Week Three Assignment
Md Asaduzzaman
2024-09-16
#install.packages("tidyverse")
#install.packages("DBI")
#install.packages("odbc")
#install.packages("RSQLite")
#install.packages("dblyr")
#install.packages("RMySQL")library(DBI)
library(odbc)
library(RSQLite)
library(dbplyr)
library(RMySQL)##
## Attaching package: 'RMySQL'## The following object is masked from 'package:RSQLite':
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## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorslibrary(tidyverse, quietly=TRUE)R Markdown
This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.
When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
major_data <- read.csv("https://raw.githubusercontent.com/fivethirtyeight/data/master/college-majors/majors-list.csv")
data## function (..., list = character(), package = NULL, lib.loc = NULL,
## verbose = getOption("verbose"), envir = .GlobalEnv, overwrite = TRUE)
## {
## fileExt <- function(x) {
## db <- grepl("\\.[^.]+\\.(gz|bz2|xz)$", x)
## ans <- sub(".*\\.", "", x)
## ans[db] <- sub(".*\\.([^.]+\\.)(gz|bz2|xz)$", "\\1\\2",
## x[db])
## ans
## }
## my_read_table <- function(...) {
## lcc <- Sys.getlocale("LC_COLLATE")
## on.exit(Sys.setlocale("LC_COLLATE", lcc))
## Sys.setlocale("LC_COLLATE", "C")
## read.table(...)
## }
## stopifnot(is.character(list))
## names <- c(as.character(substitute(list(...))[-1L]), list)
## if (!is.null(package)) {
## if (!is.character(package))
## stop("'package' must be a character vector or NULL")
## }
## paths <- find.package(package, lib.loc, verbose = verbose)
## if (is.null(lib.loc))
## paths <- c(path.package(package, TRUE), if (!length(package)) getwd(),
## paths)
## paths <- unique(normalizePath(paths[file.exists(paths)]))
## paths <- paths[dir.exists(file.path(paths, "data"))]
## dataExts <- tools:::.make_file_exts("data")
## if (length(names) == 0L) {
## db <- matrix(character(), nrow = 0L, ncol = 4L)
## for (path in paths) {
## entries <- NULL
## packageName <- if (file_test("-f", file.path(path,
## "DESCRIPTION")))
## basename(path)
## else "."
## if (file_test("-f", INDEX <- file.path(path, "Meta",
## "data.rds"))) {
## entries <- readRDS(INDEX)
## }
## else {
## dataDir <- file.path(path, "data")
## entries <- tools::list_files_with_type(dataDir,
## "data")
## if (length(entries)) {
## entries <- unique(tools::file_path_sans_ext(basename(entries)))
## entries <- cbind(entries, "")
## }
## }
## if (NROW(entries)) {
## if (is.matrix(entries) && ncol(entries) == 2L)
## db <- rbind(db, cbind(packageName, dirname(path),
## entries))
## else warning(gettextf("data index for package %s is invalid and will be ignored",
## sQuote(packageName)), domain = NA, call. = FALSE)
## }
## }
## colnames(db) <- c("Package", "LibPath", "Item", "Title")
## footer <- if (missing(package))
## paste0("Use ", sQuote(paste("data(package =", ".packages(all.available = TRUE))")),
## "\n", "to list the data sets in all *available* packages.")
## else NULL
## y <- list(title = "Data sets", header = NULL, results = db,
## footer = footer)
## class(y) <- "packageIQR"
## return(y)
## }
## paths <- file.path(paths, "data")
## for (name in names) {
## found <- FALSE
## for (p in paths) {
## tmp_env <- if (overwrite)
## envir
## else new.env()
## if (file_test("-f", file.path(p, "Rdata.rds"))) {
## rds <- readRDS(file.path(p, "Rdata.rds"))
## if (name %in% names(rds)) {
## found <- TRUE
## if (verbose)
## message(sprintf("name=%s:\t found in Rdata.rds",
## name), domain = NA)
## thispkg <- sub(".*/([^/]*)/data$", "\\1", p)
## thispkg <- sub("_.*$", "", thispkg)
## thispkg <- paste0("package:", thispkg)
## objs <- rds[[name]]
## lazyLoad(file.path(p, "Rdata"), envir = tmp_env,
## filter = function(x) x %in% objs)
## break
## }
## else if (verbose)
## message(sprintf("name=%s:\t NOT found in names() of Rdata.rds, i.e.,\n\t%s\n",
## name, paste(names(rds), collapse = ",")),
## domain = NA)
## }
## files <- list.files(p, full.names = TRUE)
## files <- files[grep(name, files, fixed = TRUE)]
## if (length(files) > 1L) {
## o <- match(fileExt(files), dataExts, nomatch = 100L)
## paths0 <- dirname(files)
## paths0 <- factor(paths0, levels = unique(paths0))
## files <- files[order(paths0, o)]
## }
## if (length(files)) {
## for (file in files) {
## if (verbose)
## message("name=", name, ":\t file= ...", .Platform$file.sep,
## basename(file), "::\t", appendLF = FALSE,
## domain = NA)
## ext <- fileExt(file)
## if (basename(file) != paste0(name, ".", ext))
## found <- FALSE
## else {
## found <- TRUE
## switch(ext, R = , r = {
## library("utils")
## sys.source(file, chdir = TRUE, envir = tmp_env)
## }, RData = , rdata = , rda = load(file, envir = tmp_env),
## TXT = , txt = , tab = , tab.gz = , tab.bz2 = ,
## tab.xz = , txt.gz = , txt.bz2 = , txt.xz = assign(name,
## my_read_table(file, header = TRUE, as.is = FALSE),
## envir = tmp_env), CSV = , csv = , csv.gz = ,
## csv.bz2 = , csv.xz = assign(name, my_read_table(file,
## header = TRUE, sep = ";", as.is = FALSE),
## envir = tmp_env), found <- FALSE)
## }
## if (found)
## break
## }
## if (verbose)
## message(if (!found)
## "*NOT* ", "found", domain = NA)
## }
## if (found)
## break
## }
## if (!found) {
## warning(gettextf("data set %s not found", sQuote(name)),
## domain = NA)
## }
## else if (!overwrite) {
## for (o in ls(envir = tmp_env, all.names = TRUE)) {
## if (exists(o, envir = envir, inherits = FALSE))
## warning(gettextf("an object named %s already exists and will not be overwritten",
## sQuote(o)))
## else assign(o, get(o, envir = tmp_env, inherits = FALSE),
## envir = envir)
## }
## rm(tmp_env)
## }
## }
## invisible(names)
## }
## <bytecode: 0x000001eb8fa62778>
## <environment: namespace:utils>data <- read.csv("https://raw.githubusercontent.com/fivethirtyeight/data/master/college-majors/all-ages.csv")
data## Major_code
