#Load Packages and Set Working Directory
library("ggplot2")
library("dplyr")
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library("viridis")
## Loading required package: viridisLite
library("geomtextpath")
library("ggrepel")
setwd("C:/Users/jschm/OneDrive/Desktop/Subterm 1/STAA 566 - Data Visualization")
renew_df<-read.csv("Renewable electricity output_G7.csv")
renew_df<-read.csv("Renewable electricity output_G7.csv")
#filter our regions that overlap with European Union
renew_df<-renew_df%>%filter(Country != "Italy")%>%
filter(Country != "Germany")%>%
filter(Country != "France")
#create initial plot
renew_plot<-ggplot(data = renew_df, mapping = aes(x = Year,
y = Renew, color = Country))
#add in aesthetics
renew_plot<-renew_plot+
geom_line()+
theme_classic()+
ggtitle("Renewable electricity output by G7 Region",subtitle = "(as % of total region electricity output)")+
ylab("% of total country output")+
xlab("Years")+
theme(legend.position = "none")+
theme(axis.title = element_text(size = 11))+
labs(caption = "Source: World Bank. Note: Italy, Germany and France included as part of European Union")+
theme(plot.caption = element_text(hjust = .5))
#add in labels
# find end of lines
line_ends <- ggplot_build(renew_plot)$data[[1]] %>%
group_by() %>%
filter(x==max(x))
#add continent label
line_ends$Country <- renew_df %>% pull(Country) %>%
unique() %>%
as.character() %>%
sort()
# add direct labels to graph
renew_plot <- renew_plot + ggrepel::geom_label_repel(data = line_ends,
aes(x = line_ends$x, y = line_ends$y,
label = Country),
nudge_x = 100,
label.size=NA,
fill = alpha(c("white"),0))
renew_plot

pdf("Renewable_Energy.pdf", height=4, width=6)
print(renew_plot)
dev.off()
## png
## 2