utils_clean_address: Clean directory address entries

In podcleaner: Legacy Scottish Post Office Directories Cleaner

Description

Clean address entries in the provided directory dataframe.

Usage

utils_clean_address(directory, type = c("body", "number", "ends"))

Arguments

directory	A directory dataframe.
type	A character string: "body", "number" or "ends". Specifies the type of address cleaning to be performed. For "body", "number" and "ends" clean_address_body, clean_address_number and clean_address_ends are called respectively

Value

A dataframe.

Examples

## Not run: 
  directory <- data.frame(
    page = c("71", "71"),
    surname = c("ABOT", "ABRCROMBIE"), forename = c("Wm.", "Alex"),
    occupation = c("Wine and spirit merchant", "Baker"),
    address.number = c(" -; 1820", ",,12"),
    address.body = c(
      "London st. ; house, Mary hill.*",
      "&;Dixon st.; residence, Craigrownie, Cove.$"
    ),
    stringsAsFactors = FALSE
  )
  utils_clean_address(directory, "body")
  utils_clean_address(directory, "number")

## End(Not run)

podcleaner documentation built on Jan. 12, 2022, 1:06 a.m.