用於訪問開放資料庫的包

為訪問某些資料庫專門建立了許多包。使用它們可以節省大量時間來讀取/格式化資料。

歐盟統計局

儘管 eurostat 包具有 search_eurostat() 功能，但它找不到所有可用的相關資料集。這樣，在 Eurostat 網站上手動瀏覽資料集的程式碼更方便： 國家資料庫或區域資料庫 。如果自動下載不起作用，則可以通過批量下載工具手動獲取資料。

library(tidyverse)
library(lubridate)
library(forcats)
library(eurostat)
library(geofacet)
library(viridis)
library(ggthemes)
library(extrafont)

# download NEET data for countries
neet <- get_eurostat("edat_lfse_22")

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))