Extract specific country and year data

Data is extracted according to the countries and years objects in a way that is amenable to drake subtargets. dplyr::filter() does the subsetting.

Usage

filter_countries_years(
  .df,
  countries,
  years,
  country = IEATools::iea_cols$country,
  year = IEATools::iea_cols$year
)

Arguments

.df

A data frame containing cleaned data with lots of countries and years.

countries

A list of country codes for countries to be analyzed. "all" means return all countries.

years

A vector of years. "all" means return all years.

country, year

See IEATools::iea_cols.

Value

A data frame with the desired IEA data only.

Examples

IEATools::sample_iea_data_path() |>
  IEATools::load_tidy_iea_df() |>
  filter_countries_years(countries = c("ZAF"), years = 1960:1999)
#> # A tibble: 98 × 11
#>    Country Method Energy.type Last.stage  Year Ledger.side
#>    <chr>   <chr>  <chr>       <chr>      <dbl> <chr>      
#>  1 ZAF     PCM    E           Final       1971 Supply     
#>  2 ZAF     PCM    E           Final       1971 Supply     
#>  3 ZAF     PCM    E           Final       1971 Supply     
#>  4 ZAF     PCM    E           Final       1971 Supply     
#>  5 ZAF     PCM    E           Final       1971 Supply     
#>  6 ZAF     PCM    E           Final       1971 Supply     
#>  7 ZAF     PCM    E           Final       1971 Supply     
#>  8 ZAF     PCM    E           Final       1971 Supply     
#>  9 ZAF     PCM    E           Final       1971 Supply     
#> 10 ZAF     PCM    E           Final       1971 Supply     
#> # ℹ 88 more rows
#> # ℹ 5 more variables: Flow.aggregation.point <chr>, Flow <chr>, Product <chr>,
#> #   Unit <chr>, E.dot <dbl>