## 1 1100
## 2 1101
## 3 1102
## 4 1103
## 5 1104
## 6 1105
## 7 1106
## 8 1199
## 9 1301
## 10 1302
## 11 1303
## 12 1401
## 13 1501
## 14 1901
## 15 1902
## 16 1903
## 17 1904
## 18 2001
## 19 2100
## 20 2101
## 21 2102
## 22 2105
## 23 2106
## 24 2107
## 25 2201
## 26 2300
## 27 2301
## 28 2303
## 29 2304
## 30 2305
## 31 2306
## 32 2307
## 33 2308
## 34 2309
## 35 2310
## 36 2311
## 37 2312
## 38 2313
## 39 2314
## 40 2399
## 41 2400
## 42 2401
## 43 2402
## 44 2403
## 45 2404
## 46 2405
## 47 2406
## 48 2407
## 49 2408
## 50 2409
## 51 2410
## 52 2411
## 53 2412
## 54 2413
## 55 2414
## 56 2415
## 57 2416
## 58 2417
## 59 2418
## 60 2419
## 61 2499
## 62 2500
## 63 2501
## 64 2502
## 65 2503
## 66 2504
## 67 2599
## 68 2601
## 69 2602
## 70 2603
## 71 2901
## 72 3201
## 73 3202
## 74 3301
## 75 3302
## 76 3401
## 77 3402
## 78 3501
## 79 3600
## 80 3601
## 81 3602
## 82 3603
## 83 3604
## 84 3605
## 85 3606
## 86 3607
## 87 3608
## 88 3609
## 89 3611
## 90 3699
## 91 3700
## 92 3701
## 93 3702
## 94 3801
## 95 4000
## 96 4001
## 97 4002
## 98 4005
## 99 4006
## 100 4007
## 101 4101
## 102 4801
## 103 4901
## 104 5000
## 105 5001
## 106 5002
## 107 5003
## 108 5004
## 109 5005
## 110 5006
## 111 5007
## 112 5008
## 113 5098
## 114 5102
## 115 5200
## 116 5201
## 117 5202
## 118 5203
## 119 5205
## 120 5206
## 121 5299
## 122 5301
## 123 5401
## 124 5402
## 125 5403
## 126 5404
## 127 5500
## 128 5501
## 129 5502
## 130 5503
## 131 5504
## 132 5505
## 133 5506
## 134 5507
## 135 5599
## 136 5601
## 137 5701
## 138 5901
## 139 6000
## 140 6001
## 141 6002
## 142 6003
## 143 6004
## 144 6005
## 145 6006
## 146 6007
## 147 6099
## 148 6100
## 149 6102
## 150 6103
## 151 6104
## 152 6105
## 153 6106
## 154 6107
## 155 6108
## 156 6109
## 157 6110
## 158 6199
## 159 6200
## 160 6201
## 161 6202
## 162 6203
## 163 6204
## 164 6205
## 165 6206
## 166 6207
## 167 6209
## 168 6210
## 169 6211
## 170 6212
## 171 6299
## 172 6402
## 173 6403
## Major
## 1 GENERAL AGRICULTURE
## 2 AGRICULTURE PRODUCTION AND MANAGEMENT
## 3 AGRICULTURAL ECONOMICS
## 4 ANIMAL SCIENCES
## 5 FOOD SCIENCE
## 6 PLANT SCIENCE AND AGRONOMY
## 7 SOIL SCIENCE
## 8 MISCELLANEOUS AGRICULTURE
## 9 ENVIRONMENTAL SCIENCE
## 10 FORESTRY
## 11 NATURAL RESOURCES MANAGEMENT
## 12 ARCHITECTURE
## 13 AREA ETHNIC AND CIVILIZATION STUDIES
## 14 COMMUNICATIONS
## 15 JOURNALISM
## 16 MASS MEDIA
## 17 ADVERTISING AND PUBLIC RELATIONS
## 18 COMMUNICATION TECHNOLOGIES
## 19 COMPUTER AND INFORMATION SYSTEMS
## 20 COMPUTER PROGRAMMING AND DATA PROCESSING
## 21 COMPUTER SCIENCE
## 22 INFORMATION SCIENCES
## 23 COMPUTER ADMINISTRATION MANAGEMENT AND SECURITY
## 24 COMPUTER NETWORKING AND TELECOMMUNICATIONS
## 25 COSMETOLOGY SERVICES AND CULINARY ARTS
## 26 GENERAL EDUCATION
## 27 EDUCATIONAL ADMINISTRATION AND SUPERVISION
## 28 SCHOOL STUDENT COUNSELING
## 29 ELEMENTARY EDUCATION
## 30 MATHEMATICS TEACHER EDUCATION
## 31 PHYSICAL AND HEALTH EDUCATION TEACHING
## 32 EARLY CHILDHOOD EDUCATION
## 33 SCIENCE AND COMPUTER TEACHER EDUCATION
## 34 SECONDARY TEACHER EDUCATION
## 35 SPECIAL NEEDS EDUCATION
## 36 SOCIAL SCIENCE OR HISTORY TEACHER EDUCATION
## 37 TEACHER EDUCATION: MULTIPLE LEVELS
## 38 LANGUAGE AND DRAMA EDUCATION
## 39 ART AND MUSIC EDUCATION
## 40 MISCELLANEOUS EDUCATION
## 41 GENERAL ENGINEERING
## 42 AEROSPACE ENGINEERING
## 43 BIOLOGICAL ENGINEERING
## 44 ARCHITECTURAL ENGINEERING
## 45 BIOMEDICAL ENGINEERING
## 46 CHEMICAL ENGINEERING
## 47 CIVIL ENGINEERING
## 48 COMPUTER ENGINEERING
## 49 ELECTRICAL ENGINEERING
## 50 ENGINEERING MECHANICS PHYSICS AND SCIENCE
## 51 ENVIRONMENTAL ENGINEERING
## 52 GEOLOGICAL AND GEOPHYSICAL ENGINEERING
## 53 INDUSTRIAL AND MANUFACTURING ENGINEERING
## 54 MATERIALS ENGINEERING AND MATERIALS SCIENCE
## 55 MECHANICAL ENGINEERING
## 56 METALLURGICAL ENGINEERING
## 57 MINING AND MINERAL ENGINEERING
## 58 NAVAL ARCHITECTURE AND MARINE ENGINEERING
## 59 NUCLEAR ENGINEERING
## 60 PETROLEUM ENGINEERING
## 61 MISCELLANEOUS ENGINEERING
## 62 ENGINEERING TECHNOLOGIES
## 63 ENGINEERING AND INDUSTRIAL MANAGEMENT
## 64 ELECTRICAL ENGINEERING TECHNOLOGY
## 65 INDUSTRIAL PRODUCTION TECHNOLOGIES
## 66 MECHANICAL ENGINEERING RELATED TECHNOLOGIES
## 67 MISCELLANEOUS ENGINEERING TECHNOLOGIES
## 68 LINGUISTICS AND COMPARATIVE LANGUAGE AND LITERATURE
## 69 FRENCH GERMAN LATIN AND OTHER COMMON FOREIGN LANGUAGE STUDIES
## 70 OTHER FOREIGN LANGUAGES
## 71 FAMILY AND CONSUMER SCIENCES
## 72 COURT REPORTING
## 73 PRE-LAW AND LEGAL STUDIES
## 74 ENGLISH LANGUAGE AND LITERATURE
## 75 COMPOSITION AND RHETORIC
## 76 LIBERAL ARTS
## 77 HUMANITIES
## 78 LIBRARY SCIENCE
## 79 BIOLOGY
## 80 BIOCHEMICAL SCIENCES
## 81 BOTANY
## 82 MOLECULAR BIOLOGY
## 83 ECOLOGY
## 84 GENETICS
## 85 MICROBIOLOGY
## 86 PHARMACOLOGY
## 87 PHYSIOLOGY
## 88 ZOOLOGY
## 89 NEUROSCIENCE
## 90 MISCELLANEOUS BIOLOGY
## 91 MATHEMATICS
## 92 APPLIED MATHEMATICS
## 93 STATISTICS AND DECISION SCIENCE
## 94 MILITARY TECHNOLOGIES
## 95 MULTI/INTERDISCIPLINARY STUDIES
## 96 INTERCULTURAL AND INTERNATIONAL STUDIES
## 97 NUTRITION SCIENCES
## 98 MATHEMATICS AND COMPUTER SCIENCE
## 99 COGNITIVE SCIENCE AND BIOPSYCHOLOGY
## 100 INTERDISCIPLINARY SOCIAL SCIENCES
## 101 PHYSICAL FITNESS PARKS RECREATION AND LEISURE
## 102 PHILOSOPHY AND RELIGIOUS STUDIES
## 103 THEOLOGY AND RELIGIOUS VOCATIONS
## 104 PHYSICAL SCIENCES
## 105 ASTRONOMY AND ASTROPHYSICS
## 106 ATMOSPHERIC SCIENCES AND METEOROLOGY
## 107 CHEMISTRY
## 108 GEOLOGY AND EARTH SCIENCE
## 109 GEOSCIENCES
## 110 OCEANOGRAPHY
## 111 PHYSICS
## 112 MATERIALS SCIENCE
## 113 MULTI-DISCIPLINARY OR GENERAL SCIENCE
## 114 NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES
## 115 PSYCHOLOGY
## 116 EDUCATIONAL PSYCHOLOGY
## 117 CLINICAL PSYCHOLOGY
## 118 COUNSELING PSYCHOLOGY
## 119 INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY
## 120 SOCIAL PSYCHOLOGY
## 121 MISCELLANEOUS PSYCHOLOGY
## 122 CRIMINAL JUSTICE AND FIRE PROTECTION
## 123 PUBLIC ADMINISTRATION
## 124 PUBLIC POLICY
## 125 HUMAN SERVICES AND COMMUNITY ORGANIZATION
## 126 SOCIAL WORK
## 127 GENERAL SOCIAL SCIENCES
## 128 ECONOMICS
## 129 ANTHROPOLOGY AND ARCHEOLOGY
## 130 CRIMINOLOGY
## 131 GEOGRAPHY
## 132 INTERNATIONAL RELATIONS
## 133 POLITICAL SCIENCE AND GOVERNMENT
## 134 SOCIOLOGY
## 135 MISCELLANEOUS SOCIAL SCIENCES
## 136 CONSTRUCTION SERVICES
## 137 ELECTRICAL, MECHANICAL, AND PRECISION TECHNOLOGIES AND PRODUCTION
## 138 TRANSPORTATION SCIENCES AND TECHNOLOGIES
## 139 FINE ARTS
## 140 DRAMA AND THEATER ARTS
## 141 MUSIC
## 142 VISUAL AND PERFORMING ARTS
## 143 COMMERCIAL ART AND GRAPHIC DESIGN
## 144 FILM VIDEO AND PHOTOGRAPHIC ARTS
## 145 ART HISTORY AND CRITICISM
## 146 STUDIO ARTS
## 147 MISCELLANEOUS FINE ARTS
## 148 GENERAL MEDICAL AND HEALTH SERVICES
## 149 COMMUNICATION DISORDERS SCIENCES AND SERVICES
## 150 HEALTH AND MEDICAL ADMINISTRATIVE SERVICES
## 151 MEDICAL ASSISTING SERVICES
## 152 MEDICAL TECHNOLOGIES TECHNICIANS
## 153 HEALTH AND MEDICAL PREPARATORY PROGRAMS
## 154 NURSING
## 155 PHARMACY PHARMACEUTICAL SCIENCES AND