email_to_sectors: Probabilistically match emails to an economic sector

In brandonleekramer/tidyorgs: Standardize messy text data for organizational analysis

Description

This function assigns entries into a selected economic sector by probabilistically matching common domains and sub-domains like ".edu" and ".co.uk". Matched entries return "misc." with the appropriate sector name in the output column. This function has been integrated as an optional parameter alongside the email_to_orgs() function in the detect_orgs() function.

Usage

email_to_sectors(
  data,
  id,
  input,
  output,
  sector = c("academic", "business", "government", "nonprofit")
)

Arguments

data	A data frame or data frame extension (e.g. a tibble).
id	A numeric or character vector unique to each entry.
input	Character vector of emails or email domains that will be matched to the economic sector.
output	Output column to be created as string or symbol.
sector	Sector to match emails. Currently, the only option is "academic" with "business", "government", "household", and "nonprofit" in development.

Examples

library(tidyverse)
library(tidyorgs)
data(github_users)

classified_by_email <- github_users %>%
  email_to_sectors(login, email, organization, academic)

brandonleekramer/tidyorgs documentation built on Dec. 19, 2021, 11:42 a.m.