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server.R
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# The main results of this code are two outputs:
# 1.The output$map element
# 2.The output$wordcloud element
shinyServer(function(input, output){
# 1.The output$map element:
# this element is a ggplot map that varies depending on the conditionals
# In every conditional 3 objects change:
# a. the global$oc2 column which is the link to the Country Report when clicking
# b. The sentiment (which is stored in the global data frame)
# c. The ggplot map (changes depending on the sentiments)
# At the end the final ggplot is used in the ggiraph function to turn it interactive
output$map <- renderggiraph({
if(input$year == "2012" & input$dictionary == "NRC"){
global$oc2 <- sprintf(
"window.open(\"%s%s%s\")",
"https://ec.europa.eu/info/sites/info/files/file_import/swd2012_",
as.character(global$region),"_en_0.pdf"
)
Sentiment <- factor(global$NRC_2012, levels = c("trust", "anticipation"))
gg2 <- ggplot(data = global, aes(x=long, y = lat)) +
geom_polygon_interactive(aes(fill = Sentiment,
group = group,
tooltip = region, data_id = region,
onclick = oc2), colour = "black") +
coord_fixed(1.3) + xlim(-12,42) + ylim(35,73) +
labs(x = "", y = "", title = "Europe Sentiment Analysis", subtitle = "Sentiment Analysis on European Comission Annual Report") +
theme_bw() +
theme(panel.grid = element_blank()) +
theme(strip.text = element_blank()) +
#theme(legend.title=element_text("Sentiment")) +
theme(title = element_text(face = "bold")) +
scale_fill_discrete(na.value="grey")
}
else if(input$year == "2015" & input$dictionary == "NRC"){
global$oc2 <- sprintf(
"window.open(\"%s%s%s\")",
"https://ec.europa.eu/info/sites/info/files/file_import/cr2015_",
as.character(global$region),"_en_0.pdf"
)
Sentiment <- factor(global$NRC_2015, levels = c("trust","anticipation"))
gg2 <- ggplot(data = global, aes(x=long, y = lat)) +
geom_polygon_interactive(aes(fill = Sentiment, group = group,
tooltip = region, data_id = region, onclick = oc2), colour = "black") +
coord_fixed(1.3) + xlim(-12,42) + ylim(35,73) +
labs(x = "", y = "", title = "Europe Sentiment Analysis", subtitle = "Sentiment Analysis on European Comission Annual Report") +
theme_bw() +
theme(panel.grid = element_blank()) +
theme(strip.text = element_blank()) +
#theme(legend.title=element_blank()) +
theme(title = element_text(face = "bold")) +
scale_fill_discrete(na.value="grey")
}
else if(input$year == "2018" & input$dictionary == "NRC"){
global$oc2 <- sprintf(
"window.open(\"%s%s%s\")",
"https://ec.europa.eu/info/sites/info/files/2018-european-semester-country-report-",
as.character(global$region),"-en.pdf"
)
Sentiment <- factor(global$NRC_2018, levels = c("trust", "anticipation"))
gg2 <- ggplot(data = global, aes(x=long, y = lat)) +
geom_polygon_interactive(aes(fill = Sentiment, group = group,
tooltip = region, data_id = region, onclick = oc2), colour = "black") +
coord_fixed(1.3) + xlim(-12,42) + ylim(35,73) +
labs(x = "", y = "", title = "Europe Sentiment Analysis", subtitle = "Sentiment Analysis on European Comission Annual Report") +
theme_bw() +
theme(panel.grid = element_blank()) +
theme(strip.text = element_blank()) +
#theme(legend.title=element_blank()) +
theme(title = element_text(face = "bold")) +
scale_fill_discrete(na.value="grey")
}
else if(input$year == "2012" & input$dictionary == "Minqing"){
global$oc2 <- sprintf(
"window.open(\"%s%s%s\")",
"https://ec.europa.eu/info/sites/info/files/file_import/swd2012_",
as.character(global$region),"_en_0.pdf"
)
Positivity <- global$minqing_2012
gg2 <- ggplot(data = global, aes(x=long, y = lat)) +
geom_polygon_interactive(aes(fill = Positivity,
group = group,
tooltip = region,
data_id = region,
onclick = oc2), colour = "black") +
coord_fixed(1.3) + xlim(-12,42) + ylim(35,73) +
labs(x = "", y = "", title = "Europe Sentiment Analysis", subtitle = "Sentiment Analysis on European Comission Annual Report") +