ADMINISTRATION
## 156 TREATMENT THERAPY PROFESSIONS
## 157 COMMUNITY AND PUBLIC HEALTH
## 158 MISCELLANEOUS HEALTH MEDICAL PROFESSIONS
## 159 GENERAL BUSINESS
## 160 ACCOUNTING
## 161 ACTUARIAL SCIENCE
## 162 BUSINESS MANAGEMENT AND ADMINISTRATION
## 163 OPERATIONS LOGISTICS AND E-COMMERCE
## 164 BUSINESS ECONOMICS
## 165 MARKETING AND MARKETING RESEARCH
## 166 FINANCE
## 167 HUMAN RESOURCES AND PERSONNEL MANAGEMENT
## 168 INTERNATIONAL BUSINESS
## 169 HOSPITALITY MANAGEMENT
## 170 MANAGEMENT INFORMATION SYSTEMS AND STATISTICS
## 171 MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION
## 172 HISTORY
## 173 UNITED STATES HISTORY
## Major_category Total Employed
## 1 Agriculture & Natural Resources 128148 90245
## 2 Agriculture & Natural Resources 95326 76865
## 3 Agriculture & Natural Resources 33955 26321
## 4 Agriculture & Natural Resources 103549 81177
## 5 Agriculture & Natural Resources 24280 17281
## 6 Agriculture & Natural Resources 79409 63043
## 7 Agriculture & Natural Resources 6586 4926
## 8 Agriculture & Natural Resources 8549 6392
## 9 Biology & Life Science 106106 87602
## 10 Agriculture & Natural Resources 69447 48228
## 11 Agriculture & Natural Resources 83188 65937
## 12 Engineering 294692 216770
## 13 Humanities & Liberal Arts 103740 75798
## 14 Communications & Journalism 987676 790696
## 15 Communications & Journalism 418104 314438
## 16 Communications & Journalism 211213 170474
## 17 Communications & Journalism 186829 147433
## 18 Computers & Mathematics 62141 49609
## 19 Computers & Mathematics 253782 218248
## 20 Computers & Mathematics 29317 22828
## 21 Computers & Mathematics 783292 656372
## 22 Computers & Mathematics 77805 66393
## 23 Computers & Mathematics 39362 32366
## 24 Computers & Mathematics 51771 44071
## 25 Industrial Arts & Consumer Services 42325 33388
## 26 Education 1438867 843693
## 27 Education 4037 3113
## 28 Education 2396 1492
## 29 Education 1446701 819393
## 30 Education 68808 47203
## 31 Education 281661 193542
## 32 Education 157079 113460
## 33 Education 56477 36224
## 34 Education 224262 129486
## 35 Education 149689 108272
## 36 Education 127022 78785
## 37 Education 88067 58885
## 38 Education 181445 111347
## 39 Education 231861 155159
## 40 Education 225553 126054
## 41 Engineering 503080 359172
## 42 Engineering 65734 44944
## 43 Engineering 32748 24270
## 44 Engineering 19587 13713
## 45 Engineering 18347 12876
## 46 Engineering 188046 131697
## 47 Engineering 358593 262831
## 48 Engineering 154160 128742
## 49 Engineering 671647 489965
## 50 Engineering 20582 14909
## 51 Engineering 13016 9849
## 52 Engineering 6264 4120
## 53 Engineering 138366 101273
## 54 Engineering 21430 14687
## 55 Engineering 581529 422207
## 56 Engineering 12818 6939
## 57 Engineering 10746 7416
## 58 Engineering 16094 10690
## 59 Engineering 9826 7320
## 60 Engineering 19631 14002
## 61 Engineering 57006 43906
## 62 Engineering 37382 30102
## 63 Engineering 47098 27275
## 64 Engineering 94697 73737
## 65 Engineering 82142 65401
## 66 Engineering 29348 24190
## 67 Engineering 64196 53097
## 68 Humanities & Liberal Arts 75791 45657
## 69 Humanities & Liberal Arts 236342 153654
## 70 Humanities & Liberal Arts 57793 34696
## 71 Industrial Arts & Consumer Services 402038 241585
## 72 Law & Public Policy 9330 7270
## 73 Law & Public Policy 67037 49259
## 74 Humanities & Liberal Arts 1098647 708882
## 75 Humanities & Liberal Arts 59211 44913
## 76 Humanities & Liberal Arts 601221 404932
## 77 Humanities & Liberal Arts 46188 29971
## 78 Education 16193 7091
## 79 Biology & Life Science 839454 583079
## 80 Biology & Life Science 75322 52594
## 81 Biology & Life Science 14135 9284
## 82 Biology & Life Science 28197 20221
## 83 Biology & Life Science 45368 36708
## 84 Biology & Life Science 6362 4747
## 85 Biology & Life Science 68885 45422
## 86 Biology & Life Science 5015 3481
## 87 Biology & Life Science 43984 31394
## 88 Biology & Life Science 55395 35714
## 89 Biology & Life Science 13676 8987
## 90 Biology & Life Science 29389 22298
## 91 Computers & Mathematics 432806 280902
## 92 Computers & Mathematics 19112 15136
## 93 Computers & Mathematics 24806 18808
## 94 Industrial Arts & Consumer Services 4315 1650
## 95 Interdisciplinary 45199 35706
## 96 Humanities & Liberal Arts 56580 43114
## 97 Health 64534 43878
## 98 Computers & Mathematics 7184 5874
## 99 Biology & Life Science 6898 5527
## 100 Social Science 61871 43312
## 101 Industrial Arts & Consumer Services 350409 286683
## 102 Humanities & Liberal Arts 205763 138734
## 103 Humanities & Liberal Arts 232865 164827
## 104 Physical Sciences 8856 5872
## 105 Physical Sciences 4700 3400
## 106 Physical Sciences 14051 11252
## 107 Physical Sciences 308062 198075
## 108 Physical Sciences 107902 75698
## 109 Physical Sciences 8267 6129
## 110 Physical Sciences 10741 7882
## 111 Physical Sciences 122620 80797
## 112 Engineering 7208 5866
## 113 Physical Sciences 427953 308461
## 114 Physical Sciences 12166 9560
## 115 Psychology & Social Work 1484075 1055854
## 116 Psychology & Social Work 14041 8751
## 117 Psychology & Social Work 7638 5128
## 118 Psychology & Social Work 17633 13071
## 119 Psychology & Social Work 17969 11878
## 120 Psychology & Social Work 10871 6897
## 121 Psychology & Social Work 34102 23921
## 122 Law & Public Policy 757141 613369
## 123 Law & Public Policy 54636 37879
## 124 Law & Public Policy 14782 11147
## 125 Psychology & Social Work 81786 61402
## 126 Psychology & Social Work 319163 225081
## 127 Social Science 127363 80165
## 128 Social Science 757616 535446
## 129 Humanities & Liberal Arts 143087 102399
## 130 Social Science 75085 59534
## 131 Social Science 115423 83671
## 132 Social Science 77371 56564
## 133 Social Science 748956 541630
## 134 Social Science 674558 459174
## 135 Social Science 15882 12307
## 136 Industrial Arts & Consumer Services 92346 79055
## 137 Industrial Arts & Consumer Services 15726 12607
## 138 Industrial Arts & Consumer Services 126639 98814
## 139 Arts 571961 386961
## 140 Arts 174817 135071
## 141 Arts 276262 192704
## 142 Arts 55141 41098
## 143 Arts 504657 379980
## 144 Arts 133508 107651
## 145 Humanities & Liberal Arts 90852 61295
## 146 Arts 81008 58799
## 147 Arts 8511 6431
## 148 Health 104516 78198
## 149 Health 74977 49393
## 150 Health 108510 85360
## 151 Health 64316 51279
## 152 Health 164990 121479
## 153 Health 32514 19009
## 154 Health 1769892 1325711
