README.md

In expersso/ameco: European Commission Annual Macro-Economic (AMECO) Database

AMECO Dataset

This package contains the entire European Commission Annual macro-economic (AMECO) database in a format amenable to analysis in R.

Install it from either CRAN or Github:

# From CRAN
install.packages("ameco")

# From Github
devtools::install_github("expersso/ameco")

Simple example

The dataset is in a clean, long format:

library(dplyr)
library(ameco)
head(ameco)

## # A tibble: 6 x 8
##   code              country   sub.chapter  title  unit  cntry  year  value
##   <chr>             <chr>     <chr>        <chr>  <chr> <chr> <dbl>  <dbl>
## 1 EU28.1.0.0.0.NPTD European~ 01 Populati~ Total~ 1000~ EU28   1960 409118
## 2 EU15.1.0.0.0.NPTD European~ 01 Populati~ Total~ 1000~ EU15   1960 316765
## 3 EA19.1.0.0.0.NPTD Euro area 01 Populati~ Total~ 1000~ EA19   1960 265029
## 4 EA12.1.0.0.0.NPTD Euro are~ 01 Populati~ Total~ 1000~ EA12   1960 252350
## 5 DU15.1.0.0.0.NPTD EU15 (in~ 01 Populati~ Total~ 1000~ DU15   1960 299421
## 6 DA12.1.0.0.0.NPTD EA12 (in~ 01 Populati~ Total~ 1000~ DA12   1960 235006

Filtering with the sub.chapter variable allows you to easily find the variable of interest:

ameco %>% 
  filter(sub.chapter == "01 Population") %>% 
  .$title %>% 
  unique()

## [1] "Total population (National accounts)"
## [2] "Total population"                    
## [3] "Population: 0 to 14 years"           
## [4] "Population: 15 to 64 years"          
## [5] "Population: 65 years and over"

Being interested in the total population of a few countries, we can easily subset the data and plot the results:

library(ggplot2)

ameco %>% 
  filter(title == "Total population",
         year == 2015,
         cntry %in% c("USA", "JPN", "DEU", "FRA", "ESP", "ITA")) %>% 
  ggplot(aes(x = reorder(country, -value), y = value / 1000)) +
  geom_bar(stat = "identity") +
  theme_bw() +
  labs(x = NULL, y = "Population (millions)", title = "Total population")

Disclaimer

This package is not affiliated with, nor endorsed by, the European Commission. I aim to update it whenever the AMECO database is updated. If you ever see that it is out-of-date, don’t hesitate to send a pull request and/or remind me to update it.

expersso/ameco documentation built on Sept. 10, 2019, 6:08 p.m.