#these two lines are equivalent to library(Eurostats).
#use devtools loading to load the package from another repository, git or install it locally
#
# check README.md to mirror the dataset
library(devtools)
load_all()
dataset.name = 'nama_10_pc'
dt = eus.data.load(dataset.name, load.description = TRUE)
print(dt$description)
for (f in dt$extra.fields){
print(paste('extra field=',f))
c=sort(unique(dt$data[[f]]))
c.descr=data.frame(description=eus.dic.get.description(f,c))
rownames(c.descr)=c
print(c.descr)
}
# and we can go for a plot with more meaningful titles
library(ggplot2)
dt.plot = subset(dt$data,
unit=='CP_EUR_HAB' &
geo %in% c('FR', 'DE', 'IT', 'ES', 'UK', 'PT') &
date.year > 2010
)
q = ggplot(dt.plot, aes(x=date, y=value)) +
geom_smooth(aes(colour=geo.description), lwd=1.5) +
facet_wrap( "na_item.description", scales="free_y") +
labs(title=paste(dt$description,
eus.dic.get.description('unit', 'CP_EUR_HAB'), sep='\n')
) +
theme_bw()
print(q)
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