## 155 Health 180084 124058
## 156 Health 252138 199174
## 157 Health 56741 42543
## 158 Health 77647 52610
## 159 Business 2148712 1580978
## 160 Business 1779219 1335825
## 161 Business 9763 7846
## 162 Business 3123510 2354398
## 163 Business 57200 47341
## 164 Business 75547 57983
## 165 Business 1114624 890125
## 166 Business 816548 670681
## 167 Business 187274 142879
## 168 Business 86064 66453
## 169 Business 200854 163393
## 170 Business 156673 134478
## 171 Business 102753 77471
## 172 Humanities & Liberal Arts 712509 478416
## 173 Humanities & Liberal Arts 17746 11887
## Employed_full_time_year_round Unemployed Unemployment_rate Median P25th
## 1 74078 2423 0.02614711 50000 34000
## 2 64240 2266 0.02863606 54000 36000
## 3 22810 821 0.03024832 63000 40000
## 4 64937 3619 0.04267890 46000 30000
## 5 12722 894 0.04918845 62000 38500
## 6 51077 2070 0.03179089 50000 35000
## 7 4042 264 0.05086705 63000 39400
## 8 5074 261 0.03923042 52000 35000
## 9 65238 4736 0.05128983 52000 38000
## 10 39613 2144 0.04256333 58000 40500
## 11 50595 3789 0.05434128 52000 37100
## 12 163020 20394 0.08599113 63000 40400
## 13 50530 5525 0.06793896 46000 32000
## 14 595739 54390 0.06436031 50000 35000
## 15 235407 20754 0.06191675 50000 35000
## 16 125489 15431 0.08300476 48000 32000
## 17 111552 10624 0.06721626 50000 34000
## 18 37261 4609 0.08500867 50000 34500
## 19 189950 11945 0.05189124 65000 45000
## 20 18747 2265 0.09026422 60000 40000
## 21 561052 34196 0.04951866 78000 51000
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## P75th
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## 173 81000library(odbc)
# Creating connection
mysqldbTBConn = dbConnect(RMySQL::MySQL(),
dbname= 'md.asaduzzaman39',
host= 'cunydata607sql.mysql.database.azure.com',
port=3306,
user='md.asaduzzaman39',
password='c1706f410226ffca')
dbListTables(mysqldbTBConn)## [1] "airline_data" "customer" "customer_product" "department"
## [5] "movie_rating" "product"result = dbSendQuery(mysqldbTBConn,"select * from customer_product")
customerProduct <- fetch(result)
print(customerProduct)## customer_id product_id department_id customer_name product_name
## 1 101 111 1 John Computer
## 2 102 112 2 Mark phone
## department_name customer_phone Product_date
## 1 electronic 1213 2024-09-23
## 2 electronic 1234 2024-07-12result = dbSendQuery(mysqldbTBConn,"select * from customer")
customerr <- fetch(result)
print(customerr)## customer_id customer_name customer_phone
## 1 101 John 1213
## 2 102 Mark 1234result1 = dbSendQuery(mysqldbTBConn,"select * from product")
Product <- fetch(result1)
print(Product)## product_id product_name product_date
## 1 111 computer 2024-09-23
## 2 112 phone 2024-07-12result2 = dbSendQuery(mysqldbTBConn,"select * from department")
department <- fetch(result2)
print(department) ## department_id department_name
## 1 1 electronic
## 2 2 electronic# create datafram from other dataframe
dataframe1 <- data[,c("Major_code","Major","Major_category","Total","Employed","Unemployed")]table1<- table(dataframe1$Major_code, dataframe1$Major,dataframe1$Major_category)
table1## , , = Agriculture & Natural Resources
##
##
## ACCOUNTING ACTUARIAL SCIENCE ADVERTISING AND PUBLIC RELATIONS
## 1100 0 0 0
## 1101 0 0 0
## 1102 0 0 0
## 1103 0 0 0
## 1104 0 0 0
## 1105 0 0 0
## 1106 0 0 0
## 1199 0 0 0
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## 6210 0 0 0
## 6211 0 0 0
## 6212 0 0 0
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## 6402 0 0 0
## 6403 0 0 0
##
## AEROSPACE ENGINEERING AGRICULTURAL ECONOMICS
## 1100 0 0
## 1101 0 0
## 1102 0 1
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
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## 2309 0 0
## 2310 0 0
## 2311 0 0
## 2312 0 0
## 2313 0 0
## 2314 0 0
## 2399 0 0
## 2400 0 0
## 2401 0 0
## 2402 0 0
## 2403 0 0
## 2404 0 0
## 2405 0 0
## 2406 0 0
## 2407 0 0
## 2408 0 0
## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
## 2419 0 0
## 2499 0 0
## 2500 0 0
## 2501 0 0
## 2502 0 0
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## 2504 0 0
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## 3201 0 0
## 3202 0 0
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## 3302 0 0
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## 3402 0 0
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## 3605 0 0
## 3606 0 0
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## 3608 0 0
## 3609 0 0
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## 3702 0 0
## 3801 0 0
## 4000 0 0
## 4001 0 0
## 4002 0 0
## 4005 0 0
## 4006 0 0
## 4007 0 0
## 4101 0 0
## 4801 0 0
## 4901 0 0
## 5000 0 0
## 5001 0 0
## 5002 0 0
## 5003 0 0
## 5004 0 0
## 5005 0 0
## 5006 0 0
## 5007 0 0
## 5008 0 0
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## 5200 0 0
## 5201 0 0
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##
## AGRICULTURE PRODUCTION AND MANAGEMENT ANIMAL SCIENCES
## 1100 0 0
## 1101 1 0
## 1102 0 0
## 1103 0 1
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## 1106 0 0
## 1199 0 0
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##
## ANTHROPOLOGY AND ARCHEOLOGY APPLIED MATHEMATICS
## 1100 0 0
## 1101 0 0
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## 1199 0 0
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## COGNITIVE SCIENCE AND BIOPSYCHOLOGY COMMERCIAL ART AND GRAPHIC DESIGN
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## COMPUTER ADMINISTRATION MANAGEMENT AND SECURITY
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## MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION MISCELLANEOUS EDUCATION
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## MISCELLANEOUS ENGINEERING MISCELLANEOUS ENGINEERING TECHNOLOGIES
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## MISCELLANEOUS FINE ARTS MISCELLANEOUS HEALTH MEDICAL PROFESSIONS
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## MISCELLANEOUS PSYCHOLOGY MISCELLANEOUS SOCIAL SCIENCES MOLECULAR BIOLOGY
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## MULTI-DISCIPLINARY OR GENERAL SCIENCE MULTI/INTERDISCIPLINARY STUDIES
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## MUSIC NATURAL RESOURCES MANAGEMENT
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## NAVAL ARCHITECTURE AND MARINE ENGINEERING NEUROSCIENCE
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## NUCLEAR ENGINEERING
