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link_aggregation_yearwise.R
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install.packages("arules")
install.packages("xml2")
install.packages("rvest")
install.packages("stringr")
install.packages("XML")
library(XML)
library(xml2)
library(rvest)
library(stringr)
setwd('/Users/shwetha/Documents/R_scraping/')
#college_links<-read.csv('colleges_and_link.csv')
college_links<-read.csv('colleges_and_link_with_gradvalue_yes.csv')
View(college_links)
college_links_2017<-read.csv('colleges_and_link_with_gradvalue_yes_2017.csv')
college_links_2016<-read.csv('colleges_and_link_with_gradvalue_yes_2016.csv')
link_enrollment<-c()
link_enrollment_2017<-c()
link_enrollment_2016<-c()
#link_enrollment<-college_links$new_list_crawl
#college_links<-cbind(college_links,link_enrollment)
#college_links$link_enrollment<-as.character(college_links$link_enrollment)
college_links$new_list_crawl<-as.character(college_links$new_list_crawl)
college_links_2017$new_list_crawl<-as.character(college_links_2017$new_list_crawl)
college_links_2016$new_list_crawl<-as.character(college_links_2016$new_list_crawl)
#View(college_links)
i<-2
for(i in 1:nrow(college_links)){
print(i)
url<-college_links$new_list_crawl[i];
class(url)
#url<-as.character(url)
#url_node<-read_html(url);
#table_node<-html_nodes(url_node,'li')
#View(table_node)
#table_node_formatted<-html_text(table_node)
#View(table_node_formatted)
url
#url<-sub("1?","26?school_name",url)
#url<-gsub("1?2","",url)
#url<-rev(url)
url<-paste(rev(substring(url,1:nchar(url),1:nchar(url))),collapse="")
url
url<-str_replace(url,"1","72")
url<-paste(rev(substring(url,1:nchar(url),1:nchar(url))),collapse="")
print(url)
#print("blha")
#print(college_links[i,4])
#print(college_links[i,4])
#college_links[i,4]<-'url'
#print("lol")
#print(college_links[i,3])
#print(college_links$link_enrollment[i])
#View(college_links)
link_enrollment<-append(link_enrollment,url)
#View(link_enrollment)
}
#length(link_enrollment)
#View(college_links)
college_links<-cbind(college_links,link_enrollment)
#write.csv(college_links,'college_links_enrollmentlink.csv')
#View(college_links)
#i<-1
for(i in 1:nrow(college_links_2017)){
print(i)
url<-college_links_2017$new_list_crawl[i];
class(url)
#url<-as.character(url)
#url_node<-read_html(url);
#table_node<-html_nodes(url_node,'li')
#View(table_node)
#table_node_formatted<-html_text(table_node)
#View(table_node_formatted)
url
#url<-sub("1?","26?school_name",url)
#url<-gsub("1?2","",url)
#url<-rev(url)
url<-paste(rev(substring(url,1:nchar(url),1:nchar(url))),collapse="")
url
url<-str_replace(url,"1","72")
url<-paste(rev(substring(url,1:nchar(url),1:nchar(url))),collapse="")
print(url)
#print("blha")
#print(college_links[i,4])
#print(college_links[i,4])
#college_links[i,4]<-'url'
#print("lol")
#print(college_links[i,3])
#print(college_links$link_enrollment[i])
#View(college_links)
link_enrollment_2017<-append(link_enrollment_2017,url)
#View(link_enrollment)
}
#length(link_enrollment)
#View(college_links)
college_links_2017<-cbind(college_links_2017,link_enrollment_2017)
#write.csv(college_links,'college_links_enrollmentlink.csv')
#View(college_links)
#i<-1
for(i in 1:nrow(college_links_2016)){
print(i)
url<-college_links_2016$new_list_crawl[i];
class(url)
#url<-as.character(url)
#url_node<-read_html(url);
#table_node<-html_nodes(url_node,'li')
#View(table_node)
#table_node_formatted<-html_text(table_node)
#View(table_node_formatted)
url
#url<-sub("1?","26?school_name",url)
#url<-gsub("1?2","",url)
#url<-rev(url)
url<-paste(rev(substring(url,1:nchar(url),1:nchar(url))),collapse="")
url
url<-str_replace(url,"1","72")
url<-paste(rev(substring(url,1:nchar(url),1:nchar(url))),collapse="")
print(url)
#print("blha")
#print(college_links[i,4])
#print(college_links[i,4])
#college_links[i,4]<-'url'
#print("lol")
#print(college_links[i,3])
#print(college_links$link_enrollment[i])
#View(college_links)
link_enrollment_2016<-append(link_enrollment_2016,url)
#View(link_enrollment)
}
#length(link_enrollment)
#View(college_links)
college_links_2016<-cbind(college_links_2016,link_enrollment_2016)
#write.csv(college_links,'college_links_enrollmentlink.csv')
#View(college_links)
i<-1
for(i in 1:nrow(college_links)){
url_enrollment<-college_links$link_enrollment[i]
url_enrollment
college_name<-as.character(college_links$table_content_collegenames_readable[i])
#college_name
tryCatch({
table_enrollment<-readHTMLTable(as.character(url_enrollment),which = 1)
View(table_enrollment)
header_row<-colnames(table_enrollment)
