Diagnose Missing Values — diagnose_nas • tidyaudit

Reports NA counts and percentages for each column in a data.frame, sorted by missing percentage in descending order.

Usage

diagnose_nas(.data)

# S3 method for class 'diagnose_na'
print(x, ...)

Arguments

.data: A data.frame or tibble to diagnose.
x: An object to print.
...: Additional arguments (currently unused).

Value

An S3 object of class diagnose_na containing:

table: A data.frame with columns variable, n_na, pct_na, and n_valid, sorted by pct_na descending.
n_cols: Total number of columns in the input.
n_with_na: Number of columns that have at least one NA.

See also

Other data quality: audit_transform(), diagnose_strings(), get_summary_table(), summarize_column(), tab()

Examples

df <- data.frame(
  a = c(1, NA, 3),
  b = c(NA, NA, "x"),
  c = c(TRUE, FALSE, TRUE)
)
diagnose_nas(df)
#> 
#> ── Missing Value Diagnosis ─────────────────────────────────────────────────────
#> 2 of 3 columns have missing values
#> 
#>   Variable  N NA  Pct NA
#>   ────────  ────  ──────
#>   b            2   66.7%
#>   a            1   33.3%