Tomonori Nagano 2023-07-26
- Author: Tomonori Nagano tnagano@lagcc.cuny.edu
- Date: Wednesday, November 11, 2020 (Updated on Wednesday, July 26, 2023)
- Script purpose: This R script will analyze the IR data about languages spoken at LaGuardia Community College
# clear the cache
rm(list = ls())
library(ggplot2); library(xtable); library(gdata); library(Hmisc); library(RColorBrewer); library(foreign);
library(reshape2);library(plyr)
# turning off scientific notation of numbers
options(scipen=999)
setwd("~/Desktop/")
# change the default width
width.default <- getOption("width"); options(width=120)
# the add comma fonction
addComma<-function(x) {format(x, big.mark = ',', trim = TRUE, scientific = FALSE)}
# creating a notin function
`%notin%` <- Negate(`%in%`)- The data files were obtained from the Institutional Research at LaGuardia Community College
temp <- read.csv("data/LanguagesSpokenAtLaGuardiaDataFall2016.csv")
tempData <- cbind(temp,"Fall2016")
names(tempData)[3] <- "Semester"
temp <- read.csv("data/LanguagesSpokenAtLaGuardiaDataFall2017.csv")
tempData2 <- cbind(temp,"Fall2017")
names(tempData2)[3] <- "Semester"
tempData <- rbind.fill(tempData,tempData2)
temp <- read.csv("data/LanguagesSpokenAtLaGuardiaDataFall2018.csv")
tempData2 <- cbind(temp,"Fall2018")
names(tempData2)[3] <- "Semester"
tempData <- rbind.fill(tempData,tempData2)
temp <- read.csv("data/LanguagesSpokenAtLaGuardiaDataFall2019.csv")
tempData2 <- cbind(temp,"Fall2019")
names(tempData2)[3] <- "Semester"
tempData <- rbind.fill(tempData,tempData2)
temp <- read.csv("data/LanguagesSpokenAtLaGuardiaDataFall2020.csv")
tempData2 <- cbind(temp,"Fall2020")
names(tempData2)[3] <- "Semester"
tempData <- rbind.fill(tempData,tempData2)
temp <- read.csv("data/LanguagesSpokenAtLaGuardiaDataFall2021.csv")
tempData2 <- cbind(temp,"Fall2021")
names(tempData2)[3] <- "Semester"
tempData <- rbind.fill(tempData,tempData2)
temp <- read.csv("data/LanguagesSpokenAtLaGuardiaDataFall2022.csv")
tempData2 <- cbind(temp,"Fall2022")
names(tempData2)[3] <- "Semester"
tempData <- rbind.fill(tempData,tempData2)
thisData <- drop.levels(as.data.frame(tempData),reorder=FALSE)
names(thisData) <- c("Languages","Speakers","Semester")
thisData$Semester = as.factor(thisData$Semester)
thisData[thisData$Languages=="","Languages"] <- "No response"
thisData.noNA <- drop.levels(thisData[thisData$Languages!="No response",], reorder=FALSE)
summary(thisData.noNA)## Languages Speakers Semester
## Length:567 Min. : 1.00 Fall2016:97
## Class :character 1st Qu.: 1.00 Fall2017:90
## Mode :character Median : 4.00 Fall2018:98
## Mean : 71.86 Fall2019:89
## 3rd Qu.: 14.00 Fall2020:77
## Max. :5868.00 Fall2021:62
## Fall2022:54
thisTable <- xtabs(Speakers ~ Languages + Semester, data=thisData)
thisTable## Semester
## Languages Fall2016 Fall2017 Fall2018 Fall2019 Fall2020 Fall2021 Fall2022
## Afrikaans 5 6 4 5 2 2 1
## Akan 5 7 5 2 3 2 0
## Albanian 47 33 41 25 11 7 6
## Amharic 2 2 2 1 1 0 1
## Arabic 181 149 163 91 61 33 14
## Armenian 4 4 7 4 1 0 0
## Bengali 373 295 285 191 123 88 49
## Berber 4 2 4 2 2 1 0
## Bulgarian 3 1 5 4 3 1 0
## Burmese 34 36 39 26 14 8 3
## Byelorussian 2 0 0 0 0 0 0
## Cambodian 0 1 1 1 0 0 0
## Cantonese 31 0 0 0 0 0 0
## Catalan 0 0 1 0 0 0 0
## Cebuano 5 6 7 4 2 2 1
## Chiga 0 1 1 2 0 0 0
## Chinese 411 364 325 211 128 66 47
## Creole 97 78 91 60 38 32 17
## Czech 3 1 1 1 0 0 0
## Dutch-Flemish 5 3 4 2 3 2 1
## Dzongkha 8 6 7 6 2 1 1
## Edo 0 1 3 4 2 1 0
## Efik 0 0 1 1 0 0 0
## English 5868 4392 4823 3002 1987 1341 824
## Esperanto 1 0 1 0 0 0 0
## Estonian 0 0 1 0 0 0 0
## Ewe 2 0 0 0 1 1 0
## Fang-Bulu 0 0 0 1 0 1 1
## Farsi 10 10 9 4 3 2 1
## Finnish 0 0 1 1 0 0 0
## Fon 2 1 1 2 1 0 0
## French 89 61 65 32 23 14 5
## Fula 13 10 11 6 6 3 0
## Fulakunda 0 0 0 1 1 0 1
## Futa Jalon 3 2 1 2 0 0 0
## Gaelic 0 1 2 0 0 0 0
## Galician 1 1 0 0 0 0 0
## Georgian 