Background

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.

Package functions

The following functions are implemented:

• get_nazis: scrapes current data
• import_nazis: imports cached data
• visualize_nazis: visualizes a trelliscope of the daa
• tidy_counts: tidy multiple count columns

Installation

devtools::install_github("abresler/nazihuntR") 
devtools::install_github("hafen/trelliscopejs") # required for interactive analysis

Usage

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")

Coming Soon

• Full tidying of the data
• Transalations
• OCR of documents
• Image analysis tools