humanities & Liberal Arts 0.70713624 247
## 146 29909 30724 Arts 0.50672076 419
## 165 3472 7732 Humanities & Liberal Arts 0.69011068 56
## 70 1756 1323 Humanities & Liberal Arts 0.42968496 22
## 121 5521 7219 Health 0.56664050 31
## 166 14440 28809 Arts 0.66611945 357
## 116 8575 16075 Humanities & Liberal Arts 0.65212982 184
## 52 803 10320 Health 0.92780725 67
## 24 2020 973 Engineering 0.32509188 22
## 163 1225 37054 Health 0.96799812 95
## 91 413 973 Psychology & Social Work 0.70202020 8
## 153 4133 12117 Arts 0.74566154 132
## 49 515 1247 Biology & Life Science 0.70771850 3
## 141 22357 16404 Arts 0.42320890 331
## 117 9950 10248 Education 0.50737697 157
## 103 2563 16346 Health 0.86445608 118
## 155 1936 7692 Psychology & Social Work 0.79891982 60
## 47 2960 3291 Computers & Mathematics 0.52647576 37
## 118 4103 15632 Health 0.79209526 130
## 132 3878 5276 Biology & Life Science 0.57636006 86
## 101 8422 13638 Biology & Life Science 0.61822303 99
## 167 7022 11931 Humanities & Liberal Arts 0.62950456 151
## 129 4416 12185 Humanities & Liberal Arts 0.73399193 88
## 92 10787 15178 Biology & Life Science 0.58455613 225
## 115 12835 35411 Humanities & Liberal Arts 0.73396758 342
## 80 6383 8849 Biology & Life Science 0.58094800 62
## 3 725 131 Engineering 0.15303738 3
## 134 7574 26025 Health 0.77457662 202
## 157 2013 4639 Humanities & Liberal Arts 0.69738424 49
## 99 8739 22456 Humanities & Liberal Arts 0.71985895 249
## 159 4754 12223 Arts 0.71997408 182
## 62 7426 10874 Biology & Life Science 0.59420765 90
## 149 24786 49654 Arts 0.66703385 623
## 82 18951 20156 Biology & Life Science 0.51540645 174
## 8 832 960 Physical Sciences 0.53571429 10
## 135 31967 22847 Humanities & Liberal Arts 0.41680957 375
## 137 58227 136446 Humanities & Liberal Arts 0.70089843 1436
## 61 8697 14854 Health 0.63071632 38
## 87 4435 9093 Law & Public Policy 0.67216144 92
## 123 111762 168947 Biology & Life Science 0.60185815 1370
## 22 NA NA Agriculture & Natural Resources NA 36
## 136 10732 23449 Education 0.68602440 338
## 172 134 964 Education 0.87795993 2
## 16 6062 2863 Engineering 0.32078431 55
## 15 3526 795 Engineering 0.18398519 30
## 114 78253 63698 Humanities & Liberal Arts 0.44873231 1058
## 69 1499 1784 Social Science 0.54340542 28
## 139 62181 62893 Industrial Arts & Consumer Services 0.50284631 1014
## 145 86648 307087 Psychology & Social Work 0.77993320 2584
## 148 3240 17790 Humanities & Liberal Arts 0.84593438 204
## 44 23080 9062 Physical Sciences 0.28193641 142
## 73 894 542 Physical Sciences 0.37743733 10
## 169 522 2332 Psychology & Social Work 0.81709881 7
## 147 15670 12543 Education 0.44458229 259
## 126 13487 35004 Health 0.72186591 224
## 168 3050 5359 Biology & Life Science 0.63729338 47
## 158 18616 11591 Humanities & Liberal Arts 0.38371901 310
## 150 5166 52835 Industrial Arts & Consumer Services 0.91093257 518
## 55 1667 2164 Biology & Life Science 0.56486557 25
## 138 13029 157833 Education 0.92374548 1629
## 42 39956 32441 Computers & Mathematics 0.44809868 541
## 88 1589 11797 Health 0.88129389 81
## 122 4747 5959 Biology & Life Science 0.55660377 63
## 59 25463 20957 Engineering 0.45146489 362
## 111 3156 451 Agriculture & Natural Resources 0.12503465 48
## 128 3741 26730 Education 0.87722753 235
## 107 8617 5156 Agriculture & Natural Resources 0.37435562 152
## 142 5079 7841 Social Science 0.60688855 113
## 14 2949 1330 Engineering 0.31082028 22
## 13 8407 6548 Engineering 0.43784687 79
## 71 1075 1939 Psychology & Social Work 0.64333112 24
## 108 4944 8719 Biology & Life Science 0.63814682 53
## 85 5813 5159 Physical