5 6 6 5 1 0 0
## German 9 5 4 1 2 0 0
## Greek 38 21 30 23 8 5 1
## Guarani 0 0 2 1 1 1 1
## Gujarati 18 7 12 8 2 3 1
## Hausa 4 2 2 1 0 0 0
## Hebrew 3 3 6 4 0 1 0
## Hindi 44 20 24 15 8 4 3
## Hungarian 7 3 6 5 1 1 1
## Ibibio 0 0 0 1 0 0 0
## Igbo 9 6 6 5 5 4 4
## Ilocano 0 0 2 1 1 0 1
## Indonesian 12 16 12 5 3 1 0
## Italian 9 5 5 5 1 1 1
## Japanese 45 28 24 13 10 5 2
## Javanese 3 1 2 2 0 0 0
## Kabyle 0 1 0 0 0 0 0
## Kannada 1 0 0 0 0 0 0
## Karen 1 0 0 0 0 0 0
## Kashmiri 1 1 0 0 0 0 0
## Kazakh 2 0 2 1 1 2 2
## Khmer 1 0 0 1 1 0 0
## Kikuyu 0 1 0 0 0 0 0
## Kirghiz 1 0 0 0 0 0 0
## Korean 130 91 98 49 30 21 13
## Kurdish 0 0 1 0 0 0 0
## Lao 1 2 1 0 0 0 0
## Latin 4 4 5 4 3 3 1
## Latvian 0 0 0 0 0 1 0
## Lithuanian 1 1 2 2 1 0 0
## Macedonian 3 3 2 1 0 0 0
## Malay 1 0 1 1 1 0 0
## Malayalam 2 2 3 2 3 2 2
## Malinke-Bambara-Dyula 8 0 4 2 2 3 0
## Mandarin 11 4 8 3 2 0 2
## Marathi 0 0 0 0 0 1 0
## Moldavian 1 0 1 0 0 0 0
## Mongolian 3 2 1 0 0 0 1
## More 2 1 2 2 1 0 0
## Nepali 218 258 255 146 58 32 19
## No response 8529 11169 10351 12947 13447 12609 11702
## Nyanja 1 0 0 0 0 0 0
## Pampangan 1 1 1 1 1 0 0
## Panay-Hiligaynon 0 0 1 0 0 0 0
## Pangasinan 1 0 0 0 0 0 0
## Pashtu 5 5 5 2 4 3 2
## Persian 7 9 6 4 2 2 2
## Pilipino 24 24 28 14 7 5 3
## Polish 119 82 73 42 23 12 8
## Portuguese 39 29 37 31 17 11 4
## Punjabi 39 29 40 23 15 12 5
## Pushto 0 2 1 2 1 0 0
## Quechua 0 1 0 0 0 0 0
## Romanian 37 27 23 10 4 2 1
## Russian 69 59 62 39 28 18 2
## Serbo-Croatian 25 16 18 10 8 6 2
## Shona 1 1 0 1 0 0 0
## Sinhalese 5 5 2 1 1 0 0
## Slovak 7 2 2 1 0 0 0
## Slovene 0 1 1 1 0 0 0
## Somali 1 1 1 0 0 0 0
## Soninke 1 4 4 0 1 0 0
## Sotho 0 1 0 0 0 0 0
## Spanish 2298 1626 1775 1169 697 450 254
## Sundanese 0 0 1 0 0 0 0
## Swahili 2 1 1 1 0 0 1
## Swedish 1 2 2 0 0 0 0
## Sylhetti 0 0 1 1 1 0 0
## Tagalog 114 76 114 75 33 24 15
## Tajiki 3 4 5 2 4 1 1
## Tamil 2 0 2 0 1 0 0
## Telugu 1 0 1 0 1 1 1
## Thai 18 10 12 8 5 5 3
## Tibetan 96 61 88 58 39 28 17
## Tigrinya 1 2 0 0 0 0 0
## Tiv 1 1 0 0 0 0 0
## Turkish 21 14 10 11 3 2 0
## Turkmen 2 1 1 1 2 0 0
## Twi-Fante 13 10 7 6 4 3 1
## Uighur 1 0 0 0 0 0 0
## Ukrainian 28 16 18 12 5 4 1
## Urdu 73 53 48 32 20 7 5
## Uzbek 20 17 20 7 5 3 3
## Vietnamese 8 9 10 6 2 1 0
## Wolof 10 7 10 6 3 1 0
## Wu 0 0 0 1 1 0 0
## Yoruba 15 10 13 5 3 3 2
## Zulu 0 0 0 0 0 1 1
options(scipen = 15)
getOption("scipen")## [1] 15
thisTable.sorted <- thisTable[order(-thisTable[,1]),]
thisTable.prop <- prop.table(thisTable.sorted,2)*100
thisTable.prop## Semester
## Languages Fall2016 Fall2017 Fall2018 Fall2019 Fall2020 Fall2021 Fall2022
## No response 43.859919778 57.703037818 53.810563527 69.859170129 79.323973572 84.550392275 89.574402939
## English 30.175871645 22.690638562 25.072780204 16.198133060 11.721330816 8.992154496 6.307409675
## Spanish 11.817340327 8.400495970 9.227490123 6.307667404 4.111609250 3.017501509 1.944274342
## Chinese 2.113545202 1.880553833 1.689540445 1.138509685 0.755073148 0.442566888 0.359767299
## Bengali 1.918132264 1.524075222 1.481597006 1.030594075 0.725578103 0.590089184 0.375076546
## Nepali 1.121053173 1.332920025 1.325639426 0.787783953 0.342142520 0.214577885 0.145437844
## Arabic 0.930782680 0.769787146 0.847369515 0.491016025 0.359839547 0.221283444 0.107164727
## Korean 0.668517947 0.470138458 0.509461426 0.264393244 0.176970269 0.140816737 0.099510104
## Polish 0.611951044 0.423641248 0.379496777 0.226622781 0.135677206 0.080466707 0.061236987
## Tagalog 0.586238815 0.392643108 0.592638802 0.404683537 0.194667296 0.160933414 0.114819351
## Creole 0.498817237 0.402975821 0.473071325 0.323746830 0.224162341 0.214577885 0.130128598
## Tibetan 0.493674792 0.315147758 0.457475567 0.312955269 0.230061350 0.187755649 0.130128598
## French 0.457677672 0.315147758 0.337908089 0.172664976 0.135677206 0.093877825 0.038273117