theme_bw() +
theme(panel.grid = element_blank()) +
theme(strip.text = element_blank()) +
#theme(legend.title=element_blank()) +
theme(title = element_text(face = "bold")) +
scale_fill_continuous(na.value="grey") +
scale_fill_gradient2(low = "yellow", mid = "red", high = "green")
}
else if(input$year == "2015" & input$dictionary == "Minqing"){
global$oc2 <- sprintf(
"window.open(\"%s%s%s\")",
"https://ec.europa.eu/info/sites/info/files/file_import/cr2015_",
as.character(global$region),"_en_0.pdf"
)
Positivity <- global$minqing_2015
gg2 <- ggplot(data = global, aes(x=long, y = lat)) +
geom_polygon_interactive(aes(fill = Positivity,
group = group,
tooltip = region,
data_id = region,
onclick = oc2), colour = "black") +
coord_fixed(1.3) + xlim(-12,42) + ylim(35,73) +
labs(x = "", y = "", title = "Europe Sentiment Analysis", subtitle = "Sentiment Analysis on European Comission Annual Report") +
theme_bw() +
theme(panel.grid = element_blank()) +
theme(strip.text = element_blank()) +
#theme(legend.title=element_blank()) +
theme(title = element_text(face = "bold")) +
scale_fill_continuous(na.value="grey") +
scale_fill_gradient2(low = "yellow", mid = "red", high = "green")
}
else if(input$year == "2018" & input$dictionary == "Minqing"){
global$oc2 <- sprintf(
"window.open(\"%s%s%s\")",
"https://ec.europa.eu/info/sites/info/files/2018-european-semester-country-report-",
as.character(global$region),"-en.pdf"
)
Positivity <- global$minqing_2018
gg2 <- ggplot(data = global, aes(x=long, y = lat)) +
geom_polygon_interactive(aes(fill = Positivity,
group = group,
tooltip = region,
data_id = region,
onclick = oc2), colour = "black") +
coord_fixed(1.3) + xlim(-12,42) + ylim(35,73) +
labs(x = "", y = "", title = "Europe Sentiment Analysis", subtitle = "Sentiment Analysis on European Comission Annual Report") +
theme_bw() +
theme(panel.grid = element_blank()) +
theme(strip.text = element_blank()) +
#theme(legend.title=element_blank()) +
theme(title = element_text(face = "bold")) +
scale_fill_continuous(na.value="grey") +
scale_fill_gradient2(low = "yellow", mid = "red", high = "green")
}
else if(input$year == "2012" & input$dictionary == "Sentimentr"){
global$oc2 <- sprintf(
"window.open(\"%s%s%s\")",
"https://ec.europa.eu/info/sites/info/files/file_import/swd2012_",
as.character(global$region),"_en_0.pdf"
)
Positivity <- global$sentimentr_2012
gg2 <- ggplot(data = global, aes(x=long, y = lat)) +
geom_polygon_interactive(aes(fill = Positivity, group = group,
tooltip = region, data_id = region, onclick = oc2), colour = "black") +
coord_fixed(1.3) + xlim(-12,42) + ylim(35,73) +
labs(x = "", y = "", title = "Europe Sentiment Analysis", subtitle = "Sentiment Analysis on European Comission Annual Report") +
theme_bw() +
theme(panel.grid = element_blank()) +
theme(strip.text = element_blank()) +
#theme(legend.title=element_blank()) +
theme(title = element_text(face = "bold")) +
scale_fill_continuous(na.value="grey") +
scale_fill_gradient2(low = "yellow", mid = "red", high = "green")
}
else if(input$year == "2015" & input$dictionary == "Sentimentr"){
global$oc2 <- sprintf(
"window.open(\"%s%s%s\")",
"https://ec.europa.eu/info/sites/info/files/file_import/cr2015_",
as.character(global$region),"_en_0.pdf"
)
Positivity <- global$sentimentr_2015
gg2 <- ggplot(data = global, aes(x=long, y = lat)) +
geom_polygon_interactive(aes(fill = Positivity, group = group,
tooltip = region, data_id = region, onclick = oc2), colour = "black") +
coord_fixed(1.3) + xlim(-12,42) + ylim(35,73) +
labs(x = "", y = "", title = "Europe Sentiment Analysis", subtitle = "Sentiment Analysis on European Comission Annual Report") +
theme_bw() +
theme(panel.grid = element_blank()) +
theme(strip.text = element_blank()) +
#theme(legend.title=element_blank()) +
theme(title = element_text(face = "bold")) +
scale_fill_continuous(na.value="grey") +