Sciences 0.47019687 78
## 68 1761 1874 Biology & Life Science 0.51554333 11
## 144 2049 4434 Education 0.68394262 59
## 2 679 77 Engineering 0.10185185 7
## 133 6820 10305 Education 0.60175183 156
## 140 22339 49030 Humanities & Liberal Arts 0.68699295 569
## 124 32510 82923 Social Science 0.71836477 1024
## 156 885 8489 Psychology & Social Work 0.90558993 89
## 30 2639 3339 Law & Public Policy 0.55854801 55
## 1 2057 282 Engineering 0.12056434 36
## 151 5137 48415 Psychology & Social Work 0.90407454 374
## 79 11404 7076 Social Science 0.38290043 179
## 105 11431 6604 Computers & Mathematics 0.36617688 208
## 170 568 2270 Psychology & Social Work 0.79985906 13
## 119 3872 10365 Education 0.72803259 123
## 32 2695 905 Engineering 0.25138889 39
## 125 24704 28120 Communications & Journalism 0.53233379 590
## 74 32923 33607 Physical Sciences 0.50514054 353
## 113 26893 116825 Education 0.81287661 919
## 78 93880 88741 Social Science 0.48592988 1387
## 112 476 209 Agriculture & Natural Resources 0.30510949 4
## 95 32041 71439 Arts 0.69036529 1186
## 40 528 1588 Physical Sciences 0.75047259 31
## 97 27015 35037 Physical Sciences 0.56463933 427
## 127 15204 28443 Business 0.65165991 546
## 110 2744 1299 Physical Sciences 0.32129607 32
## 152 5347 16226 Agriculture & Natural Resources 0.75214388 255
## 131 2337 7579 Social Science 0.76432029 95
## 109 2817 9479 Interdisciplinary 0.77090111 128
## 164 1167 36422 Education 0.96895368 342
## 51 2400 506 Engineering 0.17412251 29
## 57 10345 17842 Social Science 0.63298684 219
## 154 2734 11709 Education 0.81070415 142
## 93 70619 143377 Communications & Journalism 0.66999851 2394
## 96 23736 48883 Communications & Journalism 0.67314339 843
## 5 21239 11021 Engineering 0.34163050 289
## 102 10031 9848 Social Science 0.49539715 214
## 60 10624 15270 Business 0.58971190 260
## 31 2662 1385 Engineering 0.34222881 26
## 34 488 232 Engineering 0.32222222 5
## 23 8181 3384 Engineering 0.29260700 97
## 65 6053 4346 Agriculture & Natural Resources 0.41792480 158
## 10 65511 16016 Engineering 0.19645026 631
## 130 3654 6496 Education 0.64000000 126
## 48 2794 2145 Computers & Mathematics 0.43429844 45
## 100 2682 26057 Education 0.90667734 246
## 26 41081 12072 Engineering 0.22711794 565
## 35 21773 187621 Health 0.89601899 2554
## 37 89749 49498 Social Science 0.35546906 1322
## 98 12862 40300 Communications & Journalism 0.75806027 681
## 45 3916 11998 Health 0.75392736 190
## 143 4897 2519 Agriculture & Natural Resources 0.33967098 110
## 160 4364 6146 Industrial Arts & Consumer Services 0.58477640 117
## 21 99743 28576 Computers & Mathematics 0.22269500 1196
## 53 500 109 Computers & Mathematics 0.17898194 7
## 90 809 1169 Physical Sciences 0.59100101 18
## 72 1749 690 Agriculture & Natural Resources 0.28290283 44
## 94 80231 72593 Law & Public Policy 0.47501047 1728
## 89 2947 2682 Law & Public Policy 0.47646118 46
## 84 5291 2322 Computers & Mathematics 0.30500460 97
## 77 78857 126354 Business 0.61572723 2684
## 104 4266 13843 Health 0.76442653 184
## 9 80320 10907 Engineering 0.11955890 1029
## 120 280 524 Education 0.65174129 5
## 63 10285 7662 Business 0.42692372 244
## 19 1835 990 Engineering 0.35044248 26
## 76 173809 156118 Business 0.47318952 4212
## 171 931 3695 Psychology & Social Work 0.79874622 21
## 161 404 1084 Agriculture & Natural Resources 0.72849462 24
## 17 12453 6515 Engineering 0.34347322 183
## 11 33258 8284 Engineering 0.19941264 399
## 58 132238 102352 Business 0.43630163 2380
## 39 3477 1154 Engineering 0.24919024 73
## 83 626 703 Biology & Life Science 0.52896915 9
## 38 7575 