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Validate a CSV data frame against the ANA metric map

validate_csv.Rd

Checks header structure, UOA uniqueness, and per-cell type constraints. Returns an ana_validation_result object with full error detail.

Usage

validate_csv(df, metric_map, opts = list())

Arguments

df

A data.frame (or tibble) with one row per unit of analysis. All values are expected to be character strings or NA (as produced by readr::read_csv() with col_types = cols(.default = "c")), but numeric columns are also accepted and coerced to character for checking.

metric_map

A named list keyed by metric ID (e.g. "MET001"). Each value must be a list with at least a type element (the type string used for cell-level validation).

opts

A list of options:

  • require_non_empty (logical, default FALSE): if TRUE, empty cells are treated as errors rather than missing values.

Value

An ana_validation_result list with elements: ok, header_errors, cell_errors (tibble), warnings, duplicate_uoas, missingness (tibble), metadata_cols, meta.