## Urdu 0.375398540 0.273816904 0.249532127 0.172664976 0.117980179 0.046938912 0.038273117
## Russian 0.354828757 0.304815044 0.322312331 0.210435439 0.165172251 0.120700060 0.015309247
## Albanian 0.241694950 0.170489771 0.213142025 0.134894512 0.064889099 0.046938912 0.045927740
## Japanese 0.231410059 0.144657987 0.124766064 0.070145146 0.058990090 0.033527795 0.015309247
## Hindi 0.226267613 0.103327134 0.124766064 0.080936707 0.047192072 0.026822236 0.022963870
## Portuguese 0.200555384 0.149824344 0.192347681 0.167269195 0.100283152 0.073761148 0.030618494
## Punjabi 0.200555384 0.149824344 0.207943439 0.124102951 0.088485134 0.080466707 0.038273117
## Greek 0.195412938 0.108493490 0.155957580 0.124102951 0.047192072 0.033527795 0.007654623
## Romanian 0.190270493 0.139491631 0.119567478 0.053957805 0.023596036 0.013411118 0.007654623
## Burmese 0.174843155 0.185988841 0.202744853 0.140290293 0.082586126 0.053644471 0.022963870
## Cantonese 0.159415818 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Ukrainian 0.143988481 0.082661707 0.093574548 0.064749366 0.029495045 0.026822236 0.007654623
## Serbo-Croatian 0.128561144 0.082661707 0.093574548 0.053957805 0.047192072 0.040233353 0.015309247
## Pilipino 0.123418698 0.123992560 0.145560408 0.075540927 0.041293063 0.033527795 0.022963870
## Turkish 0.107991361 0.072328994 0.051985860 0.059353585 0.017697027 0.013411118 0.000000000
## Uzbek 0.102848915 0.087828064 0.103971720 0.037770463 0.029495045 0.020116677 0.022963870
## Gujarati 0.092564023 0.036164497 0.062383032 0.043166244 0.011798018 0.020116677 0.007654623
## Thai 0.092564023 0.051663567 0.062383032 0.043166244 0.029495045 0.033527795 0.022963870
## Yoruba 0.077136686 0.051663567 0.067581618 0.026978902 0.017697027 0.020116677 0.015309247
## Fula 0.066851795 0.051663567 0.057184446 0.032374683 0.035394054 0.020116677 0.000000000
## Twi-Fante 0.066851795 0.051663567 0.036390102 0.032374683 0.023596036 0.020116677 0.007654623
## Indonesian 0.061709349 0.082661707 0.062383032 0.026978902 0.017697027 0.006705559 0.000000000
## Mandarin 0.056566903 0.020665427 0.041588688 0.016187341 0.011798018 0.000000000 0.015309247
## Farsi 0.051424457 0.051663567 0.046787274 0.021583122 0.017697027 0.013411118 0.007654623
## Wolof 0.051424457 0.036164497 0.051985860 0.032374683 0.017697027 0.006705559 0.000000000
## German 0.046282012 0.025831783 0.020794344 0.005395780 0.011798018 0.000000000 0.000000000
## Igbo 0.046282012 0.030998140 0.031191516 0.026978902 0.029495045 0.026822236 0.030618494
## Italian 0.046282012 0.025831783 0.025992930 0.026978902 0.005899009 0.006705559 0.007654623
## Dzongkha 0.041139566 0.030998140 0.036390102 0.032374683 0.011798018 0.006705559 0.007654623
## Malinke-Bambara-Dyula 0.041139566 0.000000000 0.020794344 0.010791561 0.011798018 0.020116677 0.000000000
## Vietnamese 0.041139566 0.046497210 0.051985860 0.032374683 0.011798018 0.006705559 0.000000000
## Hungarian 0.035997120 0.015499070 0.031191516 0.026978902 0.005899009 0.006705559 0.007654623
## Persian 0.035997120 0.046497210 0.031191516 0.021583122 0.011798018 0.013411118 0.015309247
## Slovak 0.035997120 0.010332713 0.010397172 0.005395780 0.000000000 0.000000000 0.000000000
## Afrikaans 0.025712229 0.030998140 0.020794344 0.026978902 0.011798018 0.013411118 0.007654623
## Akan 0.025712229 0.036164497 0.025992930 0.010791561 0.017697027 0.013411118 0.000000000
## Cebuano 0.025712229 0.030998140 0.036390102 0.021583122 0.011798018 0.013411118 0.007654623
## Dutch-Flemish 0.025712229 0.015499070 0.020794344 0.010791561 0.017697027 0.013411118 0.007654623
## Georgian 0.025712229 0.030998140 0.031191516 0.026978902 0.005899009 0.000000000 0.000000000
## Pashtu 0.025712229 0.025831783 0.025992930 0.010791561 0.023596036 0.020116677 0.015309247
## Sinhalese 0.025712229 0.025831783 0.010397172 0.005395780 