scale_fill_gradient2(low = "yellow", mid = "red", high = "green")
}
else {
global$oc2 <- sprintf(
"window.open(\"%s%s%s\")",
"https://ec.europa.eu/info/sites/info/files/2018-european-semester-country-report-",
as.character(global$region),"-en.pdf"
)
Positivity <- global$sentimentr_2018
gg2 <- ggplot(data = global, aes(x=long, y = lat)) +
geom_polygon_interactive(aes(fill = Positivity, group = group,
tooltip = region, data_id = region, onclick = oc2), colour = "black") +
coord_fixed(1.3) + xlim(-12,42) + ylim(35,73) +
labs(x = "", y = "", title = "Europe Sentiment Analysis", subtitle = "Sentiment Analysis on European Comission Annual Report") +
theme_bw() +
theme(panel.grid = element_blank()) +
theme(strip.text = element_blank()) +
#theme(legend.title=element_blank()) +
theme(title = element_text(face = "bold")) +
scale_fill_continuous(na.value="grey") +
scale_fill_gradient2(low = "yellow", mid = "red", high = "green")
}
ggiraph(ggobj = gg2, selection_type = "none")
})
# 2.The output$wordcloud element:
# Takes the year and the country as inputs and makes a Wordclud
# Before doing the wordcloud, a dataframe by country is created with
# the frequency of each word
output$wordcloud <- renderWordcloud2({
# Bigger size wordcloud 2012
if (input$year == "2012" & input$country %in% c("czech republic",
"france",
"germany",
"italy",
"netherland",
"portugal",
"slovakia",
"uk")) {
country_df <- data.frame(unlist(list_2012_cleaned[[input$country]]))
colnames(country_df) <- c("words")
words_df <- plyr::count(country_df, "words")
words_df <- words_df[order(words_df$freq, decreasing = T),]
words_df <- words_df[words_df$freq >= 1,]
wordcloud2::wordcloud2(words_df, size = 0.3)
}
# Normal size wordcloud 2012
else if(input$year == "2012" & !(input$country %in% c("czech republic",
"france",
"germany",
"italy",
"netherland",
"portugal",
"slovakia",
"uk"))){
country_df <- data.frame(unlist(list_2015_cleaned[[input$country]]))
colnames(country_df) <- c("words")
words_df <- plyr::count(country_df, "words")
words_df <- words_df[order(words_df$freq, decreasing = T),]
words_df <- words_df[words_df$freq >= 2,]
wordcloud2::wordcloud2(words_df, size = 0.22)
}
# Bigger size wordcloud 2015
else if(input$year == "2015" & input$country %in% c("belgium",
"france",
"germany",
"ireland",
"italy",
"netherlands",
"poland",
"slovakia",
"slovenia")){
country_df <- data.frame(unlist(list_2015_cleaned[[input$country]]))
colnames(country_df) <- c("words")
words_df <- plyr::count(country_df, "words")
words_df <- words_df[order(words_df$freq, decreasing = T),]
words_df <- words_df[words_df$freq >= 2,]
wordcloud2::wordcloud2(words_df, size = 0.32)
}
# Normal size wordcloud 2015
else if(input$year == "2015" & !(input$country %in% c("belgium",
"france",
"germany",
"ireland",
"italy",
"netherlands",
"poland",
"slovakia",
"slovenia"))){
country_df <- data.frame(unlist(list_2015_cleaned[[input$country]]))
colnames(country_df) <- c("words")
words_df <- plyr::count(country_df, "words")
words_df <- words_df[order(words_df$freq, decreasing = T),]
words_df <- words_df[words_df$freq >= 2,]
wordcloud2::wordcloud2(words_df, size = 0.22)
}
# Bigger size wordcloud 2018
else if(input$year == "2018" & input$country %in% c("estonia",
"germany")){
country_df <- data.frame(unlist(list_2018_cleaned[[input$country]]))
colnames(country_df) <- c("words")
words_df <- plyr::count(country_df, "words")
words_df <- words_df[order(words_df$freq, decreasing = T),]
words_df <- words_df[words_df$freq >= 3,]
wordcloud2::wordcloud2(words_df, size = 0.32)
}
# Normal size wordcloud 2018
else if(input$year == "2018" & !(input$country %in% c("estonia",
"germany"))){
country_df <- data.frame(unlist(list_2018_cleaned[[input$country]]))
colnames(country_df) <- c("words")
words_df <- plyr::count(country_df, "words")
words_df <- words_df[order(words_df$freq, decreasing = T),]
words_df <- words_df[words_df$freq >= 3,]
wordcloud2::wordcloud2(words_df, size = 0.25)
}
})
})