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Summarizes missing values per column of a tidy data frame: the number and percentage of missing entries. The row dimension is covered by plot_na_heatmap().

Usage

na_summary(data, .cols = dplyr::everything())

Arguments

data

A data frame.

.cols

<tidy-select> Columns to summarize; defaults to all columns.

Value

A tibble: variable, n_missing, pct_missing (original column order).

Examples

d = data.frame(x = c(1, NA, 3), y = c(NA, NA, 2))
na_summary(d)
#> # A tibble: 2 × 3
#>   variable n_missing pct_missing
#>   <chr>        <int>       <dbl>
#> 1 x                1       0.333
#> 2 y                2       0.667