colnames(table_enrollment)[1]=college_name
header_row_first_row<-colnames(table_enrollment)
header_row_first_row<-as.data.frame(t(header_row_first_row))
colnames(header_row_first_row)<-colnames(table_enrollment)
table_enrollment<-rbind(header_row_first_row,table_enrollment)
colnames(table_enrollment)<-header_row
for(j in 3:ncol(table_enrollment)){
if((j)<=ncol(table_enrollment)){
table_enrollment[,(j)]<-NULL
j<-j+1;
}
}
header1<-data.frame('Group','Nonresident Alien','Unkown','Hispanic','American Indian','Asian','Black','Pacific Islander','White','2 or more','Total')
colnames(table_enrollment)<-colnames(header1)
View(table_enrollment)
table_enrollment_output<-data.frame(table_enrollment$X.Group.)
View(table_enrollment_output_demo)
table_enrollment_output_demo<-data.frame(table_enrollment$X.Total.)
table_enrollment_output<-cbind(table_enrollment_output,table_enrollment_output_demo)
##############setwd('/Users/shwetha/Documents/R_scraping/enrollment/Desired_output_data/')
#setwd('/Users/shwetha/Documents/R_scraping/enrollment/Level_1 data/')
##############write.csv(table_enrollment_output,file = paste(college_name,'_output.csv',sep = ''))
##############setwd('/Users/shwetha/Documents/R_scraping/enrollment/Level_1 data/')
##############write.csv(table_enrollment,file = paste(college_name,'_output.csv',sep = ''))
#########
men_coll<-c()
women_coll<-c()
original_coll<-c()
#k<-4
for(k in 1:nrow(table_enrollment_output)){
table_enrollment_output$table_enrollment.X.Group.[k]
table_enrollment_output$table_enrollment.X.Total.[k]
if(table_enrollment_output$table_enrollment.X.Group.[k]=='Men'){
men_coll_temp<-table_enrollment_output$table_enrollment.X.Total.[k];
men_coll_temp<-as.character(men_coll_temp)
#men_coll_temp
#typeof(men_coll)
men_coll<-append(men_coll,men_coll_temp)
}
if(table_enrollment_output$table_enrollment.X.Group.[k]=='Women'){
women_coll_temp<-table_enrollment_output$table_enrollment.X.Total.[k];
women_coll_temp<-as.character(women_coll_temp)
women_coll<-append(women_coll,women_coll_temp);
women_coll
}
if(table_enrollment_output$table_enrollment.X.Group.[k]!='Women' && table_enrollment_output$table_enrollment.X.Group.[k]!='Men'&&table_enrollment_output$table_enrollment.X.Group.[k]!=college_name && table_enrollment_output$table_enrollment.X.Group.[k]!='Totals:'){
original_coll_temp<-table_enrollment_output$table_enrollment.X.Group.[k];
original_coll_temp<-as.character(original_coll_temp)
original_coll<-append(original_coll,original_coll_temp);
}
}
#men_coll
original_coll<-append(paste(college_name,"_2018"),original_coll)
men_coll<-append("M",men_coll)
women_coll<-append("F",women_coll)
length(original_coll)
original_coll
length(men_coll)
women_coll
desired_data_take2<-c()
desired_data_take2<-as.data.frame(desired_data_take2)
desired_data_take2<-(original_coll)
desired_data_take2<-cbind(desired_data_take2,men_coll)
desired_data_take2<-cbind(desired_data_take2,women_coll)
View(desired_data_take2)
##setwd('/Users/shwetha/Documents/R_scraping/PHD/desired_output_collegepond_2018_phd/')
##write.csv(desired_data_take2,file = paste(college_name,'_output.csv',sep = ''))
dir.create(file.path('/Users/shwetha/Documents/R_scraping/enrollment', college_name), showWarnings = FALSE)
setwd(file.path('/Users/shwetha/Documents/R_scraping/enrollment', college_name))
write.csv(desired_data_take2,file = paste(college_name,'_output_2018.csv',sep = ''))
#getwd()
#########
rm(table_enrollment_output)
rm(table_enrollment_output_demo)
rm(desired_data_take2)
table_enrollment<-c()
},error = function(e){
print('Not a table');
})
}
##2017
for(i in 1:nrow(college_links_2017)){
url_enrollment<-college_links_2017$link_enrollment[i]
url_enrollment
college_name<-as.character(college_links_2017$table_content_collegenames_readable[i])
tryCatch({
table_enrollment<-readHTMLTable(as.character(url_enrollment),which = 1)
header_row<-colnames(table_enrollment)
colnames(table_enrollment)[1]=college_name
header_row_first_row<-colnames(table_enrollment)
header_row_first_row<-as.data.frame(t(header_row_first_row))
colnames(header_row_first_row)<-colnames(table_enrollment)
table_enrollment<-rbind(header_row_first_row,table_enrollment)
colnames(table_enrollment)<-header_row
for(j in 3:ncol(table_enrollment)){
if((j)<=ncol(table_enrollment)){
table_enrollment[,(j)]<-NULL
j<-j+1;
}
}
header1<-data.frame('Group','Nonresident Alien','Unkown','Hispanic','American Indian','Asian','Black','Pacific Islander','White','2 or more','Total')
colnames(table_enrollment)<-colnames(header1)
View(table_enrollment)
table_enrollment_output<-data.frame(table_enrollment$X.Group.)