0.005899009 0.000000000 0.000000000
## Armenian 0.020569783 0.020665427 0.036390102 0.021583122 0.005899009 0.000000000 0.000000000
## Berber 0.020569783 0.010332713 0.020794344 0.010791561 0.011798018 0.006705559 0.000000000
## Hausa 0.020569783 0.010332713 0.010397172 0.005395780 0.000000000 0.000000000 0.000000000
## Latin 0.020569783 0.020665427 0.025992930 0.021583122 0.017697027 0.020116677 0.007654623
## Bulgarian 0.015427337 0.005166357 0.025992930 0.021583122 0.017697027 0.006705559 0.000000000
## Czech 0.015427337 0.005166357 0.005198586 0.005395780 0.000000000 0.000000000 0.000000000
## Futa Jalon 0.015427337 0.010332713 0.005198586 0.010791561 0.000000000 0.000000000 0.000000000
## Hebrew 0.015427337 0.015499070 0.031191516 0.021583122 0.000000000 0.006705559 0.000000000
## Javanese 0.015427337 0.005166357 0.010397172 0.010791561 0.000000000 0.000000000 0.000000000
## Macedonian 0.015427337 0.015499070 0.010397172 0.005395780 0.000000000 0.000000000 0.000000000
## Mongolian 0.015427337 0.010332713 0.005198586 0.000000000 0.000000000 0.000000000 0.007654623
## Tajiki 0.015427337 0.020665427 0.025992930 0.010791561 0.023596036 0.006705559 0.007654623
## Amharic 0.010284891 0.010332713 0.010397172 0.005395780 0.005899009 0.000000000 0.007654623
## Byelorussian 0.010284891 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Ewe 0.010284891 0.000000000 0.000000000 0.000000000 0.005899009 0.006705559 0.000000000
## Fon 0.010284891 0.005166357 0.005198586 0.010791561 0.005899009 0.000000000 0.000000000
## Kazakh 0.010284891 0.000000000 0.010397172 0.005395780 0.005899009 0.013411118 0.015309247
## Malayalam 0.010284891 0.010332713 0.015595758 0.010791561 0.017697027 0.013411118 0.015309247
## More 0.010284891 0.005166357 0.010397172 0.010791561 0.005899009 0.000000000 0.000000000
## Swahili 0.010284891 0.005166357 0.005198586 0.005395780 0.000000000 0.000000000 0.007654623
## Tamil 0.010284891 0.000000000 0.010397172 0.000000000 0.005899009 0.000000000 0.000000000
## Turkmen 0.010284891 0.005166357 0.005198586 0.005395780 0.011798018 0.000000000 0.000000000
## Esperanto 0.005142446 0.000000000 0.005198586 0.000000000 0.000000000 0.000000000 0.000000000
## Galician 0.005142446 0.005166357 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Kannada 0.005142446 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Karen 0.005142446 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Kashmiri 0.005142446 0.005166357 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Khmer 0.005142446 0.000000000 0.000000000 0.005395780 0.005899009 0.000000000 0.000000000
## Kirghiz 0.005142446 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Lao 0.005142446 0.010332713 0.005198586 0.000000000 0.000000000 0.000000000 0.000000000
## Lithuanian 0.005142446 0.005166357 0.010397172 0.010791561 0.005899009 0.000000000 0.000000000
## Malay 0.005142446 0.000000000 0.005198586 0.005395780 0.005899009 0.000000000 0.000000000
## Moldavian 0.005142446 0.000000000 0.005198586 0.000000000 0.000000000 0.000000000 0.000000000
## Nyanja 0.005142446 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Pampangan 0.005142446 0.005166357 0.005198586 0.005395780 0.005899009 0.000000000 0.000000000
## Pangasinan 0.005142446 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Shona 0.005142446 0.005166357 0.000000000 0.005395780 0.000000000 0.000000000 0.000000000
## Somali 0.005142446 0.005166357 0.005198586 0.000000000 0.000000000 0.000000000 0.000000000
## Soninke 0.005142446 0.020665427 0.020794344 0.000000000 0.005899009 0.000000000 0.000000000
## Swedish 0.005142446 0.010332713 0.010397172 0.000000000 0.000000000 0.000000000 0.000000000
## Telugu 0.005142446 0.000000000 0.005198586 0.000000000 0.005899009 0.006705559 0.007654623
## Tigrinya 0.005142446 0.010332713 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Tiv 0.005142446 