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## NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES NURSING
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## NUTRITION SCIENCES OCEANOGRAPHY OPERATIONS LOGISTICS AND E-COMMERCE
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## OTHER FOREIGN LANGUAGES PETROLEUM ENGINEERING PHARMACOLOGY
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## PHARMACY PHARMACEUTICAL SCIENCES AND ADMINISTRATION
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## PHILOSOPHY AND RELIGIOUS STUDIES PHYSICAL AND HEALTH EDUCATION TEACHING
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## , , = Arts
##
##
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## GEOSCIENCES HEALTH AND MEDICAL ADMINISTRATIVE SERVICES
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## HEALTH AND MEDICAL PREPARATORY PROGRAMS HISTORY HOSPITALITY MANAGEMENT
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## HUMAN RESOURCES AND PERSONNEL MANAGEMENT
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## INDUSTRIAL AND MANUFACTURING ENGINEERING
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## INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY
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## MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION MISCELLANEOUS EDUCATION
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## MISCELLANEOUS FINE ARTS MISCELLANEOUS HEALTH MEDICAL PROFESSIONS
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## MULTI-DISCIPLINARY OR GENERAL SCIENCE MULTI/INTERDISCIPLINARY STUDIES
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## MUSIC NATURAL RESOURCES MANAGEMENT
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## NAVAL ARCHITECTURE AND MARINE ENGINEERING NEUROSCIENCE
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## NUCLEAR ENGINEERING
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## NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES NURSING
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## NUTRITION SCIENCES OCEANOGRAPHY OPERATIONS LOGISTICS AND E-COMMERCE
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## OTHER FOREIGN LANGUAGES PETROLEUM ENGINEERING PHARMACOLOGY
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## MULTI-DISCIPLINARY OR GENERAL SCIENCE MULTI/INTERDISCIPLINARY STUDIES
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## MUSIC NATURAL RESOURCES MANAGEMENT
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## NAVAL ARCHITECTURE AND MARINE ENGINEERING NEUROSCIENCE
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## NUCLEAR ENGINEERING
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## NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES NURSING
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## NUTRITION SCIENCES OCEANOGRAPHY OPERATIONS LOGISTICS AND E-COMMERCE
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## COUNSELING PSYCHOLOGY COURT REPORTING
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## CRIMINAL JUSTICE AND FIRE PROTECTION CRIMINOLOGY DRAMA AND THEATER ARTS
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## EDUCATIONAL ADMINISTRATION AND SUPERVISION EDUCATIONAL PSYCHOLOGY
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## FILM VIDEO AND PHOTOGRAPHIC ARTS FINANCE FINE ARTS FOOD SCIENCE FORESTRY
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## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## MATERIALS ENGINEERING AND MATERIALS SCIENCE MATERIALS SCIENCE
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
## 1903 0 0
## 1904 0 0
## 2001 0 0
## 2100 0 0
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## 2201 0 0
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## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## MATHEMATICS MATHEMATICS AND COMPUTER SCIENCE
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
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## 1904 0 0
## 2001 0 0
## 2100 0 0
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## 2405 0 0
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## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## MATHEMATICS TEACHER EDUCATION MECHANICAL ENGINEERING
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
## 1903 0 0
## 1904 0 0
## 2001 0 0
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## 2401 0 0
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## 2408 0 0
## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## MECHANICAL ENGINEERING RELATED TECHNOLOGIES MEDICAL ASSISTING SERVICES
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
## 1903 0 0
## 1904 0 0
## 2001 0 0
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## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## MEDICAL TECHNOLOGIES TECHNICIANS METALLURGICAL ENGINEERING MICROBIOLOGY
## 1100 0 0 0
## 1101 0 0 0
## 1102 0 0 0
## 1103 0 0 0
## 1104 0 0 0
## 1105 0 0 0
## 1106 0 0 0
## 1199 0 0 0
## 1301 0 0 0
## 1302 0 0 0
## 1303 0 0 0
## 1401 0 0 0
## 1501 0 0 0
## 1901 0 0 0
## 1902 0 0 0
## 1903 0 0 0
## 1904 0 0 0
## 2001 0 0 0
## 2100 0 0 0
## 2101 0 0 0
## 2102 0 0 0
## 2105 0 0 0
## 2106 0 0 0
## 2107 0 0 0
## 2201 0 0 0
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## 2305 0 0 0
## 2306 0 0 0
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## 2309 0 0 0
## 2310 0 0 0
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## 2312 0 0 0
## 2313 0 0 0
## 2314 0 0 0
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## 2400 0 0 0
## 2401 0 0 0
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## 2404 0 0 0
## 2405 0 0 0
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## 2407 0 0 0
## 2408 0 0 0
## 2409 0 0 0
## 2410 0 0 0
## 2411 0 0 0
## 2412 0 0 0
## 2413 0 0 0
## 2414 0 0 0
## 2415 0 0 0
## 2416 0 0 0
## 2417 0 0 0
## 2418 0 0 0
##
## MILITARY TECHNOLOGIES MINING AND MINERAL ENGINEERING
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
## 1903 0 0
## 1904 0 0
## 2001 0 0
## 2100 0 0
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## 2310 0 0
## 2311 0 0
## 2312 0 0
## 2313 0 0
## 2314 0 0
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## 2401 0 0
## 2402 0 0
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## 2404 0 0
## 2405 0 0
## 2406 0 0
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## 2408 0 0
## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## MISCELLANEOUS AGRICULTURE MISCELLANEOUS BIOLOGY
