Data-projects-with-R-and-GitHub

Analysis of historical data regarding genocides

The main goal of this project is to use the given data (in the data folder) to determine the percentage of the population that was killed in each of the five genocides (sub-divided by backgroud of the victims) and to calculate the efficiency of killing in the respective genocide by comparing the number of victims of all five genocides we have data on in a certain time period. The result should be a plot detailing the efficiency of genocidal killing in development over time on the right side (highlight the different genocides by color and, based on the total number of persons killed in relation to the general population of the corresponding country, by size of the elements used in the left graph; it should also show all given backgrounds of the victims) and another plot situated on the left side showing the percentage of the local and the world population killed in each genocide in the corresponding time period in the respective country.

About the data sources

The data used in this project was obtained from the statistical data repository Statista and supplemented with data from historical sources. The data from Statista is available with the University Licence of the UB Tuebingen and [can be downloaded from the website] (https://de.statista.com/login/campus]. It is available in German in the XLS format and was translated to English, converted to CSV and slightly modified for use in this project.

Citation for the original data data sources is as follows:

Important notice for solving this project

For the total population regarding the Herero-and-Nama-Genocide, use the line labeled “Deutsch-Südwestafrika” and for the total population regarding the Maji-Maji-Uprising, use the line labeled “Deutsch-Ostafrika” from the population_german-colonies_1910.csv-dataset respectively (we do not have this data for the years 1904-1909). For the rwanda_victims.csv-dataset, use the rwanda_victims_ethnicity.csv-dataset to include the ethnic background of the victims in the resulting graph.