0.005166357 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Uighur 0.005142446 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Cambodian 0.000000000 0.005166357 0.005198586 0.005395780 0.000000000 0.000000000 0.000000000
## Catalan 0.000000000 0.000000000 0.005198586 0.000000000 0.000000000 0.000000000 0.000000000
## Chiga 0.000000000 0.005166357 0.005198586 0.010791561 0.000000000 0.000000000 0.000000000
## Edo 0.000000000 0.005166357 0.015595758 0.021583122 0.011798018 0.006705559 0.000000000
## Efik 0.000000000 0.000000000 0.005198586 0.005395780 0.000000000 0.000000000 0.000000000
## Estonian 0.000000000 0.000000000 0.005198586 0.000000000 0.000000000 0.000000000 0.000000000
## Fang-Bulu 0.000000000 0.000000000 0.000000000 0.005395780 0.000000000 0.006705559 0.007654623
## Finnish 0.000000000 0.000000000 0.005198586 0.005395780 0.000000000 0.000000000 0.000000000
## Fulakunda 0.000000000 0.000000000 0.000000000 0.005395780 0.005899009 0.000000000 0.007654623
## Gaelic 0.000000000 0.005166357 0.010397172 0.000000000 0.000000000 0.000000000 0.000000000
## Guarani 0.000000000 0.000000000 0.010397172 0.005395780 0.005899009 0.006705559 0.007654623
## Ibibio 0.000000000 0.000000000 0.000000000 0.005395780 0.000000000 0.000000000 0.000000000
## Ilocano 0.000000000 0.000000000 0.010397172 0.005395780 0.005899009 0.000000000 0.007654623
## Kabyle 0.000000000 0.005166357 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Kikuyu 0.000000000 0.005166357 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Kurdish 0.000000000 0.000000000 0.005198586 0.000000000 0.000000000 0.000000000 0.000000000
## Latvian 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.006705559 0.000000000
## Marathi 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.006705559 0.000000000
## Panay-Hiligaynon 0.000000000 0.000000000 0.005198586 0.000000000 0.000000000 0.000000000 0.000000000
## Pushto 0.000000000 0.010332713 0.005198586 0.010791561 0.005899009 0.000000000 0.000000000
## Quechua 0.000000000 0.005166357 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Slovene 0.000000000 0.005166357 0.005198586 0.005395780 0.000000000 0.000000000 0.000000000
## Sotho 0.000000000 0.005166357 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Sundanese 0.000000000 0.000000000 0.005198586 0.000000000 0.000000000 0.000000000 0.000000000
## Sylhetti 0.000000000 0.000000000 0.005198586 0.005395780 0.005899009 0.000000000 0.000000000
## Wu 0.000000000 0.000000000 0.000000000 0.005395780 0.005899009 0.000000000 0.000000000
## Zulu 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.006705559 0.007654623
thisTable.noNA <- xtabs(Speakers ~ Languages + Semester, data=thisData.noNA)
thisTable.noNA_sorted <- thisTable.noNA[order(-thisTable.noNA[,1]),]
thisTable.noNA_prop <- prop.table(thisTable.noNA_sorted,2)*100
thisTable.noNA_prop## Semester
## Languages Fall2016 Fall2017 Fall2018 Fall2019 Fall2020 Fall2021 Fall2022
## English 53.751030503 53.646024185 54.282498593 53.741496599 56.690442225 58.203125000 60.499265786
## Spanish 21.049738939 19.860754855 19.977490152 20.927318296 19.885877318 19.531250000 18.649045521
## Chinese 3.764770541 4.446073043 3.657850310 3.777300394 3.651925820 2.864583333 3.450807636
## Bengali 3.416689567 3.603273482 3.207653348 3.419262442 3.509272468 3.819444444 3.597650514
## Nepali 1.996885591 3.151337486 2.870005627 2.613677050 1.654778887 1.388888889 1.395007342
## Arabic 1.657964642 1.819958471 1.834552617 1.629072682 1.740370899 1.432291667 1.027900147
## Korean 1.190803334 1.111518261 1.102982555 0.877192982 0.855920114 0.911458333 0.954478708
## Polish 1.090043052 1.001587883 0.821609454 0.751879699 0.656205421 0.520833333 0.587371512
## Tagalog 1.044242924 0.928300965 1.283061339 1.342642320 0.941512126 1.041666667 1.101321586
## Creole 0.888522488 0.952729938 1.024198087 1.074113856 