This project is mainly considered as a exercise in the usage of git (and GitHub), Rstudio and possibly developing a shiny App. Based on the vaccination data published by the RKI this project will focus on creating a visualization of the development of vaccinations administered on county level.

As mentioned the main data originates directly from the data published by the RKI. It’s divided into date of vaccination applied, vaccination place based on county id, vaccination category (first, second or third shot), age group and a count of applied vaccinations in a given county. To achieve a better usability and readability of the county id, which is derived from the AGS (amtlicher Gemeindeschlüssel), I matched the vaccination table to data acquired from regionalstatistik.de (see References for further information). This allowed me to create an easily searchable string where either county id or county (or in some cases city) name can be provided to find the desired vaccination place.

This section briefly describes the shiny app and covers user inputs and visualization description.

The Shiny application allows currently for three different user selections. Vaccination place, vaccination categories and time-period.

1. Vaccination place: Uses county id or name. Currently only one county/ city can be selected.
2. Vaccination category: Select first, second, third shot or all three. Every category is displayed by a single graph.
3. Time-Period: Allows for a period specification. Default is always the global earliest and latest data point in the vaccination data. A special behaviour is triggered when selecting only one day (line graph changes to a bar-plot).

First and foremost the app provides a visualization of the vaccinations applied in a given county by drawing a line graph based on the cumulative sum of administered vaccines. An exception occurs if a single day is selected. In this case a simple bar plot is drawn (one column per category). Below the graph a table summarises the end sum of vaccinations per chosen category in the selected period.

Currently the change to a single day visualisation produces a confusing graph with a terrible x-axis and buggy legend. The data in the table and in the tooltip are correct though.

Robert Koch-Institut (2021): COVID-19-Impfungen in Deutschland, Berlin: Zenodo. DOI: 10.5281/zenodo.5126652

Statistische Ämter des Bundes und der Länder, Regionalstatistik: 11111-01-01-5 Gebietsfläche in qkm - Stichtag 31.12. - regionale Tiefe: Gemeinden, URL: tinyurl.com/agsdatasource