This project provides data and visualization on the representation of former members of the National Socialist German Workers' Party (NSDAP) in the German Bundestag (Federal Parliament) during the Federal Republic of Germany.

This project, coding documentation and all of its plots are published in a bookdown format, available at the following URL:

https://danielkuhlen.github.io/nsdapmembers.bundestag/

The bookdown format allows for a more comprehensive and interactive presentation of the data and results, making it easier to understand and explore the findings.

The data on the representation of former NSDAP members in the German Bundestag is available in csv format at the following URL: https://github.com/danielkuhlen/nsdapmembers.bundestag/blob/master/btmembernazi.csv

To download the dataset in R, you can use the read.csv function from the base R library.

Here is an example of how to use the read.csv function to download the data:

nsdap_data <- read.csv("https://raw.githubusercontent.com/danielkuhlen/nsdapmembers.bundestag/master/btmembernazi.csv")

In Python, you can use the pandas library to download and read the csv file. To do this, you can use the read_csv function from the pandas library.

Here is an example of how to use the read_csv function to download the data in Python:

import pandas as pd

nsdap_data = pd.read_csv("https://raw.githubusercontent.com/danielkuhlen/nsdapmembers.bundestag/master/btmembernazi.csv")

In Stata, you can use the import delimited command to download and read the csv file. Here is an example of how to use the import delimited command to download the data in Stata:

import delimited "https://raw.githubusercontent.com/danielkuhlen/nsdapmembers.bundestag/master/btmembernazi.csv", clear

If you use this repository or its contents in your work, please cite it as follows:

Kuhlen, Daniel. (2023). nsdapmembers.bundestag: Data and visualization on the representation of former NSDAP members in the German Bundestag. GitHub repository. https://github.com/danielkuhlen/nsdapmembers.bundestag