Summarise several datasets

Applies dg_summary() to a collection of tables and combines the resulting metrics into a single tibble. If datasets is NULL, the first n datasets returned by dg_find_datasets() are downloaded and summarised.

Usage

dg_summarise(datasets = NULL, n = 100)

Arguments

datasets

Either a named list of tibbles (each element is a single table, named after it), a named list of such lists (as returned by dg_pull_dataset(), where a ZIP may contribute several tables), a tibble from dg_find_datasets() (identified by its id column; each dataset is downloaded and summarised), a character vector of dataset identifiers (or exact titles), or NULL (the default) to use the first n datasets from dg_find_datasets().

n

Number of datasets to summarise when datasets is NULL. Defaults to 100.

Value

A tibble::tibble() with one row per table and the columns described in dg_summary().

Examples

# Summarise in-memory tables (no network needed).
dg_summarise(datasets = list(iris = iris, mtcars = mtcars))
#> # A tibble: 2 × 7
#>   dataset size_kb n_vars n_numeric n_non_numeric n_rows prop_missing
#> * <chr>     <dbl>  <int>     <int>         <int>  <int>        <dbl>
#> 1 iris       7.09      5         4             1    150            0
#> 2 mtcars     7.04     11        11             0     32            0

if (FALSE) { # interactive()
# Download and summarise the first datasets of the catalog.
dg_summarise()
}