5727 Business 0.43053676 199
## 29 7398 1735 Engineering 0.18997044 118
## 64 9658 4582 Agriculture & Natural Resources 0.32176966 273
## 43 27392 9306 Computers & Mathematics 0.25358330 425
## 86 6184 18313 Business 0.74756093 264
## 41 94519 104114 Business 0.52415258 2042
## 36 115030 59476 Business 0.34082496 2189
## 18 45683 15469 Engineering 0.25295984 425
## 56 119 699 Education 0.85452323 4
## 46 9005 2908 Computers & Mathematics 0.24410308 158
## 106 13257 1893 Industrial Arts & Consumer Services 0.12495049 180
## 54 3046 1122 Computers & Mathematics 0.26919386 43
## 27 16820 1678 Industrial Arts & Consumer Services 0.09071251 295
## 81 6607 1459 Computers & Mathematics 0.18088272 103
## 28 7921 3811 Business 0.32483805 156
## 12 12953 2105 Engineering 0.13979280 147
## 66 7043 1761 Engineering 0.20002272 125
## 6 2200 373 Engineering 0.14496697 17
## 25 13496 5217 Business 0.27879015 278
## 75 1869 566 Industrial Arts & Consumer Services 0.23244353 37
## 7 2110 1667 Business 0.44135557 51
## 67 4419 371 Engineering 0.07745303 71
## 20 877 271 Law & Public Policy 0.23606272 14
## 4 1123 135 Engineering 0.10731320 16
## 50 752 1666 Physical Sciences 0.68899917 36
## Employed Full_time Part_time Full_time_year_round Unemployed
## 33 2914 2049 1067 1200 286
## 162 29633 20147 14515 13232 3395
## 146 47662 29010 24943 21425 3918
## 165 7052 5197 3685 3214 846
## 70 2787 2103 839 1274 138
## 121 7052 5029 3891 3236 529
## 166 36165 25147 15994 16891 3040
## 116 18824 14354 7978 8801 1718
## 52 9168 5643 4107 4290 407
## 24 2449 1658 1040 1151 70
## 163 29763 19975 13862 14460 1487
## 91 1080 828 433 529 33
## 153 12870 8447 6253 6322 1465
## 49 1144 657 532 565 107
## 141 31433 22457 12818 15740 3718
## 117 17700 14002 5168 8871 1012
## 103 13217 9601 6648 6625 975
## 155 7653 5201 3221 3838 419
## 47 4247 3190 1840 2151 401
## 118 14512 10099 6377 7460 1833
## 132 7585 5603 2741 3912 437
## 101 14643 10732 6541 7588 1088
## 167 15053 10121 6612 7832 1340
## 129 11165 8462 4831 5821 1302
## 92 20859 16987 7071 10916 1779
## 115 38315 29340 14569 20056 3132
## 80 9685 7453 3379 5080 693
## 3 648 558 133 340 16
## 134 24406 18166 11088 12809 2183
## 157 5052 3565 2225 2661 372
## 99 24629 18755 9541 13109 1668
## 159 13908 10451 5673 7413 1368
## 62 11581 9441 4590 6183 1067
## 149 59679 42764 23656 31877 5486
## 82 25678 20643 9948 13785 2249
## 8 1526 1085 553 827 33
## 135 40157 31086 16659 21816 4267
## 137 149180 114386 57825 81180 14345
## 61 16620 12537 5346 9131 977
## 87 9762 7851 3595 5370 757
## 123 182295 144512 72371 100336 13874
## 22 3149 2558 1121 1735 338
## 136 30007 23018 9209 16537 1206
## 172 742 593 237 410 87
## 16 6170 5455 1983 3413 589
## 15 3608 2999 811 2004 23
## 114 105646 84681 40657 59218 11176
## 69 2727 2183 907 1530 215
## 139 103078 77428 38515 57978 5593
## 145 307933 233205 115172 174438 28169
## 148 17579 13262 6140 9965 1128
## 44 25302 19428 8721 14389 1282
## 73 1146 768 437 653 42
## 169 2125 1848 572 1211 148
## 147 23794 19420 7230 13651 1920
## 126 37861 30020 12346 21735 2409
## 168 6259 5043 2190 3602 304
## 158 24202 18079 8767 13944 1617
## 150 46624 36747 15872 26906 3355
## 55 2741 2470 711 1584 223
## 138 149339 123177 37965 86540 7297
## 42 58118 46399 18079 33738 2884
## 88 10076 7514 4145 5868 893
## 122 7767 6076 2568 4542 483
## 59 34158 29223 10206 20026 4366
## 111 3007 2473 891 1763 322
## 128 26033 21419 7239 15266 1379
## 107 11797 10722 2613 6954 842
## 142 9602 7700 3396 5679 1108
## 14 3307 2751 878 1967 78
## 13 10047 9017 2694 5986 1019
## 71 2343 1644 1095 1409 286
## 108 