1.084165478 1.388888889 1.248164464
## Tibetan 0.879362462 0.745083669 0.990433315 1.038310061 1.112696148 1.215277778 1.248164464
## French 0.815242283 0.745083669 0.731570062 0.572860723 0.656205421 0.607638889 0.367107195
## Urdu 0.668681872 0.647367778 0.540236353 0.572860723 0.570613409 0.303819444 0.367107195
## Russian 0.632041770 0.720654696 0.697805290 0.698174006 0.798858773 0.781250000 0.146842878
## Albanian 0.430521205 0.403078051 0.461451885 0.447547440 0.313837375 0.303819444 0.440528634
## Japanese 0.412201154 0.342005619 0.270118177 0.232724669 0.285306705 0.217013889 0.146842878
## Hindi 0.403041129 0.244289728 0.270118177 0.268528464 0.228245364 0.173611111 0.220264317
## Portuguese 0.357241000 0.354220105 0.416432189 0.554958826 0.485021398 0.477430556 0.293685756
## Punjabi 0.357241000 0.354220105 0.450196961 0.411743645 0.427960057 0.520833333 0.367107195
## Greek 0.348080975 0.256504214 0.337647721 0.411743645 0.228245364 0.217013889 0.073421439
## Romanian 0.338920949 0.329791132 0.258863253 0.179018976 0.114122682 0.086805556 0.073421439
## Burmese 0.311440872 0.439721510 0.438942037 0.465449338 0.399429387 0.347222222 0.220264317
## Cantonese 0.283960795 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Ukrainian 0.256480718 0.195431782 0.202588633 0.214822771 0.142653352 0.173611111 0.073421439
## Serbo-Croatian 0.229000641 0.195431782 0.202588633 0.179018976 0.228245364 0.260416667 0.146842878
## Pilipino 0.219840616 0.293147673 0.315137873 0.250626566 0.199714693 0.217013889 0.220264317
## Turkish 0.192360539 0.171002809 0.112549240 0.196920874 0.085592011 0.086805556 0.000000000
## Uzbek 0.183200513 0.207646268 0.225098481 0.125313283 0.142653352 0.130208333 0.220264317
## Gujarati 0.164880462 0.085501405 0.135059088 0.143215181 0.057061341 0.130208333 0.073421439
## Thai 0.164880462 0.122144864 0.135059088 0.143215181 0.142653352 0.217013889 0.220264317
## Yoruba 0.137400385 0.122144864 0.146314012 0.089509488 0.085592011 0.130208333 0.146842878
## Fula 0.119080333 0.122144864 0.123804164 0.107411386 0.171184023 0.130208333 0.000000000
## Twi-Fante 0.119080333 0.122144864 0.078784468 0.107411386 0.114122682 0.130208333 0.073421439
## Indonesian 0.109920308 0.195431782 0.135059088 0.089509488 0.085592011 0.043402778 0.000000000
## Mandarin 0.100760282 0.048857946 0.090039392 0.053705693 0.057061341 0.000000000 0.146842878
## Farsi 0.091600256 0.122144864 0.101294316 0.071607590 0.085592011 0.086805556 0.073421439
## Wolof 0.091600256 0.085501405 0.112549240 0.107411386 0.085592011 0.043402778 0.000000000
## German 0.082440231 0.061072432 0.045019696 0.017901898 0.057061341 0.000000000 0.000000000
## Igbo 0.082440231 0.073286918 0.067529544 0.089509488 0.142653352 0.173611111 0.293685756
## Italian 0.082440231 0.061072432 0.056274620 0.089509488 0.028530670 0.043402778 0.073421439
## Dzongkha 0.073280205 0.073286918 0.078784468 0.107411386 0.057061341 0.043402778 0.073421439
## Malinke-Bambara-Dyula 0.073280205 0.000000000 0.045019696 0.035803795 0.057061341 0.130208333 0.000000000
## Vietnamese 0.073280205 0.109930377 0.112549240 0.107411386 0.057061341 0.043402778 0.000000000
## Hungarian 0.064120180 0.036643459 0.067529544 0.089509488 0.028530670 0.043402778 0.073421439
## Persian 0.064120180 0.109930377 0.067529544 0.071607590 0.057061341 0.086805556 0.146842878
## Slovak 0.064120180 0.024428973 0.022509848 0.017901898 0.000000000 0.000000000 0.000000000
## Afrikaans 0.045800128 0.073286918 0.045019696 0.089509488 0.057061341 0.086805556 0.073421439
## Akan 0.045800128 0.085501405 0.056274620 0.035803795 0.085592011 0.086805556 0.000000000
## Cebuano 0.045800128 0.073286918 0.078784468 0.071607590 0.057061341 0.086805556 0.073421439
## Dutch-Flemish 0.045800128 0.036643459 0.045019696 0.035803795 0.085592011 0.086805556 0.073421439
## Georgian 0.045800128 