clean_contact: Dispose of Uninformative Emails and Phones

In sysilviakim/voterdiffR: Evaluating the Quality of Changes in Voter Registration Databases

Description

This function takes a dataframe that contains personal contacts such as emails and addresses, and cleans out uninformative contacts. For example, if a particular email address is input as fake or a default value from some particular setting, these values are replaced as NA. Similarly for phone numbers, if they are likely fake such as [phone] or contains only area numbers, they are replaced as NA.

Usage

clean_contact(df, email = NULL, email_exc = "[e-mail]",
  phone = NULL, phone_exc = "___-____")

Arguments

df	Input dataframe to be cleaned of uninformative contacts.
email	Name of the email address field. Defaults to NULL.
email_exc	Emails that are to be cleaned. Defaults to a single vector of abc at example.com
phone	Name of the phone number field. Defaults to NULL.
phone_exc	Phone numbers that are to be cleaned. Defaults to "___-____".

Value

Output dataframe with cleaned contacts.

sysilviakim/voterdiffR documentation built on June 22, 2020, 6:51 p.m.