Apply Filters to a Dataset — apply

This function applies a set of filters to a dataset. Each filter specifies a column, condition, and value to filter the dataset.

apply_filters(raw_data, filters)

Arguments

raw_data: A data frame containing the raw data to be filtered.
filters: A list of filters, where each filter is a list containing the column, condition, and value.

Value

A data frame containing the filtered data.

Details

The function iterates over the list of filters and applies each filter to the dataset. The supported conditions are ==, >, <, >=, and <=.

Examples

if (FALSE) { # \dontrun{
  # Example usage:
  raw_data <- mtcars
  filters <- list(
    filter1 = list(column = "mpg", condition = ">", value = "20"),
    filter2 = list(column = "cyl", condition = "==", value = "6")
  )
  filtered_data <- apply_filters(raw_data, filters)
} # }