Infer a starter dictionary from a data frame

Proposes a starter dictionary (column dictionary schema) from raw data by guessing column types, roles, and basic metadata. IRIs and semantic fields are left blank for manual or GPT-assisted completion.

Usage

infer_dictionary(
  df,
  guess_types = TRUE,
  dataset_id = "dataset-1",
  table_id = "table-1"
)

Arguments

df

A data frame or tibble to analyze

guess_types

Logical; if TRUE (default), infer value types from data

dataset_id

Character; dataset identifier (default: "dataset-1")

table_id

Character; table identifier (default: "table-1")

Value

A tibble with dictionary schema columns: dataset_id, table_id, column_name, column_label, column_description, column_role, value_type, unit_label, unit_iri, term_iri, term_type, required

Examples

if (FALSE) { # \dontrun{
df <- data.frame(
  species = c("Coho", "Chinook"),
  count = c(100, 200),
  date = as.Date(c("2024-01-01", "2024-01-02"))
)
dict <- infer_dictionary(df)
} # }