9087 8027 3078 5482 463
## 85 8296 6966 2913 5008 677
## 68 2463 1787 847 1487 87
## 144 5362 4764 1227 3247 266
## 2 640 556 170 388 85
## 133 15116 12520 3782 9193 833
## 140 54844 43401 19187 33438 4657
## 124 92721 73475 29639 56561 8608
## 156 8294 6455 2405 5061 326
## 30 4547 4163 1306 2776 670
## 1 1976 1849 270 1207 37
## 151 45038 34941 13481 27588 3329
## 79 14057 11367 5651 8628 1799
## 105 14779 11981 4690 9085 2006
## 170 2101 1724 648 1293 368
## 119 13115 11259 2273 8073 216
## 32 2799 2257 689 1723 163
## 125 44679 35769 13078 27521 4410
## 74 48535 39509 15066 29910 2769
## 113 118241 98408 29558 73531 7195
## 78 133454 117709 43711 83236 15022
## 112 613 488 185 383 0
## 95 83483 67448 24387 52243 8947
## 40 1778 1392 579 1115 137
## 97 46138 37850 13133 28966 2727
## 127 36728 32160 7494 23106 2393
## 110 3431 2659 1309 2161 78
## 152 17112 14479 5353 10824 917
## 131 7444 5843 2834 4714 757
## 109 9821 8032 3173 6234 749
## 164 32551 27569 7001 20748 1360
## 51 2125 1992 462 1358 74
## 57 21190 18681 5563 13583 2271
## 154 13076 11734 2214 8457 496
## 93 179633 147335 49889 116251 14602
## 96 61022 51411 15902 39524 4535
## 5 25694 23170 5180 16697 1672
## 102 16181 13616 4543 10548 1743
## 60 19660 17563 4890 12823 2092
## 31 2983 2384 930 1951 308
## 34 604 524 126 396 49
## 23 8587 7530 1873 5681 824
## 65 8884 7589 2031 5888 178
## 10 61928 55450 12695 41413 3895
## 130 8691 7264 2202 5816 547
## 48 3854 3465 1176 2593 385
## 100 24639 21584 5153 16642 1067
## 26 43041 38302 10080 29196 3270
## 35 180903 151191 40818 122817 8497
## 37 104117 96567 25325 70740 11452
## 98 45326 38815 10948 30932 3305
## 45 13150 11510 2665 9005 505
## 143 6594 5798 1246 4522 314
## 160 8650 7662 2064 5949 510
## 21 102087 91485 18726 70932 6884
## 53 559 584 0 391 0
## 90 1441 1264 354 1011 36
## 72 2174 1819 620 1528 182
## 94 125393 109970 32242 88548 11268
## 89 4158 4148 847 2952 789
## 84 6144 5495 1447 4369 1100
## 77 178862 156668 35829 127230 11663
## 104 15419 13534 3299 10982 1518
## 9 76442 71298 13101 54639 4650
## 120 703 733 0 504 0
## 63 14826 13364 3366 10637 1150
## 19 2575 2277 343 1848 170
## 76 276234 251540 50357 199897 21502
## 171 3777 3154 965 2738 214
## 161 1290 1098 335 936 82
## 17 15604 14879 2243 11326 699
## 11 32506 30315 5146 23621 2275
## 58 190183 171385 36241 138299 14946
## 39 4428 3988 597 3242 129
## 83 1010 946 169 740 0
## 38 10914 10048 1937 8000 1165
## 29 7428 6811 1662 5476 597
## 64 12323 11119 2196 9093 649
## 43 28459 26348 4332 21130 2934
## 86 20760 18550 3767 15446 1315
## 41 165527 151967 27693 123169 12411
## 36 145696 137921 21463 108595 9413
## 18 44931 41235 7199 33540 2859
## 56 730 595 135 545 88
## 46 9881 9105 1468 7378 639
## 106 12266 11688 2633 9170 962
## 54 3257 3204 482 2453 419
## 27 16318 15690 1751 12313 1042
## 81 6509 6289 1030 4936 721
## 28 10027 9639 1183 7724 504
## 12 11391 11106 2724 8790 794
## 66 7502 7001 1240 5825 416
## 6 1857 2038 264 1449 400
## 25 16413 15141 2420 13017 1015
## 75 2107 2057 287 1752 64
## 7 2912 2924 296 2482 308
## 67 4186 4175 247 3607 250
## 20 930 808 223 808 11
## 4 758 1069 150 692 40
## 50 1638 1931 379 1595 99
## Unemployment_rate Median P25th P75th College_jobs Non_college_jobs
## 33 0.089375000 50000 25000 66000 693 1714
## 162 0.102791571 28000 20000 38000 9805 16693
## 146 0.075959674 31000 22300 42000 13752 28786
## 165 0.107115726 27500 22900 38000 2326 3703
## 70 0.047179487 40000 30000 42000 801 1591
## 121 0.069779712 33500 23000 40000 3051 3539
## 166 0.077541130 27000 19200 35000 6994 25313
## 116 0.083633531 34000 