0.073286918 0.067529544 0.089509488 0.028530670 0.000000000 0.000000000
## Pashtu 0.045800128 0.061072432 0.056274620 0.035803795 0.114122682 0.130208333 0.146842878
## Sinhalese 0.045800128 0.061072432 0.022509848 0.017901898 0.028530670 0.000000000 0.000000000
## Armenian 0.036640103 0.048857946 0.078784468 0.071607590 0.028530670 0.000000000 0.000000000
## Berber 0.036640103 0.024428973 0.045019696 0.035803795 0.057061341 0.043402778 0.000000000
## Hausa 0.036640103 0.024428973 0.022509848 0.017901898 0.000000000 0.000000000 0.000000000
## Latin 0.036640103 0.048857946 0.056274620 0.071607590 0.085592011 0.130208333 0.073421439
## Bulgarian 0.027480077 0.012214486 0.056274620 0.071607590 0.085592011 0.043402778 0.000000000
## Czech 0.027480077 0.012214486 0.011254924 0.017901898 0.000000000 0.000000000 0.000000000
## Futa Jalon 0.027480077 0.024428973 0.011254924 0.035803795 0.000000000 0.000000000 0.000000000
## Hebrew 0.027480077 0.036643459 0.067529544 0.071607590 0.000000000 0.043402778 0.000000000
## Javanese 0.027480077 0.012214486 0.022509848 0.035803795 0.000000000 0.000000000 0.000000000
## Macedonian 0.027480077 0.036643459 0.022509848 0.017901898 0.000000000 0.000000000 0.000000000
## Mongolian 0.027480077 0.024428973 0.011254924 0.000000000 0.000000000 0.000000000 0.073421439
## Tajiki 0.027480077 0.048857946 0.056274620 0.035803795 0.114122682 0.043402778 0.073421439
## Amharic 0.018320051 0.024428973 0.022509848 0.017901898 0.028530670 0.000000000 0.073421439
## Byelorussian 0.018320051 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Ewe 0.018320051 0.000000000 0.000000000 0.000000000 0.028530670 0.043402778 0.000000000
## Fon 0.018320051 0.012214486 0.011254924 0.035803795 0.028530670 0.000000000 0.000000000
## Kazakh 0.018320051 0.000000000 0.022509848 0.017901898 0.028530670 0.086805556 0.146842878
## Malayalam 0.018320051 0.024428973 0.033764772 0.035803795 0.085592011 0.086805556 0.146842878
## More 0.018320051 0.012214486 0.022509848 0.035803795 0.028530670 0.000000000 0.000000000
## Swahili 0.018320051 0.012214486 0.011254924 0.017901898 0.000000000 0.000000000 0.073421439
## Tamil 0.018320051 0.000000000 0.022509848 0.000000000 0.028530670 0.000000000 0.000000000
## Turkmen 0.018320051 0.012214486 0.011254924 0.017901898 0.057061341 0.000000000 0.000000000
## Esperanto 0.009160026 0.000000000 0.011254924 0.000000000 0.000000000 0.000000000 0.000000000
## Galician 0.009160026 0.012214486 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Kannada 0.009160026 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Karen 0.009160026 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Kashmiri 0.009160026 0.012214486 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Khmer 0.009160026 0.000000000 0.000000000 0.017901898 0.028530670 0.000000000 0.000000000
## Kirghiz 0.009160026 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Lao 0.009160026 0.024428973 0.011254924 0.000000000 0.000000000 0.000000000 0.000000000
## Lithuanian 0.009160026 0.012214486 0.022509848 0.035803795 0.028530670 0.000000000 0.000000000
## Malay 0.009160026 0.000000000 0.011254924 0.017901898 0.028530670 0.000000000 0.000000000
## Moldavian 0.009160026 0.000000000 0.011254924 0.000000000 0.000000000 0.000000000 0.000000000
## Nyanja 0.009160026 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Pampangan 0.009160026 0.012214486 0.011254924 0.017901898 0.028530670 0.000000000 0.000000000
## Pangasinan 0.009160026 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Shona 0.009160026 0.012214486 0.000000000 0.017901898 0.000000000 0.000000000 0.000000000
## Somali 0.009160026 0.012214486 0.011254924 0.000000000 0.000000000 0.000000000 0.000000000
## Soninke 0.009160026 0.048857946 0.045019696 0.000000000 0.028530670 0.000000000 0.000000000
## Swedish 0.009160026 0.024428973 0.022509848 0.000000000 