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
## 1903 0 0
## 1904 0 0
## 2001 0 0
## 2100 0 0
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## 2107 0 0
## 2201 0 0
## 2300 0 0
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## 2303 0 0
## 2304 0 0
## 2305 0 0
## 2306 0 0
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## 2308 0 0
## 2309 0 0
## 2310 0 0
## 2311 0 0
## 2312 0 0
## 2313 0 0
## 2314 0 0
## 2399 0 0
## 2400 0 0
## 2401 0 0
## 2402 0 0
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## 2404 0 0
## 2405 0 0
## 2406 0 0
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## 2408 0 0
## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION MISCELLANEOUS EDUCATION
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
## 1903 0 0
## 1904 0 0
## 2001 0 0
## 2100 0 0
## 2101 0 0
## 2102 0 0
## 2105 0 0
## 2106 0 0
## 2107 0 0
## 2201 0 0
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## 2305 0 0
## 2306 0 0
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## 2308 0 0
## 2309 0 0
## 2310 0 0
## 2311 0 0
## 2312 0 0
## 2313 0 0
## 2314 0 0
## 2399 0 0
## 2400 0 0
## 2401 0 0
## 2402 0 0
## 2403 0 0
## 2404 0 0
## 2405 0 0
## 2406 0 0
## 2407 0 0
## 2408 0 0
## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## MISCELLANEOUS ENGINEERING MISCELLANEOUS ENGINEERING TECHNOLOGIES
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
## 1903 0 0
## 1904 0 0
## 2001 0 0
## 2100 0 0
## 2101 0 0
## 2102 0 0
## 2105 0 0
## 2106 0 0
## 2107 0 0
## 2201 0 0
## 2300 0 0
## 2301 0 0
## 2303 0 0
## 2304 0 0
## 2305 0 0
## 2306 0 0
## 2307 0 0
## 2308 0 0
## 2309 0 0
## 2310 0 0
## 2311 0 0
## 2312 0 0
## 2313 0 0
## 2314 0 0
## 2399 0 0
## 2400 0 0
## 2401 0 0
## 2402 0 0
## 2403 0 0
## 2404 0 0
## 2405 0 0
## 2406 0 0
## 2407 0 0
## 2408 0 0
## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## MISCELLANEOUS FINE ARTS MISCELLANEOUS HEALTH MEDICAL PROFESSIONS
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
## 1903 0 0
## 1904 0 0
## 2001 0 0
## 2100 0 0
## 2101 0 0
## 2102 0 0
## 2105 0 0
## 2106 0 0
## 2107 0 0
## 2201 0 0
## 2300 0 0
## 2301 0 0
## 2303 0 0
## 2304 0 0
## 2305 0 0
## 2306 0 0
## 2307 0 0
## 2308 0 0
## 2309 0 0
## 2310 0 0
## 2311 0 0
## 2312 0 0
## 2313 0 0
## 2314 0 0
## 2399 0 0
## 2400 0 0
## 2401 0 0
## 2402 0 0
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## 2405 0 0
## 2406 0 0
## 2407 0 0
## 2408 0 0
## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## MISCELLANEOUS PSYCHOLOGY MISCELLANEOUS SOCIAL SCIENCES MOLECULAR BIOLOGY
## 1100 0 0 0
## 1101 0 0 0
## 1102 0 0 0
## 1103 0 0 0
## 1104 0 0 0
## 1105 0 0 0
## 1106 0 0 0
## 1199 0 0 0
## 1301 0 0 0
## 1302 0 0 0
## 1303 0 0 0
## 1401 0 0 0
## 1501 0 0 0
## 1901 0 0 0
## 1902 0 0 0
## 1903 0 0 0
## 1904 0 0 0
## 2001 0 0 0
## 2100 0 0 0
## 2101 0 0 0
## 2102 0 0 0
## 2105 0 0 0
## 2106 0 0 0
## 2107 0 0 0
## 2201 0 0 0
## 2300 0 0 0
## 2301 0 0 0
## 2303 0 0 0
## 2304 0 0 0
## 2305 0 0 0
## 2306 0 0 0
## 2307 0 0 0
## 2308 0 0 0
## 2309 0 0 0
## 2310 0 0 0
## 2311 0 0 0
## 2312 0 0 0
## 2313 0 0 0
## 2314 0 0 0
## 2399 0 0 0
## 2400 0 0 0
## 2401 0 0 0
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## 2404 0 0 0
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## 2407 0 0 0
## 2408 0 0 0
## 2409 0 0 0
## 2410 0 0 0
## 2411 0 0 0
## 2412 0 0 0
## 2413 0 0 0
## 2414 0 0 0
## 2415 0 0 0
## 2416 0 0 0
## 2417 0 0 0
## 2418 0 0 0
##
## MULTI-DISCIPLINARY OR GENERAL SCIENCE MULTI/INTERDISCIPLINARY STUDIES
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
## 1903 0 0
## 1904 0 0
## 2001 0 0
## 2100 0 0
## 2101 0 0
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## 2107 0 0
## 2201 0 0
## 2300 0 0
## 2301 0 0
## 2303 0 0
## 2304 0 0
## 2305 0 0
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## 2307 0 0
## 2308 0 0
## 2309 0 0
## 2310 0 0
## 2311 0 0
## 2312 0 0
## 2313 0 0
## 2314 0 0
## 2399 0 0
## 2400 0 0
## 2401 0 0
## 2402 0 0
## 2403 0 0
## 2404 0 0
## 2405 0 0
## 2406 0 0
## 2407 0 0
## 2408 0 0
## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## MUSIC NATURAL RESOURCES MANAGEMENT
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
## 1903 0 0
## 1904 0 0
## 2001 0 0
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## 2101 0 0
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## 2300 0 0
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## 2307 0 0
## 2308 0 0
## 2309 0 0
## 2310 0 0
## 2311 0 0
## 2312 0 0
## 2313 0 0
## 2314 0 0
## 2399 0 0
## 2400 0 0
## 2401 0 0
## 2402 0 0
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## 2405 0 0
## 2406 0 0
## 2407 0 0
## 2408 0 0
## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## NAVAL ARCHITECTURE AND MARINE ENGINEERING NEUROSCIENCE
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
## 1903 0 0
## 1904 0 0
## 2001 0 0
## 2100 0 0
## 2101 0 0
## 2102 0 0
## 2105 0 0
## 2106 0 0
## 2107 0 0
## 2201 0 0
## 2300 0 0
## 2301 0 0
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## 2305 0 0
## 2306 0 0
## 2307 0 0
## 2308 0 0
## 2309 0 0
## 2310 0 0
## 2311 0 0
## 2312 0 0
## 2313 0 0
## 2314 0 0
## 2399 0 0
## 2400 0 0
## 2401 0 0
## 2402 0 0
## 2403 0 0
## 2404 0 0
## 2405 0 0
## 2406 0 0
## 2407 0 0
## 2408 0 0
## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## NUCLEAR ENGINEERING
## 1100 0
## 1101 0
## 1102 0
## 1103 0
## 1104 0
## 1105 0
## 1106 0
## 1199 0
## 1301 0
## 1302 0
## 1303 0
## 1401 0
## 1501 0
## 1901 0
## 1902 0
## 1903 0
## 1904 0
## 2001 0
## 2100 0
## 2101 0
## 2102 0
## 2105 0
## 2106 0
## 2107 0
## 2201 0
## 2300 0
## 2301 0
## 2303 0
## 2304 0
## 2305 0
## 2306 0
## 2307 0
## 2308 0
## 2309 0
## 2310 0
## 2311 0
## 2312 0
## 2313 0
## 2314 0
## 2399 0
## 2400 0
## 2401 0
## 2402 0
## 2403 0
## 2404 0
## 2405 0
## 2406 0
## 2407 0
## 2408 0
## 2409 0
## 2410 0
## 2411 0
## 2412 0
## 2413 0
## 2414 0
## 2415 0
## 2416 0
## 2417 0
## 2418 0
##
## NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES NURSING
## 1100 0 0
## 1101 0 0
## 1102 0 0
## 1103 0 0
## 1104 0 0
## 1105 0 0
## 1106 0 0
## 1199 0 0
## 1301 0 0
## 1302 0 0
## 1303 0 0
## 1401 0 0
## 1501 0 0
## 1901 0 0
## 1902 0 0
## 1903 0 0
## 1904 0 0
## 2001 0 0
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## 2314 0 0
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## 2406 0 0
