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.

Usage

MakeDataDictionary(DataFrame, numdecimals = 2)

Arguments

DataFrame

A data frame.

numdecimals

Number of decimals to display for numeric variables.

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>