24000 45000 4956 10343
## 52 0.042506527 42000 30000 65000 2091 6948
## 24 0.027788805 52000 35000 62000 1911 305
## 163 0.047584000 28000 20000 40000 19957 9404
## 91 0.029649596 36000 34000 45000 434 593
## 153 0.102197419 30000 22000 40000 3849 7635
## 49 0.085531575 45000 40000 45000 603 478
## 141 0.105772240 32000 22000 42000 7368 20721
## 117 0.054082941 34000 23050 42000 10928 5561
## 103 0.068700676 35000 26000 45000 6535 5473
## 155 0.051907830 30000 20800 40000 2960 3948
## 47 0.086273666 45000 26700 60000 2298 1200
## 118 0.112144387 34000 21000 45000 5225 7385
## 132 0.054475193 33000 23000 42000 2856 4159
## 101 0.069162800 35000 20000 50000 6587 6894
## 167 0.081742207 27000 20000 35000 4855 8100
## 129 0.104435710 33000 25000 40000 4122 5695
## 92 0.078584681 35600 25000 40200 8149 10076
## 115 0.075566386 34000 25000 45000 15051 18193
## 80 0.066775872 38000 29600 50000 5577 3174
## 3 0.024096386 73000 50000 105000 456 176
## 134 0.082101621 32400 25000 45000 9364 12889
## 157 0.068584071 30000 20000 49000 1168 3354
## 99 0.063429289 35000 24500 44000 8465 11818
## 159 0.089552239 29000 19200 38300 3948 8707
## 62 0.084361164 40000 29000 47000 7225 3145
## 149 0.084186296 30500 21000 41000 20792 32725
## 82 0.080531385 37400 29000 50000 15654 8394
## 8 0.021167415 62000 31500 109000 972 500
## 135 0.096051684 32200 23000 47100 14444 20313
## 137 0.087723590 32000 23000 41000 57690 71827
## 61 0.055520827 40000 20000 90000 11573 4493
## 87 0.071965016 36000 29200 46000 2002 6454
## 123 0.070724732 33400 24000 45000 88232 81109
## 22 0.096931460 53000 32000 70000 1183 1274
## 136 0.038637747 32100 25000 40000 20821 8260
## 172 0.104945718 22000 20000 22000 288 338
## 16 0.087143069 57100 40000 76000 3603 1595
## 15 0.006334343 58000 25000 74000 2439 947
## 114 0.095666912 34000 25000 47000 35336 54569
## 69 0.073079538 40000 30000 54000 744 1654
## 139 0.051467273 32000 24000 43000 27581 63946
## 145 0.083810867 31500 24000 41000 125148 141860
## 148 0.060298284 31000 23000 40000 5139 9738
## 44 0.048224496 45000 30000 68000 18674 4576
## 73 0.035353535 40000 30000 55000 530 465
## 169 0.065112187 25000 24000 34000 1488 615
## 147 0.074667496 31000 24000 40000 12777 9328
## 126 0.059821207 33000 24000 41000 22215 14616
## 168 0.046320280 26000 20000 39000 2771 2947
## 158 0.062628297 29000 22000 38000 9927 12037
## 150 0.067128194 30000 22900 40000 20985 20133
## 55 0.075236167 41000 20000 60000 1369 921
## 138 0.046585715 32000 23400 38000 108085 36972
## 42 0.047277138 45000 33000 60000 34800 14829
## 88 0.081411250 36000 23000 42000 5652 3835
## 122 0.058545455 33500 23000 48000 4253 2722
## 59 0.113331949 40000 31000 50000 16178 13724
## 111 0.096725743 35000 28600 48000 1096 1692
## 128 0.050306435 33000 24000 40000 17985 6824
## 107 0.066619195 35000 25000 42000 4333 5808
## 142 0.103454715 32000 27000 50000 3602 4778
## 14 0.023042836 60000 39000 65000 2626 391
## 13 0.092083860 60000 36000 70000 6439 2471
## 71 0.108786611 40000 32000 53000 559 1224
## 108 0.048481675 35000 30000 44000 5605 2301
## 85 0.075448568 36200 28000 47000 4858 2792
## 68 0.034117647 40000 34000 45000 1675 678
## 144 0.047263682 32000 28000 39000 4214 1106
## 2 0.117241379 75000 55000 90000 350 257
## 133 0.052228980 32500 25000 38000 10304 3967
## 140 0.078267592 32000 25000 42000 18565 28558
## 124 0.084951001 33000 25000 44000 29051 48899
## 156 0.037819026 30000 24000 35000 2878 4595
## 30 0.128426299 50000 35000 70000 1550 1871
## 1 0.018380527 110000 95000 125000 1534 364
## 151 0.068827920 30000 25000 35000 27449 14416
## 79 0.113458628 