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Download the latest and archived datasets from the Quality of Government Institute using the function read_qog(). See ?read_qog for help, package vignette for more examples and data.markuskainu.fi/qog/ for interactive metadata.

Installation

remotes::install_github("ropengov/rqog")

Alternatively, you can use the r-universe:

# Enable this universe
options(repos = c(
  ropengov = "https://ropengov.r-universe.dev",
  CRAN = "https://cloud.r-project.org"
))

install.packages("rqog")

Use

Download data

library(rqog)
dat <- read_qog(which_data = "standard", data_type = "time-series")

Browse metadata

library(rqog)
meta_std_ts_2022[grepl("human development", meta_std_ts_2022$name, ignore.case = TRUE),]
#> # A tibble: 2 × 5
#>   code     name                    value label class  
#>   <chr>    <chr>                   <dbl> <chr> <chr>  
#> 1 iiag_hd  Human Development          NA <NA>  numeric
#> 2 undp_hdi Human Development Index    NA <NA>  numeric

Plot an indicator

library(ggplot2)
ggplot(dat[!is.na(dat$undp_hdi),], 
       aes(x = year, y = undp_hdi, color = cname)) + 
  geom_line() + 
  theme(legend.position = "none")

Copyright (C) 2012-2022 Markus Kainu . MIT-licence.

Disclaimer

This package is in no way officially related to or endorsed by Quality of Government Institute.