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R Documentation at Stack Overflow
One of the nice features of R is the ease of data acquisition. I am now working on the examples of data acquisition form different sources within an R session. Soon I am going publish a long-read with an overview of demographic data acquisition in R.
Please consider contributing your examples to the Data aquisition topic.
NEET in Europe
As an example of Eurostat data usage I chose to show the dynamics of NEET (Young people neither in employment nor in education and training) in European countries. The example is using the brilliant geofact package.
library(tidyverse)
library(lubridate)
library(forcats)
library(eurostat)
library(geofacet)
library(viridis)
library(ggthemes)
library(extra)
# Find the needed dataset code
# http://ec.europa.eu/eurostat/web/regions/data/database
# download fertility rates for countries
neet <- get_eurostat("edat_lfse_22")
# if the automated download does not work, the data can be grabbed manually at
# http://ec.europa.eu/eurostat/estat-navtree-portlet-prod/BulkDownloadListing
neet %>%
filter(geo %>% paste %>% nchar == 2,
sex == "T", age == "Y18-24") %>%
group_by(geo) %>%
mutate(avg = values %>% mean()) %>%
ungroup() %>%
ggplot(aes(x = time %>% year(),
y = values))+
geom_path(aes(group = 1))+
geom_point(aes(fill = values), pch = 21)+
scale_x_continuous(breaks = seq(2000, 2015, 5),
labels = c("2000", "'05", "'10", "'15"))+
scale_y_continuous(expand = c(0, 0), limits = c(0, 40))+
scale_fill_viridis("NEET, %", option = "B")+
facet_geo(~ geo, grid = "eu_grid1")+
labs(x = "Year",
y = "NEET, %",
title = "Young people neither in employment nor in education and training in Europe",
subtitle = "Data: Eurostat Regional Database, 2000-2016",
caption = "ikashnitsky.github.io")+
theme_few(base_family = "Roboto Condensed", base_size = 15)+
theme(axis.text = element_text(size = 10),
panel.spacing.x = unit(1, "lines"),
legend.position = c(0, 0),
legend.justification = c(0, 0))
The whole code may be downloaded from the gist
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