38000 30000 50000 5350 6830
## 105 0.119511469 35000 25000 45000 4545 8794
## 170 0.149048198 25000 25000 40000 986 870
## 119 0.016202835 34000 30000 40000 10699 1977
## 32 0.055030385 50000 43000 60000 1017 1269
## 125 0.089836827 33000 25000 45000 12855 25297
## 74 0.053972400 39000 30000 49900 30382 14718
## 113 0.057359929 34000 26000 41000 82007 31112
## 78 0.101174601 38000 28000 50000 36854 66947
## 112 0.000000000 35000 18500 44000 355 144
## 95 0.096797577 35000 25000 45000 37389 38119
## 40 0.071540470 46000 38000 53000 162 1475
## 97 0.055806815 35000 24000 50000 17923 22039
## 127 0.061169193 33000 25000 42000 2325 23341
## 110 0.022228555 35000 28000 50000 1808 1317
## 152 0.050862499 30000 22000 40000 5443 9571
## 131 0.092305816 33000 24000 40000 2630 3906
## 109 0.070860927 35000 25000 44000 5176 3903
## 164 0.040104981 28000 21000 35000 23515 7705
## 51 0.033651660 44000 30000 50000 482 844
## 57 0.096798943 40100 31200 53000 6774 9570
## 154 0.036545830 30000 24000 37000 10766 1949
## 93 0.075176976 35000 27000 45000 40763 97964
## 96 0.069176442 35000 26000 42900 23279 26672
## 5 0.061097712 65000 50000 75000 18314 4440
## 102 0.097243919 35000 25000 45000 3373 10605
## 60 0.096175064 40000 30000 50000 3383 9482
## 31 0.093588575 50000 42000 56000 2028 830
## 34 0.075038285 50000 42800 57000 501 50
## 23 0.087557114 52000 35000 60000 5126 2686
## 65 0.019642463 40000 30000 50000 2418 4717
## 10 0.059173845 60000 45000 72000 45829 10874
## 130 0.059211951 33000 30000 45000 5284 2438
## 48 0.090823307 45000 34000 63000 2437 803
## 100 0.041507819 35000 32000 42000 20185 3797
## 26 0.070609574 50000 40000 60000 28526 9356
## 35 0.044862724 48000 39000 58000 151643 26146
## 37 0.099092317 47000 35000 65000 25582 37057
## 98 0.067960766 35000 27000 47000 9659 23059
## 45 0.036982790 45000 36000 50000 5546 7176
## 143 0.045454545 32000 22900 40000 2089 3545
## 160 0.055676856 29000 20000 36000 563 7384
## 21 0.063172771 53000 39000 70000 68622 25667
## 53 0.000000000 42000 30000 78000 452 67
## 90 0.024373731 36000 21000 41000 784 591
## 72 0.077249576 40000 27000 54000 535 893
## 94 0.082452199 35000 26000 45000 24348 88858
## 89 0.159490600 36000 23000 60000 919 2313
## 84 0.151849807 36400 27000 49000 2593 2941
## 77 0.061215064 38000 30000 50000 25320 93889
## 104 0.089626262 35000 27000 42000 2589 8592
## 9 0.057342278 60000 48000 70000 52844 16384
## 120 0.000000000 34000 29000 35000 346 206
## 63 0.071982974 40000 30000 51000 2236 8937
## 19 0.061930783 54000 38000 65000 1665 649
## 76 0.072218341 38000 29000 50000 36720 148395
## 171 0.053620646 23400 19200 26000 2403 1245
## 161 0.059766764 29000 23000 42100 483 626
## 17 0.042875544 57000 37900 67000 8306 3235
## 11 0.065409275 60000 45000 75000 23694 5721
## 58 0.072861468 40000 30000 55000 29334 100831
## 39 0.028308097 46000 35000 65000 1394 2454
## 83 0.000000000 37000 26000 40000 677 184
## 38 0.096448381 46000 33000 58000 1578 4612
## 29 0.074392523 50000 39000 65000 3445 2426
## 64 0.050030836 40000 25000 50000 1925 6221
## 43 0.093460326 45000 30000 60000 13344 11783
## 86 0.059569649 36000 28000 45000 2406 9629
## 41 0.069749014 45000 34000 56000 11417 39323
## 36 0.060686356 47000 35000 64000 24243 48447
## 18 0.059824231 56000 36000 69000 26898 11734
## 56 0.107579462 41000 41000 43000 509 221
## 46 0.060741445 45000 32500 58000 4390 4102
## 106 0.072724524 35000 22000 52000 4575 6147
## 54 0.113982590 41300 20000 46000 2024 1033
## 27 0.060023041 50000 36000 60000 3275 5351
## 81 0.099723375 37500 25000 50000 2354 3244
## 28 0.047858703 50000 40000 60000 