Create a data dictionary for a data frame

This function generates a stable data dictionary for a data frame using codebook::skim_codebook(). It is designed to work even when skim output omits type-specific summary columns, such as numeric summaries for data frames without numeric variables.

Make_DataDictionary() has been superseded by MakeDataDictionary(). It remains available as a backwards-compatible alias and returns the same data dictionary.

Usage

MakeDataDictionary(
  data,
  digits = 2,
  DataFrame = lifecycle::deprecated(),
  numdecimals = lifecycle::deprecated()
)

Make_DataDictionary(...)

Arguments

data

A data frame.

digits

Number of decimals to display for numeric variables.

DataFrame

Deprecated (since 19.15.0). Use data instead.

numdecimals

Deprecated (since 19.15.0). Use digits instead.

...

Arguments passed to MakeDataDictionary().

Value

A data frame with one row per variable and stable summary columns.

Examples

df <- tibble::tibble(
  group = factor(c("A", "B", "A")),
  status = c("yes", "no", "yes")
)
if (requireNamespace("codebook", quietly = TRUE)) {
  MakeDataDictionary(df)
}
#> # A tibble: 2 × 14
#>   Variable Label Type      `Ordered Factor` n_missing complete_rate n_unique
#>   <chr>    <chr> <chr>     <chr>            <chr>     <chr>         <chr>   
#> 1 group    ""    factor    "FALSE"          0         1             2       
#> 2 status   ""    character " "              0         1             2       
#> # ℹ 7 more variables: `Top Counts` <chr>, Mean <chr>, Median <chr>, SD <chr>,
#> #   Min <chr>, Max <chr>, Histogram <chr>