Compute summary metrics for a dataset — dg

Computes key metrics describing a parsed dataset: its in-memory weight in kilobytes, the number of variables, the number of numeric and non-numeric variables, the number of rows and the proportion of missing values.

Usage

dg_summary(x, name = NULL)

Arguments

x: A data frame or tibble (a single table, e.g. one element of the list returned by dg_pull_dataset()).
name: An optional label attached to the result (e.g. the dataset title). When NULL (the default), the label is taken from the expression passed to x when possible.

Value

A tibble::tibble() with a single row and the following columns: dataset, size_kb, n_vars, n_numeric, n_non_numeric, n_rows and prop_missing.

Examples

dg_summary(iris, name = "iris")
#> # A tibble: 1 × 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