1466 3629
## 12 0.065162085 60000 42000 70000 8184 2425
## 66 0.052538520 40000 30400 56000 2446 3896
## 6 0.177226407 65000 50000 102000 1142 657
## 25 0.058239614 51000 38000 60000 6342 5741
## 75 0.029479503 38400 22500 45000 221 1659
## 7 0.095652174 62000 53000 72000 1768 314
## 67 0.056357078 40000 27000 52000 1861 2121
## 20 0.011689692 54000 50000 54000 402 528
## 4 0.050125313 70000 43000 80000 529 102
## 50 0.056994819 44700 23000 50000 459 996
## Low_wage_jobs calc
## 33 755 0.4118051
## 162 6866 0.4465292
## 146 9286 0.4495195
## 165 1115 0.4557572
## 70 302 0.4571224
## 121 1159 0.4588769
## 166 11068 0.4670538
## 116 3168 0.4675414
## 52 1270 0.4679319
## 24 70 0.4699878
## 163 5125 0.4858381
## 91 37 0.4898148
## 153 2840 0.4912199
## 49 93 0.4938811
## 141 5862 0.5007476
## 117 1806 0.5011864
## 103 2449 0.5012484
## 155 1650 0.5015027
## 47 343 0.5064752
## 118 1854 0.5140573
## 132 976 0.5157548
## 101 2237 0.5181998
## 167 3466 0.5202950
## 129 2085 0.5213614
## 92 3175 0.5233233
## 115 5267 0.5234503
## 80 1246 0.5245225
## 3 0 0.5246914
## 134 3816 0.5248300
## 157 1141 0.5267221
## 99 3677 0.5322587
## 159 3586 0.5330026
## 62 1168 0.5338917
## 149 11880 0.5341410
## 82 3012 0.5368409
## 8 220 0.5419397
## 135 8051 0.5432677
## 137 26503 0.5441748
## 61 1121 0.5493983
## 87 1336 0.5500922
## 123 28339 0.5504046
## 22 485 0.5509686
## 136 2767 0.5511047
## 172 192 0.5525606
## 16 524 0.5531605
## 15 263 0.5554324
## 114 16839 0.5605323
## 69 573 0.5610561
## 139 16838 0.5624673
## 145 48207 0.5664804
## 148 3426 0.5668696
## 44 1823 0.5686902
## 73 269 0.5698080
## 169 82 0.5698824
## 147 2042 0.5737161
## 126 4468 0.5740736
## 168 743 0.5754913
## 158 3304 0.5761507
## 150 5248 0.5770848
## 55 135 0.5778913
## 138 11502 0.5794869
## 42 4569 0.5805086
## 88 1422 0.5823740
## 122 459 0.5847818
## 59 4221 0.5862755
## 111 327 0.5862986
## 128 2819 0.5864096
## 107 1405 0.5894719
## 142 1634 0.5914393
## 14 81 0.5947989
## 13 789 0.5957997
## 71 272 0.6013658
## 108 902 0.6032794
## 85 959 0.6036644
## 68 201 0.6037353
## 144 591 0.6055576
## 2 50 0.6062500
## 133 1385 0.6081635
## 140 9030 0.6096929
## 124 13748 0.6100128
## 156 724 0.6102001
## 30 340 0.6105124
## 1 193 0.6108300
## 151 4344 0.6125494
## 79 1905 0.6137867
## 105 2495 0.6147236
## 170 622 0.6154212
## 119 786 0.6155547
## 32 142 0.6155770
## 125 6429 0.6159717
## 74 4288 0.6162563
## 113 11443 0.6218740
## 78 19803 0.6237055
## 112 0 0.6247961
## 95 14839 0.6257921
## 40 124 0.6271091
## 97 5751 0.6278122
## 127 9063 0.6291113
## 110 237 0.6298455
## 152 2125 0.6325386
## 131 1470 0.6332617
## 109 1061 0.6347622
## 164 2868 0.6373998
## 51 245 0.6390588
## 57 2499 0.6410099
## 154 722 0.6467574
## 93 27440 0.6471584
## 96 8512 0.6477008
## 5 972 0.6498404
## 102 1895 0.6518757
## 60 3046 0.6522380
## 31 260 0.6540396
## 34 49 0.6556291
## 23 696 0.6615815
## 65 839 0.6627645
## 10 3170 0.6687282
## 130 657 0.6691980
## 48 357 0.6728075
## 100 1179 0.6754333
## 26 2899 0.6783300
## 35 6193 0.6789108
## 37 10653 0.6794280
## 98 7214 0.6824339
## 45 1002 0.6847909
## 143 1231 0.6857749
## 160 3163 0.6877457
## 21 5144 0.6948191
## 53 25 0.6994633
## 90 221 0.7015961
## 72 94 0.7028519
## 94 18404 0.7061638
## 89 496 0.7099567
## 84 352 0.7111003
## 77 27968 0.7113305
## 104 1391 0.7122381
## 9 3253 0.7147772
## 120 111 0.7169275
## 63 1758 0.7174558
## 19 137 0.7176699
## 76 32395 0.7236510
## 171 308 0.7249140
## 161 31 0.7255814
## 17 640 0.7258395
## 11 980 0.7266658
## 58 27320 0.7271891
## 39 480 0.7321590
## 83 56 0.7326733
## 38 1284 0.7330035
## 