nazihuntR
: Tools to explore ZAŁOGA SS KL AUSCHWITZ data-store which contains information about Nazis who served at Auschwitz
Ref: http://pamiec.pl/
In January 2017 the Krakow Rememberance Institute published documents about the nearly 9,000 Nazi's who worked at Auschwitz concentration camp. This package builds an API wrapper around this data. In addition, the package utizies Ryan Hafen's incredible trelliscopeJS package to allow for interactive exploration of the data.
The packages allows you scrape the data real-time using the get_nazis
function, this can take up to an hour depending on your internet speed. As an alternative the import_nazis
function provides real-time access to the data as of February 1st, 2017.
The package also provides links to documents, typically in German or Polish, for any Nazi's that have public records.
The following functions are implemented:
get_nazis
: scrapes current dataimport_nazis
: imports cached datavisualize_nazis
: visualizes a trelliscope of the daatidy_counts
: tidy multiple count columns
devtools::install_github("abresler/nazihuntR")
devtools::install_github("hafen/trelliscopejs") # required for interactive analysis
library(nazihuntR)
library(dplyr)
get_nazis(parse_bios = TRUE, tidy_columns = FALSE, return_message = TRUE) ## scrapes
df_all <-
nazihuntR::import_nazi_data(table_name = 'all') # returns cached table of all nazi data
df_names <-
nazihuntR::import_nazi_data(table_name = 'names') # returns cached table of all nazi names
df_items <-
nazihuntR::import_nazi_data(table_name = 'items') # returns cached table of all nazi fields with multiple items
nazihuntR::import_nazis(table_name = 'names', visualize_results = TRUE) # provides a trelliscope view
nazihuntR::import_nazis(table_name = 'items') %>%
visualize_nazis(title = "Nazis With Multiple Items")
- Full tidying of the data
- Transalations
- OCR of documents
- Image analysis tools