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detector

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")

name	email	phone_number
Leonardo Rodriguez	xed@be.eny	254- 851- 6814
Dee Rice	ecfoa@rtnlyudbe.yhj	597- 978- 5193
Conception Marquardt	wnz@xid.anc	184- 962- 8153
Collette Nitzsche	tqghfxe@fsleqhmnjd.wkh	475- 723- 2947
Norman Pfannerstill	oyhl@szxby.mag	153- 674- 4219
Katelin Gislason	vq@zatsl.wyg	831- 847- 1568

Detect data containing PII

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

column_name	has_email_addresses	has_phone_numbers	has_national_identification_numbers
name	FALSE	FALSE	FALSE
email	TRUE	FALSE	FALSE
phone_number	FALSE	TRUE	FALSE

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.