This function provides information about the variables available in the education finance dataset, including their names, types, and brief descriptions.
Examples
# list all available variables in skinny dataset
vars <- list_variables()
head(vars)
#> # A tibble: 6 × 6
#> name type category source first_yr_avail description
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 ncesid character id NCES F-33 Survey 2012 NCES distr…
#> 2 year integer time NCES F-33 Survey 2012 School yea…
#> 3 state character geographic NCES F-33 Survey 2012 State abbr…
#> 4 dist_name character id NCES F-33 Survey 2012 District n…
#> 5 enroll numeric demographic NCES F-33 Survey 2012 Total dist…
#> 6 rev_total_pp numeric revenue NCES F-33 Survey 2012 Total adju…
# list all variables in full dataset
full_vars <- list_variables(dataset_type = "full")
nrow(full_vars)
#> [1] 89
# list only expenditure variables in full dataset
exp_vars <- list_variables(dataset_type = "full", category = "expenditure")
head(exp_vars)
#> # A tibble: 6 × 6
#> name type category source first_yr_avail description
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 exp_cur_pp numeric expenditure NCES F-33 Surv… 2016 Current ex…
#> 2 rev_exp_pp_diff numeric expenditure NCES F-33 Surv… 2016 Revenue mi…
#> 3 exp_cur_st_loc numeric expenditure NCES F-33 Surv… 2016 Current ex…
#> 4 exp_cur_fed numeric expenditure NCES F-33 Surv… 2016 Current ex…
#> 5 exp_cur_resa numeric expenditure NCES F-33 Surv… 2018 Current ex…
#> 6 exp_cur_total numeric expenditure NCES F-33 Surv… 2016 Total curr…