0.000000000 0.000000000 0.000000000
## Telugu 0.009160026 0.000000000 0.011254924 0.000000000 0.028530670 0.043402778 0.073421439
## Tigrinya 0.009160026 0.024428973 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Tiv 0.009160026 0.012214486 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Uighur 0.009160026 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Cambodian 0.000000000 0.012214486 0.011254924 0.017901898 0.000000000 0.000000000 0.000000000
## Catalan 0.000000000 0.000000000 0.011254924 0.000000000 0.000000000 0.000000000 0.000000000
## Chiga 0.000000000 0.012214486 0.011254924 0.035803795 0.000000000 0.000000000 0.000000000
## Edo 0.000000000 0.012214486 0.033764772 0.071607590 0.057061341 0.043402778 0.000000000
## Efik 0.000000000 0.000000000 0.011254924 0.017901898 0.000000000 0.000000000 0.000000000
## Estonian 0.000000000 0.000000000 0.011254924 0.000000000 0.000000000 0.000000000 0.000000000
## Fang-Bulu 0.000000000 0.000000000 0.000000000 0.017901898 0.000000000 0.043402778 0.073421439
## Finnish 0.000000000 0.000000000 0.011254924 0.017901898 0.000000000 0.000000000 0.000000000
## Fulakunda 0.000000000 0.000000000 0.000000000 0.017901898 0.028530670 0.000000000 0.073421439
## Gaelic 0.000000000 0.012214486 0.022509848 0.000000000 0.000000000 0.000000000 0.000000000
## Guarani 0.000000000 0.000000000 0.022509848 0.017901898 0.028530670 0.043402778 0.073421439
## Ibibio 0.000000000 0.000000000 0.000000000 0.017901898 0.000000000 0.000000000 0.000000000
## Ilocano 0.000000000 0.000000000 0.022509848 0.017901898 0.028530670 0.000000000 0.073421439
## Kabyle 0.000000000 0.012214486 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Kikuyu 0.000000000 0.012214486 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Kurdish 0.000000000 0.000000000 0.011254924 0.000000000 0.000000000 0.000000000 0.000000000
## Latvian 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.043402778 0.000000000
## Marathi 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.043402778 0.000000000
## Panay-Hiligaynon 0.000000000 0.000000000 0.011254924 0.000000000 0.000000000 0.000000000 0.000000000
## Pushto 0.000000000 0.024428973 0.011254924 0.035803795 0.028530670 0.000000000 0.000000000
## Quechua 0.000000000 0.012214486 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Slovene 0.000000000 0.012214486 0.011254924 0.017901898 0.000000000 0.000000000 0.000000000
## Sotho 0.000000000 0.012214486 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
## Sundanese 0.000000000 0.000000000 0.011254924 0.000000000 0.000000000 0.000000000 0.000000000
## Sylhetti 0.000000000 0.000000000 0.011254924 0.017901898 0.028530670 0.000000000 0.000000000
## Wu 0.000000000 0.000000000 0.000000000 0.017901898 0.028530670 0.000000000 0.000000000
## Zulu 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.043402778 0.073421439
write.table(thisTable.sorted,"LanguagesSpokenAtLaGuardiaAllDataSummary.txt",sep="\t")
write.csv(thisTable.sorted, file= "LanguagesSpokenAtLaGuardiaAllDataTable.csv", row.names = TRUE)
write.csv(thisTable.prop, file= "LanguagesSpokenAtLaGuardiaAllDataTableProp.csv", row.names = TRUE)
write.csv(thisTable.noNA_sorted, file= "LanguagesSpokenAtLaGuardiaAllDataNoNATable.csv", row.names = TRUE)
write.csv(thisTable.noNA_prop, file= "LanguagesSpokenAtLaGuardiaAllDataNoNATableProp.csv", row.names = TRUE)
# the numbers of languages in each year
count(thisTable.noNA[,1] > 0)## x freq
## 1 FALSE 27
## 2 TRUE 97
count(thisTable.noNA[,2] > 0)## x freq
## 1 FALSE 34
## 2 TRUE 90
count(thisTable.noNA[,3] > 0)## x freq
## 1 FALSE 26
## 2 TRUE 98
count(thisTable.noNA[,4] > 0)## x freq
## 1 FALSE 35
## 2 TRUE 89
count(thisTable.noNA[,5] > 0)## x freq
## 1 FALSE 47
## 2 TRUE 77
count(thisTable.noNA[,6] > 0)## x freq
## 1 FALSE 62
## 2 TRUE 62
count(thisTable.noNA[,7] > 0)## x freq
## 1 FALSE 70
## 2 TRUE 54