Profile date / datetime columns — analyze

For each Date/POSIXct column, reports the count, missingness, range, and the largest gap between consecutive (sorted, unique) timestamps – a quick way to spot coverage holes in a time series.

Usage

analyze_dates(df, types = NULL)

Arguments

df: A data frame.
types: Optional named character vector of column types; computed if not supplied.

Value

A data frame with one row per date column (column, n, n_missing, min, max, range_days, n_unique, max_gap_days), or NULL if there are no date columns.

Examples

df <- data.frame(d = as.Date("2026-01-01") + c(0, 1, 2, 10))
analyze_dates(df)
#>   column n n_missing        min        max range_days n_unique max_gap_days
#> 1      d 4         0 2026-01-01 2026-01-11         10        4            8