Profiles each column in a data frame, detecting type, computing summary statistics, missingness, cardinality, and flags for free-text, dates, and haven-labelled vectors.
Value
An S3 object of class dataganger_profile, which is a list
containing:
profile: a tibble with one row per column.n_rows: total number of rows.n_cols: total number of columns.generated_at: POSIXct timestamp of when profiling ran.
Examples
df <- data.frame(
id = 1:5,
name = letters[1:5],
score = c(10.1, 15.2, NA, 13.8, 11.0)
)
profile_data(df)
#>
#> ── DataGangeR Profile ──────────────────────────────────────────────────────────
#> 5 rows x 3 columns
#>
#> ── Column types ──
#>
#> • character: 1
#> • numeric: 2
#>
#> ── Missingness summary ──
#>
#> Total missing: 1 / 15 (6.7%)
#>
#> ── Per-column details ──
#>
#> ── id (numeric)
#> • Missing: 0 (0%)
#> • Distinct values: 5
#> • Range: [1, 5]
#> • Mean (SD): 3 (1.58)
#> • Median (IQR): 3 (2 -- 4)
#>
#> ── name (character)
#> • Missing: 0 (0%)
#> • Distinct values: 5
#> • Mean char length: 1
#>
#> ── score (numeric)
#> • Missing: 1 (20%)
#> • Distinct values: 4
#> • Range: [10.1, 15.2]
#> • Mean (SD): 12.53 (2.38)
#> • Median (IQR): 12.4 (10.78 -- 14.15)
#>
#> ℹ Generated at 2026-07-03 01:21:58.742739