29 365 0.7372106
## 64 1362 0.7378885
## 43 1672 0.7424716
## 86 1906 0.7440270
## 41 10886 0.7441022
## 36 9910 0.7453533
## 18 3192 0.7464779
## 56 0 0.7465753
## 46 608 0.7466856
## 106 557 0.7475950
## 54 263 0.7531471
## 27 703 0.7545655
## 81 308 0.7583346
## 28 285 0.7703201
## 12 372 0.7716618
## 66 386 0.7764596
## 6 244 0.7802908
## 25 708 0.7930908
## 75 81 0.8315140
## 7 259 0.8523352
## 67 406 0.8616818
## 20 144 0.8688172
## 4 0 0.9129288
## 50 186 0.9737485For the second part of the problem, we analyze the share of women in Stem fields in descending and ascending order.
It’s interesting to note that nursing is one of the three STEM fields with the highest share of women, the other two fields confirm that it’s low-paying STEM majors that attract the highest share of women. For example, Communications Disorders Sciences & Services has the highest share of women in STEM fields enrolled but is also one of the lowest paying majors.
Stem_Women <- read.csv(url("https://raw.githubusercontent.com/fivethirtyeight/data/master/college-majors/women-stem.csv"))# Identify the top three majors with the highest share of women in STEM fields
Stem_Women1 <- Stem_Women[order(-Stem_Women$ShareWomen),]
# Identify the top three majors with the lowest share of women in STEM fields
Stem_Women2 <- Stem_Women[order(Stem_Women$ShareWomen),]
# Bar plot with Color for the Top 3 Majors with the highest share of women in STEM fields
barplot(Stem_Women1$ShareWomen, main="Top 3 Majors with the highest share of women in STEM fields", xlab="Majors with the highest share of women in STEM fields", ylab="STEM share of women (%)", col=c("darkblue", "red"), names.arg= as.matrix(Stem_Women1$Major), cex.names = 0.3, cex.lab = 1, cex.axis = 0.7, las = 2)
Top_3_STEM <- c("COMMUNICATION DISORDERS SCIENCES AND SERVICES" = 96.8, "MEDICAL ASSISTING SERVICES" = 92.8, "NURSING" = 89.6)
barplot(Top_3_STEM, main ="Top 3 Majors with the highest share of women in STEM fields", xlab = "Majors with the highest share of women", ylab = "STEM share of women (%)", col=c("darkblue", "red", "green"),cex.names = 0.5)
# Bar plot with Color for the Top 3 Majors with the lowest share of women in STEM fields
barplot(Stem_Women2$ShareWomen, main="Top 3 Majors with the lowest share of women in STEM fields", xlab="Majors with the lowest share of women in STEM fields", ylab="STEM share of women (%)", col=c("darkblue", "red"), names.arg= as.matrix(Stem_Women2$Major), cex.names = 0.3, cex.lab = 1, cex.axis = 0.7, las = 2)
Bottom_3_STEM <- c("MECHANICAL ENGINEERING RELATED TECHNOLOGIES" = 7.7, "MINING AND MINERAL ENGINEERING" = 10.2, "NAVAL ARCHITECTURE AND MARINE ENGINEERING" = 10.7)
barplot(Bottom_3_STEM, main ="Top 3 Majors with the lowest share of women in STEM fields", xlab = "Majors with the lowest share of women in STEM fields", ylab = "STEM share of women (%)", col=c("darkblue", "red", "green"),cex.names = 0.5)
# Identify the top three lowest-paying STEM majors
Stem_Women3 <- Stem_Women[order(Stem_Women$Median),]We could also have used small multiples as a display for the majors, below is how we would do this. We see how below in the case of women’s share of STEM majors displayed as small multiples, we can clearly see that the share of women in STEM majors such as computers and engineering is low versus high in Health (i.e. fields such as nursing)
ggplot(Stem_Women, aes(x = Major, y = ShareWomen)) +
geom_bar(stat = "identity")+
facet_wrap(~Major_category)+
labs(title = "Women's share of STEM majors")+
theme(axis.ticks = element_blank(), axis.text.x = element_blank(), legend.position = "none")