Apply OJO Regex — ojo_apply

This function applies regular expressions patterns to clean and categorize charge descriptions in a given dataset.

Usage

ojo_apply_regex(
  data,
  col_to_clean = "count_as_filed",
  .keep_flags = FALSE,
  .include_cats = TRUE
)

Arguments

data: A data frame containing the dataset to be processed.
col_to_clean: The name of the column in the dataset containing the charge descriptions to be cleaned and categorized.
.keep_flags: Logical value indicating whether to keep the concept flags generated during processing. Defaults to FALSE, which returns only the cleaned dataset without the flags.
.include_cats: Logical value indiciating whether the categories / subcategories should be included in the returned data

Value

A cleaned and categorized dataset with charge descriptions in the specified column, along with any additional columns present in the original dataset.

Examples

if (FALSE) { # \dontrun{
# Load example dataset
data(example_data)

# Apply OJO Regex to clean and categorize charge descriptions
cleaned_data <- apply_ojo_regex(data = example_data, col_to_clean = "charge_description")
} # }