## 2407 0 0
## 2408 0 0
## 2409 0 0
## 2410 0 0
## 2411 0 0
## 2412 0 0
## 2413 0 0
## 2414 0 0
## 2415 0 0
## 2416 0 0
## 2417 0 0
## 2418 0 0
##
## NUTRITION SCIENCES OCEANOGRAPHY OPERATIONS LOGISTICS AND E-COMMERCE
## 1100 0 0 0
## 1101 0 0 0
## 1102 0 0 0
## 1103 0 0 0
## 1104 0 0 0
## 1105 0 0 0
## 1106 0 0 0
## 1199 0 0 0
## 1301 0 0 0
## 1302 0 0 0
## 1303 0 0 0
## 1401 0 0 0
## 1501 0 0 0
## 1901 0 0 0
## 1902 0 0 0
## 1903 0 0 0
## 1904 0 0 0
## 2001 0 0 0
## 2100 0 0 0
## 2101 0 0 0
## 2102 0 0 0
## 2105 0 0 0
## 2106 0 0 0
## 2107 0 0 0
## 2201 0 0 0
## 2300 0 0 0
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## 2306 0 0 0
## 2307 0 0 0
## 2308 0 0 0
## 2309 0 0 0
## 2310 0 0 0
## 2311 0 0 0
## 2312 0 0 0
## 2313 0 0 0
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## 2399 0 0 0
## 2400 0 0 0
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## 2402 0 0 0
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## 2404 0 0 0
## 2405 0 0 0
## 2406 0 0 0
## 2407 0 0 0
## 2408 0 0 0
## 2409 0 0 0
## 2410 0 0 0
## 2411 0 0 0
## 2412 0 0 0
## 2413 0 0 0
## 2414 0 0 0
## 2415 0 0 0
## 2416 0 0 0
## 2417 0 0 0
## 2418 0 0 0
##
## OTHER FOREIGN LANGUAGES PETROLEUM ENGINEERING PHARMACOLOGY
## 1100 0 0 0
## 1101 0 0 0
## 1102 0 0 0
## 1103 0 0 0
## 1104 0 0 0
## 1105 0 0 0
## 1106 0 0 0
## 1199 0 0 0
## 1301 0 0 0
## 1302 0 0 0
## 1303 0 0 0
## 1401 0 0 0
## 1501 0 0 0
## 1901 0 0 0
## 1902 0 0 0
## 1903 0 0 0
## 1904 0 0 0
## 2001 0 0 0
## 2100 0 0 0
## 2101 0 0 0
## 2102 0 0 0
## 2105 0 0 0
## 2106 0 0 0
## 2107 0 0 0
## 2201 0 0 0
## 2300 0 0 0
## 2301 0 0 0
## 2303 0 0 0
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## 2305 0 0 0
## 2306 0 0 0
## 2307 0 0 0
## 2308 0 0 0
## 2309 0 0 0
## 2310 0 0 0
## 2311 0 0 0
## 2312 0 0 0
## 2313 0 0 0
## 2314 0 0 0
## 2399 0 0 0
## 2400 0 0 0
## 2401 0 0 0
## 2402 0 0 0
## 2403 0 0 0
## 2404 0 0 0
## 2405 0 0 0
## 2406 0 0 0
## 2407 0 0 0
## 2408 0 0 0
## 2409 0 0 0
## 2410 0 0 0
## 2411 0 0 0
## 2412 0 0 0
## 2413 0 0 0
## 2414 0 0 0
## 2415 0 0 0
## 2416 0 0 0
## 2417 0 0 0
## 2418 0 0 0
##
## PHARMACY PHARMACEUTICAL SCIENCES AND ADMINISTRATION
## 1100 0
## 1101 0
## 1102 0
## 1103 0
## 1104 0
## 1105 0
## 1106 0
## 1199 0
## 1301 0
## 1302 0
## 1303 0
## 1401 0
## 1501 0
## 1901 0
## 1902 0
## 1903 0
## 1904 0
## 2001 0
## 2100 0
## 2101 0
## 2102 0
## 2105 0
## 2106 0
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## [ reached getOption("max.print") -- omitted 114 row(s) and 12 matrix slice(s) ]table2 <- table(dataframe1$Total,dataframe1$Employed, dataframe1$Unemployed)
table2## , , = 0
##
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##
## [ reached getOption("max.print") -- omitted 114 row(s) and 167 matrix slice(s) ]normalize_fun <- function(x){
return ((x - min(x, na.rm = TRUE))/(max(x, na.rm = TRUE) -(min(x, na.rm = TRUE))))
}normalize_data <- as.data.frame(apply(data[4:6],2,normalize_fun))
normalize_data## Total Employed Employed_full_time_year_round
## 1 0.0402907423 0.0377205889 0.0376543047
## 2 0.0297746253 0.0320340039 0.0325786995
## 3 0.0101114538 0.0105524828 0.0112042000
## 4 0.0324092616 0.0338666313 0.0329382946
## 5 0.0070115991 0.0067104253 0.0059996151
## 6 0.0246748437 0.0261595661 0.0257876655
## 7 0.0013424694 0.0014594718 0.0015214434
## 8 0.0019714115 0.0020825311 0.0020538712
## 9 0.0332285203 0.0365972971 0.0330935861
## 10 0.0214830346 0.0198630970 0.0198731769
## 11 0.0258856293 0.0273895345 0.0255389929
## 12 0.0936511771 0.0914945178 0.0835411195
## 13 0.0324704577 0.0315805221 0.0255054582
## 14 0.3156821571 0.3354167145 0.3067888155
## 15 0.1331921871 0.1330040384 0.1208869050
## 16 0.0669046373 0.0718184237 0.0641781858
## 17 0.0590920421 0.0620258523 0.0569878310
## 18 0.0191422037 0.0204500307 0.0186597369
## 19 0.0805436777 0.0921226772 0.0974348021
## 20 0.0086254459 0.0090679356 0.0091080235
## 21 0.2501978460 0.2783281610 0.2888931538
## 22 0.0241609246 0.0275833374 0.0291550650
## 23 0.0118438481 0.0131216462 0.0139622998
## 24 0.0158196721 0.0180963455 0.0179854315
## 25 0.0127931886 0.0135560027 0.0127364776
## 26 0.4602430414 0.3579407762 0.3047891158
## 27 0.0005257738 0.0006889353 0.0007093878
## 28 0.0000000000 0.0000000000 0.0000000000
## 29 0.4627530427 0.3476131218 0.2583167337
## 30 0.0212783000 0.0194274654 0.0146525986
## 31 0.0894760653 0.0816224703 0.0697779642
## 32 0.0495601891 0.0475871114 0.0361349250
## 33 0.0173274671 0.0147613207 0.0122396482
## 34 0.0710855163 0.0543982633 0.0453100179
## 35 0.0471924447 0.0453821785 0.0363835977
## 36 0.0399299737 0.0328500161 0.0260740002
## 37 0.0274488532 0.0243923897 0.0189852814
## 38 0.0573670170 0.0466890730 0.0343384972
## 39 0.0735202239 0.0653094514 0.0483224655
## 40 0.0714991506 0.0529396414 0.0465508017
## 41 0.1604183634 0.1520162726 0.1604145095
## 42 0.0202933952 0.0184673761 0.0192943165
## 43 0.0097247329 0.0096807947 0.0090430178
## 44 0.0055079693 0.0051940027 0.0052040689
## 45 0.0051106752 0.0048382723 0.0041835823
## 46 0.0594819670 0.0553379523 0.0558806701
## 47 0.1141249567 0.1110707355 0.1132105551
## 48 0.0486249461 0.0540820585 0.0567159420
## 49 0.2144269642 0.2076041287 0.2173172140
## 50 0.0058267657 0.0057023102 0.0057597131
## 51 0.0034026312 0.0035517781 0.0036171039
## 52 0.0012393011 0.0011169167 0.0011644278
## 53 0.0435645734 0.0424075590 0.0432963884
## 54 0.0060984636 0.0056079588 0.0055605686
## 55 0.1855532992 0.1788065482 0.1862259073
## 56 0.0033391924 0.0023150096 0.0022540475
## 57 0.0026753268 0.0025177376 0.0027477814
## 58 0.0043888176 0.0039092084 0.0041959644
## 59 0.0023805603 0.0024769370 0.0027761569
## 60 0.0055220668 0.0053168295 0.0054393277
## 61 0.0174969578 0.0180262195 0.0186251703
## 62 0.0112094592 0.0121594318 0.0126699242
## 63 0.0143224503 0.0109579388 0.0108399616
## 64 0.0295730947 0.0307045840 0.0325358783
## 65 0.0255504925 0.0271617311 0.0289806845
## 66 0.0086353783 0.0096467942 0.0104112334
## 67 0.0198006225 0.0219324529 0.0232627609
## 68 0.0235156422 0.0187704056 0.0151344664
## 69 0.0749559292 0.0646698168 0.0507488298
## 70 0.0177491114 0.0141119110 0.0113259567
## 71 0.1280446661 0.1020410505 0.0789736938
## 72 0.0022216427 0.0024556867 0.0026053879
## 73 0.0207108744 0.0203012785 0.0186561254
## 74 0.3512370903 0.3006452446 0.2482269174
## 75 0.0182034363 0.0184542009 0.0147217317
## 76 0.1918625850 0.1714645634 0.1525565563
## 77 0.0140308877 0.0121037560 0.0094758733
## 78 0.0044205370 0.0023796106 0.0016700279
## 79 0.2681920622 0.2471781703 0.2175602115
## 80 