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:
You can install:
the latest released version from CRAN with
r
install.packages("detector")
the latest development version from github with
r
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.
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 |
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 |
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