View(table_enrollment_output_demo)
table_enrollment_output_demo<-data.frame(table_enrollment$X.Total.)
table_enrollment_output<-cbind(table_enrollment_output,table_enrollment_output_demo)
##############setwd('/Users/shwetha/Documents/R_scraping/enrollment/Desired_output_data/')
#setwd('/Users/shwetha/Documents/R_scraping/enrollment/Level_1 data/')
##############write.csv(table_enrollment_output,file = paste(college_name,'_output.csv',sep = ''))
##############setwd('/Users/shwetha/Documents/R_scraping/enrollment/Level_1 data/')
##############write.csv(table_enrollment,file = paste(college_name,'_output.csv',sep = ''))
#########
men_coll<-c()
women_coll<-c()
original_coll<-c()
#k<-4
for(k in 1:nrow(table_enrollment_output)){
table_enrollment_output$table_enrollment.X.Group.[k]
table_enrollment_output$table_enrollment.X.Total.[k]
if(table_enrollment_output$table_enrollment.X.Group.[k]=='Men'){
men_coll_temp<-table_enrollment_output$table_enrollment.X.Total.[k];
men_coll_temp<-as.character(men_coll_temp)
#men_coll_temp
#typeof(men_coll)
men_coll<-append(men_coll,men_coll_temp)
}
if(table_enrollment_output$table_enrollment.X.Group.[k]=='Women'){
women_coll_temp<-table_enrollment_output$table_enrollment.X.Total.[k];
women_coll_temp<-as.character(women_coll_temp)
women_coll<-append(women_coll,women_coll_temp);
women_coll
}
if(table_enrollment_output$table_enrollment.X.Group.[k]!='Women' && table_enrollment_output$table_enrollment.X.Group.[k]!='Men'&&table_enrollment_output$table_enrollment.X.Group.[k]!=college_name && table_enrollment_output$table_enrollment.X.Group.[k]!='Totals:'){
original_coll_temp<-table_enrollment_output$table_enrollment.X.Group.[k];
original_coll_temp<-as.character(original_coll_temp)
original_coll<-append(original_coll,original_coll_temp);
}
}
#men_coll
original_coll<-append(paste(college_name,"_2017"),original_coll)
men_coll<-append("M",men_coll)
women_coll<-append("F",women_coll)
length(original_coll)
original_coll
length(men_coll)
women_coll
desired_data_take2<-c()
desired_data_take2<-as.data.frame(desired_data_take2)
desired_data_take2<-(original_coll)
desired_data_take2<-cbind(desired_data_take2,men_coll)
desired_data_take2<-cbind(desired_data_take2,women_coll)
View(desired_data_take2)
setwd('/Users/shwetha/Documents/R_scraping/enrollment/desired_output_collegepond_2018/')
#write.csv(desired_data_take2,file = paste(college_name,'_output.csv',sep = ''))
dir.create(file.path('/Users/shwetha/Documents/R_scraping/enrollment/', college_name), showWarnings = FALSE)
setwd(file.path('/Users/shwetha/Documents/R_scraping/enrollment/', college_name))
write.csv(desired_data_take2,file = paste(college_name,'_output_2017.csv',sep = ''))
#getwd()
#########
rm(table_enrollment_output)
rm(table_enrollment_output_demo)
rm(desired_data_take2)
table_enrollment<-c()
},error = function(e){
print('Not a table');
})
}
##2016
for(i in 1:nrow(college_links_2016)){
url_enrollment<-college_links_2016$link_enrollment[i]
url_enrollment
college_name<-as.character(college_links_2016$table_content_collegenames_readable[i])
tryCatch({
table_enrollment<-readHTMLTable(as.character(url_enrollment),which = 1)
header_row<-colnames(table_enrollment)
colnames(table_enrollment)[1]=college_name
header_row_first_row<-colnames(table_enrollment)
header_row_first_row<-as.data.frame(t(header_row_first_row))
colnames(header_row_first_row)<-colnames(table_enrollment)
table_enrollment<-rbind(header_row_first_row,table_enrollment)
colnames(table_enrollment)<-header_row
for(j in 3:ncol(table_enrollment)){
if((j)<=ncol(table_enrollment)){
table_enrollment[,(j)]<-NULL
j<-j+1;
}
}
header1<-data.frame('Group','Nonresident Alien','Unkown','Hispanic','American Indian','Asian','Black','Pacific Islander','White','2 or more','Total')
colnames(table_enrollment)<-colnames(header1)
View(table_enrollment)
table_enrollment_output<-data.frame(table_enrollment$X.Group.)
