AMECO Dataset

Introduction

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

The AMECO database was last updated: 3 May 2018.

Simple example

The dataset is in a clean, long format:

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

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

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

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

library(ggplot2)

ameco %>% 
  dplyr::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 If you ever see that it is out-of-date, don't hesitate to send a pull request and/or remind me to update it.



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ameco documentation built on May 2, 2019, 7:03 a.m.