detector makes detecting data containing Personally Identifiable Information (PII) quick, easy, and scalable. It provides high-level functions that can take vectors and data.frames and return important summary statistics in a convenient data.frame. Once complete, detector will be able to detect the following types of PII:

• Full name
• Home address
• E-mail address
• National identification number
• Passport number
• Social Security number
• IP address
• Vehicle registration plate number
• Driver's license number
• Credit card number
• Date of birth
• Birthplace
• Telephone number
• Latitude and longtiude

State of the Union

Complete!

• E-mail address
• Telephone number
• National identification number

Needs more work...

• Credit card number

Haven't even started :(

• Full name
• Date of birth
• Home address
• IP address
• Vehicle registration plate number
• Driver's license number
• Birthplace
• Latitude and longtiude

Installation

You can install:

• the latest released version from CRAN with

  install.packages("detector")

• the latest development version from github with

  if (packageVersion("devtools") < 1.6) {
    install.packages("devtools")
  }
  devtools::install_github("paulhendricks/detector")

If you encounter a clear bug, please file a minimal reproducible example on github.

API

Generate data containing fake PII

library(dplyr, warn.conflicts = FALSE)
library(generator)
n <- 6
ashley_madison <-
  data.frame(name = r_full_names(n),
             email = r_email_addresses(n),
             phone_number = r_phone_numbers(n, use_hyphens = TRUE,
                                            use_spaces = TRUE),
             stringsAsFactors = FALSE)
ashley_madison %>%
  knitr::kable(format = "markdown")

Detect data containing PII

library(detector)
ashley_madison %>%
  detect %>%
  knitr::kable(format = "markdown")