View(table_enrollment_output_demo)
table_enrollment_output_demo<-data.frame(table_enrollment$X.Total.)
table_enrollment_output<-cbind(table_enrollment_output,table_enrollment_output_demo)
##############setwd('/Users/shwetha/Documents/R_scraping/enrollment/Desired_output_data/')
#setwd('/Users/shwetha/Documents/R_scraping/enrollment/Level_1 data/')
##############write.csv(table_enrollment_output,file = paste(college_name,'_output.csv',sep = ''))
##############setwd('/Users/shwetha/Documents/R_scraping/enrollment/Level_1 data/')
##############write.csv(table_enrollment,file = paste(college_name,'_output.csv',sep = ''))
#########
men_coll<-c()
women_coll<-c()
original_coll<-c()
#k<-4
for(k in 1:nrow(table_enrollment_output)){
table_enrollment_output$table_enrollment.X.Group.[k]
table_enrollment_output$table_enrollment.X.Total.[k]
if(table_enrollment_output$table_enrollment.X.Group.[k]=='Men'){
men_coll_temp<-table_enrollment_output$table_enrollment.X.Total.[k];
men_coll_temp<-as.character(men_coll_temp)
#men_coll_temp
#typeof(men_coll)
men_coll<-append(men_coll,men_coll_temp)
}
if(table_enrollment_output$table_enrollment.X.Group.[k]=='Women'){
women_coll_temp<-table_enrollment_output$table_enrollment.X.Total.[k];
women_coll_temp<-as.character(women_coll_temp)
women_coll<-append(women_coll,women_coll_temp);
women_coll
}
if(table_enrollment_output$table_enrollment.X.Group.[k]!='Women' && table_enrollment_output$table_enrollment.X.Group.[k]!='Men'&&table_enrollment_output$table_enrollment.X.Group.[k]!=college_name && table_enrollment_output$table_enrollment.X.Group.[k]!='Totals:'){
original_coll_temp<-table_enrollment_output$table_enrollment.X.Group.[k];
original_coll_temp<-as.character(original_coll_temp)
original_coll<-append(original_coll,original_coll_temp);
}
}
#men_coll
original_coll<-append(paste(college_name,"_2016"),original_coll)
men_coll<-append("M",men_coll)
women_coll<-append("F",women_coll)
length(original_coll)
original_coll
length(men_coll)
women_coll
desired_data_take2<-c()
desired_data_take2<-as.data.frame(desired_data_take2)
desired_data_take2<-(original_coll)
desired_data_take2<-cbind(desired_data_take2,men_coll)
desired_data_take2<-cbind(desired_data_take2,women_coll)
View(desired_data_take2)
setwd('/Users/shwetha/Documents/R_scraping/enrollment/desired_output_collegepond_2018/')
#write.csv(desired_data_take2,file = paste(college_name,'_output.csv',sep = ''))
dir.create(file.path('/Users/shwetha/Documents/R_scraping/enrollment/', college_name), showWarnings = FALSE)
setwd(file.path('/Users/shwetha/Documents/R_scraping/enrollment/', college_name))
write.csv(desired_data_take2,file = paste(college_name,'_output_2016.csv',sep = ''))
#getwd()
#########
rm(table_enrollment_output)
rm(table_enrollment_output_demo)
rm(desired_data_take2)
table_enrollment<-c()
},error = function(e){
print('Not a table');
})
}
setwd('/Users/shwetha/Documents/R_scraping/')