0.0233653753 0.0217186747 0.0185782217
## 81 0.0037611571 0.0033116495 0.0027034124
## 82 0.0082665997 0.0079599440 0.0063318666
## 83 0.0137681610 0.0149670238 0.0126833381
## 84 0.0012707001 0.0013833957 0.0012407838
## 85 0.0213029707 0.0186705291 0.0169721677
## 86 0.0008391235 0.0008453376 0.0007666547
## 87 0.0133247296 0.0127085400 0.0098612644
## 88 0.0169807960 0.0145445674 0.0129283993
## 89 0.0036140942 0.0031854226 0.0022457928
## 90 0.0086485146 0.0088426822 0.0079528822
## 91 0.1379026847 0.1187510253 0.1076953873
## 92 0.0053557800 0.0057987867 0.0056833571
## 93 0.0071801286 0.0073594100 0.0069004087
## 94 0.0006148446 0.0000671510 0.0003172898
## 95 0.0137140137 0.0145411674 0.0128695846
## 96 0.0173604681 0.0176896145 0.0136233414
## 97 0.0199089171 0.0180143193 0.0139395994
## 98 0.0015340676 0.0018623778 0.0020358140
## 99 0.0014424337 0.0017149006 0.0013135283
## 100 0.0190556961 0.0177737657 0.0154698134
## 101 0.1115028160 0.1212079871 0.1048083079
## 102 0.0651584659 0.0583287220 0.0486696786
## 103 0.0738419039 0.0694184128 0.0621748747
## 104 0.0020697738 0.0018615278 0.0019955724
## 105 0.0007381980 0.0008109121 0.0006985535
## 106 0.0037342436 0.0041480620 0.0041299268
## 107 0.0979349040 0.0835490241 0.0785305199
## 108 0.0338039559 0.0315380215 0.0300104577
## 109 0.0018810591 0.0019707545 0.0020260116
## 110 0.0026737248 0.0027157906 0.0027936982
## 111 0.0385195799 0.0337051289 0.0308101312
## 112 0.0015417572 0.0018589778 0.0017603136
## 113 0.1363477912 0.1304637754 0.1227060333
## 114 0.0031302926 0.0034289513 0.0031703186
## 115 0.4747276133 0.4481105493 0.3795735522
## 116 0.0037310396 0.0030851211 0.0024093389
## 117 0.0016795285 0.0015453231 0.0011370842
## 118 0.0048819108 0.0049211486 0.0040215840
## 119 0.0049895646 0.0044141160 0.0038889929
## 120 0.0027153766 0.0022971593 0.0021322908
## 121 0.0101585524 0.0095324675 0.0075298291
## 122 0.2418191069 0.2600516128 0.2664749514
## 123 0.0167376136 0.0154647062 0.0155647423
## 124 0.0039684549 0.0041034363 0.0036645684
## 125 0.0254364307 0.0254621307 0.0226312767
## 126 0.1014916469 0.0950267456 0.0840570379
## 127 0.0400392296 0.0334365249 0.0288620233
## 128 0.2419712961 0.2269338427 0.2215802478
## 129 0.0450771744 0.0428861161 0.0335104481
## 130 0.0232894409 0.0246682188 0.0245938303
## 131 0.0362136724 0.0349265972 0.0319750750
## 132 0.0240218717 0.0234059499 0.0211516227
## 133 0.2391966458 0.2295620820 0.2170303633
## 134 0.2153596440 0.1945177580 0.1730503830
## 135 0.0043208931 0.0045964437 0.0043084346
## 136 0.0288198380 0.0329647678 0.0334433787
## 137 0.0042709110 0.0047239456 0.0048289963
## 138 0.0398072611 0.0413624684 0.0425250904
## 139 0.1824877271 0.1638267742 0.1318966038
## 140 0.0552434163 0.0567719237 0.0414932536
## 141 0.0877462342 0.0812663149 0.0593558965
## 142 0.0168994148 0.0168328017 0.0115493494
## 143 0.1609236318 0.1608598049 0.1370165780
## 144 0.0420080779 0.0451182495 0.0351907944
## 145 0.0283411628 0.0254166550 0.0195512439
## 146 0.0251871607 0.0243558391 0.0184956748
## 147 0.0019592363 0.0020991064 0.0013976230
## 148 0.0327190868 0.0326005374 0.0271646517
## 149 0.0232548379 0.0203582294 0.0128938328
## 150 0.0339987581 0.0356444329 0.0341543143
## 151 0.0198390703 0.0211597913 0.0123949397
## 152 0.0520948610 0.0509952374 0.0469666319
## 153 0.0096497597 0.0074448363 0.0062188804
## 154 0.5663029290 0.5628014889 0.4882925216
## 155 0.0569309548 0.0520913288 0.0454735641
## 156 0.0800169427 0.0840161060 0.0655329876
## 157 0.0174120522 0.0174469358 0.0143523341
## 158 0.0241103016 0.0217254748 0.0178420062
## 159 0.6876762592 0.6712915858 0.6725269838
## 160 0.5692912851 0.5671000031 0.5643806838
## 161 0.0023603752 0.0027004904 0.0029856198
## 162 1.0000000000 1.0000000000 1.0000000000
## 163 0.0175591151 0.0194861163 0.0206424113
## 164 0.0234374650 0.0240090339 0.0244431822
## 165 0.3563560959 0.3776746712 0.3631131755
## 166 0.2608530159 0.2844095769 0.2889039881
## 167 0.0592346194 0.0600903734 0.0595230541
## 168 0.0268070952 0.0276088378 0.0257541308
## 169 0.0635856300 0.0688089537 0.0626355898
## 170 0.0494301073 0.0565198950 0.0604429366
## 171 0.0321542244 0.0322915578 0.0312182227
## 172 0.2275190845 0.2026957303 0.1821553110
## 173 0.0049181158 0.0044179410 0.0036686958major_data$Major <- toupper(major_data$Major)
data_mjrs <- str_subset(major_data$Major, pattern = "(DATA)|(STATISTICS)")
data_mjrs## [1] "MANAGEMENT INFORMATION SYSTEMS AND STATISTICS"
## [2] "COMPUTER PROGRAMMING AND DATA PROCESSING"
## [3] "STATISTICS AND DECISION SCIENCE"data$Major <- toupper(data$Major)
data_mjrs <- str_subset(data$Major, pattern = "(DATA)|(STATISTICS)")
data_mjrs## [1] "COMPUTER PROGRAMMING AND DATA PROCESSING"
## [2] "STATISTICS AND DECISION SCIENCE"
## [3] "MANAGEMENT INFORMATION SYSTEMS AND STATISTICS"(.)\1\1 = It would find any same character appearing three times in a row.
library("stringr")
testData <- c("fdraaaaaoijh")
str_extract_all(testData , regex("(.)\\1\\1"))## [[1]]
## [1] "aaa"“(.)(.)\2\1” = It would search words that a pair of characters followed by the same pair of characters in reversed order.
Search_in <- c("cdsabbavdf")
str_extract_all(testData , regex("(.)(.)\\2\\1"))## [[1]]
## [1] "aaaa"“(..)\1” = It would search two characters repeated.
Search_in <- c("scfababthlb")
str_extract_all(Search_in , regex("(..)\\1"))## [[1]]
## [1] "abab"“(.).\1.\1” = It would search words with repeated character pairs spaced by 1 character in between.
Data <- c("scfacbababthlb")
str_extract_all(Data , regex("(.).\\1.\\1"))## [[1]]
## [1] "babab"“(.)(.)(.).*\3\2\1” = it would search words with any three character pairs repeated three times
Data <- c("applebccfdscbaelppa")
str_extract_all(Data , regex("(.)(.)(.).*\\3\\2\\1"))## [[1]]
## [1] "applebccfdscbaelppa"Start and end with the same character.
Start with ^ and end with*$
(“^.*$“)
str_view("churchc", "^(.)(.*)\\1$")## [1] │ <churchc>Contain a repeated pair of letters (e.g. “church” contains “ch” repeated
Start with [A-Za-z] and end with [A-Za-z]
str_view("church", "([A-Za-z][A-Za-z]).*\\1")## [1] │ <church>Contain one letter repeated in at least three places (e.g. “eleven” contains three “e”s.)
str_view("eleven", "([A-Za-z]).*\\1.*\\1.")## [1] │ <eleven>Including Plots
You can also embed plots, for example:
Note that the echo = FALSE parameter was added to the
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plot.